diff --git a/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/args.yaml b/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/args.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4804793528507fe9a8365bb60d55a00fc040d5a7 --- /dev/null +++ b/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/args.yaml @@ -0,0 +1,156 @@ +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptation_info: false +adaptive_node: false +alpha: 1.5 +amp: false +apex_amp: false +attn_method: SpatialTemporal +aug_splits: 0 +batch_size: 128 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +contrastive: true +conv_type: normal +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cross_attn: true +cut_mix: false +cutmix: 0.0 +cutmix_beta: 2.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +dataset: AVmnistdvs +decay_epochs: 30 +decay_rate: 0.1 +device: 0 +dist_bn: '' +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +embed_dims: 64 +encode: direct +epochs: 100 +eval: false +eval_checkpoint: '' +eval_metric: top1 +event_mix: false +event_size: 28 +gaussian_n: 3 +gp: null +hflip: 0.5 +img_size: 224 +initial_checkpoint: '' +interaction: Add +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: false +load_avmodel: false +local_rank: 0 +log_interval: 50 +loss_fn: ce +lr: 0.005 +lr_cycle_limit: 1 +lr_cycle_mul: 1.0 +lr_noise: null +lr_noise_pct: 0.67 +lr_noise_std: 1.0 +mean: null +mem_dist: false +min_lr: 1.0e-05 +mix_up: false +mixup: 0.0 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 0.0 +mixup_switch_prob: 0.5 +modality: audio-visual +model: AVspikformer +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_encode_type: linear +n_groups: 1 +n_preact: false +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +node_resume: '' +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 10 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: ./exp_results +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +rand_step: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 42 +sew_cnf: ADD +shallow_sps: true +sigmoid_thres: false +smoothing: 0.1 +snr: -100 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 16 +suffix: '' +sync_bn: false +tau: 2.0 +temperature: 0.07 +temporal_flatten: false +tensorboard_dir: ./exp_results +tet_loss: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.9 +tsne: false +tta: 0 +use_multi_epochs_loader: false +validation_batch_size_multiplier: 1 +vflip: 0.0 +visualize: false +warmup_epochs: 5 +warmup_lr: 1.0e-06 +weight_decay: 0.0001 +workers: 8 diff --git a/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-91.pth.tar b/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-91.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..348bf4e404dcb766bbca7ded4518452fe50ea3c6 --- /dev/null +++ b/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-91.pth.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b90bff8d2bfd8ced734b3c56d17123fa60e2856fe80b71fdca6de44901d15bce +size 3283385 diff --git a/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/events.out.tfevents.1738638725.452e941c3358.4064586.0 b/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/events.out.tfevents.1738638725.452e941c3358.4064586.0 new file mode 100644 index 0000000000000000000000000000000000000000..d5234e4b7d2a3c812cf7aa9e5d8c6e7c7a15672d --- /dev/null +++ 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b/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/last.pth.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:158960f5b1c3b3c4224a16a266876b41dd789c8ddfd3b11d83b185d61ccbcbe0 +size 3283385 diff --git a/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/log.txt b/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..75d1f7db30fba08a9422587d5c58b4dc11ca0036 --- /dev/null +++ b/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/log.txt @@ -0,0 +1,482 @@ +2025-02-04 03:12:05,095 - train: [ INFO] - Training with a single process on 1 GPUs. +2025-02-04 03:12:36,697 - root: [ INFO] - Data 2239: /home/hexiang/DVS/NTIDIGITS/train_cache_16/2239_2.hdf5 not in cache, generating it now +2025-02-04 03:12:39,683 - root: [ INFO] - Data 2260: /home/hexiang/DVS/NTIDIGITS/test_cache_16/2260_1.hdf5 not in cache, generating it now +2025-02-04 03:12:53,426 - train: [ INFO] - learning rate is 0.000625 +2025-02-04 03:12:55,360 - train: [ INFO] - AMP not enabled. Training in float32. +2025-02-04 03:12:55,361 - train: [ INFO] - Scheduled epochs: 110 +2025-02-04 03:12:59,810 - train: [ INFO] - Train: 0 [ 0/39 ( 0%)] Loss: 2.827757 (2.8278) Acc@1: 10.9375 (10.9375) Acc@5: 46.8750 (46.8750) Time: 4.439s, 28.83/s (4.439s, 28.83/s) LR: 1.000e-06 Data: 0.515 (0.515) +2025-02-04 03:13:10,639 - train: [ INFO] - Train: 0 [ 38/39 (100%)] Loss: 2.837906 (2.8328) Acc@1: 14.0625 (12.5000) Acc@5: 46.8750 (46.8750) Time: 0.268s, 476.94/s (0.391s, 327.35/s) LR: 1.000e-06 Data: 0.000 (0.014) +2025-02-04 03:13:11,555 - train: [ INFO] - Eval : 0 Time: 0.584 (0.584) Loss: 2.3024 (2.3024) Acc@1: 12.5000 (12.5000)Acc@5: 51.5625 (51.5625) +2025-02-04 03:13:14,746 - train: [ INFO] - Eval : 0 Time: 0.076 (0.094) Loss: 2.2899 (2.3032) Acc@1: 37.5000 (13.7000)Acc@5: 87.5000 (50.0000) +2025-02-04 03:13:15,263 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-0.pth.tar', 13.7) + +2025-02-04 03:13:16,179 - train: [ INFO] - Train: 1 [ 0/39 ( 0%)] Loss: 2.800327 (2.8003) Acc@1: 14.8438 (14.8438) Acc@5: 48.4375 (48.4375) Time: 0.910s, 140.63/s (0.910s, 140.63/s) LR: 1.258e-04 Data: 0.573 (0.573) +2025-02-04 03:13:27,036 - train: [ INFO] - Train: 1 [ 38/39 (100%)] Loss: 2.778703 (2.7895) Acc@1: 16.4062 (15.6250) Acc@5: 82.0312 (65.2344) Time: 0.278s, 460.69/s (0.301s, 424.77/s) LR: 1.258e-04 Data: 0.000 (0.015) +2025-02-04 03:13:27,862 - train: [ INFO] - Eval : 1 Time: 0.573 (0.573) Loss: 2.2406 (2.2406) Acc@1: 16.4062 (16.4062)Acc@5: 71.8750 (71.8750) +2025-02-04 03:13:31,105 - train: [ INFO] - Eval : 1 Time: 0.067 (0.095) Loss: 2.2146 (2.2404) Acc@1: 25.0000 (13.7600)Acc@5: 75.0000 (75.9200) +2025-02-04 03:13:31,694 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-1.pth.tar', 13.76) + +2025-02-04 03:13:32,477 - train: [ INFO] - Train: 2 [ 0/39 ( 0%)] Loss: 2.802678 (2.8027) Acc@1: 11.7188 (11.7188) Acc@5: 78.1250 (78.1250) Time: 0.764s, 167.60/s (0.764s, 167.60/s) LR: 2.506e-04 Data: 0.426 (0.426) +2025-02-04 03:13:43,195 - train: [ INFO] - Train: 2 [ 38/39 (100%)] Loss: 2.691856 (2.7473) Acc@1: 26.5625 (19.1406) Acc@5: 91.4062 (84.7656) Time: 0.278s, 460.97/s (0.294s, 435.32/s) LR: 2.506e-04 Data: 0.000 (0.011) +2025-02-04 03:13:44,007 - train: [ INFO] - Eval : 2 Time: 0.582 (0.582) Loss: 2.1057 (2.1057) Acc@1: 35.9375 (35.9375)Acc@5: 84.3750 (84.3750) +2025-02-04 03:13:47,224 - train: [ INFO] - Eval : 2 Time: 0.069 (0.095) Loss: 2.0983 (2.0992) Acc@1: 50.0000 (36.6400)Acc@5: 87.5000 (87.5800) +2025-02-04 03:13:47,609 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-2.pth.tar', 36.64) + +2025-02-04 03:13:48,383 - train: [ INFO] - Train: 3 [ 0/39 ( 0%)] Loss: 2.696382 (2.6964) Acc@1: 28.9062 (28.9062) Acc@5: 91.4062 (91.4062) Time: 0.764s, 167.46/s (0.764s, 167.46/s) LR: 3.754e-04 Data: 0.430 (0.430) +2025-02-04 03:13:59,279 - train: [ INFO] - Train: 3 [ 38/39 (100%)] Loss: 2.467333 (2.5819) Acc@1: 57.0312 (42.9688) Acc@5: 96.8750 (94.1406) Time: 0.272s, 471.11/s (0.299s, 428.76/s) LR: 3.754e-04 Data: 0.000 (0.011) +2025-02-04 03:14:00,168 - train: [ INFO] - Eval : 3 Time: 0.559 (0.559) Loss: 1.8568 (1.8568) Acc@1: 59.3750 (59.3750)Acc@5: 96.8750 (96.8750) +2025-02-04 03:14:03,417 - train: [ INFO] - Eval : 3 Time: 0.066 (0.095) Loss: 1.8794 (1.8813) Acc@1: 37.5000 (51.6000)Acc@5: 100.0000 (96.2000) +2025-02-04 03:14:03,785 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-3.pth.tar', 51.6) + +2025-02-04 03:14:04,546 - train: [ INFO] - Train: 4 [ 0/39 ( 0%)] Loss: 2.469968 (2.4700) Acc@1: 51.5625 (51.5625) Acc@5: 96.8750 (96.8750) Time: 0.751s, 170.40/s (0.751s, 170.40/s) LR: 5.002e-04 Data: 0.423 (0.423) +2025-02-04 03:14:15,291 - train: [ INFO] - Train: 4 [ 38/39 (100%)] Loss: 2.240273 (2.3551) Acc@1: 60.9375 (56.2500) Acc@5: 99.2188 (98.0469) Time: 0.274s, 467.88/s (0.294s, 434.88/s) LR: 5.002e-04 Data: 0.000 (0.011) +2025-02-04 03:14:16,133 - train: [ INFO] - Eval : 4 Time: 0.564 (0.564) Loss: 1.6510 (1.6510) Acc@1: 53.9062 (53.9062)Acc@5: 100.0000 (100.0000) +2025-02-04 03:14:19,301 - train: [ INFO] - Eval : 4 Time: 0.068 (0.093) Loss: 1.5586 (1.6571) Acc@1: 62.5000 (58.1400)Acc@5: 100.0000 (98.8200) +2025-02-04 03:14:19,666 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-4.pth.tar', 58.14) + +2025-02-04 03:14:20,474 - train: [ INFO] - Train: 5 [ 0/39 ( 0%)] Loss: 2.237730 (2.2377) Acc@1: 64.0625 (64.0625) Acc@5: 97.6562 (97.6562) Time: 0.792s, 161.53/s (0.792s, 161.53/s) LR: 6.212e-04 Data: 0.479 (0.479) +2025-02-04 03:14:31,155 - train: [ INFO] - Train: 5 [ 38/39 (100%)] Loss: 2.065418 (2.1516) Acc@1: 67.9688 (66.0156) Acc@5: 97.6562 (97.6562) Time: 0.273s, 469.20/s (0.294s, 435.73/s) LR: 6.212e-04 Data: 0.000 (0.013) +2025-02-04 03:14:31,979 - train: [ INFO] - Eval : 5 Time: 0.588 (0.588) Loss: 1.4063 (1.4063) Acc@1: 67.9688 (67.9688)Acc@5: 97.6562 (97.6562) +2025-02-04 03:14:35,171 - train: [ INFO] - Eval : 5 Time: 0.071 (0.095) Loss: 1.3647 (1.3946) Acc@1: 75.0000 (70.6400)Acc@5: 100.0000 (98.2400) +2025-02-04 03:14:35,841 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-5.pth.tar', 70.64) + +2025-02-04 03:14:36,718 - train: [ INFO] - Train: 6 [ 0/39 ( 0%)] Loss: 2.030192 (2.0302) Acc@1: 65.6250 (65.6250) Acc@5: 96.0938 (96.0938) Time: 0.769s, 166.56/s (0.769s, 166.56/s) LR: 6.196e-04 Data: 0.433 (0.433) +2025-02-04 03:14:47,426 - train: [ INFO] - Train: 6 [ 38/39 (100%)] Loss: 1.849026 (1.9396) Acc@1: 78.1250 (71.8750) Acc@5: 99.2188 (97.6562) Time: 0.268s, 477.63/s (0.294s, 435.77/s) LR: 6.196e-04 Data: 0.000 (0.011) +2025-02-04 03:14:48,423 - train: [ INFO] - Eval : 6 Time: 0.723 (0.723) Loss: 1.1491 (1.1491) Acc@1: 74.2188 (74.2188)Acc@5: 99.2188 (99.2188) +2025-02-04 03:14:51,635 - train: [ INFO] - Eval : 6 Time: 0.073 (0.098) Loss: 1.2566 (1.1894) Acc@1: 62.5000 (72.9200)Acc@5: 100.0000 (98.6200) +2025-02-04 03:14:51,967 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-6.pth.tar', 72.92) + +2025-02-04 03:14:52,729 - train: [ INFO] - Train: 7 [ 0/39 ( 0%)] Loss: 1.888552 (1.8886) Acc@1: 71.8750 (71.8750) Acc@5: 98.4375 (98.4375) Time: 0.753s, 169.95/s (0.753s, 169.95/s) LR: 6.176e-04 Data: 0.417 (0.417) +2025-02-04 03:15:03,379 - train: [ INFO] - Train: 7 [ 38/39 (100%)] Loss: 1.768861 (1.8287) Acc@1: 82.0312 (76.9531) Acc@5: 100.0000 (99.2188) Time: 0.274s, 467.02/s (0.292s, 438.39/s) LR: 6.176e-04 Data: 0.000 (0.011) +2025-02-04 03:15:04,232 - train: [ INFO] - Eval : 7 Time: 0.577 (0.577) Loss: 0.9826 (0.9826) Acc@1: 82.8125 (82.8125)Acc@5: 98.4375 (98.4375) +2025-02-04 03:15:07,415 - train: [ INFO] - Eval : 7 Time: 0.071 (0.094) Loss: 0.6766 (1.0179) Acc@1: 100.0000 (81.0600)Acc@5: 100.0000 (98.4000) +2025-02-04 03:15:07,822 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-7.pth.tar', 81.06) + +2025-02-04 03:15:08,626 - train: [ INFO] - Train: 8 [ 0/39 ( 0%)] Loss: 1.803896 (1.8039) Acc@1: 85.9375 (85.9375) Acc@5: 100.0000 (100.0000) Time: 0.789s, 162.27/s (0.789s, 162.27/s) LR: 6.153e-04 Data: 0.453 (0.453) +2025-02-04 03:15:19,346 - train: [ INFO] - Train: 8 [ 38/39 (100%)] Loss: 1.645712 (1.7248) Acc@1: 82.8125 (84.3750) Acc@5: 99.2188 (99.6094) Time: 0.273s, 469.46/s (0.295s, 434.37/s) LR: 6.153e-04 Data: 0.000 (0.012) +2025-02-04 03:15:20,233 - train: [ INFO] - Eval : 8 Time: 0.572 (0.572) Loss: 0.9730 (0.9730) Acc@1: 75.0000 (75.0000)Acc@5: 97.6562 (97.6562) +2025-02-04 03:15:23,411 - train: [ INFO] - Eval : 8 Time: 0.073 (0.094) Loss: 1.0190 (0.9871) Acc@1: 62.5000 (73.8800)Acc@5: 100.0000 (98.3200) +2025-02-04 03:15:24,772 - train: [ INFO] - Train: 9 [ 0/39 ( 0%)] Loss: 1.720159 (1.7202) Acc@1: 84.3750 (84.3750) Acc@5: 99.2188 (99.2188) Time: 0.779s, 164.32/s (0.779s, 164.32/s) LR: 6.128e-04 Data: 0.452 (0.452) +2025-02-04 03:15:35,496 - train: [ INFO] - Train: 9 [ 38/39 (100%)] Loss: 1.553734 (1.6369) Acc@1: 87.5000 (85.9375) Acc@5: 100.0000 (99.6094) Time: 0.271s, 472.59/s (0.295s, 434.58/s) LR: 6.128e-04 Data: 0.000 (0.012) +2025-02-04 03:15:36,444 - train: [ INFO] - Eval : 9 Time: 0.576 (0.576) Loss: 0.8305 (0.8305) Acc@1: 85.1562 (85.1562)Acc@5: 100.0000 (100.0000) +2025-02-04 03:15:39,584 - train: [ INFO] - Eval : 9 Time: 0.071 (0.093) Loss: 0.8404 (0.8107) Acc@1: 87.5000 (87.1800)Acc@5: 100.0000 (99.6400) +2025-02-04 03:15:40,034 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-9.pth.tar', 87.18) + +2025-02-04 03:15:40,951 - train: [ INFO] - Train: 10 [ 0/39 ( 0%)] Loss: 1.513488 (1.5135) Acc@1: 89.0625 (89.0625) Acc@5: 100.0000 (100.0000) Time: 0.907s, 141.12/s (0.907s, 141.12/s) LR: 6.099e-04 Data: 0.568 (0.568) +2025-02-04 03:15:51,652 - train: [ INFO] - Train: 10 [ 38/39 (100%)] Loss: 1.551194 (1.5323) Acc@1: 91.4062 (90.2344) Acc@5: 100.0000 (100.0000) Time: 0.270s, 473.45/s (0.297s, 430.63/s) LR: 6.099e-04 Data: 0.000 (0.015) +2025-02-04 03:15:52,471 - train: [ INFO] - Eval : 10 Time: 0.552 (0.552) Loss: 0.7254 (0.7254) Acc@1: 93.7500 (93.7500)Acc@5: 99.2188 (99.2188) +2025-02-04 03:15:55,685 - train: [ INFO] - Eval : 10 Time: 0.079 (0.094) Loss: 0.5642 (0.7098) Acc@1: 87.5000 (91.7600)Acc@5: 100.0000 (99.7600) +2025-02-04 03:15:56,084 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-10.pth.tar', 91.76) + +2025-02-04 03:15:56,848 - train: [ INFO] - Train: 11 [ 0/39 ( 0%)] Loss: 1.539179 (1.5392) Acc@1: 94.5312 (94.5312) Acc@5: 99.2188 (99.2188) Time: 0.753s, 170.01/s (0.753s, 170.01/s) LR: 6.068e-04 Data: 0.427 (0.427) +2025-02-04 03:16:07,565 - train: [ INFO] - Train: 11 [ 38/39 (100%)] Loss: 1.414621 (1.4769) Acc@1: 96.0938 (95.3125) Acc@5: 99.2188 (99.2188) Time: 0.275s, 465.80/s (0.294s, 435.90/s) LR: 6.068e-04 Data: 0.000 (0.011) +2025-02-04 03:16:08,442 - train: [ INFO] - Eval : 11 Time: 0.551 (0.551) Loss: 0.6488 (0.6488) Acc@1: 88.2812 (88.2812)Acc@5: 100.0000 (100.0000) +2025-02-04 03:16:11,628 - train: [ INFO] - Eval : 11 Time: 0.069 (0.093) Loss: 0.8445 (0.6431) Acc@1: 87.5000 (89.4600)Acc@5: 100.0000 (99.8200) +2025-02-04 03:16:12,701 - train: [ INFO] - Train: 12 [ 0/39 ( 0%)] Loss: 1.436610 (1.4366) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.731s, 175.16/s (0.731s, 175.16/s) LR: 6.034e-04 Data: 0.397 (0.397) +2025-02-04 03:16:23,364 - train: [ INFO] - Train: 12 [ 38/39 (100%)] Loss: 1.389452 (1.4130) Acc@1: 96.8750 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.270s, 474.23/s (0.292s, 438.69/s) LR: 6.034e-04 Data: 0.000 (0.010) +2025-02-04 03:16:24,308 - train: [ INFO] - Eval : 12 Time: 0.595 (0.595) Loss: 0.5169 (0.5169) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2025-02-04 03:16:27,544 - train: [ INFO] - Eval : 12 Time: 0.070 (0.096) Loss: 0.6191 (0.5286) Acc@1: 87.5000 (94.6600)Acc@5: 100.0000 (99.8800) +2025-02-04 03:16:27,932 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-12.pth.tar', 94.66) + +2025-02-04 03:16:28,713 - train: [ INFO] - Train: 13 [ 0/39 ( 0%)] Loss: 1.315657 (1.3157) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.770s, 166.18/s (0.770s, 166.18/s) LR: 5.997e-04 Data: 0.457 (0.457) +2025-02-04 03:16:39,525 - train: [ INFO] - Train: 13 [ 38/39 (100%)] Loss: 1.276008 (1.2958) Acc@1: 96.8750 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.277s, 462.10/s (0.297s, 431.68/s) LR: 5.997e-04 Data: 0.000 (0.012) +2025-02-04 03:16:40,369 - train: [ INFO] - Eval : 13 Time: 0.569 (0.569) Loss: 0.5843 (0.5843) Acc@1: 88.2812 (88.2812)Acc@5: 100.0000 (100.0000) +2025-02-04 03:16:43,503 - train: [ INFO] - Eval : 13 Time: 0.069 (0.093) Loss: 0.6356 (0.5750) Acc@1: 75.0000 (87.4200)Acc@5: 100.0000 (99.8600) +2025-02-04 03:16:44,662 - train: [ INFO] - Train: 14 [ 0/39 ( 0%)] Loss: 1.432703 (1.4327) Acc@1: 87.5000 (87.5000) Acc@5: 100.0000 (100.0000) Time: 0.773s, 165.48/s (0.773s, 165.48/s) LR: 5.957e-04 Data: 0.442 (0.442) +2025-02-04 03:16:55,386 - train: [ INFO] - Train: 14 [ 38/39 (100%)] Loss: 1.247356 (1.3400) Acc@1: 96.0938 (91.7969) Acc@5: 100.0000 (100.0000) Time: 0.275s, 465.99/s (0.294s, 434.81/s) LR: 5.957e-04 Data: 0.000 (0.012) +2025-02-04 03:16:56,211 - train: [ INFO] - Eval : 14 Time: 0.559 (0.559) Loss: 0.4403 (0.4403) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2025-02-04 03:16:59,381 - train: [ INFO] - Eval : 14 Time: 0.065 (0.093) Loss: 0.3766 (0.4255) Acc@1: 87.5000 (94.1600)Acc@5: 100.0000 (99.8600) +2025-02-04 03:17:00,464 - train: [ INFO] - Train: 15 [ 0/39 ( 0%)] Loss: 1.233647 (1.2336) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.737s, 173.79/s (0.737s, 173.79/s) LR: 5.915e-04 Data: 0.404 (0.404) +2025-02-04 03:17:11,120 - train: [ INFO] - Train: 15 [ 38/39 (100%)] Loss: 1.228564 (1.2311) Acc@1: 96.0938 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.274s, 467.42/s (0.292s, 438.73/s) LR: 5.915e-04 Data: 0.000 (0.011) +2025-02-04 03:17:11,939 - train: [ INFO] - Eval : 15 Time: 0.591 (0.591) Loss: 0.4176 (0.4176) Acc@1: 95.3125 (95.3125)Acc@5: 98.4375 (98.4375) +2025-02-04 03:17:15,109 - train: [ INFO] - Eval : 15 Time: 0.067 (0.094) Loss: 0.4006 (0.4216) Acc@1: 87.5000 (93.5000)Acc@5: 100.0000 (99.8600) +2025-02-04 03:17:16,144 - train: [ INFO] - Train: 16 [ 0/39 ( 0%)] Loss: 1.201571 (1.2016) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.737s, 173.69/s (0.737s, 173.69/s) LR: 5.870e-04 Data: 0.409 (0.409) +2025-02-04 03:17:26,847 - train: [ INFO] - Train: 16 [ 38/39 (100%)] Loss: 1.190297 (1.1959) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.271s, 472.97/s (0.293s, 436.85/s) LR: 5.870e-04 Data: 0.000 (0.011) +2025-02-04 03:17:27,690 - train: [ INFO] - Eval : 16 Time: 0.554 (0.554) Loss: 0.3959 (0.3959) Acc@1: 95.3125 (95.3125)Acc@5: 100.0000 (100.0000) +2025-02-04 03:17:30,891 - train: [ INFO] - Eval : 16 Time: 0.070 (0.094) Loss: 0.4015 (0.3646) Acc@1: 87.5000 (95.8200)Acc@5: 100.0000 (99.9000) +2025-02-04 03:17:31,288 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-16.pth.tar', 95.82) + +2025-02-04 03:17:32,050 - train: [ INFO] - Train: 17 [ 0/39 ( 0%)] Loss: 1.179369 (1.1794) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.752s, 170.27/s (0.752s, 170.27/s) LR: 5.822e-04 Data: 0.411 (0.411) +2025-02-04 03:17:42,757 - train: [ INFO] - Train: 17 [ 38/39 (100%)] Loss: 1.217081 (1.1982) Acc@1: 96.8750 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.274s, 466.75/s (0.293s, 436.26/s) LR: 5.822e-04 Data: 0.000 (0.011) +2025-02-04 03:17:43,551 - train: [ INFO] - Eval : 17 Time: 0.571 (0.571) Loss: 0.4670 (0.4670) Acc@1: 85.9375 (85.9375)Acc@5: 99.2188 (99.2188) +2025-02-04 03:17:46,764 - train: [ INFO] - Eval : 17 Time: 0.069 (0.095) Loss: 0.2398 (0.3839) Acc@1: 100.0000 (92.4200)Acc@5: 100.0000 (99.8800) +2025-02-04 03:17:47,903 - train: [ INFO] - Train: 18 [ 0/39 ( 0%)] Loss: 1.174191 (1.1742) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.747s, 171.44/s (0.747s, 171.44/s) LR: 5.771e-04 Data: 0.409 (0.409) +2025-02-04 03:17:58,563 - train: [ INFO] - Train: 18 [ 38/39 (100%)] Loss: 1.111859 (1.1430) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.275s, 465.74/s (0.292s, 438.21/s) LR: 5.771e-04 Data: 0.000 (0.011) +2025-02-04 03:17:59,413 - train: [ INFO] - Eval : 18 Time: 0.564 (0.564) Loss: 0.2670 (0.2670) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:18:02,604 - train: [ INFO] - Eval : 18 Time: 0.068 (0.094) Loss: 0.3370 (0.3108) Acc@1: 100.0000 (97.6200)Acc@5: 100.0000 (99.9600) +2025-02-04 03:18:02,961 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-18.pth.tar', 97.62) + +2025-02-04 03:18:03,720 - train: [ INFO] - Train: 19 [ 0/39 ( 0%)] Loss: 1.150388 (1.1504) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.746s, 171.48/s (0.746s, 171.48/s) LR: 5.718e-04 Data: 0.411 (0.411) +2025-02-04 03:18:14,545 - train: [ INFO] - Train: 19 [ 38/39 (100%)] Loss: 1.226088 (1.1882) Acc@1: 94.5312 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.275s, 465.47/s (0.296s, 431.89/s) LR: 5.718e-04 Data: 0.000 (0.011) +2025-02-04 03:18:15,380 - train: [ INFO] - Eval : 19 Time: 0.582 (0.582) Loss: 0.3150 (0.3150) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2025-02-04 03:18:18,593 - train: [ INFO] - Eval : 19 Time: 0.073 (0.095) Loss: 0.3685 (0.3000) Acc@1: 100.0000 (97.1200)Acc@5: 100.0000 (99.9000) +2025-02-04 03:18:19,691 - train: [ INFO] - Train: 20 [ 0/39 ( 0%)] Loss: 1.156458 (1.1565) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.744s, 171.94/s (0.744s, 171.94/s) LR: 5.663e-04 Data: 0.411 (0.411) +2025-02-04 03:18:30,419 - train: [ INFO] - Train: 20 [ 38/39 (100%)] Loss: 1.134668 (1.1456) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.269s, 475.29/s (0.294s, 435.69/s) LR: 5.663e-04 Data: 0.000 (0.011) +2025-02-04 03:18:31,390 - train: [ INFO] - Eval : 20 Time: 0.587 (0.587) Loss: 0.3001 (0.3001) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2025-02-04 03:18:34,615 - train: [ INFO] - Eval : 20 Time: 0.069 (0.095) Loss: 0.2583 (0.2846) Acc@1: 100.0000 (97.3600)Acc@5: 100.0000 (99.9200) +2025-02-04 03:18:35,776 - train: [ INFO] - Train: 21 [ 0/39 ( 0%)] Loss: 1.118801 (1.1188) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.737s, 173.65/s (0.737s, 173.65/s) LR: 5.605e-04 Data: 0.405 (0.405) +2025-02-04 03:18:46,508 - train: [ INFO] - Train: 21 [ 38/39 (100%)] Loss: 1.091752 (1.1053) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.278s, 461.24/s (0.294s, 436.04/s) LR: 5.605e-04 Data: 0.000 (0.011) +2025-02-04 03:18:47,407 - train: [ INFO] - Eval : 21 Time: 0.571 (0.571) Loss: 0.2807 (0.2807) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2025-02-04 03:18:50,667 - train: [ INFO] - Eval : 21 Time: 0.069 (0.096) Loss: 0.4840 (0.3200) Acc@1: 87.5000 (95.0400)Acc@5: 100.0000 (99.8600) +2025-02-04 03:18:51,721 - train: [ INFO] - Train: 22 [ 0/39 ( 0%)] Loss: 1.135890 (1.1359) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.749s, 170.90/s (0.749s, 170.90/s) LR: 5.544e-04 Data: 0.422 (0.422) +2025-02-04 03:19:02,552 - train: [ INFO] - Train: 22 [ 38/39 (100%)] Loss: 1.148679 (1.1423) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.272s, 470.83/s (0.296s, 431.77/s) LR: 5.544e-04 Data: 0.000 (0.011) +2025-02-04 03:19:03,362 - train: [ INFO] - Eval : 22 Time: 0.551 (0.551) Loss: 0.3032 (0.3032) Acc@1: 92.9688 (92.9688)Acc@5: 100.0000 (100.0000) +2025-02-04 03:19:06,524 - train: [ INFO] - Eval : 22 Time: 0.070 (0.093) Loss: 0.5259 (0.2646) Acc@1: 87.5000 (96.6400)Acc@5: 100.0000 (99.9200) +2025-02-04 03:19:07,589 - train: [ INFO] - Train: 23 [ 0/39 ( 0%)] Loss: 1.087586 (1.0876) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.764s, 167.49/s (0.764s, 167.49/s) LR: 5.482e-04 Data: 0.429 (0.429) +2025-02-04 03:19:18,163 - train: [ INFO] - Train: 23 [ 38/39 (100%)] Loss: 1.054744 (1.0712) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.265s, 482.58/s (0.290s, 440.88/s) LR: 5.482e-04 Data: 0.000 (0.011) +2025-02-04 03:19:18,983 - train: [ INFO] - Eval : 23 Time: 0.545 (0.545) Loss: 0.2341 (0.2341) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2025-02-04 03:19:22,157 - train: [ INFO] - Eval : 23 Time: 0.066 (0.093) Loss: 0.1635 (0.2615) Acc@1: 100.0000 (97.3400)Acc@5: 100.0000 (99.9800) +2025-02-04 03:19:23,251 - train: [ INFO] - Train: 24 [ 0/39 ( 0%)] Loss: 1.058941 (1.0589) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.750s, 170.75/s (0.750s, 170.75/s) LR: 5.417e-04 Data: 0.424 (0.424) +2025-02-04 03:19:33,834 - train: [ INFO] - Train: 24 [ 38/39 (100%)] Loss: 1.147968 (1.1035) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.271s, 472.85/s (0.290s, 441.09/s) LR: 5.417e-04 Data: 0.000 (0.011) +2025-02-04 03:19:34,663 - train: [ INFO] - Eval : 24 Time: 0.572 (0.572) Loss: 0.2691 (0.2691) Acc@1: 95.3125 (95.3125)Acc@5: 100.0000 (100.0000) +2025-02-04 03:19:37,848 - train: [ INFO] - Eval : 24 Time: 0.065 (0.094) Loss: 0.3234 (0.2554) Acc@1: 87.5000 (97.2800)Acc@5: 100.0000 (99.9200) +2025-02-04 03:19:38,961 - train: [ INFO] - Train: 25 [ 0/39 ( 0%)] Loss: 1.070120 (1.0701) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.769s, 166.52/s (0.769s, 166.52/s) LR: 5.349e-04 Data: 0.441 (0.441) +2025-02-04 03:19:49,662 - train: [ INFO] - Train: 25 [ 38/39 (100%)] Loss: 1.047572 (1.0588) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.268s, 477.33/s (0.294s, 435.87/s) LR: 5.349e-04 Data: 0.000 (0.012) +2025-02-04 03:19:50,541 - train: [ INFO] - Eval : 25 Time: 0.549 (0.549) Loss: 0.2026 (0.2026) Acc@1: 95.3125 (95.3125)Acc@5: 100.0000 (100.0000) +2025-02-04 03:19:53,732 - train: [ INFO] - Eval : 25 Time: 0.067 (0.094) Loss: 0.1637 (0.2330) Acc@1: 100.0000 (96.4800)Acc@5: 100.0000 (99.9200) +2025-02-04 03:19:54,849 - train: [ INFO] - Train: 26 [ 0/39 ( 0%)] Loss: 1.046868 (1.0469) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.762s, 168.02/s (0.762s, 168.02/s) LR: 5.280e-04 Data: 0.424 (0.424) +2025-02-04 03:20:05,399 - train: [ INFO] - Train: 26 [ 38/39 (100%)] Loss: 1.093124 (1.0700) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.272s, 470.19/s (0.290s, 442.01/s) LR: 5.280e-04 Data: 0.000 (0.011) +2025-02-04 03:20:06,214 - train: [ INFO] - Eval : 26 Time: 0.569 (0.569) Loss: 0.2776 (0.2776) Acc@1: 96.8750 (96.8750)Acc@5: 99.2188 (99.2188) +2025-02-04 03:20:09,376 - train: [ INFO] - Eval : 26 Time: 0.066 (0.093) Loss: 0.3590 (0.3181) Acc@1: 75.0000 (93.1800)Acc@5: 100.0000 (99.8200) +2025-02-04 03:20:10,487 - train: [ INFO] - Train: 27 [ 0/39 ( 0%)] Loss: 1.079615 (1.0796) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.762s, 168.05/s (0.762s, 168.05/s) LR: 5.209e-04 Data: 0.432 (0.432) +2025-02-04 03:20:21,045 - train: [ INFO] - Train: 27 [ 38/39 (100%)] Loss: 1.064398 (1.0720) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.262s, 488.16/s (0.290s, 441.69/s) LR: 5.209e-04 Data: 0.000 (0.011) +2025-02-04 03:20:21,933 - train: [ INFO] - Eval : 27 Time: 0.564 (0.564) Loss: 0.1864 (0.1864) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:20:25,118 - train: [ INFO] - Eval : 27 Time: 0.067 (0.094) Loss: 0.2065 (0.2300) Acc@1: 100.0000 (97.8400)Acc@5: 100.0000 (99.9400) +2025-02-04 03:20:25,479 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-27.pth.tar', 97.84) + +2025-02-04 03:20:26,262 - train: [ INFO] - Train: 28 [ 0/39 ( 0%)] Loss: 1.086771 (1.0868) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.771s, 166.04/s (0.771s, 166.04/s) LR: 5.135e-04 Data: 0.453 (0.453) +2025-02-04 03:20:36,783 - train: [ INFO] - Train: 28 [ 38/39 (100%)] Loss: 1.090941 (1.0889) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.269s, 476.38/s (0.289s, 442.71/s) LR: 5.135e-04 Data: 0.000 (0.012) +2025-02-04 03:20:37,815 - train: [ INFO] - Eval : 28 Time: 0.688 (0.688) Loss: 0.2021 (0.2021) Acc@1: 97.6562 (97.6562)Acc@5: 99.2188 (99.2188) +2025-02-04 03:20:40,986 - train: [ INFO] - Eval : 28 Time: 0.065 (0.096) Loss: 0.4780 (0.2049) Acc@1: 75.0000 (97.5400)Acc@5: 100.0000 (99.9600) +2025-02-04 03:20:42,103 - train: [ INFO] - Train: 29 [ 0/39 ( 0%)] Loss: 1.044307 (1.0443) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.766s, 167.16/s (0.766s, 167.16/s) LR: 5.060e-04 Data: 0.425 (0.425) +2025-02-04 03:20:52,774 - train: [ INFO] - Train: 29 [ 38/39 (100%)] Loss: 1.036895 (1.0406) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.266s, 481.41/s (0.293s, 437.24/s) LR: 5.060e-04 Data: 0.000 (0.011) +2025-02-04 03:20:53,580 - train: [ INFO] - Eval : 29 Time: 0.570 (0.570) Loss: 0.2243 (0.2243) Acc@1: 97.6562 (97.6562)Acc@5: 99.2188 (99.2188) +2025-02-04 03:20:56,747 - train: [ INFO] - Eval : 29 Time: 0.070 (0.093) Loss: 0.2094 (0.1989) Acc@1: 100.0000 (98.5600)Acc@5: 100.0000 (99.9800) +2025-02-04 03:20:57,491 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-29.pth.tar', 98.56) + +2025-02-04 03:20:58,362 - train: [ INFO] - Train: 30 [ 0/39 ( 0%)] Loss: 1.070727 (1.0707) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.741s, 172.64/s (0.741s, 172.64/s) LR: 4.982e-04 Data: 0.405 (0.405) +2025-02-04 03:21:09,084 - train: [ INFO] - Train: 30 [ 38/39 (100%)] Loss: 1.007795 (1.0393) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.269s, 475.44/s (0.293s, 436.25/s) LR: 4.982e-04 Data: 0.000 (0.011) +2025-02-04 03:21:09,951 - train: [ INFO] - Eval : 30 Time: 0.567 (0.567) Loss: 0.1635 (0.1635) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:21:13,099 - train: [ INFO] - Eval : 30 Time: 0.064 (0.093) Loss: 0.1063 (0.1983) Acc@1: 100.0000 (98.0600)Acc@5: 100.0000 (99.9000) +2025-02-04 03:21:14,393 - train: [ INFO] - Train: 31 [ 0/39 ( 0%)] Loss: 1.014247 (1.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.814s, 157.24/s (0.814s, 157.24/s) LR: 4.903e-04 Data: 0.481 (0.481) +2025-02-04 03:21:25,175 - train: [ INFO] - Train: 31 [ 38/39 (100%)] Loss: 1.051127 (1.0327) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.274s, 466.35/s (0.297s, 431.14/s) LR: 4.903e-04 Data: 0.000 (0.013) +2025-02-04 03:21:26,069 - train: [ INFO] - Eval : 31 Time: 0.553 (0.553) Loss: 0.2002 (0.2002) Acc@1: 97.6562 (97.6562)Acc@5: 99.2188 (99.2188) +2025-02-04 03:21:29,164 - train: [ INFO] - Eval : 31 Time: 0.071 (0.091) Loss: 0.1722 (0.1892) Acc@1: 100.0000 (98.0400)Acc@5: 100.0000 (99.9600) +2025-02-04 03:21:30,294 - train: [ INFO] - Train: 32 [ 0/39 ( 0%)] Loss: 1.088670 (1.0887) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.777s, 164.76/s (0.777s, 164.76/s) LR: 4.823e-04 Data: 0.445 (0.445) +2025-02-04 03:21:40,963 - train: [ INFO] - Train: 32 [ 38/39 (100%)] Loss: 1.062578 (1.0756) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.275s, 465.24/s (0.293s, 436.76/s) LR: 4.823e-04 Data: 0.000 (0.012) +2025-02-04 03:21:41,746 - train: [ INFO] - Eval : 32 Time: 0.565 (0.565) Loss: 0.1541 (0.1541) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:21:44,851 - train: [ INFO] - Eval : 32 Time: 0.072 (0.092) Loss: 0.1859 (0.1769) Acc@1: 100.0000 (98.6200)Acc@5: 100.0000 (99.9400) +2025-02-04 03:21:45,220 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-32.pth.tar', 98.62) + +2025-02-04 03:21:45,988 - train: [ INFO] - Train: 33 [ 0/39 ( 0%)] Loss: 1.026216 (1.0262) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.756s, 169.32/s (0.756s, 169.32/s) LR: 4.740e-04 Data: 0.421 (0.421) +2025-02-04 03:21:56,618 - train: [ INFO] - Train: 33 [ 38/39 (100%)] Loss: 1.026000 (1.0261) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.271s, 472.16/s (0.292s, 439.00/s) LR: 4.740e-04 Data: 0.000 (0.011) +2025-02-04 03:21:57,501 - train: [ INFO] - Eval : 33 Time: 0.558 (0.558) Loss: 0.2082 (0.2082) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:22:00,711 - train: [ INFO] - Eval : 33 Time: 0.065 (0.094) Loss: 0.0955 (0.2146) Acc@1: 100.0000 (97.4600)Acc@5: 100.0000 (100.0000) +2025-02-04 03:22:01,934 - train: [ INFO] - Train: 34 [ 0/39 ( 0%)] Loss: 0.999844 (0.9998) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.758s, 168.85/s (0.758s, 168.85/s) LR: 4.656e-04 Data: 0.420 (0.420) +2025-02-04 03:22:12,740 - train: [ INFO] - Train: 34 [ 38/39 (100%)] Loss: 1.028404 (1.0141) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.20/s (0.296s, 432.38/s) LR: 4.656e-04 Data: 0.000 (0.011) +2025-02-04 03:22:13,640 - train: [ INFO] - Eval : 34 Time: 0.562 (0.562) Loss: 0.1387 (0.1387) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:22:16,748 - train: [ INFO] - Eval : 34 Time: 0.071 (0.092) Loss: 0.1967 (0.1790) Acc@1: 100.0000 (98.6400)Acc@5: 100.0000 (99.9600) +2025-02-04 03:22:17,238 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-34.pth.tar', 98.64) + +2025-02-04 03:22:18,026 - train: [ INFO] - Train: 35 [ 0/39 ( 0%)] Loss: 1.043468 (1.0435) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.776s, 165.04/s (0.776s, 165.04/s) LR: 4.571e-04 Data: 0.443 (0.443) +2025-02-04 03:22:28,595 - train: [ INFO] - Train: 35 [ 38/39 (100%)] Loss: 1.076240 (1.0599) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.272s, 470.82/s (0.291s, 440.53/s) LR: 4.571e-04 Data: 0.000 (0.012) +2025-02-04 03:22:29,464 - train: [ INFO] - Eval : 35 Time: 0.547 (0.547) Loss: 0.1788 (0.1788) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:22:32,607 - train: [ INFO] - Eval : 35 Time: 0.065 (0.092) Loss: 0.1110 (0.1873) Acc@1: 100.0000 (98.3800)Acc@5: 100.0000 (99.9400) +2025-02-04 03:22:33,749 - train: [ INFO] - Train: 36 [ 0/39 ( 0%)] Loss: 1.025488 (1.0255) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.751s, 170.33/s (0.751s, 170.33/s) LR: 4.484e-04 Data: 0.420 (0.420) +2025-02-04 03:22:44,456 - train: [ INFO] - Train: 36 [ 38/39 (100%)] Loss: 1.042261 (1.0339) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.271s, 472.60/s (0.293s, 436.23/s) LR: 4.484e-04 Data: 0.000 (0.011) +2025-02-04 03:22:45,234 - train: [ INFO] - Eval : 36 Time: 0.554 (0.554) Loss: 0.2071 (0.2071) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2025-02-04 03:22:48,452 - train: [ INFO] - Eval : 36 Time: 0.063 (0.094) Loss: 0.3249 (0.1896) Acc@1: 87.5000 (98.1000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:22:49,648 - train: [ INFO] - Train: 37 [ 0/39 ( 0%)] Loss: 1.067393 (1.0674) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.798s, 160.41/s (0.798s, 160.41/s) LR: 4.396e-04 Data: 0.467 (0.467) +2025-02-04 03:23:00,402 - train: [ INFO] - Train: 37 [ 38/39 (100%)] Loss: 1.028857 (1.0481) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.277s, 462.35/s (0.296s, 432.81/s) LR: 4.396e-04 Data: 0.000 (0.012) +2025-02-04 03:23:01,338 - train: [ INFO] - Eval : 37 Time: 0.649 (0.649) Loss: 0.1867 (0.1867) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:23:04,374 - train: [ INFO] - Eval : 37 Time: 0.065 (0.092) Loss: 0.4209 (0.2059) Acc@1: 87.5000 (97.6400)Acc@5: 100.0000 (99.9000) +2025-02-04 03:23:05,471 - train: [ INFO] - Train: 38 [ 0/39 ( 0%)] Loss: 1.039323 (1.0393) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.746s, 171.58/s (0.746s, 171.58/s) LR: 4.307e-04 Data: 0.413 (0.413) +2025-02-04 03:23:16,151 - train: [ INFO] - Train: 38 [ 38/39 (100%)] Loss: 1.033801 (1.0366) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.273s, 468.15/s (0.293s, 437.60/s) LR: 4.307e-04 Data: 0.000 (0.011) +2025-02-04 03:23:17,026 - train: [ INFO] - Eval : 38 Time: 0.602 (0.602) Loss: 0.1624 (0.1624) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:23:20,121 - train: [ INFO] - Eval : 38 Time: 0.069 (0.092) Loss: 0.1264 (0.1674) Acc@1: 100.0000 (98.5600)Acc@5: 100.0000 (99.9600) +2025-02-04 03:23:21,266 - train: [ INFO] - Train: 39 [ 0/39 ( 0%)] Loss: 0.999481 (0.9995) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.751s, 170.39/s (0.751s, 170.39/s) LR: 4.217e-04 Data: 0.418 (0.418) +2025-02-04 03:23:31,974 - train: [ INFO] - Train: 39 [ 38/39 (100%)] Loss: 1.048545 (1.0240) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.273s, 468.15/s (0.293s, 436.40/s) LR: 4.217e-04 Data: 0.000 (0.011) +2025-02-04 03:23:32,783 - train: [ INFO] - Eval : 39 Time: 0.566 (0.566) Loss: 0.1958 (0.1958) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2025-02-04 03:23:35,961 - train: [ INFO] - Eval : 39 Time: 0.071 (0.094) Loss: 0.2548 (0.1752) Acc@1: 87.5000 (98.6200)Acc@5: 100.0000 (99.9600) +2025-02-04 03:23:37,087 - train: [ INFO] - Train: 40 [ 0/39 ( 0%)] Loss: 1.023905 (1.0239) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.752s, 170.29/s (0.752s, 170.29/s) LR: 4.125e-04 Data: 0.428 (0.428) +2025-02-04 03:23:47,873 - train: [ INFO] - Train: 40 [ 38/39 (100%)] Loss: 1.039601 (1.0318) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.272s, 470.06/s (0.295s, 433.32/s) LR: 4.125e-04 Data: 0.000 (0.011) +2025-02-04 03:23:48,734 - train: [ INFO] - Eval : 40 Time: 0.565 (0.565) Loss: 0.2037 (0.2037) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2025-02-04 03:23:51,885 - train: [ INFO] - Eval : 40 Time: 0.065 (0.093) Loss: 0.1774 (0.1917) Acc@1: 100.0000 (98.4400)Acc@5: 100.0000 (99.9600) +2025-02-04 03:23:52,986 - train: [ INFO] - Train: 41 [ 0/39 ( 0%)] Loss: 1.018535 (1.0185) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.740s, 172.89/s (0.740s, 172.89/s) LR: 4.033e-04 Data: 0.423 (0.423) +2025-02-04 03:24:03,642 - train: [ INFO] - Train: 41 [ 38/39 (100%)] Loss: 1.062929 (1.0407) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.272s, 470.54/s (0.292s, 438.76/s) LR: 4.033e-04 Data: 0.000 (0.011) +2025-02-04 03:24:04,464 - train: [ INFO] - Eval : 41 Time: 0.586 (0.586) Loss: 0.1670 (0.1670) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:24:07,697 - train: [ INFO] - Eval : 41 Time: 0.068 (0.095) Loss: 0.0795 (0.1659) Acc@1: 100.0000 (98.7800)Acc@5: 100.0000 (99.9800) +2025-02-04 03:24:08,057 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-41.pth.tar', 98.78) + +2025-02-04 03:24:08,812 - train: [ INFO] - Train: 42 [ 0/39 ( 0%)] Loss: 1.004029 (1.0040) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.745s, 171.87/s (0.745s, 171.87/s) LR: 3.940e-04 Data: 0.412 (0.412) +2025-02-04 03:24:19,527 - train: [ INFO] - Train: 42 [ 38/39 (100%)] Loss: 1.035267 (1.0196) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.269s, 475.55/s (0.293s, 436.26/s) LR: 3.940e-04 Data: 0.000 (0.011) +2025-02-04 03:24:20,352 - train: [ INFO] - Eval : 42 Time: 0.576 (0.576) Loss: 0.1708 (0.1708) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:24:23,533 - train: [ INFO] - Eval : 42 Time: 0.065 (0.094) Loss: 0.2672 (0.1609) Acc@1: 87.5000 (98.9000)Acc@5: 100.0000 (99.9400) +2025-02-04 03:24:23,939 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-42.pth.tar', 98.9) + +2025-02-04 03:24:24,727 - train: [ INFO] - Train: 43 [ 0/39 ( 0%)] Loss: 1.056380 (1.0564) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.776s, 164.95/s (0.776s, 164.95/s) LR: 3.846e-04 Data: 0.449 (0.449) +2025-02-04 03:24:35,535 - train: [ INFO] - Train: 43 [ 38/39 (100%)] Loss: 1.000531 (1.0285) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.273s, 468.79/s (0.297s, 431.59/s) LR: 3.846e-04 Data: 0.000 (0.012) +2025-02-04 03:24:36,377 - train: [ INFO] - Eval : 43 Time: 0.574 (0.574) Loss: 0.2035 (0.2035) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2025-02-04 03:24:39,530 - train: [ INFO] - Eval : 43 Time: 0.071 (0.093) Loss: 0.0993 (0.1687) Acc@1: 100.0000 (98.7600)Acc@5: 100.0000 (99.9800) +2025-02-04 03:24:40,670 - train: [ INFO] - Train: 44 [ 0/39 ( 0%)] Loss: 1.031999 (1.0320) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.748s, 171.21/s (0.748s, 171.21/s) LR: 3.751e-04 Data: 0.431 (0.431) +2025-02-04 03:24:51,268 - train: [ INFO] - Train: 44 [ 38/39 (100%)] Loss: 0.991108 (1.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.265s, 482.48/s (0.291s, 440.61/s) LR: 3.751e-04 Data: 0.000 (0.011) +2025-02-04 03:24:52,162 - train: [ INFO] - Eval : 44 Time: 0.560 (0.560) Loss: 0.1660 (0.1660) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:24:55,294 - train: [ INFO] - Eval : 44 Time: 0.065 (0.092) Loss: 0.0968 (0.1715) Acc@1: 100.0000 (98.7600)Acc@5: 100.0000 (99.9400) +2025-02-04 03:24:56,430 - train: [ INFO] - Train: 45 [ 0/39 ( 0%)] Loss: 0.980806 (0.9808) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.740s, 173.08/s (0.740s, 173.08/s) LR: 3.656e-04 Data: 0.406 (0.406) +2025-02-04 03:25:06,990 - train: [ INFO] - Train: 45 [ 38/39 (100%)] Loss: 1.092564 (1.0367) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.266s, 481.67/s (0.289s, 442.37/s) LR: 3.656e-04 Data: 0.000 (0.011) +2025-02-04 03:25:07,766 - train: [ INFO] - Eval : 45 Time: 0.546 (0.546) Loss: 0.1580 (0.1580) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:25:10,809 - train: [ INFO] - Eval : 45 Time: 0.066 (0.090) Loss: 0.2569 (0.1746) Acc@1: 100.0000 (98.7200)Acc@5: 100.0000 (99.9200) +2025-02-04 03:25:11,892 - train: [ INFO] - Train: 46 [ 0/39 ( 0%)] Loss: 1.011371 (1.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.757s, 169.05/s (0.757s, 169.05/s) LR: 3.560e-04 Data: 0.420 (0.420) +2025-02-04 03:25:22,571 - train: [ INFO] - Train: 46 [ 38/39 (100%)] Loss: 1.020098 (1.0157) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.271s, 472.88/s (0.293s, 437.12/s) LR: 3.560e-04 Data: 0.000 (0.011) +2025-02-04 03:25:23,398 - train: [ INFO] - Eval : 46 Time: 0.561 (0.561) Loss: 0.1715 (0.1715) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:25:26,510 - train: [ INFO] - Eval : 46 Time: 0.066 (0.092) Loss: 0.0872 (0.1785) Acc@1: 100.0000 (98.3000)Acc@5: 100.0000 (99.9400) +2025-02-04 03:25:27,595 - train: [ INFO] - Train: 47 [ 0/39 ( 0%)] Loss: 1.013416 (1.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.746s, 171.59/s (0.746s, 171.59/s) LR: 3.464e-04 Data: 0.411 (0.411) +2025-02-04 03:25:38,159 - train: [ INFO] - Train: 47 [ 38/39 (100%)] Loss: 1.028812 (1.0211) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.87/s (0.290s, 441.95/s) LR: 3.464e-04 Data: 0.000 (0.011) +2025-02-04 03:25:39,012 - train: [ INFO] - Eval : 47 Time: 0.558 (0.558) Loss: 0.1730 (0.1730) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:25:42,141 - train: [ INFO] - Eval : 47 Time: 0.064 (0.092) Loss: 0.2682 (0.1778) Acc@1: 100.0000 (98.8400)Acc@5: 100.0000 (99.9200) +2025-02-04 03:25:43,271 - train: [ INFO] - Train: 48 [ 0/39 ( 0%)] Loss: 1.023659 (1.0237) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.755s, 169.61/s (0.755s, 169.61/s) LR: 3.368e-04 Data: 0.424 (0.424) +2025-02-04 03:25:53,815 - train: [ INFO] - Train: 48 [ 38/39 (100%)] Loss: 1.021428 (1.0225) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.267s, 478.64/s (0.289s, 442.52/s) LR: 3.368e-04 Data: 0.000 (0.011) +2025-02-04 03:25:54,656 - train: [ INFO] - Eval : 48 Time: 0.576 (0.576) Loss: 0.1648 (0.1648) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:25:57,729 - train: [ INFO] - Eval : 48 Time: 0.066 (0.091) Loss: 0.1130 (0.1663) Acc@1: 100.0000 (98.7600)Acc@5: 100.0000 (99.9400) +2025-02-04 03:25:58,773 - train: [ INFO] - Train: 49 [ 0/39 ( 0%)] Loss: 1.018211 (1.0182) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.749s, 170.99/s (0.749s, 170.99/s) LR: 3.272e-04 Data: 0.431 (0.431) +2025-02-04 03:26:09,489 - train: [ INFO] - Train: 49 [ 38/39 (100%)] Loss: 0.992120 (1.0052) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.272s, 470.97/s (0.293s, 436.17/s) LR: 3.272e-04 Data: 0.000 (0.011) +2025-02-04 03:26:10,383 - train: [ INFO] - Eval : 49 Time: 0.559 (0.559) Loss: 0.1593 (0.1593) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:26:13,484 - train: [ INFO] - Eval : 49 Time: 0.066 (0.092) Loss: 0.1191 (0.1805) Acc@1: 100.0000 (98.6600)Acc@5: 100.0000 (99.9800) +2025-02-04 03:26:14,634 - train: [ INFO] - Train: 50 [ 0/39 ( 0%)] Loss: 1.046513 (1.0465) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 175.32/s (0.730s, 175.32/s) LR: 3.175e-04 Data: 0.398 (0.398) +2025-02-04 03:26:25,150 - train: [ INFO] - Train: 50 [ 38/39 (100%)] Loss: 1.033223 (1.0399) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.77/s (0.288s, 444.55/s) LR: 3.175e-04 Data: 0.000 (0.010) +2025-02-04 03:26:25,962 - train: [ INFO] - Eval : 50 Time: 0.558 (0.558) Loss: 0.1784 (0.1784) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:26:29,038 - train: [ INFO] - Eval : 50 Time: 0.068 (0.091) Loss: 0.0804 (0.1672) Acc@1: 100.0000 (98.9600)Acc@5: 100.0000 (99.9600) +2025-02-04 03:26:29,420 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-50.pth.tar', 98.96) + +2025-02-04 03:26:30,193 - train: [ INFO] - Train: 51 [ 0/39 ( 0%)] Loss: 1.012649 (1.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.762s, 167.96/s (0.762s, 167.96/s) LR: 3.078e-04 Data: 0.429 (0.429) +2025-02-04 03:26:40,798 - train: [ INFO] - Train: 51 [ 38/39 (100%)] Loss: 0.993053 (1.0029) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.265s, 483.47/s (0.291s, 439.76/s) LR: 3.078e-04 Data: 0.000 (0.011) +2025-02-04 03:26:41,683 - train: [ INFO] - Eval : 51 Time: 0.560 (0.560) Loss: 0.1412 (0.1412) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:26:44,826 - train: [ INFO] - Eval : 51 Time: 0.066 (0.093) Loss: 0.1110 (0.1697) Acc@1: 100.0000 (98.9600)Acc@5: 100.0000 (99.9800) +2025-02-04 03:26:45,871 - train: [ INFO] - Train: 52 [ 0/39 ( 0%)] Loss: 1.014466 (1.0145) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.738s, 173.41/s (0.738s, 173.41/s) LR: 2.982e-04 Data: 0.408 (0.408) +2025-02-04 03:26:56,576 - train: [ INFO] - Train: 52 [ 38/39 (100%)] Loss: 1.004409 (1.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.268s, 477.17/s (0.293s, 436.73/s) LR: 2.982e-04 Data: 0.000 (0.011) +2025-02-04 03:26:57,471 - train: [ INFO] - Eval : 52 Time: 0.576 (0.576) Loss: 0.1835 (0.1835) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2025-02-04 03:27:00,613 - train: [ INFO] - Eval : 52 Time: 0.065 (0.093) Loss: 0.1015 (0.1833) Acc@1: 100.0000 (98.4000)Acc@5: 100.0000 (99.9000) +2025-02-04 03:27:01,680 - train: [ INFO] - Train: 53 [ 0/39 ( 0%)] Loss: 1.014450 (1.0145) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.753s, 169.99/s (0.753s, 169.99/s) LR: 2.886e-04 Data: 0.431 (0.431) +2025-02-04 03:27:12,232 - train: [ INFO] - Train: 53 [ 38/39 (100%)] Loss: 0.980583 (0.9975) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.54/s (0.290s, 442.07/s) LR: 2.886e-04 Data: 0.000 (0.011) +2025-02-04 03:27:13,135 - train: [ INFO] - Eval : 53 Time: 0.555 (0.555) Loss: 0.1972 (0.1972) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:27:16,191 - train: [ INFO] - Eval : 53 Time: 0.068 (0.090) Loss: 0.1222 (0.1642) Acc@1: 100.0000 (98.6800)Acc@5: 100.0000 (100.0000) +2025-02-04 03:27:17,249 - train: [ INFO] - Train: 54 [ 0/39 ( 0%)] Loss: 0.999004 (0.9990) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 175.48/s (0.729s, 175.48/s) LR: 2.790e-04 Data: 0.399 (0.399) +2025-02-04 03:27:27,792 - train: [ INFO] - Train: 54 [ 38/39 (100%)] Loss: 1.061211 (1.0301) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.274s, 466.74/s (0.289s, 443.41/s) LR: 2.790e-04 Data: 0.000 (0.010) +2025-02-04 03:27:28,644 - train: [ INFO] - Eval : 54 Time: 0.536 (0.536) Loss: 0.1385 (0.1385) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:27:31,626 - train: [ INFO] - Eval : 54 Time: 0.065 (0.088) Loss: 0.0980 (0.1665) Acc@1: 100.0000 (98.4200)Acc@5: 100.0000 (99.9600) +2025-02-04 03:27:32,702 - train: [ INFO] - Train: 55 [ 0/39 ( 0%)] Loss: 0.979842 (0.9798) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 177.40/s (0.722s, 177.40/s) LR: 2.694e-04 Data: 0.401 (0.401) +2025-02-04 03:27:43,241 - train: [ INFO] - Train: 55 [ 38/39 (100%)] Loss: 1.063015 (1.0214) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 481.60/s (0.288s, 443.81/s) LR: 2.694e-04 Data: 0.000 (0.010) +2025-02-04 03:27:44,083 - train: [ INFO] - Eval : 55 Time: 0.532 (0.532) Loss: 0.1395 (0.1395) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:27:47,096 - train: [ INFO] - Eval : 55 Time: 0.064 (0.089) Loss: 0.0855 (0.1527) Acc@1: 100.0000 (99.1800)Acc@5: 100.0000 (100.0000) +2025-02-04 03:27:47,554 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-55.pth.tar', 99.18) + +2025-02-04 03:27:48,302 - train: [ INFO] - Train: 56 [ 0/39 ( 0%)] Loss: 0.993374 (0.9934) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.736s, 173.86/s (0.736s, 173.86/s) LR: 2.599e-04 Data: 0.421 (0.421) +2025-02-04 03:27:58,729 - train: [ INFO] - Train: 56 [ 38/39 (100%)] Loss: 1.058530 (1.0260) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.265s, 482.75/s (0.286s, 447.69/s) LR: 2.599e-04 Data: 0.000 (0.011) +2025-02-04 03:27:59,499 - train: [ INFO] - Eval : 56 Time: 0.516 (0.516) Loss: 0.1607 (0.1607) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:28:02,517 - train: [ INFO] - Eval : 56 Time: 0.065 (0.088) Loss: 0.1651 (0.1641) Acc@1: 100.0000 (98.9200)Acc@5: 100.0000 (99.9800) +2025-02-04 03:28:03,632 - train: [ INFO] - Train: 57 [ 0/39 ( 0%)] Loss: 1.018072 (1.0181) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.715s, 178.94/s (0.715s, 178.94/s) LR: 2.504e-04 Data: 0.388 (0.388) +2025-02-04 03:28:14,078 - train: [ INFO] - Train: 57 [ 38/39 (100%)] Loss: 0.977460 (0.9978) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 480.23/s (0.286s, 447.73/s) LR: 2.504e-04 Data: 0.000 (0.010) +2025-02-04 03:28:14,914 - train: [ INFO] - Eval : 57 Time: 0.520 (0.520) Loss: 0.1710 (0.1710) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:28:17,958 - train: [ INFO] - Eval : 57 Time: 0.065 (0.089) Loss: 0.2373 (0.1563) Acc@1: 87.5000 (99.0400)Acc@5: 100.0000 (99.9800) +2025-02-04 03:28:19,097 - train: [ INFO] - Train: 58 [ 0/39 ( 0%)] Loss: 1.024706 (1.0247) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.727s, 176.02/s (0.727s, 176.02/s) LR: 2.410e-04 Data: 0.403 (0.403) +2025-02-04 03:28:29,653 - train: [ INFO] - Train: 58 [ 38/39 (100%)] Loss: 0.984610 (1.0047) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.268s, 478.30/s (0.289s, 442.85/s) LR: 2.410e-04 Data: 0.000 (0.011) +2025-02-04 03:28:30,543 - train: [ INFO] - Eval : 58 Time: 0.551 (0.551) Loss: 0.1642 (0.1642) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:28:33,575 - train: [ INFO] - Eval : 58 Time: 0.064 (0.090) Loss: 0.1532 (0.1595) Acc@1: 100.0000 (98.9000)Acc@5: 100.0000 (99.9800) +2025-02-04 03:28:34,723 - train: [ INFO] - Train: 59 [ 0/39 ( 0%)] Loss: 1.011857 (1.0119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 177.50/s (0.721s, 177.50/s) LR: 2.317e-04 Data: 0.401 (0.401) +2025-02-04 03:28:45,201 - train: [ INFO] - Train: 59 [ 38/39 (100%)] Loss: 1.057788 (1.0348) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 480.17/s (0.287s, 446.17/s) LR: 2.317e-04 Data: 0.000 (0.010) +2025-02-04 03:28:46,075 - train: [ INFO] - Eval : 59 Time: 0.538 (0.538) Loss: 0.1626 (0.1626) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:28:49,080 - train: [ INFO] - Eval : 59 Time: 0.064 (0.089) Loss: 0.0630 (0.1609) Acc@1: 100.0000 (99.0200)Acc@5: 100.0000 (100.0000) +2025-02-04 03:28:50,139 - train: [ INFO] - Train: 60 [ 0/39 ( 0%)] Loss: 0.986970 (0.9870) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.715s, 179.01/s (0.715s, 179.01/s) LR: 2.225e-04 Data: 0.394 (0.394) +2025-02-04 03:29:00,587 - train: [ INFO] - Train: 60 [ 38/39 (100%)] Loss: 1.001063 (0.9940) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.267s, 478.89/s (0.286s, 447.70/s) LR: 2.225e-04 Data: 0.000 (0.010) +2025-02-04 03:29:01,371 - train: [ INFO] - Eval : 60 Time: 0.529 (0.529) Loss: 0.1466 (0.1466) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:29:04,424 - train: [ INFO] - Eval : 60 Time: 0.066 (0.090) Loss: 0.1867 (0.1556) Acc@1: 100.0000 (98.9200)Acc@5: 100.0000 (100.0000) +2025-02-04 03:29:05,563 - train: [ INFO] - Train: 61 [ 0/39 ( 0%)] Loss: 0.988259 (0.9883) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 178.69/s (0.716s, 178.69/s) LR: 2.133e-04 Data: 0.393 (0.393) +2025-02-04 03:29:16,153 - train: [ INFO] - Train: 61 [ 38/39 (100%)] Loss: 0.977190 (0.9827) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 480.60/s (0.290s, 441.99/s) LR: 2.133e-04 Data: 0.000 (0.010) +2025-02-04 03:29:16,969 - train: [ INFO] - Eval : 61 Time: 0.525 (0.525) Loss: 0.1858 (0.1858) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2025-02-04 03:29:20,100 - train: [ INFO] - Eval : 61 Time: 0.066 (0.091) Loss: 0.1826 (0.1685) Acc@1: 100.0000 (98.8400)Acc@5: 100.0000 (99.9600) +2025-02-04 03:29:21,205 - train: [ INFO] - Train: 62 [ 0/39 ( 0%)] Loss: 0.984124 (0.9841) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 174.84/s (0.732s, 174.84/s) LR: 2.043e-04 Data: 0.416 (0.416) +2025-02-04 03:29:31,746 - train: [ INFO] - Train: 62 [ 38/39 (100%)] Loss: 1.009198 (0.9967) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.268s, 478.23/s (0.289s, 443.28/s) LR: 2.043e-04 Data: 0.000 (0.011) +2025-02-04 03:29:32,565 - train: [ INFO] - Eval : 62 Time: 0.534 (0.534) Loss: 0.1525 (0.1525) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2025-02-04 03:29:35,682 - train: [ INFO] - Eval : 62 Time: 0.064 (0.091) Loss: 0.1115 (0.1631) Acc@1: 100.0000 (98.9000)Acc@5: 100.0000 (99.9400) +2025-02-04 03:29:36,838 - train: [ INFO] - Train: 63 [ 0/39 ( 0%)] Loss: 0.995636 (0.9956) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.768s, 166.75/s (0.768s, 166.75/s) LR: 1.954e-04 Data: 0.448 (0.448) +2025-02-04 03:29:47,356 - train: [ INFO] - Train: 63 [ 38/39 (100%)] Loss: 1.012916 (1.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 481.40/s (0.289s, 442.81/s) LR: 1.954e-04 Data: 0.000 (0.012) +2025-02-04 03:29:48,203 - train: [ INFO] - Eval : 63 Time: 0.546 (0.546) Loss: 0.1892 (0.1892) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:29:51,316 - train: [ INFO] - Eval : 63 Time: 0.065 (0.091) Loss: 0.1553 (0.1672) Acc@1: 100.0000 (98.9200)Acc@5: 100.0000 (99.9600) +2025-02-04 03:29:52,406 - train: [ INFO] - Train: 64 [ 0/39 ( 0%)] Loss: 0.987529 (0.9875) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 176.59/s (0.725s, 176.59/s) LR: 1.866e-04 Data: 0.402 (0.402) +2025-02-04 03:30:03,028 - train: [ INFO] - Train: 64 [ 38/39 (100%)] Loss: 1.042542 (1.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.269s, 475.34/s (0.291s, 440.38/s) LR: 1.866e-04 Data: 0.000 (0.011) +2025-02-04 03:30:03,875 - train: [ INFO] - Eval : 64 Time: 0.554 (0.554) Loss: 0.1735 (0.1735) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:30:06,978 - train: [ INFO] - Eval : 64 Time: 0.065 (0.091) Loss: 0.2163 (0.1701) Acc@1: 100.0000 (98.9600)Acc@5: 100.0000 (99.9800) +2025-02-04 03:30:08,104 - train: [ INFO] - Train: 65 [ 0/39 ( 0%)] Loss: 0.999040 (0.9990) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 174.74/s (0.733s, 174.74/s) LR: 1.779e-04 Data: 0.407 (0.407) +2025-02-04 03:30:18,608 - train: [ INFO] - Train: 65 [ 38/39 (100%)] Loss: 0.997308 (0.9982) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.267s, 478.58/s (0.288s, 444.73/s) LR: 1.779e-04 Data: 0.000 (0.011) +2025-02-04 03:30:19,488 - train: [ INFO] - Eval : 65 Time: 0.554 (0.554) Loss: 0.1815 (0.1815) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:30:22,595 - train: [ INFO] - Eval : 65 Time: 0.065 (0.092) Loss: 0.1437 (0.1646) Acc@1: 100.0000 (98.9600)Acc@5: 100.0000 (99.9800) +2025-02-04 03:30:23,678 - train: [ INFO] - Train: 66 [ 0/39 ( 0%)] Loss: 1.004832 (1.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.747s, 171.32/s (0.747s, 171.32/s) LR: 1.694e-04 Data: 0.422 (0.422) +2025-02-04 03:30:34,173 - train: [ INFO] - Train: 66 [ 38/39 (100%)] Loss: 1.010710 (1.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.269s, 474.98/s (0.288s, 444.53/s) LR: 1.694e-04 Data: 0.000 (0.011) +2025-02-04 03:30:34,986 - train: [ INFO] - Eval : 66 Time: 0.531 (0.531) Loss: 0.1647 (0.1647) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:30:38,085 - train: [ INFO] - Eval : 66 Time: 0.064 (0.091) Loss: 0.1037 (0.1653) Acc@1: 100.0000 (98.7400)Acc@5: 100.0000 (99.9600) +2025-02-04 03:30:39,218 - train: [ INFO] - Train: 67 [ 0/39 ( 0%)] Loss: 1.001951 (1.0020) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 176.11/s (0.727s, 176.11/s) LR: 1.610e-04 Data: 0.402 (0.402) +2025-02-04 03:30:49,868 - train: [ INFO] - Train: 67 [ 38/39 (100%)] Loss: 1.008653 (1.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.268s, 477.20/s (0.291s, 439.30/s) LR: 1.610e-04 Data: 0.000 (0.011) +2025-02-04 03:30:50,710 - train: [ INFO] - Eval : 67 Time: 0.534 (0.534) Loss: 0.1584 (0.1584) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:30:53,805 - train: [ INFO] - Eval : 67 Time: 0.065 (0.091) Loss: 0.1188 (0.1654) Acc@1: 100.0000 (98.8800)Acc@5: 100.0000 (100.0000) +2025-02-04 03:30:54,950 - train: [ INFO] - Train: 68 [ 0/39 ( 0%)] Loss: 1.002838 (1.0028) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 178.21/s (0.718s, 178.21/s) LR: 1.527e-04 Data: 0.399 (0.399) +2025-02-04 03:31:05,442 - train: [ INFO] - Train: 68 [ 38/39 (100%)] Loss: 1.066595 (1.0347) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.269s, 476.45/s (0.287s, 445.82/s) LR: 1.527e-04 Data: 0.000 (0.010) +2025-02-04 03:31:06,270 - train: [ INFO] - Eval : 68 Time: 0.536 (0.536) Loss: 0.1421 (0.1421) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:31:09,362 - train: [ INFO] - Eval : 68 Time: 0.065 (0.091) Loss: 0.1651 (0.1709) Acc@1: 100.0000 (98.9000)Acc@5: 100.0000 (99.9800) +2025-02-04 03:31:10,470 - train: [ INFO] - Train: 69 [ 0/39 ( 0%)] Loss: 1.006653 (1.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.747s, 171.44/s (0.747s, 171.44/s) LR: 1.447e-04 Data: 0.428 (0.428) +2025-02-04 03:31:20,997 - train: [ INFO] - Train: 69 [ 38/39 (100%)] Loss: 0.983558 (0.9951) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.70/s (0.289s, 443.35/s) LR: 1.447e-04 Data: 0.000 (0.011) +2025-02-04 03:31:21,859 - train: [ INFO] - Eval : 69 Time: 0.566 (0.566) Loss: 0.1938 (0.1938) Acc@1: 98.4375 (98.4375)Acc@5: 99.2188 (99.2188) +2025-02-04 03:31:24,964 - train: [ INFO] - Eval : 69 Time: 0.067 (0.092) Loss: 0.1037 (0.1658) Acc@1: 100.0000 (98.7600)Acc@5: 100.0000 (99.9600) +2025-02-04 03:31:26,068 - train: [ INFO] - Train: 70 [ 0/39 ( 0%)] Loss: 1.028994 (1.0290) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.752s, 170.26/s (0.752s, 170.26/s) LR: 1.368e-04 Data: 0.433 (0.433) +2025-02-04 03:31:36,566 - train: [ INFO] - Train: 70 [ 38/39 (100%)] Loss: 1.016754 (1.0229) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.268s, 477.43/s (0.288s, 444.36/s) LR: 1.368e-04 Data: 0.000 (0.011) +2025-02-04 03:31:37,439 - train: [ INFO] - Eval : 70 Time: 0.537 (0.537) Loss: 0.1717 (0.1717) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:31:40,503 - train: [ INFO] - Eval : 70 Time: 0.066 (0.090) Loss: 0.0835 (0.1612) Acc@1: 100.0000 (99.1200)Acc@5: 100.0000 (99.9800) +2025-02-04 03:31:41,589 - train: [ INFO] - Train: 71 [ 0/39 ( 0%)] Loss: 1.022555 (1.0226) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.740s, 173.03/s (0.740s, 173.03/s) LR: 1.290e-04 Data: 0.414 (0.414) +2025-02-04 03:31:52,232 - train: [ INFO] - Train: 71 [ 38/39 (100%)] Loss: 1.047954 (1.0353) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.52/s (0.292s, 439.11/s) LR: 1.290e-04 Data: 0.000 (0.011) +2025-02-04 03:31:53,060 - train: [ INFO] - Eval : 71 Time: 0.530 (0.530) Loss: 0.1495 (0.1495) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:31:56,145 - train: [ INFO] - Eval : 71 Time: 0.065 (0.090) Loss: 0.1372 (0.1506) Acc@1: 100.0000 (99.1600)Acc@5: 100.0000 (100.0000) +2025-02-04 03:31:57,209 - train: [ INFO] - Train: 72 [ 0/39 ( 0%)] Loss: 0.985077 (0.9851) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 178.04/s (0.719s, 178.04/s) LR: 1.215e-04 Data: 0.395 (0.395) +2025-02-04 03:32:07,721 - train: [ INFO] - Train: 72 [ 38/39 (100%)] Loss: 0.991399 (0.9882) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.269s, 476.06/s (0.288s, 445.09/s) LR: 1.215e-04 Data: 0.000 (0.010) +2025-02-04 03:32:08,552 - train: [ INFO] - Eval : 72 Time: 0.530 (0.530) Loss: 0.1513 (0.1513) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:32:11,665 - train: [ INFO] - Eval : 72 Time: 0.066 (0.091) Loss: 0.1593 (0.1583) Acc@1: 100.0000 (99.1000)Acc@5: 100.0000 (99.9800) +2025-02-04 03:32:12,708 - train: [ INFO] - Train: 73 [ 0/39 ( 0%)] Loss: 0.989747 (0.9897) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.713s, 179.42/s (0.713s, 179.42/s) LR: 1.141e-04 Data: 0.388 (0.388) +2025-02-04 03:32:23,187 - train: [ INFO] - Train: 73 [ 38/39 (100%)] Loss: 0.987341 (0.9885) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.22/s (0.287s, 446.57/s) LR: 1.141e-04 Data: 0.000 (0.010) +2025-02-04 03:32:23,939 - train: [ INFO] - Eval : 73 Time: 0.537 (0.537) Loss: 0.1942 (0.1942) Acc@1: 97.6562 (97.6562)Acc@5: 99.2188 (99.2188) +2025-02-04 03:32:27,023 - train: [ INFO] - Eval : 73 Time: 0.064 (0.091) Loss: 0.0968 (0.1584) Acc@1: 100.0000 (99.1600)Acc@5: 100.0000 (99.9800) +2025-02-04 03:32:28,143 - train: [ INFO] - Train: 74 [ 0/39 ( 0%)] Loss: 1.038943 (1.0389) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 175.24/s (0.730s, 175.24/s) LR: 1.070e-04 Data: 0.401 (0.401) +2025-02-04 03:32:38,756 - train: [ INFO] - Train: 74 [ 38/39 (100%)] Loss: 1.020778 (1.0299) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 480.03/s (0.291s, 440.62/s) LR: 1.070e-04 Data: 0.000 (0.010) +2025-02-04 03:32:39,560 - train: [ INFO] - Eval : 74 Time: 0.524 (0.524) Loss: 0.1470 (0.1470) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:32:42,648 - train: [ INFO] - Eval : 74 Time: 0.065 (0.090) Loss: 0.1734 (0.1568) Acc@1: 100.0000 (99.1400)Acc@5: 100.0000 (99.9600) +2025-02-04 03:32:43,766 - train: [ INFO] - Train: 75 [ 0/39 ( 0%)] Loss: 1.018448 (1.0184) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 175.61/s (0.729s, 175.61/s) LR: 1.001e-04 Data: 0.404 (0.404) +2025-02-04 03:32:54,250 - train: [ INFO] - Train: 75 [ 38/39 (100%)] Loss: 0.974809 (0.9966) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.265s, 482.65/s (0.287s, 445.78/s) LR: 1.001e-04 Data: 0.000 (0.011) +2025-02-04 03:32:55,100 - train: [ INFO] - Eval : 75 Time: 0.528 (0.528) Loss: 0.1745 (0.1745) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:32:58,179 - train: [ INFO] - Eval : 75 Time: 0.066 (0.090) Loss: 0.1286 (0.1544) Acc@1: 100.0000 (99.0800)Acc@5: 100.0000 (99.9600) +2025-02-04 03:32:59,307 - train: [ INFO] - Train: 76 [ 0/39 ( 0%)] Loss: 0.970045 (0.9700) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.738s, 173.45/s (0.738s, 173.45/s) LR: 9.334e-05 Data: 0.413 (0.413) +2025-02-04 03:33:09,789 - train: [ INFO] - Train: 76 [ 38/39 (100%)] Loss: 0.971172 (0.9706) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.16/s (0.287s, 445.50/s) LR: 9.334e-05 Data: 0.000 (0.011) +2025-02-04 03:33:10,540 - train: [ INFO] - Eval : 76 Time: 0.537 (0.537) Loss: 0.1694 (0.1694) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:33:13,630 - train: [ INFO] - Eval : 76 Time: 0.066 (0.091) Loss: 0.1297 (0.1569) Acc@1: 100.0000 (99.1000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:33:14,828 - train: [ INFO] - Train: 77 [ 0/39 ( 0%)] Loss: 0.974410 (0.9744) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.737s, 173.59/s (0.737s, 173.59/s) LR: 8.684e-05 Data: 0.413 (0.413) +2025-02-04 03:33:25,320 - train: [ INFO] - Train: 77 [ 38/39 (100%)] Loss: 0.983238 (0.9788) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.268s, 476.91/s (0.288s, 445.15/s) LR: 8.684e-05 Data: 0.000 (0.011) +2025-02-04 03:33:26,200 - train: [ INFO] - Eval : 77 Time: 0.538 (0.538) Loss: 0.1309 (0.1309) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:33:29,310 - train: [ INFO] - Eval : 77 Time: 0.066 (0.091) Loss: 0.0843 (0.1555) Acc@1: 100.0000 (99.1400)Acc@5: 100.0000 (99.9600) +2025-02-04 03:33:30,497 - train: [ INFO] - Train: 78 [ 0/39 ( 0%)] Loss: 1.011010 (1.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.850s, 150.64/s (0.850s, 150.64/s) LR: 8.057e-05 Data: 0.522 (0.522) +2025-02-04 03:33:40,979 - train: [ INFO] - Train: 78 [ 38/39 (100%)] Loss: 0.997674 (1.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 480.42/s (0.290s, 441.10/s) LR: 8.057e-05 Data: 0.000 (0.014) +2025-02-04 03:33:41,796 - train: [ INFO] - Eval : 78 Time: 0.538 (0.538) Loss: 0.1646 (0.1646) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:33:44,847 - train: [ INFO] - Eval : 78 Time: 0.065 (0.090) Loss: 0.1590 (0.1531) Acc@1: 100.0000 (99.1800)Acc@5: 100.0000 (100.0000) +2025-02-04 03:33:46,012 - train: [ INFO] - Train: 79 [ 0/39 ( 0%)] Loss: 0.997556 (0.9976) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 174.90/s (0.732s, 174.90/s) LR: 7.453e-05 Data: 0.406 (0.406) +2025-02-04 03:33:56,471 - train: [ INFO] - Train: 79 [ 38/39 (100%)] Loss: 1.004491 (1.0010) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 480.70/s (0.287s, 446.65/s) LR: 7.453e-05 Data: 0.000 (0.011) +2025-02-04 03:33:57,318 - train: [ INFO] - Eval : 79 Time: 0.537 (0.537) Loss: 0.1948 (0.1948) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2025-02-04 03:34:00,391 - train: [ INFO] - Eval : 79 Time: 0.064 (0.090) Loss: 0.1286 (0.1576) Acc@1: 100.0000 (99.1200)Acc@5: 100.0000 (100.0000) +2025-02-04 03:34:01,542 - train: [ INFO] - Train: 80 [ 0/39 ( 0%)] Loss: 0.987590 (0.9876) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 174.31/s (0.734s, 174.31/s) LR: 6.873e-05 Data: 0.406 (0.406) +2025-02-04 03:34:11,980 - train: [ INFO] - Train: 80 [ 38/39 (100%)] Loss: 0.990174 (0.9889) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 481.95/s (0.286s, 447.44/s) LR: 6.873e-05 Data: 0.000 (0.011) +2025-02-04 03:34:12,826 - train: [ INFO] - Eval : 80 Time: 0.529 (0.529) Loss: 0.1774 (0.1774) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2025-02-04 03:34:15,883 - train: [ INFO] - Eval : 80 Time: 0.065 (0.090) Loss: 0.0915 (0.1527) Acc@1: 100.0000 (99.0400)Acc@5: 100.0000 (100.0000) +2025-02-04 03:34:16,920 - train: [ INFO] - Train: 81 [ 0/39 ( 0%)] Loss: 0.984029 (0.9840) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 177.61/s (0.721s, 177.61/s) LR: 6.317e-05 Data: 0.390 (0.390) +2025-02-04 03:34:27,471 - train: [ INFO] - Train: 81 [ 38/39 (100%)] Loss: 0.970127 (0.9771) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.55/s (0.289s, 443.45/s) LR: 6.317e-05 Data: 0.000 (0.010) +2025-02-04 03:34:28,294 - train: [ INFO] - Eval : 81 Time: 0.536 (0.536) Loss: 0.1474 (0.1474) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:34:31,350 - train: [ INFO] - Eval : 81 Time: 0.066 (0.090) Loss: 0.1146 (0.1544) Acc@1: 100.0000 (99.2000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:34:31,769 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-81.pth.tar', 99.2) + +2025-02-04 03:34:32,499 - train: [ INFO] - Train: 82 [ 0/39 ( 0%)] Loss: 0.976189 (0.9762) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 178.15/s (0.718s, 178.15/s) LR: 5.787e-05 Data: 0.403 (0.403) +2025-02-04 03:34:42,973 - train: [ INFO] - Train: 82 [ 38/39 (100%)] Loss: 1.052230 (1.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.268s, 477.22/s (0.287s, 446.61/s) LR: 5.787e-05 Data: 0.000 (0.011) +2025-02-04 03:34:43,770 - train: [ INFO] - Eval : 82 Time: 0.511 (0.511) Loss: 0.1395 (0.1395) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:34:46,827 - train: [ INFO] - Eval : 82 Time: 0.065 (0.089) Loss: 0.1111 (0.1546) Acc@1: 100.0000 (99.1800)Acc@5: 100.0000 (99.9800) +2025-02-04 03:34:47,901 - train: [ INFO] - Train: 83 [ 0/39 ( 0%)] Loss: 1.045650 (1.0457) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.713s, 179.60/s (0.713s, 179.60/s) LR: 5.282e-05 Data: 0.391 (0.391) +2025-02-04 03:34:58,376 - train: [ INFO] - Train: 83 [ 38/39 (100%)] Loss: 1.027735 (1.0367) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.51/s (0.286s, 446.81/s) LR: 5.282e-05 Data: 0.000 (0.010) +2025-02-04 03:34:59,197 - train: [ INFO] - Eval : 83 Time: 0.514 (0.514) Loss: 0.1470 (0.1470) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:35:02,227 - train: [ INFO] - Eval : 83 Time: 0.066 (0.089) Loss: 0.1327 (0.1518) Acc@1: 100.0000 (99.2000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:35:03,292 - train: [ INFO] - Train: 84 [ 0/39 ( 0%)] Loss: 0.979232 (0.9792) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.711s, 179.91/s (0.711s, 179.91/s) LR: 4.804e-05 Data: 0.390 (0.390) +2025-02-04 03:35:13,857 - train: [ INFO] - Train: 84 [ 38/39 (100%)] Loss: 0.966969 (0.9731) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 481.46/s (0.289s, 443.33/s) LR: 4.804e-05 Data: 0.000 (0.010) +2025-02-04 03:35:14,638 - train: [ INFO] - Eval : 84 Time: 0.524 (0.524) Loss: 0.1705 (0.1705) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:35:17,707 - train: [ INFO] - Eval : 84 Time: 0.065 (0.090) Loss: 0.1249 (0.1544) Acc@1: 100.0000 (99.0400)Acc@5: 100.0000 (100.0000) +2025-02-04 03:35:18,767 - train: [ INFO] - Train: 85 [ 0/39 ( 0%)] Loss: 1.003442 (1.0034) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 178.15/s (0.718s, 178.15/s) LR: 4.352e-05 Data: 0.405 (0.405) +2025-02-04 03:35:29,209 - train: [ INFO] - Train: 85 [ 38/39 (100%)] Loss: 1.001717 (1.0026) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 481.42/s (0.286s, 447.91/s) LR: 4.352e-05 Data: 0.000 (0.011) +2025-02-04 03:35:30,045 - train: [ INFO] - Eval : 85 Time: 0.526 (0.526) Loss: 0.1268 (0.1268) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:35:33,089 - train: [ INFO] - Eval : 85 Time: 0.066 (0.089) Loss: 0.1469 (0.1509) Acc@1: 100.0000 (99.2200)Acc@5: 100.0000 (100.0000) +2025-02-04 03:35:33,540 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-85.pth.tar', 99.22) + +2025-02-04 03:35:34,264 - train: [ INFO] - Train: 86 [ 0/39 ( 0%)] Loss: 0.971235 (0.9712) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.710s, 180.19/s (0.710s, 180.19/s) LR: 3.927e-05 Data: 0.386 (0.386) +2025-02-04 03:35:44,721 - train: [ INFO] - Train: 86 [ 38/39 (100%)] Loss: 1.026371 (0.9988) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.43/s (0.286s, 447.60/s) LR: 3.927e-05 Data: 0.000 (0.010) +2025-02-04 03:35:45,527 - train: [ INFO] - Eval : 86 Time: 0.517 (0.517) Loss: 0.1675 (0.1675) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:35:48,564 - train: [ INFO] - Eval : 86 Time: 0.064 (0.089) Loss: 0.0798 (0.1546) Acc@1: 100.0000 (99.2400)Acc@5: 100.0000 (100.0000) +2025-02-04 03:35:48,951 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-86.pth.tar', 99.24) + +2025-02-04 03:35:49,674 - train: [ INFO] - Train: 87 [ 0/39 ( 0%)] Loss: 1.013913 (1.0139) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.712s, 179.75/s (0.712s, 179.75/s) LR: 3.529e-05 Data: 0.390 (0.390) +2025-02-04 03:36:00,136 - train: [ INFO] - Train: 87 [ 38/39 (100%)] Loss: 0.994928 (1.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 480.89/s (0.286s, 447.36/s) LR: 3.529e-05 Data: 0.000 (0.010) +2025-02-04 03:36:00,949 - train: [ INFO] - Eval : 87 Time: 0.520 (0.520) Loss: 0.1486 (0.1486) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:36:04,002 - train: [ INFO] - Eval : 87 Time: 0.064 (0.089) Loss: 0.1364 (0.1540) Acc@1: 100.0000 (99.2400)Acc@5: 100.0000 (99.9800) +2025-02-04 03:36:05,237 - train: [ INFO] - Train: 88 [ 0/39 ( 0%)] Loss: 0.978704 (0.9787) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.844s, 151.61/s (0.844s, 151.61/s) LR: 3.159e-05 Data: 0.518 (0.518) +2025-02-04 03:36:15,682 - train: [ INFO] - Train: 88 [ 38/39 (100%)] Loss: 1.029940 (1.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.67/s (0.289s, 442.79/s) LR: 3.159e-05 Data: 0.000 (0.014) +2025-02-04 03:36:16,484 - train: [ INFO] - Eval : 88 Time: 0.527 (0.527) Loss: 0.1569 (0.1569) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:36:19,444 - train: [ INFO] - Eval : 88 Time: 0.065 (0.087) Loss: 0.2779 (0.1542) Acc@1: 87.5000 (99.2400)Acc@5: 100.0000 (99.9800) +2025-02-04 03:36:20,581 - train: [ INFO] - Train: 89 [ 0/39 ( 0%)] Loss: 0.977324 (0.9773) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 175.75/s (0.728s, 175.75/s) LR: 2.818e-05 Data: 0.406 (0.406) +2025-02-04 03:36:31,022 - train: [ INFO] - Train: 89 [ 38/39 (100%)] Loss: 0.965696 (0.9715) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 480.91/s (0.286s, 447.50/s) LR: 2.818e-05 Data: 0.000 (0.011) +2025-02-04 03:36:31,800 - train: [ INFO] - Eval : 89 Time: 0.534 (0.534) Loss: 0.1530 (0.1530) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:36:34,838 - train: [ INFO] - Eval : 89 Time: 0.064 (0.089) Loss: 0.0959 (0.1546) Acc@1: 100.0000 (99.2400)Acc@5: 100.0000 (99.9800) +2025-02-04 03:36:35,852 - train: [ INFO] - Train: 90 [ 0/39 ( 0%)] Loss: 1.003028 (1.0030) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 177.83/s (0.720s, 177.83/s) LR: 2.505e-05 Data: 0.395 (0.395) +2025-02-04 03:36:46,292 - train: [ INFO] - Train: 90 [ 38/39 (100%)] Loss: 0.968702 (0.9859) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 480.35/s (0.286s, 447.91/s) LR: 2.505e-05 Data: 0.000 (0.010) +2025-02-04 03:36:47,122 - train: [ INFO] - Eval : 90 Time: 0.517 (0.517) Loss: 0.1523 (0.1523) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:36:50,154 - train: [ INFO] - Eval : 90 Time: 0.064 (0.089) Loss: 0.1355 (0.1518) Acc@1: 100.0000 (99.2200)Acc@5: 100.0000 (100.0000) +2025-02-04 03:36:51,201 - train: [ INFO] - Train: 91 [ 0/39 ( 0%)] Loss: 1.014357 (1.0144) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 176.45/s (0.725s, 176.45/s) LR: 2.221e-05 Data: 0.411 (0.411) +2025-02-04 03:37:01,739 - train: [ INFO] - Train: 91 [ 38/39 (100%)] Loss: 0.987747 (1.0011) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 481.59/s (0.288s, 443.80/s) LR: 2.221e-05 Data: 0.000 (0.011) +2025-02-04 03:37:02,533 - train: [ INFO] - Eval : 91 Time: 0.521 (0.521) Loss: 0.1501 (0.1501) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:37:05,554 - train: [ INFO] - Eval : 91 Time: 0.065 (0.089) Loss: 0.1405 (0.1519) Acc@1: 100.0000 (99.2800)Acc@5: 100.0000 (100.0000) +2025-02-04 03:37:05,950 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/checkpoint-91.pth.tar', 99.28) + +2025-02-04 03:37:06,688 - train: [ INFO] - Train: 92 [ 0/39 ( 0%)] Loss: 1.008177 (1.0082) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 176.29/s (0.726s, 176.29/s) LR: 1.966e-05 Data: 0.410 (0.410) +2025-02-04 03:37:17,091 - train: [ INFO] - Train: 92 [ 38/39 (100%)] Loss: 0.991027 (0.9996) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 480.55/s (0.285s, 449.15/s) LR: 1.966e-05 Data: 0.000 (0.011) +2025-02-04 03:37:17,884 - train: [ INFO] - Eval : 92 Time: 0.516 (0.516) Loss: 0.1537 (0.1537) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:37:20,898 - train: [ INFO] - Eval : 92 Time: 0.064 (0.088) Loss: 0.1309 (0.1538) Acc@1: 100.0000 (99.2400)Acc@5: 100.0000 (100.0000) +2025-02-04 03:37:21,967 - train: [ INFO] - Train: 93 [ 0/39 ( 0%)] Loss: 1.001999 (1.0020) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 177.75/s (0.720s, 177.75/s) LR: 1.741e-05 Data: 0.402 (0.402) +2025-02-04 03:37:32,367 - train: [ INFO] - Train: 93 [ 38/39 (100%)] Loss: 0.983747 (0.9929) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.265s, 482.22/s (0.285s, 449.53/s) LR: 1.741e-05 Data: 0.000 (0.011) +2025-02-04 03:37:33,185 - train: [ INFO] - Eval : 93 Time: 0.522 (0.522) Loss: 0.1398 (0.1398) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:37:36,222 - train: [ INFO] - Eval : 93 Time: 0.065 (0.089) Loss: 0.0955 (0.1541) Acc@1: 100.0000 (99.1800)Acc@5: 100.0000 (99.9800) +2025-02-04 03:37:37,322 - train: [ INFO] - Train: 94 [ 0/39 ( 0%)] Loss: 1.029664 (1.0297) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.715s, 178.97/s (0.715s, 178.97/s) LR: 1.545e-05 Data: 0.392 (0.392) +2025-02-04 03:37:47,905 - train: [ INFO] - Train: 94 [ 38/39 (100%)] Loss: 0.995454 (1.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.265s, 483.28/s (0.289s, 442.44/s) LR: 1.545e-05 Data: 0.000 (0.010) +2025-02-04 03:37:48,754 - train: [ INFO] - Eval : 94 Time: 0.520 (0.520) Loss: 0.1754 (0.1754) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:37:51,782 - train: [ INFO] - Eval : 94 Time: 0.065 (0.089) Loss: 0.1520 (0.1537) Acc@1: 100.0000 (99.2400)Acc@5: 100.0000 (100.0000) +2025-02-04 03:37:52,889 - train: [ INFO] - Train: 95 [ 0/39 ( 0%)] Loss: 0.980388 (0.9804) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 177.42/s (0.721s, 177.42/s) LR: 1.379e-05 Data: 0.397 (0.397) +2025-02-04 03:38:03,320 - train: [ INFO] - Train: 95 [ 38/39 (100%)] Loss: 0.991619 (0.9860) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.267s, 479.25/s (0.286s, 448.25/s) LR: 1.379e-05 Data: 0.000 (0.010) +2025-02-04 03:38:04,166 - train: [ INFO] - Eval : 95 Time: 0.528 (0.528) Loss: 0.1422 (0.1422) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:38:07,203 - train: [ INFO] - Eval : 95 Time: 0.065 (0.089) Loss: 0.1618 (0.1549) Acc@1: 100.0000 (99.2000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:38:08,295 - train: [ INFO] - Train: 96 [ 0/39 ( 0%)] Loss: 0.983552 (0.9836) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.708s, 180.83/s (0.708s, 180.83/s) LR: 1.242e-05 Data: 0.388 (0.388) +2025-02-04 03:38:18,723 - train: [ INFO] - Train: 96 [ 38/39 (100%)] Loss: 1.014709 (0.9991) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 481.87/s (0.285s, 448.89/s) LR: 1.242e-05 Data: 0.000 (0.010) +2025-02-04 03:38:19,455 - train: [ INFO] - Eval : 96 Time: 0.525 (0.525) Loss: 0.1747 (0.1747) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:38:22,408 - train: [ INFO] - Eval : 96 Time: 0.065 (0.087) Loss: 0.0965 (0.1543) Acc@1: 100.0000 (99.1400)Acc@5: 100.0000 (100.0000) +2025-02-04 03:38:23,525 - train: [ INFO] - Train: 97 [ 0/39 ( 0%)] Loss: 0.972999 (0.9730) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.705s, 181.50/s (0.705s, 181.50/s) LR: 1.136e-05 Data: 0.382 (0.382) +2025-02-04 03:38:33,950 - train: [ INFO] - Train: 97 [ 38/39 (100%)] Loss: 0.981588 (0.9773) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 480.51/s (0.285s, 449.08/s) LR: 1.136e-05 Data: 0.000 (0.010) +2025-02-04 03:38:34,677 - train: [ INFO] - Eval : 97 Time: 0.523 (0.523) Loss: 0.1632 (0.1632) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2025-02-04 03:38:37,725 - train: [ INFO] - Eval : 97 Time: 0.065 (0.089) Loss: 0.1670 (0.1531) Acc@1: 100.0000 (99.1600)Acc@5: 100.0000 (99.9800) +2025-02-04 03:38:38,912 - train: [ INFO] - Train: 98 [ 0/39 ( 0%)] Loss: 0.981169 (0.9812) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.713s, 179.63/s (0.713s, 179.63/s) LR: 1.061e-05 Data: 0.391 (0.391) +2025-02-04 03:38:49,302 - train: [ INFO] - Train: 98 [ 38/39 (100%)] Loss: 1.008003 (0.9946) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.266s, 480.85/s (0.284s, 450.25/s) LR: 1.061e-05 Data: 0.000 (0.010) +2025-02-04 03:38:50,163 - train: [ INFO] - Eval : 98 Time: 0.524 (0.524) Loss: 0.1534 (0.1534) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2025-02-04 03:38:53,192 - train: [ INFO] - Eval : 98 Time: 0.065 (0.089) Loss: 0.2706 (0.1547) Acc@1: 100.0000 (99.1800)Acc@5: 100.0000 (100.0000) +2025-02-04 03:38:54,289 - train: [ INFO] - Train: 99 [ 0/39 ( 0%)] Loss: 0.979549 (0.9795) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 177.21/s (0.722s, 177.21/s) LR: 1.015e-05 Data: 0.407 (0.407) +2025-02-04 03:39:04,662 - train: [ INFO] - Train: 99 [ 38/39 (100%)] Loss: 0.995348 (0.9874) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.264s, 484.99/s (0.284s, 450.50/s) LR: 1.015e-05 Data: 0.000 (0.011) +2025-02-04 03:39:05,420 - train: [ INFO] - Eval : 99 Time: 0.525 (0.525) Loss: 0.1472 (0.1472) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2025-02-04 03:39:08,420 - train: [ INFO] - Eval : 99 Time: 0.064 (0.088) Loss: 0.2644 (0.1534) Acc@1: 100.0000 (99.1800)Acc@5: 100.0000 (100.0000) +2025-02-04 03:39:08,926 - train: [ INFO] - *** Best metric: 99.28 (epoch 91) diff --git a/AVspikformer-AVmnistdvs-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_64-LIFNode-16/model_best.pth.tar 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--- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/args.yaml @@ -0,0 +1,156 @@ +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptation_info: false +adaptive_node: false +alpha: 1.0 +amp: false +apex_amp: false +attn_method: CMCI +aug_splits: 0 +batch_size: 128 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +contrastive: false +conv_type: normal +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cross_attn: true +cut_mix: false +cutmix: 0.0 +cutmix_beta: 2.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +dataset: CREMAD +decay_epochs: 30 +decay_rate: 0.1 +device: 0 +dist_bn: '' +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +embed_dims: 256 +encode: direct +epochs: 100 +eval: false +eval_checkpoint: '' +eval_metric: top1 +event_mix: false +event_size: 48 +gaussian_n: 3 +gp: null +hflip: 0.5 +img_size: 224 +initial_checkpoint: '' +interaction: Add +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: false +load_avmodel: false +local_rank: 0 +log_interval: 50 +loss_fn: ce +lr: 0.005 +lr_cycle_limit: 1 +lr_cycle_mul: 1.0 +lr_noise: null +lr_noise_pct: 0.67 +lr_noise_std: 1.0 +mean: null +mem_dist: false +min_lr: 1.0e-05 +mix_up: false +mixup: 0.0 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 0.0 +mixup_switch_prob: 0.5 +modality: audio-visual +model: AVspikformer +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_encode_type: linear +n_groups: 1 +n_preact: false +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +node_resume: '' +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 6 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: ./exp_results +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +rand_step: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 42 +sew_cnf: ADD +shallow_sps: false +sigmoid_thres: false +smoothing: 0.1 +snr: -100 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 4 +suffix: '' +sync_bn: false +tau: 2.0 +temperature: 0.1 +temporal_flatten: false +tensorboard_dir: ./exp_results +tet_loss: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.9 +tsne: false +tta: 0 +use_multi_epochs_loader: false +validation_batch_size_multiplier: 1 +vflip: 0.0 +visualize: false +warmup_epochs: 5 +warmup_lr: 1.0e-06 +weight_decay: 0.0001 +workers: 8 diff --git 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b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea3a50355a89a913fbe6723733755f1ce328c740 --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/log.txt @@ -0,0 +1,545 @@ +2024-12-26 14:22:03,179 - train: [ INFO] - Training with a single process on 1 GPUs. +2024-12-26 14:22:04,709 - train: [ INFO] - learning rate is 0.000625 +2024-12-26 14:22:07,607 - train: [ INFO] - AMP not enabled. Training in float32. +2024-12-26 14:22:07,610 - train: [ INFO] - Scheduled epochs: 110 +2024-12-26 14:22:21,920 - train: [ INFO] - Train: 0 [ 0/52 ( 0%)] Loss: 5.372070 (5.3721) Acc@1: 22.6562 (22.6562) Acc@5: 81.2500 (81.2500) Time: 14.298s, 8.95/s (14.298s, 8.95/s) LR: 1.000e-06 Data: 11.221 (11.221) +2024-12-26 14:22:54,811 - train: [ INFO] - Train: 0 [ 50/52 ( 98%)] Loss: 5.364797 (5.3684) Acc@1: 21.0938 (21.8750) Acc@5: 85.1562 (83.2031) Time: 0.383s, 333.97/s (0.924s, 138.48/s) LR: 1.000e-06 Data: 0.000 (0.493) +2024-12-26 14:22:55,190 - train: [ INFO] - Train: 0 [ 51/52 (100%)] Loss: 5.389173 (5.3753) Acc@1: 17.9688 (20.5729) Acc@5: 83.5938 (83.3333) Time: 0.376s, 340.42/s (0.914s, 140.07/s) LR: 1.000e-06 Data: 0.000 (0.484) +2024-12-26 14:22:59,943 - train: [ INFO] - Eval : 0 Time: 4.649 (4.649) Loss: 1.7918 (1.7918) Acc@1: 17.9688 (17.9688)Acc@5: 88.2812 (88.2812) +2024-12-26 14:23:00,719 - train: [ INFO] - Eval : 0 Time: 0.141 (0.904) Loss: 1.7918 (1.7918) Acc@1: 18.2692 (19.6237)Acc@5: 79.8077 (83.3333) +2024-12-26 14:23:03,886 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-0.pth.tar', 19.62365605754237) + +2024-12-26 14:23:07,861 - train: [ INFO] - Train: 1 [ 0/52 ( 0%)] Loss: 5.363626 (5.3636) Acc@1: 27.3438 (27.3438) Acc@5: 85.9375 (85.9375) Time: 3.810s, 33.60/s (3.810s, 33.60/s) LR: 1.258e-04 Data: 3.365 (3.365) +2024-12-26 14:23:26,751 - train: [ INFO] - Train: 1 [ 50/52 ( 98%)] Loss: 5.075735 (5.2197) Acc@1: 21.0938 (24.2188) Acc@5: 89.0625 (87.5000) Time: 0.370s, 345.60/s (0.444s, 288.32/s) LR: 1.258e-04 Data: 0.000 (0.067) +2024-12-26 14:23:27,130 - train: [ INFO] - Train: 1 [ 51/52 (100%)] Loss: 5.044806 (5.1614) Acc@1: 28.1250 (25.5208) Acc@5: 92.9688 (89.3229) Time: 0.375s, 341.19/s (0.443s, 289.18/s) LR: 1.258e-04 Data: 0.000 (0.066) +2024-12-26 14:23:28,781 - train: [ INFO] - Eval : 1 Time: 1.465 (1.465) Loss: 1.6977 (1.6977) Acc@1: 25.0000 (25.0000)Acc@5: 94.5312 (94.5312) +2024-12-26 14:23:29,483 - train: [ INFO] - Eval : 1 Time: 0.129 (0.361) Loss: 1.6914 (1.7015) Acc@1: 27.8846 (29.3011)Acc@5: 91.3462 (93.5484) +2024-12-26 14:23:31,119 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-1.pth.tar', 29.301075473908455) + +2024-12-26 14:23:34,591 - train: [ INFO] - Train: 2 [ 0/52 ( 0%)] Loss: 5.037118 (5.0371) Acc@1: 28.1250 (28.1250) Acc@5: 96.0938 (96.0938) Time: 3.392s, 37.74/s (3.392s, 37.74/s) LR: 2.506e-04 Data: 2.974 (2.974) +2024-12-26 14:23:53,355 - train: [ INFO] - Train: 2 [ 50/52 ( 98%)] Loss: 4.922416 (4.9798) Acc@1: 30.4688 (29.2969) Acc@5: 98.4375 (97.2656) Time: 0.364s, 351.54/s (0.433s, 295.29/s) LR: 2.506e-04 Data: 0.000 (0.059) +2024-12-26 14:23:53,727 - train: [ INFO] - Train: 2 [ 51/52 (100%)] Loss: 4.926470 (4.9620) Acc@1: 34.3750 (30.9896) Acc@5: 96.8750 (97.1354) Time: 0.369s, 346.81/s (0.432s, 296.13/s) LR: 2.506e-04 Data: 0.000 (0.058) +2024-12-26 14:23:55,196 - train: [ INFO] - Eval : 2 Time: 1.300 (1.300) Loss: 1.6708 (1.6708) Acc@1: 28.1250 (28.1250)Acc@5: 94.5312 (94.5312) +2024-12-26 14:23:55,908 - train: [ INFO] - Eval : 2 Time: 0.147 (0.335) Loss: 1.6702 (1.7193) Acc@1: 27.8846 (23.9247)Acc@5: 95.1923 (92.8763) +2024-12-26 14:23:59,092 - train: [ INFO] - Train: 3 [ 0/52 ( 0%)] Loss: 4.990621 (4.9906) Acc@1: 33.5938 (33.5938) Acc@5: 95.3125 (95.3125) Time: 2.376s, 53.87/s (2.376s, 53.87/s) LR: 3.754e-04 Data: 1.965 (1.965) +2024-12-26 14:24:17,960 - train: [ INFO] - Train: 3 [ 50/52 ( 98%)] Loss: 4.644837 (4.8177) Acc@1: 48.4375 (41.0156) Acc@5: 98.4375 (96.8750) Time: 0.372s, 343.71/s (0.416s, 308.05/s) LR: 3.754e-04 Data: 0.000 (0.040) +2024-12-26 14:24:18,329 - train: [ INFO] - Train: 3 [ 51/52 (100%)] Loss: 4.805532 (4.8137) Acc@1: 40.6250 (40.8854) Acc@5: 96.8750 (96.8750) Time: 0.366s, 349.61/s (0.415s, 308.76/s) LR: 3.754e-04 Data: 0.000 (0.039) +2024-12-26 14:24:19,644 - train: [ INFO] - Eval : 3 Time: 1.180 (1.180) Loss: 1.3892 (1.3892) Acc@1: 41.4062 (41.4062)Acc@5: 100.0000 (100.0000) +2024-12-26 14:24:20,361 - train: [ INFO] - Eval : 3 Time: 0.131 (0.316) Loss: 1.4042 (1.4124) Acc@1: 43.2692 (40.8602)Acc@5: 98.0769 (99.0591) +2024-12-26 14:24:21,148 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-3.pth.tar', 40.86021546394594) + +2024-12-26 14:24:23,834 - train: [ INFO] - Train: 4 [ 0/52 ( 0%)] Loss: 4.766292 (4.7663) Acc@1: 40.6250 (40.6250) Acc@5: 96.8750 (96.8750) Time: 2.626s, 48.74/s (2.626s, 48.74/s) LR: 5.002e-04 Data: 2.166 (2.166) +2024-12-26 14:24:42,703 - train: [ INFO] - Train: 4 [ 50/52 ( 98%)] Loss: 4.731627 (4.7490) Acc@1: 40.6250 (40.6250) Acc@5: 99.2188 (98.0469) Time: 0.367s, 348.86/s (0.421s, 304.23/s) LR: 5.002e-04 Data: 0.000 (0.044) +2024-12-26 14:24:43,121 - train: [ INFO] - Train: 4 [ 51/52 (100%)] Loss: 4.610913 (4.7029) Acc@1: 52.3438 (44.5312) Acc@5: 98.4375 (98.1771) Time: 0.414s, 309.46/s (0.421s, 304.33/s) LR: 5.002e-04 Data: 0.000 (0.043) +2024-12-26 14:24:44,782 - train: [ INFO] - Eval : 4 Time: 1.503 (1.503) Loss: 1.4811 (1.4811) Acc@1: 39.8438 (39.8438)Acc@5: 96.8750 (96.8750) +2024-12-26 14:24:45,541 - train: [ INFO] - Eval : 4 Time: 0.131 (0.377) Loss: 1.3396 (1.4039) Acc@1: 52.8846 (44.4892)Acc@5: 98.0769 (98.6559) +2024-12-26 14:24:46,446 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-4.pth.tar', 44.48924751691921) + +2024-12-26 14:24:48,655 - train: [ INFO] - Train: 5 [ 0/52 ( 0%)] Loss: 4.566813 (4.5668) Acc@1: 53.1250 (53.1250) Acc@5: 98.4375 (98.4375) Time: 2.147s, 59.62/s (2.147s, 59.62/s) LR: 6.212e-04 Data: 1.703 (1.703) +2024-12-26 14:25:07,488 - train: [ INFO] - Train: 5 [ 50/52 ( 98%)] Loss: 4.796112 (4.6815) Acc@1: 37.5000 (45.3125) Acc@5: 99.2188 (98.8281) Time: 0.370s, 345.95/s (0.410s, 311.98/s) LR: 6.212e-04 Data: 0.000 (0.034) +2024-12-26 14:25:07,859 - train: [ INFO] - Train: 5 [ 51/52 (100%)] Loss: 4.414275 (4.5924) Acc@1: 53.1250 (47.9167) Acc@5: 100.0000 (99.2188) Time: 0.368s, 347.78/s (0.409s, 312.60/s) LR: 6.212e-04 Data: 0.000 (0.034) +2024-12-26 14:25:09,238 - train: [ INFO] - Eval : 5 Time: 1.224 (1.224) Loss: 1.4227 (1.4227) Acc@1: 45.3125 (45.3125)Acc@5: 98.4375 (98.4375) +2024-12-26 14:25:09,948 - train: [ INFO] - Eval : 5 Time: 0.135 (0.322) Loss: 1.3526 (1.4147) Acc@1: 46.1538 (44.6237)Acc@5: 99.0385 (98.5215) +2024-12-26 14:25:10,571 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-5.pth.tar', 44.623655996014996) + +2024-12-26 14:25:12,297 - train: [ INFO] - Train: 6 [ 0/52 ( 0%)] Loss: 4.492587 (4.4926) Acc@1: 53.9062 (53.9062) Acc@5: 98.4375 (98.4375) Time: 1.712s, 74.75/s (1.712s, 74.75/s) LR: 6.196e-04 Data: 1.283 (1.283) +2024-12-26 14:25:31,131 - train: [ INFO] - Train: 6 [ 50/52 ( 98%)] Loss: 4.663747 (4.5782) Acc@1: 42.9688 (48.4375) Acc@5: 97.6562 (98.0469) Time: 0.368s, 347.80/s (0.402s, 318.56/s) LR: 6.196e-04 Data: 0.000 (0.026) +2024-12-26 14:25:31,534 - train: [ INFO] - Train: 6 [ 51/52 (100%)] Loss: 4.587623 (4.5813) Acc@1: 47.6562 (48.1771) Acc@5: 97.6562 (97.9167) Time: 0.393s, 325.81/s (0.402s, 318.70/s) LR: 6.196e-04 Data: 0.000 (0.026) +2024-12-26 14:25:32,974 - train: [ INFO] - Eval : 6 Time: 1.278 (1.278) Loss: 1.6368 (1.6368) Acc@1: 35.9375 (35.9375)Acc@5: 88.2812 (88.2812) +2024-12-26 14:25:33,699 - train: [ INFO] - Eval : 6 Time: 0.136 (0.334) Loss: 1.6262 (1.5181) Acc@1: 41.3462 (40.4570)Acc@5: 92.3077 (92.2043) +2024-12-26 14:25:35,741 - train: [ INFO] - Train: 7 [ 0/52 ( 0%)] Loss: 4.303936 (4.3039) Acc@1: 54.6875 (54.6875) Acc@5: 97.6562 (97.6562) Time: 1.407s, 90.98/s (1.407s, 90.98/s) LR: 6.176e-04 Data: 1.033 (1.033) +2024-12-26 14:25:54,716 - train: [ INFO] - Train: 7 [ 50/52 ( 98%)] Loss: 4.365476 (4.3347) Acc@1: 59.3750 (57.0312) Acc@5: 100.0000 (98.8281) Time: 0.367s, 348.42/s (0.398s, 321.38/s) LR: 6.176e-04 Data: 0.000 (0.022) +2024-12-26 14:25:55,096 - train: [ INFO] - Train: 7 [ 51/52 (100%)] Loss: 4.268490 (4.3126) Acc@1: 62.5000 (58.8542) Acc@5: 97.6562 (98.4375) Time: 0.376s, 340.18/s (0.398s, 321.72/s) LR: 6.176e-04 Data: 0.000 (0.021) +2024-12-26 14:25:57,677 - train: [ INFO] - Eval : 7 Time: 2.338 (2.338) Loss: 1.2306 (1.2306) Acc@1: 48.4375 (48.4375)Acc@5: 99.2188 (99.2188) +2024-12-26 14:25:58,423 - train: [ INFO] - Eval : 7 Time: 0.130 (0.514) Loss: 1.3466 (1.2593) Acc@1: 42.3077 (51.0753)Acc@5: 100.0000 (98.9247) +2024-12-26 14:25:59,123 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-7.pth.tar', 51.075268981277304) + +2024-12-26 14:26:00,797 - train: [ INFO] - Train: 8 [ 0/52 ( 0%)] Loss: 4.241153 (4.2412) Acc@1: 58.5938 (58.5938) Acc@5: 99.2188 (99.2188) Time: 1.656s, 77.28/s (1.656s, 77.28/s) LR: 6.153e-04 Data: 1.239 (1.239) +2024-12-26 14:26:19,644 - train: [ INFO] - Train: 8 [ 50/52 ( 98%)] Loss: 4.278304 (4.2597) Acc@1: 54.6875 (56.6406) Acc@5: 98.4375 (98.8281) Time: 0.372s, 343.91/s (0.401s, 319.59/s) LR: 6.153e-04 Data: 0.000 (0.025) +2024-12-26 14:26:20,019 - train: [ INFO] - Train: 8 [ 51/52 (100%)] Loss: 4.430202 (4.3166) Acc@1: 51.5625 (54.9479) Acc@5: 97.6562 (98.4375) Time: 0.372s, 343.92/s (0.400s, 320.02/s) LR: 6.153e-04 Data: 0.000 (0.025) +2024-12-26 14:26:21,383 - train: [ INFO] - Eval : 8 Time: 1.223 (1.223) Loss: 1.1161 (1.1161) Acc@1: 58.5938 (58.5938)Acc@5: 99.2188 (99.2188) +2024-12-26 14:26:22,092 - train: [ INFO] - Eval : 8 Time: 0.132 (0.322) Loss: 1.2069 (1.1951) Acc@1: 50.9615 (53.0914)Acc@5: 100.0000 (99.3280) +2024-12-26 14:26:22,747 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-8.pth.tar', 53.09139809557187) + +2024-12-26 14:26:25,529 - train: [ INFO] - Train: 9 [ 0/52 ( 0%)] Loss: 4.328541 (4.3285) Acc@1: 58.5938 (58.5938) Acc@5: 100.0000 (100.0000) Time: 2.766s, 46.28/s (2.766s, 46.28/s) LR: 6.128e-04 Data: 2.323 (2.323) +2024-12-26 14:26:44,567 - train: [ INFO] - Train: 9 [ 50/52 ( 98%)] Loss: 4.026980 (4.1778) Acc@1: 64.0625 (61.3281) Acc@5: 100.0000 (100.0000) Time: 0.373s, 343.44/s (0.426s, 300.13/s) LR: 6.128e-04 Data: 0.000 (0.047) +2024-12-26 14:26:44,949 - train: [ INFO] - Train: 9 [ 51/52 (100%)] Loss: 4.229095 (4.1949) Acc@1: 63.2812 (61.9792) Acc@5: 99.2188 (99.7396) Time: 0.379s, 337.92/s (0.426s, 300.78/s) LR: 6.128e-04 Data: 0.000 (0.046) +2024-12-26 14:26:46,438 - train: [ INFO] - Eval : 9 Time: 1.283 (1.283) Loss: 1.6353 (1.6353) Acc@1: 37.5000 (37.5000)Acc@5: 95.3125 (95.3125) +2024-12-26 14:26:47,195 - train: [ INFO] - Eval : 9 Time: 0.146 (0.340) Loss: 1.6287 (1.6042) Acc@1: 39.4231 (40.7258)Acc@5: 95.1923 (95.0269) +2024-12-26 14:26:49,194 - train: [ INFO] - Train: 10 [ 0/52 ( 0%)] Loss: 3.929571 (3.9296) Acc@1: 66.4062 (66.4062) Acc@5: 100.0000 (100.0000) Time: 1.357s, 94.32/s (1.357s, 94.32/s) LR: 6.099e-04 Data: 0.956 (0.956) +2024-12-26 14:27:08,125 - train: [ INFO] - Train: 10 [ 50/52 ( 98%)] Loss: 4.135930 (4.0328) Acc@1: 64.0625 (65.2344) Acc@5: 98.4375 (99.2188) Time: 0.374s, 342.43/s (0.397s, 322.32/s) LR: 6.099e-04 Data: 0.000 (0.020) +2024-12-26 14:27:08,504 - train: [ INFO] - Train: 10 [ 51/52 (100%)] Loss: 4.292341 (4.1193) Acc@1: 53.9062 (61.4583) Acc@5: 97.6562 (98.6979) Time: 0.375s, 341.01/s (0.397s, 322.66/s) LR: 6.099e-04 Data: 0.000 (0.019) +2024-12-26 14:27:09,977 - train: [ INFO] - Eval : 10 Time: 1.320 (1.320) Loss: 2.4516 (2.4516) Acc@1: 24.2188 (24.2188)Acc@5: 99.2188 (99.2188) +2024-12-26 14:27:10,730 - train: [ INFO] - Eval : 10 Time: 0.133 (0.346) Loss: 2.5409 (2.4889) Acc@1: 27.8846 (25.4032)Acc@5: 100.0000 (99.3280) +2024-12-26 14:27:12,793 - train: [ INFO] - Train: 11 [ 0/52 ( 0%)] Loss: 4.170207 (4.1702) Acc@1: 64.8438 (64.8438) Acc@5: 99.2188 (99.2188) Time: 1.423s, 89.97/s (1.423s, 89.97/s) LR: 6.068e-04 Data: 1.030 (1.030) +2024-12-26 14:27:31,685 - train: [ INFO] - Train: 11 [ 50/52 ( 98%)] Loss: 4.202603 (4.1864) Acc@1: 60.9375 (62.8906) Acc@5: 98.4375 (98.8281) Time: 0.366s, 349.78/s (0.397s, 322.10/s) LR: 6.068e-04 Data: 0.000 (0.022) +2024-12-26 14:27:32,058 - train: [ INFO] - Train: 11 [ 51/52 (100%)] Loss: 4.166478 (4.1798) Acc@1: 61.7188 (62.5000) Acc@5: 99.2188 (98.9583) Time: 0.370s, 345.83/s (0.397s, 322.52/s) LR: 6.068e-04 Data: 0.000 (0.021) +2024-12-26 14:27:33,585 - train: [ INFO] - Eval : 11 Time: 1.325 (1.325) Loss: 1.2536 (1.2536) Acc@1: 50.0000 (50.0000)Acc@5: 96.0938 (96.0938) +2024-12-26 14:27:34,308 - train: [ INFO] - Eval : 11 Time: 0.135 (0.341) Loss: 1.3182 (1.2344) Acc@1: 48.0769 (51.8817)Acc@5: 99.0385 (98.3871) +2024-12-26 14:27:36,598 - train: [ INFO] - Train: 12 [ 0/52 ( 0%)] Loss: 4.116534 (4.1165) Acc@1: 64.8438 (64.8438) Acc@5: 99.2188 (99.2188) Time: 1.624s, 78.83/s (1.624s, 78.83/s) LR: 6.034e-04 Data: 1.186 (1.186) +2024-12-26 14:27:55,442 - train: [ INFO] - Train: 12 [ 50/52 ( 98%)] Loss: 3.967952 (4.0422) Acc@1: 64.0625 (64.4531) Acc@5: 99.2188 (99.2188) Time: 0.367s, 348.66/s (0.400s, 319.93/s) LR: 6.034e-04 Data: 0.000 (0.024) +2024-12-26 14:27:55,809 - train: [ INFO] - Train: 12 [ 51/52 (100%)] Loss: 4.005407 (4.0300) Acc@1: 65.6250 (64.8438) Acc@5: 98.4375 (98.9583) Time: 0.364s, 351.71/s (0.399s, 320.49/s) LR: 6.034e-04 Data: 0.000 (0.024) +2024-12-26 14:27:58,084 - train: [ INFO] - Eval : 12 Time: 2.110 (2.110) Loss: 1.7417 (1.7417) Acc@1: 34.3750 (34.3750)Acc@5: 96.0938 (96.0938) +2024-12-26 14:27:58,782 - train: [ INFO] - Eval : 12 Time: 0.113 (0.468) Loss: 1.7371 (1.7571) Acc@1: 32.6923 (35.4839)Acc@5: 99.0385 (97.0430) +2024-12-26 14:28:00,987 - train: [ INFO] - Train: 13 [ 0/52 ( 0%)] Loss: 4.015423 (4.0154) Acc@1: 64.0625 (64.0625) Acc@5: 100.0000 (100.0000) Time: 1.538s, 83.20/s (1.538s, 83.20/s) LR: 5.997e-04 Data: 1.107 (1.107) +2024-12-26 14:28:19,939 - train: [ INFO] - Train: 13 [ 50/52 ( 98%)] Loss: 4.057930 (4.0367) Acc@1: 61.7188 (62.8906) Acc@5: 98.4375 (99.2188) Time: 0.366s, 350.06/s (0.400s, 319.79/s) LR: 5.997e-04 Data: 0.000 (0.023) +2024-12-26 14:28:20,307 - train: [ INFO] - Train: 13 [ 51/52 (100%)] Loss: 3.974523 (4.0160) Acc@1: 69.5312 (65.1042) Acc@5: 98.4375 (98.9583) Time: 0.365s, 350.38/s (0.400s, 320.33/s) LR: 5.997e-04 Data: 0.000 (0.022) +2024-12-26 14:28:22,621 - train: [ INFO] - Eval : 13 Time: 2.177 (2.177) Loss: 1.9536 (1.9536) Acc@1: 33.5938 (33.5938)Acc@5: 97.6562 (97.6562) +2024-12-26 14:28:23,360 - train: [ INFO] - Eval : 13 Time: 0.138 (0.486) Loss: 1.8660 (1.9531) Acc@1: 33.6538 (34.2742)Acc@5: 96.1538 (95.5645) +2024-12-26 14:28:25,439 - train: [ INFO] - Train: 14 [ 0/52 ( 0%)] Loss: 3.866202 (3.8662) Acc@1: 66.4062 (66.4062) Acc@5: 98.4375 (98.4375) Time: 1.463s, 87.52/s (1.463s, 87.52/s) LR: 5.957e-04 Data: 1.082 (1.082) +2024-12-26 14:28:44,346 - train: [ INFO] - Train: 14 [ 50/52 ( 98%)] Loss: 3.867477 (3.8668) Acc@1: 67.1875 (66.7969) Acc@5: 100.0000 (99.2188) Time: 0.376s, 340.66/s (0.399s, 320.99/s) LR: 5.957e-04 Data: 0.000 (0.022) +2024-12-26 14:28:44,766 - train: [ INFO] - Train: 14 [ 51/52 (100%)] Loss: 3.945135 (3.8929) Acc@1: 67.9688 (67.1875) Acc@5: 97.6562 (98.6979) Time: 0.417s, 307.11/s (0.399s, 320.71/s) LR: 5.957e-04 Data: 0.000 (0.022) +2024-12-26 14:28:47,620 - train: [ INFO] - Eval : 14 Time: 2.710 (2.710) Loss: 1.4053 (1.4053) Acc@1: 50.0000 (50.0000)Acc@5: 94.5312 (94.5312) +2024-12-26 14:28:48,328 - train: [ INFO] - Eval : 14 Time: 0.132 (0.570) Loss: 1.5256 (1.5852) Acc@1: 47.1154 (44.2204)Acc@5: 94.2308 (93.1452) +2024-12-26 14:28:50,796 - train: [ INFO] - Train: 15 [ 0/52 ( 0%)] Loss: 3.821663 (3.8217) Acc@1: 75.0000 (75.0000) Acc@5: 100.0000 (100.0000) Time: 1.837s, 69.68/s (1.837s, 69.68/s) LR: 5.915e-04 Data: 1.402 (1.402) +2024-12-26 14:29:09,822 - train: [ INFO] - Train: 15 [ 50/52 ( 98%)] Loss: 3.827011 (3.8243) Acc@1: 67.9688 (71.4844) Acc@5: 100.0000 (100.0000) Time: 0.369s, 347.05/s (0.408s, 313.74/s) LR: 5.915e-04 Data: 0.000 (0.029) +2024-12-26 14:29:10,191 - train: [ INFO] - Train: 15 [ 51/52 (100%)] Loss: 3.829955 (3.8262) Acc@1: 68.7500 (70.5729) Acc@5: 98.4375 (99.4792) Time: 0.366s, 349.76/s (0.407s, 314.37/s) LR: 5.915e-04 Data: 0.000 (0.028) +2024-12-26 14:29:11,855 - train: [ INFO] - Eval : 15 Time: 1.438 (1.438) Loss: 1.1626 (1.1626) Acc@1: 54.6875 (54.6875)Acc@5: 99.2188 (99.2188) +2024-12-26 14:29:12,584 - train: [ INFO] - Eval : 15 Time: 0.148 (0.361) Loss: 1.0196 (1.1689) Acc@1: 62.5000 (54.8387)Acc@5: 99.0385 (98.5215) +2024-12-26 14:29:14,176 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-15.pth.tar', 54.83871021065661) + +2024-12-26 14:29:16,412 - train: [ INFO] - Train: 16 [ 0/52 ( 0%)] Loss: 3.618762 (3.6188) Acc@1: 75.0000 (75.0000) Acc@5: 99.2188 (99.2188) Time: 2.087s, 61.32/s (2.087s, 61.32/s) LR: 5.870e-04 Data: 1.638 (1.638) +2024-12-26 14:29:35,461 - train: [ INFO] - Train: 16 [ 50/52 ( 98%)] Loss: 3.919176 (3.7690) Acc@1: 67.1875 (71.0938) Acc@5: 99.2188 (99.2188) Time: 0.386s, 331.43/s (0.413s, 309.95/s) LR: 5.870e-04 Data: 0.000 (0.033) +2024-12-26 14:29:35,844 - train: [ INFO] - Train: 16 [ 51/52 (100%)] Loss: 4.013532 (3.8505) Acc@1: 65.6250 (69.2708) Acc@5: 99.2188 (99.2188) Time: 0.380s, 336.66/s (0.412s, 310.42/s) LR: 5.870e-04 Data: 0.000 (0.033) +2024-12-26 14:29:37,302 - train: [ INFO] - Eval : 16 Time: 1.277 (1.277) Loss: 1.9797 (1.9797) Acc@1: 29.6875 (29.6875)Acc@5: 99.2188 (99.2188) +2024-12-26 14:29:38,029 - train: [ INFO] - Eval : 16 Time: 0.140 (0.334) Loss: 2.0219 (1.9874) Acc@1: 25.9615 (31.1828)Acc@5: 98.0769 (97.3118) +2024-12-26 14:29:40,404 - train: [ INFO] - Train: 17 [ 0/52 ( 0%)] Loss: 4.018641 (4.0186) Acc@1: 61.7188 (61.7188) Acc@5: 99.2188 (99.2188) Time: 1.726s, 74.14/s (1.726s, 74.14/s) LR: 5.822e-04 Data: 1.296 (1.296) +2024-12-26 14:29:59,280 - train: [ INFO] - Train: 17 [ 50/52 ( 98%)] Loss: 3.658542 (3.8386) Acc@1: 72.6562 (67.1875) Acc@5: 100.0000 (99.6094) Time: 0.369s, 346.64/s (0.403s, 317.68/s) LR: 5.822e-04 Data: 0.000 (0.027) +2024-12-26 14:29:59,655 - train: [ INFO] - Train: 17 [ 51/52 (100%)] Loss: 3.838559 (3.8386) Acc@1: 66.4062 (66.9271) Acc@5: 99.2188 (99.4792) Time: 0.366s, 349.68/s (0.402s, 318.24/s) LR: 5.822e-04 Data: 0.000 (0.026) +2024-12-26 14:30:01,216 - train: [ INFO] - Eval : 17 Time: 1.323 (1.323) Loss: 1.6156 (1.6156) Acc@1: 39.0625 (39.0625)Acc@5: 93.7500 (93.7500) +2024-12-26 14:30:01,960 - train: [ INFO] - Eval : 17 Time: 0.141 (0.345) Loss: 1.4462 (1.3887) Acc@1: 46.1538 (46.7742)Acc@5: 99.0385 (96.9086) +2024-12-26 14:30:04,161 - train: [ INFO] - Train: 18 [ 0/52 ( 0%)] Loss: 3.674849 (3.6748) Acc@1: 75.0000 (75.0000) Acc@5: 100.0000 (100.0000) Time: 1.557s, 82.22/s (1.557s, 82.22/s) LR: 5.771e-04 Data: 1.173 (1.173) +2024-12-26 14:30:22,979 - train: [ INFO] - Train: 18 [ 50/52 ( 98%)] Loss: 3.551982 (3.6134) Acc@1: 76.5625 (75.7812) Acc@5: 99.2188 (99.6094) Time: 0.366s, 349.82/s (0.399s, 321.10/s) LR: 5.771e-04 Data: 0.000 (0.025) +2024-12-26 14:30:23,351 - train: [ INFO] - Train: 18 [ 51/52 (100%)] Loss: 3.762459 (3.6631) Acc@1: 73.4375 (75.0000) Acc@5: 100.0000 (99.7396) Time: 0.369s, 346.58/s (0.398s, 321.56/s) LR: 5.771e-04 Data: 0.000 (0.024) +2024-12-26 14:30:24,840 - train: [ INFO] - Eval : 18 Time: 1.317 (1.317) Loss: 1.1119 (1.1119) Acc@1: 57.0312 (57.0312)Acc@5: 100.0000 (100.0000) +2024-12-26 14:30:25,550 - train: [ INFO] - Eval : 18 Time: 0.136 (0.338) Loss: 1.2353 (1.1785) Acc@1: 46.1538 (54.0323)Acc@5: 100.0000 (99.5968) +2024-12-26 14:30:27,625 - train: [ INFO] - Train: 19 [ 0/52 ( 0%)] Loss: 3.851476 (3.8515) Acc@1: 68.7500 (68.7500) Acc@5: 98.4375 (98.4375) Time: 1.434s, 89.25/s (1.434s, 89.25/s) LR: 5.718e-04 Data: 1.052 (1.052) +2024-12-26 14:30:46,500 - train: [ INFO] - Train: 19 [ 50/52 ( 98%)] Loss: 3.465008 (3.6582) Acc@1: 75.0000 (71.8750) Acc@5: 100.0000 (99.2188) Time: 0.376s, 340.71/s (0.397s, 322.15/s) LR: 5.718e-04 Data: 0.000 (0.022) +2024-12-26 14:30:46,894 - train: [ INFO] - Train: 19 [ 51/52 (100%)] Loss: 3.732441 (3.6830) Acc@1: 73.4375 (72.3958) Acc@5: 99.2188 (99.2188) Time: 0.368s, 347.83/s (0.397s, 322.61/s) LR: 5.718e-04 Data: 0.000 (0.021) +2024-12-26 14:30:48,461 - train: [ INFO] - Eval : 19 Time: 1.399 (1.399) Loss: 0.9558 (0.9558) Acc@1: 66.4062 (66.4062)Acc@5: 98.4375 (98.4375) +2024-12-26 14:30:49,172 - train: [ INFO] - Eval : 19 Time: 0.133 (0.352) Loss: 0.9204 (1.0397) Acc@1: 62.5000 (61.4247)Acc@5: 100.0000 (98.6559) +2024-12-26 14:30:49,898 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-19.pth.tar', 61.42473171603295) + +2024-12-26 14:30:51,669 - train: [ INFO] - Train: 20 [ 0/52 ( 0%)] Loss: 3.524010 (3.5240) Acc@1: 77.3438 (77.3438) Acc@5: 99.2188 (99.2188) Time: 1.756s, 72.88/s (1.756s, 72.88/s) LR: 5.663e-04 Data: 1.292 (1.292) +2024-12-26 14:31:10,435 - train: [ INFO] - Train: 20 [ 50/52 ( 98%)] Loss: 3.620220 (3.5721) Acc@1: 74.2188 (75.7812) Acc@5: 100.0000 (99.6094) Time: 0.367s, 348.92/s (0.402s, 318.63/s) LR: 5.663e-04 Data: 0.000 (0.026) +2024-12-26 14:31:10,808 - train: [ INFO] - Train: 20 [ 51/52 (100%)] Loss: 3.563344 (3.5692) Acc@1: 77.3438 (76.3021) Acc@5: 99.2188 (99.4792) Time: 0.370s, 345.66/s (0.401s, 319.11/s) LR: 5.663e-04 Data: 0.000 (0.026) +2024-12-26 14:31:12,783 - train: [ INFO] - Eval : 20 Time: 1.779 (1.779) Loss: 0.9395 (0.9395) Acc@1: 63.2812 (63.2812)Acc@5: 100.0000 (100.0000) +2024-12-26 14:31:13,507 - train: [ INFO] - Eval : 20 Time: 0.130 (0.417) Loss: 0.9352 (0.9770) Acc@1: 62.5000 (64.2473)Acc@5: 100.0000 (99.3280) +2024-12-26 14:31:14,608 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-20.pth.tar', 64.24731236119425) + +2024-12-26 14:31:16,228 - train: [ INFO] - Train: 21 [ 0/52 ( 0%)] Loss: 3.532015 (3.5320) Acc@1: 78.1250 (78.1250) Acc@5: 99.2188 (99.2188) Time: 1.600s, 80.02/s (1.600s, 80.02/s) LR: 5.605e-04 Data: 1.159 (1.159) +2024-12-26 14:31:35,036 - train: [ INFO] - Train: 21 [ 50/52 ( 98%)] Loss: 3.632047 (3.5820) Acc@1: 75.7812 (76.9531) Acc@5: 100.0000 (99.6094) Time: 0.370s, 345.98/s (0.399s, 320.95/s) LR: 5.605e-04 Data: 0.000 (0.024) +2024-12-26 14:31:35,429 - train: [ INFO] - Train: 21 [ 51/52 (100%)] Loss: 3.567554 (3.5772) Acc@1: 75.7812 (76.5625) Acc@5: 100.0000 (99.7396) Time: 0.372s, 344.15/s (0.398s, 321.36/s) LR: 5.605e-04 Data: 0.000 (0.023) +2024-12-26 14:31:38,209 - train: [ INFO] - Eval : 21 Time: 2.626 (2.626) Loss: 1.1084 (1.1084) Acc@1: 62.5000 (62.5000)Acc@5: 97.6562 (97.6562) +2024-12-26 14:31:38,936 - train: [ INFO] - Eval : 21 Time: 0.132 (0.559) Loss: 1.0078 (1.1255) Acc@1: 65.3846 (59.6774)Acc@5: 95.1923 (96.6398) +2024-12-26 14:31:42,127 - train: [ INFO] - Train: 22 [ 0/52 ( 0%)] Loss: 3.370920 (3.3709) Acc@1: 81.2500 (81.2500) Acc@5: 99.2188 (99.2188) Time: 2.486s, 51.49/s (2.486s, 51.49/s) LR: 5.544e-04 Data: 2.072 (2.072) +2024-12-26 14:32:01,056 - train: [ INFO] - Train: 22 [ 50/52 ( 98%)] Loss: 3.532451 (3.4517) Acc@1: 78.9062 (80.0781) Acc@5: 99.2188 (99.2188) Time: 0.371s, 344.85/s (0.418s, 306.12/s) LR: 5.544e-04 Data: 0.000 (0.042) +2024-12-26 14:32:01,446 - train: [ INFO] - Train: 22 [ 51/52 (100%)] Loss: 3.533006 (3.4788) Acc@1: 75.0000 (78.3854) Acc@5: 99.2188 (99.2188) Time: 0.371s, 344.80/s (0.417s, 306.78/s) LR: 5.544e-04 Data: 0.000 (0.041) +2024-12-26 14:32:04,696 - train: [ INFO] - Eval : 22 Time: 3.076 (3.076) Loss: 1.2598 (1.2598) Acc@1: 53.9062 (53.9062)Acc@5: 96.8750 (96.8750) +2024-12-26 14:32:05,405 - train: [ INFO] - Eval : 22 Time: 0.146 (0.631) Loss: 1.2093 (1.1667) Acc@1: 59.6154 (59.6774)Acc@5: 99.0385 (97.8495) +2024-12-26 14:32:08,942 - train: [ INFO] - Train: 23 [ 0/52 ( 0%)] Loss: 3.458423 (3.4584) Acc@1: 77.3438 (77.3438) Acc@5: 99.2188 (99.2188) Time: 2.830s, 45.23/s (2.830s, 45.23/s) LR: 5.482e-04 Data: 2.412 (2.412) +2024-12-26 14:32:27,778 - train: [ INFO] - Train: 23 [ 50/52 ( 98%)] Loss: 3.248317 (3.3534) Acc@1: 85.1562 (81.2500) Acc@5: 100.0000 (99.6094) Time: 0.367s, 348.58/s (0.424s, 302.13/s) LR: 5.482e-04 Data: 0.000 (0.048) +2024-12-26 14:32:28,149 - train: [ INFO] - Train: 23 [ 51/52 (100%)] Loss: 3.294311 (3.3337) Acc@1: 85.1562 (82.5521) Acc@5: 100.0000 (99.7396) Time: 0.368s, 347.42/s (0.423s, 302.89/s) LR: 5.482e-04 Data: 0.000 (0.047) +2024-12-26 14:32:29,905 - train: [ INFO] - Eval : 23 Time: 1.576 (1.576) Loss: 1.4861 (1.4861) Acc@1: 43.7500 (43.7500)Acc@5: 93.7500 (93.7500) +2024-12-26 14:32:30,625 - train: [ INFO] - Eval : 23 Time: 0.136 (0.383) Loss: 1.3044 (1.3492) Acc@1: 43.2692 (50.5376)Acc@5: 98.0769 (95.6989) +2024-12-26 14:32:34,379 - train: [ INFO] - Train: 24 [ 0/52 ( 0%)] Loss: 3.100357 (3.1004) Acc@1: 89.8438 (89.8438) Acc@5: 100.0000 (100.0000) Time: 2.664s, 48.06/s (2.664s, 48.06/s) LR: 5.417e-04 Data: 2.256 (2.256) +2024-12-26 14:32:53,155 - train: [ INFO] - Train: 24 [ 50/52 ( 98%)] Loss: 3.338876 (3.2196) Acc@1: 83.5938 (86.7188) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.38/s (0.420s, 305.01/s) LR: 5.417e-04 Data: 0.000 (0.045) +2024-12-26 14:32:53,526 - train: [ INFO] - Train: 24 [ 51/52 (100%)] Loss: 3.283898 (3.2410) Acc@1: 85.9375 (86.4583) Acc@5: 100.0000 (100.0000) Time: 0.369s, 347.09/s (0.419s, 305.72/s) LR: 5.417e-04 Data: 0.000 (0.044) +2024-12-26 14:32:54,881 - train: [ INFO] - Eval : 24 Time: 1.205 (1.205) Loss: 0.9815 (0.9815) Acc@1: 68.7500 (68.7500)Acc@5: 96.0938 (96.0938) +2024-12-26 14:32:55,614 - train: [ INFO] - Eval : 24 Time: 0.135 (0.323) Loss: 1.1909 (1.1795) Acc@1: 63.4615 (61.5591)Acc@5: 96.1538 (95.6989) +2024-12-26 14:32:58,924 - train: [ INFO] - Train: 25 [ 0/52 ( 0%)] Loss: 3.284420 (3.2844) Acc@1: 82.0312 (82.0312) Acc@5: 99.2188 (99.2188) Time: 2.682s, 47.72/s (2.682s, 47.72/s) LR: 5.349e-04 Data: 2.220 (2.220) +2024-12-26 14:33:17,759 - train: [ INFO] - Train: 25 [ 50/52 ( 98%)] Loss: 3.432183 (3.3583) Acc@1: 82.0312 (82.0312) Acc@5: 99.2188 (99.2188) Time: 0.369s, 346.67/s (0.421s, 303.98/s) LR: 5.349e-04 Data: 0.000 (0.045) +2024-12-26 14:33:18,129 - train: [ INFO] - Train: 25 [ 51/52 (100%)] Loss: 3.289123 (3.3352) Acc@1: 82.0312 (82.0312) Acc@5: 100.0000 (99.4792) Time: 0.367s, 348.68/s (0.420s, 304.73/s) LR: 5.349e-04 Data: 0.000 (0.044) +2024-12-26 14:33:19,580 - train: [ INFO] - Eval : 25 Time: 1.272 (1.272) Loss: 0.9375 (0.9375) Acc@1: 64.0625 (64.0625)Acc@5: 98.4375 (98.4375) +2024-12-26 14:33:20,364 - train: [ INFO] - Eval : 25 Time: 0.130 (0.343) Loss: 1.1238 (1.0987) Acc@1: 60.5769 (62.5000)Acc@5: 98.0769 (97.9839) +2024-12-26 14:33:23,211 - train: [ INFO] - Train: 26 [ 0/52 ( 0%)] Loss: 3.400525 (3.4005) Acc@1: 79.6875 (79.6875) Acc@5: 98.4375 (98.4375) Time: 2.056s, 62.27/s (2.056s, 62.27/s) LR: 5.280e-04 Data: 1.651 (1.651) +2024-12-26 14:33:42,067 - train: [ INFO] - Train: 26 [ 50/52 ( 98%)] Loss: 3.196225 (3.2984) Acc@1: 82.0312 (80.8594) Acc@5: 100.0000 (99.2188) Time: 0.377s, 339.50/s (0.409s, 312.89/s) LR: 5.280e-04 Data: 0.000 (0.033) +2024-12-26 14:33:42,441 - train: [ INFO] - Train: 26 [ 51/52 (100%)] Loss: 3.241643 (3.2795) Acc@1: 84.3750 (82.0312) Acc@5: 99.2188 (99.2188) Time: 0.367s, 349.13/s (0.408s, 313.52/s) LR: 5.280e-04 Data: 0.000 (0.033) +2024-12-26 14:33:44,677 - train: [ INFO] - Eval : 26 Time: 2.087 (2.087) Loss: 1.1838 (1.1838) Acc@1: 58.5938 (58.5938)Acc@5: 97.6562 (97.6562) +2024-12-26 14:33:45,403 - train: [ INFO] - Eval : 26 Time: 0.141 (0.469) Loss: 1.1660 (1.2434) Acc@1: 62.5000 (58.0645)Acc@5: 98.0769 (96.7742) +2024-12-26 14:33:48,314 - train: [ INFO] - Train: 27 [ 0/52 ( 0%)] Loss: 3.216944 (3.2169) Acc@1: 81.2500 (81.2500) Acc@5: 100.0000 (100.0000) Time: 2.120s, 60.38/s (2.120s, 60.38/s) LR: 5.209e-04 Data: 1.691 (1.691) +2024-12-26 14:34:07,228 - train: [ INFO] - Train: 27 [ 50/52 ( 98%)] Loss: 3.183317 (3.2001) Acc@1: 84.3750 (82.8125) Acc@5: 100.0000 (100.0000) Time: 0.371s, 345.46/s (0.412s, 310.90/s) LR: 5.209e-04 Data: 0.000 (0.034) +2024-12-26 14:34:07,598 - train: [ INFO] - Train: 27 [ 51/52 (100%)] Loss: 3.252534 (3.2176) Acc@1: 80.4688 (82.0312) Acc@5: 100.0000 (100.0000) Time: 0.368s, 348.21/s (0.411s, 311.55/s) LR: 5.209e-04 Data: 0.000 (0.034) +2024-12-26 14:34:09,224 - train: [ INFO] - Eval : 27 Time: 1.482 (1.482) Loss: 0.9833 (0.9833) Acc@1: 60.1562 (60.1562)Acc@5: 97.6562 (97.6562) +2024-12-26 14:34:09,944 - train: [ INFO] - Eval : 27 Time: 0.137 (0.367) Loss: 0.9157 (0.9357) Acc@1: 69.2308 (64.9194)Acc@5: 100.0000 (98.6559) +2024-12-26 14:34:10,674 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-27.pth.tar', 64.91935549500168) + +2024-12-26 14:34:12,593 - train: [ INFO] - Train: 28 [ 0/52 ( 0%)] Loss: 3.178950 (3.1790) Acc@1: 85.1562 (85.1562) Acc@5: 100.0000 (100.0000) Time: 1.841s, 69.52/s (1.841s, 69.52/s) LR: 5.135e-04 Data: 1.397 (1.397) +2024-12-26 14:34:31,445 - train: [ INFO] - Train: 28 [ 50/52 ( 98%)] Loss: 3.275193 (3.2271) Acc@1: 75.7812 (80.4688) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.63/s (0.405s, 316.05/s) LR: 5.135e-04 Data: 0.000 (0.029) +2024-12-26 14:34:31,812 - train: [ INFO] - Train: 28 [ 51/52 (100%)] Loss: 3.158134 (3.2041) Acc@1: 85.9375 (82.2917) Acc@5: 100.0000 (100.0000) Time: 0.365s, 350.92/s (0.404s, 316.66/s) LR: 5.135e-04 Data: 0.000 (0.028) +2024-12-26 14:34:33,782 - train: [ INFO] - Eval : 28 Time: 1.761 (1.761) Loss: 1.5967 (1.5967) Acc@1: 50.0000 (50.0000)Acc@5: 96.0938 (96.0938) +2024-12-26 14:34:34,517 - train: [ INFO] - Eval : 28 Time: 0.130 (0.416) Loss: 1.4024 (1.5297) Acc@1: 62.5000 (53.8978)Acc@5: 90.3846 (93.0108) +2024-12-26 14:34:37,257 - train: [ INFO] - Train: 29 [ 0/52 ( 0%)] Loss: 3.198862 (3.1989) Acc@1: 85.9375 (85.9375) Acc@5: 100.0000 (100.0000) Time: 2.024s, 63.23/s (2.024s, 63.23/s) LR: 5.060e-04 Data: 1.622 (1.622) +2024-12-26 14:34:56,207 - train: [ INFO] - Train: 29 [ 50/52 ( 98%)] Loss: 3.060426 (3.1296) Acc@1: 86.7188 (86.3281) Acc@5: 100.0000 (100.0000) Time: 0.370s, 345.55/s (0.411s, 311.76/s) LR: 5.060e-04 Data: 0.000 (0.033) +2024-12-26 14:34:56,606 - train: [ INFO] - Train: 29 [ 51/52 (100%)] Loss: 3.070705 (3.1100) Acc@1: 85.9375 (86.1979) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.62/s (0.410s, 312.26/s) LR: 5.060e-04 Data: 0.000 (0.032) +2024-12-26 14:34:58,624 - train: [ INFO] - Eval : 29 Time: 1.862 (1.862) Loss: 0.9404 (0.9404) Acc@1: 65.6250 (65.6250)Acc@5: 98.4375 (98.4375) +2024-12-26 14:34:59,356 - train: [ INFO] - Eval : 29 Time: 0.134 (0.432) Loss: 0.9774 (0.9220) Acc@1: 59.6154 (66.3978)Acc@5: 98.0769 (98.7903) +2024-12-26 14:35:00,093 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-29.pth.tar', 66.39784979051159) + +2024-12-26 14:35:02,057 - train: [ INFO] - Train: 30 [ 0/52 ( 0%)] Loss: 3.047910 (3.0479) Acc@1: 85.9375 (85.9375) Acc@5: 100.0000 (100.0000) Time: 1.950s, 65.63/s (1.950s, 65.63/s) LR: 4.982e-04 Data: 1.518 (1.518) +2024-12-26 14:35:20,880 - train: [ INFO] - Train: 30 [ 50/52 ( 98%)] Loss: 3.122941 (3.0854) Acc@1: 83.5938 (84.7656) Acc@5: 100.0000 (100.0000) Time: 0.380s, 337.23/s (0.406s, 315.04/s) LR: 4.982e-04 Data: 0.000 (0.031) +2024-12-26 14:35:21,274 - train: [ INFO] - Train: 30 [ 51/52 (100%)] Loss: 3.171692 (3.1142) Acc@1: 81.2500 (83.5938) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.69/s (0.406s, 315.59/s) LR: 4.982e-04 Data: 0.000 (0.030) +2024-12-26 14:35:23,298 - train: [ INFO] - Eval : 30 Time: 1.854 (1.854) Loss: 1.8309 (1.8309) Acc@1: 47.6562 (47.6562)Acc@5: 98.4375 (98.4375) +2024-12-26 14:35:24,041 - train: [ INFO] - Eval : 30 Time: 0.137 (0.433) Loss: 1.7788 (1.8223) Acc@1: 37.5000 (43.2796)Acc@5: 100.0000 (98.5215) +2024-12-26 14:35:27,027 - train: [ INFO] - Train: 31 [ 0/52 ( 0%)] Loss: 3.082350 (3.0823) Acc@1: 84.3750 (84.3750) Acc@5: 100.0000 (100.0000) Time: 2.278s, 56.19/s (2.278s, 56.19/s) LR: 4.903e-04 Data: 1.845 (1.845) +2024-12-26 14:35:45,912 - train: [ INFO] - Train: 31 [ 50/52 ( 98%)] Loss: 3.120387 (3.1014) Acc@1: 85.1562 (84.7656) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.54/s (0.414s, 308.96/s) LR: 4.903e-04 Data: 0.000 (0.038) +2024-12-26 14:35:46,290 - train: [ INFO] - Train: 31 [ 51/52 (100%)] Loss: 3.040355 (3.0810) Acc@1: 82.0312 (83.8542) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.58/s (0.414s, 309.51/s) LR: 4.903e-04 Data: 0.000 (0.037) +2024-12-26 14:35:47,743 - train: [ INFO] - Eval : 31 Time: 1.280 (1.280) Loss: 1.8963 (1.8963) Acc@1: 43.7500 (43.7500)Acc@5: 92.9688 (92.9688) +2024-12-26 14:35:48,491 - train: [ INFO] - Eval : 31 Time: 0.158 (0.338) Loss: 1.6241 (1.8004) Acc@1: 58.6538 (48.3871)Acc@5: 90.3846 (92.0699) +2024-12-26 14:35:51,690 - train: [ INFO] - Train: 32 [ 0/52 ( 0%)] Loss: 3.015385 (3.0154) Acc@1: 86.7188 (86.7188) Acc@5: 100.0000 (100.0000) Time: 1.992s, 64.27/s (1.992s, 64.27/s) LR: 4.823e-04 Data: 1.583 (1.583) +2024-12-26 14:36:10,772 - train: [ INFO] - Train: 32 [ 50/52 ( 98%)] Loss: 3.142149 (3.0788) Acc@1: 86.7188 (86.7188) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.44/s (0.412s, 310.73/s) LR: 4.823e-04 Data: 0.000 (0.032) +2024-12-26 14:36:11,140 - train: [ INFO] - Train: 32 [ 51/52 (100%)] Loss: 2.940848 (3.0328) Acc@1: 88.2812 (87.2396) Acc@5: 100.0000 (100.0000) Time: 0.365s, 350.87/s (0.411s, 311.42/s) LR: 4.823e-04 Data: 0.000 (0.032) +2024-12-26 14:36:12,611 - train: [ INFO] - Eval : 32 Time: 1.295 (1.295) Loss: 1.2488 (1.2488) Acc@1: 56.2500 (56.2500)Acc@5: 96.8750 (96.8750) +2024-12-26 14:36:13,328 - train: [ INFO] - Eval : 32 Time: 0.138 (0.335) Loss: 1.1197 (1.1388) Acc@1: 55.7692 (57.6613)Acc@5: 98.0769 (97.8495) +2024-12-26 14:36:15,543 - train: [ INFO] - Train: 33 [ 0/52 ( 0%)] Loss: 2.930114 (2.9301) Acc@1: 90.6250 (90.6250) Acc@5: 99.2188 (99.2188) Time: 1.587s, 80.67/s (1.587s, 80.67/s) LR: 4.740e-04 Data: 1.171 (1.171) +2024-12-26 14:36:34,446 - train: [ INFO] - Train: 33 [ 50/52 ( 98%)] Loss: 2.906944 (2.9185) Acc@1: 89.8438 (90.2344) Acc@5: 100.0000 (99.6094) Time: 0.377s, 339.81/s (0.401s, 319.34/s) LR: 4.740e-04 Data: 0.000 (0.024) +2024-12-26 14:36:34,836 - train: [ INFO] - Train: 33 [ 51/52 (100%)] Loss: 2.978581 (2.9385) Acc@1: 88.2812 (89.5833) Acc@5: 100.0000 (99.7396) Time: 0.387s, 330.81/s (0.401s, 319.55/s) LR: 4.740e-04 Data: 0.000 (0.024) +2024-12-26 14:36:36,795 - train: [ INFO] - Eval : 33 Time: 1.786 (1.786) Loss: 1.3355 (1.3355) Acc@1: 54.6875 (54.6875)Acc@5: 98.4375 (98.4375) +2024-12-26 14:36:37,518 - train: [ INFO] - Eval : 33 Time: 0.140 (0.418) Loss: 1.2778 (1.4380) Acc@1: 50.0000 (50.6720)Acc@5: 97.1154 (97.5806) +2024-12-26 14:36:39,689 - train: [ INFO] - Train: 34 [ 0/52 ( 0%)] Loss: 2.747112 (2.7471) Acc@1: 91.4062 (91.4062) Acc@5: 100.0000 (100.0000) Time: 1.492s, 85.79/s (1.492s, 85.79/s) LR: 4.656e-04 Data: 1.062 (1.062) +2024-12-26 14:36:58,517 - train: [ INFO] - Train: 34 [ 50/52 ( 98%)] Loss: 2.811429 (2.7793) Acc@1: 92.1875 (91.7969) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.64/s (0.398s, 322.00/s) LR: 4.656e-04 Data: 0.000 (0.022) +2024-12-26 14:36:58,892 - train: [ INFO] - Train: 34 [ 51/52 (100%)] Loss: 2.863951 (2.8075) Acc@1: 92.9688 (92.1875) Acc@5: 100.0000 (100.0000) Time: 0.372s, 343.81/s (0.397s, 322.40/s) LR: 4.656e-04 Data: 0.000 (0.022) +2024-12-26 14:37:00,907 - train: [ INFO] - Eval : 34 Time: 1.781 (1.781) Loss: 3.2586 (3.2586) Acc@1: 29.6875 (29.6875)Acc@5: 93.7500 (93.7500) +2024-12-26 14:37:01,627 - train: [ INFO] - Eval : 34 Time: 0.134 (0.417) Loss: 3.3852 (2.9384) Acc@1: 32.6923 (35.0806)Acc@5: 97.1154 (96.7742) +2024-12-26 14:37:03,889 - train: [ INFO] - Train: 35 [ 0/52 ( 0%)] Loss: 2.879544 (2.8795) Acc@1: 89.8438 (89.8438) Acc@5: 100.0000 (100.0000) Time: 1.623s, 78.85/s (1.623s, 78.85/s) LR: 4.571e-04 Data: 1.210 (1.210) +2024-12-26 14:37:22,718 - train: [ INFO] - Train: 35 [ 50/52 ( 98%)] Loss: 3.010724 (2.9451) Acc@1: 89.0625 (89.4531) Acc@5: 100.0000 (100.0000) Time: 0.374s, 341.85/s (0.400s, 320.00/s) LR: 4.571e-04 Data: 0.000 (0.025) +2024-12-26 14:37:23,093 - train: [ INFO] - Train: 35 [ 51/52 (100%)] Loss: 2.979781 (2.9567) Acc@1: 86.7188 (88.5417) Acc@5: 100.0000 (100.0000) Time: 0.372s, 344.18/s (0.399s, 320.43/s) LR: 4.571e-04 Data: 0.000 (0.024) +2024-12-26 14:37:24,566 - train: [ INFO] - Eval : 35 Time: 1.289 (1.289) Loss: 0.7093 (0.7093) Acc@1: 75.7812 (75.7812)Acc@5: 99.2188 (99.2188) +2024-12-26 14:37:25,350 - train: [ INFO] - Eval : 35 Time: 0.133 (0.346) Loss: 1.0945 (0.8938) Acc@1: 65.3846 (70.0269)Acc@5: 97.1154 (98.2527) +2024-12-26 14:37:26,050 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_CMCI-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-35.pth.tar', 70.0268824587586) + +2024-12-26 14:37:27,953 - train: [ INFO] - Train: 36 [ 0/52 ( 0%)] Loss: 2.841696 (2.8417) Acc@1: 92.1875 (92.1875) Acc@5: 100.0000 (100.0000) Time: 1.885s, 67.89/s (1.885s, 67.89/s) LR: 4.484e-04 Data: 1.461 (1.461) +2024-12-26 14:37:46,879 - train: [ INFO] - Train: 36 [ 50/52 ( 98%)] Loss: 2.910907 (2.8763) Acc@1: 90.6250 (91.4062) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.45/s (0.407s, 314.53/s) LR: 4.484e-04 Data: 0.000 (0.030) +2024-12-26 14:37:47,251 - train: [ INFO] - Train: 36 [ 51/52 (100%)] Loss: 2.956309 (2.9030) Acc@1: 92.9688 (91.9271) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.99/s (0.406s, 315.10/s) LR: 4.484e-04 Data: 0.000 (0.029) +2024-12-26 14:37:48,661 - train: [ INFO] - Eval : 36 Time: 1.247 (1.247) Loss: 1.3440 (1.3440) Acc@1: 56.2500 (56.2500)Acc@5: 94.5312 (94.5312) +2024-12-26 14:37:49,362 - train: [ INFO] - Eval : 36 Time: 0.130 (0.325) Loss: 1.0670 (1.3686) Acc@1: 63.4615 (58.4677)Acc@5: 98.0769 (94.0860) +2024-12-26 14:37:52,610 - train: [ INFO] - Train: 37 [ 0/52 ( 0%)] Loss: 2.909148 (2.9091) Acc@1: 87.5000 (87.5000) Acc@5: 100.0000 (100.0000) Time: 2.087s, 61.32/s (2.087s, 61.32/s) LR: 4.396e-04 Data: 1.660 (1.660) +2024-12-26 14:38:11,583 - train: [ INFO] - Train: 37 [ 50/52 ( 98%)] Loss: 3.018961 (2.9641) Acc@1: 91.4062 (89.4531) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.56/s (0.412s, 310.49/s) LR: 4.396e-04 Data: 0.000 (0.034) +2024-12-26 14:38:12,019 - train: [ INFO] - Train: 37 [ 51/52 (100%)] Loss: 2.800966 (2.9097) Acc@1: 92.1875 (90.3646) Acc@5: 100.0000 (100.0000) Time: 0.404s, 316.68/s (0.412s, 310.60/s) LR: 4.396e-04 Data: 0.000 (0.033) +2024-12-26 14:38:14,107 - train: [ INFO] - Eval : 37 Time: 1.873 (1.873) Loss: 1.1625 (1.1625) Acc@1: 58.5938 (58.5938)Acc@5: 99.2188 (99.2188) +2024-12-26 14:38:14,869 - train: [ INFO] - Eval : 37 Time: 0.150 (0.439) Loss: 1.0645 (1.1462) Acc@1: 66.3462 (60.8871)Acc@5: 98.0769 (97.3118) +2024-12-26 14:38:17,836 - train: [ INFO] - Train: 38 [ 0/52 ( 0%)] Loss: 2.733602 (2.7336) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 1.840s, 69.57/s (1.840s, 69.57/s) LR: 4.307e-04 Data: 1.412 (1.412) +2024-12-26 14:38:36,671 - train: [ INFO] - Train: 38 [ 50/52 ( 98%)] Loss: 2.716168 (2.7249) Acc@1: 94.5312 (94.9219) Acc@5: 99.2188 (99.6094) Time: 0.379s, 337.61/s (0.405s, 316.27/s) LR: 4.307e-04 Data: 0.000 (0.029) +2024-12-26 14:38:37,044 - train: [ INFO] - Train: 38 [ 51/52 (100%)] Loss: 2.812701 (2.7542) Acc@1: 90.6250 (93.4896) Acc@5: 100.0000 (99.7396) Time: 0.370s, 346.06/s (0.404s, 316.79/s) LR: 4.307e-04 Data: 0.000 (0.028) +2024-12-26 14:38:39,552 - train: [ INFO] - Eval : 38 Time: 2.290 (2.290) Loss: 2.5717 (2.5717) Acc@1: 33.5938 (33.5938)Acc@5: 97.6562 (97.6562) +2024-12-26 14:38:40,261 - train: [ INFO] - Eval : 38 Time: 0.134 (0.500) Loss: 2.8245 (2.8579) Acc@1: 28.8462 (29.9731)Acc@5: 100.0000 (97.0430) +2024-12-26 14:38:43,774 - train: [ INFO] - Train: 39 [ 0/52 ( 0%)] Loss: 2.641551 (2.6416) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 2.650s, 48.30/s (2.650s, 48.30/s) LR: 4.217e-04 Data: 2.218 (2.218) +2024-12-26 14:39:02,740 - train: [ INFO] - Train: 39 [ 50/52 ( 98%)] Loss: 2.786263 (2.7139) Acc@1: 91.4062 (93.3594) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.57/s (0.423s, 302.91/s) LR: 4.217e-04 Data: 0.000 (0.044) +2024-12-26 14:39:03,121 - train: [ INFO] - Train: 39 [ 51/52 (100%)] Loss: 2.720978 (2.7163) Acc@1: 94.5312 (93.7500) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.22/s (0.422s, 303.54/s) LR: 4.217e-04 Data: 0.000 (0.044) +2024-12-26 14:39:06,098 - train: [ INFO] - Eval : 39 Time: 2.845 (2.845) Loss: 1.2590 (1.2590) Acc@1: 59.3750 (59.3750)Acc@5: 99.2188 (99.2188) +2024-12-26 14:39:06,806 - train: [ INFO] - Eval : 39 Time: 0.139 (0.592) Loss: 1.0773 (1.1581) Acc@1: 61.5385 (58.8710)Acc@5: 99.0385 (98.9247) +2024-12-26 14:39:10,127 - train: [ INFO] - Train: 40 [ 0/52 ( 0%)] Loss: 2.713605 (2.7136) Acc@1: 92.1875 (92.1875) Acc@5: 100.0000 (100.0000) Time: 2.671s, 47.93/s (2.671s, 47.93/s) LR: 4.125e-04 Data: 2.259 (2.259) +2024-12-26 14:39:29,068 - train: [ INFO] - Train: 40 [ 50/52 ( 98%)] Loss: 2.811560 (2.7626) Acc@1: 89.8438 (91.0156) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.56/s (0.423s, 302.51/s) LR: 4.125e-04 Data: 0.000 (0.045) +2024-12-26 14:39:29,441 - train: [ INFO] - Train: 40 [ 51/52 (100%)] Loss: 2.948519 (2.8246) Acc@1: 86.7188 (89.5833) Acc@5: 100.0000 (100.0000) Time: 0.370s, 345.87/s (0.422s, 303.24/s) LR: 4.125e-04 Data: 0.000 (0.044) +2024-12-26 14:39:30,999 - train: [ INFO] - Eval : 40 Time: 1.373 (1.373) Loss: 1.4640 (1.4640) Acc@1: 50.0000 (50.0000)Acc@5: 96.8750 (96.8750) +2024-12-26 14:39:31,776 - train: [ INFO] - Eval : 40 Time: 0.157 (0.358) Loss: 1.3474 (1.6046) Acc@1: 57.6923 (47.5806)Acc@5: 98.0769 (97.4462) +2024-12-26 14:39:35,762 - train: [ INFO] - Train: 41 [ 0/52 ( 0%)] Loss: 2.635926 (2.6359) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 2.080s, 61.55/s (2.080s, 61.55/s) LR: 4.033e-04 Data: 1.670 (1.670) +2024-12-26 14:39:54,708 - train: [ INFO] - Train: 41 [ 50/52 ( 98%)] Loss: 2.860525 (2.7482) Acc@1: 88.2812 (91.7969) Acc@5: 100.0000 (100.0000) Time: 0.371s, 344.58/s (0.410s, 311.88/s) LR: 4.033e-04 Data: 0.000 (0.034) +2024-12-26 14:39:55,078 - train: [ INFO] - Train: 41 [ 51/52 (100%)] Loss: 2.802451 (2.7663) Acc@1: 92.1875 (91.9271) Acc@5: 100.0000 (100.0000) Time: 0.368s, 348.28/s (0.410s, 312.51/s) LR: 4.033e-04 Data: 0.000 (0.033) +2024-12-26 14:39:56,506 - train: [ INFO] - Eval : 41 Time: 1.272 (1.272) Loss: 1.3219 (1.3219) Acc@1: 53.9062 (53.9062)Acc@5: 97.6562 (97.6562) +2024-12-26 14:39:57,211 - train: [ INFO] - Eval : 41 Time: 0.135 (0.330) Loss: 1.1153 (1.2857) Acc@1: 57.6923 (55.7796)Acc@5: 97.1154 (96.9086) +2024-12-26 14:39:59,450 - train: [ INFO] - Train: 42 [ 0/52 ( 0%)] Loss: 2.683947 (2.6839) Acc@1: 92.1875 (92.1875) Acc@5: 100.0000 (100.0000) Time: 1.612s, 79.42/s (1.612s, 79.42/s) LR: 3.940e-04 Data: 1.154 (1.154) +2024-12-26 14:40:18,444 - train: [ INFO] - Train: 42 [ 50/52 ( 98%)] Loss: 2.766711 (2.7253) Acc@1: 93.7500 (92.9688) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.87/s (0.402s, 318.33/s) LR: 3.940e-04 Data: 0.000 (0.024) +2024-12-26 14:40:18,815 - train: [ INFO] - Train: 42 [ 51/52 (100%)] Loss: 2.717885 (2.7228) Acc@1: 94.5312 (93.4896) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.78/s (0.401s, 318.85/s) LR: 3.940e-04 Data: 0.000 (0.023) +2024-12-26 14:40:20,337 - train: [ INFO] - Eval : 42 Time: 1.263 (1.263) Loss: 1.4703 (1.4703) Acc@1: 57.8125 (57.8125)Acc@5: 93.7500 (93.7500) +2024-12-26 14:40:21,058 - train: [ INFO] - Eval : 42 Time: 0.135 (0.331) Loss: 1.4189 (1.3928) Acc@1: 57.6923 (59.1398)Acc@5: 94.2308 (96.2366) +2024-12-26 14:40:23,184 - train: [ INFO] - Train: 43 [ 0/52 ( 0%)] Loss: 2.605089 (2.6051) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.459s, 87.73/s (1.459s, 87.73/s) LR: 3.846e-04 Data: 1.041 (1.041) +2024-12-26 14:40:42,151 - train: [ INFO] - Train: 43 [ 50/52 ( 98%)] Loss: 2.666780 (2.6359) Acc@1: 92.9688 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.47/s (0.400s, 320.17/s) LR: 3.846e-04 Data: 0.000 (0.022) +2024-12-26 14:40:42,527 - train: [ INFO] - Train: 43 [ 51/52 (100%)] Loss: 2.625500 (2.6325) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.373s, 343.41/s (0.399s, 320.58/s) LR: 3.846e-04 Data: 0.000 (0.021) +2024-12-26 14:40:44,037 - train: [ INFO] - Eval : 43 Time: 1.304 (1.304) Loss: 1.3441 (1.3441) Acc@1: 56.2500 (56.2500)Acc@5: 97.6562 (97.6562) +2024-12-26 14:40:44,757 - train: [ INFO] - Eval : 43 Time: 0.134 (0.337) Loss: 1.0346 (1.1599) Acc@1: 62.5000 (59.8118)Acc@5: 99.0385 (98.3871) +2024-12-26 14:40:47,589 - train: [ INFO] - Train: 44 [ 0/52 ( 0%)] Loss: 2.611334 (2.6113) Acc@1: 92.9688 (92.9688) Acc@5: 100.0000 (100.0000) Time: 2.209s, 57.95/s (2.209s, 57.95/s) LR: 3.751e-04 Data: 1.763 (1.763) +2024-12-26 14:41:06,464 - train: [ INFO] - Train: 44 [ 50/52 ( 98%)] Loss: 2.583757 (2.5975) Acc@1: 97.6562 (95.3125) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.89/s (0.413s, 310.14/s) LR: 3.751e-04 Data: 0.000 (0.036) +2024-12-26 14:41:06,837 - train: [ INFO] - Train: 44 [ 51/52 (100%)] Loss: 2.525710 (2.5736) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.56/s (0.412s, 310.77/s) LR: 3.751e-04 Data: 0.000 (0.035) +2024-12-26 14:41:08,251 - train: [ INFO] - Eval : 44 Time: 1.262 (1.262) Loss: 1.0646 (1.0646) Acc@1: 60.9375 (60.9375)Acc@5: 97.6562 (97.6562) +2024-12-26 14:41:08,978 - train: [ INFO] - Eval : 44 Time: 0.135 (0.331) Loss: 1.1828 (1.1219) Acc@1: 60.5769 (60.3495)Acc@5: 98.0769 (97.7151) +2024-12-26 14:41:11,468 - train: [ INFO] - Train: 45 [ 0/52 ( 0%)] Loss: 2.527246 (2.5272) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 1.856s, 68.95/s (1.856s, 68.95/s) LR: 3.656e-04 Data: 1.429 (1.429) +2024-12-26 14:41:30,306 - train: [ INFO] - Train: 45 [ 50/52 ( 98%)] Loss: 2.715353 (2.6213) Acc@1: 90.6250 (92.5781) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.78/s (0.405s, 316.06/s) LR: 3.656e-04 Data: 0.000 (0.029) +2024-12-26 14:41:30,676 - train: [ INFO] - Train: 45 [ 51/52 (100%)] Loss: 2.597825 (2.6135) Acc@1: 96.0938 (93.7500) Acc@5: 100.0000 (100.0000) Time: 0.366s, 349.45/s (0.404s, 316.64/s) LR: 3.656e-04 Data: 0.000 (0.029) +2024-12-26 14:41:32,910 - train: [ INFO] - Eval : 45 Time: 2.051 (2.051) Loss: 1.3574 (1.3574) Acc@1: 55.4688 (55.4688)Acc@5: 97.6562 (97.6562) +2024-12-26 14:41:33,639 - train: [ INFO] - Eval : 45 Time: 0.131 (0.463) Loss: 1.3349 (1.5055) Acc@1: 56.7308 (50.9409)Acc@5: 97.1154 (97.3118) +2024-12-26 14:41:36,265 - train: [ INFO] - Train: 46 [ 0/52 ( 0%)] Loss: 2.538964 (2.5390) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.981s, 64.60/s (1.981s, 64.60/s) LR: 3.560e-04 Data: 1.558 (1.558) +2024-12-26 14:41:55,061 - train: [ INFO] - Train: 46 [ 50/52 ( 98%)] Loss: 2.615833 (2.5774) Acc@1: 97.6562 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.364s, 351.90/s (0.407s, 314.83/s) LR: 3.560e-04 Data: 0.000 (0.032) +2024-12-26 14:41:55,451 - train: [ INFO] - Train: 46 [ 51/52 (100%)] Loss: 2.655789 (2.6035) Acc@1: 95.3125 (96.3542) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.94/s (0.406s, 315.11/s) LR: 3.560e-04 Data: 0.000 (0.031) +2024-12-26 14:41:58,726 - train: [ INFO] - Eval : 46 Time: 3.097 (3.097) Loss: 1.0162 (1.0162) Acc@1: 64.0625 (64.0625)Acc@5: 99.2188 (99.2188) +2024-12-26 14:41:59,443 - train: [ INFO] - Eval : 46 Time: 0.132 (0.636) Loss: 1.1540 (1.1558) Acc@1: 63.4615 (59.8118)Acc@5: 97.1154 (98.2527) +2024-12-26 14:42:02,754 - train: [ INFO] - Train: 47 [ 0/52 ( 0%)] Loss: 2.582906 (2.5829) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 2.628s, 48.71/s (2.628s, 48.71/s) LR: 3.464e-04 Data: 2.226 (2.226) +2024-12-26 14:42:21,594 - train: [ INFO] - Train: 47 [ 50/52 ( 98%)] Loss: 2.664079 (2.6235) Acc@1: 92.1875 (94.1406) Acc@5: 100.0000 (100.0000) Time: 0.370s, 346.03/s (0.420s, 304.55/s) LR: 3.464e-04 Data: 0.000 (0.045) +2024-12-26 14:42:22,004 - train: [ INFO] - Train: 47 [ 51/52 (100%)] Loss: 2.584220 (2.6104) Acc@1: 95.3125 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.95/s (0.419s, 305.14/s) LR: 3.464e-04 Data: 0.000 (0.044) +2024-12-26 14:42:25,016 - train: [ INFO] - Eval : 47 Time: 2.844 (2.844) Loss: 1.1007 (1.1007) Acc@1: 56.2500 (56.2500)Acc@5: 97.6562 (97.6562) +2024-12-26 14:42:25,782 - train: [ INFO] - Eval : 47 Time: 0.146 (0.602) Loss: 1.3904 (1.2565) Acc@1: 53.8462 (55.3763)Acc@5: 97.1154 (96.9086) +2024-12-26 14:42:28,485 - train: [ INFO] - Train: 48 [ 0/52 ( 0%)] Loss: 2.525790 (2.5258) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 2.012s, 63.62/s (2.012s, 63.62/s) LR: 3.368e-04 Data: 1.572 (1.572) +2024-12-26 14:42:47,390 - train: [ INFO] - Train: 48 [ 50/52 ( 98%)] Loss: 2.654740 (2.5903) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.59/s (0.409s, 312.77/s) LR: 3.368e-04 Data: 0.000 (0.032) +2024-12-26 14:42:47,761 - train: [ INFO] - Train: 48 [ 51/52 (100%)] Loss: 2.595724 (2.5921) Acc@1: 94.5312 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.67/s (0.408s, 313.38/s) LR: 3.368e-04 Data: 0.000 (0.031) +2024-12-26 14:42:49,180 - train: [ INFO] - Eval : 48 Time: 1.254 (1.254) Loss: 1.3089 (1.3089) Acc@1: 52.3438 (52.3438)Acc@5: 97.6562 (97.6562) +2024-12-26 14:42:49,922 - train: [ INFO] - Eval : 48 Time: 0.147 (0.333) Loss: 1.2708 (1.3038) Acc@1: 59.6154 (53.2258)Acc@5: 97.1154 (98.2527) +2024-12-26 14:42:53,557 - train: [ INFO] - Train: 49 [ 0/52 ( 0%)] Loss: 2.503881 (2.5039) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 2.177s, 58.79/s (2.177s, 58.79/s) LR: 3.272e-04 Data: 1.742 (1.742) +2024-12-26 14:43:12,576 - train: [ INFO] - Train: 49 [ 50/52 ( 98%)] Loss: 2.425638 (2.4648) Acc@1: 98.4375 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.81/s (0.415s, 308.71/s) LR: 3.272e-04 Data: 0.000 (0.035) +2024-12-26 14:43:12,952 - train: [ INFO] - Train: 49 [ 51/52 (100%)] Loss: 2.628071 (2.5192) Acc@1: 97.6562 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.373s, 343.03/s (0.414s, 309.31/s) LR: 3.272e-04 Data: 0.000 (0.035) +2024-12-26 14:43:14,397 - train: [ INFO] - Eval : 49 Time: 1.280 (1.280) Loss: 1.2552 (1.2552) Acc@1: 57.8125 (57.8125)Acc@5: 95.3125 (95.3125) +2024-12-26 14:43:15,129 - train: [ INFO] - Eval : 49 Time: 0.136 (0.335) Loss: 1.4014 (1.3387) Acc@1: 51.9231 (55.6452)Acc@5: 96.1538 (94.3548) +2024-12-26 14:43:17,508 - train: [ INFO] - Train: 50 [ 0/52 ( 0%)] Loss: 2.385306 (2.3853) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.707s, 74.99/s (1.707s, 74.99/s) LR: 3.175e-04 Data: 1.284 (1.284) +2024-12-26 14:43:36,451 - train: [ INFO] - Train: 50 [ 50/52 ( 98%)] Loss: 2.536651 (2.4610) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.98/s (0.404s, 317.18/s) LR: 3.175e-04 Data: 0.000 (0.026) +2024-12-26 14:43:36,824 - train: [ INFO] - Train: 50 [ 51/52 (100%)] Loss: 2.511912 (2.4780) Acc@1: 96.0938 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.49/s (0.403s, 317.70/s) LR: 3.175e-04 Data: 0.000 (0.026) +2024-12-26 14:43:38,277 - train: [ INFO] - Eval : 50 Time: 1.267 (1.267) Loss: 1.1303 (1.1303) Acc@1: 59.3750 (59.3750)Acc@5: 98.4375 (98.4375) +2024-12-26 14:43:39,001 - train: [ INFO] - Eval : 50 Time: 0.143 (0.332) Loss: 1.0650 (1.1258) Acc@1: 63.4615 (58.7366)Acc@5: 98.0769 (98.6559) +2024-12-26 14:43:41,153 - train: [ INFO] - Train: 51 [ 0/52 ( 0%)] Loss: 2.428457 (2.4285) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.470s, 87.07/s (1.470s, 87.07/s) LR: 3.078e-04 Data: 1.068 (1.068) +2024-12-26 14:44:00,256 - train: [ INFO] - Train: 51 [ 50/52 ( 98%)] Loss: 2.471889 (2.4502) Acc@1: 99.2188 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.00/s (0.403s, 317.87/s) LR: 3.078e-04 Data: 0.000 (0.022) +2024-12-26 14:44:00,646 - train: [ INFO] - Train: 51 [ 51/52 (100%)] Loss: 2.359598 (2.4200) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.382s, 334.74/s (0.402s, 318.18/s) LR: 3.078e-04 Data: 0.000 (0.022) +2024-12-26 14:44:02,192 - train: [ INFO] - Eval : 51 Time: 1.311 (1.311) Loss: 1.1260 (1.1260) Acc@1: 59.3750 (59.3750)Acc@5: 97.6562 (97.6562) +2024-12-26 14:44:02,918 - train: [ INFO] - Eval : 51 Time: 0.142 (0.340) Loss: 1.2950 (1.3385) Acc@1: 54.8077 (54.9731)Acc@5: 100.0000 (97.0430) +2024-12-26 14:44:05,038 - train: [ INFO] - Train: 52 [ 0/52 ( 0%)] Loss: 2.342549 (2.3425) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.470s, 87.08/s (1.470s, 87.08/s) LR: 2.982e-04 Data: 1.022 (1.022) +2024-12-26 14:44:23,946 - train: [ INFO] - Train: 52 [ 50/52 ( 98%)] Loss: 2.469537 (2.4060) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.24/s (0.398s, 321.41/s) LR: 2.982e-04 Data: 0.000 (0.021) +2024-12-26 14:44:24,324 - train: [ INFO] - Train: 52 [ 51/52 (100%)] Loss: 2.393379 (2.4018) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.373s, 342.83/s (0.398s, 321.80/s) LR: 2.982e-04 Data: 0.000 (0.021) +2024-12-26 14:44:26,043 - train: [ INFO] - Eval : 52 Time: 1.546 (1.546) Loss: 1.2202 (1.2202) Acc@1: 59.3750 (59.3750)Acc@5: 98.4375 (98.4375) +2024-12-26 14:44:26,786 - train: [ INFO] - Eval : 52 Time: 0.154 (0.382) Loss: 1.1319 (1.2677) Acc@1: 62.5000 (57.1237)Acc@5: 98.0769 (98.7903) +2024-12-26 14:44:29,331 - train: [ INFO] - Train: 53 [ 0/52 ( 0%)] Loss: 2.366975 (2.3670) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.890s, 67.73/s (1.890s, 67.73/s) LR: 2.886e-04 Data: 1.484 (1.484) +2024-12-26 14:44:48,118 - train: [ INFO] - Train: 53 [ 50/52 ( 98%)] Loss: 2.477391 (2.4222) Acc@1: 95.3125 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.373s, 343.20/s (0.405s, 316.30/s) LR: 2.886e-04 Data: 0.000 (0.030) +2024-12-26 14:44:48,523 - train: [ INFO] - Train: 53 [ 51/52 (100%)] Loss: 2.463082 (2.4358) Acc@1: 96.8750 (97.3958) Acc@5: 100.0000 (100.0000) Time: 0.388s, 330.09/s (0.404s, 316.55/s) LR: 2.886e-04 Data: 0.000 (0.029) +2024-12-26 14:44:50,350 - train: [ INFO] - Eval : 53 Time: 1.685 (1.685) Loss: 0.8541 (0.8541) Acc@1: 71.0938 (71.0938)Acc@5: 97.6562 (97.6562) +2024-12-26 14:44:51,095 - train: [ INFO] - Eval : 53 Time: 0.150 (0.405) Loss: 0.7822 (0.9533) Acc@1: 74.0385 (65.4570)Acc@5: 100.0000 (98.1183) +2024-12-26 14:44:53,869 - train: [ INFO] - Train: 54 [ 0/52 ( 0%)] Loss: 2.407294 (2.4073) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.032s, 63.00/s (2.032s, 63.00/s) LR: 2.790e-04 Data: 1.593 (1.593) +2024-12-26 14:45:12,738 - train: [ INFO] - Train: 54 [ 50/52 ( 98%)] Loss: 2.457578 (2.4324) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.366s, 349.85/s (0.409s, 312.98/s) LR: 2.790e-04 Data: 0.000 (0.032) +2024-12-26 14:45:13,108 - train: [ INFO] - Train: 54 [ 51/52 (100%)] Loss: 2.410107 (2.4250) Acc@1: 96.8750 (97.9167) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.50/s (0.408s, 313.59/s) LR: 2.790e-04 Data: 0.000 (0.032) +2024-12-26 14:45:16,149 - train: [ INFO] - Eval : 54 Time: 2.837 (2.837) Loss: 1.0179 (1.0179) Acc@1: 67.9688 (67.9688)Acc@5: 96.0938 (96.0938) +2024-12-26 14:45:16,912 - train: [ INFO] - Eval : 54 Time: 0.149 (0.600) Loss: 1.2880 (1.1689) Acc@1: 58.6538 (63.9785)Acc@5: 98.0769 (95.9677) +2024-12-26 14:45:20,142 - train: [ INFO] - Train: 55 [ 0/52 ( 0%)] Loss: 2.360049 (2.3600) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.974s, 64.83/s (1.974s, 64.83/s) LR: 2.694e-04 Data: 1.560 (1.560) +2024-12-26 14:45:38,890 - train: [ INFO] - Train: 55 [ 50/52 ( 98%)] Loss: 2.544012 (2.4520) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.381s, 335.82/s (0.406s, 315.51/s) LR: 2.694e-04 Data: 0.000 (0.032) +2024-12-26 14:45:39,299 - train: [ INFO] - Train: 55 [ 51/52 (100%)] Loss: 2.367754 (2.4239) Acc@1: 99.2188 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.47/s (0.405s, 315.97/s) LR: 2.694e-04 Data: 0.000 (0.031) +2024-12-26 14:45:41,809 - train: [ INFO] - Eval : 55 Time: 2.368 (2.368) Loss: 1.3621 (1.3621) Acc@1: 57.8125 (57.8125)Acc@5: 95.3125 (95.3125) +2024-12-26 14:45:42,570 - train: [ INFO] - Eval : 55 Time: 0.153 (0.522) Loss: 1.5687 (1.4749) Acc@1: 49.0385 (51.8817)Acc@5: 92.3077 (94.4892) +2024-12-26 14:45:45,645 - train: [ INFO] - Train: 56 [ 0/52 ( 0%)] Loss: 2.363928 (2.3639) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.418s, 52.93/s (2.418s, 52.93/s) LR: 2.599e-04 Data: 2.002 (2.002) +2024-12-26 14:46:04,485 - train: [ INFO] - Train: 56 [ 50/52 ( 98%)] Loss: 2.498418 (2.4312) Acc@1: 95.3125 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.86/s (0.416s, 307.53/s) LR: 2.599e-04 Data: 0.000 (0.040) +2024-12-26 14:46:04,855 - train: [ INFO] - Train: 56 [ 51/52 (100%)] Loss: 2.419048 (2.4271) Acc@1: 99.2188 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.92/s (0.415s, 308.24/s) LR: 2.599e-04 Data: 0.000 (0.039) +2024-12-26 14:46:06,430 - train: [ INFO] - Eval : 56 Time: 1.365 (1.365) Loss: 1.0323 (1.0323) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 14:46:07,158 - train: [ INFO] - Eval : 56 Time: 0.134 (0.349) Loss: 1.3583 (1.1372) Acc@1: 54.8077 (63.4409)Acc@5: 98.0769 (97.8495) +2024-12-26 14:46:11,713 - train: [ INFO] - Train: 57 [ 0/52 ( 0%)] Loss: 2.440109 (2.4401) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.624s, 48.77/s (2.624s, 48.77/s) LR: 2.504e-04 Data: 2.211 (2.211) +2024-12-26 14:46:30,536 - train: [ INFO] - Train: 57 [ 50/52 ( 98%)] Loss: 2.412198 (2.4262) Acc@1: 96.8750 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.85/s (0.420s, 304.89/s) LR: 2.504e-04 Data: 0.000 (0.044) +2024-12-26 14:46:30,907 - train: [ INFO] - Train: 57 [ 51/52 (100%)] Loss: 2.406461 (2.4196) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.59/s (0.419s, 305.61/s) LR: 2.504e-04 Data: 0.000 (0.043) +2024-12-26 14:46:32,284 - train: [ INFO] - Eval : 57 Time: 1.173 (1.173) Loss: 1.0196 (1.0196) Acc@1: 64.8438 (64.8438)Acc@5: 96.0938 (96.0938) +2024-12-26 14:46:33,007 - train: [ INFO] - Eval : 57 Time: 0.147 (0.316) Loss: 1.1223 (1.0985) Acc@1: 64.4231 (62.0968)Acc@5: 97.1154 (96.6398) +2024-12-26 14:46:35,423 - train: [ INFO] - Train: 58 [ 0/52 ( 0%)] Loss: 2.551495 (2.5515) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.784s, 71.76/s (1.784s, 71.76/s) LR: 2.410e-04 Data: 1.340 (1.340) +2024-12-26 14:46:54,304 - train: [ INFO] - Train: 58 [ 50/52 ( 98%)] Loss: 2.425442 (2.4885) Acc@1: 96.8750 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.371s, 344.60/s (0.404s, 316.85/s) LR: 2.410e-04 Data: 0.000 (0.027) +2024-12-26 14:46:54,681 - train: [ INFO] - Train: 58 [ 51/52 (100%)] Loss: 2.470633 (2.4825) Acc@1: 97.6562 (96.8750) Acc@5: 99.2188 (99.7396) Time: 0.374s, 341.95/s (0.403s, 317.30/s) LR: 2.410e-04 Data: 0.000 (0.027) +2024-12-26 14:46:56,117 - train: [ INFO] - Eval : 58 Time: 1.297 (1.297) Loss: 1.0430 (1.0430) Acc@1: 67.1875 (67.1875)Acc@5: 97.6562 (97.6562) +2024-12-26 14:46:56,851 - train: [ INFO] - Eval : 58 Time: 0.152 (0.338) Loss: 1.1099 (1.0105) Acc@1: 65.3846 (67.0699)Acc@5: 97.1154 (97.4462) +2024-12-26 14:46:58,920 - train: [ INFO] - Train: 59 [ 0/52 ( 0%)] Loss: 2.284759 (2.2848) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.467s, 87.25/s (1.467s, 87.25/s) LR: 2.317e-04 Data: 1.074 (1.074) +2024-12-26 14:47:17,763 - train: [ INFO] - Train: 59 [ 50/52 ( 98%)] Loss: 2.343554 (2.3142) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.390s, 327.82/s (0.397s, 322.13/s) LR: 2.317e-04 Data: 0.000 (0.022) +2024-12-26 14:47:18,133 - train: [ INFO] - Train: 59 [ 51/52 (100%)] Loss: 2.520804 (2.3830) Acc@1: 95.3125 (97.3958) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.57/s (0.397s, 322.60/s) LR: 2.317e-04 Data: 0.000 (0.022) +2024-12-26 14:47:19,889 - train: [ INFO] - Eval : 59 Time: 1.582 (1.582) Loss: 1.4114 (1.4114) Acc@1: 49.2188 (49.2188)Acc@5: 97.6562 (97.6562) +2024-12-26 14:47:20,621 - train: [ INFO] - Eval : 59 Time: 0.144 (0.386) Loss: 1.3785 (1.3746) Acc@1: 51.9231 (52.6882)Acc@5: 98.0769 (98.1183) +2024-12-26 14:47:22,680 - train: [ INFO] - Train: 60 [ 0/52 ( 0%)] Loss: 2.249264 (2.2493) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.404s, 91.19/s (1.404s, 91.19/s) LR: 2.225e-04 Data: 1.006 (1.006) +2024-12-26 14:47:41,633 - train: [ INFO] - Train: 60 [ 50/52 ( 98%)] Loss: 2.462395 (2.3558) Acc@1: 96.8750 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.42/s (0.398s, 321.27/s) LR: 2.225e-04 Data: 0.000 (0.021) +2024-12-26 14:47:42,001 - train: [ INFO] - Train: 60 [ 51/52 (100%)] Loss: 2.380620 (2.3641) Acc@1: 98.4375 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.365s, 350.34/s (0.398s, 321.79/s) LR: 2.225e-04 Data: 0.000 (0.020) +2024-12-26 14:47:43,859 - train: [ INFO] - Eval : 60 Time: 1.680 (1.680) Loss: 1.1048 (1.1048) Acc@1: 63.2812 (63.2812)Acc@5: 99.2188 (99.2188) +2024-12-26 14:47:44,562 - train: [ INFO] - Eval : 60 Time: 0.130 (0.397) Loss: 1.0984 (1.0849) Acc@1: 60.5769 (62.6344)Acc@5: 99.0385 (98.5215) +2024-12-26 14:47:46,674 - train: [ INFO] - Train: 61 [ 0/52 ( 0%)] Loss: 2.295692 (2.2957) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.475s, 86.77/s (1.475s, 86.77/s) LR: 2.133e-04 Data: 1.060 (1.060) +2024-12-26 14:48:05,479 - train: [ INFO] - Train: 61 [ 50/52 ( 98%)] Loss: 2.397895 (2.3468) Acc@1: 97.6562 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.46/s (0.397s, 322.70/s) LR: 2.133e-04 Data: 0.000 (0.022) +2024-12-26 14:48:05,862 - train: [ INFO] - Train: 61 [ 51/52 (100%)] Loss: 2.311810 (2.3351) Acc@1: 98.4375 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.381s, 335.90/s (0.396s, 322.95/s) LR: 2.133e-04 Data: 0.000 (0.021) +2024-12-26 14:48:07,389 - train: [ INFO] - Eval : 61 Time: 1.375 (1.375) Loss: 1.1851 (1.1851) Acc@1: 62.5000 (62.5000)Acc@5: 96.0938 (96.0938) +2024-12-26 14:48:08,112 - train: [ INFO] - Eval : 61 Time: 0.138 (0.350) Loss: 1.1341 (1.1151) Acc@1: 62.5000 (64.3817)Acc@5: 94.2308 (96.2366) +2024-12-26 14:48:10,439 - train: [ INFO] - Train: 62 [ 0/52 ( 0%)] Loss: 2.355122 (2.3551) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.685s, 75.95/s (1.685s, 75.95/s) LR: 2.043e-04 Data: 1.268 (1.268) +2024-12-26 14:48:29,301 - train: [ INFO] - Train: 62 [ 50/52 ( 98%)] Loss: 2.362563 (2.3588) Acc@1: 98.4375 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.40/s (0.401s, 318.88/s) LR: 2.043e-04 Data: 0.001 (0.026) +2024-12-26 14:48:29,714 - train: [ INFO] - Train: 62 [ 51/52 (100%)] Loss: 2.311914 (2.3432) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.42/s (0.401s, 319.27/s) LR: 2.043e-04 Data: 0.000 (0.025) +2024-12-26 14:48:31,506 - train: [ INFO] - Eval : 62 Time: 1.596 (1.596) Loss: 1.1254 (1.1254) Acc@1: 60.1562 (60.1562)Acc@5: 99.2188 (99.2188) +2024-12-26 14:48:32,250 - train: [ INFO] - Eval : 62 Time: 0.136 (0.390) Loss: 1.0536 (1.0649) Acc@1: 61.5385 (60.6183)Acc@5: 99.0385 (98.3871) +2024-12-26 14:48:35,296 - train: [ INFO] - Train: 63 [ 0/52 ( 0%)] Loss: 2.158179 (2.1582) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.342s, 54.64/s (2.342s, 54.64/s) LR: 1.954e-04 Data: 1.909 (1.909) +2024-12-26 14:48:54,205 - train: [ INFO] - Train: 63 [ 50/52 ( 98%)] Loss: 2.214655 (2.1864) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.93/s (0.416s, 307.82/s) LR: 1.954e-04 Data: 0.000 (0.038) +2024-12-26 14:48:54,576 - train: [ INFO] - Train: 63 [ 51/52 (100%)] Loss: 2.236693 (2.2032) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.85/s (0.415s, 308.51/s) LR: 1.954e-04 Data: 0.000 (0.038) +2024-12-26 14:48:56,106 - train: [ INFO] - Eval : 63 Time: 1.350 (1.350) Loss: 0.9818 (0.9818) Acc@1: 63.2812 (63.2812)Acc@5: 98.4375 (98.4375) +2024-12-26 14:48:56,849 - train: [ INFO] - Eval : 63 Time: 0.134 (0.349) Loss: 1.3025 (1.1709) Acc@1: 48.0769 (55.5108)Acc@5: 99.0385 (98.9247) +2024-12-26 14:49:00,863 - train: [ INFO] - Train: 64 [ 0/52 ( 0%)] Loss: 2.491730 (2.4917) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 2.688s, 47.61/s (2.688s, 47.61/s) LR: 1.866e-04 Data: 2.272 (2.272) +2024-12-26 14:49:19,722 - train: [ INFO] - Train: 64 [ 50/52 ( 98%)] Loss: 2.352165 (2.4219) Acc@1: 96.8750 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.373s, 342.87/s (0.422s, 303.50/s) LR: 1.866e-04 Data: 0.000 (0.046) +2024-12-26 14:49:20,102 - train: [ INFO] - Train: 64 [ 51/52 (100%)] Loss: 2.273495 (2.3725) Acc@1: 98.4375 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.69/s (0.421s, 304.12/s) LR: 1.866e-04 Data: 0.000 (0.045) +2024-12-26 14:49:21,579 - train: [ INFO] - Eval : 64 Time: 1.258 (1.258) Loss: 1.6362 (1.6362) Acc@1: 40.6250 (40.6250)Acc@5: 97.6562 (97.6562) +2024-12-26 14:49:22,322 - train: [ INFO] - Eval : 64 Time: 0.136 (0.334) Loss: 1.3039 (1.4823) Acc@1: 52.8846 (47.7151)Acc@5: 98.0769 (97.8495) +2024-12-26 14:49:24,515 - train: [ INFO] - Train: 65 [ 0/52 ( 0%)] Loss: 2.234276 (2.2343) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.573s, 81.37/s (1.573s, 81.37/s) LR: 1.779e-04 Data: 1.176 (1.176) +2024-12-26 14:49:43,561 - train: [ INFO] - Train: 65 [ 50/52 ( 98%)] Loss: 2.300496 (2.2674) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.74/s (0.403s, 317.60/s) LR: 1.779e-04 Data: 0.000 (0.024) +2024-12-26 14:49:43,940 - train: [ INFO] - Train: 65 [ 51/52 (100%)] Loss: 2.250820 (2.2619) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.06/s (0.402s, 318.02/s) LR: 1.779e-04 Data: 0.000 (0.024) +2024-12-26 14:49:45,309 - train: [ INFO] - Eval : 65 Time: 1.156 (1.156) Loss: 1.0091 (1.0091) Acc@1: 66.4062 (66.4062)Acc@5: 98.4375 (98.4375) +2024-12-26 14:49:46,049 - train: [ INFO] - Eval : 65 Time: 0.131 (0.316) Loss: 1.1440 (1.0631) Acc@1: 60.5769 (65.1882)Acc@5: 96.1538 (97.8495) +2024-12-26 14:49:48,142 - train: [ INFO] - Train: 66 [ 0/52 ( 0%)] Loss: 2.280991 (2.2810) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.449s, 88.34/s (1.449s, 88.34/s) LR: 1.694e-04 Data: 1.022 (1.022) +2024-12-26 14:50:07,205 - train: [ INFO] - Train: 66 [ 50/52 ( 98%)] Loss: 2.264675 (2.2728) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.367s, 349.04/s (0.401s, 319.22/s) LR: 1.694e-04 Data: 0.000 (0.021) +2024-12-26 14:50:07,586 - train: [ INFO] - Train: 66 [ 51/52 (100%)] Loss: 2.233904 (2.2599) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.378s, 339.04/s (0.401s, 319.58/s) LR: 1.694e-04 Data: 0.000 (0.021) +2024-12-26 14:50:09,072 - train: [ INFO] - Eval : 66 Time: 1.312 (1.312) Loss: 1.1667 (1.1667) Acc@1: 60.1562 (60.1562)Acc@5: 97.6562 (97.6562) +2024-12-26 14:50:09,815 - train: [ INFO] - Eval : 66 Time: 0.139 (0.343) Loss: 1.0543 (1.1030) Acc@1: 59.6154 (61.0215)Acc@5: 98.0769 (97.9839) +2024-12-26 14:50:12,106 - train: [ INFO] - Train: 67 [ 0/52 ( 0%)] Loss: 2.135510 (2.1355) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.581s, 80.95/s (1.581s, 80.95/s) LR: 1.610e-04 Data: 1.155 (1.155) +2024-12-26 14:50:30,864 - train: [ INFO] - Train: 67 [ 50/52 ( 98%)] Loss: 2.145082 (2.1403) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.43/s (0.398s, 321.87/s) LR: 1.610e-04 Data: 0.000 (0.024) +2024-12-26 14:50:31,236 - train: [ INFO] - Train: 67 [ 51/52 (100%)] Loss: 2.200608 (2.1604) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.63/s (0.397s, 322.31/s) LR: 1.610e-04 Data: 0.000 (0.023) +2024-12-26 14:50:32,708 - train: [ INFO] - Eval : 67 Time: 1.274 (1.274) Loss: 1.1719 (1.1719) Acc@1: 62.5000 (62.5000)Acc@5: 98.4375 (98.4375) +2024-12-26 14:50:33,437 - train: [ INFO] - Eval : 67 Time: 0.138 (0.334) Loss: 1.1380 (1.0791) Acc@1: 63.4615 (61.9624)Acc@5: 96.1538 (98.3871) +2024-12-26 14:50:36,310 - train: [ INFO] - Train: 68 [ 0/52 ( 0%)] Loss: 2.261249 (2.2612) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.190s, 58.45/s (2.190s, 58.45/s) LR: 1.527e-04 Data: 1.775 (1.775) +2024-12-26 14:50:55,177 - train: [ INFO] - Train: 68 [ 50/52 ( 98%)] Loss: 2.158699 (2.2100) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.365s, 350.92/s (0.412s, 310.52/s) LR: 1.527e-04 Data: 0.000 (0.036) +2024-12-26 14:50:55,548 - train: [ INFO] - Train: 68 [ 51/52 (100%)] Loss: 2.249496 (2.2231) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.368s, 348.29/s (0.411s, 311.17/s) LR: 1.527e-04 Data: 0.000 (0.035) +2024-12-26 14:50:57,038 - train: [ INFO] - Eval : 68 Time: 1.271 (1.271) Loss: 0.9875 (0.9875) Acc@1: 64.0625 (64.0625)Acc@5: 98.4375 (98.4375) +2024-12-26 14:50:57,765 - train: [ INFO] - Eval : 68 Time: 0.131 (0.333) Loss: 0.9261 (0.9790) Acc@1: 68.2692 (66.8011)Acc@5: 97.1154 (97.7151) +2024-12-26 14:51:00,355 - train: [ INFO] - Train: 69 [ 0/52 ( 0%)] Loss: 2.175936 (2.1759) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.904s, 67.23/s (1.904s, 67.23/s) LR: 1.447e-04 Data: 1.474 (1.474) +2024-12-26 14:51:19,170 - train: [ INFO] - Train: 69 [ 50/52 ( 98%)] Loss: 2.206543 (2.1912) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.368s, 348.08/s (0.406s, 315.64/s) LR: 1.447e-04 Data: 0.000 (0.030) +2024-12-26 14:51:19,544 - train: [ INFO] - Train: 69 [ 51/52 (100%)] Loss: 2.226449 (2.2030) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.372s, 344.47/s (0.405s, 316.15/s) LR: 1.447e-04 Data: 0.000 (0.029) +2024-12-26 14:51:22,153 - train: [ INFO] - Eval : 69 Time: 2.401 (2.401) Loss: 1.1620 (1.1620) Acc@1: 58.5938 (58.5938)Acc@5: 99.2188 (99.2188) +2024-12-26 14:51:22,922 - train: [ INFO] - Eval : 69 Time: 0.146 (0.528) Loss: 0.8878 (0.9590) Acc@1: 66.3462 (65.5914)Acc@5: 100.0000 (98.9247) +2024-12-26 14:51:25,491 - train: [ INFO] - Train: 70 [ 0/52 ( 0%)] Loss: 2.231960 (2.2320) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.862s, 68.74/s (1.862s, 68.74/s) LR: 1.368e-04 Data: 1.459 (1.459) +2024-12-26 14:51:44,476 - train: [ INFO] - Train: 70 [ 50/52 ( 98%)] Loss: 2.254729 (2.2433) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.368s, 348.14/s (0.408s, 313.72/s) LR: 1.368e-04 Data: 0.000 (0.030) +2024-12-26 14:51:44,847 - train: [ INFO] - Train: 70 [ 51/52 (100%)] Loss: 2.195507 (2.2274) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.36/s (0.407s, 314.30/s) LR: 1.368e-04 Data: 0.000 (0.029) +2024-12-26 14:51:48,031 - train: [ INFO] - Eval : 70 Time: 2.996 (2.996) Loss: 1.0750 (1.0750) Acc@1: 60.9375 (60.9375)Acc@5: 98.4375 (98.4375) +2024-12-26 14:51:48,782 - train: [ INFO] - Eval : 70 Time: 0.131 (0.624) Loss: 1.2007 (0.9904) Acc@1: 56.7308 (65.9946)Acc@5: 98.0769 (97.9839) +2024-12-26 14:51:51,529 - train: [ INFO] - Train: 71 [ 0/52 ( 0%)] Loss: 2.393695 (2.3937) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.066s, 61.96/s (2.066s, 61.96/s) LR: 1.290e-04 Data: 1.652 (1.652) +2024-12-26 14:52:10,390 - train: [ INFO] - Train: 71 [ 50/52 ( 98%)] Loss: 2.175536 (2.2846) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.371s, 345.34/s (0.409s, 312.70/s) LR: 1.290e-04 Data: 0.000 (0.033) +2024-12-26 14:52:10,765 - train: [ INFO] - Train: 71 [ 51/52 (100%)] Loss: 2.355340 (2.3082) Acc@1: 96.8750 (97.9167) Acc@5: 100.0000 (100.0000) Time: 0.373s, 343.42/s (0.409s, 313.24/s) LR: 1.290e-04 Data: 0.000 (0.033) +2024-12-26 14:52:12,585 - train: [ INFO] - Eval : 71 Time: 1.627 (1.627) Loss: 0.9175 (0.9175) Acc@1: 66.4062 (66.4062)Acc@5: 100.0000 (100.0000) +2024-12-26 14:52:13,314 - train: [ INFO] - Eval : 71 Time: 0.134 (0.393) Loss: 0.8840 (0.9573) Acc@1: 69.2308 (65.0538)Acc@5: 100.0000 (99.5968) +2024-12-26 14:52:16,934 - train: [ INFO] - Train: 72 [ 0/52 ( 0%)] Loss: 2.065126 (2.0651) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.375s, 53.90/s (2.375s, 53.90/s) LR: 1.215e-04 Data: 1.953 (1.953) +2024-12-26 14:52:35,715 - train: [ INFO] - Train: 72 [ 50/52 ( 98%)] Loss: 2.292308 (2.1787) Acc@1: 97.6562 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.366s, 349.88/s (0.414s, 309.08/s) LR: 1.215e-04 Data: 0.000 (0.039) +2024-12-26 14:52:36,093 - train: [ INFO] - Train: 72 [ 51/52 (100%)] Loss: 2.242145 (2.1999) Acc@1: 98.4375 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.79/s (0.413s, 309.65/s) LR: 1.215e-04 Data: 0.000 (0.039) +2024-12-26 14:52:37,489 - train: [ INFO] - Eval : 72 Time: 1.272 (1.272) Loss: 0.9131 (0.9131) Acc@1: 74.2188 (74.2188)Acc@5: 96.8750 (96.8750) +2024-12-26 14:52:38,226 - train: [ INFO] - Eval : 72 Time: 0.134 (0.335) Loss: 1.0976 (0.9656) Acc@1: 66.3462 (69.8925)Acc@5: 99.0385 (97.9839) +2024-12-26 14:52:40,499 - train: [ INFO] - Train: 73 [ 0/52 ( 0%)] Loss: 2.065488 (2.0655) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.597s, 80.17/s (1.597s, 80.17/s) LR: 1.141e-04 Data: 1.151 (1.151) +2024-12-26 14:52:59,367 - train: [ INFO] - Train: 73 [ 50/52 ( 98%)] Loss: 2.202988 (2.1342) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.389s, 328.96/s (0.400s, 320.01/s) LR: 1.141e-04 Data: 0.000 (0.023) +2024-12-26 14:52:59,740 - train: [ INFO] - Train: 73 [ 51/52 (100%)] Loss: 2.170755 (2.1464) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.370s, 345.69/s (0.399s, 320.47/s) LR: 1.141e-04 Data: 0.000 (0.023) +2024-12-26 14:53:01,253 - train: [ INFO] - Eval : 73 Time: 1.335 (1.335) Loss: 1.0139 (1.0139) Acc@1: 64.0625 (64.0625)Acc@5: 100.0000 (100.0000) +2024-12-26 14:53:01,972 - train: [ INFO] - Eval : 73 Time: 0.135 (0.343) Loss: 1.2731 (1.0711) Acc@1: 58.6538 (60.7527)Acc@5: 99.0385 (99.1935) +2024-12-26 14:53:04,069 - train: [ INFO] - Train: 74 [ 0/52 ( 0%)] Loss: 2.178845 (2.1788) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.482s, 86.38/s (1.482s, 86.38/s) LR: 1.070e-04 Data: 1.068 (1.068) +2024-12-26 14:53:22,985 - train: [ INFO] - Train: 74 [ 50/52 ( 98%)] Loss: 2.217411 (2.1981) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.26/s (0.399s, 321.02/s) LR: 1.070e-04 Data: 0.000 (0.022) +2024-12-26 14:53:23,369 - train: [ INFO] - Train: 74 [ 51/52 (100%)] Loss: 2.191153 (2.1958) Acc@1: 97.6562 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.69/s (0.398s, 321.51/s) LR: 1.070e-04 Data: 0.000 (0.022) +2024-12-26 14:53:24,943 - train: [ INFO] - Eval : 74 Time: 1.394 (1.394) Loss: 0.8900 (0.8900) Acc@1: 67.1875 (67.1875)Acc@5: 98.4375 (98.4375) +2024-12-26 14:53:25,700 - train: [ INFO] - Eval : 74 Time: 0.134 (0.358) Loss: 1.0413 (0.9881) Acc@1: 63.4615 (65.4570)Acc@5: 97.1154 (98.1183) +2024-12-26 14:53:28,273 - train: [ INFO] - Train: 75 [ 0/52 ( 0%)] Loss: 2.229114 (2.2291) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.941s, 65.96/s (1.941s, 65.96/s) LR: 1.001e-04 Data: 1.504 (1.504) +2024-12-26 14:53:47,199 - train: [ INFO] - Train: 75 [ 50/52 ( 98%)] Loss: 2.250381 (2.2397) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.369s, 347.22/s (0.408s, 313.62/s) LR: 1.001e-04 Data: 0.000 (0.031) +2024-12-26 14:53:47,569 - train: [ INFO] - Train: 75 [ 51/52 (100%)] Loss: 2.134050 (2.2045) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.368s, 348.08/s (0.407s, 314.22/s) LR: 1.001e-04 Data: 0.000 (0.030) +2024-12-26 14:53:49,107 - train: [ INFO] - Eval : 75 Time: 1.386 (1.386) Loss: 0.8439 (0.8439) Acc@1: 75.0000 (75.0000)Acc@5: 98.4375 (98.4375) +2024-12-26 14:53:49,834 - train: [ INFO] - Eval : 75 Time: 0.143 (0.352) Loss: 1.1431 (1.0164) Acc@1: 62.5000 (65.9946)Acc@5: 97.1154 (98.2527) +2024-12-26 14:53:52,609 - train: [ INFO] - Train: 76 [ 0/52 ( 0%)] Loss: 2.369069 (2.3691) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.043s, 62.66/s (2.043s, 62.66/s) LR: 9.334e-05 Data: 1.592 (1.592) +2024-12-26 14:54:11,476 - train: [ INFO] - Train: 76 [ 50/52 ( 98%)] Loss: 2.142758 (2.2559) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.395s, 323.70/s (0.409s, 313.05/s) LR: 9.334e-05 Data: 0.000 (0.032) +2024-12-26 14:54:11,859 - train: [ INFO] - Train: 76 [ 51/52 (100%)] Loss: 2.135366 (2.2157) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.54/s (0.408s, 313.49/s) LR: 9.334e-05 Data: 0.000 (0.032) +2024-12-26 14:54:13,906 - train: [ INFO] - Eval : 76 Time: 1.834 (1.834) Loss: 0.8756 (0.8756) Acc@1: 68.7500 (68.7500)Acc@5: 99.2188 (99.2188) +2024-12-26 14:54:14,668 - train: [ INFO] - Eval : 76 Time: 0.153 (0.434) Loss: 1.0871 (1.0152) Acc@1: 64.4231 (64.2473)Acc@5: 99.0385 (98.7903) +2024-12-26 14:54:18,130 - train: [ INFO] - Train: 77 [ 0/52 ( 0%)] Loss: 2.181077 (2.1811) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.377s, 53.85/s (2.377s, 53.85/s) LR: 8.684e-05 Data: 1.941 (1.941) +2024-12-26 14:54:36,892 - train: [ INFO] - Train: 77 [ 50/52 ( 98%)] Loss: 2.214602 (2.1978) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.56/s (0.414s, 309.48/s) LR: 8.684e-05 Data: 0.000 (0.039) +2024-12-26 14:54:37,276 - train: [ INFO] - Train: 77 [ 51/52 (100%)] Loss: 2.040158 (2.1453) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.34/s (0.413s, 309.94/s) LR: 8.684e-05 Data: 0.000 (0.038) +2024-12-26 14:54:40,085 - train: [ INFO] - Eval : 77 Time: 2.602 (2.602) Loss: 0.8139 (0.8139) Acc@1: 70.3125 (70.3125)Acc@5: 100.0000 (100.0000) +2024-12-26 14:54:40,794 - train: [ INFO] - Eval : 77 Time: 0.129 (0.552) Loss: 0.9489 (0.9509) Acc@1: 71.1538 (67.0699)Acc@5: 99.0385 (97.9839) +2024-12-26 14:54:43,777 - train: [ INFO] - Train: 78 [ 0/52 ( 0%)] Loss: 2.132676 (2.1327) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.312s, 55.37/s (2.312s, 55.37/s) LR: 8.057e-05 Data: 1.861 (1.861) +2024-12-26 14:55:02,514 - train: [ INFO] - Train: 78 [ 50/52 ( 98%)] Loss: 2.150516 (2.1416) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.57/s (0.412s, 310.66/s) LR: 8.057e-05 Data: 0.000 (0.037) +2024-12-26 14:55:02,882 - train: [ INFO] - Train: 78 [ 51/52 (100%)] Loss: 2.203598 (2.1623) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.366s, 349.88/s (0.411s, 311.33/s) LR: 8.057e-05 Data: 0.000 (0.037) +2024-12-26 14:55:05,780 - train: [ INFO] - Eval : 78 Time: 2.742 (2.742) Loss: 0.9107 (0.9107) Acc@1: 69.5312 (69.5312)Acc@5: 99.2188 (99.2188) +2024-12-26 14:55:06,506 - train: [ INFO] - Eval : 78 Time: 0.143 (0.578) Loss: 0.9202 (0.9302) Acc@1: 70.1923 (67.2043)Acc@5: 96.1538 (98.2527) +2024-12-26 14:55:09,209 - train: [ INFO] - Train: 79 [ 0/52 ( 0%)] Loss: 2.063963 (2.0640) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.030s, 63.05/s (2.030s, 63.05/s) LR: 7.453e-05 Data: 1.612 (1.612) +2024-12-26 14:55:28,040 - train: [ INFO] - Train: 79 [ 50/52 ( 98%)] Loss: 2.176612 (2.1203) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.85/s (0.408s, 313.60/s) LR: 7.453e-05 Data: 0.000 (0.033) +2024-12-26 14:55:28,439 - train: [ INFO] - Train: 79 [ 51/52 (100%)] Loss: 2.148571 (2.1297) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.71/s (0.407s, 314.21/s) LR: 7.453e-05 Data: 0.000 (0.032) +2024-12-26 14:55:30,661 - train: [ INFO] - Eval : 79 Time: 2.030 (2.030) Loss: 1.1201 (1.1201) Acc@1: 63.2812 (63.2812)Acc@5: 100.0000 (100.0000) +2024-12-26 14:55:31,400 - train: [ INFO] - Eval : 79 Time: 0.146 (0.462) Loss: 0.9782 (1.0276) Acc@1: 61.5385 (64.3817)Acc@5: 100.0000 (99.0591) +2024-12-26 14:55:34,820 - train: [ INFO] - Train: 80 [ 0/52 ( 0%)] Loss: 2.087455 (2.0875) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.742s, 46.67/s (2.742s, 46.67/s) LR: 6.873e-05 Data: 2.332 (2.332) +2024-12-26 14:55:53,766 - train: [ INFO] - Train: 80 [ 50/52 ( 98%)] Loss: 2.273923 (2.1807) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.69/s (0.424s, 301.81/s) LR: 6.873e-05 Data: 0.000 (0.047) +2024-12-26 14:55:54,144 - train: [ INFO] - Train: 80 [ 51/52 (100%)] Loss: 2.102306 (2.1546) Acc@1: 97.6562 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.73/s (0.423s, 302.47/s) LR: 6.873e-05 Data: 0.000 (0.046) +2024-12-26 14:55:56,888 - train: [ INFO] - Eval : 80 Time: 2.601 (2.601) Loss: 1.1479 (1.1479) Acc@1: 60.9375 (60.9375)Acc@5: 95.3125 (95.3125) +2024-12-26 14:55:57,639 - train: [ INFO] - Eval : 80 Time: 0.133 (0.559) Loss: 0.8952 (0.9839) Acc@1: 70.1923 (66.1290)Acc@5: 100.0000 (97.5806) +2024-12-26 14:56:01,601 - train: [ INFO] - Train: 81 [ 0/52 ( 0%)] Loss: 2.095461 (2.0955) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.672s, 47.90/s (2.672s, 47.90/s) LR: 6.317e-05 Data: 2.249 (2.249) +2024-12-26 14:56:20,442 - train: [ INFO] - Train: 81 [ 50/52 ( 98%)] Loss: 2.221897 (2.1587) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.11/s (0.421s, 304.28/s) LR: 6.317e-05 Data: 0.000 (0.045) +2024-12-26 14:56:20,820 - train: [ INFO] - Train: 81 [ 51/52 (100%)] Loss: 2.038888 (2.1187) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.58/s (0.420s, 304.92/s) LR: 6.317e-05 Data: 0.000 (0.044) +2024-12-26 14:56:23,080 - train: [ INFO] - Eval : 81 Time: 2.065 (2.065) Loss: 0.7890 (0.7890) Acc@1: 71.8750 (71.8750)Acc@5: 100.0000 (100.0000) +2024-12-26 14:56:23,813 - train: [ INFO] - Eval : 81 Time: 0.135 (0.467) Loss: 0.8716 (0.9539) Acc@1: 74.0385 (68.2796)Acc@5: 100.0000 (98.6559) +2024-12-26 14:56:28,467 - train: [ INFO] - Train: 82 [ 0/52 ( 0%)] Loss: 2.153224 (2.1532) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.172s, 40.35/s (3.172s, 40.35/s) LR: 5.787e-05 Data: 2.734 (2.734) +2024-12-26 14:56:47,389 - train: [ INFO] - Train: 82 [ 50/52 ( 98%)] Loss: 1.995191 (2.0742) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.378s, 339.00/s (0.432s, 296.17/s) LR: 5.787e-05 Data: 0.000 (0.055) +2024-12-26 14:56:47,773 - train: [ INFO] - Train: 82 [ 51/52 (100%)] Loss: 2.175573 (2.1080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.38/s (0.431s, 296.91/s) LR: 5.787e-05 Data: 0.000 (0.054) +2024-12-26 14:56:49,265 - train: [ INFO] - Eval : 82 Time: 1.307 (1.307) Loss: 1.0092 (1.0092) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 14:56:50,012 - train: [ INFO] - Eval : 82 Time: 0.141 (0.342) Loss: 1.1013 (0.9721) Acc@1: 62.5000 (65.8602)Acc@5: 98.0769 (98.7903) +2024-12-26 14:56:53,282 - train: [ INFO] - Train: 83 [ 0/52 ( 0%)] Loss: 2.187980 (2.1880) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 2.044s, 62.63/s (2.044s, 62.63/s) LR: 5.282e-05 Data: 1.562 (1.562) +2024-12-26 14:57:12,237 - train: [ INFO] - Train: 83 [ 50/52 ( 98%)] Loss: 2.241436 (2.2147) Acc@1: 97.6562 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.32/s (0.410s, 312.48/s) LR: 5.282e-05 Data: 0.000 (0.032) +2024-12-26 14:57:12,608 - train: [ INFO] - Train: 83 [ 51/52 (100%)] Loss: 2.064470 (2.1646) Acc@1: 100.0000 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.78/s (0.409s, 313.11/s) LR: 5.282e-05 Data: 0.000 (0.032) +2024-12-26 14:57:14,100 - train: [ INFO] - Eval : 83 Time: 1.254 (1.254) Loss: 1.0573 (1.0573) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 14:57:14,867 - train: [ INFO] - Eval : 83 Time: 0.132 (0.337) Loss: 1.1281 (0.9806) Acc@1: 60.5769 (66.5323)Acc@5: 98.0769 (98.2527) +2024-12-26 14:57:17,138 - train: [ INFO] - Train: 84 [ 0/52 ( 0%)] Loss: 2.050892 (2.0509) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.572s, 81.41/s (1.572s, 81.41/s) LR: 4.804e-05 Data: 1.170 (1.170) +2024-12-26 14:57:36,012 - train: [ INFO] - Train: 84 [ 50/52 ( 98%)] Loss: 2.196558 (2.1237) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.88/s (0.400s, 319.89/s) LR: 4.804e-05 Data: 0.000 (0.024) +2024-12-26 14:57:36,391 - train: [ INFO] - Train: 84 [ 51/52 (100%)] Loss: 2.119197 (2.1222) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.89/s (0.400s, 320.26/s) LR: 4.804e-05 Data: 0.000 (0.024) +2024-12-26 14:57:37,990 - train: [ INFO] - Eval : 84 Time: 1.392 (1.392) Loss: 0.9701 (0.9701) Acc@1: 60.1562 (60.1562)Acc@5: 100.0000 (100.0000) +2024-12-26 14:57:38,689 - train: [ INFO] - Eval : 84 Time: 0.133 (0.349) Loss: 0.8979 (0.9484) Acc@1: 72.1154 (66.2634)Acc@5: 98.0769 (99.1935) +2024-12-26 14:57:40,777 - train: [ INFO] - Train: 85 [ 0/52 ( 0%)] Loss: 2.075498 (2.0755) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.400s, 91.40/s (1.400s, 91.40/s) LR: 4.352e-05 Data: 1.018 (1.018) +2024-12-26 14:57:59,534 - train: [ INFO] - Train: 85 [ 50/52 ( 98%)] Loss: 2.017917 (2.0467) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.365s, 350.33/s (0.394s, 324.75/s) LR: 4.352e-05 Data: 0.000 (0.021) +2024-12-26 14:57:59,925 - train: [ INFO] - Train: 85 [ 51/52 (100%)] Loss: 2.073936 (2.0558) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.370s, 345.87/s (0.394s, 325.13/s) LR: 4.352e-05 Data: 0.000 (0.021) +2024-12-26 14:58:01,697 - train: [ INFO] - Eval : 85 Time: 1.542 (1.542) Loss: 0.9115 (0.9115) Acc@1: 66.4062 (66.4062)Acc@5: 100.0000 (100.0000) +2024-12-26 14:58:02,416 - train: [ INFO] - Eval : 85 Time: 0.130 (0.377) Loss: 0.8506 (0.9484) Acc@1: 69.2308 (65.8602)Acc@5: 100.0000 (99.0591) +2024-12-26 14:58:04,488 - train: [ INFO] - Train: 86 [ 0/52 ( 0%)] Loss: 2.219244 (2.2192) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.436s, 89.16/s (1.436s, 89.16/s) LR: 3.927e-05 Data: 1.023 (1.023) +2024-12-26 14:58:23,289 - train: [ INFO] - Train: 86 [ 50/52 ( 98%)] Loss: 2.054034 (2.1366) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.34/s (0.396s, 323.28/s) LR: 3.927e-05 Data: 0.000 (0.021) +2024-12-26 14:58:23,690 - train: [ INFO] - Train: 86 [ 51/52 (100%)] Loss: 2.139532 (2.1376) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.02/s (0.396s, 323.59/s) LR: 3.927e-05 Data: 0.000 (0.021) +2024-12-26 14:58:26,155 - train: [ INFO] - Eval : 86 Time: 2.260 (2.260) Loss: 0.9799 (0.9799) Acc@1: 67.1875 (67.1875)Acc@5: 98.4375 (98.4375) +2024-12-26 14:58:26,855 - train: [ INFO] - Eval : 86 Time: 0.131 (0.493) Loss: 0.7673 (0.9523) Acc@1: 74.0385 (67.3387)Acc@5: 99.0385 (98.5215) +2024-12-26 14:58:29,143 - train: [ INFO] - Train: 87 [ 0/52 ( 0%)] Loss: 2.161099 (2.1611) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.583s, 80.83/s (1.583s, 80.83/s) LR: 3.529e-05 Data: 1.155 (1.155) +2024-12-26 14:58:48,225 - train: [ INFO] - Train: 87 [ 50/52 ( 98%)] Loss: 2.066917 (2.1140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.38/s (0.404s, 316.73/s) LR: 3.529e-05 Data: 0.000 (0.024) +2024-12-26 14:58:48,593 - train: [ INFO] - Train: 87 [ 51/52 (100%)] Loss: 2.243388 (2.1571) Acc@1: 98.4375 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.366s, 350.12/s (0.403s, 317.31/s) LR: 3.529e-05 Data: 0.000 (0.023) +2024-12-26 14:58:51,369 - train: [ INFO] - Eval : 87 Time: 2.586 (2.586) Loss: 1.0478 (1.0478) Acc@1: 60.1562 (60.1562)Acc@5: 97.6562 (97.6562) +2024-12-26 14:58:52,114 - train: [ INFO] - Eval : 87 Time: 0.131 (0.555) Loss: 0.9733 (0.9720) Acc@1: 61.5385 (65.3226)Acc@5: 99.0385 (98.6559) +2024-12-26 14:58:54,439 - train: [ INFO] - Train: 88 [ 0/52 ( 0%)] Loss: 2.070534 (2.0705) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.664s, 76.91/s (1.664s, 76.91/s) LR: 3.159e-05 Data: 1.250 (1.250) +2024-12-26 14:59:13,355 - train: [ INFO] - Train: 88 [ 50/52 ( 98%)] Loss: 2.169900 (2.1202) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.367s, 349.03/s (0.403s, 317.71/s) LR: 3.159e-05 Data: 0.000 (0.026) +2024-12-26 14:59:13,725 - train: [ INFO] - Train: 88 [ 51/52 (100%)] Loss: 2.092078 (2.1108) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.366s, 349.51/s (0.402s, 318.27/s) LR: 3.159e-05 Data: 0.000 (0.025) +2024-12-26 14:59:16,657 - train: [ INFO] - Eval : 88 Time: 2.775 (2.775) Loss: 1.0542 (1.0542) Acc@1: 59.3750 (59.3750)Acc@5: 97.6562 (97.6562) +2024-12-26 14:59:17,397 - train: [ INFO] - Eval : 88 Time: 0.151 (0.586) Loss: 0.7782 (0.9423) Acc@1: 75.9615 (68.1452)Acc@5: 98.0769 (97.9839) +2024-12-26 14:59:19,985 - train: [ INFO] - Train: 89 [ 0/52 ( 0%)] Loss: 2.052738 (2.0527) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.923s, 66.56/s (1.923s, 66.56/s) LR: 2.818e-05 Data: 1.501 (1.501) +2024-12-26 14:59:38,974 - train: [ INFO] - Train: 89 [ 50/52 ( 98%)] Loss: 2.154636 (2.1037) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.370s, 346.26/s (0.409s, 312.80/s) LR: 2.818e-05 Data: 0.000 (0.030) +2024-12-26 14:59:39,344 - train: [ INFO] - Train: 89 [ 51/52 (100%)] Loss: 2.129822 (2.1124) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.368s, 348.20/s (0.408s, 313.41/s) LR: 2.818e-05 Data: 0.000 (0.030) +2024-12-26 14:59:41,420 - train: [ INFO] - Eval : 89 Time: 1.849 (1.849) Loss: 0.9664 (0.9664) Acc@1: 66.4062 (66.4062)Acc@5: 98.4375 (98.4375) +2024-12-26 14:59:42,214 - train: [ INFO] - Eval : 89 Time: 0.161 (0.441) Loss: 0.8292 (0.9594) Acc@1: 76.9231 (66.9355)Acc@5: 98.0769 (97.4462) +2024-12-26 14:59:46,686 - train: [ INFO] - Train: 90 [ 0/52 ( 0%)] Loss: 2.080360 (2.0804) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.646s, 48.38/s (2.646s, 48.38/s) LR: 2.505e-05 Data: 2.229 (2.229) +2024-12-26 15:00:05,679 - train: [ INFO] - Train: 90 [ 50/52 ( 98%)] Loss: 2.032178 (2.0563) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.372s, 344.07/s (0.423s, 302.68/s) LR: 2.505e-05 Data: 0.000 (0.045) +2024-12-26 15:00:06,073 - train: [ INFO] - Train: 90 [ 51/52 (100%)] Loss: 2.177982 (2.0968) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.390s, 328.49/s (0.422s, 303.14/s) LR: 2.505e-05 Data: 0.000 (0.044) +2024-12-26 15:00:07,462 - train: [ INFO] - Eval : 90 Time: 1.226 (1.226) Loss: 0.7574 (0.7574) Acc@1: 71.0938 (71.0938)Acc@5: 100.0000 (100.0000) +2024-12-26 15:00:08,188 - train: [ INFO] - Eval : 90 Time: 0.145 (0.325) Loss: 1.0421 (0.9524) Acc@1: 67.3077 (66.5323)Acc@5: 97.1154 (98.3871) +2024-12-26 15:00:10,268 - train: [ INFO] - Train: 91 [ 0/52 ( 0%)] Loss: 2.065240 (2.0652) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.410s, 90.75/s (1.410s, 90.75/s) LR: 2.221e-05 Data: 1.033 (1.033) +2024-12-26 15:00:29,138 - train: [ INFO] - Train: 91 [ 50/52 ( 98%)] Loss: 2.047264 (2.0563) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.62/s (0.397s, 322.73/s) LR: 2.221e-05 Data: 0.000 (0.021) +2024-12-26 15:00:29,507 - train: [ INFO] - Train: 91 [ 51/52 (100%)] Loss: 2.018819 (2.0438) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.366s, 350.12/s (0.396s, 323.21/s) LR: 2.221e-05 Data: 0.000 (0.021) +2024-12-26 15:00:31,061 - train: [ INFO] - Eval : 91 Time: 1.333 (1.333) Loss: 0.7352 (0.7352) Acc@1: 71.8750 (71.8750)Acc@5: 100.0000 (100.0000) +2024-12-26 15:00:31,765 - train: [ INFO] - Eval : 91 Time: 0.133 (0.340) Loss: 1.0005 (0.9540) Acc@1: 63.4615 (65.9946)Acc@5: 99.0385 (98.6559) +2024-12-26 15:00:33,898 - train: [ INFO] - Train: 92 [ 0/52 ( 0%)] Loss: 2.049735 (2.0497) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.429s, 89.57/s (1.429s, 89.57/s) LR: 1.966e-05 Data: 1.045 (1.045) +2024-12-26 15:00:52,957 - train: [ INFO] - Train: 92 [ 50/52 ( 98%)] Loss: 2.078819 (2.0643) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.65/s (0.400s, 319.75/s) LR: 1.966e-05 Data: 0.000 (0.022) +2024-12-26 15:00:53,352 - train: [ INFO] - Train: 92 [ 51/52 (100%)] Loss: 2.117381 (2.0820) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.32/s (0.400s, 319.87/s) LR: 1.966e-05 Data: 0.000 (0.021) +2024-12-26 15:00:55,373 - train: [ INFO] - Eval : 92 Time: 1.856 (1.856) Loss: 0.9178 (0.9178) Acc@1: 67.1875 (67.1875)Acc@5: 100.0000 (100.0000) +2024-12-26 15:00:56,070 - train: [ INFO] - Eval : 92 Time: 0.113 (0.425) Loss: 0.8624 (0.9334) Acc@1: 71.1538 (66.6667)Acc@5: 100.0000 (98.6559) +2024-12-26 15:00:58,097 - train: [ INFO] - Train: 93 [ 0/52 ( 0%)] Loss: 2.106853 (2.1069) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.401s, 91.39/s (1.401s, 91.39/s) LR: 1.741e-05 Data: 1.012 (1.012) +2024-12-26 15:01:16,908 - train: [ INFO] - Train: 93 [ 50/52 ( 98%)] Loss: 2.100477 (2.1037) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.375s, 340.90/s (0.395s, 323.85/s) LR: 1.741e-05 Data: 0.000 (0.021) +2024-12-26 15:01:17,285 - train: [ INFO] - Train: 93 [ 51/52 (100%)] Loss: 2.064469 (2.0906) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.22/s (0.395s, 324.19/s) LR: 1.741e-05 Data: 0.000 (0.020) +2024-12-26 15:01:18,916 - train: [ INFO] - Eval : 93 Time: 1.466 (1.466) Loss: 0.8511 (0.8511) Acc@1: 68.7500 (68.7500)Acc@5: 100.0000 (100.0000) +2024-12-26 15:01:19,691 - train: [ INFO] - Eval : 93 Time: 0.144 (0.373) Loss: 0.8609 (0.9173) Acc@1: 72.1154 (67.6075)Acc@5: 97.1154 (99.0591) +2024-12-26 15:01:22,755 - train: [ INFO] - Train: 94 [ 0/52 ( 0%)] Loss: 2.094963 (2.0950) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.423s, 52.83/s (2.423s, 52.83/s) LR: 1.545e-05 Data: 2.001 (2.001) +2024-12-26 15:01:41,446 - train: [ INFO] - Train: 94 [ 50/52 ( 98%)] Loss: 2.221357 (2.1582) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.363s, 352.89/s (0.413s, 309.78/s) LR: 1.545e-05 Data: 0.000 (0.040) +2024-12-26 15:01:41,810 - train: [ INFO] - Train: 94 [ 51/52 (100%)] Loss: 2.138716 (2.1517) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.362s, 353.88/s (0.412s, 310.53/s) LR: 1.545e-05 Data: 0.000 (0.039) +2024-12-26 15:01:43,160 - train: [ INFO] - Eval : 94 Time: 1.189 (1.189) Loss: 1.1133 (1.1133) Acc@1: 60.9375 (60.9375)Acc@5: 97.6562 (97.6562) +2024-12-26 15:01:43,883 - train: [ INFO] - Eval : 94 Time: 0.128 (0.319) Loss: 0.9248 (0.9559) Acc@1: 65.3846 (65.5914)Acc@5: 100.0000 (98.9247) +2024-12-26 15:01:46,880 - train: [ INFO] - Train: 95 [ 0/52 ( 0%)] Loss: 2.097753 (2.0978) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.834s, 69.81/s (1.834s, 69.81/s) LR: 1.379e-05 Data: 1.429 (1.429) +2024-12-26 15:02:05,422 - train: [ INFO] - Train: 95 [ 50/52 ( 98%)] Loss: 2.047499 (2.0726) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.363s, 352.80/s (0.398s, 321.36/s) LR: 1.379e-05 Data: 0.000 (0.029) +2024-12-26 15:02:05,810 - train: [ INFO] - Train: 95 [ 51/52 (100%)] Loss: 2.104967 (2.0834) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.16/s (0.398s, 321.56/s) LR: 1.379e-05 Data: 0.000 (0.028) +2024-12-26 15:02:07,345 - train: [ INFO] - Eval : 95 Time: 1.366 (1.366) Loss: 0.8405 (0.8405) Acc@1: 72.6562 (72.6562)Acc@5: 98.4375 (98.4375) +2024-12-26 15:02:08,012 - train: [ INFO] - Eval : 95 Time: 0.116 (0.339) Loss: 0.7884 (0.9419) Acc@1: 75.0000 (66.9355)Acc@5: 100.0000 (98.7903) +2024-12-26 15:02:10,626 - train: [ INFO] - Train: 96 [ 0/52 ( 0%)] Loss: 2.093357 (2.0934) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.570s, 81.54/s (1.570s, 81.54/s) LR: 1.242e-05 Data: 1.122 (1.122) +2024-12-26 15:02:29,378 - train: [ INFO] - Train: 96 [ 50/52 ( 98%)] Loss: 2.067019 (2.0802) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.72/s (0.398s, 321.78/s) LR: 1.242e-05 Data: 0.000 (0.023) +2024-12-26 15:02:29,760 - train: [ INFO] - Train: 96 [ 51/52 (100%)] Loss: 2.041484 (2.0673) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.380s, 337.16/s (0.397s, 322.06/s) LR: 1.242e-05 Data: 0.000 (0.023) +2024-12-26 15:02:31,545 - train: [ INFO] - Eval : 96 Time: 1.613 (1.613) Loss: 1.2229 (1.2229) Acc@1: 60.1562 (60.1562)Acc@5: 97.6562 (97.6562) +2024-12-26 15:02:32,239 - train: [ INFO] - Eval : 96 Time: 0.129 (0.385) Loss: 1.0601 (0.9328) Acc@1: 64.4231 (69.2204)Acc@5: 99.0385 (98.1183) +2024-12-26 15:02:34,530 - train: [ INFO] - Train: 97 [ 0/52 ( 0%)] Loss: 2.020329 (2.0203) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.585s, 80.75/s (1.585s, 80.75/s) LR: 1.136e-05 Data: 1.174 (1.174) +2024-12-26 15:02:53,289 - train: [ INFO] - Train: 97 [ 50/52 ( 98%)] Loss: 2.001667 (2.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.64/s (0.397s, 322.11/s) LR: 1.136e-05 Data: 0.000 (0.024) +2024-12-26 15:02:53,671 - train: [ INFO] - Train: 97 [ 51/52 (100%)] Loss: 2.095844 (2.0393) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.35/s (0.397s, 322.41/s) LR: 1.136e-05 Data: 0.000 (0.023) +2024-12-26 15:02:55,041 - train: [ INFO] - Eval : 97 Time: 1.174 (1.174) Loss: 0.9670 (0.9670) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 15:02:55,792 - train: [ INFO] - Eval : 97 Time: 0.164 (0.321) Loss: 0.9303 (0.9192) Acc@1: 67.3077 (67.6075)Acc@5: 99.0385 (98.6559) +2024-12-26 15:02:59,203 - train: [ INFO] - Train: 98 [ 0/52 ( 0%)] Loss: 2.082563 (2.0826) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.735s, 46.79/s (2.735s, 46.79/s) LR: 1.061e-05 Data: 2.318 (2.318) +2024-12-26 15:03:18,047 - train: [ INFO] - Train: 98 [ 50/52 ( 98%)] Loss: 2.094160 (2.0884) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.68/s (0.422s, 303.23/s) LR: 1.061e-05 Data: 0.000 (0.046) +2024-12-26 15:03:18,421 - train: [ INFO] - Train: 98 [ 51/52 (100%)] Loss: 2.029755 (2.0688) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.371s, 344.73/s (0.421s, 303.93/s) LR: 1.061e-05 Data: 0.000 (0.045) +2024-12-26 15:03:19,833 - train: [ INFO] - Eval : 98 Time: 1.254 (1.254) Loss: 0.9096 (0.9096) Acc@1: 71.0938 (71.0938)Acc@5: 98.4375 (98.4375) +2024-12-26 15:03:20,572 - train: [ INFO] - Eval : 98 Time: 0.144 (0.332) Loss: 1.0138 (0.9348) Acc@1: 68.2692 (66.8011)Acc@5: 99.0385 (98.5215) +2024-12-26 15:03:22,591 - train: [ INFO] - Train: 99 [ 0/52 ( 0%)] Loss: 2.105567 (2.1056) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.354s, 94.55/s (1.354s, 94.55/s) LR: 1.015e-05 Data: 0.980 (0.980) +2024-12-26 15:03:41,404 - train: [ INFO] - Train: 99 [ 50/52 ( 98%)] Loss: 2.098487 (2.1020) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.12/s (0.394s, 324.48/s) LR: 1.015e-05 Data: 0.000 (0.020) +2024-12-26 15:03:41,779 - train: [ INFO] - Train: 99 [ 51/52 (100%)] Loss: 2.036935 (2.0803) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.372s, 343.81/s (0.394s, 324.83/s) LR: 1.015e-05 Data: 0.000 (0.020) +2024-12-26 15:03:43,149 - train: [ INFO] - Eval : 99 Time: 1.211 (1.211) Loss: 0.9449 (0.9449) Acc@1: 67.1875 (67.1875)Acc@5: 99.2188 (99.2188) +2024-12-26 15:03:43,875 - train: [ INFO] - Eval : 99 Time: 0.139 (0.323) Loss: 0.9830 (0.9060) Acc@1: 65.3846 (68.5484)Acc@5: 99.0385 (99.1935) +2024-12-26 15:03:44,591 - train: [ INFO] - *** Best metric: 70.0268824587586 (epoch 35) + diff --git 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audio-visual +model: AVspikformer +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_encode_type: linear +n_groups: 1 +n_preact: false +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +node_resume: '' +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 6 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: ./exp_results +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +rand_step: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 42 +sew_cnf: ADD +shallow_sps: false +sigmoid_thres: false +smoothing: 0.1 +snr: -100 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 4 +suffix: '' +sync_bn: 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+2024-12-26 14:22:03,673 - train: [ INFO] - Training with a single process on 1 GPUs. +2024-12-26 14:22:05,348 - train: [ INFO] - learning rate is 0.000625 +2024-12-26 14:22:08,120 - train: [ INFO] - AMP not enabled. Training in float32. +2024-12-26 14:22:08,123 - train: [ INFO] - Scheduled epochs: 110 +2024-12-26 14:22:22,139 - train: [ INFO] - Train: 0 [ 0/52 ( 0%)] Loss: 1.792055 (1.7921) Acc@1: 14.0625 (14.0625) Acc@5: 82.0312 (82.0312) Time: 13.906s, 9.20/s (13.906s, 9.20/s) LR: 1.000e-06 Data: 10.742 (10.742) +2024-12-26 14:22:54,847 - train: [ INFO] - Train: 0 [ 50/52 ( 98%)] Loss: 1.791092 (1.7916) Acc@1: 16.4062 (15.2344) Acc@5: 83.5938 (82.8125) Time: 0.407s, 314.86/s (0.913s, 140.23/s) LR: 1.000e-06 Data: 0.000 (0.459) +2024-12-26 14:22:55,235 - train: [ INFO] - Train: 0 [ 51/52 (100%)] Loss: 1.791157 (1.7914) Acc@1: 21.0938 (17.1875) Acc@5: 84.3750 (83.3333) Time: 0.385s, 332.42/s (0.903s, 141.81/s) LR: 1.000e-06 Data: 0.000 (0.450) +2024-12-26 14:22:59,988 - train: [ INFO] - Eval : 0 Time: 4.636 (4.636) Loss: 1.7917 (1.7917) Acc@1: 18.7500 (18.7500)Acc@5: 79.6875 (79.6875) +2024-12-26 14:23:00,799 - train: [ INFO] - Eval : 0 Time: 0.122 (0.908) Loss: 1.7919 (1.7918) Acc@1: 11.5385 (16.1290)Acc@5: 79.8077 (81.5860) +2024-12-26 14:23:04,615 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-0.pth.tar', 16.129032278573643) + +2024-12-26 14:23:08,780 - train: [ INFO] - Train: 1 [ 0/52 ( 0%)] Loss: 1.791788 (1.7918) Acc@1: 14.8438 (14.8438) Acc@5: 87.5000 (87.5000) Time: 4.156s, 30.80/s (4.156s, 30.80/s) LR: 1.258e-04 Data: 3.712 (3.712) +2024-12-26 14:23:28,514 - train: [ INFO] - Train: 1 [ 50/52 ( 98%)] Loss: 1.614674 (1.7032) Acc@1: 39.0625 (26.9531) Acc@5: 98.4375 (92.9688) Time: 0.381s, 335.52/s (0.467s, 274.11/s) LR: 1.258e-04 Data: 0.000 (0.074) +2024-12-26 14:23:28,898 - train: [ INFO] - Train: 1 [ 51/52 (100%)] Loss: 1.649484 (1.6853) Acc@1: 35.1562 (29.6875) Acc@5: 96.0938 (94.0104) Time: 0.382s, 335.44/s (0.465s, 275.08/s) LR: 1.258e-04 Data: 0.000 (0.073) +2024-12-26 14:23:31,857 - train: [ INFO] - Eval : 1 Time: 2.803 (2.803) Loss: 1.5817 (1.5817) Acc@1: 39.0625 (39.0625)Acc@5: 96.0938 (96.0938) +2024-12-26 14:23:32,585 - train: [ INFO] - Eval : 1 Time: 0.126 (0.589) Loss: 1.6370 (1.6314) Acc@1: 38.4615 (35.6183)Acc@5: 97.1154 (97.3118) +2024-12-26 14:23:33,967 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-1.pth.tar', 35.61827981600197) + +2024-12-26 14:23:37,376 - train: [ INFO] - Train: 2 [ 0/52 ( 0%)] Loss: 1.675689 (1.6757) Acc@1: 29.6875 (29.6875) Acc@5: 96.0938 (96.0938) Time: 3.065s, 41.76/s (3.065s, 41.76/s) LR: 2.506e-04 Data: 2.608 (2.608) +2024-12-26 14:23:56,841 - train: [ INFO] - Train: 2 [ 50/52 ( 98%)] Loss: 1.616803 (1.6462) Acc@1: 31.2500 (30.4688) Acc@5: 96.8750 (96.4844) Time: 0.381s, 335.88/s (0.441s, 290.46/s) LR: 2.506e-04 Data: 0.000 (0.052) +2024-12-26 14:23:57,243 - train: [ INFO] - Train: 2 [ 51/52 (100%)] Loss: 1.550133 (1.6142) Acc@1: 37.5000 (32.8125) Acc@5: 99.2188 (97.3958) Time: 0.390s, 328.58/s (0.440s, 291.11/s) LR: 2.506e-04 Data: 0.000 (0.051) +2024-12-26 14:23:59,342 - train: [ INFO] - Eval : 2 Time: 1.927 (1.927) Loss: 1.6049 (1.6049) Acc@1: 32.0312 (32.0312)Acc@5: 98.4375 (98.4375) +2024-12-26 14:24:00,163 - train: [ INFO] - Eval : 2 Time: 0.134 (0.458) Loss: 1.5841 (1.5949) Acc@1: 35.5769 (30.6452)Acc@5: 96.1538 (97.0430) +2024-12-26 14:24:03,317 - train: [ INFO] - Train: 3 [ 0/52 ( 0%)] Loss: 1.577177 (1.5772) Acc@1: 40.6250 (40.6250) Acc@5: 96.8750 (96.8750) Time: 2.380s, 53.78/s (2.380s, 53.78/s) LR: 3.754e-04 Data: 1.944 (1.944) +2024-12-26 14:24:22,864 - train: [ INFO] - Train: 3 [ 50/52 ( 98%)] Loss: 1.456811 (1.5170) Acc@1: 46.0938 (43.3594) Acc@5: 98.4375 (97.6562) Time: 0.399s, 320.49/s (0.429s, 298.42/s) LR: 3.754e-04 Data: 0.000 (0.039) +2024-12-26 14:24:23,271 - train: [ INFO] - Train: 3 [ 51/52 (100%)] Loss: 1.601925 (1.5453) Acc@1: 32.8125 (39.8438) Acc@5: 98.4375 (97.9167) Time: 0.404s, 317.20/s (0.428s, 298.76/s) LR: 3.754e-04 Data: 0.000 (0.038) +2024-12-26 14:24:25,378 - train: [ INFO] - Eval : 3 Time: 1.914 (1.914) Loss: 1.3837 (1.3837) Acc@1: 39.8438 (39.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 14:24:26,106 - train: [ INFO] - Eval : 3 Time: 0.133 (0.441) Loss: 1.6426 (1.4784) Acc@1: 33.6538 (37.6344)Acc@5: 98.0769 (98.3871) +2024-12-26 14:24:26,869 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-3.pth.tar', 37.634408684187036) + +2024-12-26 14:24:28,731 - train: [ INFO] - Train: 4 [ 0/52 ( 0%)] Loss: 1.509341 (1.5093) Acc@1: 38.2812 (38.2812) Acc@5: 98.4375 (98.4375) Time: 1.849s, 69.22/s (1.849s, 69.22/s) LR: 5.002e-04 Data: 1.427 (1.427) +2024-12-26 14:24:48,334 - train: [ INFO] - Train: 4 [ 50/52 ( 98%)] Loss: 1.489828 (1.4996) Acc@1: 46.0938 (42.1875) Acc@5: 98.4375 (98.4375) Time: 0.378s, 338.20/s (0.420s, 304.87/s) LR: 5.002e-04 Data: 0.000 (0.029) +2024-12-26 14:24:48,750 - train: [ INFO] - Train: 4 [ 51/52 (100%)] Loss: 1.469320 (1.4895) Acc@1: 45.3125 (43.2292) Acc@5: 96.8750 (97.9167) Time: 0.409s, 312.81/s (0.420s, 305.02/s) LR: 5.002e-04 Data: 0.000 (0.028) +2024-12-26 14:24:50,936 - train: [ INFO] - Eval : 4 Time: 2.018 (2.018) Loss: 1.4624 (1.4624) Acc@1: 40.6250 (40.6250)Acc@5: 97.6562 (97.6562) +2024-12-26 14:24:51,652 - train: [ INFO] - Eval : 4 Time: 0.143 (0.456) Loss: 1.3731 (1.4059) Acc@1: 43.2692 (40.5914)Acc@5: 100.0000 (98.1183) +2024-12-26 14:24:52,409 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-4.pth.tar', 40.59139825964487) + +2024-12-26 14:24:53,786 - train: [ INFO] - Train: 5 [ 0/52 ( 0%)] Loss: 1.404177 (1.4042) Acc@1: 54.6875 (54.6875) Acc@5: 99.2188 (99.2188) Time: 1.359s, 94.22/s (1.359s, 94.22/s) LR: 6.212e-04 Data: 0.966 (0.966) +2024-12-26 14:25:13,400 - train: [ INFO] - Train: 5 [ 50/52 ( 98%)] Loss: 1.454505 (1.4293) Acc@1: 41.4062 (48.0469) Acc@5: 98.4375 (98.8281) Time: 0.380s, 336.41/s (0.410s, 311.95/s) LR: 6.212e-04 Data: 0.000 (0.020) +2024-12-26 14:25:13,784 - train: [ INFO] - Train: 5 [ 51/52 (100%)] Loss: 1.552283 (1.4703) Acc@1: 35.9375 (44.0104) Acc@5: 96.8750 (98.1771) Time: 0.381s, 336.19/s (0.410s, 312.39/s) LR: 6.212e-04 Data: 0.000 (0.020) +2024-12-26 14:25:15,816 - train: [ INFO] - Eval : 5 Time: 1.881 (1.881) Loss: 1.4456 (1.4456) Acc@1: 41.4062 (41.4062)Acc@5: 99.2188 (99.2188) +2024-12-26 14:25:16,553 - train: [ INFO] - Eval : 5 Time: 0.134 (0.436) Loss: 1.5977 (1.5778) Acc@1: 36.5385 (38.3065)Acc@5: 100.0000 (98.6559) +2024-12-26 14:25:18,722 - train: [ INFO] - Train: 6 [ 0/52 ( 0%)] Loss: 1.446403 (1.4464) Acc@1: 46.8750 (46.8750) Acc@5: 98.4375 (98.4375) Time: 1.386s, 92.33/s (1.386s, 92.33/s) LR: 6.196e-04 Data: 0.952 (0.952) +2024-12-26 14:25:38,285 - train: [ INFO] - Train: 6 [ 50/52 ( 98%)] Loss: 1.499280 (1.4728) Acc@1: 42.1875 (44.5312) Acc@5: 96.8750 (97.6562) Time: 0.381s, 335.77/s (0.410s, 312.47/s) LR: 6.196e-04 Data: 0.000 (0.020) +2024-12-26 14:25:38,668 - train: [ INFO] - Train: 6 [ 51/52 (100%)] Loss: 1.402964 (1.4495) Acc@1: 51.5625 (46.8750) Acc@5: 100.0000 (98.4375) Time: 0.381s, 336.23/s (0.409s, 312.89/s) LR: 6.196e-04 Data: 0.000 (0.019) +2024-12-26 14:25:40,208 - train: [ INFO] - Eval : 6 Time: 1.340 (1.340) Loss: 1.4781 (1.4781) Acc@1: 37.5000 (37.5000)Acc@5: 100.0000 (100.0000) +2024-12-26 14:25:40,941 - train: [ INFO] - Eval : 6 Time: 0.132 (0.346) Loss: 1.4631 (1.4323) Acc@1: 34.6154 (40.4570)Acc@5: 100.0000 (98.9247) +2024-12-26 14:25:43,224 - train: [ INFO] - Train: 7 [ 0/52 ( 0%)] Loss: 1.373308 (1.3733) Acc@1: 50.7812 (50.7812) Acc@5: 99.2188 (99.2188) Time: 1.524s, 83.97/s (1.524s, 83.97/s) LR: 6.176e-04 Data: 1.093 (1.093) +2024-12-26 14:26:02,813 - train: [ INFO] - Train: 7 [ 50/52 ( 98%)] Loss: 1.405348 (1.3893) Acc@1: 47.6562 (49.2188) Acc@5: 97.6562 (98.4375) Time: 0.389s, 329.27/s (0.413s, 309.77/s) LR: 6.176e-04 Data: 0.000 (0.022) +2024-12-26 14:26:03,241 - train: [ INFO] - Train: 7 [ 51/52 (100%)] Loss: 1.412213 (1.3970) Acc@1: 46.0938 (48.1771) Acc@5: 98.4375 (98.4375) Time: 0.387s, 331.15/s (0.413s, 310.16/s) LR: 6.176e-04 Data: 0.000 (0.022) +2024-12-26 14:26:04,956 - train: [ INFO] - Eval : 7 Time: 1.578 (1.578) Loss: 1.3845 (1.3845) Acc@1: 41.4062 (41.4062)Acc@5: 99.2188 (99.2188) +2024-12-26 14:26:05,682 - train: [ INFO] - Eval : 7 Time: 0.151 (0.384) Loss: 1.2720 (1.3463) Acc@1: 50.0000 (44.8925)Acc@5: 98.0769 (98.6559) +2024-12-26 14:26:06,504 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-7.pth.tar', 44.89247311827957) + +2024-12-26 14:26:08,134 - train: [ INFO] - Train: 8 [ 0/52 ( 0%)] Loss: 1.411133 (1.4111) Acc@1: 50.0000 (50.0000) Acc@5: 98.4375 (98.4375) Time: 1.615s, 79.24/s (1.615s, 79.24/s) LR: 6.153e-04 Data: 1.165 (1.165) +2024-12-26 14:26:27,857 - train: [ INFO] - Train: 8 [ 50/52 ( 98%)] Loss: 1.301986 (1.3566) Acc@1: 53.9062 (51.9531) Acc@5: 96.8750 (97.6562) Time: 0.400s, 319.86/s (0.418s, 306.42/s) LR: 6.153e-04 Data: 0.000 (0.024) +2024-12-26 14:26:28,247 - train: [ INFO] - Train: 8 [ 51/52 (100%)] Loss: 1.266915 (1.3267) Acc@1: 54.6875 (52.8646) Acc@5: 99.2188 (98.1771) Time: 0.387s, 330.63/s (0.417s, 306.85/s) LR: 6.153e-04 Data: 0.000 (0.023) +2024-12-26 14:26:29,823 - train: [ INFO] - Eval : 8 Time: 1.433 (1.433) Loss: 1.2070 (1.2070) Acc@1: 49.2188 (49.2188)Acc@5: 98.4375 (98.4375) +2024-12-26 14:26:30,538 - train: [ INFO] - Eval : 8 Time: 0.138 (0.358) Loss: 1.3195 (1.3662) Acc@1: 43.2692 (43.0108)Acc@5: 99.0385 (98.3871) +2024-12-26 14:26:33,287 - train: [ INFO] - Train: 9 [ 0/52 ( 0%)] Loss: 1.266130 (1.2661) Acc@1: 60.9375 (60.9375) Acc@5: 98.4375 (98.4375) Time: 1.969s, 64.99/s (1.969s, 64.99/s) LR: 6.128e-04 Data: 1.547 (1.547) +2024-12-26 14:26:52,881 - train: [ INFO] - Train: 9 [ 50/52 ( 98%)] Loss: 1.297392 (1.2818) Acc@1: 56.2500 (58.5938) Acc@5: 98.4375 (98.4375) Time: 0.385s, 332.09/s (0.422s, 303.45/s) LR: 6.128e-04 Data: 0.000 (0.032) +2024-12-26 14:26:53,269 - train: [ INFO] - Train: 9 [ 51/52 (100%)] Loss: 1.239901 (1.2678) Acc@1: 55.4688 (57.5521) Acc@5: 99.2188 (98.6979) Time: 0.385s, 332.28/s (0.421s, 303.96/s) LR: 6.128e-04 Data: 0.000 (0.031) +2024-12-26 14:26:55,724 - train: [ INFO] - Eval : 9 Time: 2.308 (2.308) Loss: 1.2718 (1.2718) Acc@1: 53.9062 (53.9062)Acc@5: 99.2188 (99.2188) +2024-12-26 14:26:56,473 - train: [ INFO] - Eval : 9 Time: 0.134 (0.510) Loss: 1.2459 (1.3042) Acc@1: 55.7692 (50.1344)Acc@5: 100.0000 (98.3871) +2024-12-26 14:26:57,272 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-9.pth.tar', 50.13440901233304) + +2024-12-26 14:26:59,625 - train: [ INFO] - Train: 10 [ 0/52 ( 0%)] Loss: 1.335063 (1.3351) Acc@1: 56.2500 (56.2500) Acc@5: 97.6562 (97.6562) Time: 2.337s, 54.77/s (2.337s, 54.77/s) LR: 6.099e-04 Data: 1.899 (1.899) +2024-12-26 14:27:19,403 - train: [ INFO] - Train: 10 [ 50/52 ( 98%)] Loss: 1.203671 (1.2694) Acc@1: 64.0625 (60.1562) Acc@5: 98.4375 (98.0469) Time: 0.386s, 331.76/s (0.432s, 296.18/s) LR: 6.099e-04 Data: 0.000 (0.039) +2024-12-26 14:27:19,877 - train: [ INFO] - Train: 10 [ 51/52 (100%)] Loss: 1.328544 (1.2891) Acc@1: 55.4688 (58.5938) Acc@5: 97.6562 (97.9167) Time: 0.386s, 331.59/s (0.431s, 296.78/s) LR: 6.099e-04 Data: 0.000 (0.038) +2024-12-26 14:27:22,414 - train: [ INFO] - Eval : 10 Time: 2.368 (2.368) Loss: 1.6014 (1.6014) Acc@1: 42.1875 (42.1875)Acc@5: 92.1875 (92.1875) +2024-12-26 14:27:23,134 - train: [ INFO] - Eval : 10 Time: 0.141 (0.515) Loss: 1.3773 (1.6033) Acc@1: 47.1154 (40.1882)Acc@5: 95.1923 (93.4140) +2024-12-26 14:27:27,121 - train: [ INFO] - Train: 11 [ 0/52 ( 0%)] Loss: 1.312652 (1.3127) Acc@1: 51.5625 (51.5625) Acc@5: 99.2188 (99.2188) Time: 3.187s, 40.16/s (3.187s, 40.16/s) LR: 6.068e-04 Data: 2.724 (2.724) +2024-12-26 14:27:46,624 - train: [ INFO] - Train: 11 [ 50/52 ( 98%)] Loss: 1.226849 (1.2698) Acc@1: 60.1562 (55.8594) Acc@5: 100.0000 (99.6094) Time: 0.387s, 331.16/s (0.444s, 288.15/s) LR: 6.068e-04 Data: 0.000 (0.054) +2024-12-26 14:27:47,011 - train: [ INFO] - Train: 11 [ 51/52 (100%)] Loss: 1.319599 (1.2864) Acc@1: 56.2500 (55.9896) Acc@5: 99.2188 (99.4792) Time: 0.384s, 333.51/s (0.443s, 288.91/s) LR: 6.068e-04 Data: 0.000 (0.053) +2024-12-26 14:27:50,970 - train: [ INFO] - Eval : 11 Time: 3.789 (3.789) Loss: 1.6360 (1.6360) Acc@1: 37.5000 (37.5000)Acc@5: 98.4375 (98.4375) +2024-12-26 14:27:51,675 - train: [ INFO] - Eval : 11 Time: 0.134 (0.749) Loss: 1.5242 (1.6156) Acc@1: 42.3077 (38.3065)Acc@5: 99.0385 (98.6559) +2024-12-26 14:27:55,411 - train: [ INFO] - Train: 12 [ 0/52 ( 0%)] Loss: 1.191349 (1.1913) Acc@1: 60.9375 (60.9375) Acc@5: 98.4375 (98.4375) Time: 2.909s, 44.00/s (2.909s, 44.00/s) LR: 6.034e-04 Data: 2.471 (2.471) +2024-12-26 14:28:14,980 - train: [ INFO] - Train: 12 [ 50/52 ( 98%)] Loss: 1.254385 (1.2229) Acc@1: 57.8125 (59.3750) Acc@5: 98.4375 (98.4375) Time: 0.379s, 337.52/s (0.440s, 290.96/s) LR: 6.034e-04 Data: 0.000 (0.050) +2024-12-26 14:28:15,370 - train: [ INFO] - Train: 12 [ 51/52 (100%)] Loss: 1.239155 (1.2283) Acc@1: 60.9375 (59.8958) Acc@5: 100.0000 (98.9583) Time: 0.387s, 330.96/s (0.439s, 291.64/s) LR: 6.034e-04 Data: 0.000 (0.049) +2024-12-26 14:28:17,013 - train: [ INFO] - Eval : 12 Time: 1.436 (1.436) Loss: 1.3477 (1.3477) Acc@1: 47.6562 (47.6562)Acc@5: 99.2188 (99.2188) +2024-12-26 14:28:17,841 - train: [ INFO] - Eval : 12 Time: 0.148 (0.378) Loss: 1.1592 (1.2334) Acc@1: 58.6538 (51.0753)Acc@5: 99.0385 (98.7903) +2024-12-26 14:28:18,752 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-12.pth.tar', 51.075268899240804) + +2024-12-26 14:28:21,216 - train: [ INFO] - Train: 13 [ 0/52 ( 0%)] Loss: 1.228837 (1.2288) Acc@1: 54.6875 (54.6875) Acc@5: 96.0938 (96.0938) Time: 2.450s, 52.25/s (2.450s, 52.25/s) LR: 5.997e-04 Data: 2.005 (2.005) +2024-12-26 14:28:40,822 - train: [ INFO] - Train: 13 [ 50/52 ( 98%)] Loss: 1.274784 (1.2518) Acc@1: 56.2500 (55.4688) Acc@5: 98.4375 (97.2656) Time: 0.393s, 325.93/s (0.432s, 296.45/s) LR: 5.997e-04 Data: 0.000 (0.040) +2024-12-26 14:28:41,221 - train: [ INFO] - Train: 13 [ 51/52 (100%)] Loss: 1.136776 (1.2135) Acc@1: 64.8438 (58.5938) Acc@5: 99.2188 (97.9167) Time: 0.387s, 330.60/s (0.431s, 297.04/s) LR: 5.997e-04 Data: 0.000 (0.040) +2024-12-26 14:28:42,689 - train: [ INFO] - Eval : 13 Time: 1.263 (1.263) Loss: 1.4094 (1.4094) Acc@1: 53.1250 (53.1250)Acc@5: 94.5312 (94.5312) +2024-12-26 14:28:43,433 - train: [ INFO] - Eval : 13 Time: 0.161 (0.335) Loss: 1.7254 (1.5680) Acc@1: 41.3462 (46.5054)Acc@5: 97.1154 (94.7581) +2024-12-26 14:28:45,712 - train: [ INFO] - Train: 14 [ 0/52 ( 0%)] Loss: 1.287875 (1.2879) Acc@1: 59.3750 (59.3750) Acc@5: 98.4375 (98.4375) Time: 1.548s, 82.71/s (1.548s, 82.71/s) LR: 5.957e-04 Data: 1.130 (1.130) +2024-12-26 14:29:05,465 - train: [ INFO] - Train: 14 [ 50/52 ( 98%)] Loss: 1.103722 (1.1958) Acc@1: 71.8750 (65.6250) Acc@5: 99.2188 (98.8281) Time: 0.396s, 322.89/s (0.415s, 308.45/s) LR: 5.957e-04 Data: 0.001 (0.023) +2024-12-26 14:29:05,858 - train: [ INFO] - Train: 14 [ 51/52 (100%)] Loss: 1.301509 (1.2310) Acc@1: 52.3438 (61.1979) Acc@5: 99.2188 (98.9583) Time: 0.391s, 327.75/s (0.415s, 308.80/s) LR: 5.957e-04 Data: 0.000 (0.023) +2024-12-26 14:29:07,219 - train: [ INFO] - Eval : 14 Time: 1.209 (1.209) Loss: 1.2226 (1.2226) Acc@1: 58.5938 (58.5938)Acc@5: 98.4375 (98.4375) +2024-12-26 14:29:07,957 - train: [ INFO] - Eval : 14 Time: 0.146 (0.325) Loss: 1.2683 (1.2659) Acc@1: 51.9231 (51.8817)Acc@5: 99.0385 (98.1183) +2024-12-26 14:29:08,747 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-14.pth.tar', 51.88172092232653) + +2024-12-26 14:29:10,122 - train: [ INFO] - Train: 15 [ 0/52 ( 0%)] Loss: 1.238484 (1.2385) Acc@1: 55.4688 (55.4688) Acc@5: 96.8750 (96.8750) Time: 1.363s, 93.92/s (1.363s, 93.92/s) LR: 5.915e-04 Data: 0.926 (0.926) +2024-12-26 14:29:29,852 - train: [ INFO] - Train: 15 [ 50/52 ( 98%)] Loss: 1.134093 (1.1863) Acc@1: 62.5000 (58.9844) Acc@5: 99.2188 (98.0469) Time: 0.385s, 332.87/s (0.413s, 310.23/s) LR: 5.915e-04 Data: 0.000 (0.019) +2024-12-26 14:29:30,234 - train: [ INFO] - Train: 15 [ 51/52 (100%)] Loss: 1.309443 (1.2273) Acc@1: 54.6875 (57.5521) Acc@5: 98.4375 (98.1771) Time: 0.380s, 336.79/s (0.412s, 310.71/s) LR: 5.915e-04 Data: 0.001 (0.019) +2024-12-26 14:29:31,724 - train: [ INFO] - Eval : 15 Time: 1.279 (1.279) Loss: 1.7887 (1.7887) Acc@1: 39.8438 (39.8438)Acc@5: 86.7188 (86.7188) +2024-12-26 14:29:32,467 - train: [ INFO] - Eval : 15 Time: 0.159 (0.337) Loss: 1.7745 (1.8983) Acc@1: 39.4231 (38.1720)Acc@5: 90.3846 (87.7688) +2024-12-26 14:29:34,662 - train: [ INFO] - Train: 16 [ 0/52 ( 0%)] Loss: 1.167915 (1.1679) Acc@1: 63.2812 (63.2812) Acc@5: 99.2188 (99.2188) Time: 1.408s, 90.92/s (1.408s, 90.92/s) LR: 5.870e-04 Data: 0.994 (0.994) +2024-12-26 14:29:54,179 - train: [ INFO] - Train: 16 [ 50/52 ( 98%)] Loss: 1.219338 (1.1936) Acc@1: 57.8125 (60.5469) Acc@5: 98.4375 (98.8281) Time: 0.379s, 337.83/s (0.410s, 312.49/s) LR: 5.870e-04 Data: 0.000 (0.021) +2024-12-26 14:29:54,561 - train: [ INFO] - Train: 16 [ 51/52 (100%)] Loss: 1.121897 (1.1697) Acc@1: 62.5000 (61.1979) Acc@5: 98.4375 (98.6979) Time: 0.379s, 338.07/s (0.409s, 312.94/s) LR: 5.870e-04 Data: 0.000 (0.020) +2024-12-26 14:29:56,054 - train: [ INFO] - Eval : 16 Time: 1.331 (1.331) Loss: 1.0250 (1.0250) Acc@1: 60.9375 (60.9375)Acc@5: 100.0000 (100.0000) +2024-12-26 14:29:56,788 - train: [ INFO] - Eval : 16 Time: 0.147 (0.344) Loss: 1.1958 (1.0810) Acc@1: 59.6154 (59.6774)Acc@5: 98.0769 (99.4624) +2024-12-26 14:29:57,656 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-16.pth.tar', 59.67741968298471) + +2024-12-26 14:29:59,217 - train: [ INFO] - Train: 17 [ 0/52 ( 0%)] Loss: 1.061173 (1.0612) Acc@1: 65.6250 (65.6250) Acc@5: 99.2188 (99.2188) Time: 1.545s, 82.87/s (1.545s, 82.87/s) LR: 5.822e-04 Data: 1.096 (1.096) +2024-12-26 14:30:18,803 - train: [ INFO] - Train: 17 [ 50/52 ( 98%)] Loss: 1.264026 (1.1626) Acc@1: 52.3438 (58.9844) Acc@5: 100.0000 (99.6094) Time: 0.385s, 332.53/s (0.414s, 309.51/s) LR: 5.822e-04 Data: 0.000 (0.023) +2024-12-26 14:30:19,207 - train: [ INFO] - Train: 17 [ 51/52 (100%)] Loss: 1.200309 (1.1752) Acc@1: 62.5000 (60.1562) Acc@5: 99.2188 (99.4792) Time: 0.401s, 319.24/s (0.413s, 309.69/s) LR: 5.822e-04 Data: 0.000 (0.022) +2024-12-26 14:30:20,821 - train: [ INFO] - Eval : 17 Time: 1.402 (1.402) Loss: 1.7281 (1.7281) Acc@1: 39.8438 (39.8438)Acc@5: 97.6562 (97.6562) +2024-12-26 14:30:21,548 - train: [ INFO] - Eval : 17 Time: 0.132 (0.355) Loss: 2.1102 (1.9777) Acc@1: 34.6154 (34.2742)Acc@5: 93.2692 (97.1774) +2024-12-26 14:30:23,821 - train: [ INFO] - Train: 18 [ 0/52 ( 0%)] Loss: 1.158669 (1.1587) Acc@1: 64.8438 (64.8438) Acc@5: 99.2188 (99.2188) Time: 1.502s, 85.24/s (1.502s, 85.24/s) LR: 5.771e-04 Data: 1.067 (1.067) +2024-12-26 14:30:43,363 - train: [ INFO] - Train: 18 [ 50/52 ( 98%)] Loss: 1.066599 (1.1126) Acc@1: 68.7500 (66.7969) Acc@5: 100.0000 (99.6094) Time: 0.384s, 333.67/s (0.412s, 310.76/s) LR: 5.771e-04 Data: 0.000 (0.022) +2024-12-26 14:30:43,768 - train: [ INFO] - Train: 18 [ 51/52 (100%)] Loss: 1.246635 (1.1573) Acc@1: 57.0312 (63.5417) Acc@5: 98.4375 (99.2188) Time: 0.402s, 318.15/s (0.412s, 310.90/s) LR: 5.771e-04 Data: 0.000 (0.022) +2024-12-26 14:30:45,247 - train: [ INFO] - Eval : 18 Time: 1.335 (1.335) Loss: 1.0459 (1.0459) Acc@1: 63.2812 (63.2812)Acc@5: 97.6562 (97.6562) +2024-12-26 14:30:45,975 - train: [ INFO] - Eval : 18 Time: 0.136 (0.344) Loss: 1.2378 (1.1776) Acc@1: 57.6923 (56.3172)Acc@5: 97.1154 (98.6559) +2024-12-26 14:30:48,143 - train: [ INFO] - Train: 19 [ 0/52 ( 0%)] Loss: 0.993633 (0.9936) Acc@1: 75.0000 (75.0000) Acc@5: 99.2188 (99.2188) Time: 1.397s, 91.65/s (1.397s, 91.65/s) LR: 5.718e-04 Data: 0.999 (0.999) +2024-12-26 14:31:07,784 - train: [ INFO] - Train: 19 [ 50/52 ( 98%)] Loss: 1.190452 (1.0920) Acc@1: 56.2500 (65.6250) Acc@5: 97.6562 (98.4375) Time: 0.383s, 334.24/s (0.412s, 310.93/s) LR: 5.718e-04 Data: 0.000 (0.021) +2024-12-26 14:31:08,170 - train: [ INFO] - Train: 19 [ 51/52 (100%)] Loss: 1.069381 (1.0845) Acc@1: 69.5312 (66.9271) Acc@5: 99.2188 (98.6979) Time: 0.383s, 333.83/s (0.411s, 311.34/s) LR: 5.718e-04 Data: 0.000 (0.020) +2024-12-26 14:31:10,244 - train: [ INFO] - Eval : 19 Time: 1.924 (1.924) Loss: 1.7103 (1.7103) Acc@1: 40.6250 (40.6250)Acc@5: 96.8750 (96.8750) +2024-12-26 14:31:11,001 - train: [ INFO] - Eval : 19 Time: 0.133 (0.447) Loss: 1.3430 (1.4664) Acc@1: 51.9231 (48.5215)Acc@5: 100.0000 (97.8495) +2024-12-26 14:31:13,629 - train: [ INFO] - Train: 20 [ 0/52 ( 0%)] Loss: 1.068106 (1.0681) Acc@1: 67.9688 (67.9688) Acc@5: 99.2188 (99.2188) Time: 1.794s, 71.34/s (1.794s, 71.34/s) LR: 5.663e-04 Data: 1.341 (1.341) +2024-12-26 14:31:33,160 - train: [ INFO] - Train: 20 [ 50/52 ( 98%)] Loss: 1.051641 (1.0599) Acc@1: 67.1875 (67.5781) Acc@5: 98.4375 (98.8281) Time: 0.393s, 326.09/s (0.417s, 306.64/s) LR: 5.663e-04 Data: 0.001 (0.027) +2024-12-26 14:31:33,555 - train: [ INFO] - Train: 20 [ 51/52 (100%)] Loss: 1.079927 (1.0666) Acc@1: 68.7500 (67.9688) Acc@5: 99.2188 (98.9583) Time: 0.392s, 326.17/s (0.417s, 306.99/s) LR: 5.663e-04 Data: 0.000 (0.027) +2024-12-26 14:31:36,112 - train: [ INFO] - Eval : 20 Time: 2.348 (2.348) Loss: 1.5031 (1.5031) Acc@1: 40.6250 (40.6250)Acc@5: 96.8750 (96.8750) +2024-12-26 14:31:36,871 - train: [ INFO] - Eval : 20 Time: 0.157 (0.518) Loss: 1.6014 (1.6462) Acc@1: 52.8846 (43.5484)Acc@5: 90.3846 (95.6989) +2024-12-26 14:31:40,316 - train: [ INFO] - Train: 21 [ 0/52 ( 0%)] Loss: 1.130667 (1.1307) Acc@1: 61.7188 (61.7188) Acc@5: 97.6562 (97.6562) Time: 2.142s, 59.75/s (2.142s, 59.75/s) LR: 5.605e-04 Data: 1.693 (1.693) +2024-12-26 14:31:59,934 - train: [ INFO] - Train: 21 [ 50/52 ( 98%)] Loss: 1.031209 (1.0809) Acc@1: 72.6562 (67.1875) Acc@5: 99.2188 (98.4375) Time: 0.385s, 332.06/s (0.426s, 300.65/s) LR: 5.605e-04 Data: 0.000 (0.034) +2024-12-26 14:32:00,329 - train: [ INFO] - Train: 21 [ 51/52 (100%)] Loss: 1.102415 (1.0881) Acc@1: 67.1875 (67.1875) Acc@5: 100.0000 (98.9583) Time: 0.392s, 326.63/s (0.425s, 301.11/s) LR: 5.605e-04 Data: 0.000 (0.034) +2024-12-26 14:32:02,857 - train: [ INFO] - Eval : 21 Time: 2.308 (2.308) Loss: 1.4025 (1.4025) Acc@1: 43.7500 (43.7500)Acc@5: 99.2188 (99.2188) +2024-12-26 14:32:03,700 - train: [ INFO] - Eval : 21 Time: 0.139 (0.525) Loss: 0.9858 (1.2693) Acc@1: 67.3077 (54.5699)Acc@5: 99.0385 (98.9247) +2024-12-26 14:32:06,999 - train: [ INFO] - Train: 22 [ 0/52 ( 0%)] Loss: 1.138674 (1.1387) Acc@1: 64.8438 (64.8438) Acc@5: 96.8750 (96.8750) Time: 2.553s, 50.14/s (2.553s, 50.14/s) LR: 5.544e-04 Data: 2.119 (2.119) +2024-12-26 14:32:26,479 - train: [ INFO] - Train: 22 [ 50/52 ( 98%)] Loss: 0.995399 (1.0670) Acc@1: 67.9688 (66.4062) Acc@5: 100.0000 (98.4375) Time: 0.391s, 327.43/s (0.431s, 296.76/s) LR: 5.544e-04 Data: 0.000 (0.043) +2024-12-26 14:32:26,874 - train: [ INFO] - Train: 22 [ 51/52 (100%)] Loss: 1.051532 (1.0619) Acc@1: 67.1875 (66.6667) Acc@5: 100.0000 (98.9583) Time: 0.392s, 326.36/s (0.431s, 297.28/s) LR: 5.544e-04 Data: 0.000 (0.042) +2024-12-26 14:32:28,317 - train: [ INFO] - Eval : 22 Time: 1.291 (1.291) Loss: 1.1501 (1.1501) Acc@1: 53.9062 (53.9062)Acc@5: 100.0000 (100.0000) +2024-12-26 14:32:29,027 - train: [ INFO] - Eval : 22 Time: 0.134 (0.334) Loss: 1.1587 (1.2520) Acc@1: 56.7308 (54.0323)Acc@5: 100.0000 (99.4624) +2024-12-26 14:32:32,502 - train: [ INFO] - Train: 23 [ 0/52 ( 0%)] Loss: 0.900770 (0.9008) Acc@1: 81.2500 (81.2500) Acc@5: 100.0000 (100.0000) Time: 2.706s, 47.30/s (2.706s, 47.30/s) LR: 5.482e-04 Data: 2.291 (2.291) +2024-12-26 14:32:52,072 - train: [ INFO] - Train: 23 [ 50/52 ( 98%)] Loss: 1.094764 (0.9978) Acc@1: 67.9688 (74.6094) Acc@5: 98.4375 (99.2188) Time: 0.388s, 329.66/s (0.436s, 293.62/s) LR: 5.482e-04 Data: 0.000 (0.046) +2024-12-26 14:32:52,463 - train: [ INFO] - Train: 23 [ 51/52 (100%)] Loss: 1.024044 (1.0065) Acc@1: 71.0938 (73.4375) Acc@5: 98.4375 (98.9583) Time: 0.388s, 329.53/s (0.435s, 294.23/s) LR: 5.482e-04 Data: 0.000 (0.045) +2024-12-26 14:32:53,881 - train: [ INFO] - Eval : 23 Time: 1.221 (1.221) Loss: 1.1485 (1.1485) Acc@1: 58.5938 (58.5938)Acc@5: 98.4375 (98.4375) +2024-12-26 14:32:54,594 - train: [ INFO] - Eval : 23 Time: 0.135 (0.322) Loss: 1.1690 (1.0880) Acc@1: 50.9615 (59.6774)Acc@5: 99.0385 (99.0591) +2024-12-26 14:32:57,252 - train: [ INFO] - Train: 24 [ 0/52 ( 0%)] Loss: 1.002723 (1.0027) Acc@1: 72.6562 (72.6562) Acc@5: 97.6562 (97.6562) Time: 1.897s, 67.49/s (1.897s, 67.49/s) LR: 5.417e-04 Data: 1.431 (1.431) +2024-12-26 14:33:16,804 - train: [ INFO] - Train: 24 [ 50/52 ( 98%)] Loss: 1.083482 (1.0431) Acc@1: 66.4062 (69.5312) Acc@5: 100.0000 (98.8281) Time: 0.385s, 332.45/s (0.419s, 305.37/s) LR: 5.417e-04 Data: 0.000 (0.029) +2024-12-26 14:33:17,192 - train: [ INFO] - Train: 24 [ 51/52 (100%)] Loss: 0.962168 (1.0161) Acc@1: 74.2188 (71.0938) Acc@5: 100.0000 (99.2188) Time: 0.385s, 332.36/s (0.419s, 305.85/s) LR: 5.417e-04 Data: 0.000 (0.029) +2024-12-26 14:33:18,542 - train: [ INFO] - Eval : 24 Time: 1.206 (1.206) Loss: 1.6139 (1.6139) Acc@1: 44.5312 (44.5312)Acc@5: 96.8750 (96.8750) +2024-12-26 14:33:19,257 - train: [ INFO] - Eval : 24 Time: 0.134 (0.320) Loss: 1.2148 (1.4176) Acc@1: 55.7692 (52.2849)Acc@5: 97.1154 (97.4462) +2024-12-26 14:33:22,293 - train: [ INFO] - Train: 25 [ 0/52 ( 0%)] Loss: 0.942907 (0.9429) Acc@1: 72.6562 (72.6562) Acc@5: 100.0000 (100.0000) Time: 2.233s, 57.32/s (2.233s, 57.32/s) LR: 5.349e-04 Data: 1.793 (1.793) +2024-12-26 14:33:41,775 - train: [ INFO] - Train: 25 [ 50/52 ( 98%)] Loss: 0.958030 (0.9505) Acc@1: 74.2188 (73.4375) Acc@5: 100.0000 (100.0000) Time: 0.381s, 336.25/s (0.425s, 301.09/s) LR: 5.349e-04 Data: 0.000 (0.036) +2024-12-26 14:33:42,162 - train: [ INFO] - Train: 25 [ 51/52 (100%)] Loss: 1.092950 (0.9980) Acc@1: 71.0938 (72.6562) Acc@5: 97.6562 (99.2188) Time: 0.384s, 333.65/s (0.424s, 301.66/s) LR: 5.349e-04 Data: 0.000 (0.036) +2024-12-26 14:33:44,148 - train: [ INFO] - Eval : 25 Time: 1.809 (1.809) Loss: 1.1433 (1.1433) Acc@1: 54.6875 (54.6875)Acc@5: 98.4375 (98.4375) +2024-12-26 14:33:44,895 - train: [ INFO] - Eval : 25 Time: 0.157 (0.426) Loss: 1.2932 (1.2895) Acc@1: 50.9615 (51.3441)Acc@5: 98.0769 (97.3118) +2024-12-26 14:33:47,961 - train: [ INFO] - Train: 26 [ 0/52 ( 0%)] Loss: 0.880250 (0.8802) Acc@1: 80.4688 (80.4688) Acc@5: 100.0000 (100.0000) Time: 2.114s, 60.54/s (2.114s, 60.54/s) LR: 5.280e-04 Data: 1.681 (1.681) +2024-12-26 14:34:07,573 - train: [ INFO] - Train: 26 [ 50/52 ( 98%)] Loss: 0.891418 (0.8858) Acc@1: 77.3438 (78.9062) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.26/s (0.425s, 300.97/s) LR: 5.280e-04 Data: 0.000 (0.034) +2024-12-26 14:34:07,957 - train: [ INFO] - Train: 26 [ 51/52 (100%)] Loss: 0.988227 (0.9200) Acc@1: 71.8750 (76.5625) Acc@5: 100.0000 (100.0000) Time: 0.381s, 335.52/s (0.424s, 301.57/s) LR: 5.280e-04 Data: 0.000 (0.033) +2024-12-26 14:34:09,518 - train: [ INFO] - Eval : 26 Time: 1.382 (1.382) Loss: 1.7495 (1.7495) Acc@1: 42.9688 (42.9688)Acc@5: 96.0938 (96.0938) +2024-12-26 14:34:10,298 - train: [ INFO] - Eval : 26 Time: 0.133 (0.360) Loss: 1.4992 (1.6745) Acc@1: 50.0000 (46.3710)Acc@5: 96.1538 (97.7151) +2024-12-26 14:34:12,998 - train: [ INFO] - Train: 27 [ 0/52 ( 0%)] Loss: 0.901030 (0.9010) Acc@1: 78.1250 (78.1250) Acc@5: 100.0000 (100.0000) Time: 1.837s, 69.67/s (1.837s, 69.67/s) LR: 5.209e-04 Data: 1.388 (1.388) +2024-12-26 14:34:32,437 - train: [ INFO] - Train: 27 [ 50/52 ( 98%)] Loss: 0.879063 (0.8900) Acc@1: 76.5625 (77.3438) Acc@5: 98.4375 (99.2188) Time: 0.386s, 331.68/s (0.416s, 307.37/s) LR: 5.209e-04 Data: 0.000 (0.028) +2024-12-26 14:34:32,831 - train: [ INFO] - Train: 27 [ 51/52 (100%)] Loss: 1.002956 (0.9277) Acc@1: 73.4375 (76.0417) Acc@5: 99.2188 (99.2188) Time: 0.391s, 327.32/s (0.416s, 307.73/s) LR: 5.209e-04 Data: 0.000 (0.028) +2024-12-26 14:34:34,313 - train: [ INFO] - Eval : 27 Time: 1.334 (1.334) Loss: 1.0600 (1.0600) Acc@1: 62.5000 (62.5000)Acc@5: 99.2188 (99.2188) +2024-12-26 14:34:35,061 - train: [ INFO] - Eval : 27 Time: 0.146 (0.347) Loss: 1.1569 (1.1403) Acc@1: 55.7692 (59.6774)Acc@5: 99.0385 (99.1935) +2024-12-26 14:34:35,893 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-27.pth.tar', 59.67741976502121) + +2024-12-26 14:34:37,727 - train: [ INFO] - Train: 28 [ 0/52 ( 0%)] Loss: 0.745550 (0.7455) Acc@1: 90.6250 (90.6250) Acc@5: 100.0000 (100.0000) Time: 1.817s, 70.45/s (1.817s, 70.45/s) LR: 5.135e-04 Data: 1.394 (1.394) +2024-12-26 14:34:57,315 - train: [ INFO] - Train: 28 [ 50/52 ( 98%)] Loss: 0.872897 (0.8092) Acc@1: 77.3438 (83.9844) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.69/s (0.419s, 305.67/s) LR: 5.135e-04 Data: 0.000 (0.029) +2024-12-26 14:34:57,710 - train: [ INFO] - Train: 28 [ 51/52 (100%)] Loss: 0.813269 (0.8106) Acc@1: 84.3750 (84.1146) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.57/s (0.418s, 306.05/s) LR: 5.135e-04 Data: 0.000 (0.028) +2024-12-26 14:34:59,343 - train: [ INFO] - Eval : 28 Time: 1.409 (1.409) Loss: 1.2153 (1.2153) Acc@1: 57.8125 (57.8125)Acc@5: 99.2188 (99.2188) +2024-12-26 14:35:00,065 - train: [ INFO] - Eval : 28 Time: 0.131 (0.355) Loss: 1.2586 (1.1516) Acc@1: 62.5000 (60.2151)Acc@5: 96.1538 (98.1183) +2024-12-26 14:35:00,813 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-28.pth.tar', 60.21505429667811) + +2024-12-26 14:35:02,510 - train: [ INFO] - Train: 29 [ 0/52 ( 0%)] Loss: 0.851329 (0.8513) Acc@1: 81.2500 (81.2500) Acc@5: 100.0000 (100.0000) Time: 1.684s, 76.02/s (1.684s, 76.02/s) LR: 5.060e-04 Data: 1.251 (1.251) +2024-12-26 14:35:21,994 - train: [ INFO] - Train: 29 [ 50/52 ( 98%)] Loss: 0.936686 (0.8940) Acc@1: 78.9062 (80.0781) Acc@5: 99.2188 (99.6094) Time: 0.383s, 334.06/s (0.414s, 309.10/s) LR: 5.060e-04 Data: 0.000 (0.026) +2024-12-26 14:35:22,378 - train: [ INFO] - Train: 29 [ 51/52 (100%)] Loss: 0.790815 (0.8596) Acc@1: 85.1562 (81.7708) Acc@5: 99.2188 (99.4792) Time: 0.381s, 335.62/s (0.413s, 309.57/s) LR: 5.060e-04 Data: 0.000 (0.025) +2024-12-26 14:35:24,578 - train: [ INFO] - Eval : 29 Time: 2.036 (2.036) Loss: 1.4913 (1.4913) Acc@1: 42.9688 (42.9688)Acc@5: 98.4375 (98.4375) +2024-12-26 14:35:25,383 - train: [ INFO] - Eval : 29 Time: 0.184 (0.474) Loss: 1.2706 (1.3936) Acc@1: 53.8462 (48.2527)Acc@5: 100.0000 (98.2527) +2024-12-26 14:35:27,884 - train: [ INFO] - Train: 30 [ 0/52 ( 0%)] Loss: 0.817240 (0.8172) Acc@1: 80.4688 (80.4688) Acc@5: 100.0000 (100.0000) Time: 1.706s, 75.02/s (1.706s, 75.02/s) LR: 4.982e-04 Data: 1.233 (1.233) +2024-12-26 14:35:47,549 - train: [ INFO] - Train: 30 [ 50/52 ( 98%)] Loss: 0.881599 (0.8494) Acc@1: 78.1250 (79.2969) Acc@5: 99.2188 (99.6094) Time: 0.409s, 312.72/s (0.418s, 306.17/s) LR: 4.982e-04 Data: 0.000 (0.025) +2024-12-26 14:35:47,932 - train: [ INFO] - Train: 30 [ 51/52 (100%)] Loss: 0.893008 (0.8639) Acc@1: 78.9062 (79.1667) Acc@5: 100.0000 (99.7396) Time: 0.381s, 336.18/s (0.417s, 306.69/s) LR: 4.982e-04 Data: 0.000 (0.025) +2024-12-26 14:35:50,355 - train: [ INFO] - Eval : 30 Time: 2.259 (2.259) Loss: 1.0265 (1.0265) Acc@1: 60.9375 (60.9375)Acc@5: 100.0000 (100.0000) +2024-12-26 14:35:51,079 - train: [ INFO] - Eval : 30 Time: 0.131 (0.497) Loss: 1.1648 (1.1390) Acc@1: 58.6538 (57.2581)Acc@5: 97.1154 (99.1935) +2024-12-26 14:35:53,956 - train: [ INFO] - Train: 31 [ 0/52 ( 0%)] Loss: 0.864093 (0.8641) Acc@1: 78.9062 (78.9062) Acc@5: 99.2188 (99.2188) Time: 2.071s, 61.80/s (2.071s, 61.80/s) LR: 4.903e-04 Data: 1.598 (1.598) +2024-12-26 14:36:13,737 - train: [ INFO] - Train: 31 [ 50/52 ( 98%)] Loss: 0.924759 (0.8944) Acc@1: 75.0000 (76.9531) Acc@5: 99.2188 (99.2188) Time: 0.389s, 328.87/s (0.427s, 299.52/s) LR: 4.903e-04 Data: 0.000 (0.033) +2024-12-26 14:36:14,129 - train: [ INFO] - Train: 31 [ 51/52 (100%)] Loss: 0.814837 (0.8679) Acc@1: 83.5938 (79.1667) Acc@5: 100.0000 (99.4792) Time: 0.381s, 336.28/s (0.426s, 300.15/s) LR: 4.903e-04 Data: 0.000 (0.032) +2024-12-26 14:36:15,630 - train: [ INFO] - Eval : 31 Time: 1.322 (1.322) Loss: 1.6072 (1.6072) Acc@1: 43.7500 (43.7500)Acc@5: 99.2188 (99.2188) +2024-12-26 14:36:16,366 - train: [ INFO] - Eval : 31 Time: 0.138 (0.343) Loss: 1.8569 (1.6456) Acc@1: 29.8077 (42.2043)Acc@5: 100.0000 (98.3871) +2024-12-26 14:36:20,432 - train: [ INFO] - Train: 32 [ 0/52 ( 0%)] Loss: 0.837012 (0.8370) Acc@1: 80.4688 (80.4688) Acc@5: 100.0000 (100.0000) Time: 2.627s, 48.72/s (2.627s, 48.72/s) LR: 4.823e-04 Data: 2.196 (2.196) +2024-12-26 14:36:39,990 - train: [ INFO] - Train: 32 [ 50/52 ( 98%)] Loss: 0.832815 (0.8349) Acc@1: 83.5938 (82.0312) Acc@5: 99.2188 (99.6094) Time: 0.380s, 336.70/s (0.434s, 294.74/s) LR: 4.823e-04 Data: 0.000 (0.044) +2024-12-26 14:36:40,381 - train: [ INFO] - Train: 32 [ 51/52 (100%)] Loss: 0.862583 (0.8441) Acc@1: 79.6875 (81.2500) Acc@5: 100.0000 (99.7396) Time: 0.387s, 330.66/s (0.433s, 295.35/s) LR: 4.823e-04 Data: 0.000 (0.043) +2024-12-26 14:36:42,040 - train: [ INFO] - Eval : 32 Time: 1.498 (1.498) Loss: 1.1906 (1.1906) Acc@1: 59.3750 (59.3750)Acc@5: 98.4375 (98.4375) +2024-12-26 14:36:42,748 - train: [ INFO] - Eval : 32 Time: 0.135 (0.368) Loss: 1.2635 (1.1165) Acc@1: 51.9231 (60.0806)Acc@5: 100.0000 (99.3280) +2024-12-26 14:36:45,236 - train: [ INFO] - Train: 33 [ 0/52 ( 0%)] Loss: 0.846302 (0.8463) Acc@1: 82.0312 (82.0312) Acc@5: 99.2188 (99.2188) Time: 1.713s, 74.74/s (1.713s, 74.74/s) LR: 4.740e-04 Data: 1.266 (1.266) +2024-12-26 14:37:04,786 - train: [ INFO] - Train: 33 [ 50/52 ( 98%)] Loss: 0.949983 (0.8981) Acc@1: 74.2188 (78.1250) Acc@5: 100.0000 (99.6094) Time: 0.383s, 334.27/s (0.415s, 308.76/s) LR: 4.740e-04 Data: 0.000 (0.026) +2024-12-26 14:37:05,185 - train: [ INFO] - Train: 33 [ 51/52 (100%)] Loss: 0.837674 (0.8780) Acc@1: 79.6875 (78.6458) Acc@5: 99.2188 (99.4792) Time: 0.395s, 324.42/s (0.414s, 309.04/s) LR: 4.740e-04 Data: 0.001 (0.026) +2024-12-26 14:37:06,654 - train: [ INFO] - Eval : 33 Time: 1.334 (1.334) Loss: 1.0676 (1.0676) Acc@1: 64.8438 (64.8438)Acc@5: 100.0000 (100.0000) +2024-12-26 14:37:07,379 - train: [ INFO] - Eval : 33 Time: 0.140 (0.343) Loss: 1.3072 (1.1277) Acc@1: 54.8077 (61.8280)Acc@5: 97.1154 (98.9247) +2024-12-26 14:37:08,208 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-33.pth.tar', 61.82795715332031) + +2024-12-26 14:37:09,704 - train: [ INFO] - Train: 34 [ 0/52 ( 0%)] Loss: 0.734961 (0.7350) Acc@1: 86.7188 (86.7188) Acc@5: 100.0000 (100.0000) Time: 1.481s, 86.44/s (1.481s, 86.44/s) LR: 4.656e-04 Data: 1.025 (1.025) +2024-12-26 14:37:29,369 - train: [ INFO] - Train: 34 [ 50/52 ( 98%)] Loss: 0.758816 (0.7469) Acc@1: 83.5938 (85.1562) Acc@5: 99.2188 (99.6094) Time: 0.392s, 326.12/s (0.414s, 309.45/s) LR: 4.656e-04 Data: 0.001 (0.021) +2024-12-26 14:37:29,763 - train: [ INFO] - Train: 34 [ 51/52 (100%)] Loss: 0.783546 (0.7591) Acc@1: 84.3750 (84.8958) Acc@5: 100.0000 (99.7396) Time: 0.390s, 328.44/s (0.413s, 309.80/s) LR: 4.656e-04 Data: 0.000 (0.021) +2024-12-26 14:37:31,454 - train: [ INFO] - Eval : 34 Time: 1.546 (1.546) Loss: 1.0268 (1.0268) Acc@1: 60.9375 (60.9375)Acc@5: 99.2188 (99.2188) +2024-12-26 14:37:32,238 - train: [ INFO] - Eval : 34 Time: 0.169 (0.388) Loss: 1.3018 (1.1872) Acc@1: 51.9231 (58.1989)Acc@5: 100.0000 (98.9247) +2024-12-26 14:37:34,765 - train: [ INFO] - Train: 35 [ 0/52 ( 0%)] Loss: 0.691182 (0.6912) Acc@1: 87.5000 (87.5000) Acc@5: 100.0000 (100.0000) Time: 1.713s, 74.73/s (1.713s, 74.73/s) LR: 4.571e-04 Data: 1.276 (1.276) +2024-12-26 14:37:54,361 - train: [ INFO] - Train: 35 [ 50/52 ( 98%)] Loss: 0.878974 (0.7851) Acc@1: 77.3438 (82.4219) Acc@5: 99.2188 (99.6094) Time: 0.382s, 335.19/s (0.417s, 306.86/s) LR: 4.571e-04 Data: 0.000 (0.026) +2024-12-26 14:37:54,745 - train: [ INFO] - Train: 35 [ 51/52 (100%)] Loss: 0.784664 (0.7849) Acc@1: 82.8125 (82.5521) Acc@5: 100.0000 (99.7396) Time: 0.381s, 335.96/s (0.416s, 307.38/s) LR: 4.571e-04 Data: 0.000 (0.026) +2024-12-26 14:37:56,139 - train: [ INFO] - Eval : 35 Time: 1.245 (1.245) Loss: 1.1111 (1.1111) Acc@1: 61.7188 (61.7188)Acc@5: 96.0938 (96.0938) +2024-12-26 14:37:56,856 - train: [ INFO] - Eval : 35 Time: 0.140 (0.327) Loss: 1.1890 (1.2446) Acc@1: 60.5769 (57.1237)Acc@5: 94.2308 (96.3710) +2024-12-26 14:37:59,158 - train: [ INFO] - Train: 36 [ 0/52 ( 0%)] Loss: 0.670627 (0.6706) Acc@1: 89.8438 (89.8438) Acc@5: 100.0000 (100.0000) Time: 1.479s, 86.57/s (1.479s, 86.57/s) LR: 4.484e-04 Data: 1.031 (1.031) +2024-12-26 14:38:19,030 - train: [ INFO] - Train: 36 [ 50/52 ( 98%)] Loss: 0.812516 (0.7416) Acc@1: 81.2500 (85.5469) Acc@5: 99.2188 (99.6094) Time: 0.378s, 338.53/s (0.418s, 306.36/s) LR: 4.484e-04 Data: 0.000 (0.021) +2024-12-26 14:38:19,420 - train: [ INFO] - Train: 36 [ 51/52 (100%)] Loss: 0.818609 (0.7673) Acc@1: 81.2500 (84.1146) Acc@5: 100.0000 (99.7396) Time: 0.386s, 331.44/s (0.417s, 306.80/s) LR: 4.484e-04 Data: 0.000 (0.021) +2024-12-26 14:38:20,914 - train: [ INFO] - Eval : 36 Time: 1.330 (1.330) Loss: 1.2633 (1.2633) Acc@1: 55.4688 (55.4688)Acc@5: 98.4375 (98.4375) +2024-12-26 14:38:21,660 - train: [ INFO] - Eval : 36 Time: 0.158 (0.346) Loss: 1.2634 (1.3191) Acc@1: 54.8077 (52.9570)Acc@5: 99.0385 (98.3871) +2024-12-26 14:38:23,964 - train: [ INFO] - Train: 37 [ 0/52 ( 0%)] Loss: 0.638883 (0.6389) Acc@1: 92.1875 (92.1875) Acc@5: 100.0000 (100.0000) Time: 1.523s, 84.07/s (1.523s, 84.07/s) LR: 4.396e-04 Data: 1.082 (1.082) +2024-12-26 14:38:43,527 - train: [ INFO] - Train: 37 [ 50/52 ( 98%)] Loss: 0.749571 (0.6942) Acc@1: 84.3750 (88.2812) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.43/s (0.413s, 310.07/s) LR: 4.396e-04 Data: 0.000 (0.022) +2024-12-26 14:38:43,915 - train: [ INFO] - Train: 37 [ 51/52 (100%)] Loss: 0.720806 (0.7031) Acc@1: 88.2812 (88.2812) Acc@5: 99.2188 (99.7396) Time: 0.385s, 332.48/s (0.412s, 310.47/s) LR: 4.396e-04 Data: 0.000 (0.022) +2024-12-26 14:38:46,067 - train: [ INFO] - Eval : 37 Time: 1.989 (1.989) Loss: 2.0543 (2.0543) Acc@1: 38.2812 (38.2812)Acc@5: 94.5312 (94.5312) +2024-12-26 14:38:46,809 - train: [ INFO] - Eval : 37 Time: 0.150 (0.455) Loss: 1.7042 (1.9259) Acc@1: 54.8077 (45.0269)Acc@5: 94.2308 (94.7581) +2024-12-26 14:38:49,793 - train: [ INFO] - Train: 38 [ 0/52 ( 0%)] Loss: 0.746237 (0.7462) Acc@1: 83.5938 (83.5938) Acc@5: 100.0000 (100.0000) Time: 2.048s, 62.51/s (2.048s, 62.51/s) LR: 4.307e-04 Data: 1.607 (1.607) +2024-12-26 14:39:09,286 - train: [ INFO] - Train: 38 [ 50/52 ( 98%)] Loss: 0.662218 (0.7042) Acc@1: 89.0625 (86.3281) Acc@5: 100.0000 (100.0000) Time: 0.383s, 333.89/s (0.422s, 303.52/s) LR: 4.307e-04 Data: 0.000 (0.033) +2024-12-26 14:39:09,684 - train: [ INFO] - Train: 38 [ 51/52 (100%)] Loss: 0.691547 (0.7000) Acc@1: 88.2812 (86.9792) Acc@5: 99.2188 (99.7396) Time: 0.395s, 324.03/s (0.421s, 303.89/s) LR: 4.307e-04 Data: 0.000 (0.032) +2024-12-26 14:39:11,986 - train: [ INFO] - Eval : 38 Time: 2.147 (2.147) Loss: 1.1622 (1.1622) Acc@1: 56.2500 (56.2500)Acc@5: 98.4375 (98.4375) +2024-12-26 14:39:12,758 - train: [ INFO] - Eval : 38 Time: 0.131 (0.487) Loss: 1.1204 (1.1486) Acc@1: 61.5385 (59.6774)Acc@5: 98.0769 (98.1183) +2024-12-26 14:39:15,757 - train: [ INFO] - Train: 39 [ 0/52 ( 0%)] Loss: 0.623074 (0.6231) Acc@1: 92.9688 (92.9688) Acc@5: 100.0000 (100.0000) Time: 2.227s, 57.48/s (2.227s, 57.48/s) LR: 4.217e-04 Data: 1.783 (1.783) +2024-12-26 14:39:35,524 - train: [ INFO] - Train: 39 [ 50/52 ( 98%)] Loss: 0.669414 (0.6462) Acc@1: 91.4062 (92.1875) Acc@5: 100.0000 (100.0000) Time: 0.380s, 337.17/s (0.431s, 297.28/s) LR: 4.217e-04 Data: 0.000 (0.036) +2024-12-26 14:39:35,998 - train: [ INFO] - Train: 39 [ 51/52 (100%)] Loss: 0.682529 (0.6583) Acc@1: 89.0625 (91.1458) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.18/s (0.430s, 297.92/s) LR: 4.217e-04 Data: 0.000 (0.035) +2024-12-26 14:39:38,718 - train: [ INFO] - Eval : 39 Time: 2.503 (2.503) Loss: 1.1526 (1.1526) Acc@1: 60.1562 (60.1562)Acc@5: 99.2188 (99.2188) +2024-12-26 14:39:39,483 - train: [ INFO] - Eval : 39 Time: 0.149 (0.545) Loss: 1.0144 (1.0907) Acc@1: 64.4231 (61.4247)Acc@5: 98.0769 (98.6559) +2024-12-26 14:39:42,399 - train: [ INFO] - Train: 40 [ 0/52 ( 0%)] Loss: 0.700500 (0.7005) Acc@1: 87.5000 (87.5000) Acc@5: 100.0000 (100.0000) Time: 2.130s, 60.10/s (2.130s, 60.10/s) LR: 4.125e-04 Data: 1.667 (1.667) +2024-12-26 14:40:01,948 - train: [ INFO] - Train: 40 [ 50/52 ( 98%)] Loss: 0.651870 (0.6762) Acc@1: 89.0625 (88.2812) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.88/s (0.424s, 301.80/s) LR: 4.125e-04 Data: 0.000 (0.034) +2024-12-26 14:40:02,332 - train: [ INFO] - Train: 40 [ 51/52 (100%)] Loss: 0.738731 (0.6970) Acc@1: 87.5000 (88.0208) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.40/s (0.423s, 302.40/s) LR: 4.125e-04 Data: 0.000 (0.033) +2024-12-26 14:40:05,062 - train: [ INFO] - Eval : 40 Time: 2.582 (2.582) Loss: 1.1404 (1.1404) Acc@1: 61.7188 (61.7188)Acc@5: 96.8750 (96.8750) +2024-12-26 14:40:05,783 - train: [ INFO] - Eval : 40 Time: 0.139 (0.551) Loss: 1.2601 (1.2768) Acc@1: 54.8077 (58.6022)Acc@5: 95.1923 (95.1613) +2024-12-26 14:40:08,283 - train: [ INFO] - Train: 41 [ 0/52 ( 0%)] Loss: 0.630610 (0.6306) Acc@1: 92.1875 (92.1875) Acc@5: 100.0000 (100.0000) Time: 1.706s, 75.01/s (1.706s, 75.01/s) LR: 4.033e-04 Data: 1.268 (1.268) +2024-12-26 14:40:27,952 - train: [ INFO] - Train: 41 [ 50/52 ( 98%)] Loss: 0.713100 (0.6719) Acc@1: 87.5000 (89.8438) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.12/s (0.418s, 305.96/s) LR: 4.033e-04 Data: 0.000 (0.026) +2024-12-26 14:40:28,427 - train: [ INFO] - Train: 41 [ 51/52 (100%)] Loss: 0.712622 (0.6854) Acc@1: 86.7188 (88.8021) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.77/s (0.418s, 306.39/s) LR: 4.033e-04 Data: 0.000 (0.026) +2024-12-26 14:40:30,878 - train: [ INFO] - Eval : 41 Time: 2.246 (2.246) Loss: 1.3477 (1.3477) Acc@1: 56.2500 (56.2500)Acc@5: 96.0938 (96.0938) +2024-12-26 14:40:31,619 - train: [ INFO] - Eval : 41 Time: 0.172 (0.498) Loss: 1.3614 (1.3882) Acc@1: 50.9615 (55.5108)Acc@5: 96.1538 (96.7742) +2024-12-26 14:40:34,855 - train: [ INFO] - Train: 42 [ 0/52 ( 0%)] Loss: 0.634226 (0.6342) Acc@1: 92.1875 (92.1875) Acc@5: 100.0000 (100.0000) Time: 2.347s, 54.55/s (2.347s, 54.55/s) LR: 3.940e-04 Data: 1.898 (1.898) +2024-12-26 14:40:54,630 - train: [ INFO] - Train: 42 [ 50/52 ( 98%)] Loss: 0.632490 (0.6334) Acc@1: 90.6250 (91.4062) Acc@5: 100.0000 (100.0000) Time: 0.382s, 334.75/s (0.433s, 295.59/s) LR: 3.940e-04 Data: 0.000 (0.038) +2024-12-26 14:40:55,023 - train: [ INFO] - Train: 42 [ 51/52 (100%)] Loss: 0.595325 (0.6207) Acc@1: 92.9688 (91.9271) Acc@5: 100.0000 (100.0000) Time: 0.390s, 327.92/s (0.432s, 296.15/s) LR: 3.940e-04 Data: 0.000 (0.038) +2024-12-26 14:40:57,970 - train: [ INFO] - Eval : 42 Time: 2.770 (2.770) Loss: 1.1970 (1.1970) Acc@1: 57.0312 (57.0312)Acc@5: 99.2188 (99.2188) +2024-12-26 14:40:58,679 - train: [ INFO] - Eval : 42 Time: 0.131 (0.580) Loss: 1.0333 (1.0677) Acc@1: 62.5000 (61.2903)Acc@5: 100.0000 (99.1935) +2024-12-26 14:41:02,225 - train: [ INFO] - Train: 43 [ 0/52 ( 0%)] Loss: 0.620502 (0.6205) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 2.423s, 52.83/s (2.423s, 52.83/s) LR: 3.846e-04 Data: 1.973 (1.973) +2024-12-26 14:41:21,787 - train: [ INFO] - Train: 43 [ 50/52 ( 98%)] Loss: 0.605476 (0.6130) Acc@1: 93.7500 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.49/s (0.430s, 297.46/s) LR: 3.846e-04 Data: 0.000 (0.040) +2024-12-26 14:41:22,170 - train: [ INFO] - Train: 43 [ 51/52 (100%)] Loss: 0.665574 (0.6305) Acc@1: 88.2812 (92.4479) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.63/s (0.429s, 298.12/s) LR: 3.846e-04 Data: 0.000 (0.039) +2024-12-26 14:41:23,792 - train: [ INFO] - Eval : 43 Time: 1.482 (1.482) Loss: 1.4847 (1.4847) Acc@1: 49.2188 (49.2188)Acc@5: 97.6562 (97.6562) +2024-12-26 14:41:24,601 - train: [ INFO] - Eval : 43 Time: 0.139 (0.382) Loss: 1.1550 (1.3220) Acc@1: 56.7308 (54.9731)Acc@5: 99.0385 (98.6559) +2024-12-26 14:41:28,644 - train: [ INFO] - Train: 44 [ 0/52 ( 0%)] Loss: 0.573299 (0.5733) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 2.399s, 53.34/s (2.399s, 53.34/s) LR: 3.751e-04 Data: 1.940 (1.940) +2024-12-26 14:41:48,431 - train: [ INFO] - Train: 44 [ 50/52 ( 98%)] Loss: 0.605710 (0.5895) Acc@1: 92.1875 (93.3594) Acc@5: 100.0000 (100.0000) Time: 0.387s, 331.08/s (0.434s, 294.82/s) LR: 3.751e-04 Data: 0.000 (0.039) +2024-12-26 14:41:48,814 - train: [ INFO] - Train: 44 [ 51/52 (100%)] Loss: 0.685209 (0.6214) Acc@1: 90.6250 (92.4479) Acc@5: 100.0000 (100.0000) Time: 0.380s, 337.28/s (0.433s, 295.53/s) LR: 3.751e-04 Data: 0.000 (0.039) +2024-12-26 14:41:50,284 - train: [ INFO] - Eval : 44 Time: 1.251 (1.251) Loss: 1.3199 (1.3199) Acc@1: 55.4688 (55.4688)Acc@5: 96.0938 (96.0938) +2024-12-26 14:41:51,010 - train: [ INFO] - Eval : 44 Time: 0.138 (0.330) Loss: 1.1868 (1.2668) Acc@1: 67.3077 (59.6774)Acc@5: 100.0000 (98.1183) +2024-12-26 14:41:55,060 - train: [ INFO] - Train: 45 [ 0/52 ( 0%)] Loss: 0.594026 (0.5940) Acc@1: 92.9688 (92.9688) Acc@5: 100.0000 (100.0000) Time: 3.272s, 39.12/s (3.272s, 39.12/s) LR: 3.656e-04 Data: 2.824 (2.824) +2024-12-26 14:42:14,817 - train: [ INFO] - Train: 45 [ 50/52 ( 98%)] Loss: 0.594837 (0.5944) Acc@1: 94.5312 (93.7500) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.58/s (0.450s, 284.30/s) LR: 3.656e-04 Data: 0.000 (0.056) +2024-12-26 14:42:15,220 - train: [ INFO] - Train: 45 [ 51/52 (100%)] Loss: 0.652954 (0.6139) Acc@1: 88.2812 (91.9271) Acc@5: 100.0000 (100.0000) Time: 0.400s, 320.02/s (0.449s, 284.91/s) LR: 3.656e-04 Data: 0.000 (0.055) +2024-12-26 14:42:16,737 - train: [ INFO] - Eval : 45 Time: 1.316 (1.316) Loss: 1.1534 (1.1534) Acc@1: 62.5000 (62.5000)Acc@5: 97.6562 (97.6562) +2024-12-26 14:42:17,473 - train: [ INFO] - Eval : 45 Time: 0.156 (0.342) Loss: 1.0012 (1.1058) Acc@1: 62.5000 (61.6935)Acc@5: 99.0385 (98.6559) +2024-12-26 14:42:19,948 - train: [ INFO] - Train: 46 [ 0/52 ( 0%)] Loss: 0.623964 (0.6240) Acc@1: 92.1875 (92.1875) Acc@5: 100.0000 (100.0000) Time: 1.684s, 75.99/s (1.684s, 75.99/s) LR: 3.560e-04 Data: 1.231 (1.231) +2024-12-26 14:42:39,419 - train: [ INFO] - Train: 46 [ 50/52 ( 98%)] Loss: 0.610610 (0.6173) Acc@1: 91.4062 (91.7969) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.22/s (0.413s, 309.81/s) LR: 3.560e-04 Data: 0.000 (0.025) +2024-12-26 14:42:39,817 - train: [ INFO] - Train: 46 [ 51/52 (100%)] Loss: 0.579382 (0.6047) Acc@1: 91.4062 (91.6667) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.56/s (0.413s, 310.22/s) LR: 3.560e-04 Data: 0.000 (0.025) +2024-12-26 14:42:41,301 - train: [ INFO] - Eval : 46 Time: 1.335 (1.335) Loss: 1.3049 (1.3049) Acc@1: 58.5938 (58.5938)Acc@5: 97.6562 (97.6562) +2024-12-26 14:42:42,055 - train: [ INFO] - Eval : 46 Time: 0.144 (0.348) Loss: 1.3090 (1.2746) Acc@1: 55.7692 (57.1237)Acc@5: 96.1538 (97.8495) +2024-12-26 14:42:44,292 - train: [ INFO] - Train: 47 [ 0/52 ( 0%)] Loss: 0.615126 (0.6151) Acc@1: 92.1875 (92.1875) Acc@5: 100.0000 (100.0000) Time: 1.420s, 90.11/s (1.420s, 90.11/s) LR: 3.464e-04 Data: 0.989 (0.989) +2024-12-26 14:43:03,886 - train: [ INFO] - Train: 47 [ 50/52 ( 98%)] Loss: 0.624994 (0.6201) Acc@1: 91.4062 (91.7969) Acc@5: 100.0000 (100.0000) Time: 0.400s, 319.81/s (0.411s, 311.49/s) LR: 3.464e-04 Data: 0.000 (0.020) +2024-12-26 14:43:04,276 - train: [ INFO] - Train: 47 [ 51/52 (100%)] Loss: 0.598201 (0.6128) Acc@1: 91.4062 (91.6667) Acc@5: 100.0000 (100.0000) Time: 0.387s, 330.74/s (0.410s, 311.83/s) LR: 3.464e-04 Data: 0.000 (0.020) +2024-12-26 14:43:06,001 - train: [ INFO] - Eval : 47 Time: 1.583 (1.583) Loss: 0.9513 (0.9513) Acc@1: 64.0625 (64.0625)Acc@5: 99.2188 (99.2188) +2024-12-26 14:43:06,743 - train: [ INFO] - Eval : 47 Time: 0.144 (0.388) Loss: 1.0609 (1.1012) Acc@1: 61.5385 (59.9462)Acc@5: 99.0385 (98.1183) +2024-12-26 14:43:09,773 - train: [ INFO] - Train: 48 [ 0/52 ( 0%)] Loss: 0.614840 (0.6148) Acc@1: 92.9688 (92.9688) Acc@5: 100.0000 (100.0000) Time: 1.774s, 72.15/s (1.774s, 72.15/s) LR: 3.368e-04 Data: 1.330 (1.330) +2024-12-26 14:43:29,389 - train: [ INFO] - Train: 48 [ 50/52 ( 98%)] Loss: 0.555001 (0.5849) Acc@1: 95.3125 (94.1406) Acc@5: 100.0000 (100.0000) Time: 0.381s, 336.30/s (0.419s, 305.80/s) LR: 3.368e-04 Data: 0.000 (0.027) +2024-12-26 14:43:29,772 - train: [ INFO] - Train: 48 [ 51/52 (100%)] Loss: 0.608702 (0.5928) Acc@1: 92.1875 (93.4896) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.69/s (0.418s, 306.34/s) LR: 3.368e-04 Data: 0.000 (0.027) +2024-12-26 14:43:31,844 - train: [ INFO] - Eval : 48 Time: 1.906 (1.906) Loss: 1.3901 (1.3901) Acc@1: 53.9062 (53.9062)Acc@5: 96.8750 (96.8750) +2024-12-26 14:43:32,587 - train: [ INFO] - Eval : 48 Time: 0.132 (0.441) Loss: 1.2868 (1.3807) Acc@1: 65.3846 (56.1828)Acc@5: 94.2308 (97.1774) +2024-12-26 14:43:34,976 - train: [ INFO] - Train: 49 [ 0/52 ( 0%)] Loss: 0.550358 (0.5504) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.578s, 81.10/s (1.578s, 81.10/s) LR: 3.272e-04 Data: 1.126 (1.126) +2024-12-26 14:43:54,561 - train: [ INFO] - Train: 49 [ 50/52 ( 98%)] Loss: 0.573998 (0.5622) Acc@1: 93.7500 (95.3125) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.51/s (0.414s, 309.24/s) LR: 3.272e-04 Data: 0.000 (0.023) +2024-12-26 14:43:54,942 - train: [ INFO] - Train: 49 [ 51/52 (100%)] Loss: 0.652085 (0.5921) Acc@1: 88.2812 (92.9688) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.39/s (0.413s, 309.74/s) LR: 3.272e-04 Data: 0.000 (0.023) +2024-12-26 14:43:56,742 - train: [ INFO] - Eval : 49 Time: 1.658 (1.658) Loss: 1.3054 (1.3054) Acc@1: 60.1562 (60.1562)Acc@5: 93.7500 (93.7500) +2024-12-26 14:43:57,464 - train: [ INFO] - Eval : 49 Time: 0.131 (0.397) Loss: 1.3771 (1.2354) Acc@1: 54.8077 (61.1559)Acc@5: 92.3077 (95.9677) +2024-12-26 14:43:59,888 - train: [ INFO] - Train: 50 [ 0/52 ( 0%)] Loss: 0.521236 (0.5212) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.641s, 77.98/s (1.641s, 77.98/s) LR: 3.175e-04 Data: 1.200 (1.200) +2024-12-26 14:44:19,552 - train: [ INFO] - Train: 50 [ 50/52 ( 98%)] Loss: 0.611123 (0.5662) Acc@1: 91.4062 (94.9219) Acc@5: 100.0000 (100.0000) Time: 0.388s, 330.30/s (0.417s, 307.19/s) LR: 3.175e-04 Data: 0.001 (0.025) +2024-12-26 14:44:19,937 - train: [ INFO] - Train: 50 [ 51/52 (100%)] Loss: 0.614299 (0.5822) Acc@1: 89.0625 (92.9688) Acc@5: 100.0000 (100.0000) Time: 0.381s, 335.53/s (0.416s, 307.69/s) LR: 3.175e-04 Data: 0.000 (0.024) +2024-12-26 14:44:21,933 - train: [ INFO] - Eval : 50 Time: 1.838 (1.838) Loss: 1.1721 (1.1721) Acc@1: 57.0312 (57.0312)Acc@5: 97.6562 (97.6562) +2024-12-26 14:44:22,666 - train: [ INFO] - Eval : 50 Time: 0.154 (0.429) Loss: 1.0983 (1.2135) Acc@1: 63.4615 (59.4086)Acc@5: 100.0000 (97.7151) +2024-12-26 14:44:24,871 - train: [ INFO] - Train: 51 [ 0/52 ( 0%)] Loss: 0.553349 (0.5533) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 1.437s, 89.08/s (1.437s, 89.08/s) LR: 3.078e-04 Data: 1.002 (1.002) +2024-12-26 14:44:44,354 - train: [ INFO] - Train: 51 [ 50/52 ( 98%)] Loss: 0.584355 (0.5689) Acc@1: 92.9688 (94.1406) Acc@5: 100.0000 (100.0000) Time: 0.388s, 330.19/s (0.409s, 312.95/s) LR: 3.078e-04 Data: 0.000 (0.021) +2024-12-26 14:44:44,747 - train: [ INFO] - Train: 51 [ 51/52 (100%)] Loss: 0.631885 (0.5899) Acc@1: 93.7500 (94.0104) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.91/s (0.408s, 313.37/s) LR: 3.078e-04 Data: 0.000 (0.020) +2024-12-26 14:44:47,160 - train: [ INFO] - Eval : 51 Time: 2.262 (2.262) Loss: 1.3910 (1.3910) Acc@1: 52.3438 (52.3438)Acc@5: 96.0938 (96.0938) +2024-12-26 14:44:47,919 - train: [ INFO] - Eval : 51 Time: 0.147 (0.504) Loss: 1.3739 (1.1796) Acc@1: 60.5769 (61.6935)Acc@5: 98.0769 (97.5806) +2024-12-26 14:44:50,557 - train: [ INFO] - Train: 52 [ 0/52 ( 0%)] Loss: 0.559430 (0.5594) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 1.854s, 69.03/s (1.854s, 69.03/s) LR: 2.982e-04 Data: 1.426 (1.426) +2024-12-26 14:45:10,289 - train: [ INFO] - Train: 52 [ 50/52 ( 98%)] Loss: 0.591587 (0.5755) Acc@1: 92.9688 (94.1406) Acc@5: 100.0000 (100.0000) Time: 0.387s, 330.80/s (0.422s, 303.23/s) LR: 2.982e-04 Data: 0.000 (0.029) +2024-12-26 14:45:10,888 - train: [ INFO] - Train: 52 [ 51/52 (100%)] Loss: 0.541507 (0.5642) Acc@1: 95.3125 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.402s, 318.38/s (0.422s, 303.51/s) LR: 2.982e-04 Data: 0.000 (0.028) +2024-12-26 14:45:12,834 - train: [ INFO] - Eval : 52 Time: 1.720 (1.720) Loss: 1.4118 (1.4118) Acc@1: 57.8125 (57.8125)Acc@5: 97.6562 (97.6562) +2024-12-26 14:45:13,556 - train: [ INFO] - Eval : 52 Time: 0.132 (0.407) Loss: 1.4276 (1.3054) Acc@1: 57.6923 (57.6613)Acc@5: 96.1538 (97.5806) +2024-12-26 14:45:17,143 - train: [ INFO] - Train: 53 [ 0/52 ( 0%)] Loss: 0.589410 (0.5894) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 2.732s, 46.85/s (2.732s, 46.85/s) LR: 2.886e-04 Data: 2.292 (2.292) +2024-12-26 14:45:36,682 - train: [ INFO] - Train: 53 [ 50/52 ( 98%)] Loss: 0.583694 (0.5866) Acc@1: 93.7500 (94.1406) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.53/s (0.436s, 293.74/s) LR: 2.886e-04 Data: 0.000 (0.046) +2024-12-26 14:45:37,065 - train: [ INFO] - Train: 53 [ 51/52 (100%)] Loss: 0.583588 (0.5856) Acc@1: 93.7500 (94.0104) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.78/s (0.435s, 294.46/s) LR: 2.886e-04 Data: 0.000 (0.045) +2024-12-26 14:45:40,131 - train: [ INFO] - Eval : 53 Time: 2.886 (2.886) Loss: 1.1676 (1.1676) Acc@1: 60.9375 (60.9375)Acc@5: 98.4375 (98.4375) +2024-12-26 14:45:40,826 - train: [ INFO] - Eval : 53 Time: 0.131 (0.597) Loss: 1.1668 (1.1087) Acc@1: 56.7308 (62.5000)Acc@5: 96.1538 (97.4462) +2024-12-26 14:45:41,943 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-53.pth.tar', 62.500000123054754) + +2024-12-26 14:45:44,289 - train: [ INFO] - Train: 54 [ 0/52 ( 0%)] Loss: 0.579354 (0.5794) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 2.277s, 56.21/s (2.277s, 56.21/s) LR: 2.790e-04 Data: 1.854 (1.854) +2024-12-26 14:46:03,719 - train: [ INFO] - Train: 54 [ 50/52 ( 98%)] Loss: 0.512772 (0.5461) Acc@1: 97.6562 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.44/s (0.425s, 301.20/s) LR: 2.790e-04 Data: 0.000 (0.037) +2024-12-26 14:46:04,107 - train: [ INFO] - Train: 54 [ 51/52 (100%)] Loss: 0.552030 (0.5481) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.82/s (0.424s, 301.75/s) LR: 2.790e-04 Data: 0.000 (0.037) +2024-12-26 14:46:05,955 - train: [ INFO] - Eval : 54 Time: 1.672 (1.672) Loss: 0.9756 (0.9756) Acc@1: 67.9688 (67.9688)Acc@5: 98.4375 (98.4375) +2024-12-26 14:46:06,671 - train: [ INFO] - Eval : 54 Time: 0.132 (0.398) Loss: 1.1246 (1.1207) Acc@1: 63.4615 (62.5000)Acc@5: 97.1154 (98.1183) +2024-12-26 14:46:09,066 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-54.pth.tar', 62.5000002461095) + +2024-12-26 14:46:12,070 - train: [ INFO] - Train: 55 [ 0/52 ( 0%)] Loss: 0.526340 (0.5263) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 2.909s, 44.01/s (2.909s, 44.01/s) LR: 2.694e-04 Data: 2.480 (2.480) +2024-12-26 14:46:31,906 - train: [ INFO] - Train: 55 [ 50/52 ( 98%)] Loss: 0.536439 (0.5314) Acc@1: 95.3125 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.90/s (0.445s, 287.66/s) LR: 2.694e-04 Data: 0.000 (0.050) +2024-12-26 14:46:32,289 - train: [ INFO] - Train: 55 [ 51/52 (100%)] Loss: 0.563548 (0.5421) Acc@1: 96.0938 (96.3542) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.48/s (0.444s, 288.47/s) LR: 2.694e-04 Data: 0.000 (0.049) +2024-12-26 14:46:33,956 - train: [ INFO] - Eval : 55 Time: 1.489 (1.489) Loss: 1.1314 (1.1314) Acc@1: 60.9375 (60.9375)Acc@5: 96.8750 (96.8750) +2024-12-26 14:46:34,667 - train: [ INFO] - Eval : 55 Time: 0.136 (0.367) Loss: 1.2214 (1.1097) Acc@1: 64.4231 (64.1129)Acc@5: 96.1538 (97.1774) +2024-12-26 14:46:35,495 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-55.pth.tar', 64.11290371802545) + +2024-12-26 14:46:38,942 - train: [ INFO] - Train: 56 [ 0/52 ( 0%)] Loss: 0.529967 (0.5300) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 3.425s, 37.37/s (3.425s, 37.37/s) LR: 2.599e-04 Data: 2.976 (2.976) +2024-12-26 14:46:58,698 - train: [ INFO] - Train: 56 [ 50/52 ( 98%)] Loss: 0.593912 (0.5619) Acc@1: 94.5312 (94.9219) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.88/s (0.454s, 282.21/s) LR: 2.599e-04 Data: 0.000 (0.059) +2024-12-26 14:46:59,094 - train: [ INFO] - Train: 56 [ 51/52 (100%)] Loss: 0.580059 (0.5680) Acc@1: 93.7500 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.72/s (0.452s, 282.94/s) LR: 2.599e-04 Data: 0.000 (0.058) +2024-12-26 14:47:00,519 - train: [ INFO] - Eval : 56 Time: 1.255 (1.255) Loss: 1.1399 (1.1399) Acc@1: 60.1562 (60.1562)Acc@5: 98.4375 (98.4375) +2024-12-26 14:47:01,259 - train: [ INFO] - Eval : 56 Time: 0.141 (0.333) Loss: 1.2743 (1.2421) Acc@1: 57.6923 (58.6022)Acc@5: 99.0385 (97.9839) +2024-12-26 14:47:03,970 - train: [ INFO] - Train: 57 [ 0/52 ( 0%)] Loss: 0.545467 (0.5455) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.954s, 65.51/s (1.954s, 65.51/s) LR: 2.504e-04 Data: 1.500 (1.500) +2024-12-26 14:47:23,763 - train: [ INFO] - Train: 57 [ 50/52 ( 98%)] Loss: 0.545941 (0.5457) Acc@1: 94.5312 (95.7031) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.65/s (0.425s, 301.52/s) LR: 2.504e-04 Data: 0.000 (0.031) +2024-12-26 14:47:24,149 - train: [ INFO] - Train: 57 [ 51/52 (100%)] Loss: 0.538366 (0.5433) Acc@1: 96.0938 (95.8333) Acc@5: 100.0000 (100.0000) Time: 0.383s, 333.98/s (0.424s, 302.09/s) LR: 2.504e-04 Data: 0.000 (0.030) +2024-12-26 14:47:25,514 - train: [ INFO] - Eval : 57 Time: 1.206 (1.206) Loss: 1.2591 (1.2591) Acc@1: 56.2500 (56.2500)Acc@5: 95.3125 (95.3125) +2024-12-26 14:47:26,256 - train: [ INFO] - Eval : 57 Time: 0.146 (0.325) Loss: 1.3456 (1.3497) Acc@1: 60.5769 (57.3925)Acc@5: 94.2308 (96.2366) +2024-12-26 14:47:28,612 - train: [ INFO] - Train: 58 [ 0/52 ( 0%)] Loss: 0.546664 (0.5467) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 1.559s, 82.12/s (1.559s, 82.12/s) LR: 2.410e-04 Data: 1.109 (1.109) +2024-12-26 14:47:48,353 - train: [ INFO] - Train: 58 [ 50/52 ( 98%)] Loss: 0.517780 (0.5322) Acc@1: 96.8750 (95.7031) Acc@5: 100.0000 (100.0000) Time: 0.400s, 319.76/s (0.416s, 307.62/s) LR: 2.410e-04 Data: 0.000 (0.023) +2024-12-26 14:47:48,764 - train: [ INFO] - Train: 58 [ 51/52 (100%)] Loss: 0.548266 (0.5376) Acc@1: 96.0938 (95.8333) Acc@5: 100.0000 (100.0000) Time: 0.403s, 317.99/s (0.416s, 307.81/s) LR: 2.410e-04 Data: 0.000 (0.022) +2024-12-26 14:47:50,091 - train: [ INFO] - Eval : 58 Time: 1.193 (1.193) Loss: 1.4171 (1.4171) Acc@1: 54.6875 (54.6875)Acc@5: 96.8750 (96.8750) +2024-12-26 14:47:50,848 - train: [ INFO] - Eval : 58 Time: 0.136 (0.325) Loss: 1.2697 (1.2709) Acc@1: 59.6154 (57.1237)Acc@5: 98.0769 (98.5215) +2024-12-26 14:47:53,638 - train: [ INFO] - Train: 59 [ 0/52 ( 0%)] Loss: 0.535395 (0.5354) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 1.749s, 73.17/s (1.749s, 73.17/s) LR: 2.317e-04 Data: 1.315 (1.315) +2024-12-26 14:48:13,152 - train: [ INFO] - Train: 59 [ 50/52 ( 98%)] Loss: 0.515146 (0.5253) Acc@1: 96.8750 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.384s, 332.93/s (0.416s, 307.59/s) LR: 2.317e-04 Data: 0.000 (0.027) +2024-12-26 14:48:13,553 - train: [ INFO] - Train: 59 [ 51/52 (100%)] Loss: 0.594779 (0.5484) Acc@1: 92.1875 (94.7917) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.52/s (0.416s, 307.84/s) LR: 2.317e-04 Data: 0.000 (0.026) +2024-12-26 14:48:15,700 - train: [ INFO] - Eval : 59 Time: 1.968 (1.968) Loss: 0.9917 (0.9917) Acc@1: 68.7500 (68.7500)Acc@5: 97.6562 (97.6562) +2024-12-26 14:48:16,434 - train: [ INFO] - Eval : 59 Time: 0.158 (0.450) Loss: 1.2071 (1.0372) Acc@1: 61.5385 (64.9194)Acc@5: 96.1538 (97.3118) +2024-12-26 14:48:17,224 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-59.pth.tar', 64.91935512583743) + +2024-12-26 14:48:18,949 - train: [ INFO] - Train: 60 [ 0/52 ( 0%)] Loss: 0.596432 (0.5964) Acc@1: 90.6250 (90.6250) Acc@5: 100.0000 (100.0000) Time: 1.712s, 74.78/s (1.712s, 74.78/s) LR: 2.225e-04 Data: 1.288 (1.288) +2024-12-26 14:48:38,629 - train: [ INFO] - Train: 60 [ 50/52 ( 98%)] Loss: 0.503912 (0.5502) Acc@1: 97.6562 (94.1406) Acc@5: 100.0000 (100.0000) Time: 0.401s, 318.90/s (0.419s, 305.72/s) LR: 2.225e-04 Data: 0.000 (0.026) +2024-12-26 14:48:39,056 - train: [ INFO] - Train: 60 [ 51/52 (100%)] Loss: 0.563101 (0.5545) Acc@1: 94.5312 (94.2708) Acc@5: 100.0000 (100.0000) Time: 0.416s, 307.70/s (0.419s, 305.76/s) LR: 2.225e-04 Data: 0.000 (0.026) +2024-12-26 14:48:40,735 - train: [ INFO] - Eval : 60 Time: 1.521 (1.521) Loss: 1.1252 (1.1252) Acc@1: 61.7188 (61.7188)Acc@5: 100.0000 (100.0000) +2024-12-26 14:48:41,448 - train: [ INFO] - Eval : 60 Time: 0.131 (0.372) Loss: 1.0032 (1.0656) Acc@1: 67.3077 (64.7849)Acc@5: 97.1154 (98.1183) +2024-12-26 14:48:43,626 - train: [ INFO] - Train: 61 [ 0/52 ( 0%)] Loss: 0.530821 (0.5308) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.413s, 90.58/s (1.413s, 90.58/s) LR: 2.133e-04 Data: 1.019 (1.019) +2024-12-26 14:49:03,242 - train: [ INFO] - Train: 61 [ 50/52 ( 98%)] Loss: 0.482397 (0.5066) Acc@1: 98.4375 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.12/s (0.412s, 311.05/s) LR: 2.133e-04 Data: 0.000 (0.021) +2024-12-26 14:49:03,627 - train: [ INFO] - Train: 61 [ 51/52 (100%)] Loss: 0.489169 (0.5008) Acc@1: 100.0000 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.382s, 334.84/s (0.411s, 311.48/s) LR: 2.133e-04 Data: 0.000 (0.020) +2024-12-26 14:49:05,886 - train: [ INFO] - Eval : 61 Time: 2.122 (2.122) Loss: 1.2035 (1.2035) Acc@1: 59.3750 (59.3750)Acc@5: 97.6562 (97.6562) +2024-12-26 14:49:06,619 - train: [ INFO] - Eval : 61 Time: 0.151 (0.476) Loss: 1.0450 (1.2464) Acc@1: 69.2308 (60.6183)Acc@5: 98.0769 (96.9086) +2024-12-26 14:49:08,945 - train: [ INFO] - Train: 62 [ 0/52 ( 0%)] Loss: 0.516076 (0.5161) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.518s, 84.30/s (1.518s, 84.30/s) LR: 2.043e-04 Data: 1.081 (1.081) +2024-12-26 14:49:28,555 - train: [ INFO] - Train: 62 [ 50/52 ( 98%)] Loss: 0.535030 (0.5256) Acc@1: 96.0938 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.27/s (0.413s, 309.62/s) LR: 2.043e-04 Data: 0.000 (0.022) +2024-12-26 14:49:28,954 - train: [ INFO] - Train: 62 [ 51/52 (100%)] Loss: 0.570081 (0.5404) Acc@1: 94.5312 (96.3542) Acc@5: 100.0000 (100.0000) Time: 0.395s, 323.95/s (0.413s, 309.88/s) LR: 2.043e-04 Data: 0.000 (0.022) +2024-12-26 14:49:31,313 - train: [ INFO] - Eval : 62 Time: 2.204 (2.204) Loss: 1.0595 (1.0595) Acc@1: 62.5000 (62.5000)Acc@5: 97.6562 (97.6562) +2024-12-26 14:49:32,035 - train: [ INFO] - Eval : 62 Time: 0.135 (0.488) Loss: 1.0451 (1.0784) Acc@1: 66.3462 (64.6505)Acc@5: 97.1154 (97.1774) +2024-12-26 14:49:34,571 - train: [ INFO] - Train: 63 [ 0/52 ( 0%)] Loss: 0.512152 (0.5122) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.739s, 73.59/s (1.739s, 73.59/s) LR: 1.954e-04 Data: 1.257 (1.257) +2024-12-26 14:49:54,373 - train: [ INFO] - Train: 63 [ 50/52 ( 98%)] Loss: 0.493535 (0.5028) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.69/s (0.421s, 303.73/s) LR: 1.954e-04 Data: 0.000 (0.026) +2024-12-26 14:49:54,770 - train: [ INFO] - Train: 63 [ 51/52 (100%)] Loss: 0.543962 (0.5165) Acc@1: 95.3125 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.12/s (0.421s, 304.13/s) LR: 1.954e-04 Data: 0.001 (0.025) +2024-12-26 14:49:57,249 - train: [ INFO] - Eval : 63 Time: 2.301 (2.301) Loss: 1.0413 (1.0413) Acc@1: 66.4062 (66.4062)Acc@5: 97.6562 (97.6562) +2024-12-26 14:49:57,974 - train: [ INFO] - Eval : 63 Time: 0.140 (0.504) Loss: 1.1324 (1.0800) Acc@1: 59.6154 (63.4409)Acc@5: 96.1538 (97.5806) +2024-12-26 14:50:01,140 - train: [ INFO] - Train: 64 [ 0/52 ( 0%)] Loss: 0.512194 (0.5122) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.839s, 69.59/s (1.839s, 69.59/s) LR: 1.866e-04 Data: 1.431 (1.431) +2024-12-26 14:50:20,710 - train: [ INFO] - Train: 64 [ 50/52 ( 98%)] Loss: 0.554776 (0.5335) Acc@1: 94.5312 (95.3125) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.87/s (0.419s, 305.63/s) LR: 1.866e-04 Data: 0.000 (0.029) +2024-12-26 14:50:21,184 - train: [ INFO] - Train: 64 [ 51/52 (100%)] Loss: 0.538143 (0.5350) Acc@1: 94.5312 (95.0521) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.33/s (0.418s, 306.09/s) LR: 1.866e-04 Data: 0.000 (0.029) +2024-12-26 14:50:23,613 - train: [ INFO] - Eval : 64 Time: 2.183 (2.183) Loss: 1.1654 (1.1654) Acc@1: 63.2812 (63.2812)Acc@5: 94.5312 (94.5312) +2024-12-26 14:50:24,346 - train: [ INFO] - Eval : 64 Time: 0.137 (0.486) Loss: 1.3490 (1.1577) Acc@1: 56.7308 (62.0968)Acc@5: 96.1538 (96.6398) +2024-12-26 14:50:27,611 - train: [ INFO] - Train: 65 [ 0/52 ( 0%)] Loss: 0.509018 (0.5090) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 2.455s, 52.14/s (2.455s, 52.14/s) LR: 1.779e-04 Data: 1.994 (1.994) +2024-12-26 14:50:47,346 - train: [ INFO] - Train: 65 [ 50/52 ( 98%)] Loss: 0.489432 (0.4992) Acc@1: 98.4375 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.76/s (0.434s, 294.73/s) LR: 1.779e-04 Data: 0.000 (0.040) +2024-12-26 14:50:47,732 - train: [ INFO] - Train: 65 [ 51/52 (100%)] Loss: 0.528686 (0.5090) Acc@1: 96.8750 (97.1354) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.36/s (0.433s, 295.40/s) LR: 1.779e-04 Data: 0.000 (0.040) +2024-12-26 14:50:50,407 - train: [ INFO] - Eval : 65 Time: 2.493 (2.493) Loss: 1.0967 (1.0967) Acc@1: 61.7188 (61.7188)Acc@5: 100.0000 (100.0000) +2024-12-26 14:50:51,145 - train: [ INFO] - Eval : 65 Time: 0.142 (0.539) Loss: 1.0448 (1.0834) Acc@1: 62.5000 (63.0376)Acc@5: 98.0769 (98.3871) +2024-12-26 14:50:53,786 - train: [ INFO] - Train: 66 [ 0/52 ( 0%)] Loss: 0.490969 (0.4910) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.850s, 69.18/s (1.850s, 69.18/s) LR: 1.694e-04 Data: 1.413 (1.413) +2024-12-26 14:51:13,272 - train: [ INFO] - Train: 66 [ 50/52 ( 98%)] Loss: 0.505429 (0.4982) Acc@1: 97.6562 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.66/s (0.417s, 306.66/s) LR: 1.694e-04 Data: 0.000 (0.029) +2024-12-26 14:51:13,660 - train: [ INFO] - Train: 66 [ 51/52 (100%)] Loss: 0.500378 (0.4989) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.09/s (0.417s, 307.11/s) LR: 1.694e-04 Data: 0.000 (0.028) +2024-12-26 14:51:15,025 - train: [ INFO] - Eval : 66 Time: 1.193 (1.193) Loss: 1.1160 (1.1160) Acc@1: 60.9375 (60.9375)Acc@5: 99.2188 (99.2188) +2024-12-26 14:51:15,836 - train: [ INFO] - Eval : 66 Time: 0.156 (0.334) Loss: 1.0670 (1.1070) Acc@1: 61.5385 (61.9624)Acc@5: 99.0385 (97.9839) +2024-12-26 14:51:20,208 - train: [ INFO] - Train: 67 [ 0/52 ( 0%)] Loss: 0.504703 (0.5047) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 2.190s, 58.45/s (2.190s, 58.45/s) LR: 1.610e-04 Data: 1.744 (1.744) +2024-12-26 14:51:39,693 - train: [ INFO] - Train: 67 [ 50/52 ( 98%)] Loss: 0.498308 (0.5015) Acc@1: 98.4375 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.82/s (0.424s, 301.86/s) LR: 1.610e-04 Data: 0.000 (0.035) +2024-12-26 14:51:40,078 - train: [ INFO] - Train: 67 [ 51/52 (100%)] Loss: 0.497031 (0.5000) Acc@1: 98.4375 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.52/s (0.423s, 302.42/s) LR: 1.610e-04 Data: 0.000 (0.035) +2024-12-26 14:51:41,490 - train: [ INFO] - Eval : 67 Time: 1.252 (1.252) Loss: 1.0516 (1.0516) Acc@1: 60.9375 (60.9375)Acc@5: 96.8750 (96.8750) +2024-12-26 14:51:42,206 - train: [ INFO] - Eval : 67 Time: 0.135 (0.329) Loss: 1.3298 (1.1329) Acc@1: 60.5769 (62.6344)Acc@5: 95.1923 (97.4462) +2024-12-26 14:51:44,850 - train: [ INFO] - Train: 68 [ 0/52 ( 0%)] Loss: 0.533863 (0.5339) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.871s, 68.41/s (1.871s, 68.41/s) LR: 1.527e-04 Data: 1.409 (1.409) +2024-12-26 14:52:04,374 - train: [ INFO] - Train: 68 [ 50/52 ( 98%)] Loss: 0.492085 (0.5130) Acc@1: 96.8750 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.20/s (0.417s, 307.12/s) LR: 1.527e-04 Data: 0.000 (0.029) +2024-12-26 14:52:04,769 - train: [ INFO] - Train: 68 [ 51/52 (100%)] Loss: 0.457499 (0.4945) Acc@1: 99.2188 (97.3958) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.46/s (0.416s, 307.47/s) LR: 1.527e-04 Data: 0.000 (0.028) +2024-12-26 14:52:06,252 - train: [ INFO] - Eval : 68 Time: 1.318 (1.318) Loss: 0.9925 (0.9925) Acc@1: 66.4062 (66.4062)Acc@5: 98.4375 (98.4375) +2024-12-26 14:52:07,040 - train: [ INFO] - Eval : 68 Time: 0.145 (0.351) Loss: 1.0044 (1.1093) Acc@1: 65.3846 (62.3656)Acc@5: 98.0769 (98.1183) +2024-12-26 14:52:09,633 - train: [ INFO] - Train: 69 [ 0/52 ( 0%)] Loss: 0.515685 (0.5157) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.781s, 71.86/s (1.781s, 71.86/s) LR: 1.447e-04 Data: 1.339 (1.339) +2024-12-26 14:52:29,185 - train: [ INFO] - Train: 69 [ 50/52 ( 98%)] Loss: 0.483150 (0.4994) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.48/s (0.418s, 306.53/s) LR: 1.447e-04 Data: 0.000 (0.028) +2024-12-26 14:52:29,579 - train: [ INFO] - Train: 69 [ 51/52 (100%)] Loss: 0.510325 (0.5031) Acc@1: 98.4375 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.51/s (0.417s, 306.90/s) LR: 1.447e-04 Data: 0.000 (0.027) +2024-12-26 14:52:31,230 - train: [ INFO] - Eval : 69 Time: 1.482 (1.482) Loss: 0.9874 (0.9874) Acc@1: 71.0938 (71.0938)Acc@5: 98.4375 (98.4375) +2024-12-26 14:52:31,988 - train: [ INFO] - Eval : 69 Time: 0.161 (0.373) Loss: 1.1052 (1.0885) Acc@1: 69.2308 (66.5323)Acc@5: 99.0385 (97.8495) +2024-12-26 14:52:33,256 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-69.pth.tar', 66.53225872080813) + +2024-12-26 14:52:34,897 - train: [ INFO] - Train: 70 [ 0/52 ( 0%)] Loss: 0.564524 (0.5645) Acc@1: 93.7500 (93.7500) Acc@5: 100.0000 (100.0000) Time: 1.626s, 78.70/s (1.626s, 78.70/s) LR: 1.368e-04 Data: 1.205 (1.205) +2024-12-26 14:52:54,412 - train: [ INFO] - Train: 70 [ 50/52 ( 98%)] Loss: 0.480653 (0.5226) Acc@1: 98.4375 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.59/s (0.414s, 309.38/s) LR: 1.368e-04 Data: 0.000 (0.025) +2024-12-26 14:52:54,820 - train: [ INFO] - Train: 70 [ 51/52 (100%)] Loss: 0.502854 (0.5160) Acc@1: 98.4375 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.394s, 324.65/s (0.413s, 309.66/s) LR: 1.368e-04 Data: 0.000 (0.025) +2024-12-26 14:52:56,976 - train: [ INFO] - Eval : 70 Time: 2.024 (2.024) Loss: 1.2949 (1.2949) Acc@1: 53.9062 (53.9062)Acc@5: 96.8750 (96.8750) +2024-12-26 14:52:57,718 - train: [ INFO] - Eval : 70 Time: 0.132 (0.461) Loss: 1.0504 (1.0805) Acc@1: 64.4231 (63.3065)Acc@5: 98.0769 (97.4462) +2024-12-26 14:53:00,305 - train: [ INFO] - Train: 71 [ 0/52 ( 0%)] Loss: 0.552572 (0.5526) Acc@1: 92.9688 (92.9688) Acc@5: 100.0000 (100.0000) Time: 1.782s, 71.85/s (1.782s, 71.85/s) LR: 1.290e-04 Data: 1.336 (1.336) +2024-12-26 14:53:19,930 - train: [ INFO] - Train: 71 [ 50/52 ( 98%)] Loss: 0.486756 (0.5197) Acc@1: 99.2188 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.49/s (0.419s, 305.85/s) LR: 1.290e-04 Data: 0.000 (0.028) +2024-12-26 14:53:20,318 - train: [ INFO] - Train: 71 [ 51/52 (100%)] Loss: 0.477374 (0.5056) Acc@1: 99.2188 (97.1354) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.03/s (0.418s, 306.33/s) LR: 1.290e-04 Data: 0.000 (0.027) +2024-12-26 14:53:22,053 - train: [ INFO] - Eval : 71 Time: 1.590 (1.590) Loss: 1.0840 (1.0840) Acc@1: 64.8438 (64.8438)Acc@5: 97.6562 (97.6562) +2024-12-26 14:53:22,774 - train: [ INFO] - Eval : 71 Time: 0.132 (0.385) Loss: 1.1276 (1.0517) Acc@1: 62.5000 (64.9194)Acc@5: 98.0769 (97.9839) +2024-12-26 14:53:25,209 - train: [ INFO] - Train: 72 [ 0/52 ( 0%)] Loss: 0.482745 (0.4827) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.631s, 78.48/s (1.631s, 78.48/s) LR: 1.215e-04 Data: 1.198 (1.198) +2024-12-26 14:53:44,648 - train: [ INFO] - Train: 72 [ 50/52 ( 98%)] Loss: 0.504258 (0.4935) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.71/s (0.412s, 310.46/s) LR: 1.215e-04 Data: 0.000 (0.024) +2024-12-26 14:53:45,031 - train: [ INFO] - Train: 72 [ 51/52 (100%)] Loss: 0.485947 (0.4910) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.380s, 337.06/s (0.412s, 310.93/s) LR: 1.215e-04 Data: 0.000 (0.024) +2024-12-26 14:53:46,444 - train: [ INFO] - Eval : 72 Time: 1.231 (1.231) Loss: 1.3302 (1.3302) Acc@1: 57.0312 (57.0312)Acc@5: 96.8750 (96.8750) +2024-12-26 14:53:47,207 - train: [ INFO] - Eval : 72 Time: 0.141 (0.333) Loss: 0.9041 (1.1304) Acc@1: 66.3462 (61.9624)Acc@5: 98.0769 (97.4462) +2024-12-26 14:53:49,562 - train: [ INFO] - Train: 73 [ 0/52 ( 0%)] Loss: 0.503280 (0.5033) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.598s, 80.12/s (1.598s, 80.12/s) LR: 1.141e-04 Data: 1.169 (1.169) +2024-12-26 14:54:09,037 - train: [ INFO] - Train: 73 [ 50/52 ( 98%)] Loss: 0.482326 (0.4928) Acc@1: 98.4375 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.73/s (0.412s, 310.45/s) LR: 1.141e-04 Data: 0.000 (0.024) +2024-12-26 14:54:09,420 - train: [ INFO] - Train: 73 [ 51/52 (100%)] Loss: 0.469878 (0.4852) Acc@1: 99.2188 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.380s, 337.23/s (0.412s, 310.92/s) LR: 1.141e-04 Data: 0.000 (0.023) +2024-12-26 14:54:11,124 - train: [ INFO] - Eval : 73 Time: 1.545 (1.545) Loss: 1.0827 (1.0827) Acc@1: 63.2812 (63.2812)Acc@5: 96.8750 (96.8750) +2024-12-26 14:54:11,849 - train: [ INFO] - Eval : 73 Time: 0.131 (0.379) Loss: 0.9956 (1.0920) Acc@1: 69.2308 (62.9032)Acc@5: 99.0385 (97.7151) +2024-12-26 14:54:14,605 - train: [ INFO] - Train: 74 [ 0/52 ( 0%)] Loss: 0.487323 (0.4873) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.944s, 65.85/s (1.944s, 65.85/s) LR: 1.070e-04 Data: 1.505 (1.505) +2024-12-26 14:54:34,177 - train: [ INFO] - Train: 74 [ 50/52 ( 98%)] Loss: 0.487759 (0.4875) Acc@1: 98.4375 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.19/s (0.421s, 304.00/s) LR: 1.070e-04 Data: 0.000 (0.031) +2024-12-26 14:54:34,563 - train: [ INFO] - Train: 74 [ 51/52 (100%)] Loss: 0.521341 (0.4988) Acc@1: 96.8750 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.383s, 333.91/s (0.420s, 304.53/s) LR: 1.070e-04 Data: 0.000 (0.030) +2024-12-26 14:54:36,900 - train: [ INFO] - Eval : 74 Time: 2.179 (2.179) Loss: 1.0203 (1.0203) Acc@1: 68.7500 (68.7500)Acc@5: 97.6562 (97.6562) +2024-12-26 14:54:37,637 - train: [ INFO] - Eval : 74 Time: 0.132 (0.486) Loss: 1.0210 (1.0587) Acc@1: 66.3462 (65.1882)Acc@5: 99.0385 (97.7151) +2024-12-26 14:54:40,732 - train: [ INFO] - Train: 75 [ 0/52 ( 0%)] Loss: 0.478629 (0.4786) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.328s, 54.98/s (2.328s, 54.98/s) LR: 1.001e-04 Data: 1.899 (1.899) +2024-12-26 14:55:00,191 - train: [ INFO] - Train: 75 [ 50/52 ( 98%)] Loss: 0.486177 (0.4824) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.45/s (0.426s, 300.39/s) LR: 1.001e-04 Data: 0.000 (0.038) +2024-12-26 14:55:00,674 - train: [ INFO] - Train: 75 [ 51/52 (100%)] Loss: 0.479593 (0.4815) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.394s, 324.97/s (0.425s, 300.83/s) LR: 1.001e-04 Data: 0.000 (0.038) +2024-12-26 14:55:02,615 - train: [ INFO] - Eval : 75 Time: 1.753 (1.753) Loss: 1.0149 (1.0149) Acc@1: 64.0625 (64.0625)Acc@5: 97.6562 (97.6562) +2024-12-26 14:55:03,321 - train: [ INFO] - Eval : 75 Time: 0.146 (0.410) Loss: 1.1630 (1.0876) Acc@1: 62.5000 (63.3065)Acc@5: 95.1923 (97.8495) +2024-12-26 14:55:06,867 - train: [ INFO] - Train: 76 [ 0/52 ( 0%)] Loss: 0.472516 (0.4725) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.416s, 52.98/s (2.416s, 52.98/s) LR: 9.334e-05 Data: 1.960 (1.960) +2024-12-26 14:55:26,416 - train: [ INFO] - Train: 76 [ 50/52 ( 98%)] Loss: 0.502344 (0.4874) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.84/s (0.430s, 297.95/s) LR: 9.334e-05 Data: 0.000 (0.040) +2024-12-26 14:55:26,804 - train: [ INFO] - Train: 76 [ 51/52 (100%)] Loss: 0.511098 (0.4953) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.21/s (0.429s, 298.54/s) LR: 9.334e-05 Data: 0.000 (0.039) +2024-12-26 14:55:30,026 - train: [ INFO] - Eval : 76 Time: 3.014 (3.014) Loss: 1.1310 (1.1310) Acc@1: 64.0625 (64.0625)Acc@5: 96.8750 (96.8750) +2024-12-26 14:55:30,734 - train: [ INFO] - Eval : 76 Time: 0.131 (0.620) Loss: 1.0856 (1.0662) Acc@1: 66.3462 (63.5753)Acc@5: 97.1154 (98.2527) +2024-12-26 14:55:33,937 - train: [ INFO] - Train: 77 [ 0/52 ( 0%)] Loss: 0.493246 (0.4932) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.417s, 52.97/s (2.417s, 52.97/s) LR: 8.684e-05 Data: 1.987 (1.987) +2024-12-26 14:55:53,706 - train: [ INFO] - Train: 77 [ 50/52 ( 98%)] Loss: 0.477355 (0.4853) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.397s, 322.23/s (0.434s, 295.12/s) LR: 8.684e-05 Data: 0.000 (0.040) +2024-12-26 14:55:54,096 - train: [ INFO] - Train: 77 [ 51/52 (100%)] Loss: 0.471883 (0.4808) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.43/s (0.433s, 295.77/s) LR: 8.684e-05 Data: 0.000 (0.039) +2024-12-26 14:55:56,887 - train: [ INFO] - Eval : 77 Time: 2.613 (2.613) Loss: 0.9484 (0.9484) Acc@1: 64.0625 (64.0625)Acc@5: 97.6562 (97.6562) +2024-12-26 14:55:57,643 - train: [ INFO] - Eval : 77 Time: 0.150 (0.561) Loss: 0.9793 (1.0593) Acc@1: 62.5000 (63.1720)Acc@5: 99.0385 (98.1183) +2024-12-26 14:56:01,561 - train: [ INFO] - Train: 78 [ 0/52 ( 0%)] Loss: 0.499176 (0.4992) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 2.637s, 48.54/s (2.637s, 48.54/s) LR: 8.057e-05 Data: 2.218 (2.218) +2024-12-26 14:56:21,242 - train: [ INFO] - Train: 78 [ 50/52 ( 98%)] Loss: 0.469675 (0.4844) Acc@1: 99.2188 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.79/s (0.436s, 293.53/s) LR: 8.057e-05 Data: 0.000 (0.045) +2024-12-26 14:56:21,627 - train: [ INFO] - Train: 78 [ 51/52 (100%)] Loss: 0.472304 (0.4804) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.88/s (0.435s, 294.26/s) LR: 8.057e-05 Data: 0.000 (0.044) +2024-12-26 14:56:25,003 - train: [ INFO] - Eval : 78 Time: 3.216 (3.216) Loss: 1.0089 (1.0089) Acc@1: 67.1875 (67.1875)Acc@5: 98.4375 (98.4375) +2024-12-26 14:56:25,804 - train: [ INFO] - Eval : 78 Time: 0.132 (0.670) Loss: 1.0710 (1.0637) Acc@1: 61.5385 (64.3817)Acc@5: 95.1923 (97.0430) +2024-12-26 14:56:29,600 - train: [ INFO] - Train: 79 [ 0/52 ( 0%)] Loss: 0.493712 (0.4937) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 2.898s, 44.17/s (2.898s, 44.17/s) LR: 7.453e-05 Data: 2.483 (2.483) +2024-12-26 14:56:49,295 - train: [ INFO] - Train: 79 [ 50/52 ( 98%)] Loss: 0.500829 (0.4973) Acc@1: 97.6562 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.16/s (0.442s, 289.45/s) LR: 7.453e-05 Data: 0.000 (0.050) +2024-12-26 14:56:49,691 - train: [ INFO] - Train: 79 [ 51/52 (100%)] Loss: 0.495522 (0.4967) Acc@1: 97.6562 (97.3958) Acc@5: 100.0000 (100.0000) Time: 0.394s, 324.76/s (0.441s, 290.05/s) LR: 7.453e-05 Data: 0.000 (0.049) +2024-12-26 14:56:51,967 - train: [ INFO] - Eval : 79 Time: 2.091 (2.091) Loss: 0.9595 (0.9595) Acc@1: 66.4062 (66.4062)Acc@5: 99.2188 (99.2188) +2024-12-26 14:56:52,689 - train: [ INFO] - Eval : 79 Time: 0.131 (0.468) Loss: 1.2678 (1.0604) Acc@1: 55.7692 (64.2473)Acc@5: 97.1154 (98.2527) +2024-12-26 14:56:56,973 - train: [ INFO] - Train: 80 [ 0/52 ( 0%)] Loss: 0.465488 (0.4655) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.434s, 52.59/s (2.434s, 52.59/s) LR: 6.873e-05 Data: 1.988 (1.988) +2024-12-26 14:57:16,645 - train: [ INFO] - Train: 80 [ 50/52 ( 98%)] Loss: 0.522388 (0.4939) Acc@1: 96.8750 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.71/s (0.432s, 296.07/s) LR: 6.873e-05 Data: 0.000 (0.040) +2024-12-26 14:57:17,040 - train: [ INFO] - Train: 80 [ 51/52 (100%)] Loss: 0.485005 (0.4910) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.48/s (0.432s, 296.60/s) LR: 6.873e-05 Data: 0.000 (0.040) +2024-12-26 14:57:18,503 - train: [ INFO] - Eval : 80 Time: 1.302 (1.302) Loss: 1.1037 (1.1037) Acc@1: 64.0625 (64.0625)Acc@5: 97.6562 (97.6562) +2024-12-26 14:57:19,225 - train: [ INFO] - Eval : 80 Time: 0.133 (0.337) Loss: 0.9851 (1.0230) Acc@1: 66.3462 (65.1882)Acc@5: 99.0385 (98.6559) +2024-12-26 14:57:21,557 - train: [ INFO] - Train: 81 [ 0/52 ( 0%)] Loss: 0.482048 (0.4820) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.542s, 83.02/s (1.542s, 83.02/s) LR: 6.317e-05 Data: 1.080 (1.080) +2024-12-26 14:57:41,197 - train: [ INFO] - Train: 81 [ 50/52 ( 98%)] Loss: 0.468207 (0.4751) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.381s, 336.39/s (0.414s, 309.15/s) LR: 6.317e-05 Data: 0.000 (0.023) +2024-12-26 14:57:41,581 - train: [ INFO] - Train: 81 [ 51/52 (100%)] Loss: 0.476152 (0.4755) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.381s, 335.66/s (0.413s, 309.62/s) LR: 6.317e-05 Data: 0.001 (0.022) +2024-12-26 14:57:43,025 - train: [ INFO] - Eval : 81 Time: 1.242 (1.242) Loss: 0.8208 (0.8208) Acc@1: 76.5625 (76.5625)Acc@5: 97.6562 (97.6562) +2024-12-26 14:57:43,762 - train: [ INFO] - Eval : 81 Time: 0.139 (0.330) Loss: 1.0792 (1.0456) Acc@1: 58.6538 (64.2473)Acc@5: 98.0769 (98.2527) +2024-12-26 14:57:46,008 - train: [ INFO] - Train: 82 [ 0/52 ( 0%)] Loss: 0.514723 (0.5147) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.486s, 86.14/s (1.486s, 86.14/s) LR: 5.787e-05 Data: 1.021 (1.021) +2024-12-26 14:58:05,691 - train: [ INFO] - Train: 82 [ 50/52 ( 98%)] Loss: 0.501211 (0.5080) Acc@1: 97.6562 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.35/s (0.414s, 309.30/s) LR: 5.787e-05 Data: 0.000 (0.021) +2024-12-26 14:58:06,090 - train: [ INFO] - Train: 82 [ 51/52 (100%)] Loss: 0.485682 (0.5005) Acc@1: 98.4375 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.397s, 322.82/s (0.414s, 309.55/s) LR: 5.787e-05 Data: 0.000 (0.021) +2024-12-26 14:58:07,477 - train: [ INFO] - Eval : 82 Time: 1.232 (1.232) Loss: 1.1579 (1.1579) Acc@1: 60.9375 (60.9375)Acc@5: 96.0938 (96.0938) +2024-12-26 14:58:08,206 - train: [ INFO] - Eval : 82 Time: 0.131 (0.327) Loss: 1.0888 (1.0364) Acc@1: 64.4231 (65.3226)Acc@5: 98.0769 (98.2527) +2024-12-26 14:58:10,397 - train: [ INFO] - Train: 83 [ 0/52 ( 0%)] Loss: 0.459778 (0.4598) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.431s, 89.45/s (1.431s, 89.45/s) LR: 5.282e-05 Data: 1.017 (1.017) +2024-12-26 14:58:29,875 - train: [ INFO] - Train: 83 [ 50/52 ( 98%)] Loss: 0.474075 (0.4669) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.15/s (0.409s, 312.76/s) LR: 5.282e-05 Data: 0.000 (0.021) +2024-12-26 14:58:30,262 - train: [ INFO] - Train: 83 [ 51/52 (100%)] Loss: 0.469602 (0.4678) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.384s, 332.97/s (0.409s, 313.13/s) LR: 5.282e-05 Data: 0.000 (0.021) +2024-12-26 14:58:31,696 - train: [ INFO] - Eval : 83 Time: 1.280 (1.280) Loss: 1.2006 (1.2006) Acc@1: 61.7188 (61.7188)Acc@5: 99.2188 (99.2188) +2024-12-26 14:58:32,434 - train: [ INFO] - Eval : 83 Time: 0.131 (0.336) Loss: 1.0041 (1.0679) Acc@1: 69.2308 (63.7097)Acc@5: 97.1154 (98.5215) +2024-12-26 14:58:34,808 - train: [ INFO] - Train: 84 [ 0/52 ( 0%)] Loss: 0.476785 (0.4768) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.593s, 80.38/s (1.593s, 80.38/s) LR: 4.804e-05 Data: 1.127 (1.127) +2024-12-26 14:58:54,602 - train: [ INFO] - Train: 84 [ 50/52 ( 98%)] Loss: 0.469969 (0.4734) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.388s, 330.28/s (0.418s, 306.26/s) LR: 4.804e-05 Data: 0.000 (0.023) +2024-12-26 14:58:54,987 - train: [ INFO] - Train: 84 [ 51/52 (100%)] Loss: 0.536234 (0.4943) Acc@1: 94.5312 (97.3958) Acc@5: 100.0000 (100.0000) Time: 0.382s, 334.68/s (0.417s, 306.77/s) LR: 4.804e-05 Data: 0.000 (0.023) +2024-12-26 14:58:56,421 - train: [ INFO] - Eval : 84 Time: 1.271 (1.271) Loss: 1.1290 (1.1290) Acc@1: 64.0625 (64.0625)Acc@5: 98.4375 (98.4375) +2024-12-26 14:58:57,146 - train: [ INFO] - Eval : 84 Time: 0.133 (0.333) Loss: 1.1248 (1.0395) Acc@1: 63.4615 (64.7849)Acc@5: 98.0769 (98.3871) +2024-12-26 14:58:59,543 - train: [ INFO] - Train: 85 [ 0/52 ( 0%)] Loss: 0.474803 (0.4748) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.625s, 78.79/s (1.625s, 78.79/s) LR: 4.352e-05 Data: 1.160 (1.160) +2024-12-26 14:59:19,044 - train: [ INFO] - Train: 85 [ 50/52 ( 98%)] Loss: 0.476576 (0.4757) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.44/s (0.414s, 309.46/s) LR: 4.352e-05 Data: 0.000 (0.024) +2024-12-26 14:59:19,427 - train: [ INFO] - Train: 85 [ 51/52 (100%)] Loss: 0.474928 (0.4754) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.81/s (0.413s, 309.95/s) LR: 4.352e-05 Data: 0.000 (0.023) +2024-12-26 14:59:20,938 - train: [ INFO] - Eval : 85 Time: 1.361 (1.361) Loss: 0.9854 (0.9854) Acc@1: 68.7500 (68.7500)Acc@5: 98.4375 (98.4375) +2024-12-26 14:59:21,655 - train: [ INFO] - Eval : 85 Time: 0.133 (0.346) Loss: 1.1106 (1.0218) Acc@1: 65.3846 (66.5323)Acc@5: 97.1154 (98.5215) +2024-12-26 14:59:22,488 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-85.pth.tar', 66.53225880284464) + +2024-12-26 14:59:24,403 - train: [ INFO] - Train: 86 [ 0/52 ( 0%)] Loss: 0.483236 (0.4832) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.897s, 67.47/s (1.897s, 67.47/s) LR: 3.927e-05 Data: 1.470 (1.470) +2024-12-26 14:59:43,958 - train: [ INFO] - Train: 86 [ 50/52 ( 98%)] Loss: 0.500292 (0.4918) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.58/s (0.420s, 304.96/s) LR: 3.927e-05 Data: 0.000 (0.030) +2024-12-26 14:59:44,353 - train: [ INFO] - Train: 86 [ 51/52 (100%)] Loss: 0.471564 (0.4850) Acc@1: 99.2188 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.29/s (0.419s, 305.49/s) LR: 3.927e-05 Data: 0.000 (0.029) +2024-12-26 14:59:47,000 - train: [ INFO] - Eval : 86 Time: 2.497 (2.497) Loss: 1.1077 (1.1077) Acc@1: 61.7188 (61.7188)Acc@5: 98.4375 (98.4375) +2024-12-26 14:59:47,727 - train: [ INFO] - Eval : 86 Time: 0.132 (0.538) Loss: 0.8905 (1.0488) Acc@1: 66.3462 (64.6505)Acc@5: 99.0385 (98.2527) +2024-12-26 14:59:50,428 - train: [ INFO] - Train: 87 [ 0/52 ( 0%)] Loss: 0.465002 (0.4650) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.875s, 68.27/s (1.875s, 68.27/s) LR: 3.529e-05 Data: 1.437 (1.437) +2024-12-26 15:00:10,040 - train: [ INFO] - Train: 87 [ 50/52 ( 98%)] Loss: 0.490631 (0.4778) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.383s, 333.98/s (0.420s, 304.44/s) LR: 3.529e-05 Data: 0.000 (0.029) +2024-12-26 15:00:10,447 - train: [ INFO] - Train: 87 [ 51/52 (100%)] Loss: 0.479528 (0.4784) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.405s, 316.29/s (0.420s, 304.66/s) LR: 3.529e-05 Data: 0.000 (0.029) +2024-12-26 15:00:13,348 - train: [ INFO] - Eval : 87 Time: 2.727 (2.727) Loss: 1.0585 (1.0585) Acc@1: 65.6250 (65.6250)Acc@5: 97.6562 (97.6562) +2024-12-26 15:00:14,066 - train: [ INFO] - Eval : 87 Time: 0.133 (0.574) Loss: 0.9721 (1.0348) Acc@1: 65.3846 (64.9194)Acc@5: 98.0769 (98.3871) +2024-12-26 15:00:17,256 - train: [ INFO] - Train: 88 [ 0/52 ( 0%)] Loss: 0.516608 (0.5166) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 2.398s, 53.38/s (2.398s, 53.38/s) LR: 3.159e-05 Data: 1.938 (1.938) +2024-12-26 15:00:36,767 - train: [ INFO] - Train: 88 [ 50/52 ( 98%)] Loss: 0.463140 (0.4899) Acc@1: 100.0000 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.47/s (0.429s, 298.60/s) LR: 3.159e-05 Data: 0.000 (0.039) +2024-12-26 15:00:37,151 - train: [ INFO] - Train: 88 [ 51/52 (100%)] Loss: 0.453146 (0.4776) Acc@1: 100.0000 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.381s, 336.18/s (0.428s, 299.24/s) LR: 3.159e-05 Data: 0.000 (0.038) +2024-12-26 15:00:39,837 - train: [ INFO] - Eval : 88 Time: 2.534 (2.534) Loss: 1.0901 (1.0901) Acc@1: 60.1562 (60.1562)Acc@5: 98.4375 (98.4375) +2024-12-26 15:00:40,560 - train: [ INFO] - Eval : 88 Time: 0.134 (0.543) Loss: 1.0551 (1.1229) Acc@1: 66.3462 (63.1720)Acc@5: 100.0000 (97.5806) +2024-12-26 15:00:43,709 - train: [ INFO] - Train: 89 [ 0/52 ( 0%)] Loss: 0.471108 (0.4711) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.369s, 54.04/s (2.369s, 54.04/s) LR: 2.818e-05 Data: 1.941 (1.941) +2024-12-26 15:01:03,354 - train: [ INFO] - Train: 89 [ 50/52 ( 98%)] Loss: 0.453131 (0.4621) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.75/s (0.430s, 297.59/s) LR: 2.818e-05 Data: 0.000 (0.039) +2024-12-26 15:01:03,754 - train: [ INFO] - Train: 89 [ 51/52 (100%)] Loss: 0.486706 (0.4703) Acc@1: 98.4375 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.397s, 322.71/s (0.429s, 298.03/s) LR: 2.818e-05 Data: 0.001 (0.039) +2024-12-26 15:01:05,159 - train: [ INFO] - Eval : 89 Time: 1.253 (1.253) Loss: 0.8118 (0.8118) Acc@1: 70.3125 (70.3125)Acc@5: 99.2188 (99.2188) +2024-12-26 15:01:05,952 - train: [ INFO] - Eval : 89 Time: 0.133 (0.342) Loss: 1.2869 (1.0164) Acc@1: 60.5769 (65.7258)Acc@5: 98.0769 (98.3871) +2024-12-26 15:01:10,606 - train: [ INFO] - Train: 90 [ 0/52 ( 0%)] Loss: 0.458390 (0.4584) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.828s, 45.26/s (2.828s, 45.26/s) LR: 2.505e-05 Data: 2.406 (2.406) +2024-12-26 15:01:30,116 - train: [ INFO] - Train: 90 [ 50/52 ( 98%)] Loss: 0.496149 (0.4773) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.60/s (0.437s, 292.69/s) LR: 2.505e-05 Data: 0.000 (0.048) +2024-12-26 15:01:30,501 - train: [ INFO] - Train: 90 [ 51/52 (100%)] Loss: 0.539405 (0.4980) Acc@1: 95.3125 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.39/s (0.436s, 293.41/s) LR: 2.505e-05 Data: 0.001 (0.047) +2024-12-26 15:01:32,495 - train: [ INFO] - Eval : 90 Time: 1.793 (1.793) Loss: 1.0305 (1.0305) Acc@1: 66.4062 (66.4062)Acc@5: 98.4375 (98.4375) +2024-12-26 15:01:33,214 - train: [ INFO] - Eval : 90 Time: 0.120 (0.419) Loss: 1.4919 (1.0690) Acc@1: 55.7692 (63.3065)Acc@5: 97.1154 (98.3871) +2024-12-26 15:01:37,445 - train: [ INFO] - Train: 91 [ 0/52 ( 0%)] Loss: 0.471787 (0.4718) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.418s, 37.45/s (3.418s, 37.45/s) LR: 2.221e-05 Data: 2.976 (2.976) +2024-12-26 15:01:57,002 - train: [ INFO] - Train: 91 [ 50/52 ( 98%)] Loss: 0.468051 (0.4699) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.06/s (0.449s, 284.80/s) LR: 2.221e-05 Data: 0.000 (0.059) +2024-12-26 15:01:57,395 - train: [ INFO] - Train: 91 [ 51/52 (100%)] Loss: 0.490765 (0.4769) Acc@1: 97.6562 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.389s, 328.65/s (0.448s, 285.53/s) LR: 2.221e-05 Data: 0.000 (0.058) +2024-12-26 15:01:58,662 - train: [ INFO] - Eval : 91 Time: 1.118 (1.118) Loss: 0.9987 (0.9987) Acc@1: 64.0625 (64.0625)Acc@5: 97.6562 (97.6562) +2024-12-26 15:01:59,395 - train: [ INFO] - Eval : 91 Time: 0.124 (0.309) Loss: 1.1179 (1.0416) Acc@1: 59.6154 (64.2473)Acc@5: 98.0769 (97.9839) +2024-12-26 15:02:01,926 - train: [ INFO] - Train: 92 [ 0/52 ( 0%)] Loss: 0.462790 (0.4628) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.741s, 73.51/s (1.741s, 73.51/s) LR: 1.966e-05 Data: 1.303 (1.303) +2024-12-26 15:02:21,712 - train: [ INFO] - Train: 92 [ 50/52 ( 98%)] Loss: 0.482649 (0.4727) Acc@1: 97.6562 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.390s, 328.06/s (0.421s, 304.05/s) LR: 1.966e-05 Data: 0.000 (0.027) +2024-12-26 15:02:22,108 - train: [ INFO] - Train: 92 [ 51/52 (100%)] Loss: 0.479115 (0.4749) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.394s, 325.21/s (0.420s, 304.43/s) LR: 1.966e-05 Data: 0.000 (0.026) +2024-12-26 15:02:23,590 - train: [ INFO] - Eval : 92 Time: 1.293 (1.293) Loss: 1.0928 (1.0928) Acc@1: 64.8438 (64.8438)Acc@5: 96.8750 (96.8750) +2024-12-26 15:02:24,325 - train: [ INFO] - Eval : 92 Time: 0.133 (0.338) Loss: 1.1220 (1.0957) Acc@1: 63.4615 (63.4409)Acc@5: 99.0385 (97.5806) +2024-12-26 15:02:27,031 - train: [ INFO] - Train: 93 [ 0/52 ( 0%)] Loss: 0.501081 (0.5011) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.525s, 83.91/s (1.525s, 83.91/s) LR: 1.741e-05 Data: 1.080 (1.080) +2024-12-26 15:02:46,595 - train: [ INFO] - Train: 93 [ 50/52 ( 98%)] Loss: 0.480467 (0.4908) Acc@1: 98.4375 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.45/s (0.412s, 310.34/s) LR: 1.741e-05 Data: 0.000 (0.022) +2024-12-26 15:02:46,994 - train: [ INFO] - Train: 93 [ 51/52 (100%)] Loss: 0.458204 (0.4799) Acc@1: 100.0000 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.389s, 329.13/s (0.412s, 310.68/s) LR: 1.741e-05 Data: 0.000 (0.022) +2024-12-26 15:02:48,341 - train: [ INFO] - Eval : 93 Time: 1.186 (1.186) Loss: 1.0606 (1.0606) Acc@1: 65.6250 (65.6250)Acc@5: 97.6562 (97.6562) +2024-12-26 15:02:49,076 - train: [ INFO] - Eval : 93 Time: 0.136 (0.320) Loss: 1.0443 (1.0055) Acc@1: 67.3077 (65.1882)Acc@5: 96.1538 (98.5215) +2024-12-26 15:02:51,536 - train: [ INFO] - Train: 94 [ 0/52 ( 0%)] Loss: 0.473045 (0.4730) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.644s, 77.88/s (1.644s, 77.88/s) LR: 1.545e-05 Data: 1.227 (1.227) +2024-12-26 15:03:10,964 - train: [ INFO] - Train: 94 [ 50/52 ( 98%)] Loss: 0.500555 (0.4868) Acc@1: 95.3125 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.389s, 329.23/s (0.412s, 310.32/s) LR: 1.545e-05 Data: 0.001 (0.025) +2024-12-26 15:03:11,354 - train: [ INFO] - Train: 94 [ 51/52 (100%)] Loss: 0.508275 (0.4940) Acc@1: 97.6562 (97.3958) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.79/s (0.412s, 310.70/s) LR: 1.545e-05 Data: 0.000 (0.025) +2024-12-26 15:03:12,792 - train: [ INFO] - Eval : 94 Time: 1.246 (1.246) Loss: 0.9521 (0.9521) Acc@1: 60.1562 (60.1562)Acc@5: 100.0000 (100.0000) +2024-12-26 15:03:13,522 - train: [ INFO] - Eval : 94 Time: 0.136 (0.329) Loss: 0.9616 (1.0351) Acc@1: 69.2308 (63.4409)Acc@5: 96.1538 (98.7903) +2024-12-26 15:03:15,845 - train: [ INFO] - Train: 95 [ 0/52 ( 0%)] Loss: 0.450478 (0.4505) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.531s, 83.59/s (1.531s, 83.59/s) LR: 1.379e-05 Data: 1.082 (1.082) +2024-12-26 15:03:35,220 - train: [ INFO] - Train: 95 [ 50/52 ( 98%)] Loss: 0.529258 (0.4899) Acc@1: 96.0938 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.387s, 330.79/s (0.409s, 312.88/s) LR: 1.379e-05 Data: 0.000 (0.022) +2024-12-26 15:03:35,603 - train: [ INFO] - Train: 95 [ 51/52 (100%)] Loss: 0.490882 (0.4902) Acc@1: 98.4375 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.380s, 337.08/s (0.409s, 313.32/s) LR: 1.379e-05 Data: 0.000 (0.022) +2024-12-26 15:03:37,024 - train: [ INFO] - Eval : 95 Time: 1.270 (1.270) Loss: 1.0525 (1.0525) Acc@1: 61.7188 (61.7188)Acc@5: 96.8750 (96.8750) +2024-12-26 15:03:37,751 - train: [ INFO] - Eval : 95 Time: 0.145 (0.333) Loss: 0.9909 (1.0589) Acc@1: 67.3077 (63.5753)Acc@5: 100.0000 (98.5215) +2024-12-26 15:03:40,039 - train: [ INFO] - Train: 96 [ 0/52 ( 0%)] Loss: 0.461036 (0.4610) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.526s, 83.88/s (1.526s, 83.88/s) LR: 1.242e-05 Data: 1.094 (1.094) +2024-12-26 15:03:59,513 - train: [ INFO] - Train: 96 [ 50/52 ( 98%)] Loss: 0.465652 (0.4633) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.387s, 330.38/s (0.411s, 311.36/s) LR: 1.242e-05 Data: 0.000 (0.022) +2024-12-26 15:03:59,902 - train: [ INFO] - Train: 96 [ 51/52 (100%)] Loss: 0.455216 (0.4606) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.64/s (0.411s, 311.73/s) LR: 1.242e-05 Data: 0.000 (0.022) +2024-12-26 15:04:01,177 - train: [ INFO] - Eval : 96 Time: 1.130 (1.130) Loss: 1.1886 (1.1886) Acc@1: 60.9375 (60.9375)Acc@5: 97.6562 (97.6562) +2024-12-26 15:04:01,942 - train: [ INFO] - Eval : 96 Time: 0.150 (0.316) Loss: 1.0731 (1.0479) Acc@1: 62.5000 (64.1129)Acc@5: 97.1154 (97.8495) +2024-12-26 15:04:04,231 - train: [ INFO] - Train: 97 [ 0/52 ( 0%)] Loss: 0.487961 (0.4880) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.458s, 87.81/s (1.458s, 87.81/s) LR: 1.136e-05 Data: 1.041 (1.041) +2024-12-26 15:04:23,804 - train: [ INFO] - Train: 97 [ 50/52 ( 98%)] Loss: 0.474645 (0.4813) Acc@1: 99.2188 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.390s, 327.84/s (0.412s, 310.89/s) LR: 1.136e-05 Data: 0.000 (0.021) +2024-12-26 15:04:24,205 - train: [ INFO] - Train: 97 [ 51/52 (100%)] Loss: 0.452437 (0.4717) Acc@1: 100.0000 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.81/s (0.411s, 311.09/s) LR: 1.136e-05 Data: 0.000 (0.021) +2024-12-26 15:04:25,735 - train: [ INFO] - Eval : 97 Time: 1.360 (1.360) Loss: 1.0908 (1.0908) Acc@1: 63.2812 (63.2812)Acc@5: 97.6562 (97.6562) +2024-12-26 15:04:26,480 - train: [ INFO] - Eval : 97 Time: 0.163 (0.351) Loss: 1.0050 (1.0187) Acc@1: 67.3077 (65.4570)Acc@5: 99.0385 (98.1183) +2024-12-26 15:04:28,720 - train: [ INFO] - Train: 98 [ 0/52 ( 0%)] Loss: 0.477361 (0.4774) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.457s, 87.85/s (1.457s, 87.85/s) LR: 1.061e-05 Data: 1.016 (1.016) +2024-12-26 15:04:48,342 - train: [ INFO] - Train: 98 [ 50/52 ( 98%)] Loss: 0.467922 (0.4726) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.17/s (0.413s, 310.17/s) LR: 1.061e-05 Data: 0.000 (0.021) +2024-12-26 15:04:48,731 - train: [ INFO] - Train: 98 [ 51/52 (100%)] Loss: 0.457435 (0.4676) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.52/s (0.412s, 310.56/s) LR: 1.061e-05 Data: 0.000 (0.020) +2024-12-26 15:04:50,156 - train: [ INFO] - Eval : 98 Time: 1.238 (1.238) Loss: 1.1003 (1.1003) Acc@1: 62.5000 (62.5000)Acc@5: 97.6562 (97.6562) +2024-12-26 15:04:50,879 - train: [ INFO] - Eval : 98 Time: 0.135 (0.327) Loss: 1.1055 (1.0593) Acc@1: 66.3462 (64.6505)Acc@5: 98.0769 (97.3118) +2024-12-26 15:04:53,092 - train: [ INFO] - Train: 99 [ 0/52 ( 0%)] Loss: 0.468371 (0.4684) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.406s, 91.01/s (1.406s, 91.01/s) LR: 1.015e-05 Data: 0.980 (0.980) +2024-12-26 15:05:12,759 - train: [ INFO] - Train: 99 [ 50/52 ( 98%)] Loss: 0.470737 (0.4696) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.383s, 333.85/s (0.413s, 310.22/s) LR: 1.015e-05 Data: 0.000 (0.020) +2024-12-26 15:05:13,141 - train: [ INFO] - Train: 99 [ 51/52 (100%)] Loss: 0.491501 (0.4769) Acc@1: 96.8750 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.380s, 337.03/s (0.412s, 310.70/s) LR: 1.015e-05 Data: 0.000 (0.020) +2024-12-26 15:05:14,919 - train: [ INFO] - Eval : 99 Time: 1.560 (1.560) Loss: 1.0223 (1.0223) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 15:05:15,640 - train: [ INFO] - Eval : 99 Time: 0.135 (0.380) Loss: 1.1085 (1.0256) Acc@1: 65.3846 (64.5161)Acc@5: 98.0769 (98.1183) +2024-12-26 15:05:16,457 - train: [ INFO] - *** Best metric: 66.53225880284464 (epoch 85) diff --git a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SCA-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..9351ccbe310e0ca5f67eff260d4db07c367b7020 --- /dev/null +++ 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false +adaptive_node: false +alpha: 1.5 +amp: false +apex_amp: false +attn_method: Spatial +aug_splits: 0 +batch_size: 128 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +contrastive: false +conv_type: normal +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cross_attn: true +cut_mix: false +cutmix: 0.0 +cutmix_beta: 2.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +dataset: CREMAD +decay_epochs: 30 +decay_rate: 0.1 +device: 0 +dist_bn: '' +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +embed_dims: 256 +encode: direct +epochs: 100 +eval: false +eval_checkpoint: '' +eval_metric: top1 +event_mix: false +event_size: 48 +gaussian_n: 3 +gp: null +hflip: 0.5 +img_size: 224 +initial_checkpoint: '' +interaction: Add +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: false +load_avmodel: false +local_rank: 0 +log_interval: 50 +loss_fn: ce +lr: 0.005 +lr_cycle_limit: 1 +lr_cycle_mul: 1.0 +lr_noise: null +lr_noise_pct: 0.67 +lr_noise_std: 1.0 +mean: null +mem_dist: false +min_lr: 1.0e-05 +mix_up: false +mixup: 0.0 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 0.0 +mixup_switch_prob: 0.5 +modality: audio-visual +model: AVspikformer +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_encode_type: linear +n_groups: 1 +n_preact: false +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +node_resume: '' +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 6 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: ./exp_results +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +rand_step: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 42 +sew_cnf: ADD +shallow_sps: false +sigmoid_thres: false +smoothing: 0.1 +snr: -100 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 4 +suffix: '' +sync_bn: false +tau: 2.0 +temperature: 0.1 +temporal_flatten: false +tensorboard_dir: ./exp_results +tet_loss: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.9 +tsne: false +tta: 0 +use_multi_epochs_loader: false +validation_batch_size_multiplier: 1 +vflip: 0.0 +visualize: false +warmup_epochs: 5 +warmup_lr: 1.0e-06 +weight_decay: 0.0001 +workers: 8 diff --git a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-90.pth.tar 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b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/events.out.tfevents.1735226013.452e941c3358.220501.0 new file mode 100644 index 0000000000000000000000000000000000000000..ffff8fb7abf4a943cfe323e4474d59e36aedb7d0 --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/events.out.tfevents.1735226013.452e941c3358.220501.0 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:997a8169912e1b2dc6d525b2e0cfd72d531d773b53b44ace4df8d4227df2fdf3 +size 1344496 diff --git a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/last.pth.tar b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/last.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..be972f6762536b1fcd9bc044d7b6927c9340f509 --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/last.pth.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:13f96322df09391de67ab3a26af75b64bd0cb19594c570d85200f00048a2c6bb +size 42821305 diff --git a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/log.txt b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..41fafcb064e4608eb3d78f0fbecd58e536576bf6 --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/log.txt @@ -0,0 +1,557 @@ +2024-12-26 15:13:33,966 - train: [ INFO] - Training with a single process on 1 GPUs. +2024-12-26 15:13:36,533 - train: [ INFO] - learning rate is 0.000625 +2024-12-26 15:13:38,923 - train: [ INFO] - AMP not enabled. Training in float32. +2024-12-26 15:13:38,938 - train: [ INFO] - Scheduled epochs: 110 +2024-12-26 15:13:43,799 - train: [ INFO] - Train: 0 [ 0/52 ( 0%)] Loss: 1.809585 (1.8096) Acc@1: 14.8438 (14.8438) Acc@5: 83.5938 (83.5938) Time: 4.841s, 26.44/s (4.841s, 26.44/s) LR: 1.000e-06 Data: 1.350 (1.350) +2024-12-26 15:14:02,833 - train: [ INFO] - Train: 0 [ 50/52 ( 98%)] Loss: 1.804535 (1.8071) Acc@1: 14.8438 (14.8438) Acc@5: 85.1562 (84.3750) Time: 0.382s, 335.35/s (0.467s, 273.91/s) LR: 1.000e-06 Data: 0.001 (0.027) +2024-12-26 15:14:03,211 - train: [ INFO] - Train: 0 [ 51/52 (100%)] Loss: 1.791453 (1.8019) Acc@1: 22.6562 (17.4479) Acc@5: 84.3750 (84.3750) Time: 0.373s, 342.85/s (0.466s, 274.97/s) LR: 1.000e-06 Data: 0.000 (0.027) +2024-12-26 15:14:05,742 - train: [ INFO] - Eval : 0 Time: 2.412 (2.412) Loss: 1.7934 (1.7934) Acc@1: 21.8750 (21.8750)Acc@5: 80.4688 (80.4688) +2024-12-26 15:14:06,449 - train: [ INFO] - Eval : 0 Time: 0.110 (0.520) Loss: 1.7951 (1.7939) Acc@1: 18.2692 (17.3387)Acc@5: 85.5769 (84.0054) +2024-12-26 15:14:07,645 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-0.pth.tar', 17.33870982098323) + +2024-12-26 15:14:09,188 - train: [ INFO] - Train: 1 [ 0/52 ( 0%)] Loss: 1.808679 (1.8087) Acc@1: 14.0625 (14.0625) Acc@5: 85.9375 (85.9375) Time: 1.538s, 83.21/s (1.538s, 83.21/s) LR: 1.258e-04 Data: 1.095 (1.095) +2024-12-26 15:14:28,295 - train: [ INFO] - Train: 1 [ 50/52 ( 98%)] Loss: 1.554294 (1.6815) Acc@1: 41.4062 (27.7344) Acc@5: 99.2188 (92.5781) Time: 0.379s, 337.32/s (0.404s, 317.00/s) LR: 1.258e-04 Data: 0.000 (0.022) +2024-12-26 15:14:28,702 - train: [ INFO] - Train: 1 [ 51/52 (100%)] Loss: 1.534884 (1.6326) Acc@1: 37.5000 (30.9896) Acc@5: 98.4375 (94.5312) Time: 0.376s, 340.07/s (0.403s, 317.42/s) LR: 1.258e-04 Data: 0.000 (0.022) +2024-12-26 15:14:31,621 - train: [ INFO] - Eval : 1 Time: 2.614 (2.614) Loss: 1.5798 (1.5798) Acc@1: 32.8125 (32.8125)Acc@5: 96.8750 (96.8750) +2024-12-26 15:14:32,377 - train: [ INFO] - Eval : 1 Time: 0.129 (0.562) Loss: 1.6579 (1.5492) Acc@1: 27.8846 (34.1398)Acc@5: 96.1538 (97.0430) +2024-12-26 15:14:33,498 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-1.pth.tar', 34.13978515132781) + +2024-12-26 15:14:36,844 - train: [ INFO] - Train: 2 [ 0/52 ( 0%)] Loss: 1.547734 (1.5477) Acc@1: 39.8438 (39.8438) Acc@5: 98.4375 (98.4375) Time: 3.263s, 39.23/s (3.263s, 39.23/s) LR: 2.506e-04 Data: 2.788 (2.788) +2024-12-26 15:14:56,044 - train: [ INFO] - Train: 2 [ 50/52 ( 98%)] Loss: 1.400095 (1.4739) Acc@1: 52.3438 (46.0938) Acc@5: 99.2188 (98.8281) Time: 0.379s, 337.51/s (0.440s, 291.19/s) LR: 2.506e-04 Data: 0.000 (0.056) +2024-12-26 15:14:56,437 - train: [ INFO] - Train: 2 [ 51/52 (100%)] Loss: 1.478925 (1.4756) Acc@1: 41.4062 (44.5312) Acc@5: 100.0000 (99.2188) Time: 0.379s, 337.47/s (0.438s, 291.96/s) LR: 2.506e-04 Data: 0.000 (0.055) +2024-12-26 15:14:59,763 - train: [ INFO] - Eval : 2 Time: 3.097 (3.097) Loss: 2.1796 (2.1796) Acc@1: 21.8750 (21.8750)Acc@5: 85.1562 (85.1562) +2024-12-26 15:15:00,494 - train: [ INFO] - Eval : 2 Time: 0.132 (0.638) Loss: 2.3823 (2.2654) Acc@1: 15.3846 (19.8925)Acc@5: 86.5385 (86.4247) +2024-12-26 15:15:04,473 - train: [ INFO] - Train: 3 [ 0/52 ( 0%)] Loss: 1.460284 (1.4603) Acc@1: 46.8750 (46.8750) Acc@5: 98.4375 (98.4375) Time: 3.274s, 39.09/s (3.274s, 39.09/s) LR: 3.754e-04 Data: 2.806 (2.806) +2024-12-26 15:15:23,721 - train: [ INFO] - Train: 3 [ 50/52 ( 98%)] Loss: 1.332296 (1.3963) Acc@1: 56.2500 (51.5625) Acc@5: 100.0000 (99.2188) Time: 0.386s, 331.35/s (0.441s, 290.41/s) LR: 3.754e-04 Data: 0.000 (0.056) +2024-12-26 15:15:24,101 - train: [ INFO] - Train: 3 [ 51/52 (100%)] Loss: 1.326378 (1.3730) Acc@1: 51.5625 (51.5625) Acc@5: 98.4375 (98.9583) Time: 0.377s, 339.08/s (0.440s, 291.21/s) LR: 3.754e-04 Data: 0.000 (0.055) +2024-12-26 15:15:25,726 - train: [ INFO] - Eval : 3 Time: 1.423 (1.423) Loss: 1.5079 (1.5079) Acc@1: 39.0625 (39.0625)Acc@5: 97.6562 (97.6562) +2024-12-26 15:15:26,513 - train: [ INFO] - Eval : 3 Time: 0.131 (0.368) Loss: 1.7970 (1.6037) Acc@1: 27.8846 (36.9624)Acc@5: 98.0769 (97.3118) +2024-12-26 15:15:29,810 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-3.pth.tar', 36.9623657964891) + +2024-12-26 15:15:32,943 - train: [ INFO] - Train: 4 [ 0/52 ( 0%)] Loss: 1.508132 (1.5081) Acc@1: 39.8438 (39.8438) Acc@5: 97.6562 (97.6562) Time: 3.021s, 42.37/s (3.021s, 42.37/s) LR: 5.002e-04 Data: 2.536 (2.536) +2024-12-26 15:15:52,157 - train: [ INFO] - Train: 4 [ 50/52 ( 98%)] Loss: 1.394642 (1.4514) Acc@1: 50.0000 (44.9219) Acc@5: 99.2188 (98.4375) Time: 0.388s, 329.87/s (0.435s, 294.09/s) LR: 5.002e-04 Data: 0.001 (0.051) +2024-12-26 15:15:52,556 - train: [ INFO] - Train: 4 [ 51/52 (100%)] Loss: 1.457295 (1.4534) Acc@1: 47.6562 (45.8333) Acc@5: 96.0938 (97.6562) Time: 0.396s, 323.12/s (0.434s, 294.60/s) LR: 5.002e-04 Data: 0.000 (0.050) +2024-12-26 15:15:54,197 - train: [ INFO] - Eval : 4 Time: 1.362 (1.362) Loss: 1.5939 (1.5939) Acc@1: 33.5938 (33.5938)Acc@5: 98.4375 (98.4375) +2024-12-26 15:15:54,885 - train: [ INFO] - Eval : 4 Time: 0.134 (0.342) Loss: 1.6263 (1.6767) Acc@1: 39.4231 (33.6022)Acc@5: 100.0000 (98.1183) +2024-12-26 15:15:59,715 - train: [ INFO] - Train: 5 [ 0/52 ( 0%)] Loss: 1.354511 (1.3545) Acc@1: 53.9062 (53.9062) Acc@5: 97.6562 (97.6562) Time: 4.052s, 31.59/s (4.052s, 31.59/s) LR: 6.212e-04 Data: 3.625 (3.625) +2024-12-26 15:16:19,015 - train: [ INFO] - Train: 5 [ 50/52 ( 98%)] Loss: 1.398310 (1.3764) Acc@1: 49.2188 (51.5625) Acc@5: 97.6562 (97.6562) Time: 0.398s, 321.28/s (0.457s, 280.19/s) LR: 6.212e-04 Data: 0.000 (0.072) +2024-12-26 15:16:19,397 - train: [ INFO] - Train: 5 [ 51/52 (100%)] Loss: 1.327304 (1.3600) Acc@1: 53.1250 (52.0833) Acc@5: 100.0000 (98.4375) Time: 0.379s, 337.70/s (0.455s, 281.11/s) LR: 6.212e-04 Data: 0.000 (0.071) +2024-12-26 15:16:20,889 - train: [ INFO] - Eval : 5 Time: 1.269 (1.269) Loss: 1.3915 (1.3915) Acc@1: 42.9688 (42.9688)Acc@5: 98.4375 (98.4375) +2024-12-26 15:16:21,605 - train: [ INFO] - Eval : 5 Time: 0.139 (0.331) Loss: 1.1908 (1.3562) Acc@1: 55.7692 (44.8925)Acc@5: 99.0385 (98.7903) +2024-12-26 15:16:22,295 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-5.pth.tar', 44.89247352846207) + +2024-12-26 15:16:23,815 - train: [ INFO] - Train: 6 [ 0/52 ( 0%)] Loss: 1.344515 (1.3445) Acc@1: 51.5625 (51.5625) Acc@5: 99.2188 (99.2188) Time: 1.507s, 84.92/s (1.507s, 84.92/s) LR: 6.196e-04 Data: 1.057 (1.057) +2024-12-26 15:16:43,062 - train: [ INFO] - Train: 6 [ 50/52 ( 98%)] Loss: 1.299497 (1.3220) Acc@1: 56.2500 (53.9062) Acc@5: 99.2188 (99.2188) Time: 0.375s, 341.30/s (0.406s, 315.11/s) LR: 6.196e-04 Data: 0.000 (0.022) +2024-12-26 15:16:43,438 - train: [ INFO] - Train: 6 [ 51/52 (100%)] Loss: 1.345613 (1.3299) Acc@1: 48.4375 (52.0833) Acc@5: 99.2188 (99.2188) Time: 0.373s, 343.28/s (0.406s, 315.61/s) LR: 6.196e-04 Data: 0.000 (0.021) +2024-12-26 15:16:44,975 - train: [ INFO] - Eval : 6 Time: 1.308 (1.308) Loss: 1.4325 (1.4325) Acc@1: 51.5625 (51.5625)Acc@5: 92.1875 (92.1875) +2024-12-26 15:16:45,732 - train: [ INFO] - Eval : 6 Time: 0.130 (0.344) Loss: 1.8227 (1.5726) Acc@1: 42.3077 (48.5215)Acc@5: 89.4231 (92.6075) +2024-12-26 15:16:46,487 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-6.pth.tar', 48.52150554041709) + +2024-12-26 15:16:48,040 - train: [ INFO] - Train: 7 [ 0/52 ( 0%)] Loss: 1.290247 (1.2902) Acc@1: 55.4688 (55.4688) Acc@5: 100.0000 (100.0000) Time: 1.542s, 83.03/s (1.542s, 83.03/s) LR: 6.176e-04 Data: 1.076 (1.076) +2024-12-26 15:17:07,405 - train: [ INFO] - Train: 7 [ 50/52 ( 98%)] Loss: 1.250725 (1.2705) Acc@1: 58.5938 (57.0312) Acc@5: 100.0000 (100.0000) Time: 0.381s, 336.36/s (0.409s, 313.30/s) LR: 6.176e-04 Data: 0.000 (0.023) +2024-12-26 15:17:07,788 - train: [ INFO] - Train: 7 [ 51/52 (100%)] Loss: 1.333380 (1.2915) Acc@1: 53.1250 (55.7292) Acc@5: 97.6562 (99.2188) Time: 0.380s, 336.74/s (0.408s, 313.72/s) LR: 6.176e-04 Data: 0.000 (0.022) +2024-12-26 15:17:09,428 - train: [ INFO] - Eval : 7 Time: 1.436 (1.436) Loss: 1.2023 (1.2023) Acc@1: 55.4688 (55.4688)Acc@5: 100.0000 (100.0000) +2024-12-26 15:17:10,210 - train: [ INFO] - Eval : 7 Time: 0.131 (0.368) Loss: 1.2198 (1.3042) Acc@1: 62.5000 (51.7473)Acc@5: 98.0769 (99.0591) +2024-12-26 15:17:10,923 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-7.pth.tar', 51.74731236119424) + +2024-12-26 15:17:12,666 - train: [ INFO] - Train: 8 [ 0/52 ( 0%)] Loss: 1.261485 (1.2615) Acc@1: 56.2500 (56.2500) Acc@5: 99.2188 (99.2188) Time: 1.731s, 73.96/s (1.731s, 73.96/s) LR: 6.153e-04 Data: 1.282 (1.282) +2024-12-26 15:17:31,896 - train: [ INFO] - Train: 8 [ 50/52 ( 98%)] Loss: 1.362350 (1.3119) Acc@1: 52.3438 (54.2969) Acc@5: 98.4375 (98.8281) Time: 0.375s, 341.00/s (0.410s, 312.24/s) LR: 6.153e-04 Data: 0.000 (0.026) +2024-12-26 15:17:32,282 - train: [ INFO] - Train: 8 [ 51/52 (100%)] Loss: 1.162905 (1.2622) Acc@1: 63.2812 (57.2917) Acc@5: 100.0000 (99.2188) Time: 0.383s, 334.41/s (0.409s, 312.64/s) LR: 6.153e-04 Data: 0.000 (0.026) +2024-12-26 15:17:33,801 - train: [ INFO] - Eval : 8 Time: 1.330 (1.330) Loss: 1.4178 (1.4178) Acc@1: 42.9688 (42.9688)Acc@5: 99.2188 (99.2188) +2024-12-26 15:17:34,505 - train: [ INFO] - Eval : 8 Time: 0.134 (0.339) Loss: 1.3490 (1.4233) Acc@1: 42.3077 (42.7419)Acc@5: 99.0385 (98.2527) +2024-12-26 15:17:37,087 - train: [ INFO] - Train: 9 [ 0/52 ( 0%)] Loss: 1.231533 (1.2315) Acc@1: 57.8125 (57.8125) Acc@5: 100.0000 (100.0000) Time: 1.885s, 67.89/s (1.885s, 67.89/s) LR: 6.128e-04 Data: 1.450 (1.450) +2024-12-26 15:17:56,361 - train: [ INFO] - Train: 9 [ 50/52 ( 98%)] Loss: 1.164300 (1.1979) Acc@1: 62.5000 (60.1562) Acc@5: 98.4375 (99.2188) Time: 0.381s, 335.76/s (0.413s, 309.58/s) LR: 6.128e-04 Data: 0.000 (0.030) +2024-12-26 15:17:56,744 - train: [ INFO] - Train: 9 [ 51/52 (100%)] Loss: 1.269570 (1.2218) Acc@1: 53.9062 (58.0729) Acc@5: 100.0000 (99.4792) Time: 0.379s, 337.76/s (0.413s, 310.07/s) LR: 6.128e-04 Data: 0.000 (0.029) +2024-12-26 15:17:58,307 - train: [ INFO] - Eval : 9 Time: 1.297 (1.297) Loss: 1.2228 (1.2228) Acc@1: 55.4688 (55.4688)Acc@5: 99.2188 (99.2188) +2024-12-26 15:17:59,021 - train: [ INFO] - Eval : 9 Time: 0.139 (0.334) Loss: 1.3098 (1.3268) Acc@1: 50.0000 (51.4785)Acc@5: 98.0769 (97.8495) +2024-12-26 15:18:01,323 - train: [ INFO] - Train: 10 [ 0/52 ( 0%)] Loss: 1.237935 (1.2379) Acc@1: 59.3750 (59.3750) Acc@5: 98.4375 (98.4375) Time: 1.649s, 77.64/s (1.649s, 77.64/s) LR: 6.099e-04 Data: 1.213 (1.213) +2024-12-26 15:18:20,679 - train: [ INFO] - Train: 10 [ 50/52 ( 98%)] Loss: 1.097375 (1.1677) Acc@1: 71.0938 (65.2344) Acc@5: 100.0000 (99.2188) Time: 0.375s, 341.04/s (0.411s, 311.67/s) LR: 6.099e-04 Data: 0.000 (0.025) +2024-12-26 15:18:21,220 - train: [ INFO] - Train: 10 [ 51/52 (100%)] Loss: 1.211740 (1.1824) Acc@1: 61.7188 (64.0625) Acc@5: 97.6562 (98.6979) Time: 0.389s, 328.84/s (0.410s, 311.99/s) LR: 6.099e-04 Data: 0.000 (0.025) +2024-12-26 15:18:23,743 - train: [ INFO] - Eval : 10 Time: 2.171 (2.171) Loss: 1.2229 (1.2229) Acc@1: 54.6875 (54.6875)Acc@5: 100.0000 (100.0000) +2024-12-26 15:18:24,452 - train: [ INFO] - Eval : 10 Time: 0.149 (0.480) Loss: 1.2347 (1.1705) Acc@1: 53.8462 (54.8387)Acc@5: 100.0000 (99.3280) +2024-12-26 15:18:25,195 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-10.pth.tar', 54.83871012862011) + +2024-12-26 15:18:26,844 - train: [ INFO] - Train: 11 [ 0/52 ( 0%)] Loss: 1.169961 (1.1700) Acc@1: 57.8125 (57.8125) Acc@5: 99.2188 (99.2188) Time: 1.636s, 78.26/s (1.636s, 78.26/s) LR: 6.068e-04 Data: 1.194 (1.194) +2024-12-26 15:18:46,256 - train: [ INFO] - Train: 11 [ 50/52 ( 98%)] Loss: 1.059710 (1.1148) Acc@1: 67.1875 (62.5000) Acc@5: 100.0000 (99.6094) Time: 0.376s, 340.66/s (0.412s, 310.68/s) LR: 6.068e-04 Data: 0.000 (0.024) +2024-12-26 15:18:46,636 - train: [ INFO] - Train: 11 [ 51/52 (100%)] Loss: 1.181891 (1.1372) Acc@1: 64.0625 (63.0208) Acc@5: 99.2188 (99.4792) Time: 0.377s, 339.42/s (0.411s, 311.19/s) LR: 6.068e-04 Data: 0.000 (0.024) +2024-12-26 15:18:48,435 - train: [ INFO] - Eval : 11 Time: 1.549 (1.549) Loss: 1.7641 (1.7641) Acc@1: 42.1875 (42.1875)Acc@5: 95.3125 (95.3125) +2024-12-26 15:18:49,205 - train: [ INFO] - Eval : 11 Time: 0.158 (0.387) Loss: 1.8160 (1.7282) Acc@1: 43.2692 (43.2796)Acc@5: 96.1538 (95.6989) +2024-12-26 15:18:53,753 - train: [ INFO] - Train: 12 [ 0/52 ( 0%)] Loss: 1.124089 (1.1241) Acc@1: 67.9688 (67.9688) Acc@5: 100.0000 (100.0000) Time: 2.053s, 62.33/s (2.053s, 62.33/s) LR: 6.034e-04 Data: 1.604 (1.604) +2024-12-26 15:19:13,048 - train: [ INFO] - Train: 12 [ 50/52 ( 98%)] Loss: 1.129547 (1.1268) Acc@1: 61.7188 (64.8438) Acc@5: 100.0000 (100.0000) Time: 0.397s, 322.59/s (0.418s, 306.33/s) LR: 6.034e-04 Data: 0.000 (0.033) +2024-12-26 15:19:13,444 - train: [ INFO] - Train: 12 [ 51/52 (100%)] Loss: 1.154089 (1.1359) Acc@1: 66.4062 (65.3646) Acc@5: 98.4375 (99.4792) Time: 0.387s, 330.99/s (0.417s, 306.77/s) LR: 6.034e-04 Data: 0.000 (0.032) +2024-12-26 15:19:15,043 - train: [ INFO] - Eval : 12 Time: 1.345 (1.345) Loss: 1.4028 (1.4028) Acc@1: 46.8750 (46.8750)Acc@5: 98.4375 (98.4375) +2024-12-26 15:19:15,736 - train: [ INFO] - Eval : 12 Time: 0.133 (0.340) Loss: 1.5119 (1.4129) Acc@1: 52.8846 (49.5968)Acc@5: 97.1154 (97.8495) +2024-12-26 15:19:18,375 - train: [ INFO] - Train: 13 [ 0/52 ( 0%)] Loss: 0.970825 (0.9708) Acc@1: 75.7812 (75.7812) Acc@5: 99.2188 (99.2188) Time: 1.967s, 65.07/s (1.967s, 65.07/s) LR: 5.997e-04 Data: 1.526 (1.526) +2024-12-26 15:19:37,864 - train: [ INFO] - Train: 13 [ 50/52 ( 98%)] Loss: 0.995942 (0.9834) Acc@1: 75.0000 (75.3906) Acc@5: 100.0000 (99.6094) Time: 0.382s, 334.97/s (0.418s, 306.02/s) LR: 5.997e-04 Data: 0.000 (0.031) +2024-12-26 15:19:38,254 - train: [ INFO] - Train: 13 [ 51/52 (100%)] Loss: 1.049013 (1.0053) Acc@1: 67.1875 (72.6562) Acc@5: 100.0000 (99.7396) Time: 0.386s, 331.63/s (0.418s, 306.47/s) LR: 5.997e-04 Data: 0.000 (0.031) +2024-12-26 15:19:39,971 - train: [ INFO] - Eval : 13 Time: 1.480 (1.480) Loss: 1.5168 (1.5168) Acc@1: 42.1875 (42.1875)Acc@5: 97.6562 (97.6562) +2024-12-26 15:19:40,703 - train: [ INFO] - Eval : 13 Time: 0.144 (0.369) Loss: 1.4959 (1.4764) Acc@1: 45.1923 (42.4731)Acc@5: 97.1154 (98.6559) +2024-12-26 15:19:42,928 - train: [ INFO] - Train: 14 [ 0/52 ( 0%)] Loss: 1.039644 (1.0396) Acc@1: 75.0000 (75.0000) Acc@5: 99.2188 (99.2188) Time: 1.538s, 83.24/s (1.538s, 83.24/s) LR: 5.957e-04 Data: 1.100 (1.100) +2024-12-26 15:20:02,088 - train: [ INFO] - Train: 14 [ 50/52 ( 98%)] Loss: 0.947787 (0.9937) Acc@1: 77.3438 (76.1719) Acc@5: 100.0000 (99.6094) Time: 0.375s, 341.53/s (0.405s, 316.34/s) LR: 5.957e-04 Data: 0.000 (0.023) +2024-12-26 15:20:02,465 - train: [ INFO] - Train: 14 [ 51/52 (100%)] Loss: 1.091457 (1.0263) Acc@1: 67.1875 (73.1771) Acc@5: 97.6562 (98.9583) Time: 0.373s, 343.43/s (0.404s, 316.83/s) LR: 5.957e-04 Data: 0.000 (0.022) +2024-12-26 15:20:04,108 - train: [ INFO] - Eval : 14 Time: 1.428 (1.428) Loss: 1.0624 (1.0624) Acc@1: 60.9375 (60.9375)Acc@5: 99.2188 (99.2188) +2024-12-26 15:20:04,832 - train: [ INFO] - Eval : 14 Time: 0.142 (0.359) Loss: 1.4199 (1.1945) Acc@1: 50.0000 (57.6613)Acc@5: 96.1538 (97.8495) +2024-12-26 15:20:05,549 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-14.pth.tar', 57.66129032258065) + +2024-12-26 15:20:07,109 - train: [ INFO] - Train: 15 [ 0/52 ( 0%)] Loss: 0.942933 (0.9429) Acc@1: 73.4375 (73.4375) Acc@5: 99.2188 (99.2188) Time: 1.542s, 83.02/s (1.542s, 83.02/s) LR: 5.915e-04 Data: 1.115 (1.115) +2024-12-26 15:20:26,328 - train: [ INFO] - Train: 15 [ 50/52 ( 98%)] Loss: 0.938663 (0.9408) Acc@1: 74.2188 (73.8281) Acc@5: 100.0000 (99.6094) Time: 0.380s, 336.71/s (0.406s, 314.94/s) LR: 5.915e-04 Data: 0.000 (0.023) +2024-12-26 15:20:26,705 - train: [ INFO] - Train: 15 [ 51/52 (100%)] Loss: 1.146211 (1.0093) Acc@1: 64.8438 (70.8333) Acc@5: 98.4375 (99.2188) Time: 0.374s, 341.81/s (0.406s, 315.41/s) LR: 5.915e-04 Data: 0.000 (0.022) +2024-12-26 15:20:28,481 - train: [ INFO] - Eval : 15 Time: 1.537 (1.537) Loss: 1.3484 (1.3484) Acc@1: 50.7812 (50.7812)Acc@5: 96.8750 (96.8750) +2024-12-26 15:20:29,167 - train: [ INFO] - Eval : 15 Time: 0.129 (0.371) Loss: 1.3233 (1.2806) Acc@1: 59.6154 (55.5108)Acc@5: 97.1154 (95.8333) +2024-12-26 15:20:31,346 - train: [ INFO] - Train: 16 [ 0/52 ( 0%)] Loss: 1.004714 (1.0047) Acc@1: 71.8750 (71.8750) Acc@5: 100.0000 (100.0000) Time: 1.470s, 87.08/s (1.470s, 87.08/s) LR: 5.870e-04 Data: 1.095 (1.095) +2024-12-26 15:20:50,667 - train: [ INFO] - Train: 16 [ 50/52 ( 98%)] Loss: 0.987909 (0.9963) Acc@1: 71.8750 (71.8750) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.72/s (0.406s, 314.90/s) LR: 5.870e-04 Data: 0.000 (0.023) +2024-12-26 15:20:51,046 - train: [ INFO] - Train: 16 [ 51/52 (100%)] Loss: 0.966523 (0.9864) Acc@1: 75.7812 (73.1771) Acc@5: 99.2188 (99.7396) Time: 0.376s, 340.30/s (0.406s, 315.35/s) LR: 5.870e-04 Data: 0.000 (0.022) +2024-12-26 15:20:53,241 - train: [ INFO] - Eval : 16 Time: 1.995 (1.995) Loss: 1.0791 (1.0791) Acc@1: 60.1562 (60.1562)Acc@5: 96.8750 (96.8750) +2024-12-26 15:20:53,956 - train: [ INFO] - Eval : 16 Time: 0.131 (0.452) Loss: 1.0805 (1.1972) Acc@1: 60.5769 (57.5269)Acc@5: 96.1538 (95.8333) +2024-12-26 15:20:56,874 - train: [ INFO] - Train: 17 [ 0/52 ( 0%)] Loss: 1.042873 (1.0429) Acc@1: 66.4062 (66.4062) Acc@5: 99.2188 (99.2188) Time: 2.247s, 56.96/s (2.247s, 56.96/s) LR: 5.822e-04 Data: 1.811 (1.811) +2024-12-26 15:21:16,174 - train: [ INFO] - Train: 17 [ 50/52 ( 98%)] Loss: 0.950400 (0.9966) Acc@1: 77.3438 (71.8750) Acc@5: 99.2188 (99.2188) Time: 0.391s, 327.78/s (0.422s, 303.46/s) LR: 5.822e-04 Data: 0.000 (0.037) +2024-12-26 15:21:16,561 - train: [ INFO] - Train: 17 [ 51/52 (100%)] Loss: 0.993839 (0.9957) Acc@1: 69.5312 (71.0938) Acc@5: 100.0000 (99.4792) Time: 0.382s, 334.70/s (0.421s, 304.00/s) LR: 5.822e-04 Data: 0.000 (0.036) +2024-12-26 15:21:19,268 - train: [ INFO] - Eval : 17 Time: 2.474 (2.474) Loss: 1.7991 (1.7991) Acc@1: 46.8750 (46.8750)Acc@5: 98.4375 (98.4375) +2024-12-26 15:21:19,981 - train: [ INFO] - Eval : 17 Time: 0.138 (0.531) Loss: 1.7098 (1.7617) Acc@1: 45.1923 (42.8763)Acc@5: 97.1154 (98.5215) +2024-12-26 15:21:23,478 - train: [ INFO] - Train: 18 [ 0/52 ( 0%)] Loss: 0.901957 (0.9020) Acc@1: 77.3438 (77.3438) Acc@5: 100.0000 (100.0000) Time: 2.755s, 46.46/s (2.755s, 46.46/s) LR: 5.771e-04 Data: 2.276 (2.276) +2024-12-26 15:21:42,716 - train: [ INFO] - Train: 18 [ 50/52 ( 98%)] Loss: 1.080665 (0.9913) Acc@1: 66.4062 (71.8750) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.10/s (0.430s, 297.35/s) LR: 5.771e-04 Data: 0.000 (0.046) +2024-12-26 15:21:43,145 - train: [ INFO] - Train: 18 [ 51/52 (100%)] Loss: 1.065456 (1.0160) Acc@1: 69.5312 (71.0938) Acc@5: 98.4375 (99.4792) Time: 0.426s, 300.72/s (0.430s, 297.41/s) LR: 5.771e-04 Data: 0.000 (0.045) +2024-12-26 15:21:45,604 - train: [ INFO] - Eval : 18 Time: 2.214 (2.214) Loss: 1.9186 (1.9186) Acc@1: 42.1875 (42.1875)Acc@5: 95.3125 (95.3125) +2024-12-26 15:21:46,327 - train: [ INFO] - Eval : 18 Time: 0.129 (0.490) Loss: 2.0530 (1.9455) Acc@1: 37.5000 (37.5000)Acc@5: 94.2308 (95.1613) +2024-12-26 15:21:49,582 - train: [ INFO] - Train: 19 [ 0/52 ( 0%)] Loss: 0.941948 (0.9419) Acc@1: 71.8750 (71.8750) Acc@5: 100.0000 (100.0000) Time: 2.154s, 59.43/s (2.154s, 59.43/s) LR: 5.718e-04 Data: 1.725 (1.725) +2024-12-26 15:22:08,905 - train: [ INFO] - Train: 19 [ 50/52 ( 98%)] Loss: 0.887191 (0.9146) Acc@1: 75.0000 (73.4375) Acc@5: 99.2188 (99.6094) Time: 0.378s, 338.64/s (0.420s, 304.61/s) LR: 5.718e-04 Data: 0.000 (0.035) +2024-12-26 15:22:09,355 - train: [ INFO] - Train: 19 [ 51/52 (100%)] Loss: 0.920346 (0.9165) Acc@1: 75.7812 (74.2188) Acc@5: 99.2188 (99.4792) Time: 0.379s, 338.01/s (0.419s, 305.19/s) LR: 5.718e-04 Data: 0.000 (0.034) +2024-12-26 15:22:12,300 - train: [ INFO] - Eval : 19 Time: 2.678 (2.678) Loss: 2.1879 (2.1879) Acc@1: 36.7188 (36.7188)Acc@5: 98.4375 (98.4375) +2024-12-26 15:22:13,045 - train: [ INFO] - Eval : 19 Time: 0.134 (0.571) Loss: 2.2410 (2.0390) Acc@1: 40.3846 (41.2634)Acc@5: 99.0385 (97.5806) +2024-12-26 15:22:15,832 - train: [ INFO] - Train: 20 [ 0/52 ( 0%)] Loss: 0.923850 (0.9238) Acc@1: 73.4375 (73.4375) Acc@5: 100.0000 (100.0000) Time: 2.106s, 60.78/s (2.106s, 60.78/s) LR: 5.663e-04 Data: 1.671 (1.671) +2024-12-26 15:22:35,202 - train: [ INFO] - Train: 20 [ 50/52 ( 98%)] Loss: 1.045971 (0.9849) Acc@1: 69.5312 (71.4844) Acc@5: 98.4375 (99.2188) Time: 0.398s, 322.00/s (0.420s, 304.41/s) LR: 5.663e-04 Data: 0.000 (0.034) +2024-12-26 15:22:35,600 - train: [ INFO] - Train: 20 [ 51/52 (100%)] Loss: 0.965255 (0.9784) Acc@1: 75.0000 (72.6562) Acc@5: 99.2188 (99.2188) Time: 0.381s, 335.97/s (0.420s, 304.96/s) LR: 5.663e-04 Data: 0.000 (0.033) +2024-12-26 15:22:37,502 - train: [ INFO] - Eval : 20 Time: 1.698 (1.698) Loss: 2.7277 (2.7277) Acc@1: 28.1250 (28.1250)Acc@5: 92.9688 (92.9688) +2024-12-26 15:22:38,217 - train: [ INFO] - Eval : 20 Time: 0.127 (0.402) Loss: 3.0317 (2.8305) Acc@1: 23.0769 (26.4785)Acc@5: 94.2308 (91.5323) +2024-12-26 15:22:42,114 - train: [ INFO] - Train: 21 [ 0/52 ( 0%)] Loss: 0.896997 (0.8970) Acc@1: 76.5625 (76.5625) Acc@5: 100.0000 (100.0000) Time: 3.160s, 40.50/s (3.160s, 40.50/s) LR: 5.605e-04 Data: 2.712 (2.712) +2024-12-26 15:23:01,467 - train: [ INFO] - Train: 21 [ 50/52 ( 98%)] Loss: 0.892456 (0.8947) Acc@1: 82.0312 (79.2969) Acc@5: 98.4375 (99.2188) Time: 0.384s, 333.51/s (0.441s, 290.47/s) LR: 5.605e-04 Data: 0.000 (0.054) +2024-12-26 15:23:01,875 - train: [ INFO] - Train: 21 [ 51/52 (100%)] Loss: 0.780472 (0.8566) Acc@1: 85.1562 (81.2500) Acc@5: 99.2188 (99.2188) Time: 0.396s, 322.98/s (0.440s, 291.04/s) LR: 5.605e-04 Data: 0.000 (0.053) +2024-12-26 15:23:04,336 - train: [ INFO] - Eval : 21 Time: 2.247 (2.247) Loss: 1.1460 (1.1460) Acc@1: 53.9062 (53.9062)Acc@5: 98.4375 (98.4375) +2024-12-26 15:23:05,058 - train: [ INFO] - Eval : 21 Time: 0.142 (0.495) Loss: 1.1309 (1.0742) Acc@1: 58.6538 (57.2581)Acc@5: 99.0385 (99.4624) +2024-12-26 15:23:08,069 - train: [ INFO] - Train: 22 [ 0/52 ( 0%)] Loss: 0.797924 (0.7979) Acc@1: 84.3750 (84.3750) Acc@5: 99.2188 (99.2188) Time: 2.293s, 55.82/s (2.293s, 55.82/s) LR: 5.544e-04 Data: 1.839 (1.839) +2024-12-26 15:23:27,401 - train: [ INFO] - Train: 22 [ 50/52 ( 98%)] Loss: 0.881667 (0.8398) Acc@1: 79.6875 (82.0312) Acc@5: 98.4375 (98.8281) Time: 0.389s, 329.34/s (0.423s, 302.60/s) LR: 5.544e-04 Data: 0.000 (0.037) +2024-12-26 15:23:27,800 - train: [ INFO] - Train: 22 [ 51/52 (100%)] Loss: 0.964123 (0.8812) Acc@1: 74.2188 (79.4271) Acc@5: 100.0000 (99.2188) Time: 0.396s, 323.10/s (0.422s, 302.97/s) LR: 5.544e-04 Data: 0.000 (0.036) +2024-12-26 15:23:29,294 - train: [ INFO] - Eval : 22 Time: 1.272 (1.272) Loss: 1.2184 (1.2184) Acc@1: 55.4688 (55.4688)Acc@5: 99.2188 (99.2188) +2024-12-26 15:23:30,019 - train: [ INFO] - Eval : 22 Time: 0.146 (0.333) Loss: 1.2412 (1.2023) Acc@1: 49.0385 (56.9892)Acc@5: 100.0000 (98.3871) +2024-12-26 15:23:32,728 - train: [ INFO] - Train: 23 [ 0/52 ( 0%)] Loss: 0.811551 (0.8116) Acc@1: 83.5938 (83.5938) Acc@5: 99.2188 (99.2188) Time: 1.979s, 64.67/s (1.979s, 64.67/s) LR: 5.482e-04 Data: 1.542 (1.542) +2024-12-26 15:23:52,316 - train: [ INFO] - Train: 23 [ 50/52 ( 98%)] Loss: 0.963352 (0.8875) Acc@1: 76.5625 (80.0781) Acc@5: 100.0000 (99.6094) Time: 0.384s, 333.66/s (0.420s, 304.50/s) LR: 5.482e-04 Data: 0.000 (0.032) +2024-12-26 15:23:52,714 - train: [ INFO] - Train: 23 [ 51/52 (100%)] Loss: 0.906873 (0.8939) Acc@1: 76.5625 (78.9062) Acc@5: 100.0000 (99.7396) Time: 0.388s, 330.00/s (0.420s, 304.95/s) LR: 5.482e-04 Data: 0.001 (0.031) +2024-12-26 15:23:54,327 - train: [ INFO] - Eval : 23 Time: 1.362 (1.362) Loss: 1.6006 (1.6006) Acc@1: 49.2188 (49.2188)Acc@5: 98.4375 (98.4375) +2024-12-26 15:23:55,053 - train: [ INFO] - Eval : 23 Time: 0.131 (0.348) Loss: 1.1903 (1.4458) Acc@1: 59.6154 (52.5538)Acc@5: 98.0769 (98.5215) +2024-12-26 15:23:57,871 - train: [ INFO] - Train: 24 [ 0/52 ( 0%)] Loss: 0.857327 (0.8573) Acc@1: 80.4688 (80.4688) Acc@5: 100.0000 (100.0000) Time: 2.175s, 58.86/s (2.175s, 58.86/s) LR: 5.417e-04 Data: 1.739 (1.739) +2024-12-26 15:24:17,119 - train: [ INFO] - Train: 24 [ 50/52 ( 98%)] Loss: 0.847266 (0.8523) Acc@1: 79.6875 (80.0781) Acc@5: 99.2188 (99.6094) Time: 0.375s, 340.92/s (0.419s, 305.26/s) LR: 5.417e-04 Data: 0.000 (0.035) +2024-12-26 15:24:17,521 - train: [ INFO] - Train: 24 [ 51/52 (100%)] Loss: 0.826710 (0.8438) Acc@1: 84.3750 (81.5104) Acc@5: 100.0000 (99.7396) Time: 0.399s, 321.12/s (0.419s, 305.55/s) LR: 5.417e-04 Data: 0.000 (0.034) +2024-12-26 15:24:19,135 - train: [ INFO] - Eval : 24 Time: 1.354 (1.354) Loss: 1.2455 (1.2455) Acc@1: 60.9375 (60.9375)Acc@5: 96.8750 (96.8750) +2024-12-26 15:24:19,865 - train: [ INFO] - Eval : 24 Time: 0.134 (0.347) Loss: 1.2993 (1.2065) Acc@1: 55.7692 (59.0054)Acc@5: 97.1154 (97.9839) +2024-12-26 15:24:20,576 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-24.pth.tar', 59.005376754268525) + +2024-12-26 15:24:22,154 - train: [ INFO] - Train: 25 [ 0/52 ( 0%)] Loss: 0.861213 (0.8612) Acc@1: 78.1250 (78.1250) Acc@5: 98.4375 (98.4375) Time: 1.564s, 81.83/s (1.564s, 81.83/s) LR: 5.349e-04 Data: 1.147 (1.147) +2024-12-26 15:24:41,538 - train: [ INFO] - Train: 25 [ 50/52 ( 98%)] Loss: 0.724320 (0.7928) Acc@1: 90.6250 (84.3750) Acc@5: 100.0000 (99.2188) Time: 0.383s, 333.87/s (0.410s, 312.36/s) LR: 5.349e-04 Data: 0.000 (0.024) +2024-12-26 15:24:41,920 - train: [ INFO] - Train: 25 [ 51/52 (100%)] Loss: 0.854417 (0.8133) Acc@1: 83.5938 (84.1146) Acc@5: 99.2188 (99.2188) Time: 0.379s, 337.80/s (0.409s, 312.82/s) LR: 5.349e-04 Data: 0.000 (0.023) +2024-12-26 15:24:43,741 - train: [ INFO] - Eval : 25 Time: 1.608 (1.608) Loss: 1.3591 (1.3591) Acc@1: 55.4688 (55.4688)Acc@5: 99.2188 (99.2188) +2024-12-26 15:24:44,498 - train: [ INFO] - Eval : 25 Time: 0.133 (0.394) Loss: 1.2956 (1.2737) Acc@1: 59.6154 (58.1989)Acc@5: 100.0000 (99.1935) +2024-12-26 15:24:46,864 - train: [ INFO] - Train: 26 [ 0/52 ( 0%)] Loss: 0.677679 (0.6777) Acc@1: 91.4062 (91.4062) Acc@5: 99.2188 (99.2188) Time: 1.761s, 72.68/s (1.761s, 72.68/s) LR: 5.280e-04 Data: 1.322 (1.322) +2024-12-26 15:25:06,055 - train: [ INFO] - Train: 26 [ 50/52 ( 98%)] Loss: 0.899612 (0.7886) Acc@1: 75.7812 (83.5938) Acc@5: 100.0000 (99.6094) Time: 0.374s, 342.01/s (0.410s, 312.26/s) LR: 5.280e-04 Data: 0.000 (0.027) +2024-12-26 15:25:06,433 - train: [ INFO] - Train: 26 [ 51/52 (100%)] Loss: 0.734712 (0.7707) Acc@1: 89.0625 (85.4167) Acc@5: 100.0000 (99.7396) Time: 0.373s, 343.00/s (0.409s, 312.80/s) LR: 5.280e-04 Data: 0.000 (0.026) +2024-12-26 15:25:08,103 - train: [ INFO] - Eval : 26 Time: 1.462 (1.462) Loss: 1.7943 (1.7943) Acc@1: 45.3125 (45.3125)Acc@5: 96.8750 (96.8750) +2024-12-26 15:25:08,812 - train: [ INFO] - Eval : 26 Time: 0.139 (0.362) Loss: 1.4825 (1.5403) Acc@1: 47.1154 (49.7312)Acc@5: 99.0385 (97.4462) +2024-12-26 15:25:10,952 - train: [ INFO] - Train: 27 [ 0/52 ( 0%)] Loss: 0.773791 (0.7738) Acc@1: 86.7188 (86.7188) Acc@5: 100.0000 (100.0000) Time: 1.456s, 87.93/s (1.456s, 87.93/s) LR: 5.209e-04 Data: 1.061 (1.061) +2024-12-26 15:25:30,200 - train: [ INFO] - Train: 27 [ 50/52 ( 98%)] Loss: 0.762155 (0.7680) Acc@1: 85.1562 (85.9375) Acc@5: 100.0000 (100.0000) Time: 0.372s, 343.91/s (0.405s, 316.14/s) LR: 5.209e-04 Data: 0.000 (0.022) +2024-12-26 15:25:30,580 - train: [ INFO] - Train: 27 [ 51/52 (100%)] Loss: 0.757773 (0.7646) Acc@1: 85.1562 (85.6771) Acc@5: 99.2188 (99.7396) Time: 0.373s, 343.14/s (0.404s, 316.62/s) LR: 5.209e-04 Data: 0.000 (0.021) +2024-12-26 15:25:32,832 - train: [ INFO] - Eval : 27 Time: 1.993 (1.993) Loss: 1.5200 (1.5200) Acc@1: 48.4375 (48.4375)Acc@5: 94.5312 (94.5312) +2024-12-26 15:25:33,572 - train: [ INFO] - Eval : 27 Time: 0.136 (0.455) Loss: 1.5635 (1.4825) Acc@1: 59.6154 (52.5538)Acc@5: 95.1923 (96.9086) +2024-12-26 15:25:36,121 - train: [ INFO] - Train: 28 [ 0/52 ( 0%)] Loss: 0.833202 (0.8332) Acc@1: 80.4688 (80.4688) Acc@5: 99.2188 (99.2188) Time: 1.839s, 69.59/s (1.839s, 69.59/s) LR: 5.135e-04 Data: 1.378 (1.378) +2024-12-26 15:25:55,324 - train: [ INFO] - Train: 28 [ 50/52 ( 98%)] Loss: 0.691135 (0.7622) Acc@1: 85.1562 (82.8125) Acc@5: 99.2188 (99.2188) Time: 0.376s, 340.64/s (0.412s, 310.80/s) LR: 5.135e-04 Data: 0.000 (0.028) +2024-12-26 15:25:55,702 - train: [ INFO] - Train: 28 [ 51/52 (100%)] Loss: 0.785082 (0.7698) Acc@1: 85.9375 (83.8542) Acc@5: 100.0000 (99.4792) Time: 0.375s, 341.64/s (0.411s, 311.34/s) LR: 5.135e-04 Data: 0.000 (0.028) +2024-12-26 15:25:57,706 - train: [ INFO] - Eval : 28 Time: 1.774 (1.774) Loss: 0.9995 (0.9995) Acc@1: 60.9375 (60.9375)Acc@5: 99.2188 (99.2188) +2024-12-26 15:25:58,479 - train: [ INFO] - Eval : 28 Time: 0.132 (0.425) Loss: 1.1130 (1.0198) Acc@1: 59.6154 (63.4409)Acc@5: 98.0769 (99.1935) +2024-12-26 15:25:59,192 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-28.pth.tar', 63.44086054319976) + +2024-12-26 15:26:00,834 - train: [ INFO] - Train: 29 [ 0/52 ( 0%)] Loss: 0.708553 (0.7086) Acc@1: 87.5000 (87.5000) Acc@5: 100.0000 (100.0000) Time: 1.629s, 78.59/s (1.629s, 78.59/s) LR: 5.060e-04 Data: 1.218 (1.218) +2024-12-26 15:26:20,033 - train: [ INFO] - Train: 29 [ 50/52 ( 98%)] Loss: 0.798813 (0.7537) Acc@1: 82.0312 (84.7656) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.51/s (0.408s, 313.96/s) LR: 5.060e-04 Data: 0.000 (0.025) +2024-12-26 15:26:20,420 - train: [ INFO] - Train: 29 [ 51/52 (100%)] Loss: 0.740340 (0.7492) Acc@1: 88.2812 (85.9375) Acc@5: 99.2188 (99.7396) Time: 0.384s, 333.57/s (0.407s, 314.31/s) LR: 5.060e-04 Data: 0.000 (0.024) +2024-12-26 15:26:23,440 - train: [ INFO] - Eval : 29 Time: 2.812 (2.812) Loss: 1.1719 (1.1719) Acc@1: 52.3438 (52.3438)Acc@5: 99.2188 (99.2188) +2024-12-26 15:26:24,151 - train: [ INFO] - Eval : 29 Time: 0.128 (0.587) Loss: 1.0986 (1.1432) Acc@1: 59.6154 (58.0645)Acc@5: 97.1154 (98.9247) +2024-12-26 15:26:27,474 - train: [ INFO] - Train: 30 [ 0/52 ( 0%)] Loss: 0.688065 (0.6881) Acc@1: 87.5000 (87.5000) Acc@5: 100.0000 (100.0000) Time: 2.662s, 48.09/s (2.662s, 48.09/s) LR: 4.982e-04 Data: 2.244 (2.244) +2024-12-26 15:26:46,762 - train: [ INFO] - Train: 30 [ 50/52 ( 98%)] Loss: 0.715639 (0.7019) Acc@1: 89.8438 (88.6719) Acc@5: 100.0000 (100.0000) Time: 0.382s, 334.80/s (0.429s, 298.05/s) LR: 4.982e-04 Data: 0.000 (0.045) +2024-12-26 15:26:47,152 - train: [ INFO] - Train: 30 [ 51/52 (100%)] Loss: 0.745153 (0.7163) Acc@1: 85.1562 (87.5000) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.90/s (0.429s, 298.71/s) LR: 4.982e-04 Data: 0.000 (0.044) +2024-12-26 15:26:49,013 - train: [ INFO] - Eval : 30 Time: 1.577 (1.577) Loss: 1.9663 (1.9663) Acc@1: 44.5312 (44.5312)Acc@5: 98.4375 (98.4375) +2024-12-26 15:26:49,762 - train: [ INFO] - Eval : 30 Time: 0.137 (0.388) Loss: 2.0946 (2.0142) Acc@1: 39.4231 (43.6828)Acc@5: 97.1154 (97.0430) +2024-12-26 15:26:52,989 - train: [ INFO] - Train: 31 [ 0/52 ( 0%)] Loss: 0.673760 (0.6738) Acc@1: 88.2812 (88.2812) Acc@5: 100.0000 (100.0000) Time: 2.210s, 57.92/s (2.210s, 57.92/s) LR: 4.903e-04 Data: 1.783 (1.783) +2024-12-26 15:27:12,308 - train: [ INFO] - Train: 31 [ 50/52 ( 98%)] Loss: 0.724793 (0.6993) Acc@1: 88.2812 (88.2812) Acc@5: 99.2188 (99.6094) Time: 0.381s, 336.15/s (0.421s, 304.06/s) LR: 4.903e-04 Data: 0.000 (0.036) +2024-12-26 15:27:12,718 - train: [ INFO] - Train: 31 [ 51/52 (100%)] Loss: 0.719473 (0.7060) Acc@1: 88.2812 (88.2812) Acc@5: 100.0000 (99.7396) Time: 0.407s, 314.53/s (0.421s, 304.25/s) LR: 4.903e-04 Data: 0.000 (0.036) +2024-12-26 15:27:14,686 - train: [ INFO] - Eval : 31 Time: 1.734 (1.734) Loss: 1.2608 (1.2608) Acc@1: 58.5938 (58.5938)Acc@5: 96.0938 (96.0938) +2024-12-26 15:27:15,404 - train: [ INFO] - Eval : 31 Time: 0.131 (0.409) Loss: 1.3229 (1.3290) Acc@1: 55.7692 (55.7796)Acc@5: 98.0769 (97.7151) +2024-12-26 15:27:18,231 - train: [ INFO] - Train: 32 [ 0/52 ( 0%)] Loss: 0.731909 (0.7319) Acc@1: 84.3750 (84.3750) Acc@5: 100.0000 (100.0000) Time: 2.124s, 60.28/s (2.124s, 60.28/s) LR: 4.823e-04 Data: 1.697 (1.697) +2024-12-26 15:27:37,432 - train: [ INFO] - Train: 32 [ 50/52 ( 98%)] Loss: 0.637633 (0.6848) Acc@1: 92.1875 (88.2812) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.21/s (0.417s, 306.88/s) LR: 4.823e-04 Data: 0.000 (0.034) +2024-12-26 15:27:37,813 - train: [ INFO] - Train: 32 [ 51/52 (100%)] Loss: 0.706267 (0.6919) Acc@1: 89.0625 (88.5417) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.09/s (0.416s, 307.44/s) LR: 4.823e-04 Data: 0.000 (0.034) +2024-12-26 15:27:39,751 - train: [ INFO] - Eval : 32 Time: 1.696 (1.696) Loss: 1.4261 (1.4261) Acc@1: 55.4688 (55.4688)Acc@5: 97.6562 (97.6562) +2024-12-26 15:27:40,538 - train: [ INFO] - Eval : 32 Time: 0.148 (0.414) Loss: 1.4110 (1.3568) Acc@1: 50.9615 (55.2419)Acc@5: 99.0385 (98.5215) +2024-12-26 15:27:44,397 - train: [ INFO] - Train: 33 [ 0/52 ( 0%)] Loss: 0.643933 (0.6439) Acc@1: 91.4062 (91.4062) Acc@5: 100.0000 (100.0000) Time: 2.289s, 55.93/s (2.289s, 55.93/s) LR: 4.740e-04 Data: 1.834 (1.834) +2024-12-26 15:28:03,755 - train: [ INFO] - Train: 33 [ 50/52 ( 98%)] Loss: 0.667022 (0.6555) Acc@1: 91.4062 (91.4062) Acc@5: 100.0000 (100.0000) Time: 0.373s, 342.84/s (0.424s, 302.22/s) LR: 4.740e-04 Data: 0.000 (0.037) +2024-12-26 15:28:04,159 - train: [ INFO] - Train: 33 [ 51/52 (100%)] Loss: 0.706605 (0.6725) Acc@1: 88.2812 (90.3646) Acc@5: 100.0000 (100.0000) Time: 0.400s, 319.69/s (0.423s, 302.54/s) LR: 4.740e-04 Data: 0.000 (0.036) +2024-12-26 15:28:05,899 - train: [ INFO] - Eval : 33 Time: 1.450 (1.450) Loss: 1.6118 (1.6118) Acc@1: 50.7812 (50.7812)Acc@5: 96.0938 (96.0938) +2024-12-26 15:28:06,622 - train: [ INFO] - Eval : 33 Time: 0.132 (0.362) Loss: 1.6399 (1.6714) Acc@1: 46.1538 (50.5376)Acc@5: 96.1538 (95.1613) +2024-12-26 15:28:08,980 - train: [ INFO] - Train: 34 [ 0/52 ( 0%)] Loss: 0.593893 (0.5939) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.667s, 76.79/s (1.667s, 76.79/s) LR: 4.656e-04 Data: 1.188 (1.188) +2024-12-26 15:28:28,330 - train: [ INFO] - Train: 34 [ 50/52 ( 98%)] Loss: 0.735283 (0.6646) Acc@1: 86.7188 (91.4062) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.68/s (0.411s, 311.59/s) LR: 4.656e-04 Data: 0.000 (0.024) +2024-12-26 15:28:28,710 - train: [ INFO] - Train: 34 [ 51/52 (100%)] Loss: 0.701570 (0.6769) Acc@1: 88.2812 (90.3646) Acc@5: 99.2188 (99.7396) Time: 0.376s, 340.29/s (0.410s, 312.10/s) LR: 4.656e-04 Data: 0.000 (0.024) +2024-12-26 15:28:30,693 - train: [ INFO] - Eval : 34 Time: 1.693 (1.693) Loss: 0.9789 (0.9789) Acc@1: 64.0625 (64.0625)Acc@5: 98.4375 (98.4375) +2024-12-26 15:28:31,398 - train: [ INFO] - Eval : 34 Time: 0.134 (0.400) Loss: 1.0270 (1.0924) Acc@1: 60.5769 (61.8280)Acc@5: 97.1154 (98.3871) +2024-12-26 15:28:33,992 - train: [ INFO] - Train: 35 [ 0/52 ( 0%)] Loss: 0.616265 (0.6163) Acc@1: 91.4062 (91.4062) Acc@5: 100.0000 (100.0000) Time: 1.871s, 68.42/s (1.871s, 68.42/s) LR: 4.571e-04 Data: 1.416 (1.416) +2024-12-26 15:28:53,415 - train: [ INFO] - Train: 35 [ 50/52 ( 98%)] Loss: 0.648010 (0.6321) Acc@1: 89.0625 (90.2344) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.45/s (0.417s, 307.31/s) LR: 4.571e-04 Data: 0.000 (0.029) +2024-12-26 15:28:53,790 - train: [ INFO] - Train: 35 [ 51/52 (100%)] Loss: 0.622321 (0.6289) Acc@1: 92.1875 (90.8854) Acc@5: 100.0000 (100.0000) Time: 0.372s, 343.72/s (0.416s, 307.94/s) LR: 4.571e-04 Data: 0.000 (0.029) +2024-12-26 15:28:55,805 - train: [ INFO] - Eval : 35 Time: 1.756 (1.756) Loss: 1.3706 (1.3706) Acc@1: 57.0312 (57.0312)Acc@5: 97.6562 (97.6562) +2024-12-26 15:28:56,527 - train: [ INFO] - Eval : 35 Time: 0.130 (0.413) Loss: 1.3692 (1.2954) Acc@1: 50.9615 (56.7204)Acc@5: 96.1538 (97.0430) +2024-12-26 15:28:58,674 - train: [ INFO] - Train: 36 [ 0/52 ( 0%)] Loss: 0.573966 (0.5740) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 1.509s, 84.84/s (1.509s, 84.84/s) LR: 4.484e-04 Data: 1.080 (1.080) +2024-12-26 15:29:17,990 - train: [ INFO] - Train: 36 [ 50/52 ( 98%)] Loss: 0.630942 (0.6025) Acc@1: 93.7500 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.381s, 336.22/s (0.407s, 314.48/s) LR: 4.484e-04 Data: 0.000 (0.022) +2024-12-26 15:29:18,373 - train: [ INFO] - Train: 36 [ 51/52 (100%)] Loss: 0.619128 (0.6080) Acc@1: 90.6250 (93.2292) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.40/s (0.406s, 314.89/s) LR: 4.484e-04 Data: 0.000 (0.022) +2024-12-26 15:29:21,426 - train: [ INFO] - Eval : 36 Time: 2.869 (2.869) Loss: 1.0405 (1.0405) Acc@1: 65.6250 (65.6250)Acc@5: 98.4375 (98.4375) +2024-12-26 15:29:22,154 - train: [ INFO] - Eval : 36 Time: 0.149 (0.600) Loss: 1.0153 (1.1064) Acc@1: 64.4231 (60.7527)Acc@5: 98.0769 (98.1183) +2024-12-26 15:29:25,022 - train: [ INFO] - Train: 37 [ 0/52 ( 0%)] Loss: 0.589650 (0.5896) Acc@1: 93.7500 (93.7500) Acc@5: 100.0000 (100.0000) Time: 2.112s, 60.61/s (2.112s, 60.61/s) LR: 4.396e-04 Data: 1.644 (1.644) +2024-12-26 15:29:44,383 - train: [ INFO] - Train: 37 [ 50/52 ( 98%)] Loss: 0.637020 (0.6133) Acc@1: 94.5312 (94.1406) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.48/s (0.420s, 304.82/s) LR: 4.396e-04 Data: 0.000 (0.033) +2024-12-26 15:29:44,768 - train: [ INFO] - Train: 37 [ 51/52 (100%)] Loss: 0.639791 (0.6222) Acc@1: 91.4062 (93.2292) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.22/s (0.419s, 305.33/s) LR: 4.396e-04 Data: 0.000 (0.033) +2024-12-26 15:29:46,305 - train: [ INFO] - Eval : 37 Time: 1.261 (1.261) Loss: 1.0617 (1.0617) Acc@1: 61.7188 (61.7188)Acc@5: 98.4375 (98.4375) +2024-12-26 15:29:47,022 - train: [ INFO] - Eval : 37 Time: 0.132 (0.330) Loss: 0.9993 (1.0229) Acc@1: 64.4231 (64.3817)Acc@5: 98.0769 (98.6559) +2024-12-26 15:29:47,856 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-37.pth.tar', 64.38172092232652) + +2024-12-26 15:29:50,236 - train: [ INFO] - Train: 38 [ 0/52 ( 0%)] Loss: 0.530811 (0.5308) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.367s, 54.09/s (2.367s, 54.09/s) LR: 4.307e-04 Data: 1.915 (1.915) +2024-12-26 15:30:09,463 - train: [ INFO] - Train: 38 [ 50/52 ( 98%)] Loss: 0.657949 (0.5944) Acc@1: 89.8438 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.372s, 343.96/s (0.422s, 303.10/s) LR: 4.307e-04 Data: 0.000 (0.039) +2024-12-26 15:30:09,864 - train: [ INFO] - Train: 38 [ 51/52 (100%)] Loss: 0.514325 (0.5677) Acc@1: 99.2188 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.87/s (0.422s, 303.44/s) LR: 4.307e-04 Data: 0.000 (0.038) +2024-12-26 15:30:12,305 - train: [ INFO] - Eval : 38 Time: 2.233 (2.233) Loss: 1.3025 (1.3025) Acc@1: 57.0312 (57.0312)Acc@5: 99.2188 (99.2188) +2024-12-26 15:30:13,024 - train: [ INFO] - Eval : 38 Time: 0.131 (0.492) Loss: 0.8423 (1.0828) Acc@1: 69.2308 (61.4247)Acc@5: 99.0385 (98.3871) +2024-12-26 15:30:16,252 - train: [ INFO] - Train: 39 [ 0/52 ( 0%)] Loss: 0.605408 (0.6054) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 2.605s, 49.13/s (2.605s, 49.13/s) LR: 4.217e-04 Data: 2.153 (2.153) +2024-12-26 15:30:35,585 - train: [ INFO] - Train: 39 [ 50/52 ( 98%)] Loss: 0.594768 (0.6001) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.54/s (0.429s, 298.07/s) LR: 4.217e-04 Data: 0.000 (0.043) +2024-12-26 15:30:35,971 - train: [ INFO] - Train: 39 [ 51/52 (100%)] Loss: 0.642970 (0.6144) Acc@1: 91.4062 (94.0104) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.13/s (0.429s, 298.69/s) LR: 4.217e-04 Data: 0.000 (0.043) +2024-12-26 15:30:38,213 - train: [ INFO] - Eval : 39 Time: 2.005 (2.005) Loss: 1.1679 (1.1679) Acc@1: 61.7188 (61.7188)Acc@5: 96.8750 (96.8750) +2024-12-26 15:30:38,945 - train: [ INFO] - Eval : 39 Time: 0.133 (0.456) Loss: 1.2889 (1.2337) Acc@1: 54.8077 (58.8710)Acc@5: 97.1154 (97.5806) +2024-12-26 15:30:41,761 - train: [ INFO] - Train: 40 [ 0/52 ( 0%)] Loss: 0.564180 (0.5642) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 2.133s, 60.01/s (2.133s, 60.01/s) LR: 4.125e-04 Data: 1.721 (1.721) +2024-12-26 15:31:01,080 - train: [ INFO] - Train: 40 [ 50/52 ( 98%)] Loss: 0.541729 (0.5530) Acc@1: 96.8750 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.47/s (0.420s, 305.03/s) LR: 4.125e-04 Data: 0.000 (0.035) +2024-12-26 15:31:01,514 - train: [ INFO] - Train: 40 [ 51/52 (100%)] Loss: 0.593300 (0.5664) Acc@1: 93.7500 (95.5729) Acc@5: 100.0000 (100.0000) Time: 0.431s, 297.12/s (0.420s, 304.87/s) LR: 4.125e-04 Data: 0.000 (0.034) +2024-12-26 15:31:03,770 - train: [ INFO] - Eval : 40 Time: 2.034 (2.034) Loss: 1.1460 (1.1460) Acc@1: 60.9375 (60.9375)Acc@5: 99.2188 (99.2188) +2024-12-26 15:31:04,542 - train: [ INFO] - Eval : 40 Time: 0.165 (0.468) Loss: 1.2054 (1.0870) Acc@1: 54.8077 (62.2312)Acc@5: 99.0385 (98.9247) +2024-12-26 15:31:06,869 - train: [ INFO] - Train: 41 [ 0/52 ( 0%)] Loss: 0.597202 (0.5972) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 1.604s, 79.80/s (1.604s, 79.80/s) LR: 4.033e-04 Data: 1.138 (1.138) +2024-12-26 15:31:26,185 - train: [ INFO] - Train: 41 [ 50/52 ( 98%)] Loss: 0.598022 (0.5976) Acc@1: 92.1875 (93.3594) Acc@5: 100.0000 (100.0000) Time: 0.382s, 334.66/s (0.409s, 312.60/s) LR: 4.033e-04 Data: 0.000 (0.023) +2024-12-26 15:31:26,567 - train: [ INFO] - Train: 41 [ 51/52 (100%)] Loss: 0.571883 (0.5890) Acc@1: 94.5312 (93.7500) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.85/s (0.409s, 313.08/s) LR: 4.033e-04 Data: 0.000 (0.023) +2024-12-26 15:31:29,382 - train: [ INFO] - Eval : 41 Time: 2.602 (2.602) Loss: 1.2669 (1.2669) Acc@1: 57.8125 (57.8125)Acc@5: 98.4375 (98.4375) +2024-12-26 15:31:30,108 - train: [ INFO] - Eval : 41 Time: 0.132 (0.555) Loss: 1.2431 (1.3228) Acc@1: 62.5000 (59.5430)Acc@5: 99.0385 (97.1774) +2024-12-26 15:31:33,613 - train: [ INFO] - Train: 42 [ 0/52 ( 0%)] Loss: 0.560568 (0.5606) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 2.348s, 54.52/s (2.348s, 54.52/s) LR: 3.940e-04 Data: 1.930 (1.930) +2024-12-26 15:31:52,885 - train: [ INFO] - Train: 42 [ 50/52 ( 98%)] Loss: 0.536480 (0.5485) Acc@1: 97.6562 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.54/s (0.423s, 302.42/s) LR: 3.940e-04 Data: 0.000 (0.039) +2024-12-26 15:31:53,273 - train: [ INFO] - Train: 42 [ 51/52 (100%)] Loss: 0.564491 (0.5538) Acc@1: 96.8750 (96.3542) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.33/s (0.422s, 302.96/s) LR: 3.940e-04 Data: 0.000 (0.038) +2024-12-26 15:31:54,802 - train: [ INFO] - Eval : 42 Time: 1.294 (1.294) Loss: 1.4179 (1.4179) Acc@1: 51.5625 (51.5625)Acc@5: 100.0000 (100.0000) +2024-12-26 15:31:55,526 - train: [ INFO] - Eval : 42 Time: 0.139 (0.336) Loss: 1.2418 (1.3409) Acc@1: 55.7692 (54.3011)Acc@5: 98.0769 (98.7903) +2024-12-26 15:31:58,354 - train: [ INFO] - Train: 43 [ 0/52 ( 0%)] Loss: 0.535250 (0.5352) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 2.186s, 58.55/s (2.186s, 58.55/s) LR: 3.846e-04 Data: 1.747 (1.747) +2024-12-26 15:32:17,698 - train: [ INFO] - Train: 43 [ 50/52 ( 98%)] Loss: 0.513082 (0.5242) Acc@1: 100.0000 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.401s, 319.29/s (0.421s, 304.10/s) LR: 3.846e-04 Data: 0.000 (0.035) +2024-12-26 15:32:18,095 - train: [ INFO] - Train: 43 [ 51/52 (100%)] Loss: 0.547008 (0.5318) Acc@1: 96.8750 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.394s, 324.68/s (0.420s, 304.47/s) LR: 3.846e-04 Data: 0.000 (0.035) +2024-12-26 15:32:20,536 - train: [ INFO] - Eval : 43 Time: 2.233 (2.233) Loss: 1.1732 (1.1732) Acc@1: 60.1562 (60.1562)Acc@5: 97.6562 (97.6562) +2024-12-26 15:32:21,276 - train: [ INFO] - Eval : 43 Time: 0.144 (0.496) Loss: 1.2000 (1.1235) Acc@1: 62.5000 (62.3656)Acc@5: 95.1923 (97.5806) +2024-12-26 15:32:24,328 - train: [ INFO] - Train: 44 [ 0/52 ( 0%)] Loss: 0.513858 (0.5139) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 2.418s, 52.93/s (2.418s, 52.93/s) LR: 3.751e-04 Data: 1.960 (1.960) +2024-12-26 15:32:43,721 - train: [ INFO] - Train: 44 [ 50/52 ( 98%)] Loss: 0.529896 (0.5219) Acc@1: 98.4375 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.394s, 324.60/s (0.427s, 299.95/s) LR: 3.751e-04 Data: 0.000 (0.040) +2024-12-26 15:32:44,097 - train: [ INFO] - Train: 44 [ 51/52 (100%)] Loss: 0.581521 (0.5418) Acc@1: 94.5312 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.07/s (0.426s, 300.66/s) LR: 3.751e-04 Data: 0.000 (0.039) +2024-12-26 15:32:46,023 - train: [ INFO] - Eval : 44 Time: 1.752 (1.752) Loss: 0.9360 (0.9360) Acc@1: 67.1875 (67.1875)Acc@5: 96.8750 (96.8750) +2024-12-26 15:32:46,812 - train: [ INFO] - Eval : 44 Time: 0.133 (0.424) Loss: 1.3312 (1.1141) Acc@1: 57.6923 (62.6344)Acc@5: 96.1538 (97.5806) +2024-12-26 15:32:49,478 - train: [ INFO] - Train: 45 [ 0/52 ( 0%)] Loss: 0.525797 (0.5258) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.974s, 64.85/s (1.974s, 64.85/s) LR: 3.656e-04 Data: 1.536 (1.536) +2024-12-26 15:33:08,771 - train: [ INFO] - Train: 45 [ 50/52 ( 98%)] Loss: 0.568686 (0.5472) Acc@1: 96.0938 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.45/s (0.416s, 307.49/s) LR: 3.656e-04 Data: 0.000 (0.031) +2024-12-26 15:33:09,166 - train: [ INFO] - Train: 45 [ 51/52 (100%)] Loss: 0.566083 (0.5535) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.19/s (0.416s, 307.98/s) LR: 3.656e-04 Data: 0.000 (0.031) +2024-12-26 15:33:10,740 - train: [ INFO] - Eval : 45 Time: 1.344 (1.344) Loss: 1.0689 (1.0689) Acc@1: 62.5000 (62.5000)Acc@5: 99.2188 (99.2188) +2024-12-26 15:33:11,508 - train: [ INFO] - Eval : 45 Time: 0.175 (0.352) Loss: 1.0179 (1.0133) Acc@1: 66.3462 (63.0376)Acc@5: 99.0385 (99.0591) +2024-12-26 15:33:14,602 - train: [ INFO] - Train: 46 [ 0/52 ( 0%)] Loss: 0.546866 (0.5469) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.605s, 79.75/s (1.605s, 79.75/s) LR: 3.560e-04 Data: 1.162 (1.162) +2024-12-26 15:33:33,913 - train: [ INFO] - Train: 46 [ 50/52 ( 98%)] Loss: 0.496670 (0.5218) Acc@1: 100.0000 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.18/s (0.409s, 312.62/s) LR: 3.560e-04 Data: 0.000 (0.024) +2024-12-26 15:33:34,291 - train: [ INFO] - Train: 46 [ 51/52 (100%)] Loss: 0.522341 (0.5220) Acc@1: 98.4375 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.83/s (0.409s, 313.12/s) LR: 3.560e-04 Data: 0.000 (0.024) +2024-12-26 15:33:35,892 - train: [ INFO] - Eval : 46 Time: 1.362 (1.362) Loss: 1.3817 (1.3817) Acc@1: 50.0000 (50.0000)Acc@5: 98.4375 (98.4375) +2024-12-26 15:33:36,608 - train: [ INFO] - Eval : 46 Time: 0.137 (0.346) Loss: 1.1486 (1.3161) Acc@1: 64.4231 (57.1237)Acc@5: 98.0769 (98.2527) +2024-12-26 15:33:39,226 - train: [ INFO] - Train: 47 [ 0/52 ( 0%)] Loss: 0.552744 (0.5527) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.873s, 68.34/s (1.873s, 68.34/s) LR: 3.464e-04 Data: 1.462 (1.462) +2024-12-26 15:33:58,566 - train: [ INFO] - Train: 47 [ 50/52 ( 98%)] Loss: 0.595449 (0.5741) Acc@1: 93.7500 (94.9219) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.43/s (0.415s, 308.48/s) LR: 3.464e-04 Data: 0.000 (0.030) +2024-12-26 15:33:58,951 - train: [ INFO] - Train: 47 [ 51/52 (100%)] Loss: 0.482788 (0.5437) Acc@1: 100.0000 (96.6146) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.12/s (0.414s, 308.96/s) LR: 3.464e-04 Data: 0.000 (0.029) +2024-12-26 15:34:00,606 - train: [ INFO] - Eval : 47 Time: 1.383 (1.383) Loss: 0.9231 (0.9231) Acc@1: 67.9688 (67.9688)Acc@5: 99.2188 (99.2188) +2024-12-26 15:34:01,325 - train: [ INFO] - Eval : 47 Time: 0.158 (0.350) Loss: 0.9788 (0.9512) Acc@1: 69.2308 (67.8763)Acc@5: 99.0385 (98.5215) +2024-12-26 15:34:02,030 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-47.pth.tar', 67.8763447423135) + +2024-12-26 15:34:03,614 - train: [ INFO] - Train: 48 [ 0/52 ( 0%)] Loss: 0.514555 (0.5146) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.569s, 81.59/s (1.569s, 81.59/s) LR: 3.368e-04 Data: 1.149 (1.149) +2024-12-26 15:34:22,898 - train: [ INFO] - Train: 48 [ 50/52 ( 98%)] Loss: 0.577944 (0.5462) Acc@1: 94.5312 (95.7031) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.70/s (0.408s, 313.95/s) LR: 3.368e-04 Data: 0.000 (0.024) +2024-12-26 15:34:23,287 - train: [ INFO] - Train: 48 [ 51/52 (100%)] Loss: 0.525999 (0.5395) Acc@1: 96.8750 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.16/s (0.407s, 314.28/s) LR: 3.368e-04 Data: 0.000 (0.023) +2024-12-26 15:34:26,130 - train: [ INFO] - Eval : 48 Time: 2.565 (2.565) Loss: 1.3934 (1.3934) Acc@1: 56.2500 (56.2500)Acc@5: 96.0938 (96.0938) +2024-12-26 15:34:26,839 - train: [ INFO] - Eval : 48 Time: 0.130 (0.546) Loss: 0.9813 (1.2346) Acc@1: 63.4615 (58.7366)Acc@5: 98.0769 (96.7742) +2024-12-26 15:34:29,078 - train: [ INFO] - Train: 49 [ 0/52 ( 0%)] Loss: 0.532637 (0.5326) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.507s, 84.96/s (1.507s, 84.96/s) LR: 3.272e-04 Data: 1.065 (1.065) +2024-12-26 15:34:48,390 - train: [ INFO] - Train: 49 [ 50/52 ( 98%)] Loss: 0.506889 (0.5198) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.09/s (0.407s, 314.30/s) LR: 3.272e-04 Data: 0.000 (0.022) +2024-12-26 15:34:48,795 - train: [ INFO] - Train: 49 [ 51/52 (100%)] Loss: 0.518211 (0.5192) Acc@1: 97.6562 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.401s, 319.41/s (0.407s, 314.39/s) LR: 3.272e-04 Data: 0.000 (0.022) +2024-12-26 15:34:51,404 - train: [ INFO] - Eval : 49 Time: 2.360 (2.360) Loss: 0.9415 (0.9415) Acc@1: 67.1875 (67.1875)Acc@5: 98.4375 (98.4375) +2024-12-26 15:34:52,111 - train: [ INFO] - Eval : 49 Time: 0.128 (0.511) Loss: 1.2823 (1.1501) Acc@1: 56.7308 (61.8280)Acc@5: 97.1154 (97.3118) +2024-12-26 15:34:55,223 - train: [ INFO] - Train: 50 [ 0/52 ( 0%)] Loss: 0.525170 (0.5252) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.331s, 54.91/s (2.331s, 54.91/s) LR: 3.175e-04 Data: 1.896 (1.896) +2024-12-26 15:35:14,411 - train: [ INFO] - Train: 50 [ 50/52 ( 98%)] Loss: 0.540272 (0.5327) Acc@1: 96.8750 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.379s, 338.04/s (0.421s, 303.85/s) LR: 3.175e-04 Data: 0.000 (0.038) +2024-12-26 15:35:14,786 - train: [ INFO] - Train: 50 [ 51/52 (100%)] Loss: 0.527052 (0.5308) Acc@1: 96.0938 (97.1354) Acc@5: 100.0000 (100.0000) Time: 0.373s, 343.60/s (0.420s, 304.53/s) LR: 3.175e-04 Data: 0.000 (0.037) +2024-12-26 15:35:17,106 - train: [ INFO] - Eval : 50 Time: 2.124 (2.124) Loss: 1.3223 (1.3223) Acc@1: 55.4688 (55.4688)Acc@5: 97.6562 (97.6562) +2024-12-26 15:35:17,953 - train: [ INFO] - Eval : 50 Time: 0.187 (0.495) Loss: 1.4480 (1.2398) Acc@1: 51.9231 (59.1398)Acc@5: 95.1923 (98.1183) +2024-12-26 15:35:21,788 - train: [ INFO] - Train: 51 [ 0/52 ( 0%)] Loss: 0.502871 (0.5029) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 2.472s, 51.78/s (2.472s, 51.78/s) LR: 3.078e-04 Data: 1.998 (1.998) +2024-12-26 15:35:41,113 - train: [ INFO] - Train: 51 [ 50/52 ( 98%)] Loss: 0.488964 (0.4959) Acc@1: 98.4375 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.382s, 334.64/s (0.426s, 300.28/s) LR: 3.078e-04 Data: 0.000 (0.040) +2024-12-26 15:35:41,490 - train: [ INFO] - Train: 51 [ 51/52 (100%)] Loss: 0.541465 (0.5111) Acc@1: 96.0938 (97.3958) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.44/s (0.425s, 300.98/s) LR: 3.078e-04 Data: 0.000 (0.039) +2024-12-26 15:35:43,387 - train: [ INFO] - Eval : 51 Time: 1.647 (1.647) Loss: 1.0764 (1.0764) Acc@1: 62.5000 (62.5000)Acc@5: 97.6562 (97.6562) +2024-12-26 15:35:44,098 - train: [ INFO] - Eval : 51 Time: 0.133 (0.393) Loss: 0.8709 (1.1168) Acc@1: 66.3462 (62.0968)Acc@5: 99.0385 (98.2527) +2024-12-26 15:35:47,036 - train: [ INFO] - Train: 52 [ 0/52 ( 0%)] Loss: 0.518165 (0.5182) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 2.239s, 57.16/s (2.239s, 57.16/s) LR: 2.982e-04 Data: 1.815 (1.815) +2024-12-26 15:36:06,315 - train: [ INFO] - Train: 52 [ 50/52 ( 98%)] Loss: 0.487383 (0.5028) Acc@1: 100.0000 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.06/s (0.421s, 304.32/s) LR: 2.982e-04 Data: 0.000 (0.037) +2024-12-26 15:36:06,700 - train: [ INFO] - Train: 52 [ 51/52 (100%)] Loss: 0.501762 (0.5024) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.381s, 335.54/s (0.420s, 304.86/s) LR: 2.982e-04 Data: 0.000 (0.036) +2024-12-26 15:36:09,285 - train: [ INFO] - Eval : 52 Time: 2.362 (2.362) Loss: 0.9505 (0.9505) Acc@1: 68.7500 (68.7500)Acc@5: 97.6562 (97.6562) +2024-12-26 15:36:10,028 - train: [ INFO] - Eval : 52 Time: 0.146 (0.518) Loss: 1.1266 (1.0371) Acc@1: 60.5769 (64.6505)Acc@5: 98.0769 (98.6559) +2024-12-26 15:36:12,281 - train: [ INFO] - Train: 53 [ 0/52 ( 0%)] Loss: 0.492465 (0.4925) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.552s, 82.48/s (1.552s, 82.48/s) LR: 2.886e-04 Data: 1.133 (1.133) +2024-12-26 15:36:31,605 - train: [ INFO] - Train: 53 [ 50/52 ( 98%)] Loss: 0.494383 (0.4934) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.74/s (0.409s, 313.31/s) LR: 2.886e-04 Data: 0.000 (0.023) +2024-12-26 15:36:31,992 - train: [ INFO] - Train: 53 [ 51/52 (100%)] Loss: 0.527130 (0.5047) Acc@1: 96.8750 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.374s, 341.98/s (0.408s, 313.82/s) LR: 2.886e-04 Data: 0.000 (0.023) +2024-12-26 15:36:34,166 - train: [ INFO] - Eval : 53 Time: 1.897 (1.897) Loss: 1.0007 (1.0007) Acc@1: 67.1875 (67.1875)Acc@5: 97.6562 (97.6562) +2024-12-26 15:36:34,922 - train: [ INFO] - Eval : 53 Time: 0.145 (0.442) Loss: 1.1912 (1.0452) Acc@1: 62.5000 (64.9194)Acc@5: 98.0769 (97.3118) +2024-12-26 15:36:38,021 - train: [ INFO] - Train: 54 [ 0/52 ( 0%)] Loss: 0.496036 (0.4960) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.456s, 52.12/s (2.456s, 52.12/s) LR: 2.790e-04 Data: 2.004 (2.004) +2024-12-26 15:36:57,440 - train: [ INFO] - Train: 54 [ 50/52 ( 98%)] Loss: 0.491779 (0.4939) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.31/s (0.428s, 299.20/s) LR: 2.790e-04 Data: 0.000 (0.040) +2024-12-26 15:36:57,829 - train: [ INFO] - Train: 54 [ 51/52 (100%)] Loss: 0.496808 (0.4949) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.10/s (0.427s, 299.92/s) LR: 2.790e-04 Data: 0.000 (0.040) +2024-12-26 15:37:00,554 - train: [ INFO] - Eval : 54 Time: 2.415 (2.415) Loss: 0.9349 (0.9349) Acc@1: 67.9688 (67.9688)Acc@5: 98.4375 (98.4375) +2024-12-26 15:37:01,321 - train: [ INFO] - Eval : 54 Time: 0.140 (0.530) Loss: 0.9505 (1.0020) Acc@1: 64.4231 (65.4570)Acc@5: 98.0769 (98.5215) +2024-12-26 15:37:04,050 - train: [ INFO] - Train: 55 [ 0/52 ( 0%)] Loss: 0.482162 (0.4822) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.028s, 63.13/s (2.028s, 63.13/s) LR: 2.694e-04 Data: 1.580 (1.580) +2024-12-26 15:37:23,336 - train: [ INFO] - Train: 55 [ 50/52 ( 98%)] Loss: 0.485298 (0.4837) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.77/s (0.417s, 307.12/s) LR: 2.694e-04 Data: 0.000 (0.032) +2024-12-26 15:37:23,728 - train: [ INFO] - Train: 55 [ 51/52 (100%)] Loss: 0.503243 (0.4902) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.374s, 341.91/s (0.416s, 307.72/s) LR: 2.694e-04 Data: 0.000 (0.032) +2024-12-26 15:37:26,483 - train: [ INFO] - Eval : 55 Time: 2.519 (2.519) Loss: 1.0892 (1.0892) Acc@1: 64.8438 (64.8438)Acc@5: 100.0000 (100.0000) +2024-12-26 15:37:27,247 - train: [ INFO] - Eval : 55 Time: 0.147 (0.547) Loss: 0.9734 (1.0137) Acc@1: 66.3462 (64.9194)Acc@5: 97.1154 (98.1183) +2024-12-26 15:37:30,571 - train: [ INFO] - Train: 56 [ 0/52 ( 0%)] Loss: 0.484126 (0.4841) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.617s, 48.90/s (2.617s, 48.90/s) LR: 2.599e-04 Data: 2.189 (2.189) +2024-12-26 15:37:49,874 - train: [ INFO] - Train: 56 [ 50/52 ( 98%)] Loss: 0.512807 (0.4985) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.14/s (0.428s, 299.06/s) LR: 2.599e-04 Data: 0.000 (0.044) +2024-12-26 15:37:50,270 - train: [ INFO] - Train: 56 [ 51/52 (100%)] Loss: 0.503024 (0.5000) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.60/s (0.427s, 299.71/s) LR: 2.599e-04 Data: 0.000 (0.043) +2024-12-26 15:37:52,367 - train: [ INFO] - Eval : 56 Time: 1.903 (1.903) Loss: 0.8807 (0.8807) Acc@1: 67.9688 (67.9688)Acc@5: 100.0000 (100.0000) +2024-12-26 15:37:53,127 - train: [ INFO] - Eval : 56 Time: 0.132 (0.444) Loss: 1.0559 (1.0410) Acc@1: 63.4615 (63.7097)Acc@5: 98.0769 (98.3871) +2024-12-26 15:37:56,410 - train: [ INFO] - Train: 57 [ 0/52 ( 0%)] Loss: 0.473614 (0.4736) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.578s, 49.65/s (2.578s, 49.65/s) LR: 2.504e-04 Data: 2.154 (2.154) +2024-12-26 15:38:15,721 - train: [ INFO] - Train: 57 [ 50/52 ( 98%)] Loss: 0.477113 (0.4754) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.381s, 336.25/s (0.429s, 298.69/s) LR: 2.504e-04 Data: 0.000 (0.043) +2024-12-26 15:38:16,100 - train: [ INFO] - Train: 57 [ 51/52 (100%)] Loss: 0.485979 (0.4789) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.41/s (0.428s, 299.40/s) LR: 2.504e-04 Data: 0.000 (0.042) +2024-12-26 15:38:17,709 - train: [ INFO] - Eval : 57 Time: 1.422 (1.422) Loss: 0.8794 (0.8794) Acc@1: 68.7500 (68.7500)Acc@5: 100.0000 (100.0000) +2024-12-26 15:38:18,408 - train: [ INFO] - Eval : 57 Time: 0.131 (0.353) Loss: 0.8246 (1.0077) Acc@1: 73.0769 (65.0538)Acc@5: 99.0385 (98.7903) +2024-12-26 15:38:20,794 - train: [ INFO] - Train: 58 [ 0/52 ( 0%)] Loss: 0.489759 (0.4898) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.669s, 76.70/s (1.669s, 76.70/s) LR: 2.410e-04 Data: 1.242 (1.242) +2024-12-26 15:38:40,173 - train: [ INFO] - Train: 58 [ 50/52 ( 98%)] Loss: 0.502100 (0.4959) Acc@1: 96.8750 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.48/s (0.412s, 310.92/s) LR: 2.410e-04 Data: 0.000 (0.025) +2024-12-26 15:38:40,561 - train: [ INFO] - Train: 58 [ 51/52 (100%)] Loss: 0.488686 (0.4935) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.384s, 332.97/s (0.411s, 311.31/s) LR: 2.410e-04 Data: 0.000 (0.025) +2024-12-26 15:38:42,140 - train: [ INFO] - Eval : 58 Time: 1.367 (1.367) Loss: 0.9209 (0.9209) Acc@1: 67.9688 (67.9688)Acc@5: 100.0000 (100.0000) +2024-12-26 15:38:42,860 - train: [ INFO] - Eval : 58 Time: 0.149 (0.348) Loss: 0.9787 (0.9908) Acc@1: 66.3462 (65.5914)Acc@5: 97.1154 (98.7903) +2024-12-26 15:38:45,433 - train: [ INFO] - Train: 59 [ 0/52 ( 0%)] Loss: 0.499644 (0.4996) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.896s, 67.50/s (1.896s, 67.50/s) LR: 2.317e-04 Data: 1.442 (1.442) +2024-12-26 15:39:04,721 - train: [ INFO] - Train: 59 [ 50/52 ( 98%)] Loss: 0.508412 (0.5040) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.387s, 330.74/s (0.415s, 308.66/s) LR: 2.317e-04 Data: 0.000 (0.029) +2024-12-26 15:39:05,103 - train: [ INFO] - Train: 59 [ 51/52 (100%)] Loss: 0.478287 (0.4954) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.380s, 337.10/s (0.414s, 309.16/s) LR: 2.317e-04 Data: 0.000 (0.029) +2024-12-26 15:39:06,755 - train: [ INFO] - Eval : 59 Time: 1.383 (1.383) Loss: 0.8814 (0.8814) Acc@1: 67.9688 (67.9688)Acc@5: 98.4375 (98.4375) +2024-12-26 15:39:07,448 - train: [ INFO] - Eval : 59 Time: 0.132 (0.346) Loss: 1.0504 (0.9825) Acc@1: 67.3077 (66.2634)Acc@5: 99.0385 (98.2527) +2024-12-26 15:39:09,620 - train: [ INFO] - Train: 60 [ 0/52 ( 0%)] Loss: 0.486182 (0.4862) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.482s, 86.38/s (1.482s, 86.38/s) LR: 2.225e-04 Data: 1.108 (1.108) +2024-12-26 15:39:28,802 - train: [ INFO] - Train: 60 [ 50/52 ( 98%)] Loss: 0.498657 (0.4924) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.40/s (0.404s, 316.77/s) LR: 2.225e-04 Data: 0.000 (0.023) +2024-12-26 15:39:29,186 - train: [ INFO] - Train: 60 [ 51/52 (100%)] Loss: 0.471925 (0.4856) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.381s, 335.66/s (0.404s, 317.11/s) LR: 2.225e-04 Data: 0.000 (0.022) +2024-12-26 15:39:30,972 - train: [ INFO] - Eval : 60 Time: 1.589 (1.589) Loss: 1.0088 (1.0088) Acc@1: 63.2812 (63.2812)Acc@5: 98.4375 (98.4375) +2024-12-26 15:39:31,673 - train: [ INFO] - Eval : 60 Time: 0.130 (0.382) Loss: 0.9431 (1.0182) Acc@1: 69.2308 (66.9355)Acc@5: 99.0385 (98.5215) +2024-12-26 15:39:33,783 - train: [ INFO] - Train: 61 [ 0/52 ( 0%)] Loss: 0.478849 (0.4788) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.428s, 89.66/s (1.428s, 89.66/s) LR: 2.133e-04 Data: 1.053 (1.053) +2024-12-26 15:39:52,944 - train: [ INFO] - Train: 61 [ 50/52 ( 98%)] Loss: 0.501654 (0.4903) Acc@1: 96.8750 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.75/s (0.403s, 317.57/s) LR: 2.133e-04 Data: 0.000 (0.022) +2024-12-26 15:39:53,320 - train: [ INFO] - Train: 61 [ 51/52 (100%)] Loss: 0.484074 (0.4882) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.09/s (0.402s, 318.01/s) LR: 2.133e-04 Data: 0.000 (0.021) +2024-12-26 15:39:55,523 - train: [ INFO] - Eval : 61 Time: 1.940 (1.940) Loss: 1.0128 (1.0128) Acc@1: 67.1875 (67.1875)Acc@5: 99.2188 (99.2188) +2024-12-26 15:39:56,246 - train: [ INFO] - Eval : 61 Time: 0.133 (0.444) Loss: 1.2737 (1.1259) Acc@1: 56.7308 (63.4409)Acc@5: 98.0769 (98.3871) +2024-12-26 15:39:58,384 - train: [ INFO] - Train: 62 [ 0/52 ( 0%)] Loss: 0.481814 (0.4818) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.482s, 86.37/s (1.482s, 86.37/s) LR: 2.043e-04 Data: 1.032 (1.032) +2024-12-26 15:40:17,583 - train: [ INFO] - Train: 62 [ 50/52 ( 98%)] Loss: 0.471828 (0.4768) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.04/s (0.405s, 316.23/s) LR: 2.043e-04 Data: 0.000 (0.021) +2024-12-26 15:40:17,965 - train: [ INFO] - Train: 62 [ 51/52 (100%)] Loss: 0.493953 (0.4825) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.58/s (0.404s, 316.62/s) LR: 2.043e-04 Data: 0.000 (0.021) +2024-12-26 15:40:19,486 - train: [ INFO] - Eval : 62 Time: 1.285 (1.285) Loss: 0.9140 (0.9140) Acc@1: 65.6250 (65.6250)Acc@5: 100.0000 (100.0000) +2024-12-26 15:40:20,211 - train: [ INFO] - Eval : 62 Time: 0.136 (0.335) Loss: 0.7974 (0.9229) Acc@1: 73.0769 (68.2796)Acc@5: 99.0385 (99.1935) +2024-12-26 15:40:20,901 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-62.pth.tar', 68.27957046672861) + +2024-12-26 15:40:22,979 - train: [ INFO] - Train: 63 [ 0/52 ( 0%)] Loss: 0.516163 (0.5162) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 2.066s, 61.95/s (2.066s, 61.95/s) LR: 1.954e-04 Data: 1.625 (1.625) +2024-12-26 15:40:42,205 - train: [ INFO] - Train: 63 [ 50/52 ( 98%)] Loss: 0.478942 (0.4976) Acc@1: 99.2188 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.74/s (0.417s, 307.08/s) LR: 1.954e-04 Data: 0.000 (0.033) +2024-12-26 15:40:42,585 - train: [ INFO] - Train: 63 [ 51/52 (100%)] Loss: 0.464931 (0.4867) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.99/s (0.416s, 307.64/s) LR: 1.954e-04 Data: 0.000 (0.032) +2024-12-26 15:40:43,965 - train: [ INFO] - Eval : 63 Time: 1.168 (1.168) Loss: 0.9417 (0.9417) Acc@1: 70.3125 (70.3125)Acc@5: 97.6562 (97.6562) +2024-12-26 15:40:44,666 - train: [ INFO] - Eval : 63 Time: 0.133 (0.311) Loss: 0.9602 (0.9830) Acc@1: 67.3077 (66.5323)Acc@5: 97.1154 (98.2527) +2024-12-26 15:40:47,979 - train: [ INFO] - Train: 64 [ 0/52 ( 0%)] Loss: 0.510408 (0.5104) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.898s, 67.44/s (1.898s, 67.44/s) LR: 1.866e-04 Data: 1.452 (1.452) +2024-12-26 15:41:07,111 - train: [ INFO] - Train: 64 [ 50/52 ( 98%)] Loss: 0.480591 (0.4955) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.381s, 335.81/s (0.412s, 311.01/s) LR: 1.866e-04 Data: 0.000 (0.029) +2024-12-26 15:41:07,510 - train: [ INFO] - Train: 64 [ 51/52 (100%)] Loss: 0.479950 (0.4903) Acc@1: 99.2188 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.395s, 323.91/s (0.411s, 311.25/s) LR: 1.866e-04 Data: 0.000 (0.029) +2024-12-26 15:41:08,881 - train: [ INFO] - Eval : 64 Time: 1.174 (1.174) Loss: 0.9494 (0.9494) Acc@1: 67.9688 (67.9688)Acc@5: 98.4375 (98.4375) +2024-12-26 15:41:09,575 - train: [ INFO] - Eval : 64 Time: 0.131 (0.311) Loss: 0.9550 (0.9892) Acc@1: 70.1923 (66.9355)Acc@5: 98.0769 (98.3871) +2024-12-26 15:41:12,467 - train: [ INFO] - Train: 65 [ 0/52 ( 0%)] Loss: 0.468477 (0.4685) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.230s, 57.40/s (2.230s, 57.40/s) LR: 1.779e-04 Data: 1.816 (1.816) +2024-12-26 15:41:31,653 - train: [ INFO] - Train: 65 [ 50/52 ( 98%)] Loss: 0.479342 (0.4739) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.29/s (0.419s, 305.47/s) LR: 1.779e-04 Data: 0.000 (0.037) +2024-12-26 15:41:32,031 - train: [ INFO] - Train: 65 [ 51/52 (100%)] Loss: 0.486794 (0.4782) Acc@1: 98.4375 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.26/s (0.418s, 306.10/s) LR: 1.779e-04 Data: 0.000 (0.036) +2024-12-26 15:41:33,594 - train: [ INFO] - Eval : 65 Time: 1.297 (1.297) Loss: 1.2260 (1.2260) Acc@1: 61.7188 (61.7188)Acc@5: 96.8750 (96.8750) +2024-12-26 15:41:34,290 - train: [ INFO] - Eval : 65 Time: 0.131 (0.332) Loss: 1.1397 (1.1026) Acc@1: 63.4615 (63.8441)Acc@5: 94.2308 (97.0430) +2024-12-26 15:41:37,048 - train: [ INFO] - Train: 66 [ 0/52 ( 0%)] Loss: 0.464524 (0.4645) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.074s, 61.72/s (2.074s, 61.72/s) LR: 1.694e-04 Data: 1.642 (1.642) +2024-12-26 15:41:56,349 - train: [ INFO] - Train: 66 [ 50/52 ( 98%)] Loss: 0.456431 (0.4605) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.46/s (0.418s, 305.99/s) LR: 1.694e-04 Data: 0.000 (0.033) +2024-12-26 15:41:56,725 - train: [ INFO] - Train: 66 [ 51/52 (100%)] Loss: 0.473037 (0.4647) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.373s, 342.90/s (0.417s, 306.63/s) LR: 1.694e-04 Data: 0.000 (0.033) +2024-12-26 15:41:58,435 - train: [ INFO] - Eval : 66 Time: 1.492 (1.492) Loss: 1.1022 (1.1022) Acc@1: 64.8438 (64.8438)Acc@5: 100.0000 (100.0000) +2024-12-26 15:41:59,156 - train: [ INFO] - Eval : 66 Time: 0.130 (0.369) Loss: 1.1110 (1.0409) Acc@1: 60.5769 (64.7849)Acc@5: 98.0769 (98.9247) +2024-12-26 15:42:02,304 - train: [ INFO] - Train: 67 [ 0/52 ( 0%)] Loss: 0.468227 (0.4682) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.190s, 58.46/s (2.190s, 58.46/s) LR: 1.610e-04 Data: 1.755 (1.755) +2024-12-26 15:42:21,477 - train: [ INFO] - Train: 67 [ 50/52 ( 98%)] Loss: 0.473273 (0.4707) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.373s, 342.84/s (0.418s, 306.23/s) LR: 1.610e-04 Data: 0.000 (0.036) +2024-12-26 15:42:21,881 - train: [ INFO] - Train: 67 [ 51/52 (100%)] Loss: 0.462773 (0.4681) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.63/s (0.417s, 306.84/s) LR: 1.610e-04 Data: 0.000 (0.035) +2024-12-26 15:42:23,598 - train: [ INFO] - Eval : 67 Time: 1.402 (1.402) Loss: 1.1278 (1.1278) Acc@1: 60.1562 (60.1562)Acc@5: 98.4375 (98.4375) +2024-12-26 15:42:24,305 - train: [ INFO] - Eval : 67 Time: 0.132 (0.351) Loss: 1.0897 (1.1165) Acc@1: 67.3077 (63.8441)Acc@5: 99.0385 (98.1183) +2024-12-26 15:42:26,822 - train: [ INFO] - Train: 68 [ 0/52 ( 0%)] Loss: 0.464010 (0.4640) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.704s, 75.11/s (1.704s, 75.11/s) LR: 1.527e-04 Data: 1.259 (1.259) +2024-12-26 15:42:46,060 - train: [ INFO] - Train: 68 [ 50/52 ( 98%)] Loss: 0.484474 (0.4742) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.381s, 336.34/s (0.409s, 313.21/s) LR: 1.527e-04 Data: 0.000 (0.026) +2024-12-26 15:42:46,439 - train: [ INFO] - Train: 68 [ 51/52 (100%)] Loss: 0.468755 (0.4724) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.65/s (0.408s, 313.68/s) LR: 1.527e-04 Data: 0.000 (0.025) +2024-12-26 15:42:48,067 - train: [ INFO] - Eval : 68 Time: 1.310 (1.310) Loss: 0.9799 (0.9799) Acc@1: 64.8438 (64.8438)Acc@5: 99.2188 (99.2188) +2024-12-26 15:42:48,801 - train: [ INFO] - Eval : 68 Time: 0.131 (0.341) Loss: 1.1096 (0.9922) Acc@1: 63.4615 (66.2634)Acc@5: 98.0769 (98.3871) +2024-12-26 15:42:51,663 - train: [ INFO] - Train: 69 [ 0/52 ( 0%)] Loss: 0.473820 (0.4738) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.931s, 66.29/s (1.931s, 66.29/s) LR: 1.447e-04 Data: 1.485 (1.485) +2024-12-26 15:43:10,976 - train: [ INFO] - Train: 69 [ 50/52 ( 98%)] Loss: 0.468107 (0.4710) Acc@1: 100.0000 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.383s, 333.92/s (0.415s, 308.24/s) LR: 1.447e-04 Data: 0.000 (0.030) +2024-12-26 15:43:11,365 - train: [ INFO] - Train: 69 [ 51/52 (100%)] Loss: 0.473331 (0.4718) Acc@1: 98.4375 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.53/s (0.415s, 308.66/s) LR: 1.447e-04 Data: 0.000 (0.030) +2024-12-26 15:43:12,891 - train: [ INFO] - Eval : 69 Time: 1.297 (1.297) Loss: 1.1622 (1.1622) Acc@1: 60.1562 (60.1562)Acc@5: 96.8750 (96.8750) +2024-12-26 15:43:13,662 - train: [ INFO] - Eval : 69 Time: 0.137 (0.345) Loss: 0.9466 (0.9807) Acc@1: 67.3077 (66.2634)Acc@5: 100.0000 (98.3871) +2024-12-26 15:43:15,823 - train: [ INFO] - Train: 70 [ 0/52 ( 0%)] Loss: 0.493344 (0.4933) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.459s, 87.76/s (1.459s, 87.76/s) LR: 1.368e-04 Data: 1.034 (1.034) +2024-12-26 15:43:35,092 - train: [ INFO] - Train: 70 [ 50/52 ( 98%)] Loss: 0.472804 (0.4831) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.77/s (0.406s, 315.51/s) LR: 1.368e-04 Data: 0.000 (0.021) +2024-12-26 15:43:35,477 - train: [ INFO] - Train: 70 [ 51/52 (100%)] Loss: 0.480668 (0.4823) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.04/s (0.405s, 315.87/s) LR: 1.368e-04 Data: 0.000 (0.021) +2024-12-26 15:43:36,981 - train: [ INFO] - Eval : 70 Time: 1.270 (1.270) Loss: 0.9420 (0.9420) Acc@1: 65.6250 (65.6250)Acc@5: 100.0000 (100.0000) +2024-12-26 15:43:37,735 - train: [ INFO] - Eval : 70 Time: 0.164 (0.337) Loss: 0.8713 (0.9274) Acc@1: 67.3077 (68.0108)Acc@5: 99.0385 (98.9247) +2024-12-26 15:43:39,860 - train: [ INFO] - Train: 71 [ 0/52 ( 0%)] Loss: 0.465905 (0.4659) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.497s, 85.53/s (1.497s, 85.53/s) LR: 1.290e-04 Data: 1.111 (1.111) +2024-12-26 15:43:59,203 - train: [ INFO] - Train: 71 [ 50/52 ( 98%)] Loss: 0.467842 (0.4669) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.85/s (0.408s, 313.79/s) LR: 1.290e-04 Data: 0.000 (0.023) +2024-12-26 15:43:59,585 - train: [ INFO] - Train: 71 [ 51/52 (100%)] Loss: 0.484064 (0.4726) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.51/s (0.407s, 314.24/s) LR: 1.290e-04 Data: 0.000 (0.022) +2024-12-26 15:44:01,032 - train: [ INFO] - Eval : 71 Time: 1.225 (1.225) Loss: 0.9328 (0.9328) Acc@1: 64.0625 (64.0625)Acc@5: 99.2188 (99.2188) +2024-12-26 15:44:01,767 - train: [ INFO] - Eval : 71 Time: 0.158 (0.327) Loss: 0.9146 (0.9448) Acc@1: 70.1923 (66.9355)Acc@5: 99.0385 (98.3871) +2024-12-26 15:44:03,815 - train: [ INFO] - Train: 72 [ 0/52 ( 0%)] Loss: 0.472201 (0.4722) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.375s, 93.10/s (1.375s, 93.10/s) LR: 1.215e-04 Data: 0.976 (0.976) +2024-12-26 15:44:23,082 - train: [ INFO] - Train: 72 [ 50/52 ( 98%)] Loss: 0.472574 (0.4724) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.44/s (0.403s, 317.45/s) LR: 1.215e-04 Data: 0.001 (0.020) +2024-12-26 15:44:23,461 - train: [ INFO] - Train: 72 [ 51/52 (100%)] Loss: 0.454508 (0.4664) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.59/s (0.403s, 317.88/s) LR: 1.215e-04 Data: 0.000 (0.020) +2024-12-26 15:44:24,956 - train: [ INFO] - Eval : 72 Time: 1.284 (1.284) Loss: 1.0023 (1.0023) Acc@1: 61.7188 (61.7188)Acc@5: 98.4375 (98.4375) +2024-12-26 15:44:25,716 - train: [ INFO] - Eval : 72 Time: 0.158 (0.341) Loss: 1.2730 (1.1212) Acc@1: 55.7692 (61.6935)Acc@5: 97.1154 (98.3871) +2024-12-26 15:44:27,895 - train: [ INFO] - Train: 73 [ 0/52 ( 0%)] Loss: 0.462911 (0.4629) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.537s, 83.27/s (1.537s, 83.27/s) LR: 1.141e-04 Data: 1.105 (1.105) +2024-12-26 15:44:47,053 - train: [ INFO] - Train: 73 [ 50/52 ( 98%)] Loss: 0.450269 (0.4566) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.54/s (0.405s, 316.11/s) LR: 1.141e-04 Data: 0.000 (0.023) +2024-12-26 15:44:47,435 - train: [ INFO] - Train: 73 [ 51/52 (100%)] Loss: 0.481546 (0.4649) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.76/s (0.404s, 316.50/s) LR: 1.141e-04 Data: 0.000 (0.022) +2024-12-26 15:44:48,990 - train: [ INFO] - Eval : 73 Time: 1.298 (1.298) Loss: 0.8799 (0.8799) Acc@1: 68.7500 (68.7500)Acc@5: 98.4375 (98.4375) +2024-12-26 15:44:49,689 - train: [ INFO] - Eval : 73 Time: 0.134 (0.332) Loss: 1.0043 (0.9467) Acc@1: 67.3077 (66.8011)Acc@5: 98.0769 (98.7903) +2024-12-26 15:44:51,868 - train: [ INFO] - Train: 74 [ 0/52 ( 0%)] Loss: 0.461580 (0.4616) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.476s, 86.72/s (1.476s, 86.72/s) LR: 1.070e-04 Data: 1.037 (1.037) +2024-12-26 15:45:11,058 - train: [ INFO] - Train: 74 [ 50/52 ( 98%)] Loss: 0.454547 (0.4581) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.372s, 344.41/s (0.405s, 316.35/s) LR: 1.070e-04 Data: 0.000 (0.021) +2024-12-26 15:45:11,442 - train: [ INFO] - Train: 74 [ 51/52 (100%)] Loss: 0.466235 (0.4608) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.381s, 335.65/s (0.404s, 316.70/s) LR: 1.070e-04 Data: 0.000 (0.021) +2024-12-26 15:45:12,982 - train: [ INFO] - Eval : 74 Time: 1.304 (1.304) Loss: 0.8753 (0.8753) Acc@1: 71.0938 (71.0938)Acc@5: 97.6562 (97.6562) +2024-12-26 15:45:13,722 - train: [ INFO] - Eval : 74 Time: 0.134 (0.341) Loss: 0.9904 (1.0137) Acc@1: 68.2692 (65.9946)Acc@5: 100.0000 (98.7903) +2024-12-26 15:45:16,450 - train: [ INFO] - Train: 75 [ 0/52 ( 0%)] Loss: 0.473453 (0.4735) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.598s, 80.12/s (1.598s, 80.12/s) LR: 1.001e-04 Data: 1.145 (1.145) +2024-12-26 15:45:35,621 - train: [ INFO] - Train: 75 [ 50/52 ( 98%)] Loss: 0.470601 (0.4720) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.57/s (0.406s, 315.02/s) LR: 1.001e-04 Data: 0.000 (0.023) +2024-12-26 15:45:35,997 - train: [ INFO] - Train: 75 [ 51/52 (100%)] Loss: 0.465933 (0.4700) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.373s, 343.17/s (0.406s, 315.52/s) LR: 1.001e-04 Data: 0.000 (0.023) +2024-12-26 15:45:37,781 - train: [ INFO] - Eval : 75 Time: 1.503 (1.503) Loss: 1.1274 (1.1274) Acc@1: 62.5000 (62.5000)Acc@5: 98.4375 (98.4375) +2024-12-26 15:45:38,519 - train: [ INFO] - Eval : 75 Time: 0.148 (0.374) Loss: 1.1131 (1.0100) Acc@1: 67.3077 (65.5914)Acc@5: 96.1538 (97.8495) +2024-12-26 15:45:41,200 - train: [ INFO] - Train: 76 [ 0/52 ( 0%)] Loss: 0.467524 (0.4675) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.616s, 79.22/s (1.616s, 79.22/s) LR: 9.334e-05 Data: 1.147 (1.147) +2024-12-26 15:46:00,466 - train: [ INFO] - Train: 76 [ 50/52 ( 98%)] Loss: 0.468713 (0.4681) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.71/s (0.408s, 313.53/s) LR: 9.334e-05 Data: 0.000 (0.024) +2024-12-26 15:46:00,847 - train: [ INFO] - Train: 76 [ 51/52 (100%)] Loss: 0.481501 (0.4726) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.93/s (0.408s, 313.97/s) LR: 9.334e-05 Data: 0.000 (0.024) +2024-12-26 15:46:02,479 - train: [ INFO] - Eval : 76 Time: 1.365 (1.365) Loss: 0.9772 (0.9772) Acc@1: 66.4062 (66.4062)Acc@5: 97.6562 (97.6562) +2024-12-26 15:46:03,195 - train: [ INFO] - Eval : 76 Time: 0.143 (0.349) Loss: 1.0196 (0.9669) Acc@1: 68.2692 (68.1452)Acc@5: 98.0769 (98.2527) +2024-12-26 15:46:05,843 - train: [ INFO] - Train: 77 [ 0/52 ( 0%)] Loss: 0.476607 (0.4766) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.417s, 90.30/s (1.417s, 90.30/s) LR: 8.684e-05 Data: 0.948 (0.948) +2024-12-26 15:46:25,141 - train: [ INFO] - Train: 77 [ 50/52 ( 98%)] Loss: 0.467977 (0.4723) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.381s, 335.63/s (0.405s, 315.85/s) LR: 8.684e-05 Data: 0.000 (0.020) +2024-12-26 15:46:25,524 - train: [ INFO] - Train: 77 [ 51/52 (100%)] Loss: 0.453884 (0.4662) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.380s, 337.06/s (0.405s, 316.23/s) LR: 8.684e-05 Data: 0.000 (0.020) +2024-12-26 15:46:27,077 - train: [ INFO] - Eval : 77 Time: 1.309 (1.309) Loss: 0.8976 (0.8976) Acc@1: 68.7500 (68.7500)Acc@5: 98.4375 (98.4375) +2024-12-26 15:46:27,866 - train: [ INFO] - Eval : 77 Time: 0.137 (0.350) Loss: 1.0333 (0.9428) Acc@1: 64.4231 (68.2796)Acc@5: 100.0000 (98.2527) +2024-12-26 15:46:30,953 - train: [ INFO] - Train: 78 [ 0/52 ( 0%)] Loss: 0.455154 (0.4552) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.566s, 81.72/s (1.566s, 81.72/s) LR: 8.057e-05 Data: 1.136 (1.136) +2024-12-26 15:46:50,244 - train: [ INFO] - Train: 78 [ 50/52 ( 98%)] Loss: 0.473485 (0.4643) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.401s, 319.52/s (0.408s, 313.65/s) LR: 8.057e-05 Data: 0.000 (0.023) +2024-12-26 15:46:50,626 - train: [ INFO] - Train: 78 [ 51/52 (100%)] Loss: 0.474904 (0.4678) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.374s, 341.96/s (0.407s, 314.15/s) LR: 8.057e-05 Data: 0.000 (0.023) +2024-12-26 15:46:51,991 - train: [ INFO] - Eval : 78 Time: 1.166 (1.166) Loss: 1.0824 (1.0824) Acc@1: 62.5000 (62.5000)Acc@5: 97.6562 (97.6562) +2024-12-26 15:46:52,726 - train: [ INFO] - Eval : 78 Time: 0.136 (0.317) Loss: 1.0150 (0.9402) Acc@1: 63.4615 (67.3387)Acc@5: 100.0000 (98.5215) +2024-12-26 15:46:54,852 - train: [ INFO] - Train: 79 [ 0/52 ( 0%)] Loss: 0.475532 (0.4755) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.491s, 85.87/s (1.491s, 85.87/s) LR: 7.453e-05 Data: 1.051 (1.051) +2024-12-26 15:47:14,219 - train: [ INFO] - Train: 79 [ 50/52 ( 98%)] Loss: 0.466503 (0.4710) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.75/s (0.408s, 313.80/s) LR: 7.453e-05 Data: 0.000 (0.022) +2024-12-26 15:47:14,597 - train: [ INFO] - Train: 79 [ 51/52 (100%)] Loss: 0.460426 (0.4675) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.37/s (0.407s, 314.29/s) LR: 7.453e-05 Data: 0.000 (0.021) +2024-12-26 15:47:16,011 - train: [ INFO] - Eval : 79 Time: 1.237 (1.237) Loss: 0.9366 (0.9366) Acc@1: 66.4062 (66.4062)Acc@5: 99.2188 (99.2188) +2024-12-26 15:47:16,790 - train: [ INFO] - Eval : 79 Time: 0.179 (0.336) Loss: 0.9410 (0.9191) Acc@1: 71.1538 (69.0860)Acc@5: 97.1154 (98.1183) +2024-12-26 15:47:17,472 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-79.pth.tar', 69.08602158741284) + +2024-12-26 15:47:18,965 - train: [ INFO] - Train: 80 [ 0/52 ( 0%)] Loss: 0.481565 (0.4816) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.479s, 86.57/s (1.479s, 86.57/s) LR: 6.873e-05 Data: 1.081 (1.081) +2024-12-26 15:47:38,133 - train: [ INFO] - Train: 80 [ 50/52 ( 98%)] Loss: 0.471121 (0.4763) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.381s, 335.71/s (0.404s, 316.84/s) LR: 6.873e-05 Data: 0.000 (0.022) +2024-12-26 15:47:38,511 - train: [ INFO] - Train: 80 [ 51/52 (100%)] Loss: 0.445312 (0.4660) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.22/s (0.403s, 317.28/s) LR: 6.873e-05 Data: 0.000 (0.022) +2024-12-26 15:47:39,942 - train: [ INFO] - Eval : 80 Time: 1.232 (1.232) Loss: 1.0970 (1.0970) Acc@1: 63.2812 (63.2812)Acc@5: 99.2188 (99.2188) +2024-12-26 15:47:40,693 - train: [ INFO] - Eval : 80 Time: 0.142 (0.330) Loss: 0.8925 (0.9503) Acc@1: 70.1923 (68.8172)Acc@5: 100.0000 (98.6559) +2024-12-26 15:47:42,683 - train: [ INFO] - Train: 81 [ 0/52 ( 0%)] Loss: 0.451047 (0.4510) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.386s, 92.33/s (1.386s, 92.33/s) LR: 6.317e-05 Data: 1.009 (1.009) +2024-12-26 15:48:01,860 - train: [ INFO] - Train: 81 [ 50/52 ( 98%)] Loss: 0.455517 (0.4533) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.77/s (0.402s, 318.31/s) LR: 6.317e-05 Data: 0.000 (0.021) +2024-12-26 15:48:02,241 - train: [ INFO] - Train: 81 [ 51/52 (100%)] Loss: 0.460338 (0.4556) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.378s, 338.92/s (0.402s, 318.68/s) LR: 6.317e-05 Data: 0.000 (0.020) +2024-12-26 15:48:03,661 - train: [ INFO] - Eval : 81 Time: 1.252 (1.252) Loss: 0.8491 (0.8491) Acc@1: 71.0938 (71.0938)Acc@5: 98.4375 (98.4375) +2024-12-26 15:48:04,341 - train: [ INFO] - Eval : 81 Time: 0.130 (0.322) Loss: 0.8005 (0.9354) Acc@1: 74.0385 (66.9355)Acc@5: 99.0385 (98.9247) +2024-12-26 15:48:06,697 - train: [ INFO] - Train: 82 [ 0/52 ( 0%)] Loss: 0.451094 (0.4511) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.663s, 76.96/s (1.663s, 76.96/s) LR: 5.787e-05 Data: 1.221 (1.221) +2024-12-26 15:48:25,863 - train: [ INFO] - Train: 82 [ 50/52 ( 98%)] Loss: 0.445909 (0.4485) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.46/s (0.408s, 313.95/s) LR: 5.787e-05 Data: 0.000 (0.025) +2024-12-26 15:48:26,257 - train: [ INFO] - Train: 82 [ 51/52 (100%)] Loss: 0.449494 (0.4488) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.38/s (0.407s, 314.37/s) LR: 5.787e-05 Data: 0.000 (0.024) +2024-12-26 15:48:27,874 - train: [ INFO] - Eval : 82 Time: 1.401 (1.401) Loss: 0.9062 (0.9062) Acc@1: 67.9688 (67.9688)Acc@5: 97.6562 (97.6562) +2024-12-26 15:48:28,567 - train: [ INFO] - Eval : 82 Time: 0.133 (0.349) Loss: 0.8895 (0.9191) Acc@1: 68.2692 (68.6828)Acc@5: 99.0385 (99.0591) +2024-12-26 15:48:30,730 - train: [ INFO] - Train: 83 [ 0/52 ( 0%)] Loss: 0.454263 (0.4543) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.465s, 87.35/s (1.465s, 87.35/s) LR: 5.282e-05 Data: 1.041 (1.041) +2024-12-26 15:48:49,879 - train: [ INFO] - Train: 83 [ 50/52 ( 98%)] Loss: 0.449527 (0.4519) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.98/s (0.403s, 317.41/s) LR: 5.282e-05 Data: 0.000 (0.021) +2024-12-26 15:48:50,255 - train: [ INFO] - Train: 83 [ 51/52 (100%)] Loss: 0.452010 (0.4519) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.373s, 343.12/s (0.403s, 317.86/s) LR: 5.282e-05 Data: 0.000 (0.021) +2024-12-26 15:48:51,701 - train: [ INFO] - Eval : 83 Time: 1.212 (1.212) Loss: 0.8139 (0.8139) Acc@1: 70.3125 (70.3125)Acc@5: 97.6562 (97.6562) +2024-12-26 15:48:52,430 - train: [ INFO] - Eval : 83 Time: 0.138 (0.324) Loss: 0.9411 (0.9398) Acc@1: 66.3462 (68.8172)Acc@5: 100.0000 (97.7151) +2024-12-26 15:48:55,073 - train: [ INFO] - Train: 84 [ 0/52 ( 0%)] Loss: 0.455893 (0.4559) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.601s, 79.97/s (1.601s, 79.97/s) LR: 4.804e-05 Data: 1.150 (1.150) +2024-12-26 15:49:14,174 - train: [ INFO] - Train: 84 [ 50/52 ( 98%)] Loss: 0.465684 (0.4608) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.406s, 315.56/s (0.405s, 316.13/s) LR: 4.804e-05 Data: 0.000 (0.023) +2024-12-26 15:49:14,563 - train: [ INFO] - Train: 84 [ 51/52 (100%)] Loss: 0.462109 (0.4612) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.95/s (0.405s, 316.42/s) LR: 4.804e-05 Data: 0.000 (0.023) +2024-12-26 15:49:16,104 - train: [ INFO] - Eval : 84 Time: 1.356 (1.356) Loss: 0.8615 (0.8615) Acc@1: 69.5312 (69.5312)Acc@5: 100.0000 (100.0000) +2024-12-26 15:49:16,832 - train: [ INFO] - Eval : 84 Time: 0.129 (0.347) Loss: 0.8286 (0.9137) Acc@1: 74.0385 (69.3548)Acc@5: 100.0000 (99.0591) +2024-12-26 15:49:17,926 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-84.pth.tar', 69.35483953004243) + +2024-12-26 15:49:19,664 - train: [ INFO] - Train: 85 [ 0/52 ( 0%)] Loss: 0.455707 (0.4557) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.717s, 74.56/s (1.717s, 74.56/s) LR: 4.352e-05 Data: 1.265 (1.265) +2024-12-26 15:49:38,882 - train: [ INFO] - Train: 85 [ 50/52 ( 98%)] Loss: 0.475162 (0.4654) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.28/s (0.410s, 312.30/s) LR: 4.352e-05 Data: 0.000 (0.026) +2024-12-26 15:49:39,260 - train: [ INFO] - Train: 85 [ 51/52 (100%)] Loss: 0.457876 (0.4629) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.40/s (0.409s, 312.81/s) LR: 4.352e-05 Data: 0.000 (0.025) +2024-12-26 15:49:40,864 - train: [ INFO] - Eval : 85 Time: 1.375 (1.375) Loss: 1.1023 (1.1023) Acc@1: 62.5000 (62.5000)Acc@5: 98.4375 (98.4375) +2024-12-26 15:49:41,540 - train: [ INFO] - Eval : 85 Time: 0.130 (0.342) Loss: 0.7519 (0.9278) Acc@1: 71.1538 (67.7419)Acc@5: 100.0000 (98.6559) +2024-12-26 15:49:44,224 - train: [ INFO] - Train: 86 [ 0/52 ( 0%)] Loss: 0.453890 (0.4539) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.595s, 80.26/s (1.595s, 80.26/s) LR: 3.927e-05 Data: 1.144 (1.144) +2024-12-26 15:50:03,442 - train: [ INFO] - Train: 86 [ 50/52 ( 98%)] Loss: 0.449975 (0.4519) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.410s, 312.35/s (0.407s, 314.40/s) LR: 3.927e-05 Data: 0.000 (0.024) +2024-12-26 15:50:03,830 - train: [ INFO] - Train: 86 [ 51/52 (100%)] Loss: 0.453131 (0.4523) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.09/s (0.407s, 314.72/s) LR: 3.927e-05 Data: 0.000 (0.023) +2024-12-26 15:50:05,891 - train: [ INFO] - Eval : 86 Time: 1.846 (1.846) Loss: 0.8195 (0.8195) Acc@1: 73.4375 (73.4375)Acc@5: 99.2188 (99.2188) +2024-12-26 15:50:06,610 - train: [ INFO] - Eval : 86 Time: 0.131 (0.427) Loss: 0.8851 (0.9002) Acc@1: 69.2308 (69.3548)Acc@5: 100.0000 (98.9247) +2024-12-26 15:50:09,137 - train: [ INFO] - Train: 87 [ 0/52 ( 0%)] Loss: 0.456082 (0.4561) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.827s, 70.05/s (1.827s, 70.05/s) LR: 3.529e-05 Data: 1.415 (1.415) +2024-12-26 15:50:28,328 - train: [ INFO] - Train: 87 [ 50/52 ( 98%)] Loss: 0.448271 (0.4522) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.69/s (0.411s, 311.28/s) LR: 3.529e-05 Data: 0.000 (0.029) +2024-12-26 15:50:28,736 - train: [ INFO] - Train: 87 [ 51/52 (100%)] Loss: 0.460086 (0.4548) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.67/s (0.411s, 311.55/s) LR: 3.529e-05 Data: 0.000 (0.029) +2024-12-26 15:50:30,289 - train: [ INFO] - Eval : 87 Time: 1.325 (1.325) Loss: 0.8651 (0.8651) Acc@1: 67.9688 (67.9688)Acc@5: 97.6562 (97.6562) +2024-12-26 15:50:31,037 - train: [ INFO] - Eval : 87 Time: 0.153 (0.346) Loss: 0.8040 (0.8880) Acc@1: 71.1538 (68.6828)Acc@5: 99.0385 (98.3871) +2024-12-26 15:50:33,631 - train: [ INFO] - Train: 88 [ 0/52 ( 0%)] Loss: 0.468796 (0.4688) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.903s, 67.27/s (1.903s, 67.27/s) LR: 3.159e-05 Data: 1.424 (1.424) +2024-12-26 15:50:52,890 - train: [ INFO] - Train: 88 [ 50/52 ( 98%)] Loss: 0.461840 (0.4653) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.36/s (0.414s, 309.11/s) LR: 3.159e-05 Data: 0.000 (0.029) +2024-12-26 15:50:53,280 - train: [ INFO] - Train: 88 [ 51/52 (100%)] Loss: 0.443279 (0.4580) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.51/s (0.414s, 309.51/s) LR: 3.159e-05 Data: 0.001 (0.029) +2024-12-26 15:50:54,948 - train: [ INFO] - Eval : 88 Time: 1.413 (1.413) Loss: 1.0451 (1.0451) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 15:50:55,642 - train: [ INFO] - Eval : 88 Time: 0.132 (0.351) Loss: 1.0224 (0.9131) Acc@1: 60.5769 (68.9516)Acc@5: 100.0000 (98.9247) +2024-12-26 15:50:57,766 - train: [ INFO] - Train: 89 [ 0/52 ( 0%)] Loss: 0.463978 (0.4640) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.435s, 89.21/s (1.435s, 89.21/s) LR: 2.818e-05 Data: 1.055 (1.055) +2024-12-26 15:51:17,105 - train: [ INFO] - Train: 89 [ 50/52 ( 98%)] Loss: 0.455249 (0.4596) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.13/s (0.406s, 314.90/s) LR: 2.818e-05 Data: 0.000 (0.022) +2024-12-26 15:51:17,484 - train: [ INFO] - Train: 89 [ 51/52 (100%)] Loss: 0.449949 (0.4564) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.06/s (0.406s, 315.35/s) LR: 2.818e-05 Data: 0.000 (0.021) +2024-12-26 15:51:19,023 - train: [ INFO] - Eval : 89 Time: 1.353 (1.353) Loss: 0.8049 (0.8049) Acc@1: 78.9062 (78.9062)Acc@5: 96.8750 (96.8750) +2024-12-26 15:51:19,739 - train: [ INFO] - Eval : 89 Time: 0.133 (0.345) Loss: 0.8682 (0.9115) Acc@1: 70.1923 (70.2957)Acc@5: 99.0385 (98.1183) +2024-12-26 15:51:20,433 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-89.pth.tar', 70.29569876065818) + +2024-12-26 15:51:21,986 - train: [ INFO] - Train: 90 [ 0/52 ( 0%)] Loss: 0.453670 (0.4537) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.540s, 83.12/s (1.540s, 83.12/s) LR: 2.505e-05 Data: 1.127 (1.127) +2024-12-26 15:51:41,301 - train: [ INFO] - Train: 90 [ 50/52 ( 98%)] Loss: 0.460742 (0.4572) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.22/s (0.408s, 313.70/s) LR: 2.505e-05 Data: 0.000 (0.023) +2024-12-26 15:51:41,681 - train: [ INFO] - Train: 90 [ 51/52 (100%)] Loss: 0.483355 (0.4659) Acc@1: 97.6562 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.378s, 339.05/s (0.407s, 314.15/s) LR: 2.505e-05 Data: 0.000 (0.023) +2024-12-26 15:51:43,381 - train: [ INFO] - Eval : 90 Time: 1.425 (1.425) Loss: 0.8640 (0.8640) Acc@1: 71.0938 (71.0938)Acc@5: 99.2188 (99.2188) +2024-12-26 15:51:44,137 - train: [ INFO] - Eval : 90 Time: 0.159 (0.364) Loss: 0.6942 (0.8893) Acc@1: 75.9615 (70.6989)Acc@5: 99.0385 (98.5215) +2024-12-26 15:51:44,857 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-90.pth.tar', 70.6989249772923) + +2024-12-26 15:51:47,096 - train: [ INFO] - Train: 91 [ 0/52 ( 0%)] Loss: 0.473248 (0.4732) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.200s, 58.18/s (2.200s, 58.18/s) LR: 2.221e-05 Data: 1.757 (1.757) +2024-12-26 15:52:06,339 - train: [ INFO] - Train: 91 [ 50/52 ( 98%)] Loss: 0.445824 (0.4595) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.373s, 342.93/s (0.420s, 305.02/s) LR: 2.221e-05 Data: 0.000 (0.036) +2024-12-26 15:52:06,715 - train: [ INFO] - Train: 91 [ 51/52 (100%)] Loss: 0.446563 (0.4552) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.373s, 343.59/s (0.419s, 305.68/s) LR: 2.221e-05 Data: 0.000 (0.035) +2024-12-26 15:52:08,254 - train: [ INFO] - Eval : 91 Time: 1.321 (1.321) Loss: 1.1274 (1.1274) Acc@1: 62.5000 (62.5000)Acc@5: 99.2188 (99.2188) +2024-12-26 15:52:08,973 - train: [ INFO] - Eval : 91 Time: 0.141 (0.340) Loss: 0.7392 (0.9165) Acc@1: 76.9231 (70.1613)Acc@5: 99.0385 (98.2527) +2024-12-26 15:52:11,185 - train: [ INFO] - Train: 92 [ 0/52 ( 0%)] Loss: 0.465037 (0.4650) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.552s, 82.45/s (1.552s, 82.45/s) LR: 1.966e-05 Data: 1.130 (1.130) +2024-12-26 15:52:30,356 - train: [ INFO] - Train: 92 [ 50/52 ( 98%)] Loss: 0.484402 (0.4747) Acc@1: 97.6562 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.46/s (0.406s, 315.53/s) LR: 1.966e-05 Data: 0.000 (0.023) +2024-12-26 15:52:30,735 - train: [ INFO] - Train: 92 [ 51/52 (100%)] Loss: 0.457062 (0.4688) Acc@1: 100.0000 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.51/s (0.405s, 315.97/s) LR: 1.966e-05 Data: 0.000 (0.023) +2024-12-26 15:52:33,195 - train: [ INFO] - Eval : 92 Time: 2.216 (2.216) Loss: 0.8667 (0.8667) Acc@1: 73.4375 (73.4375)Acc@5: 98.4375 (98.4375) +2024-12-26 15:52:33,911 - train: [ INFO] - Eval : 92 Time: 0.130 (0.489) Loss: 0.8719 (0.8967) Acc@1: 70.1923 (68.5484)Acc@5: 98.0769 (98.2527) +2024-12-26 15:52:36,198 - train: [ INFO] - Train: 93 [ 0/52 ( 0%)] Loss: 0.461315 (0.4613) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.602s, 79.90/s (1.602s, 79.90/s) LR: 1.741e-05 Data: 1.180 (1.180) +2024-12-26 15:52:55,393 - train: [ INFO] - Train: 93 [ 50/52 ( 98%)] Loss: 0.446945 (0.4541) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.08/s (0.407s, 314.56/s) LR: 1.741e-05 Data: 0.000 (0.024) +2024-12-26 15:52:55,846 - train: [ INFO] - Train: 93 [ 51/52 (100%)] Loss: 0.445157 (0.4511) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.383s, 334.08/s (0.406s, 314.92/s) LR: 1.741e-05 Data: 0.000 (0.024) +2024-12-26 15:52:58,058 - train: [ INFO] - Eval : 93 Time: 1.922 (1.922) Loss: 0.8488 (0.8488) Acc@1: 69.5312 (69.5312)Acc@5: 99.2188 (99.2188) +2024-12-26 15:52:58,868 - train: [ INFO] - Eval : 93 Time: 0.160 (0.455) Loss: 0.7775 (0.8804) Acc@1: 74.0385 (70.2957)Acc@5: 98.0769 (98.5215) +2024-12-26 15:53:02,019 - train: [ INFO] - Train: 94 [ 0/52 ( 0%)] Loss: 0.462656 (0.4627) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.080s, 61.55/s (2.080s, 61.55/s) LR: 1.545e-05 Data: 1.659 (1.659) +2024-12-26 15:53:21,134 - train: [ INFO] - Train: 94 [ 50/52 ( 98%)] Loss: 0.472981 (0.4678) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.382s, 335.21/s (0.415s, 308.45/s) LR: 1.545e-05 Data: 0.000 (0.033) +2024-12-26 15:53:21,518 - train: [ INFO] - Train: 94 [ 51/52 (100%)] Loss: 0.455543 (0.4637) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.380s, 336.72/s (0.414s, 308.95/s) LR: 1.545e-05 Data: 0.000 (0.033) +2024-12-26 15:53:24,196 - train: [ INFO] - Eval : 94 Time: 2.436 (2.436) Loss: 0.9765 (0.9765) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 15:53:24,917 - train: [ INFO] - Eval : 94 Time: 0.131 (0.526) Loss: 0.8250 (0.9107) Acc@1: 73.0769 (70.0269)Acc@5: 98.0769 (98.2527) +2024-12-26 15:53:27,727 - train: [ INFO] - Train: 95 [ 0/52 ( 0%)] Loss: 0.455318 (0.4553) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.107s, 60.76/s (2.107s, 60.76/s) LR: 1.379e-05 Data: 1.664 (1.664) +2024-12-26 15:53:46,879 - train: [ INFO] - Train: 95 [ 50/52 ( 98%)] Loss: 0.458308 (0.4568) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.96/s (0.416s, 307.92/s) LR: 1.379e-05 Data: 0.000 (0.033) +2024-12-26 15:53:47,255 - train: [ INFO] - Train: 95 [ 51/52 (100%)] Loss: 0.452663 (0.4554) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.21/s (0.415s, 308.52/s) LR: 1.379e-05 Data: 0.000 (0.033) +2024-12-26 15:53:49,091 - train: [ INFO] - Eval : 95 Time: 1.632 (1.632) Loss: 0.9482 (0.9482) Acc@1: 65.6250 (65.6250)Acc@5: 98.4375 (98.4375) +2024-12-26 15:53:49,785 - train: [ INFO] - Eval : 95 Time: 0.133 (0.388) Loss: 0.8867 (0.9119) Acc@1: 75.0000 (69.3548)Acc@5: 96.1538 (98.5215) +2024-12-26 15:53:53,412 - train: [ INFO] - Train: 96 [ 0/52 ( 0%)] Loss: 0.452130 (0.4521) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.995s, 64.16/s (1.995s, 64.16/s) LR: 1.242e-05 Data: 1.584 (1.584) +2024-12-26 15:54:12,565 - train: [ INFO] - Train: 96 [ 50/52 ( 98%)] Loss: 0.448502 (0.4503) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.370s, 345.49/s (0.414s, 309.30/s) LR: 1.242e-05 Data: 0.000 (0.032) +2024-12-26 15:54:13,011 - train: [ INFO] - Train: 96 [ 51/52 (100%)] Loss: 0.455107 (0.4519) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.43/s (0.413s, 309.84/s) LR: 1.242e-05 Data: 0.000 (0.032) +2024-12-26 15:54:14,511 - train: [ INFO] - Eval : 96 Time: 1.294 (1.294) Loss: 0.8989 (0.8989) Acc@1: 71.0938 (71.0938)Acc@5: 99.2188 (99.2188) +2024-12-26 15:54:15,225 - train: [ INFO] - Eval : 96 Time: 0.136 (0.335) Loss: 0.8049 (0.9413) Acc@1: 73.0769 (68.0108)Acc@5: 99.0385 (99.0591) +2024-12-26 15:54:17,609 - train: [ INFO] - Train: 97 [ 0/52 ( 0%)] Loss: 0.451207 (0.4512) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.667s, 76.76/s (1.667s, 76.76/s) LR: 1.136e-05 Data: 1.223 (1.223) +2024-12-26 15:54:36,819 - train: [ INFO] - Train: 97 [ 50/52 ( 98%)] Loss: 0.446390 (0.4488) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.374s, 342.29/s (0.408s, 313.64/s) LR: 1.136e-05 Data: 0.000 (0.025) +2024-12-26 15:54:37,212 - train: [ INFO] - Train: 97 [ 51/52 (100%)] Loss: 0.469196 (0.4556) Acc@1: 98.4375 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.390s, 328.15/s (0.408s, 313.91/s) LR: 1.136e-05 Data: 0.000 (0.025) +2024-12-26 15:54:38,801 - train: [ INFO] - Eval : 97 Time: 1.359 (1.359) Loss: 1.0423 (1.0423) Acc@1: 61.7188 (61.7188)Acc@5: 98.4375 (98.4375) +2024-12-26 15:54:39,509 - train: [ INFO] - Eval : 97 Time: 0.138 (0.344) Loss: 0.8234 (0.9013) Acc@1: 76.9231 (69.3548)Acc@5: 99.0385 (98.3871) +2024-12-26 15:54:43,115 - train: [ INFO] - Train: 98 [ 0/52 ( 0%)] Loss: 0.472275 (0.4723) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.869s, 68.48/s (1.869s, 68.48/s) LR: 1.061e-05 Data: 1.441 (1.441) +2024-12-26 15:55:02,326 - train: [ INFO] - Train: 98 [ 50/52 ( 98%)] Loss: 0.446211 (0.4592) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.376s, 340.58/s (0.412s, 310.35/s) LR: 1.061e-05 Data: 0.000 (0.029) +2024-12-26 15:55:02,715 - train: [ INFO] - Train: 98 [ 51/52 (100%)] Loss: 0.451142 (0.4565) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.19/s (0.412s, 310.72/s) LR: 1.061e-05 Data: 0.000 (0.029) +2024-12-26 15:55:04,219 - train: [ INFO] - Eval : 98 Time: 1.270 (1.270) Loss: 0.9021 (0.9021) Acc@1: 71.8750 (71.8750)Acc@5: 97.6562 (97.6562) +2024-12-26 15:55:04,906 - train: [ INFO] - Eval : 98 Time: 0.129 (0.326) Loss: 0.8728 (0.9168) Acc@1: 72.1154 (70.2957)Acc@5: 99.0385 (98.9247) +2024-12-26 15:55:07,103 - train: [ INFO] - Train: 99 [ 0/52 ( 0%)] Loss: 0.459372 (0.4594) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.552s, 82.48/s (1.552s, 82.48/s) LR: 1.015e-05 Data: 1.131 (1.131) +2024-12-26 15:55:26,456 - train: [ INFO] - Train: 99 [ 50/52 ( 98%)] Loss: 0.449981 (0.4547) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.380s, 337.06/s (0.409s, 313.20/s) LR: 1.015e-05 Data: 0.000 (0.023) +2024-12-26 15:55:26,833 - train: [ INFO] - Train: 99 [ 51/52 (100%)] Loss: 0.461461 (0.4569) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.374s, 341.93/s (0.408s, 313.71/s) LR: 1.015e-05 Data: 0.000 (0.023) +2024-12-26 15:55:28,210 - train: [ INFO] - Eval : 99 Time: 1.151 (1.151) Loss: 0.8986 (0.8986) Acc@1: 70.3125 (70.3125)Acc@5: 98.4375 (98.4375) +2024-12-26 15:55:28,914 - train: [ INFO] - Eval : 99 Time: 0.134 (0.309) Loss: 1.0549 (0.9221) Acc@1: 66.3462 (69.4892)Acc@5: 98.0769 (98.2527) +2024-12-26 15:55:29,568 - train: [ INFO] - *** Best metric: 70.6989249772923 (epoch 90) + diff --git a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..be972f6762536b1fcd9bc044d7b6927c9340f509 --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:13f96322df09391de67ab3a26af75b64bd0cb19594c570d85200f00048a2c6bb +size 42821305 diff --git a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/summary.csv b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/summary.csv new file mode 100644 index 0000000000000000000000000000000000000000..3f4787fd58c4b5607bd3648e324a3d49f13738f4 --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Spatial-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/summary.csv @@ -0,0 +1,101 @@ +epoch,train_loss,eval_loss,eval_top1 +0,1.801857591,1.793854238,17.33870982 +1,1.632618944,1.549205281,34.13978515 +2,1.475584507,2.265443712,19.89247319 +3,1.372986118,1.603656098,36.9623658 +4,1.453356385,1.676678922,33.6021505 +5,1.360041459,1.356169078,44.89247353 +6,1.329874873,1.572609464,48.52150554 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b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/args.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f55b1564b1dfa457d76a67c62cd65fa7b0c03012 --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/args.yaml @@ -0,0 +1,156 @@ +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptation_info: false +adaptive_node: false +alpha: 1.5 +amp: false +apex_amp: false +attn_method: SpatialTemporal +aug_splits: 0 +batch_size: 128 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +contrastive: true +conv_type: normal +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cross_attn: true +cut_mix: false +cutmix: 0.0 +cutmix_beta: 2.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +dataset: CREMAD +decay_epochs: 30 +decay_rate: 0.1 +device: 0 +dist_bn: '' +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +embed_dims: 256 +encode: direct +epochs: 100 +eval: false +eval_checkpoint: '' +eval_metric: top1 +event_mix: false +event_size: 48 +gaussian_n: 3 +gp: null +hflip: 0.5 +img_size: 224 +initial_checkpoint: '' +interaction: Add +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: false +load_avmodel: false +local_rank: 0 +log_interval: 50 +loss_fn: ce +lr: 0.005 +lr_cycle_limit: 1 +lr_cycle_mul: 1.0 +lr_noise: null +lr_noise_pct: 0.67 +lr_noise_std: 1.0 +mean: null +mem_dist: false +min_lr: 1.0e-05 +mix_up: false +mixup: 0.0 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 0.0 +mixup_switch_prob: 0.5 +modality: audio-visual +model: AVspikformer +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_encode_type: linear +n_groups: 1 +n_preact: false +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +node_resume: '' +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 6 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: ./exp_results +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +rand_step: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 42 +sew_cnf: ADD +shallow_sps: false +sigmoid_thres: false +smoothing: 0.1 +snr: -100 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 4 +suffix: '' +sync_bn: false +tau: 2.0 +temperature: 0.07 +temporal_flatten: false +tensorboard_dir: ./exp_results +tet_loss: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.9 +tsne: false +tta: 0 +use_multi_epochs_loader: false +validation_batch_size_multiplier: 1 +vflip: 0.0 +visualize: false +warmup_epochs: 5 +warmup_lr: 1.0e-06 +weight_decay: 0.0001 +workers: 8 diff --git a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-98.pth.tar b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-98.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..f71924061daecaad1155841a78c3698ec172974a --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-98.pth.tar @@ -0,0 +1,3 @@ +version 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Training in float32. +2024-12-27 12:42:40,329 - train: [ INFO] - Scheduled epochs: 110 +2024-12-27 12:42:45,048 - train: [ INFO] - Train: 0 [ 0/52 ( 0%)] Loss: 2.683399 (2.6834) Acc@1: 31.2500 (31.2500) Acc@5: 87.5000 (87.5000) Time: 4.706s, 27.20/s (4.706s, 27.20/s) LR: 1.000e-06 Data: 0.967 (0.967) +2024-12-27 12:43:06,833 - train: [ INFO] - Train: 0 [ 50/52 ( 98%)] Loss: 2.635266 (2.6593) Acc@1: 25.7812 (28.5156) Acc@5: 82.0312 (84.7656) Time: 0.425s, 301.06/s (0.518s, 247.09/s) LR: 1.000e-06 Data: 0.000 (0.020) +2024-12-27 12:43:07,278 - train: [ INFO] - Train: 0 [ 51/52 (100%)] Loss: 2.645852 (2.6548) Acc@1: 26.5625 (27.8646) Acc@5: 81.2500 (83.5938) Time: 0.442s, 289.51/s (0.517s, 247.79/s) LR: 1.000e-06 Data: 0.000 (0.020) +2024-12-27 12:43:08,748 - train: [ INFO] - Eval : 0 Time: 1.377 (1.377) Loss: 1.7972 (1.7972) Acc@1: 17.9688 (17.9688)Acc@5: 81.2500 (81.2500) +2024-12-27 12:43:09,485 - train: [ INFO] - Eval : 0 Time: 0.123 (0.352) Loss: 1.8161 (1.7923) Acc@1: 16.3462 (22.0430)Acc@5: 77.8846 (83.4677) +2024-12-27 12:43:10,461 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-0.pth.tar', 22.0430109372703) + +2024-12-27 12:43:12,673 - train: [ INFO] - Train: 1 [ 0/52 ( 0%)] Loss: 2.633132 (2.6331) Acc@1: 26.5625 (26.5625) Acc@5: 81.2500 (81.2500) Time: 2.207s, 58.00/s (2.207s, 58.00/s) LR: 1.258e-04 Data: 1.716 (1.716) +2024-12-27 12:43:34,680 - train: [ INFO] - Train: 1 [ 50/52 ( 98%)] Loss: 2.444577 (2.5389) Acc@1: 35.1562 (30.8594) Acc@5: 96.0938 (88.6719) Time: 0.491s, 260.95/s (0.474s, 270.24/s) LR: 1.258e-04 Data: 0.000 (0.036) +2024-12-27 12:43:35,104 - train: [ INFO] - Train: 1 [ 51/52 (100%)] Loss: 2.426626 (2.5014) Acc@1: 35.9375 (32.5521) Acc@5: 98.4375 (91.9271) Time: 0.421s, 304.34/s (0.473s, 270.82/s) LR: 1.258e-04 Data: 0.000 (0.035) +2024-12-27 12:43:37,114 - train: [ INFO] - Eval : 1 Time: 1.822 (1.822) Loss: 1.6250 (1.6250) Acc@1: 30.4688 (30.4688)Acc@5: 95.3125 (95.3125) +2024-12-27 12:43:37,894 - train: [ INFO] - Eval : 1 Time: 0.133 (0.435) Loss: 1.6041 (1.6211) Acc@1: 29.8077 (31.9892)Acc@5: 98.0769 (95.8333) +2024-12-27 12:43:38,829 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-1.pth.tar', 31.989247475900957) + +2024-12-27 12:43:41,749 - train: [ INFO] - Train: 2 [ 0/52 ( 0%)] Loss: 2.430584 (2.4306) Acc@1: 32.8125 (32.8125) Acc@5: 99.2188 (99.2188) Time: 2.907s, 44.03/s (2.907s, 44.03/s) LR: 2.506e-04 Data: 2.450 (2.450) +2024-12-27 12:44:03,143 - train: [ INFO] - Train: 2 [ 50/52 ( 98%)] Loss: 2.390810 (2.4107) Acc@1: 41.4062 (37.1094) Acc@5: 96.0938 (97.6562) Time: 0.421s, 304.05/s (0.476s, 269.06/s) LR: 2.506e-04 Data: 0.000 (0.049) +2024-12-27 12:44:03,583 - train: [ INFO] - Train: 2 [ 51/52 (100%)] Loss: 2.413995 (2.4118) Acc@1: 38.2812 (37.5000) Acc@5: 97.6562 (97.6562) Time: 0.431s, 296.82/s (0.475s, 269.55/s) LR: 2.506e-04 Data: 0.000 (0.048) +2024-12-27 12:44:05,271 - train: [ INFO] - Eval : 2 Time: 1.511 (1.511) Loss: 1.4141 (1.4141) Acc@1: 42.9688 (42.9688)Acc@5: 100.0000 (100.0000) +2024-12-27 12:44:06,032 - train: [ INFO] - Eval : 2 Time: 0.151 (0.379) Loss: 1.4325 (1.4585) Acc@1: 43.2692 (38.9785)Acc@5: 99.0385 (97.7151) +2024-12-27 12:44:06,920 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-2.pth.tar', 38.97849503383841) + +2024-12-27 12:44:08,586 - train: [ INFO] - Train: 3 [ 0/52 ( 0%)] Loss: 2.410028 (2.4100) Acc@1: 36.7188 (36.7188) Acc@5: 95.3125 (95.3125) Time: 1.650s, 77.56/s (1.650s, 77.56/s) LR: 3.754e-04 Data: 1.194 (1.194) +2024-12-27 12:44:30,302 - train: [ INFO] - Train: 3 [ 50/52 ( 98%)] Loss: 2.325227 (2.3676) Acc@1: 38.2812 (37.5000) Acc@5: 98.4375 (96.8750) Time: 0.426s, 300.26/s (0.457s, 280.01/s) LR: 3.754e-04 Data: 0.000 (0.025) +2024-12-27 12:44:30,763 - train: [ INFO] - Train: 3 [ 51/52 (100%)] Loss: 2.221317 (2.3189) Acc@1: 53.1250 (42.7083) Acc@5: 98.4375 (97.3958) Time: 0.451s, 284.12/s (0.457s, 280.09/s) LR: 3.754e-04 Data: 0.000 (0.024) +2024-12-27 12:44:33,167 - train: [ INFO] - Eval : 3 Time: 2.174 (2.174) Loss: 1.5621 (1.5621) Acc@1: 33.5938 (33.5938)Acc@5: 98.4375 (98.4375) +2024-12-27 12:44:33,966 - train: [ INFO] - Eval : 3 Time: 0.140 (0.496) Loss: 1.6038 (1.5175) Acc@1: 31.7308 (35.7527)Acc@5: 95.1923 (97.9839) +2024-12-27 12:44:37,243 - train: [ INFO] - Train: 4 [ 0/52 ( 0%)] Loss: 2.223838 (2.2238) Acc@1: 46.0938 (46.0938) Acc@5: 99.2188 (99.2188) Time: 2.293s, 55.83/s (2.293s, 55.83/s) LR: 5.002e-04 Data: 1.833 (1.833) +2024-12-27 12:44:58,967 - train: [ INFO] - Train: 4 [ 50/52 ( 98%)] Loss: 2.222732 (2.2233) Acc@1: 51.5625 (48.8281) Acc@5: 98.4375 (98.8281) Time: 0.422s, 303.57/s (0.470s, 272.42/s) LR: 5.002e-04 Data: 0.000 (0.037) +2024-12-27 12:44:59,399 - train: [ INFO] - Train: 4 [ 51/52 (100%)] Loss: 2.235125 (2.2272) Acc@1: 51.5625 (49.7396) Acc@5: 99.2188 (98.9583) Time: 0.430s, 297.94/s (0.469s, 272.87/s) LR: 5.002e-04 Data: 0.000 (0.037) +2024-12-27 12:45:01,162 - train: [ INFO] - Eval : 4 Time: 1.604 (1.604) Loss: 1.6642 (1.6642) Acc@1: 30.4688 (30.4688)Acc@5: 96.0938 (96.0938) +2024-12-27 12:45:01,957 - train: [ INFO] - Eval : 4 Time: 0.167 (0.400) Loss: 1.4494 (1.4821) Acc@1: 35.5769 (37.0968)Acc@5: 97.1154 (97.1774) +2024-12-27 12:45:04,484 - train: [ INFO] - Train: 5 [ 0/52 ( 0%)] Loss: 2.198237 (2.1982) Acc@1: 51.5625 (51.5625) Acc@5: 100.0000 (100.0000) Time: 1.634s, 78.32/s (1.634s, 78.32/s) LR: 6.212e-04 Data: 1.138 (1.138) +2024-12-27 12:45:26,398 - train: [ INFO] - Train: 5 [ 50/52 ( 98%)] Loss: 2.242144 (2.2202) Acc@1: 46.8750 (49.2188) Acc@5: 99.2188 (99.6094) Time: 0.442s, 289.52/s (0.461s, 277.88/s) LR: 6.212e-04 Data: 0.000 (0.024) +2024-12-27 12:45:26,832 - train: [ INFO] - Train: 5 [ 51/52 (100%)] Loss: 2.166932 (2.2024) Acc@1: 50.0000 (49.4792) Acc@5: 100.0000 (99.7396) Time: 0.431s, 297.21/s (0.460s, 278.22/s) LR: 6.212e-04 Data: 0.000 (0.023) +2024-12-27 12:45:28,675 - train: [ INFO] - Eval : 5 Time: 1.634 (1.634) Loss: 1.2540 (1.2540) Acc@1: 53.9062 (53.9062)Acc@5: 100.0000 (100.0000) +2024-12-27 12:45:29,443 - train: [ INFO] - Eval : 5 Time: 0.147 (0.400) Loss: 1.3149 (1.3187) Acc@1: 45.1923 (47.8495)Acc@5: 100.0000 (99.1935) +2024-12-27 12:45:30,395 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-5.pth.tar', 47.84946273475565) + +2024-12-27 12:45:33,099 - train: [ INFO] - Train: 6 [ 0/52 ( 0%)] Loss: 2.264052 (2.2641) Acc@1: 40.6250 (40.6250) Acc@5: 98.4375 (98.4375) Time: 2.685s, 47.67/s (2.685s, 47.67/s) LR: 6.196e-04 Data: 2.198 (2.198) +2024-12-27 12:45:54,950 - train: [ INFO] - Train: 6 [ 50/52 ( 98%)] Loss: 2.218651 (2.2414) Acc@1: 50.0000 (45.3125) Acc@5: 96.8750 (97.6562) Time: 0.468s, 273.50/s (0.480s, 266.53/s) LR: 6.196e-04 Data: 0.000 (0.044) +2024-12-27 12:45:55,417 - train: [ INFO] - Train: 6 [ 51/52 (100%)] Loss: 2.087713 (2.1901) Acc@1: 51.5625 (47.3958) Acc@5: 99.2188 (98.1771) Time: 0.464s, 276.05/s (0.480s, 266.70/s) LR: 6.196e-04 Data: 0.000 (0.043) +2024-12-27 12:45:57,556 - train: [ INFO] - Eval : 6 Time: 1.949 (1.949) Loss: 1.1857 (1.1857) Acc@1: 57.8125 (57.8125)Acc@5: 98.4375 (98.4375) +2024-12-27 12:45:58,333 - train: [ INFO] - Eval : 6 Time: 0.137 (0.454) Loss: 1.3684 (1.2553) Acc@1: 50.0000 (51.3441)Acc@5: 98.0769 (99.0591) +2024-12-27 12:45:59,366 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-6.pth.tar', 51.344086021505376) + +2024-12-27 12:46:01,029 - train: [ INFO] - Train: 7 [ 0/52 ( 0%)] Loss: 2.136896 (2.1369) Acc@1: 52.3438 (52.3438) Acc@5: 98.4375 (98.4375) Time: 1.646s, 77.77/s (1.646s, 77.77/s) LR: 6.176e-04 Data: 1.179 (1.179) +2024-12-27 12:46:22,948 - train: [ INFO] - Train: 7 [ 50/52 ( 98%)] Loss: 2.044529 (2.0907) Acc@1: 61.7188 (57.0312) Acc@5: 100.0000 (99.2188) Time: 0.436s, 293.64/s (0.461s, 277.61/s) LR: 6.176e-04 Data: 0.000 (0.024) +2024-12-27 12:46:23,390 - train: [ INFO] - Train: 7 [ 51/52 (100%)] Loss: 2.163664 (2.1150) Acc@1: 55.4688 (56.5104) Acc@5: 95.3125 (97.9167) Time: 0.438s, 292.26/s (0.461s, 277.87/s) LR: 6.176e-04 Data: 0.000 (0.024) +2024-12-27 12:46:25,993 - train: [ INFO] - Eval : 7 Time: 2.420 (2.420) Loss: 1.2526 (1.2526) Acc@1: 49.2188 (49.2188)Acc@5: 98.4375 (98.4375) +2024-12-27 12:46:26,799 - train: [ INFO] - Eval : 7 Time: 0.140 (0.538) Loss: 1.1244 (1.2615) Acc@1: 51.9231 (49.7312)Acc@5: 100.0000 (98.5215) +2024-12-27 12:46:30,410 - train: [ INFO] - Train: 8 [ 0/52 ( 0%)] Loss: 2.055313 (2.0553) Acc@1: 62.5000 (62.5000) Acc@5: 97.6562 (97.6562) Time: 2.626s, 48.74/s (2.626s, 48.74/s) LR: 6.153e-04 Data: 2.131 (2.131) +2024-12-27 12:46:52,203 - train: [ INFO] - Train: 8 [ 50/52 ( 98%)] Loss: 2.165833 (2.1106) Acc@1: 53.9062 (58.2031) Acc@5: 97.6562 (97.6562) Time: 0.449s, 285.33/s (0.478s, 267.96/s) LR: 6.153e-04 Data: 0.000 (0.043) +2024-12-27 12:46:52,632 - train: [ INFO] - Train: 8 [ 51/52 (100%)] Loss: 2.116339 (2.1125) Acc@1: 58.5938 (58.3333) Acc@5: 99.2188 (98.1771) Time: 0.425s, 301.01/s (0.477s, 268.53/s) LR: 6.153e-04 Data: 0.000 (0.042) +2024-12-27 12:46:55,405 - train: [ INFO] - Eval : 8 Time: 2.568 (2.568) Loss: 2.9852 (2.9852) Acc@1: 25.0000 (25.0000)Acc@5: 94.5312 (94.5312) +2024-12-27 12:46:56,259 - train: [ INFO] - Eval : 8 Time: 0.144 (0.570) Loss: 2.5611 (2.9023) Acc@1: 32.6923 (27.4194)Acc@5: 91.3462 (90.7258) +2024-12-27 12:46:59,515 - train: [ INFO] - Train: 9 [ 0/52 ( 0%)] Loss: 2.085801 (2.0858) Acc@1: 57.8125 (57.8125) Acc@5: 99.2188 (99.2188) Time: 2.232s, 57.35/s (2.232s, 57.35/s) LR: 6.128e-04 Data: 1.761 (1.761) +2024-12-27 12:47:21,739 - train: [ INFO] - Train: 9 [ 50/52 ( 98%)] Loss: 1.997134 (2.0415) Acc@1: 66.4062 (62.1094) Acc@5: 100.0000 (99.6094) Time: 0.433s, 295.91/s (0.479s, 267.35/s) LR: 6.128e-04 Data: 0.000 (0.036) +2024-12-27 12:47:22,162 - train: [ INFO] - Train: 9 [ 51/52 (100%)] Loss: 2.086783 (2.0566) Acc@1: 57.8125 (60.6771) Acc@5: 98.4375 (99.2188) Time: 0.420s, 305.00/s (0.478s, 267.99/s) LR: 6.128e-04 Data: 0.000 (0.035) +2024-12-27 12:47:24,929 - train: [ INFO] - Eval : 9 Time: 2.596 (2.596) Loss: 1.4673 (1.4673) Acc@1: 38.2812 (38.2812)Acc@5: 98.4375 (98.4375) +2024-12-27 12:47:25,718 - train: [ INFO] - Eval : 9 Time: 0.139 (0.564) Loss: 1.3746 (1.4095) Acc@1: 47.1154 (42.6075)Acc@5: 98.0769 (97.8495) +2024-12-27 12:47:29,560 - train: [ INFO] - Train: 10 [ 0/52 ( 0%)] Loss: 1.989845 (1.9898) Acc@1: 60.9375 (60.9375) Acc@5: 100.0000 (100.0000) Time: 2.862s, 44.73/s (2.862s, 44.73/s) LR: 6.099e-04 Data: 2.332 (2.332) +2024-12-27 12:47:51,351 - train: [ INFO] - Train: 10 [ 50/52 ( 98%)] Loss: 2.097141 (2.0435) Acc@1: 64.0625 (62.5000) Acc@5: 97.6562 (98.8281) Time: 0.428s, 298.80/s (0.482s, 265.51/s) LR: 6.099e-04 Data: 0.000 (0.047) +2024-12-27 12:47:51,774 - train: [ INFO] - Train: 10 [ 51/52 (100%)] Loss: 1.998084 (2.0284) Acc@1: 64.8438 (63.2812) Acc@5: 99.2188 (98.9583) Time: 0.420s, 304.83/s (0.481s, 266.17/s) LR: 6.099e-04 Data: 0.000 (0.046) +2024-12-27 12:47:53,689 - train: [ INFO] - Eval : 10 Time: 1.716 (1.716) Loss: 1.2456 (1.2456) Acc@1: 45.3125 (45.3125)Acc@5: 100.0000 (100.0000) +2024-12-27 12:47:54,467 - train: [ INFO] - Eval : 10 Time: 0.144 (0.416) Loss: 1.3752 (1.3812) Acc@1: 49.0385 (44.2204)Acc@5: 99.0385 (99.0591) +2024-12-27 12:47:58,382 - train: [ INFO] - Train: 11 [ 0/52 ( 0%)] Loss: 2.053485 (2.0535) Acc@1: 60.1562 (60.1562) Acc@5: 99.2188 (99.2188) Time: 2.924s, 43.78/s (2.924s, 43.78/s) LR: 6.068e-04 Data: 2.432 (2.432) +2024-12-27 12:48:20,115 - train: [ INFO] - Train: 11 [ 50/52 ( 98%)] Loss: 2.058951 (2.0562) Acc@1: 64.8438 (62.5000) Acc@5: 100.0000 (99.6094) Time: 0.423s, 302.49/s (0.483s, 265.19/s) LR: 6.068e-04 Data: 0.000 (0.049) +2024-12-27 12:48:20,539 - train: [ INFO] - Train: 11 [ 51/52 (100%)] Loss: 2.054188 (2.0555) Acc@1: 60.1562 (61.7188) Acc@5: 100.0000 (99.7396) Time: 0.421s, 304.07/s (0.481s, 265.84/s) LR: 6.068e-04 Data: 0.000 (0.048) +2024-12-27 12:48:22,267 - train: [ INFO] - Eval : 11 Time: 1.584 (1.584) Loss: 2.5597 (2.5597) Acc@1: 28.9062 (28.9062)Acc@5: 92.1875 (92.1875) +2024-12-27 12:48:23,039 - train: [ INFO] - Eval : 11 Time: 0.136 (0.392) Loss: 2.3759 (2.4533) Acc@1: 30.7692 (30.5108)Acc@5: 93.2692 (93.4140) +2024-12-27 12:48:25,677 - train: [ INFO] - Train: 12 [ 0/52 ( 0%)] Loss: 2.130807 (2.1308) Acc@1: 56.2500 (56.2500) Acc@5: 99.2188 (99.2188) Time: 1.686s, 75.92/s (1.686s, 75.92/s) LR: 6.034e-04 Data: 1.209 (1.209) +2024-12-27 12:48:47,613 - train: [ INFO] - Train: 12 [ 50/52 ( 98%)] Loss: 1.910702 (2.0208) Acc@1: 70.3125 (63.2812) Acc@5: 97.6562 (98.4375) Time: 0.428s, 299.38/s (0.462s, 276.94/s) LR: 6.034e-04 Data: 0.000 (0.025) +2024-12-27 12:48:48,039 - train: [ INFO] - Train: 12 [ 51/52 (100%)] Loss: 1.920250 (1.9873) Acc@1: 67.9688 (64.8438) Acc@5: 97.6562 (98.1771) Time: 0.423s, 302.34/s (0.461s, 277.39/s) LR: 6.034e-04 Data: 0.000 (0.024) +2024-12-27 12:48:50,768 - train: [ INFO] - Eval : 12 Time: 2.525 (2.525) Loss: 1.4624 (1.4624) Acc@1: 46.8750 (46.8750)Acc@5: 96.8750 (96.8750) +2024-12-27 12:48:51,546 - train: [ INFO] - Eval : 12 Time: 0.140 (0.550) Loss: 1.3093 (1.3632) Acc@1: 49.0385 (47.7151)Acc@5: 98.0769 (98.1183) +2024-12-27 12:48:55,385 - train: [ INFO] - Train: 13 [ 0/52 ( 0%)] Loss: 1.890363 (1.8904) Acc@1: 65.6250 (65.6250) Acc@5: 99.2188 (99.2188) Time: 2.760s, 46.37/s (2.760s, 46.37/s) LR: 5.997e-04 Data: 2.234 (2.234) +2024-12-27 12:49:17,454 - train: [ INFO] - Train: 13 [ 50/52 ( 98%)] Loss: 1.881561 (1.8860) Acc@1: 72.6562 (69.1406) Acc@5: 100.0000 (99.6094) Time: 0.453s, 282.71/s (0.486s, 263.44/s) LR: 5.997e-04 Data: 0.000 (0.045) +2024-12-27 12:49:17,925 - train: [ INFO] - Train: 13 [ 51/52 (100%)] Loss: 1.961010 (1.9110) Acc@1: 63.2812 (67.1875) Acc@5: 97.6562 (98.9583) Time: 0.467s, 274.30/s (0.486s, 263.65/s) LR: 5.997e-04 Data: 0.000 (0.044) +2024-12-27 12:49:20,315 - train: [ INFO] - Eval : 13 Time: 2.213 (2.213) Loss: 1.1890 (1.1890) Acc@1: 57.8125 (57.8125)Acc@5: 96.0938 (96.0938) +2024-12-27 12:49:21,055 - train: [ INFO] - Eval : 13 Time: 0.145 (0.492) Loss: 1.2167 (1.2167) Acc@1: 55.7692 (55.7796)Acc@5: 98.0769 (97.0430) +2024-12-27 12:49:22,084 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-13.pth.tar', 55.77957030265562) + +2024-12-27 12:49:23,893 - train: [ INFO] - Train: 14 [ 0/52 ( 0%)] Loss: 1.888094 (1.8881) Acc@1: 65.6250 (65.6250) Acc@5: 100.0000 (100.0000) Time: 1.797s, 71.25/s (1.797s, 71.25/s) LR: 5.957e-04 Data: 1.297 (1.297) +2024-12-27 12:49:45,479 - train: [ INFO] - Train: 14 [ 50/52 ( 98%)] Loss: 1.878380 (1.8832) Acc@1: 69.5312 (67.5781) Acc@5: 99.2188 (99.6094) Time: 0.452s, 282.91/s (0.457s, 279.94/s) LR: 5.957e-04 Data: 0.000 (0.027) +2024-12-27 12:49:45,905 - train: [ INFO] - Train: 14 [ 51/52 (100%)] Loss: 1.993104 (1.9199) Acc@1: 66.4062 (67.1875) Acc@5: 97.6562 (98.9583) Time: 0.423s, 302.37/s (0.457s, 280.34/s) LR: 5.957e-04 Data: 0.000 (0.026) +2024-12-27 12:49:48,361 - train: [ INFO] - Eval : 14 Time: 2.206 (2.206) Loss: 1.7544 (1.7544) Acc@1: 40.6250 (40.6250)Acc@5: 96.0938 (96.0938) +2024-12-27 12:49:49,154 - train: [ INFO] - Eval : 14 Time: 0.159 (0.501) Loss: 1.4822 (1.5671) Acc@1: 47.1154 (42.4731)Acc@5: 97.1154 (97.4462) +2024-12-27 12:49:52,481 - train: [ INFO] - Train: 15 [ 0/52 ( 0%)] Loss: 1.994353 (1.9944) Acc@1: 66.4062 (66.4062) Acc@5: 99.2188 (99.2188) Time: 2.371s, 53.98/s (2.371s, 53.98/s) LR: 5.915e-04 Data: 1.878 (1.878) +2024-12-27 12:50:14,119 - train: [ INFO] - Train: 15 [ 50/52 ( 98%)] Loss: 1.940220 (1.9673) Acc@1: 64.0625 (65.2344) Acc@5: 99.2188 (99.2188) Time: 0.444s, 288.58/s (0.470s, 272.60/s) LR: 5.915e-04 Data: 0.000 (0.038) +2024-12-27 12:50:14,542 - train: [ INFO] - Train: 15 [ 51/52 (100%)] Loss: 1.843976 (1.9262) Acc@1: 75.7812 (68.7500) Acc@5: 100.0000 (99.4792) Time: 0.420s, 304.70/s (0.469s, 273.15/s) LR: 5.915e-04 Data: 0.000 (0.037) +2024-12-27 12:50:16,424 - train: [ INFO] - Eval : 15 Time: 1.682 (1.682) Loss: 1.7139 (1.7139) Acc@1: 44.5312 (44.5312)Acc@5: 100.0000 (100.0000) +2024-12-27 12:50:17,198 - train: [ INFO] - Eval : 15 Time: 0.163 (0.409) Loss: 1.5720 (1.6194) Acc@1: 50.0000 (45.2957)Acc@5: 98.0769 (98.9247) +2024-12-27 12:50:20,887 - train: [ INFO] - Train: 16 [ 0/52 ( 0%)] Loss: 1.806145 (1.8061) Acc@1: 71.8750 (71.8750) Acc@5: 100.0000 (100.0000) Time: 2.778s, 46.08/s (2.778s, 46.08/s) LR: 5.870e-04 Data: 2.293 (2.293) +2024-12-27 12:50:43,090 - train: [ INFO] - Train: 16 [ 50/52 ( 98%)] Loss: 1.872763 (1.8395) Acc@1: 67.9688 (69.9219) Acc@5: 100.0000 (100.0000) Time: 0.438s, 292.44/s (0.489s, 261.93/s) LR: 5.870e-04 Data: 0.000 (0.046) +2024-12-27 12:50:43,517 - train: [ INFO] - Train: 16 [ 51/52 (100%)] Loss: 1.779335 (1.8194) Acc@1: 72.6562 (70.8333) Acc@5: 98.4375 (99.4792) Time: 0.424s, 301.80/s (0.487s, 262.60/s) LR: 5.870e-04 Data: 0.000 (0.045) +2024-12-27 12:50:45,695 - train: [ INFO] - Eval : 16 Time: 1.923 (1.923) Loss: 1.3181 (1.3181) Acc@1: 53.9062 (53.9062)Acc@5: 99.2188 (99.2188) +2024-12-27 12:50:46,527 - train: [ INFO] - Eval : 16 Time: 0.183 (0.459) Loss: 1.3028 (1.3968) Acc@1: 49.0385 (45.2957)Acc@5: 98.0769 (99.1935) +2024-12-27 12:50:49,130 - train: [ INFO] - Train: 17 [ 0/52 ( 0%)] Loss: 1.784214 (1.7842) Acc@1: 74.2188 (74.2188) Acc@5: 99.2188 (99.2188) Time: 1.672s, 76.56/s (1.672s, 76.56/s) LR: 5.822e-04 Data: 1.194 (1.194) +2024-12-27 12:51:10,767 - train: [ INFO] - Train: 17 [ 50/52 ( 98%)] Loss: 1.853423 (1.8188) Acc@1: 72.6562 (73.4375) Acc@5: 100.0000 (99.6094) Time: 0.421s, 304.18/s (0.456s, 280.64/s) LR: 5.822e-04 Data: 0.000 (0.024) +2024-12-27 12:51:11,199 - train: [ INFO] - Train: 17 [ 51/52 (100%)] Loss: 1.804332 (1.8140) Acc@1: 75.0000 (73.9583) Acc@5: 100.0000 (99.7396) Time: 0.426s, 300.34/s (0.456s, 281.00/s) LR: 5.822e-04 Data: 0.000 (0.024) +2024-12-27 12:51:13,255 - train: [ INFO] - Eval : 17 Time: 1.899 (1.899) Loss: 1.7439 (1.7439) Acc@1: 40.6250 (40.6250)Acc@5: 87.5000 (87.5000) +2024-12-27 12:51:14,026 - train: [ INFO] - Eval : 17 Time: 0.147 (0.445) Loss: 1.4414 (1.5366) Acc@1: 48.0769 (46.3710)Acc@5: 93.2692 (92.2043) +2024-12-27 12:51:17,785 - train: [ INFO] - Train: 18 [ 0/52 ( 0%)] Loss: 1.751543 (1.7515) Acc@1: 80.4688 (80.4688) Acc@5: 98.4375 (98.4375) Time: 2.739s, 46.73/s (2.739s, 46.73/s) LR: 5.771e-04 Data: 2.260 (2.260) +2024-12-27 12:51:39,400 - train: [ INFO] - Train: 18 [ 50/52 ( 98%)] Loss: 1.828224 (1.7899) Acc@1: 72.6562 (76.5625) Acc@5: 100.0000 (99.2188) Time: 0.423s, 302.68/s (0.477s, 268.53/s) LR: 5.771e-04 Data: 0.000 (0.046) +2024-12-27 12:51:39,827 - train: [ INFO] - Train: 18 [ 51/52 (100%)] Loss: 1.699093 (1.7596) Acc@1: 81.2500 (78.1250) Acc@5: 100.0000 (99.4792) Time: 0.423s, 302.41/s (0.476s, 269.11/s) LR: 5.771e-04 Data: 0.000 (0.045) +2024-12-27 12:51:41,409 - train: [ INFO] - Eval : 18 Time: 1.371 (1.371) Loss: 1.5224 (1.5224) Acc@1: 37.5000 (37.5000)Acc@5: 99.2188 (99.2188) +2024-12-27 12:51:42,184 - train: [ INFO] - Eval : 18 Time: 0.174 (0.358) Loss: 1.4088 (1.4491) Acc@1: 45.1923 (41.6667)Acc@5: 100.0000 (98.9247) +2024-12-27 12:51:45,397 - train: [ INFO] - Train: 19 [ 0/52 ( 0%)] Loss: 1.863267 (1.8633) Acc@1: 74.2188 (74.2188) Acc@5: 100.0000 (100.0000) Time: 2.216s, 57.77/s (2.216s, 57.77/s) LR: 5.718e-04 Data: 1.679 (1.679) +2024-12-27 12:52:07,012 - train: [ INFO] - Train: 19 [ 50/52 ( 98%)] Loss: 1.773109 (1.8182) Acc@1: 72.6562 (73.4375) Acc@5: 100.0000 (100.0000) Time: 0.437s, 292.72/s (0.466s, 274.61/s) LR: 5.718e-04 Data: 0.000 (0.034) +2024-12-27 12:52:07,453 - train: [ INFO] - Train: 19 [ 51/52 (100%)] Loss: 1.727844 (1.7881) Acc@1: 78.9062 (75.2604) Acc@5: 100.0000 (100.0000) Time: 0.438s, 292.15/s (0.466s, 274.93/s) LR: 5.718e-04 Data: 0.000 (0.033) +2024-12-27 12:52:10,335 - train: [ INFO] - Eval : 19 Time: 2.733 (2.733) Loss: 1.3823 (1.3823) Acc@1: 50.0000 (50.0000)Acc@5: 97.6562 (97.6562) +2024-12-27 12:52:11,124 - train: [ INFO] - Eval : 19 Time: 0.138 (0.587) Loss: 1.1819 (1.2630) Acc@1: 50.9615 (50.2688)Acc@5: 99.0385 (97.7151) +2024-12-27 12:52:14,230 - train: [ INFO] - Train: 20 [ 0/52 ( 0%)] Loss: 1.707100 (1.7071) Acc@1: 75.7812 (75.7812) Acc@5: 100.0000 (100.0000) Time: 2.110s, 60.66/s (2.110s, 60.66/s) LR: 5.663e-04 Data: 1.601 (1.601) +2024-12-27 12:52:36,075 - train: [ INFO] - Train: 20 [ 50/52 ( 98%)] Loss: 1.715947 (1.7115) Acc@1: 75.7812 (75.7812) Acc@5: 100.0000 (100.0000) Time: 0.428s, 299.33/s (0.469s, 273.02/s) LR: 5.663e-04 Data: 0.000 (0.032) +2024-12-27 12:52:36,498 - train: [ INFO] - Train: 20 [ 51/52 (100%)] Loss: 1.682800 (1.7019) Acc@1: 78.1250 (76.5625) Acc@5: 98.4375 (99.4792) Time: 0.419s, 305.35/s (0.468s, 273.57/s) LR: 5.663e-04 Data: 0.000 (0.032) +2024-12-27 12:52:38,999 - train: [ INFO] - Eval : 20 Time: 2.345 (2.345) Loss: 1.2991 (1.2991) Acc@1: 58.5938 (58.5938)Acc@5: 92.9688 (92.9688) +2024-12-27 12:52:39,752 - train: [ INFO] - Eval : 20 Time: 0.141 (0.516) Loss: 1.3319 (1.4486) Acc@1: 56.7308 (54.4355)Acc@5: 95.1923 (92.8763) +2024-12-27 12:52:43,525 - train: [ INFO] - Train: 21 [ 0/52 ( 0%)] Loss: 1.728763 (1.7288) Acc@1: 73.4375 (73.4375) Acc@5: 99.2188 (99.2188) Time: 2.814s, 45.49/s (2.814s, 45.49/s) LR: 5.605e-04 Data: 2.308 (2.308) +2024-12-27 12:53:05,421 - train: [ INFO] - Train: 21 [ 50/52 ( 98%)] Loss: 1.760072 (1.7444) Acc@1: 75.0000 (74.2188) Acc@5: 99.2188 (99.2188) Time: 0.420s, 304.76/s (0.483s, 264.92/s) LR: 5.605e-04 Data: 0.000 (0.047) +2024-12-27 12:53:05,849 - train: [ INFO] - Train: 21 [ 51/52 (100%)] Loss: 1.693758 (1.7275) Acc@1: 82.0312 (76.8229) Acc@5: 100.0000 (99.4792) Time: 0.424s, 301.58/s (0.482s, 265.54/s) LR: 5.605e-04 Data: 0.000 (0.046) +2024-12-27 12:53:07,300 - train: [ INFO] - Eval : 21 Time: 1.249 (1.249) Loss: 0.9979 (0.9979) Acc@1: 64.0625 (64.0625)Acc@5: 98.4375 (98.4375) +2024-12-27 12:53:08,107 - train: [ INFO] - Eval : 21 Time: 0.138 (0.343) Loss: 1.0885 (1.0075) Acc@1: 58.6538 (62.3656)Acc@5: 97.1154 (98.1183) +2024-12-27 12:53:09,068 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-21.pth.tar', 62.365591479885964) + +2024-12-27 12:53:11,503 - train: [ INFO] - Train: 22 [ 0/52 ( 0%)] Loss: 1.809520 (1.8095) Acc@1: 72.6562 (72.6562) Acc@5: 98.4375 (98.4375) Time: 2.422s, 52.85/s (2.422s, 52.85/s) LR: 5.544e-04 Data: 1.922 (1.922) +2024-12-27 12:53:33,109 - train: [ INFO] - Train: 22 [ 50/52 ( 98%)] Loss: 1.776982 (1.7933) Acc@1: 74.2188 (73.4375) Acc@5: 100.0000 (99.2188) Time: 0.443s, 288.66/s (0.470s, 272.33/s) LR: 5.544e-04 Data: 0.000 (0.039) +2024-12-27 12:53:33,551 - train: [ INFO] - Train: 22 [ 51/52 (100%)] Loss: 1.730174 (1.7722) Acc@1: 74.2188 (73.6979) Acc@5: 100.0000 (99.4792) Time: 0.439s, 291.60/s (0.469s, 272.67/s) LR: 5.544e-04 Data: 0.000 (0.038) +2024-12-27 12:53:36,417 - train: [ INFO] - Eval : 22 Time: 2.672 (2.672) Loss: 1.7970 (1.7970) Acc@1: 33.5938 (33.5938)Acc@5: 97.6562 (97.6562) +2024-12-27 12:53:37,185 - train: [ INFO] - Eval : 22 Time: 0.139 (0.573) Loss: 1.4581 (1.5997) Acc@1: 48.0769 (43.1452)Acc@5: 98.0769 (97.7151) +2024-12-27 12:53:40,895 - train: [ INFO] - Train: 23 [ 0/52 ( 0%)] Loss: 1.607257 (1.6073) Acc@1: 83.5938 (83.5938) Acc@5: 99.2188 (99.2188) Time: 2.734s, 46.83/s (2.734s, 46.83/s) LR: 5.482e-04 Data: 2.253 (2.253) +2024-12-27 12:54:02,688 - train: [ INFO] - Train: 23 [ 50/52 ( 98%)] Loss: 1.651554 (1.6294) Acc@1: 79.6875 (81.6406) Acc@5: 100.0000 (99.6094) Time: 0.425s, 301.34/s (0.480s, 266.56/s) LR: 5.482e-04 Data: 0.000 (0.045) +2024-12-27 12:54:03,122 - train: [ INFO] - Train: 23 [ 51/52 (100%)] Loss: 1.674052 (1.6443) Acc@1: 77.3438 (80.2083) Acc@5: 100.0000 (99.7396) Time: 0.430s, 297.73/s (0.479s, 267.10/s) LR: 5.482e-04 Data: 0.000 (0.044) +2024-12-27 12:54:05,360 - train: [ INFO] - Eval : 23 Time: 2.049 (2.049) Loss: 1.9683 (1.9683) Acc@1: 46.0938 (46.0938)Acc@5: 94.5312 (94.5312) +2024-12-27 12:54:06,116 - train: [ INFO] - Eval : 23 Time: 0.138 (0.468) Loss: 1.9311 (1.9471) Acc@1: 48.0769 (43.5484)Acc@5: 91.3462 (94.4892) +2024-12-27 12:54:09,836 - train: [ INFO] - Train: 24 [ 0/52 ( 0%)] Loss: 1.594831 (1.5948) Acc@1: 82.0312 (82.0312) Acc@5: 100.0000 (100.0000) Time: 2.634s, 48.60/s (2.634s, 48.60/s) LR: 5.417e-04 Data: 2.148 (2.148) +2024-12-27 12:54:31,416 - train: [ INFO] - Train: 24 [ 50/52 ( 98%)] Loss: 1.672630 (1.6337) Acc@1: 78.9062 (80.4688) Acc@5: 100.0000 (100.0000) Time: 0.431s, 296.98/s (0.474s, 270.05/s) LR: 5.417e-04 Data: 0.000 (0.043) +2024-12-27 12:54:31,846 - train: [ INFO] - Train: 24 [ 51/52 (100%)] Loss: 1.598052 (1.6218) Acc@1: 85.1562 (82.0312) Acc@5: 99.2188 (99.7396) Time: 0.427s, 299.85/s (0.473s, 270.57/s) LR: 5.417e-04 Data: 0.000 (0.042) +2024-12-27 12:54:33,308 - train: [ INFO] - Eval : 24 Time: 1.310 (1.310) Loss: 1.6528 (1.6528) Acc@1: 38.2812 (38.2812)Acc@5: 100.0000 (100.0000) +2024-12-27 12:54:34,084 - train: [ INFO] - Eval : 24 Time: 0.152 (0.348) Loss: 1.7439 (1.5617) Acc@1: 48.0769 (44.6237)Acc@5: 100.0000 (99.0591) +2024-12-27 12:54:37,459 - train: [ INFO] - Train: 25 [ 0/52 ( 0%)] Loss: 1.575574 (1.5756) Acc@1: 86.7188 (86.7188) Acc@5: 100.0000 (100.0000) Time: 2.433s, 52.62/s (2.433s, 52.62/s) LR: 5.349e-04 Data: 1.934 (1.934) +2024-12-27 12:54:59,321 - train: [ INFO] - Train: 25 [ 50/52 ( 98%)] Loss: 1.625587 (1.6006) Acc@1: 85.1562 (85.9375) Acc@5: 99.2188 (99.6094) Time: 0.445s, 287.79/s (0.475s, 269.34/s) LR: 5.349e-04 Data: 0.000 (0.039) +2024-12-27 12:54:59,756 - train: [ INFO] - Train: 25 [ 51/52 (100%)] Loss: 1.768538 (1.6566) Acc@1: 75.7812 (82.5521) Acc@5: 100.0000 (99.7396) Time: 0.430s, 297.91/s (0.474s, 269.84/s) LR: 5.349e-04 Data: 0.000 (0.038) +2024-12-27 12:55:03,072 - train: [ INFO] - Eval : 25 Time: 3.134 (3.134) Loss: 1.1914 (1.1914) Acc@1: 53.1250 (53.1250)Acc@5: 100.0000 (100.0000) +2024-12-27 12:55:03,844 - train: [ INFO] - Eval : 25 Time: 0.137 (0.651) Loss: 1.3213 (1.3596) Acc@1: 58.6538 (50.5376)Acc@5: 97.1154 (97.0430) +2024-12-27 12:55:06,820 - train: [ INFO] - Train: 26 [ 0/52 ( 0%)] Loss: 1.587136 (1.5871) Acc@1: 85.1562 (85.1562) Acc@5: 100.0000 (100.0000) Time: 1.985s, 64.49/s (1.985s, 64.49/s) LR: 5.280e-04 Data: 1.505 (1.505) +2024-12-27 12:55:28,412 - train: [ INFO] - Train: 26 [ 50/52 ( 98%)] Loss: 1.604002 (1.5956) Acc@1: 80.4688 (82.8125) Acc@5: 100.0000 (100.0000) Time: 0.420s, 304.80/s (0.461s, 277.37/s) LR: 5.280e-04 Data: 0.000 (0.031) +2024-12-27 12:55:28,845 - train: [ INFO] - Train: 26 [ 51/52 (100%)] Loss: 1.696375 (1.6292) Acc@1: 79.6875 (81.7708) Acc@5: 100.0000 (100.0000) Time: 0.425s, 301.01/s (0.461s, 277.79/s) LR: 5.280e-04 Data: 0.000 (0.030) +2024-12-27 12:55:31,317 - train: [ INFO] - Eval : 26 Time: 2.276 (2.276) Loss: 1.1644 (1.1644) Acc@1: 57.8125 (57.8125)Acc@5: 98.4375 (98.4375) +2024-12-27 12:55:32,080 - train: [ INFO] - Eval : 26 Time: 0.137 (0.507) Loss: 0.9701 (1.0537) Acc@1: 68.2692 (60.3495)Acc@5: 98.0769 (98.6559) +2024-12-27 12:55:36,478 - train: [ INFO] - Train: 27 [ 0/52 ( 0%)] Loss: 1.509779 (1.5098) Acc@1: 85.9375 (85.9375) Acc@5: 100.0000 (100.0000) Time: 3.376s, 37.91/s (3.376s, 37.91/s) LR: 5.209e-04 Data: 2.890 (2.890) +2024-12-27 12:55:58,211 - train: [ INFO] - Train: 27 [ 50/52 ( 98%)] Loss: 1.573182 (1.5415) Acc@1: 86.7188 (86.3281) Acc@5: 100.0000 (100.0000) Time: 0.437s, 292.79/s (0.491s, 260.59/s) LR: 5.209e-04 Data: 0.000 (0.058) +2024-12-27 12:55:58,662 - train: [ INFO] - Train: 27 [ 51/52 (100%)] Loss: 1.778714 (1.6206) Acc@1: 74.2188 (82.2917) Acc@5: 100.0000 (100.0000) Time: 0.446s, 287.31/s (0.490s, 261.06/s) LR: 5.209e-04 Data: 0.001 (0.057) +2024-12-27 12:56:01,010 - train: [ INFO] - Eval : 27 Time: 2.099 (2.099) Loss: 1.6147 (1.6147) Acc@1: 47.6562 (47.6562)Acc@5: 97.6562 (97.6562) +2024-12-27 12:56:01,816 - train: [ INFO] - Eval : 27 Time: 0.151 (0.484) Loss: 1.8006 (1.5341) Acc@1: 41.3462 (45.8333)Acc@5: 98.0769 (98.9247) +2024-12-27 12:56:04,985 - train: [ INFO] - Train: 28 [ 0/52 ( 0%)] Loss: 1.510558 (1.5106) Acc@1: 87.5000 (87.5000) Acc@5: 100.0000 (100.0000) Time: 2.156s, 59.37/s (2.156s, 59.37/s) LR: 5.135e-04 Data: 1.660 (1.660) +2024-12-27 12:56:26,935 - train: [ INFO] - Train: 28 [ 50/52 ( 98%)] Loss: 1.501173 (1.5059) Acc@1: 85.9375 (86.7188) Acc@5: 100.0000 (100.0000) Time: 0.422s, 303.07/s (0.472s, 271.47/s) LR: 5.135e-04 Data: 0.000 (0.033) +2024-12-27 12:56:27,357 - train: [ INFO] - Train: 28 [ 51/52 (100%)] Loss: 1.554687 (1.5221) Acc@1: 86.7188 (86.7188) Acc@5: 100.0000 (100.0000) Time: 0.419s, 305.31/s (0.471s, 272.05/s) LR: 5.135e-04 Data: 0.000 (0.033) +2024-12-27 12:56:30,452 - train: [ INFO] - Eval : 28 Time: 2.911 (2.911) Loss: 1.4894 (1.4894) Acc@1: 47.6562 (47.6562)Acc@5: 93.7500 (93.7500) +2024-12-27 12:56:31,236 - train: [ INFO] - Eval : 28 Time: 0.136 (0.616) Loss: 1.3100 (1.4529) Acc@1: 56.7308 (50.6720)Acc@5: 98.0769 (97.1774) +2024-12-27 12:56:33,822 - train: [ INFO] - Train: 29 [ 0/52 ( 0%)] Loss: 1.681960 (1.6820) Acc@1: 76.5625 (76.5625) Acc@5: 99.2188 (99.2188) Time: 1.567s, 81.70/s (1.567s, 81.70/s) LR: 5.060e-04 Data: 1.103 (1.103) +2024-12-27 12:56:55,999 - train: [ INFO] - Train: 29 [ 50/52 ( 98%)] Loss: 1.523627 (1.6028) Acc@1: 85.9375 (81.2500) Acc@5: 99.2188 (99.2188) Time: 0.426s, 300.21/s (0.465s, 275.46/s) LR: 5.060e-04 Data: 0.000 (0.023) +2024-12-27 12:56:56,454 - train: [ INFO] - Train: 29 [ 51/52 (100%)] Loss: 1.498735 (1.5681) Acc@1: 87.5000 (83.3333) Acc@5: 100.0000 (99.4792) Time: 0.443s, 289.12/s (0.464s, 275.71/s) LR: 5.060e-04 Data: 0.001 (0.023) +2024-12-27 12:56:58,943 - train: [ INFO] - Eval : 29 Time: 2.311 (2.311) Loss: 1.4550 (1.4550) Acc@1: 46.0938 (46.0938)Acc@5: 93.7500 (93.7500) +2024-12-27 12:56:59,686 - train: [ INFO] - Eval : 29 Time: 0.142 (0.509) Loss: 1.2091 (1.2170) Acc@1: 59.6154 (56.7204)Acc@5: 97.1154 (96.9086) +2024-12-27 12:57:03,076 - train: [ INFO] - Train: 30 [ 0/52 ( 0%)] Loss: 1.498863 (1.4989) Acc@1: 92.1875 (92.1875) Acc@5: 100.0000 (100.0000) Time: 2.367s, 54.08/s (2.367s, 54.08/s) LR: 4.982e-04 Data: 1.894 (1.894) +2024-12-27 12:57:24,990 - train: [ INFO] - Train: 30 [ 50/52 ( 98%)] Loss: 1.492711 (1.4958) Acc@1: 85.9375 (89.0625) Acc@5: 100.0000 (100.0000) Time: 0.432s, 296.31/s (0.475s, 269.53/s) LR: 4.982e-04 Data: 0.000 (0.038) +2024-12-27 12:57:25,427 - train: [ INFO] - Train: 30 [ 51/52 (100%)] Loss: 1.473746 (1.4884) Acc@1: 91.4062 (89.8438) Acc@5: 100.0000 (100.0000) Time: 0.430s, 298.01/s (0.474s, 270.03/s) LR: 4.982e-04 Data: 0.000 (0.038) +2024-12-27 12:57:27,481 - train: [ INFO] - Eval : 30 Time: 1.842 (1.842) Loss: 1.1541 (1.1541) Acc@1: 56.2500 (56.2500)Acc@5: 97.6562 (97.6562) +2024-12-27 12:57:28,248 - train: [ INFO] - Eval : 30 Time: 0.140 (0.436) Loss: 1.2679 (1.1843) Acc@1: 50.9615 (54.7043)Acc@5: 94.2308 (97.4462) +2024-12-27 12:57:32,275 - train: [ INFO] - Train: 31 [ 0/52 ( 0%)] Loss: 1.496442 (1.4964) Acc@1: 90.6250 (90.6250) Acc@5: 100.0000 (100.0000) Time: 3.070s, 41.69/s (3.070s, 41.69/s) LR: 4.903e-04 Data: 2.559 (2.559) +2024-12-27 12:57:53,900 - train: [ INFO] - Train: 31 [ 50/52 ( 98%)] Loss: 1.574085 (1.5353) Acc@1: 89.8438 (90.2344) Acc@5: 100.0000 (100.0000) Time: 0.435s, 294.48/s (0.484s, 264.70/s) LR: 4.903e-04 Data: 0.000 (0.051) +2024-12-27 12:57:54,359 - train: [ INFO] - Train: 31 [ 51/52 (100%)] Loss: 1.448553 (1.5064) Acc@1: 89.8438 (90.1042) Acc@5: 100.0000 (100.0000) Time: 0.455s, 281.30/s (0.483s, 265.00/s) LR: 4.903e-04 Data: 0.000 (0.050) +2024-12-27 12:57:57,005 - train: [ INFO] - Eval : 31 Time: 2.439 (2.439) Loss: 1.4310 (1.4310) Acc@1: 51.5625 (51.5625)Acc@5: 97.6562 (97.6562) +2024-12-27 12:57:57,777 - train: [ INFO] - Eval : 31 Time: 0.138 (0.535) Loss: 1.1245 (1.1741) Acc@1: 56.7308 (58.4677)Acc@5: 98.0769 (97.7151) +2024-12-27 12:58:01,916 - train: [ INFO] - Train: 32 [ 0/52 ( 0%)] Loss: 1.549420 (1.5494) Acc@1: 82.0312 (82.0312) Acc@5: 100.0000 (100.0000) Time: 3.165s, 40.44/s (3.165s, 40.44/s) LR: 4.823e-04 Data: 2.638 (2.638) +2024-12-27 12:58:23,512 - train: [ INFO] - Train: 32 [ 50/52 ( 98%)] Loss: 1.397264 (1.4733) Acc@1: 91.4062 (86.7188) Acc@5: 100.0000 (100.0000) Time: 0.425s, 301.27/s (0.485s, 264.06/s) LR: 4.823e-04 Data: 0.000 (0.053) +2024-12-27 12:58:23,936 - train: [ INFO] - Train: 32 [ 51/52 (100%)] Loss: 1.383896 (1.4435) Acc@1: 92.1875 (88.5417) Acc@5: 99.2188 (99.7396) Time: 0.420s, 304.89/s (0.483s, 264.74/s) LR: 4.823e-04 Data: 0.000 (0.052) +2024-12-27 12:58:27,101 - train: [ INFO] - Eval : 32 Time: 2.980 (2.980) Loss: 1.3204 (1.3204) Acc@1: 53.1250 (53.1250)Acc@5: 95.3125 (95.3125) +2024-12-27 12:58:27,965 - train: [ INFO] - Eval : 32 Time: 0.176 (0.641) Loss: 1.3792 (1.3540) Acc@1: 51.9231 (51.6129)Acc@5: 93.2692 (95.5645) +2024-12-27 12:58:30,457 - train: [ INFO] - Train: 33 [ 0/52 ( 0%)] Loss: 1.466992 (1.4670) Acc@1: 89.0625 (89.0625) Acc@5: 99.2188 (99.2188) Time: 1.573s, 81.36/s (1.573s, 81.36/s) LR: 4.740e-04 Data: 1.111 (1.111) +2024-12-27 12:58:52,216 - train: [ INFO] - Train: 33 [ 50/52 ( 98%)] Loss: 1.546010 (1.5065) Acc@1: 82.8125 (85.9375) Acc@5: 100.0000 (99.6094) Time: 0.417s, 307.23/s (0.457s, 280.28/s) LR: 4.740e-04 Data: 0.000 (0.023) +2024-12-27 12:58:52,645 - train: [ INFO] - Train: 33 [ 51/52 (100%)] Loss: 1.389448 (1.4675) Acc@1: 92.9688 (88.2812) Acc@5: 100.0000 (99.7396) Time: 0.426s, 300.56/s (0.456s, 280.64/s) LR: 4.740e-04 Data: 0.000 (0.022) +2024-12-27 12:58:55,605 - train: [ INFO] - Eval : 33 Time: 2.774 (2.774) Loss: 2.0590 (2.0590) Acc@1: 42.1875 (42.1875)Acc@5: 98.4375 (98.4375) +2024-12-27 12:58:56,407 - train: [ INFO] - Eval : 33 Time: 0.141 (0.596) Loss: 1.9943 (1.9509) Acc@1: 40.3846 (44.6237)Acc@5: 99.0385 (98.7903) +2024-12-27 12:58:59,368 - train: [ INFO] - Train: 34 [ 0/52 ( 0%)] Loss: 1.369666 (1.3697) Acc@1: 93.7500 (93.7500) Acc@5: 100.0000 (100.0000) Time: 1.864s, 68.68/s (1.864s, 68.68/s) LR: 4.656e-04 Data: 1.360 (1.360) +2024-12-27 12:59:21,102 - train: [ INFO] - Train: 34 [ 50/52 ( 98%)] Loss: 1.360539 (1.3651) Acc@1: 91.4062 (92.5781) Acc@5: 100.0000 (100.0000) Time: 0.419s, 305.39/s (0.461s, 277.45/s) LR: 4.656e-04 Data: 0.000 (0.028) +2024-12-27 12:59:21,525 - train: [ INFO] - Train: 34 [ 51/52 (100%)] Loss: 1.379328 (1.3698) Acc@1: 92.9688 (92.7083) Acc@5: 100.0000 (100.0000) Time: 0.419s, 305.50/s (0.461s, 277.94/s) LR: 4.656e-04 Data: 0.000 (0.028) +2024-12-27 12:59:23,803 - train: [ INFO] - Eval : 34 Time: 2.054 (2.054) Loss: 1.8415 (1.8415) Acc@1: 48.4375 (48.4375)Acc@5: 93.7500 (93.7500) +2024-12-27 12:59:24,593 - train: [ INFO] - Eval : 34 Time: 0.139 (0.474) Loss: 1.8873 (1.8587) Acc@1: 57.6923 (52.1505)Acc@5: 96.1538 (94.7581) +2024-12-27 12:59:28,419 - train: [ INFO] - Train: 35 [ 0/52 ( 0%)] Loss: 1.374899 (1.3749) Acc@1: 91.4062 (91.4062) Acc@5: 100.0000 (100.0000) Time: 2.756s, 46.44/s (2.756s, 46.44/s) LR: 4.571e-04 Data: 2.269 (2.269) +2024-12-27 12:59:50,121 - train: [ INFO] - Train: 35 [ 50/52 ( 98%)] Loss: 1.424648 (1.3998) Acc@1: 92.1875 (91.7969) Acc@5: 100.0000 (100.0000) Time: 0.436s, 293.64/s (0.478s, 267.57/s) LR: 4.571e-04 Data: 0.000 (0.046) +2024-12-27 12:59:50,556 - train: [ INFO] - Train: 35 [ 51/52 (100%)] Loss: 1.416874 (1.4055) Acc@1: 89.0625 (90.8854) Acc@5: 100.0000 (100.0000) Time: 0.432s, 296.04/s (0.478s, 268.06/s) LR: 4.571e-04 Data: 0.000 (0.045) +2024-12-27 12:59:52,701 - train: [ INFO] - Eval : 35 Time: 1.897 (1.897) Loss: 2.5950 (2.5950) Acc@1: 42.9688 (42.9688)Acc@5: 97.6562 (97.6562) +2024-12-27 12:59:53,463 - train: [ INFO] - Eval : 35 Time: 0.140 (0.443) Loss: 2.9113 (2.8188) Acc@1: 37.5000 (39.9194)Acc@5: 93.2692 (95.5645) +2024-12-27 12:59:57,531 - train: [ INFO] - Train: 36 [ 0/52 ( 0%)] Loss: 1.380104 (1.3801) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 3.126s, 40.95/s (3.126s, 40.95/s) LR: 4.484e-04 Data: 2.626 (2.626) +2024-12-27 13:00:19,459 - train: [ INFO] - Train: 36 [ 50/52 ( 98%)] Loss: 1.424943 (1.4025) Acc@1: 91.4062 (92.9688) Acc@5: 100.0000 (100.0000) Time: 0.422s, 303.39/s (0.490s, 261.16/s) LR: 4.484e-04 Data: 0.001 (0.053) +2024-12-27 13:00:19,890 - train: [ INFO] - Train: 36 [ 51/52 (100%)] Loss: 1.374146 (1.3931) Acc@1: 93.7500 (93.2292) Acc@5: 100.0000 (100.0000) Time: 0.427s, 299.66/s (0.489s, 261.81/s) LR: 4.484e-04 Data: 0.000 (0.052) +2024-12-27 13:00:22,085 - train: [ INFO] - Eval : 36 Time: 1.958 (1.958) Loss: 1.1270 (1.1270) Acc@1: 63.2812 (63.2812)Acc@5: 99.2188 (99.2188) +2024-12-27 13:00:22,850 - train: [ INFO] - Eval : 36 Time: 0.147 (0.454) Loss: 1.3349 (1.0968) Acc@1: 50.9615 (60.7527)Acc@5: 99.0385 (99.4624) +2024-12-27 13:00:26,861 - train: [ INFO] - Train: 37 [ 0/52 ( 0%)] Loss: 1.330535 (1.3305) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 3.086s, 41.47/s (3.086s, 41.47/s) LR: 4.396e-04 Data: 2.607 (2.607) +2024-12-27 13:00:48,604 - train: [ INFO] - Train: 37 [ 50/52 ( 98%)] Loss: 1.380478 (1.3555) Acc@1: 92.9688 (93.7500) Acc@5: 100.0000 (100.0000) Time: 0.422s, 303.54/s (0.486s, 263.40/s) LR: 4.396e-04 Data: 0.000 (0.052) +2024-12-27 13:00:49,028 - train: [ INFO] - Train: 37 [ 51/52 (100%)] Loss: 1.312536 (1.3412) Acc@1: 92.9688 (93.4896) Acc@5: 100.0000 (100.0000) Time: 0.421s, 304.36/s (0.485s, 264.08/s) LR: 4.396e-04 Data: 0.000 (0.051) +2024-12-27 13:00:50,873 - train: [ INFO] - Eval : 37 Time: 1.629 (1.629) Loss: 1.0897 (1.0897) Acc@1: 57.8125 (57.8125)Acc@5: 97.6562 (97.6562) +2024-12-27 13:00:51,627 - train: [ INFO] - Eval : 37 Time: 0.138 (0.397) Loss: 1.1409 (1.1313) Acc@1: 61.5385 (62.3656)Acc@5: 99.0385 (98.6559) +2024-12-27 13:00:52,584 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-37.pth.tar', 62.36559168497721) + +2024-12-27 13:00:55,659 - train: [ INFO] - Train: 38 [ 0/52 ( 0%)] Loss: 1.299829 (1.2998) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 3.061s, 41.81/s (3.061s, 41.81/s) LR: 4.307e-04 Data: 2.554 (2.554) +2024-12-27 13:01:17,282 - train: [ INFO] - Train: 38 [ 50/52 ( 98%)] Loss: 1.327651 (1.3137) Acc@1: 91.4062 (92.9688) Acc@5: 100.0000 (100.0000) Time: 0.421s, 303.85/s (0.483s, 264.81/s) LR: 4.307e-04 Data: 0.000 (0.051) +2024-12-27 13:01:17,705 - train: [ INFO] - Train: 38 [ 51/52 (100%)] Loss: 1.425417 (1.3510) Acc@1: 90.6250 (92.1875) Acc@5: 100.0000 (100.0000) Time: 0.419s, 305.33/s (0.482s, 265.49/s) LR: 4.307e-04 Data: 0.000 (0.050) +2024-12-27 13:01:20,829 - train: [ INFO] - Eval : 38 Time: 2.935 (2.935) Loss: 1.6071 (1.6071) Acc@1: 53.1250 (53.1250)Acc@5: 97.6562 (97.6562) +2024-12-27 13:01:21,638 - train: [ INFO] - Eval : 38 Time: 0.159 (0.624) Loss: 1.4389 (1.6532) Acc@1: 56.7308 (51.6129)Acc@5: 97.1154 (96.3710) +2024-12-27 13:01:25,571 - train: [ INFO] - Train: 39 [ 0/52 ( 0%)] Loss: 1.325853 (1.3259) Acc@1: 92.9688 (92.9688) Acc@5: 100.0000 (100.0000) Time: 2.975s, 43.03/s (2.975s, 43.03/s) LR: 4.217e-04 Data: 2.477 (2.477) +2024-12-27 13:01:47,143 - train: [ INFO] - Train: 39 [ 50/52 ( 98%)] Loss: 1.348121 (1.3370) Acc@1: 90.6250 (91.7969) Acc@5: 100.0000 (100.0000) Time: 0.425s, 301.46/s (0.480s, 266.50/s) LR: 4.217e-04 Data: 0.000 (0.050) +2024-12-27 13:01:47,568 - train: [ INFO] - Train: 39 [ 51/52 (100%)] Loss: 1.265360 (1.3131) Acc@1: 94.5312 (92.7083) Acc@5: 100.0000 (100.0000) Time: 0.421s, 303.89/s (0.479s, 267.14/s) LR: 4.217e-04 Data: 0.000 (0.049) +2024-12-27 13:01:50,199 - train: [ INFO] - Eval : 39 Time: 2.377 (2.377) Loss: 1.1296 (1.1296) Acc@1: 66.4062 (66.4062)Acc@5: 98.4375 (98.4375) +2024-12-27 13:01:51,018 - train: [ INFO] - Eval : 39 Time: 0.165 (0.533) Loss: 1.3808 (1.2799) Acc@1: 50.0000 (57.3925)Acc@5: 95.1923 (96.5054) +2024-12-27 13:01:54,235 - train: [ INFO] - Train: 40 [ 0/52 ( 0%)] Loss: 1.390195 (1.3902) Acc@1: 92.9688 (92.9688) Acc@5: 99.2188 (99.2188) Time: 2.257s, 56.71/s (2.257s, 56.71/s) LR: 4.125e-04 Data: 1.779 (1.779) +2024-12-27 13:02:16,410 - train: [ INFO] - Train: 40 [ 50/52 ( 98%)] Loss: 1.305146 (1.3477) Acc@1: 95.3125 (94.1406) Acc@5: 100.0000 (99.6094) Time: 0.421s, 303.73/s (0.478s, 267.83/s) LR: 4.125e-04 Data: 0.000 (0.037) +2024-12-27 13:02:16,835 - train: [ INFO] - Train: 40 [ 51/52 (100%)] Loss: 1.400018 (1.3651) Acc@1: 86.7188 (91.6667) Acc@5: 100.0000 (99.7396) Time: 0.421s, 303.96/s (0.477s, 268.44/s) LR: 4.125e-04 Data: 0.000 (0.036) +2024-12-27 13:02:19,030 - train: [ INFO] - Eval : 40 Time: 1.984 (1.984) Loss: 1.3238 (1.3238) Acc@1: 60.1562 (60.1562)Acc@5: 96.8750 (96.8750) +2024-12-27 13:02:19,829 - train: [ INFO] - Eval : 40 Time: 0.145 (0.464) Loss: 1.2922 (1.2890) Acc@1: 51.9231 (54.9731)Acc@5: 100.0000 (98.9247) +2024-12-27 13:02:23,675 - train: [ INFO] - Train: 41 [ 0/52 ( 0%)] Loss: 1.256961 (1.2570) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 2.903s, 44.09/s (2.903s, 44.09/s) LR: 4.033e-04 Data: 2.416 (2.416) +2024-12-27 13:02:45,325 - train: [ INFO] - Train: 41 [ 50/52 ( 98%)] Loss: 1.351921 (1.3044) Acc@1: 91.4062 (92.9688) Acc@5: 100.0000 (100.0000) Time: 0.431s, 297.07/s (0.481s, 266.27/s) LR: 4.033e-04 Data: 0.000 (0.049) +2024-12-27 13:02:45,757 - train: [ INFO] - Train: 41 [ 51/52 (100%)] Loss: 1.419297 (1.3427) Acc@1: 86.7188 (90.8854) Acc@5: 100.0000 (100.0000) Time: 0.428s, 298.99/s (0.480s, 266.83/s) LR: 4.033e-04 Data: 0.000 (0.048) +2024-12-27 13:02:47,973 - train: [ INFO] - Eval : 41 Time: 2.033 (2.033) Loss: 1.3455 (1.3455) Acc@1: 57.0312 (57.0312)Acc@5: 96.0938 (96.0938) +2024-12-27 13:02:48,751 - train: [ INFO] - Eval : 41 Time: 0.146 (0.468) Loss: 1.2666 (1.2450) Acc@1: 58.6538 (59.1398)Acc@5: 95.1923 (96.1022) +2024-12-27 13:02:52,131 - train: [ INFO] - Train: 42 [ 0/52 ( 0%)] Loss: 1.318663 (1.3187) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 2.390s, 53.56/s (2.390s, 53.56/s) LR: 3.940e-04 Data: 1.908 (1.908) +2024-12-27 13:03:13,819 - train: [ INFO] - Train: 42 [ 50/52 ( 98%)] Loss: 1.400975 (1.3598) Acc@1: 90.6250 (93.7500) Acc@5: 100.0000 (100.0000) Time: 0.435s, 294.29/s (0.471s, 271.63/s) LR: 3.940e-04 Data: 0.000 (0.038) +2024-12-27 13:03:14,251 - train: [ INFO] - Train: 42 [ 51/52 (100%)] Loss: 1.250327 (1.3233) Acc@1: 93.7500 (93.7500) Acc@5: 100.0000 (100.0000) Time: 0.429s, 298.59/s (0.470s, 272.11/s) LR: 3.940e-04 Data: 0.000 (0.038) +2024-12-27 13:03:16,954 - train: [ INFO] - Eval : 42 Time: 2.508 (2.508) Loss: 1.4849 (1.4849) Acc@1: 51.5625 (51.5625)Acc@5: 97.6562 (97.6562) +2024-12-27 13:03:17,712 - train: [ INFO] - Eval : 42 Time: 0.141 (0.544) Loss: 1.6787 (1.5639) Acc@1: 48.0769 (49.0591)Acc@5: 97.1154 (97.5806) +2024-12-27 13:03:20,759 - train: [ INFO] - Train: 43 [ 0/52 ( 0%)] Loss: 1.235222 (1.2352) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 2.064s, 62.02/s (2.064s, 62.02/s) LR: 3.846e-04 Data: 1.558 (1.558) +2024-12-27 13:03:42,719 - train: [ INFO] - Train: 43 [ 50/52 ( 98%)] Loss: 1.216612 (1.2259) Acc@1: 97.6562 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.426s, 300.28/s (0.470s, 272.28/s) LR: 3.846e-04 Data: 0.000 (0.033) +2024-12-27 13:03:43,147 - train: [ INFO] - Train: 43 [ 51/52 (100%)] Loss: 1.342127 (1.2647) Acc@1: 94.5312 (96.3542) Acc@5: 100.0000 (100.0000) Time: 0.425s, 301.50/s (0.469s, 272.78/s) LR: 3.846e-04 Data: 0.000 (0.032) +2024-12-27 13:03:46,142 - train: [ INFO] - Eval : 43 Time: 2.798 (2.798) Loss: 1.3141 (1.3141) Acc@1: 54.6875 (54.6875)Acc@5: 99.2188 (99.2188) +2024-12-27 13:03:46,931 - train: [ INFO] - Eval : 43 Time: 0.137 (0.598) Loss: 1.3598 (1.2602) Acc@1: 52.8846 (55.7796)Acc@5: 95.1923 (97.3118) +2024-12-27 13:03:49,617 - train: [ INFO] - Train: 44 [ 0/52 ( 0%)] Loss: 1.227439 (1.2274) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 1.674s, 76.47/s (1.674s, 76.47/s) LR: 3.751e-04 Data: 1.151 (1.151) +2024-12-27 13:04:11,353 - train: [ INFO] - Train: 44 [ 50/52 ( 98%)] Loss: 1.388919 (1.3082) Acc@1: 91.4062 (93.3594) Acc@5: 100.0000 (100.0000) Time: 0.432s, 296.32/s (0.458s, 279.75/s) LR: 3.751e-04 Data: 0.000 (0.024) +2024-12-27 13:04:11,781 - train: [ INFO] - Train: 44 [ 51/52 (100%)] Loss: 1.234645 (1.2837) Acc@1: 94.5312 (93.7500) Acc@5: 100.0000 (100.0000) Time: 0.425s, 301.34/s (0.457s, 280.14/s) LR: 3.751e-04 Data: 0.000 (0.023) +2024-12-27 13:04:14,036 - train: [ INFO] - Eval : 44 Time: 2.030 (2.030) Loss: 1.3187 (1.3187) Acc@1: 57.0312 (57.0312)Acc@5: 93.7500 (93.7500) +2024-12-27 13:04:14,802 - train: [ INFO] - Eval : 44 Time: 0.142 (0.466) Loss: 1.3316 (1.3260) Acc@1: 55.7692 (56.5860)Acc@5: 96.1538 (95.5645) +2024-12-27 13:04:18,575 - train: [ INFO] - Train: 45 [ 0/52 ( 0%)] Loss: 1.228057 (1.2281) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 2.757s, 46.43/s (2.757s, 46.43/s) LR: 3.656e-04 Data: 2.287 (2.287) +2024-12-27 13:04:40,205 - train: [ INFO] - Train: 45 [ 50/52 ( 98%)] Loss: 1.217646 (1.2229) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.421s, 304.39/s (0.477s, 268.17/s) LR: 3.656e-04 Data: 0.000 (0.046) +2024-12-27 13:04:40,633 - train: [ INFO] - Train: 45 [ 51/52 (100%)] Loss: 1.330573 (1.2588) Acc@1: 93.7500 (95.3125) Acc@5: 100.0000 (100.0000) Time: 0.425s, 301.27/s (0.476s, 268.74/s) LR: 3.656e-04 Data: 0.000 (0.045) +2024-12-27 13:04:42,329 - train: [ INFO] - Eval : 45 Time: 1.541 (1.541) Loss: 1.0306 (1.0306) Acc@1: 67.9688 (67.9688)Acc@5: 97.6562 (97.6562) +2024-12-27 13:04:43,088 - train: [ INFO] - Eval : 45 Time: 0.139 (0.383) Loss: 1.1818 (1.0066) Acc@1: 58.6538 (65.8602)Acc@5: 98.0769 (97.8495) +2024-12-27 13:04:44,141 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-45.pth.tar', 65.86021513579995) + +2024-12-27 13:04:47,131 - train: [ INFO] - Train: 46 [ 0/52 ( 0%)] Loss: 1.212513 (1.2125) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 2.978s, 42.98/s (2.978s, 42.98/s) LR: 3.560e-04 Data: 2.468 (2.468) +2024-12-27 13:05:08,875 - train: [ INFO] - Train: 46 [ 50/52 ( 98%)] Loss: 1.299046 (1.2558) Acc@1: 92.9688 (94.9219) Acc@5: 100.0000 (100.0000) Time: 0.428s, 299.28/s (0.484s, 264.57/s) LR: 3.560e-04 Data: 0.000 (0.049) +2024-12-27 13:05:09,303 - train: [ INFO] - Train: 46 [ 51/52 (100%)] Loss: 1.301896 (1.2712) Acc@1: 97.6562 (95.8333) Acc@5: 100.0000 (100.0000) Time: 0.425s, 301.21/s (0.483s, 265.19/s) LR: 3.560e-04 Data: 0.000 (0.048) +2024-12-27 13:05:12,131 - train: [ INFO] - Eval : 46 Time: 2.648 (2.648) Loss: 1.3609 (1.3609) Acc@1: 53.9062 (53.9062)Acc@5: 95.3125 (95.3125) +2024-12-27 13:05:12,957 - train: [ INFO] - Eval : 46 Time: 0.177 (0.579) Loss: 1.3142 (1.3066) Acc@1: 54.8077 (54.5699)Acc@5: 95.1923 (96.7742) +2024-12-27 13:05:16,884 - train: [ INFO] - Train: 47 [ 0/52 ( 0%)] Loss: 1.185046 (1.1850) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.927s, 43.72/s (2.927s, 43.72/s) LR: 3.464e-04 Data: 2.468 (2.468) +2024-12-27 13:05:38,535 - train: [ INFO] - Train: 47 [ 50/52 ( 98%)] Loss: 1.283241 (1.2341) Acc@1: 92.9688 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.420s, 304.50/s (0.480s, 266.43/s) LR: 3.464e-04 Data: 0.000 (0.049) +2024-12-27 13:05:38,961 - train: [ INFO] - Train: 47 [ 51/52 (100%)] Loss: 1.230987 (1.2331) Acc@1: 96.8750 (96.3542) Acc@5: 100.0000 (100.0000) Time: 0.422s, 303.10/s (0.479s, 267.05/s) LR: 3.464e-04 Data: 0.000 (0.049) +2024-12-27 13:05:42,023 - train: [ INFO] - Eval : 47 Time: 2.865 (2.865) Loss: 1.0474 (1.0474) Acc@1: 66.4062 (66.4062)Acc@5: 96.8750 (96.8750) +2024-12-27 13:05:42,788 - train: [ INFO] - Eval : 47 Time: 0.139 (0.605) Loss: 1.0307 (1.1287) Acc@1: 65.3846 (63.1720)Acc@5: 100.0000 (98.3871) +2024-12-27 13:05:46,158 - train: [ INFO] - Train: 48 [ 0/52 ( 0%)] Loss: 1.261347 (1.2613) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 2.292s, 55.84/s (2.292s, 55.84/s) LR: 3.368e-04 Data: 1.828 (1.828) +2024-12-27 13:06:07,765 - train: [ INFO] - Train: 48 [ 50/52 ( 98%)] Loss: 1.240684 (1.2510) Acc@1: 96.8750 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.425s, 301.41/s (0.468s, 273.68/s) LR: 3.368e-04 Data: 0.000 (0.037) +2024-12-27 13:06:08,191 - train: [ INFO] - Train: 48 [ 51/52 (100%)] Loss: 1.325135 (1.2757) Acc@1: 92.1875 (94.7917) Acc@5: 100.0000 (100.0000) Time: 0.422s, 303.16/s (0.467s, 274.20/s) LR: 3.368e-04 Data: 0.000 (0.036) +2024-12-27 13:06:10,902 - train: [ INFO] - Eval : 48 Time: 2.512 (2.512) Loss: 1.5260 (1.5260) Acc@1: 49.2188 (49.2188)Acc@5: 96.8750 (96.8750) +2024-12-27 13:06:11,666 - train: [ INFO] - Eval : 48 Time: 0.141 (0.546) Loss: 1.3372 (1.4849) Acc@1: 56.7308 (53.0914)Acc@5: 96.1538 (97.1774) +2024-12-27 13:06:14,503 - train: [ INFO] - Train: 49 [ 0/52 ( 0%)] Loss: 1.188182 (1.1882) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.786s, 71.68/s (1.786s, 71.68/s) LR: 3.272e-04 Data: 1.285 (1.285) +2024-12-27 13:06:36,269 - train: [ INFO] - Train: 49 [ 50/52 ( 98%)] Loss: 1.185984 (1.1871) Acc@1: 96.8750 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.419s, 305.59/s (0.461s, 277.63/s) LR: 3.272e-04 Data: 0.000 (0.026) +2024-12-27 13:06:36,697 - train: [ INFO] - Train: 49 [ 51/52 (100%)] Loss: 1.187976 (1.1874) Acc@1: 99.2188 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.424s, 301.68/s (0.460s, 278.05/s) LR: 3.272e-04 Data: 0.000 (0.026) +2024-12-27 13:06:38,426 - train: [ INFO] - Eval : 49 Time: 1.539 (1.539) Loss: 1.0288 (1.0288) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-27 13:06:39,192 - train: [ INFO] - Eval : 49 Time: 0.139 (0.384) Loss: 0.9441 (1.1644) Acc@1: 69.2308 (61.9624)Acc@5: 97.1154 (97.7151) +2024-12-27 13:06:43,188 - train: [ INFO] - Train: 50 [ 0/52 ( 0%)] Loss: 1.170631 (1.1706) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 2.970s, 43.09/s (2.970s, 43.09/s) LR: 3.175e-04 Data: 2.462 (2.462) +2024-12-27 13:07:04,827 - train: [ INFO] - Train: 50 [ 50/52 ( 98%)] Loss: 1.202428 (1.1865) Acc@1: 96.8750 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.434s, 294.93/s (0.482s, 265.80/s) LR: 3.175e-04 Data: 0.000 (0.050) +2024-12-27 13:07:05,262 - train: [ INFO] - Train: 50 [ 51/52 (100%)] Loss: 1.237065 (1.2034) Acc@1: 92.9688 (95.8333) Acc@5: 100.0000 (100.0000) Time: 0.432s, 295.97/s (0.481s, 266.32/s) LR: 3.175e-04 Data: 0.000 (0.049) +2024-12-27 13:07:06,825 - train: [ INFO] - Eval : 50 Time: 1.317 (1.317) Loss: 1.0465 (1.0465) Acc@1: 61.7188 (61.7188)Acc@5: 98.4375 (98.4375) +2024-12-27 13:07:07,567 - train: [ INFO] - Eval : 50 Time: 0.139 (0.343) Loss: 0.8974 (0.9509) Acc@1: 72.1154 (65.9946)Acc@5: 98.0769 (97.9839) +2024-12-27 13:07:08,526 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-50.pth.tar', 65.99462398405998) + +2024-12-27 13:07:11,605 - train: [ INFO] - Train: 51 [ 0/52 ( 0%)] Loss: 1.149797 (1.1498) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 3.058s, 41.85/s (3.058s, 41.85/s) LR: 3.078e-04 Data: 2.527 (2.527) +2024-12-27 13:07:33,444 - train: [ INFO] - Train: 51 [ 50/52 ( 98%)] Loss: 1.137985 (1.1439) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.422s, 303.27/s (0.487s, 262.77/s) LR: 3.078e-04 Data: 0.000 (0.051) +2024-12-27 13:07:33,867 - train: [ INFO] - Train: 51 [ 51/52 (100%)] Loss: 1.198480 (1.1621) Acc@1: 96.8750 (98.1771) Acc@5: 99.2188 (99.7396) Time: 0.420s, 305.04/s (0.486s, 263.48/s) LR: 3.078e-04 Data: 0.000 (0.050) +2024-12-27 13:07:36,783 - train: [ INFO] - Eval : 51 Time: 2.755 (2.755) Loss: 1.0623 (1.0623) Acc@1: 70.3125 (70.3125)Acc@5: 99.2188 (99.2188) +2024-12-27 13:07:37,548 - train: [ INFO] - Eval : 51 Time: 0.145 (0.587) Loss: 1.0412 (1.0389) Acc@1: 63.4615 (65.0538)Acc@5: 97.1154 (98.3871) +2024-12-27 13:07:41,501 - train: [ INFO] - Train: 52 [ 0/52 ( 0%)] Loss: 1.275297 (1.2753) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 2.921s, 43.82/s (2.921s, 43.82/s) LR: 2.982e-04 Data: 2.420 (2.420) +2024-12-27 13:08:03,181 - train: [ INFO] - Train: 52 [ 50/52 ( 98%)] Loss: 1.183604 (1.2295) Acc@1: 97.6562 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.421s, 303.79/s (0.481s, 265.97/s) LR: 2.982e-04 Data: 0.000 (0.049) +2024-12-27 13:08:03,604 - train: [ INFO] - Train: 52 [ 51/52 (100%)] Loss: 1.166286 (1.2084) Acc@1: 98.4375 (97.1354) Acc@5: 100.0000 (100.0000) Time: 0.420s, 305.03/s (0.480s, 266.62/s) LR: 2.982e-04 Data: 0.000 (0.048) +2024-12-27 13:08:06,349 - train: [ INFO] - Eval : 52 Time: 2.602 (2.602) Loss: 1.3226 (1.3226) Acc@1: 53.1250 (53.1250)Acc@5: 97.6562 (97.6562) +2024-12-27 13:08:07,110 - train: [ INFO] - Eval : 52 Time: 0.145 (0.560) Loss: 1.1087 (1.2255) Acc@1: 60.5769 (57.1237)Acc@5: 99.0385 (98.5215) +2024-12-27 13:08:10,344 - train: [ INFO] - Train: 53 [ 0/52 ( 0%)] Loss: 1.141941 (1.1419) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.153s, 59.46/s (2.153s, 59.46/s) LR: 2.886e-04 Data: 1.650 (1.650) +2024-12-27 13:08:32,172 - train: [ INFO] - Train: 53 [ 50/52 ( 98%)] Loss: 1.139901 (1.1409) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.462s, 277.24/s (0.470s, 272.62/s) LR: 2.886e-04 Data: 0.000 (0.033) +2024-12-27 13:08:32,603 - train: [ INFO] - Train: 53 [ 51/52 (100%)] Loss: 1.119923 (1.1339) Acc@1: 97.6562 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.427s, 299.52/s (0.469s, 273.10/s) LR: 2.886e-04 Data: 0.000 (0.033) +2024-12-27 13:08:35,610 - train: [ INFO] - Eval : 53 Time: 2.845 (2.845) Loss: 1.0823 (1.0823) Acc@1: 66.4062 (66.4062)Acc@5: 96.8750 (96.8750) +2024-12-27 13:08:36,398 - train: [ INFO] - Eval : 53 Time: 0.139 (0.605) Loss: 1.2076 (1.2079) Acc@1: 67.3077 (62.0968)Acc@5: 99.0385 (96.3710) +2024-12-27 13:08:39,051 - train: [ INFO] - Train: 54 [ 0/52 ( 0%)] Loss: 1.151274 (1.1513) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.652s, 77.50/s (1.652s, 77.50/s) LR: 2.790e-04 Data: 1.169 (1.169) +2024-12-27 13:09:00,614 - train: [ INFO] - Train: 54 [ 50/52 ( 98%)] Loss: 1.151364 (1.1513) Acc@1: 97.6562 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.423s, 302.89/s (0.454s, 281.76/s) LR: 2.790e-04 Data: 0.000 (0.024) +2024-12-27 13:09:01,037 - train: [ INFO] - Train: 54 [ 51/52 (100%)] Loss: 1.219786 (1.1741) Acc@1: 95.3125 (97.1354) Acc@5: 100.0000 (100.0000) Time: 0.420s, 304.45/s (0.454s, 282.16/s) LR: 2.790e-04 Data: 0.000 (0.024) +2024-12-27 13:09:02,937 - train: [ INFO] - Eval : 54 Time: 1.744 (1.744) Loss: 1.6930 (1.6930) Acc@1: 44.5312 (44.5312)Acc@5: 98.4375 (98.4375) +2024-12-27 13:09:03,716 - train: [ INFO] - Eval : 54 Time: 0.142 (0.421) Loss: 2.1108 (1.9072) Acc@1: 40.3846 (43.0108)Acc@5: 95.1923 (96.3710) +2024-12-27 13:09:07,260 - train: [ INFO] - Train: 55 [ 0/52 ( 0%)] Loss: 1.118678 (1.1187) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.600s, 49.23/s (2.600s, 49.23/s) LR: 2.694e-04 Data: 2.114 (2.114) +2024-12-27 13:09:28,782 - train: [ INFO] - Train: 55 [ 50/52 ( 98%)] Loss: 1.118209 (1.1184) Acc@1: 97.6562 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.428s, 298.92/s (0.472s, 271.09/s) LR: 2.694e-04 Data: 0.000 (0.042) +2024-12-27 13:09:29,211 - train: [ INFO] - Train: 55 [ 51/52 (100%)] Loss: 1.130502 (1.1225) Acc@1: 97.6562 (97.9167) Acc@5: 100.0000 (100.0000) Time: 0.427s, 300.11/s (0.471s, 271.59/s) LR: 2.694e-04 Data: 0.000 (0.042) +2024-12-27 13:09:31,010 - train: [ INFO] - Eval : 55 Time: 1.628 (1.628) Loss: 1.0728 (1.0728) Acc@1: 64.0625 (64.0625)Acc@5: 96.8750 (96.8750) +2024-12-27 13:09:31,782 - train: [ INFO] - Eval : 55 Time: 0.147 (0.400) Loss: 1.0111 (1.0811) Acc@1: 72.1154 (64.9194)Acc@5: 96.1538 (96.6398) +2024-12-27 13:09:35,381 - train: [ INFO] - Train: 56 [ 0/52 ( 0%)] Loss: 1.092364 (1.0924) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.674s, 47.86/s (2.674s, 47.86/s) LR: 2.599e-04 Data: 2.219 (2.219) +2024-12-27 13:09:57,324 - train: [ INFO] - Train: 56 [ 50/52 ( 98%)] Loss: 1.148928 (1.1206) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.473s, 270.59/s (0.481s, 265.94/s) LR: 2.599e-04 Data: 0.000 (0.045) +2024-12-27 13:09:57,766 - train: [ INFO] - Train: 56 [ 51/52 (100%)] Loss: 1.126096 (1.1225) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.439s, 291.65/s (0.480s, 266.39/s) LR: 2.599e-04 Data: 0.000 (0.044) +2024-12-27 13:10:00,222 - train: [ INFO] - Eval : 56 Time: 2.244 (2.244) Loss: 1.2584 (1.2584) Acc@1: 62.5000 (62.5000)Acc@5: 97.6562 (97.6562) +2024-12-27 13:10:01,012 - train: [ INFO] - Eval : 56 Time: 0.150 (0.506) Loss: 1.1924 (1.2762) Acc@1: 65.3846 (59.2742)Acc@5: 98.0769 (97.9839) +2024-12-27 13:10:04,751 - train: [ INFO] - Train: 57 [ 0/52 ( 0%)] Loss: 1.126214 (1.1262) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.743s, 46.67/s (2.743s, 46.67/s) LR: 2.504e-04 Data: 2.216 (2.216) +2024-12-27 13:10:26,316 - train: [ INFO] - Train: 57 [ 50/52 ( 98%)] Loss: 1.128223 (1.1272) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.430s, 297.58/s (0.476s, 268.94/s) LR: 2.504e-04 Data: 0.000 (0.045) +2024-12-27 13:10:26,743 - train: [ INFO] - Train: 57 [ 51/52 (100%)] Loss: 1.071170 (1.1085) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.424s, 302.13/s (0.475s, 269.51/s) LR: 2.504e-04 Data: 0.000 (0.044) +2024-12-27 13:10:29,510 - train: [ INFO] - Eval : 57 Time: 2.534 (2.534) Loss: 1.0242 (1.0242) Acc@1: 67.1875 (67.1875)Acc@5: 96.0938 (96.0938) +2024-12-27 13:10:30,408 - train: [ INFO] - Eval : 57 Time: 0.207 (0.572) Loss: 0.9584 (1.0224) Acc@1: 68.2692 (66.2634)Acc@5: 98.0769 (97.3118) +2024-12-27 13:10:31,379 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-57.pth.tar', 66.26344127039755) + +2024-12-27 13:10:33,100 - train: [ INFO] - Train: 58 [ 0/52 ( 0%)] Loss: 1.096318 (1.0963) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.695s, 75.53/s (1.695s, 75.53/s) LR: 2.410e-04 Data: 1.217 (1.217) +2024-12-27 13:10:54,729 - train: [ INFO] - Train: 58 [ 50/52 ( 98%)] Loss: 1.101514 (1.0989) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.439s, 291.26/s (0.457s, 280.32/s) LR: 2.410e-04 Data: 0.000 (0.025) +2024-12-27 13:10:55,189 - train: [ INFO] - Train: 58 [ 51/52 (100%)] Loss: 1.268301 (1.1554) Acc@1: 96.0938 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.449s, 285.25/s (0.456s, 280.41/s) LR: 2.410e-04 Data: 0.000 (0.024) +2024-12-27 13:10:58,264 - train: [ INFO] - Eval : 58 Time: 2.843 (2.843) Loss: 1.1029 (1.1029) Acc@1: 61.7188 (61.7188)Acc@5: 99.2188 (99.2188) +2024-12-27 13:10:59,027 - train: [ INFO] - Eval : 58 Time: 0.136 (0.601) Loss: 1.2824 (1.2406) Acc@1: 58.6538 (58.6022)Acc@5: 97.1154 (97.0430) +2024-12-27 13:11:01,700 - train: [ INFO] - Train: 59 [ 0/52 ( 0%)] Loss: 1.094994 (1.0950) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.714s, 74.68/s (1.714s, 74.68/s) LR: 2.317e-04 Data: 1.218 (1.218) +2024-12-27 13:11:23,292 - train: [ INFO] - Train: 59 [ 50/52 ( 98%)] Loss: 1.089031 (1.0920) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.420s, 304.61/s (0.456s, 280.82/s) LR: 2.317e-04 Data: 0.000 (0.025) +2024-12-27 13:11:23,715 - train: [ INFO] - Train: 59 [ 51/52 (100%)] Loss: 1.083381 (1.0891) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.420s, 304.89/s (0.455s, 281.25/s) LR: 2.317e-04 Data: 0.000 (0.024) +2024-12-27 13:11:26,699 - train: [ INFO] - Eval : 59 Time: 2.770 (2.770) Loss: 1.5095 (1.5095) Acc@1: 50.7812 (50.7812)Acc@5: 91.4062 (91.4062) +2024-12-27 13:11:27,467 - train: [ INFO] - Eval : 59 Time: 0.139 (0.590) Loss: 1.3956 (1.2772) Acc@1: 51.9231 (56.8548)Acc@5: 98.0769 (96.3710) +2024-12-27 13:11:30,961 - train: [ INFO] - Train: 60 [ 0/52 ( 0%)] Loss: 1.128947 (1.1289) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 2.526s, 50.67/s (2.526s, 50.67/s) LR: 2.225e-04 Data: 2.014 (2.014) +2024-12-27 13:11:52,767 - train: [ INFO] - Train: 60 [ 50/52 ( 98%)] Loss: 1.141983 (1.1355) Acc@1: 96.8750 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.433s, 295.53/s (0.476s, 268.85/s) LR: 2.225e-04 Data: 0.000 (0.041) +2024-12-27 13:11:53,202 - train: [ INFO] - Train: 60 [ 51/52 (100%)] Loss: 1.094526 (1.1218) Acc@1: 99.2188 (97.3958) Acc@5: 100.0000 (100.0000) Time: 0.431s, 297.13/s (0.475s, 269.34/s) LR: 2.225e-04 Data: 0.000 (0.040) +2024-12-27 13:11:55,982 - train: [ INFO] - Eval : 60 Time: 2.567 (2.567) Loss: 1.0690 (1.0690) Acc@1: 63.2812 (63.2812)Acc@5: 96.8750 (96.8750) +2024-12-27 13:11:56,753 - train: [ INFO] - Eval : 60 Time: 0.136 (0.557) Loss: 0.8663 (1.0096) Acc@1: 73.0769 (66.5323)Acc@5: 99.0385 (97.9839) +2024-12-27 13:11:57,722 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-60.pth.tar', 66.53225863877164) + +2024-12-27 13:11:59,414 - train: [ INFO] - Train: 61 [ 0/52 ( 0%)] Loss: 1.111759 (1.1118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.675s, 76.43/s (1.675s, 76.43/s) LR: 2.133e-04 Data: 1.175 (1.175) +2024-12-27 13:12:21,024 - train: [ INFO] - Train: 61 [ 50/52 ( 98%)] Loss: 1.044491 (1.0781) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.419s, 305.75/s (0.456s, 280.76/s) LR: 2.133e-04 Data: 0.000 (0.024) +2024-12-27 13:12:21,458 - train: [ INFO] - Train: 61 [ 51/52 (100%)] Loss: 1.146547 (1.1009) Acc@1: 96.8750 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.428s, 298.84/s (0.455s, 281.08/s) LR: 2.133e-04 Data: 0.000 (0.024) +2024-12-27 13:12:23,201 - train: [ INFO] - Eval : 61 Time: 1.553 (1.553) Loss: 0.8981 (0.8981) Acc@1: 67.9688 (67.9688)Acc@5: 96.8750 (96.8750) +2024-12-27 13:12:23,947 - train: [ INFO] - Eval : 61 Time: 0.139 (0.383) Loss: 0.8351 (0.9200) Acc@1: 73.0769 (67.7419)Acc@5: 100.0000 (98.5215) +2024-12-27 13:12:24,848 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-61.pth.tar', 67.74193605812647) + +2024-12-27 13:12:27,630 - train: [ INFO] - Train: 62 [ 0/52 ( 0%)] Loss: 1.165688 (1.1657) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 2.762s, 46.34/s (2.762s, 46.34/s) LR: 2.043e-04 Data: 2.261 (2.261) +2024-12-27 13:12:49,270 - train: [ INFO] - Train: 62 [ 50/52 ( 98%)] Loss: 1.092800 (1.1292) Acc@1: 99.2188 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.425s, 301.13/s (0.478s, 267.98/s) LR: 2.043e-04 Data: 0.000 (0.045) +2024-12-27 13:12:49,701 - train: [ INFO] - Train: 62 [ 51/52 (100%)] Loss: 1.120795 (1.1264) Acc@1: 97.6562 (97.9167) Acc@5: 100.0000 (100.0000) Time: 0.427s, 299.56/s (0.477s, 268.53/s) LR: 2.043e-04 Data: 0.000 (0.044) +2024-12-27 13:12:51,244 - train: [ INFO] - Eval : 62 Time: 1.299 (1.299) Loss: 1.2711 (1.2711) Acc@1: 57.8125 (57.8125)Acc@5: 96.0938 (96.0938) +2024-12-27 13:12:52,001 - train: [ INFO] - Eval : 62 Time: 0.142 (0.343) Loss: 1.0115 (1.1333) Acc@1: 65.3846 (62.9032)Acc@5: 100.0000 (97.7151) +2024-12-27 13:12:54,472 - train: [ INFO] - Train: 63 [ 0/52 ( 0%)] Loss: 1.159886 (1.1599) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.556s, 82.27/s (1.556s, 82.27/s) LR: 1.954e-04 Data: 1.072 (1.072) +2024-12-27 13:13:15,997 - train: [ INFO] - Train: 63 [ 50/52 ( 98%)] Loss: 1.085697 (1.1228) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.422s, 303.34/s (0.452s, 283.26/s) LR: 1.954e-04 Data: 0.000 (0.022) +2024-12-27 13:13:16,428 - train: [ INFO] - Train: 63 [ 51/52 (100%)] Loss: 1.065564 (1.1037) Acc@1: 99.2188 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.427s, 299.55/s (0.451s, 283.56/s) LR: 1.954e-04 Data: 0.000 (0.021) +2024-12-27 13:13:17,837 - train: [ INFO] - Eval : 63 Time: 1.213 (1.213) Loss: 1.2017 (1.2017) Acc@1: 60.1562 (60.1562)Acc@5: 98.4375 (98.4375) +2024-12-27 13:13:18,604 - train: [ INFO] - Eval : 63 Time: 0.146 (0.330) Loss: 1.4056 (1.1845) Acc@1: 49.0385 (59.8118)Acc@5: 95.1923 (97.9839) +2024-12-27 13:13:21,220 - train: [ INFO] - Train: 64 [ 0/52 ( 0%)] Loss: 1.063289 (1.0633) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.602s, 79.89/s (1.602s, 79.89/s) LR: 1.866e-04 Data: 1.134 (1.134) +2024-12-27 13:13:43,089 - train: [ INFO] - Train: 64 [ 50/52 ( 98%)] Loss: 1.041503 (1.0524) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.423s, 302.89/s (0.459s, 278.66/s) LR: 1.866e-04 Data: 0.000 (0.023) +2024-12-27 13:13:43,529 - train: [ INFO] - Train: 64 [ 51/52 (100%)] Loss: 1.051584 (1.0521) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.437s, 293.23/s (0.459s, 278.93/s) LR: 1.866e-04 Data: 0.000 (0.023) +2024-12-27 13:13:45,141 - train: [ INFO] - Eval : 64 Time: 1.400 (1.400) Loss: 1.1281 (1.1281) Acc@1: 60.9375 (60.9375)Acc@5: 96.8750 (96.8750) +2024-12-27 13:13:45,916 - train: [ INFO] - Eval : 64 Time: 0.142 (0.363) Loss: 0.9619 (0.9007) Acc@1: 66.3462 (70.8333)Acc@5: 98.0769 (98.2527) +2024-12-27 13:13:46,857 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-64.pth.tar', 70.83333325129684) + +2024-12-27 13:13:48,317 - train: [ INFO] - Train: 65 [ 0/52 ( 0%)] Loss: 1.074181 (1.0742) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.437s, 89.10/s (1.437s, 89.10/s) LR: 1.779e-04 Data: 0.989 (0.989) +2024-12-27 13:14:10,040 - train: [ INFO] - Train: 65 [ 50/52 ( 98%)] Loss: 1.128440 (1.1013) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.425s, 301.17/s (0.453s, 282.30/s) LR: 1.779e-04 Data: 0.000 (0.020) +2024-12-27 13:14:10,467 - train: [ INFO] - Train: 65 [ 51/52 (100%)] Loss: 1.118528 (1.1070) Acc@1: 98.4375 (98.4375) Acc@5: 99.2188 (99.7396) Time: 0.424s, 301.89/s (0.453s, 282.65/s) LR: 1.779e-04 Data: 0.000 (0.020) +2024-12-27 13:14:11,926 - train: [ INFO] - Eval : 65 Time: 1.286 (1.286) Loss: 1.0525 (1.0525) Acc@1: 64.8438 (64.8438)Acc@5: 99.2188 (99.2188) +2024-12-27 13:14:12,699 - train: [ INFO] - Eval : 65 Time: 0.143 (0.343) Loss: 0.8316 (0.9855) Acc@1: 69.2308 (67.0699)Acc@5: 100.0000 (97.9839) +2024-12-27 13:14:15,143 - train: [ INFO] - Train: 66 [ 0/52 ( 0%)] Loss: 1.037968 (1.0380) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.524s, 83.99/s (1.524s, 83.99/s) LR: 1.694e-04 Data: 1.042 (1.042) +2024-12-27 13:14:36,736 - train: [ INFO] - Train: 66 [ 50/52 ( 98%)] Loss: 1.112036 (1.0750) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.430s, 297.78/s (0.453s, 282.78/s) LR: 1.694e-04 Data: 0.000 (0.021) +2024-12-27 13:14:37,164 - train: [ INFO] - Train: 66 [ 51/52 (100%)] Loss: 1.054411 (1.0681) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.424s, 301.82/s (0.452s, 283.12/s) LR: 1.694e-04 Data: 0.000 (0.021) +2024-12-27 13:14:38,748 - train: [ INFO] - Eval : 66 Time: 1.414 (1.414) Loss: 0.8961 (0.8961) Acc@1: 65.6250 (65.6250)Acc@5: 98.4375 (98.4375) +2024-12-27 13:14:39,526 - train: [ INFO] - Eval : 66 Time: 0.152 (0.365) Loss: 0.9243 (0.9145) Acc@1: 69.2308 (68.9516)Acc@5: 99.0385 (98.5215) +2024-12-27 13:14:41,996 - train: [ INFO] - Train: 67 [ 0/52 ( 0%)] Loss: 1.090145 (1.0901) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.562s, 81.97/s (1.562s, 81.97/s) LR: 1.610e-04 Data: 1.077 (1.077) +2024-12-27 13:15:04,049 - train: [ INFO] - Train: 67 [ 50/52 ( 98%)] Loss: 1.036526 (1.0633) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.443s, 288.67/s (0.462s, 277.03/s) LR: 1.610e-04 Data: 0.000 (0.022) +2024-12-27 13:15:04,494 - train: [ INFO] - Train: 67 [ 51/52 (100%)] Loss: 1.107170 (1.0779) Acc@1: 97.6562 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.435s, 294.27/s (0.462s, 277.34/s) LR: 1.610e-04 Data: 0.000 (0.022) +2024-12-27 13:15:06,199 - train: [ INFO] - Eval : 67 Time: 1.534 (1.534) Loss: 1.2447 (1.2447) Acc@1: 57.8125 (57.8125)Acc@5: 98.4375 (98.4375) +2024-12-27 13:15:06,995 - train: [ INFO] - Eval : 67 Time: 0.144 (0.388) Loss: 1.0024 (0.9844) Acc@1: 68.2692 (67.3387)Acc@5: 98.0769 (98.6559) +2024-12-27 13:15:09,407 - train: [ INFO] - Train: 68 [ 0/52 ( 0%)] Loss: 1.165654 (1.1657) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.459s, 87.76/s (1.459s, 87.76/s) LR: 1.527e-04 Data: 0.977 (0.977) +2024-12-27 13:15:31,433 - train: [ INFO] - Train: 68 [ 50/52 ( 98%)] Loss: 1.113558 (1.1396) Acc@1: 97.6562 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.431s, 297.16/s (0.459s, 278.63/s) LR: 1.527e-04 Data: 0.000 (0.020) +2024-12-27 13:15:31,881 - train: [ INFO] - Train: 68 [ 51/52 (100%)] Loss: 1.042005 (1.1071) Acc@1: 99.2188 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.431s, 296.85/s (0.459s, 278.96/s) LR: 1.527e-04 Data: 0.000 (0.020) +2024-12-27 13:15:33,505 - train: [ INFO] - Eval : 68 Time: 1.455 (1.455) Loss: 1.1232 (1.1232) Acc@1: 61.7188 (61.7188)Acc@5: 98.4375 (98.4375) +2024-12-27 13:15:34,264 - train: [ INFO] - Eval : 68 Time: 0.147 (0.369) Loss: 1.0483 (0.9945) Acc@1: 66.3462 (66.9355)Acc@5: 98.0769 (98.2527) +2024-12-27 13:15:36,758 - train: [ INFO] - Train: 69 [ 0/52 ( 0%)] Loss: 1.047771 (1.0478) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.578s, 81.13/s (1.578s, 81.13/s) LR: 1.447e-04 Data: 1.110 (1.110) +2024-12-27 13:15:58,744 - train: [ INFO] - Train: 69 [ 50/52 ( 98%)] Loss: 1.036460 (1.0421) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.425s, 301.19/s (0.461s, 277.64/s) LR: 1.447e-04 Data: 0.000 (0.023) +2024-12-27 13:15:59,196 - train: [ INFO] - Train: 69 [ 51/52 (100%)] Loss: 1.054104 (1.0461) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.435s, 294.30/s (0.461s, 277.94/s) LR: 1.447e-04 Data: 0.000 (0.023) +2024-12-27 13:16:00,669 - train: [ INFO] - Eval : 69 Time: 1.299 (1.299) Loss: 1.0622 (1.0622) Acc@1: 64.8438 (64.8438)Acc@5: 96.0938 (96.0938) +2024-12-27 13:16:01,416 - train: [ INFO] - Eval : 69 Time: 0.142 (0.341) Loss: 0.8463 (1.0207) Acc@1: 70.1923 (66.1290)Acc@5: 99.0385 (97.9839) +2024-12-27 13:16:03,945 - train: [ INFO] - Train: 70 [ 0/52 ( 0%)] Loss: 1.054417 (1.0544) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.588s, 80.60/s (1.588s, 80.60/s) LR: 1.368e-04 Data: 1.110 (1.110) +2024-12-27 13:16:25,628 - train: [ INFO] - Train: 70 [ 50/52 ( 98%)] Loss: 1.108370 (1.0814) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.429s, 298.31/s (0.455s, 281.03/s) LR: 1.368e-04 Data: 0.000 (0.023) +2024-12-27 13:16:26,075 - train: [ INFO] - Train: 70 [ 51/52 (100%)] Loss: 1.100755 (1.0878) Acc@1: 97.6562 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.443s, 288.67/s (0.455s, 281.17/s) LR: 1.368e-04 Data: 0.000 (0.022) +2024-12-27 13:16:28,217 - train: [ INFO] - Eval : 70 Time: 1.973 (1.973) Loss: 0.8334 (0.8334) Acc@1: 70.3125 (70.3125)Acc@5: 98.4375 (98.4375) +2024-12-27 13:16:28,988 - train: [ INFO] - Eval : 70 Time: 0.141 (0.457) Loss: 0.7670 (0.8787) Acc@1: 73.0769 (70.4301)Acc@5: 100.0000 (97.9839) +2024-12-27 13:16:31,435 - train: [ INFO] - Train: 71 [ 0/52 ( 0%)] Loss: 1.034123 (1.0341) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.511s, 84.73/s (1.511s, 84.73/s) LR: 1.290e-04 Data: 1.020 (1.020) +2024-12-27 13:16:53,099 - train: [ INFO] - Train: 71 [ 50/52 ( 98%)] Loss: 1.049554 (1.0418) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.430s, 298.00/s (0.454s, 282.15/s) LR: 1.290e-04 Data: 0.000 (0.021) +2024-12-27 13:16:53,525 - train: [ INFO] - Train: 71 [ 51/52 (100%)] Loss: 1.078338 (1.0540) Acc@1: 99.2188 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.422s, 303.67/s (0.453s, 282.54/s) LR: 1.290e-04 Data: 0.000 (0.020) +2024-12-27 13:16:55,575 - train: [ INFO] - Eval : 71 Time: 1.868 (1.868) Loss: 0.9826 (0.9826) Acc@1: 68.7500 (68.7500)Acc@5: 96.8750 (96.8750) +2024-12-27 13:16:56,337 - train: [ INFO] - Eval : 71 Time: 0.149 (0.438) Loss: 0.8674 (0.8963) Acc@1: 68.2692 (70.0269)Acc@5: 99.0385 (97.9839) +2024-12-27 13:16:58,884 - train: [ INFO] - Train: 72 [ 0/52 ( 0%)] Loss: 1.156335 (1.1563) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.593s, 80.36/s (1.593s, 80.36/s) LR: 1.215e-04 Data: 1.119 (1.119) +2024-12-27 13:17:20,763 - train: [ INFO] - Train: 72 [ 50/52 ( 98%)] Loss: 1.076741 (1.1165) Acc@1: 98.4375 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.429s, 298.56/s (0.459s, 278.63/s) LR: 1.215e-04 Data: 0.000 (0.023) +2024-12-27 13:17:21,202 - train: [ INFO] - Train: 72 [ 51/52 (100%)] Loss: 1.026985 (1.0867) Acc@1: 98.4375 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.436s, 293.55/s (0.459s, 278.90/s) LR: 1.215e-04 Data: 0.000 (0.023) +2024-12-27 13:17:23,497 - train: [ INFO] - Eval : 72 Time: 2.112 (2.112) Loss: 0.9257 (0.9257) Acc@1: 68.7500 (68.7500)Acc@5: 98.4375 (98.4375) +2024-12-27 13:17:24,258 - train: [ INFO] - Eval : 72 Time: 0.147 (0.479) Loss: 0.8971 (0.8775) Acc@1: 69.2308 (71.5054)Acc@5: 100.0000 (98.7903) +2024-12-27 13:17:25,182 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-72.pth.tar', 71.50537700037802) + +2024-12-27 13:17:26,780 - train: [ INFO] - Train: 73 [ 0/52 ( 0%)] Loss: 1.047476 (1.0475) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.584s, 80.83/s (1.584s, 80.83/s) LR: 1.141e-04 Data: 1.125 (1.125) +2024-12-27 13:17:48,500 - train: [ INFO] - Train: 73 [ 50/52 ( 98%)] Loss: 1.016641 (1.0321) Acc@1: 100.0000 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.433s, 295.70/s (0.456s, 280.60/s) LR: 1.141e-04 Data: 0.000 (0.023) +2024-12-27 13:17:48,927 - train: [ INFO] - Train: 73 [ 51/52 (100%)] Loss: 1.086865 (1.0503) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.424s, 302.23/s (0.456s, 280.99/s) LR: 1.141e-04 Data: 0.000 (0.023) +2024-12-27 13:17:51,136 - train: [ INFO] - Eval : 73 Time: 2.045 (2.045) Loss: 1.0988 (1.0988) Acc@1: 62.5000 (62.5000)Acc@5: 100.0000 (100.0000) +2024-12-27 13:17:51,878 - train: [ INFO] - Eval : 73 Time: 0.142 (0.465) Loss: 0.9373 (0.9904) Acc@1: 71.1538 (67.4731)Acc@5: 98.0769 (98.5215) +2024-12-27 13:17:54,460 - train: [ INFO] - Train: 74 [ 0/52 ( 0%)] Loss: 1.067261 (1.0673) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.701s, 75.27/s (1.701s, 75.27/s) LR: 1.070e-04 Data: 1.240 (1.240) +2024-12-27 13:18:16,243 - train: [ INFO] - Train: 74 [ 50/52 ( 98%)] Loss: 0.997984 (1.0326) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.427s, 299.68/s (0.460s, 278.48/s) LR: 1.070e-04 Data: 0.000 (0.026) +2024-12-27 13:18:16,697 - train: [ INFO] - Train: 74 [ 51/52 (100%)] Loss: 1.061676 (1.0423) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.450s, 284.33/s (0.459s, 278.59/s) LR: 1.070e-04 Data: 0.000 (0.025) +2024-12-27 13:18:18,872 - train: [ INFO] - Eval : 74 Time: 1.990 (1.990) Loss: 0.9726 (0.9726) Acc@1: 75.0000 (75.0000)Acc@5: 98.4375 (98.4375) +2024-12-27 13:18:19,648 - train: [ INFO] - Eval : 74 Time: 0.143 (0.461) Loss: 0.8809 (0.8820) Acc@1: 74.0385 (71.7742)Acc@5: 98.0769 (98.3871) +2024-12-27 13:18:20,632 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-74.pth.tar', 71.7741943687521) + +2024-12-27 13:18:22,432 - train: [ INFO] - Train: 75 [ 0/52 ( 0%)] Loss: 1.037398 (1.0374) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.786s, 71.66/s (1.786s, 71.66/s) LR: 1.001e-04 Data: 1.287 (1.287) +2024-12-27 13:18:44,330 - train: [ INFO] - Train: 75 [ 50/52 ( 98%)] Loss: 1.040375 (1.0389) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.431s, 296.86/s (0.463s, 276.31/s) LR: 1.001e-04 Data: 0.000 (0.026) +2024-12-27 13:18:44,764 - train: [ INFO] - Train: 75 [ 51/52 (100%)] Loss: 1.064620 (1.0475) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.429s, 298.24/s (0.463s, 276.71/s) LR: 1.001e-04 Data: 0.000 (0.026) +2024-12-27 13:18:46,666 - train: [ INFO] - Eval : 75 Time: 1.726 (1.726) Loss: 1.0209 (1.0209) Acc@1: 70.3125 (70.3125)Acc@5: 97.6562 (97.6562) +2024-12-27 13:18:47,423 - train: [ INFO] - Eval : 75 Time: 0.143 (0.414) Loss: 1.0284 (0.9686) Acc@1: 63.4615 (68.6828)Acc@5: 97.1154 (98.5215) +2024-12-27 13:18:49,892 - train: [ INFO] - Train: 76 [ 0/52 ( 0%)] Loss: 1.024736 (1.0247) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.555s, 82.30/s (1.555s, 82.30/s) LR: 9.334e-05 Data: 1.055 (1.055) +2024-12-27 13:19:11,884 - train: [ INFO] - Train: 76 [ 50/52 ( 98%)] Loss: 1.042628 (1.0337) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.430s, 297.87/s (0.461s, 277.91/s) LR: 9.334e-05 Data: 0.000 (0.022) +2024-12-27 13:19:12,337 - train: [ INFO] - Train: 76 [ 51/52 (100%)] Loss: 1.134928 (1.0674) Acc@1: 97.6562 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.443s, 288.66/s (0.460s, 278.11/s) LR: 9.334e-05 Data: 0.001 (0.021) +2024-12-27 13:19:14,553 - train: [ INFO] - Eval : 76 Time: 2.065 (2.065) Loss: 0.7526 (0.7526) Acc@1: 73.4375 (73.4375)Acc@5: 98.4375 (98.4375) +2024-12-27 13:19:15,302 - train: [ INFO] - Eval : 76 Time: 0.142 (0.469) Loss: 0.8835 (0.8270) Acc@1: 72.1154 (72.3118)Acc@5: 97.1154 (98.3871) +2024-12-27 13:19:16,276 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-76.pth.tar', 72.31182828513525) + +2024-12-27 13:19:17,984 - train: [ INFO] - Train: 77 [ 0/52 ( 0%)] Loss: 1.070217 (1.0702) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.694s, 75.56/s (1.694s, 75.56/s) LR: 8.684e-05 Data: 1.206 (1.206) +2024-12-27 13:19:39,925 - train: [ INFO] - Train: 77 [ 50/52 ( 98%)] Loss: 1.001997 (1.0361) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.426s, 300.14/s (0.463s, 276.68/s) LR: 8.684e-05 Data: 0.000 (0.025) +2024-12-27 13:19:40,377 - train: [ INFO] - Train: 77 [ 51/52 (100%)] Loss: 1.036403 (1.0362) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.449s, 285.28/s (0.462s, 276.84/s) LR: 8.684e-05 Data: 0.000 (0.024) +2024-12-27 13:19:42,533 - train: [ INFO] - Eval : 77 Time: 1.971 (1.971) Loss: 0.8924 (0.8924) Acc@1: 73.4375 (73.4375)Acc@5: 98.4375 (98.4375) +2024-12-27 13:19:43,304 - train: [ INFO] - Eval : 77 Time: 0.144 (0.457) Loss: 0.9387 (0.9007) Acc@1: 70.1923 (71.7742)Acc@5: 100.0000 (98.6559) +2024-12-27 13:19:46,253 - train: [ INFO] - Train: 78 [ 0/52 ( 0%)] Loss: 0.995858 (0.9959) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.581s, 80.94/s (1.581s, 80.94/s) LR: 8.057e-05 Data: 1.063 (1.063) +2024-12-27 13:20:08,068 - train: [ INFO] - Train: 78 [ 50/52 ( 98%)] Loss: 1.034497 (1.0152) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.440s, 290.69/s (0.457s, 280.08/s) LR: 8.057e-05 Data: 0.000 (0.022) +2024-12-27 13:20:08,516 - train: [ INFO] - Train: 78 [ 51/52 (100%)] Loss: 1.055590 (1.0286) Acc@1: 98.4375 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.428s, 299.26/s (0.456s, 280.42/s) LR: 8.057e-05 Data: 0.000 (0.022) +2024-12-27 13:20:10,016 - train: [ INFO] - Eval : 78 Time: 1.289 (1.289) Loss: 0.8671 (0.8671) Acc@1: 71.0938 (71.0938)Acc@5: 99.2188 (99.2188) +2024-12-27 13:20:10,813 - train: [ INFO] - Eval : 78 Time: 0.158 (0.348) Loss: 0.7866 (0.8629) Acc@1: 74.0385 (69.8925)Acc@5: 100.0000 (98.2527) +2024-12-27 13:20:13,754 - train: [ INFO] - Train: 79 [ 0/52 ( 0%)] Loss: 1.015791 (1.0158) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.551s, 82.51/s (1.551s, 82.51/s) LR: 7.453e-05 Data: 1.062 (1.062) +2024-12-27 13:20:36,064 - train: [ INFO] - Train: 79 [ 50/52 ( 98%)] Loss: 1.076853 (1.0463) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.427s, 299.71/s (0.467s, 274.18/s) LR: 7.453e-05 Data: 0.000 (0.022) +2024-12-27 13:20:36,512 - train: [ INFO] - Train: 79 [ 51/52 (100%)] Loss: 1.063991 (1.0522) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.434s, 294.73/s (0.466s, 274.55/s) LR: 7.453e-05 Data: 0.000 (0.021) +2024-12-27 13:20:37,992 - train: [ INFO] - Eval : 79 Time: 1.273 (1.273) Loss: 0.8698 (0.8698) Acc@1: 69.5312 (69.5312)Acc@5: 99.2188 (99.2188) +2024-12-27 13:20:38,766 - train: [ INFO] - Eval : 79 Time: 0.153 (0.341) Loss: 0.9759 (0.8635) Acc@1: 68.2692 (71.1022)Acc@5: 99.0385 (98.7903) +2024-12-27 13:20:41,636 - train: [ INFO] - Train: 80 [ 0/52 ( 0%)] Loss: 1.043325 (1.0433) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.512s, 84.64/s (1.512s, 84.64/s) LR: 6.873e-05 Data: 1.023 (1.023) +2024-12-27 13:21:03,300 - train: [ INFO] - Train: 80 [ 50/52 ( 98%)] Loss: 1.081408 (1.0624) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.430s, 297.45/s (0.453s, 282.75/s) LR: 6.873e-05 Data: 0.000 (0.021) +2024-12-27 13:21:03,723 - train: [ INFO] - Train: 80 [ 51/52 (100%)] Loss: 1.030869 (1.0519) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.419s, 305.36/s (0.452s, 283.15/s) LR: 6.873e-05 Data: 0.000 (0.021) +2024-12-27 13:21:05,406 - train: [ INFO] - Eval : 80 Time: 1.444 (1.444) Loss: 0.8177 (0.8177) Acc@1: 70.3125 (70.3125)Acc@5: 97.6562 (97.6562) +2024-12-27 13:21:06,171 - train: [ INFO] - Eval : 80 Time: 0.157 (0.368) Loss: 1.0106 (0.8956) Acc@1: 66.3462 (69.7581)Acc@5: 98.0769 (98.6559) +2024-12-27 13:21:09,199 - train: [ INFO] - Train: 81 [ 0/52 ( 0%)] Loss: 1.014496 (1.0145) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.658s, 77.22/s (1.658s, 77.22/s) LR: 6.317e-05 Data: 1.142 (1.142) +2024-12-27 13:21:31,114 - train: [ INFO] - Train: 81 [ 50/52 ( 98%)] Loss: 1.030020 (1.0223) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.428s, 299.33/s (0.461s, 277.64/s) LR: 6.317e-05 Data: 0.000 (0.024) +2024-12-27 13:21:31,566 - train: [ INFO] - Train: 81 [ 51/52 (100%)] Loss: 1.040296 (1.0283) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.448s, 285.48/s (0.461s, 277.79/s) LR: 6.317e-05 Data: 0.000 (0.023) +2024-12-27 13:21:33,495 - train: [ INFO] - Eval : 81 Time: 1.695 (1.695) Loss: 0.9843 (0.9843) Acc@1: 66.4062 (66.4062)Acc@5: 96.8750 (96.8750) +2024-12-27 13:21:34,279 - train: [ INFO] - Eval : 81 Time: 0.150 (0.413) Loss: 0.8190 (0.9029) Acc@1: 72.1154 (69.8925)Acc@5: 100.0000 (98.2527) +2024-12-27 13:21:37,169 - train: [ INFO] - Train: 82 [ 0/52 ( 0%)] Loss: 1.015982 (1.0160) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.499s, 85.37/s (1.499s, 85.37/s) LR: 5.787e-05 Data: 1.040 (1.040) +2024-12-27 13:21:59,075 - train: [ INFO] - Train: 82 [ 50/52 ( 98%)] Loss: 1.013982 (1.0150) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.433s, 295.62/s (0.458s, 279.50/s) LR: 5.787e-05 Data: 0.000 (0.022) +2024-12-27 13:21:59,519 - train: [ INFO] - Train: 82 [ 51/52 (100%)] Loss: 1.055573 (1.0285) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.432s, 296.59/s (0.457s, 279.81/s) LR: 5.787e-05 Data: 0.000 (0.021) +2024-12-27 13:22:01,073 - train: [ INFO] - Eval : 82 Time: 1.336 (1.336) Loss: 1.0026 (1.0026) Acc@1: 67.1875 (67.1875)Acc@5: 96.8750 (96.8750) +2024-12-27 13:22:01,849 - train: [ INFO] - Eval : 82 Time: 0.156 (0.352) Loss: 0.8424 (0.9161) Acc@1: 72.1154 (68.5484)Acc@5: 97.1154 (97.9839) +2024-12-27 13:22:04,762 - train: [ INFO] - Train: 83 [ 0/52 ( 0%)] Loss: 1.010527 (1.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.631s, 78.50/s (1.631s, 78.50/s) LR: 5.282e-05 Data: 1.128 (1.128) +2024-12-27 13:22:26,689 - train: [ INFO] - Train: 83 [ 50/52 ( 98%)] Loss: 1.034165 (1.0223) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.431s, 296.76/s (0.461s, 277.61/s) LR: 5.282e-05 Data: 0.000 (0.023) +2024-12-27 13:22:27,140 - train: [ INFO] - Train: 83 [ 51/52 (100%)] Loss: 1.017521 (1.0207) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.431s, 296.82/s (0.461s, 277.95/s) LR: 5.282e-05 Data: 0.000 (0.023) +2024-12-27 13:22:28,897 - train: [ INFO] - Eval : 83 Time: 1.508 (1.508) Loss: 0.6757 (0.6757) Acc@1: 75.0000 (75.0000)Acc@5: 99.2188 (99.2188) +2024-12-27 13:22:29,690 - train: [ INFO] - Eval : 83 Time: 0.153 (0.384) Loss: 0.9993 (0.8827) Acc@1: 65.3846 (71.1022)Acc@5: 99.0385 (99.0591) +2024-12-27 13:22:32,620 - train: [ INFO] - Train: 84 [ 0/52 ( 0%)] Loss: 1.085357 (1.0854) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.593s, 80.36/s (1.593s, 80.36/s) LR: 4.804e-05 Data: 1.095 (1.095) +2024-12-27 13:22:54,304 - train: [ INFO] - Train: 84 [ 50/52 ( 98%)] Loss: 1.006410 (1.0459) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.437s, 293.14/s (0.456s, 280.88/s) LR: 4.804e-05 Data: 0.000 (0.022) +2024-12-27 13:22:54,745 - train: [ INFO] - Train: 84 [ 51/52 (100%)] Loss: 1.025923 (1.0392) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.436s, 293.57/s (0.455s, 281.11/s) LR: 4.804e-05 Data: 0.000 (0.022) +2024-12-27 13:22:56,361 - train: [ INFO] - Eval : 84 Time: 1.370 (1.370) Loss: 0.9221 (0.9221) Acc@1: 68.7500 (68.7500)Acc@5: 96.8750 (96.8750) +2024-12-27 13:22:57,150 - train: [ INFO] - Eval : 84 Time: 0.158 (0.360) Loss: 0.7836 (0.8945) Acc@1: 75.9615 (70.9677)Acc@5: 99.0385 (98.2527) +2024-12-27 13:23:00,205 - train: [ INFO] - Train: 85 [ 0/52 ( 0%)] Loss: 1.082725 (1.0827) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.701s, 75.27/s (1.701s, 75.27/s) LR: 4.352e-05 Data: 1.224 (1.224) +2024-12-27 13:23:21,894 - train: [ INFO] - Train: 85 [ 50/52 ( 98%)] Loss: 1.077147 (1.0799) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.432s, 296.30/s (0.458s, 279.56/s) LR: 4.352e-05 Data: 0.000 (0.025) +2024-12-27 13:23:22,327 - train: [ INFO] - Train: 85 [ 51/52 (100%)] Loss: 1.008847 (1.0562) Acc@1: 99.2188 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.428s, 299.07/s (0.457s, 279.91/s) LR: 4.352e-05 Data: 0.000 (0.024) +2024-12-27 13:23:23,899 - train: [ INFO] - Eval : 85 Time: 1.398 (1.398) Loss: 1.0164 (1.0164) Acc@1: 65.6250 (65.6250)Acc@5: 99.2188 (99.2188) +2024-12-27 13:23:24,703 - train: [ INFO] - Eval : 85 Time: 0.170 (0.367) Loss: 0.7649 (0.8261) Acc@1: 73.0769 (72.9839)Acc@5: 100.0000 (98.6559) +2024-12-27 13:23:26,049 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-85.pth.tar', 72.98387154199744) + +2024-12-27 13:23:27,776 - train: [ INFO] - Train: 86 [ 0/52 ( 0%)] Loss: 1.095870 (1.0959) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.697s, 75.42/s (1.697s, 75.42/s) LR: 3.927e-05 Data: 1.226 (1.226) +2024-12-27 13:23:49,863 - train: [ INFO] - Train: 86 [ 50/52 ( 98%)] Loss: 1.027396 (1.0616) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.434s, 295.25/s (0.465s, 275.32/s) LR: 3.927e-05 Data: 0.000 (0.026) +2024-12-27 13:23:50,302 - train: [ INFO] - Train: 86 [ 51/52 (100%)] Loss: 1.008808 (1.0440) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.435s, 294.49/s (0.464s, 275.67/s) LR: 3.927e-05 Data: 0.000 (0.025) +2024-12-27 13:23:51,953 - train: [ INFO] - Eval : 86 Time: 1.407 (1.407) Loss: 0.8845 (0.8845) Acc@1: 71.8750 (71.8750)Acc@5: 97.6562 (97.6562) +2024-12-27 13:23:52,740 - train: [ INFO] - Eval : 86 Time: 0.154 (0.366) Loss: 1.0572 (0.8648) Acc@1: 67.3077 (72.5806)Acc@5: 99.0385 (98.9247) +2024-12-27 13:23:55,580 - train: [ INFO] - Train: 87 [ 0/52 ( 0%)] Loss: 1.026048 (1.0260) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.533s, 83.50/s (1.533s, 83.50/s) LR: 3.529e-05 Data: 1.014 (1.014) +2024-12-27 13:24:17,541 - train: [ INFO] - Train: 87 [ 50/52 ( 98%)] Loss: 1.065400 (1.0457) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.434s, 294.70/s (0.460s, 278.32/s) LR: 3.529e-05 Data: 0.000 (0.021) +2024-12-27 13:24:17,976 - train: [ INFO] - Train: 87 [ 51/52 (100%)] Loss: 1.010245 (1.0339) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.432s, 296.41/s (0.459s, 278.65/s) LR: 3.529e-05 Data: 0.000 (0.020) +2024-12-27 13:24:19,668 - train: [ INFO] - Eval : 87 Time: 1.476 (1.476) Loss: 0.9112 (0.9112) Acc@1: 71.0938 (71.0938)Acc@5: 99.2188 (99.2188) +2024-12-27 13:24:20,437 - train: [ INFO] - Eval : 87 Time: 0.152 (0.374) Loss: 0.9791 (0.8671) Acc@1: 73.0769 (71.7742)Acc@5: 98.0769 (98.6559) +2024-12-27 13:24:23,473 - train: [ INFO] - Train: 88 [ 0/52 ( 0%)] Loss: 1.023221 (1.0232) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.713s, 74.74/s (1.713s, 74.74/s) LR: 3.159e-05 Data: 1.233 (1.233) +2024-12-27 13:24:45,555 - train: [ INFO] - Train: 88 [ 50/52 ( 98%)] Loss: 1.021136 (1.0222) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.430s, 297.82/s (0.466s, 274.89/s) LR: 3.159e-05 Data: 0.000 (0.026) +2024-12-27 13:24:45,989 - train: [ INFO] - Train: 88 [ 51/52 (100%)] Loss: 1.043099 (1.0292) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.430s, 297.83/s (0.465s, 275.30/s) LR: 3.159e-05 Data: 0.000 (0.025) +2024-12-27 13:24:47,577 - train: [ INFO] - Eval : 88 Time: 1.367 (1.367) Loss: 1.0606 (1.0606) Acc@1: 63.2812 (63.2812)Acc@5: 98.4375 (98.4375) +2024-12-27 13:24:48,315 - train: [ INFO] - Eval : 88 Time: 0.137 (0.351) Loss: 0.9393 (0.8719) Acc@1: 70.1923 (70.9677)Acc@5: 98.0769 (98.2527) +2024-12-27 13:24:51,097 - train: [ INFO] - Train: 89 [ 0/52 ( 0%)] Loss: 1.038308 (1.0383) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.480s, 86.51/s (1.480s, 86.51/s) LR: 2.818e-05 Data: 0.990 (0.990) +2024-12-27 13:25:12,911 - train: [ INFO] - Train: 89 [ 50/52 ( 98%)] Loss: 1.013628 (1.0260) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.430s, 297.45/s (0.456s, 280.69/s) LR: 2.818e-05 Data: 0.000 (0.020) +2024-12-27 13:25:13,344 - train: [ INFO] - Train: 89 [ 51/52 (100%)] Loss: 1.013175 (1.0217) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.429s, 298.06/s (0.456s, 281.00/s) LR: 2.818e-05 Data: 0.000 (0.020) +2024-12-27 13:25:14,989 - train: [ INFO] - Eval : 89 Time: 1.392 (1.392) Loss: 0.8686 (0.8686) Acc@1: 67.1875 (67.1875)Acc@5: 97.6562 (97.6562) +2024-12-27 13:25:15,778 - train: [ INFO] - Eval : 89 Time: 0.160 (0.364) Loss: 0.6458 (0.8855) Acc@1: 82.6923 (70.6989)Acc@5: 99.0385 (97.9839) +2024-12-27 13:25:18,756 - train: [ INFO] - Train: 90 [ 0/52 ( 0%)] Loss: 1.022449 (1.0224) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.618s, 79.12/s (1.618s, 79.12/s) LR: 2.505e-05 Data: 1.110 (1.110) +2024-12-27 13:25:40,755 - train: [ INFO] - Train: 90 [ 50/52 ( 98%)] Loss: 1.010823 (1.0166) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.434s, 294.64/s (0.460s, 278.25/s) LR: 2.505e-05 Data: 0.000 (0.023) +2024-12-27 13:25:41,186 - train: [ INFO] - Train: 90 [ 51/52 (100%)] Loss: 1.004148 (1.0125) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.427s, 300.10/s (0.459s, 278.64/s) LR: 2.505e-05 Data: 0.000 (0.022) +2024-12-27 13:25:42,753 - train: [ INFO] - Eval : 90 Time: 1.367 (1.367) Loss: 0.7528 (0.7528) Acc@1: 78.9062 (78.9062)Acc@5: 97.6562 (97.6562) +2024-12-27 13:25:43,490 - train: [ INFO] - Eval : 90 Time: 0.140 (0.351) Loss: 0.8671 (0.9030) Acc@1: 72.1154 (70.1613)Acc@5: 100.0000 (98.6559) +2024-12-27 13:25:46,074 - train: [ INFO] - Train: 91 [ 0/52 ( 0%)] Loss: 1.055524 (1.0555) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.412s, 90.65/s (1.412s, 90.65/s) LR: 2.221e-05 Data: 0.943 (0.943) +2024-12-27 13:26:07,657 - train: [ INFO] - Train: 91 [ 50/52 ( 98%)] Loss: 1.011885 (1.0337) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.435s, 294.33/s (0.450s, 284.67/s) LR: 2.221e-05 Data: 0.000 (0.020) +2024-12-27 13:26:08,108 - train: [ INFO] - Train: 91 [ 51/52 (100%)] Loss: 1.033317 (1.0336) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.435s, 294.08/s (0.449s, 284.84/s) LR: 2.221e-05 Data: 0.000 (0.019) +2024-12-27 13:26:09,826 - train: [ INFO] - Eval : 91 Time: 1.492 (1.492) Loss: 0.9503 (0.9503) Acc@1: 69.5312 (69.5312)Acc@5: 99.2188 (99.2188) +2024-12-27 13:26:10,601 - train: [ INFO] - Eval : 91 Time: 0.154 (0.378) Loss: 0.7670 (0.8717) Acc@1: 71.1538 (69.8925)Acc@5: 99.0385 (98.7903) +2024-12-27 13:26:13,658 - train: [ INFO] - Train: 92 [ 0/52 ( 0%)] Loss: 1.048842 (1.0488) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.691s, 75.69/s (1.691s, 75.69/s) LR: 1.966e-05 Data: 1.171 (1.171) +2024-12-27 13:26:35,840 - train: [ INFO] - Train: 92 [ 50/52 ( 98%)] Loss: 0.991776 (1.0203) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.431s, 297.11/s (0.467s, 274.20/s) LR: 1.966e-05 Data: 0.000 (0.024) +2024-12-27 13:26:36,300 - train: [ INFO] - Train: 92 [ 51/52 (100%)] Loss: 1.022711 (1.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.433s, 295.30/s (0.466s, 274.57/s) LR: 1.966e-05 Data: 0.000 (0.024) +2024-12-27 13:26:37,960 - train: [ INFO] - Eval : 92 Time: 1.445 (1.445) Loss: 0.9162 (0.9162) Acc@1: 67.9688 (67.9688)Acc@5: 97.6562 (97.6562) +2024-12-27 13:26:38,742 - train: [ INFO] - Eval : 92 Time: 0.148 (0.371) Loss: 0.6188 (0.8466) Acc@1: 80.7692 (71.7742)Acc@5: 99.0385 (98.3871) +2024-12-27 13:26:41,719 - train: [ INFO] - Train: 93 [ 0/52 ( 0%)] Loss: 1.103826 (1.1038) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.607s, 79.65/s (1.607s, 79.65/s) LR: 1.741e-05 Data: 1.102 (1.102) +2024-12-27 13:27:03,472 - train: [ INFO] - Train: 93 [ 50/52 ( 98%)] Loss: 0.995249 (1.0495) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.433s, 295.67/s (0.457s, 279.91/s) LR: 1.741e-05 Data: 0.000 (0.023) +2024-12-27 13:27:03,921 - train: [ INFO] - Train: 93 [ 51/52 (100%)] Loss: 1.013762 (1.0376) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.430s, 297.44/s (0.457s, 280.23/s) LR: 1.741e-05 Data: 0.000 (0.022) +2024-12-27 13:27:05,841 - train: [ INFO] - Eval : 93 Time: 1.716 (1.716) Loss: 0.6772 (0.6772) Acc@1: 77.3438 (77.3438)Acc@5: 98.4375 (98.4375) +2024-12-27 13:27:06,652 - train: [ INFO] - Eval : 93 Time: 0.144 (0.421) Loss: 0.7879 (0.8689) Acc@1: 73.0769 (70.4301)Acc@5: 98.0769 (98.5215) +2024-12-27 13:27:09,696 - train: [ INFO] - Train: 94 [ 0/52 ( 0%)] Loss: 0.999660 (0.9997) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.737s, 73.71/s (1.737s, 73.71/s) LR: 1.545e-05 Data: 1.220 (1.220) +2024-12-27 13:27:31,810 - train: [ INFO] - Train: 94 [ 50/52 ( 98%)] Loss: 1.025630 (1.0126) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.434s, 295.26/s (0.465s, 275.01/s) LR: 1.545e-05 Data: 0.000 (0.025) +2024-12-27 13:27:32,245 - train: [ INFO] - Train: 94 [ 51/52 (100%)] Loss: 1.019156 (1.0148) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.431s, 297.12/s (0.465s, 275.40/s) LR: 1.545e-05 Data: 0.000 (0.025) +2024-12-27 13:27:33,924 - train: [ INFO] - Eval : 94 Time: 1.468 (1.468) Loss: 0.6772 (0.6772) Acc@1: 75.7812 (75.7812)Acc@5: 100.0000 (100.0000) +2024-12-27 13:27:34,695 - train: [ INFO] - Eval : 94 Time: 0.161 (0.373) Loss: 0.9577 (0.8589) Acc@1: 68.2692 (72.5806)Acc@5: 99.0385 (98.3871) +2024-12-27 13:27:37,818 - train: [ INFO] - Train: 95 [ 0/52 ( 0%)] Loss: 1.073050 (1.0731) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.736s, 73.75/s (1.736s, 73.75/s) LR: 1.379e-05 Data: 1.226 (1.226) +2024-12-27 13:27:59,570 - train: [ INFO] - Train: 95 [ 50/52 ( 98%)] Loss: 1.012607 (1.0428) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.433s, 295.38/s (0.460s, 278.54/s) LR: 1.379e-05 Data: 0.000 (0.025) +2024-12-27 13:28:00,002 - train: [ INFO] - Train: 95 [ 51/52 (100%)] Loss: 1.045256 (1.0436) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.428s, 299.04/s (0.459s, 278.91/s) LR: 1.379e-05 Data: 0.000 (0.025) +2024-12-27 13:28:01,526 - train: [ INFO] - Eval : 95 Time: 1.287 (1.287) Loss: 0.8568 (0.8568) Acc@1: 73.4375 (73.4375)Acc@5: 98.4375 (98.4375) +2024-12-27 13:28:02,323 - train: [ INFO] - Eval : 95 Time: 0.148 (0.347) Loss: 1.0238 (0.8578) Acc@1: 70.1923 (72.1774)Acc@5: 96.1538 (98.5215) +2024-12-27 13:28:05,332 - train: [ INFO] - Train: 96 [ 0/52 ( 0%)] Loss: 1.007994 (1.0080) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.687s, 75.88/s (1.687s, 75.88/s) LR: 1.242e-05 Data: 1.210 (1.210) +2024-12-27 13:28:27,046 - train: [ INFO] - Train: 96 [ 50/52 ( 98%)] Loss: 1.003331 (1.0057) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.432s, 296.00/s (0.458s, 279.46/s) LR: 1.242e-05 Data: 0.000 (0.025) +2024-12-27 13:28:27,477 - train: [ INFO] - Train: 96 [ 51/52 (100%)] Loss: 1.015982 (1.0091) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.427s, 299.43/s (0.457s, 279.82/s) LR: 1.242e-05 Data: 0.000 (0.024) +2024-12-27 13:28:29,160 - train: [ INFO] - Eval : 96 Time: 1.430 (1.430) Loss: 0.7923 (0.7923) Acc@1: 75.0000 (75.0000)Acc@5: 98.4375 (98.4375) +2024-12-27 13:28:29,911 - train: [ INFO] - Eval : 96 Time: 0.144 (0.364) Loss: 0.8073 (0.8517) Acc@1: 74.0385 (71.2366)Acc@5: 98.0769 (98.7903) +2024-12-27 13:28:32,229 - train: [ INFO] - Train: 97 [ 0/52 ( 0%)] Loss: 0.999422 (0.9994) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.324s, 96.69/s (1.324s, 96.69/s) LR: 1.136e-05 Data: 0.866 (0.866) +2024-12-27 13:28:54,351 - train: [ INFO] - Train: 97 [ 50/52 ( 98%)] Loss: 0.997054 (0.9982) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.439s, 291.83/s (0.457s, 280.32/s) LR: 1.136e-05 Data: 0.001 (0.019) +2024-12-27 13:28:54,802 - train: [ INFO] - Train: 97 [ 51/52 (100%)] Loss: 1.021971 (1.0061) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.426s, 300.32/s (0.456s, 280.68/s) LR: 1.136e-05 Data: 0.000 (0.019) +2024-12-27 13:28:56,295 - train: [ INFO] - Eval : 97 Time: 1.292 (1.292) Loss: 0.7421 (0.7421) Acc@1: 78.1250 (78.1250)Acc@5: 98.4375 (98.4375) +2024-12-27 13:28:57,036 - train: [ INFO] - Eval : 97 Time: 0.145 (0.339) Loss: 0.8471 (0.8543) Acc@1: 70.1923 (72.0430)Acc@5: 98.0769 (97.9839) +2024-12-27 13:28:59,488 - train: [ INFO] - Train: 98 [ 0/52 ( 0%)] Loss: 1.079511 (1.0795) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.457s, 87.86/s (1.457s, 87.86/s) LR: 1.061e-05 Data: 0.986 (0.986) +2024-12-27 13:29:21,292 - train: [ INFO] - Train: 98 [ 50/52 ( 98%)] Loss: 1.018360 (1.0489) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.454s, 281.68/s (0.454s, 282.25/s) LR: 1.061e-05 Data: 0.000 (0.021) +2024-12-27 13:29:21,740 - train: [ INFO] - Train: 98 [ 51/52 (100%)] Loss: 1.064573 (1.0541) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.426s, 300.21/s (0.453s, 282.57/s) LR: 1.061e-05 Data: 0.000 (0.020) +2024-12-27 13:29:23,282 - train: [ INFO] - Eval : 98 Time: 1.281 (1.281) Loss: 0.9632 (0.9632) Acc@1: 67.9688 (67.9688)Acc@5: 98.4375 (98.4375) +2024-12-27 13:29:24,035 - train: [ INFO] - Eval : 98 Time: 0.140 (0.339) Loss: 0.9713 (0.8424) Acc@1: 72.1154 (73.2527)Acc@5: 99.0385 (98.1183) +2024-12-27 13:29:25,305 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/checkpoint-98.pth.tar', 73.25268850018901) + +2024-12-27 13:29:26,734 - train: [ INFO] - Train: 99 [ 0/52 ( 0%)] Loss: 1.002773 (1.0028) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.410s, 90.78/s (1.410s, 90.78/s) LR: 1.015e-05 Data: 0.955 (0.955) +2024-12-27 13:29:48,650 - train: [ INFO] - Train: 99 [ 50/52 ( 98%)] Loss: 1.005753 (1.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.446s, 286.69/s (0.454s, 281.95/s) LR: 1.015e-05 Data: 0.000 (0.020) +2024-12-27 13:29:49,141 - train: [ INFO] - Train: 99 [ 51/52 (100%)] Loss: 1.039191 (1.0159) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.488s, 262.44/s (0.455s, 281.55/s) LR: 1.015e-05 Data: 0.000 (0.020) +2024-12-27 13:29:50,775 - train: [ INFO] - Eval : 99 Time: 1.420 (1.420) Loss: 0.9255 (0.9255) Acc@1: 71.0938 (71.0938)Acc@5: 98.4375 (98.4375) +2024-12-27 13:29:51,546 - train: [ INFO] - Eval : 99 Time: 0.144 (0.365) Loss: 0.8600 (0.8414) Acc@1: 72.1154 (73.1183)Acc@5: 97.1154 (98.9247) +2024-12-27 13:29:52,926 - train: [ INFO] - *** Best metric: 73.25268850018901 (epoch 98) diff --git a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..f71924061daecaad1155841a78c3698ec172974a --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.07-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cda7075b8efdb5704e665554bbb78c23da327a98bba1beb992b1329471779c09 +size 50811441 diff --git 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a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/args.yaml b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/args.yaml new file mode 100644 index 0000000000000000000000000000000000000000..99b50ec3d4c8d13d2c9ce87017a75ca7d6be19ec --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/args.yaml @@ -0,0 +1,156 @@ +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptation_info: false +adaptive_node: false +alpha: 1.5 +amp: false +apex_amp: false +attn_method: Temporal +aug_splits: 0 +batch_size: 128 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +contrastive: false +conv_type: normal +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cross_attn: true +cut_mix: false +cutmix: 0.0 +cutmix_beta: 2.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +dataset: CREMAD +decay_epochs: 30 +decay_rate: 0.1 +device: 0 +dist_bn: '' +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +embed_dims: 256 +encode: direct +epochs: 100 +eval: false +eval_checkpoint: '' +eval_metric: top1 +event_mix: false +event_size: 48 +gaussian_n: 3 +gp: null +hflip: 0.5 +img_size: 224 +initial_checkpoint: '' +interaction: Add +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: false +load_avmodel: false +local_rank: 0 +log_interval: 50 +loss_fn: ce +lr: 0.005 +lr_cycle_limit: 1 +lr_cycle_mul: 1.0 +lr_noise: null +lr_noise_pct: 0.67 +lr_noise_std: 1.0 +mean: null +mem_dist: false +min_lr: 1.0e-05 +mix_up: false +mixup: 0.0 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 0.0 +mixup_switch_prob: 0.5 +modality: audio-visual +model: AVspikformer +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_encode_type: linear +n_groups: 1 +n_preact: false +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +node_resume: '' +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 6 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: ./exp_results +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +rand_step: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 42 +sew_cnf: ADD +shallow_sps: false +sigmoid_thres: false +smoothing: 0.1 +snr: -100 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: 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+1,563 @@ +2024-12-26 15:13:33,974 - train: [ INFO] - Training with a single process on 1 GPUs. +2024-12-26 15:13:36,540 - train: [ INFO] - learning rate is 0.000625 +2024-12-26 15:13:38,822 - train: [ INFO] - AMP not enabled. Training in float32. +2024-12-26 15:13:38,824 - train: [ INFO] - Scheduled epochs: 110 +2024-12-26 15:13:43,715 - train: [ INFO] - Train: 0 [ 0/52 ( 0%)] Loss: 1.807278 (1.8073) Acc@1: 14.0625 (14.0625) Acc@5: 82.8125 (82.8125) Time: 4.881s, 26.23/s (4.881s, 26.23/s) LR: 1.000e-06 Data: 1.492 (1.492) +2024-12-26 15:14:03,541 - train: [ INFO] - Train: 0 [ 50/52 ( 98%)] Loss: 1.804291 (1.8058) Acc@1: 14.8438 (14.4531) Acc@5: 79.6875 (81.2500) Time: 0.385s, 332.41/s (0.484s, 264.60/s) LR: 1.000e-06 Data: 0.000 (0.030) +2024-12-26 15:14:03,929 - train: [ INFO] - Train: 0 [ 51/52 (100%)] Loss: 1.792545 (1.8014) Acc@1: 21.8750 (16.9271) Acc@5: 82.0312 (81.5104) Time: 0.385s, 332.19/s (0.482s, 265.64/s) LR: 1.000e-06 Data: 0.000 (0.030) +2024-12-26 15:14:05,750 - train: [ INFO] - Eval : 0 Time: 1.705 (1.705) Loss: 1.7930 (1.7930) Acc@1: 21.8750 (21.8750)Acc@5: 81.2500 (81.2500) +2024-12-26 15:14:06,415 - train: [ INFO] - Eval : 0 Time: 0.111 (0.395) Loss: 1.7947 (1.7944) Acc@1: 19.2308 (17.2043)Acc@5: 86.5385 (84.8118) +2024-12-26 15:14:07,641 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-0.pth.tar', 17.204301198323567) + +2024-12-26 15:14:09,286 - train: [ INFO] - Train: 1 [ 0/52 ( 0%)] Loss: 1.807894 (1.8079) Acc@1: 13.2812 (13.2812) Acc@5: 82.0312 (82.0312) Time: 1.639s, 78.10/s (1.639s, 78.10/s) LR: 1.258e-04 Data: 1.167 (1.167) +2024-12-26 15:14:29,176 - train: [ INFO] - Train: 1 [ 50/52 ( 98%)] Loss: 1.575096 (1.6915) Acc@1: 40.6250 (26.9531) Acc@5: 99.2188 (90.6250) Time: 0.389s, 328.76/s (0.421s, 303.92/s) LR: 1.258e-04 Data: 0.000 (0.025) +2024-12-26 15:14:29,812 - train: [ INFO] - Train: 1 [ 51/52 (100%)] Loss: 1.560575 (1.6479) Acc@1: 39.0625 (30.9896) Acc@5: 99.2188 (93.4896) Time: 0.387s, 330.60/s (0.421s, 304.40/s) LR: 1.258e-04 Data: 0.001 (0.024) +2024-12-26 15:14:31,879 - train: [ INFO] - Eval : 1 Time: 1.754 (1.754) Loss: 1.5911 (1.5911) Acc@1: 31.2500 (31.2500)Acc@5: 96.8750 (96.8750) +2024-12-26 15:14:32,588 - train: [ INFO] - Eval : 1 Time: 0.164 (0.411) Loss: 1.6541 (1.5722) Acc@1: 24.0385 (31.4516)Acc@5: 94.2308 (96.3710) +2024-12-26 15:14:33,675 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-1.pth.tar', 31.45161292373493) + +2024-12-26 15:14:36,846 - train: [ INFO] - Train: 2 [ 0/52 ( 0%)] Loss: 1.590085 (1.5901) Acc@1: 37.5000 (37.5000) Acc@5: 98.4375 (98.4375) Time: 3.152s, 40.61/s (3.152s, 40.61/s) LR: 2.506e-04 Data: 2.673 (2.673) +2024-12-26 15:14:56,854 - train: [ INFO] - Train: 2 [ 50/52 ( 98%)] Loss: 1.424454 (1.5073) Acc@1: 50.0000 (43.7500) Acc@5: 99.2188 (98.8281) Time: 0.389s, 329.46/s (0.453s, 282.82/s) LR: 2.506e-04 Data: 0.000 (0.054) +2024-12-26 15:14:57,297 - train: [ INFO] - Train: 2 [ 51/52 (100%)] Loss: 1.499567 (1.5047) Acc@1: 38.2812 (41.9271) Acc@5: 98.4375 (98.6979) Time: 0.440s, 290.98/s (0.452s, 282.97/s) LR: 2.506e-04 Data: 0.000 (0.053) +2024-12-26 15:15:00,650 - train: [ INFO] - Eval : 2 Time: 3.072 (3.072) Loss: 1.7735 (1.7735) Acc@1: 29.6875 (29.6875)Acc@5: 89.0625 (89.0625) +2024-12-26 15:15:01,344 - train: [ INFO] - Eval : 2 Time: 0.131 (0.628) Loss: 1.9073 (1.8534) Acc@1: 19.2308 (24.4624)Acc@5: 91.3462 (89.9194) +2024-12-26 15:15:04,467 - train: [ INFO] - Train: 3 [ 0/52 ( 0%)] Loss: 1.512225 (1.5122) Acc@1: 40.6250 (40.6250) Acc@5: 98.4375 (98.4375) Time: 2.283s, 56.06/s (2.283s, 56.06/s) LR: 3.754e-04 Data: 1.822 (1.822) +2024-12-26 15:15:24,539 - train: [ INFO] - Train: 3 [ 50/52 ( 98%)] Loss: 1.359356 (1.4358) Acc@1: 50.0000 (45.3125) Acc@5: 100.0000 (99.2188) Time: 0.391s, 327.46/s (0.437s, 292.60/s) LR: 3.754e-04 Data: 0.000 (0.038) +2024-12-26 15:15:24,927 - train: [ INFO] - Train: 3 [ 51/52 (100%)] Loss: 1.352380 (1.4080) Acc@1: 57.0312 (49.2188) Acc@5: 99.2188 (99.2188) Time: 0.385s, 332.75/s (0.436s, 293.28/s) LR: 3.754e-04 Data: 0.000 (0.037) +2024-12-26 15:15:26,316 - train: [ INFO] - Eval : 3 Time: 1.199 (1.199) Loss: 1.3893 (1.3893) Acc@1: 46.8750 (46.8750)Acc@5: 97.6562 (97.6562) +2024-12-26 15:15:27,037 - train: [ INFO] - Eval : 3 Time: 0.132 (0.320) Loss: 1.5187 (1.4324) Acc@1: 31.7308 (39.3817)Acc@5: 98.0769 (97.8495) +2024-12-26 15:15:29,982 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-3.pth.tar', 39.381720553162275) + +2024-12-26 15:15:32,929 - train: [ INFO] - Train: 4 [ 0/52 ( 0%)] Loss: 1.529721 (1.5297) Acc@1: 38.2812 (38.2812) Acc@5: 96.8750 (96.8750) Time: 2.931s, 43.67/s (2.931s, 43.67/s) LR: 5.002e-04 Data: 2.442 (2.442) +2024-12-26 15:15:52,938 - train: [ INFO] - Train: 4 [ 50/52 ( 98%)] Loss: 1.381425 (1.4556) Acc@1: 50.7812 (44.5312) Acc@5: 99.2188 (98.0469) Time: 0.388s, 330.29/s (0.449s, 285.31/s) LR: 5.002e-04 Data: 0.000 (0.050) +2024-12-26 15:15:53,328 - train: [ INFO] - Train: 4 [ 51/52 (100%)] Loss: 1.480469 (1.4639) Acc@1: 49.2188 (46.0938) Acc@5: 96.0938 (97.3958) Time: 0.387s, 330.90/s (0.447s, 286.07/s) LR: 5.002e-04 Data: 0.000 (0.049) +2024-12-26 15:15:54,815 - train: [ INFO] - Eval : 4 Time: 1.247 (1.247) Loss: 1.6252 (1.6252) Acc@1: 29.6875 (29.6875)Acc@5: 100.0000 (100.0000) +2024-12-26 15:15:55,538 - train: [ INFO] - Eval : 4 Time: 0.164 (0.328) Loss: 1.5757 (1.6264) Acc@1: 30.7692 (31.4516)Acc@5: 99.0385 (97.7151) +2024-12-26 15:16:00,886 - train: [ INFO] - Train: 5 [ 0/52 ( 0%)] Loss: 1.366334 (1.3663) Acc@1: 52.3438 (52.3438) Acc@5: 97.6562 (97.6562) Time: 2.749s, 46.56/s (2.749s, 46.56/s) LR: 6.212e-04 Data: 2.307 (2.307) +2024-12-26 15:16:20,752 - train: [ INFO] - Train: 5 [ 50/52 ( 98%)] Loss: 1.386474 (1.3764) Acc@1: 47.6562 (50.0000) Acc@5: 100.0000 (98.8281) Time: 0.401s, 319.26/s (0.443s, 289.16/s) LR: 6.212e-04 Data: 0.000 (0.046) +2024-12-26 15:16:21,151 - train: [ INFO] - Train: 5 [ 51/52 (100%)] Loss: 1.358428 (1.3704) Acc@1: 52.3438 (50.7812) Acc@5: 100.0000 (99.2188) Time: 0.395s, 323.84/s (0.442s, 289.76/s) LR: 6.212e-04 Data: 0.000 (0.045) +2024-12-26 15:16:22,902 - train: [ INFO] - Eval : 5 Time: 1.513 (1.513) Loss: 1.4288 (1.4288) Acc@1: 41.4062 (41.4062)Acc@5: 99.2188 (99.2188) +2024-12-26 15:16:23,594 - train: [ INFO] - Eval : 5 Time: 0.129 (0.367) Loss: 1.3855 (1.4910) Acc@1: 40.3846 (40.8602)Acc@5: 99.0385 (98.5215) +2024-12-26 15:16:24,468 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-5.pth.tar', 40.860215258854694) + +2024-12-26 15:16:26,278 - train: [ INFO] - Train: 6 [ 0/52 ( 0%)] Loss: 1.360879 (1.3609) Acc@1: 46.0938 (46.0938) Acc@5: 99.2188 (99.2188) Time: 1.795s, 71.32/s (1.795s, 71.32/s) LR: 6.196e-04 Data: 1.373 (1.373) +2024-12-26 15:16:46,146 - train: [ INFO] - Train: 6 [ 50/52 ( 98%)] Loss: 1.308352 (1.3346) Acc@1: 60.1562 (53.1250) Acc@5: 99.2188 (99.2188) Time: 0.396s, 323.05/s (0.422s, 303.23/s) LR: 6.196e-04 Data: 0.000 (0.028) +2024-12-26 15:16:46,548 - train: [ INFO] - Train: 6 [ 51/52 (100%)] Loss: 1.347171 (1.3388) Acc@1: 51.5625 (52.6042) Acc@5: 99.2188 (99.2188) Time: 0.391s, 327.60/s (0.422s, 303.66/s) LR: 6.196e-04 Data: 0.000 (0.027) +2024-12-26 15:16:48,208 - train: [ INFO] - Eval : 6 Time: 1.421 (1.421) Loss: 1.4180 (1.4180) Acc@1: 40.6250 (40.6250)Acc@5: 98.4375 (98.4375) +2024-12-26 15:16:48,918 - train: [ INFO] - Eval : 6 Time: 0.141 (0.355) Loss: 1.5175 (1.4677) Acc@1: 36.5385 (36.5591)Acc@5: 100.0000 (98.7903) +2024-12-26 15:16:51,282 - train: [ INFO] - Train: 7 [ 0/52 ( 0%)] Loss: 1.310905 (1.3109) Acc@1: 54.6875 (54.6875) Acc@5: 100.0000 (100.0000) Time: 1.507s, 84.96/s (1.507s, 84.96/s) LR: 6.176e-04 Data: 1.075 (1.075) +2024-12-26 15:17:11,131 - train: [ INFO] - Train: 7 [ 50/52 ( 98%)] Loss: 1.276640 (1.2938) Acc@1: 59.3750 (57.0312) Acc@5: 100.0000 (100.0000) Time: 0.390s, 328.25/s (0.418s, 306.17/s) LR: 6.176e-04 Data: 0.000 (0.022) +2024-12-26 15:17:11,522 - train: [ INFO] - Train: 7 [ 51/52 (100%)] Loss: 1.269564 (1.2857) Acc@1: 53.1250 (55.7292) Acc@5: 97.6562 (99.2188) Time: 0.388s, 330.14/s (0.417s, 306.60/s) LR: 6.176e-04 Data: 0.000 (0.022) +2024-12-26 15:17:13,498 - train: [ INFO] - Eval : 7 Time: 1.794 (1.794) Loss: 1.2873 (1.2873) Acc@1: 49.2188 (49.2188)Acc@5: 100.0000 (100.0000) +2024-12-26 15:17:14,211 - train: [ INFO] - Eval : 7 Time: 0.130 (0.418) Loss: 1.4648 (1.3325) Acc@1: 44.2308 (47.5806)Acc@5: 97.1154 (98.5215) +2024-12-26 15:17:15,063 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-7.pth.tar', 47.580645284345074) + +2024-12-26 15:17:16,692 - train: [ INFO] - Train: 8 [ 0/52 ( 0%)] Loss: 1.292952 (1.2930) Acc@1: 55.4688 (55.4688) Acc@5: 99.2188 (99.2188) Time: 1.614s, 79.28/s (1.614s, 79.28/s) LR: 6.153e-04 Data: 1.165 (1.165) +2024-12-26 15:17:36,546 - train: [ INFO] - Train: 8 [ 50/52 ( 98%)] Loss: 1.357186 (1.3251) Acc@1: 53.1250 (54.2969) Acc@5: 98.4375 (98.8281) Time: 0.384s, 333.54/s (0.420s, 304.78/s) LR: 6.153e-04 Data: 0.000 (0.024) +2024-12-26 15:17:36,973 - train: [ INFO] - Train: 8 [ 51/52 (100%)] Loss: 1.197030 (1.2824) Acc@1: 60.9375 (56.5104) Acc@5: 100.0000 (99.2188) Time: 0.409s, 312.70/s (0.420s, 304.93/s) LR: 6.153e-04 Data: 0.000 (0.023) +2024-12-26 15:17:38,766 - train: [ INFO] - Eval : 8 Time: 1.608 (1.608) Loss: 1.2597 (1.2597) Acc@1: 48.4375 (48.4375)Acc@5: 100.0000 (100.0000) +2024-12-26 15:17:39,461 - train: [ INFO] - Eval : 8 Time: 0.129 (0.384) Loss: 1.2344 (1.2721) Acc@1: 42.3077 (46.9086)Acc@5: 99.0385 (99.0591) +2024-12-26 15:17:41,904 - train: [ INFO] - Train: 9 [ 0/52 ( 0%)] Loss: 1.230157 (1.2302) Acc@1: 61.7188 (61.7188) Acc@5: 98.4375 (98.4375) Time: 1.591s, 80.46/s (1.591s, 80.46/s) LR: 6.128e-04 Data: 1.121 (1.121) +2024-12-26 15:18:01,679 - train: [ INFO] - Train: 9 [ 50/52 ( 98%)] Loss: 1.144472 (1.1873) Acc@1: 68.7500 (65.2344) Acc@5: 98.4375 (98.4375) Time: 0.404s, 316.78/s (0.418s, 306.10/s) LR: 6.128e-04 Data: 0.000 (0.023) +2024-12-26 15:18:02,090 - train: [ INFO] - Train: 9 [ 51/52 (100%)] Loss: 1.233119 (1.2026) Acc@1: 57.8125 (62.7604) Acc@5: 99.2188 (98.6979) Time: 0.400s, 319.90/s (0.418s, 306.36/s) LR: 6.128e-04 Data: 0.000 (0.023) +2024-12-26 15:18:04,172 - train: [ INFO] - Eval : 9 Time: 1.918 (1.918) Loss: 1.3117 (1.3117) Acc@1: 50.0000 (50.0000)Acc@5: 97.6562 (97.6562) +2024-12-26 15:18:04,892 - train: [ INFO] - Eval : 9 Time: 0.154 (0.440) Loss: 1.3073 (1.3362) Acc@1: 49.0385 (50.4032)Acc@5: 99.0385 (97.4462) +2024-12-26 15:18:05,716 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-9.pth.tar', 50.40322609357936) + +2024-12-26 15:18:07,808 - train: [ INFO] - Train: 10 [ 0/52 ( 0%)] Loss: 1.245968 (1.2460) Acc@1: 53.1250 (53.1250) Acc@5: 99.2188 (99.2188) Time: 2.079s, 61.56/s (2.079s, 61.56/s) LR: 6.099e-04 Data: 1.643 (1.643) +2024-12-26 15:18:27,634 - train: [ INFO] - Train: 10 [ 50/52 ( 98%)] Loss: 1.144145 (1.1951) Acc@1: 63.2812 (58.2031) Acc@5: 99.2188 (99.2188) Time: 0.393s, 325.94/s (0.429s, 298.59/s) LR: 6.099e-04 Data: 0.000 (0.033) +2024-12-26 15:18:28,029 - train: [ INFO] - Train: 10 [ 51/52 (100%)] Loss: 1.256188 (1.2154) Acc@1: 61.7188 (59.3750) Acc@5: 97.6562 (98.6979) Time: 0.392s, 326.17/s (0.428s, 299.08/s) LR: 6.099e-04 Data: 0.000 (0.033) +2024-12-26 15:18:29,731 - train: [ INFO] - Eval : 10 Time: 1.472 (1.472) Loss: 2.1653 (2.1653) Acc@1: 34.3750 (34.3750)Acc@5: 90.6250 (90.6250) +2024-12-26 15:18:30,454 - train: [ INFO] - Eval : 10 Time: 0.146 (0.366) Loss: 2.0877 (1.9836) Acc@1: 36.5385 (37.3656)Acc@5: 89.4231 (92.0699) +2024-12-26 15:18:33,012 - train: [ INFO] - Train: 11 [ 0/52 ( 0%)] Loss: 1.215842 (1.2158) Acc@1: 62.5000 (62.5000) Acc@5: 100.0000 (100.0000) Time: 1.764s, 72.58/s (1.764s, 72.58/s) LR: 6.068e-04 Data: 1.306 (1.306) +2024-12-26 15:18:52,976 - train: [ INFO] - Train: 11 [ 50/52 ( 98%)] Loss: 1.080644 (1.1482) Acc@1: 64.0625 (63.2812) Acc@5: 98.4375 (99.2188) Time: 0.394s, 325.08/s (0.424s, 301.72/s) LR: 6.068e-04 Data: 0.000 (0.027) +2024-12-26 15:18:53,371 - train: [ INFO] - Train: 11 [ 51/52 (100%)] Loss: 1.172316 (1.1563) Acc@1: 61.7188 (62.7604) Acc@5: 98.4375 (98.9583) Time: 0.392s, 326.36/s (0.424s, 302.16/s) LR: 6.068e-04 Data: 0.000 (0.027) +2024-12-26 15:18:55,802 - train: [ INFO] - Eval : 11 Time: 2.278 (2.278) Loss: 1.1120 (1.1120) Acc@1: 53.9062 (53.9062)Acc@5: 98.4375 (98.4375) +2024-12-26 15:18:56,569 - train: [ INFO] - Eval : 11 Time: 0.151 (0.508) Loss: 1.3172 (1.2000) Acc@1: 45.1923 (50.2688)Acc@5: 96.1538 (98.9247) +2024-12-26 15:18:59,493 - train: [ INFO] - Train: 12 [ 0/52 ( 0%)] Loss: 1.100223 (1.1002) Acc@1: 63.2812 (63.2812) Acc@5: 99.2188 (99.2188) Time: 1.809s, 70.77/s (1.809s, 70.77/s) LR: 6.034e-04 Data: 1.383 (1.383) +2024-12-26 15:19:19,346 - train: [ INFO] - Train: 12 [ 50/52 ( 98%)] Loss: 1.155270 (1.1277) Acc@1: 63.2812 (63.2812) Acc@5: 100.0000 (99.6094) Time: 0.392s, 326.68/s (0.424s, 302.07/s) LR: 6.034e-04 Data: 0.000 (0.028) +2024-12-26 15:19:19,834 - train: [ INFO] - Train: 12 [ 51/52 (100%)] Loss: 1.177995 (1.1445) Acc@1: 60.9375 (62.5000) Acc@5: 99.2188 (99.4792) Time: 0.395s, 323.92/s (0.423s, 302.46/s) LR: 6.034e-04 Data: 0.000 (0.028) +2024-12-26 15:19:21,831 - train: [ INFO] - Eval : 12 Time: 1.743 (1.743) Loss: 1.4111 (1.4111) Acc@1: 46.0938 (46.0938)Acc@5: 96.8750 (96.8750) +2024-12-26 15:19:22,545 - train: [ INFO] - Eval : 12 Time: 0.141 (0.410) Loss: 1.5421 (1.3516) Acc@1: 53.8462 (50.8065)Acc@5: 97.1154 (97.3118) +2024-12-26 15:19:23,403 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-12.pth.tar', 50.80645206410398) + +2024-12-26 15:19:25,721 - train: [ INFO] - Train: 13 [ 0/52 ( 0%)] Loss: 0.974618 (0.9746) Acc@1: 75.0000 (75.0000) Acc@5: 99.2188 (99.2188) Time: 2.304s, 55.56/s (2.304s, 55.56/s) LR: 5.997e-04 Data: 1.861 (1.861) +2024-12-26 15:19:45,608 - train: [ INFO] - Train: 13 [ 50/52 ( 98%)] Loss: 1.029483 (1.0021) Acc@1: 64.0625 (69.5312) Acc@5: 100.0000 (99.6094) Time: 0.400s, 319.89/s (0.434s, 294.79/s) LR: 5.997e-04 Data: 0.000 (0.038) +2024-12-26 15:19:46,046 - train: [ INFO] - Train: 13 [ 51/52 (100%)] Loss: 1.080621 (1.0282) Acc@1: 67.9688 (69.0104) Acc@5: 100.0000 (99.7396) Time: 0.435s, 294.25/s (0.434s, 294.78/s) LR: 5.997e-04 Data: 0.000 (0.037) +2024-12-26 15:19:49,537 - train: [ INFO] - Eval : 13 Time: 3.264 (3.264) Loss: 1.3359 (1.3359) Acc@1: 51.5625 (51.5625)Acc@5: 96.8750 (96.8750) +2024-12-26 15:19:50,226 - train: [ INFO] - Eval : 13 Time: 0.130 (0.659) Loss: 1.4621 (1.3795) Acc@1: 45.1923 (47.0430)Acc@5: 96.1538 (97.4462) +2024-12-26 15:19:53,770 - train: [ INFO] - Train: 14 [ 0/52 ( 0%)] Loss: 1.049482 (1.0495) Acc@1: 67.1875 (67.1875) Acc@5: 100.0000 (100.0000) Time: 2.712s, 47.20/s (2.712s, 47.20/s) LR: 5.957e-04 Data: 2.261 (2.261) +2024-12-26 15:20:13,480 - train: [ INFO] - Train: 14 [ 50/52 ( 98%)] Loss: 0.992700 (1.0211) Acc@1: 75.7812 (71.4844) Acc@5: 100.0000 (100.0000) Time: 0.389s, 328.69/s (0.439s, 291.58/s) LR: 5.957e-04 Data: 0.000 (0.045) +2024-12-26 15:20:13,870 - train: [ INFO] - Train: 14 [ 51/52 (100%)] Loss: 1.086629 (1.0429) Acc@1: 69.5312 (70.8333) Acc@5: 98.4375 (99.4792) Time: 0.387s, 331.12/s (0.438s, 292.25/s) LR: 5.957e-04 Data: 0.000 (0.044) +2024-12-26 15:20:15,854 - train: [ INFO] - Eval : 14 Time: 1.738 (1.738) Loss: 1.4211 (1.4211) Acc@1: 48.4375 (48.4375)Acc@5: 97.6562 (97.6562) +2024-12-26 15:20:16,976 - train: [ INFO] - Eval : 14 Time: 0.130 (0.477) Loss: 1.7658 (1.6315) Acc@1: 42.3077 (41.8011)Acc@5: 95.1923 (96.5054) +2024-12-26 15:20:20,655 - train: [ INFO] - Train: 15 [ 0/52 ( 0%)] Loss: 0.912539 (0.9125) Acc@1: 79.6875 (79.6875) Acc@5: 100.0000 (100.0000) Time: 2.797s, 45.76/s (2.797s, 45.76/s) LR: 5.915e-04 Data: 2.356 (2.356) +2024-12-26 15:20:40,511 - train: [ INFO] - Train: 15 [ 50/52 ( 98%)] Loss: 0.958683 (0.9356) Acc@1: 76.5625 (78.1250) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.73/s (0.443s, 288.71/s) LR: 5.915e-04 Data: 0.000 (0.048) +2024-12-26 15:20:40,930 - train: [ INFO] - Train: 15 [ 51/52 (100%)] Loss: 1.202881 (1.0247) Acc@1: 62.5000 (72.9167) Acc@5: 99.2188 (99.7396) Time: 0.416s, 307.85/s (0.443s, 289.05/s) LR: 5.915e-04 Data: 0.001 (0.047) +2024-12-26 15:20:42,580 - train: [ INFO] - Eval : 15 Time: 1.398 (1.398) Loss: 1.2845 (1.2845) Acc@1: 51.5625 (51.5625)Acc@5: 98.4375 (98.4375) +2024-12-26 15:20:43,404 - train: [ INFO] - Eval : 15 Time: 0.162 (0.359) Loss: 1.3278 (1.2776) Acc@1: 50.9615 (52.6882)Acc@5: 100.0000 (98.9247) +2024-12-26 15:20:44,476 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-15.pth.tar', 52.68817228912025) + +2024-12-26 15:20:46,820 - train: [ INFO] - Train: 16 [ 0/52 ( 0%)] Loss: 0.965612 (0.9656) Acc@1: 75.7812 (75.7812) Acc@5: 100.0000 (100.0000) Time: 2.274s, 56.28/s (2.274s, 56.28/s) LR: 5.870e-04 Data: 1.832 (1.832) +2024-12-26 15:21:06,743 - train: [ INFO] - Train: 16 [ 50/52 ( 98%)] Loss: 1.028274 (0.9969) Acc@1: 73.4375 (74.6094) Acc@5: 100.0000 (100.0000) Time: 0.387s, 331.07/s (0.434s, 294.97/s) LR: 5.870e-04 Data: 0.000 (0.037) +2024-12-26 15:21:07,145 - train: [ INFO] - Train: 16 [ 51/52 (100%)] Loss: 1.000215 (0.9980) Acc@1: 71.8750 (73.6979) Acc@5: 99.2188 (99.7396) Time: 0.393s, 325.51/s (0.433s, 295.50/s) LR: 5.870e-04 Data: 0.000 (0.036) +2024-12-26 15:21:08,654 - train: [ INFO] - Eval : 16 Time: 1.268 (1.268) Loss: 1.5599 (1.5599) Acc@1: 36.7188 (36.7188)Acc@5: 92.9688 (92.9688) +2024-12-26 15:21:09,390 - train: [ INFO] - Eval : 16 Time: 0.155 (0.334) Loss: 1.4495 (1.5828) Acc@1: 48.0769 (42.6075)Acc@5: 93.2692 (93.0108) +2024-12-26 15:21:11,770 - train: [ INFO] - Train: 17 [ 0/52 ( 0%)] Loss: 0.938234 (0.9382) Acc@1: 75.7812 (75.7812) Acc@5: 100.0000 (100.0000) Time: 1.576s, 81.22/s (1.576s, 81.22/s) LR: 5.822e-04 Data: 1.130 (1.130) +2024-12-26 15:21:31,766 - train: [ INFO] - Train: 17 [ 50/52 ( 98%)] Loss: 0.939201 (0.9387) Acc@1: 75.0000 (75.3906) Acc@5: 99.2188 (99.6094) Time: 0.388s, 330.03/s (0.420s, 305.06/s) LR: 5.822e-04 Data: 0.000 (0.023) +2024-12-26 15:21:32,160 - train: [ INFO] - Train: 17 [ 51/52 (100%)] Loss: 0.920999 (0.9328) Acc@1: 75.7812 (75.5208) Acc@5: 100.0000 (99.7396) Time: 0.392s, 326.94/s (0.419s, 305.45/s) LR: 5.822e-04 Data: 0.000 (0.023) +2024-12-26 15:21:33,698 - train: [ INFO] - Eval : 17 Time: 1.365 (1.365) Loss: 1.1679 (1.1679) Acc@1: 56.2500 (56.2500)Acc@5: 100.0000 (100.0000) +2024-12-26 15:21:34,418 - train: [ INFO] - Eval : 17 Time: 0.155 (0.348) Loss: 1.2324 (1.1119) Acc@1: 52.8846 (58.4677)Acc@5: 97.1154 (98.5215) +2024-12-26 15:21:35,266 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-17.pth.tar', 58.46774214057512) + +2024-12-26 15:21:36,753 - train: [ INFO] - Train: 18 [ 0/52 ( 0%)] Loss: 0.869306 (0.8693) Acc@1: 78.1250 (78.1250) Acc@5: 100.0000 (100.0000) Time: 1.473s, 86.89/s (1.473s, 86.89/s) LR: 5.771e-04 Data: 1.021 (1.021) +2024-12-26 15:21:56,793 - train: [ INFO] - Train: 18 [ 50/52 ( 98%)] Loss: 0.946321 (0.9078) Acc@1: 76.5625 (77.3438) Acc@5: 99.2188 (99.6094) Time: 0.388s, 330.23/s (0.421s, 304.04/s) LR: 5.771e-04 Data: 0.000 (0.021) +2024-12-26 15:21:57,183 - train: [ INFO] - Train: 18 [ 51/52 (100%)] Loss: 0.972736 (0.9295) Acc@1: 74.2188 (76.3021) Acc@5: 100.0000 (99.7396) Time: 0.387s, 330.73/s (0.420s, 304.51/s) LR: 5.771e-04 Data: 0.000 (0.021) +2024-12-26 15:21:58,659 - train: [ INFO] - Eval : 18 Time: 1.290 (1.290) Loss: 1.4228 (1.4228) Acc@1: 51.5625 (51.5625)Acc@5: 98.4375 (98.4375) +2024-12-26 15:21:59,380 - train: [ INFO] - Eval : 18 Time: 0.132 (0.335) Loss: 1.1992 (1.2735) Acc@1: 55.7692 (54.9731)Acc@5: 98.0769 (97.9839) +2024-12-26 15:22:01,657 - train: [ INFO] - Train: 19 [ 0/52 ( 0%)] Loss: 0.906567 (0.9066) Acc@1: 75.7812 (75.7812) Acc@5: 100.0000 (100.0000) Time: 1.458s, 87.81/s (1.458s, 87.81/s) LR: 5.718e-04 Data: 0.971 (0.971) +2024-12-26 15:22:21,441 - train: [ INFO] - Train: 19 [ 50/52 ( 98%)] Loss: 0.865421 (0.8860) Acc@1: 83.5938 (79.6875) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.77/s (0.416s, 307.78/s) LR: 5.718e-04 Data: 0.000 (0.020) +2024-12-26 15:22:21,850 - train: [ INFO] - Train: 19 [ 51/52 (100%)] Loss: 0.935503 (0.9025) Acc@1: 75.0000 (78.1250) Acc@5: 99.2188 (99.7396) Time: 0.406s, 315.34/s (0.416s, 307.93/s) LR: 5.718e-04 Data: 0.000 (0.020) +2024-12-26 15:22:23,429 - train: [ INFO] - Eval : 19 Time: 1.363 (1.363) Loss: 2.2265 (2.2265) Acc@1: 35.1562 (35.1562)Acc@5: 95.3125 (95.3125) +2024-12-26 15:22:24,144 - train: [ INFO] - Eval : 19 Time: 0.133 (0.347) Loss: 1.8298 (2.0292) Acc@1: 43.2692 (40.7258)Acc@5: 96.1538 (95.1613) +2024-12-26 15:22:26,892 - train: [ INFO] - Train: 20 [ 0/52 ( 0%)] Loss: 0.849649 (0.8496) Acc@1: 79.6875 (79.6875) Acc@5: 99.2188 (99.2188) Time: 1.916s, 66.81/s (1.916s, 66.81/s) LR: 5.663e-04 Data: 1.447 (1.447) +2024-12-26 15:22:46,716 - train: [ INFO] - Train: 20 [ 50/52 ( 98%)] Loss: 0.989257 (0.9195) Acc@1: 75.7812 (77.7344) Acc@5: 100.0000 (99.6094) Time: 0.389s, 329.18/s (0.425s, 300.90/s) LR: 5.663e-04 Data: 0.000 (0.029) +2024-12-26 15:22:47,113 - train: [ INFO] - Train: 20 [ 51/52 (100%)] Loss: 0.944462 (0.9278) Acc@1: 75.0000 (76.8229) Acc@5: 99.2188 (99.4792) Time: 0.395s, 324.37/s (0.425s, 301.32/s) LR: 5.663e-04 Data: 0.000 (0.029) +2024-12-26 15:22:48,638 - train: [ INFO] - Eval : 20 Time: 1.357 (1.357) Loss: 2.3782 (2.3782) Acc@1: 32.0312 (32.0312)Acc@5: 98.4375 (98.4375) +2024-12-26 15:22:49,379 - train: [ INFO] - Eval : 20 Time: 0.130 (0.349) Loss: 2.6372 (2.4339) Acc@1: 29.8077 (34.0054)Acc@5: 100.0000 (99.4624) +2024-12-26 15:22:51,980 - train: [ INFO] - Train: 21 [ 0/52 ( 0%)] Loss: 0.902698 (0.9027) Acc@1: 79.6875 (79.6875) Acc@5: 100.0000 (100.0000) Time: 1.743s, 73.42/s (1.743s, 73.42/s) LR: 5.605e-04 Data: 1.304 (1.304) +2024-12-26 15:23:11,763 - train: [ INFO] - Train: 21 [ 50/52 ( 98%)] Loss: 0.935924 (0.9193) Acc@1: 77.3438 (78.5156) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.38/s (0.421s, 303.95/s) LR: 5.605e-04 Data: 0.000 (0.027) +2024-12-26 15:23:12,153 - train: [ INFO] - Train: 21 [ 51/52 (100%)] Loss: 0.913929 (0.9175) Acc@1: 75.7812 (77.6042) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.23/s (0.420s, 304.43/s) LR: 5.605e-04 Data: 0.000 (0.026) +2024-12-26 15:23:14,629 - train: [ INFO] - Eval : 21 Time: 2.216 (2.216) Loss: 1.5776 (1.5776) Acc@1: 45.3125 (45.3125)Acc@5: 100.0000 (100.0000) +2024-12-26 15:23:15,387 - train: [ INFO] - Eval : 21 Time: 0.134 (0.496) Loss: 1.5913 (1.5927) Acc@1: 41.3462 (42.7419)Acc@5: 99.0385 (98.6559) +2024-12-26 15:23:18,567 - train: [ INFO] - Train: 22 [ 0/52 ( 0%)] Loss: 0.799830 (0.7998) Acc@1: 85.1562 (85.1562) Acc@5: 100.0000 (100.0000) Time: 2.316s, 55.27/s (2.316s, 55.27/s) LR: 5.544e-04 Data: 1.856 (1.856) +2024-12-26 15:23:38,363 - train: [ INFO] - Train: 22 [ 50/52 ( 98%)] Loss: 0.850119 (0.8250) Acc@1: 82.8125 (83.9844) Acc@5: 100.0000 (100.0000) Time: 0.428s, 299.18/s (0.433s, 295.82/s) LR: 5.544e-04 Data: 0.000 (0.037) +2024-12-26 15:23:38,774 - train: [ INFO] - Train: 22 [ 51/52 (100%)] Loss: 0.899508 (0.8498) Acc@1: 78.9062 (82.2917) Acc@5: 100.0000 (100.0000) Time: 0.408s, 314.09/s (0.432s, 296.15/s) LR: 5.544e-04 Data: 0.000 (0.037) +2024-12-26 15:23:40,997 - train: [ INFO] - Eval : 22 Time: 2.011 (2.011) Loss: 0.9920 (0.9920) Acc@1: 66.4062 (66.4062)Acc@5: 99.2188 (99.2188) +2024-12-26 15:23:41,709 - train: [ INFO] - Eval : 22 Time: 0.136 (0.454) Loss: 1.1196 (1.0683) Acc@1: 57.6923 (63.3065)Acc@5: 100.0000 (98.6559) +2024-12-26 15:23:42,639 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-22.pth.tar', 63.30645198206748) + +2024-12-26 15:23:45,270 - train: [ INFO] - Train: 23 [ 0/52 ( 0%)] Loss: 0.777534 (0.7775) Acc@1: 87.5000 (87.5000) Acc@5: 100.0000 (100.0000) Time: 2.617s, 48.91/s (2.617s, 48.91/s) LR: 5.482e-04 Data: 2.191 (2.191) +2024-12-26 15:24:05,063 - train: [ INFO] - Train: 23 [ 50/52 ( 98%)] Loss: 0.955884 (0.8667) Acc@1: 71.0938 (79.2969) Acc@5: 99.2188 (99.6094) Time: 0.394s, 324.94/s (0.439s, 291.81/s) LR: 5.482e-04 Data: 0.000 (0.044) +2024-12-26 15:24:05,451 - train: [ INFO] - Train: 23 [ 51/52 (100%)] Loss: 0.880849 (0.8714) Acc@1: 77.3438 (78.6458) Acc@5: 100.0000 (99.7396) Time: 0.385s, 332.67/s (0.438s, 292.50/s) LR: 5.482e-04 Data: 0.000 (0.044) +2024-12-26 15:24:07,503 - train: [ INFO] - Eval : 23 Time: 1.794 (1.794) Loss: 1.5403 (1.5403) Acc@1: 53.9062 (53.9062)Acc@5: 94.5312 (94.5312) +2024-12-26 15:24:08,230 - train: [ INFO] - Eval : 23 Time: 0.133 (0.420) Loss: 1.3848 (1.4522) Acc@1: 54.8077 (52.2849)Acc@5: 96.1538 (94.7581) +2024-12-26 15:24:11,315 - train: [ INFO] - Train: 24 [ 0/52 ( 0%)] Loss: 0.815464 (0.8155) Acc@1: 84.3750 (84.3750) Acc@5: 100.0000 (100.0000) Time: 2.231s, 57.38/s (2.231s, 57.38/s) LR: 5.417e-04 Data: 1.786 (1.786) +2024-12-26 15:24:31,194 - train: [ INFO] - Train: 24 [ 50/52 ( 98%)] Loss: 0.826947 (0.8212) Acc@1: 78.1250 (81.2500) Acc@5: 99.2188 (99.6094) Time: 0.434s, 295.25/s (0.433s, 295.77/s) LR: 5.417e-04 Data: 0.000 (0.036) +2024-12-26 15:24:31,594 - train: [ INFO] - Train: 24 [ 51/52 (100%)] Loss: 0.823456 (0.8220) Acc@1: 83.5938 (82.0312) Acc@5: 100.0000 (99.7396) Time: 0.397s, 322.76/s (0.432s, 296.24/s) LR: 5.417e-04 Data: 0.000 (0.035) +2024-12-26 15:24:34,007 - train: [ INFO] - Eval : 24 Time: 2.185 (2.185) Loss: 1.0812 (1.0812) Acc@1: 55.4688 (55.4688)Acc@5: 100.0000 (100.0000) +2024-12-26 15:24:34,732 - train: [ INFO] - Eval : 24 Time: 0.132 (0.484) Loss: 1.2159 (1.2388) Acc@1: 60.5769 (58.6022)Acc@5: 98.0769 (98.7903) +2024-12-26 15:24:38,156 - train: [ INFO] - Train: 25 [ 0/52 ( 0%)] Loss: 0.824989 (0.8250) Acc@1: 85.1562 (85.1562) Acc@5: 100.0000 (100.0000) Time: 2.342s, 54.65/s (2.342s, 54.65/s) LR: 5.349e-04 Data: 1.902 (1.902) +2024-12-26 15:24:57,975 - train: [ INFO] - Train: 25 [ 50/52 ( 98%)] Loss: 0.725998 (0.7755) Acc@1: 88.2812 (86.7188) Acc@5: 100.0000 (100.0000) Time: 0.390s, 328.41/s (0.434s, 295.07/s) LR: 5.349e-04 Data: 0.000 (0.038) +2024-12-26 15:24:58,376 - train: [ INFO] - Train: 25 [ 51/52 (100%)] Loss: 0.796700 (0.7826) Acc@1: 82.0312 (85.1562) Acc@5: 100.0000 (100.0000) Time: 0.399s, 320.98/s (0.433s, 295.53/s) LR: 5.349e-04 Data: 0.000 (0.038) +2024-12-26 15:25:00,965 - train: [ INFO] - Eval : 25 Time: 2.316 (2.316) Loss: 1.1878 (1.1878) Acc@1: 54.6875 (54.6875)Acc@5: 98.4375 (98.4375) +2024-12-26 15:25:01,708 - train: [ INFO] - Eval : 25 Time: 0.150 (0.510) Loss: 0.9970 (1.0316) Acc@1: 61.5385 (62.7688)Acc@5: 100.0000 (99.1935) +2024-12-26 15:25:04,684 - train: [ INFO] - Train: 26 [ 0/52 ( 0%)] Loss: 0.700137 (0.7001) Acc@1: 88.2812 (88.2812) Acc@5: 100.0000 (100.0000) Time: 2.143s, 59.72/s (2.143s, 59.72/s) LR: 5.280e-04 Data: 1.653 (1.653) +2024-12-26 15:25:24,566 - train: [ INFO] - Train: 26 [ 50/52 ( 98%)] Loss: 0.883645 (0.7919) Acc@1: 78.1250 (83.2031) Acc@5: 100.0000 (100.0000) Time: 0.402s, 318.14/s (0.431s, 296.86/s) LR: 5.280e-04 Data: 0.000 (0.034) +2024-12-26 15:25:24,960 - train: [ INFO] - Train: 26 [ 51/52 (100%)] Loss: 0.727886 (0.7706) Acc@1: 87.5000 (84.6354) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.28/s (0.430s, 297.39/s) LR: 5.280e-04 Data: 0.000 (0.033) +2024-12-26 15:25:27,100 - train: [ INFO] - Eval : 26 Time: 1.935 (1.935) Loss: 1.9670 (1.9670) Acc@1: 32.0312 (32.0312)Acc@5: 97.6562 (97.6562) +2024-12-26 15:25:27,832 - train: [ INFO] - Eval : 26 Time: 0.132 (0.444) Loss: 1.9854 (1.7529) Acc@1: 42.3077 (43.5484)Acc@5: 98.0769 (98.3871) +2024-12-26 15:25:30,329 - train: [ INFO] - Train: 27 [ 0/52 ( 0%)] Loss: 0.752421 (0.7524) Acc@1: 85.1562 (85.1562) Acc@5: 100.0000 (100.0000) Time: 1.694s, 75.57/s (1.694s, 75.57/s) LR: 5.209e-04 Data: 1.266 (1.266) +2024-12-26 15:25:50,113 - train: [ INFO] - Train: 27 [ 50/52 ( 98%)] Loss: 0.738986 (0.7457) Acc@1: 89.0625 (87.1094) Acc@5: 100.0000 (100.0000) Time: 0.384s, 333.07/s (0.420s, 304.44/s) LR: 5.209e-04 Data: 0.000 (0.026) +2024-12-26 15:25:50,510 - train: [ INFO] - Train: 27 [ 51/52 (100%)] Loss: 0.702799 (0.7314) Acc@1: 86.7188 (86.9792) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.93/s (0.420s, 304.82/s) LR: 5.209e-04 Data: 0.000 (0.025) +2024-12-26 15:25:52,058 - train: [ INFO] - Eval : 27 Time: 1.346 (1.346) Loss: 1.6485 (1.6485) Acc@1: 46.8750 (46.8750)Acc@5: 95.3125 (95.3125) +2024-12-26 15:25:52,791 - train: [ INFO] - Eval : 27 Time: 0.162 (0.347) Loss: 1.4557 (1.4165) Acc@1: 55.7692 (53.7634)Acc@5: 98.0769 (97.1774) +2024-12-26 15:25:55,820 - train: [ INFO] - Train: 28 [ 0/52 ( 0%)] Loss: 0.792391 (0.7924) Acc@1: 83.5938 (83.5938) Acc@5: 99.2188 (99.2188) Time: 2.031s, 63.03/s (2.031s, 63.03/s) LR: 5.135e-04 Data: 1.586 (1.586) +2024-12-26 15:26:15,646 - train: [ INFO] - Train: 28 [ 50/52 ( 98%)] Loss: 0.668108 (0.7302) Acc@1: 89.8438 (86.7188) Acc@5: 100.0000 (99.6094) Time: 0.392s, 326.71/s (0.427s, 299.45/s) LR: 5.135e-04 Data: 0.000 (0.032) +2024-12-26 15:26:16,044 - train: [ INFO] - Train: 28 [ 51/52 (100%)] Loss: 0.766149 (0.7422) Acc@1: 85.1562 (86.1979) Acc@5: 99.2188 (99.4792) Time: 0.396s, 323.58/s (0.427s, 299.88/s) LR: 5.135e-04 Data: 0.000 (0.031) +2024-12-26 15:26:17,730 - train: [ INFO] - Eval : 28 Time: 1.464 (1.464) Loss: 1.0510 (1.0510) Acc@1: 65.6250 (65.6250)Acc@5: 99.2188 (99.2188) +2024-12-26 15:26:18,467 - train: [ INFO] - Eval : 28 Time: 0.153 (0.367) Loss: 1.1626 (1.1244) Acc@1: 56.7308 (60.7527)Acc@5: 96.1538 (97.8495) +2024-12-26 15:26:21,515 - train: [ INFO] - Train: 29 [ 0/52 ( 0%)] Loss: 0.702820 (0.7028) Acc@1: 88.2812 (88.2812) Acc@5: 100.0000 (100.0000) Time: 2.211s, 57.89/s (2.211s, 57.89/s) LR: 5.060e-04 Data: 1.754 (1.754) +2024-12-26 15:26:41,543 - train: [ INFO] - Train: 29 [ 50/52 ( 98%)] Loss: 0.737720 (0.7203) Acc@1: 86.7188 (87.5000) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.72/s (0.434s, 294.79/s) LR: 5.060e-04 Data: 0.000 (0.036) +2024-12-26 15:26:41,938 - train: [ INFO] - Train: 29 [ 51/52 (100%)] Loss: 0.729780 (0.7234) Acc@1: 87.5000 (87.5000) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.75/s (0.433s, 295.34/s) LR: 5.060e-04 Data: 0.000 (0.035) +2024-12-26 15:26:43,310 - train: [ INFO] - Eval : 29 Time: 1.184 (1.184) Loss: 1.7423 (1.7423) Acc@1: 42.9688 (42.9688)Acc@5: 99.2188 (99.2188) +2024-12-26 15:26:44,042 - train: [ INFO] - Eval : 29 Time: 0.129 (0.319) Loss: 1.6373 (1.7482) Acc@1: 33.6538 (40.5914)Acc@5: 99.0385 (98.1183) +2024-12-26 15:26:46,664 - train: [ INFO] - Train: 30 [ 0/52 ( 0%)] Loss: 0.700578 (0.7006) Acc@1: 86.7188 (86.7188) Acc@5: 100.0000 (100.0000) Time: 1.774s, 72.15/s (1.774s, 72.15/s) LR: 4.982e-04 Data: 1.317 (1.317) +2024-12-26 15:27:06,546 - train: [ INFO] - Train: 30 [ 50/52 ( 98%)] Loss: 0.677288 (0.6889) Acc@1: 92.1875 (89.4531) Acc@5: 100.0000 (100.0000) Time: 0.389s, 329.26/s (0.424s, 301.95/s) LR: 4.982e-04 Data: 0.000 (0.027) +2024-12-26 15:27:06,941 - train: [ INFO] - Train: 30 [ 51/52 (100%)] Loss: 0.726767 (0.7015) Acc@1: 89.0625 (89.3229) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.80/s (0.423s, 302.39/s) LR: 4.982e-04 Data: 0.000 (0.026) +2024-12-26 15:27:08,458 - train: [ INFO] - Eval : 30 Time: 1.311 (1.311) Loss: 1.5998 (1.5998) Acc@1: 48.4375 (48.4375)Acc@5: 99.2188 (99.2188) +2024-12-26 15:27:09,190 - train: [ INFO] - Eval : 30 Time: 0.134 (0.341) Loss: 1.9332 (1.8660) Acc@1: 42.3077 (43.1452)Acc@5: 99.0385 (98.6559) +2024-12-26 15:27:11,588 - train: [ INFO] - Train: 31 [ 0/52 ( 0%)] Loss: 0.667054 (0.6671) Acc@1: 89.8438 (89.8438) Acc@5: 100.0000 (100.0000) Time: 1.592s, 80.41/s (1.592s, 80.41/s) LR: 4.903e-04 Data: 1.160 (1.160) +2024-12-26 15:27:31,455 - train: [ INFO] - Train: 31 [ 50/52 ( 98%)] Loss: 0.753857 (0.7105) Acc@1: 85.9375 (87.8906) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.33/s (0.420s, 304.69/s) LR: 4.903e-04 Data: 0.000 (0.024) +2024-12-26 15:27:31,856 - train: [ INFO] - Train: 31 [ 51/52 (100%)] Loss: 0.778327 (0.7331) Acc@1: 86.7188 (87.5000) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.36/s (0.420s, 304.99/s) LR: 4.903e-04 Data: 0.000 (0.023) +2024-12-26 15:27:33,331 - train: [ INFO] - Eval : 31 Time: 1.297 (1.297) Loss: 1.8206 (1.8206) Acc@1: 46.0938 (46.0938)Acc@5: 97.6562 (97.6562) +2024-12-26 15:27:34,062 - train: [ INFO] - Eval : 31 Time: 0.162 (0.338) Loss: 1.8892 (1.8113) Acc@1: 37.5000 (42.8763)Acc@5: 99.0385 (96.9086) +2024-12-26 15:27:36,199 - train: [ INFO] - Train: 32 [ 0/52 ( 0%)] Loss: 0.727916 (0.7279) Acc@1: 85.9375 (85.9375) Acc@5: 100.0000 (100.0000) Time: 1.316s, 97.29/s (1.316s, 97.29/s) LR: 4.823e-04 Data: 0.929 (0.929) +2024-12-26 15:27:56,182 - train: [ INFO] - Train: 32 [ 50/52 ( 98%)] Loss: 0.668040 (0.6980) Acc@1: 93.7500 (89.8438) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.56/s (0.417s, 307.21/s) LR: 4.823e-04 Data: 0.000 (0.019) +2024-12-26 15:27:56,574 - train: [ INFO] - Train: 32 [ 51/52 (100%)] Loss: 0.714259 (0.7034) Acc@1: 88.2812 (89.3229) Acc@5: 98.4375 (99.4792) Time: 0.389s, 329.16/s (0.416s, 307.61/s) LR: 4.823e-04 Data: 0.000 (0.019) +2024-12-26 15:27:58,673 - train: [ INFO] - Eval : 32 Time: 1.856 (1.856) Loss: 1.9666 (1.9666) Acc@1: 43.7500 (43.7500)Acc@5: 96.0938 (96.0938) +2024-12-26 15:27:59,390 - train: [ INFO] - Eval : 32 Time: 0.139 (0.429) Loss: 1.7371 (1.7489) Acc@1: 51.9231 (49.0591)Acc@5: 96.1538 (96.1022) +2024-12-26 15:28:01,948 - train: [ INFO] - Train: 33 [ 0/52 ( 0%)] Loss: 0.655560 (0.6556) Acc@1: 89.8438 (89.8438) Acc@5: 100.0000 (100.0000) Time: 1.733s, 73.85/s (1.733s, 73.85/s) LR: 4.740e-04 Data: 1.245 (1.245) +2024-12-26 15:28:21,825 - train: [ INFO] - Train: 33 [ 50/52 ( 98%)] Loss: 0.628047 (0.6418) Acc@1: 92.1875 (91.0156) Acc@5: 100.0000 (100.0000) Time: 0.395s, 323.78/s (0.423s, 302.58/s) LR: 4.740e-04 Data: 0.000 (0.025) +2024-12-26 15:28:22,218 - train: [ INFO] - Train: 33 [ 51/52 (100%)] Loss: 0.650594 (0.6447) Acc@1: 93.7500 (91.9271) Acc@5: 100.0000 (100.0000) Time: 0.390s, 328.46/s (0.422s, 303.03/s) LR: 4.740e-04 Data: 0.000 (0.025) +2024-12-26 15:28:23,673 - train: [ INFO] - Eval : 33 Time: 1.276 (1.276) Loss: 1.5374 (1.5374) Acc@1: 58.5938 (58.5938)Acc@5: 96.0938 (96.0938) +2024-12-26 15:28:24,379 - train: [ INFO] - Eval : 33 Time: 0.130 (0.330) Loss: 1.4977 (1.4944) Acc@1: 56.7308 (54.5699)Acc@5: 98.0769 (96.3710) +2024-12-26 15:28:27,263 - train: [ INFO] - Train: 34 [ 0/52 ( 0%)] Loss: 0.630647 (0.6306) Acc@1: 93.7500 (93.7500) Acc@5: 100.0000 (100.0000) Time: 2.044s, 62.63/s (2.044s, 62.63/s) LR: 4.656e-04 Data: 1.589 (1.589) +2024-12-26 15:28:47,148 - train: [ INFO] - Train: 34 [ 50/52 ( 98%)] Loss: 0.611438 (0.6210) Acc@1: 93.7500 (93.7500) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.40/s (0.429s, 298.25/s) LR: 4.656e-04 Data: 0.000 (0.032) +2024-12-26 15:28:47,547 - train: [ INFO] - Train: 34 [ 51/52 (100%)] Loss: 0.725463 (0.6558) Acc@1: 88.2812 (91.9271) Acc@5: 99.2188 (99.7396) Time: 0.397s, 322.60/s (0.429s, 298.68/s) LR: 4.656e-04 Data: 0.000 (0.032) +2024-12-26 15:28:49,359 - train: [ INFO] - Eval : 34 Time: 1.614 (1.614) Loss: 1.1793 (1.1793) Acc@1: 60.1562 (60.1562)Acc@5: 100.0000 (100.0000) +2024-12-26 15:28:50,063 - train: [ INFO] - Eval : 34 Time: 0.137 (0.386) Loss: 1.1884 (1.3088) Acc@1: 57.6923 (56.3172)Acc@5: 98.0769 (97.7151) +2024-12-26 15:28:53,596 - train: [ INFO] - Train: 35 [ 0/52 ( 0%)] Loss: 0.605850 (0.6059) Acc@1: 94.5312 (94.5312) Acc@5: 99.2188 (99.2188) Time: 2.655s, 48.21/s (2.655s, 48.21/s) LR: 4.571e-04 Data: 2.164 (2.164) +2024-12-26 15:29:13,430 - train: [ INFO] - Train: 35 [ 50/52 ( 98%)] Loss: 0.596546 (0.6012) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (99.6094) Time: 0.389s, 329.01/s (0.440s, 290.83/s) LR: 4.571e-04 Data: 0.000 (0.044) +2024-12-26 15:29:13,832 - train: [ INFO] - Train: 35 [ 51/52 (100%)] Loss: 0.583468 (0.5953) Acc@1: 96.8750 (95.3125) Acc@5: 100.0000 (99.7396) Time: 0.387s, 330.71/s (0.439s, 291.51/s) LR: 4.571e-04 Data: 0.001 (0.043) +2024-12-26 15:29:15,509 - train: [ INFO] - Eval : 35 Time: 1.427 (1.427) Loss: 1.9197 (1.9197) Acc@1: 42.1875 (42.1875)Acc@5: 98.4375 (98.4375) +2024-12-26 15:29:16,202 - train: [ INFO] - Eval : 35 Time: 0.132 (0.353) Loss: 2.3472 (2.1404) Acc@1: 32.6923 (37.6344)Acc@5: 97.1154 (96.9086) +2024-12-26 15:29:18,872 - train: [ INFO] - Train: 36 [ 0/52 ( 0%)] Loss: 0.642495 (0.6425) Acc@1: 92.1875 (92.1875) Acc@5: 100.0000 (100.0000) Time: 1.778s, 71.99/s (1.778s, 71.99/s) LR: 4.484e-04 Data: 1.324 (1.324) +2024-12-26 15:29:38,693 - train: [ INFO] - Train: 36 [ 50/52 ( 98%)] Loss: 0.603250 (0.6229) Acc@1: 93.7500 (92.9688) Acc@5: 100.0000 (100.0000) Time: 0.394s, 324.80/s (0.423s, 302.79/s) LR: 4.484e-04 Data: 0.000 (0.027) +2024-12-26 15:29:39,089 - train: [ INFO] - Train: 36 [ 51/52 (100%)] Loss: 0.647186 (0.6310) Acc@1: 92.9688 (92.9688) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.32/s (0.422s, 303.21/s) LR: 4.484e-04 Data: 0.000 (0.027) +2024-12-26 15:29:40,632 - train: [ INFO] - Eval : 36 Time: 1.335 (1.335) Loss: 1.0294 (1.0294) Acc@1: 64.8438 (64.8438)Acc@5: 99.2188 (99.2188) +2024-12-26 15:29:41,358 - train: [ INFO] - Eval : 36 Time: 0.121 (0.344) Loss: 1.1468 (1.1264) Acc@1: 59.6154 (61.2903)Acc@5: 100.0000 (98.1183) +2024-12-26 15:29:43,676 - train: [ INFO] - Train: 37 [ 0/52 ( 0%)] Loss: 0.571289 (0.5713) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.462s, 87.58/s (1.462s, 87.58/s) LR: 4.396e-04 Data: 1.004 (1.004) +2024-12-26 15:30:03,432 - train: [ INFO] - Train: 37 [ 50/52 ( 98%)] Loss: 0.601092 (0.5862) Acc@1: 95.3125 (95.7031) Acc@5: 100.0000 (100.0000) Time: 0.411s, 311.55/s (0.415s, 308.16/s) LR: 4.396e-04 Data: 0.000 (0.021) +2024-12-26 15:30:03,826 - train: [ INFO] - Train: 37 [ 51/52 (100%)] Loss: 0.680290 (0.6176) Acc@1: 87.5000 (92.9688) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.42/s (0.415s, 308.51/s) LR: 4.396e-04 Data: 0.000 (0.020) +2024-12-26 15:30:05,812 - train: [ INFO] - Eval : 37 Time: 1.742 (1.742) Loss: 1.2379 (1.2379) Acc@1: 55.4688 (55.4688)Acc@5: 99.2188 (99.2188) +2024-12-26 15:30:06,551 - train: [ INFO] - Eval : 37 Time: 0.156 (0.414) Loss: 1.2176 (1.3065) Acc@1: 58.6538 (53.8978)Acc@5: 98.0769 (97.9839) +2024-12-26 15:30:09,898 - train: [ INFO] - Train: 38 [ 0/52 ( 0%)] Loss: 0.565663 (0.5657) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 2.130s, 60.11/s (2.130s, 60.11/s) LR: 4.307e-04 Data: 1.664 (1.664) +2024-12-26 15:30:29,772 - train: [ INFO] - Train: 38 [ 50/52 ( 98%)] Loss: 0.601597 (0.5836) Acc@1: 94.5312 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.387s, 331.01/s (0.430s, 297.35/s) LR: 4.307e-04 Data: 0.000 (0.034) +2024-12-26 15:30:30,162 - train: [ INFO] - Train: 38 [ 51/52 (100%)] Loss: 0.581750 (0.5830) Acc@1: 96.8750 (96.3542) Acc@5: 100.0000 (100.0000) Time: 0.388s, 330.09/s (0.430s, 297.92/s) LR: 4.307e-04 Data: 0.000 (0.033) +2024-12-26 15:30:31,852 - train: [ INFO] - Eval : 38 Time: 1.529 (1.529) Loss: 1.5400 (1.5400) Acc@1: 49.2188 (49.2188)Acc@5: 96.0938 (96.0938) +2024-12-26 15:30:32,567 - train: [ INFO] - Eval : 38 Time: 0.132 (0.374) Loss: 1.4175 (1.6000) Acc@1: 51.9231 (50.4032)Acc@5: 97.1154 (95.4301) +2024-12-26 15:30:34,933 - train: [ INFO] - Train: 39 [ 0/52 ( 0%)] Loss: 0.553988 (0.5540) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.534s, 83.42/s (1.534s, 83.42/s) LR: 4.217e-04 Data: 1.107 (1.107) +2024-12-26 15:30:54,849 - train: [ INFO] - Train: 39 [ 50/52 ( 98%)] Loss: 0.642191 (0.5981) Acc@1: 90.6250 (94.1406) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.42/s (0.420s, 305.00/s) LR: 4.217e-04 Data: 0.000 (0.023) +2024-12-26 15:30:55,241 - train: [ INFO] - Train: 39 [ 51/52 (100%)] Loss: 0.616313 (0.6042) Acc@1: 91.4062 (93.2292) Acc@5: 100.0000 (100.0000) Time: 0.389s, 329.07/s (0.419s, 305.43/s) LR: 4.217e-04 Data: 0.000 (0.022) +2024-12-26 15:30:57,324 - train: [ INFO] - Eval : 39 Time: 1.870 (1.870) Loss: 1.3306 (1.3306) Acc@1: 59.3750 (59.3750)Acc@5: 96.8750 (96.8750) +2024-12-26 15:30:58,049 - train: [ INFO] - Eval : 39 Time: 0.131 (0.432) Loss: 1.4560 (1.3199) Acc@1: 50.0000 (57.6613)Acc@5: 96.1538 (97.8495) +2024-12-26 15:31:01,537 - train: [ INFO] - Train: 40 [ 0/52 ( 0%)] Loss: 0.563835 (0.5638) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 2.677s, 47.81/s (2.677s, 47.81/s) LR: 4.125e-04 Data: 2.213 (2.213) +2024-12-26 15:31:21,383 - train: [ INFO] - Train: 40 [ 50/52 ( 98%)] Loss: 0.585287 (0.5746) Acc@1: 95.3125 (95.7031) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.33/s (0.441s, 290.36/s) LR: 4.125e-04 Data: 0.000 (0.045) +2024-12-26 15:31:21,775 - train: [ INFO] - Train: 40 [ 51/52 (100%)] Loss: 0.569385 (0.5728) Acc@1: 97.6562 (96.3542) Acc@5: 100.0000 (100.0000) Time: 0.390s, 328.01/s (0.440s, 291.01/s) LR: 4.125e-04 Data: 0.000 (0.044) +2024-12-26 15:31:23,394 - train: [ INFO] - Eval : 40 Time: 1.347 (1.347) Loss: 1.1931 (1.1931) Acc@1: 58.5938 (58.5938)Acc@5: 97.6562 (97.6562) +2024-12-26 15:31:24,089 - train: [ INFO] - Eval : 40 Time: 0.135 (0.340) Loss: 1.3607 (1.3593) Acc@1: 51.9231 (53.0914)Acc@5: 95.1923 (97.1774) +2024-12-26 15:31:27,096 - train: [ INFO] - Train: 41 [ 0/52 ( 0%)] Loss: 0.564811 (0.5648) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 2.174s, 58.87/s (2.174s, 58.87/s) LR: 4.033e-04 Data: 1.702 (1.702) +2024-12-26 15:31:46,868 - train: [ INFO] - Train: 41 [ 50/52 ( 98%)] Loss: 0.595913 (0.5804) Acc@1: 94.5312 (94.9219) Acc@5: 100.0000 (100.0000) Time: 0.389s, 329.46/s (0.429s, 298.08/s) LR: 4.033e-04 Data: 0.000 (0.034) +2024-12-26 15:31:47,258 - train: [ INFO] - Train: 41 [ 51/52 (100%)] Loss: 0.608940 (0.5899) Acc@1: 94.5312 (94.7917) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.79/s (0.429s, 298.63/s) LR: 4.033e-04 Data: 0.000 (0.034) +2024-12-26 15:31:48,655 - train: [ INFO] - Eval : 41 Time: 1.179 (1.179) Loss: 1.2173 (1.2173) Acc@1: 58.5938 (58.5938)Acc@5: 98.4375 (98.4375) +2024-12-26 15:31:49,361 - train: [ INFO] - Eval : 41 Time: 0.134 (0.314) Loss: 1.2496 (1.2579) Acc@1: 58.6538 (59.1398)Acc@5: 99.0385 (97.8495) +2024-12-26 15:31:52,562 - train: [ INFO] - Train: 42 [ 0/52 ( 0%)] Loss: 0.557601 (0.5576) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.750s, 73.15/s (1.750s, 73.15/s) LR: 3.940e-04 Data: 1.299 (1.299) +2024-12-26 15:32:12,390 - train: [ INFO] - Train: 42 [ 50/52 ( 98%)] Loss: 0.602239 (0.5799) Acc@1: 93.7500 (94.9219) Acc@5: 100.0000 (100.0000) Time: 0.389s, 328.84/s (0.422s, 303.02/s) LR: 3.940e-04 Data: 0.000 (0.027) +2024-12-26 15:32:12,782 - train: [ INFO] - Train: 42 [ 51/52 (100%)] Loss: 0.581466 (0.5804) Acc@1: 92.9688 (94.2708) Acc@5: 100.0000 (100.0000) Time: 0.390s, 328.60/s (0.422s, 303.48/s) LR: 3.940e-04 Data: 0.000 (0.026) +2024-12-26 15:32:14,478 - train: [ INFO] - Eval : 42 Time: 1.452 (1.452) Loss: 1.3341 (1.3341) Acc@1: 59.3750 (59.3750)Acc@5: 96.0938 (96.0938) +2024-12-26 15:32:15,195 - train: [ INFO] - Eval : 42 Time: 0.133 (0.362) Loss: 1.1166 (1.2723) Acc@1: 67.3077 (59.8118)Acc@5: 100.0000 (97.3118) +2024-12-26 15:32:18,349 - train: [ INFO] - Train: 43 [ 0/52 ( 0%)] Loss: 0.537834 (0.5378) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.257s, 56.70/s (2.257s, 56.70/s) LR: 3.846e-04 Data: 1.806 (1.806) +2024-12-26 15:32:38,223 - train: [ INFO] - Train: 43 [ 50/52 ( 98%)] Loss: 0.575514 (0.5567) Acc@1: 94.5312 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.388s, 330.27/s (0.433s, 295.42/s) LR: 3.846e-04 Data: 0.000 (0.037) +2024-12-26 15:32:38,625 - train: [ INFO] - Train: 43 [ 51/52 (100%)] Loss: 0.587288 (0.5669) Acc@1: 94.5312 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.399s, 320.92/s (0.433s, 295.87/s) LR: 3.846e-04 Data: 0.000 (0.036) +2024-12-26 15:32:39,998 - train: [ INFO] - Eval : 43 Time: 1.223 (1.223) Loss: 1.1609 (1.1609) Acc@1: 60.9375 (60.9375)Acc@5: 97.6562 (97.6562) +2024-12-26 15:32:40,715 - train: [ INFO] - Eval : 43 Time: 0.142 (0.323) Loss: 0.9873 (1.0476) Acc@1: 68.2692 (65.7258)Acc@5: 99.0385 (98.5215) +2024-12-26 15:32:41,568 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-43.pth.tar', 65.7258068617954) + +2024-12-26 15:32:43,223 - train: [ INFO] - Train: 44 [ 0/52 ( 0%)] Loss: 0.543745 (0.5437) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.632s, 78.45/s (1.632s, 78.45/s) LR: 3.751e-04 Data: 1.209 (1.209) +2024-12-26 15:33:03,153 - train: [ INFO] - Train: 44 [ 50/52 ( 98%)] Loss: 0.541166 (0.5425) Acc@1: 98.4375 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.77/s (0.422s, 303.61/s) LR: 3.751e-04 Data: 0.000 (0.025) +2024-12-26 15:33:03,547 - train: [ INFO] - Train: 44 [ 51/52 (100%)] Loss: 0.578234 (0.5544) Acc@1: 96.0938 (97.3958) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.68/s (0.421s, 304.04/s) LR: 3.751e-04 Data: 0.000 (0.024) +2024-12-26 15:33:05,028 - train: [ INFO] - Eval : 44 Time: 1.260 (1.260) Loss: 0.9415 (0.9415) Acc@1: 67.9688 (67.9688)Acc@5: 99.2188 (99.2188) +2024-12-26 15:33:05,793 - train: [ INFO] - Eval : 44 Time: 0.156 (0.337) Loss: 1.1308 (1.1371) Acc@1: 58.6538 (61.5591)Acc@5: 100.0000 (98.3871) +2024-12-26 15:33:08,250 - train: [ INFO] - Train: 45 [ 0/52 ( 0%)] Loss: 0.563836 (0.5638) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.572s, 81.45/s (1.572s, 81.45/s) LR: 3.656e-04 Data: 1.148 (1.148) +2024-12-26 15:33:28,063 - train: [ INFO] - Train: 45 [ 50/52 ( 98%)] Loss: 0.569054 (0.5664) Acc@1: 96.8750 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.40/s (0.418s, 305.99/s) LR: 3.656e-04 Data: 0.000 (0.024) +2024-12-26 15:33:28,453 - train: [ INFO] - Train: 45 [ 51/52 (100%)] Loss: 0.565513 (0.5661) Acc@1: 95.3125 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.388s, 330.15/s (0.418s, 306.42/s) LR: 3.656e-04 Data: 0.000 (0.023) +2024-12-26 15:33:30,192 - train: [ INFO] - Eval : 45 Time: 1.495 (1.495) Loss: 1.2786 (1.2786) Acc@1: 63.2812 (63.2812)Acc@5: 96.8750 (96.8750) +2024-12-26 15:33:30,906 - train: [ INFO] - Eval : 45 Time: 0.143 (0.368) Loss: 1.1472 (1.1775) Acc@1: 59.6154 (61.6935)Acc@5: 97.1154 (96.7742) +2024-12-26 15:33:33,379 - train: [ INFO] - Train: 46 [ 0/52 ( 0%)] Loss: 0.539781 (0.5398) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.620s, 79.00/s (1.620s, 79.00/s) LR: 3.560e-04 Data: 1.139 (1.139) +2024-12-26 15:33:53,207 - train: [ INFO] - Train: 46 [ 50/52 ( 98%)] Loss: 0.545252 (0.5425) Acc@1: 98.4375 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.78/s (0.420s, 304.99/s) LR: 3.560e-04 Data: 0.000 (0.023) +2024-12-26 15:33:53,603 - train: [ INFO] - Train: 46 [ 51/52 (100%)] Loss: 0.539950 (0.5417) Acc@1: 98.4375 (97.9167) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.36/s (0.419s, 305.36/s) LR: 3.560e-04 Data: 0.000 (0.023) +2024-12-26 15:33:55,953 - train: [ INFO] - Eval : 46 Time: 2.161 (2.161) Loss: 1.5737 (1.5737) Acc@1: 49.2188 (49.2188)Acc@5: 96.8750 (96.8750) +2024-12-26 15:33:56,730 - train: [ INFO] - Eval : 46 Time: 0.130 (0.490) Loss: 1.2624 (1.3816) Acc@1: 63.4615 (55.5108)Acc@5: 99.0385 (98.2527) +2024-12-26 15:33:59,491 - train: [ INFO] - Train: 47 [ 0/52 ( 0%)] Loss: 0.546476 (0.5465) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.895s, 67.55/s (1.895s, 67.55/s) LR: 3.464e-04 Data: 1.459 (1.459) +2024-12-26 15:34:19,245 - train: [ INFO] - Train: 47 [ 50/52 ( 98%)] Loss: 0.557167 (0.5518) Acc@1: 96.8750 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.389s, 328.75/s (0.424s, 302.21/s) LR: 3.464e-04 Data: 0.000 (0.030) +2024-12-26 15:34:19,640 - train: [ INFO] - Train: 47 [ 51/52 (100%)] Loss: 0.517916 (0.5405) Acc@1: 97.6562 (97.9167) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.26/s (0.423s, 302.66/s) LR: 3.464e-04 Data: 0.000 (0.029) +2024-12-26 15:34:21,250 - train: [ INFO] - Eval : 47 Time: 1.405 (1.405) Loss: 1.0919 (1.0919) Acc@1: 60.1562 (60.1562)Acc@5: 99.2188 (99.2188) +2024-12-26 15:34:21,973 - train: [ INFO] - Eval : 47 Time: 0.133 (0.355) Loss: 1.0459 (1.0819) Acc@1: 61.5385 (62.9032)Acc@5: 99.0385 (99.0591) +2024-12-26 15:34:24,852 - train: [ INFO] - Train: 48 [ 0/52 ( 0%)] Loss: 0.537299 (0.5373) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.044s, 62.61/s (2.044s, 62.61/s) LR: 3.368e-04 Data: 1.584 (1.584) +2024-12-26 15:34:44,674 - train: [ INFO] - Train: 48 [ 50/52 ( 98%)] Loss: 0.574853 (0.5561) Acc@1: 96.0938 (97.2656) Acc@5: 99.2188 (99.6094) Time: 0.401s, 318.90/s (0.428s, 299.20/s) LR: 3.368e-04 Data: 0.000 (0.032) +2024-12-26 15:34:45,064 - train: [ INFO] - Train: 48 [ 51/52 (100%)] Loss: 0.524705 (0.5456) Acc@1: 96.8750 (97.1354) Acc@5: 100.0000 (99.7396) Time: 0.387s, 330.64/s (0.427s, 299.74/s) LR: 3.368e-04 Data: 0.000 (0.031) +2024-12-26 15:34:46,605 - train: [ INFO] - Eval : 48 Time: 1.289 (1.289) Loss: 1.3817 (1.3817) Acc@1: 59.3750 (59.3750)Acc@5: 93.7500 (93.7500) +2024-12-26 15:34:47,310 - train: [ INFO] - Eval : 48 Time: 0.136 (0.332) Loss: 0.9697 (1.1722) Acc@1: 64.4231 (60.7527)Acc@5: 100.0000 (96.9086) +2024-12-26 15:34:49,630 - train: [ INFO] - Train: 49 [ 0/52 ( 0%)] Loss: 0.527881 (0.5279) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.452s, 88.13/s (1.452s, 88.13/s) LR: 3.272e-04 Data: 0.998 (0.998) +2024-12-26 15:35:09,553 - train: [ INFO] - Train: 49 [ 50/52 ( 98%)] Loss: 0.542305 (0.5351) Acc@1: 96.0938 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.400s, 320.06/s (0.418s, 306.57/s) LR: 3.272e-04 Data: 0.000 (0.021) +2024-12-26 15:35:09,949 - train: [ INFO] - Train: 49 [ 51/52 (100%)] Loss: 0.508006 (0.5261) Acc@1: 98.4375 (97.9167) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.74/s (0.417s, 306.92/s) LR: 3.272e-04 Data: 0.000 (0.021) +2024-12-26 15:35:11,497 - train: [ INFO] - Eval : 49 Time: 1.342 (1.342) Loss: 1.0247 (1.0247) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 15:35:12,236 - train: [ INFO] - Eval : 49 Time: 0.165 (0.347) Loss: 1.2639 (1.2433) Acc@1: 54.8077 (58.7366)Acc@5: 93.2692 (95.9677) +2024-12-26 15:35:15,294 - train: [ INFO] - Train: 50 [ 0/52 ( 0%)] Loss: 0.534023 (0.5340) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.209s, 57.94/s (2.209s, 57.94/s) LR: 3.175e-04 Data: 1.770 (1.770) +2024-12-26 15:35:35,345 - train: [ INFO] - Train: 50 [ 50/52 ( 98%)] Loss: 0.535360 (0.5347) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.38/s (0.435s, 294.09/s) LR: 3.175e-04 Data: 0.000 (0.036) +2024-12-26 15:35:35,786 - train: [ INFO] - Train: 50 [ 51/52 (100%)] Loss: 0.552473 (0.5406) Acc@1: 97.6562 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.438s, 292.20/s (0.435s, 294.06/s) LR: 3.175e-04 Data: 0.000 (0.035) +2024-12-26 15:35:37,708 - train: [ INFO] - Eval : 50 Time: 1.702 (1.702) Loss: 1.1944 (1.1944) Acc@1: 59.3750 (59.3750)Acc@5: 97.6562 (97.6562) +2024-12-26 15:35:38,457 - train: [ INFO] - Eval : 50 Time: 0.137 (0.409) Loss: 1.2930 (1.1698) Acc@1: 58.6538 (59.4086)Acc@5: 95.1923 (97.9839) +2024-12-26 15:35:41,336 - train: [ INFO] - Train: 51 [ 0/52 ( 0%)] Loss: 0.507620 (0.5076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.076s, 61.67/s (2.076s, 61.67/s) LR: 3.078e-04 Data: 1.634 (1.634) +2024-12-26 15:36:01,288 - train: [ INFO] - Train: 51 [ 50/52 ( 98%)] Loss: 0.525265 (0.5164) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.72/s (0.431s, 297.01/s) LR: 3.078e-04 Data: 0.000 (0.033) +2024-12-26 15:36:01,678 - train: [ INFO] - Train: 51 [ 51/52 (100%)] Loss: 0.547786 (0.5269) Acc@1: 96.8750 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.387s, 330.62/s (0.430s, 297.59/s) LR: 3.078e-04 Data: 0.000 (0.033) +2024-12-26 15:36:04,065 - train: [ INFO] - Eval : 51 Time: 2.172 (2.172) Loss: 0.9046 (0.9046) Acc@1: 69.5312 (69.5312)Acc@5: 98.4375 (98.4375) +2024-12-26 15:36:04,749 - train: [ INFO] - Eval : 51 Time: 0.129 (0.476) Loss: 0.9177 (1.0083) Acc@1: 68.2692 (65.7258)Acc@5: 100.0000 (98.6559) +2024-12-26 15:36:07,777 - train: [ INFO] - Train: 52 [ 0/52 ( 0%)] Loss: 0.502122 (0.5021) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.033s, 62.95/s (2.033s, 62.95/s) LR: 2.982e-04 Data: 1.602 (1.602) +2024-12-26 15:36:27,695 - train: [ INFO] - Train: 52 [ 50/52 ( 98%)] Loss: 0.539116 (0.5206) Acc@1: 97.6562 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.55/s (0.430s, 297.90/s) LR: 2.982e-04 Data: 0.000 (0.033) +2024-12-26 15:36:28,092 - train: [ INFO] - Train: 52 [ 51/52 (100%)] Loss: 0.512653 (0.5180) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.394s, 324.52/s (0.429s, 298.37/s) LR: 2.982e-04 Data: 0.000 (0.032) +2024-12-26 15:36:30,516 - train: [ INFO] - Eval : 52 Time: 2.198 (2.198) Loss: 1.0056 (1.0056) Acc@1: 61.7188 (61.7188)Acc@5: 99.2188 (99.2188) +2024-12-26 15:36:31,245 - train: [ INFO] - Eval : 52 Time: 0.134 (0.488) Loss: 1.1334 (1.0765) Acc@1: 60.5769 (62.0968)Acc@5: 99.0385 (98.2527) +2024-12-26 15:36:34,374 - train: [ INFO] - Train: 53 [ 0/52 ( 0%)] Loss: 0.517088 (0.5171) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.236s, 57.25/s (2.236s, 57.25/s) LR: 2.886e-04 Data: 1.790 (1.790) +2024-12-26 15:36:54,313 - train: [ INFO] - Train: 53 [ 50/52 ( 98%)] Loss: 0.515152 (0.5161) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.396s, 323.33/s (0.433s, 295.38/s) LR: 2.886e-04 Data: 0.000 (0.036) +2024-12-26 15:36:54,713 - train: [ INFO] - Train: 53 [ 51/52 (100%)] Loss: 0.572239 (0.5348) Acc@1: 96.8750 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.396s, 323.54/s (0.433s, 295.87/s) LR: 2.886e-04 Data: 0.000 (0.036) +2024-12-26 15:36:56,346 - train: [ INFO] - Eval : 53 Time: 1.424 (1.424) Loss: 0.8570 (0.8570) Acc@1: 66.4062 (66.4062)Acc@5: 96.8750 (96.8750) +2024-12-26 15:36:57,119 - train: [ INFO] - Eval : 53 Time: 0.143 (0.366) Loss: 1.0783 (0.9929) Acc@1: 56.7308 (65.0538)Acc@5: 98.0769 (97.8495) +2024-12-26 15:37:00,392 - train: [ INFO] - Train: 54 [ 0/52 ( 0%)] Loss: 0.487198 (0.4872) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.432s, 52.64/s (2.432s, 52.64/s) LR: 2.790e-04 Data: 1.978 (1.978) +2024-12-26 15:37:20,258 - train: [ INFO] - Train: 54 [ 50/52 ( 98%)] Loss: 0.500162 (0.4937) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.403s, 317.94/s (0.436s, 293.73/s) LR: 2.790e-04 Data: 0.001 (0.040) +2024-12-26 15:37:20,679 - train: [ INFO] - Train: 54 [ 51/52 (100%)] Loss: 0.509243 (0.4989) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.410s, 312.01/s (0.435s, 294.06/s) LR: 2.790e-04 Data: 0.000 (0.039) +2024-12-26 15:37:22,339 - train: [ INFO] - Eval : 54 Time: 1.490 (1.490) Loss: 1.2327 (1.2327) Acc@1: 57.8125 (57.8125)Acc@5: 97.6562 (97.6562) +2024-12-26 15:37:23,067 - train: [ INFO] - Eval : 54 Time: 0.137 (0.370) Loss: 1.0077 (1.1530) Acc@1: 68.2692 (61.9624)Acc@5: 97.1154 (97.8495) +2024-12-26 15:37:26,782 - train: [ INFO] - Train: 55 [ 0/52 ( 0%)] Loss: 0.488703 (0.4887) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.878s, 44.48/s (2.878s, 44.48/s) LR: 2.694e-04 Data: 2.379 (2.379) +2024-12-26 15:37:46,520 - train: [ INFO] - Train: 55 [ 50/52 ( 98%)] Loss: 0.519634 (0.5042) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.401s, 319.01/s (0.443s, 289.07/s) LR: 2.694e-04 Data: 0.000 (0.048) +2024-12-26 15:37:46,912 - train: [ INFO] - Train: 55 [ 51/52 (100%)] Loss: 0.530830 (0.5131) Acc@1: 98.4375 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.390s, 328.34/s (0.442s, 289.74/s) LR: 2.694e-04 Data: 0.000 (0.047) +2024-12-26 15:37:48,577 - train: [ INFO] - Eval : 55 Time: 1.456 (1.456) Loss: 1.0886 (1.0886) Acc@1: 66.4062 (66.4062)Acc@5: 97.6562 (97.6562) +2024-12-26 15:37:49,317 - train: [ INFO] - Eval : 55 Time: 0.147 (0.366) Loss: 0.9284 (1.0311) Acc@1: 70.1923 (67.0699)Acc@5: 98.0769 (98.5215) +2024-12-26 15:37:50,147 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-55.pth.tar', 67.06989230904527) + +2024-12-26 15:37:52,317 - train: [ INFO] - Train: 56 [ 0/52 ( 0%)] Loss: 0.498274 (0.4983) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.148s, 59.59/s (2.148s, 59.59/s) LR: 2.599e-04 Data: 1.701 (1.701) +2024-12-26 15:38:12,249 - train: [ INFO] - Train: 56 [ 50/52 ( 98%)] Loss: 0.508863 (0.5036) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.395s, 323.74/s (0.431s, 296.89/s) LR: 2.599e-04 Data: 0.000 (0.034) +2024-12-26 15:38:12,646 - train: [ INFO] - Train: 56 [ 51/52 (100%)] Loss: 0.511106 (0.5061) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.395s, 324.34/s (0.430s, 297.37/s) LR: 2.599e-04 Data: 0.000 (0.034) +2024-12-26 15:38:14,069 - train: [ INFO] - Eval : 56 Time: 1.194 (1.194) Loss: 1.1815 (1.1815) Acc@1: 53.9062 (53.9062)Acc@5: 100.0000 (100.0000) +2024-12-26 15:38:14,789 - train: [ INFO] - Eval : 56 Time: 0.144 (0.319) Loss: 1.0713 (1.1998) Acc@1: 64.4231 (57.1237)Acc@5: 99.0385 (98.5215) +2024-12-26 15:38:17,564 - train: [ INFO] - Train: 57 [ 0/52 ( 0%)] Loss: 0.504117 (0.5041) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.910s, 67.03/s (1.910s, 67.03/s) LR: 2.504e-04 Data: 1.471 (1.471) +2024-12-26 15:38:37,441 - train: [ INFO] - Train: 57 [ 50/52 ( 98%)] Loss: 0.486481 (0.4953) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.395s, 323.78/s (0.426s, 300.26/s) LR: 2.504e-04 Data: 0.000 (0.030) +2024-12-26 15:38:37,836 - train: [ INFO] - Train: 57 [ 51/52 (100%)] Loss: 0.511503 (0.5007) Acc@1: 97.6562 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.393s, 326.00/s (0.426s, 300.72/s) LR: 2.504e-04 Data: 0.000 (0.029) +2024-12-26 15:38:39,397 - train: [ INFO] - Eval : 57 Time: 1.287 (1.287) Loss: 1.0857 (1.0857) Acc@1: 64.8438 (64.8438)Acc@5: 97.6562 (97.6562) +2024-12-26 15:38:40,088 - train: [ INFO] - Eval : 57 Time: 0.130 (0.330) Loss: 0.9538 (1.0347) Acc@1: 64.4231 (63.7097)Acc@5: 98.0769 (98.2527) +2024-12-26 15:38:42,387 - train: [ INFO] - Train: 58 [ 0/52 ( 0%)] Loss: 0.516913 (0.5169) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.493s, 85.71/s (1.493s, 85.71/s) LR: 2.410e-04 Data: 1.050 (1.050) +2024-12-26 15:39:02,179 - train: [ INFO] - Train: 58 [ 50/52 ( 98%)] Loss: 0.503780 (0.5103) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.75/s (0.416s, 307.43/s) LR: 2.410e-04 Data: 0.000 (0.022) +2024-12-26 15:39:02,577 - train: [ INFO] - Train: 58 [ 51/52 (100%)] Loss: 0.504734 (0.5085) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.395s, 324.08/s (0.416s, 307.74/s) LR: 2.410e-04 Data: 0.000 (0.022) +2024-12-26 15:39:03,921 - train: [ INFO] - Eval : 58 Time: 1.141 (1.141) Loss: 0.9665 (0.9665) Acc@1: 67.1875 (67.1875)Acc@5: 96.0938 (96.0938) +2024-12-26 15:39:04,657 - train: [ INFO] - Eval : 58 Time: 0.130 (0.313) Loss: 1.1350 (1.0298) Acc@1: 58.6538 (64.1129)Acc@5: 97.1154 (97.5806) +2024-12-26 15:39:07,061 - train: [ INFO] - Train: 59 [ 0/52 ( 0%)] Loss: 0.488649 (0.4886) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.600s, 80.02/s (1.600s, 80.02/s) LR: 2.317e-04 Data: 1.125 (1.125) +2024-12-26 15:39:26,819 - train: [ INFO] - Train: 59 [ 50/52 ( 98%)] Loss: 0.535331 (0.5120) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.19/s (0.418s, 306.17/s) LR: 2.317e-04 Data: 0.000 (0.023) +2024-12-26 15:39:27,221 - train: [ INFO] - Train: 59 [ 51/52 (100%)] Loss: 0.514160 (0.5127) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.389s, 329.25/s (0.418s, 306.58/s) LR: 2.317e-04 Data: 0.001 (0.023) +2024-12-26 15:39:28,720 - train: [ INFO] - Eval : 59 Time: 1.248 (1.248) Loss: 1.0439 (1.0439) Acc@1: 64.0625 (64.0625)Acc@5: 97.6562 (97.6562) +2024-12-26 15:39:29,418 - train: [ INFO] - Eval : 59 Time: 0.134 (0.324) Loss: 1.2046 (1.0526) Acc@1: 59.6154 (65.9946)Acc@5: 98.0769 (97.8495) +2024-12-26 15:39:31,733 - train: [ INFO] - Train: 60 [ 0/52 ( 0%)] Loss: 0.502369 (0.5024) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.493s, 85.73/s (1.493s, 85.73/s) LR: 2.225e-04 Data: 1.071 (1.071) +2024-12-26 15:39:51,485 - train: [ INFO] - Train: 60 [ 50/52 ( 98%)] Loss: 0.501365 (0.5019) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.46/s (0.416s, 307.73/s) LR: 2.225e-04 Data: 0.000 (0.022) +2024-12-26 15:39:51,917 - train: [ INFO] - Train: 60 [ 51/52 (100%)] Loss: 0.492069 (0.4986) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.389s, 329.31/s (0.415s, 308.12/s) LR: 2.225e-04 Data: 0.000 (0.022) +2024-12-26 15:39:53,457 - train: [ INFO] - Eval : 60 Time: 1.321 (1.321) Loss: 0.9436 (0.9436) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 15:39:54,207 - train: [ INFO] - Eval : 60 Time: 0.166 (0.345) Loss: 0.8687 (0.9502) Acc@1: 70.1923 (67.2043)Acc@5: 99.0385 (98.7903) +2024-12-26 15:39:55,048 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-60.pth.tar', 67.20430091119582) + +2024-12-26 15:39:56,595 - train: [ INFO] - Train: 61 [ 0/52 ( 0%)] Loss: 0.484142 (0.4841) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.532s, 83.57/s (1.532s, 83.57/s) LR: 2.133e-04 Data: 1.105 (1.105) +2024-12-26 15:40:16,316 - train: [ INFO] - Train: 61 [ 50/52 ( 98%)] Loss: 0.561068 (0.5226) Acc@1: 96.8750 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.49/s (0.416s, 308.03/s) LR: 2.133e-04 Data: 0.000 (0.023) +2024-12-26 15:40:16,704 - train: [ INFO] - Train: 61 [ 51/52 (100%)] Loss: 0.489167 (0.5115) Acc@1: 99.2188 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.39/s (0.415s, 308.47/s) LR: 2.133e-04 Data: 0.000 (0.022) +2024-12-26 15:40:18,769 - train: [ INFO] - Eval : 61 Time: 1.887 (1.887) Loss: 1.1649 (1.1649) Acc@1: 64.8438 (64.8438)Acc@5: 97.6562 (97.6562) +2024-12-26 15:40:19,518 - train: [ INFO] - Eval : 61 Time: 0.132 (0.439) Loss: 1.2424 (1.1679) Acc@1: 54.8077 (60.4839)Acc@5: 99.0385 (98.6559) +2024-12-26 15:40:22,262 - train: [ INFO] - Train: 62 [ 0/52 ( 0%)] Loss: 0.485747 (0.4857) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.899s, 67.42/s (1.899s, 67.42/s) LR: 2.043e-04 Data: 1.436 (1.436) +2024-12-26 15:40:42,069 - train: [ INFO] - Train: 62 [ 50/52 ( 98%)] Loss: 0.488969 (0.4874) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.395s, 323.73/s (0.424s, 301.75/s) LR: 2.043e-04 Data: 0.000 (0.029) +2024-12-26 15:40:42,459 - train: [ INFO] - Train: 62 [ 51/52 (100%)] Loss: 0.510311 (0.4950) Acc@1: 96.8750 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.80/s (0.423s, 302.25/s) LR: 2.043e-04 Data: 0.000 (0.029) +2024-12-26 15:40:43,908 - train: [ INFO] - Eval : 62 Time: 1.238 (1.238) Loss: 0.9228 (0.9228) Acc@1: 67.1875 (67.1875)Acc@5: 100.0000 (100.0000) +2024-12-26 15:40:44,634 - train: [ INFO] - Eval : 62 Time: 0.133 (0.327) Loss: 1.2063 (1.1726) Acc@1: 60.5769 (60.7527)Acc@5: 98.0769 (99.0591) +2024-12-26 15:40:48,197 - train: [ INFO] - Train: 63 [ 0/52 ( 0%)] Loss: 0.482848 (0.4828) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.969s, 65.02/s (1.969s, 65.02/s) LR: 1.954e-04 Data: 1.542 (1.542) +2024-12-26 15:41:07,950 - train: [ INFO] - Train: 63 [ 50/52 ( 98%)] Loss: 0.503897 (0.4934) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.408s, 313.90/s (0.425s, 300.98/s) LR: 1.954e-04 Data: 0.000 (0.031) +2024-12-26 15:41:08,347 - train: [ INFO] - Train: 63 [ 51/52 (100%)] Loss: 0.509886 (0.4989) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.395s, 324.24/s (0.425s, 301.39/s) LR: 1.954e-04 Data: 0.000 (0.031) +2024-12-26 15:41:09,783 - train: [ INFO] - Eval : 63 Time: 1.162 (1.162) Loss: 0.9888 (0.9888) Acc@1: 65.6250 (65.6250)Acc@5: 97.6562 (97.6562) +2024-12-26 15:41:10,483 - train: [ INFO] - Eval : 63 Time: 0.132 (0.311) Loss: 0.8983 (0.9673) Acc@1: 67.3077 (65.9946)Acc@5: 99.0385 (98.5215) +2024-12-26 15:41:12,958 - train: [ INFO] - Train: 64 [ 0/52 ( 0%)] Loss: 0.494491 (0.4945) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.666s, 76.81/s (1.666s, 76.81/s) LR: 1.866e-04 Data: 1.200 (1.200) +2024-12-26 15:41:32,673 - train: [ INFO] - Train: 64 [ 50/52 ( 98%)] Loss: 0.504791 (0.4996) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.20/s (0.418s, 305.91/s) LR: 1.866e-04 Data: 0.000 (0.024) +2024-12-26 15:41:33,065 - train: [ INFO] - Train: 64 [ 51/52 (100%)] Loss: 0.488602 (0.4960) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.389s, 328.90/s (0.418s, 306.32/s) LR: 1.866e-04 Data: 0.000 (0.024) +2024-12-26 15:41:34,446 - train: [ INFO] - Eval : 64 Time: 1.185 (1.185) Loss: 1.0598 (1.0598) Acc@1: 63.2812 (63.2812)Acc@5: 95.3125 (95.3125) +2024-12-26 15:41:35,146 - train: [ INFO] - Eval : 64 Time: 0.129 (0.314) Loss: 0.9535 (1.0222) Acc@1: 67.3077 (65.5914)Acc@5: 99.0385 (97.9839) +2024-12-26 15:41:37,742 - train: [ INFO] - Train: 65 [ 0/52 ( 0%)] Loss: 0.494126 (0.4941) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.741s, 73.54/s (1.741s, 73.54/s) LR: 1.779e-04 Data: 1.280 (1.280) +2024-12-26 15:41:57,559 - train: [ INFO] - Train: 65 [ 50/52 ( 98%)] Loss: 0.490286 (0.4922) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.388s, 330.08/s (0.422s, 303.29/s) LR: 1.779e-04 Data: 0.000 (0.026) +2024-12-26 15:41:57,990 - train: [ INFO] - Train: 65 [ 51/52 (100%)] Loss: 0.501684 (0.4954) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.65/s (0.421s, 303.76/s) LR: 1.779e-04 Data: 0.000 (0.026) +2024-12-26 15:41:59,613 - train: [ INFO] - Eval : 65 Time: 1.376 (1.376) Loss: 1.0873 (1.0873) Acc@1: 64.8438 (64.8438)Acc@5: 99.2188 (99.2188) +2024-12-26 15:42:00,353 - train: [ INFO] - Eval : 65 Time: 0.150 (0.353) Loss: 1.1672 (1.0458) Acc@1: 66.3462 (67.6075)Acc@5: 95.1923 (97.8495) +2024-12-26 15:42:01,214 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-65.pth.tar', 67.60752679968392) + +2024-12-26 15:42:03,031 - train: [ INFO] - Train: 66 [ 0/52 ( 0%)] Loss: 0.484748 (0.4847) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.798s, 71.18/s (1.798s, 71.18/s) LR: 1.694e-04 Data: 1.366 (1.366) +2024-12-26 15:42:22,790 - train: [ INFO] - Train: 66 [ 50/52 ( 98%)] Loss: 0.480114 (0.4824) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.394s, 324.75/s (0.422s, 303.38/s) LR: 1.694e-04 Data: 0.000 (0.028) +2024-12-26 15:42:23,181 - train: [ INFO] - Train: 66 [ 51/52 (100%)] Loss: 0.491850 (0.4856) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.389s, 329.07/s (0.421s, 303.84/s) LR: 1.694e-04 Data: 0.000 (0.027) +2024-12-26 15:42:25,577 - train: [ INFO] - Eval : 66 Time: 2.220 (2.220) Loss: 1.1002 (1.1002) Acc@1: 64.0625 (64.0625)Acc@5: 98.4375 (98.4375) +2024-12-26 15:42:26,304 - train: [ INFO] - Eval : 66 Time: 0.147 (0.491) Loss: 0.9987 (0.9671) Acc@1: 67.3077 (67.0699)Acc@5: 99.0385 (98.7903) +2024-12-26 15:42:29,238 - train: [ INFO] - Train: 67 [ 0/52 ( 0%)] Loss: 0.485047 (0.4850) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.834s, 69.81/s (1.834s, 69.81/s) LR: 1.610e-04 Data: 1.393 (1.393) +2024-12-26 15:42:48,935 - train: [ INFO] - Train: 67 [ 50/52 ( 98%)] Loss: 0.484697 (0.4849) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.75/s (0.421s, 303.71/s) LR: 1.610e-04 Data: 0.000 (0.028) +2024-12-26 15:42:49,346 - train: [ INFO] - Train: 67 [ 51/52 (100%)] Loss: 0.487390 (0.4857) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.405s, 315.81/s (0.421s, 303.93/s) LR: 1.610e-04 Data: 0.000 (0.028) +2024-12-26 15:42:50,991 - train: [ INFO] - Eval : 67 Time: 1.427 (1.427) Loss: 1.0766 (1.0766) Acc@1: 64.8438 (64.8438)Acc@5: 97.6562 (97.6562) +2024-12-26 15:42:51,735 - train: [ INFO] - Eval : 67 Time: 0.132 (0.362) Loss: 0.9916 (0.9647) Acc@1: 66.3462 (68.0108)Acc@5: 99.0385 (98.1183) +2024-12-26 15:42:52,673 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-67.pth.tar', 68.01075260613554) + +2024-12-26 15:42:55,066 - train: [ INFO] - Train: 68 [ 0/52 ( 0%)] Loss: 0.476678 (0.4767) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.380s, 53.79/s (2.380s, 53.79/s) LR: 1.527e-04 Data: 1.937 (1.937) +2024-12-26 15:43:14,931 - train: [ INFO] - Train: 68 [ 50/52 ( 98%)] Loss: 0.489161 (0.4829) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.390s, 327.87/s (0.435s, 293.94/s) LR: 1.527e-04 Data: 0.000 (0.039) +2024-12-26 15:43:15,321 - train: [ INFO] - Train: 68 [ 51/52 (100%)] Loss: 0.508340 (0.4914) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.387s, 330.49/s (0.435s, 294.57/s) LR: 1.527e-04 Data: 0.000 (0.038) +2024-12-26 15:43:17,176 - train: [ INFO] - Eval : 68 Time: 1.611 (1.611) Loss: 1.0935 (1.0935) Acc@1: 64.0625 (64.0625)Acc@5: 98.4375 (98.4375) +2024-12-26 15:43:17,890 - train: [ INFO] - Eval : 68 Time: 0.134 (0.387) Loss: 1.2008 (1.0650) Acc@1: 65.3846 (65.7258)Acc@5: 97.1154 (98.3871) +2024-12-26 15:43:20,285 - train: [ INFO] - Train: 69 [ 0/52 ( 0%)] Loss: 0.502559 (0.5026) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.593s, 80.37/s (1.593s, 80.37/s) LR: 1.447e-04 Data: 1.142 (1.142) +2024-12-26 15:43:40,174 - train: [ INFO] - Train: 69 [ 50/52 ( 98%)] Loss: 0.497913 (0.5002) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.415s, 308.39/s (0.420s, 305.08/s) LR: 1.447e-04 Data: 0.000 (0.023) +2024-12-26 15:43:40,572 - train: [ INFO] - Train: 69 [ 51/52 (100%)] Loss: 0.513181 (0.5046) Acc@1: 97.6562 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.395s, 324.28/s (0.419s, 305.43/s) LR: 1.447e-04 Data: 0.000 (0.023) +2024-12-26 15:43:41,920 - train: [ INFO] - Eval : 69 Time: 1.124 (1.124) Loss: 1.2743 (1.2743) Acc@1: 59.3750 (59.3750)Acc@5: 99.2188 (99.2188) +2024-12-26 15:43:42,615 - train: [ INFO] - Eval : 69 Time: 0.131 (0.303) Loss: 1.1934 (1.0852) Acc@1: 60.5769 (63.5753)Acc@5: 99.0385 (98.1183) +2024-12-26 15:43:44,790 - train: [ INFO] - Train: 70 [ 0/52 ( 0%)] Loss: 0.508299 (0.5083) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.382s, 92.61/s (1.382s, 92.61/s) LR: 1.368e-04 Data: 0.965 (0.965) +2024-12-26 15:44:04,565 - train: [ INFO] - Train: 70 [ 50/52 ( 98%)] Loss: 0.486564 (0.4974) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.390s, 328.06/s (0.414s, 309.34/s) LR: 1.368e-04 Data: 0.000 (0.020) +2024-12-26 15:44:04,958 - train: [ INFO] - Train: 70 [ 51/52 (100%)] Loss: 0.478660 (0.4912) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.390s, 327.90/s (0.413s, 309.68/s) LR: 1.368e-04 Data: 0.000 (0.020) +2024-12-26 15:44:06,344 - train: [ INFO] - Eval : 70 Time: 1.184 (1.184) Loss: 0.8094 (0.8094) Acc@1: 71.8750 (71.8750)Acc@5: 100.0000 (100.0000) +2024-12-26 15:44:07,088 - train: [ INFO] - Eval : 70 Time: 0.128 (0.321) Loss: 0.7991 (0.9371) Acc@1: 76.9231 (69.6237)Acc@5: 100.0000 (98.3871) +2024-12-26 15:44:07,876 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-70.pth.tar', 69.6236564061975) + +2024-12-26 15:44:09,349 - train: [ INFO] - Train: 71 [ 0/52 ( 0%)] Loss: 0.477081 (0.4771) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.454s, 88.05/s (1.454s, 88.05/s) LR: 1.290e-04 Data: 1.019 (1.019) +2024-12-26 15:44:29,095 - train: [ INFO] - Train: 71 [ 50/52 ( 98%)] Loss: 0.487119 (0.4821) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.70/s (0.415s, 308.57/s) LR: 1.290e-04 Data: 0.000 (0.021) +2024-12-26 15:44:29,513 - train: [ INFO] - Train: 71 [ 51/52 (100%)] Loss: 0.486774 (0.4837) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.22/s (0.414s, 308.81/s) LR: 1.290e-04 Data: 0.000 (0.020) +2024-12-26 15:44:30,885 - train: [ INFO] - Eval : 71 Time: 1.190 (1.190) Loss: 0.9940 (0.9940) Acc@1: 66.4062 (66.4062)Acc@5: 97.6562 (97.6562) +2024-12-26 15:44:31,620 - train: [ INFO] - Eval : 71 Time: 0.132 (0.321) Loss: 0.8857 (0.9362) Acc@1: 72.1154 (68.1452)Acc@5: 100.0000 (98.6559) +2024-12-26 15:44:33,879 - train: [ INFO] - Train: 72 [ 0/52 ( 0%)] Loss: 0.478772 (0.4788) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.428s, 89.64/s (1.428s, 89.64/s) LR: 1.215e-04 Data: 0.973 (0.973) +2024-12-26 15:44:53,580 - train: [ INFO] - Train: 72 [ 50/52 ( 98%)] Loss: 0.483334 (0.4811) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.396s, 323.23/s (0.414s, 309.45/s) LR: 1.215e-04 Data: 0.000 (0.020) +2024-12-26 15:44:53,991 - train: [ INFO] - Train: 72 [ 51/52 (100%)] Loss: 0.467094 (0.4764) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.408s, 313.60/s (0.414s, 309.53/s) LR: 1.215e-04 Data: 0.001 (0.020) +2024-12-26 15:44:55,335 - train: [ INFO] - Eval : 72 Time: 1.165 (1.165) Loss: 0.6887 (0.6887) Acc@1: 78.9062 (78.9062)Acc@5: 99.2188 (99.2188) +2024-12-26 15:44:56,078 - train: [ INFO] - Eval : 72 Time: 0.131 (0.318) Loss: 1.0770 (0.9351) Acc@1: 53.8462 (66.3978)Acc@5: 98.0769 (98.9247) +2024-12-26 15:44:58,306 - train: [ INFO] - Train: 73 [ 0/52 ( 0%)] Loss: 0.473781 (0.4738) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.397s, 91.62/s (1.397s, 91.62/s) LR: 1.141e-04 Data: 0.966 (0.966) +2024-12-26 15:45:18,078 - train: [ INFO] - Train: 73 [ 50/52 ( 98%)] Loss: 0.482725 (0.4783) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.396s, 323.10/s (0.414s, 308.88/s) LR: 1.141e-04 Data: 0.001 (0.020) +2024-12-26 15:45:18,479 - train: [ INFO] - Train: 73 [ 51/52 (100%)] Loss: 0.492856 (0.4831) Acc@1: 98.4375 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.397s, 322.06/s (0.414s, 309.12/s) LR: 1.141e-04 Data: 0.000 (0.019) +2024-12-26 15:45:19,976 - train: [ INFO] - Eval : 73 Time: 1.275 (1.275) Loss: 0.9840 (0.9840) Acc@1: 66.4062 (66.4062)Acc@5: 99.2188 (99.2188) +2024-12-26 15:45:20,726 - train: [ INFO] - Eval : 73 Time: 0.165 (0.337) Loss: 0.8814 (0.9624) Acc@1: 69.2308 (66.6667)Acc@5: 98.0769 (98.3871) +2024-12-26 15:45:23,052 - train: [ INFO] - Train: 74 [ 0/52 ( 0%)] Loss: 0.484749 (0.4847) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.493s, 85.73/s (1.493s, 85.73/s) LR: 1.070e-04 Data: 1.039 (1.039) +2024-12-26 15:45:42,804 - train: [ INFO] - Train: 74 [ 50/52 ( 98%)] Loss: 0.475174 (0.4800) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.399s, 320.80/s (0.416s, 307.75/s) LR: 1.070e-04 Data: 0.000 (0.021) +2024-12-26 15:45:43,195 - train: [ INFO] - Train: 74 [ 51/52 (100%)] Loss: 0.497330 (0.4858) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.93/s (0.415s, 308.15/s) LR: 1.070e-04 Data: 0.000 (0.021) +2024-12-26 15:45:44,742 - train: [ INFO] - Eval : 74 Time: 1.343 (1.343) Loss: 0.8916 (0.8916) Acc@1: 71.0938 (71.0938)Acc@5: 100.0000 (100.0000) +2024-12-26 15:45:45,455 - train: [ INFO] - Eval : 74 Time: 0.147 (0.343) Loss: 0.9975 (0.9903) Acc@1: 66.3462 (68.1452)Acc@5: 100.0000 (98.6559) +2024-12-26 15:45:47,850 - train: [ INFO] - Train: 75 [ 0/52 ( 0%)] Loss: 0.489117 (0.4891) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.566s, 81.71/s (1.566s, 81.71/s) LR: 1.001e-04 Data: 1.108 (1.108) +2024-12-26 15:46:07,641 - train: [ INFO] - Train: 75 [ 50/52 ( 98%)] Loss: 0.494755 (0.4919) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.32/s (0.418s, 306.34/s) LR: 1.001e-04 Data: 0.000 (0.023) +2024-12-26 15:46:08,030 - train: [ INFO] - Train: 75 [ 51/52 (100%)] Loss: 0.486128 (0.4900) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.40/s (0.417s, 306.79/s) LR: 1.001e-04 Data: 0.000 (0.022) +2024-12-26 15:46:10,143 - train: [ INFO] - Eval : 75 Time: 1.853 (1.853) Loss: 1.0008 (1.0008) Acc@1: 67.1875 (67.1875)Acc@5: 97.6562 (97.6562) +2024-12-26 15:46:10,852 - train: [ INFO] - Eval : 75 Time: 0.132 (0.427) Loss: 1.0598 (0.9561) Acc@1: 67.3077 (68.9516)Acc@5: 96.1538 (98.5215) +2024-12-26 15:46:13,370 - train: [ INFO] - Train: 76 [ 0/52 ( 0%)] Loss: 0.491766 (0.4918) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.673s, 76.49/s (1.673s, 76.49/s) LR: 9.334e-05 Data: 1.248 (1.248) +2024-12-26 15:46:33,096 - train: [ INFO] - Train: 76 [ 50/52 ( 98%)] Loss: 0.496656 (0.4942) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.87/s (0.419s, 305.55/s) LR: 9.334e-05 Data: 0.000 (0.025) +2024-12-26 15:46:33,497 - train: [ INFO] - Train: 76 [ 51/52 (100%)] Loss: 0.469411 (0.4859) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.86/s (0.419s, 305.85/s) LR: 9.334e-05 Data: 0.000 (0.025) +2024-12-26 15:46:35,081 - train: [ INFO] - Eval : 76 Time: 1.412 (1.412) Loss: 0.9497 (0.9497) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 15:46:35,813 - train: [ INFO] - Eval : 76 Time: 0.134 (0.358) Loss: 0.9206 (0.9786) Acc@1: 65.3846 (65.3226)Acc@5: 99.0385 (98.6559) +2024-12-26 15:46:39,196 - train: [ INFO] - Train: 77 [ 0/52 ( 0%)] Loss: 0.498046 (0.4980) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.969s, 65.00/s (1.969s, 65.00/s) LR: 8.684e-05 Data: 1.507 (1.507) +2024-12-26 15:46:58,862 - train: [ INFO] - Train: 77 [ 50/52 ( 98%)] Loss: 0.489741 (0.4939) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.10/s (0.424s, 302.16/s) LR: 8.684e-05 Data: 0.000 (0.030) +2024-12-26 15:46:59,292 - train: [ INFO] - Train: 77 [ 51/52 (100%)] Loss: 0.473766 (0.4872) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.45/s (0.423s, 302.69/s) LR: 8.684e-05 Data: 0.000 (0.030) +2024-12-26 15:47:00,815 - train: [ INFO] - Eval : 77 Time: 1.333 (1.333) Loss: 0.9483 (0.9483) Acc@1: 71.8750 (71.8750)Acc@5: 99.2188 (99.2188) +2024-12-26 15:47:01,534 - train: [ INFO] - Eval : 77 Time: 0.150 (0.342) Loss: 1.0912 (0.9493) Acc@1: 59.6154 (67.7419)Acc@5: 96.1538 (97.9839) +2024-12-26 15:47:04,327 - train: [ INFO] - Train: 78 [ 0/52 ( 0%)] Loss: 0.462981 (0.4630) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.961s, 65.26/s (1.961s, 65.26/s) LR: 8.057e-05 Data: 1.498 (1.498) +2024-12-26 15:47:24,108 - train: [ INFO] - Train: 78 [ 50/52 ( 98%)] Loss: 0.476687 (0.4698) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.389s, 329.46/s (0.425s, 300.94/s) LR: 8.057e-05 Data: 0.000 (0.030) +2024-12-26 15:47:24,506 - train: [ INFO] - Train: 78 [ 51/52 (100%)] Loss: 0.473232 (0.4710) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.394s, 324.65/s (0.425s, 301.37/s) LR: 8.057e-05 Data: 0.000 (0.030) +2024-12-26 15:47:26,105 - train: [ INFO] - Eval : 78 Time: 1.401 (1.401) Loss: 1.0386 (1.0386) Acc@1: 59.3750 (59.3750)Acc@5: 99.2188 (99.2188) +2024-12-26 15:47:26,879 - train: [ INFO] - Eval : 78 Time: 0.131 (0.362) Loss: 0.9583 (0.9075) Acc@1: 65.3846 (68.1452)Acc@5: 98.0769 (99.0591) +2024-12-26 15:47:29,537 - train: [ INFO] - Train: 79 [ 0/52 ( 0%)] Loss: 0.486325 (0.4863) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.773s, 72.18/s (1.773s, 72.18/s) LR: 7.453e-05 Data: 1.323 (1.323) +2024-12-26 15:47:49,271 - train: [ INFO] - Train: 79 [ 50/52 ( 98%)] Loss: 0.505084 (0.4957) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.423s, 302.79/s (0.421s, 303.99/s) LR: 7.453e-05 Data: 0.000 (0.027) +2024-12-26 15:47:49,663 - train: [ INFO] - Train: 79 [ 51/52 (100%)] Loss: 0.481696 (0.4910) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.389s, 328.70/s (0.420s, 304.43/s) LR: 7.453e-05 Data: 0.000 (0.026) +2024-12-26 15:47:51,409 - train: [ INFO] - Eval : 79 Time: 1.501 (1.501) Loss: 0.8959 (0.8959) Acc@1: 73.4375 (73.4375)Acc@5: 98.4375 (98.4375) +2024-12-26 15:47:52,098 - train: [ INFO] - Eval : 79 Time: 0.132 (0.365) Loss: 0.9925 (0.9606) Acc@1: 72.1154 (67.8763)Acc@5: 97.1154 (98.9247) +2024-12-26 15:47:55,376 - train: [ INFO] - Train: 80 [ 0/52 ( 0%)] Loss: 0.481987 (0.4820) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.444s, 52.36/s (2.444s, 52.36/s) LR: 6.873e-05 Data: 2.009 (2.009) +2024-12-26 15:48:15,099 - train: [ INFO] - Train: 80 [ 50/52 ( 98%)] Loss: 0.485004 (0.4835) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.389s, 328.71/s (0.434s, 294.93/s) LR: 6.873e-05 Data: 0.000 (0.041) +2024-12-26 15:48:15,494 - train: [ INFO] - Train: 80 [ 51/52 (100%)] Loss: 0.491662 (0.4862) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.22/s (0.433s, 295.47/s) LR: 6.873e-05 Data: 0.000 (0.040) +2024-12-26 15:48:17,090 - train: [ INFO] - Eval : 80 Time: 1.359 (1.359) Loss: 1.0993 (1.0993) Acc@1: 62.5000 (62.5000)Acc@5: 98.4375 (98.4375) +2024-12-26 15:48:17,842 - train: [ INFO] - Eval : 80 Time: 0.135 (0.352) Loss: 0.8648 (0.9298) Acc@1: 74.0385 (68.4140)Acc@5: 98.0769 (98.5215) +2024-12-26 15:48:20,638 - train: [ INFO] - Train: 81 [ 0/52 ( 0%)] Loss: 0.466163 (0.4662) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.955s, 65.47/s (1.955s, 65.47/s) LR: 6.317e-05 Data: 1.518 (1.518) +2024-12-26 15:48:40,415 - train: [ INFO] - Train: 81 [ 50/52 ( 98%)] Loss: 0.483122 (0.4746) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.416s, 307.76/s (0.425s, 301.01/s) LR: 6.317e-05 Data: 0.000 (0.031) +2024-12-26 15:48:40,829 - train: [ INFO] - Train: 81 [ 51/52 (100%)] Loss: 0.462326 (0.4705) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.411s, 311.43/s (0.425s, 301.20/s) LR: 6.317e-05 Data: 0.000 (0.030) +2024-12-26 15:48:42,229 - train: [ INFO] - Eval : 81 Time: 1.175 (1.175) Loss: 0.9059 (0.9059) Acc@1: 67.1875 (67.1875)Acc@5: 96.0938 (96.0938) +2024-12-26 15:48:42,929 - train: [ INFO] - Eval : 81 Time: 0.131 (0.313) Loss: 0.9556 (0.9674) Acc@1: 70.1923 (66.5323)Acc@5: 99.0385 (98.5215) +2024-12-26 15:48:46,007 - train: [ INFO] - Train: 82 [ 0/52 ( 0%)] Loss: 0.465598 (0.4656) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.287s, 55.96/s (2.287s, 55.96/s) LR: 5.787e-05 Data: 1.862 (1.862) +2024-12-26 15:49:05,738 - train: [ INFO] - Train: 82 [ 50/52 ( 98%)] Loss: 0.466347 (0.4660) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.398s, 321.32/s (0.431s, 296.93/s) LR: 5.787e-05 Data: 0.000 (0.038) +2024-12-26 15:49:06,138 - train: [ INFO] - Train: 82 [ 51/52 (100%)] Loss: 0.482498 (0.4715) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.397s, 322.34/s (0.430s, 297.38/s) LR: 5.787e-05 Data: 0.000 (0.037) +2024-12-26 15:49:07,527 - train: [ INFO] - Eval : 82 Time: 1.188 (1.188) Loss: 0.8040 (0.8040) Acc@1: 71.8750 (71.8750)Acc@5: 100.0000 (100.0000) +2024-12-26 15:49:08,247 - train: [ INFO] - Eval : 82 Time: 0.138 (0.318) Loss: 0.8833 (0.9008) Acc@1: 69.2308 (70.0269)Acc@5: 98.0769 (98.9247) +2024-12-26 15:49:09,080 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-82.pth.tar', 70.02688237672211) + +2024-12-26 15:49:10,459 - train: [ INFO] - Train: 83 [ 0/52 ( 0%)] Loss: 0.471206 (0.4712) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.368s, 93.58/s (1.368s, 93.58/s) LR: 5.282e-05 Data: 0.960 (0.960) +2024-12-26 15:49:30,293 - train: [ INFO] - Train: 83 [ 50/52 ( 98%)] Loss: 0.474244 (0.4727) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.56/s (0.415s, 308.38/s) LR: 5.282e-05 Data: 0.000 (0.020) +2024-12-26 15:49:30,689 - train: [ INFO] - Train: 83 [ 51/52 (100%)] Loss: 0.463280 (0.4696) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.393s, 326.02/s (0.415s, 308.70/s) LR: 5.282e-05 Data: 0.000 (0.020) +2024-12-26 15:49:32,123 - train: [ INFO] - Eval : 83 Time: 1.201 (1.201) Loss: 0.8616 (0.8616) Acc@1: 67.1875 (67.1875)Acc@5: 100.0000 (100.0000) +2024-12-26 15:49:32,876 - train: [ INFO] - Eval : 83 Time: 0.140 (0.326) Loss: 0.9608 (0.9675) Acc@1: 68.2692 (67.2043)Acc@5: 100.0000 (98.2527) +2024-12-26 15:49:35,132 - train: [ INFO] - Train: 84 [ 0/52 ( 0%)] Loss: 0.484473 (0.4845) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.446s, 88.54/s (1.446s, 88.54/s) LR: 4.804e-05 Data: 0.955 (0.955) +2024-12-26 15:49:54,951 - train: [ INFO] - Train: 84 [ 50/52 ( 98%)] Loss: 0.471283 (0.4779) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.400s, 319.82/s (0.416s, 307.47/s) LR: 4.804e-05 Data: 0.000 (0.020) +2024-12-26 15:49:55,357 - train: [ INFO] - Train: 84 [ 51/52 (100%)] Loss: 0.476858 (0.4775) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.404s, 316.76/s (0.416s, 307.64/s) LR: 4.804e-05 Data: 0.000 (0.019) +2024-12-26 15:49:56,847 - train: [ INFO] - Eval : 84 Time: 1.270 (1.270) Loss: 1.0194 (1.0194) Acc@1: 63.2812 (63.2812)Acc@5: 99.2188 (99.2188) +2024-12-26 15:49:57,564 - train: [ INFO] - Eval : 84 Time: 0.129 (0.331) Loss: 0.7867 (0.9454) Acc@1: 71.1538 (68.2796)Acc@5: 99.0385 (99.0591) +2024-12-26 15:49:59,921 - train: [ INFO] - Train: 85 [ 0/52 ( 0%)] Loss: 0.468370 (0.4684) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.462s, 87.56/s (1.462s, 87.56/s) LR: 4.352e-05 Data: 0.989 (0.989) +2024-12-26 15:50:19,794 - train: [ INFO] - Train: 85 [ 50/52 ( 98%)] Loss: 0.482962 (0.4757) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.401s, 318.96/s (0.418s, 306.54/s) LR: 4.352e-05 Data: 0.000 (0.020) +2024-12-26 15:50:20,185 - train: [ INFO] - Train: 85 [ 51/52 (100%)] Loss: 0.471704 (0.4743) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.83/s (0.417s, 306.96/s) LR: 4.352e-05 Data: 0.000 (0.020) +2024-12-26 15:50:21,624 - train: [ INFO] - Eval : 85 Time: 1.246 (1.246) Loss: 0.9068 (0.9068) Acc@1: 69.5312 (69.5312)Acc@5: 98.4375 (98.4375) +2024-12-26 15:50:22,355 - train: [ INFO] - Eval : 85 Time: 0.161 (0.330) Loss: 0.7886 (0.9144) Acc@1: 77.8846 (69.7581)Acc@5: 99.0385 (97.9839) +2024-12-26 15:50:24,544 - train: [ INFO] - Train: 86 [ 0/52 ( 0%)] Loss: 0.475809 (0.4758) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.341s, 95.48/s (1.341s, 95.48/s) LR: 3.927e-05 Data: 0.898 (0.898) +2024-12-26 15:50:44,330 - train: [ INFO] - Train: 86 [ 50/52 ( 98%)] Loss: 0.474004 (0.4749) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.400s, 319.75/s (0.414s, 309.51/s) LR: 3.927e-05 Data: 0.000 (0.019) +2024-12-26 15:50:44,741 - train: [ INFO] - Train: 86 [ 51/52 (100%)] Loss: 0.478522 (0.4761) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.408s, 313.57/s (0.413s, 309.59/s) LR: 3.927e-05 Data: 0.000 (0.018) +2024-12-26 15:50:46,245 - train: [ INFO] - Eval : 86 Time: 1.291 (1.291) Loss: 1.0374 (1.0374) Acc@1: 58.5938 (58.5938)Acc@5: 98.4375 (98.4375) +2024-12-26 15:50:46,937 - train: [ INFO] - Eval : 86 Time: 0.131 (0.330) Loss: 0.8807 (0.9391) Acc@1: 67.3077 (66.8011)Acc@5: 99.0385 (98.5215) +2024-12-26 15:50:49,252 - train: [ INFO] - Train: 87 [ 0/52 ( 0%)] Loss: 0.482764 (0.4828) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.474s, 86.86/s (1.474s, 86.86/s) LR: 3.529e-05 Data: 1.033 (1.033) +2024-12-26 15:51:09,163 - train: [ INFO] - Train: 87 [ 50/52 ( 98%)] Loss: 0.465979 (0.4744) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.387s, 330.71/s (0.418s, 306.27/s) LR: 3.529e-05 Data: 0.000 (0.021) +2024-12-26 15:51:09,599 - train: [ INFO] - Train: 87 [ 51/52 (100%)] Loss: 0.477225 (0.4753) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.395s, 324.44/s (0.417s, 306.60/s) LR: 3.529e-05 Data: 0.000 (0.021) +2024-12-26 15:51:11,283 - train: [ INFO] - Eval : 87 Time: 1.463 (1.463) Loss: 0.9149 (0.9149) Acc@1: 67.9688 (67.9688)Acc@5: 98.4375 (98.4375) +2024-12-26 15:51:11,974 - train: [ INFO] - Eval : 87 Time: 0.134 (0.359) Loss: 0.9573 (0.9298) Acc@1: 63.4615 (68.2796)Acc@5: 98.0769 (98.2527) +2024-12-26 15:51:14,515 - train: [ INFO] - Train: 88 [ 0/52 ( 0%)] Loss: 0.479426 (0.4794) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.542s, 83.03/s (1.542s, 83.03/s) LR: 3.159e-05 Data: 1.095 (1.095) +2024-12-26 15:51:34,273 - train: [ INFO] - Train: 88 [ 50/52 ( 98%)] Loss: 0.479721 (0.4796) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.09/s (0.417s, 307.28/s) LR: 3.159e-05 Data: 0.000 (0.023) +2024-12-26 15:51:34,665 - train: [ INFO] - Train: 88 [ 51/52 (100%)] Loss: 0.461533 (0.4736) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.387s, 330.41/s (0.416s, 307.70/s) LR: 3.159e-05 Data: 0.000 (0.022) +2024-12-26 15:51:36,450 - train: [ INFO] - Eval : 88 Time: 1.527 (1.527) Loss: 1.0253 (1.0253) Acc@1: 68.7500 (68.7500)Acc@5: 99.2188 (99.2188) +2024-12-26 15:51:37,210 - train: [ INFO] - Eval : 88 Time: 0.143 (0.381) Loss: 1.0260 (0.9199) Acc@1: 68.2692 (68.2796)Acc@5: 99.0385 (98.6559) +2024-12-26 15:51:39,829 - train: [ INFO] - Train: 89 [ 0/52 ( 0%)] Loss: 0.481020 (0.4810) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.733s, 73.88/s (1.733s, 73.88/s) LR: 2.818e-05 Data: 1.298 (1.298) +2024-12-26 15:51:59,610 - train: [ INFO] - Train: 89 [ 50/52 ( 98%)] Loss: 0.466010 (0.4735) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.388s, 329.68/s (0.421s, 304.38/s) LR: 2.818e-05 Data: 0.000 (0.026) +2024-12-26 15:52:00,014 - train: [ INFO] - Train: 89 [ 51/52 (100%)] Loss: 0.470635 (0.4726) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.401s, 319.20/s (0.420s, 304.65/s) LR: 2.818e-05 Data: 0.000 (0.026) +2024-12-26 15:52:01,707 - train: [ INFO] - Eval : 89 Time: 1.475 (1.475) Loss: 0.8482 (0.8482) Acc@1: 70.3125 (70.3125)Acc@5: 100.0000 (100.0000) +2024-12-26 15:52:02,404 - train: [ INFO] - Eval : 89 Time: 0.130 (0.362) Loss: 0.9308 (0.9264) Acc@1: 68.2692 (69.2204)Acc@5: 100.0000 (98.7903) +2024-12-26 15:52:05,855 - train: [ INFO] - Train: 90 [ 0/52 ( 0%)] Loss: 0.465495 (0.4655) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.586s, 49.50/s (2.586s, 49.50/s) LR: 2.505e-05 Data: 2.153 (2.153) +2024-12-26 15:52:25,559 - train: [ INFO] - Train: 90 [ 50/52 ( 98%)] Loss: 0.477748 (0.4716) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.385s, 332.09/s (0.436s, 293.43/s) LR: 2.505e-05 Data: 0.000 (0.043) +2024-12-26 15:52:25,958 - train: [ INFO] - Train: 90 [ 51/52 (100%)] Loss: 0.480933 (0.4747) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.397s, 322.70/s (0.435s, 293.94/s) LR: 2.505e-05 Data: 0.000 (0.042) +2024-12-26 15:52:28,313 - train: [ INFO] - Eval : 90 Time: 2.163 (2.163) Loss: 0.8477 (0.8477) Acc@1: 69.5312 (69.5312)Acc@5: 100.0000 (100.0000) +2024-12-26 15:52:29,018 - train: [ INFO] - Eval : 90 Time: 0.127 (0.478) Loss: 0.8344 (0.9239) Acc@1: 69.2308 (69.0860)Acc@5: 98.0769 (98.5215) +2024-12-26 15:52:31,632 - train: [ INFO] - Train: 91 [ 0/52 ( 0%)] Loss: 0.487956 (0.4880) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.753s, 73.02/s (1.753s, 73.02/s) LR: 2.221e-05 Data: 1.299 (1.299) +2024-12-26 15:52:51,396 - train: [ INFO] - Train: 91 [ 50/52 ( 98%)] Loss: 0.467386 (0.4777) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.69/s (0.421s, 303.94/s) LR: 2.221e-05 Data: 0.000 (0.026) +2024-12-26 15:52:51,787 - train: [ INFO] - Train: 91 [ 51/52 (100%)] Loss: 0.461379 (0.4722) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.386s, 331.24/s (0.420s, 304.42/s) LR: 2.221e-05 Data: 0.000 (0.026) +2024-12-26 15:52:53,379 - train: [ INFO] - Eval : 91 Time: 1.406 (1.406) Loss: 1.1738 (1.1738) Acc@1: 53.1250 (53.1250)Acc@5: 99.2188 (99.2188) +2024-12-26 15:52:54,153 - train: [ INFO] - Eval : 91 Time: 0.129 (0.363) Loss: 0.7890 (0.9651) Acc@1: 72.1154 (66.3978)Acc@5: 98.0769 (98.6559) +2024-12-26 15:52:57,950 - train: [ INFO] - Train: 92 [ 0/52 ( 0%)] Loss: 0.472707 (0.4727) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.026s, 63.18/s (2.026s, 63.18/s) LR: 1.966e-05 Data: 1.601 (1.601) +2024-12-26 15:53:17,648 - train: [ INFO] - Train: 92 [ 50/52 ( 98%)] Loss: 0.472017 (0.4724) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.71/s (0.425s, 300.96/s) LR: 1.966e-05 Data: 0.000 (0.032) +2024-12-26 15:53:18,038 - train: [ INFO] - Train: 92 [ 51/52 (100%)] Loss: 0.479053 (0.4746) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.387s, 330.57/s (0.425s, 301.48/s) LR: 1.966e-05 Data: 0.000 (0.032) +2024-12-26 15:53:19,541 - train: [ INFO] - Eval : 92 Time: 1.333 (1.333) Loss: 0.8699 (0.8699) Acc@1: 67.1875 (67.1875)Acc@5: 99.2188 (99.2188) +2024-12-26 15:53:20,226 - train: [ INFO] - Eval : 92 Time: 0.131 (0.337) Loss: 1.0127 (0.9193) Acc@1: 64.4231 (68.8172)Acc@5: 99.0385 (98.7903) +2024-12-26 15:53:22,600 - train: [ INFO] - Train: 93 [ 0/52 ( 0%)] Loss: 0.499396 (0.4994) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.553s, 82.40/s (1.553s, 82.40/s) LR: 1.741e-05 Data: 1.107 (1.107) +2024-12-26 15:53:42,369 - train: [ INFO] - Train: 93 [ 50/52 ( 98%)] Loss: 0.468227 (0.4838) Acc@1: 100.0000 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.392s, 326.31/s (0.417s, 306.78/s) LR: 1.741e-05 Data: 0.000 (0.023) +2024-12-26 15:53:42,762 - train: [ INFO] - Train: 93 [ 51/52 (100%)] Loss: 0.459865 (0.4758) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.71/s (0.417s, 307.16/s) LR: 1.741e-05 Data: 0.000 (0.022) +2024-12-26 15:53:44,139 - train: [ INFO] - Eval : 93 Time: 1.163 (1.163) Loss: 0.8551 (0.8551) Acc@1: 69.5312 (69.5312)Acc@5: 97.6562 (97.6562) +2024-12-26 15:53:44,835 - train: [ INFO] - Eval : 93 Time: 0.132 (0.310) Loss: 0.9680 (0.9266) Acc@1: 64.4231 (67.7419)Acc@5: 99.0385 (98.3871) +2024-12-26 15:53:47,752 - train: [ INFO] - Train: 94 [ 0/52 ( 0%)] Loss: 0.477269 (0.4773) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.668s, 76.72/s (1.668s, 76.72/s) LR: 1.545e-05 Data: 1.248 (1.248) +2024-12-26 15:54:07,446 - train: [ INFO] - Train: 94 [ 50/52 ( 98%)] Loss: 0.471071 (0.4742) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.93/s (0.418s, 306.42/s) LR: 1.545e-05 Data: 0.000 (0.026) +2024-12-26 15:54:07,846 - train: [ INFO] - Train: 94 [ 51/52 (100%)] Loss: 0.463773 (0.4707) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.396s, 323.16/s (0.417s, 306.72/s) LR: 1.545e-05 Data: 0.000 (0.025) +2024-12-26 15:54:09,374 - train: [ INFO] - Eval : 94 Time: 1.300 (1.300) Loss: 0.8974 (0.8974) Acc@1: 68.7500 (68.7500)Acc@5: 99.2188 (99.2188) +2024-12-26 15:54:10,095 - train: [ INFO] - Eval : 94 Time: 0.135 (0.337) Loss: 0.8357 (0.8876) Acc@1: 71.1538 (69.8925)Acc@5: 100.0000 (98.7903) +2024-12-26 15:54:12,377 - train: [ INFO] - Train: 95 [ 0/52 ( 0%)] Loss: 0.475110 (0.4751) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.474s, 86.85/s (1.474s, 86.85/s) LR: 1.379e-05 Data: 1.018 (1.018) +2024-12-26 15:54:32,223 - train: [ INFO] - Train: 95 [ 50/52 ( 98%)] Loss: 0.479459 (0.4773) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.52/s (0.417s, 306.72/s) LR: 1.379e-05 Data: 0.000 (0.021) +2024-12-26 15:54:32,615 - train: [ INFO] - Train: 95 [ 51/52 (100%)] Loss: 0.471959 (0.4755) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.389s, 328.67/s (0.417s, 307.12/s) LR: 1.379e-05 Data: 0.000 (0.021) +2024-12-26 15:54:34,200 - train: [ INFO] - Eval : 95 Time: 1.332 (1.332) Loss: 0.8924 (0.8924) Acc@1: 66.4062 (66.4062)Acc@5: 99.2188 (99.2188) +2024-12-26 15:54:34,868 - train: [ INFO] - Eval : 95 Time: 0.128 (0.333) Loss: 0.8723 (0.9189) Acc@1: 73.0769 (68.4140)Acc@5: 97.1154 (98.3871) +2024-12-26 15:54:37,183 - train: [ INFO] - Train: 96 [ 0/52 ( 0%)] Loss: 0.484122 (0.4841) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.441s, 88.84/s (1.441s, 88.84/s) LR: 1.242e-05 Data: 1.004 (1.004) +2024-12-26 15:54:56,983 - train: [ INFO] - Train: 96 [ 50/52 ( 98%)] Loss: 0.458171 (0.4711) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.32/s (0.416s, 307.83/s) LR: 1.242e-05 Data: 0.000 (0.021) +2024-12-26 15:54:57,394 - train: [ INFO] - Train: 96 [ 51/52 (100%)] Loss: 0.463292 (0.4685) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.408s, 313.96/s (0.416s, 307.95/s) LR: 1.242e-05 Data: 0.000 (0.020) +2024-12-26 15:54:58,749 - train: [ INFO] - Eval : 96 Time: 1.148 (1.148) Loss: 0.8855 (0.8855) Acc@1: 69.5312 (69.5312)Acc@5: 99.2188 (99.2188) +2024-12-26 15:54:59,467 - train: [ INFO] - Eval : 96 Time: 0.139 (0.311) Loss: 0.9229 (0.9136) Acc@1: 67.3077 (68.6828)Acc@5: 97.1154 (98.7903) +2024-12-26 15:55:01,926 - train: [ INFO] - Train: 97 [ 0/52 ( 0%)] Loss: 0.468441 (0.4684) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.611s, 79.47/s (1.611s, 79.47/s) LR: 1.136e-05 Data: 1.168 (1.168) +2024-12-26 15:55:21,779 - train: [ INFO] - Train: 97 [ 50/52 ( 98%)] Loss: 0.470473 (0.4695) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.393s, 325.84/s (0.420s, 304.73/s) LR: 1.136e-05 Data: 0.000 (0.024) +2024-12-26 15:55:22,173 - train: [ INFO] - Train: 97 [ 51/52 (100%)] Loss: 0.484243 (0.4744) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.66/s (0.419s, 305.14/s) LR: 1.136e-05 Data: 0.000 (0.023) +2024-12-26 15:55:23,545 - train: [ INFO] - Eval : 97 Time: 1.152 (1.152) Loss: 1.0366 (1.0366) Acc@1: 66.4062 (66.4062)Acc@5: 98.4375 (98.4375) +2024-12-26 15:55:24,269 - train: [ INFO] - Eval : 97 Time: 0.141 (0.313) Loss: 0.8832 (0.9170) Acc@1: 72.1154 (70.1613)Acc@5: 99.0385 (98.7903) +2024-12-26 15:55:25,150 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-97.pth.tar', 70.16129065072664) + +2024-12-26 15:55:26,581 - train: [ INFO] - Train: 98 [ 0/52 ( 0%)] Loss: 0.482222 (0.4822) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.417s, 90.31/s (1.417s, 90.31/s) LR: 1.061e-05 Data: 0.972 (0.972) +2024-12-26 15:55:46,338 - train: [ INFO] - Train: 98 [ 50/52 ( 98%)] Loss: 0.462892 (0.4726) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.406s, 315.27/s (0.415s, 308.77/s) LR: 1.061e-05 Data: 0.000 (0.020) +2024-12-26 15:55:46,736 - train: [ INFO] - Train: 98 [ 51/52 (100%)] Loss: 0.462542 (0.4692) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.395s, 323.90/s (0.414s, 309.05/s) LR: 1.061e-05 Data: 0.000 (0.019) +2024-12-26 15:55:48,126 - train: [ INFO] - Eval : 98 Time: 1.177 (1.177) Loss: 0.8843 (0.8843) Acc@1: 74.2188 (74.2188)Acc@5: 99.2188 (99.2188) +2024-12-26 15:55:48,822 - train: [ INFO] - Eval : 98 Time: 0.130 (0.312) Loss: 0.8158 (0.8915) Acc@1: 72.1154 (70.8333)Acc@5: 99.0385 (99.1935) +2024-12-26 15:55:49,663 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-98.pth.tar', 70.83333366147933) + +2024-12-26 15:55:51,118 - train: [ INFO] - Train: 99 [ 0/52 ( 0%)] Loss: 0.471716 (0.4717) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.440s, 88.87/s (1.440s, 88.87/s) LR: 1.015e-05 Data: 0.961 (0.961) +2024-12-26 15:56:10,846 - train: [ INFO] - Train: 99 [ 50/52 ( 98%)] Loss: 0.461288 (0.4665) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.389s, 328.81/s (0.414s, 309.08/s) LR: 1.015e-05 Data: 0.000 (0.020) +2024-12-26 15:56:11,245 - train: [ INFO] - Train: 99 [ 51/52 (100%)] Loss: 0.474963 (0.4693) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.394s, 325.26/s (0.414s, 309.38/s) LR: 1.015e-05 Data: 0.000 (0.019) +2024-12-26 15:56:12,771 - train: [ INFO] - Eval : 99 Time: 1.263 (1.263) Loss: 0.9135 (0.9135) Acc@1: 71.8750 (71.8750)Acc@5: 97.6562 (97.6562) +2024-12-26 15:56:13,448 - train: [ INFO] - Eval : 99 Time: 0.130 (0.323) Loss: 0.9363 (0.9069) Acc@1: 65.3846 (69.7581)Acc@5: 98.0769 (98.9247) +2024-12-26 15:56:14,279 - train: [ INFO] - *** Best metric: 70.83333366147933 (epoch 98) + diff --git a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_Temporal-cross-attn_True-alpha_1.5-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar 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b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/args.yaml new file mode 100644 index 0000000000000000000000000000000000000000..df1f1184789dd93b2302094312f0ce7cf3da55bb --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/args.yaml @@ -0,0 +1,156 @@ +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptation_info: false +adaptive_node: false +alpha: 1.0 +amp: false +apex_amp: false +attn_method: WeightAttention +aug_splits: 0 +batch_size: 128 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +contrastive: false +conv_type: normal +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cross_attn: true +cut_mix: false +cutmix: 0.0 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a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/log.txt b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..be85d4d4ff3182a40679bcea9f2b9ad0e0d38c7d --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/log.txt @@ -0,0 +1,544 @@ +2024-12-26 14:22:03,699 - train: [ INFO] - Training with a single process on 1 GPUs. +2024-12-26 14:22:05,468 - train: [ INFO] - learning rate is 0.000625 +2024-12-26 14:22:08,077 - train: [ INFO] - AMP not enabled. Training in float32. +2024-12-26 14:22:08,080 - train: [ INFO] - Scheduled epochs: 110 +2024-12-26 14:22:22,524 - train: [ INFO] - Train: 0 [ 0/52 ( 0%)] Loss: 1.791542 (1.7915) Acc@1: 17.1875 (17.1875) Acc@5: 86.7188 (86.7188) Time: 14.401s, 8.89/s (14.401s, 8.89/s) LR: 1.000e-06 Data: 11.639 (11.639) +2024-12-26 14:22:53,944 - train: [ INFO] - Train: 0 [ 50/52 ( 98%)] Loss: 1.788198 (1.7899) Acc@1: 22.6562 (19.9219) Acc@5: 89.8438 (88.2812) Time: 0.383s, 334.04/s (0.897s, 142.62/s) LR: 1.000e-06 Data: 0.000 (0.493) +2024-12-26 14:22:54,324 - train: [ INFO] - Train: 0 [ 51/52 (100%)] Loss: 1.791406 (1.7904) Acc@1: 17.9688 (19.2708) Acc@5: 88.2812 (88.2812) Time: 0.377s, 339.19/s (0.887s, 144.23/s) LR: 1.000e-06 Data: 0.000 (0.483) +2024-12-26 14:22:59,451 - train: [ INFO] - Eval : 0 Time: 5.028 (5.028) Loss: 1.7917 (1.7917) Acc@1: 21.8750 (21.8750)Acc@5: 80.4688 (80.4688) +2024-12-26 14:23:00,160 - train: [ INFO] - Eval : 0 Time: 0.153 (0.956) Loss: 1.7916 (1.7917) Acc@1: 17.3077 (17.7419)Acc@5: 85.5769 (84.0054) +2024-12-26 14:23:02,641 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-0.pth.tar', 17.74193564794397) + +2024-12-26 14:23:07,044 - train: [ INFO] - Train: 1 [ 0/52 ( 0%)] Loss: 1.787975 (1.7880) Acc@1: 21.8750 (21.8750) Acc@5: 89.8438 (89.8438) Time: 4.287s, 29.86/s (4.287s, 29.86/s) LR: 1.258e-04 Data: 3.886 (3.886) +2024-12-26 14:23:24,793 - train: [ INFO] - Train: 1 [ 50/52 ( 98%)] Loss: 1.532056 (1.6600) Acc@1: 36.7188 (29.2969) Acc@5: 97.6562 (93.7500) Time: 0.355s, 360.13/s (0.431s, 296.86/s) LR: 1.258e-04 Data: 0.000 (0.077) +2024-12-26 14:23:25,153 - train: [ INFO] - Train: 1 [ 51/52 (100%)] Loss: 1.521660 (1.6139) Acc@1: 39.8438 (32.8125) Acc@5: 98.4375 (95.3125) Time: 0.356s, 359.43/s (0.430s, 297.85/s) LR: 1.258e-04 Data: 0.000 (0.076) +2024-12-26 14:23:26,566 - train: [ INFO] - Eval : 1 Time: 1.246 (1.246) Loss: 1.5996 (1.5996) Acc@1: 28.1250 (28.1250)Acc@5: 97.6562 (97.6562) +2024-12-26 14:23:27,292 - train: [ INFO] - Eval : 1 Time: 0.122 (0.330) Loss: 1.5384 (1.5960) Acc@1: 32.6923 (30.2419)Acc@5: 97.1154 (96.6398) +2024-12-26 14:23:28,001 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-1.pth.tar', 30.24193585303522) + +2024-12-26 14:23:29,486 - train: [ INFO] - Train: 2 [ 0/52 ( 0%)] Loss: 1.460482 (1.4605) Acc@1: 49.2188 (49.2188) Acc@5: 97.6562 (97.6562) Time: 1.471s, 87.01/s (1.471s, 87.01/s) LR: 2.506e-04 Data: 1.061 (1.061) +2024-12-26 14:23:47,266 - train: [ INFO] - Train: 2 [ 50/52 ( 98%)] Loss: 1.402704 (1.4316) Acc@1: 42.9688 (46.0938) Acc@5: 99.2188 (98.4375) Time: 0.346s, 369.72/s (0.376s, 340.00/s) LR: 2.506e-04 Data: 0.000 (0.022) +2024-12-26 14:23:47,620 - train: [ INFO] - Train: 2 [ 51/52 (100%)] Loss: 1.489802 (1.4510) Acc@1: 44.5312 (45.5729) Acc@5: 100.0000 (98.9583) Time: 0.351s, 364.54/s (0.376s, 340.44/s) LR: 2.506e-04 Data: 0.000 (0.021) +2024-12-26 14:23:49,030 - train: [ INFO] - Eval : 2 Time: 1.215 (1.215) Loss: 1.4750 (1.4750) Acc@1: 37.5000 (37.5000)Acc@5: 97.6562 (97.6562) +2024-12-26 14:23:49,729 - train: [ INFO] - Eval : 2 Time: 0.126 (0.319) Loss: 1.4126 (1.4608) Acc@1: 42.3077 (37.2312)Acc@5: 99.0385 (98.6559) +2024-12-26 14:23:50,479 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-2.pth.tar', 37.23118295977193) + +2024-12-26 14:23:52,047 - train: [ INFO] - Train: 3 [ 0/52 ( 0%)] Loss: 1.469836 (1.4698) Acc@1: 42.9688 (42.9688) Acc@5: 96.8750 (96.8750) Time: 1.554s, 82.39/s (1.554s, 82.39/s) LR: 3.754e-04 Data: 1.147 (1.147) +2024-12-26 14:24:09,936 - train: [ INFO] - Train: 3 [ 50/52 ( 98%)] Loss: 1.398172 (1.4340) Acc@1: 50.7812 (46.8750) Acc@5: 97.6562 (97.2656) Time: 0.367s, 348.75/s (0.380s, 337.01/s) LR: 3.754e-04 Data: 0.000 (0.024) +2024-12-26 14:24:10,285 - train: [ INFO] - Train: 3 [ 51/52 (100%)] Loss: 1.424857 (1.4310) Acc@1: 46.8750 (46.8750) Acc@5: 98.4375 (97.6562) Time: 0.347s, 368.91/s (0.379s, 337.57/s) LR: 3.754e-04 Data: 0.000 (0.023) +2024-12-26 14:24:11,763 - train: [ INFO] - Eval : 3 Time: 1.334 (1.334) Loss: 1.5085 (1.5085) Acc@1: 38.2812 (38.2812)Acc@5: 97.6562 (97.6562) +2024-12-26 14:24:12,455 - train: [ INFO] - Eval : 3 Time: 0.144 (0.338) Loss: 1.6237 (1.5270) Acc@1: 41.3462 (41.6667)Acc@5: 96.1538 (97.1774) +2024-12-26 14:24:13,213 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-3.pth.tar', 41.66666711786742) + +2024-12-26 14:24:14,755 - train: [ INFO] - Train: 4 [ 0/52 ( 0%)] Loss: 1.376174 (1.3762) Acc@1: 53.1250 (53.1250) Acc@5: 97.6562 (97.6562) Time: 1.526s, 83.87/s (1.526s, 83.87/s) LR: 5.002e-04 Data: 1.109 (1.109) +2024-12-26 14:24:32,638 - train: [ INFO] - Train: 4 [ 50/52 ( 98%)] Loss: 1.354554 (1.3654) Acc@1: 50.0000 (51.5625) Acc@5: 100.0000 (98.8281) Time: 0.355s, 361.00/s (0.379s, 338.06/s) LR: 5.002e-04 Data: 0.000 (0.023) +2024-12-26 14:24:33,074 - train: [ INFO] - Train: 4 [ 51/52 (100%)] Loss: 1.385472 (1.3721) Acc@1: 46.8750 (50.0000) Acc@5: 98.4375 (98.6979) Time: 0.355s, 360.93/s (0.378s, 338.47/s) LR: 5.002e-04 Data: 0.000 (0.022) +2024-12-26 14:24:35,165 - train: [ INFO] - Eval : 4 Time: 1.853 (1.853) Loss: 1.6151 (1.6151) Acc@1: 35.1562 (35.1562)Acc@5: 97.6562 (97.6562) +2024-12-26 14:24:35,870 - train: [ INFO] - Eval : 4 Time: 0.122 (0.426) Loss: 1.5626 (1.5443) Acc@1: 35.5769 (37.5000)Acc@5: 98.0769 (97.4462) +2024-12-26 14:24:38,306 - train: [ INFO] - Train: 5 [ 0/52 ( 0%)] Loss: 1.304297 (1.3043) Acc@1: 56.2500 (56.2500) Acc@5: 97.6562 (97.6562) Time: 1.668s, 76.72/s (1.668s, 76.72/s) LR: 6.212e-04 Data: 1.251 (1.251) +2024-12-26 14:24:56,148 - train: [ INFO] - Train: 5 [ 50/52 ( 98%)] Loss: 1.397894 (1.3511) Acc@1: 49.2188 (52.7344) Acc@5: 99.2188 (98.4375) Time: 0.377s, 339.40/s (0.382s, 335.34/s) LR: 6.212e-04 Data: 0.001 (0.026) +2024-12-26 14:24:56,523 - train: [ INFO] - Train: 5 [ 51/52 (100%)] Loss: 1.395397 (1.3659) Acc@1: 48.4375 (51.3021) Acc@5: 98.4375 (98.4375) Time: 0.373s, 343.38/s (0.382s, 335.49/s) LR: 6.212e-04 Data: 0.000 (0.025) +2024-12-26 14:24:58,001 - train: [ INFO] - Eval : 5 Time: 1.332 (1.332) Loss: 1.7256 (1.7256) Acc@1: 39.0625 (39.0625)Acc@5: 94.5312 (94.5312) +2024-12-26 14:24:58,706 - train: [ INFO] - Eval : 5 Time: 0.123 (0.340) Loss: 1.5724 (1.5408) Acc@1: 44.2308 (41.6667)Acc@5: 96.1538 (96.3710) +2024-12-26 14:25:02,736 - train: [ INFO] - Train: 6 [ 0/52 ( 0%)] Loss: 1.357044 (1.3570) Acc@1: 53.1250 (53.1250) Acc@5: 98.4375 (98.4375) Time: 2.228s, 57.45/s (2.228s, 57.45/s) LR: 6.196e-04 Data: 1.809 (1.809) +2024-12-26 14:25:20,632 - train: [ INFO] - Train: 6 [ 50/52 ( 98%)] Loss: 1.162206 (1.2596) Acc@1: 60.1562 (56.6406) Acc@5: 98.4375 (98.4375) Time: 0.358s, 357.74/s (0.394s, 324.95/s) LR: 6.196e-04 Data: 0.000 (0.037) +2024-12-26 14:25:20,986 - train: [ INFO] - Train: 6 [ 51/52 (100%)] Loss: 1.403172 (1.3075) Acc@1: 50.0000 (54.4271) Acc@5: 97.6562 (98.1771) Time: 0.352s, 363.96/s (0.393s, 325.62/s) LR: 6.196e-04 Data: 0.000 (0.036) +2024-12-26 14:25:22,309 - train: [ INFO] - Eval : 6 Time: 1.180 (1.180) Loss: 1.3635 (1.3635) Acc@1: 44.5312 (44.5312)Acc@5: 95.3125 (95.3125) +2024-12-26 14:25:22,985 - train: [ INFO] - Eval : 6 Time: 0.123 (0.309) Loss: 1.5610 (1.3754) Acc@1: 38.4615 (47.8495)Acc@5: 96.1538 (94.6237) +2024-12-26 14:25:23,721 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-6.pth.tar', 47.8494626117009) + +2024-12-26 14:25:25,285 - train: [ INFO] - Train: 7 [ 0/52 ( 0%)] Loss: 1.288934 (1.2889) Acc@1: 57.8125 (57.8125) Acc@5: 98.4375 (98.4375) Time: 1.552s, 82.46/s (1.552s, 82.46/s) LR: 6.176e-04 Data: 1.149 (1.149) +2024-12-26 14:25:43,210 - train: [ INFO] - Train: 7 [ 50/52 ( 98%)] Loss: 1.336944 (1.3129) Acc@1: 56.2500 (57.0312) Acc@5: 97.6562 (98.0469) Time: 0.345s, 370.55/s (0.381s, 336.08/s) LR: 6.176e-04 Data: 0.000 (0.024) +2024-12-26 14:25:43,566 - train: [ INFO] - Train: 7 [ 51/52 (100%)] Loss: 1.230165 (1.2853) Acc@1: 54.6875 (56.2500) Acc@5: 100.0000 (98.6979) Time: 0.354s, 361.91/s (0.380s, 336.55/s) LR: 6.176e-04 Data: 0.000 (0.023) +2024-12-26 14:25:45,023 - train: [ INFO] - Eval : 7 Time: 1.291 (1.291) Loss: 1.5272 (1.5272) Acc@1: 42.1875 (42.1875)Acc@5: 95.3125 (95.3125) +2024-12-26 14:25:45,703 - train: [ INFO] - Eval : 7 Time: 0.134 (0.328) Loss: 1.3645 (1.4417) Acc@1: 50.0000 (46.9086)Acc@5: 93.2692 (92.8763) +2024-12-26 14:25:47,967 - train: [ INFO] - Train: 8 [ 0/52 ( 0%)] Loss: 1.256084 (1.2561) Acc@1: 59.3750 (59.3750) Acc@5: 99.2188 (99.2188) Time: 1.547s, 82.76/s (1.547s, 82.76/s) LR: 6.153e-04 Data: 1.127 (1.127) +2024-12-26 14:26:05,803 - train: [ INFO] - Train: 8 [ 50/52 ( 98%)] Loss: 1.242360 (1.2492) Acc@1: 57.0312 (58.2031) Acc@5: 99.2188 (99.2188) Time: 0.348s, 368.02/s (0.379s, 337.87/s) LR: 6.153e-04 Data: 0.000 (0.023) +2024-12-26 14:26:06,158 - train: [ INFO] - Train: 8 [ 51/52 (100%)] Loss: 1.160282 (1.2196) Acc@1: 64.0625 (60.1562) Acc@5: 100.0000 (99.4792) Time: 0.352s, 363.13/s (0.378s, 338.33/s) LR: 6.153e-04 Data: 0.000 (0.023) +2024-12-26 14:26:07,749 - train: [ INFO] - Eval : 8 Time: 1.385 (1.385) Loss: 1.2041 (1.2041) Acc@1: 53.1250 (53.1250)Acc@5: 98.4375 (98.4375) +2024-12-26 14:26:08,443 - train: [ INFO] - Eval : 8 Time: 0.125 (0.346) Loss: 1.1869 (1.1898) Acc@1: 54.8077 (55.2419)Acc@5: 97.1154 (98.2527) +2024-12-26 14:26:09,214 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-8.pth.tar', 55.24193564794397) + +2024-12-26 14:26:11,005 - train: [ INFO] - Train: 9 [ 0/52 ( 0%)] Loss: 1.171867 (1.1719) Acc@1: 61.7188 (61.7188) Acc@5: 98.4375 (98.4375) Time: 1.780s, 71.92/s (1.780s, 71.92/s) LR: 6.128e-04 Data: 1.371 (1.371) +2024-12-26 14:26:28,889 - train: [ INFO] - Train: 9 [ 50/52 ( 98%)] Loss: 1.239547 (1.2057) Acc@1: 60.1562 (60.9375) Acc@5: 99.2188 (98.8281) Time: 0.357s, 358.71/s (0.384s, 332.95/s) LR: 6.128e-04 Data: 0.000 (0.028) +2024-12-26 14:26:29,247 - train: [ INFO] - Train: 9 [ 51/52 (100%)] Loss: 1.224354 (1.2119) Acc@1: 58.5938 (60.1562) Acc@5: 99.2188 (98.9583) Time: 0.356s, 359.96/s (0.384s, 333.43/s) LR: 6.128e-04 Data: 0.000 (0.027) +2024-12-26 14:26:30,835 - train: [ INFO] - Eval : 9 Time: 1.431 (1.431) Loss: 1.9110 (1.9110) Acc@1: 46.0938 (46.0938)Acc@5: 95.3125 (95.3125) +2024-12-26 14:26:31,530 - train: [ INFO] - Eval : 9 Time: 0.128 (0.354) Loss: 2.2558 (2.0088) Acc@1: 41.3462 (42.0699)Acc@5: 94.2308 (95.6989) +2024-12-26 14:26:34,258 - train: [ INFO] - Train: 10 [ 0/52 ( 0%)] Loss: 1.226925 (1.2269) Acc@1: 60.1562 (60.1562) Acc@5: 98.4375 (98.4375) Time: 1.993s, 64.23/s (1.993s, 64.23/s) LR: 6.099e-04 Data: 1.600 (1.600) +2024-12-26 14:26:52,206 - train: [ INFO] - Train: 10 [ 50/52 ( 98%)] Loss: 1.179877 (1.2034) Acc@1: 61.7188 (60.9375) Acc@5: 98.4375 (98.4375) Time: 0.368s, 347.98/s (0.389s, 328.92/s) LR: 6.099e-04 Data: 0.000 (0.032) +2024-12-26 14:26:52,627 - train: [ INFO] - Train: 10 [ 51/52 (100%)] Loss: 1.136496 (1.1811) Acc@1: 64.8438 (62.2396) Acc@5: 99.2188 (98.6979) Time: 0.348s, 367.96/s (0.388s, 329.60/s) LR: 6.099e-04 Data: 0.000 (0.032) +2024-12-26 14:26:54,978 - train: [ INFO] - Eval : 10 Time: 2.217 (2.217) Loss: 1.0643 (1.0643) Acc@1: 62.5000 (62.5000)Acc@5: 99.2188 (99.2188) +2024-12-26 14:26:55,659 - train: [ INFO] - Eval : 10 Time: 0.126 (0.483) Loss: 1.1080 (1.1374) Acc@1: 60.5769 (58.4677)Acc@5: 96.1538 (98.5215) +2024-12-26 14:26:56,475 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-10.pth.tar', 58.467742509739374) + +2024-12-26 14:26:59,061 - train: [ INFO] - Train: 11 [ 0/52 ( 0%)] Loss: 1.108492 (1.1085) Acc@1: 66.4062 (66.4062) Acc@5: 100.0000 (100.0000) Time: 2.571s, 49.78/s (2.571s, 49.78/s) LR: 6.068e-04 Data: 2.149 (2.149) +2024-12-26 14:27:17,025 - train: [ INFO] - Train: 11 [ 50/52 ( 98%)] Loss: 1.164819 (1.1367) Acc@1: 60.1562 (63.2812) Acc@5: 99.2188 (99.6094) Time: 0.358s, 357.56/s (0.401s, 318.84/s) LR: 6.068e-04 Data: 0.000 (0.043) +2024-12-26 14:27:17,382 - train: [ INFO] - Train: 11 [ 51/52 (100%)] Loss: 1.114378 (1.1292) Acc@1: 65.6250 (64.0625) Acc@5: 100.0000 (99.7396) Time: 0.353s, 362.56/s (0.401s, 319.58/s) LR: 6.068e-04 Data: 0.000 (0.042) +2024-12-26 14:27:20,338 - train: [ INFO] - Eval : 11 Time: 2.815 (2.815) Loss: 1.5166 (1.5166) Acc@1: 45.3125 (45.3125)Acc@5: 96.8750 (96.8750) +2024-12-26 14:27:20,986 - train: [ INFO] - Eval : 11 Time: 0.122 (0.577) Loss: 1.3201 (1.3664) Acc@1: 44.2308 (49.7312)Acc@5: 98.0769 (96.7742) +2024-12-26 14:27:25,132 - train: [ INFO] - Train: 12 [ 0/52 ( 0%)] Loss: 0.975972 (0.9760) Acc@1: 71.8750 (71.8750) Acc@5: 99.2188 (99.2188) Time: 3.345s, 38.27/s (3.345s, 38.27/s) LR: 6.034e-04 Data: 2.953 (2.953) +2024-12-26 14:27:43,047 - train: [ INFO] - Train: 12 [ 50/52 ( 98%)] Loss: 1.264806 (1.1204) Acc@1: 49.2188 (60.5469) Acc@5: 100.0000 (99.6094) Time: 0.366s, 349.37/s (0.416s, 308.04/s) LR: 6.034e-04 Data: 0.000 (0.059) +2024-12-26 14:27:43,409 - train: [ INFO] - Train: 12 [ 51/52 (100%)] Loss: 1.072594 (1.1045) Acc@1: 72.6562 (64.5833) Acc@5: 97.6562 (98.9583) Time: 0.359s, 356.70/s (0.414s, 308.85/s) LR: 6.034e-04 Data: 0.000 (0.058) +2024-12-26 14:27:44,593 - train: [ INFO] - Eval : 12 Time: 1.042 (1.042) Loss: 1.7412 (1.7412) Acc@1: 38.2812 (38.2812)Acc@5: 97.6562 (97.6562) +2024-12-26 14:27:45,259 - train: [ INFO] - Eval : 12 Time: 0.124 (0.285) Loss: 1.5932 (1.7324) Acc@1: 34.6154 (39.5161)Acc@5: 100.0000 (97.1774) +2024-12-26 14:27:48,162 - train: [ INFO] - Train: 13 [ 0/52 ( 0%)] Loss: 0.947643 (0.9476) Acc@1: 77.3438 (77.3438) Acc@5: 99.2188 (99.2188) Time: 1.697s, 75.45/s (1.697s, 75.45/s) LR: 5.997e-04 Data: 1.288 (1.288) +2024-12-26 14:28:06,244 - train: [ INFO] - Train: 13 [ 50/52 ( 98%)] Loss: 1.189805 (1.0687) Acc@1: 62.5000 (69.9219) Acc@5: 98.4375 (98.8281) Time: 0.348s, 367.33/s (0.385s, 332.23/s) LR: 5.997e-04 Data: 0.000 (0.030) +2024-12-26 14:28:06,597 - train: [ INFO] - Train: 13 [ 51/52 (100%)] Loss: 1.045627 (1.0610) Acc@1: 68.7500 (69.5312) Acc@5: 98.4375 (98.6979) Time: 0.350s, 365.85/s (0.385s, 332.82/s) LR: 5.997e-04 Data: 0.001 (0.030) +2024-12-26 14:28:07,981 - train: [ INFO] - Eval : 13 Time: 1.228 (1.228) Loss: 1.6014 (1.6014) Acc@1: 50.0000 (50.0000)Acc@5: 92.1875 (92.1875) +2024-12-26 14:28:08,671 - train: [ INFO] - Eval : 13 Time: 0.126 (0.320) Loss: 1.5798 (1.5921) Acc@1: 47.1154 (45.4301)Acc@5: 96.1538 (92.8763) +2024-12-26 14:28:10,762 - train: [ INFO] - Train: 14 [ 0/52 ( 0%)] Loss: 1.143879 (1.1439) Acc@1: 63.2812 (63.2812) Acc@5: 99.2188 (99.2188) Time: 1.397s, 91.65/s (1.397s, 91.65/s) LR: 5.957e-04 Data: 0.972 (0.972) +2024-12-26 14:28:28,736 - train: [ INFO] - Train: 14 [ 50/52 ( 98%)] Loss: 1.134103 (1.1390) Acc@1: 66.4062 (64.8438) Acc@5: 98.4375 (98.8281) Time: 0.353s, 362.64/s (0.379s, 337.73/s) LR: 5.957e-04 Data: 0.000 (0.020) +2024-12-26 14:28:29,093 - train: [ INFO] - Train: 14 [ 51/52 (100%)] Loss: 1.177282 (1.1518) Acc@1: 57.8125 (62.5000) Acc@5: 99.2188 (98.9583) Time: 0.353s, 362.19/s (0.379s, 338.17/s) LR: 5.957e-04 Data: 0.000 (0.020) +2024-12-26 14:28:30,485 - train: [ INFO] - Eval : 14 Time: 1.230 (1.230) Loss: 1.5346 (1.5346) Acc@1: 46.0938 (46.0938)Acc@5: 100.0000 (100.0000) +2024-12-26 14:28:31,151 - train: [ INFO] - Eval : 14 Time: 0.127 (0.316) Loss: 1.4345 (1.5483) Acc@1: 44.2308 (39.2473)Acc@5: 100.0000 (99.4624) +2024-12-26 14:28:33,278 - train: [ INFO] - Train: 15 [ 0/52 ( 0%)] Loss: 1.118477 (1.1185) Acc@1: 66.4062 (66.4062) Acc@5: 100.0000 (100.0000) Time: 1.337s, 95.73/s (1.337s, 95.73/s) LR: 5.915e-04 Data: 0.972 (0.972) +2024-12-26 14:28:51,202 - train: [ INFO] - Train: 15 [ 50/52 ( 98%)] Loss: 1.070054 (1.0943) Acc@1: 69.5312 (67.9688) Acc@5: 100.0000 (100.0000) Time: 0.364s, 351.18/s (0.376s, 340.01/s) LR: 5.915e-04 Data: 0.000 (0.020) +2024-12-26 14:28:51,562 - train: [ INFO] - Train: 15 [ 51/52 (100%)] Loss: 1.113496 (1.1007) Acc@1: 67.1875 (67.7083) Acc@5: 100.0000 (100.0000) Time: 0.356s, 359.28/s (0.376s, 340.37/s) LR: 5.915e-04 Data: 0.000 (0.020) +2024-12-26 14:28:52,936 - train: [ INFO] - Eval : 15 Time: 1.230 (1.230) Loss: 1.4826 (1.4826) Acc@1: 50.0000 (50.0000)Acc@5: 98.4375 (98.4375) +2024-12-26 14:28:53,598 - train: [ INFO] - Eval : 15 Time: 0.123 (0.315) Loss: 1.3470 (1.5297) Acc@1: 51.9231 (45.2957)Acc@5: 95.1923 (96.6398) +2024-12-26 14:28:55,811 - train: [ INFO] - Train: 16 [ 0/52 ( 0%)] Loss: 0.917957 (0.9180) Acc@1: 75.0000 (75.0000) Acc@5: 100.0000 (100.0000) Time: 1.490s, 85.92/s (1.490s, 85.92/s) LR: 5.870e-04 Data: 1.093 (1.093) +2024-12-26 14:29:13,890 - train: [ INFO] - Train: 16 [ 50/52 ( 98%)] Loss: 1.090136 (1.0040) Acc@1: 67.1875 (71.0938) Acc@5: 100.0000 (100.0000) Time: 0.363s, 352.74/s (0.382s, 334.93/s) LR: 5.870e-04 Data: 0.000 (0.022) +2024-12-26 14:29:14,333 - train: [ INFO] - Train: 16 [ 51/52 (100%)] Loss: 1.045587 (1.0179) Acc@1: 71.8750 (71.3542) Acc@5: 97.6562 (99.2188) Time: 0.363s, 352.35/s (0.382s, 335.25/s) LR: 5.870e-04 Data: 0.000 (0.022) +2024-12-26 14:29:16,400 - train: [ INFO] - Eval : 16 Time: 1.915 (1.915) Loss: 1.4144 (1.4144) Acc@1: 48.4375 (48.4375)Acc@5: 94.5312 (94.5312) +2024-12-26 14:29:17,101 - train: [ INFO] - Eval : 16 Time: 0.126 (0.436) Loss: 1.4001 (1.4241) Acc@1: 45.1923 (46.6398)Acc@5: 97.1154 (95.9677) +2024-12-26 14:29:20,036 - train: [ INFO] - Train: 17 [ 0/52 ( 0%)] Loss: 0.970556 (0.9706) Acc@1: 71.8750 (71.8750) Acc@5: 100.0000 (100.0000) Time: 2.190s, 58.45/s (2.190s, 58.45/s) LR: 5.822e-04 Data: 1.794 (1.794) +2024-12-26 14:29:38,052 - train: [ INFO] - Train: 17 [ 50/52 ( 98%)] Loss: 1.124769 (1.0477) Acc@1: 67.9688 (69.9219) Acc@5: 98.4375 (99.2188) Time: 0.349s, 366.56/s (0.395s, 323.81/s) LR: 5.822e-04 Data: 0.000 (0.036) +2024-12-26 14:29:38,404 - train: [ INFO] - Train: 17 [ 51/52 (100%)] Loss: 1.050122 (1.0485) Acc@1: 71.8750 (70.5729) Acc@5: 99.2188 (99.2188) Time: 0.349s, 367.08/s (0.394s, 324.54/s) LR: 5.822e-04 Data: 0.000 (0.036) +2024-12-26 14:29:39,688 - train: [ INFO] - Eval : 17 Time: 1.128 (1.128) Loss: 0.9785 (0.9785) Acc@1: 63.2812 (63.2812)Acc@5: 99.2188 (99.2188) +2024-12-26 14:29:40,340 - train: [ INFO] - Eval : 17 Time: 0.122 (0.297) Loss: 1.1849 (1.1784) Acc@1: 55.7692 (54.8387)Acc@5: 98.0769 (98.5215) +2024-12-26 14:29:44,121 - train: [ INFO] - Train: 18 [ 0/52 ( 0%)] Loss: 0.922644 (0.9226) Acc@1: 75.7812 (75.7812) Acc@5: 100.0000 (100.0000) Time: 3.001s, 42.66/s (3.001s, 42.66/s) LR: 5.771e-04 Data: 2.616 (2.616) +2024-12-26 14:30:01,977 - train: [ INFO] - Train: 18 [ 50/52 ( 98%)] Loss: 1.034511 (0.9786) Acc@1: 67.9688 (71.8750) Acc@5: 100.0000 (100.0000) Time: 0.361s, 354.10/s (0.408s, 313.73/s) LR: 5.771e-04 Data: 0.000 (0.052) +2024-12-26 14:30:02,331 - train: [ INFO] - Train: 18 [ 51/52 (100%)] Loss: 1.078070 (1.0117) Acc@1: 67.1875 (70.3125) Acc@5: 98.4375 (99.4792) Time: 0.351s, 365.05/s (0.407s, 314.58/s) LR: 5.771e-04 Data: 0.000 (0.051) +2024-12-26 14:30:03,797 - train: [ INFO] - Eval : 18 Time: 1.270 (1.270) Loss: 1.7426 (1.7426) Acc@1: 43.7500 (43.7500)Acc@5: 96.0938 (96.0938) +2024-12-26 14:30:04,456 - train: [ INFO] - Eval : 18 Time: 0.130 (0.322) Loss: 2.2380 (1.9590) Acc@1: 35.5769 (40.9946)Acc@5: 92.3077 (96.1022) +2024-12-26 14:30:06,661 - train: [ INFO] - Train: 19 [ 0/52 ( 0%)] Loss: 0.943210 (0.9432) Acc@1: 79.6875 (79.6875) Acc@5: 100.0000 (100.0000) Time: 1.455s, 87.99/s (1.455s, 87.99/s) LR: 5.718e-04 Data: 1.049 (1.049) +2024-12-26 14:30:24,565 - train: [ INFO] - Train: 19 [ 50/52 ( 98%)] Loss: 1.002212 (0.9727) Acc@1: 70.3125 (75.0000) Acc@5: 100.0000 (100.0000) Time: 0.370s, 346.00/s (0.379s, 338.16/s) LR: 5.718e-04 Data: 0.000 (0.022) +2024-12-26 14:30:24,917 - train: [ INFO] - Train: 19 [ 51/52 (100%)] Loss: 0.948073 (0.9645) Acc@1: 79.6875 (76.5625) Acc@5: 99.2188 (99.7396) Time: 0.348s, 367.58/s (0.378s, 338.68/s) LR: 5.718e-04 Data: 0.000 (0.021) +2024-12-26 14:30:26,738 - train: [ INFO] - Eval : 19 Time: 1.635 (1.635) Loss: 1.4066 (1.4066) Acc@1: 47.6562 (47.6562)Acc@5: 96.8750 (96.8750) +2024-12-26 14:30:27,421 - train: [ INFO] - Eval : 19 Time: 0.136 (0.386) Loss: 1.1352 (1.2656) Acc@1: 55.7692 (50.1344)Acc@5: 99.0385 (98.1183) +2024-12-26 14:30:29,532 - train: [ INFO] - Train: 20 [ 0/52 ( 0%)] Loss: 0.967503 (0.9675) Acc@1: 73.4375 (73.4375) Acc@5: 99.2188 (99.2188) Time: 1.352s, 94.68/s (1.352s, 94.68/s) LR: 5.663e-04 Data: 0.955 (0.955) +2024-12-26 14:30:47,551 - train: [ INFO] - Train: 20 [ 50/52 ( 98%)] Loss: 0.910361 (0.9389) Acc@1: 83.5938 (78.5156) Acc@5: 100.0000 (99.6094) Time: 0.350s, 365.83/s (0.378s, 338.88/s) LR: 5.663e-04 Data: 0.000 (0.020) +2024-12-26 14:30:47,902 - train: [ INFO] - Train: 20 [ 51/52 (100%)] Loss: 0.903224 (0.9270) Acc@1: 75.7812 (77.6042) Acc@5: 100.0000 (99.7396) Time: 0.348s, 367.31/s (0.377s, 339.38/s) LR: 5.663e-04 Data: 0.000 (0.020) +2024-12-26 14:30:49,259 - train: [ INFO] - Eval : 20 Time: 1.210 (1.210) Loss: 1.2374 (1.2374) Acc@1: 54.6875 (54.6875)Acc@5: 96.8750 (96.8750) +2024-12-26 14:30:49,940 - train: [ INFO] - Eval : 20 Time: 0.135 (0.315) Loss: 1.2502 (1.2929) Acc@1: 60.5769 (52.8226)Acc@5: 97.1154 (98.3871) +2024-12-26 14:30:52,240 - train: [ INFO] - Train: 21 [ 0/52 ( 0%)] Loss: 0.857862 (0.8579) Acc@1: 80.4688 (80.4688) Acc@5: 100.0000 (100.0000) Time: 1.554s, 82.39/s (1.554s, 82.39/s) LR: 5.605e-04 Data: 1.147 (1.147) +2024-12-26 14:31:10,254 - train: [ INFO] - Train: 21 [ 50/52 ( 98%)] Loss: 0.885952 (0.8719) Acc@1: 78.9062 (79.6875) Acc@5: 99.2188 (99.6094) Time: 0.408s, 313.69/s (0.383s, 334.33/s) LR: 5.605e-04 Data: 0.000 (0.023) +2024-12-26 14:31:10,625 - train: [ INFO] - Train: 21 [ 51/52 (100%)] Loss: 0.901504 (0.8818) Acc@1: 78.1250 (79.1667) Acc@5: 100.0000 (99.7396) Time: 0.368s, 347.38/s (0.383s, 334.57/s) LR: 5.605e-04 Data: 0.000 (0.023) +2024-12-26 14:31:12,706 - train: [ INFO] - Eval : 21 Time: 1.942 (1.942) Loss: 1.3858 (1.3858) Acc@1: 53.9062 (53.9062)Acc@5: 95.3125 (95.3125) +2024-12-26 14:31:13,401 - train: [ INFO] - Eval : 21 Time: 0.141 (0.440) Loss: 1.5080 (1.4387) Acc@1: 50.9615 (53.0914)Acc@5: 96.1538 (93.4140) +2024-12-26 14:31:15,891 - train: [ INFO] - Train: 22 [ 0/52 ( 0%)] Loss: 0.855288 (0.8553) Acc@1: 78.9062 (78.9062) Acc@5: 100.0000 (100.0000) Time: 1.495s, 85.61/s (1.495s, 85.61/s) LR: 5.544e-04 Data: 1.100 (1.100) +2024-12-26 14:31:33,843 - train: [ INFO] - Train: 22 [ 50/52 ( 98%)] Loss: 0.910123 (0.8827) Acc@1: 76.5625 (77.7344) Acc@5: 99.2188 (99.6094) Time: 0.347s, 369.34/s (0.381s, 336.39/s) LR: 5.544e-04 Data: 0.000 (0.023) +2024-12-26 14:31:34,284 - train: [ INFO] - Train: 22 [ 51/52 (100%)] Loss: 0.902426 (0.8893) Acc@1: 75.7812 (77.0833) Acc@5: 100.0000 (99.7396) Time: 0.360s, 355.34/s (0.380s, 336.73/s) LR: 5.544e-04 Data: 0.000 (0.022) +2024-12-26 14:31:36,158 - train: [ INFO] - Eval : 22 Time: 1.687 (1.687) Loss: 1.7367 (1.7367) Acc@1: 39.8438 (39.8438)Acc@5: 95.3125 (95.3125) +2024-12-26 14:31:36,859 - train: [ INFO] - Eval : 22 Time: 0.145 (0.398) Loss: 1.6024 (1.6290) Acc@1: 51.9231 (45.6989)Acc@5: 96.1538 (95.6989) +2024-12-26 14:31:40,271 - train: [ INFO] - Train: 23 [ 0/52 ( 0%)] Loss: 0.832915 (0.8329) Acc@1: 79.6875 (79.6875) Acc@5: 100.0000 (100.0000) Time: 2.150s, 59.54/s (2.150s, 59.54/s) LR: 5.482e-04 Data: 1.745 (1.745) +2024-12-26 14:31:58,291 - train: [ INFO] - Train: 23 [ 50/52 ( 98%)] Loss: 0.814742 (0.8238) Acc@1: 85.1562 (82.4219) Acc@5: 100.0000 (100.0000) Time: 0.348s, 367.33/s (0.394s, 324.86/s) LR: 5.482e-04 Data: 0.000 (0.036) +2024-12-26 14:31:58,654 - train: [ INFO] - Train: 23 [ 51/52 (100%)] Loss: 0.830273 (0.8260) Acc@1: 82.8125 (82.5521) Acc@5: 100.0000 (100.0000) Time: 0.351s, 364.16/s (0.393s, 325.53/s) LR: 5.482e-04 Data: 0.000 (0.035) +2024-12-26 14:32:00,038 - train: [ INFO] - Eval : 23 Time: 1.189 (1.189) Loss: 1.6117 (1.6117) Acc@1: 53.9062 (53.9062)Acc@5: 94.5312 (94.5312) +2024-12-26 14:32:00,707 - train: [ INFO] - Eval : 23 Time: 0.125 (0.310) Loss: 1.6340 (1.5765) Acc@1: 51.9231 (52.1505)Acc@5: 92.3077 (94.2204) +2024-12-26 14:32:04,643 - train: [ INFO] - Train: 24 [ 0/52 ( 0%)] Loss: 0.773615 (0.7736) Acc@1: 85.9375 (85.9375) Acc@5: 100.0000 (100.0000) Time: 3.186s, 40.18/s (3.186s, 40.18/s) LR: 5.417e-04 Data: 2.793 (2.793) +2024-12-26 14:32:22,734 - train: [ INFO] - Train: 24 [ 50/52 ( 98%)] Loss: 0.757744 (0.7657) Acc@1: 85.1562 (85.5469) Acc@5: 100.0000 (100.0000) Time: 0.375s, 341.55/s (0.416s, 307.95/s) LR: 5.417e-04 Data: 0.000 (0.056) +2024-12-26 14:32:23,088 - train: [ INFO] - Train: 24 [ 51/52 (100%)] Loss: 0.827690 (0.7864) Acc@1: 82.8125 (84.6354) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.47/s (0.414s, 308.89/s) LR: 5.417e-04 Data: 0.000 (0.055) +2024-12-26 14:32:24,436 - train: [ INFO] - Eval : 24 Time: 1.152 (1.152) Loss: 1.2228 (1.2228) Acc@1: 57.0312 (57.0312)Acc@5: 96.0938 (96.0938) +2024-12-26 14:32:25,113 - train: [ INFO] - Eval : 24 Time: 0.124 (0.305) Loss: 1.2086 (1.2440) Acc@1: 62.5000 (56.4516)Acc@5: 96.1538 (97.1774) +2024-12-26 14:32:27,585 - train: [ INFO] - Train: 25 [ 0/52 ( 0%)] Loss: 0.850473 (0.8505) Acc@1: 81.2500 (81.2500) Acc@5: 98.4375 (98.4375) Time: 1.442s, 88.78/s (1.442s, 88.78/s) LR: 5.349e-04 Data: 1.035 (1.035) +2024-12-26 14:32:45,450 - train: [ INFO] - Train: 25 [ 50/52 ( 98%)] Loss: 0.824795 (0.8376) Acc@1: 81.2500 (81.2500) Acc@5: 100.0000 (99.2188) Time: 0.357s, 358.26/s (0.377s, 339.16/s) LR: 5.349e-04 Data: 0.000 (0.021) +2024-12-26 14:32:45,800 - train: [ INFO] - Train: 25 [ 51/52 (100%)] Loss: 0.928423 (0.8679) Acc@1: 79.6875 (80.7292) Acc@5: 100.0000 (99.4792) Time: 0.347s, 368.45/s (0.377s, 339.68/s) LR: 5.349e-04 Data: 0.000 (0.021) +2024-12-26 14:32:47,237 - train: [ INFO] - Eval : 25 Time: 1.213 (1.213) Loss: 2.3969 (2.3969) Acc@1: 39.8438 (39.8438)Acc@5: 93.7500 (93.7500) +2024-12-26 14:32:47,928 - train: [ INFO] - Eval : 25 Time: 0.125 (0.317) Loss: 2.3076 (2.3154) Acc@1: 43.2692 (43.1452)Acc@5: 94.2308 (93.4140) +2024-12-26 14:32:50,077 - train: [ INFO] - Train: 26 [ 0/52 ( 0%)] Loss: 0.824271 (0.8243) Acc@1: 78.1250 (78.1250) Acc@5: 100.0000 (100.0000) Time: 1.392s, 91.98/s (1.392s, 91.98/s) LR: 5.280e-04 Data: 0.988 (0.988) +2024-12-26 14:33:07,977 - train: [ INFO] - Train: 26 [ 50/52 ( 98%)] Loss: 0.765242 (0.7948) Acc@1: 87.5000 (82.8125) Acc@5: 100.0000 (100.0000) Time: 0.368s, 348.25/s (0.377s, 339.25/s) LR: 5.280e-04 Data: 0.000 (0.020) +2024-12-26 14:33:08,328 - train: [ INFO] - Train: 26 [ 51/52 (100%)] Loss: 0.768818 (0.7861) Acc@1: 83.5938 (83.0729) Acc@5: 99.2188 (99.7396) Time: 0.348s, 367.44/s (0.377s, 339.75/s) LR: 5.280e-04 Data: 0.000 (0.020) +2024-12-26 14:33:09,636 - train: [ INFO] - Eval : 26 Time: 1.163 (1.163) Loss: 1.8415 (1.8415) Acc@1: 55.4688 (55.4688)Acc@5: 92.1875 (92.1875) +2024-12-26 14:33:10,317 - train: [ INFO] - Eval : 26 Time: 0.130 (0.307) Loss: 1.7090 (1.7650) Acc@1: 51.9231 (52.4194)Acc@5: 96.1538 (94.4892) +2024-12-26 14:33:12,508 - train: [ INFO] - Train: 27 [ 0/52 ( 0%)] Loss: 0.763612 (0.7636) Acc@1: 85.9375 (85.9375) Acc@5: 100.0000 (100.0000) Time: 1.455s, 87.98/s (1.455s, 87.98/s) LR: 5.209e-04 Data: 1.049 (1.049) +2024-12-26 14:33:30,553 - train: [ INFO] - Train: 27 [ 50/52 ( 98%)] Loss: 0.892880 (0.8282) Acc@1: 75.7812 (80.8594) Acc@5: 100.0000 (100.0000) Time: 0.357s, 358.61/s (0.381s, 336.30/s) LR: 5.209e-04 Data: 0.000 (0.022) +2024-12-26 14:33:30,908 - train: [ INFO] - Train: 27 [ 51/52 (100%)] Loss: 0.797677 (0.8181) Acc@1: 82.8125 (81.5104) Acc@5: 100.0000 (100.0000) Time: 0.352s, 363.94/s (0.380s, 336.79/s) LR: 5.209e-04 Data: 0.000 (0.021) +2024-12-26 14:33:33,608 - train: [ INFO] - Eval : 27 Time: 2.529 (2.529) Loss: 1.2165 (1.2165) Acc@1: 59.3750 (59.3750)Acc@5: 97.6562 (97.6562) +2024-12-26 14:33:34,315 - train: [ INFO] - Eval : 27 Time: 0.130 (0.540) Loss: 1.4020 (1.3631) Acc@1: 52.8846 (53.6290)Acc@5: 99.0385 (98.1183) +2024-12-26 14:33:36,592 - train: [ INFO] - Train: 28 [ 0/52 ( 0%)] Loss: 0.749258 (0.7493) Acc@1: 86.7188 (86.7188) Acc@5: 100.0000 (100.0000) Time: 1.481s, 86.43/s (1.481s, 86.43/s) LR: 5.135e-04 Data: 1.080 (1.080) +2024-12-26 14:33:54,540 - train: [ INFO] - Train: 28 [ 50/52 ( 98%)] Loss: 0.781056 (0.7652) Acc@1: 83.5938 (85.1562) Acc@5: 100.0000 (100.0000) Time: 0.351s, 364.59/s (0.380s, 336.88/s) LR: 5.135e-04 Data: 0.000 (0.022) +2024-12-26 14:33:54,891 - train: [ INFO] - Train: 28 [ 51/52 (100%)] Loss: 0.772279 (0.7675) Acc@1: 84.3750 (84.8958) Acc@5: 100.0000 (100.0000) Time: 0.349s, 367.04/s (0.379s, 337.41/s) LR: 5.135e-04 Data: 0.000 (0.022) +2024-12-26 14:33:56,514 - train: [ INFO] - Eval : 28 Time: 1.495 (1.495) Loss: 1.3479 (1.3479) Acc@1: 53.1250 (53.1250)Acc@5: 96.8750 (96.8750) +2024-12-26 14:33:57,601 - train: [ INFO] - Eval : 28 Time: 0.161 (0.383) Loss: 1.2485 (1.2436) Acc@1: 48.0769 (54.8387)Acc@5: 99.0385 (97.8495) +2024-12-26 14:34:00,603 - train: [ INFO] - Train: 29 [ 0/52 ( 0%)] Loss: 0.752989 (0.7530) Acc@1: 89.8438 (89.8438) Acc@5: 100.0000 (100.0000) Time: 2.180s, 58.73/s (2.180s, 58.73/s) LR: 5.060e-04 Data: 1.782 (1.782) +2024-12-26 14:34:18,575 - train: [ INFO] - Train: 29 [ 50/52 ( 98%)] Loss: 0.774926 (0.7640) Acc@1: 87.5000 (88.6719) Acc@5: 100.0000 (100.0000) Time: 0.363s, 352.17/s (0.394s, 324.76/s) LR: 5.060e-04 Data: 0.000 (0.036) +2024-12-26 14:34:18,937 - train: [ INFO] - Train: 29 [ 51/52 (100%)] Loss: 0.796839 (0.7749) Acc@1: 85.9375 (87.7604) Acc@5: 99.2188 (99.7396) Time: 0.360s, 355.91/s (0.393s, 325.30/s) LR: 5.060e-04 Data: 0.000 (0.035) +2024-12-26 14:34:20,495 - train: [ INFO] - Eval : 29 Time: 1.425 (1.425) Loss: 1.5307 (1.5307) Acc@1: 51.5625 (51.5625)Acc@5: 97.6562 (97.6562) +2024-12-26 14:34:21,181 - train: [ INFO] - Eval : 29 Time: 0.135 (0.352) Loss: 1.5789 (1.6517) Acc@1: 54.8077 (50.8065)Acc@5: 97.1154 (96.6398) +2024-12-26 14:34:23,442 - train: [ INFO] - Train: 30 [ 0/52 ( 0%)] Loss: 0.714403 (0.7144) Acc@1: 88.2812 (88.2812) Acc@5: 100.0000 (100.0000) Time: 1.494s, 85.66/s (1.494s, 85.66/s) LR: 4.982e-04 Data: 1.101 (1.101) +2024-12-26 14:34:41,412 - train: [ INFO] - Train: 30 [ 50/52 ( 98%)] Loss: 0.734090 (0.7242) Acc@1: 84.3750 (86.3281) Acc@5: 100.0000 (100.0000) Time: 0.360s, 355.37/s (0.380s, 336.68/s) LR: 4.982e-04 Data: 0.000 (0.023) +2024-12-26 14:34:41,787 - train: [ INFO] - Train: 30 [ 51/52 (100%)] Loss: 0.670935 (0.7065) Acc@1: 88.2812 (86.9792) Acc@5: 100.0000 (100.0000) Time: 0.371s, 345.16/s (0.380s, 336.84/s) LR: 4.982e-04 Data: 0.001 (0.022) +2024-12-26 14:34:43,275 - train: [ INFO] - Eval : 30 Time: 1.327 (1.327) Loss: 1.7259 (1.7259) Acc@1: 42.1875 (42.1875)Acc@5: 96.0938 (96.0938) +2024-12-26 14:34:43,922 - train: [ INFO] - Eval : 30 Time: 0.123 (0.329) Loss: 1.8833 (1.7779) Acc@1: 42.3077 (45.2957)Acc@5: 93.2692 (94.6237) +2024-12-26 14:34:46,032 - train: [ INFO] - Train: 31 [ 0/52 ( 0%)] Loss: 0.697459 (0.6975) Acc@1: 91.4062 (91.4062) Acc@5: 100.0000 (100.0000) Time: 1.343s, 95.31/s (1.343s, 95.31/s) LR: 4.903e-04 Data: 0.948 (0.948) +2024-12-26 14:35:03,942 - train: [ INFO] - Train: 31 [ 50/52 ( 98%)] Loss: 0.777067 (0.7373) Acc@1: 83.5938 (87.5000) Acc@5: 100.0000 (100.0000) Time: 0.356s, 359.86/s (0.376s, 340.24/s) LR: 4.903e-04 Data: 0.000 (0.020) +2024-12-26 14:35:04,294 - train: [ INFO] - Train: 31 [ 51/52 (100%)] Loss: 0.754933 (0.7432) Acc@1: 85.1562 (86.7188) Acc@5: 100.0000 (100.0000) Time: 0.349s, 366.65/s (0.376s, 340.71/s) LR: 4.903e-04 Data: 0.000 (0.019) +2024-12-26 14:35:05,669 - train: [ INFO] - Eval : 31 Time: 1.230 (1.230) Loss: 1.5335 (1.5335) Acc@1: 49.2188 (49.2188)Acc@5: 99.2188 (99.2188) +2024-12-26 14:35:06,331 - train: [ INFO] - Eval : 31 Time: 0.130 (0.315) Loss: 1.4127 (1.4473) Acc@1: 49.0385 (49.1935)Acc@5: 96.1538 (97.1774) +2024-12-26 14:35:08,767 - train: [ INFO] - Train: 32 [ 0/52 ( 0%)] Loss: 0.671344 (0.6713) Acc@1: 92.9688 (92.9688) Acc@5: 100.0000 (100.0000) Time: 1.700s, 75.29/s (1.700s, 75.29/s) LR: 4.823e-04 Data: 1.272 (1.272) +2024-12-26 14:35:26,662 - train: [ INFO] - Train: 32 [ 50/52 ( 98%)] Loss: 0.732128 (0.7017) Acc@1: 85.1562 (89.0625) Acc@5: 100.0000 (100.0000) Time: 0.346s, 369.64/s (0.383s, 334.25/s) LR: 4.823e-04 Data: 0.000 (0.026) +2024-12-26 14:35:27,010 - train: [ INFO] - Train: 32 [ 51/52 (100%)] Loss: 0.723366 (0.7089) Acc@1: 89.0625 (89.0625) Acc@5: 100.0000 (100.0000) Time: 0.346s, 369.96/s (0.382s, 334.87/s) LR: 4.823e-04 Data: 0.000 (0.025) +2024-12-26 14:35:28,967 - train: [ INFO] - Eval : 32 Time: 1.809 (1.809) Loss: 2.1888 (2.1888) Acc@1: 42.1875 (42.1875)Acc@5: 91.4062 (91.4062) +2024-12-26 14:35:29,683 - train: [ INFO] - Eval : 32 Time: 0.134 (0.421) Loss: 2.0097 (1.9348) Acc@1: 40.3846 (47.3118)Acc@5: 94.2308 (93.8172) +2024-12-26 14:35:32,306 - train: [ INFO] - Train: 33 [ 0/52 ( 0%)] Loss: 0.666367 (0.6664) Acc@1: 93.7500 (93.7500) Acc@5: 100.0000 (100.0000) Time: 1.732s, 73.89/s (1.732s, 73.89/s) LR: 4.740e-04 Data: 1.340 (1.340) +2024-12-26 14:35:50,198 - train: [ INFO] - Train: 33 [ 50/52 ( 98%)] Loss: 0.692049 (0.6792) Acc@1: 89.8438 (91.7969) Acc@5: 100.0000 (100.0000) Time: 0.366s, 349.74/s (0.383s, 333.84/s) LR: 4.740e-04 Data: 0.000 (0.027) +2024-12-26 14:35:50,550 - train: [ INFO] - Train: 33 [ 51/52 (100%)] Loss: 0.690724 (0.6830) Acc@1: 91.4062 (91.6667) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.93/s (0.383s, 334.40/s) LR: 4.740e-04 Data: 0.000 (0.027) +2024-12-26 14:35:53,035 - train: [ INFO] - Eval : 33 Time: 2.311 (2.311) Loss: 2.0733 (2.0733) Acc@1: 49.2188 (49.2188)Acc@5: 85.1562 (85.1562) +2024-12-26 14:35:53,711 - train: [ INFO] - Eval : 33 Time: 0.130 (0.498) Loss: 2.0151 (1.9576) Acc@1: 56.7308 (53.3602)Acc@5: 86.5385 (88.7097) +2024-12-26 14:35:56,182 - train: [ INFO] - Train: 34 [ 0/52 ( 0%)] Loss: 0.615536 (0.6155) Acc@1: 93.7500 (93.7500) Acc@5: 100.0000 (100.0000) Time: 1.719s, 74.45/s (1.719s, 74.45/s) LR: 4.656e-04 Data: 1.336 (1.336) +2024-12-26 14:36:14,162 - train: [ INFO] - Train: 34 [ 50/52 ( 98%)] Loss: 0.715200 (0.6654) Acc@1: 89.0625 (91.4062) Acc@5: 99.2188 (99.6094) Time: 0.348s, 367.37/s (0.385s, 332.60/s) LR: 4.656e-04 Data: 0.000 (0.028) +2024-12-26 14:36:14,515 - train: [ INFO] - Train: 34 [ 51/52 (100%)] Loss: 0.703392 (0.6780) Acc@1: 90.6250 (91.1458) Acc@5: 100.0000 (99.7396) Time: 0.350s, 365.66/s (0.384s, 333.18/s) LR: 4.656e-04 Data: 0.000 (0.027) +2024-12-26 14:36:16,315 - train: [ INFO] - Eval : 34 Time: 1.642 (1.642) Loss: 1.1158 (1.1158) Acc@1: 58.5938 (58.5938)Acc@5: 98.4375 (98.4375) +2024-12-26 14:36:17,324 - train: [ INFO] - Eval : 34 Time: 0.117 (0.442) Loss: 1.2286 (1.1790) Acc@1: 53.8462 (57.1237)Acc@5: 97.1154 (97.3118) +2024-12-26 14:36:20,814 - train: [ INFO] - Train: 35 [ 0/52 ( 0%)] Loss: 0.590664 (0.5907) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 2.622s, 48.82/s (2.622s, 48.82/s) LR: 4.571e-04 Data: 2.195 (2.195) +2024-12-26 14:36:38,832 - train: [ INFO] - Train: 35 [ 50/52 ( 98%)] Loss: 0.682362 (0.6365) Acc@1: 87.5000 (91.7969) Acc@5: 100.0000 (100.0000) Time: 0.352s, 363.97/s (0.404s, 316.99/s) LR: 4.571e-04 Data: 0.000 (0.044) +2024-12-26 14:36:39,199 - train: [ INFO] - Train: 35 [ 51/52 (100%)] Loss: 0.684602 (0.6525) Acc@1: 91.4062 (91.6667) Acc@5: 100.0000 (100.0000) Time: 0.360s, 355.39/s (0.403s, 317.65/s) LR: 4.571e-04 Data: 0.000 (0.043) +2024-12-26 14:36:40,572 - train: [ INFO] - Eval : 35 Time: 1.226 (1.226) Loss: 1.1431 (1.1431) Acc@1: 61.7188 (61.7188)Acc@5: 94.5312 (94.5312) +2024-12-26 14:36:41,234 - train: [ INFO] - Eval : 35 Time: 0.125 (0.315) Loss: 1.5215 (1.4377) Acc@1: 50.9615 (52.6882)Acc@5: 93.2692 (95.4301) +2024-12-26 14:36:43,820 - train: [ INFO] - Train: 36 [ 0/52 ( 0%)] Loss: 0.604867 (0.6049) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.888s, 67.79/s (1.888s, 67.79/s) LR: 4.484e-04 Data: 1.503 (1.503) +2024-12-26 14:37:01,719 - train: [ INFO] - Train: 36 [ 50/52 ( 98%)] Loss: 0.668793 (0.6368) Acc@1: 88.2812 (92.5781) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.64/s (0.387s, 330.69/s) LR: 4.484e-04 Data: 0.000 (0.031) +2024-12-26 14:37:02,080 - train: [ INFO] - Train: 36 [ 51/52 (100%)] Loss: 0.635708 (0.6365) Acc@1: 92.9688 (92.7083) Acc@5: 100.0000 (100.0000) Time: 0.357s, 358.20/s (0.387s, 331.18/s) LR: 4.484e-04 Data: 0.000 (0.030) +2024-12-26 14:37:03,743 - train: [ INFO] - Eval : 36 Time: 1.504 (1.504) Loss: 1.3677 (1.3677) Acc@1: 48.4375 (48.4375)Acc@5: 100.0000 (100.0000) +2024-12-26 14:37:04,407 - train: [ INFO] - Eval : 36 Time: 0.124 (0.362) Loss: 1.3805 (1.4628) Acc@1: 48.0769 (49.0591)Acc@5: 98.0769 (98.3871) +2024-12-26 14:37:06,721 - train: [ INFO] - Train: 37 [ 0/52 ( 0%)] Loss: 0.629323 (0.6293) Acc@1: 91.4062 (91.4062) Acc@5: 100.0000 (100.0000) Time: 1.525s, 83.96/s (1.525s, 83.96/s) LR: 4.396e-04 Data: 1.106 (1.106) +2024-12-26 14:37:24,605 - train: [ INFO] - Train: 37 [ 50/52 ( 98%)] Loss: 0.677463 (0.6534) Acc@1: 91.4062 (91.4062) Acc@5: 100.0000 (100.0000) Time: 0.344s, 371.81/s (0.380s, 336.94/s) LR: 4.396e-04 Data: 0.000 (0.023) +2024-12-26 14:37:24,983 - train: [ INFO] - Train: 37 [ 51/52 (100%)] Loss: 0.642068 (0.6496) Acc@1: 92.1875 (91.6667) Acc@5: 100.0000 (100.0000) Time: 0.364s, 351.41/s (0.380s, 337.21/s) LR: 4.396e-04 Data: 0.000 (0.022) +2024-12-26 14:37:26,890 - train: [ INFO] - Eval : 37 Time: 1.742 (1.742) Loss: 1.2686 (1.2686) Acc@1: 53.9062 (53.9062)Acc@5: 100.0000 (100.0000) +2024-12-26 14:37:27,621 - train: [ INFO] - Eval : 37 Time: 0.123 (0.412) Loss: 1.2068 (1.2469) Acc@1: 62.5000 (56.9892)Acc@5: 99.0385 (98.9247) +2024-12-26 14:37:30,133 - train: [ INFO] - Train: 38 [ 0/52 ( 0%)] Loss: 0.629284 (0.6293) Acc@1: 93.7500 (93.7500) Acc@5: 100.0000 (100.0000) Time: 1.679s, 76.23/s (1.679s, 76.23/s) LR: 4.307e-04 Data: 1.285 (1.285) +2024-12-26 14:37:48,091 - train: [ INFO] - Train: 38 [ 50/52 ( 98%)] Loss: 0.646635 (0.6380) Acc@1: 94.5312 (94.1406) Acc@5: 100.0000 (100.0000) Time: 0.358s, 357.29/s (0.383s, 333.88/s) LR: 4.307e-04 Data: 0.000 (0.026) +2024-12-26 14:37:48,444 - train: [ INFO] - Train: 38 [ 51/52 (100%)] Loss: 0.606017 (0.6273) Acc@1: 95.3125 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.347s, 369.18/s (0.383s, 334.49/s) LR: 4.307e-04 Data: 0.000 (0.026) +2024-12-26 14:37:50,326 - train: [ INFO] - Eval : 38 Time: 1.720 (1.720) Loss: 1.2907 (1.2907) Acc@1: 56.2500 (56.2500)Acc@5: 98.4375 (98.4375) +2024-12-26 14:37:51,019 - train: [ INFO] - Eval : 38 Time: 0.126 (0.402) Loss: 1.2324 (1.2209) Acc@1: 56.7308 (55.5108)Acc@5: 99.0385 (98.6559) +2024-12-26 14:37:53,827 - train: [ INFO] - Train: 39 [ 0/52 ( 0%)] Loss: 0.637600 (0.6376) Acc@1: 92.9688 (92.9688) Acc@5: 100.0000 (100.0000) Time: 2.067s, 61.92/s (2.067s, 61.92/s) LR: 4.217e-04 Data: 1.656 (1.656) +2024-12-26 14:38:12,019 - train: [ INFO] - Train: 39 [ 50/52 ( 98%)] Loss: 0.633950 (0.6358) Acc@1: 96.0938 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.390s, 328.13/s (0.396s, 323.29/s) LR: 4.217e-04 Data: 0.000 (0.034) +2024-12-26 14:38:12,386 - train: [ INFO] - Train: 39 [ 51/52 (100%)] Loss: 0.697376 (0.6563) Acc@1: 89.0625 (92.7083) Acc@5: 100.0000 (100.0000) Time: 0.363s, 352.51/s (0.395s, 323.81/s) LR: 4.217e-04 Data: 0.000 (0.033) +2024-12-26 14:38:14,392 - train: [ INFO] - Eval : 39 Time: 1.854 (1.854) Loss: 1.1173 (1.1173) Acc@1: 61.7188 (61.7188)Acc@5: 97.6562 (97.6562) +2024-12-26 14:38:15,082 - train: [ INFO] - Eval : 39 Time: 0.124 (0.424) Loss: 1.2412 (1.1766) Acc@1: 52.8846 (57.6613)Acc@5: 96.1538 (97.4462) +2024-12-26 14:38:18,234 - train: [ INFO] - Train: 40 [ 0/52 ( 0%)] Loss: 0.576476 (0.5765) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.802s, 71.03/s (1.802s, 71.03/s) LR: 4.125e-04 Data: 1.378 (1.378) +2024-12-26 14:38:36,278 - train: [ INFO] - Train: 40 [ 50/52 ( 98%)] Loss: 0.603570 (0.5900) Acc@1: 95.3125 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.391s, 327.35/s (0.388s, 329.54/s) LR: 4.125e-04 Data: 0.000 (0.028) +2024-12-26 14:38:36,641 - train: [ INFO] - Train: 40 [ 51/52 (100%)] Loss: 0.585945 (0.5887) Acc@1: 95.3125 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.360s, 355.72/s (0.388s, 330.00/s) LR: 4.125e-04 Data: 0.000 (0.028) +2024-12-26 14:38:39,199 - train: [ INFO] - Eval : 40 Time: 2.412 (2.412) Loss: 1.0598 (1.0598) Acc@1: 59.3750 (59.3750)Acc@5: 97.6562 (97.6562) +2024-12-26 14:38:39,899 - train: [ INFO] - Eval : 40 Time: 0.124 (0.519) Loss: 0.9008 (1.1245) Acc@1: 66.3462 (59.9462)Acc@5: 98.0769 (97.7151) +2024-12-26 14:38:40,905 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-40.pth.tar', 59.946236477103284) + +2024-12-26 14:38:43,294 - train: [ INFO] - Train: 41 [ 0/52 ( 0%)] Loss: 0.625132 (0.6251) Acc@1: 92.9688 (92.9688) Acc@5: 100.0000 (100.0000) Time: 2.347s, 54.53/s (2.347s, 54.53/s) LR: 4.033e-04 Data: 1.933 (1.933) +2024-12-26 14:39:01,225 - train: [ INFO] - Train: 41 [ 50/52 ( 98%)] Loss: 0.631196 (0.6282) Acc@1: 94.5312 (93.7500) Acc@5: 100.0000 (100.0000) Time: 0.360s, 355.60/s (0.396s, 323.12/s) LR: 4.033e-04 Data: 0.000 (0.039) +2024-12-26 14:39:01,584 - train: [ INFO] - Train: 41 [ 51/52 (100%)] Loss: 0.616714 (0.6243) Acc@1: 96.8750 (94.7917) Acc@5: 100.0000 (100.0000) Time: 0.355s, 360.22/s (0.395s, 323.76/s) LR: 4.033e-04 Data: 0.000 (0.038) +2024-12-26 14:39:02,914 - train: [ INFO] - Eval : 41 Time: 1.180 (1.180) Loss: 1.5552 (1.5552) Acc@1: 48.4375 (48.4375)Acc@5: 95.3125 (95.3125) +2024-12-26 14:39:03,590 - train: [ INFO] - Eval : 41 Time: 0.138 (0.310) Loss: 1.2921 (1.4174) Acc@1: 60.5769 (52.8226)Acc@5: 97.1154 (97.7151) +2024-12-26 14:39:06,821 - train: [ INFO] - Train: 42 [ 0/52 ( 0%)] Loss: 0.629521 (0.6295) Acc@1: 92.9688 (92.9688) Acc@5: 100.0000 (100.0000) Time: 2.495s, 51.30/s (2.495s, 51.30/s) LR: 3.940e-04 Data: 2.112 (2.112) +2024-12-26 14:39:24,770 - train: [ INFO] - Train: 42 [ 50/52 ( 98%)] Loss: 0.567445 (0.5985) Acc@1: 97.6562 (95.3125) Acc@5: 100.0000 (100.0000) Time: 0.351s, 364.67/s (0.400s, 319.84/s) LR: 3.940e-04 Data: 0.000 (0.042) +2024-12-26 14:39:25,120 - train: [ INFO] - Train: 42 [ 51/52 (100%)] Loss: 0.643656 (0.6135) Acc@1: 91.4062 (94.0104) Acc@5: 100.0000 (100.0000) Time: 0.347s, 368.64/s (0.399s, 320.66/s) LR: 3.940e-04 Data: 0.000 (0.042) +2024-12-26 14:39:26,504 - train: [ INFO] - Eval : 42 Time: 1.224 (1.224) Loss: 1.5132 (1.5132) Acc@1: 50.7812 (50.7812)Acc@5: 98.4375 (98.4375) +2024-12-26 14:39:27,197 - train: [ INFO] - Eval : 42 Time: 0.126 (0.320) Loss: 1.1297 (1.4360) Acc@1: 61.5385 (55.9140)Acc@5: 100.0000 (97.0430) +2024-12-26 14:39:29,307 - train: [ INFO] - Train: 43 [ 0/52 ( 0%)] Loss: 0.635606 (0.6356) Acc@1: 93.7500 (93.7500) Acc@5: 100.0000 (100.0000) Time: 1.376s, 93.05/s (1.376s, 93.05/s) LR: 3.846e-04 Data: 1.010 (1.010) +2024-12-26 14:39:47,202 - train: [ INFO] - Train: 43 [ 50/52 ( 98%)] Loss: 0.607853 (0.6217) Acc@1: 95.3125 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.353s, 362.33/s (0.377s, 339.81/s) LR: 3.846e-04 Data: 0.000 (0.021) +2024-12-26 14:39:47,564 - train: [ INFO] - Train: 43 [ 51/52 (100%)] Loss: 0.582698 (0.6087) Acc@1: 96.0938 (95.0521) Acc@5: 100.0000 (100.0000) Time: 0.354s, 361.95/s (0.376s, 340.21/s) LR: 3.846e-04 Data: 0.000 (0.020) +2024-12-26 14:39:49,089 - train: [ INFO] - Eval : 43 Time: 1.370 (1.370) Loss: 1.9959 (1.9959) Acc@1: 44.5312 (44.5312)Acc@5: 98.4375 (98.4375) +2024-12-26 14:39:49,778 - train: [ INFO] - Eval : 43 Time: 0.130 (0.343) Loss: 1.9812 (1.8447) Acc@1: 35.5769 (44.0860)Acc@5: 99.0385 (99.1935) +2024-12-26 14:39:51,975 - train: [ INFO] - Train: 44 [ 0/52 ( 0%)] Loss: 0.602264 (0.6023) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 1.482s, 86.37/s (1.482s, 86.37/s) LR: 3.751e-04 Data: 1.059 (1.059) +2024-12-26 14:40:09,890 - train: [ INFO] - Train: 44 [ 50/52 ( 98%)] Loss: 0.591564 (0.5969) Acc@1: 95.3125 (94.9219) Acc@5: 100.0000 (100.0000) Time: 0.347s, 368.96/s (0.379s, 337.61/s) LR: 3.751e-04 Data: 0.000 (0.022) +2024-12-26 14:40:10,242 - train: [ INFO] - Train: 44 [ 51/52 (100%)] Loss: 0.642702 (0.6122) Acc@1: 91.4062 (93.7500) Acc@5: 100.0000 (100.0000) Time: 0.349s, 366.28/s (0.379s, 338.12/s) LR: 3.751e-04 Data: 0.000 (0.021) +2024-12-26 14:40:12,066 - train: [ INFO] - Eval : 44 Time: 1.607 (1.607) Loss: 1.2256 (1.2256) Acc@1: 53.1250 (53.1250)Acc@5: 99.2188 (99.2188) +2024-12-26 14:40:12,765 - train: [ INFO] - Eval : 44 Time: 0.134 (0.384) Loss: 1.3445 (1.3251) Acc@1: 55.7692 (53.6290)Acc@5: 98.0769 (97.8495) +2024-12-26 14:40:14,938 - train: [ INFO] - Train: 45 [ 0/52 ( 0%)] Loss: 0.586781 (0.5868) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 1.430s, 89.53/s (1.430s, 89.53/s) LR: 3.656e-04 Data: 1.030 (1.030) +2024-12-26 14:40:32,935 - train: [ INFO] - Train: 45 [ 50/52 ( 98%)] Loss: 0.567820 (0.5773) Acc@1: 96.8750 (95.7031) Acc@5: 100.0000 (100.0000) Time: 0.357s, 358.96/s (0.380s, 336.98/s) LR: 3.656e-04 Data: 0.000 (0.021) +2024-12-26 14:40:33,291 - train: [ INFO] - Train: 45 [ 51/52 (100%)] Loss: 0.639351 (0.5980) Acc@1: 94.5312 (95.3125) Acc@5: 100.0000 (100.0000) Time: 0.353s, 362.21/s (0.379s, 337.43/s) LR: 3.656e-04 Data: 0.000 (0.021) +2024-12-26 14:40:35,764 - train: [ INFO] - Eval : 45 Time: 2.324 (2.324) Loss: 1.1199 (1.1199) Acc@1: 56.2500 (56.2500)Acc@5: 100.0000 (100.0000) +2024-12-26 14:40:36,451 - train: [ INFO] - Eval : 45 Time: 0.130 (0.502) Loss: 1.1387 (1.1272) Acc@1: 57.6923 (58.8710)Acc@5: 99.0385 (98.6559) +2024-12-26 14:40:38,715 - train: [ INFO] - Train: 46 [ 0/52 ( 0%)] Loss: 0.548635 (0.5486) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.505s, 85.04/s (1.505s, 85.04/s) LR: 3.560e-04 Data: 1.097 (1.097) +2024-12-26 14:40:56,615 - train: [ INFO] - Train: 46 [ 50/52 ( 98%)] Loss: 0.569500 (0.5591) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.360s, 355.64/s (0.380s, 337.14/s) LR: 3.560e-04 Data: 0.000 (0.023) +2024-12-26 14:40:57,016 - train: [ INFO] - Train: 46 [ 51/52 (100%)] Loss: 0.572160 (0.5634) Acc@1: 96.8750 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.97/s (0.379s, 337.65/s) LR: 3.560e-04 Data: 0.000 (0.022) +2024-12-26 14:40:59,341 - train: [ INFO] - Eval : 46 Time: 2.188 (2.188) Loss: 1.1735 (1.1735) Acc@1: 59.3750 (59.3750)Acc@5: 98.4375 (98.4375) +2024-12-26 14:41:00,026 - train: [ INFO] - Eval : 46 Time: 0.124 (0.479) Loss: 1.1196 (1.2546) Acc@1: 60.5769 (57.9301)Acc@5: 99.0385 (98.6559) +2024-12-26 14:41:02,913 - train: [ INFO] - Train: 47 [ 0/52 ( 0%)] Loss: 0.529079 (0.5291) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.134s, 59.98/s (2.134s, 59.98/s) LR: 3.464e-04 Data: 1.729 (1.729) +2024-12-26 14:41:20,774 - train: [ INFO] - Train: 47 [ 50/52 ( 98%)] Loss: 0.583452 (0.5563) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.348s, 367.37/s (0.391s, 327.53/s) LR: 3.464e-04 Data: 0.000 (0.035) +2024-12-26 14:41:21,134 - train: [ INFO] - Train: 47 [ 51/52 (100%)] Loss: 0.613589 (0.5754) Acc@1: 95.3125 (97.9167) Acc@5: 100.0000 (100.0000) Time: 0.357s, 359.01/s (0.390s, 328.08/s) LR: 3.464e-04 Data: 0.000 (0.034) +2024-12-26 14:41:22,647 - train: [ INFO] - Eval : 47 Time: 1.360 (1.360) Loss: 1.2098 (1.2098) Acc@1: 60.9375 (60.9375)Acc@5: 95.3125 (95.3125) +2024-12-26 14:41:23,305 - train: [ INFO] - Eval : 47 Time: 0.125 (0.336) Loss: 1.3356 (1.2363) Acc@1: 53.8462 (58.6022)Acc@5: 96.1538 (96.7742) +2024-12-26 14:41:27,715 - train: [ INFO] - Train: 48 [ 0/52 ( 0%)] Loss: 0.555529 (0.5555) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.879s, 68.12/s (1.879s, 68.12/s) LR: 3.368e-04 Data: 1.455 (1.455) +2024-12-26 14:41:45,678 - train: [ INFO] - Train: 48 [ 50/52 ( 98%)] Loss: 0.584515 (0.5700) Acc@1: 94.5312 (95.7031) Acc@5: 100.0000 (100.0000) Time: 0.359s, 356.51/s (0.388s, 329.63/s) LR: 3.368e-04 Data: 0.000 (0.030) +2024-12-26 14:41:46,047 - train: [ INFO] - Train: 48 [ 51/52 (100%)] Loss: 0.607023 (0.5824) Acc@1: 94.5312 (95.3125) Acc@5: 100.0000 (100.0000) Time: 0.366s, 349.28/s (0.388s, 329.99/s) LR: 3.368e-04 Data: 0.000 (0.029) +2024-12-26 14:41:47,432 - train: [ INFO] - Eval : 48 Time: 1.165 (1.165) Loss: 1.3804 (1.3804) Acc@1: 53.9062 (53.9062)Acc@5: 99.2188 (99.2188) +2024-12-26 14:41:48,097 - train: [ INFO] - Eval : 48 Time: 0.142 (0.305) Loss: 1.3808 (1.3334) Acc@1: 55.7692 (56.9892)Acc@5: 97.1154 (98.1183) +2024-12-26 14:41:50,295 - train: [ INFO] - Train: 49 [ 0/52 ( 0%)] Loss: 0.562849 (0.5628) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.487s, 86.10/s (1.487s, 86.10/s) LR: 3.272e-04 Data: 1.081 (1.081) +2024-12-26 14:42:08,239 - train: [ INFO] - Train: 49 [ 50/52 ( 98%)] Loss: 0.557363 (0.5601) Acc@1: 97.6562 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.355s, 360.75/s (0.380s, 336.55/s) LR: 3.272e-04 Data: 0.000 (0.022) +2024-12-26 14:42:08,596 - train: [ INFO] - Train: 49 [ 51/52 (100%)] Loss: 0.587625 (0.5693) Acc@1: 96.0938 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.354s, 361.44/s (0.380s, 336.99/s) LR: 3.272e-04 Data: 0.000 (0.022) +2024-12-26 14:42:09,936 - train: [ INFO] - Eval : 49 Time: 1.176 (1.176) Loss: 1.5997 (1.5997) Acc@1: 48.4375 (48.4375)Acc@5: 98.4375 (98.4375) +2024-12-26 14:42:10,619 - train: [ INFO] - Eval : 49 Time: 0.146 (0.310) Loss: 1.7742 (1.6547) Acc@1: 46.1538 (47.4462)Acc@5: 98.0769 (97.3118) +2024-12-26 14:42:13,107 - train: [ INFO] - Train: 50 [ 0/52 ( 0%)] Loss: 0.571369 (0.5714) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.530s, 83.65/s (1.530s, 83.65/s) LR: 3.175e-04 Data: 1.116 (1.116) +2024-12-26 14:42:31,048 - train: [ INFO] - Train: 50 [ 50/52 ( 98%)] Loss: 0.580582 (0.5760) Acc@1: 97.6562 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.351s, 364.41/s (0.381s, 336.16/s) LR: 3.175e-04 Data: 0.000 (0.023) +2024-12-26 14:42:31,404 - train: [ INFO] - Train: 50 [ 51/52 (100%)] Loss: 0.568167 (0.5734) Acc@1: 98.4375 (97.3958) Acc@5: 100.0000 (100.0000) Time: 0.353s, 362.48/s (0.380s, 336.63/s) LR: 3.175e-04 Data: 0.000 (0.023) +2024-12-26 14:42:32,819 - train: [ INFO] - Eval : 50 Time: 1.181 (1.181) Loss: 1.4578 (1.4578) Acc@1: 54.6875 (54.6875)Acc@5: 96.8750 (96.8750) +2024-12-26 14:42:33,502 - train: [ INFO] - Eval : 50 Time: 0.127 (0.311) Loss: 1.3620 (1.3186) Acc@1: 61.5385 (58.1989)Acc@5: 95.1923 (95.5645) +2024-12-26 14:42:35,678 - train: [ INFO] - Train: 51 [ 0/52 ( 0%)] Loss: 0.528074 (0.5281) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.425s, 89.85/s (1.425s, 89.85/s) LR: 3.078e-04 Data: 1.026 (1.026) +2024-12-26 14:42:53,757 - train: [ INFO] - Train: 51 [ 50/52 ( 98%)] Loss: 0.559853 (0.5440) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.46/s (0.382s, 335.50/s) LR: 3.078e-04 Data: 0.000 (0.021) +2024-12-26 14:42:54,106 - train: [ INFO] - Train: 51 [ 51/52 (100%)] Loss: 0.573438 (0.5538) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.346s, 369.91/s (0.381s, 336.10/s) LR: 3.078e-04 Data: 0.000 (0.021) +2024-12-26 14:42:55,579 - train: [ INFO] - Eval : 51 Time: 1.328 (1.328) Loss: 0.9328 (0.9328) Acc@1: 60.1562 (60.1562)Acc@5: 100.0000 (100.0000) +2024-12-26 14:42:56,243 - train: [ INFO] - Eval : 51 Time: 0.127 (0.332) Loss: 1.1581 (1.1598) Acc@1: 57.6923 (57.3925)Acc@5: 99.0385 (99.0591) +2024-12-26 14:42:58,386 - train: [ INFO] - Train: 52 [ 0/52 ( 0%)] Loss: 0.541103 (0.5411) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.350s, 94.81/s (1.350s, 94.81/s) LR: 2.982e-04 Data: 0.965 (0.965) +2024-12-26 14:43:16,341 - train: [ INFO] - Train: 52 [ 50/52 ( 98%)] Loss: 0.561149 (0.5511) Acc@1: 96.0938 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.43/s (0.377s, 339.22/s) LR: 2.982e-04 Data: 0.000 (0.020) +2024-12-26 14:43:16,692 - train: [ INFO] - Train: 52 [ 51/52 (100%)] Loss: 0.553464 (0.5519) Acc@1: 96.8750 (97.3958) Acc@5: 100.0000 (100.0000) Time: 0.348s, 367.49/s (0.377s, 339.72/s) LR: 2.982e-04 Data: 0.000 (0.020) +2024-12-26 14:43:19,640 - train: [ INFO] - Eval : 52 Time: 2.749 (2.749) Loss: 1.3350 (1.3350) Acc@1: 62.5000 (62.5000)Acc@5: 97.6562 (97.6562) +2024-12-26 14:43:20,301 - train: [ INFO] - Eval : 52 Time: 0.123 (0.568) Loss: 1.1431 (1.2085) Acc@1: 63.4615 (60.6183)Acc@5: 98.0769 (97.8495) +2024-12-26 14:43:21,103 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-52.pth.tar', 60.61827981600197) + +2024-12-26 14:43:22,928 - train: [ INFO] - Train: 53 [ 0/52 ( 0%)] Loss: 0.554269 (0.5543) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.809s, 70.74/s (1.809s, 70.74/s) LR: 2.886e-04 Data: 1.381 (1.381) +2024-12-26 14:43:40,888 - train: [ INFO] - Train: 53 [ 50/52 ( 98%)] Loss: 0.561098 (0.5577) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.346s, 370.05/s (0.386s, 331.22/s) LR: 2.886e-04 Data: 0.000 (0.028) +2024-12-26 14:43:41,247 - train: [ INFO] - Train: 53 [ 51/52 (100%)] Loss: 0.528741 (0.5480) Acc@1: 99.2188 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.65/s (0.386s, 331.82/s) LR: 2.886e-04 Data: 0.000 (0.028) +2024-12-26 14:43:42,654 - train: [ INFO] - Eval : 53 Time: 1.258 (1.258) Loss: 1.2490 (1.2490) Acc@1: 59.3750 (59.3750)Acc@5: 98.4375 (98.4375) +2024-12-26 14:43:43,345 - train: [ INFO] - Eval : 53 Time: 0.144 (0.325) Loss: 1.2176 (1.2915) Acc@1: 54.8077 (56.1828)Acc@5: 98.0769 (97.5806) +2024-12-26 14:43:45,458 - train: [ INFO] - Train: 54 [ 0/52 ( 0%)] Loss: 0.525135 (0.5251) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.402s, 91.32/s (1.402s, 91.32/s) LR: 2.790e-04 Data: 1.044 (1.044) +2024-12-26 14:44:03,526 - train: [ INFO] - Train: 54 [ 50/52 ( 98%)] Loss: 0.540557 (0.5328) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.41/s (0.380s, 336.65/s) LR: 2.790e-04 Data: 0.000 (0.022) +2024-12-26 14:44:03,892 - train: [ INFO] - Train: 54 [ 51/52 (100%)] Loss: 0.602299 (0.5560) Acc@1: 94.5312 (97.9167) Acc@5: 100.0000 (100.0000) Time: 0.356s, 359.51/s (0.380s, 337.06/s) LR: 2.790e-04 Data: 0.000 (0.021) +2024-12-26 14:44:05,330 - train: [ INFO] - Eval : 54 Time: 1.302 (1.302) Loss: 1.1040 (1.1040) Acc@1: 60.1562 (60.1562)Acc@5: 100.0000 (100.0000) +2024-12-26 14:44:06,011 - train: [ INFO] - Eval : 54 Time: 0.145 (0.331) Loss: 1.0249 (1.2177) Acc@1: 59.6154 (56.8548)Acc@5: 100.0000 (98.3871) +2024-12-26 14:44:08,199 - train: [ INFO] - Train: 55 [ 0/52 ( 0%)] Loss: 0.526935 (0.5269) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.445s, 88.57/s (1.445s, 88.57/s) LR: 2.694e-04 Data: 1.044 (1.044) +2024-12-26 14:44:26,091 - train: [ INFO] - Train: 55 [ 50/52 ( 98%)] Loss: 0.589847 (0.5584) Acc@1: 95.3125 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.351s, 364.95/s (0.378s, 338.19/s) LR: 2.694e-04 Data: 0.000 (0.021) +2024-12-26 14:44:26,445 - train: [ INFO] - Train: 55 [ 51/52 (100%)] Loss: 0.544204 (0.5537) Acc@1: 98.4375 (97.9167) Acc@5: 100.0000 (100.0000) Time: 0.351s, 364.22/s (0.378s, 338.65/s) LR: 2.694e-04 Data: 0.000 (0.021) +2024-12-26 14:44:28,290 - train: [ INFO] - Eval : 55 Time: 1.687 (1.687) Loss: 1.1484 (1.1484) Acc@1: 60.9375 (60.9375)Acc@5: 97.6562 (97.6562) +2024-12-26 14:44:28,949 - train: [ INFO] - Eval : 55 Time: 0.126 (0.391) Loss: 1.2312 (1.2209) Acc@1: 59.6154 (59.0054)Acc@5: 97.1154 (97.3118) +2024-12-26 14:44:31,704 - train: [ INFO] - Train: 56 [ 0/52 ( 0%)] Loss: 0.521836 (0.5218) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.997s, 64.10/s (1.997s, 64.10/s) LR: 2.599e-04 Data: 1.597 (1.597) +2024-12-26 14:44:49,623 - train: [ INFO] - Train: 56 [ 50/52 ( 98%)] Loss: 0.514468 (0.5182) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.351s, 365.12/s (0.390s, 328.41/s) LR: 2.599e-04 Data: 0.000 (0.032) +2024-12-26 14:44:49,982 - train: [ INFO] - Train: 56 [ 51/52 (100%)] Loss: 0.547738 (0.5280) Acc@1: 98.4375 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.357s, 358.85/s (0.389s, 328.95/s) LR: 2.599e-04 Data: 0.000 (0.032) +2024-12-26 14:44:51,565 - train: [ INFO] - Eval : 56 Time: 1.451 (1.451) Loss: 1.2335 (1.2335) Acc@1: 58.5938 (58.5938)Acc@5: 96.8750 (96.8750) +2024-12-26 14:44:52,489 - train: [ INFO] - Eval : 56 Time: 0.146 (0.396) Loss: 1.1827 (1.2642) Acc@1: 58.6538 (59.2742)Acc@5: 96.1538 (95.8333) +2024-12-26 14:44:55,035 - train: [ INFO] - Train: 57 [ 0/52 ( 0%)] Loss: 0.529336 (0.5293) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.760s, 72.71/s (1.760s, 72.71/s) LR: 2.504e-04 Data: 1.353 (1.353) +2024-12-26 14:45:12,975 - train: [ INFO] - Train: 57 [ 50/52 ( 98%)] Loss: 0.521485 (0.5254) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.352s, 364.15/s (0.385s, 332.36/s) LR: 2.504e-04 Data: 0.000 (0.028) +2024-12-26 14:45:13,332 - train: [ INFO] - Train: 57 [ 51/52 (100%)] Loss: 0.527961 (0.5263) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.355s, 360.74/s (0.385s, 332.86/s) LR: 2.504e-04 Data: 0.000 (0.027) +2024-12-26 14:45:16,310 - train: [ INFO] - Eval : 57 Time: 2.778 (2.778) Loss: 1.2358 (1.2358) Acc@1: 59.3750 (59.3750)Acc@5: 96.0938 (96.0938) +2024-12-26 14:45:16,990 - train: [ INFO] - Eval : 57 Time: 0.121 (0.576) Loss: 1.0166 (1.1538) Acc@1: 66.3462 (60.4839)Acc@5: 98.0769 (97.8495) +2024-12-26 14:45:20,104 - train: [ INFO] - Train: 58 [ 0/52 ( 0%)] Loss: 0.528849 (0.5288) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.927s, 66.44/s (1.927s, 66.44/s) LR: 2.410e-04 Data: 1.531 (1.531) +2024-12-26 14:45:38,051 - train: [ INFO] - Train: 58 [ 50/52 ( 98%)] Loss: 0.537667 (0.5333) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.87/s (0.388s, 329.98/s) LR: 2.410e-04 Data: 0.000 (0.031) +2024-12-26 14:45:38,505 - train: [ INFO] - Train: 58 [ 51/52 (100%)] Loss: 0.535022 (0.5338) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.369s, 346.86/s (0.388s, 330.29/s) LR: 2.410e-04 Data: 0.001 (0.031) +2024-12-26 14:45:40,647 - train: [ INFO] - Eval : 58 Time: 1.970 (1.970) Loss: 1.0294 (1.0294) Acc@1: 64.0625 (64.0625)Acc@5: 99.2188 (99.2188) +2024-12-26 14:45:41,296 - train: [ INFO] - Eval : 58 Time: 0.124 (0.436) Loss: 1.1239 (1.1307) Acc@1: 59.6154 (59.5430)Acc@5: 100.0000 (99.1935) +2024-12-26 14:45:44,507 - train: [ INFO] - Train: 59 [ 0/52 ( 0%)] Loss: 0.529179 (0.5292) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.286s, 55.98/s (2.286s, 55.98/s) LR: 2.317e-04 Data: 1.882 (1.882) +2024-12-26 14:46:02,258 - train: [ INFO] - Train: 59 [ 50/52 ( 98%)] Loss: 0.559361 (0.5443) Acc@1: 96.8750 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.349s, 367.13/s (0.392s, 326.34/s) LR: 2.317e-04 Data: 0.000 (0.038) +2024-12-26 14:46:02,607 - train: [ INFO] - Train: 59 [ 51/52 (100%)] Loss: 0.521499 (0.5367) Acc@1: 98.4375 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.347s, 369.03/s (0.391s, 327.07/s) LR: 2.317e-04 Data: 0.000 (0.037) +2024-12-26 14:46:04,025 - train: [ INFO] - Eval : 59 Time: 1.248 (1.248) Loss: 1.0196 (1.0196) Acc@1: 64.8438 (64.8438)Acc@5: 98.4375 (98.4375) +2024-12-26 14:46:04,699 - train: [ INFO] - Eval : 59 Time: 0.123 (0.320) Loss: 1.1945 (1.0769) Acc@1: 58.6538 (62.9032)Acc@5: 96.1538 (97.5806) +2024-12-26 14:46:05,496 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-59.pth.tar', 62.903225888488116) + +2024-12-26 14:46:06,968 - train: [ INFO] - Train: 60 [ 0/52 ( 0%)] Loss: 0.527249 (0.5272) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.455s, 87.97/s (1.455s, 87.97/s) LR: 2.225e-04 Data: 1.060 (1.060) +2024-12-26 14:46:24,912 - train: [ INFO] - Train: 60 [ 50/52 ( 98%)] Loss: 0.501456 (0.5144) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.353s, 362.21/s (0.379s, 337.74/s) LR: 2.225e-04 Data: 0.000 (0.022) +2024-12-26 14:46:25,277 - train: [ INFO] - Train: 60 [ 51/52 (100%)] Loss: 0.501905 (0.5102) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.358s, 357.89/s (0.379s, 338.10/s) LR: 2.225e-04 Data: 0.000 (0.021) +2024-12-26 14:46:27,211 - train: [ INFO] - Eval : 60 Time: 1.793 (1.793) Loss: 1.1485 (1.1485) Acc@1: 59.3750 (59.3750)Acc@5: 96.0938 (96.0938) +2024-12-26 14:46:27,910 - train: [ INFO] - Eval : 60 Time: 0.127 (0.415) Loss: 1.1101 (1.1434) Acc@1: 59.6154 (60.6183)Acc@5: 98.0769 (97.7151) +2024-12-26 14:46:29,984 - train: [ INFO] - Train: 61 [ 0/52 ( 0%)] Loss: 0.516418 (0.5164) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.374s, 93.17/s (1.374s, 93.17/s) LR: 2.133e-04 Data: 0.976 (0.976) +2024-12-26 14:46:47,912 - train: [ INFO] - Train: 61 [ 50/52 ( 98%)] Loss: 0.531969 (0.5242) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.354s, 361.13/s (0.378s, 338.83/s) LR: 2.133e-04 Data: 0.000 (0.020) +2024-12-26 14:46:48,270 - train: [ INFO] - Train: 61 [ 51/52 (100%)] Loss: 0.580749 (0.5430) Acc@1: 96.0938 (98.1771) Acc@5: 100.0000 (100.0000) Time: 0.355s, 361.03/s (0.377s, 339.23/s) LR: 2.133e-04 Data: 0.000 (0.020) +2024-12-26 14:46:49,858 - train: [ INFO] - Eval : 61 Time: 1.453 (1.453) Loss: 1.1821 (1.1821) Acc@1: 60.1562 (60.1562)Acc@5: 98.4375 (98.4375) +2024-12-26 14:46:50,533 - train: [ INFO] - Eval : 61 Time: 0.145 (0.355) Loss: 1.1270 (1.2069) Acc@1: 60.5769 (58.7366)Acc@5: 99.0385 (97.8495) +2024-12-26 14:46:53,405 - train: [ INFO] - Train: 62 [ 0/52 ( 0%)] Loss: 0.525288 (0.5253) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.828s, 70.02/s (1.828s, 70.02/s) LR: 2.043e-04 Data: 1.410 (1.410) +2024-12-26 14:47:11,440 - train: [ INFO] - Train: 62 [ 50/52 ( 98%)] Loss: 0.573231 (0.5493) Acc@1: 96.0938 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.362s, 353.36/s (0.389s, 329.42/s) LR: 2.043e-04 Data: 0.000 (0.029) +2024-12-26 14:47:11,805 - train: [ INFO] - Train: 62 [ 51/52 (100%)] Loss: 0.521075 (0.5399) Acc@1: 99.2188 (97.9167) Acc@5: 100.0000 (100.0000) Time: 0.350s, 366.10/s (0.388s, 330.06/s) LR: 2.043e-04 Data: 0.000 (0.028) +2024-12-26 14:47:13,299 - train: [ INFO] - Eval : 62 Time: 1.340 (1.340) Loss: 1.0653 (1.0653) Acc@1: 64.0625 (64.0625)Acc@5: 97.6562 (97.6562) +2024-12-26 14:47:13,998 - train: [ INFO] - Eval : 62 Time: 0.123 (0.340) Loss: 0.9840 (1.0691) Acc@1: 61.5385 (61.9624)Acc@5: 100.0000 (98.7903) +2024-12-26 14:47:16,175 - train: [ INFO] - Train: 63 [ 0/52 ( 0%)] Loss: 0.505621 (0.5056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.430s, 89.53/s (1.430s, 89.53/s) LR: 1.954e-04 Data: 1.028 (1.028) +2024-12-26 14:47:34,238 - train: [ INFO] - Train: 63 [ 50/52 ( 98%)] Loss: 0.540360 (0.5230) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.361s, 354.09/s (0.381s, 335.79/s) LR: 1.954e-04 Data: 0.000 (0.021) +2024-12-26 14:47:34,590 - train: [ INFO] - Train: 63 [ 51/52 (100%)] Loss: 0.525708 (0.5239) Acc@1: 98.4375 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.348s, 367.31/s (0.381s, 336.35/s) LR: 1.954e-04 Data: 0.000 (0.021) +2024-12-26 14:47:36,744 - train: [ INFO] - Eval : 63 Time: 2.013 (2.013) Loss: 1.2498 (1.2498) Acc@1: 55.4688 (55.4688)Acc@5: 97.6562 (97.6562) +2024-12-26 14:47:37,424 - train: [ INFO] - Eval : 63 Time: 0.122 (0.449) Loss: 1.4198 (1.2907) Acc@1: 52.8846 (55.1075)Acc@5: 96.1538 (98.1183) +2024-12-26 14:47:40,039 - train: [ INFO] - Train: 64 [ 0/52 ( 0%)] Loss: 0.535862 (0.5359) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.888s, 67.79/s (1.888s, 67.79/s) LR: 1.866e-04 Data: 1.469 (1.469) +2024-12-26 14:47:58,065 - train: [ INFO] - Train: 64 [ 50/52 ( 98%)] Loss: 0.509210 (0.5225) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.363s, 352.78/s (0.389s, 329.10/s) LR: 1.866e-04 Data: 0.000 (0.030) +2024-12-26 14:47:58,419 - train: [ INFO] - Train: 64 [ 51/52 (100%)] Loss: 0.508672 (0.5179) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.351s, 364.39/s (0.388s, 329.71/s) LR: 1.866e-04 Data: 0.000 (0.030) +2024-12-26 14:47:59,748 - train: [ INFO] - Eval : 64 Time: 1.152 (1.152) Loss: 1.1122 (1.1122) Acc@1: 62.5000 (62.5000)Acc@5: 97.6562 (97.6562) +2024-12-26 14:48:00,458 - train: [ INFO] - Eval : 64 Time: 0.133 (0.310) Loss: 1.1059 (1.1167) Acc@1: 60.5769 (61.6935)Acc@5: 96.1538 (97.8495) +2024-12-26 14:48:04,495 - train: [ INFO] - Train: 65 [ 0/52 ( 0%)] Loss: 0.497551 (0.4976) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.069s, 61.87/s (2.069s, 61.87/s) LR: 1.779e-04 Data: 1.666 (1.666) +2024-12-26 14:48:22,501 - train: [ INFO] - Train: 65 [ 50/52 ( 98%)] Loss: 0.511199 (0.5044) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.400s, 319.83/s (0.392s, 326.22/s) LR: 1.779e-04 Data: 0.000 (0.034) +2024-12-26 14:48:22,873 - train: [ INFO] - Train: 65 [ 51/52 (100%)] Loss: 0.528114 (0.5123) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.367s, 348.46/s (0.392s, 326.62/s) LR: 1.779e-04 Data: 0.000 (0.033) +2024-12-26 14:48:24,370 - train: [ INFO] - Eval : 65 Time: 1.280 (1.280) Loss: 1.1497 (1.1497) Acc@1: 52.3438 (52.3438)Acc@5: 99.2188 (99.2188) +2024-12-26 14:48:25,107 - train: [ INFO] - Eval : 65 Time: 0.148 (0.336) Loss: 1.2411 (1.1238) Acc@1: 54.8077 (58.3333)Acc@5: 98.0769 (98.6559) +2024-12-26 14:48:27,792 - train: [ INFO] - Train: 66 [ 0/52 ( 0%)] Loss: 0.510676 (0.5107) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.780s, 71.93/s (1.780s, 71.93/s) LR: 1.694e-04 Data: 1.386 (1.386) +2024-12-26 14:48:45,878 - train: [ INFO] - Train: 66 [ 50/52 ( 98%)] Loss: 0.503225 (0.5070) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.372s, 343.76/s (0.388s, 329.60/s) LR: 1.694e-04 Data: 0.000 (0.028) +2024-12-26 14:48:46,231 - train: [ INFO] - Train: 66 [ 51/52 (100%)] Loss: 0.541417 (0.5184) Acc@1: 96.8750 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.349s, 366.72/s (0.388s, 330.24/s) LR: 1.694e-04 Data: 0.000 (0.028) +2024-12-26 14:48:47,640 - train: [ INFO] - Eval : 66 Time: 1.279 (1.279) Loss: 0.9533 (0.9533) Acc@1: 68.7500 (68.7500)Acc@5: 99.2188 (99.2188) +2024-12-26 14:48:48,312 - train: [ INFO] - Eval : 66 Time: 0.123 (0.325) Loss: 1.0800 (1.0587) Acc@1: 57.6923 (62.2312)Acc@5: 97.1154 (98.9247) +2024-12-26 14:48:50,454 - train: [ INFO] - Train: 67 [ 0/52 ( 0%)] Loss: 0.527996 (0.5280) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.419s, 90.23/s (1.419s, 90.23/s) LR: 1.610e-04 Data: 1.028 (1.028) +2024-12-26 14:49:08,415 - train: [ INFO] - Train: 67 [ 50/52 ( 98%)] Loss: 0.529753 (0.5289) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.349s, 367.12/s (0.379s, 337.95/s) LR: 1.610e-04 Data: 0.000 (0.021) +2024-12-26 14:49:08,769 - train: [ INFO] - Train: 67 [ 51/52 (100%)] Loss: 0.502266 (0.5200) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.351s, 364.42/s (0.378s, 338.42/s) LR: 1.610e-04 Data: 0.000 (0.021) +2024-12-26 14:49:10,254 - train: [ INFO] - Eval : 67 Time: 1.340 (1.340) Loss: 1.0051 (1.0051) Acc@1: 61.7188 (61.7188)Acc@5: 98.4375 (98.4375) +2024-12-26 14:49:10,962 - train: [ INFO] - Eval : 67 Time: 0.161 (0.341) Loss: 1.1382 (1.1642) Acc@1: 57.6923 (59.1398)Acc@5: 99.0385 (97.9839) +2024-12-26 14:49:13,481 - train: [ INFO] - Train: 68 [ 0/52 ( 0%)] Loss: 0.509126 (0.5091) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.811s, 70.69/s (1.811s, 70.69/s) LR: 1.527e-04 Data: 1.407 (1.407) +2024-12-26 14:49:31,391 - train: [ INFO] - Train: 68 [ 50/52 ( 98%)] Loss: 0.497755 (0.5034) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.347s, 369.09/s (0.386s, 331.81/s) LR: 1.527e-04 Data: 0.000 (0.029) +2024-12-26 14:49:31,740 - train: [ INFO] - Train: 68 [ 51/52 (100%)] Loss: 0.524933 (0.5106) Acc@1: 98.4375 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.346s, 369.65/s (0.385s, 332.46/s) LR: 1.527e-04 Data: 0.000 (0.028) +2024-12-26 14:49:33,832 - train: [ INFO] - Eval : 68 Time: 1.943 (1.943) Loss: 1.0561 (1.0561) Acc@1: 60.1562 (60.1562)Acc@5: 98.4375 (98.4375) +2024-12-26 14:49:34,518 - train: [ INFO] - Eval : 68 Time: 0.128 (0.438) Loss: 1.1093 (1.0570) Acc@1: 64.4231 (61.6935)Acc@5: 98.0769 (98.6559) +2024-12-26 14:49:36,802 - train: [ INFO] - Train: 69 [ 0/52 ( 0%)] Loss: 0.523757 (0.5238) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.467s, 87.24/s (1.467s, 87.24/s) LR: 1.447e-04 Data: 1.067 (1.067) +2024-12-26 14:49:54,710 - train: [ INFO] - Train: 69 [ 50/52 ( 98%)] Loss: 0.518857 (0.5213) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.360s, 355.26/s (0.379s, 337.74/s) LR: 1.447e-04 Data: 0.000 (0.022) +2024-12-26 14:49:55,067 - train: [ INFO] - Train: 69 [ 51/52 (100%)] Loss: 0.510618 (0.5177) Acc@1: 99.2188 (98.6979) Acc@5: 100.0000 (100.0000) Time: 0.353s, 362.34/s (0.378s, 338.18/s) LR: 1.447e-04 Data: 0.000 (0.022) +2024-12-26 14:49:57,340 - train: [ INFO] - Eval : 69 Time: 2.092 (2.092) Loss: 1.1538 (1.1538) Acc@1: 57.0312 (57.0312)Acc@5: 99.2188 (99.2188) +2024-12-26 14:49:58,007 - train: [ INFO] - Eval : 69 Time: 0.131 (0.460) Loss: 1.2765 (1.1632) Acc@1: 52.8846 (56.7204)Acc@5: 97.1154 (97.9839) +2024-12-26 14:50:00,955 - train: [ INFO] - Train: 70 [ 0/52 ( 0%)] Loss: 0.500799 (0.5008) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.685s, 75.98/s (1.685s, 75.98/s) LR: 1.368e-04 Data: 1.285 (1.285) +2024-12-26 14:50:18,827 - train: [ INFO] - Train: 70 [ 50/52 ( 98%)] Loss: 0.502712 (0.5018) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.351s, 364.66/s (0.382s, 334.89/s) LR: 1.368e-04 Data: 0.000 (0.026) +2024-12-26 14:50:19,179 - train: [ INFO] - Train: 70 [ 51/52 (100%)] Loss: 0.510726 (0.5047) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.347s, 368.61/s (0.382s, 335.48/s) LR: 1.368e-04 Data: 0.000 (0.026) +2024-12-26 14:50:20,627 - train: [ INFO] - Eval : 70 Time: 1.272 (1.272) Loss: 0.9308 (0.9308) Acc@1: 67.9688 (67.9688)Acc@5: 98.4375 (98.4375) +2024-12-26 14:50:21,309 - train: [ INFO] - Eval : 70 Time: 0.126 (0.326) Loss: 1.2165 (1.0779) Acc@1: 60.5769 (63.9785)Acc@5: 98.0769 (98.2527) +2024-12-26 14:50:22,517 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-70.pth.tar', 63.978495197911414) + +2024-12-26 14:50:24,858 - train: [ INFO] - Train: 71 [ 0/52 ( 0%)] Loss: 0.519996 (0.5200) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.328s, 54.98/s (2.328s, 54.98/s) LR: 1.290e-04 Data: 1.925 (1.925) +2024-12-26 14:50:42,897 - train: [ INFO] - Train: 71 [ 50/52 ( 98%)] Loss: 0.519472 (0.5197) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.361s, 354.87/s (0.397s, 322.07/s) LR: 1.290e-04 Data: 0.000 (0.039) +2024-12-26 14:50:43,252 - train: [ INFO] - Train: 71 [ 51/52 (100%)] Loss: 0.506237 (0.5152) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.352s, 363.64/s (0.397s, 322.78/s) LR: 1.290e-04 Data: 0.000 (0.038) +2024-12-26 14:50:44,918 - train: [ INFO] - Eval : 71 Time: 1.511 (1.511) Loss: 0.9078 (0.9078) Acc@1: 67.9688 (67.9688)Acc@5: 100.0000 (100.0000) +2024-12-26 14:50:45,622 - train: [ INFO] - Eval : 71 Time: 0.126 (0.369) Loss: 1.1826 (1.0520) Acc@1: 55.7692 (61.8280)Acc@5: 100.0000 (98.9247) +2024-12-26 14:50:47,907 - train: [ INFO] - Train: 72 [ 0/52 ( 0%)] Loss: 0.512594 (0.5126) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.586s, 80.71/s (1.586s, 80.71/s) LR: 1.215e-04 Data: 1.205 (1.205) +2024-12-26 14:51:05,902 - train: [ INFO] - Train: 72 [ 50/52 ( 98%)] Loss: 0.514404 (0.5135) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.347s, 369.16/s (0.382s, 334.83/s) LR: 1.215e-04 Data: 0.000 (0.025) +2024-12-26 14:51:06,253 - train: [ INFO] - Train: 72 [ 51/52 (100%)] Loss: 0.509064 (0.5120) Acc@1: 99.2188 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.347s, 368.67/s (0.382s, 335.42/s) LR: 1.215e-04 Data: 0.000 (0.024) +2024-12-26 14:51:07,623 - train: [ INFO] - Eval : 72 Time: 1.184 (1.184) Loss: 1.2074 (1.2074) Acc@1: 56.2500 (56.2500)Acc@5: 98.4375 (98.4375) +2024-12-26 14:51:08,335 - train: [ INFO] - Eval : 72 Time: 0.146 (0.316) Loss: 1.1770 (1.0991) Acc@1: 60.5769 (60.4839)Acc@5: 93.2692 (97.4462) +2024-12-26 14:51:11,029 - train: [ INFO] - Train: 73 [ 0/52 ( 0%)] Loss: 0.498360 (0.4984) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.564s, 81.83/s (1.564s, 81.83/s) LR: 1.141e-04 Data: 1.151 (1.151) +2024-12-26 14:51:28,868 - train: [ INFO] - Train: 73 [ 50/52 ( 98%)] Loss: 0.490206 (0.4943) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.357s, 358.84/s (0.380s, 337.03/s) LR: 1.141e-04 Data: 0.000 (0.024) +2024-12-26 14:51:29,222 - train: [ INFO] - Train: 73 [ 51/52 (100%)] Loss: 0.508872 (0.4991) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.351s, 364.16/s (0.379s, 337.51/s) LR: 1.141e-04 Data: 0.000 (0.023) +2024-12-26 14:51:30,644 - train: [ INFO] - Eval : 73 Time: 1.260 (1.260) Loss: 0.9690 (0.9690) Acc@1: 64.0625 (64.0625)Acc@5: 99.2188 (99.2188) +2024-12-26 14:51:31,312 - train: [ INFO] - Eval : 73 Time: 0.124 (0.321) Loss: 0.9923 (1.0441) Acc@1: 64.4231 (62.3656)Acc@5: 100.0000 (99.0591) +2024-12-26 14:51:33,856 - train: [ INFO] - Train: 74 [ 0/52 ( 0%)] Loss: 0.490848 (0.4908) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.787s, 71.62/s (1.787s, 71.62/s) LR: 1.070e-04 Data: 1.346 (1.346) +2024-12-26 14:51:51,921 - train: [ INFO] - Train: 74 [ 50/52 ( 98%)] Loss: 0.507875 (0.4994) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.348s, 367.56/s (0.388s, 329.62/s) LR: 1.070e-04 Data: 0.000 (0.027) +2024-12-26 14:51:52,272 - train: [ INFO] - Train: 74 [ 51/52 (100%)] Loss: 0.504020 (0.5009) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.348s, 367.42/s (0.388s, 330.28/s) LR: 1.070e-04 Data: 0.000 (0.027) +2024-12-26 14:51:53,714 - train: [ INFO] - Eval : 74 Time: 1.260 (1.260) Loss: 1.2001 (1.2001) Acc@1: 56.2500 (56.2500)Acc@5: 100.0000 (100.0000) +2024-12-26 14:51:54,425 - train: [ INFO] - Eval : 74 Time: 0.142 (0.329) Loss: 1.1295 (1.2081) Acc@1: 58.6538 (58.3333)Acc@5: 99.0385 (97.7151) +2024-12-26 14:51:56,461 - train: [ INFO] - Train: 75 [ 0/52 ( 0%)] Loss: 0.521374 (0.5214) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.325s, 96.60/s (1.325s, 96.60/s) LR: 1.001e-04 Data: 0.945 (0.945) +2024-12-26 14:52:14,294 - train: [ INFO] - Train: 75 [ 50/52 ( 98%)] Loss: 0.504322 (0.5128) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.88/s (0.374s, 341.83/s) LR: 1.001e-04 Data: 0.000 (0.020) +2024-12-26 14:52:14,659 - train: [ INFO] - Train: 75 [ 51/52 (100%)] Loss: 0.509219 (0.5116) Acc@1: 98.4375 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.359s, 356.59/s (0.374s, 342.10/s) LR: 1.001e-04 Data: 0.000 (0.019) +2024-12-26 14:52:17,142 - train: [ INFO] - Eval : 75 Time: 2.331 (2.331) Loss: 1.0185 (1.0185) Acc@1: 64.8438 (64.8438)Acc@5: 97.6562 (97.6562) +2024-12-26 14:52:17,823 - train: [ INFO] - Eval : 75 Time: 0.133 (0.502) Loss: 1.0612 (1.1465) Acc@1: 62.5000 (60.2151)Acc@5: 99.0385 (98.3871) +2024-12-26 14:52:20,376 - train: [ INFO] - Train: 76 [ 0/52 ( 0%)] Loss: 0.509342 (0.5093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.822s, 70.24/s (1.822s, 70.24/s) LR: 9.334e-05 Data: 1.438 (1.438) +2024-12-26 14:52:38,233 - train: [ INFO] - Train: 76 [ 50/52 ( 98%)] Loss: 0.494251 (0.5018) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.347s, 368.57/s (0.385s, 332.48/s) LR: 9.334e-05 Data: 0.000 (0.029) +2024-12-26 14:52:38,595 - train: [ INFO] - Train: 76 [ 51/52 (100%)] Loss: 0.509592 (0.5044) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.360s, 355.69/s (0.385s, 332.90/s) LR: 9.334e-05 Data: 0.000 (0.029) +2024-12-26 14:52:40,019 - train: [ INFO] - Eval : 76 Time: 1.277 (1.277) Loss: 0.9487 (0.9487) Acc@1: 66.4062 (66.4062)Acc@5: 99.2188 (99.2188) +2024-12-26 14:52:40,646 - train: [ INFO] - Eval : 76 Time: 0.101 (0.317) Loss: 1.1173 (1.0473) Acc@1: 56.7308 (62.6344)Acc@5: 98.0769 (98.1183) +2024-12-26 14:52:44,683 - train: [ INFO] - Train: 77 [ 0/52 ( 0%)] Loss: 0.489308 (0.4893) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.352s, 54.43/s (2.352s, 54.43/s) LR: 8.684e-05 Data: 1.914 (1.914) +2024-12-26 14:53:02,607 - train: [ INFO] - Train: 77 [ 50/52 ( 98%)] Loss: 0.513337 (0.5013) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.348s, 367.35/s (0.396s, 322.95/s) LR: 8.684e-05 Data: 0.000 (0.039) +2024-12-26 14:53:02,959 - train: [ INFO] - Train: 77 [ 51/52 (100%)] Loss: 0.520324 (0.5077) Acc@1: 98.4375 (98.9583) Acc@5: 100.0000 (100.0000) Time: 0.349s, 367.12/s (0.395s, 323.70/s) LR: 8.684e-05 Data: 0.000 (0.038) +2024-12-26 14:53:04,495 - train: [ INFO] - Eval : 77 Time: 1.387 (1.387) Loss: 1.0990 (1.0990) Acc@1: 60.1562 (60.1562)Acc@5: 98.4375 (98.4375) +2024-12-26 14:53:05,140 - train: [ INFO] - Eval : 77 Time: 0.114 (0.339) Loss: 1.1225 (1.1681) Acc@1: 62.5000 (59.5430)Acc@5: 99.0385 (98.1183) +2024-12-26 14:53:07,324 - train: [ INFO] - Train: 78 [ 0/52 ( 0%)] Loss: 0.495815 (0.4958) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.458s, 87.79/s (1.458s, 87.79/s) LR: 8.057e-05 Data: 1.061 (1.061) +2024-12-26 14:53:25,339 - train: [ INFO] - Train: 78 [ 50/52 ( 98%)] Loss: 0.506031 (0.5009) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.353s, 362.10/s (0.381s, 336.04/s) LR: 8.057e-05 Data: 0.000 (0.022) +2024-12-26 14:53:25,696 - train: [ INFO] - Train: 78 [ 51/52 (100%)] Loss: 0.488844 (0.4969) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.355s, 360.97/s (0.380s, 336.48/s) LR: 8.057e-05 Data: 0.000 (0.021) +2024-12-26 14:53:27,461 - train: [ INFO] - Eval : 78 Time: 1.630 (1.630) Loss: 1.1381 (1.1381) Acc@1: 61.7188 (61.7188)Acc@5: 97.6562 (97.6562) +2024-12-26 14:53:28,123 - train: [ INFO] - Eval : 78 Time: 0.131 (0.382) Loss: 1.2323 (1.0807) Acc@1: 53.8462 (61.5591)Acc@5: 99.0385 (98.5215) +2024-12-26 14:53:30,494 - train: [ INFO] - Train: 79 [ 0/52 ( 0%)] Loss: 0.485383 (0.4854) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.602s, 79.89/s (1.602s, 79.89/s) LR: 7.453e-05 Data: 1.202 (1.202) +2024-12-26 14:53:48,381 - train: [ INFO] - Train: 79 [ 50/52 ( 98%)] Loss: 0.490999 (0.4882) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.351s, 364.96/s (0.381s, 336.00/s) LR: 7.453e-05 Data: 0.000 (0.025) +2024-12-26 14:53:48,738 - train: [ INFO] - Train: 79 [ 51/52 (100%)] Loss: 0.488432 (0.4883) Acc@1: 99.2188 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.353s, 362.38/s (0.380s, 336.47/s) LR: 7.453e-05 Data: 0.000 (0.024) +2024-12-26 14:53:50,423 - train: [ INFO] - Eval : 79 Time: 1.495 (1.495) Loss: 1.0623 (1.0623) Acc@1: 60.9375 (60.9375)Acc@5: 100.0000 (100.0000) +2024-12-26 14:53:51,102 - train: [ INFO] - Eval : 79 Time: 0.124 (0.362) Loss: 1.0521 (1.1135) Acc@1: 67.3077 (59.6774)Acc@5: 97.1154 (99.3280) +2024-12-26 14:53:53,610 - train: [ INFO] - Train: 80 [ 0/52 ( 0%)] Loss: 0.510606 (0.5106) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.730s, 73.98/s (1.730s, 73.98/s) LR: 6.873e-05 Data: 1.316 (1.316) +2024-12-26 14:54:11,487 - train: [ INFO] - Train: 80 [ 50/52 ( 98%)] Loss: 0.499025 (0.5048) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.363s, 352.87/s (0.383s, 333.79/s) LR: 6.873e-05 Data: 0.000 (0.027) +2024-12-26 14:54:11,858 - train: [ INFO] - Train: 80 [ 51/52 (100%)] Loss: 0.493374 (0.5010) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.369s, 347.01/s (0.383s, 334.04/s) LR: 6.873e-05 Data: 0.001 (0.026) +2024-12-26 14:54:13,878 - train: [ INFO] - Eval : 80 Time: 1.845 (1.845) Loss: 1.0878 (1.0878) Acc@1: 61.7188 (61.7188)Acc@5: 98.4375 (98.4375) +2024-12-26 14:54:14,573 - train: [ INFO] - Eval : 80 Time: 0.126 (0.423) Loss: 0.9763 (1.0604) Acc@1: 67.3077 (62.5000)Acc@5: 97.1154 (97.9839) +2024-12-26 14:54:17,775 - train: [ INFO] - Train: 81 [ 0/52 ( 0%)] Loss: 0.506932 (0.5069) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.171s, 58.95/s (2.171s, 58.95/s) LR: 6.317e-05 Data: 1.752 (1.752) +2024-12-26 14:54:35,730 - train: [ INFO] - Train: 81 [ 50/52 ( 98%)] Loss: 0.478312 (0.4926) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.350s, 366.13/s (0.394s, 325.23/s) LR: 6.317e-05 Data: 0.000 (0.035) +2024-12-26 14:54:36,076 - train: [ INFO] - Train: 81 [ 51/52 (100%)] Loss: 0.493137 (0.4928) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.344s, 372.44/s (0.393s, 326.02/s) LR: 6.317e-05 Data: 0.000 (0.035) +2024-12-26 14:54:38,094 - train: [ INFO] - Eval : 81 Time: 1.827 (1.827) Loss: 1.0866 (1.0866) Acc@1: 58.5938 (58.5938)Acc@5: 98.4375 (98.4375) +2024-12-26 14:54:38,765 - train: [ INFO] - Eval : 81 Time: 0.127 (0.416) Loss: 1.1479 (1.1040) Acc@1: 58.6538 (60.0806)Acc@5: 100.0000 (98.2527) +2024-12-26 14:54:41,651 - train: [ INFO] - Train: 82 [ 0/52 ( 0%)] Loss: 0.492950 (0.4929) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.128s, 60.15/s (2.128s, 60.15/s) LR: 5.787e-05 Data: 1.703 (1.703) +2024-12-26 14:54:59,535 - train: [ INFO] - Train: 82 [ 50/52 ( 98%)] Loss: 0.509060 (0.5010) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.355s, 360.70/s (0.391s, 327.19/s) LR: 5.787e-05 Data: 0.000 (0.034) +2024-12-26 14:54:59,892 - train: [ INFO] - Train: 82 [ 51/52 (100%)] Loss: 0.497449 (0.4998) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.354s, 361.63/s (0.390s, 327.79/s) LR: 5.787e-05 Data: 0.000 (0.034) +2024-12-26 14:55:02,443 - train: [ INFO] - Eval : 82 Time: 2.350 (2.350) Loss: 0.8414 (0.8414) Acc@1: 65.6250 (65.6250)Acc@5: 98.4375 (98.4375) +2024-12-26 14:55:03,126 - train: [ INFO] - Eval : 82 Time: 0.143 (0.506) Loss: 0.9821 (1.0318) Acc@1: 64.4231 (62.7688)Acc@5: 100.0000 (99.0591) +2024-12-26 14:55:06,679 - train: [ INFO] - Train: 83 [ 0/52 ( 0%)] Loss: 0.518917 (0.5189) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.378s, 53.82/s (2.378s, 53.82/s) LR: 5.282e-05 Data: 1.968 (1.968) +2024-12-26 14:55:24,537 - train: [ INFO] - Train: 83 [ 50/52 ( 98%)] Loss: 0.505253 (0.5121) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.348s, 367.82/s (0.396s, 323.29/s) LR: 5.282e-05 Data: 0.000 (0.040) +2024-12-26 14:55:24,884 - train: [ INFO] - Train: 83 [ 51/52 (100%)] Loss: 0.503590 (0.5093) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.344s, 371.95/s (0.395s, 324.10/s) LR: 5.282e-05 Data: 0.000 (0.039) +2024-12-26 14:55:26,346 - train: [ INFO] - Eval : 83 Time: 1.308 (1.308) Loss: 1.0350 (1.0350) Acc@1: 62.5000 (62.5000)Acc@5: 100.0000 (100.0000) +2024-12-26 14:55:27,041 - train: [ INFO] - Eval : 83 Time: 0.155 (0.334) Loss: 0.8772 (1.0045) Acc@1: 69.2308 (63.8441)Acc@5: 99.0385 (99.3280) +2024-12-26 14:55:30,964 - train: [ INFO] - Train: 84 [ 0/52 ( 0%)] Loss: 0.485699 (0.4857) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.442s, 52.41/s (2.442s, 52.41/s) LR: 4.804e-05 Data: 2.060 (2.060) +2024-12-26 14:55:48,824 - train: [ INFO] - Train: 84 [ 50/52 ( 98%)] Loss: 0.479573 (0.4826) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 371.18/s (0.397s, 322.09/s) LR: 4.804e-05 Data: 0.000 (0.042) +2024-12-26 14:55:49,181 - train: [ INFO] - Train: 84 [ 51/52 (100%)] Loss: 0.489135 (0.4848) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.353s, 362.15/s (0.397s, 322.77/s) LR: 4.804e-05 Data: 0.000 (0.041) +2024-12-26 14:55:50,542 - train: [ INFO] - Eval : 84 Time: 1.224 (1.224) Loss: 0.9056 (0.9056) Acc@1: 65.6250 (65.6250)Acc@5: 100.0000 (100.0000) +2024-12-26 14:55:51,267 - train: [ INFO] - Eval : 84 Time: 0.161 (0.325) Loss: 1.0829 (1.0405) Acc@1: 61.5385 (62.6344)Acc@5: 99.0385 (99.0591) +2024-12-26 14:55:53,424 - train: [ INFO] - Train: 85 [ 0/52 ( 0%)] Loss: 0.485195 (0.4852) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.424s, 89.87/s (1.424s, 89.87/s) LR: 4.352e-05 Data: 1.031 (1.031) +2024-12-26 14:56:11,334 - train: [ INFO] - Train: 85 [ 50/52 ( 98%)] Loss: 0.505135 (0.4952) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.363s, 352.19/s (0.378s, 338.26/s) LR: 4.352e-05 Data: 0.000 (0.021) +2024-12-26 14:56:11,692 - train: [ INFO] - Train: 85 [ 51/52 (100%)] Loss: 0.492375 (0.4942) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.354s, 361.20/s (0.378s, 338.68/s) LR: 4.352e-05 Data: 0.000 (0.021) +2024-12-26 14:56:14,051 - train: [ INFO] - Eval : 85 Time: 2.194 (2.194) Loss: 1.0510 (1.0510) Acc@1: 59.3750 (59.3750)Acc@5: 100.0000 (100.0000) +2024-12-26 14:56:14,746 - train: [ INFO] - Eval : 85 Time: 0.151 (0.482) Loss: 1.0998 (1.0362) Acc@1: 58.6538 (61.9624)Acc@5: 99.0385 (99.1935) +2024-12-26 14:56:17,969 - train: [ INFO] - Train: 86 [ 0/52 ( 0%)] Loss: 0.501897 (0.5019) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.480s, 51.61/s (2.480s, 51.61/s) LR: 3.927e-05 Data: 2.096 (2.096) +2024-12-26 14:56:35,841 - train: [ INFO] - Train: 86 [ 50/52 ( 98%)] Loss: 0.494094 (0.4980) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.348s, 368.26/s (0.398s, 321.72/s) LR: 3.927e-05 Data: 0.000 (0.042) +2024-12-26 14:56:36,223 - train: [ INFO] - Train: 86 [ 51/52 (100%)] Loss: 0.485623 (0.4939) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.368s, 347.59/s (0.397s, 322.18/s) LR: 3.927e-05 Data: 0.000 (0.041) +2024-12-26 14:56:37,797 - train: [ INFO] - Eval : 86 Time: 1.428 (1.428) Loss: 1.0063 (1.0063) Acc@1: 63.2812 (63.2812)Acc@5: 100.0000 (100.0000) +2024-12-26 14:56:38,470 - train: [ INFO] - Eval : 86 Time: 0.130 (0.350) Loss: 1.2202 (1.0841) Acc@1: 53.8462 (60.2151)Acc@5: 97.1154 (98.6559) +2024-12-26 14:56:41,978 - train: [ INFO] - Train: 87 [ 0/52 ( 0%)] Loss: 0.481386 (0.4814) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.752s, 46.51/s (2.752s, 46.51/s) LR: 3.529e-05 Data: 2.366 (2.366) +2024-12-26 14:56:59,838 - train: [ INFO] - Train: 87 [ 50/52 ( 98%)] Loss: 0.515542 (0.4985) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.362s, 353.17/s (0.403s, 317.36/s) LR: 3.529e-05 Data: 0.000 (0.047) +2024-12-26 14:57:00,190 - train: [ INFO] - Train: 87 [ 51/52 (100%)] Loss: 0.482573 (0.4932) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.76/s (0.402s, 318.17/s) LR: 3.529e-05 Data: 0.000 (0.046) +2024-12-26 14:57:01,632 - train: [ INFO] - Eval : 87 Time: 1.307 (1.307) Loss: 0.9500 (0.9500) Acc@1: 65.6250 (65.6250)Acc@5: 98.4375 (98.4375) +2024-12-26 14:57:02,290 - train: [ INFO] - Eval : 87 Time: 0.132 (0.328) Loss: 1.0709 (1.0151) Acc@1: 57.6923 (62.3656)Acc@5: 99.0385 (98.7903) +2024-12-26 14:57:05,850 - train: [ INFO] - Train: 88 [ 0/52 ( 0%)] Loss: 0.490565 (0.4906) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.816s, 45.45/s (2.816s, 45.45/s) LR: 3.159e-05 Data: 2.425 (2.425) +2024-12-26 14:57:23,839 - train: [ INFO] - Train: 88 [ 50/52 ( 98%)] Loss: 0.482493 (0.4865) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.349s, 366.89/s (0.407s, 314.68/s) LR: 3.159e-05 Data: 0.000 (0.049) +2024-12-26 14:57:24,195 - train: [ INFO] - Train: 88 [ 51/52 (100%)] Loss: 0.488968 (0.4873) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.353s, 362.71/s (0.406s, 315.49/s) LR: 3.159e-05 Data: 0.000 (0.048) +2024-12-26 14:57:26,012 - train: [ INFO] - Eval : 88 Time: 1.654 (1.654) Loss: 1.0253 (1.0253) Acc@1: 64.0625 (64.0625)Acc@5: 99.2188 (99.2188) +2024-12-26 14:57:26,681 - train: [ INFO] - Eval : 88 Time: 0.141 (0.387) Loss: 1.1800 (1.0638) Acc@1: 57.6923 (63.1720)Acc@5: 97.1154 (97.8495) +2024-12-26 14:57:29,329 - train: [ INFO] - Train: 89 [ 0/52 ( 0%)] Loss: 0.497096 (0.4971) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.894s, 67.57/s (1.894s, 67.57/s) LR: 2.818e-05 Data: 1.492 (1.492) +2024-12-26 14:57:47,310 - train: [ INFO] - Train: 89 [ 50/52 ( 98%)] Loss: 0.499604 (0.4984) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.58/s (0.389s, 329.20/s) LR: 2.818e-05 Data: 0.000 (0.030) +2024-12-26 14:57:47,663 - train: [ INFO] - Train: 89 [ 51/52 (100%)] Loss: 0.489687 (0.4955) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.38/s (0.388s, 329.83/s) LR: 2.818e-05 Data: 0.000 (0.030) +2024-12-26 14:57:49,066 - train: [ INFO] - Eval : 89 Time: 1.254 (1.254) Loss: 0.8764 (0.8764) Acc@1: 74.2188 (74.2188)Acc@5: 100.0000 (100.0000) +2024-12-26 14:57:50,495 - train: [ INFO] - Eval : 89 Time: 0.221 (0.360) Loss: 1.0248 (1.0166) Acc@1: 60.5769 (64.3817)Acc@5: 99.0385 (98.7903) +2024-12-26 14:57:51,274 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-89.pth.tar', 64.38172100436303) + +2024-12-26 14:57:53,483 - train: [ INFO] - Train: 90 [ 0/52 ( 0%)] Loss: 0.486769 (0.4868) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.182s, 58.65/s (2.182s, 58.65/s) LR: 2.505e-05 Data: 1.790 (1.790) +2024-12-26 14:58:11,485 - train: [ INFO] - Train: 90 [ 50/52 ( 98%)] Loss: 0.484724 (0.4857) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.352s, 363.60/s (0.395s, 324.28/s) LR: 2.505e-05 Data: 0.000 (0.036) +2024-12-26 14:58:11,865 - train: [ INFO] - Train: 90 [ 51/52 (100%)] Loss: 0.502298 (0.4913) Acc@1: 98.4375 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.377s, 339.13/s (0.394s, 324.55/s) LR: 2.505e-05 Data: 0.000 (0.036) +2024-12-26 14:58:13,242 - train: [ INFO] - Eval : 90 Time: 1.216 (1.216) Loss: 1.0335 (1.0335) Acc@1: 67.1875 (67.1875)Acc@5: 99.2188 (99.2188) +2024-12-26 14:58:13,962 - train: [ INFO] - Eval : 90 Time: 0.127 (0.323) Loss: 1.0753 (1.0506) Acc@1: 59.6154 (63.0376)Acc@5: 100.0000 (98.9247) +2024-12-26 14:58:16,175 - train: [ INFO] - Train: 91 [ 0/52 ( 0%)] Loss: 0.507268 (0.5073) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.503s, 85.16/s (1.503s, 85.16/s) LR: 2.221e-05 Data: 1.067 (1.067) +2024-12-26 14:58:34,038 - train: [ INFO] - Train: 91 [ 50/52 ( 98%)] Loss: 0.496337 (0.5018) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.348s, 367.78/s (0.378s, 338.33/s) LR: 2.221e-05 Data: 0.000 (0.022) +2024-12-26 14:58:34,390 - train: [ INFO] - Train: 91 [ 51/52 (100%)] Loss: 0.496075 (0.4999) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.349s, 367.22/s (0.378s, 338.84/s) LR: 2.221e-05 Data: 0.000 (0.022) +2024-12-26 14:58:36,034 - train: [ INFO] - Eval : 91 Time: 1.436 (1.436) Loss: 1.2527 (1.2527) Acc@1: 57.0312 (57.0312)Acc@5: 97.6562 (97.6562) +2024-12-26 14:58:36,711 - train: [ INFO] - Eval : 91 Time: 0.143 (0.352) Loss: 1.0035 (1.0110) Acc@1: 62.5000 (64.1129)Acc@5: 99.0385 (98.7903) +2024-12-26 14:58:39,007 - train: [ INFO] - Train: 92 [ 0/52 ( 0%)] Loss: 0.489613 (0.4896) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.501s, 85.25/s (1.501s, 85.25/s) LR: 1.966e-05 Data: 1.079 (1.079) +2024-12-26 14:58:56,878 - train: [ INFO] - Train: 92 [ 50/52 ( 98%)] Loss: 0.484810 (0.4872) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.349s, 366.59/s (0.379s, 337.69/s) LR: 1.966e-05 Data: 0.000 (0.022) +2024-12-26 14:58:57,237 - train: [ INFO] - Train: 92 [ 51/52 (100%)] Loss: 0.483214 (0.4859) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.356s, 359.63/s (0.379s, 338.09/s) LR: 1.966e-05 Data: 0.000 (0.022) +2024-12-26 14:58:58,826 - train: [ INFO] - Eval : 92 Time: 1.373 (1.373) Loss: 1.0158 (1.0158) Acc@1: 60.1562 (60.1562)Acc@5: 98.4375 (98.4375) +2024-12-26 14:58:59,518 - train: [ INFO] - Eval : 92 Time: 0.139 (0.344) Loss: 1.1362 (1.0754) Acc@1: 56.7308 (60.4839)Acc@5: 98.0769 (98.3871) +2024-12-26 14:59:01,715 - train: [ INFO] - Train: 93 [ 0/52 ( 0%)] Loss: 0.502259 (0.5023) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.452s, 88.18/s (1.452s, 88.18/s) LR: 1.741e-05 Data: 1.068 (1.068) +2024-12-26 14:59:19,656 - train: [ INFO] - Train: 93 [ 50/52 ( 98%)] Loss: 0.481721 (0.4920) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.357s, 358.92/s (0.378s, 338.36/s) LR: 1.741e-05 Data: 0.000 (0.022) +2024-12-26 14:59:20,007 - train: [ INFO] - Train: 93 [ 51/52 (100%)] Loss: 0.475867 (0.4866) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.348s, 368.14/s (0.378s, 338.88/s) LR: 1.741e-05 Data: 0.000 (0.022) +2024-12-26 14:59:21,567 - train: [ INFO] - Eval : 93 Time: 1.383 (1.383) Loss: 0.9471 (0.9471) Acc@1: 64.8438 (64.8438)Acc@5: 99.2188 (99.2188) +2024-12-26 14:59:22,281 - train: [ INFO] - Eval : 93 Time: 0.131 (0.349) Loss: 1.0055 (1.0173) Acc@1: 69.2308 (64.7849)Acc@5: 100.0000 (98.5215) +2024-12-26 14:59:23,088 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/checkpoint-93.pth.tar', 64.78494689285114) + +2024-12-26 14:59:25,106 - train: [ INFO] - Train: 94 [ 0/52 ( 0%)] Loss: 0.484023 (0.4840) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.995s, 64.16/s (1.995s, 64.16/s) LR: 1.545e-05 Data: 1.592 (1.592) +2024-12-26 14:59:43,147 - train: [ INFO] - Train: 94 [ 50/52 ( 98%)] Loss: 0.487098 (0.4856) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.369s, 347.30/s (0.392s, 326.83/s) LR: 1.545e-05 Data: 0.000 (0.033) +2024-12-26 14:59:43,591 - train: [ INFO] - Train: 94 [ 51/52 (100%)] Loss: 0.491482 (0.4875) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.348s, 368.04/s (0.391s, 327.54/s) LR: 1.545e-05 Data: 0.000 (0.032) +2024-12-26 14:59:45,635 - train: [ INFO] - Eval : 94 Time: 1.799 (1.799) Loss: 1.1695 (1.1695) Acc@1: 56.2500 (56.2500)Acc@5: 99.2188 (99.2188) +2024-12-26 14:59:46,316 - train: [ INFO] - Eval : 94 Time: 0.125 (0.413) Loss: 1.0980 (1.0242) Acc@1: 62.5000 (63.5753)Acc@5: 97.1154 (98.7903) +2024-12-26 14:59:49,530 - train: [ INFO] - Train: 95 [ 0/52 ( 0%)] Loss: 0.480802 (0.4808) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.439s, 52.48/s (2.439s, 52.48/s) LR: 1.379e-05 Data: 2.047 (2.047) +2024-12-26 15:00:07,461 - train: [ INFO] - Train: 95 [ 50/52 ( 98%)] Loss: 0.496895 (0.4888) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.349s, 366.72/s (0.398s, 321.32/s) LR: 1.379e-05 Data: 0.000 (0.041) +2024-12-26 15:00:07,817 - train: [ INFO] - Train: 95 [ 51/52 (100%)] Loss: 0.500404 (0.4927) Acc@1: 99.2188 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.354s, 361.66/s (0.398s, 322.01/s) LR: 1.379e-05 Data: 0.000 (0.041) +2024-12-26 15:00:09,538 - train: [ INFO] - Eval : 95 Time: 1.560 (1.560) Loss: 0.9697 (0.9697) Acc@1: 66.4062 (66.4062)Acc@5: 98.4375 (98.4375) +2024-12-26 15:00:10,194 - train: [ INFO] - Eval : 95 Time: 0.130 (0.369) Loss: 0.9762 (1.0210) Acc@1: 59.6154 (64.1129)Acc@5: 98.0769 (98.7903) +2024-12-26 15:00:14,130 - train: [ INFO] - Train: 96 [ 0/52 ( 0%)] Loss: 0.485639 (0.4856) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 2.196s, 58.30/s (2.196s, 58.30/s) LR: 1.242e-05 Data: 1.770 (1.770) +2024-12-26 15:00:32,031 - train: [ INFO] - Train: 96 [ 50/52 ( 98%)] Loss: 0.487452 (0.4865) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.346s, 369.67/s (0.392s, 326.21/s) LR: 1.242e-05 Data: 0.000 (0.036) +2024-12-26 15:00:32,400 - train: [ INFO] - Train: 96 [ 51/52 (100%)] Loss: 0.476852 (0.4833) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.33/s (0.392s, 326.88/s) LR: 1.242e-05 Data: 0.000 (0.036) +2024-12-26 15:00:33,749 - train: [ INFO] - Eval : 96 Time: 1.186 (1.186) Loss: 1.0397 (1.0397) Acc@1: 61.7188 (61.7188)Acc@5: 98.4375 (98.4375) +2024-12-26 15:00:34,445 - train: [ INFO] - Eval : 96 Time: 0.128 (0.314) Loss: 0.8221 (1.0207) Acc@1: 70.1923 (62.7688)Acc@5: 99.0385 (98.3871) +2024-12-26 15:00:36,588 - train: [ INFO] - Train: 97 [ 0/52 ( 0%)] Loss: 0.498884 (0.4989) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.430s, 89.53/s (1.430s, 89.53/s) LR: 1.136e-05 Data: 1.039 (1.039) +2024-12-26 15:00:54,673 - train: [ INFO] - Train: 97 [ 50/52 ( 98%)] Loss: 0.491681 (0.4953) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.367s, 349.11/s (0.382s, 335.18/s) LR: 1.136e-05 Data: 0.000 (0.022) +2024-12-26 15:00:55,026 - train: [ INFO] - Train: 97 [ 51/52 (100%)] Loss: 0.491213 (0.4939) Acc@1: 100.0000 (99.4792) Acc@5: 100.0000 (100.0000) Time: 0.350s, 365.50/s (0.381s, 335.71/s) LR: 1.136e-05 Data: 0.000 (0.021) +2024-12-26 15:00:56,945 - train: [ INFO] - Eval : 97 Time: 1.779 (1.779) Loss: 1.0802 (1.0802) Acc@1: 59.3750 (59.3750)Acc@5: 98.4375 (98.4375) +2024-12-26 15:00:57,618 - train: [ INFO] - Eval : 97 Time: 0.124 (0.409) Loss: 1.0778 (1.0089) Acc@1: 64.4231 (63.8441)Acc@5: 98.0769 (99.0591) +2024-12-26 15:00:59,681 - train: [ INFO] - Train: 98 [ 0/52 ( 0%)] Loss: 0.490543 (0.4905) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.342s, 95.39/s (1.342s, 95.39/s) LR: 1.061e-05 Data: 0.979 (0.979) +2024-12-26 15:01:17,682 - train: [ INFO] - Train: 98 [ 50/52 ( 98%)] Loss: 0.487187 (0.4889) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.349s, 366.77/s (0.378s, 338.31/s) LR: 1.061e-05 Data: 0.000 (0.020) +2024-12-26 15:01:18,033 - train: [ INFO] - Train: 98 [ 51/52 (100%)] Loss: 0.488151 (0.4886) Acc@1: 100.0000 (99.7396) Acc@5: 100.0000 (100.0000) Time: 0.348s, 368.03/s (0.378s, 338.83/s) LR: 1.061e-05 Data: 0.000 (0.020) +2024-12-26 15:01:19,939 - train: [ INFO] - Eval : 98 Time: 1.773 (1.773) Loss: 1.1227 (1.1227) Acc@1: 60.1562 (60.1562)Acc@5: 97.6562 (97.6562) +2024-12-26 15:01:20,640 - train: [ INFO] - Eval : 98 Time: 0.133 (0.413) Loss: 0.9473 (1.0169) Acc@1: 70.1923 (63.9785)Acc@5: 99.0385 (98.7903) +2024-12-26 15:01:23,640 - train: [ INFO] - Train: 99 [ 0/52 ( 0%)] Loss: 0.488548 (0.4885) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.225s, 57.53/s (2.225s, 57.53/s) LR: 1.015e-05 Data: 1.834 (1.834) +2024-12-26 15:01:41,516 - train: [ INFO] - Train: 99 [ 50/52 ( 98%)] Loss: 0.483020 (0.4858) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.347s, 369.28/s (0.393s, 325.32/s) LR: 1.015e-05 Data: 0.000 (0.037) +2024-12-26 15:01:41,899 - train: [ INFO] - Train: 99 [ 51/52 (100%)] Loss: 0.501690 (0.4911) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.379s, 337.78/s (0.393s, 325.55/s) LR: 1.015e-05 Data: 0.000 (0.036) +2024-12-26 15:01:43,171 - train: [ INFO] - Eval : 99 Time: 1.140 (1.140) Loss: 1.1131 (1.1131) Acc@1: 62.5000 (62.5000)Acc@5: 96.8750 (96.8750) +2024-12-26 15:01:43,880 - train: [ INFO] - Eval : 99 Time: 0.132 (0.308) Loss: 0.9827 (1.0379) Acc@1: 62.5000 (63.9785)Acc@5: 98.0769 (98.2527) +2024-12-26 15:01:44,926 - train: [ INFO] - *** Best metric: 64.78494689285114 (epoch 93) diff --git a/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..7c31c639430ff256df514694ee187f558705a7ff --- /dev/null +++ b/AVspikformer-CREMAD-audio-visual-interaction-Add-attn-method_WeightAttention-cross-attn_True-alpha_1.0-contrastive-False-temperature_0.1-snr_-100-embed_dims_256-LIFNode-4/model_best.pth.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7874dfa89090863c49d63402257623c098ee827502c4e153008304a87080e8ce +size 39587097 diff --git 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a/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/args.yaml b/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/args.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e40b786fe8d568d2d8676a75a30c5ba6f8e301af --- /dev/null +++ b/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/args.yaml @@ -0,0 +1,156 @@ +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptation_info: false +adaptive_node: false +alpha: 1.5 +amp: false +apex_amp: false +attn_method: SpatialTemporal +aug_splits: 0 +batch_size: 128 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +contrastive: true +conv_type: normal +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cross_attn: true +cut_mix: false +cutmix: 0.0 +cutmix_beta: 2.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +dataset: UrbanSound8K +decay_epochs: 30 +decay_rate: 0.1 +device: 0 +dist_bn: '' +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +embed_dims: 64 +encode: direct +epochs: 100 +eval: false +eval_checkpoint: '' +eval_metric: top1 +event_mix: false +event_size: 48 +gaussian_n: 3 +gp: null +hflip: 0.5 +img_size: 224 +initial_checkpoint: '' +interaction: Add +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: false +load_avmodel: false +local_rank: 0 +log_interval: 50 +loss_fn: ce +lr: 0.005 +lr_cycle_limit: 1 +lr_cycle_mul: 1.0 +lr_noise: null +lr_noise_pct: 0.67 +lr_noise_std: 1.0 +mean: null +mem_dist: false +min_lr: 1.0e-05 +mix_up: false +mixup: 0.0 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 0.0 +mixup_switch_prob: 0.5 +modality: audio-visual +model: AVspikformer +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_encode_type: linear +n_groups: 1 +n_preact: false +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +node_resume: '' +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 10 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: ./exp_results +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +rand_step: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 42 +sew_cnf: ADD +shallow_sps: false +sigmoid_thres: false +smoothing: 0.1 +snr: -100 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 4 +suffix: '' +sync_bn: false +tau: 2.0 +temperature: 0.08 +temporal_flatten: false +tensorboard_dir: ./exp_results +tet_loss: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.9 +tsne: false +tta: 0 +use_multi_epochs_loader: false +validation_batch_size_multiplier: 1 +vflip: 0.0 +visualize: false +warmup_epochs: 5 +warmup_lr: 1.0e-06 +weight_decay: 0.0001 +workers: 8 diff --git a/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-85.pth.tar b/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-85.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..c1eec4f64e4a679066b73db6e8b69db7d6f0a431 --- /dev/null +++ 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b/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/log.txt @@ -0,0 +1,489 @@ +2024-12-27 14:02:11,598 - train: [ INFO] - Training with a single process on 1 GPUs. +2024-12-27 14:02:13,250 - train: [ INFO] - learning rate is 0.000625 +2024-12-27 14:02:15,951 - train: [ INFO] - AMP not enabled. Training in float32. +2024-12-27 14:02:15,953 - train: [ INFO] - Scheduled epochs: 110 +2024-12-27 14:02:21,828 - train: [ INFO] - Train: 0 [ 0/47 ( 0%)] Loss: 2.864462 (2.8645) Acc@1: 7.0312 ( 7.0312) Acc@5: 50.7812 (50.7812) Time: 5.867s, 21.82/s (5.867s, 21.82/s) LR: 1.000e-06 Data: 2.644 (2.644) +2024-12-27 14:02:32,061 - train: [ INFO] - Train: 0 [ 46/47 (100%)] Loss: 2.891726 (2.8781) Acc@1: 4.6875 ( 5.8594) Acc@5: 47.6562 (49.2188) Time: 0.214s, 596.75/s (0.341s, 374.93/s) LR: 1.000e-06 Data: 0.000 (0.057) +2024-12-27 14:02:33,631 - train: [ INFO] - Eval : 0 Time: 1.484 (1.484) Loss: 2.2960 (2.2960) Acc@1: 7.0312 ( 7.0312)Acc@5: 66.4062 (66.4062) +2024-12-27 14:02:36,602 - train: [ INFO] - Eval : 0 Time: 0.067 (0.212) Loss: 2.2984 (2.3023) Acc@1: 6.6667 ( 5.6107)Acc@5: 55.0000 (51.9847) +2024-12-27 14:02:37,018 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-0.pth.tar', 5.61068703018072) + +2024-12-27 14:02:38,760 - train: [ INFO] - Train: 1 [ 0/47 ( 0%)] Loss: 2.828325 (2.8283) Acc@1: 4.6875 ( 4.6875) Acc@5: 53.9062 (53.9062) Time: 1.736s, 73.72/s (1.736s, 73.72/s) LR: 1.258e-04 Data: 1.457 (1.457) +2024-12-27 14:02:49,239 - train: [ INFO] - Train: 1 [ 46/47 (100%)] Loss: 2.695994 (2.7622) Acc@1: 44.5312 (24.6094) Acc@5: 88.2812 (71.0938) Time: 0.208s, 615.59/s (0.258s, 496.88/s) LR: 1.258e-04 Data: 0.000 (0.032) +2024-12-27 14:02:50,640 - train: [ INFO] - Eval : 1 Time: 1.259 (1.259) Loss: 2.0889 (2.0889) Acc@1: 44.5312 (44.5312)Acc@5: 89.0625 (89.0625) +2024-12-27 14:02:53,690 - train: [ INFO] - Eval : 1 Time: 0.077 (0.205) Loss: 2.1338 (2.0930) Acc@1: 36.6667 (41.4504)Acc@5: 91.6667 (88.5115) +2024-12-27 14:02:54,002 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-1.pth.tar', 41.45038170850914) + +2024-12-27 14:02:55,610 - train: [ INFO] - Train: 2 [ 0/47 ( 0%)] Loss: 2.682465 (2.6825) Acc@1: 43.7500 (43.7500) Acc@5: 89.0625 (89.0625) Time: 1.559s, 82.09/s (1.559s, 82.09/s) LR: 2.506e-04 Data: 1.265 (1.265) +2024-12-27 14:03:05,732 - train: [ INFO] - Train: 2 [ 46/47 (100%)] Loss: 2.417928 (2.5502) Acc@1: 40.6250 (42.1875) Acc@5: 92.1875 (90.6250) Time: 0.214s, 598.77/s (0.248s, 516.87/s) LR: 2.506e-04 Data: 0.000 (0.028) +2024-12-27 14:03:07,347 - train: [ INFO] - Eval : 2 Time: 1.408 (1.408) Loss: 1.8507 (1.8507) Acc@1: 38.2812 (38.2812)Acc@5: 90.6250 (90.6250) +2024-12-27 14:03:09,891 - train: [ INFO] - Eval : 2 Time: 0.094 (0.188) Loss: 1.7902 (1.8052) Acc@1: 55.0000 (45.8015)Acc@5: 93.3333 (91.8321) +2024-12-27 14:03:10,256 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-2.pth.tar', 45.80152680491673) + +2024-12-27 14:03:11,927 - train: [ INFO] - Train: 3 [ 0/47 ( 0%)] Loss: 2.489466 (2.4895) Acc@1: 44.5312 (44.5312) Acc@5: 91.4062 (91.4062) Time: 1.659s, 77.14/s (1.659s, 77.14/s) LR: 3.754e-04 Data: 1.370 (1.370) +2024-12-27 14:03:22,569 - train: [ INFO] - Train: 3 [ 46/47 (100%)] Loss: 2.266600 (2.3780) Acc@1: 50.7812 (47.6562) Acc@5: 93.7500 (92.5781) Time: 0.214s, 597.35/s (0.249s, 514.07/s) LR: 3.754e-04 Data: 0.000 (0.030) +2024-12-27 14:03:24,184 - train: [ INFO] - Eval : 3 Time: 1.437 (1.437) Loss: 1.5286 (1.5286) Acc@1: 50.7812 (50.7812)Acc@5: 93.7500 (93.7500) +2024-12-27 14:03:27,442 - train: [ INFO] - Eval : 3 Time: 0.052 (0.224) Loss: 1.6541 (1.5121) Acc@1: 40.0000 (51.5649)Acc@5: 88.3333 (94.5802) +2024-12-27 14:03:27,884 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-3.pth.tar', 51.56488558354268) + +2024-12-27 14:03:29,744 - train: [ INFO] - Train: 4 [ 0/47 ( 0%)] Loss: 2.178122 (2.1781) Acc@1: 51.5625 (51.5625) Acc@5: 95.3125 (95.3125) Time: 1.845s, 69.36/s (1.845s, 69.36/s) LR: 5.002e-04 Data: 1.541 (1.541) +2024-12-27 14:03:40,058 - train: [ INFO] - Train: 4 [ 46/47 (100%)] Loss: 1.997107 (2.0876) Acc@1: 67.9688 (59.7656) Acc@5: 96.8750 (96.0938) Time: 0.212s, 602.63/s (0.258s, 496.53/s) LR: 5.002e-04 Data: 0.000 (0.035) +2024-12-27 14:03:41,664 - train: [ INFO] - Eval : 4 Time: 1.390 (1.390) Loss: 1.3396 (1.3396) Acc@1: 64.0625 (64.0625)Acc@5: 93.7500 (93.7500) +2024-12-27 14:03:44,847 - train: [ INFO] - Eval : 4 Time: 0.063 (0.218) Loss: 1.2555 (1.2997) Acc@1: 63.3333 (67.4046)Acc@5: 95.0000 (96.1832) +2024-12-27 14:03:47,244 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-4.pth.tar', 67.4045802109114) + +2024-12-27 14:03:49,184 - train: [ INFO] - Train: 5 [ 0/47 ( 0%)] Loss: 1.954242 (1.9542) Acc@1: 67.1875 (67.1875) Acc@5: 96.8750 (96.8750) Time: 1.835s, 69.77/s (1.835s, 69.77/s) LR: 6.212e-04 Data: 1.548 (1.548) +2024-12-27 14:04:00,294 - train: [ INFO] - Train: 5 [ 46/47 (100%)] Loss: 1.810132 (1.8822) Acc@1: 70.3125 (68.7500) Acc@5: 96.0938 (96.4844) Time: 0.221s, 579.35/s (0.275s, 465.85/s) LR: 6.212e-04 Data: 0.000 (0.043) +2024-12-27 14:04:01,804 - train: [ INFO] - Eval : 5 Time: 1.345 (1.345) Loss: 0.9440 (0.9440) Acc@1: 77.3438 (77.3438)Acc@5: 99.2188 (99.2188) +2024-12-27 14:04:04,768 - train: [ INFO] - Eval : 5 Time: 0.090 (0.205) Loss: 1.0022 (0.9832) Acc@1: 73.3333 (75.3053)Acc@5: 100.0000 (98.0534) +2024-12-27 14:04:05,182 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-5.pth.tar', 75.30534356969004) + +2024-12-27 14:04:06,695 - train: [ INFO] - Train: 6 [ 0/47 ( 0%)] Loss: 1.709461 (1.7095) Acc@1: 82.0312 (82.0312) Acc@5: 97.6562 (97.6562) Time: 1.506s, 84.98/s (1.506s, 84.98/s) LR: 6.196e-04 Data: 1.206 (1.206) +2024-12-27 14:04:17,328 - train: [ INFO] - Train: 6 [ 46/47 (100%)] Loss: 1.643008 (1.6762) Acc@1: 82.8125 (82.4219) Acc@5: 98.4375 (98.0469) Time: 0.231s, 553.13/s (0.246s, 520.52/s) LR: 6.196e-04 Data: 0.000 (0.026) +2024-12-27 14:04:19,654 - train: [ INFO] - Eval : 6 Time: 2.154 (2.154) Loss: 0.7218 (0.7218) Acc@1: 82.0312 (82.0312)Acc@5: 100.0000 (100.0000) +2024-12-27 14:04:23,572 - train: [ INFO] - Eval : 6 Time: 0.067 (0.289) Loss: 0.9214 (0.8327) Acc@1: 66.6667 (77.7099)Acc@5: 98.3333 (99.0458) +2024-12-27 14:04:23,839 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-6.pth.tar', 77.70992378060144) + +2024-12-27 14:04:25,787 - train: [ INFO] - Train: 7 [ 0/47 ( 0%)] Loss: 1.573721 (1.5737) Acc@1: 81.2500 (81.2500) Acc@5: 100.0000 (100.0000) Time: 1.938s, 66.04/s (1.938s, 66.04/s) LR: 6.176e-04 Data: 1.586 (1.586) +2024-12-27 14:04:36,303 - train: [ INFO] - Train: 7 [ 46/47 (100%)] Loss: 1.515974 (1.5448) Acc@1: 86.7188 (83.9844) Acc@5: 99.2188 (99.6094) Time: 0.259s, 494.58/s (0.264s, 485.16/s) LR: 6.176e-04 Data: 0.000 (0.035) +2024-12-27 14:04:37,654 - train: [ INFO] - Eval : 7 Time: 1.183 (1.183) Loss: 0.7743 (0.7743) Acc@1: 81.2500 (81.2500)Acc@5: 98.4375 (98.4375) +2024-12-27 14:04:40,015 - train: [ INFO] - Eval : 7 Time: 0.069 (0.169) Loss: 0.7505 (0.6974) Acc@1: 75.0000 (82.5954)Acc@5: 98.3333 (99.3511) +2024-12-27 14:04:40,281 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-7.pth.tar', 82.59542002204721) + +2024-12-27 14:04:41,643 - train: [ INFO] - Train: 8 [ 0/47 ( 0%)] Loss: 1.493902 (1.4939) Acc@1: 89.0625 (89.0625) Acc@5: 100.0000 (100.0000) Time: 1.351s, 94.76/s (1.351s, 94.76/s) LR: 6.153e-04 Data: 1.127 (1.127) +2024-12-27 14:04:52,857 - train: [ INFO] - Train: 8 [ 46/47 (100%)] Loss: 1.421121 (1.4575) Acc@1: 91.4062 (90.2344) Acc@5: 100.0000 (100.0000) Time: 0.244s, 525.10/s (0.247s, 518.40/s) LR: 6.153e-04 Data: 0.000 (0.025) +2024-12-27 14:04:54,195 - train: [ INFO] - Eval : 8 Time: 1.176 (1.176) Loss: 0.5303 (0.5303) Acc@1: 86.7188 (86.7188)Acc@5: 100.0000 (100.0000) +2024-12-27 14:04:57,336 - train: [ INFO] - Eval : 8 Time: 0.077 (0.206) Loss: 0.6278 (0.5907) Acc@1: 80.0000 (85.7634)Acc@5: 100.0000 (99.6183) +2024-12-27 14:04:57,723 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-8.pth.tar', 85.76335895334492) + +2024-12-27 14:04:59,533 - train: [ INFO] - Train: 9 [ 0/47 ( 0%)] Loss: 1.500623 (1.5006) Acc@1: 85.9375 (85.9375) Acc@5: 100.0000 (100.0000) Time: 1.795s, 71.30/s (1.795s, 71.30/s) LR: 6.128e-04 Data: 1.500 (1.500) +2024-12-27 14:05:09,716 - train: [ INFO] - Train: 9 [ 46/47 (100%)] Loss: 1.500264 (1.5004) Acc@1: 81.2500 (83.5938) Acc@5: 98.4375 (99.2188) Time: 0.208s, 616.01/s (0.254s, 503.71/s) LR: 6.128e-04 Data: 0.000 (0.033) +2024-12-27 14:05:11,402 - train: [ INFO] - Eval : 9 Time: 1.502 (1.502) Loss: 0.5074 (0.5074) Acc@1: 89.8438 (89.8438)Acc@5: 100.0000 (100.0000) +2024-12-27 14:05:13,765 - train: [ INFO] - Eval : 9 Time: 0.063 (0.184) Loss: 0.4850 (0.5310) Acc@1: 88.3333 (87.8244)Acc@5: 100.0000 (99.8092) +2024-12-27 14:05:14,019 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-9.pth.tar', 87.82442753915568) + +2024-12-27 14:05:16,262 - train: [ INFO] - Train: 10 [ 0/47 ( 0%)] Loss: 1.494843 (1.4948) Acc@1: 83.5938 (83.5938) Acc@5: 100.0000 (100.0000) Time: 2.236s, 57.26/s (2.236s, 57.26/s) LR: 6.099e-04 Data: 1.936 (1.936) +2024-12-27 14:05:27,247 - train: [ INFO] - Train: 10 [ 46/47 (100%)] Loss: 1.462435 (1.4786) Acc@1: 88.2812 (85.9375) Acc@5: 99.2188 (99.6094) Time: 0.250s, 512.24/s (0.269s, 476.23/s) LR: 6.099e-04 Data: 0.000 (0.042) +2024-12-27 14:05:28,995 - train: [ INFO] - Eval : 10 Time: 1.519 (1.519) Loss: 0.4974 (0.4974) Acc@1: 89.0625 (89.0625)Acc@5: 100.0000 (100.0000) +2024-12-27 14:05:32,038 - train: [ INFO] - Eval : 10 Time: 0.074 (0.217) Loss: 0.6509 (0.5220) Acc@1: 85.0000 (87.6336)Acc@5: 98.3333 (99.6565) +2024-12-27 14:05:34,079 - train: [ INFO] - Train: 11 [ 0/47 ( 0%)] Loss: 1.395523 (1.3955) Acc@1: 89.0625 (89.0625) Acc@5: 100.0000 (100.0000) Time: 1.707s, 74.99/s (1.707s, 74.99/s) LR: 6.068e-04 Data: 1.430 (1.430) +2024-12-27 14:05:44,518 - train: [ INFO] - Train: 11 [ 46/47 (100%)] Loss: 1.334735 (1.3651) Acc@1: 91.4062 (90.2344) Acc@5: 100.0000 (100.0000) Time: 0.206s, 621.10/s (0.257s, 497.23/s) LR: 6.068e-04 Data: 0.000 (0.031) +2024-12-27 14:05:46,145 - train: [ INFO] - Eval : 11 Time: 1.448 (1.448) Loss: 0.5142 (0.5142) Acc@1: 82.8125 (82.8125)Acc@5: 100.0000 (100.0000) +2024-12-27 14:05:50,115 - train: [ INFO] - Eval : 11 Time: 0.051 (0.258) Loss: 0.5731 (0.5108) Acc@1: 81.6667 (86.3740)Acc@5: 100.0000 (99.6947) +2024-12-27 14:05:52,469 - train: [ INFO] - Train: 12 [ 0/47 ( 0%)] Loss: 1.378458 (1.3785) Acc@1: 90.6250 (90.6250) Acc@5: 99.2188 (99.2188) Time: 1.991s, 64.29/s (1.991s, 64.29/s) LR: 6.034e-04 Data: 1.674 (1.674) +2024-12-27 14:06:02,775 - train: [ INFO] - Train: 12 [ 46/47 (100%)] Loss: 1.447780 (1.4131) Acc@1: 89.8438 (90.2344) Acc@5: 100.0000 (99.6094) Time: 0.210s, 608.15/s (0.261s, 490.58/s) LR: 6.034e-04 Data: 0.000 (0.036) +2024-12-27 14:06:04,726 - train: [ INFO] - Eval : 12 Time: 1.778 (1.778) Loss: 0.5677 (0.5677) Acc@1: 85.1562 (85.1562)Acc@5: 100.0000 (100.0000) +2024-12-27 14:06:07,545 - train: [ INFO] - Eval : 12 Time: 0.064 (0.219) Loss: 0.4511 (0.4553) Acc@1: 83.3333 (88.6641)Acc@5: 100.0000 (99.9618) +2024-12-27 14:06:07,937 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-12.pth.tar', 88.66412219564424) + +2024-12-27 14:06:09,617 - train: [ INFO] - Train: 13 [ 0/47 ( 0%)] Loss: 1.376625 (1.3766) Acc@1: 89.8438 (89.8438) Acc@5: 100.0000 (100.0000) Time: 1.670s, 76.63/s (1.670s, 76.63/s) LR: 5.997e-04 Data: 1.373 (1.373) +2024-12-27 14:06:19,939 - train: [ INFO] - Train: 13 [ 46/47 (100%)] Loss: 1.350306 (1.3635) Acc@1: 87.5000 (88.6719) Acc@5: 100.0000 (100.0000) Time: 0.209s, 611.05/s (0.254s, 503.66/s) LR: 5.997e-04 Data: 0.000 (0.030) +2024-12-27 14:06:21,781 - train: [ INFO] - Eval : 13 Time: 1.623 (1.623) Loss: 0.4899 (0.4899) Acc@1: 84.3750 (84.3750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:06:24,864 - train: [ INFO] - Eval : 13 Time: 0.077 (0.224) Loss: 0.3057 (0.3948) Acc@1: 93.3333 (91.5649)Acc@5: 100.0000 (99.8473) +2024-12-27 14:06:25,301 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-13.pth.tar', 91.56488555442286) + +2024-12-27 14:06:27,019 - train: [ INFO] - Train: 14 [ 0/47 ( 0%)] Loss: 1.329054 (1.3291) Acc@1: 92.1875 (92.1875) Acc@5: 100.0000 (100.0000) Time: 1.704s, 75.12/s (1.704s, 75.12/s) LR: 5.957e-04 Data: 1.394 (1.394) +2024-12-27 14:06:37,324 - train: [ INFO] - Train: 14 [ 46/47 (100%)] Loss: 1.390889 (1.3600) Acc@1: 91.4062 (91.7969) Acc@5: 100.0000 (100.0000) Time: 0.210s, 609.95/s (0.255s, 502.89/s) LR: 5.957e-04 Data: 0.000 (0.031) +2024-12-27 14:06:38,895 - train: [ INFO] - Eval : 14 Time: 1.419 (1.419) Loss: 0.3803 (0.3803) Acc@1: 94.5312 (94.5312)Acc@5: 100.0000 (100.0000) +2024-12-27 14:06:41,318 - train: [ INFO] - Eval : 14 Time: 0.055 (0.183) Loss: 0.3844 (0.3783) Acc@1: 95.0000 (92.9389)Acc@5: 100.0000 (99.8855) +2024-12-27 14:06:41,584 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-14.pth.tar', 92.93893147242888) + +2024-12-27 14:06:43,577 - train: [ INFO] - Train: 15 [ 0/47 ( 0%)] Loss: 1.321533 (1.3215) Acc@1: 91.4062 (91.4062) Acc@5: 100.0000 (100.0000) Time: 1.985s, 64.47/s (1.985s, 64.47/s) LR: 5.915e-04 Data: 1.695 (1.695) +2024-12-27 14:06:54,922 - train: [ INFO] - Train: 15 [ 46/47 (100%)] Loss: 1.298705 (1.3101) Acc@1: 90.6250 (91.0156) Acc@5: 100.0000 (100.0000) Time: 0.220s, 580.98/s (0.282s, 453.99/s) LR: 5.915e-04 Data: 0.000 (0.061) +2024-12-27 14:06:56,791 - train: [ INFO] - Eval : 15 Time: 1.670 (1.670) Loss: 0.2907 (0.2907) Acc@1: 94.5312 (94.5312)Acc@5: 100.0000 (100.0000) +2024-12-27 14:07:00,000 - train: [ INFO] - Eval : 15 Time: 0.066 (0.232) Loss: 0.4122 (0.3461) Acc@1: 90.0000 (93.0534)Acc@5: 100.0000 (99.9237) +2024-12-27 14:07:00,232 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-15.pth.tar', 93.05343528922278) + +2024-12-27 14:07:02,128 - train: [ INFO] - Train: 16 [ 0/47 ( 0%)] Loss: 1.325445 (1.3254) Acc@1: 89.0625 (89.0625) Acc@5: 100.0000 (100.0000) Time: 1.887s, 67.85/s (1.887s, 67.85/s) LR: 5.870e-04 Data: 1.590 (1.590) +2024-12-27 14:07:12,498 - train: [ INFO] - Train: 16 [ 46/47 (100%)] Loss: 1.318889 (1.3222) Acc@1: 91.4062 (90.2344) Acc@5: 100.0000 (100.0000) Time: 0.212s, 603.19/s (0.260s, 492.78/s) LR: 5.870e-04 Data: 0.000 (0.035) +2024-12-27 14:07:15,068 - train: [ INFO] - Eval : 16 Time: 2.406 (2.406) Loss: 0.3515 (0.3515) Acc@1: 91.4062 (91.4062)Acc@5: 100.0000 (100.0000) +2024-12-27 14:07:18,757 - train: [ INFO] - Eval : 16 Time: 0.051 (0.290) Loss: 0.3489 (0.3875) Acc@1: 88.3333 (91.2977)Acc@5: 100.0000 (99.9237) +2024-12-27 14:07:20,879 - train: [ INFO] - Train: 17 [ 0/47 ( 0%)] Loss: 1.207666 (1.2077) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 1.886s, 67.85/s (1.886s, 67.85/s) LR: 5.822e-04 Data: 1.571 (1.571) +2024-12-27 14:07:31,412 - train: [ INFO] - Train: 17 [ 46/47 (100%)] Loss: 1.255460 (1.2316) Acc@1: 95.3125 (94.9219) Acc@5: 100.0000 (100.0000) Time: 0.245s, 522.02/s (0.263s, 487.30/s) LR: 5.822e-04 Data: 0.000 (0.035) +2024-12-27 14:07:32,902 - train: [ INFO] - Eval : 17 Time: 1.331 (1.331) Loss: 0.2773 (0.2773) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2024-12-27 14:07:35,662 - train: [ INFO] - Eval : 17 Time: 0.054 (0.195) Loss: 0.3335 (0.3271) Acc@1: 96.6667 (93.4733)Acc@5: 100.0000 (99.9237) +2024-12-27 14:07:36,122 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-17.pth.tar', 93.4732825592274) + +2024-12-27 14:07:37,903 - train: [ INFO] - Train: 18 [ 0/47 ( 0%)] Loss: 1.238512 (1.2385) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.773s, 72.21/s (1.773s, 72.21/s) LR: 5.771e-04 Data: 1.461 (1.461) +2024-12-27 14:07:48,337 - train: [ INFO] - Train: 18 [ 46/47 (100%)] Loss: 1.226020 (1.2323) Acc@1: 95.3125 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.213s, 600.41/s (0.258s, 496.18/s) LR: 5.771e-04 Data: 0.000 (0.032) +2024-12-27 14:07:50,389 - train: [ INFO] - Eval : 18 Time: 1.832 (1.832) Loss: 0.3721 (0.3721) Acc@1: 89.8438 (89.8438)Acc@5: 100.0000 (100.0000) +2024-12-27 14:07:53,565 - train: [ INFO] - Eval : 18 Time: 0.050 (0.238) Loss: 0.4823 (0.3280) Acc@1: 85.0000 (91.9466)Acc@5: 100.0000 (99.9237) +2024-12-27 14:07:55,657 - train: [ INFO] - Train: 19 [ 0/47 ( 0%)] Loss: 1.215732 (1.2157) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 1.807s, 70.84/s (1.807s, 70.84/s) LR: 5.718e-04 Data: 1.492 (1.492) +2024-12-27 14:08:06,124 - train: [ INFO] - Train: 19 [ 46/47 (100%)] Loss: 1.264121 (1.2399) Acc@1: 96.0938 (95.7031) Acc@5: 100.0000 (100.0000) Time: 0.235s, 545.68/s (0.260s, 492.37/s) LR: 5.718e-04 Data: 0.000 (0.033) +2024-12-27 14:08:08,067 - train: [ INFO] - Eval : 19 Time: 1.692 (1.692) Loss: 0.3018 (0.3018) Acc@1: 93.7500 (93.7500)Acc@5: 100.0000 (100.0000) +2024-12-27 14:08:11,453 - train: [ INFO] - Eval : 19 Time: 0.054 (0.242) Loss: 0.3085 (0.3249) Acc@1: 96.6667 (93.0534)Acc@5: 100.0000 (99.8092) +2024-12-27 14:08:14,348 - train: [ INFO] - Train: 20 [ 0/47 ( 0%)] Loss: 1.296746 (1.2967) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.575s, 49.72/s (2.575s, 49.72/s) LR: 5.663e-04 Data: 2.272 (2.272) +2024-12-27 14:08:25,088 - train: [ INFO] - Train: 20 [ 46/47 (100%)] Loss: 1.204959 (1.2509) Acc@1: 96.0938 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.207s, 616.91/s (0.282s, 453.74/s) LR: 5.663e-04 Data: 0.000 (0.058) +2024-12-27 14:08:26,881 - train: [ INFO] - Eval : 20 Time: 1.601 (1.601) Loss: 0.3044 (0.3044) Acc@1: 94.5312 (94.5312)Acc@5: 100.0000 (100.0000) +2024-12-27 14:08:29,763 - train: [ INFO] - Eval : 20 Time: 0.070 (0.213) Loss: 0.4387 (0.3466) Acc@1: 88.3333 (92.3282)Acc@5: 100.0000 (99.9237) +2024-12-27 14:08:31,883 - train: [ INFO] - Train: 21 [ 0/47 ( 0%)] Loss: 1.221476 (1.2215) Acc@1: 94.5312 (94.5312) Acc@5: 100.0000 (100.0000) Time: 1.768s, 72.38/s (1.768s, 72.38/s) LR: 5.605e-04 Data: 1.443 (1.443) +2024-12-27 14:08:42,348 - train: [ INFO] - Train: 21 [ 46/47 (100%)] Loss: 1.200049 (1.2108) Acc@1: 98.4375 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.211s, 605.35/s (0.259s, 493.28/s) LR: 5.605e-04 Data: 0.000 (0.032) +2024-12-27 14:08:44,266 - train: [ INFO] - Eval : 21 Time: 1.584 (1.584) Loss: 0.4607 (0.4607) Acc@1: 85.9375 (85.9375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:08:47,362 - train: [ INFO] - Eval : 21 Time: 0.076 (0.223) Loss: 0.2875 (0.3580) Acc@1: 91.6667 (90.2672)Acc@5: 100.0000 (99.9618) +2024-12-27 14:08:49,441 - train: [ INFO] - Train: 22 [ 0/47 ( 0%)] Loss: 1.227812 (1.2278) Acc@1: 93.7500 (93.7500) Acc@5: 100.0000 (100.0000) Time: 1.692s, 75.66/s (1.692s, 75.66/s) LR: 5.544e-04 Data: 1.424 (1.424) +2024-12-27 14:08:59,880 - train: [ INFO] - Train: 22 [ 46/47 (100%)] Loss: 1.242332 (1.2351) Acc@1: 95.3125 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.215s, 594.78/s (0.257s, 498.95/s) LR: 5.544e-04 Data: 0.000 (0.032) +2024-12-27 14:09:01,595 - train: [ INFO] - Eval : 22 Time: 1.500 (1.500) Loss: 0.2877 (0.2877) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:09:03,835 - train: [ INFO] - Eval : 22 Time: 0.078 (0.178) Loss: 0.3336 (0.2917) Acc@1: 90.0000 (94.3130)Acc@5: 100.0000 (99.8855) +2024-12-27 14:09:04,775 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-22.pth.tar', 94.3129772739556) + +2024-12-27 14:09:07,006 - train: [ INFO] - Train: 23 [ 0/47 ( 0%)] Loss: 1.193747 (1.1937) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 2.220s, 57.65/s (2.220s, 57.65/s) LR: 5.482e-04 Data: 1.904 (1.904) +2024-12-27 14:09:17,642 - train: [ INFO] - Train: 23 [ 46/47 (100%)] Loss: 1.179532 (1.1866) Acc@1: 93.7500 (94.5312) Acc@5: 100.0000 (100.0000) Time: 0.215s, 595.27/s (0.273s, 469.39/s) LR: 5.482e-04 Data: 0.000 (0.042) +2024-12-27 14:09:19,178 - train: [ INFO] - Eval : 23 Time: 1.370 (1.370) Loss: 0.2419 (0.2419) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:09:21,746 - train: [ INFO] - Eval : 23 Time: 0.070 (0.188) Loss: 0.1835 (0.2844) Acc@1: 96.6667 (94.2748)Acc@5: 100.0000 (99.9237) +2024-12-27 14:09:23,871 - train: [ INFO] - Train: 24 [ 0/47 ( 0%)] Loss: 1.126553 (1.1266) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.761s, 72.70/s (1.761s, 72.70/s) LR: 5.417e-04 Data: 1.474 (1.474) +2024-12-27 14:09:34,184 - train: [ INFO] - Train: 24 [ 46/47 (100%)] Loss: 1.263812 (1.1952) Acc@1: 96.0938 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.208s, 615.10/s (0.256s, 499.50/s) LR: 5.417e-04 Data: 0.000 (0.032) +2024-12-27 14:09:36,137 - train: [ INFO] - Eval : 24 Time: 1.775 (1.775) Loss: 0.2645 (0.2645) Acc@1: 94.5312 (94.5312)Acc@5: 100.0000 (100.0000) +2024-12-27 14:09:38,735 - train: [ INFO] - Eval : 24 Time: 0.061 (0.208) Loss: 0.2828 (0.2922) Acc@1: 95.0000 (93.7786)Acc@5: 100.0000 (99.9618) +2024-12-27 14:09:40,798 - train: [ INFO] - Train: 25 [ 0/47 ( 0%)] Loss: 1.164436 (1.1644) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.806s, 70.87/s (1.806s, 70.87/s) LR: 5.349e-04 Data: 1.542 (1.542) +2024-12-27 14:09:51,103 - train: [ INFO] - Train: 25 [ 46/47 (100%)] Loss: 1.216764 (1.1906) Acc@1: 96.0938 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.227s, 562.88/s (0.255s, 501.42/s) LR: 5.349e-04 Data: 0.000 (0.034) +2024-12-27 14:09:52,462 - train: [ INFO] - Eval : 25 Time: 1.205 (1.205) Loss: 0.2469 (0.2469) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:09:55,293 - train: [ INFO] - Eval : 25 Time: 0.052 (0.192) Loss: 0.2484 (0.2646) Acc@1: 96.6667 (95.6870)Acc@5: 100.0000 (100.0000) +2024-12-27 14:09:55,616 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-25.pth.tar', 95.68702301724267) + +2024-12-27 14:09:57,249 - train: [ INFO] - Train: 26 [ 0/47 ( 0%)] Loss: 1.126641 (1.1266) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.623s, 78.86/s (1.623s, 78.86/s) LR: 5.280e-04 Data: 1.309 (1.309) +2024-12-27 14:10:07,584 - train: [ INFO] - Train: 26 [ 46/47 (100%)] Loss: 1.174812 (1.1507) Acc@1: 96.8750 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.215s, 596.35/s (0.254s, 504.76/s) LR: 5.280e-04 Data: 0.000 (0.029) +2024-12-27 14:10:09,379 - train: [ INFO] - Eval : 26 Time: 1.651 (1.651) Loss: 0.3000 (0.3000) Acc@1: 92.9688 (92.9688)Acc@5: 100.0000 (100.0000) +2024-12-27 14:10:12,611 - train: [ INFO] - Eval : 26 Time: 0.055 (0.233) Loss: 0.5988 (0.3484) Acc@1: 83.3333 (90.8779)Acc@5: 100.0000 (99.8473) +2024-12-27 14:10:14,731 - train: [ INFO] - Train: 27 [ 0/47 ( 0%)] Loss: 1.138439 (1.1384) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.795s, 71.32/s (1.795s, 71.32/s) LR: 5.209e-04 Data: 1.496 (1.496) +2024-12-27 14:10:25,269 - train: [ INFO] - Train: 27 [ 46/47 (100%)] Loss: 1.180199 (1.1593) Acc@1: 95.3125 (95.7031) Acc@5: 100.0000 (100.0000) Time: 0.212s, 604.93/s (0.261s, 489.98/s) LR: 5.209e-04 Data: 0.000 (0.033) +2024-12-27 14:10:26,681 - train: [ INFO] - Eval : 27 Time: 1.268 (1.268) Loss: 0.3190 (0.3190) Acc@1: 92.1875 (92.1875)Acc@5: 100.0000 (100.0000) +2024-12-27 14:10:29,186 - train: [ INFO] - Eval : 27 Time: 0.059 (0.180) Loss: 0.2042 (0.2601) Acc@1: 96.6667 (95.8397)Acc@5: 100.0000 (99.9237) +2024-12-27 14:10:29,416 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-27.pth.tar', 95.83969477296786) + +2024-12-27 14:10:31,372 - train: [ INFO] - Train: 28 [ 0/47 ( 0%)] Loss: 1.185999 (1.1860) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.868s, 68.50/s (1.868s, 68.50/s) LR: 5.135e-04 Data: 1.546 (1.546) +2024-12-27 14:10:41,596 - train: [ INFO] - Train: 28 [ 46/47 (100%)] Loss: 1.199768 (1.1929) Acc@1: 94.5312 (95.3125) Acc@5: 100.0000 (100.0000) Time: 0.202s, 632.47/s (0.256s, 499.66/s) LR: 5.135e-04 Data: 0.000 (0.034) +2024-12-27 14:10:43,499 - train: [ INFO] - Eval : 28 Time: 1.742 (1.742) Loss: 0.2340 (0.2340) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:10:46,528 - train: [ INFO] - Eval : 28 Time: 0.076 (0.227) Loss: 0.2794 (0.2777) Acc@1: 93.3333 (94.3130)Acc@5: 100.0000 (99.9618) +2024-12-27 14:10:48,811 - train: [ INFO] - Train: 29 [ 0/47 ( 0%)] Loss: 1.124650 (1.1247) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 2.034s, 62.93/s (2.034s, 62.93/s) LR: 5.060e-04 Data: 1.710 (1.710) +2024-12-27 14:10:59,325 - train: [ INFO] - Train: 29 [ 46/47 (100%)] Loss: 1.170817 (1.1477) Acc@1: 93.7500 (95.7031) Acc@5: 100.0000 (100.0000) Time: 0.215s, 596.24/s (0.266s, 481.17/s) LR: 5.060e-04 Data: 0.000 (0.038) +2024-12-27 14:11:01,359 - train: [ INFO] - Eval : 29 Time: 1.874 (1.874) Loss: 0.3463 (0.3463) Acc@1: 89.8438 (89.8438)Acc@5: 100.0000 (100.0000) +2024-12-27 14:11:04,206 - train: [ INFO] - Eval : 29 Time: 0.070 (0.225) Loss: 0.2759 (0.2907) Acc@1: 91.6667 (93.5496)Acc@5: 100.0000 (99.9618) +2024-12-27 14:11:06,473 - train: [ INFO] - Train: 30 [ 0/47 ( 0%)] Loss: 1.169225 (1.1692) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.894s, 67.59/s (1.894s, 67.59/s) LR: 4.982e-04 Data: 1.575 (1.575) +2024-12-27 14:11:17,817 - train: [ INFO] - Train: 30 [ 46/47 (100%)] Loss: 1.187660 (1.1784) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 0.208s, 614.29/s (0.280s, 456.68/s) LR: 4.982e-04 Data: 0.000 (0.055) +2024-12-27 14:11:19,236 - train: [ INFO] - Eval : 30 Time: 1.238 (1.238) Loss: 0.2394 (0.2394) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2024-12-27 14:11:21,638 - train: [ INFO] - Eval : 30 Time: 0.058 (0.173) Loss: 0.2600 (0.2429) Acc@1: 96.6667 (95.8015)Acc@5: 100.0000 (99.9618) +2024-12-27 14:11:23,792 - train: [ INFO] - Train: 31 [ 0/47 ( 0%)] Loss: 1.129707 (1.1297) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.885s, 67.92/s (1.885s, 67.92/s) LR: 4.903e-04 Data: 1.558 (1.558) +2024-12-27 14:11:34,353 - train: [ INFO] - Train: 31 [ 46/47 (100%)] Loss: 1.119674 (1.1247) Acc@1: 96.0938 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.211s, 607.23/s (0.263s, 485.93/s) LR: 4.903e-04 Data: 0.000 (0.034) +2024-12-27 14:11:36,178 - train: [ INFO] - Eval : 31 Time: 1.672 (1.672) Loss: 0.2686 (0.2686) Acc@1: 95.3125 (95.3125)Acc@5: 100.0000 (100.0000) +2024-12-27 14:11:39,888 - train: [ INFO] - Eval : 31 Time: 0.069 (0.257) Loss: 0.1875 (0.2571) Acc@1: 96.6667 (95.0382)Acc@5: 100.0000 (99.9618) +2024-12-27 14:11:42,339 - train: [ INFO] - Train: 32 [ 0/47 ( 0%)] Loss: 1.125995 (1.1260) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 2.137s, 59.89/s (2.137s, 59.89/s) LR: 4.823e-04 Data: 1.807 (1.807) +2024-12-27 14:11:52,740 - train: [ INFO] - Train: 32 [ 46/47 (100%)] Loss: 1.109920 (1.1180) Acc@1: 97.6562 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.226s, 566.97/s (0.266s, 481.44/s) LR: 4.823e-04 Data: 0.000 (0.039) +2024-12-27 14:11:54,663 - train: [ INFO] - Eval : 32 Time: 1.706 (1.706) Loss: 0.2730 (0.2730) Acc@1: 92.9688 (92.9688)Acc@5: 100.0000 (100.0000) +2024-12-27 14:11:57,497 - train: [ INFO] - Eval : 32 Time: 0.067 (0.216) Loss: 0.3543 (0.2540) Acc@1: 93.3333 (95.3053)Acc@5: 100.0000 (100.0000) +2024-12-27 14:12:00,174 - train: [ INFO] - Train: 33 [ 0/47 ( 0%)] Loss: 1.196798 (1.1968) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 2.357s, 54.30/s (2.357s, 54.30/s) LR: 4.740e-04 Data: 2.062 (2.062) +2024-12-27 14:12:10,462 - train: [ INFO] - Train: 33 [ 46/47 (100%)] Loss: 1.101616 (1.1492) Acc@1: 97.6562 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.221s, 577.95/s (0.268s, 477.77/s) LR: 4.740e-04 Data: 0.000 (0.045) +2024-12-27 14:12:12,223 - train: [ INFO] - Eval : 33 Time: 1.553 (1.553) Loss: 0.2855 (0.2855) Acc@1: 93.7500 (93.7500)Acc@5: 100.0000 (100.0000) +2024-12-27 14:12:15,312 - train: [ INFO] - Eval : 33 Time: 0.081 (0.221) Loss: 0.2980 (0.2732) Acc@1: 91.6667 (93.9313)Acc@5: 100.0000 (100.0000) +2024-12-27 14:12:17,256 - train: [ INFO] - Train: 34 [ 0/47 ( 0%)] Loss: 1.096733 (1.0967) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.614s, 79.29/s (1.614s, 79.29/s) LR: 4.656e-04 Data: 1.310 (1.310) +2024-12-27 14:12:27,815 - train: [ INFO] - Train: 34 [ 46/47 (100%)] Loss: 1.153676 (1.1252) Acc@1: 93.7500 (95.3125) Acc@5: 99.2188 (99.6094) Time: 0.208s, 616.02/s (0.257s, 497.70/s) LR: 4.656e-04 Data: 0.000 (0.029) +2024-12-27 14:12:29,296 - train: [ INFO] - Eval : 34 Time: 1.282 (1.282) Loss: 0.2591 (0.2591) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:12:31,674 - train: [ INFO] - Eval : 34 Time: 0.061 (0.174) Loss: 0.1635 (0.2334) Acc@1: 100.0000 (95.8015)Acc@5: 100.0000 (100.0000) +2024-12-27 14:12:34,277 - train: [ INFO] - Train: 35 [ 0/47 ( 0%)] Loss: 1.092887 (1.0929) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 2.197s, 58.27/s (2.197s, 58.27/s) LR: 4.571e-04 Data: 1.831 (1.831) +2024-12-27 14:12:45,731 - train: [ INFO] - Train: 35 [ 46/47 (100%)] Loss: 1.055486 (1.0742) Acc@1: 99.2188 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.216s, 591.56/s (0.290s, 442.02/s) LR: 4.571e-04 Data: 0.000 (0.063) +2024-12-27 14:12:47,233 - train: [ INFO] - Eval : 35 Time: 1.334 (1.334) Loss: 0.2673 (0.2673) Acc@1: 92.9688 (92.9688)Acc@5: 100.0000 (100.0000) +2024-12-27 14:12:49,593 - train: [ INFO] - Eval : 35 Time: 0.053 (0.176) Loss: 0.2336 (0.2335) Acc@1: 96.6667 (95.8015)Acc@5: 100.0000 (99.9618) +2024-12-27 14:12:52,094 - train: [ INFO] - Train: 36 [ 0/47 ( 0%)] Loss: 1.116651 (1.1167) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.151s, 59.52/s (2.151s, 59.52/s) LR: 4.484e-04 Data: 1.839 (1.839) +2024-12-27 14:13:02,175 - train: [ INFO] - Train: 36 [ 46/47 (100%)] Loss: 1.129136 (1.1229) Acc@1: 96.8750 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.205s, 622.92/s (0.259s, 493.51/s) LR: 4.484e-04 Data: 0.000 (0.040) +2024-12-27 14:13:04,234 - train: [ INFO] - Eval : 36 Time: 1.907 (1.907) Loss: 0.2519 (0.2519) Acc@1: 94.5312 (94.5312)Acc@5: 100.0000 (100.0000) +2024-12-27 14:13:07,796 - train: [ INFO] - Eval : 36 Time: 0.055 (0.260) Loss: 0.2711 (0.2450) Acc@1: 93.3333 (94.8473)Acc@5: 100.0000 (100.0000) +2024-12-27 14:13:10,381 - train: [ INFO] - Train: 37 [ 0/47 ( 0%)] Loss: 1.130058 (1.1301) Acc@1: 98.4375 (98.4375) Acc@5: 99.2188 (99.2188) Time: 2.247s, 56.96/s (2.247s, 56.96/s) LR: 4.396e-04 Data: 1.942 (1.942) +2024-12-27 14:13:21,013 - train: [ INFO] - Train: 37 [ 46/47 (100%)] Loss: 1.110873 (1.1205) Acc@1: 97.6562 (98.0469) Acc@5: 100.0000 (99.6094) Time: 0.228s, 561.88/s (0.272s, 470.27/s) LR: 4.396e-04 Data: 0.000 (0.043) +2024-12-27 14:13:22,871 - train: [ INFO] - Eval : 37 Time: 1.653 (1.653) Loss: 0.2576 (0.2576) Acc@1: 92.9688 (92.9688)Acc@5: 100.0000 (100.0000) +2024-12-27 14:13:25,905 - train: [ INFO] - Eval : 37 Time: 0.071 (0.223) Loss: 0.2055 (0.2282) Acc@1: 95.0000 (96.6031)Acc@5: 100.0000 (100.0000) +2024-12-27 14:13:26,250 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-37.pth.tar', 96.60305360983347) + +2024-12-27 14:13:28,054 - train: [ INFO] - Train: 38 [ 0/47 ( 0%)] Loss: 1.084266 (1.0843) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.796s, 71.27/s (1.796s, 71.27/s) LR: 4.307e-04 Data: 1.430 (1.430) +2024-12-27 14:13:38,085 - train: [ INFO] - Train: 38 [ 46/47 (100%)] Loss: 1.102874 (1.0936) Acc@1: 96.0938 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.215s, 594.65/s (0.250s, 512.14/s) LR: 4.307e-04 Data: 0.000 (0.031) +2024-12-27 14:13:39,866 - train: [ INFO] - Eval : 38 Time: 1.623 (1.623) Loss: 0.2423 (0.2423) Acc@1: 94.5312 (94.5312)Acc@5: 100.0000 (100.0000) +2024-12-27 14:13:42,420 - train: [ INFO] - Eval : 38 Time: 0.047 (0.199) Loss: 0.2996 (0.2183) Acc@1: 93.3333 (96.7557)Acc@5: 100.0000 (99.9618) +2024-12-27 14:13:42,680 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-38.pth.tar', 96.75572524907935) + +2024-12-27 14:13:44,536 - train: [ INFO] - Train: 39 [ 0/47 ( 0%)] Loss: 1.063562 (1.0636) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.807s, 70.85/s (1.807s, 70.85/s) LR: 4.217e-04 Data: 1.486 (1.486) +2024-12-27 14:13:54,607 - train: [ INFO] - Train: 39 [ 46/47 (100%)] Loss: 1.126435 (1.0950) Acc@1: 96.0938 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.208s, 614.14/s (0.252s, 508.14/s) LR: 4.217e-04 Data: 0.000 (0.032) +2024-12-27 14:13:56,141 - train: [ INFO] - Eval : 39 Time: 1.347 (1.347) Loss: 0.1989 (0.1989) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:13:58,668 - train: [ INFO] - Eval : 39 Time: 0.070 (0.185) Loss: 0.1805 (0.2203) Acc@1: 96.6667 (95.9160)Acc@5: 100.0000 (100.0000) +2024-12-27 14:14:00,864 - train: [ INFO] - Train: 40 [ 0/47 ( 0%)] Loss: 1.098376 (1.0984) Acc@1: 98.4375 (98.4375) Acc@5: 99.2188 (99.2188) Time: 1.833s, 69.82/s (1.833s, 69.82/s) LR: 4.125e-04 Data: 1.482 (1.482) +2024-12-27 14:14:11,669 - train: [ INFO] - Train: 40 [ 46/47 (100%)] Loss: 1.153139 (1.1258) Acc@1: 96.0938 (97.2656) Acc@5: 100.0000 (99.6094) Time: 0.219s, 584.78/s (0.268s, 477.77/s) LR: 4.125e-04 Data: 0.000 (0.044) +2024-12-27 14:14:13,335 - train: [ INFO] - Eval : 40 Time: 1.463 (1.463) Loss: 0.2447 (0.2447) Acc@1: 92.9688 (92.9688)Acc@5: 100.0000 (100.0000) +2024-12-27 14:14:15,786 - train: [ INFO] - Eval : 40 Time: 0.099 (0.186) Loss: 0.3821 (0.2406) Acc@1: 90.0000 (95.1527)Acc@5: 100.0000 (100.0000) +2024-12-27 14:14:17,981 - train: [ INFO] - Train: 41 [ 0/47 ( 0%)] Loss: 1.087409 (1.0874) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.910s, 67.02/s (1.910s, 67.02/s) LR: 4.033e-04 Data: 1.595 (1.595) +2024-12-27 14:14:28,227 - train: [ INFO] - Train: 41 [ 46/47 (100%)] Loss: 1.052704 (1.0701) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.207s, 616.98/s (0.257s, 497.09/s) LR: 4.033e-04 Data: 0.000 (0.035) +2024-12-27 14:14:30,003 - train: [ INFO] - Eval : 41 Time: 1.586 (1.586) Loss: 0.1799 (0.1799) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:14:32,860 - train: [ INFO] - Eval : 41 Time: 0.070 (0.212) Loss: 0.2230 (0.2063) Acc@1: 96.6667 (96.5649)Acc@5: 100.0000 (100.0000) +2024-12-27 14:14:35,570 - train: [ INFO] - Train: 42 [ 0/47 ( 0%)] Loss: 1.063051 (1.0631) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.475s, 86.77/s (1.475s, 86.77/s) LR: 3.940e-04 Data: 1.197 (1.197) +2024-12-27 14:14:46,090 - train: [ INFO] - Train: 42 [ 46/47 (100%)] Loss: 1.080950 (1.0720) Acc@1: 98.4375 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.228s, 560.60/s (0.254s, 503.23/s) LR: 3.940e-04 Data: 0.000 (0.038) +2024-12-27 14:14:47,712 - train: [ INFO] - Eval : 42 Time: 1.471 (1.471) Loss: 0.1831 (0.1831) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:14:50,742 - train: [ INFO] - Eval : 42 Time: 0.053 (0.214) Loss: 0.2016 (0.2217) Acc@1: 95.0000 (96.5267)Acc@5: 100.0000 (100.0000) +2024-12-27 14:14:53,636 - train: [ INFO] - Train: 43 [ 0/47 ( 0%)] Loss: 1.040480 (1.0405) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.459s, 52.06/s (2.459s, 52.06/s) LR: 3.846e-04 Data: 2.140 (2.140) +2024-12-27 14:15:03,895 - train: [ INFO] - Train: 43 [ 46/47 (100%)] Loss: 0.979344 (1.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.222s, 576.66/s (0.269s, 475.72/s) LR: 3.846e-04 Data: 0.000 (0.046) +2024-12-27 14:15:06,089 - train: [ INFO] - Eval : 43 Time: 2.004 (2.004) Loss: 0.2086 (0.2086) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:15:09,464 - train: [ INFO] - Eval : 43 Time: 0.061 (0.256) Loss: 0.1974 (0.2203) Acc@1: 96.6667 (96.6031)Acc@5: 100.0000 (100.0000) +2024-12-27 14:15:11,472 - train: [ INFO] - Train: 44 [ 0/47 ( 0%)] Loss: 1.052746 (1.0527) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.790s, 71.50/s (1.790s, 71.50/s) LR: 3.751e-04 Data: 1.482 (1.482) +2024-12-27 14:15:21,803 - train: [ INFO] - Train: 44 [ 46/47 (100%)] Loss: 1.011622 (1.0322) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.207s, 619.15/s (0.257s, 498.48/s) LR: 3.751e-04 Data: 0.000 (0.033) +2024-12-27 14:15:23,287 - train: [ INFO] - Eval : 44 Time: 1.336 (1.336) Loss: 0.2362 (0.2362) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:15:25,683 - train: [ INFO] - Eval : 44 Time: 0.104 (0.178) Loss: 0.1612 (0.2203) Acc@1: 98.3333 (96.7557)Acc@5: 100.0000 (100.0000) +2024-12-27 14:15:27,685 - train: [ INFO] - Train: 45 [ 0/47 ( 0%)] Loss: 1.083375 (1.0834) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.682s, 76.08/s (1.682s, 76.08/s) LR: 3.656e-04 Data: 1.382 (1.382) +2024-12-27 14:15:38,156 - train: [ INFO] - Train: 45 [ 46/47 (100%)] Loss: 1.057401 (1.0704) Acc@1: 96.8750 (96.4844) Acc@5: 100.0000 (100.0000) Time: 0.231s, 554.42/s (0.257s, 498.49/s) LR: 3.656e-04 Data: 0.000 (0.032) +2024-12-27 14:15:39,625 - train: [ INFO] - Eval : 45 Time: 1.297 (1.297) Loss: 0.2094 (0.2094) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:15:41,983 - train: [ INFO] - Eval : 45 Time: 0.062 (0.174) Loss: 0.2536 (0.2118) Acc@1: 93.3333 (96.5267)Acc@5: 100.0000 (99.9618) +2024-12-27 14:15:44,387 - train: [ INFO] - Train: 46 [ 0/47 ( 0%)] Loss: 1.101320 (1.1013) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 2.054s, 62.30/s (2.054s, 62.30/s) LR: 3.560e-04 Data: 1.736 (1.736) +2024-12-27 14:15:54,590 - train: [ INFO] - Train: 46 [ 46/47 (100%)] Loss: 1.078690 (1.0900) Acc@1: 97.6562 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.209s, 612.82/s (0.260s, 493.17/s) LR: 3.560e-04 Data: 0.000 (0.038) +2024-12-27 14:15:55,987 - train: [ INFO] - Eval : 46 Time: 1.225 (1.225) Loss: 0.2108 (0.2108) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:15:57,894 - train: [ INFO] - Eval : 46 Time: 0.058 (0.149) Loss: 0.2711 (0.2045) Acc@1: 93.3333 (96.6031)Acc@5: 100.0000 (100.0000) +2024-12-27 14:15:59,907 - train: [ INFO] - Train: 47 [ 0/47 ( 0%)] Loss: 1.115902 (1.1159) Acc@1: 96.0938 (96.0938) Acc@5: 100.0000 (100.0000) Time: 1.706s, 75.01/s (1.706s, 75.01/s) LR: 3.464e-04 Data: 1.417 (1.417) +2024-12-27 14:16:10,800 - train: [ INFO] - Train: 47 [ 46/47 (100%)] Loss: 1.136995 (1.1264) Acc@1: 97.6562 (96.8750) Acc@5: 100.0000 (100.0000) Time: 0.211s, 606.04/s (0.265s, 482.38/s) LR: 3.464e-04 Data: 0.000 (0.047) +2024-12-27 14:16:12,394 - train: [ INFO] - Eval : 47 Time: 1.445 (1.445) Loss: 0.1926 (0.1926) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:16:15,337 - train: [ INFO] - Eval : 47 Time: 0.073 (0.209) Loss: 0.2108 (0.2138) Acc@1: 98.3333 (96.3359)Acc@5: 100.0000 (100.0000) +2024-12-27 14:16:17,413 - train: [ INFO] - Train: 48 [ 0/47 ( 0%)] Loss: 1.081853 (1.0819) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.783s, 71.77/s (1.783s, 71.77/s) LR: 3.368e-04 Data: 1.482 (1.482) +2024-12-27 14:16:27,579 - train: [ INFO] - Train: 48 [ 46/47 (100%)] Loss: 1.024336 (1.0531) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.210s, 610.18/s (0.253s, 506.54/s) LR: 3.368e-04 Data: 0.000 (0.032) +2024-12-27 14:16:29,862 - train: [ INFO] - Eval : 48 Time: 2.098 (2.098) Loss: 0.2213 (0.2213) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:16:33,939 - train: [ INFO] - Eval : 48 Time: 0.052 (0.294) Loss: 0.2272 (0.2245) Acc@1: 98.3333 (96.2214)Acc@5: 100.0000 (100.0000) +2024-12-27 14:16:36,130 - train: [ INFO] - Train: 49 [ 0/47 ( 0%)] Loss: 1.090582 (1.0906) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.863s, 68.71/s (1.863s, 68.71/s) LR: 3.272e-04 Data: 1.565 (1.565) +2024-12-27 14:16:46,694 - train: [ INFO] - Train: 49 [ 46/47 (100%)] Loss: 1.026454 (1.0585) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.213s, 601.73/s (0.263s, 487.19/s) LR: 3.272e-04 Data: 0.000 (0.035) +2024-12-27 14:16:48,448 - train: [ INFO] - Eval : 49 Time: 1.592 (1.592) Loss: 0.1875 (0.1875) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2024-12-27 14:16:51,687 - train: [ INFO] - Eval : 49 Time: 0.080 (0.230) Loss: 0.2428 (0.2152) Acc@1: 96.6667 (96.0687)Acc@5: 100.0000 (100.0000) +2024-12-27 14:16:53,428 - train: [ INFO] - Train: 50 [ 0/47 ( 0%)] Loss: 1.035644 (1.0356) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.383s, 92.55/s (1.383s, 92.55/s) LR: 3.175e-04 Data: 1.126 (1.126) +2024-12-27 14:17:03,814 - train: [ INFO] - Train: 50 [ 46/47 (100%)] Loss: 1.053412 (1.0445) Acc@1: 98.4375 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.210s, 609.15/s (0.250s, 512.61/s) LR: 3.175e-04 Data: 0.000 (0.025) +2024-12-27 14:17:05,525 - train: [ INFO] - Eval : 50 Time: 1.558 (1.558) Loss: 0.1683 (0.1683) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:17:08,346 - train: [ INFO] - Eval : 50 Time: 0.049 (0.209) Loss: 0.1610 (0.1962) Acc@1: 96.6667 (96.9084)Acc@5: 100.0000 (100.0000) +2024-12-27 14:17:08,629 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-50.pth.tar', 96.90839706304419) + +2024-12-27 14:17:10,360 - train: [ INFO] - Train: 51 [ 0/47 ( 0%)] Loss: 1.024439 (1.0244) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.644s, 77.84/s (1.644s, 77.84/s) LR: 3.078e-04 Data: 1.316 (1.316) +2024-12-27 14:17:20,851 - train: [ INFO] - Train: 51 [ 46/47 (100%)] Loss: 1.022505 (1.0235) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.219s, 584.08/s (0.257s, 497.99/s) LR: 3.078e-04 Data: 0.000 (0.029) +2024-12-27 14:17:22,440 - train: [ INFO] - Eval : 51 Time: 1.404 (1.404) Loss: 0.2551 (0.2551) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:17:25,381 - train: [ INFO] - Eval : 51 Time: 0.071 (0.207) Loss: 0.2474 (0.2099) Acc@1: 93.3333 (96.3740)Acc@5: 100.0000 (100.0000) +2024-12-27 14:17:27,515 - train: [ INFO] - Train: 52 [ 0/47 ( 0%)] Loss: 1.036956 (1.0370) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.814s, 70.58/s (1.814s, 70.58/s) LR: 2.982e-04 Data: 1.510 (1.510) +2024-12-27 14:17:37,961 - train: [ INFO] - Train: 52 [ 46/47 (100%)] Loss: 0.979455 (1.0082) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.207s, 618.28/s (0.260s, 491.94/s) LR: 2.982e-04 Data: 0.000 (0.034) +2024-12-27 14:17:39,872 - train: [ INFO] - Eval : 52 Time: 1.726 (1.726) Loss: 0.1795 (0.1795) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:17:43,172 - train: [ INFO] - Eval : 52 Time: 0.061 (0.239) Loss: 0.2374 (0.2034) Acc@1: 98.3333 (96.8702)Acc@5: 100.0000 (100.0000) +2024-12-27 14:17:45,983 - train: [ INFO] - Train: 53 [ 0/47 ( 0%)] Loss: 1.050270 (1.0503) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.712s, 74.77/s (1.712s, 74.77/s) LR: 2.886e-04 Data: 1.422 (1.422) +2024-12-27 14:17:56,201 - train: [ INFO] - Train: 53 [ 46/47 (100%)] Loss: 1.071424 (1.0608) Acc@1: 97.6562 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.214s, 598.24/s (0.253s, 506.46/s) LR: 2.886e-04 Data: 0.000 (0.031) +2024-12-27 14:17:58,315 - train: [ INFO] - Eval : 53 Time: 1.862 (1.862) Loss: 0.1869 (0.1869) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:18:02,221 - train: [ INFO] - Eval : 53 Time: 0.053 (0.275) Loss: 0.2280 (0.2142) Acc@1: 100.0000 (95.9160)Acc@5: 100.0000 (100.0000) +2024-12-27 14:18:04,221 - train: [ INFO] - Train: 54 [ 0/47 ( 0%)] Loss: 1.006014 (1.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.673s, 76.49/s (1.673s, 76.49/s) LR: 2.790e-04 Data: 1.353 (1.353) +2024-12-27 14:18:14,753 - train: [ INFO] - Train: 54 [ 46/47 (100%)] Loss: 1.002209 (1.0041) Acc@1: 97.6562 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.204s, 628.96/s (0.258s, 495.27/s) LR: 2.790e-04 Data: 0.000 (0.030) +2024-12-27 14:18:17,290 - train: [ INFO] - Eval : 54 Time: 2.373 (2.373) Loss: 0.1901 (0.1901) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:18:20,091 - train: [ INFO] - Eval : 54 Time: 0.075 (0.246) Loss: 0.2107 (0.1896) Acc@1: 96.6667 (97.2137)Acc@5: 100.0000 (100.0000) +2024-12-27 14:18:20,418 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-54.pth.tar', 97.21374057449458) + +2024-12-27 14:18:22,075 - train: [ INFO] - Train: 55 [ 0/47 ( 0%)] Loss: 1.020632 (1.0206) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.623s, 78.88/s (1.623s, 78.88/s) LR: 2.694e-04 Data: 1.283 (1.283) +2024-12-27 14:18:32,512 - train: [ INFO] - Train: 55 [ 46/47 (100%)] Loss: 1.048660 (1.0346) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.212s, 605.12/s (0.256s, 500.21/s) LR: 2.694e-04 Data: 0.000 (0.029) +2024-12-27 14:18:34,180 - train: [ INFO] - Eval : 55 Time: 1.523 (1.523) Loss: 0.1970 (0.1970) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:18:36,989 - train: [ INFO] - Eval : 55 Time: 0.059 (0.206) Loss: 0.1787 (0.2004) Acc@1: 98.3333 (97.1374)Acc@5: 100.0000 (100.0000) +2024-12-27 14:18:38,876 - train: [ INFO] - Train: 56 [ 0/47 ( 0%)] Loss: 1.015556 (1.0156) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.558s, 82.15/s (1.558s, 82.15/s) LR: 2.599e-04 Data: 1.224 (1.224) +2024-12-27 14:18:49,157 - train: [ INFO] - Train: 56 [ 46/47 (100%)] Loss: 1.086759 (1.0512) Acc@1: 95.3125 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.209s, 613.01/s (0.251s, 509.38/s) LR: 2.599e-04 Data: 0.000 (0.027) +2024-12-27 14:18:50,586 - train: [ INFO] - Eval : 56 Time: 1.277 (1.277) Loss: 0.2391 (0.2391) Acc@1: 93.7500 (93.7500)Acc@5: 100.0000 (100.0000) +2024-12-27 14:18:53,201 - train: [ INFO] - Eval : 56 Time: 0.091 (0.185) Loss: 0.1662 (0.2007) Acc@1: 98.3333 (96.7176)Acc@5: 100.0000 (100.0000) +2024-12-27 14:18:55,200 - train: [ INFO] - Train: 57 [ 0/47 ( 0%)] Loss: 0.976863 (0.9769) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.663s, 76.97/s (1.663s, 76.97/s) LR: 2.504e-04 Data: 1.330 (1.330) +2024-12-27 14:19:05,548 - train: [ INFO] - Train: 57 [ 46/47 (100%)] Loss: 1.064072 (1.0205) Acc@1: 96.0938 (97.6562) Acc@5: 100.0000 (100.0000) Time: 0.224s, 571.97/s (0.253s, 505.07/s) LR: 2.504e-04 Data: 0.000 (0.029) +2024-12-27 14:19:07,335 - train: [ INFO] - Eval : 57 Time: 1.642 (1.642) Loss: 0.1941 (0.1941) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:19:10,733 - train: [ INFO] - Eval : 57 Time: 0.054 (0.240) Loss: 0.1400 (0.1947) Acc@1: 98.3333 (97.1756)Acc@5: 100.0000 (100.0000) +2024-12-27 14:19:13,435 - train: [ INFO] - Train: 58 [ 0/47 ( 0%)] Loss: 1.005891 (1.0059) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.666s, 76.83/s (1.666s, 76.83/s) LR: 2.410e-04 Data: 1.360 (1.360) +2024-12-27 14:19:23,832 - train: [ INFO] - Train: 58 [ 46/47 (100%)] Loss: 1.041697 (1.0238) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.210s, 608.87/s (0.256s, 500.63/s) LR: 2.410e-04 Data: 0.000 (0.030) +2024-12-27 14:19:26,497 - train: [ INFO] - Eval : 58 Time: 2.481 (2.481) Loss: 0.1586 (0.1586) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2024-12-27 14:19:30,891 - train: [ INFO] - Eval : 58 Time: 0.083 (0.327) Loss: 0.1822 (0.1916) Acc@1: 98.3333 (97.4046)Acc@5: 100.0000 (100.0000) +2024-12-27 14:19:31,168 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-58.pth.tar', 97.4045802109114) + +2024-12-27 14:19:32,820 - train: [ INFO] - Train: 59 [ 0/47 ( 0%)] Loss: 1.084448 (1.0844) Acc@1: 95.3125 (95.3125) Acc@5: 100.0000 (100.0000) Time: 1.615s, 79.27/s (1.615s, 79.27/s) LR: 2.317e-04 Data: 1.306 (1.306) +2024-12-27 14:19:43,001 - train: [ INFO] - Train: 59 [ 46/47 (100%)] Loss: 0.985687 (1.0351) Acc@1: 99.2188 (97.2656) Acc@5: 100.0000 (100.0000) Time: 0.203s, 629.28/s (0.250s, 511.80/s) LR: 2.317e-04 Data: 0.000 (0.029) +2024-12-27 14:19:44,802 - train: [ INFO] - Eval : 59 Time: 1.644 (1.644) Loss: 0.2044 (0.2044) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:19:47,714 - train: [ INFO] - Eval : 59 Time: 0.059 (0.217) Loss: 0.2086 (0.1959) Acc@1: 96.6667 (97.0229)Acc@5: 100.0000 (100.0000) +2024-12-27 14:19:49,570 - train: [ INFO] - Train: 60 [ 0/47 ( 0%)] Loss: 0.963788 (0.9638) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.519s, 84.25/s (1.519s, 84.25/s) LR: 2.225e-04 Data: 1.234 (1.234) +2024-12-27 14:19:59,627 - train: [ INFO] - Train: 60 [ 46/47 (100%)] Loss: 1.113693 (1.0387) Acc@1: 97.6562 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.216s, 591.85/s (0.245s, 521.75/s) LR: 2.225e-04 Data: 0.000 (0.027) +2024-12-27 14:20:01,033 - train: [ INFO] - Eval : 60 Time: 1.191 (1.191) Loss: 0.2239 (0.2239) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:20:03,894 - train: [ INFO] - Eval : 60 Time: 0.078 (0.193) Loss: 0.1499 (0.1921) Acc@1: 98.3333 (97.2901)Acc@5: 100.0000 (100.0000) +2024-12-27 14:20:05,840 - train: [ INFO] - Train: 61 [ 0/47 ( 0%)] Loss: 1.042336 (1.0423) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.625s, 78.76/s (1.625s, 78.76/s) LR: 2.133e-04 Data: 1.319 (1.319) +2024-12-27 14:20:16,036 - train: [ INFO] - Train: 61 [ 46/47 (100%)] Loss: 1.079455 (1.0609) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.210s, 609.47/s (0.251s, 510.50/s) LR: 2.133e-04 Data: 0.000 (0.029) +2024-12-27 14:20:17,813 - train: [ INFO] - Eval : 61 Time: 1.639 (1.639) Loss: 0.2300 (0.2300) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:20:20,665 - train: [ INFO] - Eval : 61 Time: 0.079 (0.214) Loss: 0.1730 (0.2195) Acc@1: 98.3333 (96.6412)Acc@5: 100.0000 (100.0000) +2024-12-27 14:20:23,474 - train: [ INFO] - Train: 62 [ 0/47 ( 0%)] Loss: 1.132550 (1.1326) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.476s, 51.70/s (2.476s, 51.70/s) LR: 2.043e-04 Data: 2.161 (2.161) +2024-12-27 14:20:33,620 - train: [ INFO] - Train: 62 [ 46/47 (100%)] Loss: 1.058313 (1.0954) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.214s, 598.81/s (0.267s, 478.67/s) LR: 2.043e-04 Data: 0.000 (0.047) +2024-12-27 14:20:35,635 - train: [ INFO] - Eval : 62 Time: 1.845 (1.845) Loss: 0.2321 (0.2321) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:20:39,097 - train: [ INFO] - Eval : 62 Time: 0.055 (0.253) Loss: 0.2801 (0.1960) Acc@1: 93.3333 (97.2137)Acc@5: 100.0000 (100.0000) +2024-12-27 14:20:41,938 - train: [ INFO] - Train: 63 [ 0/47 ( 0%)] Loss: 1.038963 (1.0390) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.503s, 51.14/s (2.503s, 51.14/s) LR: 1.954e-04 Data: 2.193 (2.193) +2024-12-27 14:20:52,148 - train: [ INFO] - Train: 63 [ 46/47 (100%)] Loss: 1.038324 (1.0386) Acc@1: 98.4375 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.212s, 604.82/s (0.270s, 474.95/s) LR: 1.954e-04 Data: 0.000 (0.047) +2024-12-27 14:20:54,358 - train: [ INFO] - Eval : 63 Time: 2.046 (2.046) Loss: 0.1778 (0.1778) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:20:58,110 - train: [ INFO] - Eval : 63 Time: 0.061 (0.276) Loss: 0.1589 (0.1910) Acc@1: 98.3333 (97.2519)Acc@5: 100.0000 (100.0000) +2024-12-27 14:20:59,956 - train: [ INFO] - Train: 64 [ 0/47 ( 0%)] Loss: 1.014035 (1.0140) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.471s, 87.04/s (1.471s, 87.04/s) LR: 1.866e-04 Data: 1.189 (1.189) +2024-12-27 14:21:09,978 - train: [ INFO] - Train: 64 [ 46/47 (100%)] Loss: 1.093605 (1.0538) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.204s, 628.69/s (0.244s, 524.74/s) LR: 1.866e-04 Data: 0.000 (0.026) +2024-12-27 14:21:11,725 - train: [ INFO] - Eval : 64 Time: 1.587 (1.587) Loss: 0.2336 (0.2336) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:21:14,539 - train: [ INFO] - Eval : 64 Time: 0.061 (0.210) Loss: 0.2086 (0.1861) Acc@1: 98.3333 (97.5573)Acc@5: 100.0000 (99.9618) +2024-12-27 14:21:14,861 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-64.pth.tar', 97.5572519666366) + +2024-12-27 14:21:16,369 - train: [ INFO] - Train: 65 [ 0/47 ( 0%)] Loss: 0.983837 (0.9838) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.489s, 85.95/s (1.489s, 85.95/s) LR: 1.779e-04 Data: 1.251 (1.251) +2024-12-27 14:21:26,660 - train: [ INFO] - Train: 65 [ 46/47 (100%)] Loss: 0.989136 (0.9865) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.215s, 595.40/s (0.249s, 513.48/s) LR: 1.779e-04 Data: 0.000 (0.027) +2024-12-27 14:21:28,248 - train: [ INFO] - Eval : 65 Time: 1.426 (1.426) Loss: 0.1800 (0.1800) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2024-12-27 14:21:31,200 - train: [ INFO] - Eval : 65 Time: 0.052 (0.208) Loss: 0.2104 (0.1923) Acc@1: 98.3333 (97.2519)Acc@5: 100.0000 (100.0000) +2024-12-27 14:21:33,340 - train: [ INFO] - Train: 66 [ 0/47 ( 0%)] Loss: 1.006676 (1.0067) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.792s, 71.41/s (1.792s, 71.41/s) LR: 1.694e-04 Data: 1.498 (1.498) +2024-12-27 14:21:44,169 - train: [ INFO] - Train: 66 [ 46/47 (100%)] Loss: 0.994006 (1.0003) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.242s, 529.45/s (0.267s, 478.89/s) LR: 1.694e-04 Data: 0.000 (0.037) +2024-12-27 14:21:45,945 - train: [ INFO] - Eval : 66 Time: 1.624 (1.624) Loss: 0.1931 (0.1931) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:21:49,305 - train: [ INFO] - Eval : 66 Time: 0.075 (0.237) Loss: 0.2037 (0.1950) Acc@1: 95.0000 (97.1374)Acc@5: 100.0000 (100.0000) +2024-12-27 14:21:52,528 - train: [ INFO] - Train: 67 [ 0/47 ( 0%)] Loss: 1.072217 (1.0722) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.998s, 64.06/s (1.998s, 64.06/s) LR: 1.610e-04 Data: 1.699 (1.699) +2024-12-27 14:22:02,860 - train: [ INFO] - Train: 67 [ 46/47 (100%)] Loss: 1.051677 (1.0619) Acc@1: 98.4375 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.206s, 619.97/s (0.262s, 489.10/s) LR: 1.610e-04 Data: 0.000 (0.037) +2024-12-27 14:22:05,190 - train: [ INFO] - Eval : 67 Time: 2.172 (2.172) Loss: 0.2305 (0.2305) Acc@1: 95.3125 (95.3125)Acc@5: 100.0000 (100.0000) +2024-12-27 14:22:09,307 - train: [ INFO] - Eval : 67 Time: 0.096 (0.300) Loss: 0.1864 (0.1920) Acc@1: 95.0000 (97.4046)Acc@5: 100.0000 (100.0000) +2024-12-27 14:22:11,189 - train: [ INFO] - Train: 68 [ 0/47 ( 0%)] Loss: 0.995364 (0.9954) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.602s, 79.92/s (1.602s, 79.92/s) LR: 1.527e-04 Data: 1.288 (1.288) +2024-12-27 14:22:21,523 - train: [ INFO] - Train: 68 [ 46/47 (100%)] Loss: 0.989540 (0.9925) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.205s, 624.09/s (0.253s, 506.12/s) LR: 1.527e-04 Data: 0.000 (0.029) +2024-12-27 14:22:23,158 - train: [ INFO] - Eval : 68 Time: 1.414 (1.414) Loss: 0.2051 (0.2051) Acc@1: 95.3125 (95.3125)Acc@5: 100.0000 (100.0000) +2024-12-27 14:22:25,943 - train: [ INFO] - Eval : 68 Time: 0.087 (0.200) Loss: 0.2148 (0.1905) Acc@1: 95.0000 (97.0992)Acc@5: 100.0000 (100.0000) +2024-12-27 14:22:28,165 - train: [ INFO] - Train: 69 [ 0/47 ( 0%)] Loss: 1.076451 (1.0765) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.907s, 67.11/s (1.907s, 67.11/s) LR: 1.447e-04 Data: 1.625 (1.625) +2024-12-27 14:22:38,313 - train: [ INFO] - Train: 69 [ 46/47 (100%)] Loss: 0.970734 (1.0236) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.228s, 560.92/s (0.256s, 500.23/s) LR: 1.447e-04 Data: 0.001 (0.035) +2024-12-27 14:22:39,858 - train: [ INFO] - Eval : 69 Time: 1.397 (1.397) Loss: 0.1714 (0.1714) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:22:42,584 - train: [ INFO] - Eval : 69 Time: 0.071 (0.196) Loss: 0.2345 (0.1839) Acc@1: 95.0000 (97.7481)Acc@5: 100.0000 (100.0000) +2024-12-27 14:22:42,882 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-69.pth.tar', 97.74809177777239) + +2024-12-27 14:22:44,661 - train: [ INFO] - Train: 70 [ 0/47 ( 0%)] Loss: 1.053002 (1.0530) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.769s, 72.36/s (1.769s, 72.36/s) LR: 1.368e-04 Data: 1.502 (1.502) +2024-12-27 14:22:54,722 - train: [ INFO] - Train: 70 [ 46/47 (100%)] Loss: 1.103047 (1.0780) Acc@1: 98.4375 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.203s, 629.06/s (0.251s, 510.37/s) LR: 1.368e-04 Data: 0.000 (0.033) +2024-12-27 14:22:56,364 - train: [ INFO] - Eval : 70 Time: 1.497 (1.497) Loss: 0.1577 (0.1577) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2024-12-27 14:22:59,941 - train: [ INFO] - Eval : 70 Time: 0.055 (0.242) Loss: 0.1859 (0.1811) Acc@1: 98.3333 (97.7099)Acc@5: 100.0000 (100.0000) +2024-12-27 14:23:02,744 - train: [ INFO] - Train: 71 [ 0/47 ( 0%)] Loss: 1.015236 (1.0152) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.764s, 72.56/s (1.764s, 72.56/s) LR: 1.290e-04 Data: 1.489 (1.489) +2024-12-27 14:23:13,144 - train: [ INFO] - Train: 71 [ 46/47 (100%)] Loss: 1.037865 (1.0266) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.248s, 516.73/s (0.258s, 496.01/s) LR: 1.290e-04 Data: 0.000 (0.032) +2024-12-27 14:23:14,759 - train: [ INFO] - Eval : 71 Time: 1.451 (1.451) Loss: 0.1498 (0.1498) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2024-12-27 14:23:18,537 - train: [ INFO] - Eval : 71 Time: 0.055 (0.249) Loss: 0.1874 (0.1814) Acc@1: 96.6667 (97.5954)Acc@5: 100.0000 (100.0000) +2024-12-27 14:23:20,447 - train: [ INFO] - Train: 72 [ 0/47 ( 0%)] Loss: 1.019656 (1.0197) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.664s, 76.91/s (1.664s, 76.91/s) LR: 1.215e-04 Data: 1.373 (1.373) +2024-12-27 14:23:30,677 - train: [ INFO] - Train: 72 [ 46/47 (100%)] Loss: 1.044506 (1.0321) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.214s, 598.70/s (0.252s, 507.84/s) LR: 1.215e-04 Data: 0.000 (0.030) +2024-12-27 14:23:32,684 - train: [ INFO] - Eval : 72 Time: 1.867 (1.867) Loss: 0.2246 (0.2246) Acc@1: 94.5312 (94.5312)Acc@5: 100.0000 (100.0000) +2024-12-27 14:23:36,206 - train: [ INFO] - Eval : 72 Time: 0.061 (0.257) Loss: 0.2538 (0.1874) Acc@1: 95.0000 (97.3664)Acc@5: 100.0000 (100.0000) +2024-12-27 14:23:38,184 - train: [ INFO] - Train: 73 [ 0/47 ( 0%)] Loss: 1.033296 (1.0333) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.627s, 78.69/s (1.627s, 78.69/s) LR: 1.141e-04 Data: 1.308 (1.308) +2024-12-27 14:23:48,312 - train: [ INFO] - Train: 73 [ 46/47 (100%)] Loss: 1.007073 (1.0202) Acc@1: 100.0000 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.227s, 564.79/s (0.249s, 514.37/s) LR: 1.141e-04 Data: 0.000 (0.029) +2024-12-27 14:23:50,007 - train: [ INFO] - Eval : 73 Time: 1.556 (1.556) Loss: 0.1871 (0.1871) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2024-12-27 14:23:52,869 - train: [ INFO] - Eval : 73 Time: 0.053 (0.210) Loss: 0.1635 (0.1837) Acc@1: 96.6667 (97.6336)Acc@5: 100.0000 (100.0000) +2024-12-27 14:23:54,634 - train: [ INFO] - Train: 74 [ 0/47 ( 0%)] Loss: 0.988714 (0.9887) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.523s, 84.03/s (1.523s, 84.03/s) LR: 1.070e-04 Data: 1.258 (1.258) +2024-12-27 14:24:05,127 - train: [ INFO] - Train: 74 [ 46/47 (100%)] Loss: 0.968301 (0.9785) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.206s, 620.23/s (0.255s, 501.90/s) LR: 1.070e-04 Data: 0.000 (0.028) +2024-12-27 14:24:06,517 - train: [ INFO] - Eval : 74 Time: 1.243 (1.243) Loss: 0.1711 (0.1711) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:24:09,258 - train: [ INFO] - Eval : 74 Time: 0.060 (0.190) Loss: 0.1070 (0.1786) Acc@1: 100.0000 (97.5191)Acc@5: 100.0000 (100.0000) +2024-12-27 14:24:11,188 - train: [ INFO] - Train: 75 [ 0/47 ( 0%)] Loss: 1.048209 (1.0482) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.582s, 80.92/s (1.582s, 80.92/s) LR: 1.001e-04 Data: 1.274 (1.274) +2024-12-27 14:24:21,645 - train: [ INFO] - Train: 75 [ 46/47 (100%)] Loss: 1.048137 (1.0482) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.240s, 532.41/s (0.255s, 502.62/s) LR: 1.001e-04 Data: 0.000 (0.028) +2024-12-27 14:24:23,525 - train: [ INFO] - Eval : 75 Time: 1.681 (1.681) Loss: 0.1591 (0.1591) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:24:27,146 - train: [ INFO] - Eval : 75 Time: 0.058 (0.252) Loss: 0.1515 (0.1780) Acc@1: 100.0000 (97.7863)Acc@5: 100.0000 (100.0000) +2024-12-27 14:24:27,663 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-75.pth.tar', 97.7862597167037) + +2024-12-27 14:24:29,892 - train: [ INFO] - Train: 76 [ 0/47 ( 0%)] Loss: 1.030196 (1.0302) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.215s, 57.80/s (2.215s, 57.80/s) LR: 9.334e-05 Data: 1.914 (1.914) +2024-12-27 14:24:40,321 - train: [ INFO] - Train: 76 [ 46/47 (100%)] Loss: 1.009188 (1.0197) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.207s, 618.42/s (0.268s, 477.12/s) LR: 9.334e-05 Data: 0.000 (0.042) +2024-12-27 14:24:42,202 - train: [ INFO] - Eval : 76 Time: 1.730 (1.730) Loss: 0.1896 (0.1896) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2024-12-27 14:24:46,063 - train: [ INFO] - Eval : 76 Time: 0.056 (0.266) Loss: 0.1347 (0.1777) Acc@1: 100.0000 (97.7863)Acc@5: 100.0000 (100.0000) +2024-12-27 14:24:48,265 - train: [ INFO] - Train: 77 [ 0/47 ( 0%)] Loss: 1.043801 (1.0438) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.964s, 65.19/s (1.964s, 65.19/s) LR: 8.684e-05 Data: 1.658 (1.658) +2024-12-27 14:24:58,787 - train: [ INFO] - Train: 77 [ 46/47 (100%)] Loss: 0.991505 (1.0177) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.224s, 571.06/s (0.265s, 483.22/s) LR: 8.684e-05 Data: 0.000 (0.036) +2024-12-27 14:25:00,648 - train: [ INFO] - Eval : 77 Time: 1.730 (1.730) Loss: 0.2285 (0.2285) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:25:04,141 - train: [ INFO] - Eval : 77 Time: 0.051 (0.249) Loss: 0.1816 (0.1784) Acc@1: 96.6667 (97.5954)Acc@5: 100.0000 (99.9618) +2024-12-27 14:25:05,768 - train: [ INFO] - Train: 78 [ 0/47 ( 0%)] Loss: 0.961279 (0.9613) Acc@1: 96.8750 (96.8750) Acc@5: 100.0000 (100.0000) Time: 1.285s, 99.64/s (1.285s, 99.64/s) LR: 8.057e-05 Data: 1.018 (1.018) +2024-12-27 14:25:15,876 - train: [ INFO] - Train: 78 [ 46/47 (100%)] Loss: 1.087948 (1.0246) Acc@1: 99.2188 (98.0469) Acc@5: 100.0000 (100.0000) Time: 0.220s, 582.17/s (0.241s, 530.22/s) LR: 8.057e-05 Data: 0.000 (0.023) +2024-12-27 14:25:17,422 - train: [ INFO] - Eval : 78 Time: 1.392 (1.392) Loss: 0.1720 (0.1720) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2024-12-27 14:25:20,152 - train: [ INFO] - Eval : 78 Time: 0.062 (0.196) Loss: 0.2692 (0.1801) Acc@1: 93.3333 (97.7863)Acc@5: 100.0000 (100.0000) +2024-12-27 14:25:22,446 - train: [ INFO] - Train: 79 [ 0/47 ( 0%)] Loss: 1.006730 (1.0067) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.892s, 67.65/s (1.892s, 67.65/s) LR: 7.453e-05 Data: 1.568 (1.568) +2024-12-27 14:25:32,629 - train: [ INFO] - Train: 79 [ 46/47 (100%)] Loss: 1.008178 (1.0075) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.216s, 591.86/s (0.256s, 500.68/s) LR: 7.453e-05 Data: 0.000 (0.034) +2024-12-27 14:25:34,143 - train: [ INFO] - Eval : 79 Time: 1.366 (1.366) Loss: 0.2012 (0.2012) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:25:36,803 - train: [ INFO] - Eval : 79 Time: 0.050 (0.192) Loss: 0.2175 (0.1828) Acc@1: 95.0000 (97.3664)Acc@5: 100.0000 (100.0000) +2024-12-27 14:25:38,571 - train: [ INFO] - Train: 80 [ 0/47 ( 0%)] Loss: 1.035299 (1.0353) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.487s, 86.05/s (1.487s, 86.05/s) LR: 6.873e-05 Data: 1.208 (1.208) +2024-12-27 14:25:48,783 - train: [ INFO] - Train: 80 [ 46/47 (100%)] Loss: 1.030775 (1.0330) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.214s, 597.53/s (0.248s, 516.24/s) LR: 6.873e-05 Data: 0.000 (0.027) +2024-12-27 14:25:50,830 - train: [ INFO] - Eval : 80 Time: 1.899 (1.899) Loss: 0.1260 (0.1260) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2024-12-27 14:25:54,732 - train: [ INFO] - Eval : 80 Time: 0.077 (0.276) Loss: 0.1098 (0.1741) Acc@1: 100.0000 (97.5573)Acc@5: 100.0000 (100.0000) +2024-12-27 14:25:57,610 - train: [ INFO] - Train: 81 [ 0/47 ( 0%)] Loss: 0.983661 (0.9837) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 2.510s, 51.01/s (2.510s, 51.01/s) LR: 6.317e-05 Data: 2.218 (2.218) +2024-12-27 14:26:07,865 - train: [ INFO] - Train: 81 [ 46/47 (100%)] Loss: 1.009394 (0.9965) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.229s, 558.52/s (0.271s, 473.12/s) LR: 6.317e-05 Data: 0.000 (0.049) +2024-12-27 14:26:09,855 - train: [ INFO] - Eval : 81 Time: 1.833 (1.833) Loss: 0.1881 (0.1881) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:26:13,656 - train: [ INFO] - Eval : 81 Time: 0.054 (0.268) Loss: 0.1001 (0.1744) Acc@1: 100.0000 (97.7099)Acc@5: 100.0000 (100.0000) +2024-12-27 14:26:15,487 - train: [ INFO] - Train: 82 [ 0/47 ( 0%)] Loss: 1.103495 (1.1035) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.496s, 85.57/s (1.496s, 85.57/s) LR: 5.787e-05 Data: 1.266 (1.266) +2024-12-27 14:26:25,822 - train: [ INFO] - Train: 82 [ 46/47 (100%)] Loss: 1.034833 (1.0692) Acc@1: 99.2188 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.228s, 560.92/s (0.251s, 510.37/s) LR: 5.787e-05 Data: 0.000 (0.028) +2024-12-27 14:26:27,365 - train: [ INFO] - Eval : 82 Time: 1.367 (1.367) Loss: 0.1837 (0.1837) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:26:30,928 - train: [ INFO] - Eval : 82 Time: 0.078 (0.235) Loss: 0.1660 (0.1781) Acc@1: 95.0000 (97.5954)Acc@5: 100.0000 (100.0000) +2024-12-27 14:26:32,712 - train: [ INFO] - Train: 83 [ 0/47 ( 0%)] Loss: 0.986385 (0.9864) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.449s, 88.33/s (1.449s, 88.33/s) LR: 5.282e-05 Data: 1.186 (1.186) +2024-12-27 14:26:43,214 - train: [ INFO] - Train: 83 [ 46/47 (100%)] Loss: 1.010542 (0.9985) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.213s, 602.12/s (0.253s, 505.58/s) LR: 5.282e-05 Data: 0.000 (0.026) +2024-12-27 14:26:44,959 - train: [ INFO] - Eval : 83 Time: 1.609 (1.609) Loss: 0.1937 (0.1937) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:26:47,689 - train: [ INFO] - Eval : 83 Time: 0.051 (0.207) Loss: 0.1215 (0.1777) Acc@1: 100.0000 (97.6718)Acc@5: 100.0000 (100.0000) +2024-12-27 14:26:49,900 - train: [ INFO] - Train: 84 [ 0/47 ( 0%)] Loss: 0.977419 (0.9774) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.868s, 68.54/s (1.868s, 68.54/s) LR: 4.804e-05 Data: 1.588 (1.588) +2024-12-27 14:27:00,741 - train: [ INFO] - Train: 84 [ 46/47 (100%)] Loss: 1.061096 (1.0193) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.213s, 600.68/s (0.267s, 479.28/s) LR: 4.804e-05 Data: 0.000 (0.040) +2024-12-27 14:27:02,325 - train: [ INFO] - Eval : 84 Time: 1.431 (1.431) Loss: 0.1845 (0.1845) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:27:05,023 - train: [ INFO] - Eval : 84 Time: 0.070 (0.197) Loss: 0.1283 (0.1731) Acc@1: 100.0000 (97.9389)Acc@5: 100.0000 (100.0000) +2024-12-27 14:27:05,388 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-84.pth.tar', 97.93893147242888) + +2024-12-27 14:27:07,329 - train: [ INFO] - Train: 85 [ 0/47 ( 0%)] Loss: 1.039318 (1.0393) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.931s, 66.30/s (1.931s, 66.30/s) LR: 4.352e-05 Data: 1.611 (1.611) +2024-12-27 14:27:17,464 - train: [ INFO] - Train: 85 [ 46/47 (100%)] Loss: 0.989551 (1.0144) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.211s, 608.03/s (0.254s, 503.10/s) LR: 4.352e-05 Data: 0.000 (0.035) +2024-12-27 14:27:19,401 - train: [ INFO] - Eval : 85 Time: 1.781 (1.781) Loss: 0.1511 (0.1511) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2024-12-27 14:27:24,018 - train: [ INFO] - Eval : 85 Time: 0.069 (0.305) Loss: 0.1429 (0.1749) Acc@1: 98.3333 (98.1298)Acc@5: 100.0000 (100.0000) +2024-12-27 14:27:24,376 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('./exp_results/AVspikformer-UrbanSound8K-audio-visual-interaction-Add-attn-method_SpatialTemporal-cross-attn_True-alpha_1.5-contrastive-True-temperature_0.08-snr_-100-embed_dims_64-LIFNode-4/checkpoint-85.pth.tar', 98.12977105060607) + +2024-12-27 14:27:26,178 - train: [ INFO] - Train: 86 [ 0/47 ( 0%)] Loss: 0.983331 (0.9833) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.793s, 71.37/s (1.793s, 71.37/s) LR: 3.927e-05 Data: 1.522 (1.522) +2024-12-27 14:27:36,410 - train: [ INFO] - Train: 86 [ 46/47 (100%)] Loss: 1.017669 (1.0005) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.216s, 591.86/s (0.255s, 502.16/s) LR: 3.927e-05 Data: 0.000 (0.033) +2024-12-27 14:27:38,365 - train: [ INFO] - Eval : 86 Time: 1.723 (1.723) Loss: 0.1582 (0.1582) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:27:41,819 - train: [ INFO] - Eval : 86 Time: 0.081 (0.247) Loss: 0.1265 (0.1755) Acc@1: 100.0000 (97.9771)Acc@5: 100.0000 (100.0000) +2024-12-27 14:27:43,476 - train: [ INFO] - Train: 87 [ 0/47 ( 0%)] Loss: 1.077816 (1.0778) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.380s, 92.77/s (1.380s, 92.77/s) LR: 3.529e-05 Data: 1.128 (1.128) +2024-12-27 14:27:53,698 - train: [ INFO] - Train: 87 [ 46/47 (100%)] Loss: 1.000992 (1.0394) Acc@1: 100.0000 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.207s, 618.83/s (0.246s, 519.86/s) LR: 3.529e-05 Data: 0.000 (0.025) +2024-12-27 14:27:55,277 - train: [ INFO] - Eval : 87 Time: 1.450 (1.450) Loss: 0.1727 (0.1727) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:27:58,218 - train: [ INFO] - Eval : 87 Time: 0.051 (0.209) Loss: 0.1818 (0.1734) Acc@1: 96.6667 (97.9389)Acc@5: 100.0000 (100.0000) +2024-12-27 14:28:00,110 - train: [ INFO] - Train: 88 [ 0/47 ( 0%)] Loss: 0.995558 (0.9956) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.470s, 87.08/s (1.470s, 87.08/s) LR: 3.159e-05 Data: 1.184 (1.184) +2024-12-27 14:28:10,231 - train: [ INFO] - Train: 88 [ 46/47 (100%)] Loss: 1.008242 (1.0019) Acc@1: 99.2188 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.220s, 582.18/s (0.246s, 521.11/s) LR: 3.159e-05 Data: 0.000 (0.026) +2024-12-27 14:28:11,884 - train: [ INFO] - Eval : 88 Time: 1.506 (1.506) Loss: 0.1361 (0.1361) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2024-12-27 14:28:14,698 - train: [ INFO] - Eval : 88 Time: 0.057 (0.206) Loss: 0.1550 (0.1786) Acc@1: 96.6667 (97.7481)Acc@5: 100.0000 (100.0000) +2024-12-27 14:28:16,806 - train: [ INFO] - Train: 89 [ 0/47 ( 0%)] Loss: 0.982509 (0.9825) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.764s, 72.54/s (1.764s, 72.54/s) LR: 2.818e-05 Data: 1.471 (1.471) +2024-12-27 14:28:27,094 - train: [ INFO] - Train: 89 [ 46/47 (100%)] Loss: 1.014035 (0.9983) Acc@1: 100.0000 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.211s, 607.93/s (0.255s, 502.81/s) LR: 2.818e-05 Data: 0.000 (0.032) +2024-12-27 14:28:28,829 - train: [ INFO] - Eval : 89 Time: 1.555 (1.555) Loss: 0.1620 (0.1620) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:28:31,635 - train: [ INFO] - Eval : 89 Time: 0.082 (0.208) Loss: 0.2308 (0.1778) Acc@1: 96.6667 (97.7099)Acc@5: 100.0000 (100.0000) +2024-12-27 14:28:34,198 - train: [ INFO] - Train: 90 [ 0/47 ( 0%)] Loss: 0.966881 (0.9669) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.238s, 57.20/s (2.238s, 57.20/s) LR: 2.505e-05 Data: 1.953 (1.953) +2024-12-27 14:28:44,272 - train: [ INFO] - Train: 90 [ 46/47 (100%)] Loss: 1.017854 (0.9924) Acc@1: 97.6562 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.206s, 621.52/s (0.261s, 489.94/s) LR: 2.505e-05 Data: 0.000 (0.042) +2024-12-27 14:28:46,522 - train: [ INFO] - Eval : 90 Time: 2.008 (2.008) Loss: 0.1558 (0.1558) Acc@1: 99.2188 (99.2188)Acc@5: 100.0000 (100.0000) +2024-12-27 14:28:50,638 - train: [ INFO] - Eval : 90 Time: 0.051 (0.292) Loss: 0.1638 (0.1727) Acc@1: 100.0000 (97.8626)Acc@5: 100.0000 (100.0000) +2024-12-27 14:28:52,597 - train: [ INFO] - Train: 91 [ 0/47 ( 0%)] Loss: 1.029272 (1.0293) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.625s, 78.75/s (1.625s, 78.75/s) LR: 2.221e-05 Data: 1.333 (1.333) +2024-12-27 14:29:02,856 - train: [ INFO] - Train: 91 [ 46/47 (100%)] Loss: 1.014226 (1.0217) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 0.207s, 618.13/s (0.252s, 508.64/s) LR: 2.221e-05 Data: 0.000 (0.030) +2024-12-27 14:29:05,174 - train: [ INFO] - Eval : 91 Time: 2.112 (2.112) Loss: 0.1908 (0.1908) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:29:08,537 - train: [ INFO] - Eval : 91 Time: 0.058 (0.261) Loss: 0.1137 (0.1756) Acc@1: 100.0000 (97.8626)Acc@5: 100.0000 (100.0000) +2024-12-27 14:29:10,369 - train: [ INFO] - Train: 92 [ 0/47 ( 0%)] Loss: 0.979708 (0.9797) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.537s, 83.30/s (1.537s, 83.30/s) LR: 1.966e-05 Data: 1.241 (1.241) +2024-12-27 14:29:20,873 - train: [ INFO] - Train: 92 [ 46/47 (100%)] Loss: 0.974132 (0.9769) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.215s, 594.39/s (0.254s, 502.96/s) LR: 1.966e-05 Data: 0.000 (0.027) +2024-12-27 14:29:22,605 - train: [ INFO] - Eval : 92 Time: 1.575 (1.575) Loss: 0.1460 (0.1460) Acc@1: 98.4375 (98.4375)Acc@5: 100.0000 (100.0000) +2024-12-27 14:29:25,520 - train: [ INFO] - Eval : 92 Time: 0.076 (0.214) Loss: 0.1841 (0.1784) Acc@1: 98.3333 (97.9389)Acc@5: 100.0000 (100.0000) +2024-12-27 14:29:27,549 - train: [ INFO] - Train: 93 [ 0/47 ( 0%)] Loss: 0.966287 (0.9663) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.668s, 76.73/s (1.668s, 76.73/s) LR: 1.741e-05 Data: 1.351 (1.351) +2024-12-27 14:29:37,908 - train: [ INFO] - Train: 93 [ 46/47 (100%)] Loss: 0.988783 (0.9775) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.224s, 570.33/s (0.255s, 502.24/s) LR: 1.741e-05 Data: 0.000 (0.030) +2024-12-27 14:29:39,371 - train: [ INFO] - Eval : 93 Time: 1.318 (1.318) Loss: 0.2098 (0.2098) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:29:42,478 - train: [ INFO] - Eval : 93 Time: 0.078 (0.210) Loss: 0.1405 (0.1758) Acc@1: 98.3333 (97.7099)Acc@5: 100.0000 (100.0000) +2024-12-27 14:29:44,625 - train: [ INFO] - Train: 94 [ 0/47 ( 0%)] Loss: 1.010254 (1.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.885s, 67.89/s (1.885s, 67.89/s) LR: 1.545e-05 Data: 1.576 (1.576) +2024-12-27 14:29:55,066 - train: [ INFO] - Train: 94 [ 46/47 (100%)] Loss: 1.010960 (1.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.205s, 625.17/s (0.261s, 490.15/s) LR: 1.545e-05 Data: 0.000 (0.035) +2024-12-27 14:29:56,741 - train: [ INFO] - Eval : 94 Time: 1.491 (1.491) Loss: 0.1573 (0.1573) Acc@1: 100.0000 (100.0000)Acc@5: 100.0000 (100.0000) +2024-12-27 14:30:00,131 - train: [ INFO] - Eval : 94 Time: 0.084 (0.232) Loss: 0.1608 (0.1743) Acc@1: 98.3333 (97.6718)Acc@5: 100.0000 (100.0000) +2024-12-27 14:30:03,031 - train: [ INFO] - Train: 95 [ 0/47 ( 0%)] Loss: 0.966298 (0.9663) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.786s, 71.66/s (1.786s, 71.66/s) LR: 1.379e-05 Data: 1.480 (1.480) +2024-12-27 14:30:13,206 - train: [ INFO] - Train: 95 [ 46/47 (100%)] Loss: 1.004193 (0.9852) Acc@1: 98.4375 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.212s, 604.78/s (0.254s, 504.20/s) LR: 1.379e-05 Data: 0.000 (0.032) +2024-12-27 14:30:14,833 - train: [ INFO] - Eval : 95 Time: 1.417 (1.417) Loss: 0.2124 (0.2124) Acc@1: 96.0938 (96.0938)Acc@5: 100.0000 (100.0000) +2024-12-27 14:30:18,418 - train: [ INFO] - Eval : 95 Time: 0.056 (0.238) Loss: 0.1334 (0.1741) Acc@1: 100.0000 (97.9771)Acc@5: 100.0000 (100.0000) +2024-12-27 14:30:20,427 - train: [ INFO] - Train: 96 [ 0/47 ( 0%)] Loss: 1.053203 (1.0532) Acc@1: 97.6562 (97.6562) Acc@5: 100.0000 (100.0000) Time: 1.657s, 77.24/s (1.657s, 77.24/s) LR: 1.242e-05 Data: 1.366 (1.366) +2024-12-27 14:30:30,796 - train: [ INFO] - Train: 96 [ 46/47 (100%)] Loss: 1.004414 (1.0288) Acc@1: 100.0000 (98.8281) Acc@5: 100.0000 (100.0000) Time: 0.238s, 537.06/s (0.254s, 502.98/s) LR: 1.242e-05 Data: 0.000 (0.030) +2024-12-27 14:30:33,076 - train: [ INFO] - Eval : 96 Time: 2.119 (2.119) Loss: 0.1698 (0.1698) Acc@1: 96.8750 (96.8750)Acc@5: 100.0000 (100.0000) +2024-12-27 14:30:35,668 - train: [ INFO] - Eval : 96 Time: 0.070 (0.224) Loss: 0.1280 (0.1727) Acc@1: 100.0000 (97.7863)Acc@5: 100.0000 (100.0000) +2024-12-27 14:30:37,430 - train: [ INFO] - Train: 97 [ 0/47 ( 0%)] Loss: 0.960812 (0.9608) Acc@1: 98.4375 (98.4375) Acc@5: 100.0000 (100.0000) Time: 1.489s, 85.94/s (1.489s, 85.94/s) LR: 1.136e-05 Data: 1.259 (1.259) +2024-12-27 14:30:47,957 - train: [ INFO] - Train: 97 [ 46/47 (100%)] Loss: 1.044046 (1.0024) Acc@1: 100.0000 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.211s, 607.23/s (0.255s, 502.10/s) LR: 1.136e-05 Data: 0.000 (0.028) +2024-12-27 14:30:49,335 - train: [ INFO] - Eval : 97 Time: 1.242 (1.242) Loss: 0.1889 (0.1889) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2024-12-27 14:30:51,892 - train: [ INFO] - Eval : 97 Time: 0.057 (0.181) Loss: 0.2049 (0.1757) Acc@1: 95.0000 (97.6718)Acc@5: 100.0000 (100.0000) +2024-12-27 14:30:53,679 - train: [ INFO] - Train: 98 [ 0/47 ( 0%)] Loss: 0.999504 (0.9995) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.438s, 89.04/s (1.438s, 89.04/s) LR: 1.061e-05 Data: 1.175 (1.175) +2024-12-27 14:31:03,714 - train: [ INFO] - Train: 98 [ 46/47 (100%)] Loss: 1.028327 (1.0139) Acc@1: 99.2188 (99.6094) Acc@5: 100.0000 (100.0000) Time: 0.213s, 601.84/s (0.243s, 526.20/s) LR: 1.061e-05 Data: 0.000 (0.026) +2024-12-27 14:31:05,291 - train: [ INFO] - Eval : 98 Time: 1.423 (1.423) Loss: 0.1987 (0.1987) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2024-12-27 14:31:08,354 - train: [ INFO] - Eval : 98 Time: 0.049 (0.214) Loss: 0.1812 (0.1732) Acc@1: 96.6667 (97.9771)Acc@5: 100.0000 (100.0000) +2024-12-27 14:31:10,556 - train: [ INFO] - Train: 99 [ 0/47 ( 0%)] Loss: 1.033547 (1.0335) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 1.909s, 67.06/s (1.909s, 67.06/s) LR: 1.015e-05 Data: 1.557 (1.557) +2024-12-27 14:31:20,770 - train: [ INFO] - Train: 99 [ 46/47 (100%)] Loss: 1.053525 (1.0435) Acc@1: 99.2188 (99.2188) Acc@5: 100.0000 (100.0000) Time: 0.211s, 607.75/s (0.257s, 497.31/s) LR: 1.015e-05 Data: 0.000 (0.034) +2024-12-27 14:31:22,398 - train: [ INFO] - Eval : 99 Time: 1.490 (1.490) Loss: 0.1796 (0.1796) Acc@1: 97.6562 (97.6562)Acc@5: 100.0000 (100.0000) +2024-12-27 14:31:25,671 - train: [ INFO] - Eval : 99 Time: 0.062 (0.227) Loss: 0.2615 (0.1790) Acc@1: 91.6667 (97.7481)Acc@5: 100.0000 (100.0000) +2024-12-27 14:31:25,972 - train: [ INFO] - *** Best metric: 98.12977105060607 (epoch 85) diff --git 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