| 2025-06-01 07:43:25,798 - 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+ |
| ------------------------------------------------------------ |
|
|
| 2025-06-01 07:43:26,095 - pyskl - INFO - Config: modality = 'k' |
| graph = 'uav' |
| work_dir = './work_dirs/uav_csv2/k_1' |
| model = dict( |
| type='RecognizerGCN', |
| backbone=dict( |
| type='GCN_Module_LLM', |
| llm_model='gpt4o', |
| llm_modality='k', |
| num_classes=155, |
| tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], |
| graph_cfg=dict( |
| layout='uav', |
| mode='random', |
| num_filter=8, |
| init_off=0.04, |
| init_std=0.02)), |
| cls_head=dict( |
| type='SimpleHead', |
| joint_cfg='uav', |
| num_classes=155, |
| in_channels=384, |
| work_dir='./work_dirs/uav_csv2/k_1', |
| interval_epoch=5, |
| weight_1=0.05, |
| weight_2=0.2)) |
| dataset_type = 'PoseDataset' |
| ann_file = '/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl' |
| train_pipeline = [ |
| dict(type='UniformSampleFrames', clip_len=100), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['k']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ] |
| val_pipeline = [ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=1), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['k']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ] |
| test_pipeline = [ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=10), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['k']), |
| dict(type='FormatGCNInput', num_person=2), |
| 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/uav/uav_human_CSv2.pkl', |
| pipeline=[ |
| dict(type='UniformSampleFrames', clip_len=100), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['k']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ], |
| split='train'), |
| val=dict( |
| type='PoseDataset', |
| ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl', |
| pipeline=[ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=1), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['k']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ], |
| split='val'), |
| test=dict( |
| type='PoseDataset', |
| ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl', |
| pipeline=[ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=10), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['k']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ], |
| split='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', 'mean_class_accuracy'], topk=(1, 5)) |
| log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) |
| dist_params = dict(backend='nccl') |
| gpu_ids = range(0, 1) |
|
|
| 2025-06-01 07:43:26,096 - pyskl - INFO - Set random seed to 862474469, deterministic: False |
| 2025-06-01 07:43:38,226 - pyskl - INFO - 16432 videos remain after valid thresholding |
| 2025-06-01 07:43:44,928 - pyskl - INFO - 6599 videos remain after valid thresholding |
| 2025-06-01 07:43:44,970 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/uav_csv2/k_1 |
| 2025-06-01 07:43:44,970 - 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 |
| -------------------- |
| 2025-06-01 07:43:44,970 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs |
| 2025-06-01 07:43:44,970 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/uav_csv2/k_1 by HardDiskBackend. |
| 2025-06-01 07:44:49,076 - pyskl - INFO - Epoch [1][100/1027] lr: 2.500e-02, eta: 1 day, 3:24:45, time: 0.641, data_time: 0.255, memory: 7959, top1_acc: 0.0063, top5_acc: 0.0425, loss_cls: 11.0483, loss: 11.0483 |
| 2025-06-01 07:45:27,390 - pyskl - INFO - Epoch [1][200/1027] lr: 2.500e-02, eta: 21:53:02, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0119, top5_acc: 0.0619, loss_cls: 10.5895, loss: 10.5895 |
| 2025-06-01 07:46:05,728 - pyskl - INFO - Epoch [1][300/1027] lr: 2.500e-02, eta: 20:02:15, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0169, top5_acc: 0.0675, loss_cls: 10.3904, loss: 10.3904 |
| 2025-06-01 07:46:43,780 - pyskl - INFO - Epoch [1][400/1027] lr: 2.500e-02, eta: 19:04:42, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0150, top5_acc: 0.0688, loss_cls: 10.3173, loss: 10.3173 |
| 2025-06-01 07:47:21,764 - pyskl - INFO - Epoch [1][500/1027] lr: 2.500e-02, eta: 18:29:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0106, top5_acc: 0.0650, loss_cls: 10.2670, loss: 10.2670 |
| 2025-06-01 07:47:59,782 - pyskl - INFO - Epoch [1][600/1027] lr: 2.500e-02, eta: 18:06:06, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0569, loss_cls: 10.2667, loss: 10.2667 |
| 2025-06-01 07:48:37,822 - pyskl - INFO - Epoch [1][700/1027] lr: 2.500e-02, eta: 17:49:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0138, top5_acc: 0.0600, loss_cls: 10.2294, loss: 10.2294 |
| 2025-06-01 07:49:16,029 - pyskl - INFO - Epoch [1][800/1027] lr: 2.500e-02, eta: 17:36:56, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.0156, top5_acc: 0.0638, loss_cls: 10.1918, loss: 10.1918 |
| 2025-06-01 07:49:54,375 - pyskl - INFO - Epoch [1][900/1027] lr: 2.500e-02, eta: 17:27:38, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0194, top5_acc: 0.0750, loss_cls: 10.1563, loss: 10.1563 |
| 2025-06-01 07:50:32,660 - pyskl - INFO - Epoch [1][1000/1027] lr: 2.500e-02, eta: 17:19:55, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0163, top5_acc: 0.0963, loss_cls: 10.0673, loss: 10.0673 |
| 2025-06-01 07:50:43,712 - pyskl - INFO - Saving checkpoint at 1 epochs |
| 2025-06-01 07:51:21,034 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 07:51:21,096 - pyskl - INFO - |
| top1_acc 0.0171 |
| top5_acc 0.0862 |
| 2025-06-01 07:51:21,096 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 07:51:21,103 - pyskl - INFO - |
| mean_acc 0.0184 |
| 2025-06-01 07:51:22,654 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. |
| 2025-06-01 07:51:22,656 - pyskl - INFO - Best top1_acc is 0.0171 at 1 epoch. |
| 2025-06-01 07:51:22,660 - pyskl - INFO - Epoch(val) [1][413] top1_acc: 0.0171, top5_acc: 0.0862, mean_class_accuracy: 0.0184 |
| 2025-06-01 07:52:26,632 - pyskl - INFO - Epoch [2][100/1027] lr: 2.500e-02, eta: 17:46:37, time: 0.640, data_time: 0.256, memory: 7959, top1_acc: 0.0194, top5_acc: 0.0881, loss_cls: 10.0747, loss: 10.0747 |
| 2025-06-01 07:53:04,944 - pyskl - INFO - Epoch [2][200/1027] lr: 2.500e-02, eta: 17:38:35, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0281, top5_acc: 0.1006, loss_cls: 9.9773, loss: 9.9773 |
| 2025-06-01 07:53:43,140 - pyskl - INFO - Epoch [2][300/1027] lr: 2.500e-02, eta: 17:31:26, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.0200, top5_acc: 0.1050, loss_cls: 9.9345, loss: 9.9345 |
| 2025-06-01 07:54:21,285 - pyskl - INFO - Epoch [2][400/1027] lr: 2.499e-02, eta: 17:25:06, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0281, top5_acc: 0.1187, loss_cls: 9.8867, loss: 9.8867 |
| 2025-06-01 07:54:59,460 - pyskl - INFO - Epoch [2][500/1027] lr: 2.499e-02, eta: 17:19:34, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.0262, top5_acc: 0.1212, loss_cls: 9.8752, loss: 9.8752 |
| 2025-06-01 07:55:37,526 - pyskl - INFO - Epoch [2][600/1027] lr: 2.499e-02, eta: 17:14:28, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0275, top5_acc: 0.1231, loss_cls: 9.8049, loss: 9.8049 |
| 2025-06-01 07:56:15,656 - pyskl - INFO - Epoch [2][700/1027] lr: 2.499e-02, eta: 17:09:59, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0306, top5_acc: 0.1250, loss_cls: 9.7523, loss: 9.7523 |
| 2025-06-01 07:56:54,115 - pyskl - INFO - Epoch [2][800/1027] lr: 2.499e-02, eta: 17:06:22, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.0325, top5_acc: 0.1381, loss_cls: 9.7156, loss: 9.7156 |
| 2025-06-01 07:57:32,482 - pyskl - INFO - Epoch [2][900/1027] lr: 2.499e-02, eta: 17:02:57, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.0444, top5_acc: 0.1525, loss_cls: 9.6652, loss: 9.6652 |
| 2025-06-01 07:58:10,723 - pyskl - INFO - Epoch [2][1000/1027] lr: 2.499e-02, eta: 16:59:38, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.0406, top5_acc: 0.1681, loss_cls: 9.5563, loss: 9.5563 |
| 2025-06-01 07:58:22,250 - pyskl - INFO - Saving checkpoint at 2 epochs |
| 2025-06-01 07:59:00,086 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 07:59:00,156 - pyskl - INFO - |
| top1_acc 0.0344 |
| top5_acc 0.1450 |
| 2025-06-01 07:59:00,156 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 07:59:00,164 - pyskl - INFO - |
| mean_acc 0.0379 |
| 2025-06-01 07:59:00,221 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_1.pth was removed |
| 2025-06-01 07:59:01,770 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. |
| 2025-06-01 07:59:01,772 - pyskl - INFO - Best top1_acc is 0.0344 at 2 epoch. |
| 2025-06-01 07:59:01,776 - pyskl - INFO - Epoch(val) [2][413] top1_acc: 0.0344, top5_acc: 0.1450, mean_class_accuracy: 0.0379 |
| 2025-06-01 08:00:05,701 - pyskl - INFO - Epoch [3][100/1027] lr: 2.499e-02, eta: 17:13:51, time: 0.639, data_time: 0.255, memory: 7959, top1_acc: 0.0419, top5_acc: 0.1769, loss_cls: 9.4314, loss: 9.4314 |
| 2025-06-01 08:00:44,051 - pyskl - INFO - Epoch [3][200/1027] lr: 2.499e-02, eta: 17:10:22, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0500, top5_acc: 0.1981, loss_cls: 9.3736, loss: 9.3736 |
| 2025-06-01 08:01:22,321 - pyskl - INFO - Epoch [3][300/1027] lr: 2.499e-02, eta: 17:07:03, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0437, top5_acc: 0.1975, loss_cls: 9.3272, loss: 9.3272 |
| 2025-06-01 08:02:00,607 - pyskl - INFO - Epoch [3][400/1027] lr: 2.498e-02, eta: 17:03:58, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0444, top5_acc: 0.1888, loss_cls: 9.3530, loss: 9.3530 |
| 2025-06-01 08:02:38,782 - pyskl - INFO - Epoch [3][500/1027] lr: 2.498e-02, eta: 17:00:58, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.0594, top5_acc: 0.2175, loss_cls: 9.2147, loss: 9.2147 |
| 2025-06-01 08:03:16,777 - pyskl - INFO - Epoch [3][600/1027] lr: 2.498e-02, eta: 16:57:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0594, top5_acc: 0.2288, loss_cls: 9.1511, loss: 9.1511 |
| 2025-06-01 08:03:54,986 - pyskl - INFO - Epoch [3][700/1027] lr: 2.498e-02, eta: 16:55:21, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.0644, top5_acc: 0.2462, loss_cls: 9.0591, loss: 9.0591 |
| 2025-06-01 08:04:33,319 - pyskl - INFO - Epoch [3][800/1027] lr: 2.498e-02, eta: 16:52:58, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0575, top5_acc: 0.2394, loss_cls: 9.0809, loss: 9.0809 |
| 2025-06-01 08:05:11,715 - pyskl - INFO - Epoch [3][900/1027] lr: 2.498e-02, eta: 16:50:45, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.0831, top5_acc: 0.2775, loss_cls: 8.9255, loss: 8.9255 |
| 2025-06-01 08:05:50,149 - pyskl - INFO - Epoch [3][1000/1027] lr: 2.498e-02, eta: 16:48:41, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.0712, top5_acc: 0.2681, loss_cls: 9.0191, loss: 9.0191 |
| 2025-06-01 08:06:01,540 - pyskl - INFO - Saving checkpoint at 3 epochs |
| 2025-06-01 08:06:39,159 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 08:06:39,231 - pyskl - INFO - |
| top1_acc 0.0893 |
| top5_acc 0.3504 |
| 2025-06-01 08:06:39,231 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 08:06:39,240 - pyskl - INFO - |
| mean_acc 0.0909 |
| 2025-06-01 08:06:39,296 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_2.pth was removed |
| 2025-06-01 08:06:40,964 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. |
| 2025-06-01 08:06:40,966 - pyskl - INFO - Best top1_acc is 0.0893 at 3 epoch. |
| 2025-06-01 08:06:40,970 - pyskl - INFO - Epoch(val) [3][413] top1_acc: 0.0893, top5_acc: 0.3504, mean_class_accuracy: 0.0909 |
| 2025-06-01 08:07:45,379 - pyskl - INFO - Epoch [4][100/1027] lr: 2.497e-02, eta: 16:58:30, time: 0.644, data_time: 0.260, memory: 7959, top1_acc: 0.0762, top5_acc: 0.2963, loss_cls: 8.8704, loss: 8.8704 |
| 2025-06-01 08:08:23,847 - pyskl - INFO - Epoch [4][200/1027] lr: 2.497e-02, eta: 16:56:16, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.0781, top5_acc: 0.2744, loss_cls: 8.8960, loss: 8.8960 |
| 2025-06-01 08:09:02,244 - pyskl - INFO - Epoch [4][300/1027] lr: 2.497e-02, eta: 16:54:05, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.0819, top5_acc: 0.3106, loss_cls: 8.7696, loss: 8.7696 |
| 2025-06-01 08:09:40,363 - pyskl - INFO - Epoch [4][400/1027] lr: 2.497e-02, eta: 16:51:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0963, top5_acc: 0.3337, loss_cls: 8.6826, loss: 8.6826 |
| 2025-06-01 08:10:18,476 - pyskl - INFO - Epoch [4][500/1027] lr: 2.497e-02, eta: 16:49:33, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0938, top5_acc: 0.3319, loss_cls: 8.6935, loss: 8.6935 |
| 2025-06-01 08:10:56,765 - pyskl - INFO - Epoch [4][600/1027] lr: 2.496e-02, eta: 16:47:33, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1138, top5_acc: 0.3544, loss_cls: 8.6200, loss: 8.6200 |
| 2025-06-01 08:11:35,110 - pyskl - INFO - Epoch [4][700/1027] lr: 2.496e-02, eta: 16:45:38, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1163, top5_acc: 0.3681, loss_cls: 8.5505, loss: 8.5505 |
| 2025-06-01 08:12:12,948 - pyskl - INFO - Epoch [4][800/1027] lr: 2.496e-02, eta: 16:43:29, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.1050, top5_acc: 0.3681, loss_cls: 8.5670, loss: 8.5670 |
| 2025-06-01 08:12:51,278 - pyskl - INFO - Epoch [4][900/1027] lr: 2.496e-02, eta: 16:41:42, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1225, top5_acc: 0.4037, loss_cls: 8.4246, loss: 8.4246 |
| 2025-06-01 08:13:29,739 - pyskl - INFO - Epoch [4][1000/1027] lr: 2.496e-02, eta: 16:40:04, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.1119, top5_acc: 0.3969, loss_cls: 8.4290, loss: 8.4290 |
| 2025-06-01 08:13:40,957 - pyskl - INFO - Saving checkpoint at 4 epochs |
| 2025-06-01 08:14:18,890 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 08:14:18,961 - pyskl - INFO - |
| top1_acc 0.1773 |
| top5_acc 0.5525 |
| 2025-06-01 08:14:18,961 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 08:14:18,968 - pyskl - INFO - |
| mean_acc 0.1775 |
| 2025-06-01 08:14:19,024 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_3.pth was removed |
| 2025-06-01 08:14:20,560 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. |
| 2025-06-01 08:14:20,561 - pyskl - INFO - Best top1_acc is 0.1773 at 4 epoch. |
| 2025-06-01 08:14:20,564 - pyskl - INFO - Epoch(val) [4][413] top1_acc: 0.1773, top5_acc: 0.5525, mean_class_accuracy: 0.1775 |
| 2025-06-01 08:15:24,871 - pyskl - INFO - Epoch [5][100/1027] lr: 2.495e-02, eta: 16:47:13, time: 0.643, data_time: 0.258, memory: 7959, top1_acc: 0.1313, top5_acc: 0.4269, loss_cls: 8.2969, loss: 8.2969 |
| 2025-06-01 08:16:03,249 - pyskl - INFO - Epoch [5][200/1027] lr: 2.495e-02, eta: 16:45:25, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.1313, top5_acc: 0.4231, loss_cls: 8.2810, loss: 8.2810 |
| 2025-06-01 08:16:41,428 - pyskl - INFO - Epoch [5][300/1027] lr: 2.495e-02, eta: 16:43:33, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.1363, top5_acc: 0.4331, loss_cls: 8.2489, loss: 8.2489 |
| 2025-06-01 08:17:19,491 - pyskl - INFO - Epoch [5][400/1027] lr: 2.495e-02, eta: 16:41:40, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.1481, top5_acc: 0.4525, loss_cls: 8.1496, loss: 8.1496 |
| 2025-06-01 08:17:57,559 - pyskl - INFO - Epoch [5][500/1027] lr: 2.494e-02, eta: 16:39:51, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.1469, top5_acc: 0.4581, loss_cls: 8.1899, loss: 8.1899 |
| 2025-06-01 08:18:35,565 - pyskl - INFO - Epoch [5][600/1027] lr: 2.494e-02, eta: 16:38:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.1506, top5_acc: 0.4731, loss_cls: 8.1478, loss: 8.1478 |
| 2025-06-01 08:19:13,661 - pyskl - INFO - Epoch [5][700/1027] lr: 2.494e-02, eta: 16:36:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.1487, top5_acc: 0.4506, loss_cls: 8.0912, loss: 8.0912 |
| 2025-06-01 08:19:51,775 - pyskl - INFO - Epoch [5][800/1027] lr: 2.494e-02, eta: 16:34:42, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.1737, top5_acc: 0.4825, loss_cls: 8.0609, loss: 8.0609 |
| 2025-06-01 08:20:29,882 - pyskl - INFO - Epoch [5][900/1027] lr: 2.493e-02, eta: 16:33:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.1706, top5_acc: 0.4744, loss_cls: 8.0891, loss: 8.0891 |
| 2025-06-01 08:21:07,983 - pyskl - INFO - Epoch [5][1000/1027] lr: 2.493e-02, eta: 16:31:30, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.1719, top5_acc: 0.4788, loss_cls: 8.0745, loss: 8.0745 |
| 2025-06-01 08:21:18,904 - pyskl - INFO - Saving checkpoint at 5 epochs |
| 2025-06-01 08:41:42,840 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 08:41:42,910 - pyskl - INFO - |
| top1_acc 0.2202 |
| top5_acc 0.6146 |
| 2025-06-01 08:41:42,911 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 08:41:42,918 - pyskl - INFO - |
| mean_acc 0.2193 |
| 2025-06-01 08:41:42,976 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_4.pth was removed |
| 2025-06-01 08:41:44,529 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. |
| 2025-06-01 08:41:44,530 - pyskl - INFO - Best top1_acc is 0.2202 at 5 epoch. |
| 2025-06-01 08:41:44,533 - pyskl - INFO - Epoch(val) [5][413] top1_acc: 0.2202, top5_acc: 0.6146, mean_class_accuracy: 0.2193 |
| 2025-06-01 08:42:48,277 - pyskl - INFO - Epoch [6][100/1027] lr: 2.493e-02, eta: 16:36:50, time: 0.637, data_time: 0.255, memory: 7959, top1_acc: 0.1825, top5_acc: 0.5144, loss_cls: 7.9324, loss: 7.9324 |
| 2025-06-01 08:43:26,246 - pyskl - INFO - Epoch [6][200/1027] lr: 2.493e-02, eta: 16:35:07, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.1963, top5_acc: 0.5294, loss_cls: 7.7570, loss: 7.7570 |
| 2025-06-01 08:44:04,360 - pyskl - INFO - Epoch [6][300/1027] lr: 2.492e-02, eta: 16:33:32, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2031, top5_acc: 0.5188, loss_cls: 7.8231, loss: 7.8231 |
| 2025-06-01 08:44:42,803 - pyskl - INFO - Epoch [6][400/1027] lr: 2.492e-02, eta: 16:32:07, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.1725, top5_acc: 0.5125, loss_cls: 7.8599, loss: 7.8599 |
| 2025-06-01 08:45:21,039 - pyskl - INFO - Epoch [6][500/1027] lr: 2.492e-02, eta: 16:30:38, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2069, top5_acc: 0.5194, loss_cls: 7.8049, loss: 7.8049 |
| 2025-06-01 08:45:59,368 - pyskl - INFO - Epoch [6][600/1027] lr: 2.491e-02, eta: 16:29:13, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2069, top5_acc: 0.5444, loss_cls: 7.7744, loss: 7.7744 |
| 2025-06-01 08:46:37,717 - pyskl - INFO - Epoch [6][700/1027] lr: 2.491e-02, eta: 16:27:51, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2031, top5_acc: 0.5337, loss_cls: 7.6617, loss: 7.6617 |
| 2025-06-01 08:47:16,038 - pyskl - INFO - Epoch [6][800/1027] lr: 2.491e-02, eta: 16:26:29, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1994, top5_acc: 0.5456, loss_cls: 7.7694, loss: 7.7694 |
| 2025-06-01 08:47:54,212 - pyskl - INFO - Epoch [6][900/1027] lr: 2.491e-02, eta: 16:25:05, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.1925, top5_acc: 0.5144, loss_cls: 7.8008, loss: 7.8008 |
| 2025-06-01 08:48:32,496 - pyskl - INFO - Epoch [6][1000/1027] lr: 2.490e-02, eta: 16:23:46, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2325, top5_acc: 0.5581, loss_cls: 7.5617, loss: 7.5617 |
| 2025-06-01 08:48:43,596 - pyskl - INFO - Saving checkpoint at 6 epochs |
| 2025-06-01 08:49:21,080 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 08:49:21,154 - pyskl - INFO - |
| top1_acc 0.2823 |
| top5_acc 0.6836 |
| 2025-06-01 08:49:21,154 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 08:49:21,163 - pyskl - INFO - |
| mean_acc 0.2795 |
| 2025-06-01 08:49:21,223 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_5.pth was removed |
| 2025-06-01 08:49:22,807 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. |
| 2025-06-01 08:49:22,808 - pyskl - INFO - Best top1_acc is 0.2823 at 6 epoch. |
| 2025-06-01 08:49:22,812 - pyskl - INFO - Epoch(val) [6][413] top1_acc: 0.2823, top5_acc: 0.6836, mean_class_accuracy: 0.2795 |
| 2025-06-01 08:50:26,744 - pyskl - INFO - Epoch [7][100/1027] lr: 2.490e-02, eta: 16:28:08, time: 0.639, data_time: 0.257, memory: 7959, top1_acc: 0.2213, top5_acc: 0.5637, loss_cls: 7.5751, loss: 7.5751 |
| 2025-06-01 08:51:04,798 - pyskl - INFO - Epoch [7][200/1027] lr: 2.489e-02, eta: 16:26:40, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2256, top5_acc: 0.5525, loss_cls: 7.5908, loss: 7.5908 |
| 2025-06-01 08:51:42,983 - pyskl - INFO - Epoch [7][300/1027] lr: 2.489e-02, eta: 16:25:16, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2275, top5_acc: 0.5756, loss_cls: 7.5162, loss: 7.5162 |
| 2025-06-01 08:52:20,938 - pyskl - INFO - Epoch [7][400/1027] lr: 2.489e-02, eta: 16:23:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.2444, top5_acc: 0.5694, loss_cls: 7.4832, loss: 7.4832 |
| 2025-06-01 08:52:59,044 - pyskl - INFO - Epoch [7][500/1027] lr: 2.488e-02, eta: 16:22:26, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2338, top5_acc: 0.5625, loss_cls: 7.5933, loss: 7.5933 |
| 2025-06-01 08:53:37,205 - pyskl - INFO - Epoch [7][600/1027] lr: 2.488e-02, eta: 16:21:06, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2406, top5_acc: 0.5837, loss_cls: 7.4662, loss: 7.4662 |
| 2025-06-01 08:54:15,555 - pyskl - INFO - Epoch [7][700/1027] lr: 2.488e-02, eta: 16:19:52, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2188, top5_acc: 0.5581, loss_cls: 7.6832, loss: 7.6832 |
| 2025-06-01 08:54:53,973 - pyskl - INFO - Epoch [7][800/1027] lr: 2.487e-02, eta: 16:18:40, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.2381, top5_acc: 0.5956, loss_cls: 7.4341, loss: 7.4341 |
| 2025-06-01 08:55:32,291 - pyskl - INFO - Epoch [7][900/1027] lr: 2.487e-02, eta: 16:17:26, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2550, top5_acc: 0.5962, loss_cls: 7.4496, loss: 7.4496 |
| 2025-06-01 08:56:10,736 - pyskl - INFO - Epoch [7][1000/1027] lr: 2.487e-02, eta: 16:16:17, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.2512, top5_acc: 0.5950, loss_cls: 7.4365, loss: 7.4365 |
| 2025-06-01 08:56:21,958 - pyskl - INFO - Saving checkpoint at 7 epochs |
| 2025-06-01 08:56:59,811 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 08:56:59,884 - pyskl - INFO - |
| top1_acc 0.2832 |
| top5_acc 0.6924 |
| 2025-06-01 08:56:59,884 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 08:56:59,892 - pyskl - INFO - |
| mean_acc 0.2797 |
| 2025-06-01 08:56:59,952 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_6.pth was removed |
| 2025-06-01 08:57:01,542 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. |
| 2025-06-01 08:57:01,543 - pyskl - INFO - Best top1_acc is 0.2832 at 7 epoch. |
| 2025-06-01 08:57:01,546 - pyskl - INFO - Epoch(val) [7][413] top1_acc: 0.2832, top5_acc: 0.6924, mean_class_accuracy: 0.2797 |
| 2025-06-01 08:58:05,445 - pyskl - INFO - Epoch [8][100/1027] lr: 2.486e-02, eta: 16:19:53, time: 0.639, data_time: 0.258, memory: 7959, top1_acc: 0.2669, top5_acc: 0.6306, loss_cls: 7.2471, loss: 7.2471 |
| 2025-06-01 08:58:43,686 - pyskl - INFO - Epoch [8][200/1027] lr: 2.486e-02, eta: 16:18:36, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2481, top5_acc: 0.5869, loss_cls: 7.4858, loss: 7.4858 |
| 2025-06-01 08:59:22,243 - pyskl - INFO - Epoch [8][300/1027] lr: 2.485e-02, eta: 16:17:27, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.2625, top5_acc: 0.6138, loss_cls: 7.4167, loss: 7.4167 |
| 2025-06-01 09:00:00,404 - pyskl - INFO - Epoch [8][400/1027] lr: 2.485e-02, eta: 16:16:12, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2644, top5_acc: 0.5900, loss_cls: 7.4253, loss: 7.4253 |
| 2025-06-01 09:00:38,481 - pyskl - INFO - Epoch [8][500/1027] lr: 2.485e-02, eta: 16:14:55, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2581, top5_acc: 0.6062, loss_cls: 7.3677, loss: 7.3677 |
| 2025-06-01 09:01:16,693 - pyskl - INFO - Epoch [8][600/1027] lr: 2.484e-02, eta: 16:13:42, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2512, top5_acc: 0.6106, loss_cls: 7.3174, loss: 7.3174 |
| 2025-06-01 09:01:54,890 - pyskl - INFO - Epoch [8][700/1027] lr: 2.484e-02, eta: 16:12:30, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2744, top5_acc: 0.6294, loss_cls: 7.1952, loss: 7.1952 |
| 2025-06-01 09:02:33,483 - pyskl - INFO - Epoch [8][800/1027] lr: 2.483e-02, eta: 16:11:26, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.2725, top5_acc: 0.6100, loss_cls: 7.2479, loss: 7.2479 |
| 2025-06-01 09:03:11,735 - pyskl - INFO - Epoch [8][900/1027] lr: 2.483e-02, eta: 16:10:16, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2769, top5_acc: 0.6169, loss_cls: 7.2601, loss: 7.2601 |
| 2025-06-01 09:03:49,992 - pyskl - INFO - Epoch [8][1000/1027] lr: 2.483e-02, eta: 16:09:07, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2775, top5_acc: 0.6100, loss_cls: 7.3156, loss: 7.3156 |
| 2025-06-01 09:04:01,408 - pyskl - INFO - Saving checkpoint at 8 epochs |
| 2025-06-01 09:04:39,180 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 09:04:39,261 - pyskl - INFO - |
| top1_acc 0.3288 |
| top5_acc 0.7098 |
| 2025-06-01 09:04:39,261 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 09:04:39,272 - pyskl - INFO - |
| mean_acc 0.3305 |
| 2025-06-01 09:04:39,344 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_7.pth was removed |
| 2025-06-01 09:04:40,900 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. |
| 2025-06-01 09:04:40,902 - pyskl - INFO - Best top1_acc is 0.3288 at 8 epoch. |
| 2025-06-01 09:04:40,904 - pyskl - INFO - Epoch(val) [8][413] top1_acc: 0.3288, top5_acc: 0.7098, mean_class_accuracy: 0.3305 |
| 2025-06-01 09:05:44,164 - pyskl - INFO - Epoch [9][100/1027] lr: 2.482e-02, eta: 16:11:58, time: 0.633, data_time: 0.252, memory: 7959, top1_acc: 0.2537, top5_acc: 0.6531, loss_cls: 7.1816, loss: 7.1816 |
| 2025-06-01 09:06:22,245 - pyskl - INFO - Epoch [9][200/1027] lr: 2.482e-02, eta: 16:10:44, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2775, top5_acc: 0.6444, loss_cls: 7.1057, loss: 7.1057 |
| 2025-06-01 09:07:00,629 - pyskl - INFO - Epoch [9][300/1027] lr: 2.481e-02, eta: 16:09:37, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.2787, top5_acc: 0.6131, loss_cls: 7.1918, loss: 7.1918 |
| 2025-06-01 09:07:38,966 - pyskl - INFO - Epoch [9][400/1027] lr: 2.481e-02, eta: 16:08:29, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2881, top5_acc: 0.6306, loss_cls: 7.2165, loss: 7.2165 |
| 2025-06-01 09:08:17,098 - pyskl - INFO - Epoch [9][500/1027] lr: 2.480e-02, eta: 16:07:19, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3050, top5_acc: 0.6525, loss_cls: 7.1487, loss: 7.1487 |
| 2025-06-01 09:08:55,119 - pyskl - INFO - Epoch [9][600/1027] lr: 2.480e-02, eta: 16:06:07, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3044, top5_acc: 0.6419, loss_cls: 7.0846, loss: 7.0846 |
| 2025-06-01 09:09:33,482 - pyskl - INFO - Epoch [9][700/1027] lr: 2.479e-02, eta: 16:05:02, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.2900, top5_acc: 0.6238, loss_cls: 7.2781, loss: 7.2781 |
| 2025-06-01 09:10:11,910 - pyskl - INFO - Epoch [9][800/1027] lr: 2.479e-02, eta: 16:03:58, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3000, top5_acc: 0.6400, loss_cls: 7.1647, loss: 7.1647 |
| 2025-06-01 09:10:50,296 - pyskl - INFO - Epoch [9][900/1027] lr: 2.478e-02, eta: 16:02:55, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3056, top5_acc: 0.6456, loss_cls: 7.1204, loss: 7.1204 |
| 2025-06-01 09:11:28,751 - pyskl - INFO - Epoch [9][1000/1027] lr: 2.478e-02, eta: 16:01:53, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.2925, top5_acc: 0.6212, loss_cls: 7.2362, loss: 7.2362 |
| 2025-06-01 09:11:39,975 - pyskl - INFO - Saving checkpoint at 9 epochs |
| 2025-06-01 09:12:17,621 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 09:12:17,694 - pyskl - INFO - |
| top1_acc 0.3401 |
| top5_acc 0.7492 |
| 2025-06-01 09:12:17,694 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 09:12:17,702 - pyskl - INFO - |
| mean_acc 0.3434 |
| 2025-06-01 09:12:17,758 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_8.pth was removed |
| 2025-06-01 09:12:19,315 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. |
| 2025-06-01 09:12:19,317 - pyskl - INFO - Best top1_acc is 0.3401 at 9 epoch. |
| 2025-06-01 09:12:19,320 - pyskl - INFO - Epoch(val) [9][413] top1_acc: 0.3401, top5_acc: 0.7492, mean_class_accuracy: 0.3434 |
| 2025-06-01 09:13:23,018 - pyskl - INFO - Epoch [10][100/1027] lr: 2.477e-02, eta: 16:04:25, time: 0.637, data_time: 0.256, memory: 7959, top1_acc: 0.3063, top5_acc: 0.6438, loss_cls: 7.0386, loss: 7.0386 |
| 2025-06-01 09:14:01,047 - pyskl - INFO - Epoch [10][200/1027] lr: 2.477e-02, eta: 16:03:15, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3262, top5_acc: 0.6687, loss_cls: 6.8570, loss: 6.8570 |
| 2025-06-01 09:14:39,398 - pyskl - INFO - Epoch [10][300/1027] lr: 2.476e-02, eta: 16:02:10, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3131, top5_acc: 0.6575, loss_cls: 7.0113, loss: 7.0113 |
| 2025-06-01 09:15:17,834 - pyskl - INFO - Epoch [10][400/1027] lr: 2.476e-02, eta: 16:01:08, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3256, top5_acc: 0.6538, loss_cls: 6.9240, loss: 6.9240 |
| 2025-06-01 09:15:56,080 - pyskl - INFO - Epoch [10][500/1027] lr: 2.475e-02, eta: 16:00:03, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3050, top5_acc: 0.6488, loss_cls: 7.0300, loss: 7.0300 |
| 2025-06-01 09:16:34,277 - pyskl - INFO - Epoch [10][600/1027] lr: 2.475e-02, eta: 15:58:58, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3063, top5_acc: 0.6500, loss_cls: 7.0613, loss: 7.0613 |
| 2025-06-01 09:17:12,570 - pyskl - INFO - Epoch [10][700/1027] lr: 2.474e-02, eta: 15:57:54, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3231, top5_acc: 0.6794, loss_cls: 6.9601, loss: 6.9601 |
| 2025-06-01 09:17:50,499 - pyskl - INFO - Epoch [10][800/1027] lr: 2.474e-02, eta: 15:56:47, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3325, top5_acc: 0.6619, loss_cls: 6.9841, loss: 6.9841 |
| 2025-06-01 09:18:28,412 - pyskl - INFO - Epoch [10][900/1027] lr: 2.473e-02, eta: 15:55:39, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3231, top5_acc: 0.6681, loss_cls: 6.9474, loss: 6.9474 |
| 2025-06-01 09:19:06,675 - pyskl - INFO - Epoch [10][1000/1027] lr: 2.473e-02, eta: 15:54:37, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3063, top5_acc: 0.6469, loss_cls: 7.0541, loss: 7.0541 |
| 2025-06-01 09:19:17,910 - pyskl - INFO - Saving checkpoint at 10 epochs |
| 2025-06-01 09:40:12,697 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 09:40:12,769 - pyskl - INFO - |
| top1_acc 0.3949 |
| top5_acc 0.7728 |
| 2025-06-01 09:40:12,769 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 09:40:12,777 - pyskl - INFO - |
| mean_acc 0.3939 |
| 2025-06-01 09:40:12,838 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_9.pth was removed |
| 2025-06-01 09:40:14,417 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. |
| 2025-06-01 09:40:14,419 - pyskl - INFO - Best top1_acc is 0.3949 at 10 epoch. |
| 2025-06-01 09:40:14,422 - pyskl - INFO - Epoch(val) [10][413] top1_acc: 0.3949, top5_acc: 0.7728, mean_class_accuracy: 0.3939 |
| 2025-06-01 09:41:18,694 - pyskl - INFO - Epoch [11][100/1027] lr: 2.472e-02, eta: 15:56:56, time: 0.643, data_time: 0.260, memory: 7959, top1_acc: 0.3344, top5_acc: 0.6887, loss_cls: 6.8490, loss: 6.8490 |
| 2025-06-01 09:41:56,701 - pyskl - INFO - Epoch [11][200/1027] lr: 2.472e-02, eta: 15:55:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3187, top5_acc: 0.6663, loss_cls: 6.9729, loss: 6.9729 |
| 2025-06-01 09:42:34,878 - pyskl - INFO - Epoch [11][300/1027] lr: 2.471e-02, eta: 15:54:45, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3344, top5_acc: 0.6506, loss_cls: 6.9605, loss: 6.9605 |
| 2025-06-01 09:43:13,015 - pyskl - INFO - Epoch [11][400/1027] lr: 2.471e-02, eta: 15:53:41, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3194, top5_acc: 0.6562, loss_cls: 6.9405, loss: 6.9405 |
| 2025-06-01 09:43:51,531 - pyskl - INFO - Epoch [11][500/1027] lr: 2.470e-02, eta: 15:52:43, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.3419, top5_acc: 0.6713, loss_cls: 6.9448, loss: 6.9448 |
| 2025-06-01 09:44:29,811 - pyskl - INFO - Epoch [11][600/1027] lr: 2.469e-02, eta: 15:51:42, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3538, top5_acc: 0.6706, loss_cls: 6.8129, loss: 6.8129 |
| 2025-06-01 09:45:07,933 - pyskl - INFO - Epoch [11][700/1027] lr: 2.469e-02, eta: 15:50:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3475, top5_acc: 0.6856, loss_cls: 6.8546, loss: 6.8546 |
| 2025-06-01 09:45:46,586 - pyskl - INFO - Epoch [11][800/1027] lr: 2.468e-02, eta: 15:49:43, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.3369, top5_acc: 0.6650, loss_cls: 6.8113, loss: 6.8113 |
| 2025-06-01 09:46:25,037 - pyskl - INFO - Epoch [11][900/1027] lr: 2.468e-02, eta: 15:48:45, time: 0.385, data_time: 0.001, memory: 7959, top1_acc: 0.3162, top5_acc: 0.6675, loss_cls: 6.9055, loss: 6.9055 |
| 2025-06-01 09:47:03,180 - pyskl - INFO - Epoch [11][1000/1027] lr: 2.467e-02, eta: 15:47:44, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3306, top5_acc: 0.6856, loss_cls: 6.8555, loss: 6.8555 |
| 2025-06-01 09:47:14,259 - pyskl - INFO - Saving checkpoint at 11 epochs |
| 2025-06-01 09:47:51,989 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 09:47:52,062 - pyskl - INFO - |
| top1_acc 0.4331 |
| top5_acc 0.7962 |
| 2025-06-01 09:47:52,062 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 09:47:52,070 - pyskl - INFO - |
| mean_acc 0.4307 |
| 2025-06-01 09:47:52,130 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_10.pth was removed |
| 2025-06-01 09:47:53,702 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. |
| 2025-06-01 09:47:53,704 - pyskl - INFO - Best top1_acc is 0.4331 at 11 epoch. |
| 2025-06-01 09:47:53,707 - pyskl - INFO - Epoch(val) [11][413] top1_acc: 0.4331, top5_acc: 0.7962, mean_class_accuracy: 0.4307 |
| 2025-06-01 09:48:58,442 - pyskl - INFO - Epoch [12][100/1027] lr: 2.466e-02, eta: 15:49:51, time: 0.647, data_time: 0.264, memory: 7959, top1_acc: 0.3594, top5_acc: 0.6863, loss_cls: 6.7980, loss: 6.7980 |
| 2025-06-01 09:49:36,450 - pyskl - INFO - Epoch [12][200/1027] lr: 2.466e-02, eta: 15:48:47, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3494, top5_acc: 0.6837, loss_cls: 6.8433, loss: 6.8433 |
| 2025-06-01 09:50:14,519 - pyskl - INFO - Epoch [12][300/1027] lr: 2.465e-02, eta: 15:47:44, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3244, top5_acc: 0.6737, loss_cls: 6.9187, loss: 6.9187 |
| 2025-06-01 09:50:52,621 - pyskl - INFO - Epoch [12][400/1027] lr: 2.465e-02, eta: 15:46:42, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3344, top5_acc: 0.6594, loss_cls: 6.9250, loss: 6.9250 |
| 2025-06-01 09:51:30,890 - pyskl - INFO - Epoch [12][500/1027] lr: 2.464e-02, eta: 15:45:42, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3681, top5_acc: 0.6881, loss_cls: 6.7001, loss: 6.7001 |
| 2025-06-01 09:52:09,145 - pyskl - INFO - Epoch [12][600/1027] lr: 2.463e-02, eta: 15:44:43, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3350, top5_acc: 0.6731, loss_cls: 6.9217, loss: 6.9217 |
| 2025-06-01 09:52:47,227 - pyskl - INFO - Epoch [12][700/1027] lr: 2.463e-02, eta: 15:43:42, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3613, top5_acc: 0.6881, loss_cls: 6.6221, loss: 6.6221 |
| 2025-06-01 09:53:25,554 - pyskl - INFO - Epoch [12][800/1027] lr: 2.462e-02, eta: 15:42:44, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3431, top5_acc: 0.6687, loss_cls: 6.7930, loss: 6.7930 |
| 2025-06-01 09:54:03,930 - pyskl - INFO - Epoch [12][900/1027] lr: 2.462e-02, eta: 15:41:47, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3525, top5_acc: 0.6800, loss_cls: 6.7837, loss: 6.7837 |
| 2025-06-01 09:54:42,045 - pyskl - INFO - Epoch [12][1000/1027] lr: 2.461e-02, eta: 15:40:47, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3656, top5_acc: 0.6887, loss_cls: 6.6690, loss: 6.6690 |
| 2025-06-01 09:54:53,109 - pyskl - INFO - Saving checkpoint at 12 epochs |
| 2025-06-01 09:55:30,486 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 09:55:30,558 - pyskl - INFO - |
| top1_acc 0.4229 |
| top5_acc 0.7756 |
| 2025-06-01 09:55:30,558 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 09:55:30,566 - pyskl - INFO - |
| mean_acc 0.4141 |
| 2025-06-01 09:55:30,568 - pyskl - INFO - Epoch(val) [12][413] top1_acc: 0.4229, top5_acc: 0.7756, mean_class_accuracy: 0.4141 |
| 2025-06-01 09:56:34,410 - pyskl - INFO - Epoch [13][100/1027] lr: 2.460e-02, eta: 15:42:28, time: 0.638, data_time: 0.257, memory: 7959, top1_acc: 0.3544, top5_acc: 0.6937, loss_cls: 6.7597, loss: 6.7597 |
| 2025-06-01 09:57:12,352 - pyskl - INFO - Epoch [13][200/1027] lr: 2.459e-02, eta: 15:41:25, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3731, top5_acc: 0.7094, loss_cls: 6.6451, loss: 6.6451 |
| 2025-06-01 09:57:50,305 - pyskl - INFO - Epoch [13][300/1027] lr: 2.459e-02, eta: 15:40:23, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3719, top5_acc: 0.7031, loss_cls: 6.6875, loss: 6.6875 |
| 2025-06-01 09:58:28,405 - pyskl - INFO - Epoch [13][400/1027] lr: 2.458e-02, eta: 15:39:24, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3619, top5_acc: 0.6919, loss_cls: 6.6605, loss: 6.6605 |
| 2025-06-01 09:59:06,555 - pyskl - INFO - Epoch [13][500/1027] lr: 2.458e-02, eta: 15:38:25, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3744, top5_acc: 0.7069, loss_cls: 6.6273, loss: 6.6273 |
| 2025-06-01 09:59:44,607 - pyskl - INFO - Epoch [13][600/1027] lr: 2.457e-02, eta: 15:37:25, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3387, top5_acc: 0.6750, loss_cls: 6.8196, loss: 6.8196 |
| 2025-06-01 10:00:22,538 - pyskl - INFO - Epoch [13][700/1027] lr: 2.456e-02, eta: 15:36:24, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3694, top5_acc: 0.7169, loss_cls: 6.5461, loss: 6.5461 |
| 2025-06-01 10:01:00,606 - pyskl - INFO - Epoch [13][800/1027] lr: 2.456e-02, eta: 15:35:25, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3619, top5_acc: 0.6969, loss_cls: 6.7354, loss: 6.7354 |
| 2025-06-01 10:01:38,505 - pyskl - INFO - Epoch [13][900/1027] lr: 2.455e-02, eta: 15:34:25, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3725, top5_acc: 0.7094, loss_cls: 6.6493, loss: 6.6493 |
| 2025-06-01 10:02:16,345 - pyskl - INFO - Epoch [13][1000/1027] lr: 2.454e-02, eta: 15:33:24, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3594, top5_acc: 0.6831, loss_cls: 6.7084, loss: 6.7084 |
| 2025-06-01 10:02:27,305 - pyskl - INFO - Saving checkpoint at 13 epochs |
| 2025-06-01 10:03:04,760 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 10:03:04,832 - pyskl - INFO - |
| top1_acc 0.4329 |
| top5_acc 0.7971 |
| 2025-06-01 10:03:04,832 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 10:03:04,840 - pyskl - INFO - |
| mean_acc 0.4276 |
| 2025-06-01 10:03:04,842 - pyskl - INFO - Epoch(val) [13][413] top1_acc: 0.4329, top5_acc: 0.7971, mean_class_accuracy: 0.4276 |
| 2025-06-01 10:04:09,392 - pyskl - INFO - Epoch [14][100/1027] lr: 2.453e-02, eta: 15:35:00, time: 0.645, data_time: 0.264, memory: 7959, top1_acc: 0.3650, top5_acc: 0.6850, loss_cls: 6.6582, loss: 6.6582 |
| 2025-06-01 10:04:47,316 - pyskl - INFO - Epoch [14][200/1027] lr: 2.453e-02, eta: 15:34:00, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3881, top5_acc: 0.7175, loss_cls: 6.5850, loss: 6.5850 |
| 2025-06-01 10:05:25,301 - pyskl - INFO - Epoch [14][300/1027] lr: 2.452e-02, eta: 15:33:00, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3713, top5_acc: 0.6956, loss_cls: 6.6449, loss: 6.6449 |
| 2025-06-01 10:06:03,361 - pyskl - INFO - Epoch [14][400/1027] lr: 2.451e-02, eta: 15:32:02, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3775, top5_acc: 0.7188, loss_cls: 6.4993, loss: 6.4993 |
| 2025-06-01 10:06:41,910 - pyskl - INFO - Epoch [14][500/1027] lr: 2.450e-02, eta: 15:31:09, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.3675, top5_acc: 0.6931, loss_cls: 6.7016, loss: 6.7016 |
| 2025-06-01 10:07:20,028 - pyskl - INFO - Epoch [14][600/1027] lr: 2.450e-02, eta: 15:30:12, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3819, top5_acc: 0.7137, loss_cls: 6.6168, loss: 6.6168 |
| 2025-06-01 10:07:58,002 - pyskl - INFO - Epoch [14][700/1027] lr: 2.449e-02, eta: 15:29:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3688, top5_acc: 0.7125, loss_cls: 6.5663, loss: 6.5663 |
| 2025-06-01 10:08:36,278 - pyskl - INFO - Epoch [14][800/1027] lr: 2.448e-02, eta: 15:28:18, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3606, top5_acc: 0.6869, loss_cls: 6.6231, loss: 6.6231 |
| 2025-06-01 10:09:14,717 - pyskl - INFO - Epoch [14][900/1027] lr: 2.448e-02, eta: 15:27:25, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3750, top5_acc: 0.7156, loss_cls: 6.5898, loss: 6.5898 |
| 2025-06-01 10:09:52,824 - pyskl - INFO - Epoch [14][1000/1027] lr: 2.447e-02, eta: 15:26:28, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3713, top5_acc: 0.7063, loss_cls: 6.6224, loss: 6.6224 |
| 2025-06-01 10:10:03,917 - pyskl - INFO - Saving checkpoint at 14 epochs |
| 2025-06-01 10:10:41,249 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 10:10:41,321 - pyskl - INFO - |
| top1_acc 0.4728 |
| top5_acc 0.8153 |
| 2025-06-01 10:10:41,321 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 10:10:41,329 - pyskl - INFO - |
| mean_acc 0.4639 |
| 2025-06-01 10:10:41,387 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_11.pth was removed |
| 2025-06-01 10:10:42,963 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. |
| 2025-06-01 10:10:42,965 - pyskl - INFO - Best top1_acc is 0.4728 at 14 epoch. |
| 2025-06-01 10:10:42,968 - pyskl - INFO - Epoch(val) [14][413] top1_acc: 0.4728, top5_acc: 0.8153, mean_class_accuracy: 0.4639 |
| 2025-06-01 10:11:46,901 - pyskl - INFO - Epoch [15][100/1027] lr: 2.446e-02, eta: 15:27:47, time: 0.639, data_time: 0.259, memory: 7959, top1_acc: 0.3775, top5_acc: 0.7050, loss_cls: 6.5556, loss: 6.5556 |
| 2025-06-01 10:12:24,979 - pyskl - INFO - Epoch [15][200/1027] lr: 2.445e-02, eta: 15:26:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4125, top5_acc: 0.7294, loss_cls: 6.4004, loss: 6.4004 |
| 2025-06-01 10:13:02,983 - pyskl - INFO - Epoch [15][300/1027] lr: 2.444e-02, eta: 15:25:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3962, top5_acc: 0.7087, loss_cls: 6.5114, loss: 6.5114 |
| 2025-06-01 10:13:40,877 - pyskl - INFO - Epoch [15][400/1027] lr: 2.444e-02, eta: 15:24:54, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3738, top5_acc: 0.7137, loss_cls: 6.6054, loss: 6.6054 |
| 2025-06-01 10:14:18,511 - pyskl - INFO - Epoch [15][500/1027] lr: 2.443e-02, eta: 15:23:53, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3875, top5_acc: 0.7212, loss_cls: 6.5121, loss: 6.5121 |
| 2025-06-01 10:14:56,085 - pyskl - INFO - Epoch [15][600/1027] lr: 2.442e-02, eta: 15:22:52, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3819, top5_acc: 0.6994, loss_cls: 6.6720, loss: 6.6720 |
| 2025-06-01 10:15:33,710 - pyskl - INFO - Epoch [15][700/1027] lr: 2.441e-02, eta: 15:21:52, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3744, top5_acc: 0.6875, loss_cls: 6.6059, loss: 6.6059 |
| 2025-06-01 10:16:11,440 - pyskl - INFO - Epoch [15][800/1027] lr: 2.441e-02, eta: 15:20:54, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3800, top5_acc: 0.7156, loss_cls: 6.5341, loss: 6.5341 |
| 2025-06-01 10:16:49,331 - pyskl - INFO - Epoch [15][900/1027] lr: 2.440e-02, eta: 15:19:57, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3800, top5_acc: 0.7150, loss_cls: 6.5143, loss: 6.5143 |
| 2025-06-01 10:17:26,800 - pyskl - INFO - Epoch [15][1000/1027] lr: 2.439e-02, eta: 15:18:56, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3906, top5_acc: 0.7156, loss_cls: 6.5095, loss: 6.5095 |
| 2025-06-01 10:17:37,891 - pyskl - INFO - Saving checkpoint at 15 epochs |
| 2025-06-01 10:38:17,613 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 10:38:17,681 - pyskl - INFO - |
| top1_acc 0.4389 |
| top5_acc 0.7963 |
| 2025-06-01 10:38:17,681 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 10:38:17,689 - pyskl - INFO - |
| mean_acc 0.4332 |
| 2025-06-01 10:38:17,690 - pyskl - INFO - Epoch(val) [15][413] top1_acc: 0.4389, top5_acc: 0.7963, mean_class_accuracy: 0.4332 |
| 2025-06-01 10:39:21,636 - pyskl - INFO - Epoch [16][100/1027] lr: 2.438e-02, eta: 15:20:06, time: 0.639, data_time: 0.258, memory: 7959, top1_acc: 0.4044, top5_acc: 0.7212, loss_cls: 6.3867, loss: 6.3867 |
| 2025-06-01 10:39:59,816 - pyskl - INFO - Epoch [16][200/1027] lr: 2.437e-02, eta: 15:19:11, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3956, top5_acc: 0.7356, loss_cls: 6.3718, loss: 6.3718 |
| 2025-06-01 10:40:38,005 - pyskl - INFO - Epoch [16][300/1027] lr: 2.436e-02, eta: 15:18:17, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4019, top5_acc: 0.7294, loss_cls: 6.4193, loss: 6.4193 |
| 2025-06-01 10:41:16,460 - pyskl - INFO - Epoch [16][400/1027] lr: 2.436e-02, eta: 15:17:25, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.3881, top5_acc: 0.7137, loss_cls: 6.5695, loss: 6.5695 |
| 2025-06-01 10:41:54,597 - pyskl - INFO - Epoch [16][500/1027] lr: 2.435e-02, eta: 15:16:30, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4069, top5_acc: 0.7150, loss_cls: 6.6275, loss: 6.6275 |
| 2025-06-01 10:42:32,408 - pyskl - INFO - Epoch [16][600/1027] lr: 2.434e-02, eta: 15:15:33, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4256, top5_acc: 0.7269, loss_cls: 6.4596, loss: 6.4596 |
| 2025-06-01 10:43:09,881 - pyskl - INFO - Epoch [16][700/1027] lr: 2.433e-02, eta: 15:14:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3831, top5_acc: 0.7163, loss_cls: 6.6041, loss: 6.6041 |
| 2025-06-01 10:43:47,466 - pyskl - INFO - Epoch [16][800/1027] lr: 2.432e-02, eta: 15:13:35, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4019, top5_acc: 0.7269, loss_cls: 6.3618, loss: 6.3618 |
| 2025-06-01 10:44:25,728 - pyskl - INFO - Epoch [16][900/1027] lr: 2.432e-02, eta: 15:12:43, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3869, top5_acc: 0.7156, loss_cls: 6.5306, loss: 6.5306 |
| 2025-06-01 10:45:04,125 - pyskl - INFO - Epoch [16][1000/1027] lr: 2.431e-02, eta: 15:11:52, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3900, top5_acc: 0.7181, loss_cls: 6.4776, loss: 6.4776 |
| 2025-06-01 10:45:15,207 - pyskl - INFO - Saving checkpoint at 16 epochs |
| 2025-06-01 10:45:52,617 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 10:45:52,690 - pyskl - INFO - |
| top1_acc 0.4581 |
| top5_acc 0.8159 |
| 2025-06-01 10:45:52,690 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 10:45:52,698 - pyskl - INFO - |
| mean_acc 0.4507 |
| 2025-06-01 10:45:52,699 - pyskl - INFO - Epoch(val) [16][413] top1_acc: 0.4581, top5_acc: 0.8159, mean_class_accuracy: 0.4507 |
| 2025-06-01 10:46:56,162 - pyskl - INFO - Epoch [17][100/1027] lr: 2.430e-02, eta: 15:12:49, time: 0.635, data_time: 0.254, memory: 7959, top1_acc: 0.4138, top5_acc: 0.7425, loss_cls: 6.2939, loss: 6.2939 |
| 2025-06-01 10:47:34,272 - pyskl - INFO - Epoch [17][200/1027] lr: 2.429e-02, eta: 15:11:55, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3956, top5_acc: 0.7262, loss_cls: 6.3677, loss: 6.3677 |
| 2025-06-01 10:48:12,325 - pyskl - INFO - Epoch [17][300/1027] lr: 2.428e-02, eta: 15:11:01, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4169, top5_acc: 0.7531, loss_cls: 6.3206, loss: 6.3206 |
| 2025-06-01 10:48:50,389 - pyskl - INFO - Epoch [17][400/1027] lr: 2.427e-02, eta: 15:10:07, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4056, top5_acc: 0.7244, loss_cls: 6.4283, loss: 6.4283 |
| 2025-06-01 10:49:28,600 - pyskl - INFO - Epoch [17][500/1027] lr: 2.426e-02, eta: 15:09:14, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4000, top5_acc: 0.7212, loss_cls: 6.4233, loss: 6.4233 |
| 2025-06-01 10:50:06,618 - pyskl - INFO - Epoch [17][600/1027] lr: 2.425e-02, eta: 15:08:20, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3981, top5_acc: 0.7269, loss_cls: 6.3967, loss: 6.3967 |
| 2025-06-01 10:50:44,628 - pyskl - INFO - Epoch [17][700/1027] lr: 2.424e-02, eta: 15:07:26, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4081, top5_acc: 0.7419, loss_cls: 6.4270, loss: 6.4270 |
| 2025-06-01 10:51:22,627 - pyskl - INFO - Epoch [17][800/1027] lr: 2.424e-02, eta: 15:06:32, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4044, top5_acc: 0.7306, loss_cls: 6.3684, loss: 6.3684 |
| 2025-06-01 10:52:00,520 - pyskl - INFO - Epoch [17][900/1027] lr: 2.423e-02, eta: 15:05:38, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3994, top5_acc: 0.7081, loss_cls: 6.4239, loss: 6.4239 |
| 2025-06-01 10:52:38,833 - pyskl - INFO - Epoch [17][1000/1027] lr: 2.422e-02, eta: 15:04:47, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3912, top5_acc: 0.7106, loss_cls: 6.5551, loss: 6.5551 |
| 2025-06-01 10:52:49,873 - pyskl - INFO - Saving checkpoint at 17 epochs |
| 2025-06-01 10:53:27,020 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 10:53:27,092 - pyskl - INFO - |
| top1_acc 0.4684 |
| top5_acc 0.8324 |
| 2025-06-01 10:53:27,092 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 10:53:27,099 - pyskl - INFO - |
| mean_acc 0.4655 |
| 2025-06-01 10:53:27,101 - pyskl - INFO - Epoch(val) [17][413] top1_acc: 0.4684, top5_acc: 0.8324, mean_class_accuracy: 0.4655 |
| 2025-06-01 10:54:30,158 - pyskl - INFO - Epoch [18][100/1027] lr: 2.421e-02, eta: 15:05:34, time: 0.631, data_time: 0.250, memory: 7959, top1_acc: 0.4088, top5_acc: 0.7306, loss_cls: 6.2872, loss: 6.2872 |
| 2025-06-01 10:55:08,222 - pyskl - INFO - Epoch [18][200/1027] lr: 2.420e-02, eta: 15:04:41, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4069, top5_acc: 0.7325, loss_cls: 6.4048, loss: 6.4048 |
| 2025-06-01 10:55:46,347 - pyskl - INFO - Epoch [18][300/1027] lr: 2.419e-02, eta: 15:03:48, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4100, top5_acc: 0.7431, loss_cls: 6.2985, loss: 6.2985 |
| 2025-06-01 10:56:24,603 - pyskl - INFO - Epoch [18][400/1027] lr: 2.418e-02, eta: 15:02:57, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4125, top5_acc: 0.7406, loss_cls: 6.3830, loss: 6.3830 |
| 2025-06-01 10:57:02,812 - pyskl - INFO - Epoch [18][500/1027] lr: 2.417e-02, eta: 15:02:05, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4200, top5_acc: 0.7331, loss_cls: 6.2730, loss: 6.2730 |
| 2025-06-01 10:57:40,838 - pyskl - INFO - Epoch [18][600/1027] lr: 2.416e-02, eta: 15:01:12, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7288, loss_cls: 6.3367, loss: 6.3367 |
| 2025-06-01 10:58:18,937 - pyskl - INFO - Epoch [18][700/1027] lr: 2.415e-02, eta: 15:00:20, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4031, top5_acc: 0.7344, loss_cls: 6.3155, loss: 6.3155 |
| 2025-06-01 10:58:56,919 - pyskl - INFO - Epoch [18][800/1027] lr: 2.414e-02, eta: 14:59:27, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4338, top5_acc: 0.7581, loss_cls: 6.2376, loss: 6.2376 |
| 2025-06-01 10:59:35,181 - pyskl - INFO - Epoch [18][900/1027] lr: 2.413e-02, eta: 14:58:36, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4338, top5_acc: 0.7394, loss_cls: 6.2986, loss: 6.2986 |
| 2025-06-01 11:00:13,762 - pyskl - INFO - Epoch [18][1000/1027] lr: 2.412e-02, eta: 14:57:48, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.3894, top5_acc: 0.7100, loss_cls: 6.4624, loss: 6.4624 |
| 2025-06-01 11:00:24,983 - pyskl - INFO - Saving checkpoint at 18 epochs |
| 2025-06-01 11:01:02,989 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 11:01:03,075 - pyskl - INFO - |
| top1_acc 0.4936 |
| top5_acc 0.8397 |
| 2025-06-01 11:01:03,075 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 11:01:03,085 - pyskl - INFO - |
| mean_acc 0.4864 |
| 2025-06-01 11:01:03,155 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_14.pth was removed |
| 2025-06-01 11:01:04,802 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. |
| 2025-06-01 11:01:04,804 - pyskl - INFO - Best top1_acc is 0.4936 at 18 epoch. |
| 2025-06-01 11:01:04,810 - pyskl - INFO - Epoch(val) [18][413] top1_acc: 0.4936, top5_acc: 0.8397, mean_class_accuracy: 0.4864 |
| 2025-06-01 11:02:09,569 - pyskl - INFO - Epoch [19][100/1027] lr: 2.411e-02, eta: 14:58:42, time: 0.648, data_time: 0.266, memory: 7959, top1_acc: 0.4500, top5_acc: 0.7619, loss_cls: 6.1490, loss: 6.1490 |
| 2025-06-01 11:02:47,828 - pyskl - INFO - Epoch [19][200/1027] lr: 2.410e-02, eta: 14:57:51, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4306, top5_acc: 0.7619, loss_cls: 6.2538, loss: 6.2538 |
| 2025-06-01 11:03:25,985 - pyskl - INFO - Epoch [19][300/1027] lr: 2.409e-02, eta: 14:56:59, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4069, top5_acc: 0.7194, loss_cls: 6.3065, loss: 6.3065 |
| 2025-06-01 11:04:04,102 - pyskl - INFO - Epoch [19][400/1027] lr: 2.408e-02, eta: 14:56:08, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4125, top5_acc: 0.7500, loss_cls: 6.3576, loss: 6.3576 |
| 2025-06-01 11:04:42,371 - pyskl - INFO - Epoch [19][500/1027] lr: 2.407e-02, eta: 14:55:17, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4250, top5_acc: 0.7400, loss_cls: 6.3341, loss: 6.3341 |
| 2025-06-01 11:05:20,538 - pyskl - INFO - Epoch [19][600/1027] lr: 2.407e-02, eta: 14:54:26, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4213, top5_acc: 0.7381, loss_cls: 6.2684, loss: 6.2684 |
| 2025-06-01 11:05:58,574 - pyskl - INFO - Epoch [19][700/1027] lr: 2.406e-02, eta: 14:53:34, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4281, top5_acc: 0.7338, loss_cls: 6.2629, loss: 6.2629 |
| 2025-06-01 11:06:36,548 - pyskl - INFO - Epoch [19][800/1027] lr: 2.405e-02, eta: 14:52:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4050, top5_acc: 0.7381, loss_cls: 6.2292, loss: 6.2292 |
| 2025-06-01 11:07:14,898 - pyskl - INFO - Epoch [19][900/1027] lr: 2.404e-02, eta: 14:51:52, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4056, top5_acc: 0.7356, loss_cls: 6.4155, loss: 6.4155 |
| 2025-06-01 11:07:53,426 - pyskl - INFO - Epoch [19][1000/1027] lr: 2.403e-02, eta: 14:51:04, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.3937, top5_acc: 0.7188, loss_cls: 6.4539, loss: 6.4539 |
| 2025-06-01 11:08:04,815 - pyskl - INFO - Saving checkpoint at 19 epochs |
| 2025-06-01 11:08:42,493 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 11:08:42,569 - pyskl - INFO - |
| top1_acc 0.4966 |
| top5_acc 0.8456 |
| 2025-06-01 11:08:42,570 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 11:08:42,578 - pyskl - INFO - |
| mean_acc 0.4896 |
| 2025-06-01 11:08:42,640 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_18.pth was removed |
| 2025-06-01 11:08:44,243 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. |
| 2025-06-01 11:08:44,245 - pyskl - INFO - Best top1_acc is 0.4966 at 19 epoch. |
| 2025-06-01 11:08:44,248 - pyskl - INFO - Epoch(val) [19][413] top1_acc: 0.4966, top5_acc: 0.8456, mean_class_accuracy: 0.4896 |
| 2025-06-01 11:09:48,333 - pyskl - INFO - Epoch [20][100/1027] lr: 2.401e-02, eta: 14:51:47, time: 0.641, data_time: 0.259, memory: 7959, top1_acc: 0.4269, top5_acc: 0.7556, loss_cls: 6.2906, loss: 6.2906 |
| 2025-06-01 11:10:26,450 - pyskl - INFO - Epoch [20][200/1027] lr: 2.400e-02, eta: 14:50:56, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4250, top5_acc: 0.7406, loss_cls: 6.3032, loss: 6.3032 |
| 2025-06-01 11:11:04,761 - pyskl - INFO - Epoch [20][300/1027] lr: 2.399e-02, eta: 14:50:06, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4238, top5_acc: 0.7488, loss_cls: 6.2942, loss: 6.2942 |
| 2025-06-01 11:11:42,728 - pyskl - INFO - Epoch [20][400/1027] lr: 2.398e-02, eta: 14:49:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4256, top5_acc: 0.7569, loss_cls: 6.2373, loss: 6.2373 |
| 2025-06-01 11:12:20,775 - pyskl - INFO - Epoch [20][500/1027] lr: 2.397e-02, eta: 14:48:23, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4238, top5_acc: 0.7538, loss_cls: 6.2185, loss: 6.2185 |
| 2025-06-01 11:12:58,658 - pyskl - INFO - Epoch [20][600/1027] lr: 2.396e-02, eta: 14:47:30, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4344, top5_acc: 0.7531, loss_cls: 6.2102, loss: 6.2102 |
| 2025-06-01 11:13:36,733 - pyskl - INFO - Epoch [20][700/1027] lr: 2.395e-02, eta: 14:46:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4175, top5_acc: 0.7212, loss_cls: 6.3067, loss: 6.3067 |
| 2025-06-01 11:14:14,768 - pyskl - INFO - Epoch [20][800/1027] lr: 2.394e-02, eta: 14:45:48, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4206, top5_acc: 0.7438, loss_cls: 6.2099, loss: 6.2099 |
| 2025-06-01 11:14:52,805 - pyskl - INFO - Epoch [20][900/1027] lr: 2.393e-02, eta: 14:44:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4188, top5_acc: 0.7462, loss_cls: 6.2452, loss: 6.2452 |
| 2025-06-01 11:15:30,811 - pyskl - INFO - Epoch [20][1000/1027] lr: 2.392e-02, eta: 14:44:06, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4225, top5_acc: 0.7500, loss_cls: 6.2627, loss: 6.2627 |
| 2025-06-01 11:15:41,816 - pyskl - INFO - Saving checkpoint at 20 epochs |
| 2025-06-01 11:34:52,493 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 11:34:52,567 - pyskl - INFO - |
| top1_acc 0.5096 |
| top5_acc 0.8507 |
| 2025-06-01 11:34:52,567 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 11:34:52,575 - pyskl - INFO - |
| mean_acc 0.5037 |
| 2025-06-01 11:34:52,636 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_19.pth was removed |
| 2025-06-01 11:34:54,212 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. |
| 2025-06-01 11:34:54,214 - pyskl - INFO - Best top1_acc is 0.5096 at 20 epoch. |
| 2025-06-01 11:34:54,217 - pyskl - INFO - Epoch(val) [20][413] top1_acc: 0.5096, top5_acc: 0.8507, mean_class_accuracy: 0.5037 |
| 2025-06-01 11:35:58,575 - pyskl - INFO - Epoch [21][100/1027] lr: 2.391e-02, eta: 14:44:46, time: 0.644, data_time: 0.257, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7525, loss_cls: 6.1921, loss: 6.1921 |
| 2025-06-01 11:36:36,852 - pyskl - INFO - Epoch [21][200/1027] lr: 2.390e-02, eta: 14:43:56, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7581, loss_cls: 6.1117, loss: 6.1117 |
| 2025-06-01 11:37:15,181 - pyskl - INFO - Epoch [21][300/1027] lr: 2.389e-02, eta: 14:43:07, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4256, top5_acc: 0.7494, loss_cls: 6.2663, loss: 6.2663 |
| 2025-06-01 11:37:53,333 - pyskl - INFO - Epoch [21][400/1027] lr: 2.388e-02, eta: 14:42:17, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4131, top5_acc: 0.7356, loss_cls: 6.3701, loss: 6.3701 |
| 2025-06-01 11:38:31,444 - pyskl - INFO - Epoch [21][500/1027] lr: 2.387e-02, eta: 14:41:27, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4194, top5_acc: 0.7419, loss_cls: 6.3045, loss: 6.3045 |
| 2025-06-01 11:39:09,652 - pyskl - INFO - Epoch [21][600/1027] lr: 2.386e-02, eta: 14:40:37, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4363, top5_acc: 0.7581, loss_cls: 6.1741, loss: 6.1741 |
| 2025-06-01 11:39:47,986 - pyskl - INFO - Epoch [21][700/1027] lr: 2.385e-02, eta: 14:39:49, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4231, top5_acc: 0.7619, loss_cls: 6.2051, loss: 6.2051 |
| 2025-06-01 11:40:25,966 - pyskl - INFO - Epoch [21][800/1027] lr: 2.383e-02, eta: 14:38:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4419, top5_acc: 0.7500, loss_cls: 6.1313, loss: 6.1313 |
| 2025-06-01 11:41:04,499 - pyskl - INFO - Epoch [21][900/1027] lr: 2.382e-02, eta: 14:38:11, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4106, top5_acc: 0.7300, loss_cls: 6.3097, loss: 6.3097 |
| 2025-06-01 11:41:42,679 - pyskl - INFO - Epoch [21][1000/1027] lr: 2.381e-02, eta: 14:37:21, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4425, top5_acc: 0.7519, loss_cls: 6.2540, loss: 6.2540 |
| 2025-06-01 11:41:53,749 - pyskl - INFO - Saving checkpoint at 21 epochs |
| 2025-06-01 11:42:31,072 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 11:42:31,144 - pyskl - INFO - |
| top1_acc 0.4822 |
| top5_acc 0.8154 |
| 2025-06-01 11:42:31,145 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 11:42:31,153 - pyskl - INFO - |
| mean_acc 0.4744 |
| 2025-06-01 11:42:31,155 - pyskl - INFO - Epoch(val) [21][413] top1_acc: 0.4822, top5_acc: 0.8154, mean_class_accuracy: 0.4744 |
| 2025-06-01 11:43:34,938 - pyskl - INFO - Epoch [22][100/1027] lr: 2.380e-02, eta: 14:37:52, time: 0.638, data_time: 0.254, memory: 7959, top1_acc: 0.4625, top5_acc: 0.7681, loss_cls: 5.9917, loss: 5.9917 |
| 2025-06-01 11:44:12,965 - pyskl - INFO - Epoch [22][200/1027] lr: 2.379e-02, eta: 14:37:02, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4512, top5_acc: 0.7600, loss_cls: 6.1768, loss: 6.1768 |
| 2025-06-01 11:44:51,036 - pyskl - INFO - Epoch [22][300/1027] lr: 2.378e-02, eta: 14:36:12, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4394, top5_acc: 0.7569, loss_cls: 6.1190, loss: 6.1190 |
| 2025-06-01 11:45:29,293 - pyskl - INFO - Epoch [22][400/1027] lr: 2.377e-02, eta: 14:35:23, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4487, top5_acc: 0.7500, loss_cls: 6.2251, loss: 6.2251 |
| 2025-06-01 11:46:07,190 - pyskl - INFO - Epoch [22][500/1027] lr: 2.376e-02, eta: 14:34:32, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4406, top5_acc: 0.7512, loss_cls: 6.2538, loss: 6.2538 |
| 2025-06-01 11:46:45,420 - pyskl - INFO - Epoch [22][600/1027] lr: 2.374e-02, eta: 14:33:43, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4506, top5_acc: 0.7406, loss_cls: 6.2177, loss: 6.2177 |
| 2025-06-01 11:47:23,745 - pyskl - INFO - Epoch [22][700/1027] lr: 2.373e-02, eta: 14:32:55, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4387, top5_acc: 0.7562, loss_cls: 6.1116, loss: 6.1116 |
| 2025-06-01 11:48:01,742 - pyskl - INFO - Epoch [22][800/1027] lr: 2.372e-02, eta: 14:32:05, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4194, top5_acc: 0.7288, loss_cls: 6.4125, loss: 6.4125 |
| 2025-06-01 11:48:39,687 - pyskl - INFO - Epoch [22][900/1027] lr: 2.371e-02, eta: 14:31:15, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4487, top5_acc: 0.7500, loss_cls: 6.1511, loss: 6.1511 |
| 2025-06-01 11:49:17,651 - pyskl - INFO - Epoch [22][1000/1027] lr: 2.370e-02, eta: 14:30:25, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4369, top5_acc: 0.7450, loss_cls: 6.1739, loss: 6.1739 |
| 2025-06-01 11:49:28,668 - pyskl - INFO - Saving checkpoint at 22 epochs |
| 2025-06-01 11:50:06,358 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 11:50:06,430 - pyskl - INFO - |
| top1_acc 0.5204 |
| top5_acc 0.8538 |
| 2025-06-01 11:50:06,430 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 11:50:06,437 - pyskl - INFO - |
| mean_acc 0.5136 |
| 2025-06-01 11:50:06,498 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_20.pth was removed |
| 2025-06-01 11:50:08,070 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. |
| 2025-06-01 11:50:08,071 - pyskl - INFO - Best top1_acc is 0.5204 at 22 epoch. |
| 2025-06-01 11:50:08,076 - pyskl - INFO - Epoch(val) [22][413] top1_acc: 0.5204, top5_acc: 0.8538, mean_class_accuracy: 0.5136 |
| 2025-06-01 11:51:12,068 - pyskl - INFO - Epoch [23][100/1027] lr: 2.369e-02, eta: 14:30:53, time: 0.640, data_time: 0.257, memory: 7959, top1_acc: 0.4700, top5_acc: 0.7719, loss_cls: 5.9891, loss: 5.9891 |
| 2025-06-01 11:51:50,065 - pyskl - INFO - Epoch [23][200/1027] lr: 2.367e-02, eta: 14:30:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4481, top5_acc: 0.7625, loss_cls: 6.1719, loss: 6.1719 |
| 2025-06-01 11:52:28,269 - pyskl - INFO - Epoch [23][300/1027] lr: 2.366e-02, eta: 14:29:14, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4656, top5_acc: 0.7719, loss_cls: 6.0542, loss: 6.0542 |
| 2025-06-01 11:53:06,284 - pyskl - INFO - Epoch [23][400/1027] lr: 2.365e-02, eta: 14:28:24, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4475, top5_acc: 0.7688, loss_cls: 6.1170, loss: 6.1170 |
| 2025-06-01 11:53:44,341 - pyskl - INFO - Epoch [23][500/1027] lr: 2.364e-02, eta: 14:27:35, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4625, top5_acc: 0.7500, loss_cls: 6.1755, loss: 6.1755 |
| 2025-06-01 11:54:22,525 - pyskl - INFO - Epoch [23][600/1027] lr: 2.363e-02, eta: 14:26:46, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4537, top5_acc: 0.7588, loss_cls: 6.1298, loss: 6.1298 |
| 2025-06-01 11:55:00,825 - pyskl - INFO - Epoch [23][700/1027] lr: 2.362e-02, eta: 14:25:58, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4481, top5_acc: 0.7550, loss_cls: 6.1580, loss: 6.1580 |
| 2025-06-01 11:55:38,870 - pyskl - INFO - Epoch [23][800/1027] lr: 2.360e-02, eta: 14:25:09, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4431, top5_acc: 0.7456, loss_cls: 6.2227, loss: 6.2227 |
| 2025-06-01 11:56:16,872 - pyskl - INFO - Epoch [23][900/1027] lr: 2.359e-02, eta: 14:24:20, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4306, top5_acc: 0.7394, loss_cls: 6.1356, loss: 6.1356 |
| 2025-06-01 11:56:54,826 - pyskl - INFO - Epoch [23][1000/1027] lr: 2.358e-02, eta: 14:23:30, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4725, top5_acc: 0.7688, loss_cls: 6.0880, loss: 6.0880 |
| 2025-06-01 11:57:06,038 - pyskl - INFO - Saving checkpoint at 23 epochs |
| 2025-06-01 11:57:43,239 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 11:57:43,308 - pyskl - INFO - |
| top1_acc 0.5242 |
| top5_acc 0.8515 |
| 2025-06-01 11:57:43,308 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 11:57:43,315 - pyskl - INFO - |
| mean_acc 0.5184 |
| 2025-06-01 11:57:43,373 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_22.pth was removed |
| 2025-06-01 11:57:44,901 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. |
| 2025-06-01 11:57:44,902 - pyskl - INFO - Best top1_acc is 0.5242 at 23 epoch. |
| 2025-06-01 11:57:44,905 - pyskl - INFO - Epoch(val) [23][413] top1_acc: 0.5242, top5_acc: 0.8515, mean_class_accuracy: 0.5184 |
| 2025-06-01 11:58:48,518 - pyskl - INFO - Epoch [24][100/1027] lr: 2.357e-02, eta: 14:23:52, time: 0.636, data_time: 0.254, memory: 7959, top1_acc: 0.4662, top5_acc: 0.7731, loss_cls: 5.9688, loss: 5.9688 |
| 2025-06-01 11:59:26,612 - pyskl - INFO - Epoch [24][200/1027] lr: 2.355e-02, eta: 14:23:03, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4512, top5_acc: 0.7662, loss_cls: 6.0801, loss: 6.0801 |
| 2025-06-01 12:00:04,565 - pyskl - INFO - Epoch [24][300/1027] lr: 2.354e-02, eta: 14:22:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4263, top5_acc: 0.7481, loss_cls: 6.1365, loss: 6.1365 |
| 2025-06-01 12:00:42,609 - pyskl - INFO - Epoch [24][400/1027] lr: 2.353e-02, eta: 14:21:24, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4475, top5_acc: 0.7644, loss_cls: 6.1472, loss: 6.1472 |
| 2025-06-01 12:01:20,658 - pyskl - INFO - Epoch [24][500/1027] lr: 2.352e-02, eta: 14:20:36, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4644, top5_acc: 0.7475, loss_cls: 6.1381, loss: 6.1381 |
| 2025-06-01 12:01:59,145 - pyskl - INFO - Epoch [24][600/1027] lr: 2.351e-02, eta: 14:19:49, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4656, top5_acc: 0.7669, loss_cls: 6.0377, loss: 6.0377 |
| 2025-06-01 12:02:37,385 - pyskl - INFO - Epoch [24][700/1027] lr: 2.349e-02, eta: 14:19:01, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4444, top5_acc: 0.7588, loss_cls: 6.1479, loss: 6.1479 |
| 2025-06-01 12:03:15,489 - pyskl - INFO - Epoch [24][800/1027] lr: 2.348e-02, eta: 14:18:13, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4394, top5_acc: 0.7456, loss_cls: 6.1148, loss: 6.1148 |
| 2025-06-01 12:03:53,851 - pyskl - INFO - Epoch [24][900/1027] lr: 2.347e-02, eta: 14:17:26, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4688, top5_acc: 0.7506, loss_cls: 6.0222, loss: 6.0222 |
| 2025-06-01 12:04:32,157 - pyskl - INFO - Epoch [24][1000/1027] lr: 2.346e-02, eta: 14:16:39, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4500, top5_acc: 0.7550, loss_cls: 6.1985, loss: 6.1985 |
| 2025-06-01 12:04:43,464 - pyskl - INFO - Saving checkpoint at 24 epochs |
| 2025-06-01 12:05:21,143 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 12:05:21,215 - pyskl - INFO - |
| top1_acc 0.5398 |
| top5_acc 0.8563 |
| 2025-06-01 12:05:21,215 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 12:05:21,223 - pyskl - INFO - |
| mean_acc 0.5351 |
| 2025-06-01 12:05:21,283 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_23.pth was removed |
| 2025-06-01 12:05:22,906 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. |
| 2025-06-01 12:05:22,907 - pyskl - INFO - Best top1_acc is 0.5398 at 24 epoch. |
| 2025-06-01 12:05:22,910 - pyskl - INFO - Epoch(val) [24][413] top1_acc: 0.5398, top5_acc: 0.8563, mean_class_accuracy: 0.5351 |
| 2025-06-01 12:06:27,314 - pyskl - INFO - Epoch [25][100/1027] lr: 2.344e-02, eta: 14:17:01, time: 0.644, data_time: 0.260, memory: 7959, top1_acc: 0.4731, top5_acc: 0.7794, loss_cls: 5.9380, loss: 5.9380 |
| 2025-06-01 12:07:04,844 - pyskl - INFO - Epoch [25][200/1027] lr: 2.343e-02, eta: 14:16:10, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4656, top5_acc: 0.7781, loss_cls: 6.0137, loss: 6.0137 |
| 2025-06-01 12:07:42,933 - pyskl - INFO - Epoch [25][300/1027] lr: 2.342e-02, eta: 14:15:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4512, top5_acc: 0.7594, loss_cls: 6.1589, loss: 6.1589 |
| 2025-06-01 12:08:21,173 - pyskl - INFO - Epoch [25][400/1027] lr: 2.340e-02, eta: 14:14:34, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4637, top5_acc: 0.7675, loss_cls: 6.0660, loss: 6.0660 |
| 2025-06-01 12:08:59,025 - pyskl - INFO - Epoch [25][500/1027] lr: 2.339e-02, eta: 14:13:45, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4813, top5_acc: 0.7900, loss_cls: 5.8960, loss: 5.8960 |
| 2025-06-01 12:09:36,939 - pyskl - INFO - Epoch [25][600/1027] lr: 2.338e-02, eta: 14:12:56, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4481, top5_acc: 0.7669, loss_cls: 6.0179, loss: 6.0179 |
| 2025-06-01 12:10:14,607 - pyskl - INFO - Epoch [25][700/1027] lr: 2.337e-02, eta: 14:12:05, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4481, top5_acc: 0.7550, loss_cls: 6.0977, loss: 6.0977 |
| 2025-06-01 12:10:52,395 - pyskl - INFO - Epoch [25][800/1027] lr: 2.335e-02, eta: 14:11:16, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4656, top5_acc: 0.7688, loss_cls: 6.1018, loss: 6.1018 |
| 2025-06-01 12:11:30,273 - pyskl - INFO - Epoch [25][900/1027] lr: 2.334e-02, eta: 14:10:27, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4806, top5_acc: 0.7588, loss_cls: 6.0626, loss: 6.0626 |
| 2025-06-01 12:12:08,201 - pyskl - INFO - Epoch [25][1000/1027] lr: 2.333e-02, eta: 14:09:38, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4238, top5_acc: 0.7362, loss_cls: 6.2992, loss: 6.2992 |
| 2025-06-01 12:12:19,634 - pyskl - INFO - Saving checkpoint at 25 epochs |
| 2025-06-01 12:33:32,224 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 12:33:32,302 - pyskl - INFO - |
| top1_acc 0.5504 |
| top5_acc 0.8641 |
| 2025-06-01 12:33:32,302 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 12:33:32,312 - pyskl - INFO - |
| mean_acc 0.5450 |
| 2025-06-01 12:33:32,374 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_24.pth was removed |
| 2025-06-01 12:33:34,145 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. |
| 2025-06-01 12:33:34,147 - pyskl - INFO - Best top1_acc is 0.5504 at 25 epoch. |
| 2025-06-01 12:33:34,153 - pyskl - INFO - Epoch(val) [25][413] top1_acc: 0.5504, top5_acc: 0.8641, mean_class_accuracy: 0.5450 |
| 2025-06-01 12:34:40,846 - pyskl - INFO - Epoch [26][100/1027] lr: 2.331e-02, eta: 14:10:09, time: 0.667, data_time: 0.272, memory: 7959, top1_acc: 0.4544, top5_acc: 0.7719, loss_cls: 5.9682, loss: 5.9682 |
| 2025-06-01 12:35:20,091 - pyskl - INFO - Epoch [26][200/1027] lr: 2.330e-02, eta: 14:09:26, time: 0.392, data_time: 0.000, memory: 7959, top1_acc: 0.4819, top5_acc: 0.7950, loss_cls: 5.9254, loss: 5.9254 |
| 2025-06-01 12:35:58,412 - pyskl - INFO - Epoch [26][300/1027] lr: 2.329e-02, eta: 14:08:40, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4731, top5_acc: 0.7569, loss_cls: 6.0832, loss: 6.0832 |
| 2025-06-01 12:36:36,335 - pyskl - INFO - Epoch [26][400/1027] lr: 2.327e-02, eta: 14:07:51, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4631, top5_acc: 0.7575, loss_cls: 6.0616, loss: 6.0616 |
| 2025-06-01 12:37:14,619 - pyskl - INFO - Epoch [26][500/1027] lr: 2.326e-02, eta: 14:07:04, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4669, top5_acc: 0.7819, loss_cls: 5.9418, loss: 5.9418 |
| 2025-06-01 12:37:53,113 - pyskl - INFO - Epoch [26][600/1027] lr: 2.325e-02, eta: 14:06:18, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4713, top5_acc: 0.7744, loss_cls: 5.9504, loss: 5.9504 |
| 2025-06-01 12:38:32,067 - pyskl - INFO - Epoch [26][700/1027] lr: 2.324e-02, eta: 14:05:34, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.4544, top5_acc: 0.7644, loss_cls: 6.0825, loss: 6.0825 |
| 2025-06-01 12:39:10,648 - pyskl - INFO - Epoch [26][800/1027] lr: 2.322e-02, eta: 14:04:49, time: 0.386, data_time: 0.001, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7575, loss_cls: 6.1955, loss: 6.1955 |
| 2025-06-01 12:39:49,006 - pyskl - INFO - Epoch [26][900/1027] lr: 2.321e-02, eta: 14:04:03, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4606, top5_acc: 0.7669, loss_cls: 6.0287, loss: 6.0287 |
| 2025-06-01 12:40:27,231 - pyskl - INFO - Epoch [26][1000/1027] lr: 2.320e-02, eta: 14:03:16, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4450, top5_acc: 0.7550, loss_cls: 6.1591, loss: 6.1591 |
| 2025-06-01 12:40:38,303 - pyskl - INFO - Saving checkpoint at 26 epochs |
| 2025-06-01 12:41:15,158 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 12:41:15,245 - pyskl - INFO - |
| top1_acc 0.5542 |
| top5_acc 0.8635 |
| 2025-06-01 12:41:15,246 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 12:41:15,254 - pyskl - INFO - |
| mean_acc 0.5474 |
| 2025-06-01 12:41:15,306 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_25.pth was removed |
| 2025-06-01 12:41:16,921 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. |
| 2025-06-01 12:41:16,922 - pyskl - INFO - Best top1_acc is 0.5542 at 26 epoch. |
| 2025-06-01 12:41:16,925 - pyskl - INFO - Epoch(val) [26][413] top1_acc: 0.5542, top5_acc: 0.8635, mean_class_accuracy: 0.5474 |
| 2025-06-01 12:42:20,896 - pyskl - INFO - Epoch [27][100/1027] lr: 2.318e-02, eta: 14:03:30, time: 0.640, data_time: 0.255, memory: 7959, top1_acc: 0.4838, top5_acc: 0.7794, loss_cls: 5.8954, loss: 5.8954 |
| 2025-06-01 12:43:00,666 - pyskl - INFO - Epoch [27][200/1027] lr: 2.317e-02, eta: 14:02:50, time: 0.398, data_time: 0.000, memory: 7959, top1_acc: 0.4612, top5_acc: 0.7800, loss_cls: 5.9905, loss: 5.9905 |
| 2025-06-01 12:43:38,833 - pyskl - INFO - Epoch [27][300/1027] lr: 2.315e-02, eta: 14:02:03, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4806, top5_acc: 0.7819, loss_cls: 5.9519, loss: 5.9519 |
| 2025-06-01 12:44:17,019 - pyskl - INFO - Epoch [27][400/1027] lr: 2.314e-02, eta: 14:01:15, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4637, top5_acc: 0.7706, loss_cls: 6.0555, loss: 6.0555 |
| 2025-06-01 12:44:55,275 - pyskl - INFO - Epoch [27][500/1027] lr: 2.313e-02, eta: 14:00:29, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4531, top5_acc: 0.7681, loss_cls: 5.9836, loss: 5.9836 |
| 2025-06-01 12:45:33,569 - pyskl - INFO - Epoch [27][600/1027] lr: 2.311e-02, eta: 13:59:42, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4644, top5_acc: 0.7694, loss_cls: 6.0871, loss: 6.0871 |
| 2025-06-01 12:46:11,874 - pyskl - INFO - Epoch [27][700/1027] lr: 2.310e-02, eta: 13:58:56, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4719, top5_acc: 0.7700, loss_cls: 6.0191, loss: 6.0191 |
| 2025-06-01 12:46:50,617 - pyskl - INFO - Epoch [27][800/1027] lr: 2.309e-02, eta: 13:58:11, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.4838, top5_acc: 0.7819, loss_cls: 5.8099, loss: 5.8099 |
| 2025-06-01 12:47:28,862 - pyskl - INFO - Epoch [27][900/1027] lr: 2.307e-02, eta: 13:57:25, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4731, top5_acc: 0.7706, loss_cls: 6.0196, loss: 6.0196 |
| 2025-06-01 12:48:07,096 - pyskl - INFO - Epoch [27][1000/1027] lr: 2.306e-02, eta: 13:56:38, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4575, top5_acc: 0.7519, loss_cls: 6.1296, loss: 6.1296 |
| 2025-06-01 12:48:18,519 - pyskl - INFO - Saving checkpoint at 27 epochs |
| 2025-06-01 12:48:55,928 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 12:48:56,004 - pyskl - INFO - |
| top1_acc 0.5395 |
| top5_acc 0.8492 |
| 2025-06-01 12:48:56,004 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 12:48:56,013 - pyskl - INFO - |
| mean_acc 0.5326 |
| 2025-06-01 12:48:56,015 - pyskl - INFO - Epoch(val) [27][413] top1_acc: 0.5395, top5_acc: 0.8492, mean_class_accuracy: 0.5326 |
| 2025-06-01 12:50:00,163 - pyskl - INFO - Epoch [28][100/1027] lr: 2.304e-02, eta: 13:56:50, time: 0.641, data_time: 0.255, memory: 7959, top1_acc: 0.4844, top5_acc: 0.7894, loss_cls: 5.8067, loss: 5.8067 |
| 2025-06-01 12:50:38,701 - pyskl - INFO - Epoch [28][200/1027] lr: 2.303e-02, eta: 13:56:04, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.8006, loss_cls: 5.8373, loss: 5.8373 |
| 2025-06-01 12:51:16,986 - pyskl - INFO - Epoch [28][300/1027] lr: 2.301e-02, eta: 13:55:18, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4669, top5_acc: 0.7712, loss_cls: 5.9151, loss: 5.9151 |
| 2025-06-01 12:51:55,188 - pyskl - INFO - Epoch [28][400/1027] lr: 2.300e-02, eta: 13:54:31, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4688, top5_acc: 0.7650, loss_cls: 5.9812, loss: 5.9812 |
| 2025-06-01 12:52:34,630 - pyskl - INFO - Epoch [28][500/1027] lr: 2.299e-02, eta: 13:53:50, time: 0.394, data_time: 0.000, memory: 7959, top1_acc: 0.4675, top5_acc: 0.7719, loss_cls: 5.9241, loss: 5.9241 |
| 2025-06-01 12:53:12,929 - pyskl - INFO - Epoch [28][600/1027] lr: 2.297e-02, eta: 13:53:04, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4644, top5_acc: 0.7662, loss_cls: 5.9189, loss: 5.9189 |
| 2025-06-01 12:53:51,021 - pyskl - INFO - Epoch [28][700/1027] lr: 2.296e-02, eta: 13:52:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4675, top5_acc: 0.7631, loss_cls: 5.9571, loss: 5.9571 |
| 2025-06-01 12:54:29,278 - pyskl - INFO - Epoch [28][800/1027] lr: 2.294e-02, eta: 13:51:30, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4600, top5_acc: 0.7550, loss_cls: 6.1130, loss: 6.1130 |
| 2025-06-01 12:55:07,502 - pyskl - INFO - Epoch [28][900/1027] lr: 2.293e-02, eta: 13:50:44, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4775, top5_acc: 0.7856, loss_cls: 5.9411, loss: 5.9411 |
| 2025-06-01 12:55:45,789 - pyskl - INFO - Epoch [28][1000/1027] lr: 2.292e-02, eta: 13:49:58, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4769, top5_acc: 0.7850, loss_cls: 5.9541, loss: 5.9541 |
| 2025-06-01 12:55:56,957 - pyskl - INFO - Saving checkpoint at 28 epochs |
| 2025-06-01 12:56:33,920 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 12:56:33,993 - pyskl - INFO - |
| top1_acc 0.5283 |
| top5_acc 0.8435 |
| 2025-06-01 12:56:33,993 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 12:56:34,005 - pyskl - INFO - |
| mean_acc 0.5212 |
| 2025-06-01 12:56:34,007 - pyskl - INFO - Epoch(val) [28][413] top1_acc: 0.5283, top5_acc: 0.8435, mean_class_accuracy: 0.5212 |
| 2025-06-01 12:57:37,689 - pyskl - INFO - Epoch [29][100/1027] lr: 2.290e-02, eta: 13:50:04, time: 0.637, data_time: 0.253, memory: 7959, top1_acc: 0.4875, top5_acc: 0.7956, loss_cls: 5.8211, loss: 5.8211 |
| 2025-06-01 12:58:16,401 - pyskl - INFO - Epoch [29][200/1027] lr: 2.288e-02, eta: 13:49:20, time: 0.387, data_time: 0.001, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7881, loss_cls: 5.8577, loss: 5.8577 |
| 2025-06-01 12:58:54,609 - pyskl - INFO - Epoch [29][300/1027] lr: 2.287e-02, eta: 13:48:33, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4975, top5_acc: 0.7919, loss_cls: 5.8020, loss: 5.8020 |
| 2025-06-01 12:59:32,967 - pyskl - INFO - Epoch [29][400/1027] lr: 2.285e-02, eta: 13:47:48, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4525, top5_acc: 0.7575, loss_cls: 6.0562, loss: 6.0562 |
| 2025-06-01 13:00:11,686 - pyskl - INFO - Epoch [29][500/1027] lr: 2.284e-02, eta: 13:47:03, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.4675, top5_acc: 0.7688, loss_cls: 6.0187, loss: 6.0187 |
| 2025-06-01 13:00:49,932 - pyskl - INFO - Epoch [29][600/1027] lr: 2.283e-02, eta: 13:46:17, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4881, top5_acc: 0.7825, loss_cls: 5.8900, loss: 5.8900 |
| 2025-06-01 13:01:28,319 - pyskl - INFO - Epoch [29][700/1027] lr: 2.281e-02, eta: 13:45:32, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4875, top5_acc: 0.7875, loss_cls: 5.8165, loss: 5.8165 |
| 2025-06-01 13:02:06,616 - pyskl - INFO - Epoch [29][800/1027] lr: 2.280e-02, eta: 13:44:46, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7675, loss_cls: 6.0009, loss: 6.0009 |
| 2025-06-01 13:02:44,911 - pyskl - INFO - Epoch [29][900/1027] lr: 2.278e-02, eta: 13:44:00, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4594, top5_acc: 0.7675, loss_cls: 5.9814, loss: 5.9814 |
| 2025-06-01 13:03:22,890 - pyskl - INFO - Epoch [29][1000/1027] lr: 2.277e-02, eta: 13:43:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4656, top5_acc: 0.7837, loss_cls: 5.9522, loss: 5.9522 |
| 2025-06-01 13:03:33,890 - pyskl - INFO - Saving checkpoint at 29 epochs |
| 2025-06-01 13:04:10,683 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 13:04:10,755 - pyskl - INFO - |
| top1_acc 0.5217 |
| top5_acc 0.8488 |
| 2025-06-01 13:04:10,755 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 13:04:10,763 - pyskl - INFO - |
| mean_acc 0.5165 |
| 2025-06-01 13:04:10,764 - pyskl - INFO - Epoch(val) [29][413] top1_acc: 0.5217, top5_acc: 0.8488, mean_class_accuracy: 0.5165 |
| 2025-06-01 13:05:14,035 - pyskl - INFO - Epoch [30][100/1027] lr: 2.275e-02, eta: 13:43:15, time: 0.633, data_time: 0.249, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7894, loss_cls: 5.8965, loss: 5.8965 |
| 2025-06-01 13:05:51,973 - pyskl - INFO - Epoch [30][200/1027] lr: 2.274e-02, eta: 13:42:28, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4888, top5_acc: 0.7800, loss_cls: 5.8866, loss: 5.8866 |
| 2025-06-01 13:06:29,925 - pyskl - INFO - Epoch [30][300/1027] lr: 2.272e-02, eta: 13:41:41, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4819, top5_acc: 0.7863, loss_cls: 5.8963, loss: 5.8963 |
| 2025-06-01 13:07:07,949 - pyskl - INFO - Epoch [30][400/1027] lr: 2.271e-02, eta: 13:40:54, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4769, top5_acc: 0.7969, loss_cls: 5.8427, loss: 5.8427 |
| 2025-06-01 13:07:45,762 - pyskl - INFO - Epoch [30][500/1027] lr: 2.269e-02, eta: 13:40:06, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4725, top5_acc: 0.7869, loss_cls: 5.7801, loss: 5.7801 |
| 2025-06-01 13:08:23,533 - pyskl - INFO - Epoch [30][600/1027] lr: 2.268e-02, eta: 13:39:18, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4813, top5_acc: 0.7694, loss_cls: 5.9747, loss: 5.9747 |
| 2025-06-01 13:09:01,367 - pyskl - INFO - Epoch [30][700/1027] lr: 2.266e-02, eta: 13:38:31, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7837, loss_cls: 5.8915, loss: 5.8915 |
| 2025-06-01 13:09:39,141 - pyskl - INFO - Epoch [30][800/1027] lr: 2.265e-02, eta: 13:37:43, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5012, top5_acc: 0.7812, loss_cls: 5.9126, loss: 5.9126 |
| 2025-06-01 13:10:16,507 - pyskl - INFO - Epoch [30][900/1027] lr: 2.263e-02, eta: 13:36:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4694, top5_acc: 0.7738, loss_cls: 5.9297, loss: 5.9297 |
| 2025-06-01 13:10:53,923 - pyskl - INFO - Epoch [30][1000/1027] lr: 2.262e-02, eta: 13:36:05, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7688, loss_cls: 5.8969, loss: 5.8969 |
| 2025-06-01 13:11:05,041 - pyskl - INFO - Saving checkpoint at 30 epochs |
| 2025-06-01 13:30:45,493 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 13:30:45,565 - pyskl - INFO - |
| top1_acc 0.5657 |
| top5_acc 0.8820 |
| 2025-06-01 13:30:45,565 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 13:30:45,572 - pyskl - INFO - |
| mean_acc 0.5580 |
| 2025-06-01 13:30:45,626 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_26.pth was removed |
| 2025-06-01 13:30:47,344 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. |
| 2025-06-01 13:30:47,346 - pyskl - INFO - Best top1_acc is 0.5657 at 30 epoch. |
| 2025-06-01 13:30:47,349 - pyskl - INFO - Epoch(val) [30][413] top1_acc: 0.5657, top5_acc: 0.8820, mean_class_accuracy: 0.5580 |
| 2025-06-01 13:31:49,963 - pyskl - INFO - Epoch [31][100/1027] lr: 2.260e-02, eta: 13:36:03, time: 0.626, data_time: 0.246, memory: 7959, top1_acc: 0.4806, top5_acc: 0.7856, loss_cls: 5.9027, loss: 5.9027 |
| 2025-06-01 13:32:28,144 - pyskl - INFO - Epoch [31][200/1027] lr: 2.258e-02, eta: 13:35:17, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4906, top5_acc: 0.7925, loss_cls: 5.8778, loss: 5.8778 |
| 2025-06-01 13:33:07,752 - pyskl - INFO - Epoch [31][300/1027] lr: 2.257e-02, eta: 13:34:36, time: 0.396, data_time: 0.000, memory: 7959, top1_acc: 0.4825, top5_acc: 0.7825, loss_cls: 5.9026, loss: 5.9026 |
| 2025-06-01 13:33:46,525 - pyskl - INFO - Epoch [31][400/1027] lr: 2.255e-02, eta: 13:33:53, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5069, top5_acc: 0.8137, loss_cls: 5.7989, loss: 5.7989 |
| 2025-06-01 13:34:25,472 - pyskl - INFO - Epoch [31][500/1027] lr: 2.254e-02, eta: 13:33:10, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.4794, top5_acc: 0.7881, loss_cls: 5.8267, loss: 5.8267 |
| 2025-06-01 13:35:03,742 - pyskl - INFO - Epoch [31][600/1027] lr: 2.252e-02, eta: 13:32:24, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4950, top5_acc: 0.7950, loss_cls: 5.8524, loss: 5.8524 |
| 2025-06-01 13:35:43,119 - pyskl - INFO - Epoch [31][700/1027] lr: 2.251e-02, eta: 13:31:43, time: 0.394, data_time: 0.000, memory: 7959, top1_acc: 0.4744, top5_acc: 0.7656, loss_cls: 6.0019, loss: 6.0019 |
| 2025-06-01 13:36:23,210 - pyskl - INFO - Epoch [31][800/1027] lr: 2.249e-02, eta: 13:31:05, time: 0.401, data_time: 0.000, memory: 7959, top1_acc: 0.4769, top5_acc: 0.7781, loss_cls: 5.9040, loss: 5.9040 |
| 2025-06-01 13:37:03,302 - pyskl - INFO - Epoch [31][900/1027] lr: 2.248e-02, eta: 13:30:26, time: 0.401, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.8069, loss_cls: 5.7798, loss: 5.7798 |
| 2025-06-01 13:37:41,615 - pyskl - INFO - Epoch [31][1000/1027] lr: 2.246e-02, eta: 13:29:41, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4756, top5_acc: 0.7806, loss_cls: 5.9029, loss: 5.9029 |
| 2025-06-01 13:37:52,690 - pyskl - INFO - Saving checkpoint at 31 epochs |
| 2025-06-01 13:38:29,895 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 13:38:29,967 - pyskl - INFO - |
| top1_acc 0.5518 |
| top5_acc 0.8669 |
| 2025-06-01 13:38:29,968 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 13:38:29,975 - pyskl - INFO - |
| mean_acc 0.5452 |
| 2025-06-01 13:38:29,977 - pyskl - INFO - Epoch(val) [31][413] top1_acc: 0.5518, top5_acc: 0.8669, mean_class_accuracy: 0.5452 |
| 2025-06-01 13:39:33,399 - pyskl - INFO - Epoch [32][100/1027] lr: 2.244e-02, eta: 13:29:40, time: 0.634, data_time: 0.252, memory: 7959, top1_acc: 0.4981, top5_acc: 0.7750, loss_cls: 5.8396, loss: 5.8396 |
| 2025-06-01 13:40:11,694 - pyskl - INFO - Epoch [32][200/1027] lr: 2.243e-02, eta: 13:28:55, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.8025, loss_cls: 5.8098, loss: 5.8098 |
| 2025-06-01 13:40:50,504 - pyskl - INFO - Epoch [32][300/1027] lr: 2.241e-02, eta: 13:28:11, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.4894, top5_acc: 0.8006, loss_cls: 5.7492, loss: 5.7492 |
| 2025-06-01 13:41:29,245 - pyskl - INFO - Epoch [32][400/1027] lr: 2.239e-02, eta: 13:27:27, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5144, top5_acc: 0.8031, loss_cls: 5.7051, loss: 5.7051 |
| 2025-06-01 13:42:07,655 - pyskl - INFO - Epoch [32][500/1027] lr: 2.238e-02, eta: 13:26:42, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4863, top5_acc: 0.7913, loss_cls: 5.7871, loss: 5.7871 |
| 2025-06-01 13:42:45,848 - pyskl - INFO - Epoch [32][600/1027] lr: 2.236e-02, eta: 13:25:57, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4744, top5_acc: 0.7856, loss_cls: 5.9415, loss: 5.9415 |
| 2025-06-01 13:43:24,090 - pyskl - INFO - Epoch [32][700/1027] lr: 2.235e-02, eta: 13:25:11, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4894, top5_acc: 0.7925, loss_cls: 5.8409, loss: 5.8409 |
| 2025-06-01 13:44:02,092 - pyskl - INFO - Epoch [32][800/1027] lr: 2.233e-02, eta: 13:24:25, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4831, top5_acc: 0.7800, loss_cls: 5.9436, loss: 5.9436 |
| 2025-06-01 13:44:40,257 - pyskl - INFO - Epoch [32][900/1027] lr: 2.232e-02, eta: 13:23:39, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4794, top5_acc: 0.7837, loss_cls: 5.9258, loss: 5.9258 |
| 2025-06-01 13:45:18,658 - pyskl - INFO - Epoch [32][1000/1027] lr: 2.230e-02, eta: 13:22:55, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.7856, loss_cls: 5.8327, loss: 5.8327 |
| 2025-06-01 13:45:29,780 - pyskl - INFO - Saving checkpoint at 32 epochs |
| 2025-06-01 13:46:07,053 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 13:46:07,127 - pyskl - INFO - |
| top1_acc 0.5586 |
| top5_acc 0.8659 |
| 2025-06-01 13:46:07,127 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 13:46:07,135 - pyskl - INFO - |
| mean_acc 0.5540 |
| 2025-06-01 13:46:07,137 - pyskl - INFO - Epoch(val) [32][413] top1_acc: 0.5586, top5_acc: 0.8659, mean_class_accuracy: 0.5540 |
| 2025-06-01 13:47:10,753 - pyskl - INFO - Epoch [33][100/1027] lr: 2.228e-02, eta: 13:22:52, time: 0.636, data_time: 0.251, memory: 7959, top1_acc: 0.5062, top5_acc: 0.8081, loss_cls: 5.7067, loss: 5.7067 |
| 2025-06-01 13:47:49,532 - pyskl - INFO - Epoch [33][200/1027] lr: 2.226e-02, eta: 13:22:09, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5038, top5_acc: 0.7875, loss_cls: 5.7831, loss: 5.7831 |
| 2025-06-01 13:48:28,072 - pyskl - INFO - Epoch [33][300/1027] lr: 2.225e-02, eta: 13:21:25, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5194, top5_acc: 0.8019, loss_cls: 5.7455, loss: 5.7455 |
| 2025-06-01 13:49:06,778 - pyskl - INFO - Epoch [33][400/1027] lr: 2.223e-02, eta: 13:20:41, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7913, loss_cls: 5.7822, loss: 5.7822 |
| 2025-06-01 13:49:45,158 - pyskl - INFO - Epoch [33][500/1027] lr: 2.222e-02, eta: 13:19:56, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4769, top5_acc: 0.7812, loss_cls: 5.8757, loss: 5.8757 |
| 2025-06-01 13:50:23,411 - pyskl - INFO - Epoch [33][600/1027] lr: 2.220e-02, eta: 13:19:11, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4888, top5_acc: 0.7913, loss_cls: 5.7477, loss: 5.7477 |
| 2025-06-01 13:51:03,247 - pyskl - INFO - Epoch [33][700/1027] lr: 2.218e-02, eta: 13:18:31, time: 0.398, data_time: 0.000, memory: 7959, top1_acc: 0.4981, top5_acc: 0.7863, loss_cls: 5.8063, loss: 5.8063 |
| 2025-06-01 13:51:43,341 - pyskl - INFO - Epoch [33][800/1027] lr: 2.217e-02, eta: 13:17:53, time: 0.401, data_time: 0.000, memory: 7959, top1_acc: 0.4819, top5_acc: 0.7644, loss_cls: 5.9572, loss: 5.9572 |
| 2025-06-01 13:52:21,634 - pyskl - INFO - Epoch [33][900/1027] lr: 2.215e-02, eta: 13:17:08, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.7669, loss_cls: 5.9462, loss: 5.9462 |
| 2025-06-01 13:52:59,993 - pyskl - INFO - Epoch [33][1000/1027] lr: 2.214e-02, eta: 13:16:23, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7744, loss_cls: 5.8781, loss: 5.8781 |
| 2025-06-01 13:53:11,171 - pyskl - INFO - Saving checkpoint at 33 epochs |
| 2025-06-01 13:53:47,833 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 13:53:47,904 - pyskl - INFO - |
| top1_acc 0.5518 |
| top5_acc 0.8669 |
| 2025-06-01 13:53:47,904 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 13:53:47,912 - pyskl - INFO - |
| mean_acc 0.5432 |
| 2025-06-01 13:53:47,913 - pyskl - INFO - Epoch(val) [33][413] top1_acc: 0.5518, top5_acc: 0.8669, mean_class_accuracy: 0.5432 |
| 2025-06-01 13:54:50,750 - pyskl - INFO - Epoch [34][100/1027] lr: 2.212e-02, eta: 13:16:16, time: 0.628, data_time: 0.246, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7956, loss_cls: 5.8535, loss: 5.8535 |
| 2025-06-01 13:55:29,470 - pyskl - INFO - Epoch [34][200/1027] lr: 2.210e-02, eta: 13:15:33, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7875, loss_cls: 5.7668, loss: 5.7668 |
| 2025-06-01 13:56:08,043 - pyskl - INFO - Epoch [34][300/1027] lr: 2.208e-02, eta: 13:14:49, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7944, loss_cls: 5.8017, loss: 5.8017 |
| 2025-06-01 13:56:46,907 - pyskl - INFO - Epoch [34][400/1027] lr: 2.207e-02, eta: 13:14:06, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.4956, top5_acc: 0.7994, loss_cls: 5.7375, loss: 5.7375 |
| 2025-06-01 13:57:25,442 - pyskl - INFO - Epoch [34][500/1027] lr: 2.205e-02, eta: 13:13:21, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4813, top5_acc: 0.7750, loss_cls: 5.8747, loss: 5.8747 |
| 2025-06-01 13:58:03,689 - pyskl - INFO - Epoch [34][600/1027] lr: 2.203e-02, eta: 13:12:36, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5044, top5_acc: 0.7831, loss_cls: 5.7978, loss: 5.7978 |
| 2025-06-01 13:58:41,956 - pyskl - INFO - Epoch [34][700/1027] lr: 2.202e-02, eta: 13:11:51, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5088, top5_acc: 0.7869, loss_cls: 5.8133, loss: 5.8133 |
| 2025-06-01 13:59:20,176 - pyskl - INFO - Epoch [34][800/1027] lr: 2.200e-02, eta: 13:11:06, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5144, top5_acc: 0.7950, loss_cls: 5.7290, loss: 5.7290 |
| 2025-06-01 13:59:58,335 - pyskl - INFO - Epoch [34][900/1027] lr: 2.198e-02, eta: 13:10:21, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4875, top5_acc: 0.7819, loss_cls: 5.7768, loss: 5.7768 |
| 2025-06-01 14:00:36,754 - pyskl - INFO - Epoch [34][1000/1027] lr: 2.197e-02, eta: 13:09:37, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.8006, loss_cls: 5.7108, loss: 5.7108 |
| 2025-06-01 14:00:48,158 - pyskl - INFO - Saving checkpoint at 34 epochs |
| 2025-06-01 14:01:24,914 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 14:01:24,984 - pyskl - INFO - |
| top1_acc 0.5711 |
| top5_acc 0.8759 |
| 2025-06-01 14:01:24,984 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 14:01:24,991 - pyskl - INFO - |
| mean_acc 0.5661 |
| 2025-06-01 14:01:25,048 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_30.pth was removed |
| 2025-06-01 14:01:26,564 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_34.pth. |
| 2025-06-01 14:01:26,566 - pyskl - INFO - Best top1_acc is 0.5711 at 34 epoch. |
| 2025-06-01 14:01:26,569 - pyskl - INFO - Epoch(val) [34][413] top1_acc: 0.5711, top5_acc: 0.8759, mean_class_accuracy: 0.5661 |
| 2025-06-01 14:02:29,679 - pyskl - INFO - Epoch [35][100/1027] lr: 2.195e-02, eta: 13:09:29, time: 0.631, data_time: 0.248, memory: 7959, top1_acc: 0.5244, top5_acc: 0.8075, loss_cls: 5.5394, loss: 5.5394 |
| 2025-06-01 14:03:08,120 - pyskl - INFO - Epoch [35][200/1027] lr: 2.193e-02, eta: 13:08:44, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7975, loss_cls: 5.7184, loss: 5.7184 |
| 2025-06-01 14:03:46,277 - pyskl - INFO - Epoch [35][300/1027] lr: 2.191e-02, eta: 13:07:59, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5212, top5_acc: 0.8087, loss_cls: 5.6339, loss: 5.6339 |
| 2025-06-01 14:04:24,327 - pyskl - INFO - Epoch [35][400/1027] lr: 2.190e-02, eta: 13:07:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7806, loss_cls: 5.7619, loss: 5.7619 |
| 2025-06-01 14:05:02,830 - pyskl - INFO - Epoch [35][500/1027] lr: 2.188e-02, eta: 13:06:29, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5094, top5_acc: 0.7925, loss_cls: 5.8726, loss: 5.8726 |
| 2025-06-01 14:05:40,543 - pyskl - INFO - Epoch [35][600/1027] lr: 2.186e-02, eta: 13:05:43, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5175, top5_acc: 0.8037, loss_cls: 5.6894, loss: 5.6894 |
| 2025-06-01 14:06:18,284 - pyskl - INFO - Epoch [35][700/1027] lr: 2.185e-02, eta: 13:04:56, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4931, top5_acc: 0.7837, loss_cls: 5.8019, loss: 5.8019 |
| 2025-06-01 14:06:55,993 - pyskl - INFO - Epoch [35][800/1027] lr: 2.183e-02, eta: 13:04:10, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4594, top5_acc: 0.7688, loss_cls: 5.9271, loss: 5.9271 |
| 2025-06-01 14:07:33,922 - pyskl - INFO - Epoch [35][900/1027] lr: 2.181e-02, eta: 13:03:24, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.7806, loss_cls: 5.8784, loss: 5.8784 |
| 2025-06-01 14:08:11,371 - pyskl - INFO - Epoch [35][1000/1027] lr: 2.179e-02, eta: 13:02:37, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4844, top5_acc: 0.7944, loss_cls: 5.7814, loss: 5.7814 |
| 2025-06-01 14:08:22,351 - pyskl - INFO - Saving checkpoint at 35 epochs |
| 2025-06-01 14:27:05,503 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 14:27:05,578 - pyskl - INFO - |
| top1_acc 0.5687 |
| top5_acc 0.8716 |
| 2025-06-01 14:27:05,579 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 14:27:05,587 - pyskl - INFO - |
| mean_acc 0.5618 |
| 2025-06-01 14:27:05,588 - pyskl - INFO - Epoch(val) [35][413] top1_acc: 0.5687, top5_acc: 0.8716, mean_class_accuracy: 0.5618 |
| 2025-06-01 14:28:09,566 - pyskl - INFO - Epoch [36][100/1027] lr: 2.177e-02, eta: 13:02:30, time: 0.640, data_time: 0.258, memory: 7959, top1_acc: 0.5131, top5_acc: 0.8231, loss_cls: 5.7089, loss: 5.7089 |
| 2025-06-01 14:28:47,909 - pyskl - INFO - Epoch [36][200/1027] lr: 2.176e-02, eta: 13:01:46, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.8056, loss_cls: 5.6274, loss: 5.6274 |
| 2025-06-01 14:29:26,918 - pyskl - INFO - Epoch [36][300/1027] lr: 2.174e-02, eta: 13:01:03, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.5131, top5_acc: 0.7925, loss_cls: 5.6683, loss: 5.6683 |
| 2025-06-01 14:30:05,290 - pyskl - INFO - Epoch [36][400/1027] lr: 2.172e-02, eta: 13:00:19, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5056, top5_acc: 0.8013, loss_cls: 5.6886, loss: 5.6886 |
| 2025-06-01 14:30:43,503 - pyskl - INFO - Epoch [36][500/1027] lr: 2.170e-02, eta: 12:59:34, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5031, top5_acc: 0.8013, loss_cls: 5.6712, loss: 5.6712 |
| 2025-06-01 14:31:22,170 - pyskl - INFO - Epoch [36][600/1027] lr: 2.169e-02, eta: 12:58:51, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.4906, top5_acc: 0.7919, loss_cls: 5.8271, loss: 5.8271 |
| 2025-06-01 14:32:00,925 - pyskl - INFO - Epoch [36][700/1027] lr: 2.167e-02, eta: 12:58:08, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.4906, top5_acc: 0.7863, loss_cls: 5.7575, loss: 5.7575 |
| 2025-06-01 14:32:39,386 - pyskl - INFO - Epoch [36][800/1027] lr: 2.165e-02, eta: 12:57:24, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.7887, loss_cls: 5.7469, loss: 5.7469 |
| 2025-06-01 14:33:17,536 - pyskl - INFO - Epoch [36][900/1027] lr: 2.163e-02, eta: 12:56:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4844, top5_acc: 0.7825, loss_cls: 5.8915, loss: 5.8915 |
| 2025-06-01 14:33:55,631 - pyskl - INFO - Epoch [36][1000/1027] lr: 2.162e-02, eta: 12:55:54, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5169, top5_acc: 0.7994, loss_cls: 5.6797, loss: 5.6797 |
| 2025-06-01 14:34:06,734 - pyskl - INFO - Saving checkpoint at 36 epochs |
| 2025-06-01 14:34:44,297 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 14:34:44,370 - pyskl - INFO - |
| top1_acc 0.5678 |
| top5_acc 0.8694 |
| 2025-06-01 14:34:44,370 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 14:34:44,379 - pyskl - INFO - |
| mean_acc 0.5615 |
| 2025-06-01 14:34:44,381 - pyskl - INFO - Epoch(val) [36][413] top1_acc: 0.5678, top5_acc: 0.8694, mean_class_accuracy: 0.5615 |
| 2025-06-01 14:35:48,591 - pyskl - INFO - Epoch [37][100/1027] lr: 2.159e-02, eta: 12:55:47, time: 0.642, data_time: 0.262, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8125, loss_cls: 5.5680, loss: 5.5680 |
| 2025-06-01 14:36:26,554 - pyskl - INFO - Epoch [37][200/1027] lr: 2.158e-02, eta: 12:55:01, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5175, top5_acc: 0.8044, loss_cls: 5.6853, loss: 5.6853 |
| 2025-06-01 14:37:04,565 - pyskl - INFO - Epoch [37][300/1027] lr: 2.156e-02, eta: 12:54:16, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.7863, loss_cls: 5.7472, loss: 5.7472 |
| 2025-06-01 14:37:42,985 - pyskl - INFO - Epoch [37][400/1027] lr: 2.154e-02, eta: 12:53:32, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5006, top5_acc: 0.7994, loss_cls: 5.6778, loss: 5.6778 |
| 2025-06-01 14:38:22,112 - pyskl - INFO - Epoch [37][500/1027] lr: 2.152e-02, eta: 12:52:50, time: 0.391, data_time: 0.000, memory: 7959, top1_acc: 0.5081, top5_acc: 0.7850, loss_cls: 5.7134, loss: 5.7134 |
| 2025-06-01 14:39:00,456 - pyskl - INFO - Epoch [37][600/1027] lr: 2.151e-02, eta: 12:52:06, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5094, top5_acc: 0.7931, loss_cls: 5.7471, loss: 5.7471 |
| 2025-06-01 14:39:39,367 - pyskl - INFO - Epoch [37][700/1027] lr: 2.149e-02, eta: 12:51:23, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.5100, top5_acc: 0.7944, loss_cls: 5.6745, loss: 5.6745 |
| 2025-06-01 14:40:17,848 - pyskl - INFO - Epoch [37][800/1027] lr: 2.147e-02, eta: 12:50:40, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5294, top5_acc: 0.7987, loss_cls: 5.6383, loss: 5.6383 |
| 2025-06-01 14:40:56,108 - pyskl - INFO - Epoch [37][900/1027] lr: 2.145e-02, eta: 12:49:55, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4906, top5_acc: 0.7981, loss_cls: 5.7975, loss: 5.7975 |
| 2025-06-01 14:41:34,540 - pyskl - INFO - Epoch [37][1000/1027] lr: 2.144e-02, eta: 12:49:11, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5025, top5_acc: 0.8031, loss_cls: 5.7703, loss: 5.7703 |
| 2025-06-01 14:41:45,898 - pyskl - INFO - Saving checkpoint at 37 epochs |
| 2025-06-01 14:42:23,040 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 14:42:23,111 - pyskl - INFO - |
| top1_acc 0.5445 |
| top5_acc 0.8574 |
| 2025-06-01 14:42:23,111 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 14:42:23,118 - pyskl - INFO - |
| mean_acc 0.5474 |
| 2025-06-01 14:42:23,120 - pyskl - INFO - Epoch(val) [37][413] top1_acc: 0.5445, top5_acc: 0.8574, mean_class_accuracy: 0.5474 |
| 2025-06-01 14:43:27,054 - pyskl - INFO - Epoch [38][100/1027] lr: 2.141e-02, eta: 12:49:02, time: 0.639, data_time: 0.256, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8313, loss_cls: 5.5489, loss: 5.5489 |
| 2025-06-01 14:44:05,326 - pyskl - INFO - Epoch [38][200/1027] lr: 2.140e-02, eta: 12:48:17, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5162, top5_acc: 0.7994, loss_cls: 5.6054, loss: 5.6054 |
| 2025-06-01 14:44:43,575 - pyskl - INFO - Epoch [38][300/1027] lr: 2.138e-02, eta: 12:47:33, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5050, top5_acc: 0.7900, loss_cls: 5.7785, loss: 5.7785 |
| 2025-06-01 14:45:22,043 - pyskl - INFO - Epoch [38][400/1027] lr: 2.136e-02, eta: 12:46:49, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.7931, loss_cls: 5.8300, loss: 5.8300 |
| 2025-06-01 14:46:00,713 - pyskl - INFO - Epoch [38][500/1027] lr: 2.134e-02, eta: 12:46:06, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.8063, loss_cls: 5.7134, loss: 5.7134 |
| 2025-06-01 14:46:39,236 - pyskl - INFO - Epoch [38][600/1027] lr: 2.132e-02, eta: 12:45:23, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5025, top5_acc: 0.8025, loss_cls: 5.7882, loss: 5.7882 |
| 2025-06-01 14:47:18,019 - pyskl - INFO - Epoch [38][700/1027] lr: 2.131e-02, eta: 12:44:40, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5031, top5_acc: 0.7931, loss_cls: 5.7536, loss: 5.7536 |
| 2025-06-01 14:47:57,089 - pyskl - INFO - Epoch [38][800/1027] lr: 2.129e-02, eta: 12:43:58, time: 0.391, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.8044, loss_cls: 5.7278, loss: 5.7278 |
| 2025-06-01 14:48:37,257 - pyskl - INFO - Epoch [38][900/1027] lr: 2.127e-02, eta: 12:43:19, time: 0.402, data_time: 0.000, memory: 7959, top1_acc: 0.4850, top5_acc: 0.7863, loss_cls: 5.6649, loss: 5.6649 |
| 2025-06-01 14:49:17,383 - pyskl - INFO - Epoch [38][1000/1027] lr: 2.125e-02, eta: 12:42:41, time: 0.401, data_time: 0.000, memory: 7959, top1_acc: 0.5144, top5_acc: 0.7969, loss_cls: 5.7248, loss: 5.7248 |
| 2025-06-01 14:49:28,974 - pyskl - INFO - Saving checkpoint at 38 epochs |
| 2025-06-01 14:50:06,435 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 14:50:06,507 - pyskl - INFO - |
| top1_acc 0.5705 |
| top5_acc 0.8721 |
| 2025-06-01 14:50:06,508 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 14:50:06,516 - pyskl - INFO - |
| mean_acc 0.5581 |
| 2025-06-01 14:50:06,518 - pyskl - INFO - Epoch(val) [38][413] top1_acc: 0.5705, top5_acc: 0.8721, mean_class_accuracy: 0.5581 |
| 2025-06-01 14:51:10,304 - pyskl - INFO - Epoch [39][100/1027] lr: 2.123e-02, eta: 12:42:29, time: 0.638, data_time: 0.256, memory: 7959, top1_acc: 0.5463, top5_acc: 0.8181, loss_cls: 5.4394, loss: 5.4394 |
| 2025-06-01 14:51:48,406 - pyskl - INFO - Epoch [39][200/1027] lr: 2.121e-02, eta: 12:41:44, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.8069, loss_cls: 5.5933, loss: 5.5933 |
| 2025-06-01 14:52:26,825 - pyskl - INFO - Epoch [39][300/1027] lr: 2.119e-02, eta: 12:41:00, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5256, top5_acc: 0.8100, loss_cls: 5.6264, loss: 5.6264 |
| 2025-06-01 14:53:05,798 - pyskl - INFO - Epoch [39][400/1027] lr: 2.117e-02, eta: 12:40:18, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.5138, top5_acc: 0.8000, loss_cls: 5.6121, loss: 5.6121 |
| 2025-06-01 14:53:44,106 - pyskl - INFO - Epoch [39][500/1027] lr: 2.115e-02, eta: 12:39:34, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5175, top5_acc: 0.8019, loss_cls: 5.6952, loss: 5.6952 |
| 2025-06-01 14:54:22,700 - pyskl - INFO - Epoch [39][600/1027] lr: 2.114e-02, eta: 12:38:51, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5019, top5_acc: 0.8056, loss_cls: 5.7622, loss: 5.7622 |
| 2025-06-01 14:55:01,404 - pyskl - INFO - Epoch [39][700/1027] lr: 2.112e-02, eta: 12:38:08, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5088, top5_acc: 0.7975, loss_cls: 5.7838, loss: 5.7838 |
| 2025-06-01 14:55:41,445 - pyskl - INFO - Epoch [39][800/1027] lr: 2.110e-02, eta: 12:37:29, time: 0.400, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.7975, loss_cls: 5.7258, loss: 5.7258 |
| 2025-06-01 14:56:21,460 - pyskl - INFO - Epoch [39][900/1027] lr: 2.108e-02, eta: 12:36:50, time: 0.400, data_time: 0.000, memory: 7959, top1_acc: 0.4931, top5_acc: 0.7719, loss_cls: 5.8178, loss: 5.8178 |
| 2025-06-01 14:57:00,949 - pyskl - INFO - Epoch [39][1000/1027] lr: 2.106e-02, eta: 12:36:09, time: 0.395, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7981, loss_cls: 5.6818, loss: 5.6818 |
| 2025-06-01 14:57:12,838 - pyskl - INFO - Saving checkpoint at 39 epochs |
| 2025-06-01 14:57:50,176 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 14:57:50,251 - pyskl - INFO - |
| top1_acc 0.5608 |
| top5_acc 0.8738 |
| 2025-06-01 14:57:50,251 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 14:57:50,260 - pyskl - INFO - |
| mean_acc 0.5594 |
| 2025-06-01 14:57:50,263 - pyskl - INFO - Epoch(val) [39][413] top1_acc: 0.5608, top5_acc: 0.8738, mean_class_accuracy: 0.5594 |
| 2025-06-01 14:58:53,057 - pyskl - INFO - Epoch [40][100/1027] lr: 2.104e-02, eta: 12:35:53, time: 0.628, data_time: 0.247, memory: 7959, top1_acc: 0.5169, top5_acc: 0.8219, loss_cls: 5.5900, loss: 5.5900 |
| 2025-06-01 14:59:31,178 - pyskl - INFO - Epoch [40][200/1027] lr: 2.102e-02, eta: 12:35:09, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.8056, loss_cls: 5.6036, loss: 5.6036 |
| 2025-06-01 15:00:09,361 - pyskl - INFO - Epoch [40][300/1027] lr: 2.100e-02, eta: 12:34:24, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5038, top5_acc: 0.8000, loss_cls: 5.7212, loss: 5.7212 |
| 2025-06-01 15:00:48,342 - pyskl - INFO - Epoch [40][400/1027] lr: 2.098e-02, eta: 12:33:42, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.5300, top5_acc: 0.7931, loss_cls: 5.6152, loss: 5.6152 |
| 2025-06-01 15:01:26,544 - pyskl - INFO - Epoch [40][500/1027] lr: 2.096e-02, eta: 12:32:58, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8169, loss_cls: 5.5702, loss: 5.5702 |
| 2025-06-01 15:02:05,194 - pyskl - INFO - Epoch [40][600/1027] lr: 2.094e-02, eta: 12:32:15, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5038, top5_acc: 0.7956, loss_cls: 5.7258, loss: 5.7258 |
| 2025-06-01 15:02:43,616 - pyskl - INFO - Epoch [40][700/1027] lr: 2.093e-02, eta: 12:31:31, time: 0.384, data_time: 0.001, memory: 7959, top1_acc: 0.5056, top5_acc: 0.7831, loss_cls: 5.7910, loss: 5.7910 |
| 2025-06-01 15:03:21,334 - pyskl - INFO - Epoch [40][800/1027] lr: 2.091e-02, eta: 12:30:45, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5250, top5_acc: 0.8069, loss_cls: 5.6782, loss: 5.6782 |
| 2025-06-01 15:04:00,570 - pyskl - INFO - Epoch [40][900/1027] lr: 2.089e-02, eta: 12:30:04, time: 0.392, data_time: 0.000, memory: 7959, top1_acc: 0.5206, top5_acc: 0.8013, loss_cls: 5.6058, loss: 5.6058 |
| 2025-06-01 15:04:39,783 - pyskl - INFO - Epoch [40][1000/1027] lr: 2.087e-02, eta: 12:29:23, time: 0.392, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.8037, loss_cls: 5.7149, loss: 5.7149 |
| 2025-06-01 15:04:50,506 - pyskl - INFO - Saving checkpoint at 40 epochs |
| 2025-06-01 15:24:11,488 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 15:24:11,560 - pyskl - INFO - |
| top1_acc 0.5778 |
| top5_acc 0.8801 |
| 2025-06-01 15:24:11,560 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 15:24:11,568 - pyskl - INFO - |
| mean_acc 0.5760 |
| 2025-06-01 15:24:11,626 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_34.pth was removed |
| 2025-06-01 15:24:13,299 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. |
| 2025-06-01 15:24:13,300 - pyskl - INFO - Best top1_acc is 0.5778 at 40 epoch. |
| 2025-06-01 15:24:13,303 - pyskl - INFO - Epoch(val) [40][413] top1_acc: 0.5778, top5_acc: 0.8801, mean_class_accuracy: 0.5760 |
| 2025-06-01 15:25:17,270 - pyskl - INFO - Epoch [41][100/1027] lr: 2.085e-02, eta: 12:29:09, time: 0.640, data_time: 0.252, memory: 7959, top1_acc: 0.5319, top5_acc: 0.8019, loss_cls: 5.5114, loss: 5.5114 |
| 2025-06-01 15:25:55,214 - pyskl - INFO - Epoch [41][200/1027] lr: 2.083e-02, eta: 12:28:24, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.8169, loss_cls: 5.5383, loss: 5.5383 |
| 2025-06-01 15:26:33,086 - pyskl - INFO - Epoch [41][300/1027] lr: 2.081e-02, eta: 12:27:39, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.7950, loss_cls: 5.5314, loss: 5.5314 |
| 2025-06-01 15:27:11,056 - pyskl - INFO - Epoch [41][400/1027] lr: 2.079e-02, eta: 12:26:54, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5131, top5_acc: 0.8087, loss_cls: 5.5632, loss: 5.5632 |
| 2025-06-01 15:27:50,290 - pyskl - INFO - Epoch [41][500/1027] lr: 2.077e-02, eta: 12:26:13, time: 0.392, data_time: 0.000, memory: 7959, top1_acc: 0.5100, top5_acc: 0.7969, loss_cls: 5.7070, loss: 5.7070 |
| 2025-06-01 15:28:28,852 - pyskl - INFO - Epoch [41][600/1027] lr: 2.075e-02, eta: 12:25:30, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5269, top5_acc: 0.8006, loss_cls: 5.5930, loss: 5.5930 |
| 2025-06-01 15:29:06,850 - pyskl - INFO - Epoch [41][700/1027] lr: 2.073e-02, eta: 12:24:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5262, top5_acc: 0.8025, loss_cls: 5.6434, loss: 5.6434 |
| 2025-06-01 15:29:45,487 - pyskl - INFO - Epoch [41][800/1027] lr: 2.071e-02, eta: 12:24:02, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5231, top5_acc: 0.7956, loss_cls: 5.6250, loss: 5.6250 |
| 2025-06-01 15:30:23,849 - pyskl - INFO - Epoch [41][900/1027] lr: 2.069e-02, eta: 12:23:18, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5281, top5_acc: 0.8069, loss_cls: 5.5518, loss: 5.5518 |
| 2025-06-01 15:31:01,740 - pyskl - INFO - Epoch [41][1000/1027] lr: 2.067e-02, eta: 12:22:33, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.8087, loss_cls: 5.6738, loss: 5.6738 |
| 2025-06-01 15:31:12,740 - pyskl - INFO - Saving checkpoint at 41 epochs |
| 2025-06-01 15:31:49,417 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 15:31:49,488 - pyskl - INFO - |
| top1_acc 0.5913 |
| top5_acc 0.8851 |
| 2025-06-01 15:31:49,488 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 15:31:49,496 - pyskl - INFO - |
| mean_acc 0.5867 |
| 2025-06-01 15:31:49,553 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_40.pth was removed |
| 2025-06-01 15:31:51,127 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. |
| 2025-06-01 15:31:51,129 - pyskl - INFO - Best top1_acc is 0.5913 at 41 epoch. |
| 2025-06-01 15:31:51,132 - pyskl - INFO - Epoch(val) [41][413] top1_acc: 0.5913, top5_acc: 0.8851, mean_class_accuracy: 0.5867 |
| 2025-06-01 15:32:54,422 - pyskl - INFO - Epoch [42][100/1027] lr: 2.065e-02, eta: 12:22:17, time: 0.633, data_time: 0.251, memory: 7959, top1_acc: 0.5463, top5_acc: 0.8300, loss_cls: 5.4532, loss: 5.4532 |
| 2025-06-01 15:33:32,317 - pyskl - INFO - Epoch [42][200/1027] lr: 2.063e-02, eta: 12:21:32, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5188, top5_acc: 0.8056, loss_cls: 5.6360, loss: 5.6360 |
| 2025-06-01 15:34:10,237 - pyskl - INFO - Epoch [42][300/1027] lr: 2.061e-02, eta: 12:20:47, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5188, top5_acc: 0.8087, loss_cls: 5.6828, loss: 5.6828 |
| 2025-06-01 15:34:48,654 - pyskl - INFO - Epoch [42][400/1027] lr: 2.059e-02, eta: 12:20:04, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5250, top5_acc: 0.8081, loss_cls: 5.6289, loss: 5.6289 |
| 2025-06-01 15:35:27,088 - pyskl - INFO - Epoch [42][500/1027] lr: 2.057e-02, eta: 12:19:20, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5356, top5_acc: 0.8263, loss_cls: 5.5005, loss: 5.5005 |
| 2025-06-01 15:36:05,496 - pyskl - INFO - Epoch [42][600/1027] lr: 2.055e-02, eta: 12:18:37, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5094, top5_acc: 0.8006, loss_cls: 5.6821, loss: 5.6821 |
| 2025-06-01 15:36:43,637 - pyskl - INFO - Epoch [42][700/1027] lr: 2.053e-02, eta: 12:17:53, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5387, top5_acc: 0.8025, loss_cls: 5.6012, loss: 5.6012 |
| 2025-06-01 15:37:22,058 - pyskl - INFO - Epoch [42][800/1027] lr: 2.051e-02, eta: 12:17:09, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5312, top5_acc: 0.8037, loss_cls: 5.6482, loss: 5.6482 |
| 2025-06-01 15:38:00,335 - pyskl - INFO - Epoch [42][900/1027] lr: 2.049e-02, eta: 12:16:25, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.7944, loss_cls: 5.7607, loss: 5.7607 |
| 2025-06-01 15:38:38,322 - pyskl - INFO - Epoch [42][1000/1027] lr: 2.047e-02, eta: 12:15:41, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5200, top5_acc: 0.7819, loss_cls: 5.6950, loss: 5.6950 |
| 2025-06-01 15:38:49,373 - pyskl - INFO - Saving checkpoint at 42 epochs |
| 2025-06-01 15:39:25,905 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 15:39:25,976 - pyskl - INFO - |
| top1_acc 0.5831 |
| top5_acc 0.8865 |
| 2025-06-01 15:39:25,976 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 15:39:25,984 - pyskl - INFO - |
| mean_acc 0.5753 |
| 2025-06-01 15:39:25,986 - pyskl - INFO - Epoch(val) [42][413] top1_acc: 0.5831, top5_acc: 0.8865, mean_class_accuracy: 0.5753 |
| 2025-06-01 15:40:29,554 - pyskl - INFO - Epoch [43][100/1027] lr: 2.045e-02, eta: 12:15:24, time: 0.636, data_time: 0.254, memory: 7959, top1_acc: 0.5256, top5_acc: 0.8113, loss_cls: 5.5097, loss: 5.5097 |
| 2025-06-01 15:41:07,414 - pyskl - INFO - Epoch [43][200/1027] lr: 2.043e-02, eta: 12:14:39, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5319, top5_acc: 0.8137, loss_cls: 5.5073, loss: 5.5073 |
| 2025-06-01 15:41:45,294 - pyskl - INFO - Epoch [43][300/1027] lr: 2.041e-02, eta: 12:13:54, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5356, top5_acc: 0.8019, loss_cls: 5.6101, loss: 5.6101 |
| 2025-06-01 15:42:23,528 - pyskl - INFO - Epoch [43][400/1027] lr: 2.039e-02, eta: 12:13:11, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5131, top5_acc: 0.8025, loss_cls: 5.6033, loss: 5.6033 |
| 2025-06-01 15:43:02,137 - pyskl - INFO - Epoch [43][500/1027] lr: 2.037e-02, eta: 12:12:28, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5250, top5_acc: 0.7963, loss_cls: 5.5833, loss: 5.5833 |
| 2025-06-01 15:43:40,421 - pyskl - INFO - Epoch [43][600/1027] lr: 2.035e-02, eta: 12:11:44, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5169, top5_acc: 0.8144, loss_cls: 5.4614, loss: 5.4614 |
| 2025-06-01 15:44:18,724 - pyskl - INFO - Epoch [43][700/1027] lr: 2.033e-02, eta: 12:11:01, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.8275, loss_cls: 5.6658, loss: 5.6658 |
| 2025-06-01 15:44:57,174 - pyskl - INFO - Epoch [43][800/1027] lr: 2.031e-02, eta: 12:10:17, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5319, top5_acc: 0.8100, loss_cls: 5.5781, loss: 5.5781 |
| 2025-06-01 15:45:35,474 - pyskl - INFO - Epoch [43][900/1027] lr: 2.029e-02, eta: 12:09:34, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8069, loss_cls: 5.6320, loss: 5.6320 |
| 2025-06-01 15:46:13,459 - pyskl - INFO - Epoch [43][1000/1027] lr: 2.027e-02, eta: 12:08:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5319, top5_acc: 0.8013, loss_cls: 5.5792, loss: 5.5792 |
| 2025-06-01 15:46:24,474 - pyskl - INFO - Saving checkpoint at 43 epochs |
| 2025-06-01 15:47:00,890 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 15:47:00,961 - pyskl - INFO - |
| top1_acc 0.5827 |
| top5_acc 0.8816 |
| 2025-06-01 15:47:00,961 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 15:47:00,969 - pyskl - INFO - |
| mean_acc 0.5745 |
| 2025-06-01 15:47:00,971 - pyskl - INFO - Epoch(val) [43][413] top1_acc: 0.5827, top5_acc: 0.8816, mean_class_accuracy: 0.5745 |
| 2025-06-01 15:48:04,085 - pyskl - INFO - Epoch [44][100/1027] lr: 2.024e-02, eta: 12:08:30, time: 0.631, data_time: 0.250, memory: 7959, top1_acc: 0.5356, top5_acc: 0.8181, loss_cls: 5.4989, loss: 5.4989 |
| 2025-06-01 15:48:41,912 - pyskl - INFO - Epoch [44][200/1027] lr: 2.022e-02, eta: 12:07:45, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5675, top5_acc: 0.8344, loss_cls: 5.3322, loss: 5.3322 |
| 2025-06-01 15:49:19,776 - pyskl - INFO - Epoch [44][300/1027] lr: 2.020e-02, eta: 12:07:01, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5519, top5_acc: 0.8263, loss_cls: 5.4851, loss: 5.4851 |
| 2025-06-01 15:49:58,109 - pyskl - INFO - Epoch [44][400/1027] lr: 2.018e-02, eta: 12:06:17, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5162, top5_acc: 0.8100, loss_cls: 5.5593, loss: 5.5593 |
| 2025-06-01 15:50:36,723 - pyskl - INFO - Epoch [44][500/1027] lr: 2.016e-02, eta: 12:05:35, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.8044, loss_cls: 5.6672, loss: 5.6672 |
| 2025-06-01 15:51:15,214 - pyskl - INFO - Epoch [44][600/1027] lr: 2.014e-02, eta: 12:04:52, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5225, top5_acc: 0.8087, loss_cls: 5.5125, loss: 5.5125 |
| 2025-06-01 15:51:53,516 - pyskl - INFO - Epoch [44][700/1027] lr: 2.012e-02, eta: 12:04:08, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5006, top5_acc: 0.8037, loss_cls: 5.7566, loss: 5.7566 |
| 2025-06-01 15:52:31,958 - pyskl - INFO - Epoch [44][800/1027] lr: 2.010e-02, eta: 12:03:25, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5138, top5_acc: 0.8069, loss_cls: 5.6901, loss: 5.6901 |
| 2025-06-01 15:53:10,197 - pyskl - INFO - Epoch [44][900/1027] lr: 2.008e-02, eta: 12:02:42, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5212, top5_acc: 0.8106, loss_cls: 5.5859, loss: 5.5859 |
| 2025-06-01 15:53:48,148 - pyskl - INFO - Epoch [44][1000/1027] lr: 2.006e-02, eta: 12:01:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5337, top5_acc: 0.8031, loss_cls: 5.5741, loss: 5.5741 |
| 2025-06-01 15:53:59,142 - pyskl - INFO - Saving checkpoint at 44 epochs |
| 2025-06-01 15:54:35,900 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 15:54:35,975 - pyskl - INFO - |
| top1_acc 0.5668 |
| top5_acc 0.8673 |
| 2025-06-01 15:54:35,975 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 15:54:35,983 - pyskl - INFO - |
| mean_acc 0.5606 |
| 2025-06-01 15:54:35,984 - pyskl - INFO - Epoch(val) [44][413] top1_acc: 0.5668, top5_acc: 0.8673, mean_class_accuracy: 0.5606 |
| 2025-06-01 15:55:39,603 - pyskl - INFO - Epoch [45][100/1027] lr: 2.004e-02, eta: 12:01:38, time: 0.636, data_time: 0.253, memory: 7959, top1_acc: 0.5394, top5_acc: 0.8263, loss_cls: 5.4727, loss: 5.4727 |
| 2025-06-01 15:56:17,962 - pyskl - INFO - Epoch [45][200/1027] lr: 2.002e-02, eta: 12:00:55, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5400, top5_acc: 0.8313, loss_cls: 5.5319, loss: 5.5319 |
| 2025-06-01 15:56:56,336 - pyskl - INFO - Epoch [45][300/1027] lr: 2.000e-02, eta: 12:00:12, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5437, top5_acc: 0.8200, loss_cls: 5.3985, loss: 5.3985 |
| 2025-06-01 15:57:34,770 - pyskl - INFO - Epoch [45][400/1027] lr: 1.998e-02, eta: 11:59:29, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5269, top5_acc: 0.8237, loss_cls: 5.4249, loss: 5.4249 |
| 2025-06-01 15:58:13,160 - pyskl - INFO - Epoch [45][500/1027] lr: 1.996e-02, eta: 11:58:46, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5225, top5_acc: 0.7987, loss_cls: 5.5248, loss: 5.5248 |
| 2025-06-01 15:58:51,305 - pyskl - INFO - Epoch [45][600/1027] lr: 1.994e-02, eta: 11:58:02, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5181, top5_acc: 0.7919, loss_cls: 5.7006, loss: 5.7006 |
| 2025-06-01 15:59:29,386 - pyskl - INFO - Epoch [45][700/1027] lr: 1.991e-02, eta: 11:57:18, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5500, top5_acc: 0.8169, loss_cls: 5.4902, loss: 5.4902 |
| 2025-06-01 16:00:08,203 - pyskl - INFO - Epoch [45][800/1027] lr: 1.989e-02, eta: 11:56:36, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5256, top5_acc: 0.8100, loss_cls: 5.5938, loss: 5.5938 |
| 2025-06-01 16:00:47,758 - pyskl - INFO - Epoch [45][900/1027] lr: 1.987e-02, eta: 11:55:56, time: 0.396, data_time: 0.000, memory: 7959, top1_acc: 0.5231, top5_acc: 0.8281, loss_cls: 5.5135, loss: 5.5135 |
| 2025-06-01 16:01:27,232 - pyskl - INFO - Epoch [45][1000/1027] lr: 1.985e-02, eta: 11:55:15, time: 0.395, data_time: 0.000, memory: 7959, top1_acc: 0.5256, top5_acc: 0.8037, loss_cls: 5.5359, loss: 5.5359 |
| 2025-06-01 16:01:38,901 - pyskl - INFO - Saving checkpoint at 45 epochs |
| 2025-06-01 16:21:08,011 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 16:21:08,086 - pyskl - INFO - |
| top1_acc 0.5925 |
| top5_acc 0.8847 |
| 2025-06-01 16:21:08,086 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 16:21:08,094 - pyskl - INFO - |
| mean_acc 0.5924 |
| 2025-06-01 16:21:08,151 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_41.pth was removed |
| 2025-06-01 16:21:09,770 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_45.pth. |
| 2025-06-01 16:21:09,772 - pyskl - INFO - Best top1_acc is 0.5925 at 45 epoch. |
| 2025-06-01 16:21:09,775 - pyskl - INFO - Epoch(val) [45][413] top1_acc: 0.5925, top5_acc: 0.8847, mean_class_accuracy: 0.5924 |
| 2025-06-01 16:22:12,914 - pyskl - INFO - Epoch [46][100/1027] lr: 1.983e-02, eta: 11:54:54, time: 0.631, data_time: 0.252, memory: 7959, top1_acc: 0.5581, top5_acc: 0.8263, loss_cls: 5.4808, loss: 5.4808 |
| 2025-06-01 16:22:50,812 - pyskl - INFO - Epoch [46][200/1027] lr: 1.981e-02, eta: 11:54:10, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.8281, loss_cls: 5.4534, loss: 5.4534 |
| 2025-06-01 16:23:28,743 - pyskl - INFO - Epoch [46][300/1027] lr: 1.979e-02, eta: 11:53:26, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5463, top5_acc: 0.8163, loss_cls: 5.4674, loss: 5.4674 |
| 2025-06-01 16:24:06,688 - pyskl - INFO - Epoch [46][400/1027] lr: 1.976e-02, eta: 11:52:41, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.8013, loss_cls: 5.5021, loss: 5.5021 |
| 2025-06-01 16:24:45,196 - pyskl - INFO - Epoch [46][500/1027] lr: 1.974e-02, eta: 11:51:59, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.8150, loss_cls: 5.5883, loss: 5.5883 |
| 2025-06-01 16:25:23,467 - pyskl - INFO - Epoch [46][600/1027] lr: 1.972e-02, eta: 11:51:15, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8244, loss_cls: 5.4912, loss: 5.4912 |
| 2025-06-01 16:26:01,513 - pyskl - INFO - Epoch [46][700/1027] lr: 1.970e-02, eta: 11:50:32, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.8119, loss_cls: 5.5043, loss: 5.5043 |
| 2025-06-01 16:26:40,366 - pyskl - INFO - Epoch [46][800/1027] lr: 1.968e-02, eta: 11:49:50, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.5463, top5_acc: 0.8175, loss_cls: 5.4859, loss: 5.4859 |
| 2025-06-01 16:27:19,152 - pyskl - INFO - Epoch [46][900/1027] lr: 1.966e-02, eta: 11:49:08, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5319, top5_acc: 0.8113, loss_cls: 5.5257, loss: 5.5257 |
| 2025-06-01 16:27:57,467 - pyskl - INFO - Epoch [46][1000/1027] lr: 1.964e-02, eta: 11:48:24, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5413, top5_acc: 0.8063, loss_cls: 5.5891, loss: 5.5891 |
| 2025-06-01 16:28:08,583 - pyskl - INFO - Saving checkpoint at 46 epochs |
| 2025-06-01 16:28:45,482 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 16:28:45,557 - pyskl - INFO - |
| top1_acc 0.5866 |
| top5_acc 0.8794 |
| 2025-06-01 16:28:45,558 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 16:28:45,566 - pyskl - INFO - |
| mean_acc 0.5854 |
| 2025-06-01 16:28:45,567 - pyskl - INFO - Epoch(val) [46][413] top1_acc: 0.5866, top5_acc: 0.8794, mean_class_accuracy: 0.5854 |
| 2025-06-01 16:29:49,858 - pyskl - INFO - Epoch [47][100/1027] lr: 1.961e-02, eta: 11:48:05, time: 0.643, data_time: 0.261, memory: 7959, top1_acc: 0.5606, top5_acc: 0.8181, loss_cls: 5.4801, loss: 5.4801 |
| 2025-06-01 16:30:28,007 - pyskl - INFO - Epoch [47][200/1027] lr: 1.959e-02, eta: 11:47:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5644, top5_acc: 0.8287, loss_cls: 5.2998, loss: 5.2998 |
| 2025-06-01 16:31:06,133 - pyskl - INFO - Epoch [47][300/1027] lr: 1.957e-02, eta: 11:46:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.8131, loss_cls: 5.4142, loss: 5.4142 |
| 2025-06-01 16:31:44,573 - pyskl - INFO - Epoch [47][400/1027] lr: 1.955e-02, eta: 11:45:55, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5156, top5_acc: 0.7925, loss_cls: 5.6741, loss: 5.6741 |
| 2025-06-01 16:32:23,424 - pyskl - INFO - Epoch [47][500/1027] lr: 1.953e-02, eta: 11:45:13, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.8213, loss_cls: 5.4185, loss: 5.4185 |
| 2025-06-01 16:33:02,433 - pyskl - INFO - Epoch [47][600/1027] lr: 1.951e-02, eta: 11:44:31, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.5419, top5_acc: 0.8156, loss_cls: 5.4017, loss: 5.4017 |
| 2025-06-01 16:33:40,478 - pyskl - INFO - Epoch [47][700/1027] lr: 1.949e-02, eta: 11:43:48, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8269, loss_cls: 5.4422, loss: 5.4422 |
| 2025-06-01 16:34:18,830 - pyskl - INFO - Epoch [47][800/1027] lr: 1.947e-02, eta: 11:43:05, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5506, top5_acc: 0.8137, loss_cls: 5.4049, loss: 5.4049 |
| 2025-06-01 16:34:57,776 - pyskl - INFO - Epoch [47][900/1027] lr: 1.944e-02, eta: 11:42:23, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.8044, loss_cls: 5.6421, loss: 5.6421 |
| 2025-06-01 16:35:37,812 - pyskl - INFO - Epoch [47][1000/1027] lr: 1.942e-02, eta: 11:41:44, time: 0.400, data_time: 0.000, memory: 7959, top1_acc: 0.5306, top5_acc: 0.8125, loss_cls: 5.5367, loss: 5.5367 |
| 2025-06-01 16:35:49,615 - pyskl - INFO - Saving checkpoint at 47 epochs |
| 2025-06-01 16:36:26,221 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 16:36:26,293 - pyskl - INFO - |
| top1_acc 0.5877 |
| top5_acc 0.8857 |
| 2025-06-01 16:36:26,293 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 16:36:26,300 - pyskl - INFO - |
| mean_acc 0.5812 |
| 2025-06-01 16:36:26,302 - pyskl - INFO - Epoch(val) [47][413] top1_acc: 0.5877, top5_acc: 0.8857, mean_class_accuracy: 0.5812 |
| 2025-06-01 16:37:32,304 - pyskl - INFO - Epoch [48][100/1027] lr: 1.940e-02, eta: 11:41:27, time: 0.660, data_time: 0.259, memory: 7959, top1_acc: 0.5600, top5_acc: 0.8287, loss_cls: 5.3708, loss: 5.3708 |
| 2025-06-01 16:38:12,254 - pyskl - INFO - Epoch [48][200/1027] lr: 1.938e-02, eta: 11:40:48, time: 0.399, data_time: 0.000, memory: 7959, top1_acc: 0.5356, top5_acc: 0.8287, loss_cls: 5.4562, loss: 5.4562 |
| 2025-06-01 16:38:52,174 - pyskl - INFO - Epoch [48][300/1027] lr: 1.935e-02, eta: 11:40:08, time: 0.399, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8344, loss_cls: 5.3561, loss: 5.3561 |
| 2025-06-01 16:39:31,059 - pyskl - INFO - Epoch [48][400/1027] lr: 1.933e-02, eta: 11:39:26, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8281, loss_cls: 5.3757, loss: 5.3757 |
| 2025-06-01 16:40:10,202 - pyskl - INFO - Epoch [48][500/1027] lr: 1.931e-02, eta: 11:38:45, time: 0.391, data_time: 0.000, memory: 7959, top1_acc: 0.5444, top5_acc: 0.8106, loss_cls: 5.4665, loss: 5.4665 |
| 2025-06-01 16:40:48,706 - pyskl - INFO - Epoch [48][600/1027] lr: 1.929e-02, eta: 11:38:02, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5581, top5_acc: 0.8269, loss_cls: 5.4387, loss: 5.4387 |
| 2025-06-01 16:41:26,702 - pyskl - INFO - Epoch [48][700/1027] lr: 1.927e-02, eta: 11:37:18, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.8213, loss_cls: 5.4988, loss: 5.4988 |
| 2025-06-01 16:42:05,219 - pyskl - INFO - Epoch [48][800/1027] lr: 1.925e-02, eta: 11:36:36, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5513, top5_acc: 0.8281, loss_cls: 5.4286, loss: 5.4286 |
| 2025-06-01 16:42:43,465 - pyskl - INFO - Epoch [48][900/1027] lr: 1.923e-02, eta: 11:35:53, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8094, loss_cls: 5.4923, loss: 5.4923 |
| 2025-06-01 16:43:21,569 - pyskl - INFO - Epoch [48][1000/1027] lr: 1.920e-02, eta: 11:35:09, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5094, top5_acc: 0.8125, loss_cls: 5.6137, loss: 5.6137 |
| 2025-06-01 16:43:32,804 - pyskl - INFO - Saving checkpoint at 48 epochs |
| 2025-06-01 16:44:09,383 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 16:44:09,454 - pyskl - INFO - |
| top1_acc 0.5666 |
| top5_acc 0.8745 |
| 2025-06-01 16:44:09,455 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 16:44:09,463 - pyskl - INFO - |
| mean_acc 0.5606 |
| 2025-06-01 16:44:09,465 - pyskl - INFO - Epoch(val) [48][413] top1_acc: 0.5666, top5_acc: 0.8745, mean_class_accuracy: 0.5606 |
| 2025-06-01 16:45:11,903 - pyskl - INFO - Epoch [49][100/1027] lr: 1.918e-02, eta: 11:34:44, time: 0.624, data_time: 0.249, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8319, loss_cls: 5.3808, loss: 5.3808 |
| 2025-06-01 16:45:49,422 - pyskl - INFO - Epoch [49][200/1027] lr: 1.915e-02, eta: 11:33:59, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8225, loss_cls: 5.4590, loss: 5.4590 |
| 2025-06-01 16:46:26,977 - pyskl - INFO - Epoch [49][300/1027] lr: 1.913e-02, eta: 11:33:14, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8387, loss_cls: 5.2529, loss: 5.2529 |
| 2025-06-01 16:47:05,692 - pyskl - INFO - Epoch [49][400/1027] lr: 1.911e-02, eta: 11:32:32, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5319, top5_acc: 0.8131, loss_cls: 5.4030, loss: 5.4030 |
| 2025-06-01 16:47:44,230 - pyskl - INFO - Epoch [49][500/1027] lr: 1.909e-02, eta: 11:31:50, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8206, loss_cls: 5.4312, loss: 5.4312 |
| 2025-06-01 16:48:22,811 - pyskl - INFO - Epoch [49][600/1027] lr: 1.907e-02, eta: 11:31:07, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5469, top5_acc: 0.8175, loss_cls: 5.5606, loss: 5.5606 |
| 2025-06-01 16:49:00,835 - pyskl - INFO - Epoch [49][700/1027] lr: 1.905e-02, eta: 11:30:24, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8237, loss_cls: 5.5319, loss: 5.5319 |
| 2025-06-01 16:49:39,511 - pyskl - INFO - Epoch [49][800/1027] lr: 1.902e-02, eta: 11:29:42, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8331, loss_cls: 5.4483, loss: 5.4483 |
| 2025-06-01 16:50:17,890 - pyskl - INFO - Epoch [49][900/1027] lr: 1.900e-02, eta: 11:28:59, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5556, top5_acc: 0.8194, loss_cls: 5.4356, loss: 5.4356 |
| 2025-06-01 16:50:55,980 - pyskl - INFO - Epoch [49][1000/1027] lr: 1.898e-02, eta: 11:28:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5394, top5_acc: 0.8169, loss_cls: 5.4266, loss: 5.4266 |
| 2025-06-01 16:51:07,367 - pyskl - INFO - Saving checkpoint at 49 epochs |
| 2025-06-01 16:51:44,218 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 16:51:44,290 - pyskl - INFO - |
| top1_acc 0.5845 |
| top5_acc 0.8829 |
| 2025-06-01 16:51:44,290 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 16:51:44,298 - pyskl - INFO - |
| mean_acc 0.5758 |
| 2025-06-01 16:51:44,299 - pyskl - INFO - Epoch(val) [49][413] top1_acc: 0.5845, top5_acc: 0.8829, mean_class_accuracy: 0.5758 |
| 2025-06-01 16:52:47,641 - pyskl - INFO - Epoch [50][100/1027] lr: 1.895e-02, eta: 11:27:51, time: 0.633, data_time: 0.253, memory: 7959, top1_acc: 0.5737, top5_acc: 0.8462, loss_cls: 5.3830, loss: 5.3830 |
| 2025-06-01 16:53:25,679 - pyskl - INFO - Epoch [50][200/1027] lr: 1.893e-02, eta: 11:27:08, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8469, loss_cls: 5.2670, loss: 5.2670 |
| 2025-06-01 16:54:03,760 - pyskl - INFO - Epoch [50][300/1027] lr: 1.891e-02, eta: 11:26:24, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5519, top5_acc: 0.8063, loss_cls: 5.4962, loss: 5.4962 |
| 2025-06-01 16:54:42,251 - pyskl - INFO - Epoch [50][400/1027] lr: 1.889e-02, eta: 11:25:42, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5450, top5_acc: 0.8206, loss_cls: 5.5097, loss: 5.5097 |
| 2025-06-01 16:55:20,708 - pyskl - INFO - Epoch [50][500/1027] lr: 1.887e-02, eta: 11:24:59, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.8137, loss_cls: 5.4601, loss: 5.4601 |
| 2025-06-01 16:55:58,768 - pyskl - INFO - Epoch [50][600/1027] lr: 1.884e-02, eta: 11:24:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5619, top5_acc: 0.8325, loss_cls: 5.3393, loss: 5.3393 |
| 2025-06-01 16:56:36,606 - pyskl - INFO - Epoch [50][700/1027] lr: 1.882e-02, eta: 11:23:32, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5575, top5_acc: 0.8175, loss_cls: 5.4948, loss: 5.4948 |
| 2025-06-01 16:57:14,585 - pyskl - INFO - Epoch [50][800/1027] lr: 1.880e-02, eta: 11:22:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8381, loss_cls: 5.4386, loss: 5.4386 |
| 2025-06-01 16:57:52,148 - pyskl - INFO - Epoch [50][900/1027] lr: 1.878e-02, eta: 11:22:04, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5437, top5_acc: 0.8169, loss_cls: 5.4728, loss: 5.4728 |
| 2025-06-01 16:58:29,718 - pyskl - INFO - Epoch [50][1000/1027] lr: 1.876e-02, eta: 11:21:20, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5288, top5_acc: 0.8300, loss_cls: 5.4212, loss: 5.4212 |
| 2025-06-01 16:58:40,887 - pyskl - INFO - Saving checkpoint at 50 epochs |
| 2025-06-01 17:19:39,712 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 17:19:39,782 - pyskl - INFO - |
| top1_acc 0.5640 |
| top5_acc 0.8763 |
| 2025-06-01 17:19:39,783 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 17:19:39,790 - pyskl - INFO - |
| mean_acc 0.5572 |
| 2025-06-01 17:19:39,792 - pyskl - INFO - Epoch(val) [50][413] top1_acc: 0.5640, top5_acc: 0.8763, mean_class_accuracy: 0.5572 |
| 2025-06-01 17:20:43,230 - pyskl - INFO - Epoch [51][100/1027] lr: 1.873e-02, eta: 11:20:55, time: 0.634, data_time: 0.255, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8425, loss_cls: 5.2913, loss: 5.2913 |
| 2025-06-01 17:21:21,534 - pyskl - INFO - Epoch [51][200/1027] lr: 1.871e-02, eta: 11:20:12, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5906, top5_acc: 0.8581, loss_cls: 5.1676, loss: 5.1676 |
| 2025-06-01 17:21:59,923 - pyskl - INFO - Epoch [51][300/1027] lr: 1.868e-02, eta: 11:19:30, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5731, top5_acc: 0.8369, loss_cls: 5.3192, loss: 5.3192 |
| 2025-06-01 17:22:38,598 - pyskl - INFO - Epoch [51][400/1027] lr: 1.866e-02, eta: 11:18:48, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5400, top5_acc: 0.8081, loss_cls: 5.5734, loss: 5.5734 |
| 2025-06-01 17:23:16,884 - pyskl - INFO - Epoch [51][500/1027] lr: 1.864e-02, eta: 11:18:05, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8213, loss_cls: 5.4029, loss: 5.4029 |
| 2025-06-01 17:23:55,067 - pyskl - INFO - Epoch [51][600/1027] lr: 1.862e-02, eta: 11:17:22, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5375, top5_acc: 0.8106, loss_cls: 5.4951, loss: 5.4951 |
| 2025-06-01 17:24:33,141 - pyskl - INFO - Epoch [51][700/1027] lr: 1.860e-02, eta: 11:16:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5875, top5_acc: 0.8356, loss_cls: 5.1406, loss: 5.1406 |
| 2025-06-01 17:25:11,721 - pyskl - INFO - Epoch [51][800/1027] lr: 1.857e-02, eta: 11:15:56, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5513, top5_acc: 0.8081, loss_cls: 5.4976, loss: 5.4976 |
| 2025-06-01 17:25:50,021 - pyskl - INFO - Epoch [51][900/1027] lr: 1.855e-02, eta: 11:15:14, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8187, loss_cls: 5.4747, loss: 5.4747 |
| 2025-06-01 17:26:28,019 - pyskl - INFO - Epoch [51][1000/1027] lr: 1.853e-02, eta: 11:14:30, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5138, top5_acc: 0.8113, loss_cls: 5.4725, loss: 5.4725 |
| 2025-06-01 17:26:39,033 - pyskl - INFO - Saving checkpoint at 51 epochs |
| 2025-06-01 17:27:16,042 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 17:27:16,113 - pyskl - INFO - |
| top1_acc 0.5975 |
| top5_acc 0.8970 |
| 2025-06-01 17:27:16,113 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 17:27:16,121 - pyskl - INFO - |
| mean_acc 0.5935 |
| 2025-06-01 17:27:16,179 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_45.pth was removed |
| 2025-06-01 17:27:17,708 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_51.pth. |
| 2025-06-01 17:27:17,710 - pyskl - INFO - Best top1_acc is 0.5975 at 51 epoch. |
| 2025-06-01 17:27:17,714 - pyskl - INFO - Epoch(val) [51][413] top1_acc: 0.5975, top5_acc: 0.8970, mean_class_accuracy: 0.5935 |
| 2025-06-01 17:28:21,181 - pyskl - INFO - Epoch [52][100/1027] lr: 1.850e-02, eta: 11:14:05, time: 0.635, data_time: 0.252, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8375, loss_cls: 5.4099, loss: 5.4099 |
| 2025-06-01 17:28:59,725 - pyskl - INFO - Epoch [52][200/1027] lr: 1.848e-02, eta: 11:13:23, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5950, top5_acc: 0.8469, loss_cls: 5.1983, loss: 5.1983 |
| 2025-06-01 17:29:38,877 - pyskl - INFO - Epoch [52][300/1027] lr: 1.846e-02, eta: 11:12:42, time: 0.392, data_time: 0.000, memory: 7959, top1_acc: 0.5625, top5_acc: 0.8281, loss_cls: 5.3676, loss: 5.3676 |
| 2025-06-01 17:30:17,502 - pyskl - INFO - Epoch [52][400/1027] lr: 1.843e-02, eta: 11:11:59, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5681, top5_acc: 0.8319, loss_cls: 5.3903, loss: 5.3903 |
| 2025-06-01 17:30:55,793 - pyskl - INFO - Epoch [52][500/1027] lr: 1.841e-02, eta: 11:11:17, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5694, top5_acc: 0.8325, loss_cls: 5.2598, loss: 5.2598 |
| 2025-06-01 17:31:34,639 - pyskl - INFO - Epoch [52][600/1027] lr: 1.839e-02, eta: 11:10:35, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5306, top5_acc: 0.8225, loss_cls: 5.4261, loss: 5.4261 |
| 2025-06-01 17:32:12,874 - pyskl - INFO - Epoch [52][700/1027] lr: 1.837e-02, eta: 11:09:52, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5625, top5_acc: 0.8275, loss_cls: 5.3645, loss: 5.3645 |
| 2025-06-01 17:32:52,131 - pyskl - INFO - Epoch [52][800/1027] lr: 1.834e-02, eta: 11:09:11, time: 0.393, data_time: 0.000, memory: 7959, top1_acc: 0.5556, top5_acc: 0.8387, loss_cls: 5.3999, loss: 5.3999 |
| 2025-06-01 17:33:31,653 - pyskl - INFO - Epoch [52][900/1027] lr: 1.832e-02, eta: 11:08:31, time: 0.395, data_time: 0.000, memory: 7959, top1_acc: 0.5800, top5_acc: 0.8294, loss_cls: 5.3984, loss: 5.3984 |
| 2025-06-01 17:34:11,901 - pyskl - INFO - Epoch [52][1000/1027] lr: 1.830e-02, eta: 11:07:52, time: 0.402, data_time: 0.000, memory: 7959, top1_acc: 0.5262, top5_acc: 0.8175, loss_cls: 5.4630, loss: 5.4630 |
| 2025-06-01 17:34:23,612 - pyskl - INFO - Saving checkpoint at 52 epochs |
| 2025-06-01 17:35:00,348 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 17:35:00,423 - pyskl - INFO - |
| top1_acc 0.6096 |
| top5_acc 0.8941 |
| 2025-06-01 17:35:00,423 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 17:35:00,433 - pyskl - INFO - |
| mean_acc 0.6073 |
| 2025-06-01 17:35:00,490 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_51.pth was removed |
| 2025-06-01 17:35:02,102 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth. |
| 2025-06-01 17:35:02,104 - pyskl - INFO - Best top1_acc is 0.6096 at 52 epoch. |
| 2025-06-01 17:35:02,107 - pyskl - INFO - Epoch(val) [52][413] top1_acc: 0.6096, top5_acc: 0.8941, mean_class_accuracy: 0.6073 |
| 2025-06-01 17:36:05,832 - pyskl - INFO - Epoch [53][100/1027] lr: 1.827e-02, eta: 11:07:26, time: 0.637, data_time: 0.254, memory: 7959, top1_acc: 0.5813, top5_acc: 0.8406, loss_cls: 5.2996, loss: 5.2996 |
| 2025-06-01 17:36:44,276 - pyskl - INFO - Epoch [53][200/1027] lr: 1.825e-02, eta: 11:06:44, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8350, loss_cls: 5.2920, loss: 5.2920 |
| 2025-06-01 17:37:22,457 - pyskl - INFO - Epoch [53][300/1027] lr: 1.822e-02, eta: 11:06:01, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8375, loss_cls: 5.3921, loss: 5.3921 |
| 2025-06-01 17:38:01,116 - pyskl - INFO - Epoch [53][400/1027] lr: 1.820e-02, eta: 11:05:19, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8512, loss_cls: 5.2899, loss: 5.2899 |
| 2025-06-01 17:38:39,241 - pyskl - INFO - Epoch [53][500/1027] lr: 1.818e-02, eta: 11:04:36, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5613, top5_acc: 0.8263, loss_cls: 5.4140, loss: 5.4140 |
| 2025-06-01 17:39:17,476 - pyskl - INFO - Epoch [53][600/1027] lr: 1.816e-02, eta: 11:03:53, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5537, top5_acc: 0.8269, loss_cls: 5.3443, loss: 5.3443 |
| 2025-06-01 17:39:55,764 - pyskl - INFO - Epoch [53][700/1027] lr: 1.813e-02, eta: 11:03:11, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5519, top5_acc: 0.8350, loss_cls: 5.3113, loss: 5.3113 |
| 2025-06-01 17:40:34,195 - pyskl - INFO - Epoch [53][800/1027] lr: 1.811e-02, eta: 11:02:28, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5681, top5_acc: 0.8344, loss_cls: 5.2701, loss: 5.2701 |
| 2025-06-01 17:41:12,353 - pyskl - INFO - Epoch [53][900/1027] lr: 1.809e-02, eta: 11:01:45, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.8169, loss_cls: 5.5604, loss: 5.5604 |
| 2025-06-01 17:41:50,455 - pyskl - INFO - Epoch [53][1000/1027] lr: 1.806e-02, eta: 11:01:02, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5444, top5_acc: 0.8263, loss_cls: 5.4637, loss: 5.4637 |
| 2025-06-01 17:42:01,591 - pyskl - INFO - Saving checkpoint at 53 epochs |
| 2025-06-01 17:42:38,533 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 17:42:38,606 - pyskl - INFO - |
| top1_acc 0.6015 |
| top5_acc 0.8850 |
| 2025-06-01 17:42:38,606 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 17:42:38,614 - pyskl - INFO - |
| mean_acc 0.6009 |
| 2025-06-01 17:42:38,615 - pyskl - INFO - Epoch(val) [53][413] top1_acc: 0.6015, top5_acc: 0.8850, mean_class_accuracy: 0.6009 |
| 2025-06-01 17:43:42,803 - pyskl - INFO - Epoch [54][100/1027] lr: 1.804e-02, eta: 11:00:37, time: 0.642, data_time: 0.260, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8406, loss_cls: 5.2075, loss: 5.2075 |
| 2025-06-01 17:44:21,130 - pyskl - INFO - Epoch [54][200/1027] lr: 1.801e-02, eta: 10:59:54, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5813, top5_acc: 0.8438, loss_cls: 5.2461, loss: 5.2461 |
| 2025-06-01 17:44:59,718 - pyskl - INFO - Epoch [54][300/1027] lr: 1.799e-02, eta: 10:59:12, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8431, loss_cls: 5.3326, loss: 5.3326 |
| 2025-06-01 17:45:38,208 - pyskl - INFO - Epoch [54][400/1027] lr: 1.797e-02, eta: 10:58:30, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5537, top5_acc: 0.8263, loss_cls: 5.4208, loss: 5.4208 |
| 2025-06-01 17:46:16,519 - pyskl - INFO - Epoch [54][500/1027] lr: 1.794e-02, eta: 10:57:47, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8369, loss_cls: 5.1882, loss: 5.1882 |
| 2025-06-01 17:46:54,652 - pyskl - INFO - Epoch [54][600/1027] lr: 1.792e-02, eta: 10:57:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5675, top5_acc: 0.8350, loss_cls: 5.3069, loss: 5.3069 |
| 2025-06-01 17:47:32,875 - pyskl - INFO - Epoch [54][700/1027] lr: 1.790e-02, eta: 10:56:22, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5425, top5_acc: 0.8350, loss_cls: 5.4321, loss: 5.4321 |
| 2025-06-01 17:48:11,549 - pyskl - INFO - Epoch [54][800/1027] lr: 1.787e-02, eta: 10:55:40, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8281, loss_cls: 5.4564, loss: 5.4564 |
| 2025-06-01 17:48:49,763 - pyskl - INFO - Epoch [54][900/1027] lr: 1.785e-02, eta: 10:54:57, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5506, top5_acc: 0.8169, loss_cls: 5.3865, loss: 5.3865 |
| 2025-06-01 17:49:27,859 - pyskl - INFO - Epoch [54][1000/1027] lr: 1.783e-02, eta: 10:54:14, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5425, top5_acc: 0.8337, loss_cls: 5.4338, loss: 5.4338 |
| 2025-06-01 17:49:39,156 - pyskl - INFO - Saving checkpoint at 54 epochs |
| 2025-06-01 17:50:15,905 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 17:50:15,981 - pyskl - INFO - |
| top1_acc 0.5808 |
| top5_acc 0.8739 |
| 2025-06-01 17:50:15,981 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 17:50:15,989 - pyskl - INFO - |
| mean_acc 0.5798 |
| 2025-06-01 17:50:15,991 - pyskl - INFO - Epoch(val) [54][413] top1_acc: 0.5808, top5_acc: 0.8739, mean_class_accuracy: 0.5798 |
| 2025-06-01 17:51:19,733 - pyskl - INFO - Epoch [55][100/1027] lr: 1.780e-02, eta: 10:53:47, time: 0.637, data_time: 0.254, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8519, loss_cls: 5.2017, loss: 5.2017 |
| 2025-06-01 17:51:58,133 - pyskl - INFO - Epoch [55][200/1027] lr: 1.778e-02, eta: 10:53:05, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6075, top5_acc: 0.8550, loss_cls: 5.0593, loss: 5.0593 |
| 2025-06-01 17:52:37,264 - pyskl - INFO - Epoch [55][300/1027] lr: 1.775e-02, eta: 10:52:24, time: 0.391, data_time: 0.000, memory: 7959, top1_acc: 0.5787, top5_acc: 0.8300, loss_cls: 5.2412, loss: 5.2412 |
| 2025-06-01 17:53:15,156 - pyskl - INFO - Epoch [55][400/1027] lr: 1.773e-02, eta: 10:51:41, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5863, top5_acc: 0.8325, loss_cls: 5.2216, loss: 5.2216 |
| 2025-06-01 17:53:52,765 - pyskl - INFO - Epoch [55][500/1027] lr: 1.771e-02, eta: 10:50:57, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5719, top5_acc: 0.8200, loss_cls: 5.3295, loss: 5.3295 |
| 2025-06-01 17:54:30,087 - pyskl - INFO - Epoch [55][600/1027] lr: 1.768e-02, eta: 10:50:13, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5706, top5_acc: 0.8369, loss_cls: 5.3100, loss: 5.3100 |
| 2025-06-01 17:55:07,753 - pyskl - INFO - Epoch [55][700/1027] lr: 1.766e-02, eta: 10:49:29, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8231, loss_cls: 5.3795, loss: 5.3795 |
| 2025-06-01 17:55:45,316 - pyskl - INFO - Epoch [55][800/1027] lr: 1.764e-02, eta: 10:48:46, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5594, top5_acc: 0.8275, loss_cls: 5.3675, loss: 5.3675 |
| 2025-06-01 17:56:22,395 - pyskl - INFO - Epoch [55][900/1027] lr: 1.761e-02, eta: 10:48:01, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5500, top5_acc: 0.8263, loss_cls: 5.5012, loss: 5.5012 |
| 2025-06-01 17:56:59,687 - pyskl - INFO - Epoch [55][1000/1027] lr: 1.759e-02, eta: 10:47:17, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8413, loss_cls: 5.4585, loss: 5.4585 |
| 2025-06-01 17:57:10,677 - pyskl - INFO - Saving checkpoint at 55 epochs |
| 2025-06-01 18:17:01,177 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 18:17:01,249 - pyskl - INFO - |
| top1_acc 0.6171 |
| top5_acc 0.8897 |
| 2025-06-01 18:17:01,249 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 18:17:01,257 - pyskl - INFO - |
| mean_acc 0.6129 |
| 2025-06-01 18:17:01,317 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_52.pth was removed |
| 2025-06-01 18:17:02,897 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_55.pth. |
| 2025-06-01 18:17:02,898 - pyskl - INFO - Best top1_acc is 0.6171 at 55 epoch. |
| 2025-06-01 18:17:02,901 - pyskl - INFO - Epoch(val) [55][413] top1_acc: 0.6171, top5_acc: 0.8897, mean_class_accuracy: 0.6129 |
| 2025-06-01 18:18:05,700 - pyskl - INFO - Epoch [56][100/1027] lr: 1.756e-02, eta: 10:46:47, time: 0.628, data_time: 0.249, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8525, loss_cls: 5.1506, loss: 5.1506 |
| 2025-06-01 18:18:43,731 - pyskl - INFO - Epoch [56][200/1027] lr: 1.754e-02, eta: 10:46:05, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5675, top5_acc: 0.8419, loss_cls: 5.3189, loss: 5.3189 |
| 2025-06-01 18:19:22,568 - pyskl - INFO - Epoch [56][300/1027] lr: 1.751e-02, eta: 10:45:23, time: 0.388, data_time: 0.001, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8562, loss_cls: 5.2116, loss: 5.2116 |
| 2025-06-01 18:20:01,023 - pyskl - INFO - Epoch [56][400/1027] lr: 1.749e-02, eta: 10:44:41, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5875, top5_acc: 0.8413, loss_cls: 5.1455, loss: 5.1455 |
| 2025-06-01 18:20:39,231 - pyskl - INFO - Epoch [56][500/1027] lr: 1.747e-02, eta: 10:43:58, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8387, loss_cls: 5.2642, loss: 5.2642 |
| 2025-06-01 18:21:17,545 - pyskl - INFO - Epoch [56][600/1027] lr: 1.744e-02, eta: 10:43:16, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5669, top5_acc: 0.8219, loss_cls: 5.3225, loss: 5.3225 |
| 2025-06-01 18:21:55,905 - pyskl - INFO - Epoch [56][700/1027] lr: 1.742e-02, eta: 10:42:34, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5387, top5_acc: 0.8244, loss_cls: 5.5000, loss: 5.5000 |
| 2025-06-01 18:22:34,145 - pyskl - INFO - Epoch [56][800/1027] lr: 1.740e-02, eta: 10:41:51, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5594, top5_acc: 0.8213, loss_cls: 5.3492, loss: 5.3492 |
| 2025-06-01 18:23:12,350 - pyskl - INFO - Epoch [56][900/1027] lr: 1.737e-02, eta: 10:41:09, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8375, loss_cls: 5.2038, loss: 5.2038 |
| 2025-06-01 18:23:50,365 - pyskl - INFO - Epoch [56][1000/1027] lr: 1.735e-02, eta: 10:40:26, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5550, top5_acc: 0.8156, loss_cls: 5.3845, loss: 5.3845 |
| 2025-06-01 18:24:01,577 - pyskl - INFO - Saving checkpoint at 56 epochs |
| 2025-06-01 18:24:38,166 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 18:24:38,237 - pyskl - INFO - |
| top1_acc 0.5525 |
| top5_acc 0.8745 |
| 2025-06-01 18:24:38,237 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 18:24:38,244 - pyskl - INFO - |
| mean_acc 0.5512 |
| 2025-06-01 18:24:38,246 - pyskl - INFO - Epoch(val) [56][413] top1_acc: 0.5525, top5_acc: 0.8745, mean_class_accuracy: 0.5512 |
| 2025-06-01 18:25:41,195 - pyskl - INFO - Epoch [57][100/1027] lr: 1.732e-02, eta: 10:39:56, time: 0.629, data_time: 0.248, memory: 7959, top1_acc: 0.5981, top5_acc: 0.8650, loss_cls: 5.0649, loss: 5.0649 |
| 2025-06-01 18:26:20,683 - pyskl - INFO - Epoch [57][200/1027] lr: 1.730e-02, eta: 10:39:16, time: 0.395, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8562, loss_cls: 5.0966, loss: 5.0966 |
| 2025-06-01 18:26:59,447 - pyskl - INFO - Epoch [57][300/1027] lr: 1.727e-02, eta: 10:38:34, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8456, loss_cls: 5.1712, loss: 5.1712 |
| 2025-06-01 18:27:37,879 - pyskl - INFO - Epoch [57][400/1027] lr: 1.725e-02, eta: 10:37:52, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5625, top5_acc: 0.8256, loss_cls: 5.3963, loss: 5.3963 |
| 2025-06-01 18:28:17,730 - pyskl - INFO - Epoch [57][500/1027] lr: 1.723e-02, eta: 10:37:12, time: 0.398, data_time: 0.000, memory: 7959, top1_acc: 0.5550, top5_acc: 0.8269, loss_cls: 5.2216, loss: 5.2216 |
| 2025-06-01 18:28:56,026 - pyskl - INFO - Epoch [57][600/1027] lr: 1.720e-02, eta: 10:36:30, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5794, top5_acc: 0.8444, loss_cls: 5.2316, loss: 5.2316 |
| 2025-06-01 18:29:34,350 - pyskl - INFO - Epoch [57][700/1027] lr: 1.718e-02, eta: 10:35:48, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8375, loss_cls: 5.3401, loss: 5.3401 |
| 2025-06-01 18:30:13,919 - pyskl - INFO - Epoch [57][800/1027] lr: 1.716e-02, eta: 10:35:08, time: 0.396, data_time: 0.000, memory: 7959, top1_acc: 0.5769, top5_acc: 0.8344, loss_cls: 5.2731, loss: 5.2731 |
| 2025-06-01 18:30:51,953 - pyskl - INFO - Epoch [57][900/1027] lr: 1.713e-02, eta: 10:34:25, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8356, loss_cls: 5.2770, loss: 5.2770 |
| 2025-06-01 18:31:30,065 - pyskl - INFO - Epoch [57][1000/1027] lr: 1.711e-02, eta: 10:33:42, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5619, top5_acc: 0.8213, loss_cls: 5.3548, loss: 5.3548 |
| 2025-06-01 18:31:41,090 - pyskl - INFO - Saving checkpoint at 57 epochs |
| 2025-06-01 18:32:17,631 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 18:32:17,703 - pyskl - INFO - |
| top1_acc 0.6266 |
| top5_acc 0.8941 |
| 2025-06-01 18:32:17,704 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 18:32:17,711 - pyskl - INFO - |
| mean_acc 0.6209 |
| 2025-06-01 18:32:17,771 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_55.pth was removed |
| 2025-06-01 18:32:19,252 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_57.pth. |
| 2025-06-01 18:32:19,254 - pyskl - INFO - Best top1_acc is 0.6266 at 57 epoch. |
| 2025-06-01 18:32:19,257 - pyskl - INFO - Epoch(val) [57][413] top1_acc: 0.6266, top5_acc: 0.8941, mean_class_accuracy: 0.6209 |
| 2025-06-01 18:33:21,902 - pyskl - INFO - Epoch [58][100/1027] lr: 1.708e-02, eta: 10:33:12, time: 0.626, data_time: 0.245, memory: 7959, top1_acc: 0.5856, top5_acc: 0.8469, loss_cls: 5.1808, loss: 5.1808 |
| 2025-06-01 18:34:00,242 - pyskl - INFO - Epoch [58][200/1027] lr: 1.705e-02, eta: 10:32:29, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8600, loss_cls: 5.0858, loss: 5.0858 |
| 2025-06-01 18:34:39,023 - pyskl - INFO - Epoch [58][300/1027] lr: 1.703e-02, eta: 10:31:48, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8363, loss_cls: 5.1910, loss: 5.1910 |
| 2025-06-01 18:35:17,573 - pyskl - INFO - Epoch [58][400/1027] lr: 1.701e-02, eta: 10:31:06, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5813, top5_acc: 0.8506, loss_cls: 5.1947, loss: 5.1947 |
| 2025-06-01 18:35:55,473 - pyskl - INFO - Epoch [58][500/1027] lr: 1.698e-02, eta: 10:30:23, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5669, top5_acc: 0.8287, loss_cls: 5.3376, loss: 5.3376 |
| 2025-06-01 18:36:34,054 - pyskl - INFO - Epoch [58][600/1027] lr: 1.696e-02, eta: 10:29:41, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6031, top5_acc: 0.8519, loss_cls: 5.1684, loss: 5.1684 |
| 2025-06-01 18:37:12,208 - pyskl - INFO - Epoch [58][700/1027] lr: 1.694e-02, eta: 10:28:59, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8425, loss_cls: 5.2007, loss: 5.2007 |
| 2025-06-01 18:37:50,827 - pyskl - INFO - Epoch [58][800/1027] lr: 1.691e-02, eta: 10:28:17, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5550, top5_acc: 0.8300, loss_cls: 5.3397, loss: 5.3397 |
| 2025-06-01 18:38:28,859 - pyskl - INFO - Epoch [58][900/1027] lr: 1.689e-02, eta: 10:27:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8331, loss_cls: 5.2329, loss: 5.2329 |
| 2025-06-01 18:39:06,855 - pyskl - INFO - Epoch [58][1000/1027] lr: 1.686e-02, eta: 10:26:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5519, top5_acc: 0.8331, loss_cls: 5.3896, loss: 5.3896 |
| 2025-06-01 18:39:17,838 - pyskl - INFO - Saving checkpoint at 58 epochs |
| 2025-06-01 18:39:54,813 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 18:39:54,885 - pyskl - INFO - |
| top1_acc 0.6192 |
| top5_acc 0.9009 |
| 2025-06-01 18:39:54,885 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 18:39:54,893 - pyskl - INFO - |
| mean_acc 0.6135 |
| 2025-06-01 18:39:54,895 - pyskl - INFO - Epoch(val) [58][413] top1_acc: 0.6192, top5_acc: 0.9009, mean_class_accuracy: 0.6135 |
| 2025-06-01 18:40:58,767 - pyskl - INFO - Epoch [59][100/1027] lr: 1.683e-02, eta: 10:26:22, time: 0.639, data_time: 0.257, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8562, loss_cls: 5.1360, loss: 5.1360 |
| 2025-06-01 18:41:37,198 - pyskl - INFO - Epoch [59][200/1027] lr: 1.681e-02, eta: 10:25:40, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5956, top5_acc: 0.8700, loss_cls: 4.9612, loss: 4.9612 |
| 2025-06-01 18:42:15,660 - pyskl - INFO - Epoch [59][300/1027] lr: 1.679e-02, eta: 10:24:58, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5675, top5_acc: 0.8394, loss_cls: 5.3566, loss: 5.3566 |
| 2025-06-01 18:42:54,025 - pyskl - INFO - Epoch [59][400/1027] lr: 1.676e-02, eta: 10:24:16, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5844, top5_acc: 0.8438, loss_cls: 5.2042, loss: 5.2042 |
| 2025-06-01 18:43:32,112 - pyskl - INFO - Epoch [59][500/1027] lr: 1.674e-02, eta: 10:23:34, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5781, top5_acc: 0.8356, loss_cls: 5.2563, loss: 5.2563 |
| 2025-06-01 18:44:10,105 - pyskl - INFO - Epoch [59][600/1027] lr: 1.671e-02, eta: 10:22:51, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5844, top5_acc: 0.8488, loss_cls: 5.2960, loss: 5.2960 |
| 2025-06-01 18:44:48,214 - pyskl - INFO - Epoch [59][700/1027] lr: 1.669e-02, eta: 10:22:09, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5806, top5_acc: 0.8500, loss_cls: 5.1544, loss: 5.1544 |
| 2025-06-01 18:45:26,475 - pyskl - INFO - Epoch [59][800/1027] lr: 1.667e-02, eta: 10:21:27, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5731, top5_acc: 0.8300, loss_cls: 5.4553, loss: 5.4553 |
| 2025-06-01 18:46:04,491 - pyskl - INFO - Epoch [59][900/1027] lr: 1.664e-02, eta: 10:20:44, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5850, top5_acc: 0.8369, loss_cls: 5.2813, loss: 5.2813 |
| 2025-06-01 18:46:42,444 - pyskl - INFO - Epoch [59][1000/1027] lr: 1.662e-02, eta: 10:20:01, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5737, top5_acc: 0.8337, loss_cls: 5.2844, loss: 5.2844 |
| 2025-06-01 18:46:53,471 - pyskl - INFO - Saving checkpoint at 59 epochs |
| 2025-06-01 18:47:30,410 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 18:47:30,482 - pyskl - INFO - |
| top1_acc 0.6224 |
| top5_acc 0.8979 |
| 2025-06-01 18:47:30,482 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 18:47:30,490 - pyskl - INFO - |
| mean_acc 0.6203 |
| 2025-06-01 18:47:30,491 - pyskl - INFO - Epoch(val) [59][413] top1_acc: 0.6224, top5_acc: 0.8979, mean_class_accuracy: 0.6203 |
| 2025-06-01 18:48:34,656 - pyskl - INFO - Epoch [60][100/1027] lr: 1.659e-02, eta: 10:19:32, time: 0.642, data_time: 0.256, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8531, loss_cls: 5.0475, loss: 5.0475 |
| 2025-06-01 18:49:13,710 - pyskl - INFO - Epoch [60][200/1027] lr: 1.656e-02, eta: 10:18:51, time: 0.391, data_time: 0.000, memory: 7959, top1_acc: 0.5887, top5_acc: 0.8575, loss_cls: 4.9560, loss: 4.9560 |
| 2025-06-01 18:49:51,963 - pyskl - INFO - Epoch [60][300/1027] lr: 1.654e-02, eta: 10:18:09, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5837, top5_acc: 0.8488, loss_cls: 5.2238, loss: 5.2238 |
| 2025-06-01 18:50:29,883 - pyskl - INFO - Epoch [60][400/1027] lr: 1.651e-02, eta: 10:17:26, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5919, top5_acc: 0.8363, loss_cls: 5.1826, loss: 5.1826 |
| 2025-06-01 18:51:07,268 - pyskl - INFO - Epoch [60][500/1027] lr: 1.649e-02, eta: 10:16:42, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5837, top5_acc: 0.8494, loss_cls: 5.2003, loss: 5.2003 |
| 2025-06-01 18:51:44,723 - pyskl - INFO - Epoch [60][600/1027] lr: 1.647e-02, eta: 10:15:59, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5681, top5_acc: 0.8306, loss_cls: 5.2976, loss: 5.2976 |
| 2025-06-01 18:52:22,808 - pyskl - INFO - Epoch [60][700/1027] lr: 1.644e-02, eta: 10:15:17, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5794, top5_acc: 0.8350, loss_cls: 5.3251, loss: 5.3251 |
| 2025-06-01 18:52:59,842 - pyskl - INFO - Epoch [60][800/1027] lr: 1.642e-02, eta: 10:14:33, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.5944, top5_acc: 0.8431, loss_cls: 5.1469, loss: 5.1469 |
| 2025-06-01 18:53:36,647 - pyskl - INFO - Epoch [60][900/1027] lr: 1.639e-02, eta: 10:13:48, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8438, loss_cls: 5.1798, loss: 5.1798 |
| 2025-06-01 18:54:13,436 - pyskl - INFO - Epoch [60][1000/1027] lr: 1.637e-02, eta: 10:13:04, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.5813, top5_acc: 0.8519, loss_cls: 5.2366, loss: 5.2366 |
| 2025-06-01 18:54:24,157 - pyskl - INFO - Saving checkpoint at 60 epochs |
| 2025-06-01 19:15:35,455 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 19:15:35,532 - pyskl - INFO - |
| top1_acc 0.6354 |
| top5_acc 0.8923 |
| 2025-06-01 19:15:35,532 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 19:15:35,540 - pyskl - INFO - |
| mean_acc 0.6295 |
| 2025-06-01 19:15:35,597 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_57.pth was removed |
| 2025-06-01 19:15:37,177 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_60.pth. |
| 2025-06-01 19:15:37,179 - pyskl - INFO - Best top1_acc is 0.6354 at 60 epoch. |
| 2025-06-01 19:15:37,182 - pyskl - INFO - Epoch(val) [60][413] top1_acc: 0.6354, top5_acc: 0.8923, mean_class_accuracy: 0.6295 |
| 2025-06-01 19:16:41,249 - pyskl - INFO - Epoch [61][100/1027] lr: 1.634e-02, eta: 10:12:34, time: 0.641, data_time: 0.251, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8650, loss_cls: 5.0157, loss: 5.0157 |
| 2025-06-01 19:17:20,013 - pyskl - INFO - Epoch [61][200/1027] lr: 1.631e-02, eta: 10:11:52, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.6138, top5_acc: 0.8650, loss_cls: 4.9631, loss: 4.9631 |
| 2025-06-01 19:17:58,634 - pyskl - INFO - Epoch [61][300/1027] lr: 1.629e-02, eta: 10:11:11, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6094, top5_acc: 0.8519, loss_cls: 5.1358, loss: 5.1358 |
| 2025-06-01 19:18:36,861 - pyskl - INFO - Epoch [61][400/1027] lr: 1.627e-02, eta: 10:10:29, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5900, top5_acc: 0.8481, loss_cls: 5.2315, loss: 5.2315 |
| 2025-06-01 19:19:14,901 - pyskl - INFO - Epoch [61][500/1027] lr: 1.624e-02, eta: 10:09:46, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8475, loss_cls: 5.1447, loss: 5.1447 |
| 2025-06-01 19:19:53,026 - pyskl - INFO - Epoch [61][600/1027] lr: 1.622e-02, eta: 10:09:04, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5706, top5_acc: 0.8475, loss_cls: 5.3022, loss: 5.3022 |
| 2025-06-01 19:20:31,229 - pyskl - INFO - Epoch [61][700/1027] lr: 1.619e-02, eta: 10:08:22, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5713, top5_acc: 0.8444, loss_cls: 5.1588, loss: 5.1588 |
| 2025-06-01 19:21:09,311 - pyskl - INFO - Epoch [61][800/1027] lr: 1.617e-02, eta: 10:07:40, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8444, loss_cls: 5.3200, loss: 5.3200 |
| 2025-06-01 19:21:47,411 - pyskl - INFO - Epoch [61][900/1027] lr: 1.614e-02, eta: 10:06:57, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5675, top5_acc: 0.8469, loss_cls: 5.2966, loss: 5.2966 |
| 2025-06-01 19:22:25,521 - pyskl - INFO - Epoch [61][1000/1027] lr: 1.612e-02, eta: 10:06:15, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5537, top5_acc: 0.8294, loss_cls: 5.3402, loss: 5.3402 |
| 2025-06-01 19:22:36,565 - pyskl - INFO - Saving checkpoint at 61 epochs |
| 2025-06-01 19:23:13,343 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 19:23:13,417 - pyskl - INFO - |
| top1_acc 0.6233 |
| top5_acc 0.8989 |
| 2025-06-01 19:23:13,417 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 19:23:13,425 - pyskl - INFO - |
| mean_acc 0.6157 |
| 2025-06-01 19:23:13,426 - pyskl - INFO - Epoch(val) [61][413] top1_acc: 0.6233, top5_acc: 0.8989, mean_class_accuracy: 0.6157 |
| 2025-06-01 19:24:17,115 - pyskl - INFO - Epoch [62][100/1027] lr: 1.609e-02, eta: 10:05:44, time: 0.637, data_time: 0.257, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8631, loss_cls: 5.0673, loss: 5.0673 |
| 2025-06-01 19:24:55,924 - pyskl - INFO - Epoch [62][200/1027] lr: 1.606e-02, eta: 10:05:02, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5962, top5_acc: 0.8550, loss_cls: 5.0557, loss: 5.0557 |
| 2025-06-01 19:25:34,124 - pyskl - INFO - Epoch [62][300/1027] lr: 1.604e-02, eta: 10:04:20, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6212, top5_acc: 0.8625, loss_cls: 5.0468, loss: 5.0468 |
| 2025-06-01 19:26:12,138 - pyskl - INFO - Epoch [62][400/1027] lr: 1.602e-02, eta: 10:03:38, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5819, top5_acc: 0.8387, loss_cls: 5.2562, loss: 5.2562 |
| 2025-06-01 19:26:50,422 - pyskl - INFO - Epoch [62][500/1027] lr: 1.599e-02, eta: 10:02:56, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5962, top5_acc: 0.8450, loss_cls: 5.2121, loss: 5.2121 |
| 2025-06-01 19:27:29,016 - pyskl - INFO - Epoch [62][600/1027] lr: 1.597e-02, eta: 10:02:14, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5950, top5_acc: 0.8512, loss_cls: 5.1389, loss: 5.1389 |
| 2025-06-01 19:28:09,015 - pyskl - INFO - Epoch [62][700/1027] lr: 1.594e-02, eta: 10:01:35, time: 0.400, data_time: 0.000, memory: 7959, top1_acc: 0.5806, top5_acc: 0.8512, loss_cls: 5.2501, loss: 5.2501 |
| 2025-06-01 19:28:48,941 - pyskl - INFO - Epoch [62][800/1027] lr: 1.592e-02, eta: 10:00:55, time: 0.399, data_time: 0.000, memory: 7959, top1_acc: 0.6100, top5_acc: 0.8562, loss_cls: 5.0748, loss: 5.0748 |
| 2025-06-01 19:29:28,430 - pyskl - INFO - Epoch [62][900/1027] lr: 1.589e-02, eta: 10:00:15, time: 0.395, data_time: 0.000, memory: 7959, top1_acc: 0.5887, top5_acc: 0.8519, loss_cls: 5.2511, loss: 5.2511 |
| 2025-06-01 19:30:06,302 - pyskl - INFO - Epoch [62][1000/1027] lr: 1.587e-02, eta: 9:59:33, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5863, top5_acc: 0.8531, loss_cls: 5.2053, loss: 5.2053 |
| 2025-06-01 19:30:17,306 - pyskl - INFO - Saving checkpoint at 62 epochs |
| 2025-06-01 19:30:53,763 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 19:30:53,833 - pyskl - INFO - |
| top1_acc 0.5777 |
| top5_acc 0.8742 |
| 2025-06-01 19:30:53,833 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 19:30:53,840 - pyskl - INFO - |
| mean_acc 0.5754 |
| 2025-06-01 19:30:53,841 - pyskl - INFO - Epoch(val) [62][413] top1_acc: 0.5777, top5_acc: 0.8742, mean_class_accuracy: 0.5754 |
| 2025-06-01 19:31:57,108 - pyskl - INFO - Epoch [63][100/1027] lr: 1.584e-02, eta: 9:59:00, time: 0.633, data_time: 0.250, memory: 7959, top1_acc: 0.6300, top5_acc: 0.8794, loss_cls: 4.9037, loss: 4.9037 |
| 2025-06-01 19:32:35,693 - pyskl - INFO - Epoch [63][200/1027] lr: 1.581e-02, eta: 9:58:18, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6138, top5_acc: 0.8500, loss_cls: 5.0957, loss: 5.0957 |
| 2025-06-01 19:33:13,773 - pyskl - INFO - Epoch [63][300/1027] lr: 1.579e-02, eta: 9:57:36, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5850, top5_acc: 0.8594, loss_cls: 5.0671, loss: 5.0671 |
| 2025-06-01 19:33:51,603 - pyskl - INFO - Epoch [63][400/1027] lr: 1.576e-02, eta: 9:56:54, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6250, top5_acc: 0.8631, loss_cls: 5.1189, loss: 5.1189 |
| 2025-06-01 19:34:29,742 - pyskl - INFO - Epoch [63][500/1027] lr: 1.574e-02, eta: 9:56:11, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8525, loss_cls: 5.0925, loss: 5.0925 |
| 2025-06-01 19:35:08,084 - pyskl - INFO - Epoch [63][600/1027] lr: 1.571e-02, eta: 9:55:30, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5787, top5_acc: 0.8419, loss_cls: 5.2587, loss: 5.2587 |
| 2025-06-01 19:35:46,285 - pyskl - INFO - Epoch [63][700/1027] lr: 1.569e-02, eta: 9:54:48, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5800, top5_acc: 0.8450, loss_cls: 5.2374, loss: 5.2374 |
| 2025-06-01 19:36:24,238 - pyskl - INFO - Epoch [63][800/1027] lr: 1.566e-02, eta: 9:54:05, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5744, top5_acc: 0.8419, loss_cls: 5.1984, loss: 5.1984 |
| 2025-06-01 19:37:02,187 - pyskl - INFO - Epoch [63][900/1027] lr: 1.564e-02, eta: 9:53:23, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8444, loss_cls: 5.0305, loss: 5.0305 |
| 2025-06-01 19:37:40,129 - pyskl - INFO - Epoch [63][1000/1027] lr: 1.562e-02, eta: 9:52:41, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8519, loss_cls: 5.1630, loss: 5.1630 |
| 2025-06-01 19:37:51,106 - pyskl - INFO - Saving checkpoint at 63 epochs |
| 2025-06-01 19:38:27,971 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 19:38:28,042 - pyskl - INFO - |
| top1_acc 0.6113 |
| top5_acc 0.8956 |
| 2025-06-01 19:38:28,042 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 19:38:28,049 - pyskl - INFO - |
| mean_acc 0.6062 |
| 2025-06-01 19:38:28,051 - pyskl - INFO - Epoch(val) [63][413] top1_acc: 0.6113, top5_acc: 0.8956, mean_class_accuracy: 0.6062 |
| 2025-06-01 19:39:31,400 - pyskl - INFO - Epoch [64][100/1027] lr: 1.558e-02, eta: 9:52:08, time: 0.633, data_time: 0.250, memory: 7959, top1_acc: 0.6156, top5_acc: 0.8681, loss_cls: 5.0162, loss: 5.0162 |
| 2025-06-01 19:40:10,381 - pyskl - INFO - Epoch [64][200/1027] lr: 1.556e-02, eta: 9:51:27, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.6100, top5_acc: 0.8619, loss_cls: 4.9605, loss: 4.9605 |
| 2025-06-01 19:40:49,096 - pyskl - INFO - Epoch [64][300/1027] lr: 1.553e-02, eta: 9:50:45, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.6038, top5_acc: 0.8656, loss_cls: 5.0325, loss: 5.0325 |
| 2025-06-01 19:41:27,247 - pyskl - INFO - Epoch [64][400/1027] lr: 1.551e-02, eta: 9:50:03, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6038, top5_acc: 0.8638, loss_cls: 5.1215, loss: 5.1215 |
| 2025-06-01 19:42:05,388 - pyskl - INFO - Epoch [64][500/1027] lr: 1.549e-02, eta: 9:49:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6125, top5_acc: 0.8650, loss_cls: 5.0783, loss: 5.0783 |
| 2025-06-01 19:42:43,517 - pyskl - INFO - Epoch [64][600/1027] lr: 1.546e-02, eta: 9:48:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5931, top5_acc: 0.8450, loss_cls: 5.1625, loss: 5.1625 |
| 2025-06-01 19:43:21,459 - pyskl - INFO - Epoch [64][700/1027] lr: 1.544e-02, eta: 9:47:57, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5731, top5_acc: 0.8400, loss_cls: 5.2798, loss: 5.2798 |
| 2025-06-01 19:43:59,300 - pyskl - INFO - Epoch [64][800/1027] lr: 1.541e-02, eta: 9:47:14, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6062, top5_acc: 0.8500, loss_cls: 5.1883, loss: 5.1883 |
| 2025-06-01 19:44:37,203 - pyskl - INFO - Epoch [64][900/1027] lr: 1.539e-02, eta: 9:46:32, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6119, top5_acc: 0.8544, loss_cls: 4.9875, loss: 4.9875 |
| 2025-06-01 19:45:15,120 - pyskl - INFO - Epoch [64][1000/1027] lr: 1.536e-02, eta: 9:45:50, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5881, top5_acc: 0.8475, loss_cls: 5.1690, loss: 5.1690 |
| 2025-06-01 19:45:26,067 - pyskl - INFO - Saving checkpoint at 64 epochs |
| 2025-06-01 19:46:02,766 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 19:46:02,837 - pyskl - INFO - |
| top1_acc 0.6313 |
| top5_acc 0.8962 |
| 2025-06-01 19:46:02,837 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 19:46:02,845 - pyskl - INFO - |
| mean_acc 0.6280 |
| 2025-06-01 19:46:02,847 - pyskl - INFO - Epoch(val) [64][413] top1_acc: 0.6313, top5_acc: 0.8962, mean_class_accuracy: 0.6280 |
| 2025-06-01 19:47:06,051 - pyskl - INFO - Epoch [65][100/1027] lr: 1.533e-02, eta: 9:45:16, time: 0.632, data_time: 0.248, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8644, loss_cls: 4.9508, loss: 4.9508 |
| 2025-06-01 19:47:44,189 - pyskl - INFO - Epoch [65][200/1027] lr: 1.530e-02, eta: 9:44:34, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6100, top5_acc: 0.8562, loss_cls: 4.9571, loss: 4.9571 |
| 2025-06-01 19:48:22,589 - pyskl - INFO - Epoch [65][300/1027] lr: 1.528e-02, eta: 9:43:53, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6094, top5_acc: 0.8575, loss_cls: 5.1324, loss: 5.1324 |
| 2025-06-01 19:49:02,060 - pyskl - INFO - Epoch [65][400/1027] lr: 1.526e-02, eta: 9:43:12, time: 0.395, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8475, loss_cls: 5.1589, loss: 5.1589 |
| 2025-06-01 19:49:41,303 - pyskl - INFO - Epoch [65][500/1027] lr: 1.523e-02, eta: 9:42:32, time: 0.392, data_time: 0.000, memory: 7959, top1_acc: 0.6156, top5_acc: 0.8506, loss_cls: 5.0773, loss: 5.0773 |
| 2025-06-01 19:50:19,905 - pyskl - INFO - Epoch [65][600/1027] lr: 1.521e-02, eta: 9:41:50, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8550, loss_cls: 5.0345, loss: 5.0345 |
| 2025-06-01 19:50:58,496 - pyskl - INFO - Epoch [65][700/1027] lr: 1.518e-02, eta: 9:41:09, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8631, loss_cls: 5.0548, loss: 5.0548 |
| 2025-06-01 19:51:37,106 - pyskl - INFO - Epoch [65][800/1027] lr: 1.516e-02, eta: 9:40:28, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5769, top5_acc: 0.8356, loss_cls: 5.2551, loss: 5.2551 |
| 2025-06-01 19:52:15,711 - pyskl - INFO - Epoch [65][900/1027] lr: 1.513e-02, eta: 9:39:46, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5856, top5_acc: 0.8600, loss_cls: 5.1267, loss: 5.1267 |
| 2025-06-01 19:52:54,333 - pyskl - INFO - Epoch [65][1000/1027] lr: 1.511e-02, eta: 9:39:05, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5694, top5_acc: 0.8469, loss_cls: 5.1670, loss: 5.1670 |
| 2025-06-01 19:53:05,505 - pyskl - INFO - Saving checkpoint at 65 epochs |
| 2025-06-01 20:12:41,775 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 20:12:41,846 - pyskl - INFO - |
| top1_acc 0.6107 |
| top5_acc 0.8982 |
| 2025-06-01 20:12:41,847 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 20:12:41,855 - pyskl - INFO - |
| mean_acc 0.6096 |
| 2025-06-01 20:12:41,857 - pyskl - INFO - Epoch(val) [65][413] top1_acc: 0.6107, top5_acc: 0.8982, mean_class_accuracy: 0.6096 |
| 2025-06-01 20:13:45,441 - pyskl - INFO - Epoch [66][100/1027] lr: 1.507e-02, eta: 9:38:31, time: 0.636, data_time: 0.255, memory: 7959, top1_acc: 0.6319, top5_acc: 0.8612, loss_cls: 4.9157, loss: 4.9157 |
| 2025-06-01 20:14:23,668 - pyskl - INFO - Epoch [66][200/1027] lr: 1.505e-02, eta: 9:37:50, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6181, top5_acc: 0.8700, loss_cls: 4.9356, loss: 4.9356 |
| 2025-06-01 20:15:02,186 - pyskl - INFO - Epoch [66][300/1027] lr: 1.502e-02, eta: 9:37:08, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8644, loss_cls: 5.0645, loss: 5.0645 |
| 2025-06-01 20:15:40,453 - pyskl - INFO - Epoch [66][400/1027] lr: 1.500e-02, eta: 9:36:26, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5806, top5_acc: 0.8512, loss_cls: 5.1645, loss: 5.1645 |
| 2025-06-01 20:16:18,687 - pyskl - INFO - Epoch [66][500/1027] lr: 1.497e-02, eta: 9:35:44, time: 0.382, data_time: 0.001, memory: 7959, top1_acc: 0.6181, top5_acc: 0.8594, loss_cls: 5.0606, loss: 5.0606 |
| 2025-06-01 20:16:56,858 - pyskl - INFO - Epoch [66][600/1027] lr: 1.495e-02, eta: 9:35:03, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5925, top5_acc: 0.8331, loss_cls: 5.1810, loss: 5.1810 |
| 2025-06-01 20:17:36,058 - pyskl - INFO - Epoch [66][700/1027] lr: 1.492e-02, eta: 9:34:22, time: 0.392, data_time: 0.000, memory: 7959, top1_acc: 0.5813, top5_acc: 0.8556, loss_cls: 5.1993, loss: 5.1993 |
| 2025-06-01 20:18:15,858 - pyskl - INFO - Epoch [66][800/1027] lr: 1.490e-02, eta: 9:33:42, time: 0.398, data_time: 0.000, memory: 7959, top1_acc: 0.6112, top5_acc: 0.8512, loss_cls: 5.0209, loss: 5.0209 |
| 2025-06-01 20:18:55,575 - pyskl - INFO - Epoch [66][900/1027] lr: 1.487e-02, eta: 9:33:02, time: 0.397, data_time: 0.000, memory: 7959, top1_acc: 0.6231, top5_acc: 0.8475, loss_cls: 5.0079, loss: 5.0079 |
| 2025-06-01 20:19:35,376 - pyskl - INFO - Epoch [66][1000/1027] lr: 1.485e-02, eta: 9:32:23, time: 0.398, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8544, loss_cls: 5.0330, loss: 5.0330 |
| 2025-06-01 20:19:46,900 - pyskl - INFO - Saving checkpoint at 66 epochs |
| 2025-06-01 20:20:23,262 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 20:20:23,333 - pyskl - INFO - |
| top1_acc 0.6131 |
| top5_acc 0.8956 |
| 2025-06-01 20:20:23,333 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 20:20:23,340 - pyskl - INFO - |
| mean_acc 0.6062 |
| 2025-06-01 20:20:23,342 - pyskl - INFO - Epoch(val) [66][413] top1_acc: 0.6131, top5_acc: 0.8956, mean_class_accuracy: 0.6062 |
| 2025-06-01 20:21:26,433 - pyskl - INFO - Epoch [67][100/1027] lr: 1.482e-02, eta: 9:31:48, time: 0.631, data_time: 0.248, memory: 7959, top1_acc: 0.6194, top5_acc: 0.8638, loss_cls: 5.0052, loss: 5.0052 |
| 2025-06-01 20:22:04,861 - pyskl - INFO - Epoch [67][200/1027] lr: 1.479e-02, eta: 9:31:06, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8638, loss_cls: 4.9672, loss: 4.9672 |
| 2025-06-01 20:22:43,330 - pyskl - INFO - Epoch [67][300/1027] lr: 1.477e-02, eta: 9:30:25, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6269, top5_acc: 0.8669, loss_cls: 4.9623, loss: 4.9623 |
| 2025-06-01 20:23:22,193 - pyskl - INFO - Epoch [67][400/1027] lr: 1.474e-02, eta: 9:29:44, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8725, loss_cls: 4.9414, loss: 4.9414 |
| 2025-06-01 20:24:00,514 - pyskl - INFO - Epoch [67][500/1027] lr: 1.472e-02, eta: 9:29:02, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6188, top5_acc: 0.8569, loss_cls: 5.0034, loss: 5.0034 |
| 2025-06-01 20:24:38,801 - pyskl - INFO - Epoch [67][600/1027] lr: 1.469e-02, eta: 9:28:20, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6144, top5_acc: 0.8762, loss_cls: 5.0082, loss: 5.0082 |
| 2025-06-01 20:25:16,760 - pyskl - INFO - Epoch [67][700/1027] lr: 1.467e-02, eta: 9:27:38, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5787, top5_acc: 0.8300, loss_cls: 5.2874, loss: 5.2874 |
| 2025-06-01 20:25:54,615 - pyskl - INFO - Epoch [67][800/1027] lr: 1.464e-02, eta: 9:26:56, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6219, top5_acc: 0.8562, loss_cls: 5.0252, loss: 5.0252 |
| 2025-06-01 20:26:32,388 - pyskl - INFO - Epoch [67][900/1027] lr: 1.462e-02, eta: 9:26:14, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5938, top5_acc: 0.8494, loss_cls: 5.0402, loss: 5.0402 |
| 2025-06-01 20:27:10,204 - pyskl - INFO - Epoch [67][1000/1027] lr: 1.459e-02, eta: 9:25:31, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5669, top5_acc: 0.8363, loss_cls: 5.2378, loss: 5.2378 |
| 2025-06-01 20:27:21,158 - pyskl - INFO - Saving checkpoint at 67 epochs |
| 2025-06-01 20:27:57,588 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 20:27:57,659 - pyskl - INFO - |
| top1_acc 0.6398 |
| top5_acc 0.9027 |
| 2025-06-01 20:27:57,659 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 20:27:57,666 - pyskl - INFO - |
| mean_acc 0.6319 |
| 2025-06-01 20:27:57,724 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_60.pth was removed |
| 2025-06-01 20:27:59,279 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_67.pth. |
| 2025-06-01 20:27:59,281 - pyskl - INFO - Best top1_acc is 0.6398 at 67 epoch. |
| 2025-06-01 20:27:59,283 - pyskl - INFO - Epoch(val) [67][413] top1_acc: 0.6398, top5_acc: 0.9027, mean_class_accuracy: 0.6319 |
| 2025-06-01 20:29:02,521 - pyskl - INFO - Epoch [68][100/1027] lr: 1.456e-02, eta: 9:24:57, time: 0.632, data_time: 0.247, memory: 7959, top1_acc: 0.6587, top5_acc: 0.8788, loss_cls: 4.8706, loss: 4.8706 |
| 2025-06-01 20:29:40,932 - pyskl - INFO - Epoch [68][200/1027] lr: 1.453e-02, eta: 9:24:15, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6419, top5_acc: 0.8738, loss_cls: 4.8897, loss: 4.8897 |
| 2025-06-01 20:30:19,739 - pyskl - INFO - Epoch [68][300/1027] lr: 1.451e-02, eta: 9:23:34, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.6375, top5_acc: 0.8725, loss_cls: 4.8744, loss: 4.8744 |
| 2025-06-01 20:30:58,691 - pyskl - INFO - Epoch [68][400/1027] lr: 1.448e-02, eta: 9:22:53, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.6306, top5_acc: 0.8706, loss_cls: 4.8414, loss: 4.8414 |
| 2025-06-01 20:31:37,408 - pyskl - INFO - Epoch [68][500/1027] lr: 1.446e-02, eta: 9:22:12, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5969, top5_acc: 0.8606, loss_cls: 5.0000, loss: 5.0000 |
| 2025-06-01 20:32:15,853 - pyskl - INFO - Epoch [68][600/1027] lr: 1.443e-02, eta: 9:21:31, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6056, top5_acc: 0.8569, loss_cls: 5.0290, loss: 5.0290 |
| 2025-06-01 20:32:54,226 - pyskl - INFO - Epoch [68][700/1027] lr: 1.441e-02, eta: 9:20:49, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6012, top5_acc: 0.8638, loss_cls: 5.0987, loss: 5.0987 |
| 2025-06-01 20:33:32,627 - pyskl - INFO - Epoch [68][800/1027] lr: 1.438e-02, eta: 9:20:08, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5900, top5_acc: 0.8681, loss_cls: 4.9912, loss: 4.9912 |
| 2025-06-01 20:34:10,716 - pyskl - INFO - Epoch [68][900/1027] lr: 1.436e-02, eta: 9:19:26, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8500, loss_cls: 5.1804, loss: 5.1804 |
| 2025-06-01 20:34:48,735 - pyskl - INFO - Epoch [68][1000/1027] lr: 1.433e-02, eta: 9:18:44, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8450, loss_cls: 5.1449, loss: 5.1449 |
| 2025-06-01 20:34:59,775 - pyskl - INFO - Saving checkpoint at 68 epochs |
| 2025-06-01 20:35:36,678 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 20:35:36,750 - pyskl - INFO - |
| top1_acc 0.6287 |
| top5_acc 0.8977 |
| 2025-06-01 20:35:36,750 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 20:35:36,758 - pyskl - INFO - |
| mean_acc 0.6283 |
| 2025-06-01 20:35:36,760 - pyskl - INFO - Epoch(val) [68][413] top1_acc: 0.6287, top5_acc: 0.8977, mean_class_accuracy: 0.6283 |
| 2025-06-01 20:36:39,833 - pyskl - INFO - Epoch [69][100/1027] lr: 1.430e-02, eta: 9:18:08, time: 0.631, data_time: 0.248, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8800, loss_cls: 4.8964, loss: 4.8964 |
| 2025-06-01 20:37:18,401 - pyskl - INFO - Epoch [69][200/1027] lr: 1.428e-02, eta: 9:17:27, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6175, top5_acc: 0.8656, loss_cls: 4.9329, loss: 4.9329 |
| 2025-06-01 20:37:57,053 - pyskl - INFO - Epoch [69][300/1027] lr: 1.425e-02, eta: 9:16:46, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.6225, top5_acc: 0.8756, loss_cls: 4.9408, loss: 4.9408 |
| 2025-06-01 20:38:35,882 - pyskl - INFO - Epoch [69][400/1027] lr: 1.423e-02, eta: 9:16:05, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.6419, top5_acc: 0.8731, loss_cls: 4.9254, loss: 4.9254 |
| 2025-06-01 20:39:14,652 - pyskl - INFO - Epoch [69][500/1027] lr: 1.420e-02, eta: 9:15:24, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.6119, top5_acc: 0.8700, loss_cls: 4.9772, loss: 4.9772 |
| 2025-06-01 20:39:53,611 - pyskl - INFO - Epoch [69][600/1027] lr: 1.417e-02, eta: 9:14:43, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.6256, top5_acc: 0.8756, loss_cls: 4.9191, loss: 4.9191 |
| 2025-06-01 20:40:33,610 - pyskl - INFO - Epoch [69][700/1027] lr: 1.415e-02, eta: 9:14:03, time: 0.400, data_time: 0.000, memory: 7959, top1_acc: 0.5863, top5_acc: 0.8619, loss_cls: 5.1400, loss: 5.1400 |
| 2025-06-01 20:41:13,551 - pyskl - INFO - Epoch [69][800/1027] lr: 1.412e-02, eta: 9:13:24, time: 0.399, data_time: 0.000, memory: 7959, top1_acc: 0.6019, top5_acc: 0.8562, loss_cls: 5.1170, loss: 5.1170 |
| 2025-06-01 20:41:53,470 - pyskl - INFO - Epoch [69][900/1027] lr: 1.410e-02, eta: 9:12:44, time: 0.399, data_time: 0.000, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8525, loss_cls: 4.9926, loss: 4.9926 |
| 2025-06-01 20:42:33,406 - pyskl - INFO - Epoch [69][1000/1027] lr: 1.407e-02, eta: 9:12:04, time: 0.399, data_time: 0.000, memory: 7959, top1_acc: 0.5950, top5_acc: 0.8500, loss_cls: 5.0727, loss: 5.0727 |
| 2025-06-01 20:42:45,004 - pyskl - INFO - Saving checkpoint at 69 epochs |
| 2025-06-01 20:43:21,934 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 20:43:22,006 - pyskl - INFO - |
| top1_acc 0.6268 |
| top5_acc 0.8980 |
| 2025-06-01 20:43:22,006 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 20:43:22,014 - pyskl - INFO - |
| mean_acc 0.6251 |
| 2025-06-01 20:43:22,016 - pyskl - INFO - Epoch(val) [69][413] top1_acc: 0.6268, top5_acc: 0.8980, mean_class_accuracy: 0.6251 |
| 2025-06-01 20:44:25,937 - pyskl - INFO - Epoch [70][100/1027] lr: 1.404e-02, eta: 9:11:29, time: 0.639, data_time: 0.256, memory: 7959, top1_acc: 0.6381, top5_acc: 0.8962, loss_cls: 4.8649, loss: 4.8649 |
| 2025-06-01 20:45:04,208 - pyskl - INFO - Epoch [70][200/1027] lr: 1.402e-02, eta: 9:10:48, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8812, loss_cls: 4.8369, loss: 4.8369 |
| 2025-06-01 20:45:42,154 - pyskl - INFO - Epoch [70][300/1027] lr: 1.399e-02, eta: 9:10:06, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6219, top5_acc: 0.8644, loss_cls: 4.9675, loss: 4.9675 |
| 2025-06-01 20:46:20,195 - pyskl - INFO - Epoch [70][400/1027] lr: 1.397e-02, eta: 9:09:24, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6288, top5_acc: 0.8738, loss_cls: 4.9442, loss: 4.9442 |
| 2025-06-01 20:46:58,183 - pyskl - INFO - Epoch [70][500/1027] lr: 1.394e-02, eta: 9:08:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6306, top5_acc: 0.8712, loss_cls: 4.8525, loss: 4.8525 |
| 2025-06-01 20:47:35,516 - pyskl - INFO - Epoch [70][600/1027] lr: 1.392e-02, eta: 9:07:59, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6250, top5_acc: 0.8631, loss_cls: 4.9987, loss: 4.9987 |
| 2025-06-01 20:48:12,811 - pyskl - INFO - Epoch [70][700/1027] lr: 1.389e-02, eta: 9:07:17, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6019, top5_acc: 0.8488, loss_cls: 5.0657, loss: 5.0657 |
| 2025-06-01 20:48:50,163 - pyskl - INFO - Epoch [70][800/1027] lr: 1.386e-02, eta: 9:06:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6219, top5_acc: 0.8625, loss_cls: 5.0115, loss: 5.0115 |
| 2025-06-01 20:49:27,462 - pyskl - INFO - Epoch [70][900/1027] lr: 1.384e-02, eta: 9:05:51, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6231, top5_acc: 0.8575, loss_cls: 4.9998, loss: 4.9998 |
| 2025-06-01 20:50:04,788 - pyskl - INFO - Epoch [70][1000/1027] lr: 1.381e-02, eta: 9:05:09, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6231, top5_acc: 0.8688, loss_cls: 5.0708, loss: 5.0708 |
| 2025-06-01 20:50:15,615 - pyskl - INFO - Saving checkpoint at 70 epochs |
| 2025-06-01 21:10:25,834 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 21:10:25,907 - pyskl - INFO - |
| top1_acc 0.6269 |
| top5_acc 0.9026 |
| 2025-06-01 21:10:25,907 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 21:10:25,915 - pyskl - INFO - |
| mean_acc 0.6276 |
| 2025-06-01 21:10:25,917 - pyskl - INFO - Epoch(val) [70][413] top1_acc: 0.6269, top5_acc: 0.9026, mean_class_accuracy: 0.6276 |
| 2025-06-01 21:11:30,865 - pyskl - INFO - Epoch [71][100/1027] lr: 1.378e-02, eta: 9:04:34, time: 0.649, data_time: 0.248, memory: 7959, top1_acc: 0.6269, top5_acc: 0.8825, loss_cls: 4.8714, loss: 4.8714 |
| 2025-06-01 21:12:10,279 - pyskl - INFO - Epoch [71][200/1027] lr: 1.376e-02, eta: 9:03:54, time: 0.394, data_time: 0.000, memory: 7959, top1_acc: 0.6400, top5_acc: 0.8806, loss_cls: 4.8812, loss: 4.8812 |
| 2025-06-01 21:12:48,652 - pyskl - INFO - Epoch [71][300/1027] lr: 1.373e-02, eta: 9:03:13, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6350, top5_acc: 0.8725, loss_cls: 4.9551, loss: 4.9551 |
| 2025-06-01 21:13:27,162 - pyskl - INFO - Epoch [71][400/1027] lr: 1.371e-02, eta: 9:02:31, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6162, top5_acc: 0.8600, loss_cls: 4.9291, loss: 4.9291 |
| 2025-06-01 21:14:05,688 - pyskl - INFO - Epoch [71][500/1027] lr: 1.368e-02, eta: 9:01:50, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6094, top5_acc: 0.8544, loss_cls: 4.9722, loss: 4.9722 |
| 2025-06-01 21:14:43,948 - pyskl - INFO - Epoch [71][600/1027] lr: 1.365e-02, eta: 9:01:09, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6094, top5_acc: 0.8644, loss_cls: 5.0444, loss: 5.0444 |
| 2025-06-01 21:15:22,191 - pyskl - INFO - Epoch [71][700/1027] lr: 1.363e-02, eta: 9:00:27, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6212, top5_acc: 0.8725, loss_cls: 5.0017, loss: 5.0017 |
| 2025-06-01 21:16:00,205 - pyskl - INFO - Epoch [71][800/1027] lr: 1.360e-02, eta: 8:59:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8800, loss_cls: 4.9153, loss: 4.9153 |
| 2025-06-01 21:16:38,239 - pyskl - INFO - Epoch [71][900/1027] lr: 1.358e-02, eta: 8:59:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6062, top5_acc: 0.8650, loss_cls: 4.9382, loss: 4.9382 |
| 2025-06-01 21:17:16,390 - pyskl - INFO - Epoch [71][1000/1027] lr: 1.355e-02, eta: 8:58:22, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8594, loss_cls: 4.9761, loss: 4.9761 |
| 2025-06-01 21:17:27,494 - pyskl - INFO - Saving checkpoint at 71 epochs |
| 2025-06-01 21:18:04,367 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 21:18:04,438 - pyskl - INFO - |
| top1_acc 0.6395 |
| top5_acc 0.9010 |
| 2025-06-01 21:18:04,438 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 21:18:04,446 - pyskl - INFO - |
| mean_acc 0.6379 |
| 2025-06-01 21:18:04,447 - pyskl - INFO - Epoch(val) [71][413] top1_acc: 0.6395, top5_acc: 0.9010, mean_class_accuracy: 0.6379 |
| 2025-06-01 21:19:08,329 - pyskl - INFO - Epoch [72][100/1027] lr: 1.352e-02, eta: 8:57:46, time: 0.639, data_time: 0.249, memory: 7959, top1_acc: 0.6581, top5_acc: 0.8706, loss_cls: 4.7244, loss: 4.7244 |
| 2025-06-01 21:19:46,510 - pyskl - INFO - Epoch [72][200/1027] lr: 1.350e-02, eta: 8:57:04, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6681, top5_acc: 0.8844, loss_cls: 4.7530, loss: 4.7530 |
| 2025-06-01 21:20:24,798 - pyskl - INFO - Epoch [72][300/1027] lr: 1.347e-02, eta: 8:56:23, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6331, top5_acc: 0.8750, loss_cls: 4.9080, loss: 4.9080 |
| 2025-06-01 21:21:03,426 - pyskl - INFO - Epoch [72][400/1027] lr: 1.344e-02, eta: 8:55:42, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8569, loss_cls: 4.9451, loss: 4.9451 |
| 2025-06-01 21:21:41,983 - pyskl - INFO - Epoch [72][500/1027] lr: 1.342e-02, eta: 8:55:01, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6419, top5_acc: 0.8725, loss_cls: 4.8432, loss: 4.8432 |
| 2025-06-01 21:22:20,681 - pyskl - INFO - Epoch [72][600/1027] lr: 1.339e-02, eta: 8:54:20, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8750, loss_cls: 4.8362, loss: 4.8362 |
| 2025-06-01 21:22:59,059 - pyskl - INFO - Epoch [72][700/1027] lr: 1.337e-02, eta: 8:53:38, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6262, top5_acc: 0.8600, loss_cls: 4.9921, loss: 4.9921 |
| 2025-06-01 21:23:36,701 - pyskl - INFO - Epoch [72][800/1027] lr: 1.334e-02, eta: 8:52:56, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6138, top5_acc: 0.8662, loss_cls: 4.9611, loss: 4.9611 |
| 2025-06-01 21:24:14,348 - pyskl - INFO - Epoch [72][900/1027] lr: 1.332e-02, eta: 8:52:14, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8725, loss_cls: 4.9650, loss: 4.9650 |
| 2025-06-01 21:24:52,463 - pyskl - INFO - Epoch [72][1000/1027] lr: 1.329e-02, eta: 8:51:32, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6300, top5_acc: 0.8694, loss_cls: 5.1046, loss: 5.1046 |
| 2025-06-01 21:25:03,803 - pyskl - INFO - Saving checkpoint at 72 epochs |
| 2025-06-01 21:25:41,150 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 21:25:41,245 - pyskl - INFO - |
| top1_acc 0.6534 |
| top5_acc 0.9082 |
| 2025-06-01 21:25:41,245 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 21:25:41,255 - pyskl - INFO - |
| mean_acc 0.6484 |
| 2025-06-01 21:25:41,320 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_67.pth was removed |
| 2025-06-01 21:25:42,892 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_72.pth. |
| 2025-06-01 21:25:42,894 - pyskl - INFO - Best top1_acc is 0.6534 at 72 epoch. |
| 2025-06-01 21:25:42,897 - pyskl - INFO - Epoch(val) [72][413] top1_acc: 0.6534, top5_acc: 0.9082, mean_class_accuracy: 0.6484 |
| 2025-06-01 21:26:45,950 - pyskl - INFO - Epoch [73][100/1027] lr: 1.326e-02, eta: 8:50:55, time: 0.630, data_time: 0.248, memory: 7959, top1_acc: 0.6600, top5_acc: 0.8888, loss_cls: 4.7380, loss: 4.7380 |
| 2025-06-01 21:27:24,194 - pyskl - INFO - Epoch [73][200/1027] lr: 1.323e-02, eta: 8:50:14, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6719, top5_acc: 0.8912, loss_cls: 4.6477, loss: 4.6477 |
| 2025-06-01 21:28:02,541 - pyskl - INFO - Epoch [73][300/1027] lr: 1.321e-02, eta: 8:49:32, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6519, top5_acc: 0.8769, loss_cls: 4.7876, loss: 4.7876 |
| 2025-06-01 21:28:41,001 - pyskl - INFO - Epoch [73][400/1027] lr: 1.318e-02, eta: 8:48:51, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6400, top5_acc: 0.8719, loss_cls: 4.9765, loss: 4.9765 |
| 2025-06-01 21:29:19,602 - pyskl - INFO - Epoch [73][500/1027] lr: 1.316e-02, eta: 8:48:10, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8781, loss_cls: 4.9161, loss: 4.9161 |
| 2025-06-01 21:29:58,279 - pyskl - INFO - Epoch [73][600/1027] lr: 1.313e-02, eta: 8:47:29, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.6162, top5_acc: 0.8488, loss_cls: 5.0100, loss: 5.0100 |
| 2025-06-01 21:30:36,805 - pyskl - INFO - Epoch [73][700/1027] lr: 1.311e-02, eta: 8:46:48, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6500, top5_acc: 0.8756, loss_cls: 4.8500, loss: 4.8500 |
| 2025-06-01 21:31:14,828 - pyskl - INFO - Epoch [73][800/1027] lr: 1.308e-02, eta: 8:46:06, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6394, top5_acc: 0.8744, loss_cls: 4.8705, loss: 4.8705 |
| 2025-06-01 21:31:52,811 - pyskl - INFO - Epoch [73][900/1027] lr: 1.306e-02, eta: 8:45:24, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6119, top5_acc: 0.8675, loss_cls: 5.0333, loss: 5.0333 |
| 2025-06-01 21:32:30,963 - pyskl - INFO - Epoch [73][1000/1027] lr: 1.303e-02, eta: 8:44:43, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6338, top5_acc: 0.8744, loss_cls: 4.9287, loss: 4.9287 |
| 2025-06-01 21:32:42,332 - pyskl - INFO - Saving checkpoint at 73 epochs |
| 2025-06-01 21:33:19,545 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 21:33:19,617 - pyskl - INFO - |
| top1_acc 0.6387 |
| top5_acc 0.9054 |
| 2025-06-01 21:33:19,617 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 21:33:19,625 - pyskl - INFO - |
| mean_acc 0.6424 |
| 2025-06-01 21:33:19,627 - pyskl - INFO - Epoch(val) [73][413] top1_acc: 0.6387, top5_acc: 0.9054, mean_class_accuracy: 0.6424 |
| 2025-06-01 21:34:23,648 - pyskl - INFO - Epoch [74][100/1027] lr: 1.300e-02, eta: 8:44:06, time: 0.640, data_time: 0.257, memory: 7959, top1_acc: 0.6631, top5_acc: 0.8869, loss_cls: 4.7370, loss: 4.7370 |
| 2025-06-01 21:35:01,763 - pyskl - INFO - Epoch [74][200/1027] lr: 1.297e-02, eta: 8:43:25, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8806, loss_cls: 4.7946, loss: 4.7946 |
| 2025-06-01 21:35:40,120 - pyskl - INFO - Epoch [74][300/1027] lr: 1.295e-02, eta: 8:42:43, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6531, top5_acc: 0.8850, loss_cls: 4.7251, loss: 4.7251 |
| 2025-06-01 21:36:18,609 - pyskl - INFO - Epoch [74][400/1027] lr: 1.292e-02, eta: 8:42:02, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6375, top5_acc: 0.8694, loss_cls: 4.7887, loss: 4.7887 |
| 2025-06-01 21:36:57,060 - pyskl - INFO - Epoch [74][500/1027] lr: 1.290e-02, eta: 8:41:21, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6319, top5_acc: 0.8694, loss_cls: 4.9380, loss: 4.9380 |
| 2025-06-01 21:37:35,580 - pyskl - INFO - Epoch [74][600/1027] lr: 1.287e-02, eta: 8:40:40, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8550, loss_cls: 4.9884, loss: 4.9884 |
| 2025-06-01 21:38:14,419 - pyskl - INFO - Epoch [74][700/1027] lr: 1.285e-02, eta: 8:39:59, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.6262, top5_acc: 0.8656, loss_cls: 4.9575, loss: 4.9575 |
| 2025-06-01 21:38:52,491 - pyskl - INFO - Epoch [74][800/1027] lr: 1.282e-02, eta: 8:39:17, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6469, top5_acc: 0.8850, loss_cls: 4.7675, loss: 4.7675 |
| 2025-06-01 21:39:30,569 - pyskl - INFO - Epoch [74][900/1027] lr: 1.279e-02, eta: 8:38:36, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6231, top5_acc: 0.8681, loss_cls: 4.9963, loss: 4.9963 |
| 2025-06-01 21:40:08,755 - pyskl - INFO - Epoch [74][1000/1027] lr: 1.277e-02, eta: 8:37:54, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6175, top5_acc: 0.8619, loss_cls: 4.9804, loss: 4.9804 |
| 2025-06-01 21:40:19,975 - pyskl - INFO - Saving checkpoint at 74 epochs |
| 2025-06-01 21:40:57,315 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 21:40:57,387 - pyskl - INFO - |
| top1_acc 0.6287 |
| top5_acc 0.8960 |
| 2025-06-01 21:40:57,387 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 21:40:57,395 - pyskl - INFO - |
| mean_acc 0.6267 |
| 2025-06-01 21:40:57,396 - pyskl - INFO - Epoch(val) [74][413] top1_acc: 0.6287, top5_acc: 0.8960, mean_class_accuracy: 0.6267 |
| 2025-06-01 21:42:01,225 - pyskl - INFO - Epoch [75][100/1027] lr: 1.274e-02, eta: 8:37:17, time: 0.638, data_time: 0.254, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8800, loss_cls: 4.8607, loss: 4.8607 |
| 2025-06-01 21:42:39,673 - pyskl - INFO - Epoch [75][200/1027] lr: 1.271e-02, eta: 8:36:36, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6687, top5_acc: 0.8950, loss_cls: 4.7466, loss: 4.7466 |
| 2025-06-01 21:43:17,929 - pyskl - INFO - Epoch [75][300/1027] lr: 1.269e-02, eta: 8:35:55, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6644, top5_acc: 0.8875, loss_cls: 4.6640, loss: 4.6640 |
| 2025-06-01 21:43:56,278 - pyskl - INFO - Epoch [75][400/1027] lr: 1.266e-02, eta: 8:35:14, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6325, top5_acc: 0.8638, loss_cls: 4.9177, loss: 4.9177 |
| 2025-06-01 21:44:34,281 - pyskl - INFO - Epoch [75][500/1027] lr: 1.263e-02, eta: 8:34:32, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6481, top5_acc: 0.8725, loss_cls: 4.8397, loss: 4.8397 |
| 2025-06-01 21:45:12,049 - pyskl - INFO - Epoch [75][600/1027] lr: 1.261e-02, eta: 8:33:50, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8731, loss_cls: 4.8620, loss: 4.8620 |
| 2025-06-01 21:45:49,443 - pyskl - INFO - Epoch [75][700/1027] lr: 1.258e-02, eta: 8:33:08, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6431, top5_acc: 0.8850, loss_cls: 4.7406, loss: 4.7406 |
| 2025-06-01 21:46:26,667 - pyskl - INFO - Epoch [75][800/1027] lr: 1.256e-02, eta: 8:32:25, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6425, top5_acc: 0.8738, loss_cls: 4.8249, loss: 4.8249 |
| 2025-06-01 21:47:03,905 - pyskl - INFO - Epoch [75][900/1027] lr: 1.253e-02, eta: 8:31:43, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6231, top5_acc: 0.8725, loss_cls: 4.9175, loss: 4.9175 |
| 2025-06-01 21:47:41,193 - pyskl - INFO - Epoch [75][1000/1027] lr: 1.251e-02, eta: 8:31:01, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6106, top5_acc: 0.8800, loss_cls: 4.7677, loss: 4.7677 |
| 2025-06-01 21:47:52,278 - pyskl - INFO - Saving checkpoint at 75 epochs |
| 2025-06-01 22:07:31,332 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 22:07:31,409 - pyskl - INFO - |
| top1_acc 0.6519 |
| top5_acc 0.9106 |
| 2025-06-01 22:07:31,410 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 22:07:31,420 - pyskl - INFO - |
| mean_acc 0.6488 |
| 2025-06-01 22:07:31,422 - pyskl - INFO - Epoch(val) [75][413] top1_acc: 0.6519, top5_acc: 0.9106, mean_class_accuracy: 0.6488 |
| 2025-06-01 22:08:36,993 - pyskl - INFO - Epoch [76][100/1027] lr: 1.247e-02, eta: 8:30:25, time: 0.656, data_time: 0.271, memory: 7959, top1_acc: 0.6925, top5_acc: 0.8938, loss_cls: 4.5742, loss: 4.5742 |
| 2025-06-01 22:09:15,455 - pyskl - INFO - Epoch [76][200/1027] lr: 1.245e-02, eta: 8:29:44, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6731, top5_acc: 0.8912, loss_cls: 4.6656, loss: 4.6656 |
| 2025-06-01 22:09:54,260 - pyskl - INFO - Epoch [76][300/1027] lr: 1.242e-02, eta: 8:29:03, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8956, loss_cls: 4.6115, loss: 4.6115 |
| 2025-06-01 22:10:32,809 - pyskl - INFO - Epoch [76][400/1027] lr: 1.240e-02, eta: 8:28:22, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6462, top5_acc: 0.8769, loss_cls: 4.8920, loss: 4.8920 |
| 2025-06-01 22:11:11,221 - pyskl - INFO - Epoch [76][500/1027] lr: 1.237e-02, eta: 8:27:41, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6550, top5_acc: 0.8725, loss_cls: 4.7440, loss: 4.7440 |
| 2025-06-01 22:11:49,643 - pyskl - INFO - Epoch [76][600/1027] lr: 1.235e-02, eta: 8:27:00, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6381, top5_acc: 0.8688, loss_cls: 4.8010, loss: 4.8010 |
| 2025-06-01 22:12:28,258 - pyskl - INFO - Epoch [76][700/1027] lr: 1.232e-02, eta: 8:26:19, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6269, top5_acc: 0.8812, loss_cls: 4.8487, loss: 4.8487 |
| 2025-06-01 22:13:08,389 - pyskl - INFO - Epoch [76][800/1027] lr: 1.230e-02, eta: 8:25:39, time: 0.401, data_time: 0.000, memory: 7959, top1_acc: 0.6238, top5_acc: 0.8844, loss_cls: 4.8815, loss: 4.8815 |
| 2025-06-01 22:13:48,386 - pyskl - INFO - Epoch [76][900/1027] lr: 1.227e-02, eta: 8:25:00, time: 0.400, data_time: 0.000, memory: 7959, top1_acc: 0.6144, top5_acc: 0.8644, loss_cls: 4.9250, loss: 4.9250 |
| 2025-06-01 22:14:28,375 - pyskl - INFO - Epoch [76][1000/1027] lr: 1.225e-02, eta: 8:24:20, time: 0.400, data_time: 0.000, memory: 7959, top1_acc: 0.6231, top5_acc: 0.8794, loss_cls: 4.8727, loss: 4.8727 |
| 2025-06-01 22:14:39,939 - pyskl - INFO - Saving checkpoint at 76 epochs |
| 2025-06-01 22:15:16,922 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 22:15:16,999 - pyskl - INFO - |
| top1_acc 0.6495 |
| top5_acc 0.9120 |
| 2025-06-01 22:15:16,999 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 22:15:17,008 - pyskl - INFO - |
| mean_acc 0.6510 |
| 2025-06-01 22:15:17,009 - pyskl - INFO - Epoch(val) [76][413] top1_acc: 0.6495, top5_acc: 0.9120, mean_class_accuracy: 0.6510 |
| 2025-06-01 22:16:20,767 - pyskl - INFO - Epoch [77][100/1027] lr: 1.221e-02, eta: 8:23:42, time: 0.638, data_time: 0.257, memory: 7959, top1_acc: 0.6700, top5_acc: 0.8950, loss_cls: 4.6818, loss: 4.6818 |
| 2025-06-01 22:16:58,946 - pyskl - INFO - Epoch [77][200/1027] lr: 1.219e-02, eta: 8:23:01, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6856, top5_acc: 0.9012, loss_cls: 4.7459, loss: 4.7459 |
| 2025-06-01 22:17:37,504 - pyskl - INFO - Epoch [77][300/1027] lr: 1.216e-02, eta: 8:22:20, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6681, top5_acc: 0.8812, loss_cls: 4.7532, loss: 4.7532 |
| 2025-06-01 22:18:16,154 - pyskl - INFO - Epoch [77][400/1027] lr: 1.214e-02, eta: 8:21:39, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6650, top5_acc: 0.8888, loss_cls: 4.6566, loss: 4.6566 |
| 2025-06-01 22:18:54,556 - pyskl - INFO - Epoch [77][500/1027] lr: 1.211e-02, eta: 8:20:58, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8806, loss_cls: 4.8110, loss: 4.8110 |
| 2025-06-01 22:19:32,792 - pyskl - INFO - Epoch [77][600/1027] lr: 1.209e-02, eta: 8:20:16, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6406, top5_acc: 0.8812, loss_cls: 4.8682, loss: 4.8682 |
| 2025-06-01 22:20:11,160 - pyskl - INFO - Epoch [77][700/1027] lr: 1.206e-02, eta: 8:19:35, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8881, loss_cls: 4.7577, loss: 4.7577 |
| 2025-06-01 22:20:49,248 - pyskl - INFO - Epoch [77][800/1027] lr: 1.203e-02, eta: 8:18:54, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6544, top5_acc: 0.8756, loss_cls: 4.6653, loss: 4.6653 |
| 2025-06-01 22:21:27,368 - pyskl - INFO - Epoch [77][900/1027] lr: 1.201e-02, eta: 8:18:12, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6269, top5_acc: 0.8681, loss_cls: 4.9274, loss: 4.9274 |
| 2025-06-01 22:22:05,468 - pyskl - INFO - Epoch [77][1000/1027] lr: 1.198e-02, eta: 8:17:31, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8738, loss_cls: 4.8789, loss: 4.8789 |
| 2025-06-01 22:22:16,668 - pyskl - INFO - Saving checkpoint at 77 epochs |
| 2025-06-01 22:22:53,726 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 22:22:53,801 - pyskl - INFO - |
| top1_acc 0.6383 |
| top5_acc 0.9036 |
| 2025-06-01 22:22:53,802 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 22:22:53,810 - pyskl - INFO - |
| mean_acc 0.6349 |
| 2025-06-01 22:22:53,813 - pyskl - INFO - Epoch(val) [77][413] top1_acc: 0.6383, top5_acc: 0.9036, mean_class_accuracy: 0.6349 |
| 2025-06-01 22:23:57,945 - pyskl - INFO - Epoch [78][100/1027] lr: 1.195e-02, eta: 8:16:53, time: 0.641, data_time: 0.256, memory: 7959, top1_acc: 0.6781, top5_acc: 0.9038, loss_cls: 4.5464, loss: 4.5464 |
| 2025-06-01 22:24:35,982 - pyskl - INFO - Epoch [78][200/1027] lr: 1.193e-02, eta: 8:16:12, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6644, top5_acc: 0.8994, loss_cls: 4.6850, loss: 4.6850 |
| 2025-06-01 22:25:14,942 - pyskl - INFO - Epoch [78][300/1027] lr: 1.190e-02, eta: 8:15:31, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.6813, top5_acc: 0.8944, loss_cls: 4.6113, loss: 4.6113 |
| 2025-06-01 22:25:53,813 - pyskl - INFO - Epoch [78][400/1027] lr: 1.187e-02, eta: 8:14:50, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.6481, top5_acc: 0.8862, loss_cls: 4.8827, loss: 4.8827 |
| 2025-06-01 22:26:32,220 - pyskl - INFO - Epoch [78][500/1027] lr: 1.185e-02, eta: 8:14:09, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8800, loss_cls: 4.7972, loss: 4.7972 |
| 2025-06-01 22:27:10,492 - pyskl - INFO - Epoch [78][600/1027] lr: 1.182e-02, eta: 8:13:28, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8875, loss_cls: 4.6017, loss: 4.6017 |
| 2025-06-01 22:27:48,791 - pyskl - INFO - Epoch [78][700/1027] lr: 1.180e-02, eta: 8:12:47, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8875, loss_cls: 4.7860, loss: 4.7860 |
| 2025-06-01 22:28:26,862 - pyskl - INFO - Epoch [78][800/1027] lr: 1.177e-02, eta: 8:12:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6531, top5_acc: 0.8750, loss_cls: 4.7679, loss: 4.7679 |
| 2025-06-01 22:29:04,852 - pyskl - INFO - Epoch [78][900/1027] lr: 1.175e-02, eta: 8:11:24, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8756, loss_cls: 4.8422, loss: 4.8422 |
| 2025-06-01 22:29:42,899 - pyskl - INFO - Epoch [78][1000/1027] lr: 1.172e-02, eta: 8:10:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6469, top5_acc: 0.8606, loss_cls: 4.8998, loss: 4.8998 |
| 2025-06-01 22:29:53,989 - pyskl - INFO - Saving checkpoint at 78 epochs |
| 2025-06-01 22:30:30,997 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 22:30:31,068 - pyskl - INFO - |
| top1_acc 0.6319 |
| top5_acc 0.8994 |
| 2025-06-01 22:30:31,068 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 22:30:31,076 - pyskl - INFO - |
| mean_acc 0.6284 |
| 2025-06-01 22:30:31,077 - pyskl - INFO - Epoch(val) [78][413] top1_acc: 0.6319, top5_acc: 0.8994, mean_class_accuracy: 0.6284 |
| 2025-06-01 22:31:34,304 - pyskl - INFO - Epoch [79][100/1027] lr: 1.169e-02, eta: 8:10:04, time: 0.632, data_time: 0.251, memory: 7959, top1_acc: 0.6731, top5_acc: 0.9094, loss_cls: 4.5434, loss: 4.5434 |
| 2025-06-01 22:32:12,451 - pyskl - INFO - Epoch [79][200/1027] lr: 1.166e-02, eta: 8:09:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6737, top5_acc: 0.8912, loss_cls: 4.6599, loss: 4.6599 |
| 2025-06-01 22:32:51,010 - pyskl - INFO - Epoch [79][300/1027] lr: 1.164e-02, eta: 8:08:41, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6650, top5_acc: 0.8906, loss_cls: 4.6609, loss: 4.6609 |
| 2025-06-01 22:33:29,689 - pyskl - INFO - Epoch [79][400/1027] lr: 1.161e-02, eta: 8:08:00, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8744, loss_cls: 4.8657, loss: 4.8657 |
| 2025-06-01 22:34:08,707 - pyskl - INFO - Epoch [79][500/1027] lr: 1.159e-02, eta: 8:07:20, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.6531, top5_acc: 0.8900, loss_cls: 4.6475, loss: 4.6475 |
| 2025-06-01 22:34:47,116 - pyskl - INFO - Epoch [79][600/1027] lr: 1.156e-02, eta: 8:06:39, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6775, top5_acc: 0.8900, loss_cls: 4.5869, loss: 4.5869 |
| 2025-06-01 22:35:26,024 - pyskl - INFO - Epoch [79][700/1027] lr: 1.154e-02, eta: 8:05:58, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.6613, top5_acc: 0.8769, loss_cls: 4.8035, loss: 4.8035 |
| 2025-06-01 22:36:04,081 - pyskl - INFO - Epoch [79][800/1027] lr: 1.151e-02, eta: 8:05:17, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6669, top5_acc: 0.8894, loss_cls: 4.7335, loss: 4.7335 |
| 2025-06-01 22:36:42,055 - pyskl - INFO - Epoch [79][900/1027] lr: 1.149e-02, eta: 8:04:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6587, top5_acc: 0.8825, loss_cls: 4.7751, loss: 4.7751 |
| 2025-06-01 22:37:20,508 - pyskl - INFO - Epoch [79][1000/1027] lr: 1.146e-02, eta: 8:03:54, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8856, loss_cls: 4.8255, loss: 4.8255 |
| 2025-06-01 22:37:32,033 - pyskl - INFO - Saving checkpoint at 79 epochs |
| 2025-06-01 22:38:09,366 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 22:38:09,437 - pyskl - INFO - |
| top1_acc 0.6489 |
| top5_acc 0.9048 |
| 2025-06-01 22:38:09,438 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 22:38:09,446 - pyskl - INFO - |
| mean_acc 0.6526 |
| 2025-06-01 22:38:09,448 - pyskl - INFO - Epoch(val) [79][413] top1_acc: 0.6489, top5_acc: 0.9048, mean_class_accuracy: 0.6526 |
| 2025-06-01 22:39:12,996 - pyskl - INFO - Epoch [80][100/1027] lr: 1.143e-02, eta: 8:03:15, time: 0.635, data_time: 0.254, memory: 7959, top1_acc: 0.7069, top5_acc: 0.9137, loss_cls: 4.4789, loss: 4.4789 |
| 2025-06-01 22:39:51,300 - pyskl - INFO - Epoch [80][200/1027] lr: 1.140e-02, eta: 8:02:34, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6869, top5_acc: 0.9075, loss_cls: 4.5874, loss: 4.5874 |
| 2025-06-01 22:40:29,676 - pyskl - INFO - Epoch [80][300/1027] lr: 1.138e-02, eta: 8:01:53, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6706, top5_acc: 0.8838, loss_cls: 4.6522, loss: 4.6522 |
| 2025-06-01 22:41:08,058 - pyskl - INFO - Epoch [80][400/1027] lr: 1.135e-02, eta: 8:01:12, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6606, top5_acc: 0.8781, loss_cls: 4.7982, loss: 4.7982 |
| 2025-06-01 22:41:45,769 - pyskl - INFO - Epoch [80][500/1027] lr: 1.133e-02, eta: 8:00:30, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6819, top5_acc: 0.8925, loss_cls: 4.6098, loss: 4.6098 |
| 2025-06-01 22:42:23,666 - pyskl - INFO - Epoch [80][600/1027] lr: 1.130e-02, eta: 7:59:49, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8756, loss_cls: 4.6555, loss: 4.6555 |
| 2025-06-01 22:43:00,955 - pyskl - INFO - Epoch [80][700/1027] lr: 1.128e-02, eta: 7:59:07, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6631, top5_acc: 0.8912, loss_cls: 4.5429, loss: 4.5429 |
| 2025-06-01 22:43:38,241 - pyskl - INFO - Epoch [80][800/1027] lr: 1.125e-02, eta: 7:58:25, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6587, top5_acc: 0.8844, loss_cls: 4.7167, loss: 4.7167 |
| 2025-06-01 22:44:15,535 - pyskl - INFO - Epoch [80][900/1027] lr: 1.123e-02, eta: 7:57:43, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6462, top5_acc: 0.8688, loss_cls: 4.8385, loss: 4.8385 |
| 2025-06-01 22:44:52,925 - pyskl - INFO - Epoch [80][1000/1027] lr: 1.120e-02, eta: 7:57:01, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6438, top5_acc: 0.8775, loss_cls: 4.7450, loss: 4.7450 |
| 2025-06-01 22:45:03,666 - pyskl - INFO - Saving checkpoint at 80 epochs |
| 2025-06-01 23:04:44,867 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 23:04:44,951 - pyskl - INFO - |
| top1_acc 0.6545 |
| top5_acc 0.9114 |
| 2025-06-01 23:04:44,951 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 23:04:44,960 - pyskl - INFO - |
| mean_acc 0.6515 |
| 2025-06-01 23:04:45,029 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_72.pth was removed |
| 2025-06-01 23:04:46,936 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_80.pth. |
| 2025-06-01 23:04:46,938 - pyskl - INFO - Best top1_acc is 0.6545 at 80 epoch. |
| 2025-06-01 23:04:46,946 - pyskl - INFO - Epoch(val) [80][413] top1_acc: 0.6545, top5_acc: 0.9114, mean_class_accuracy: 0.6515 |
| 2025-06-01 23:05:51,673 - pyskl - INFO - Epoch [81][100/1027] lr: 1.117e-02, eta: 7:56:23, time: 0.647, data_time: 0.263, memory: 7959, top1_acc: 0.7006, top5_acc: 0.9006, loss_cls: 4.5740, loss: 4.5740 |
| 2025-06-01 23:06:30,344 - pyskl - INFO - Epoch [81][200/1027] lr: 1.114e-02, eta: 7:55:42, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.6944, top5_acc: 0.9137, loss_cls: 4.5689, loss: 4.5689 |
| 2025-06-01 23:07:08,957 - pyskl - INFO - Epoch [81][300/1027] lr: 1.112e-02, eta: 7:55:01, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6669, top5_acc: 0.8931, loss_cls: 4.6580, loss: 4.6580 |
| 2025-06-01 23:07:47,161 - pyskl - INFO - Epoch [81][400/1027] lr: 1.109e-02, eta: 7:54:20, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6837, top5_acc: 0.8975, loss_cls: 4.5647, loss: 4.5647 |
| 2025-06-01 23:08:25,278 - pyskl - INFO - Epoch [81][500/1027] lr: 1.107e-02, eta: 7:53:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6681, top5_acc: 0.8875, loss_cls: 4.6906, loss: 4.6906 |
| 2025-06-01 23:09:03,517 - pyskl - INFO - Epoch [81][600/1027] lr: 1.104e-02, eta: 7:52:57, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6725, top5_acc: 0.8975, loss_cls: 4.6021, loss: 4.6021 |
| 2025-06-01 23:09:41,702 - pyskl - INFO - Epoch [81][700/1027] lr: 1.102e-02, eta: 7:52:16, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6775, top5_acc: 0.8950, loss_cls: 4.6609, loss: 4.6609 |
| 2025-06-01 23:10:19,787 - pyskl - INFO - Epoch [81][800/1027] lr: 1.099e-02, eta: 7:51:35, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6581, top5_acc: 0.8819, loss_cls: 4.7502, loss: 4.7502 |
| 2025-06-01 23:10:57,827 - pyskl - INFO - Epoch [81][900/1027] lr: 1.097e-02, eta: 7:50:54, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6544, top5_acc: 0.8894, loss_cls: 4.6887, loss: 4.6887 |
| 2025-06-01 23:11:35,913 - pyskl - INFO - Epoch [81][1000/1027] lr: 1.094e-02, eta: 7:50:12, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6575, top5_acc: 0.8794, loss_cls: 4.7142, loss: 4.7142 |
| 2025-06-01 23:11:46,922 - pyskl - INFO - Saving checkpoint at 81 epochs |
| 2025-06-01 23:12:24,283 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 23:12:24,355 - pyskl - INFO - |
| top1_acc 0.6172 |
| top5_acc 0.8963 |
| 2025-06-01 23:12:24,356 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 23:12:24,364 - pyskl - INFO - |
| mean_acc 0.6116 |
| 2025-06-01 23:12:24,365 - pyskl - INFO - Epoch(val) [81][413] top1_acc: 0.6172, top5_acc: 0.8963, mean_class_accuracy: 0.6116 |
| 2025-06-01 23:13:29,055 - pyskl - INFO - Epoch [82][100/1027] lr: 1.091e-02, eta: 7:49:34, time: 0.647, data_time: 0.261, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9050, loss_cls: 4.4693, loss: 4.4693 |
| 2025-06-01 23:14:07,977 - pyskl - INFO - Epoch [82][200/1027] lr: 1.088e-02, eta: 7:48:53, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.6663, top5_acc: 0.9044, loss_cls: 4.4902, loss: 4.4902 |
| 2025-06-01 23:14:46,392 - pyskl - INFO - Epoch [82][300/1027] lr: 1.086e-02, eta: 7:48:12, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6906, top5_acc: 0.9019, loss_cls: 4.4862, loss: 4.4862 |
| 2025-06-01 23:15:24,595 - pyskl - INFO - Epoch [82][400/1027] lr: 1.083e-02, eta: 7:47:31, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.9006, loss_cls: 4.5882, loss: 4.5882 |
| 2025-06-01 23:16:02,599 - pyskl - INFO - Epoch [82][500/1027] lr: 1.081e-02, eta: 7:46:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6713, top5_acc: 0.8831, loss_cls: 4.5815, loss: 4.5815 |
| 2025-06-01 23:16:40,729 - pyskl - INFO - Epoch [82][600/1027] lr: 1.078e-02, eta: 7:46:08, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6800, top5_acc: 0.8956, loss_cls: 4.6203, loss: 4.6203 |
| 2025-06-01 23:17:18,926 - pyskl - INFO - Epoch [82][700/1027] lr: 1.076e-02, eta: 7:45:27, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6594, top5_acc: 0.8906, loss_cls: 4.5862, loss: 4.5862 |
| 2025-06-01 23:17:57,003 - pyskl - INFO - Epoch [82][800/1027] lr: 1.073e-02, eta: 7:44:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6456, top5_acc: 0.8931, loss_cls: 4.7551, loss: 4.7551 |
| 2025-06-01 23:18:35,017 - pyskl - INFO - Epoch [82][900/1027] lr: 1.071e-02, eta: 7:44:05, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6456, top5_acc: 0.8825, loss_cls: 4.7668, loss: 4.7668 |
| 2025-06-01 23:19:13,047 - pyskl - INFO - Epoch [82][1000/1027] lr: 1.068e-02, eta: 7:43:24, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6619, top5_acc: 0.8850, loss_cls: 4.6757, loss: 4.6757 |
| 2025-06-01 23:19:24,113 - pyskl - INFO - Saving checkpoint at 82 epochs |
| 2025-06-01 23:20:01,743 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 23:20:01,815 - pyskl - INFO - |
| top1_acc 0.6445 |
| top5_acc 0.9029 |
| 2025-06-01 23:20:01,815 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 23:20:01,822 - pyskl - INFO - |
| mean_acc 0.6370 |
| 2025-06-01 23:20:01,824 - pyskl - INFO - Epoch(val) [82][413] top1_acc: 0.6445, top5_acc: 0.9029, mean_class_accuracy: 0.6370 |
| 2025-06-01 23:21:05,493 - pyskl - INFO - Epoch [83][100/1027] lr: 1.065e-02, eta: 7:42:44, time: 0.637, data_time: 0.252, memory: 7959, top1_acc: 0.6913, top5_acc: 0.9169, loss_cls: 4.4767, loss: 4.4767 |
| 2025-06-01 23:21:44,016 - pyskl - INFO - Epoch [83][200/1027] lr: 1.062e-02, eta: 7:42:03, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6825, top5_acc: 0.9100, loss_cls: 4.4817, loss: 4.4817 |
| 2025-06-01 23:22:22,477 - pyskl - INFO - Epoch [83][300/1027] lr: 1.060e-02, eta: 7:41:22, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7031, top5_acc: 0.9081, loss_cls: 4.5897, loss: 4.5897 |
| 2025-06-01 23:23:00,774 - pyskl - INFO - Epoch [83][400/1027] lr: 1.057e-02, eta: 7:40:41, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6919, top5_acc: 0.8981, loss_cls: 4.6083, loss: 4.6083 |
| 2025-06-01 23:23:38,903 - pyskl - INFO - Epoch [83][500/1027] lr: 1.055e-02, eta: 7:40:00, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7000, top5_acc: 0.9113, loss_cls: 4.4590, loss: 4.4590 |
| 2025-06-01 23:24:17,107 - pyskl - INFO - Epoch [83][600/1027] lr: 1.052e-02, eta: 7:39:19, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6806, top5_acc: 0.8844, loss_cls: 4.6203, loss: 4.6203 |
| 2025-06-01 23:24:55,381 - pyskl - INFO - Epoch [83][700/1027] lr: 1.050e-02, eta: 7:38:38, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6519, top5_acc: 0.8831, loss_cls: 4.8420, loss: 4.8420 |
| 2025-06-01 23:25:33,815 - pyskl - INFO - Epoch [83][800/1027] lr: 1.047e-02, eta: 7:37:57, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6813, top5_acc: 0.9025, loss_cls: 4.4867, loss: 4.4867 |
| 2025-06-01 23:26:12,463 - pyskl - INFO - Epoch [83][900/1027] lr: 1.045e-02, eta: 7:37:16, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6637, top5_acc: 0.9006, loss_cls: 4.7567, loss: 4.7567 |
| 2025-06-01 23:26:51,112 - pyskl - INFO - Epoch [83][1000/1027] lr: 1.042e-02, eta: 7:36:35, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6656, top5_acc: 0.8919, loss_cls: 4.6766, loss: 4.6766 |
| 2025-06-01 23:27:02,339 - pyskl - INFO - Saving checkpoint at 83 epochs |
| 2025-06-01 23:27:39,608 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 23:27:39,679 - pyskl - INFO - |
| top1_acc 0.6551 |
| top5_acc 0.9063 |
| 2025-06-01 23:27:39,679 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 23:27:39,686 - pyskl - INFO - |
| mean_acc 0.6519 |
| 2025-06-01 23:27:39,744 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_80.pth was removed |
| 2025-06-01 23:27:41,253 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_83.pth. |
| 2025-06-01 23:27:41,255 - pyskl - INFO - Best top1_acc is 0.6551 at 83 epoch. |
| 2025-06-01 23:27:41,258 - pyskl - INFO - Epoch(val) [83][413] top1_acc: 0.6551, top5_acc: 0.9063, mean_class_accuracy: 0.6519 |
| 2025-06-01 23:28:47,252 - pyskl - INFO - Epoch [84][100/1027] lr: 1.039e-02, eta: 7:35:57, time: 0.660, data_time: 0.272, memory: 7959, top1_acc: 0.7225, top5_acc: 0.9144, loss_cls: 4.4492, loss: 4.4492 |
| 2025-06-01 23:29:25,908 - pyskl - INFO - Epoch [84][200/1027] lr: 1.037e-02, eta: 7:35:16, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.7006, top5_acc: 0.9250, loss_cls: 4.5525, loss: 4.5525 |
| 2025-06-01 23:30:04,398 - pyskl - INFO - Epoch [84][300/1027] lr: 1.034e-02, eta: 7:34:36, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6775, top5_acc: 0.9069, loss_cls: 4.5575, loss: 4.5575 |
| 2025-06-01 23:30:43,003 - pyskl - INFO - Epoch [84][400/1027] lr: 1.032e-02, eta: 7:33:55, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6963, top5_acc: 0.9094, loss_cls: 4.4492, loss: 4.4492 |
| 2025-06-01 23:31:21,536 - pyskl - INFO - Epoch [84][500/1027] lr: 1.029e-02, eta: 7:33:14, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6994, top5_acc: 0.9150, loss_cls: 4.4660, loss: 4.4660 |
| 2025-06-01 23:32:01,145 - pyskl - INFO - Epoch [84][600/1027] lr: 1.026e-02, eta: 7:32:34, time: 0.396, data_time: 0.000, memory: 7959, top1_acc: 0.6869, top5_acc: 0.8938, loss_cls: 4.7235, loss: 4.7235 |
| 2025-06-01 23:32:40,766 - pyskl - INFO - Epoch [84][700/1027] lr: 1.024e-02, eta: 7:31:54, time: 0.396, data_time: 0.000, memory: 7959, top1_acc: 0.6800, top5_acc: 0.8994, loss_cls: 4.5883, loss: 4.5883 |
| 2025-06-01 23:33:21,021 - pyskl - INFO - Epoch [84][800/1027] lr: 1.021e-02, eta: 7:31:15, time: 0.403, data_time: 0.000, memory: 7959, top1_acc: 0.6850, top5_acc: 0.9006, loss_cls: 4.4918, loss: 4.4918 |
| 2025-06-01 23:34:00,999 - pyskl - INFO - Epoch [84][900/1027] lr: 1.019e-02, eta: 7:30:35, time: 0.400, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8944, loss_cls: 4.6682, loss: 4.6682 |
| 2025-06-01 23:34:41,007 - pyskl - INFO - Epoch [84][1000/1027] lr: 1.016e-02, eta: 7:29:55, time: 0.400, data_time: 0.000, memory: 7959, top1_acc: 0.6650, top5_acc: 0.9106, loss_cls: 4.5022, loss: 4.5022 |
| 2025-06-01 23:34:52,700 - pyskl - INFO - Saving checkpoint at 84 epochs |
| 2025-06-01 23:35:30,524 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 23:35:30,599 - pyskl - INFO - |
| top1_acc 0.6643 |
| top5_acc 0.9129 |
| 2025-06-01 23:35:30,599 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 23:35:30,613 - pyskl - INFO - |
| mean_acc 0.6596 |
| 2025-06-01 23:35:30,672 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_83.pth was removed |
| 2025-06-01 23:35:32,286 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_84.pth. |
| 2025-06-01 23:35:32,287 - pyskl - INFO - Best top1_acc is 0.6643 at 84 epoch. |
| 2025-06-01 23:35:32,292 - pyskl - INFO - Epoch(val) [84][413] top1_acc: 0.6643, top5_acc: 0.9129, mean_class_accuracy: 0.6596 |
| 2025-06-01 23:36:38,937 - pyskl - INFO - Epoch [85][100/1027] lr: 1.013e-02, eta: 7:29:17, time: 0.666, data_time: 0.277, memory: 7959, top1_acc: 0.7238, top5_acc: 0.9156, loss_cls: 4.4259, loss: 4.4259 |
| 2025-06-01 23:37:17,509 - pyskl - INFO - Epoch [85][200/1027] lr: 1.011e-02, eta: 7:28:36, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6906, top5_acc: 0.9181, loss_cls: 4.4690, loss: 4.4690 |
| 2025-06-01 23:37:55,858 - pyskl - INFO - Epoch [85][300/1027] lr: 1.008e-02, eta: 7:27:55, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7137, top5_acc: 0.9100, loss_cls: 4.4645, loss: 4.4645 |
| 2025-06-01 23:38:34,156 - pyskl - INFO - Epoch [85][400/1027] lr: 1.006e-02, eta: 7:27:14, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6963, top5_acc: 0.9119, loss_cls: 4.4109, loss: 4.4109 |
| 2025-06-01 23:39:12,322 - pyskl - INFO - Epoch [85][500/1027] lr: 1.003e-02, eta: 7:26:33, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6913, top5_acc: 0.9056, loss_cls: 4.6000, loss: 4.6000 |
| 2025-06-01 23:39:50,620 - pyskl - INFO - Epoch [85][600/1027] lr: 1.001e-02, eta: 7:25:52, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6956, top5_acc: 0.9113, loss_cls: 4.5197, loss: 4.5197 |
| 2025-06-01 23:40:28,387 - pyskl - INFO - Epoch [85][700/1027] lr: 9.983e-03, eta: 7:25:11, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6894, top5_acc: 0.9050, loss_cls: 4.5298, loss: 4.5298 |
| 2025-06-01 23:41:06,207 - pyskl - INFO - Epoch [85][800/1027] lr: 9.958e-03, eta: 7:24:30, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6937, top5_acc: 0.9012, loss_cls: 4.5290, loss: 4.5290 |
| 2025-06-01 23:41:44,077 - pyskl - INFO - Epoch [85][900/1027] lr: 9.933e-03, eta: 7:23:48, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6700, top5_acc: 0.8975, loss_cls: 4.6501, loss: 4.6501 |
| 2025-06-01 23:42:21,982 - pyskl - INFO - Epoch [85][1000/1027] lr: 9.908e-03, eta: 7:23:07, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6562, top5_acc: 0.8919, loss_cls: 4.7476, loss: 4.7476 |
| 2025-06-01 23:42:32,996 - pyskl - INFO - Saving checkpoint at 85 epochs |
| 2025-06-02 00:01:15,997 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 00:01:16,071 - pyskl - INFO - |
| top1_acc 0.6422 |
| top5_acc 0.8983 |
| 2025-06-02 00:01:16,071 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 00:01:16,079 - pyskl - INFO - |
| mean_acc 0.6413 |
| 2025-06-02 00:01:16,081 - pyskl - INFO - Epoch(val) [85][413] top1_acc: 0.6422, top5_acc: 0.8983, mean_class_accuracy: 0.6413 |
| 2025-06-02 00:02:19,210 - pyskl - INFO - Epoch [86][100/1027] lr: 9.876e-03, eta: 7:22:26, time: 0.631, data_time: 0.250, memory: 7959, top1_acc: 0.6913, top5_acc: 0.9006, loss_cls: 4.5630, loss: 4.5630 |
| 2025-06-02 00:02:57,879 - pyskl - INFO - Epoch [86][200/1027] lr: 9.852e-03, eta: 7:21:45, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.7125, top5_acc: 0.9006, loss_cls: 4.4563, loss: 4.4563 |
| 2025-06-02 00:03:36,023 - pyskl - INFO - Epoch [86][300/1027] lr: 9.827e-03, eta: 7:21:04, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6875, top5_acc: 0.9094, loss_cls: 4.5340, loss: 4.5340 |
| 2025-06-02 00:04:14,123 - pyskl - INFO - Epoch [86][400/1027] lr: 9.802e-03, eta: 7:20:23, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7000, top5_acc: 0.9094, loss_cls: 4.5415, loss: 4.5415 |
| 2025-06-02 00:04:52,348 - pyskl - INFO - Epoch [86][500/1027] lr: 9.777e-03, eta: 7:19:42, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7056, top5_acc: 0.9163, loss_cls: 4.4127, loss: 4.4127 |
| 2025-06-02 00:05:30,661 - pyskl - INFO - Epoch [86][600/1027] lr: 9.752e-03, eta: 7:19:01, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6925, top5_acc: 0.9156, loss_cls: 4.4911, loss: 4.4911 |
| 2025-06-02 00:06:08,662 - pyskl - INFO - Epoch [86][700/1027] lr: 9.727e-03, eta: 7:18:20, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6900, top5_acc: 0.9069, loss_cls: 4.4561, loss: 4.4561 |
| 2025-06-02 00:06:46,787 - pyskl - INFO - Epoch [86][800/1027] lr: 9.702e-03, eta: 7:17:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6781, top5_acc: 0.8962, loss_cls: 4.6318, loss: 4.6318 |
| 2025-06-02 00:07:24,897 - pyskl - INFO - Epoch [86][900/1027] lr: 9.677e-03, eta: 7:16:58, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6713, top5_acc: 0.9006, loss_cls: 4.5760, loss: 4.5760 |
| 2025-06-02 00:08:02,918 - pyskl - INFO - Epoch [86][1000/1027] lr: 9.653e-03, eta: 7:16:17, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6656, top5_acc: 0.8981, loss_cls: 4.5602, loss: 4.5602 |
| 2025-06-02 00:08:13,915 - pyskl - INFO - Saving checkpoint at 86 epochs |
| 2025-06-02 00:08:50,857 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 00:08:50,927 - pyskl - INFO - |
| top1_acc 0.6625 |
| top5_acc 0.9129 |
| 2025-06-02 00:08:50,928 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 00:08:50,935 - pyskl - INFO - |
| mean_acc 0.6581 |
| 2025-06-02 00:08:50,937 - pyskl - INFO - Epoch(val) [86][413] top1_acc: 0.6625, top5_acc: 0.9129, mean_class_accuracy: 0.6581 |
| 2025-06-02 00:09:53,954 - pyskl - INFO - Epoch [87][100/1027] lr: 9.621e-03, eta: 7:15:35, time: 0.630, data_time: 0.249, memory: 7959, top1_acc: 0.7094, top5_acc: 0.9194, loss_cls: 4.4748, loss: 4.4748 |
| 2025-06-02 00:10:32,407 - pyskl - INFO - Epoch [87][200/1027] lr: 9.596e-03, eta: 7:14:54, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7188, top5_acc: 0.9187, loss_cls: 4.3737, loss: 4.3737 |
| 2025-06-02 00:11:10,632 - pyskl - INFO - Epoch [87][300/1027] lr: 9.571e-03, eta: 7:14:13, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7119, top5_acc: 0.9194, loss_cls: 4.4610, loss: 4.4610 |
| 2025-06-02 00:11:48,584 - pyskl - INFO - Epoch [87][400/1027] lr: 9.547e-03, eta: 7:13:32, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7350, top5_acc: 0.9156, loss_cls: 4.4163, loss: 4.4163 |
| 2025-06-02 00:12:26,505 - pyskl - INFO - Epoch [87][500/1027] lr: 9.522e-03, eta: 7:12:51, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7212, top5_acc: 0.9081, loss_cls: 4.4503, loss: 4.4503 |
| 2025-06-02 00:13:04,486 - pyskl - INFO - Epoch [87][600/1027] lr: 9.497e-03, eta: 7:12:10, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6963, top5_acc: 0.9131, loss_cls: 4.4872, loss: 4.4872 |
| 2025-06-02 00:13:42,392 - pyskl - INFO - Epoch [87][700/1027] lr: 9.472e-03, eta: 7:11:29, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7094, top5_acc: 0.9125, loss_cls: 4.4469, loss: 4.4469 |
| 2025-06-02 00:14:20,554 - pyskl - INFO - Epoch [87][800/1027] lr: 9.448e-03, eta: 7:10:48, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6781, top5_acc: 0.9062, loss_cls: 4.5143, loss: 4.5143 |
| 2025-06-02 00:14:58,592 - pyskl - INFO - Epoch [87][900/1027] lr: 9.423e-03, eta: 7:10:06, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7063, top5_acc: 0.9119, loss_cls: 4.3642, loss: 4.3642 |
| 2025-06-02 00:15:36,496 - pyskl - INFO - Epoch [87][1000/1027] lr: 9.398e-03, eta: 7:09:25, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6875, top5_acc: 0.9056, loss_cls: 4.4457, loss: 4.4457 |
| 2025-06-02 00:15:47,447 - pyskl - INFO - Saving checkpoint at 87 epochs |
| 2025-06-02 00:16:24,438 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 00:16:24,508 - pyskl - INFO - |
| top1_acc 0.6574 |
| top5_acc 0.9144 |
| 2025-06-02 00:16:24,509 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 00:16:24,517 - pyskl - INFO - |
| mean_acc 0.6619 |
| 2025-06-02 00:16:24,518 - pyskl - INFO - Epoch(val) [87][413] top1_acc: 0.6574, top5_acc: 0.9144, mean_class_accuracy: 0.6619 |
| 2025-06-02 00:17:27,791 - pyskl - INFO - Epoch [88][100/1027] lr: 9.367e-03, eta: 7:08:44, time: 0.633, data_time: 0.251, memory: 7959, top1_acc: 0.7344, top5_acc: 0.9175, loss_cls: 4.3878, loss: 4.3878 |
| 2025-06-02 00:18:06,197 - pyskl - INFO - Epoch [88][200/1027] lr: 9.342e-03, eta: 7:08:03, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7325, top5_acc: 0.9263, loss_cls: 4.2970, loss: 4.2970 |
| 2025-06-02 00:18:44,318 - pyskl - INFO - Epoch [88][300/1027] lr: 9.318e-03, eta: 7:07:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6850, top5_acc: 0.9087, loss_cls: 4.4509, loss: 4.4509 |
| 2025-06-02 00:19:22,351 - pyskl - INFO - Epoch [88][400/1027] lr: 9.293e-03, eta: 7:06:41, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7119, top5_acc: 0.9225, loss_cls: 4.3230, loss: 4.3230 |
| 2025-06-02 00:20:00,615 - pyskl - INFO - Epoch [88][500/1027] lr: 9.268e-03, eta: 7:06:00, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6931, top5_acc: 0.9156, loss_cls: 4.3640, loss: 4.3640 |
| 2025-06-02 00:20:38,825 - pyskl - INFO - Epoch [88][600/1027] lr: 9.244e-03, eta: 7:05:19, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7200, top5_acc: 0.9263, loss_cls: 4.3643, loss: 4.3643 |
| 2025-06-02 00:21:16,859 - pyskl - INFO - Epoch [88][700/1027] lr: 9.219e-03, eta: 7:04:38, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7019, top5_acc: 0.9094, loss_cls: 4.4011, loss: 4.4011 |
| 2025-06-02 00:21:55,013 - pyskl - INFO - Epoch [88][800/1027] lr: 9.195e-03, eta: 7:03:57, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6937, top5_acc: 0.8931, loss_cls: 4.5279, loss: 4.5279 |
| 2025-06-02 00:22:33,033 - pyskl - INFO - Epoch [88][900/1027] lr: 9.170e-03, eta: 7:03:16, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6837, top5_acc: 0.8906, loss_cls: 4.5969, loss: 4.5969 |
| 2025-06-02 00:23:11,013 - pyskl - INFO - Epoch [88][1000/1027] lr: 9.145e-03, eta: 7:02:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6963, top5_acc: 0.8981, loss_cls: 4.5463, loss: 4.5463 |
| 2025-06-02 00:23:22,011 - pyskl - INFO - Saving checkpoint at 88 epochs |
| 2025-06-02 00:23:59,013 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 00:23:59,085 - pyskl - INFO - |
| top1_acc 0.6507 |
| top5_acc 0.9092 |
| 2025-06-02 00:23:59,085 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 00:23:59,092 - pyskl - INFO - |
| mean_acc 0.6491 |
| 2025-06-02 00:23:59,094 - pyskl - INFO - Epoch(val) [88][413] top1_acc: 0.6507, top5_acc: 0.9092, mean_class_accuracy: 0.6491 |
| 2025-06-02 00:25:01,962 - pyskl - INFO - Epoch [89][100/1027] lr: 9.114e-03, eta: 7:01:53, time: 0.629, data_time: 0.253, memory: 7959, top1_acc: 0.7344, top5_acc: 0.9250, loss_cls: 4.2855, loss: 4.2855 |
| 2025-06-02 00:25:40,405 - pyskl - INFO - Epoch [89][200/1027] lr: 9.090e-03, eta: 7:01:12, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7375, top5_acc: 0.9219, loss_cls: 4.3846, loss: 4.3846 |
| 2025-06-02 00:26:18,750 - pyskl - INFO - Epoch [89][300/1027] lr: 9.065e-03, eta: 7:00:31, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7444, top5_acc: 0.9169, loss_cls: 4.3022, loss: 4.3022 |
| 2025-06-02 00:26:56,820 - pyskl - INFO - Epoch [89][400/1027] lr: 9.041e-03, eta: 6:59:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9244, loss_cls: 4.4409, loss: 4.4409 |
| 2025-06-02 00:27:34,978 - pyskl - INFO - Epoch [89][500/1027] lr: 9.016e-03, eta: 6:59:09, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7269, top5_acc: 0.9219, loss_cls: 4.3361, loss: 4.3361 |
| 2025-06-02 00:28:13,331 - pyskl - INFO - Epoch [89][600/1027] lr: 8.992e-03, eta: 6:58:29, time: 0.384, data_time: 0.001, memory: 7959, top1_acc: 0.6981, top5_acc: 0.9006, loss_cls: 4.4351, loss: 4.4351 |
| 2025-06-02 00:28:51,397 - pyskl - INFO - Epoch [89][700/1027] lr: 8.967e-03, eta: 6:57:47, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7175, top5_acc: 0.9094, loss_cls: 4.4700, loss: 4.4700 |
| 2025-06-02 00:29:29,809 - pyskl - INFO - Epoch [89][800/1027] lr: 8.943e-03, eta: 6:57:07, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7081, top5_acc: 0.9125, loss_cls: 4.4260, loss: 4.4260 |
| 2025-06-02 00:30:08,004 - pyskl - INFO - Epoch [89][900/1027] lr: 8.918e-03, eta: 6:56:26, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7094, top5_acc: 0.9038, loss_cls: 4.5475, loss: 4.5475 |
| 2025-06-02 00:30:46,016 - pyskl - INFO - Epoch [89][1000/1027] lr: 8.894e-03, eta: 6:55:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7056, top5_acc: 0.9069, loss_cls: 4.5471, loss: 4.5471 |
| 2025-06-02 00:30:56,999 - pyskl - INFO - Saving checkpoint at 89 epochs |
| 2025-06-02 00:31:34,152 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 00:31:34,224 - pyskl - INFO - |
| top1_acc 0.6631 |
| top5_acc 0.9150 |
| 2025-06-02 00:31:34,225 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 00:31:34,233 - pyskl - INFO - |
| mean_acc 0.6615 |
| 2025-06-02 00:31:34,234 - pyskl - INFO - Epoch(val) [89][413] top1_acc: 0.6631, top5_acc: 0.9150, mean_class_accuracy: 0.6615 |
| 2025-06-02 00:32:37,924 - pyskl - INFO - Epoch [90][100/1027] lr: 8.863e-03, eta: 6:55:03, time: 0.637, data_time: 0.256, memory: 7959, top1_acc: 0.7294, top5_acc: 0.9175, loss_cls: 4.3060, loss: 4.3060 |
| 2025-06-02 00:33:16,265 - pyskl - INFO - Epoch [90][200/1027] lr: 8.839e-03, eta: 6:54:22, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7600, top5_acc: 0.9275, loss_cls: 4.3255, loss: 4.3255 |
| 2025-06-02 00:33:54,464 - pyskl - INFO - Epoch [90][300/1027] lr: 8.814e-03, eta: 6:53:41, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7331, top5_acc: 0.9319, loss_cls: 4.3046, loss: 4.3046 |
| 2025-06-02 00:34:32,514 - pyskl - INFO - Epoch [90][400/1027] lr: 8.790e-03, eta: 6:53:00, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7169, top5_acc: 0.9150, loss_cls: 4.3334, loss: 4.3334 |
| 2025-06-02 00:35:10,567 - pyskl - INFO - Epoch [90][500/1027] lr: 8.766e-03, eta: 6:52:19, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7356, top5_acc: 0.9337, loss_cls: 4.2828, loss: 4.2828 |
| 2025-06-02 00:35:48,379 - pyskl - INFO - Epoch [90][600/1027] lr: 8.741e-03, eta: 6:51:38, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7000, top5_acc: 0.9219, loss_cls: 4.4481, loss: 4.4481 |
| 2025-06-02 00:36:26,201 - pyskl - INFO - Epoch [90][700/1027] lr: 8.717e-03, eta: 6:50:57, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7106, top5_acc: 0.9156, loss_cls: 4.3180, loss: 4.3180 |
| 2025-06-02 00:37:04,179 - pyskl - INFO - Epoch [90][800/1027] lr: 8.693e-03, eta: 6:50:16, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6937, top5_acc: 0.9069, loss_cls: 4.4406, loss: 4.4406 |
| 2025-06-02 00:37:41,918 - pyskl - INFO - Epoch [90][900/1027] lr: 8.668e-03, eta: 6:49:35, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7106, top5_acc: 0.9150, loss_cls: 4.3839, loss: 4.3839 |
| 2025-06-02 00:38:19,592 - pyskl - INFO - Epoch [90][1000/1027] lr: 8.644e-03, eta: 6:48:54, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6919, top5_acc: 0.9006, loss_cls: 4.4352, loss: 4.4352 |
| 2025-06-02 00:38:30,723 - pyskl - INFO - Saving checkpoint at 90 epochs |
| 2025-06-02 00:58:09,541 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 00:58:09,613 - pyskl - INFO - |
| top1_acc 0.6678 |
| top5_acc 0.9133 |
| 2025-06-02 00:58:09,613 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 00:58:09,620 - pyskl - INFO - |
| mean_acc 0.6614 |
| 2025-06-02 00:58:09,678 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_84.pth was removed |
| 2025-06-02 00:58:11,304 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_90.pth. |
| 2025-06-02 00:58:11,306 - pyskl - INFO - Best top1_acc is 0.6678 at 90 epoch. |
| 2025-06-02 00:58:11,312 - pyskl - INFO - Epoch(val) [90][413] top1_acc: 0.6678, top5_acc: 0.9133, mean_class_accuracy: 0.6614 |
| 2025-06-02 00:59:14,247 - pyskl - INFO - Epoch [91][100/1027] lr: 8.613e-03, eta: 6:48:11, time: 0.629, data_time: 0.250, memory: 7959, top1_acc: 0.7469, top5_acc: 0.9356, loss_cls: 4.2591, loss: 4.2591 |
| 2025-06-02 00:59:52,507 - pyskl - INFO - Epoch [91][200/1027] lr: 8.589e-03, eta: 6:47:31, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7550, top5_acc: 0.9269, loss_cls: 4.1181, loss: 4.1181 |
| 2025-06-02 01:00:30,518 - pyskl - INFO - Epoch [91][300/1027] lr: 8.565e-03, eta: 6:46:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7288, top5_acc: 0.9294, loss_cls: 4.3133, loss: 4.3133 |
| 2025-06-02 01:01:08,636 - pyskl - INFO - Epoch [91][400/1027] lr: 8.541e-03, eta: 6:46:09, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7469, top5_acc: 0.9369, loss_cls: 4.2716, loss: 4.2716 |
| 2025-06-02 01:01:47,097 - pyskl - INFO - Epoch [91][500/1027] lr: 8.517e-03, eta: 6:45:28, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7469, top5_acc: 0.9263, loss_cls: 4.2980, loss: 4.2980 |
| 2025-06-02 01:02:25,265 - pyskl - INFO - Epoch [91][600/1027] lr: 8.492e-03, eta: 6:44:47, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7256, top5_acc: 0.9181, loss_cls: 4.4615, loss: 4.4615 |
| 2025-06-02 01:03:03,575 - pyskl - INFO - Epoch [91][700/1027] lr: 8.468e-03, eta: 6:44:06, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7056, top5_acc: 0.9187, loss_cls: 4.4137, loss: 4.4137 |
| 2025-06-02 01:03:41,981 - pyskl - INFO - Epoch [91][800/1027] lr: 8.444e-03, eta: 6:43:26, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6981, top5_acc: 0.9062, loss_cls: 4.4383, loss: 4.4383 |
| 2025-06-02 01:04:20,428 - pyskl - INFO - Epoch [91][900/1027] lr: 8.420e-03, eta: 6:42:45, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7200, top5_acc: 0.9163, loss_cls: 4.3829, loss: 4.3829 |
| 2025-06-02 01:04:58,098 - pyskl - INFO - Epoch [91][1000/1027] lr: 8.396e-03, eta: 6:42:04, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7050, top5_acc: 0.9119, loss_cls: 4.5386, loss: 4.5386 |
| 2025-06-02 01:05:09,292 - pyskl - INFO - Saving checkpoint at 91 epochs |
| 2025-06-02 01:05:46,872 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 01:05:46,944 - pyskl - INFO - |
| top1_acc 0.6509 |
| top5_acc 0.9010 |
| 2025-06-02 01:05:46,944 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 01:05:46,951 - pyskl - INFO - |
| mean_acc 0.6533 |
| 2025-06-02 01:05:46,952 - pyskl - INFO - Epoch(val) [91][413] top1_acc: 0.6509, top5_acc: 0.9010, mean_class_accuracy: 0.6533 |
| 2025-06-02 01:06:50,384 - pyskl - INFO - Epoch [92][100/1027] lr: 8.365e-03, eta: 6:41:22, time: 0.634, data_time: 0.252, memory: 7959, top1_acc: 0.7612, top5_acc: 0.9269, loss_cls: 4.1050, loss: 4.1050 |
| 2025-06-02 01:07:28,670 - pyskl - INFO - Epoch [92][200/1027] lr: 8.341e-03, eta: 6:40:41, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7625, top5_acc: 0.9337, loss_cls: 4.1399, loss: 4.1399 |
| 2025-06-02 01:08:06,816 - pyskl - INFO - Epoch [92][300/1027] lr: 8.317e-03, eta: 6:40:00, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7369, top5_acc: 0.9225, loss_cls: 4.2383, loss: 4.2383 |
| 2025-06-02 01:08:45,041 - pyskl - INFO - Epoch [92][400/1027] lr: 8.293e-03, eta: 6:39:19, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7275, top5_acc: 0.9231, loss_cls: 4.2509, loss: 4.2509 |
| 2025-06-02 01:09:23,123 - pyskl - INFO - Epoch [92][500/1027] lr: 8.269e-03, eta: 6:38:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7306, top5_acc: 0.9337, loss_cls: 4.2470, loss: 4.2470 |
| 2025-06-02 01:10:01,225 - pyskl - INFO - Epoch [92][600/1027] lr: 8.245e-03, eta: 6:37:57, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7325, top5_acc: 0.9194, loss_cls: 4.3459, loss: 4.3459 |
| 2025-06-02 01:10:39,495 - pyskl - INFO - Epoch [92][700/1027] lr: 8.221e-03, eta: 6:37:16, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7344, top5_acc: 0.9313, loss_cls: 4.2750, loss: 4.2750 |
| 2025-06-02 01:11:17,712 - pyskl - INFO - Epoch [92][800/1027] lr: 8.197e-03, eta: 6:36:36, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7381, top5_acc: 0.9113, loss_cls: 4.3888, loss: 4.3888 |
| 2025-06-02 01:11:55,943 - pyskl - INFO - Epoch [92][900/1027] lr: 8.173e-03, eta: 6:35:55, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7431, top5_acc: 0.9275, loss_cls: 4.2930, loss: 4.2930 |
| 2025-06-02 01:12:34,233 - pyskl - INFO - Epoch [92][1000/1027] lr: 8.150e-03, eta: 6:35:14, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7275, top5_acc: 0.9325, loss_cls: 4.3053, loss: 4.3053 |
| 2025-06-02 01:12:45,510 - pyskl - INFO - Saving checkpoint at 92 epochs |
| 2025-06-02 01:13:22,637 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 01:13:22,710 - pyskl - INFO - |
| top1_acc 0.6462 |
| top5_acc 0.9001 |
| 2025-06-02 01:13:22,710 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 01:13:22,718 - pyskl - INFO - |
| mean_acc 0.6439 |
| 2025-06-02 01:13:22,719 - pyskl - INFO - Epoch(val) [92][413] top1_acc: 0.6462, top5_acc: 0.9001, mean_class_accuracy: 0.6439 |
| 2025-06-02 01:14:26,605 - pyskl - INFO - Epoch [93][100/1027] lr: 8.119e-03, eta: 6:34:32, time: 0.639, data_time: 0.256, memory: 7959, top1_acc: 0.7950, top5_acc: 0.9475, loss_cls: 3.9377, loss: 3.9377 |
| 2025-06-02 01:15:05,146 - pyskl - INFO - Epoch [93][200/1027] lr: 8.095e-03, eta: 6:33:51, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7625, top5_acc: 0.9381, loss_cls: 4.1119, loss: 4.1119 |
| 2025-06-02 01:15:43,117 - pyskl - INFO - Epoch [93][300/1027] lr: 8.071e-03, eta: 6:33:10, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7688, top5_acc: 0.9413, loss_cls: 4.1179, loss: 4.1179 |
| 2025-06-02 01:16:21,414 - pyskl - INFO - Epoch [93][400/1027] lr: 8.048e-03, eta: 6:32:30, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7381, top5_acc: 0.9237, loss_cls: 4.1810, loss: 4.1810 |
| 2025-06-02 01:16:59,799 - pyskl - INFO - Epoch [93][500/1027] lr: 8.024e-03, eta: 6:31:49, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7569, top5_acc: 0.9369, loss_cls: 4.0616, loss: 4.0616 |
| 2025-06-02 01:17:38,025 - pyskl - INFO - Epoch [93][600/1027] lr: 8.000e-03, eta: 6:31:08, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9113, loss_cls: 4.3826, loss: 4.3826 |
| 2025-06-02 01:18:16,167 - pyskl - INFO - Epoch [93][700/1027] lr: 7.976e-03, eta: 6:30:27, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9225, loss_cls: 4.4433, loss: 4.4433 |
| 2025-06-02 01:18:54,636 - pyskl - INFO - Epoch [93][800/1027] lr: 7.953e-03, eta: 6:29:47, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9294, loss_cls: 4.3145, loss: 4.3145 |
| 2025-06-02 01:19:33,174 - pyskl - INFO - Epoch [93][900/1027] lr: 7.929e-03, eta: 6:29:06, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7181, top5_acc: 0.9131, loss_cls: 4.4037, loss: 4.4037 |
| 2025-06-02 01:20:11,380 - pyskl - INFO - Epoch [93][1000/1027] lr: 7.905e-03, eta: 6:28:25, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7163, top5_acc: 0.9256, loss_cls: 4.3716, loss: 4.3716 |
| 2025-06-02 01:20:22,446 - pyskl - INFO - Saving checkpoint at 93 epochs |
| 2025-06-02 01:20:59,722 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 01:20:59,793 - pyskl - INFO - |
| top1_acc 0.6772 |
| top5_acc 0.9150 |
| 2025-06-02 01:20:59,793 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 01:20:59,801 - pyskl - INFO - |
| mean_acc 0.6738 |
| 2025-06-02 01:20:59,859 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_90.pth was removed |
| 2025-06-02 01:21:01,371 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. |
| 2025-06-02 01:21:01,372 - pyskl - INFO - Best top1_acc is 0.6772 at 93 epoch. |
| 2025-06-02 01:21:01,375 - pyskl - INFO - Epoch(val) [93][413] top1_acc: 0.6772, top5_acc: 0.9150, mean_class_accuracy: 0.6738 |
| 2025-06-02 01:22:05,070 - pyskl - INFO - Epoch [94][100/1027] lr: 7.875e-03, eta: 6:27:43, time: 0.637, data_time: 0.252, memory: 7959, top1_acc: 0.7788, top5_acc: 0.9487, loss_cls: 4.0284, loss: 4.0284 |
| 2025-06-02 01:22:43,397 - pyskl - INFO - Epoch [94][200/1027] lr: 7.851e-03, eta: 6:27:02, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7719, top5_acc: 0.9281, loss_cls: 4.0961, loss: 4.0961 |
| 2025-06-02 01:23:21,477 - pyskl - INFO - Epoch [94][300/1027] lr: 7.828e-03, eta: 6:26:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7531, top5_acc: 0.9356, loss_cls: 4.1756, loss: 4.1756 |
| 2025-06-02 01:23:59,645 - pyskl - INFO - Epoch [94][400/1027] lr: 7.804e-03, eta: 6:25:41, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7619, top5_acc: 0.9281, loss_cls: 4.2154, loss: 4.2154 |
| 2025-06-02 01:24:37,869 - pyskl - INFO - Epoch [94][500/1027] lr: 7.780e-03, eta: 6:25:00, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7494, top5_acc: 0.9287, loss_cls: 4.1250, loss: 4.1250 |
| 2025-06-02 01:25:16,020 - pyskl - INFO - Epoch [94][600/1027] lr: 7.757e-03, eta: 6:24:19, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7412, top5_acc: 0.9363, loss_cls: 4.2517, loss: 4.2517 |
| 2025-06-02 01:25:54,274 - pyskl - INFO - Epoch [94][700/1027] lr: 7.733e-03, eta: 6:23:38, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7325, top5_acc: 0.9256, loss_cls: 4.2413, loss: 4.2413 |
| 2025-06-02 01:26:32,796 - pyskl - INFO - Epoch [94][800/1027] lr: 7.710e-03, eta: 6:22:58, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7444, top5_acc: 0.9244, loss_cls: 4.2683, loss: 4.2683 |
| 2025-06-02 01:27:11,309 - pyskl - INFO - Epoch [94][900/1027] lr: 7.686e-03, eta: 6:22:17, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7281, top5_acc: 0.9187, loss_cls: 4.2941, loss: 4.2941 |
| 2025-06-02 01:27:49,607 - pyskl - INFO - Epoch [94][1000/1027] lr: 7.663e-03, eta: 6:21:36, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7288, top5_acc: 0.9337, loss_cls: 4.2681, loss: 4.2681 |
| 2025-06-02 01:28:00,633 - pyskl - INFO - Saving checkpoint at 94 epochs |
| 2025-06-02 01:28:38,174 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 01:28:38,247 - pyskl - INFO - |
| top1_acc 0.6578 |
| top5_acc 0.9067 |
| 2025-06-02 01:28:38,247 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 01:28:38,255 - pyskl - INFO - |
| mean_acc 0.6552 |
| 2025-06-02 01:28:38,257 - pyskl - INFO - Epoch(val) [94][413] top1_acc: 0.6578, top5_acc: 0.9067, mean_class_accuracy: 0.6552 |
| 2025-06-02 01:29:41,763 - pyskl - INFO - Epoch [95][100/1027] lr: 7.633e-03, eta: 6:20:54, time: 0.635, data_time: 0.252, memory: 7959, top1_acc: 0.7788, top5_acc: 0.9369, loss_cls: 3.9097, loss: 3.9097 |
| 2025-06-02 01:30:20,171 - pyskl - INFO - Epoch [95][200/1027] lr: 7.609e-03, eta: 6:20:13, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7638, top5_acc: 0.9300, loss_cls: 4.0760, loss: 4.0760 |
| 2025-06-02 01:30:58,474 - pyskl - INFO - Epoch [95][300/1027] lr: 7.586e-03, eta: 6:19:32, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7569, top5_acc: 0.9344, loss_cls: 4.2183, loss: 4.2183 |
| 2025-06-02 01:31:36,744 - pyskl - INFO - Epoch [95][400/1027] lr: 7.562e-03, eta: 6:18:52, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7488, top5_acc: 0.9256, loss_cls: 4.2991, loss: 4.2991 |
| 2025-06-02 01:32:15,081 - pyskl - INFO - Epoch [95][500/1027] lr: 7.539e-03, eta: 6:18:11, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7431, top5_acc: 0.9369, loss_cls: 4.2099, loss: 4.2099 |
| 2025-06-02 01:32:53,331 - pyskl - INFO - Epoch [95][600/1027] lr: 7.516e-03, eta: 6:17:30, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7462, top5_acc: 0.9294, loss_cls: 4.1357, loss: 4.1357 |
| 2025-06-02 01:33:31,440 - pyskl - INFO - Epoch [95][700/1027] lr: 7.492e-03, eta: 6:16:49, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7550, top5_acc: 0.9263, loss_cls: 4.1419, loss: 4.1419 |
| 2025-06-02 01:34:09,501 - pyskl - INFO - Epoch [95][800/1027] lr: 7.469e-03, eta: 6:16:09, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7419, top5_acc: 0.9263, loss_cls: 4.2568, loss: 4.2568 |
| 2025-06-02 01:34:47,178 - pyskl - INFO - Epoch [95][900/1027] lr: 7.446e-03, eta: 6:15:28, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7356, top5_acc: 0.9275, loss_cls: 4.2618, loss: 4.2618 |
| 2025-06-02 01:35:24,879 - pyskl - INFO - Epoch [95][1000/1027] lr: 7.422e-03, eta: 6:14:47, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7556, top5_acc: 0.9394, loss_cls: 4.1863, loss: 4.1863 |
| 2025-06-02 01:35:36,028 - pyskl - INFO - Saving checkpoint at 95 epochs |
| 2025-06-02 01:55:28,733 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 01:55:28,804 - pyskl - INFO - |
| top1_acc 0.6553 |
| top5_acc 0.9048 |
| 2025-06-02 01:55:28,805 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 01:55:28,812 - pyskl - INFO - |
| mean_acc 0.6533 |
| 2025-06-02 01:55:28,814 - pyskl - INFO - Epoch(val) [95][413] top1_acc: 0.6553, top5_acc: 0.9048, mean_class_accuracy: 0.6533 |
| 2025-06-02 01:56:33,253 - pyskl - INFO - Epoch [96][100/1027] lr: 7.393e-03, eta: 6:14:04, time: 0.644, data_time: 0.255, memory: 7959, top1_acc: 0.7775, top5_acc: 0.9375, loss_cls: 4.0236, loss: 4.0236 |
| 2025-06-02 01:57:11,576 - pyskl - INFO - Epoch [96][200/1027] lr: 7.369e-03, eta: 6:13:23, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7837, top5_acc: 0.9475, loss_cls: 4.1043, loss: 4.1043 |
| 2025-06-02 01:57:49,628 - pyskl - INFO - Epoch [96][300/1027] lr: 7.346e-03, eta: 6:12:43, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7700, top5_acc: 0.9431, loss_cls: 4.1742, loss: 4.1742 |
| 2025-06-02 01:58:27,685 - pyskl - INFO - Epoch [96][400/1027] lr: 7.323e-03, eta: 6:12:02, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7662, top5_acc: 0.9413, loss_cls: 4.0850, loss: 4.0850 |
| 2025-06-02 01:59:05,771 - pyskl - INFO - Epoch [96][500/1027] lr: 7.300e-03, eta: 6:11:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7606, top5_acc: 0.9344, loss_cls: 4.1710, loss: 4.1710 |
| 2025-06-02 01:59:44,028 - pyskl - INFO - Epoch [96][600/1027] lr: 7.277e-03, eta: 6:10:40, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7656, top5_acc: 0.9387, loss_cls: 4.1214, loss: 4.1214 |
| 2025-06-02 02:00:21,849 - pyskl - INFO - Epoch [96][700/1027] lr: 7.254e-03, eta: 6:09:59, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7319, top5_acc: 0.9263, loss_cls: 4.2431, loss: 4.2431 |
| 2025-06-02 02:01:00,132 - pyskl - INFO - Epoch [96][800/1027] lr: 7.230e-03, eta: 6:09:19, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7506, top5_acc: 0.9300, loss_cls: 4.1489, loss: 4.1489 |
| 2025-06-02 02:01:38,185 - pyskl - INFO - Epoch [96][900/1027] lr: 7.207e-03, eta: 6:08:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7631, top5_acc: 0.9406, loss_cls: 4.0781, loss: 4.0781 |
| 2025-06-02 02:02:16,165 - pyskl - INFO - Epoch [96][1000/1027] lr: 7.184e-03, eta: 6:07:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7381, top5_acc: 0.9325, loss_cls: 4.3785, loss: 4.3785 |
| 2025-06-02 02:02:27,333 - pyskl - INFO - Saving checkpoint at 96 epochs |
| 2025-06-02 02:03:04,983 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:03:05,058 - pyskl - INFO - |
| top1_acc 0.6660 |
| top5_acc 0.9160 |
| 2025-06-02 02:03:05,058 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:03:05,066 - pyskl - INFO - |
| mean_acc 0.6613 |
| 2025-06-02 02:03:05,068 - pyskl - INFO - Epoch(val) [96][413] top1_acc: 0.6660, top5_acc: 0.9160, mean_class_accuracy: 0.6613 |
| 2025-06-02 02:04:08,775 - pyskl - INFO - Epoch [97][100/1027] lr: 7.155e-03, eta: 6:07:14, time: 0.637, data_time: 0.255, memory: 7959, top1_acc: 0.7944, top5_acc: 0.9519, loss_cls: 4.0819, loss: 4.0819 |
| 2025-06-02 02:04:46,737 - pyskl - INFO - Epoch [97][200/1027] lr: 7.132e-03, eta: 6:06:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7881, top5_acc: 0.9575, loss_cls: 3.9416, loss: 3.9416 |
| 2025-06-02 02:05:24,731 - pyskl - INFO - Epoch [97][300/1027] lr: 7.109e-03, eta: 6:05:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7762, top5_acc: 0.9513, loss_cls: 4.0123, loss: 4.0123 |
| 2025-06-02 02:06:02,845 - pyskl - INFO - Epoch [97][400/1027] lr: 7.086e-03, eta: 6:05:12, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7919, top5_acc: 0.9469, loss_cls: 3.9912, loss: 3.9912 |
| 2025-06-02 02:06:40,928 - pyskl - INFO - Epoch [97][500/1027] lr: 7.063e-03, eta: 6:04:31, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7462, top5_acc: 0.9394, loss_cls: 4.1947, loss: 4.1947 |
| 2025-06-02 02:07:19,267 - pyskl - INFO - Epoch [97][600/1027] lr: 7.040e-03, eta: 6:03:50, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7769, top5_acc: 0.9356, loss_cls: 4.0772, loss: 4.0772 |
| 2025-06-02 02:07:57,695 - pyskl - INFO - Epoch [97][700/1027] lr: 7.017e-03, eta: 6:03:10, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7800, top5_acc: 0.9369, loss_cls: 4.0852, loss: 4.0852 |
| 2025-06-02 02:08:36,095 - pyskl - INFO - Epoch [97][800/1027] lr: 6.994e-03, eta: 6:02:29, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7481, top5_acc: 0.9313, loss_cls: 4.2581, loss: 4.2581 |
| 2025-06-02 02:09:14,270 - pyskl - INFO - Epoch [97][900/1027] lr: 6.971e-03, eta: 6:01:48, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7488, top5_acc: 0.9381, loss_cls: 4.0889, loss: 4.0889 |
| 2025-06-02 02:09:51,788 - pyskl - INFO - Epoch [97][1000/1027] lr: 6.948e-03, eta: 6:01:07, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7394, top5_acc: 0.9375, loss_cls: 4.2240, loss: 4.2240 |
| 2025-06-02 02:10:02,817 - pyskl - INFO - Saving checkpoint at 97 epochs |
| 2025-06-02 02:10:40,081 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:10:40,153 - pyskl - INFO - |
| top1_acc 0.6695 |
| top5_acc 0.9130 |
| 2025-06-02 02:10:40,153 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:10:40,161 - pyskl - INFO - |
| mean_acc 0.6685 |
| 2025-06-02 02:10:40,163 - pyskl - INFO - Epoch(val) [97][413] top1_acc: 0.6695, top5_acc: 0.9130, mean_class_accuracy: 0.6685 |
| 2025-06-02 02:11:44,195 - pyskl - INFO - Epoch [98][100/1027] lr: 6.919e-03, eta: 6:00:24, time: 0.640, data_time: 0.257, memory: 7959, top1_acc: 0.8050, top5_acc: 0.9531, loss_cls: 3.9199, loss: 3.9199 |
| 2025-06-02 02:12:22,246 - pyskl - INFO - Epoch [98][200/1027] lr: 6.897e-03, eta: 5:59:44, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8087, top5_acc: 0.9463, loss_cls: 3.9733, loss: 3.9733 |
| 2025-06-02 02:13:00,357 - pyskl - INFO - Epoch [98][300/1027] lr: 6.874e-03, eta: 5:59:03, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7706, top5_acc: 0.9500, loss_cls: 3.9892, loss: 3.9892 |
| 2025-06-02 02:13:38,726 - pyskl - INFO - Epoch [98][400/1027] lr: 6.851e-03, eta: 5:58:22, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7788, top5_acc: 0.9481, loss_cls: 3.9775, loss: 3.9775 |
| 2025-06-02 02:14:16,772 - pyskl - INFO - Epoch [98][500/1027] lr: 6.828e-03, eta: 5:57:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7800, top5_acc: 0.9450, loss_cls: 3.9948, loss: 3.9948 |
| 2025-06-02 02:14:55,331 - pyskl - INFO - Epoch [98][600/1027] lr: 6.806e-03, eta: 5:57:01, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.7550, top5_acc: 0.9337, loss_cls: 4.1064, loss: 4.1064 |
| 2025-06-02 02:15:34,010 - pyskl - INFO - Epoch [98][700/1027] lr: 6.783e-03, eta: 5:56:21, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.7725, top5_acc: 0.9337, loss_cls: 4.1481, loss: 4.1481 |
| 2025-06-02 02:16:12,333 - pyskl - INFO - Epoch [98][800/1027] lr: 6.760e-03, eta: 5:55:40, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7681, top5_acc: 0.9300, loss_cls: 4.1577, loss: 4.1577 |
| 2025-06-02 02:16:50,485 - pyskl - INFO - Epoch [98][900/1027] lr: 6.738e-03, eta: 5:54:59, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7425, top5_acc: 0.9419, loss_cls: 4.1469, loss: 4.1469 |
| 2025-06-02 02:17:28,541 - pyskl - INFO - Epoch [98][1000/1027] lr: 6.715e-03, eta: 5:54:19, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7538, top5_acc: 0.9375, loss_cls: 4.1644, loss: 4.1644 |
| 2025-06-02 02:17:39,773 - pyskl - INFO - Saving checkpoint at 98 epochs |
| 2025-06-02 02:18:17,157 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:18:17,232 - pyskl - INFO - |
| top1_acc 0.6607 |
| top5_acc 0.9054 |
| 2025-06-02 02:18:17,233 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:18:17,244 - pyskl - INFO - |
| mean_acc 0.6562 |
| 2025-06-02 02:18:17,246 - pyskl - INFO - Epoch(val) [98][413] top1_acc: 0.6607, top5_acc: 0.9054, mean_class_accuracy: 0.6562 |
| 2025-06-02 02:19:21,594 - pyskl - INFO - Epoch [99][100/1027] lr: 6.686e-03, eta: 5:53:35, time: 0.643, data_time: 0.260, memory: 7959, top1_acc: 0.7887, top5_acc: 0.9531, loss_cls: 3.9247, loss: 3.9247 |
| 2025-06-02 02:19:59,134 - pyskl - INFO - Epoch [99][200/1027] lr: 6.664e-03, eta: 5:52:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8025, top5_acc: 0.9550, loss_cls: 3.8544, loss: 3.8544 |
| 2025-06-02 02:20:37,230 - pyskl - INFO - Epoch [99][300/1027] lr: 6.641e-03, eta: 5:52:14, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7806, top5_acc: 0.9394, loss_cls: 4.0301, loss: 4.0301 |
| 2025-06-02 02:21:15,430 - pyskl - INFO - Epoch [99][400/1027] lr: 6.619e-03, eta: 5:51:33, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7850, top5_acc: 0.9450, loss_cls: 3.9997, loss: 3.9997 |
| 2025-06-02 02:21:53,491 - pyskl - INFO - Epoch [99][500/1027] lr: 6.596e-03, eta: 5:50:52, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7931, top5_acc: 0.9550, loss_cls: 3.9054, loss: 3.9054 |
| 2025-06-02 02:22:31,681 - pyskl - INFO - Epoch [99][600/1027] lr: 6.574e-03, eta: 5:50:12, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7950, top5_acc: 0.9456, loss_cls: 4.0040, loss: 4.0040 |
| 2025-06-02 02:23:10,280 - pyskl - INFO - Epoch [99][700/1027] lr: 6.551e-03, eta: 5:49:31, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.7638, top5_acc: 0.9431, loss_cls: 4.0438, loss: 4.0438 |
| 2025-06-02 02:23:48,533 - pyskl - INFO - Epoch [99][800/1027] lr: 6.529e-03, eta: 5:48:51, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7700, top5_acc: 0.9400, loss_cls: 4.0360, loss: 4.0360 |
| 2025-06-02 02:24:26,676 - pyskl - INFO - Epoch [99][900/1027] lr: 6.507e-03, eta: 5:48:10, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7694, top5_acc: 0.9381, loss_cls: 4.0387, loss: 4.0387 |
| 2025-06-02 02:25:04,727 - pyskl - INFO - Epoch [99][1000/1027] lr: 6.484e-03, eta: 5:47:29, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7731, top5_acc: 0.9413, loss_cls: 4.0896, loss: 4.0896 |
| 2025-06-02 02:25:15,778 - pyskl - INFO - Saving checkpoint at 99 epochs |
| 2025-06-02 02:25:52,932 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:25:53,004 - pyskl - INFO - |
| top1_acc 0.6868 |
| top5_acc 0.9191 |
| 2025-06-02 02:25:53,005 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:25:53,013 - pyskl - INFO - |
| mean_acc 0.6861 |
| 2025-06-02 02:25:53,070 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_93.pth was removed |
| 2025-06-02 02:25:54,631 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. |
| 2025-06-02 02:25:54,632 - pyskl - INFO - Best top1_acc is 0.6868 at 99 epoch. |
| 2025-06-02 02:25:54,635 - pyskl - INFO - Epoch(val) [99][413] top1_acc: 0.6868, top5_acc: 0.9191, mean_class_accuracy: 0.6861 |
| 2025-06-02 02:26:58,181 - pyskl - INFO - Epoch [100][100/1027] lr: 6.456e-03, eta: 5:46:46, time: 0.635, data_time: 0.253, memory: 7959, top1_acc: 0.8013, top5_acc: 0.9606, loss_cls: 3.8391, loss: 3.8391 |
| 2025-06-02 02:27:36,183 - pyskl - INFO - Epoch [100][200/1027] lr: 6.434e-03, eta: 5:46:05, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8031, top5_acc: 0.9581, loss_cls: 3.9185, loss: 3.9185 |
| 2025-06-02 02:28:14,299 - pyskl - INFO - Epoch [100][300/1027] lr: 6.411e-03, eta: 5:45:24, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7937, top5_acc: 0.9544, loss_cls: 3.8321, loss: 3.8321 |
| 2025-06-02 02:28:52,416 - pyskl - INFO - Epoch [100][400/1027] lr: 6.389e-03, eta: 5:44:44, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7794, top5_acc: 0.9450, loss_cls: 4.1126, loss: 4.1126 |
| 2025-06-02 02:29:30,716 - pyskl - INFO - Epoch [100][500/1027] lr: 6.367e-03, eta: 5:44:03, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.8031, top5_acc: 0.9513, loss_cls: 3.9163, loss: 3.9163 |
| 2025-06-02 02:30:08,988 - pyskl - INFO - Epoch [100][600/1027] lr: 6.345e-03, eta: 5:43:22, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7919, top5_acc: 0.9487, loss_cls: 3.8499, loss: 3.8499 |
| 2025-06-02 02:30:46,758 - pyskl - INFO - Epoch [100][700/1027] lr: 6.323e-03, eta: 5:42:42, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7762, top5_acc: 0.9494, loss_cls: 4.0162, loss: 4.0162 |
| 2025-06-02 02:31:24,489 - pyskl - INFO - Epoch [100][800/1027] lr: 6.300e-03, eta: 5:42:01, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7800, top5_acc: 0.9413, loss_cls: 4.1102, loss: 4.1102 |
| 2025-06-02 02:32:02,172 - pyskl - INFO - Epoch [100][900/1027] lr: 6.278e-03, eta: 5:41:20, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7725, top5_acc: 0.9356, loss_cls: 4.0929, loss: 4.0929 |
| 2025-06-02 02:32:39,850 - pyskl - INFO - Epoch [100][1000/1027] lr: 6.256e-03, eta: 5:40:39, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7731, top5_acc: 0.9531, loss_cls: 3.9941, loss: 3.9941 |
| 2025-06-02 02:32:50,957 - pyskl - INFO - Saving checkpoint at 100 epochs |
| 2025-06-02 02:51:33,922 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:51:33,992 - pyskl - INFO - |
| top1_acc 0.6721 |
| top5_acc 0.9088 |
| 2025-06-02 02:51:33,992 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:51:33,999 - pyskl - INFO - |
| mean_acc 0.6734 |
| 2025-06-02 02:51:34,001 - pyskl - INFO - Epoch(val) [100][413] top1_acc: 0.6721, top5_acc: 0.9088, mean_class_accuracy: 0.6734 |
| 2025-06-02 02:52:37,290 - pyskl - INFO - Epoch [101][100/1027] lr: 6.228e-03, eta: 5:39:55, time: 0.633, data_time: 0.250, memory: 7959, top1_acc: 0.8225, top5_acc: 0.9600, loss_cls: 3.9023, loss: 3.9023 |
| 2025-06-02 02:53:15,516 - pyskl - INFO - Epoch [101][200/1027] lr: 6.206e-03, eta: 5:39:14, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8163, top5_acc: 0.9544, loss_cls: 3.9166, loss: 3.9166 |
| 2025-06-02 02:53:53,896 - pyskl - INFO - Epoch [101][300/1027] lr: 6.184e-03, eta: 5:38:34, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.8087, top5_acc: 0.9594, loss_cls: 3.8948, loss: 3.8948 |
| 2025-06-02 02:54:31,863 - pyskl - INFO - Epoch [101][400/1027] lr: 6.162e-03, eta: 5:37:53, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8006, top5_acc: 0.9494, loss_cls: 3.9129, loss: 3.9129 |
| 2025-06-02 02:55:09,813 - pyskl - INFO - Epoch [101][500/1027] lr: 6.140e-03, eta: 5:37:13, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8056, top5_acc: 0.9531, loss_cls: 3.8049, loss: 3.8049 |
| 2025-06-02 02:55:47,709 - pyskl - INFO - Epoch [101][600/1027] lr: 6.118e-03, eta: 5:36:32, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7987, top5_acc: 0.9506, loss_cls: 4.0083, loss: 4.0083 |
| 2025-06-02 02:56:25,714 - pyskl - INFO - Epoch [101][700/1027] lr: 6.096e-03, eta: 5:35:51, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7981, top5_acc: 0.9587, loss_cls: 3.8602, loss: 3.8602 |
| 2025-06-02 02:57:03,917 - pyskl - INFO - Epoch [101][800/1027] lr: 6.074e-03, eta: 5:35:11, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7750, top5_acc: 0.9456, loss_cls: 4.0442, loss: 4.0442 |
| 2025-06-02 02:57:42,328 - pyskl - INFO - Epoch [101][900/1027] lr: 6.053e-03, eta: 5:34:30, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7738, top5_acc: 0.9387, loss_cls: 4.0997, loss: 4.0997 |
| 2025-06-02 02:58:20,696 - pyskl - INFO - Epoch [101][1000/1027] lr: 6.031e-03, eta: 5:33:50, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7956, top5_acc: 0.9506, loss_cls: 3.8982, loss: 3.8982 |
| 2025-06-02 02:58:31,866 - pyskl - INFO - Saving checkpoint at 101 epochs |
| 2025-06-02 02:59:09,518 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:59:09,590 - pyskl - INFO - |
| top1_acc 0.6875 |
| top5_acc 0.9182 |
| 2025-06-02 02:59:09,590 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:59:09,598 - pyskl - INFO - |
| mean_acc 0.6832 |
| 2025-06-02 02:59:09,655 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_99.pth was removed |
| 2025-06-02 02:59:11,220 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. |
| 2025-06-02 02:59:11,222 - pyskl - INFO - Best top1_acc is 0.6875 at 101 epoch. |
| 2025-06-02 02:59:11,226 - pyskl - INFO - Epoch(val) [101][413] top1_acc: 0.6875, top5_acc: 0.9182, mean_class_accuracy: 0.6832 |
| 2025-06-02 03:00:14,520 - pyskl - INFO - Epoch [102][100/1027] lr: 6.003e-03, eta: 5:33:05, time: 0.633, data_time: 0.253, memory: 7959, top1_acc: 0.8363, top5_acc: 0.9725, loss_cls: 3.7116, loss: 3.7116 |
| 2025-06-02 03:00:52,310 - pyskl - INFO - Epoch [102][200/1027] lr: 5.981e-03, eta: 5:32:25, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7994, top5_acc: 0.9606, loss_cls: 3.8294, loss: 3.8294 |
| 2025-06-02 03:01:30,065 - pyskl - INFO - Epoch [102][300/1027] lr: 5.960e-03, eta: 5:31:44, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8050, top5_acc: 0.9631, loss_cls: 3.9079, loss: 3.9079 |
| 2025-06-02 03:02:07,536 - pyskl - INFO - Epoch [102][400/1027] lr: 5.938e-03, eta: 5:31:03, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8063, top5_acc: 0.9587, loss_cls: 3.8142, loss: 3.8142 |
| 2025-06-02 03:02:45,495 - pyskl - INFO - Epoch [102][500/1027] lr: 5.916e-03, eta: 5:30:22, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8100, top5_acc: 0.9581, loss_cls: 3.8245, loss: 3.8245 |
| 2025-06-02 03:03:23,562 - pyskl - INFO - Epoch [102][600/1027] lr: 5.895e-03, eta: 5:29:42, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8050, top5_acc: 0.9513, loss_cls: 3.8582, loss: 3.8582 |
| 2025-06-02 03:04:01,451 - pyskl - INFO - Epoch [102][700/1027] lr: 5.873e-03, eta: 5:29:01, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7887, top5_acc: 0.9425, loss_cls: 3.9663, loss: 3.9663 |
| 2025-06-02 03:04:39,687 - pyskl - INFO - Epoch [102][800/1027] lr: 5.851e-03, eta: 5:28:20, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7812, top5_acc: 0.9513, loss_cls: 4.0120, loss: 4.0120 |
| 2025-06-02 03:05:18,341 - pyskl - INFO - Epoch [102][900/1027] lr: 5.830e-03, eta: 5:27:40, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.7894, top5_acc: 0.9519, loss_cls: 3.8755, loss: 3.8755 |
| 2025-06-02 03:05:56,801 - pyskl - INFO - Epoch [102][1000/1027] lr: 5.808e-03, eta: 5:27:00, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.8006, top5_acc: 0.9506, loss_cls: 3.8767, loss: 3.8767 |
| 2025-06-02 03:06:07,923 - pyskl - INFO - Saving checkpoint at 102 epochs |
| 2025-06-02 03:06:45,323 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 03:06:45,395 - pyskl - INFO - |
| top1_acc 0.6816 |
| top5_acc 0.9121 |
| 2025-06-02 03:06:45,395 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 03:06:45,403 - pyskl - INFO - |
| mean_acc 0.6817 |
| 2025-06-02 03:06:45,405 - pyskl - INFO - Epoch(val) [102][413] top1_acc: 0.6816, top5_acc: 0.9121, mean_class_accuracy: 0.6817 |
| 2025-06-02 03:07:48,755 - pyskl - INFO - Epoch [103][100/1027] lr: 5.781e-03, eta: 5:26:15, time: 0.633, data_time: 0.253, memory: 7959, top1_acc: 0.8337, top5_acc: 0.9650, loss_cls: 3.7030, loss: 3.7030 |
| 2025-06-02 03:08:26,785 - pyskl - INFO - Epoch [103][200/1027] lr: 5.759e-03, eta: 5:25:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8400, top5_acc: 0.9656, loss_cls: 3.6511, loss: 3.6511 |
| 2025-06-02 03:09:04,793 - pyskl - INFO - Epoch [103][300/1027] lr: 5.738e-03, eta: 5:24:54, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8313, top5_acc: 0.9606, loss_cls: 3.7176, loss: 3.7176 |
| 2025-06-02 03:09:42,760 - pyskl - INFO - Epoch [103][400/1027] lr: 5.717e-03, eta: 5:24:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8131, top5_acc: 0.9650, loss_cls: 3.8767, loss: 3.8767 |
| 2025-06-02 03:10:20,836 - pyskl - INFO - Epoch [103][500/1027] lr: 5.695e-03, eta: 5:23:33, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8087, top5_acc: 0.9700, loss_cls: 3.7761, loss: 3.7761 |
| 2025-06-02 03:10:58,879 - pyskl - INFO - Epoch [103][600/1027] lr: 5.674e-03, eta: 5:22:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8000, top5_acc: 0.9625, loss_cls: 3.8725, loss: 3.8725 |
| 2025-06-02 03:11:36,837 - pyskl - INFO - Epoch [103][700/1027] lr: 5.652e-03, eta: 5:22:12, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8219, top5_acc: 0.9594, loss_cls: 3.8067, loss: 3.8067 |
| 2025-06-02 03:12:15,052 - pyskl - INFO - Epoch [103][800/1027] lr: 5.631e-03, eta: 5:21:31, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7913, top5_acc: 0.9475, loss_cls: 3.8805, loss: 3.8805 |
| 2025-06-02 03:12:53,410 - pyskl - INFO - Epoch [103][900/1027] lr: 5.610e-03, eta: 5:20:51, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.8113, top5_acc: 0.9631, loss_cls: 3.8605, loss: 3.8605 |
| 2025-06-02 03:13:31,744 - pyskl - INFO - Epoch [103][1000/1027] lr: 5.589e-03, eta: 5:20:10, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7969, top5_acc: 0.9500, loss_cls: 3.8996, loss: 3.8996 |
| 2025-06-02 03:13:43,208 - pyskl - INFO - Saving checkpoint at 103 epochs |
| 2025-06-02 03:14:20,907 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 03:14:20,978 - pyskl - INFO - |
| top1_acc 0.6690 |
| top5_acc 0.9062 |
| 2025-06-02 03:14:20,978 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 03:14:20,985 - pyskl - INFO - |
| mean_acc 0.6669 |
| 2025-06-02 03:14:20,986 - pyskl - INFO - Epoch(val) [103][413] top1_acc: 0.6690, top5_acc: 0.9062, mean_class_accuracy: 0.6669 |
| 2025-06-02 03:15:24,128 - pyskl - INFO - Epoch [104][100/1027] lr: 5.562e-03, eta: 5:19:25, time: 0.631, data_time: 0.252, memory: 7959, top1_acc: 0.8462, top5_acc: 0.9738, loss_cls: 3.5818, loss: 3.5818 |
| 2025-06-02 03:16:02,116 - pyskl - INFO - Epoch [104][200/1027] lr: 5.540e-03, eta: 5:18:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8325, top5_acc: 0.9688, loss_cls: 3.7019, loss: 3.7019 |
| 2025-06-02 03:16:40,359 - pyskl - INFO - Epoch [104][300/1027] lr: 5.519e-03, eta: 5:18:04, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8419, top5_acc: 0.9650, loss_cls: 3.7119, loss: 3.7119 |
| 2025-06-02 03:17:18,271 - pyskl - INFO - Epoch [104][400/1027] lr: 5.498e-03, eta: 5:17:24, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8319, top5_acc: 0.9594, loss_cls: 3.7092, loss: 3.7092 |
| 2025-06-02 03:17:56,232 - pyskl - INFO - Epoch [104][500/1027] lr: 5.477e-03, eta: 5:16:43, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8213, top5_acc: 0.9606, loss_cls: 3.7980, loss: 3.7980 |
| 2025-06-02 03:18:34,164 - pyskl - INFO - Epoch [104][600/1027] lr: 5.456e-03, eta: 5:16:02, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8194, top5_acc: 0.9650, loss_cls: 3.8283, loss: 3.8283 |
| 2025-06-02 03:19:12,113 - pyskl - INFO - Epoch [104][700/1027] lr: 5.435e-03, eta: 5:15:22, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8163, top5_acc: 0.9675, loss_cls: 3.8639, loss: 3.8639 |
| 2025-06-02 03:19:50,452 - pyskl - INFO - Epoch [104][800/1027] lr: 5.414e-03, eta: 5:14:41, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.8306, top5_acc: 0.9731, loss_cls: 3.7003, loss: 3.7003 |
| 2025-06-02 03:20:29,034 - pyskl - INFO - Epoch [104][900/1027] lr: 5.393e-03, eta: 5:14:01, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.8181, top5_acc: 0.9600, loss_cls: 3.7684, loss: 3.7684 |
| 2025-06-02 03:21:07,448 - pyskl - INFO - Epoch [104][1000/1027] lr: 5.372e-03, eta: 5:13:21, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.8044, top5_acc: 0.9544, loss_cls: 3.7934, loss: 3.7934 |
| 2025-06-02 03:21:18,569 - pyskl - INFO - Saving checkpoint at 104 epochs |
| 2025-06-02 03:21:55,950 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 03:21:56,021 - pyskl - INFO - |
| top1_acc 0.6865 |
| top5_acc 0.9126 |
| 2025-06-02 03:21:56,021 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 03:21:56,028 - pyskl - INFO - |
| mean_acc 0.6859 |
| 2025-06-02 03:21:56,030 - pyskl - INFO - Epoch(val) [104][413] top1_acc: 0.6865, top5_acc: 0.9126, mean_class_accuracy: 0.6859 |
| 2025-06-02 03:22:59,149 - pyskl - INFO - Epoch [105][100/1027] lr: 5.345e-03, eta: 5:12:36, time: 0.631, data_time: 0.251, memory: 7959, top1_acc: 0.8406, top5_acc: 0.9681, loss_cls: 3.7153, loss: 3.7153 |
| 2025-06-02 03:23:37,192 - pyskl - INFO - Epoch [105][200/1027] lr: 5.324e-03, eta: 5:11:55, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8425, top5_acc: 0.9600, loss_cls: 3.6798, loss: 3.6798 |
| 2025-06-02 03:24:15,327 - pyskl - INFO - Epoch [105][300/1027] lr: 5.304e-03, eta: 5:11:15, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8387, top5_acc: 0.9744, loss_cls: 3.6629, loss: 3.6629 |
| 2025-06-02 03:24:53,260 - pyskl - INFO - Epoch [105][400/1027] lr: 5.283e-03, eta: 5:10:34, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8394, top5_acc: 0.9688, loss_cls: 3.6451, loss: 3.6451 |
| 2025-06-02 03:25:31,298 - pyskl - INFO - Epoch [105][500/1027] lr: 5.262e-03, eta: 5:09:54, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8237, top5_acc: 0.9669, loss_cls: 3.7869, loss: 3.7869 |
| 2025-06-02 03:26:09,421 - pyskl - INFO - Epoch [105][600/1027] lr: 5.241e-03, eta: 5:09:13, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8237, top5_acc: 0.9694, loss_cls: 3.7707, loss: 3.7707 |
| 2025-06-02 03:26:47,315 - pyskl - INFO - Epoch [105][700/1027] lr: 5.220e-03, eta: 5:08:32, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8406, top5_acc: 0.9606, loss_cls: 3.8037, loss: 3.8037 |
| 2025-06-02 03:27:25,397 - pyskl - INFO - Epoch [105][800/1027] lr: 5.200e-03, eta: 5:07:52, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8206, top5_acc: 0.9637, loss_cls: 3.7616, loss: 3.7616 |
| 2025-06-02 03:28:03,172 - pyskl - INFO - Epoch [105][900/1027] lr: 5.179e-03, eta: 5:07:11, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8287, top5_acc: 0.9688, loss_cls: 3.7781, loss: 3.7781 |
| 2025-06-02 03:28:40,933 - pyskl - INFO - Epoch [105][1000/1027] lr: 5.158e-03, eta: 5:06:31, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8094, top5_acc: 0.9663, loss_cls: 3.8300, loss: 3.8300 |
| 2025-06-02 03:28:51,757 - pyskl - INFO - Saving checkpoint at 105 epochs |
| 2025-06-02 03:48:36,360 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 03:48:36,434 - pyskl - INFO - |
| top1_acc 0.6760 |
| top5_acc 0.9120 |
| 2025-06-02 03:48:36,434 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 03:48:36,442 - pyskl - INFO - |
| mean_acc 0.6728 |
| 2025-06-02 03:48:36,443 - pyskl - INFO - Epoch(val) [105][413] top1_acc: 0.6760, top5_acc: 0.9120, mean_class_accuracy: 0.6728 |
| 2025-06-02 03:49:39,980 - pyskl - INFO - Epoch [106][100/1027] lr: 5.132e-03, eta: 5:05:46, time: 0.635, data_time: 0.253, memory: 7959, top1_acc: 0.8488, top5_acc: 0.9775, loss_cls: 3.6155, loss: 3.6155 |
| 2025-06-02 03:50:18,114 - pyskl - INFO - Epoch [106][200/1027] lr: 5.112e-03, eta: 5:05:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8588, top5_acc: 0.9756, loss_cls: 3.5457, loss: 3.5457 |
| 2025-06-02 03:50:55,940 - pyskl - INFO - Epoch [106][300/1027] lr: 5.091e-03, eta: 5:04:25, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8562, top5_acc: 0.9706, loss_cls: 3.5521, loss: 3.5521 |
| 2025-06-02 03:51:34,096 - pyskl - INFO - Epoch [106][400/1027] lr: 5.071e-03, eta: 5:03:44, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8619, top5_acc: 0.9800, loss_cls: 3.6922, loss: 3.6922 |
| 2025-06-02 03:52:12,026 - pyskl - INFO - Epoch [106][500/1027] lr: 5.050e-03, eta: 5:03:04, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8337, top5_acc: 0.9756, loss_cls: 3.5790, loss: 3.5790 |
| 2025-06-02 03:52:49,913 - pyskl - INFO - Epoch [106][600/1027] lr: 5.030e-03, eta: 5:02:23, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8287, top5_acc: 0.9631, loss_cls: 3.6882, loss: 3.6882 |
| 2025-06-02 03:53:27,802 - pyskl - INFO - Epoch [106][700/1027] lr: 5.009e-03, eta: 5:01:42, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8237, top5_acc: 0.9656, loss_cls: 3.7840, loss: 3.7840 |
| 2025-06-02 03:54:05,674 - pyskl - INFO - Epoch [106][800/1027] lr: 4.989e-03, eta: 5:01:02, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8113, top5_acc: 0.9681, loss_cls: 3.8613, loss: 3.8613 |
| 2025-06-02 03:54:43,845 - pyskl - INFO - Epoch [106][900/1027] lr: 4.969e-03, eta: 5:00:21, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8294, top5_acc: 0.9631, loss_cls: 3.8309, loss: 3.8309 |
| 2025-06-02 03:55:22,437 - pyskl - INFO - Epoch [106][1000/1027] lr: 4.948e-03, eta: 4:59:41, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.8331, top5_acc: 0.9694, loss_cls: 3.7046, loss: 3.7046 |
| 2025-06-02 03:55:33,516 - pyskl - INFO - Saving checkpoint at 106 epochs |
| 2025-06-02 03:56:10,908 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 03:56:10,979 - pyskl - INFO - |
| top1_acc 0.6709 |
| top5_acc 0.9097 |
| 2025-06-02 03:56:10,980 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 03:56:10,987 - pyskl - INFO - |
| mean_acc 0.6671 |
| 2025-06-02 03:56:10,989 - pyskl - INFO - Epoch(val) [106][413] top1_acc: 0.6709, top5_acc: 0.9097, mean_class_accuracy: 0.6671 |
| 2025-06-02 03:57:14,392 - pyskl - INFO - Epoch [107][100/1027] lr: 4.922e-03, eta: 4:58:56, time: 0.634, data_time: 0.254, memory: 7959, top1_acc: 0.8669, top5_acc: 0.9762, loss_cls: 3.6281, loss: 3.6281 |
| 2025-06-02 03:57:52,531 - pyskl - INFO - Epoch [107][200/1027] lr: 4.902e-03, eta: 4:58:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8619, top5_acc: 0.9806, loss_cls: 3.6586, loss: 3.6586 |
| 2025-06-02 03:58:30,665 - pyskl - INFO - Epoch [107][300/1027] lr: 4.882e-03, eta: 4:57:35, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8556, top5_acc: 0.9712, loss_cls: 3.4732, loss: 3.4732 |
| 2025-06-02 03:59:08,672 - pyskl - INFO - Epoch [107][400/1027] lr: 4.862e-03, eta: 4:56:55, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8369, top5_acc: 0.9738, loss_cls: 3.5864, loss: 3.5864 |
| 2025-06-02 03:59:46,729 - pyskl - INFO - Epoch [107][500/1027] lr: 4.842e-03, eta: 4:56:14, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8356, top5_acc: 0.9669, loss_cls: 3.6958, loss: 3.6958 |
| 2025-06-02 04:00:24,871 - pyskl - INFO - Epoch [107][600/1027] lr: 4.821e-03, eta: 4:55:34, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8363, top5_acc: 0.9681, loss_cls: 3.8000, loss: 3.8000 |
| 2025-06-02 04:01:02,909 - pyskl - INFO - Epoch [107][700/1027] lr: 4.801e-03, eta: 4:54:53, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8438, top5_acc: 0.9731, loss_cls: 3.6430, loss: 3.6430 |
| 2025-06-02 04:01:40,996 - pyskl - INFO - Epoch [107][800/1027] lr: 4.781e-03, eta: 4:54:13, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8431, top5_acc: 0.9738, loss_cls: 3.7096, loss: 3.7096 |
| 2025-06-02 04:02:19,255 - pyskl - INFO - Epoch [107][900/1027] lr: 4.761e-03, eta: 4:53:32, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.8381, top5_acc: 0.9706, loss_cls: 3.6748, loss: 3.6748 |
| 2025-06-02 04:02:57,797 - pyskl - INFO - Epoch [107][1000/1027] lr: 4.741e-03, eta: 4:52:52, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.8306, top5_acc: 0.9712, loss_cls: 3.7426, loss: 3.7426 |
| 2025-06-02 04:03:08,958 - pyskl - INFO - Saving checkpoint at 107 epochs |
| 2025-06-02 04:03:46,540 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 04:03:46,615 - pyskl - INFO - |
| top1_acc 0.6881 |
| top5_acc 0.9107 |
| 2025-06-02 04:03:46,615 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 04:03:46,623 - pyskl - INFO - |
| mean_acc 0.6861 |
| 2025-06-02 04:03:46,681 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_101.pth was removed |
| 2025-06-02 04:03:48,289 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. |
| 2025-06-02 04:03:48,291 - pyskl - INFO - Best top1_acc is 0.6881 at 107 epoch. |
| 2025-06-02 04:03:48,294 - pyskl - INFO - Epoch(val) [107][413] top1_acc: 0.6881, top5_acc: 0.9107, mean_class_accuracy: 0.6861 |
| 2025-06-02 04:04:51,339 - pyskl - INFO - Epoch [108][100/1027] lr: 4.716e-03, eta: 4:52:07, time: 0.630, data_time: 0.250, memory: 7959, top1_acc: 0.8756, top5_acc: 0.9744, loss_cls: 3.4999, loss: 3.4999 |
| 2025-06-02 04:05:29,321 - pyskl - INFO - Epoch [108][200/1027] lr: 4.696e-03, eta: 4:51:26, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8719, top5_acc: 0.9781, loss_cls: 3.5663, loss: 3.5663 |
| 2025-06-02 04:06:07,256 - pyskl - INFO - Epoch [108][300/1027] lr: 4.676e-03, eta: 4:50:46, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8512, top5_acc: 0.9800, loss_cls: 3.5350, loss: 3.5350 |
| 2025-06-02 04:06:45,325 - pyskl - INFO - Epoch [108][400/1027] lr: 4.656e-03, eta: 4:50:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8538, top5_acc: 0.9731, loss_cls: 3.6041, loss: 3.6041 |
| 2025-06-02 04:07:23,269 - pyskl - INFO - Epoch [108][500/1027] lr: 4.636e-03, eta: 4:49:25, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8638, top5_acc: 0.9788, loss_cls: 3.5812, loss: 3.5812 |
| 2025-06-02 04:08:01,309 - pyskl - INFO - Epoch [108][600/1027] lr: 4.617e-03, eta: 4:48:44, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8544, top5_acc: 0.9762, loss_cls: 3.5613, loss: 3.5613 |
| 2025-06-02 04:08:39,360 - pyskl - INFO - Epoch [108][700/1027] lr: 4.597e-03, eta: 4:48:04, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8612, top5_acc: 0.9744, loss_cls: 3.5823, loss: 3.5823 |
| 2025-06-02 04:09:17,433 - pyskl - INFO - Epoch [108][800/1027] lr: 4.577e-03, eta: 4:47:23, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8575, top5_acc: 0.9712, loss_cls: 3.6492, loss: 3.6492 |
| 2025-06-02 04:09:55,792 - pyskl - INFO - Epoch [108][900/1027] lr: 4.557e-03, eta: 4:46:43, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.8237, top5_acc: 0.9663, loss_cls: 3.6625, loss: 3.6625 |
| 2025-06-02 04:10:34,540 - pyskl - INFO - Epoch [108][1000/1027] lr: 4.538e-03, eta: 4:46:03, time: 0.387, data_time: 0.001, memory: 7959, top1_acc: 0.8444, top5_acc: 0.9663, loss_cls: 3.7151, loss: 3.7151 |
| 2025-06-02 04:10:45,777 - pyskl - INFO - Saving checkpoint at 108 epochs |
| 2025-06-02 04:11:23,014 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 04:11:23,086 - pyskl - INFO - |
| top1_acc 0.6862 |
| top5_acc 0.9147 |
| 2025-06-02 04:11:23,086 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 04:11:23,094 - pyskl - INFO - |
| mean_acc 0.6843 |
| 2025-06-02 04:11:23,096 - pyskl - INFO - Epoch(val) [108][413] top1_acc: 0.6862, top5_acc: 0.9147, mean_class_accuracy: 0.6843 |
| 2025-06-02 04:12:26,685 - pyskl - INFO - Epoch [109][100/1027] lr: 4.513e-03, eta: 4:45:17, time: 0.636, data_time: 0.255, memory: 7959, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 3.5093, loss: 3.5093 |
| 2025-06-02 04:13:04,625 - pyskl - INFO - Epoch [109][200/1027] lr: 4.493e-03, eta: 4:44:37, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8706, top5_acc: 0.9850, loss_cls: 3.4490, loss: 3.4490 |
| 2025-06-02 04:13:42,539 - pyskl - INFO - Epoch [109][300/1027] lr: 4.474e-03, eta: 4:43:56, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8525, top5_acc: 0.9769, loss_cls: 3.5188, loss: 3.5188 |
| 2025-06-02 04:14:20,686 - pyskl - INFO - Epoch [109][400/1027] lr: 4.454e-03, eta: 4:43:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 3.5429, loss: 3.5429 |
| 2025-06-02 04:14:58,775 - pyskl - INFO - Epoch [109][500/1027] lr: 4.435e-03, eta: 4:42:36, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8819, top5_acc: 0.9781, loss_cls: 3.5633, loss: 3.5633 |
| 2025-06-02 04:15:36,736 - pyskl - INFO - Epoch [109][600/1027] lr: 4.415e-03, eta: 4:41:55, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8712, top5_acc: 0.9800, loss_cls: 3.4697, loss: 3.4697 |
| 2025-06-02 04:16:14,668 - pyskl - INFO - Epoch [109][700/1027] lr: 4.396e-03, eta: 4:41:15, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8631, top5_acc: 0.9756, loss_cls: 3.6989, loss: 3.6989 |
| 2025-06-02 04:16:52,643 - pyskl - INFO - Epoch [109][800/1027] lr: 4.376e-03, eta: 4:40:34, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8594, top5_acc: 0.9781, loss_cls: 3.4768, loss: 3.4768 |
| 2025-06-02 04:17:30,918 - pyskl - INFO - Epoch [109][900/1027] lr: 4.357e-03, eta: 4:39:54, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.8594, top5_acc: 0.9788, loss_cls: 3.5908, loss: 3.5908 |
| 2025-06-02 04:18:09,649 - pyskl - INFO - Epoch [109][1000/1027] lr: 4.338e-03, eta: 4:39:14, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.8438, top5_acc: 0.9725, loss_cls: 3.6340, loss: 3.6340 |
| 2025-06-02 04:18:20,961 - pyskl - INFO - Saving checkpoint at 109 epochs |
| 2025-06-02 04:18:58,553 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 04:18:58,624 - pyskl - INFO - |
| top1_acc 0.6834 |
| top5_acc 0.9101 |
| 2025-06-02 04:18:58,625 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 04:18:58,633 - pyskl - INFO - |
| mean_acc 0.6844 |
| 2025-06-02 04:18:58,634 - pyskl - INFO - Epoch(val) [109][413] top1_acc: 0.6834, top5_acc: 0.9101, mean_class_accuracy: 0.6844 |
| 2025-06-02 04:20:02,169 - pyskl - INFO - Epoch [110][100/1027] lr: 4.313e-03, eta: 4:38:28, time: 0.635, data_time: 0.255, memory: 7959, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 3.3988, loss: 3.3988 |
| 2025-06-02 04:20:40,324 - pyskl - INFO - Epoch [110][200/1027] lr: 4.294e-03, eta: 4:37:48, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 3.4554, loss: 3.4554 |
| 2025-06-02 04:21:18,422 - pyskl - INFO - Epoch [110][300/1027] lr: 4.275e-03, eta: 4:37:07, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 3.4191, loss: 3.4191 |
| 2025-06-02 04:21:56,553 - pyskl - INFO - Epoch [110][400/1027] lr: 4.256e-03, eta: 4:36:27, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8794, top5_acc: 0.9800, loss_cls: 3.4298, loss: 3.4298 |
| 2025-06-02 04:22:34,832 - pyskl - INFO - Epoch [110][500/1027] lr: 4.236e-03, eta: 4:35:47, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.8794, top5_acc: 0.9812, loss_cls: 3.5432, loss: 3.5432 |
| 2025-06-02 04:23:12,959 - pyskl - INFO - Epoch [110][600/1027] lr: 4.217e-03, eta: 4:35:06, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8712, top5_acc: 0.9788, loss_cls: 3.5092, loss: 3.5092 |
| 2025-06-02 04:23:50,957 - pyskl - INFO - Epoch [110][700/1027] lr: 4.198e-03, eta: 4:34:26, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 3.4189, loss: 3.4189 |
| 2025-06-02 04:24:28,934 - pyskl - INFO - Epoch [110][800/1027] lr: 4.179e-03, eta: 4:33:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8806, top5_acc: 0.9806, loss_cls: 3.4325, loss: 3.4325 |
| 2025-06-02 04:25:07,080 - pyskl - INFO - Epoch [110][900/1027] lr: 4.160e-03, eta: 4:33:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8619, top5_acc: 0.9812, loss_cls: 3.5559, loss: 3.5559 |
| 2025-06-02 04:25:45,157 - pyskl - INFO - Epoch [110][1000/1027] lr: 4.141e-03, eta: 4:32:25, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8612, top5_acc: 0.9788, loss_cls: 3.5349, loss: 3.5349 |
| 2025-06-02 04:25:56,167 - pyskl - INFO - Saving checkpoint at 110 epochs |
| 2025-06-02 04:45:08,054 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 04:45:08,127 - pyskl - INFO - |
| top1_acc 0.6921 |
| top5_acc 0.9151 |
| 2025-06-02 04:45:08,127 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 04:45:08,136 - pyskl - INFO - |
| mean_acc 0.6924 |
| 2025-06-02 04:45:08,197 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_107.pth was removed |
| 2025-06-02 04:45:09,766 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. |
| 2025-06-02 04:45:09,767 - pyskl - INFO - Best top1_acc is 0.6921 at 110 epoch. |
| 2025-06-02 04:45:09,770 - pyskl - INFO - Epoch(val) [110][413] top1_acc: 0.6921, top5_acc: 0.9151, mean_class_accuracy: 0.6924 |
| 2025-06-02 04:46:12,850 - pyskl - INFO - Epoch [111][100/1027] lr: 4.117e-03, eta: 4:31:39, time: 0.631, data_time: 0.250, memory: 7959, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 3.4226, loss: 3.4226 |
| 2025-06-02 04:46:50,746 - pyskl - INFO - Epoch [111][200/1027] lr: 4.098e-03, eta: 4:30:58, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8906, top5_acc: 0.9838, loss_cls: 3.3512, loss: 3.3512 |
| 2025-06-02 04:47:28,596 - pyskl - INFO - Epoch [111][300/1027] lr: 4.079e-03, eta: 4:30:18, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9012, top5_acc: 0.9819, loss_cls: 3.3306, loss: 3.3306 |
| 2025-06-02 04:48:06,868 - pyskl - INFO - Epoch [111][400/1027] lr: 4.061e-03, eta: 4:29:38, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.8919, top5_acc: 0.9850, loss_cls: 3.2784, loss: 3.2784 |
| 2025-06-02 04:48:44,858 - pyskl - INFO - Epoch [111][500/1027] lr: 4.042e-03, eta: 4:28:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8988, top5_acc: 0.9831, loss_cls: 3.4497, loss: 3.4497 |
| 2025-06-02 04:49:22,758 - pyskl - INFO - Epoch [111][600/1027] lr: 4.023e-03, eta: 4:28:17, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8906, top5_acc: 0.9806, loss_cls: 3.4929, loss: 3.4929 |
| 2025-06-02 04:50:00,617 - pyskl - INFO - Epoch [111][700/1027] lr: 4.004e-03, eta: 4:27:36, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8856, top5_acc: 0.9844, loss_cls: 3.3893, loss: 3.3893 |
| 2025-06-02 04:50:38,539 - pyskl - INFO - Epoch [111][800/1027] lr: 3.986e-03, eta: 4:26:56, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 3.4541, loss: 3.4541 |
| 2025-06-02 04:51:16,454 - pyskl - INFO - Epoch [111][900/1027] lr: 3.967e-03, eta: 4:26:15, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8512, top5_acc: 0.9769, loss_cls: 3.6033, loss: 3.6033 |
| 2025-06-02 04:51:54,455 - pyskl - INFO - Epoch [111][1000/1027] lr: 3.948e-03, eta: 4:25:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8812, top5_acc: 0.9800, loss_cls: 3.4658, loss: 3.4658 |
| 2025-06-02 04:52:05,549 - pyskl - INFO - Saving checkpoint at 111 epochs |
| 2025-06-02 04:52:43,023 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 04:52:43,096 - pyskl - INFO - |
| top1_acc 0.6877 |
| top5_acc 0.9132 |
| 2025-06-02 04:52:43,096 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 04:52:43,105 - pyskl - INFO - |
| mean_acc 0.6847 |
| 2025-06-02 04:52:43,108 - pyskl - INFO - Epoch(val) [111][413] top1_acc: 0.6877, top5_acc: 0.9132, mean_class_accuracy: 0.6847 |
| 2025-06-02 04:53:47,555 - pyskl - INFO - Epoch [112][100/1027] lr: 3.925e-03, eta: 4:24:49, time: 0.644, data_time: 0.261, memory: 7959, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 3.3422, loss: 3.3422 |
| 2025-06-02 04:54:25,689 - pyskl - INFO - Epoch [112][200/1027] lr: 3.906e-03, eta: 4:24:09, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 3.4024, loss: 3.4024 |
| 2025-06-02 04:55:03,817 - pyskl - INFO - Epoch [112][300/1027] lr: 3.888e-03, eta: 4:23:29, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 3.2859, loss: 3.2859 |
| 2025-06-02 04:55:41,972 - pyskl - INFO - Epoch [112][400/1027] lr: 3.869e-03, eta: 4:22:48, time: 0.382, data_time: 0.001, memory: 7959, top1_acc: 0.9019, top5_acc: 0.9850, loss_cls: 3.4081, loss: 3.4081 |
| 2025-06-02 04:56:19,979 - pyskl - INFO - Epoch [112][500/1027] lr: 3.851e-03, eta: 4:22:08, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9231, top5_acc: 0.9881, loss_cls: 3.3347, loss: 3.3347 |
| 2025-06-02 04:56:57,961 - pyskl - INFO - Epoch [112][600/1027] lr: 3.832e-03, eta: 4:21:28, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8869, top5_acc: 0.9900, loss_cls: 3.4028, loss: 3.4028 |
| 2025-06-02 04:57:35,888 - pyskl - INFO - Epoch [112][700/1027] lr: 3.814e-03, eta: 4:20:47, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 3.5053, loss: 3.5053 |
| 2025-06-02 04:58:13,832 - pyskl - INFO - Epoch [112][800/1027] lr: 3.796e-03, eta: 4:20:07, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8781, top5_acc: 0.9838, loss_cls: 3.5155, loss: 3.5155 |
| 2025-06-02 04:58:51,742 - pyskl - INFO - Epoch [112][900/1027] lr: 3.778e-03, eta: 4:19:27, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 3.3440, loss: 3.3440 |
| 2025-06-02 04:59:29,804 - pyskl - INFO - Epoch [112][1000/1027] lr: 3.759e-03, eta: 4:18:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8750, top5_acc: 0.9781, loss_cls: 3.4770, loss: 3.4770 |
| 2025-06-02 04:59:40,991 - pyskl - INFO - Saving checkpoint at 112 epochs |
| 2025-06-02 05:00:18,621 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 05:00:18,697 - pyskl - INFO - |
| top1_acc 0.6868 |
| top5_acc 0.9141 |
| 2025-06-02 05:00:18,697 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 05:00:18,705 - pyskl - INFO - |
| mean_acc 0.6831 |
| 2025-06-02 05:00:18,706 - pyskl - INFO - Epoch(val) [112][413] top1_acc: 0.6868, top5_acc: 0.9141, mean_class_accuracy: 0.6831 |
| 2025-06-02 05:01:22,228 - pyskl - INFO - Epoch [113][100/1027] lr: 3.736e-03, eta: 4:18:00, time: 0.635, data_time: 0.253, memory: 7959, top1_acc: 0.9106, top5_acc: 0.9869, loss_cls: 3.3648, loss: 3.3648 |
| 2025-06-02 05:02:00,267 - pyskl - INFO - Epoch [113][200/1027] lr: 3.718e-03, eta: 4:17:20, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 3.2059, loss: 3.2059 |
| 2025-06-02 05:02:38,372 - pyskl - INFO - Epoch [113][300/1027] lr: 3.700e-03, eta: 4:16:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 3.3691, loss: 3.3691 |
| 2025-06-02 05:03:16,663 - pyskl - INFO - Epoch [113][400/1027] lr: 3.682e-03, eta: 4:15:59, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 3.3001, loss: 3.3001 |
| 2025-06-02 05:03:54,720 - pyskl - INFO - Epoch [113][500/1027] lr: 3.664e-03, eta: 4:15:19, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 3.4741, loss: 3.4741 |
| 2025-06-02 05:04:32,772 - pyskl - INFO - Epoch [113][600/1027] lr: 3.646e-03, eta: 4:14:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 3.3846, loss: 3.3846 |
| 2025-06-02 05:05:10,921 - pyskl - INFO - Epoch [113][700/1027] lr: 3.628e-03, eta: 4:13:58, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8812, top5_acc: 0.9906, loss_cls: 3.3040, loss: 3.3040 |
| 2025-06-02 05:05:49,004 - pyskl - INFO - Epoch [113][800/1027] lr: 3.610e-03, eta: 4:13:18, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8819, top5_acc: 0.9838, loss_cls: 3.3954, loss: 3.3954 |
| 2025-06-02 05:06:27,104 - pyskl - INFO - Epoch [113][900/1027] lr: 3.592e-03, eta: 4:12:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 3.3656, loss: 3.3656 |
| 2025-06-02 05:07:05,365 - pyskl - INFO - Epoch [113][1000/1027] lr: 3.574e-03, eta: 4:11:57, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 3.3653, loss: 3.3653 |
| 2025-06-02 05:07:16,494 - pyskl - INFO - Saving checkpoint at 113 epochs |
| 2025-06-02 05:07:54,331 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 05:07:54,404 - pyskl - INFO - |
| top1_acc 0.6956 |
| top5_acc 0.9139 |
| 2025-06-02 05:07:54,404 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 05:07:54,412 - pyskl - INFO - |
| mean_acc 0.6928 |
| 2025-06-02 05:07:54,475 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_110.pth was removed |
| 2025-06-02 05:07:56,063 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. |
| 2025-06-02 05:07:56,064 - pyskl - INFO - Best top1_acc is 0.6956 at 113 epoch. |
| 2025-06-02 05:07:56,068 - pyskl - INFO - Epoch(val) [113][413] top1_acc: 0.6956, top5_acc: 0.9139, mean_class_accuracy: 0.6928 |
| 2025-06-02 05:09:00,041 - pyskl - INFO - Epoch [114][100/1027] lr: 3.551e-03, eta: 4:11:11, time: 0.640, data_time: 0.255, memory: 7959, top1_acc: 0.9394, top5_acc: 0.9925, loss_cls: 3.1113, loss: 3.1113 |
| 2025-06-02 05:09:38,129 - pyskl - INFO - Epoch [114][200/1027] lr: 3.534e-03, eta: 4:10:31, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9219, top5_acc: 0.9894, loss_cls: 3.2726, loss: 3.2726 |
| 2025-06-02 05:10:16,345 - pyskl - INFO - Epoch [114][300/1027] lr: 3.516e-03, eta: 4:09:51, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9131, top5_acc: 0.9862, loss_cls: 3.2714, loss: 3.2714 |
| 2025-06-02 05:10:54,494 - pyskl - INFO - Epoch [114][400/1027] lr: 3.498e-03, eta: 4:09:10, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 3.2456, loss: 3.2456 |
| 2025-06-02 05:11:32,555 - pyskl - INFO - Epoch [114][500/1027] lr: 3.481e-03, eta: 4:08:30, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 3.2832, loss: 3.2832 |
| 2025-06-02 05:12:10,511 - pyskl - INFO - Epoch [114][600/1027] lr: 3.463e-03, eta: 4:07:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9056, top5_acc: 0.9881, loss_cls: 3.2652, loss: 3.2652 |
| 2025-06-02 05:12:48,452 - pyskl - INFO - Epoch [114][700/1027] lr: 3.445e-03, eta: 4:07:09, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 3.2576, loss: 3.2576 |
| 2025-06-02 05:13:26,388 - pyskl - INFO - Epoch [114][800/1027] lr: 3.428e-03, eta: 4:06:29, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 3.4641, loss: 3.4641 |
| 2025-06-02 05:14:04,268 - pyskl - INFO - Epoch [114][900/1027] lr: 3.410e-03, eta: 4:05:49, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8881, top5_acc: 0.9844, loss_cls: 3.4201, loss: 3.4201 |
| 2025-06-02 05:14:42,320 - pyskl - INFO - Epoch [114][1000/1027] lr: 3.393e-03, eta: 4:05:08, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8962, top5_acc: 0.9862, loss_cls: 3.3633, loss: 3.3633 |
| 2025-06-02 05:14:53,438 - pyskl - INFO - Saving checkpoint at 114 epochs |
| 2025-06-02 05:15:31,288 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 05:15:31,374 - pyskl - INFO - |
| top1_acc 0.6886 |
| top5_acc 0.9160 |
| 2025-06-02 05:15:31,374 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 05:15:31,382 - pyskl - INFO - |
| mean_acc 0.6875 |
| 2025-06-02 05:15:31,384 - pyskl - INFO - Epoch(val) [114][413] top1_acc: 0.6886, top5_acc: 0.9160, mean_class_accuracy: 0.6875 |
| 2025-06-02 05:16:35,975 - pyskl - INFO - Epoch [115][100/1027] lr: 3.371e-03, eta: 4:04:22, time: 0.646, data_time: 0.263, memory: 7959, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 3.2701, loss: 3.2701 |
| 2025-06-02 05:17:14,107 - pyskl - INFO - Epoch [115][200/1027] lr: 3.353e-03, eta: 4:03:42, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 3.2629, loss: 3.2629 |
| 2025-06-02 05:17:52,072 - pyskl - INFO - Epoch [115][300/1027] lr: 3.336e-03, eta: 4:03:02, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9244, top5_acc: 0.9900, loss_cls: 3.1965, loss: 3.1965 |
| 2025-06-02 05:18:30,329 - pyskl - INFO - Epoch [115][400/1027] lr: 3.319e-03, eta: 4:02:21, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 3.2015, loss: 3.2015 |
| 2025-06-02 05:19:08,295 - pyskl - INFO - Epoch [115][500/1027] lr: 3.301e-03, eta: 4:01:41, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9231, top5_acc: 0.9862, loss_cls: 3.2614, loss: 3.2614 |
| 2025-06-02 05:19:46,184 - pyskl - INFO - Epoch [115][600/1027] lr: 3.284e-03, eta: 4:01:01, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 3.1902, loss: 3.1902 |
| 2025-06-02 05:20:24,046 - pyskl - INFO - Epoch [115][700/1027] lr: 3.267e-03, eta: 4:00:20, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9169, top5_acc: 0.9894, loss_cls: 3.2750, loss: 3.2750 |
| 2025-06-02 05:21:01,922 - pyskl - INFO - Epoch [115][800/1027] lr: 3.250e-03, eta: 3:59:40, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 3.3671, loss: 3.3671 |
| 2025-06-02 05:21:39,818 - pyskl - INFO - Epoch [115][900/1027] lr: 3.233e-03, eta: 3:59:00, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9206, top5_acc: 0.9869, loss_cls: 3.2300, loss: 3.2300 |
| 2025-06-02 05:22:17,840 - pyskl - INFO - Epoch [115][1000/1027] lr: 3.215e-03, eta: 3:58:20, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 3.2041, loss: 3.2041 |
| 2025-06-02 05:22:28,872 - pyskl - INFO - Saving checkpoint at 115 epochs |
| 2025-06-02 05:41:29,835 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 05:41:29,904 - pyskl - INFO - |
| top1_acc 0.7001 |
| top5_acc 0.9159 |
| 2025-06-02 05:41:29,904 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 05:41:29,910 - pyskl - INFO - |
| mean_acc 0.6949 |
| 2025-06-02 05:41:29,966 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_113.pth was removed |
| 2025-06-02 05:41:31,635 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. |
| 2025-06-02 05:41:31,637 - pyskl - INFO - Best top1_acc is 0.7001 at 115 epoch. |
| 2025-06-02 05:41:31,639 - pyskl - INFO - Epoch(val) [115][413] top1_acc: 0.7001, top5_acc: 0.9159, mean_class_accuracy: 0.6949 |
| 2025-06-02 05:42:33,503 - pyskl - INFO - Epoch [116][100/1027] lr: 3.194e-03, eta: 3:57:32, time: 0.619, data_time: 0.243, memory: 7959, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 3.1329, loss: 3.1329 |
| 2025-06-02 05:43:11,777 - pyskl - INFO - Epoch [116][200/1027] lr: 3.177e-03, eta: 3:56:52, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 2.9535, loss: 2.9535 |
| 2025-06-02 05:43:49,775 - pyskl - INFO - Epoch [116][300/1027] lr: 3.160e-03, eta: 3:56:12, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 2.9765, loss: 2.9765 |
| 2025-06-02 05:44:27,791 - pyskl - INFO - Epoch [116][400/1027] lr: 3.143e-03, eta: 3:55:32, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 3.2231, loss: 3.2231 |
| 2025-06-02 05:45:05,904 - pyskl - INFO - Epoch [116][500/1027] lr: 3.126e-03, eta: 3:54:51, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 3.2006, loss: 3.2006 |
| 2025-06-02 05:45:43,986 - pyskl - INFO - Epoch [116][600/1027] lr: 3.109e-03, eta: 3:54:11, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9250, top5_acc: 0.9950, loss_cls: 3.2945, loss: 3.2945 |
| 2025-06-02 05:46:22,035 - pyskl - INFO - Epoch [116][700/1027] lr: 3.092e-03, eta: 3:53:31, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9219, top5_acc: 0.9888, loss_cls: 3.2463, loss: 3.2463 |
| 2025-06-02 05:46:59,920 - pyskl - INFO - Epoch [116][800/1027] lr: 3.076e-03, eta: 3:52:51, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 3.1567, loss: 3.1567 |
| 2025-06-02 05:47:37,823 - pyskl - INFO - Epoch [116][900/1027] lr: 3.059e-03, eta: 3:52:10, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 3.2309, loss: 3.2309 |
| 2025-06-02 05:48:15,754 - pyskl - INFO - Epoch [116][1000/1027] lr: 3.042e-03, eta: 3:51:30, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 3.2220, loss: 3.2220 |
| 2025-06-02 05:48:26,726 - pyskl - INFO - Saving checkpoint at 116 epochs |
| 2025-06-02 05:49:03,854 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 05:49:03,928 - pyskl - INFO - |
| top1_acc 0.6977 |
| top5_acc 0.9191 |
| 2025-06-02 05:49:03,928 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 05:49:03,936 - pyskl - INFO - |
| mean_acc 0.6988 |
| 2025-06-02 05:49:03,938 - pyskl - INFO - Epoch(val) [116][413] top1_acc: 0.6977, top5_acc: 0.9191, mean_class_accuracy: 0.6988 |
| 2025-06-02 05:50:07,641 - pyskl - INFO - Epoch [117][100/1027] lr: 3.021e-03, eta: 3:50:43, time: 0.637, data_time: 0.254, memory: 7959, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 3.0888, loss: 3.0888 |
| 2025-06-02 05:50:46,201 - pyskl - INFO - Epoch [117][200/1027] lr: 3.004e-03, eta: 3:50:03, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9487, top5_acc: 0.9944, loss_cls: 3.1001, loss: 3.1001 |
| 2025-06-02 05:51:24,354 - pyskl - INFO - Epoch [117][300/1027] lr: 2.988e-03, eta: 3:49:23, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 3.0309, loss: 3.0309 |
| 2025-06-02 05:52:02,403 - pyskl - INFO - Epoch [117][400/1027] lr: 2.971e-03, eta: 3:48:43, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 3.2189, loss: 3.2189 |
| 2025-06-02 05:52:40,536 - pyskl - INFO - Epoch [117][500/1027] lr: 2.955e-03, eta: 3:48:03, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 3.2605, loss: 3.2605 |
| 2025-06-02 05:53:18,710 - pyskl - INFO - Epoch [117][600/1027] lr: 2.938e-03, eta: 3:47:22, time: 0.382, data_time: 0.001, memory: 7959, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 3.2298, loss: 3.2298 |
| 2025-06-02 05:53:56,554 - pyskl - INFO - Epoch [117][700/1027] lr: 2.922e-03, eta: 3:46:42, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 3.1629, loss: 3.1629 |
| 2025-06-02 05:54:34,346 - pyskl - INFO - Epoch [117][800/1027] lr: 2.906e-03, eta: 3:46:02, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 3.0970, loss: 3.0970 |
| 2025-06-02 05:55:12,152 - pyskl - INFO - Epoch [117][900/1027] lr: 2.889e-03, eta: 3:45:21, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 3.3124, loss: 3.3124 |
| 2025-06-02 05:55:49,938 - pyskl - INFO - Epoch [117][1000/1027] lr: 2.873e-03, eta: 3:44:41, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 3.3152, loss: 3.3152 |
| 2025-06-02 05:56:00,891 - pyskl - INFO - Saving checkpoint at 117 epochs |
| 2025-06-02 05:56:38,110 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 05:56:38,181 - pyskl - INFO - |
| top1_acc 0.6959 |
| top5_acc 0.9171 |
| 2025-06-02 05:56:38,181 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 05:56:38,188 - pyskl - INFO - |
| mean_acc 0.6927 |
| 2025-06-02 05:56:38,189 - pyskl - INFO - Epoch(val) [117][413] top1_acc: 0.6959, top5_acc: 0.9171, mean_class_accuracy: 0.6927 |
| 2025-06-02 05:57:42,661 - pyskl - INFO - Epoch [118][100/1027] lr: 2.853e-03, eta: 3:43:55, time: 0.645, data_time: 0.258, memory: 7959, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 3.0063, loss: 3.0063 |
| 2025-06-02 05:58:21,310 - pyskl - INFO - Epoch [118][200/1027] lr: 2.836e-03, eta: 3:43:15, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 3.0625, loss: 3.0625 |
| 2025-06-02 05:58:59,518 - pyskl - INFO - Epoch [118][300/1027] lr: 2.820e-03, eta: 3:42:34, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9369, top5_acc: 0.9975, loss_cls: 3.1565, loss: 3.1565 |
| 2025-06-02 05:59:37,573 - pyskl - INFO - Epoch [118][400/1027] lr: 2.804e-03, eta: 3:41:54, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 3.0661, loss: 3.0661 |
| 2025-06-02 06:00:15,653 - pyskl - INFO - Epoch [118][500/1027] lr: 2.788e-03, eta: 3:41:14, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 2.9986, loss: 2.9986 |
| 2025-06-02 06:00:53,756 - pyskl - INFO - Epoch [118][600/1027] lr: 2.772e-03, eta: 3:40:34, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 3.1410, loss: 3.1410 |
| 2025-06-02 06:01:31,658 - pyskl - INFO - Epoch [118][700/1027] lr: 2.756e-03, eta: 3:39:53, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 3.1377, loss: 3.1377 |
| 2025-06-02 06:02:09,584 - pyskl - INFO - Epoch [118][800/1027] lr: 2.740e-03, eta: 3:39:13, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 3.0923, loss: 3.0923 |
| 2025-06-02 06:02:47,462 - pyskl - INFO - Epoch [118][900/1027] lr: 2.724e-03, eta: 3:38:33, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 3.0928, loss: 3.0928 |
| 2025-06-02 06:03:25,310 - pyskl - INFO - Epoch [118][1000/1027] lr: 2.708e-03, eta: 3:37:53, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 3.1175, loss: 3.1175 |
| 2025-06-02 06:03:36,291 - pyskl - INFO - Saving checkpoint at 118 epochs |
| 2025-06-02 06:04:13,224 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 06:04:13,299 - pyskl - INFO - |
| top1_acc 0.7006 |
| top5_acc 0.9183 |
| 2025-06-02 06:04:13,299 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 06:04:13,306 - pyskl - INFO - |
| mean_acc 0.6989 |
| 2025-06-02 06:04:13,365 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_115.pth was removed |
| 2025-06-02 06:04:14,861 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. |
| 2025-06-02 06:04:14,863 - pyskl - INFO - Best top1_acc is 0.7006 at 118 epoch. |
| 2025-06-02 06:04:14,866 - pyskl - INFO - Epoch(val) [118][413] top1_acc: 0.7006, top5_acc: 0.9183, mean_class_accuracy: 0.6989 |
| 2025-06-02 06:05:18,529 - pyskl - INFO - Epoch [119][100/1027] lr: 2.688e-03, eta: 3:37:06, time: 0.637, data_time: 0.253, memory: 7959, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 3.0851, loss: 3.0851 |
| 2025-06-02 06:05:57,151 - pyskl - INFO - Epoch [119][200/1027] lr: 2.672e-03, eta: 3:36:26, time: 0.386, data_time: 0.001, memory: 7959, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 3.0713, loss: 3.0713 |
| 2025-06-02 06:06:35,296 - pyskl - INFO - Epoch [119][300/1027] lr: 2.657e-03, eta: 3:35:45, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 3.0031, loss: 3.0031 |
| 2025-06-02 06:07:13,373 - pyskl - INFO - Epoch [119][400/1027] lr: 2.641e-03, eta: 3:35:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 3.0452, loss: 3.0452 |
| 2025-06-02 06:07:51,521 - pyskl - INFO - Epoch [119][500/1027] lr: 2.625e-03, eta: 3:34:25, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 3.1106, loss: 3.1106 |
| 2025-06-02 06:08:29,743 - pyskl - INFO - Epoch [119][600/1027] lr: 2.610e-03, eta: 3:33:45, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 2.9830, loss: 2.9830 |
| 2025-06-02 06:09:07,639 - pyskl - INFO - Epoch [119][700/1027] lr: 2.594e-03, eta: 3:33:05, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 3.1478, loss: 3.1478 |
| 2025-06-02 06:09:45,505 - pyskl - INFO - Epoch [119][800/1027] lr: 2.579e-03, eta: 3:32:24, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 3.0783, loss: 3.0783 |
| 2025-06-02 06:10:23,377 - pyskl - INFO - Epoch [119][900/1027] lr: 2.563e-03, eta: 3:31:44, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 3.0603, loss: 3.0603 |
| 2025-06-02 06:11:01,206 - pyskl - INFO - Epoch [119][1000/1027] lr: 2.548e-03, eta: 3:31:04, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 3.1068, loss: 3.1068 |
| 2025-06-02 06:11:12,171 - pyskl - INFO - Saving checkpoint at 119 epochs |
| 2025-06-02 06:11:49,296 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 06:11:49,366 - pyskl - INFO - |
| top1_acc 0.7039 |
| top5_acc 0.9198 |
| 2025-06-02 06:11:49,366 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 06:11:49,373 - pyskl - INFO - |
| mean_acc 0.7046 |
| 2025-06-02 06:11:49,431 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_118.pth was removed |
| 2025-06-02 06:11:50,930 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. |
| 2025-06-02 06:11:50,931 - pyskl - INFO - Best top1_acc is 0.7039 at 119 epoch. |
| 2025-06-02 06:11:50,934 - pyskl - INFO - Epoch(val) [119][413] top1_acc: 0.7039, top5_acc: 0.9198, mean_class_accuracy: 0.7046 |
| 2025-06-02 06:12:54,330 - pyskl - INFO - Epoch [120][100/1027] lr: 2.528e-03, eta: 3:30:17, time: 0.634, data_time: 0.253, memory: 7959, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 2.9582, loss: 2.9582 |
| 2025-06-02 06:13:32,594 - pyskl - INFO - Epoch [120][200/1027] lr: 2.513e-03, eta: 3:29:37, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 3.0206, loss: 3.0206 |
| 2025-06-02 06:14:10,898 - pyskl - INFO - Epoch [120][300/1027] lr: 2.497e-03, eta: 3:28:57, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 3.0858, loss: 3.0858 |
| 2025-06-02 06:14:49,090 - pyskl - INFO - Epoch [120][400/1027] lr: 2.482e-03, eta: 3:28:16, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 2.9963, loss: 2.9963 |
| 2025-06-02 06:15:27,461 - pyskl - INFO - Epoch [120][500/1027] lr: 2.467e-03, eta: 3:27:36, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 2.9789, loss: 2.9789 |
| 2025-06-02 06:16:05,604 - pyskl - INFO - Epoch [120][600/1027] lr: 2.452e-03, eta: 3:26:56, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 3.1100, loss: 3.1100 |
| 2025-06-02 06:16:43,470 - pyskl - INFO - Epoch [120][700/1027] lr: 2.437e-03, eta: 3:26:16, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 2.9823, loss: 2.9823 |
| 2025-06-02 06:17:21,355 - pyskl - INFO - Epoch [120][800/1027] lr: 2.422e-03, eta: 3:25:36, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 3.0298, loss: 3.0298 |
| 2025-06-02 06:17:59,313 - pyskl - INFO - Epoch [120][900/1027] lr: 2.407e-03, eta: 3:24:56, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 3.0267, loss: 3.0267 |
| 2025-06-02 06:18:37,380 - pyskl - INFO - Epoch [120][1000/1027] lr: 2.391e-03, eta: 3:24:15, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 3.0069, loss: 3.0069 |
| 2025-06-02 06:18:48,612 - pyskl - INFO - Saving checkpoint at 120 epochs |
| 2025-06-02 06:39:19,044 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 06:39:19,112 - pyskl - INFO - |
| top1_acc 0.7031 |
| top5_acc 0.9154 |
| 2025-06-02 06:39:19,112 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 06:39:19,118 - pyskl - INFO - |
| mean_acc 0.6987 |
| 2025-06-02 06:39:19,119 - pyskl - INFO - Epoch(val) [120][413] top1_acc: 0.7031, top5_acc: 0.9154, mean_class_accuracy: 0.6987 |
| 2025-06-02 06:40:20,763 - pyskl - INFO - Epoch [121][100/1027] lr: 2.372e-03, eta: 3:23:28, time: 0.616, data_time: 0.243, memory: 7959, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 2.9210, loss: 2.9210 |
| 2025-06-02 06:40:59,196 - pyskl - INFO - Epoch [121][200/1027] lr: 2.358e-03, eta: 3:22:48, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 3.0197, loss: 3.0197 |
| 2025-06-02 06:41:37,380 - pyskl - INFO - Epoch [121][300/1027] lr: 2.343e-03, eta: 3:22:07, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 3.0194, loss: 3.0194 |
| 2025-06-02 06:42:15,331 - pyskl - INFO - Epoch [121][400/1027] lr: 2.328e-03, eta: 3:21:27, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 2.9476, loss: 2.9476 |
| 2025-06-02 06:42:53,271 - pyskl - INFO - Epoch [121][500/1027] lr: 2.313e-03, eta: 3:20:47, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 3.0064, loss: 3.0064 |
| 2025-06-02 06:43:31,206 - pyskl - INFO - Epoch [121][600/1027] lr: 2.298e-03, eta: 3:20:07, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 2.9275, loss: 2.9275 |
| 2025-06-02 06:44:09,127 - pyskl - INFO - Epoch [121][700/1027] lr: 2.284e-03, eta: 3:19:27, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 2.9907, loss: 2.9907 |
| 2025-06-02 06:44:47,072 - pyskl - INFO - Epoch [121][800/1027] lr: 2.269e-03, eta: 3:18:46, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 2.9304, loss: 2.9304 |
| 2025-06-02 06:45:24,998 - pyskl - INFO - Epoch [121][900/1027] lr: 2.254e-03, eta: 3:18:06, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 3.0679, loss: 3.0679 |
| 2025-06-02 06:46:02,939 - pyskl - INFO - Epoch [121][1000/1027] lr: 2.240e-03, eta: 3:17:26, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 3.0318, loss: 3.0318 |
| 2025-06-02 06:46:14,075 - pyskl - INFO - Saving checkpoint at 121 epochs |
| 2025-06-02 06:46:51,715 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 06:46:51,786 - pyskl - INFO - |
| top1_acc 0.7030 |
| top5_acc 0.9207 |
| 2025-06-02 06:46:51,787 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 06:46:51,794 - pyskl - INFO - |
| mean_acc 0.7018 |
| 2025-06-02 06:46:51,796 - pyskl - INFO - Epoch(val) [121][413] top1_acc: 0.7030, top5_acc: 0.9207, mean_class_accuracy: 0.7018 |
| 2025-06-02 06:47:56,508 - pyskl - INFO - Epoch [122][100/1027] lr: 2.221e-03, eta: 3:16:39, time: 0.647, data_time: 0.263, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 2.8178, loss: 2.8178 |
| 2025-06-02 06:48:35,806 - pyskl - INFO - Epoch [122][200/1027] lr: 2.207e-03, eta: 3:15:59, time: 0.393, data_time: 0.000, memory: 7959, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 2.8745, loss: 2.8745 |
| 2025-06-02 06:49:14,278 - pyskl - INFO - Epoch [122][300/1027] lr: 2.192e-03, eta: 3:15:19, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 2.9193, loss: 2.9193 |
| 2025-06-02 06:49:52,436 - pyskl - INFO - Epoch [122][400/1027] lr: 2.178e-03, eta: 3:14:39, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 2.9150, loss: 2.9150 |
| 2025-06-02 06:50:30,607 - pyskl - INFO - Epoch [122][500/1027] lr: 2.164e-03, eta: 3:13:59, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 2.9516, loss: 2.9516 |
| 2025-06-02 06:51:08,654 - pyskl - INFO - Epoch [122][600/1027] lr: 2.149e-03, eta: 3:13:19, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 2.8230, loss: 2.8230 |
| 2025-06-02 06:51:46,641 - pyskl - INFO - Epoch [122][700/1027] lr: 2.135e-03, eta: 3:12:39, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 2.8571, loss: 2.8571 |
| 2025-06-02 06:52:24,677 - pyskl - INFO - Epoch [122][800/1027] lr: 2.121e-03, eta: 3:11:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 2.9261, loss: 2.9261 |
| 2025-06-02 06:53:02,705 - pyskl - INFO - Epoch [122][900/1027] lr: 2.107e-03, eta: 3:11:18, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 2.9012, loss: 2.9012 |
| 2025-06-02 06:53:40,778 - pyskl - INFO - Epoch [122][1000/1027] lr: 2.092e-03, eta: 3:10:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 2.9693, loss: 2.9693 |
| 2025-06-02 06:53:51,905 - pyskl - INFO - Saving checkpoint at 122 epochs |
| 2025-06-02 06:54:29,599 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 06:54:29,670 - pyskl - INFO - |
| top1_acc 0.7034 |
| top5_acc 0.9153 |
| 2025-06-02 06:54:29,670 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 06:54:29,678 - pyskl - INFO - |
| mean_acc 0.7031 |
| 2025-06-02 06:54:29,679 - pyskl - INFO - Epoch(val) [122][413] top1_acc: 0.7034, top5_acc: 0.9153, mean_class_accuracy: 0.7031 |
| 2025-06-02 06:55:33,829 - pyskl - INFO - Epoch [123][100/1027] lr: 2.075e-03, eta: 3:09:51, time: 0.641, data_time: 0.254, memory: 7959, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 2.8960, loss: 2.8960 |
| 2025-06-02 06:56:12,838 - pyskl - INFO - Epoch [123][200/1027] lr: 2.060e-03, eta: 3:09:11, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 2.9543, loss: 2.9543 |
| 2025-06-02 06:56:51,403 - pyskl - INFO - Epoch [123][300/1027] lr: 2.046e-03, eta: 3:08:31, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 2.8496, loss: 2.8496 |
| 2025-06-02 06:57:29,742 - pyskl - INFO - Epoch [123][400/1027] lr: 2.033e-03, eta: 3:07:51, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 2.8528, loss: 2.8528 |
| 2025-06-02 06:58:07,708 - pyskl - INFO - Epoch [123][500/1027] lr: 2.019e-03, eta: 3:07:11, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 2.9152, loss: 2.9152 |
| 2025-06-02 06:58:45,651 - pyskl - INFO - Epoch [123][600/1027] lr: 2.005e-03, eta: 3:06:31, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 2.8690, loss: 2.8690 |
| 2025-06-02 06:59:23,566 - pyskl - INFO - Epoch [123][700/1027] lr: 1.991e-03, eta: 3:05:50, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 2.8774, loss: 2.8774 |
| 2025-06-02 07:00:01,589 - pyskl - INFO - Epoch [123][800/1027] lr: 1.977e-03, eta: 3:05:10, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 2.8743, loss: 2.8743 |
| 2025-06-02 07:00:39,513 - pyskl - INFO - Epoch [123][900/1027] lr: 1.963e-03, eta: 3:04:30, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 2.9927, loss: 2.9927 |
| 2025-06-02 07:01:17,555 - pyskl - INFO - Epoch [123][1000/1027] lr: 1.950e-03, eta: 3:03:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 3.0011, loss: 3.0011 |
| 2025-06-02 07:01:28,727 - pyskl - INFO - Saving checkpoint at 123 epochs |
| 2025-06-02 07:02:05,971 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 07:02:06,042 - pyskl - INFO - |
| top1_acc 0.6986 |
| top5_acc 0.9165 |
| 2025-06-02 07:02:06,042 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 07:02:06,049 - pyskl - INFO - |
| mean_acc 0.6936 |
| 2025-06-02 07:02:06,051 - pyskl - INFO - Epoch(val) [123][413] top1_acc: 0.6986, top5_acc: 0.9165, mean_class_accuracy: 0.6936 |
| 2025-06-02 07:03:09,764 - pyskl - INFO - Epoch [124][100/1027] lr: 1.932e-03, eta: 3:03:02, time: 0.637, data_time: 0.252, memory: 7959, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 2.8834, loss: 2.8834 |
| 2025-06-02 07:03:48,601 - pyskl - INFO - Epoch [124][200/1027] lr: 1.919e-03, eta: 3:02:22, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 2.8892, loss: 2.8892 |
| 2025-06-02 07:04:26,849 - pyskl - INFO - Epoch [124][300/1027] lr: 1.905e-03, eta: 3:01:42, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 2.7622, loss: 2.7622 |
| 2025-06-02 07:05:04,830 - pyskl - INFO - Epoch [124][400/1027] lr: 1.892e-03, eta: 3:01:02, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 2.8585, loss: 2.8585 |
| 2025-06-02 07:05:42,902 - pyskl - INFO - Epoch [124][500/1027] lr: 1.878e-03, eta: 3:00:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 2.9308, loss: 2.9308 |
| 2025-06-02 07:06:20,932 - pyskl - INFO - Epoch [124][600/1027] lr: 1.865e-03, eta: 2:59:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 2.8805, loss: 2.8805 |
| 2025-06-02 07:06:58,866 - pyskl - INFO - Epoch [124][700/1027] lr: 1.851e-03, eta: 2:59:02, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 2.8520, loss: 2.8520 |
| 2025-06-02 07:07:36,853 - pyskl - INFO - Epoch [124][800/1027] lr: 1.838e-03, eta: 2:58:22, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 2.9015, loss: 2.9015 |
| 2025-06-02 07:08:14,803 - pyskl - INFO - Epoch [124][900/1027] lr: 1.825e-03, eta: 2:57:42, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 2.9176, loss: 2.9176 |
| 2025-06-02 07:08:52,732 - pyskl - INFO - Epoch [124][1000/1027] lr: 1.812e-03, eta: 2:57:02, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 2.8090, loss: 2.8090 |
| 2025-06-02 07:09:03,995 - pyskl - INFO - Saving checkpoint at 124 epochs |
| 2025-06-02 07:09:41,948 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 07:09:42,021 - pyskl - INFO - |
| top1_acc 0.7134 |
| top5_acc 0.9198 |
| 2025-06-02 07:09:42,022 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 07:09:42,030 - pyskl - INFO - |
| mean_acc 0.7150 |
| 2025-06-02 07:09:42,089 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_119.pth was removed |
| 2025-06-02 07:09:43,661 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. |
| 2025-06-02 07:09:43,662 - pyskl - INFO - Best top1_acc is 0.7134 at 124 epoch. |
| 2025-06-02 07:09:43,666 - pyskl - INFO - Epoch(val) [124][413] top1_acc: 0.7134, top5_acc: 0.9198, mean_class_accuracy: 0.7150 |
| 2025-06-02 07:10:48,175 - pyskl - INFO - Epoch [125][100/1027] lr: 1.795e-03, eta: 2:56:14, time: 0.645, data_time: 0.260, memory: 7959, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 2.7789, loss: 2.7789 |
| 2025-06-02 07:11:26,823 - pyskl - INFO - Epoch [125][200/1027] lr: 1.782e-03, eta: 2:55:34, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 2.8716, loss: 2.8716 |
| 2025-06-02 07:12:05,526 - pyskl - INFO - Epoch [125][300/1027] lr: 1.769e-03, eta: 2:54:54, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 2.8592, loss: 2.8592 |
| 2025-06-02 07:12:43,546 - pyskl - INFO - Epoch [125][400/1027] lr: 1.756e-03, eta: 2:54:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 2.8145, loss: 2.8145 |
| 2025-06-02 07:13:21,427 - pyskl - INFO - Epoch [125][500/1027] lr: 1.743e-03, eta: 2:53:34, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 2.9131, loss: 2.9131 |
| 2025-06-02 07:13:59,335 - pyskl - INFO - Epoch [125][600/1027] lr: 1.730e-03, eta: 2:52:54, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 2.9396, loss: 2.9396 |
| 2025-06-02 07:14:37,277 - pyskl - INFO - Epoch [125][700/1027] lr: 1.717e-03, eta: 2:52:14, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 3.0221, loss: 3.0221 |
| 2025-06-02 07:15:15,192 - pyskl - INFO - Epoch [125][800/1027] lr: 1.704e-03, eta: 2:51:33, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 2.8420, loss: 2.8420 |
| 2025-06-02 07:15:53,097 - pyskl - INFO - Epoch [125][900/1027] lr: 1.691e-03, eta: 2:50:53, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 2.8382, loss: 2.8382 |
| 2025-06-02 07:16:30,971 - pyskl - INFO - Epoch [125][1000/1027] lr: 1.678e-03, eta: 2:50:13, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 2.7701, loss: 2.7701 |
| 2025-06-02 07:16:42,021 - pyskl - INFO - Saving checkpoint at 125 epochs |
| 2025-06-02 07:36:49,440 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 07:36:49,510 - pyskl - INFO - |
| top1_acc 0.7147 |
| top5_acc 0.9195 |
| 2025-06-02 07:36:49,510 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 07:36:49,517 - pyskl - INFO - |
| mean_acc 0.7090 |
| 2025-06-02 07:36:49,572 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_124.pth was removed |
| 2025-06-02 07:36:51,018 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. |
| 2025-06-02 07:36:51,019 - pyskl - INFO - Best top1_acc is 0.7147 at 125 epoch. |
| 2025-06-02 07:36:51,022 - pyskl - INFO - Epoch(val) [125][413] top1_acc: 0.7147, top5_acc: 0.9195, mean_class_accuracy: 0.7090 |
| 2025-06-02 07:37:52,511 - pyskl - INFO - Epoch [126][100/1027] lr: 1.662e-03, eta: 2:49:25, time: 0.615, data_time: 0.242, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 2.8627, loss: 2.8627 |
| 2025-06-02 07:38:30,592 - pyskl - INFO - Epoch [126][200/1027] lr: 1.649e-03, eta: 2:48:45, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 2.7753, loss: 2.7753 |
| 2025-06-02 07:39:09,206 - pyskl - INFO - Epoch [126][300/1027] lr: 1.637e-03, eta: 2:48:05, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 2.7275, loss: 2.7275 |
| 2025-06-02 07:39:47,223 - pyskl - INFO - Epoch [126][400/1027] lr: 1.624e-03, eta: 2:47:25, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.7060, loss: 2.7060 |
| 2025-06-02 07:40:25,252 - pyskl - INFO - Epoch [126][500/1027] lr: 1.612e-03, eta: 2:46:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 2.7531, loss: 2.7531 |
| 2025-06-02 07:41:03,263 - pyskl - INFO - Epoch [126][600/1027] lr: 1.599e-03, eta: 2:46:05, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 2.7426, loss: 2.7426 |
| 2025-06-02 07:41:41,271 - pyskl - INFO - Epoch [126][700/1027] lr: 1.587e-03, eta: 2:45:25, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 2.8526, loss: 2.8526 |
| 2025-06-02 07:42:19,323 - pyskl - INFO - Epoch [126][800/1027] lr: 1.574e-03, eta: 2:44:45, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 2.8119, loss: 2.8119 |
| 2025-06-02 07:42:57,501 - pyskl - INFO - Epoch [126][900/1027] lr: 1.562e-03, eta: 2:44:04, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 2.8817, loss: 2.8817 |
| 2025-06-02 07:43:35,531 - pyskl - INFO - Epoch [126][1000/1027] lr: 1.550e-03, eta: 2:43:24, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 2.8410, loss: 2.8410 |
| 2025-06-02 07:43:46,748 - pyskl - INFO - Saving checkpoint at 126 epochs |
| 2025-06-02 07:44:24,763 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 07:44:24,836 - pyskl - INFO - |
| top1_acc 0.7115 |
| top5_acc 0.9185 |
| 2025-06-02 07:44:24,836 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 07:44:24,846 - pyskl - INFO - |
| mean_acc 0.7088 |
| 2025-06-02 07:44:24,847 - pyskl - INFO - Epoch(val) [126][413] top1_acc: 0.7115, top5_acc: 0.9185, mean_class_accuracy: 0.7088 |
| 2025-06-02 07:45:28,881 - pyskl - INFO - Epoch [127][100/1027] lr: 1.534e-03, eta: 2:42:37, time: 0.640, data_time: 0.258, memory: 7959, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.7718, loss: 2.7718 |
| 2025-06-02 07:46:07,460 - pyskl - INFO - Epoch [127][200/1027] lr: 1.522e-03, eta: 2:41:57, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.8805, loss: 2.8805 |
| 2025-06-02 07:46:46,156 - pyskl - INFO - Epoch [127][300/1027] lr: 1.510e-03, eta: 2:41:17, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 2.8647, loss: 2.8647 |
| 2025-06-02 07:47:24,249 - pyskl - INFO - Epoch [127][400/1027] lr: 1.498e-03, eta: 2:40:37, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 2.7365, loss: 2.7365 |
| 2025-06-02 07:48:02,235 - pyskl - INFO - Epoch [127][500/1027] lr: 1.485e-03, eta: 2:39:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 2.7813, loss: 2.7813 |
| 2025-06-02 07:48:40,336 - pyskl - INFO - Epoch [127][600/1027] lr: 1.473e-03, eta: 2:39:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 2.7414, loss: 2.7414 |
| 2025-06-02 07:49:18,417 - pyskl - INFO - Epoch [127][700/1027] lr: 1.461e-03, eta: 2:38:36, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 2.7211, loss: 2.7211 |
| 2025-06-02 07:49:56,383 - pyskl - INFO - Epoch [127][800/1027] lr: 1.450e-03, eta: 2:37:56, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 2.7603, loss: 2.7603 |
| 2025-06-02 07:50:34,337 - pyskl - INFO - Epoch [127][900/1027] lr: 1.438e-03, eta: 2:37:16, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 2.8034, loss: 2.8034 |
| 2025-06-02 07:51:12,331 - pyskl - INFO - Epoch [127][1000/1027] lr: 1.426e-03, eta: 2:36:36, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 2.6801, loss: 2.6801 |
| 2025-06-02 07:51:23,384 - pyskl - INFO - Saving checkpoint at 127 epochs |
| 2025-06-02 07:52:00,696 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 07:52:00,767 - pyskl - INFO - |
| top1_acc 0.7103 |
| top5_acc 0.9168 |
| 2025-06-02 07:52:00,768 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 07:52:00,775 - pyskl - INFO - |
| mean_acc 0.7097 |
| 2025-06-02 07:52:00,776 - pyskl - INFO - Epoch(val) [127][413] top1_acc: 0.7103, top5_acc: 0.9168, mean_class_accuracy: 0.7097 |
| 2025-06-02 07:53:04,134 - pyskl - INFO - Epoch [128][100/1027] lr: 1.411e-03, eta: 2:35:48, time: 0.634, data_time: 0.253, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.8616, loss: 2.8616 |
| 2025-06-02 07:53:42,944 - pyskl - INFO - Epoch [128][200/1027] lr: 1.399e-03, eta: 2:35:08, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.6662, loss: 2.6662 |
| 2025-06-02 07:54:21,831 - pyskl - INFO - Epoch [128][300/1027] lr: 1.387e-03, eta: 2:34:28, time: 0.389, data_time: 0.001, memory: 7959, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 2.7751, loss: 2.7751 |
| 2025-06-02 07:54:59,941 - pyskl - INFO - Epoch [128][400/1027] lr: 1.376e-03, eta: 2:33:48, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 2.7379, loss: 2.7379 |
| 2025-06-02 07:55:37,946 - pyskl - INFO - Epoch [128][500/1027] lr: 1.364e-03, eta: 2:33:08, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.7221, loss: 2.7221 |
| 2025-06-02 07:56:15,899 - pyskl - INFO - Epoch [128][600/1027] lr: 1.353e-03, eta: 2:32:28, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 2.6755, loss: 2.6755 |
| 2025-06-02 07:56:53,927 - pyskl - INFO - Epoch [128][700/1027] lr: 1.341e-03, eta: 2:31:48, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.6768, loss: 2.6768 |
| 2025-06-02 07:57:31,906 - pyskl - INFO - Epoch [128][800/1027] lr: 1.330e-03, eta: 2:31:08, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.6699, loss: 2.6699 |
| 2025-06-02 07:58:09,897 - pyskl - INFO - Epoch [128][900/1027] lr: 1.318e-03, eta: 2:30:28, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 2.8466, loss: 2.8466 |
| 2025-06-02 07:58:48,245 - pyskl - INFO - Epoch [128][1000/1027] lr: 1.307e-03, eta: 2:29:48, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.8557, loss: 2.8557 |
| 2025-06-02 07:58:59,317 - pyskl - INFO - Saving checkpoint at 128 epochs |
| 2025-06-02 07:59:36,830 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 07:59:36,901 - pyskl - INFO - |
| top1_acc 0.7083 |
| top5_acc 0.9167 |
| 2025-06-02 07:59:36,902 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 07:59:36,909 - pyskl - INFO - |
| mean_acc 0.7050 |
| 2025-06-02 07:59:36,911 - pyskl - INFO - Epoch(val) [128][413] top1_acc: 0.7083, top5_acc: 0.9167, mean_class_accuracy: 0.7050 |
| 2025-06-02 08:00:40,646 - pyskl - INFO - Epoch [129][100/1027] lr: 1.292e-03, eta: 2:29:00, time: 0.637, data_time: 0.256, memory: 7959, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 2.6861, loss: 2.6861 |
| 2025-06-02 08:01:19,376 - pyskl - INFO - Epoch [129][200/1027] lr: 1.281e-03, eta: 2:28:20, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.8130, loss: 2.8130 |
| 2025-06-02 08:01:58,096 - pyskl - INFO - Epoch [129][300/1027] lr: 1.270e-03, eta: 2:27:40, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 2.7018, loss: 2.7018 |
| 2025-06-02 08:02:36,035 - pyskl - INFO - Epoch [129][400/1027] lr: 1.259e-03, eta: 2:27:00, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.6498, loss: 2.6498 |
| 2025-06-02 08:03:13,959 - pyskl - INFO - Epoch [129][500/1027] lr: 1.248e-03, eta: 2:26:20, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 2.8141, loss: 2.8141 |
| 2025-06-02 08:03:51,913 - pyskl - INFO - Epoch [129][600/1027] lr: 1.237e-03, eta: 2:25:40, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 2.7115, loss: 2.7115 |
| 2025-06-02 08:04:29,898 - pyskl - INFO - Epoch [129][700/1027] lr: 1.226e-03, eta: 2:25:00, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 2.7479, loss: 2.7479 |
| 2025-06-02 08:05:07,849 - pyskl - INFO - Epoch [129][800/1027] lr: 1.215e-03, eta: 2:24:20, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 2.6489, loss: 2.6489 |
| 2025-06-02 08:05:45,808 - pyskl - INFO - Epoch [129][900/1027] lr: 1.204e-03, eta: 2:23:40, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.6873, loss: 2.6873 |
| 2025-06-02 08:06:23,849 - pyskl - INFO - Epoch [129][1000/1027] lr: 1.193e-03, eta: 2:23:00, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.6989, loss: 2.6989 |
| 2025-06-02 08:06:34,893 - pyskl - INFO - Saving checkpoint at 129 epochs |
| 2025-06-02 08:07:12,117 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 08:07:12,189 - pyskl - INFO - |
| top1_acc 0.7148 |
| top5_acc 0.9173 |
| 2025-06-02 08:07:12,190 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 08:07:12,197 - pyskl - INFO - |
| mean_acc 0.7120 |
| 2025-06-02 08:07:12,252 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_125.pth was removed |
| 2025-06-02 08:07:13,754 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. |
| 2025-06-02 08:07:13,755 - pyskl - INFO - Best top1_acc is 0.7148 at 129 epoch. |
| 2025-06-02 08:07:13,758 - pyskl - INFO - Epoch(val) [129][413] top1_acc: 0.7148, top5_acc: 0.9173, mean_class_accuracy: 0.7120 |
| 2025-06-02 08:08:17,244 - pyskl - INFO - Epoch [130][100/1027] lr: 1.179e-03, eta: 2:22:11, time: 0.635, data_time: 0.254, memory: 7959, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.6584, loss: 2.6584 |
| 2025-06-02 08:08:55,808 - pyskl - INFO - Epoch [130][200/1027] lr: 1.168e-03, eta: 2:21:31, time: 0.386, data_time: 0.001, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 2.6716, loss: 2.6716 |
| 2025-06-02 08:09:34,608 - pyskl - INFO - Epoch [130][300/1027] lr: 1.157e-03, eta: 2:20:52, time: 0.388, data_time: 0.001, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.5880, loss: 2.5880 |
| 2025-06-02 08:10:12,791 - pyskl - INFO - Epoch [130][400/1027] lr: 1.147e-03, eta: 2:20:12, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.6673, loss: 2.6673 |
| 2025-06-02 08:10:50,826 - pyskl - INFO - Epoch [130][500/1027] lr: 1.136e-03, eta: 2:19:32, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.7188, loss: 2.7188 |
| 2025-06-02 08:11:28,941 - pyskl - INFO - Epoch [130][600/1027] lr: 1.125e-03, eta: 2:18:52, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.6986, loss: 2.6986 |
| 2025-06-02 08:12:06,911 - pyskl - INFO - Epoch [130][700/1027] lr: 1.115e-03, eta: 2:18:12, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 2.5976, loss: 2.5976 |
| 2025-06-02 08:12:44,843 - pyskl - INFO - Epoch [130][800/1027] lr: 1.104e-03, eta: 2:17:32, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 2.6670, loss: 2.6670 |
| 2025-06-02 08:13:22,836 - pyskl - INFO - Epoch [130][900/1027] lr: 1.094e-03, eta: 2:16:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.6235, loss: 2.6235 |
| 2025-06-02 08:14:00,805 - pyskl - INFO - Epoch [130][1000/1027] lr: 1.084e-03, eta: 2:16:12, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.7188, loss: 2.7188 |
| 2025-06-02 08:14:12,008 - pyskl - INFO - Saving checkpoint at 130 epochs |
| 2025-06-02 08:33:29,413 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 08:33:29,483 - pyskl - INFO - |
| top1_acc 0.7172 |
| top5_acc 0.9226 |
| 2025-06-02 08:33:29,483 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 08:33:29,490 - pyskl - INFO - |
| mean_acc 0.7157 |
| 2025-06-02 08:33:29,544 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_129.pth was removed |
| 2025-06-02 08:33:31,052 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. |
| 2025-06-02 08:33:31,054 - pyskl - INFO - Best top1_acc is 0.7172 at 130 epoch. |
| 2025-06-02 08:33:31,056 - pyskl - INFO - Epoch(val) [130][413] top1_acc: 0.7172, top5_acc: 0.9226, mean_class_accuracy: 0.7157 |
| 2025-06-02 08:34:32,679 - pyskl - INFO - Epoch [131][100/1027] lr: 1.070e-03, eta: 2:15:23, time: 0.616, data_time: 0.243, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.5767, loss: 2.5767 |
| 2025-06-02 08:35:10,544 - pyskl - INFO - Epoch [131][200/1027] lr: 1.060e-03, eta: 2:14:43, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.6897, loss: 2.6897 |
| 2025-06-02 08:35:48,538 - pyskl - INFO - Epoch [131][300/1027] lr: 1.050e-03, eta: 2:14:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.5699, loss: 2.5699 |
| 2025-06-02 08:36:26,656 - pyskl - INFO - Epoch [131][400/1027] lr: 1.040e-03, eta: 2:13:23, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 2.6914, loss: 2.6914 |
| 2025-06-02 08:37:04,557 - pyskl - INFO - Epoch [131][500/1027] lr: 1.030e-03, eta: 2:12:43, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.6543, loss: 2.6543 |
| 2025-06-02 08:37:42,736 - pyskl - INFO - Epoch [131][600/1027] lr: 1.019e-03, eta: 2:12:03, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 2.6749, loss: 2.6749 |
| 2025-06-02 08:38:20,745 - pyskl - INFO - Epoch [131][700/1027] lr: 1.009e-03, eta: 2:11:23, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 2.6080, loss: 2.6080 |
| 2025-06-02 08:38:58,718 - pyskl - INFO - Epoch [131][800/1027] lr: 9.994e-04, eta: 2:10:43, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 2.6801, loss: 2.6801 |
| 2025-06-02 08:39:36,724 - pyskl - INFO - Epoch [131][900/1027] lr: 9.894e-04, eta: 2:10:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 2.6870, loss: 2.6870 |
| 2025-06-02 08:40:14,696 - pyskl - INFO - Epoch [131][1000/1027] lr: 9.795e-04, eta: 2:09:23, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.6210, loss: 2.6210 |
| 2025-06-02 08:40:25,721 - pyskl - INFO - Saving checkpoint at 131 epochs |
| 2025-06-02 08:41:03,170 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 08:41:03,241 - pyskl - INFO - |
| top1_acc 0.7080 |
| top5_acc 0.9179 |
| 2025-06-02 08:41:03,241 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 08:41:03,249 - pyskl - INFO - |
| mean_acc 0.7057 |
| 2025-06-02 08:41:03,250 - pyskl - INFO - Epoch(val) [131][413] top1_acc: 0.7080, top5_acc: 0.9179, mean_class_accuracy: 0.7057 |
| 2025-06-02 08:42:06,556 - pyskl - INFO - Epoch [132][100/1027] lr: 9.670e-04, eta: 2:08:34, time: 0.633, data_time: 0.252, memory: 7959, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.6083, loss: 2.6083 |
| 2025-06-02 08:42:44,748 - pyskl - INFO - Epoch [132][200/1027] lr: 9.571e-04, eta: 2:07:54, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.6322, loss: 2.6322 |
| 2025-06-02 08:43:23,329 - pyskl - INFO - Epoch [132][300/1027] lr: 9.474e-04, eta: 2:07:14, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.7356, loss: 2.7356 |
| 2025-06-02 08:44:01,643 - pyskl - INFO - Epoch [132][400/1027] lr: 9.377e-04, eta: 2:06:34, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.5623, loss: 2.5623 |
| 2025-06-02 08:44:39,921 - pyskl - INFO - Epoch [132][500/1027] lr: 9.280e-04, eta: 2:05:54, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.6128, loss: 2.6128 |
| 2025-06-02 08:45:18,341 - pyskl - INFO - Epoch [132][600/1027] lr: 9.184e-04, eta: 2:05:15, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 2.6577, loss: 2.6577 |
| 2025-06-02 08:45:56,409 - pyskl - INFO - Epoch [132][700/1027] lr: 9.088e-04, eta: 2:04:35, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 2.6113, loss: 2.6113 |
| 2025-06-02 08:46:34,439 - pyskl - INFO - Epoch [132][800/1027] lr: 8.993e-04, eta: 2:03:55, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.6186, loss: 2.6186 |
| 2025-06-02 08:47:12,420 - pyskl - INFO - Epoch [132][900/1027] lr: 8.898e-04, eta: 2:03:15, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.6498, loss: 2.6498 |
| 2025-06-02 08:47:50,395 - pyskl - INFO - Epoch [132][1000/1027] lr: 8.804e-04, eta: 2:02:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.6308, loss: 2.6308 |
| 2025-06-02 08:48:01,391 - pyskl - INFO - Saving checkpoint at 132 epochs |
| 2025-06-02 08:48:38,436 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 08:48:38,506 - pyskl - INFO - |
| top1_acc 0.7236 |
| top5_acc 0.9180 |
| 2025-06-02 08:48:38,507 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 08:48:38,515 - pyskl - INFO - |
| mean_acc 0.7217 |
| 2025-06-02 08:48:38,571 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_130.pth was removed |
| 2025-06-02 08:48:40,150 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. |
| 2025-06-02 08:48:40,152 - pyskl - INFO - Best top1_acc is 0.7236 at 132 epoch. |
| 2025-06-02 08:48:40,155 - pyskl - INFO - Epoch(val) [132][413] top1_acc: 0.7236, top5_acc: 0.9180, mean_class_accuracy: 0.7217 |
| 2025-06-02 08:49:43,421 - pyskl - INFO - Epoch [133][100/1027] lr: 8.685e-04, eta: 2:01:46, time: 0.633, data_time: 0.250, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.6889, loss: 2.6889 |
| 2025-06-02 08:50:21,743 - pyskl - INFO - Epoch [133][200/1027] lr: 8.592e-04, eta: 2:01:06, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.5890, loss: 2.5890 |
| 2025-06-02 08:51:00,402 - pyskl - INFO - Epoch [133][300/1027] lr: 8.500e-04, eta: 2:00:26, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 2.6192, loss: 2.6192 |
| 2025-06-02 08:51:38,724 - pyskl - INFO - Epoch [133][400/1027] lr: 8.407e-04, eta: 1:59:46, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.5705, loss: 2.5705 |
| 2025-06-02 08:52:16,822 - pyskl - INFO - Epoch [133][500/1027] lr: 8.316e-04, eta: 1:59:06, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 2.5407, loss: 2.5407 |
| 2025-06-02 08:52:55,034 - pyskl - INFO - Epoch [133][600/1027] lr: 8.225e-04, eta: 1:58:26, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.5279, loss: 2.5279 |
| 2025-06-02 08:53:33,147 - pyskl - INFO - Epoch [133][700/1027] lr: 8.134e-04, eta: 1:57:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.6580, loss: 2.6580 |
| 2025-06-02 08:54:11,272 - pyskl - INFO - Epoch [133][800/1027] lr: 8.044e-04, eta: 1:57:06, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 2.5889, loss: 2.5889 |
| 2025-06-02 08:54:49,318 - pyskl - INFO - Epoch [133][900/1027] lr: 7.954e-04, eta: 1:56:26, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 2.7000, loss: 2.7000 |
| 2025-06-02 08:55:27,276 - pyskl - INFO - Epoch [133][1000/1027] lr: 7.865e-04, eta: 1:55:47, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.6847, loss: 2.6847 |
| 2025-06-02 08:55:38,314 - pyskl - INFO - Saving checkpoint at 133 epochs |
| 2025-06-02 08:56:15,232 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 08:56:15,302 - pyskl - INFO - |
| top1_acc 0.7186 |
| top5_acc 0.9236 |
| 2025-06-02 08:56:15,302 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 08:56:15,309 - pyskl - INFO - |
| mean_acc 0.7167 |
| 2025-06-02 08:56:15,311 - pyskl - INFO - Epoch(val) [133][413] top1_acc: 0.7186, top5_acc: 0.9236, mean_class_accuracy: 0.7167 |
| 2025-06-02 08:57:18,395 - pyskl - INFO - Epoch [134][100/1027] lr: 7.752e-04, eta: 1:54:58, time: 0.631, data_time: 0.248, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.5528, loss: 2.5528 |
| 2025-06-02 08:57:56,776 - pyskl - INFO - Epoch [134][200/1027] lr: 7.664e-04, eta: 1:54:18, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.7165, loss: 2.7165 |
| 2025-06-02 08:58:35,407 - pyskl - INFO - Epoch [134][300/1027] lr: 7.576e-04, eta: 1:53:38, time: 0.386, data_time: 0.001, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.5758, loss: 2.5758 |
| 2025-06-02 08:59:13,677 - pyskl - INFO - Epoch [134][400/1027] lr: 7.489e-04, eta: 1:52:58, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.5174, loss: 2.5174 |
| 2025-06-02 08:59:51,805 - pyskl - INFO - Epoch [134][500/1027] lr: 7.402e-04, eta: 1:52:18, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 2.6276, loss: 2.6276 |
| 2025-06-02 09:00:29,941 - pyskl - INFO - Epoch [134][600/1027] lr: 7.316e-04, eta: 1:51:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.6774, loss: 2.6774 |
| 2025-06-02 09:01:07,932 - pyskl - INFO - Epoch [134][700/1027] lr: 7.231e-04, eta: 1:50:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.7043, loss: 2.7043 |
| 2025-06-02 09:01:45,759 - pyskl - INFO - Epoch [134][800/1027] lr: 7.145e-04, eta: 1:50:18, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.6429, loss: 2.6429 |
| 2025-06-02 09:02:23,610 - pyskl - INFO - Epoch [134][900/1027] lr: 7.061e-04, eta: 1:49:38, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.6595, loss: 2.6595 |
| 2025-06-02 09:03:01,493 - pyskl - INFO - Epoch [134][1000/1027] lr: 6.976e-04, eta: 1:48:58, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.5962, loss: 2.5962 |
| 2025-06-02 09:03:12,515 - pyskl - INFO - Saving checkpoint at 134 epochs |
| 2025-06-02 09:03:49,565 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 09:03:49,637 - pyskl - INFO - |
| top1_acc 0.7071 |
| top5_acc 0.9154 |
| 2025-06-02 09:03:49,637 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 09:03:49,645 - pyskl - INFO - |
| mean_acc 0.7057 |
| 2025-06-02 09:03:49,646 - pyskl - INFO - Epoch(val) [134][413] top1_acc: 0.7071, top5_acc: 0.9154, mean_class_accuracy: 0.7057 |
| 2025-06-02 09:04:52,993 - pyskl - INFO - Epoch [135][100/1027] lr: 6.870e-04, eta: 1:48:09, time: 0.633, data_time: 0.254, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.4856, loss: 2.4856 |
| 2025-06-02 09:05:31,520 - pyskl - INFO - Epoch [135][200/1027] lr: 6.787e-04, eta: 1:47:29, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.5056, loss: 2.5056 |
| 2025-06-02 09:06:10,093 - pyskl - INFO - Epoch [135][300/1027] lr: 6.704e-04, eta: 1:46:50, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5635, loss: 2.5635 |
| 2025-06-02 09:06:48,497 - pyskl - INFO - Epoch [135][400/1027] lr: 6.622e-04, eta: 1:46:10, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.5981, loss: 2.5981 |
| 2025-06-02 09:07:26,779 - pyskl - INFO - Epoch [135][500/1027] lr: 6.541e-04, eta: 1:45:30, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.5120, loss: 2.5120 |
| 2025-06-02 09:08:05,116 - pyskl - INFO - Epoch [135][600/1027] lr: 6.460e-04, eta: 1:44:50, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.6253, loss: 2.6253 |
| 2025-06-02 09:08:43,275 - pyskl - INFO - Epoch [135][700/1027] lr: 6.379e-04, eta: 1:44:10, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.4981, loss: 2.4981 |
| 2025-06-02 09:09:21,507 - pyskl - INFO - Epoch [135][800/1027] lr: 6.299e-04, eta: 1:43:30, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.6423, loss: 2.6423 |
| 2025-06-02 09:09:59,677 - pyskl - INFO - Epoch [135][900/1027] lr: 6.219e-04, eta: 1:42:50, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.6619, loss: 2.6619 |
| 2025-06-02 09:10:37,852 - pyskl - INFO - Epoch [135][1000/1027] lr: 6.140e-04, eta: 1:42:10, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.5464, loss: 2.5464 |
| 2025-06-02 09:10:48,918 - pyskl - INFO - Saving checkpoint at 135 epochs |
| 2025-06-02 09:31:59,454 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 09:31:59,539 - pyskl - INFO - |
| top1_acc 0.7218 |
| top5_acc 0.9186 |
| 2025-06-02 09:31:59,539 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 09:31:59,547 - pyskl - INFO - |
| mean_acc 0.7201 |
| 2025-06-02 09:31:59,548 - pyskl - INFO - Epoch(val) [135][413] top1_acc: 0.7218, top5_acc: 0.9186, mean_class_accuracy: 0.7201 |
| 2025-06-02 09:33:02,609 - pyskl - INFO - Epoch [136][100/1027] lr: 6.040e-04, eta: 1:41:21, time: 0.631, data_time: 0.252, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 2.4629, loss: 2.4629 |
| 2025-06-02 09:33:40,834 - pyskl - INFO - Epoch [136][200/1027] lr: 5.962e-04, eta: 1:40:41, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4521, loss: 2.4521 |
| 2025-06-02 09:34:18,852 - pyskl - INFO - Epoch [136][300/1027] lr: 5.885e-04, eta: 1:40:01, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.5199, loss: 2.5199 |
| 2025-06-02 09:34:56,750 - pyskl - INFO - Epoch [136][400/1027] lr: 5.808e-04, eta: 1:39:21, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4885, loss: 2.4885 |
| 2025-06-02 09:35:35,407 - pyskl - INFO - Epoch [136][500/1027] lr: 5.731e-04, eta: 1:38:42, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.4672, loss: 2.4672 |
| 2025-06-02 09:36:13,654 - pyskl - INFO - Epoch [136][600/1027] lr: 5.655e-04, eta: 1:38:02, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4623, loss: 2.4623 |
| 2025-06-02 09:36:52,057 - pyskl - INFO - Epoch [136][700/1027] lr: 5.579e-04, eta: 1:37:22, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.4949, loss: 2.4949 |
| 2025-06-02 09:37:30,428 - pyskl - INFO - Epoch [136][800/1027] lr: 5.504e-04, eta: 1:36:42, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 2.4307, loss: 2.4307 |
| 2025-06-02 09:38:08,807 - pyskl - INFO - Epoch [136][900/1027] lr: 5.430e-04, eta: 1:36:02, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5452, loss: 2.5452 |
| 2025-06-02 09:38:47,258 - pyskl - INFO - Epoch [136][1000/1027] lr: 5.356e-04, eta: 1:35:22, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.4751, loss: 2.4751 |
| 2025-06-02 09:38:58,575 - pyskl - INFO - Saving checkpoint at 136 epochs |
| 2025-06-02 09:39:36,906 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 09:39:36,978 - pyskl - INFO - |
| top1_acc 0.7162 |
| top5_acc 0.9192 |
| 2025-06-02 09:39:36,978 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 09:39:36,985 - pyskl - INFO - |
| mean_acc 0.7142 |
| 2025-06-02 09:39:36,987 - pyskl - INFO - Epoch(val) [136][413] top1_acc: 0.7162, top5_acc: 0.9192, mean_class_accuracy: 0.7142 |
| 2025-06-02 09:40:40,837 - pyskl - INFO - Epoch [137][100/1027] lr: 5.262e-04, eta: 1:34:33, time: 0.638, data_time: 0.258, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4693, loss: 2.4693 |
| 2025-06-02 09:41:18,850 - pyskl - INFO - Epoch [137][200/1027] lr: 5.189e-04, eta: 1:33:53, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.3916, loss: 2.3916 |
| 2025-06-02 09:41:56,903 - pyskl - INFO - Epoch [137][300/1027] lr: 5.117e-04, eta: 1:33:13, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5742, loss: 2.5742 |
| 2025-06-02 09:42:35,071 - pyskl - INFO - Epoch [137][400/1027] lr: 5.045e-04, eta: 1:32:33, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.4787, loss: 2.4787 |
| 2025-06-02 09:43:13,943 - pyskl - INFO - Epoch [137][500/1027] lr: 4.974e-04, eta: 1:31:54, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.5138, loss: 2.5138 |
| 2025-06-02 09:43:51,592 - pyskl - INFO - Epoch [137][600/1027] lr: 4.903e-04, eta: 1:31:14, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5101, loss: 2.5101 |
| 2025-06-02 09:44:29,065 - pyskl - INFO - Epoch [137][700/1027] lr: 4.832e-04, eta: 1:30:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5686, loss: 2.5686 |
| 2025-06-02 09:45:06,517 - pyskl - INFO - Epoch [137][800/1027] lr: 4.762e-04, eta: 1:29:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.5013, loss: 2.5013 |
| 2025-06-02 09:45:43,997 - pyskl - INFO - Epoch [137][900/1027] lr: 4.693e-04, eta: 1:29:14, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.5645, loss: 2.5645 |
| 2025-06-02 09:46:21,795 - pyskl - INFO - Epoch [137][1000/1027] lr: 4.624e-04, eta: 1:28:34, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.5612, loss: 2.5612 |
| 2025-06-02 09:46:32,829 - pyskl - INFO - Saving checkpoint at 137 epochs |
| 2025-06-02 09:47:11,113 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 09:47:11,186 - pyskl - INFO - |
| top1_acc 0.7175 |
| top5_acc 0.9191 |
| 2025-06-02 09:47:11,186 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 09:47:11,195 - pyskl - INFO - |
| mean_acc 0.7155 |
| 2025-06-02 09:47:11,197 - pyskl - INFO - Epoch(val) [137][413] top1_acc: 0.7175, top5_acc: 0.9191, mean_class_accuracy: 0.7155 |
| 2025-06-02 09:48:15,530 - pyskl - INFO - Epoch [138][100/1027] lr: 4.537e-04, eta: 1:27:45, time: 0.643, data_time: 0.263, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4611, loss: 2.4611 |
| 2025-06-02 09:48:54,180 - pyskl - INFO - Epoch [138][200/1027] lr: 4.469e-04, eta: 1:27:05, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 2.3794, loss: 2.3794 |
| 2025-06-02 09:49:32,714 - pyskl - INFO - Epoch [138][300/1027] lr: 4.402e-04, eta: 1:26:25, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3741, loss: 2.3741 |
| 2025-06-02 09:50:11,210 - pyskl - INFO - Epoch [138][400/1027] lr: 4.335e-04, eta: 1:25:45, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5958, loss: 2.5958 |
| 2025-06-02 09:50:49,622 - pyskl - INFO - Epoch [138][500/1027] lr: 4.269e-04, eta: 1:25:05, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 2.4161, loss: 2.4161 |
| 2025-06-02 09:51:27,615 - pyskl - INFO - Epoch [138][600/1027] lr: 4.203e-04, eta: 1:24:26, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.5508, loss: 2.5508 |
| 2025-06-02 09:52:05,497 - pyskl - INFO - Epoch [138][700/1027] lr: 4.138e-04, eta: 1:23:46, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.5002, loss: 2.5002 |
| 2025-06-02 09:52:43,405 - pyskl - INFO - Epoch [138][800/1027] lr: 4.073e-04, eta: 1:23:06, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.4938, loss: 2.4938 |
| 2025-06-02 09:53:21,285 - pyskl - INFO - Epoch [138][900/1027] lr: 4.009e-04, eta: 1:22:26, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 2.4789, loss: 2.4789 |
| 2025-06-02 09:53:59,250 - pyskl - INFO - Epoch [138][1000/1027] lr: 3.945e-04, eta: 1:21:46, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.4926, loss: 2.4926 |
| 2025-06-02 09:54:10,266 - pyskl - INFO - Saving checkpoint at 138 epochs |
| 2025-06-02 09:54:48,225 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 09:54:48,296 - pyskl - INFO - |
| top1_acc 0.7168 |
| top5_acc 0.9201 |
| 2025-06-02 09:54:48,296 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 09:54:48,304 - pyskl - INFO - |
| mean_acc 0.7135 |
| 2025-06-02 09:54:48,305 - pyskl - INFO - Epoch(val) [138][413] top1_acc: 0.7168, top5_acc: 0.9201, mean_class_accuracy: 0.7135 |
| 2025-06-02 09:55:52,768 - pyskl - INFO - Epoch [139][100/1027] lr: 3.865e-04, eta: 1:20:57, time: 0.645, data_time: 0.262, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.5420, loss: 2.5420 |
| 2025-06-02 09:56:31,141 - pyskl - INFO - Epoch [139][200/1027] lr: 3.802e-04, eta: 1:20:17, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.5333, loss: 2.5333 |
| 2025-06-02 09:57:09,256 - pyskl - INFO - Epoch [139][300/1027] lr: 3.740e-04, eta: 1:19:37, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4884, loss: 2.4884 |
| 2025-06-02 09:57:47,543 - pyskl - INFO - Epoch [139][400/1027] lr: 3.678e-04, eta: 1:18:57, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.5227, loss: 2.5227 |
| 2025-06-02 09:58:25,956 - pyskl - INFO - Epoch [139][500/1027] lr: 3.617e-04, eta: 1:18:17, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.3997, loss: 2.3997 |
| 2025-06-02 09:59:03,967 - pyskl - INFO - Epoch [139][600/1027] lr: 3.556e-04, eta: 1:17:37, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.4839, loss: 2.4839 |
| 2025-06-02 09:59:41,889 - pyskl - INFO - Epoch [139][700/1027] lr: 3.496e-04, eta: 1:16:58, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.5018, loss: 2.5018 |
| 2025-06-02 10:00:19,865 - pyskl - INFO - Epoch [139][800/1027] lr: 3.437e-04, eta: 1:16:18, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4346, loss: 2.4346 |
| 2025-06-02 10:00:57,832 - pyskl - INFO - Epoch [139][900/1027] lr: 3.378e-04, eta: 1:15:38, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.5604, loss: 2.5604 |
| 2025-06-02 10:01:36,090 - pyskl - INFO - Epoch [139][1000/1027] lr: 3.319e-04, eta: 1:14:58, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.5085, loss: 2.5085 |
| 2025-06-02 10:01:47,172 - pyskl - INFO - Saving checkpoint at 139 epochs |
| 2025-06-02 10:02:25,580 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:02:25,651 - pyskl - INFO - |
| top1_acc 0.7190 |
| top5_acc 0.9170 |
| 2025-06-02 10:02:25,652 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:02:25,659 - pyskl - INFO - |
| mean_acc 0.7214 |
| 2025-06-02 10:02:25,661 - pyskl - INFO - Epoch(val) [139][413] top1_acc: 0.7190, top5_acc: 0.9170, mean_class_accuracy: 0.7214 |
| 2025-06-02 10:03:31,610 - pyskl - INFO - Epoch [140][100/1027] lr: 3.245e-04, eta: 1:14:09, time: 0.659, data_time: 0.273, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.4822, loss: 2.4822 |
| 2025-06-02 10:04:10,068 - pyskl - INFO - Epoch [140][200/1027] lr: 3.188e-04, eta: 1:13:29, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.5162, loss: 2.5162 |
| 2025-06-02 10:04:48,267 - pyskl - INFO - Epoch [140][300/1027] lr: 3.131e-04, eta: 1:12:49, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5254, loss: 2.5254 |
| 2025-06-02 10:05:26,441 - pyskl - INFO - Epoch [140][400/1027] lr: 3.074e-04, eta: 1:12:09, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.6183, loss: 2.6183 |
| 2025-06-02 10:06:04,804 - pyskl - INFO - Epoch [140][500/1027] lr: 3.018e-04, eta: 1:11:29, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4487, loss: 2.4487 |
| 2025-06-02 10:06:42,873 - pyskl - INFO - Epoch [140][600/1027] lr: 2.963e-04, eta: 1:10:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5127, loss: 2.5127 |
| 2025-06-02 10:07:20,807 - pyskl - INFO - Epoch [140][700/1027] lr: 2.908e-04, eta: 1:10:10, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.5354, loss: 2.5354 |
| 2025-06-02 10:07:58,744 - pyskl - INFO - Epoch [140][800/1027] lr: 2.854e-04, eta: 1:09:30, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 2.5508, loss: 2.5508 |
| 2025-06-02 10:08:36,742 - pyskl - INFO - Epoch [140][900/1027] lr: 2.800e-04, eta: 1:08:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5191, loss: 2.5191 |
| 2025-06-02 10:09:14,691 - pyskl - INFO - Epoch [140][1000/1027] lr: 2.746e-04, eta: 1:08:10, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.5758, loss: 2.5758 |
| 2025-06-02 10:09:25,683 - pyskl - INFO - Saving checkpoint at 140 epochs |
| 2025-06-02 10:29:01,046 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:29:01,113 - pyskl - INFO - |
| top1_acc 0.7206 |
| top5_acc 0.9195 |
| 2025-06-02 10:29:01,113 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:29:01,120 - pyskl - INFO - |
| mean_acc 0.7186 |
| 2025-06-02 10:29:01,121 - pyskl - INFO - Epoch(val) [140][413] top1_acc: 0.7206, top5_acc: 0.9195, mean_class_accuracy: 0.7186 |
| 2025-06-02 10:30:03,410 - pyskl - INFO - Epoch [141][100/1027] lr: 2.679e-04, eta: 1:07:20, time: 0.623, data_time: 0.245, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4703, loss: 2.4703 |
| 2025-06-02 10:30:41,398 - pyskl - INFO - Epoch [141][200/1027] lr: 2.627e-04, eta: 1:06:41, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.4610, loss: 2.4610 |
| 2025-06-02 10:31:19,012 - pyskl - INFO - Epoch [141][300/1027] lr: 2.575e-04, eta: 1:06:01, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.3557, loss: 2.3557 |
| 2025-06-02 10:31:56,731 - pyskl - INFO - Epoch [141][400/1027] lr: 2.524e-04, eta: 1:05:21, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4961, loss: 2.4961 |
| 2025-06-02 10:32:34,843 - pyskl - INFO - Epoch [141][500/1027] lr: 2.473e-04, eta: 1:04:41, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4752, loss: 2.4752 |
| 2025-06-02 10:33:12,776 - pyskl - INFO - Epoch [141][600/1027] lr: 2.423e-04, eta: 1:04:01, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4387, loss: 2.4387 |
| 2025-06-02 10:33:50,555 - pyskl - INFO - Epoch [141][700/1027] lr: 2.374e-04, eta: 1:03:21, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5922, loss: 2.5922 |
| 2025-06-02 10:34:28,406 - pyskl - INFO - Epoch [141][800/1027] lr: 2.324e-04, eta: 1:02:41, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4995, loss: 2.4995 |
| 2025-06-02 10:35:06,589 - pyskl - INFO - Epoch [141][900/1027] lr: 2.276e-04, eta: 1:02:02, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4304, loss: 2.4304 |
| 2025-06-02 10:35:44,478 - pyskl - INFO - Epoch [141][1000/1027] lr: 2.227e-04, eta: 1:01:22, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.6078, loss: 2.6078 |
| 2025-06-02 10:35:55,466 - pyskl - INFO - Saving checkpoint at 141 epochs |
| 2025-06-02 10:36:32,554 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:36:32,625 - pyskl - INFO - |
| top1_acc 0.7156 |
| top5_acc 0.9189 |
| 2025-06-02 10:36:32,625 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:36:32,632 - pyskl - INFO - |
| mean_acc 0.7141 |
| 2025-06-02 10:36:32,633 - pyskl - INFO - Epoch(val) [141][413] top1_acc: 0.7156, top5_acc: 0.9189, mean_class_accuracy: 0.7141 |
| 2025-06-02 10:37:36,500 - pyskl - INFO - Epoch [142][100/1027] lr: 2.167e-04, eta: 1:00:32, time: 0.639, data_time: 0.256, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.5490, loss: 2.5490 |
| 2025-06-02 10:38:14,662 - pyskl - INFO - Epoch [142][200/1027] lr: 2.120e-04, eta: 0:59:52, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.5507, loss: 2.5507 |
| 2025-06-02 10:38:52,756 - pyskl - INFO - Epoch [142][300/1027] lr: 2.074e-04, eta: 0:59:13, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.4690, loss: 2.4690 |
| 2025-06-02 10:39:30,752 - pyskl - INFO - Epoch [142][400/1027] lr: 2.028e-04, eta: 0:58:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.5346, loss: 2.5346 |
| 2025-06-02 10:40:08,976 - pyskl - INFO - Epoch [142][500/1027] lr: 1.982e-04, eta: 0:57:53, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4491, loss: 2.4491 |
| 2025-06-02 10:40:46,938 - pyskl - INFO - Epoch [142][600/1027] lr: 1.937e-04, eta: 0:57:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.5225, loss: 2.5225 |
| 2025-06-02 10:41:24,805 - pyskl - INFO - Epoch [142][700/1027] lr: 1.893e-04, eta: 0:56:33, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.4731, loss: 2.4731 |
| 2025-06-02 10:42:02,763 - pyskl - INFO - Epoch [142][800/1027] lr: 1.849e-04, eta: 0:55:53, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.4407, loss: 2.4407 |
| 2025-06-02 10:42:40,842 - pyskl - INFO - Epoch [142][900/1027] lr: 1.805e-04, eta: 0:55:14, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.3567, loss: 2.3567 |
| 2025-06-02 10:43:18,792 - pyskl - INFO - Epoch [142][1000/1027] lr: 1.762e-04, eta: 0:54:34, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5482, loss: 2.5482 |
| 2025-06-02 10:43:29,790 - pyskl - INFO - Saving checkpoint at 142 epochs |
| 2025-06-02 10:44:07,096 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:44:07,167 - pyskl - INFO - |
| top1_acc 0.7251 |
| top5_acc 0.9195 |
| 2025-06-02 10:44:07,168 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:44:07,175 - pyskl - INFO - |
| mean_acc 0.7230 |
| 2025-06-02 10:44:07,232 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_132.pth was removed |
| 2025-06-02 10:44:08,792 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. |
| 2025-06-02 10:44:08,794 - pyskl - INFO - Best top1_acc is 0.7251 at 142 epoch. |
| 2025-06-02 10:44:08,797 - pyskl - INFO - Epoch(val) [142][413] top1_acc: 0.7251, top5_acc: 0.9195, mean_class_accuracy: 0.7230 |
| 2025-06-02 10:45:12,663 - pyskl - INFO - Epoch [143][100/1027] lr: 1.709e-04, eta: 0:53:44, time: 0.639, data_time: 0.254, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3965, loss: 2.3965 |
| 2025-06-02 10:45:50,891 - pyskl - INFO - Epoch [143][200/1027] lr: 1.667e-04, eta: 0:53:04, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4515, loss: 2.4515 |
| 2025-06-02 10:46:28,947 - pyskl - INFO - Epoch [143][300/1027] lr: 1.626e-04, eta: 0:52:24, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.3820, loss: 2.3820 |
| 2025-06-02 10:47:07,080 - pyskl - INFO - Epoch [143][400/1027] lr: 1.585e-04, eta: 0:51:45, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.5128, loss: 2.5128 |
| 2025-06-02 10:47:45,432 - pyskl - INFO - Epoch [143][500/1027] lr: 1.545e-04, eta: 0:51:05, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.5190, loss: 2.5190 |
| 2025-06-02 10:48:23,367 - pyskl - INFO - Epoch [143][600/1027] lr: 1.505e-04, eta: 0:50:25, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4403, loss: 2.4403 |
| 2025-06-02 10:49:01,239 - pyskl - INFO - Epoch [143][700/1027] lr: 1.466e-04, eta: 0:49:45, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4424, loss: 2.4424 |
| 2025-06-02 10:49:39,190 - pyskl - INFO - Epoch [143][800/1027] lr: 1.427e-04, eta: 0:49:05, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.4852, loss: 2.4852 |
| 2025-06-02 10:50:16,995 - pyskl - INFO - Epoch [143][900/1027] lr: 1.389e-04, eta: 0:48:26, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 2.5439, loss: 2.5439 |
| 2025-06-02 10:50:54,922 - pyskl - INFO - Epoch [143][1000/1027] lr: 1.351e-04, eta: 0:47:46, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.3798, loss: 2.3798 |
| 2025-06-02 10:51:05,981 - pyskl - INFO - Saving checkpoint at 143 epochs |
| 2025-06-02 10:51:43,376 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:51:43,447 - pyskl - INFO - |
| top1_acc 0.7206 |
| top5_acc 0.9177 |
| 2025-06-02 10:51:43,447 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:51:43,455 - pyskl - INFO - |
| mean_acc 0.7187 |
| 2025-06-02 10:51:43,456 - pyskl - INFO - Epoch(val) [143][413] top1_acc: 0.7206, top5_acc: 0.9177, mean_class_accuracy: 0.7187 |
| 2025-06-02 10:52:47,750 - pyskl - INFO - Epoch [144][100/1027] lr: 1.304e-04, eta: 0:46:56, time: 0.643, data_time: 0.257, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.4709, loss: 2.4709 |
| 2025-06-02 10:53:26,262 - pyskl - INFO - Epoch [144][200/1027] lr: 1.268e-04, eta: 0:46:16, time: 0.385, data_time: 0.001, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5516, loss: 2.5516 |
| 2025-06-02 10:54:04,163 - pyskl - INFO - Epoch [144][300/1027] lr: 1.232e-04, eta: 0:45:36, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.4605, loss: 2.4605 |
| 2025-06-02 10:54:42,280 - pyskl - INFO - Epoch [144][400/1027] lr: 1.196e-04, eta: 0:44:57, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.4731, loss: 2.4731 |
| 2025-06-02 10:55:20,499 - pyskl - INFO - Epoch [144][500/1027] lr: 1.162e-04, eta: 0:44:17, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4199, loss: 2.4199 |
| 2025-06-02 10:55:58,532 - pyskl - INFO - Epoch [144][600/1027] lr: 1.127e-04, eta: 0:43:37, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.3951, loss: 2.3951 |
| 2025-06-02 10:56:36,430 - pyskl - INFO - Epoch [144][700/1027] lr: 1.093e-04, eta: 0:42:57, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4082, loss: 2.4082 |
| 2025-06-02 10:57:14,368 - pyskl - INFO - Epoch [144][800/1027] lr: 1.060e-04, eta: 0:42:17, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.5711, loss: 2.5711 |
| 2025-06-02 10:57:52,557 - pyskl - INFO - Epoch [144][900/1027] lr: 1.027e-04, eta: 0:41:38, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.3861, loss: 2.3861 |
| 2025-06-02 10:58:30,517 - pyskl - INFO - Epoch [144][1000/1027] lr: 9.946e-05, eta: 0:40:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.3730, loss: 2.3730 |
| 2025-06-02 10:58:41,541 - pyskl - INFO - Saving checkpoint at 144 epochs |
| 2025-06-02 10:59:19,087 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:59:19,158 - pyskl - INFO - |
| top1_acc 0.7222 |
| top5_acc 0.9185 |
| 2025-06-02 10:59:19,159 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:59:19,166 - pyskl - INFO - |
| mean_acc 0.7184 |
| 2025-06-02 10:59:19,168 - pyskl - INFO - Epoch(val) [144][413] top1_acc: 0.7222, top5_acc: 0.9185, mean_class_accuracy: 0.7184 |
| 2025-06-02 11:00:22,913 - pyskl - INFO - Epoch [145][100/1027] lr: 9.543e-05, eta: 0:40:08, time: 0.637, data_time: 0.255, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4790, loss: 2.4790 |
| 2025-06-02 11:01:01,258 - pyskl - INFO - Epoch [145][200/1027] lr: 9.231e-05, eta: 0:39:28, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3848, loss: 2.3848 |
| 2025-06-02 11:01:39,348 - pyskl - INFO - Epoch [145][300/1027] lr: 8.924e-05, eta: 0:38:48, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 2.4139, loss: 2.4139 |
| 2025-06-02 11:02:17,634 - pyskl - INFO - Epoch [145][400/1027] lr: 8.623e-05, eta: 0:38:08, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3651, loss: 2.3651 |
| 2025-06-02 11:02:56,047 - pyskl - INFO - Epoch [145][500/1027] lr: 8.327e-05, eta: 0:37:29, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 2.5928, loss: 2.5928 |
| 2025-06-02 11:03:33,623 - pyskl - INFO - Epoch [145][600/1027] lr: 8.035e-05, eta: 0:36:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.3582, loss: 2.3582 |
| 2025-06-02 11:04:11,082 - pyskl - INFO - Epoch [145][700/1027] lr: 7.749e-05, eta: 0:36:09, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.3973, loss: 2.3973 |
| 2025-06-02 11:04:48,851 - pyskl - INFO - Epoch [145][800/1027] lr: 7.469e-05, eta: 0:35:29, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.5121, loss: 2.5121 |
| 2025-06-02 11:05:26,781 - pyskl - INFO - Epoch [145][900/1027] lr: 7.193e-05, eta: 0:34:50, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.3701, loss: 2.3701 |
| 2025-06-02 11:06:04,715 - pyskl - INFO - Epoch [145][1000/1027] lr: 6.922e-05, eta: 0:34:10, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4972, loss: 2.4972 |
| 2025-06-02 11:06:15,878 - pyskl - INFO - Saving checkpoint at 145 epochs |
| 2025-06-02 11:25:51,148 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 11:25:51,216 - pyskl - INFO - |
| top1_acc 0.7227 |
| top5_acc 0.9176 |
| 2025-06-02 11:25:51,217 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 11:25:51,223 - pyskl - INFO - |
| mean_acc 0.7205 |
| 2025-06-02 11:25:51,225 - pyskl - INFO - Epoch(val) [145][413] top1_acc: 0.7227, top5_acc: 0.9176, mean_class_accuracy: 0.7205 |
| 2025-06-02 11:26:53,331 - pyskl - INFO - Epoch [146][100/1027] lr: 6.586e-05, eta: 0:33:20, time: 0.621, data_time: 0.245, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4625, loss: 2.4625 |
| 2025-06-02 11:27:31,185 - pyskl - INFO - Epoch [146][200/1027] lr: 6.328e-05, eta: 0:32:40, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4336, loss: 2.4336 |
| 2025-06-02 11:28:09,205 - pyskl - INFO - Epoch [146][300/1027] lr: 6.074e-05, eta: 0:32:00, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4708, loss: 2.4708 |
| 2025-06-02 11:28:47,121 - pyskl - INFO - Epoch [146][400/1027] lr: 5.826e-05, eta: 0:31:20, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4970, loss: 2.4970 |
| 2025-06-02 11:29:25,242 - pyskl - INFO - Epoch [146][500/1027] lr: 5.582e-05, eta: 0:30:41, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 2.4120, loss: 2.4120 |
| 2025-06-02 11:30:03,069 - pyskl - INFO - Epoch [146][600/1027] lr: 5.344e-05, eta: 0:30:01, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4102, loss: 2.4102 |
| 2025-06-02 11:30:40,990 - pyskl - INFO - Epoch [146][700/1027] lr: 5.111e-05, eta: 0:29:21, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.4376, loss: 2.4376 |
| 2025-06-02 11:31:18,994 - pyskl - INFO - Epoch [146][800/1027] lr: 4.884e-05, eta: 0:28:41, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.4463, loss: 2.4463 |
| 2025-06-02 11:31:57,102 - pyskl - INFO - Epoch [146][900/1027] lr: 4.661e-05, eta: 0:28:01, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.5045, loss: 2.5045 |
| 2025-06-02 11:32:34,933 - pyskl - INFO - Epoch [146][1000/1027] lr: 4.444e-05, eta: 0:27:22, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 2.4048, loss: 2.4048 |
| 2025-06-02 11:32:45,874 - pyskl - INFO - Saving checkpoint at 146 epochs |
| 2025-06-02 11:33:23,046 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 11:33:23,118 - pyskl - INFO - |
| top1_acc 0.7247 |
| top5_acc 0.9204 |
| 2025-06-02 11:33:23,118 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 11:33:23,125 - pyskl - INFO - |
| mean_acc 0.7225 |
| 2025-06-02 11:33:23,126 - pyskl - INFO - Epoch(val) [146][413] top1_acc: 0.7247, top5_acc: 0.9204, mean_class_accuracy: 0.7225 |
| 2025-06-02 11:34:26,358 - pyskl - INFO - Epoch [147][100/1027] lr: 4.175e-05, eta: 0:26:32, time: 0.632, data_time: 0.253, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 2.4359, loss: 2.4359 |
| 2025-06-02 11:35:04,578 - pyskl - INFO - Epoch [147][200/1027] lr: 3.970e-05, eta: 0:25:52, time: 0.382, data_time: 0.001, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4472, loss: 2.4472 |
| 2025-06-02 11:35:43,122 - pyskl - INFO - Epoch [147][300/1027] lr: 3.769e-05, eta: 0:25:12, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.2987, loss: 2.2987 |
| 2025-06-02 11:36:20,964 - pyskl - INFO - Epoch [147][400/1027] lr: 3.574e-05, eta: 0:24:32, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.4749, loss: 2.4749 |
| 2025-06-02 11:36:59,032 - pyskl - INFO - Epoch [147][500/1027] lr: 3.384e-05, eta: 0:23:53, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 2.4302, loss: 2.4302 |
| 2025-06-02 11:37:37,045 - pyskl - INFO - Epoch [147][600/1027] lr: 3.199e-05, eta: 0:23:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3518, loss: 2.3518 |
| 2025-06-02 11:38:15,026 - pyskl - INFO - Epoch [147][700/1027] lr: 3.020e-05, eta: 0:22:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4839, loss: 2.4839 |
| 2025-06-02 11:38:53,020 - pyskl - INFO - Epoch [147][800/1027] lr: 2.845e-05, eta: 0:21:53, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4728, loss: 2.4728 |
| 2025-06-02 11:39:30,905 - pyskl - INFO - Epoch [147][900/1027] lr: 2.676e-05, eta: 0:21:14, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4363, loss: 2.4363 |
| 2025-06-02 11:40:08,906 - pyskl - INFO - Epoch [147][1000/1027] lr: 2.512e-05, eta: 0:20:34, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4462, loss: 2.4462 |
| 2025-06-02 11:40:19,884 - pyskl - INFO - Saving checkpoint at 147 epochs |
| 2025-06-02 11:40:57,041 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 11:40:57,112 - pyskl - INFO - |
| top1_acc 0.7307 |
| top5_acc 0.9215 |
| 2025-06-02 11:40:57,112 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 11:40:57,119 - pyskl - INFO - |
| mean_acc 0.7290 |
| 2025-06-02 11:40:57,176 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/k_1/best_top1_acc_epoch_142.pth was removed |
| 2025-06-02 11:40:58,738 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_147.pth. |
| 2025-06-02 11:40:58,739 - pyskl - INFO - Best top1_acc is 0.7307 at 147 epoch. |
| 2025-06-02 11:40:58,742 - pyskl - INFO - Epoch(val) [147][413] top1_acc: 0.7307, top5_acc: 0.9215, mean_class_accuracy: 0.7290 |
| 2025-06-02 11:42:02,184 - pyskl - INFO - Epoch [148][100/1027] lr: 2.311e-05, eta: 0:19:44, time: 0.634, data_time: 0.250, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.5483, loss: 2.5483 |
| 2025-06-02 11:42:40,785 - pyskl - INFO - Epoch [148][200/1027] lr: 2.158e-05, eta: 0:19:04, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.3635, loss: 2.3635 |
| 2025-06-02 11:43:19,152 - pyskl - INFO - Epoch [148][300/1027] lr: 2.011e-05, eta: 0:18:24, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4429, loss: 2.4429 |
| 2025-06-02 11:43:57,354 - pyskl - INFO - Epoch [148][400/1027] lr: 1.869e-05, eta: 0:17:44, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4567, loss: 2.4567 |
| 2025-06-02 11:44:35,609 - pyskl - INFO - Epoch [148][500/1027] lr: 1.732e-05, eta: 0:17:05, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.4544, loss: 2.4544 |
| 2025-06-02 11:45:13,606 - pyskl - INFO - Epoch [148][600/1027] lr: 1.601e-05, eta: 0:16:25, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4515, loss: 2.4515 |
| 2025-06-02 11:45:51,590 - pyskl - INFO - Epoch [148][700/1027] lr: 1.475e-05, eta: 0:15:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3872, loss: 2.3872 |
| 2025-06-02 11:46:29,712 - pyskl - INFO - Epoch [148][800/1027] lr: 1.353e-05, eta: 0:15:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.5399, loss: 2.5399 |
| 2025-06-02 11:47:07,825 - pyskl - INFO - Epoch [148][900/1027] lr: 1.237e-05, eta: 0:14:26, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3293, loss: 2.3293 |
| 2025-06-02 11:47:45,784 - pyskl - INFO - Epoch [148][1000/1027] lr: 1.127e-05, eta: 0:13:46, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4183, loss: 2.4183 |
| 2025-06-02 11:47:56,882 - pyskl - INFO - Saving checkpoint at 148 epochs |
| 2025-06-02 11:48:34,116 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 11:48:34,188 - pyskl - INFO - |
| top1_acc 0.7277 |
| top5_acc 0.9194 |
| 2025-06-02 11:48:34,188 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 11:48:34,196 - pyskl - INFO - |
| mean_acc 0.7258 |
| 2025-06-02 11:48:34,198 - pyskl - INFO - Epoch(val) [148][413] top1_acc: 0.7277, top5_acc: 0.9194, mean_class_accuracy: 0.7258 |
| 2025-06-02 11:49:38,168 - pyskl - INFO - Epoch [149][100/1027] lr: 9.933e-06, eta: 0:12:56, time: 0.640, data_time: 0.256, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4281, loss: 2.4281 |
| 2025-06-02 11:50:16,776 - pyskl - INFO - Epoch [149][200/1027] lr: 8.943e-06, eta: 0:12:16, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4266, loss: 2.4266 |
| 2025-06-02 11:50:55,100 - pyskl - INFO - Epoch [149][300/1027] lr: 8.005e-06, eta: 0:11:36, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.4206, loss: 2.4206 |
| 2025-06-02 11:51:33,176 - pyskl - INFO - Epoch [149][400/1027] lr: 7.119e-06, eta: 0:10:56, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4930, loss: 2.4930 |
| 2025-06-02 11:52:11,518 - pyskl - INFO - Epoch [149][500/1027] lr: 6.285e-06, eta: 0:10:17, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3863, loss: 2.3863 |
| 2025-06-02 11:52:49,642 - pyskl - INFO - Epoch [149][600/1027] lr: 5.502e-06, eta: 0:09:37, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4298, loss: 2.4298 |
| 2025-06-02 11:53:27,739 - pyskl - INFO - Epoch [149][700/1027] lr: 4.772e-06, eta: 0:08:57, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.5839, loss: 2.5839 |
| 2025-06-02 11:54:06,005 - pyskl - INFO - Epoch [149][800/1027] lr: 4.094e-06, eta: 0:08:18, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4287, loss: 2.4287 |
| 2025-06-02 11:54:44,241 - pyskl - INFO - Epoch [149][900/1027] lr: 3.467e-06, eta: 0:07:38, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4292, loss: 2.4292 |
| 2025-06-02 11:55:22,434 - pyskl - INFO - Epoch [149][1000/1027] lr: 2.893e-06, eta: 0:06:58, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.5463, loss: 2.5463 |
| 2025-06-02 11:55:33,563 - pyskl - INFO - Saving checkpoint at 149 epochs |
| 2025-06-02 11:56:11,173 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 11:56:11,245 - pyskl - INFO - |
| top1_acc 0.7165 |
| top5_acc 0.9160 |
| 2025-06-02 11:56:11,246 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 11:56:11,254 - pyskl - INFO - |
| mean_acc 0.7153 |
| 2025-06-02 11:56:11,256 - pyskl - INFO - Epoch(val) [149][413] top1_acc: 0.7165, top5_acc: 0.9160, mean_class_accuracy: 0.7153 |
| 2025-06-02 11:57:14,936 - pyskl - INFO - Epoch [150][100/1027] lr: 2.238e-06, eta: 0:06:08, time: 0.637, data_time: 0.254, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4731, loss: 2.4731 |
| 2025-06-02 11:57:53,632 - pyskl - INFO - Epoch [150][200/1027] lr: 1.782e-06, eta: 0:05:28, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.3605, loss: 2.3605 |
| 2025-06-02 11:58:31,915 - pyskl - INFO - Epoch [150][300/1027] lr: 1.378e-06, eta: 0:04:48, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4356, loss: 2.4356 |
| 2025-06-02 11:59:10,285 - pyskl - INFO - Epoch [150][400/1027] lr: 1.025e-06, eta: 0:04:09, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5339, loss: 2.5339 |
| 2025-06-02 11:59:48,402 - pyskl - INFO - Epoch [150][500/1027] lr: 7.246e-07, eta: 0:03:29, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.2211, loss: 2.2211 |
| 2025-06-02 12:00:26,478 - pyskl - INFO - Epoch [150][600/1027] lr: 4.761e-07, eta: 0:02:49, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4720, loss: 2.4720 |
| 2025-06-02 12:01:04,462 - pyskl - INFO - Epoch [150][700/1027] lr: 2.796e-07, eta: 0:02:09, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.4131, loss: 2.4131 |
| 2025-06-02 12:01:42,511 - pyskl - INFO - Epoch [150][800/1027] lr: 1.351e-07, eta: 0:01:30, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4614, loss: 2.4614 |
| 2025-06-02 12:02:20,503 - pyskl - INFO - Epoch [150][900/1027] lr: 4.259e-08, eta: 0:00:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4420, loss: 2.4420 |
| 2025-06-02 12:02:58,405 - pyskl - INFO - Epoch [150][1000/1027] lr: 2.038e-09, eta: 0:00:10, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.3615, loss: 2.3615 |
| 2025-06-02 12:03:09,428 - pyskl - INFO - Saving checkpoint at 150 epochs |
| 2025-06-02 12:03:46,612 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 12:03:46,684 - pyskl - INFO - |
| top1_acc 0.7259 |
| top5_acc 0.9200 |
| 2025-06-02 12:03:46,684 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 12:03:46,692 - pyskl - INFO - |
| mean_acc 0.7238 |
| 2025-06-02 12:03:46,693 - pyskl - INFO - Epoch(val) [150][413] top1_acc: 0.7259, top5_acc: 0.9200, mean_class_accuracy: 0.7238 |
| 2025-06-02 12:03:56,077 - pyskl - INFO - 6599 videos remain after valid thresholding |
| 2025-06-02 12:07:21,407 - pyskl - INFO - Testing results of the last checkpoint |
| 2025-06-02 12:07:21,408 - pyskl - INFO - top1_acc: 0.7306 |
| 2025-06-02 12:07:21,408 - pyskl - INFO - top5_acc: 0.9215 |
| 2025-06-02 12:07:21,408 - pyskl - INFO - mean_class_accuracy: 0.7310 |
| 2025-06-02 12:07:21,408 - pyskl - INFO - load checkpoint from local path: ./work_dirs/uav_csv2/k_1/best_top1_acc_epoch_147.pth |
| 2025-06-02 12:10:46,426 - pyskl - INFO - Testing results of the best checkpoint |
| 2025-06-02 12:10:46,426 - pyskl - INFO - top1_acc: 0.7342 |
| 2025-06-02 12:10:46,426 - pyskl - INFO - top5_acc: 0.9239 |
| 2025-06-02 12:10:46,426 - pyskl - INFO - mean_class_accuracy: 0.7349 |
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