diff --git a/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/args.yaml b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/args.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ff66759e69f7eb55fd117b71d6247aff807467b0 --- /dev/null +++ b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/args.yaml @@ -0,0 +1,150 @@ +DVS_DA: true +TET_loss_first: true +TET_loss_second: true +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptive_node: false +amp: false +apex_amp: false +aug_splits: 0 +batch_size: 120 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cut_mix: false +cutmix: 1.0 +cutmix_beta: 1.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +decay_epochs: 30 +decay_rate: 0.1 +device: 6 +dist_bn: '' +domain_loss: true +domain_loss_coefficient: 0.0 +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +encode: direct +epochs: 200 +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: '' +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: 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 +m: -1.0 +mean: null +min_lr: 1.0e-05 +mix_up: false +mixup: 0.8 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 1.0 +mixup_switch_prob: 0.5 +model: Transfer_ResNet18 +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_groups: 1 +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +no_sliding_training: false +no_use_hsv: false +node_resume: '' +node_trainable: false +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 20 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: /home/hexiang/DomainAdaptation_DVS/Results/ +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +regularization: false +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +rgbdata_ratio: 1.0 +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 90210 +sigmoid_thres: false +smoothing: 0.0 +snr: 0 +source_dataset: RGBCEPDVS +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 6 +suffix: '' +sync_bn: false +target_dataset: CEPDVS +tau: 2.0 +temporal_flatten: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.5 +traindata_ratio: 1.0 +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: 0.01 +workers: 8 diff --git a/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..230422050c214182e4366b23224ebbf29a385f72 --- /dev/null +++ b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt @@ -0,0 +1,1687 @@ +2023-08-05 10:49:20,858 - train: [ INFO] - Training with a single process on 1 GPUs. +2023-08-05 10:49:21,127 - train: [ INFO] - learning rate is 0.000586 +2023-08-05 10:49:21,127 - train: [ INFO] - Model Transfer_ResNet18 created, param count: 11187924 +2023-08-05 10:49:23,603 - train: [ INFO] - AMP not enabled. Training in float32. +2023-08-05 10:49:23,603 - train: [ INFO] - Scheduled epochs: 210 +2023-08-05 10:49:54,595 - train: [ INFO] - Train: 0 [ 0/41 ( 0%)] Loss: 5.991596 (5.9916) Acc@1: 7.5000 ( 7.5000) Acc@5: 21.6667 (21.6667) Time: 10.634s, 11.28/s (10.634s, 11.28/s) LR: 1.000e-06 P_Replacement: 0.0 + +2023-08-05 10:50:20,133 - train: [ INFO] - Train: 0 [ 40/41 (100%)] Loss: 5.996026 (5.9945) Acc@1: 4.1667 ( 4.7154) Acc@5: 25.0000 (26.0366) Time: 0.633s, 189.67/s (0.882s, 136.02/s) LR: 1.000e-06 P_Replacement: 1.1607492636496859e-07 + +2023-08-05 10:50:24,699 - train: [ INFO] - Test: [ 0/16] Time: 3.208 (3.208) Loss: 3.0035 (3.0035) cLoss: 0.0000 (0.0000) Acc@1: 4.1667 ( 4.1667)Acc@5: 26.6667 (26.6667) + +2023-08-05 10:50:27,923 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.378) Loss: 3.0020 (2.9989) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 4.1500)Acc@5: 22.5000 (24.9500) + +2023-08-05 10:50:29,358 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-0.pth.tar', 4.150000228881836) + +2023-08-05 10:50:35,766 - train: [ INFO] - Train: 1 [ 0/41 ( 0%)] Loss: 5.985887 (5.9859) Acc@1: 2.5000 ( 2.5000) Acc@5: 26.6667 (26.6667) Time: 6.406s, 18.73/s (6.406s, 18.73/s) LR: 1.180e-04 P_Replacement: 1.2500000000000002e-07 + +2023-08-05 10:51:01,359 - train: [ INFO] - Train: 1 [ 40/41 (100%)] Loss: 5.954250 (5.9436) Acc@1: 6.6667 ( 8.8821) Acc@5: 31.6667 (33.4756) Time: 0.653s, 183.90/s (0.780s, 153.76/s) LR: 1.180e-04 P_Replacement: 9.638589834738323e-07 + +2023-08-05 10:51:05,680 - train: [ INFO] - Test: [ 0/16] Time: 3.194 (3.194) Loss: 3.0764 (3.0764) cLoss: 0.0000 (0.0000) Acc@1: 4.1667 ( 4.1667)Acc@5: 28.3333 (28.3333) + +2023-08-05 10:51:08,918 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.378) Loss: 3.0356 (3.1207) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 4.4500)Acc@5: 35.0000 (24.9000) + +2023-08-05 10:51:10,350 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-1.pth.tar', 4.450000264644623) + +2023-08-05 10:51:16,708 - train: [ INFO] - Train: 2 [ 0/41 ( 0%)] Loss: 5.986125 (5.9861) Acc@1: 9.1667 ( 9.1667) Acc@5: 28.3333 (28.3333) Time: 6.340s, 18.93/s (6.340s, 18.93/s) LR: 2.350e-04 P_Replacement: 1.0000000000000002e-06 + +2023-08-05 10:51:42,297 - train: [ INFO] - Train: 2 [ 40/41 (100%)] Loss: 5.912693 (5.9208) Acc@1: 13.3333 ( 9.5732) Acc@5: 41.6667 (36.7683) Time: 0.642s, 186.88/s (0.779s, 154.11/s) LR: 2.350e-04 P_Replacement: 3.2933503576558664e-06 + +2023-08-05 10:51:46,752 - train: [ INFO] - Test: [ 0/16] Time: 3.150 (3.150) Loss: 2.9367 (2.9367) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 30.0000 (30.0000) + +2023-08-05 10:51:49,930 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.372) Loss: 2.9406 (2.9740) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 6.7000)Acc@5: 33.7500 (29.5000) + +2023-08-05 10:51:51,210 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-2.pth.tar', 6.700000324249268) + +2023-08-05 10:51:56,243 - train: [ INFO] - Train: 3 [ 0/41 ( 0%)] Loss: 5.872350 (5.8723) Acc@1: 12.5000 (12.5000) Acc@5: 45.0000 (45.0000) Time: 5.013s, 23.94/s (5.013s, 23.94/s) LR: 3.520e-04 P_Replacement: 3.3749999999999995e-06 + +2023-08-05 10:52:21,920 - train: [ INFO] - Train: 3 [ 40/41 (100%)] Loss: 5.918732 (5.9067) Acc@1: 13.3333 (10.7114) Acc@5: 41.6667 (39.9187) Time: 0.640s, 187.40/s (0.748s, 160.32/s) LR: 3.520e-04 P_Replacement: 7.854549048911072e-06 + +2023-08-05 10:52:26,141 - train: [ INFO] - Test: [ 0/16] Time: 3.101 (3.101) Loss: 3.0050 (3.0050) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 32.5000 (32.5000) + +2023-08-05 10:52:29,318 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.369) Loss: 3.0431 (2.9985) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 ( 6.5500)Acc@5: 28.7500 (29.4000) + +2023-08-05 10:52:37,163 - train: [ INFO] - Train: 4 [ 0/41 ( 0%)] Loss: 5.954833 (5.9548) Acc@1: 9.1667 ( 9.1667) Acc@5: 35.8333 (35.8333) Time: 6.369s, 18.84/s (6.369s, 18.84/s) LR: 4.689e-04 P_Replacement: 8.000000000000001e-06 + +2023-08-05 10:53:02,844 - train: [ INFO] - Train: 4 [ 40/41 (100%)] Loss: 5.811365 (5.8807) Acc@1: 10.8333 (12.3374) Acc@5: 56.6667 (42.4390) Time: 0.644s, 186.27/s (0.782s, 153.52/s) LR: 4.689e-04 P_Replacement: 1.539745505723945e-05 + +2023-08-05 10:53:07,503 - train: [ INFO] - Test: [ 0/16] Time: 3.202 (3.202) Loss: 3.0434 (3.0434) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 26.6667 (26.6667) + +2023-08-05 10:53:10,672 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.375) Loss: 3.0074 (2.9612) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 ( 8.9500)Acc@5: 33.7500 (35.0500) + +2023-08-05 10:53:11,870 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-4.pth.tar', 8.95000054359436) + +2023-08-05 10:53:18,144 - train: [ INFO] - Train: 5 [ 0/41 ( 0%)] Loss: 5.837342 (5.8373) Acc@1: 16.6667 (16.6667) Acc@5: 49.1667 (49.1667) Time: 6.253s, 19.19/s (6.253s, 19.19/s) LR: 5.850e-04 P_Replacement: 1.5625000000000004e-05 + +2023-08-05 10:53:43,831 - train: [ INFO] - Train: 5 [ 40/41 (100%)] Loss: 5.822299 (5.8285) Acc@1: 11.6667 (13.9431) Acc@5: 43.3333 (45.7317) Time: 0.638s, 187.98/s (0.779s, 154.05/s) LR: 5.850e-04 P_Replacement: 2.6672068382640992e-05 + +2023-08-05 10:53:47,775 - train: [ INFO] - Test: [ 0/16] Time: 2.685 (2.685) Loss: 2.8608 (2.8608) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 39.1667 (39.1667) + +2023-08-05 10:53:50,966 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.346) Loss: 2.9013 (2.8631) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 (12.5500)Acc@5: 45.0000 (41.0000) + +2023-08-05 10:53:52,460 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-5.pth.tar', 12.550000534057617) + +2023-08-05 10:53:57,652 - train: [ INFO] - Train: 6 [ 0/41 ( 0%)] Loss: 5.909893 (5.9099) Acc@1: 15.0000 (15.0000) Acc@5: 39.1667 (39.1667) Time: 5.174s, 23.19/s (5.174s, 23.19/s) LR: 5.847e-04 P_Replacement: 2.6999999999999996e-05 + +2023-08-05 10:54:23,356 - train: [ INFO] - Train: 6 [ 40/41 (100%)] Loss: 5.746447 (5.7567) Acc@1: 13.3333 (16.2195) Acc@5: 49.1667 (50.2236) Time: 0.634s, 189.23/s (0.753s, 159.35/s) LR: 5.847e-04 P_Replacement: 4.2428389025115725e-05 + +2023-08-05 10:54:27,431 - train: [ INFO] - Test: [ 0/16] Time: 2.626 (2.626) Loss: 2.9747 (2.9747) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 39.1667 (39.1667) + +2023-08-05 10:54:30,605 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.341) Loss: 2.8214 (2.9423) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 ( 9.4000)Acc@5: 45.0000 (37.8500) + +2023-08-05 10:54:37,727 - train: [ INFO] - Train: 7 [ 0/41 ( 0%)] Loss: 5.791840 (5.7918) Acc@1: 16.6667 (16.6667) Acc@5: 52.5000 (52.5000) Time: 5.909s, 20.31/s (5.909s, 20.31/s) LR: 5.842e-04 P_Replacement: 4.287500000000001e-05 + +2023-08-05 10:55:03,385 - train: [ INFO] - Train: 7 [ 40/41 (100%)] Loss: 5.736199 (5.7164) Acc@1: 11.6667 (17.7033) Acc@5: 49.1667 (52.1748) Time: 0.646s, 185.87/s (0.770s, 155.87/s) LR: 5.842e-04 P_Replacement: 6.34164169846636e-05 + +2023-08-05 10:55:07,314 - train: [ INFO] - Test: [ 0/16] Time: 2.643 (2.643) Loss: 2.9768 (2.9768) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 39.1667 (39.1667) + +2023-08-05 10:55:10,492 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.342) Loss: 2.9854 (3.0372) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.1500)Acc@5: 41.2500 (36.0500) + +2023-08-05 10:55:17,205 - train: [ INFO] - Train: 8 [ 0/41 ( 0%)] Loss: 5.578620 (5.5786) Acc@1: 22.5000 (22.5000) Acc@5: 59.1667 (59.1667) Time: 5.287s, 22.70/s (5.287s, 22.70/s) LR: 5.837e-04 P_Replacement: 6.400000000000001e-05 + +2023-08-05 10:55:42,960 - train: [ INFO] - Train: 8 [ 40/41 (100%)] Loss: 5.462385 (5.6528) Acc@1: 29.1667 (18.2520) Acc@5: 62.5000 (52.9675) Time: 0.641s, 187.27/s (0.757s, 158.50/s) LR: 5.837e-04 P_Replacement: 9.038615226128465e-05 + +2023-08-05 10:55:46,550 - train: [ INFO] - Test: [ 0/16] Time: 2.527 (2.527) Loss: 2.7594 (2.7594) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 52.5000 (52.5000) + +2023-08-05 10:55:49,755 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.337) Loss: 2.8121 (2.8557) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.3000)Acc@5: 45.0000 (45.5000) + +2023-08-05 10:55:50,894 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-8.pth.tar', 13.300000801086426) + +2023-08-05 10:55:55,811 - train: [ INFO] - Train: 9 [ 0/41 ( 0%)] Loss: 5.615215 (5.6152) Acc@1: 20.0000 (20.0000) Acc@5: 58.3333 (58.3333) Time: 4.896s, 24.51/s (4.896s, 24.51/s) LR: 5.831e-04 P_Replacement: 9.112499999999999e-05 + +2023-08-05 10:56:21,494 - train: [ INFO] - Train: 9 [ 40/41 (100%)] Loss: 5.545199 (5.6264) Acc@1: 24.1667 (20.2236) Acc@5: 60.8333 (55.8943) Time: 0.652s, 184.15/s (0.746s, 160.90/s) LR: 5.831e-04 P_Replacement: 0.0001240875948549789 + +2023-08-05 10:56:25,197 - train: [ INFO] - Test: [ 0/16] Time: 2.636 (2.636) Loss: 3.0546 (3.0546) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 41.6667 (41.6667) + +2023-08-05 10:56:28,382 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.342) Loss: 2.8906 (2.9540) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (11.3500)Acc@5: 42.5000 (41.4500) + +2023-08-05 10:56:35,699 - train: [ INFO] - Train: 10 [ 0/41 ( 0%)] Loss: 5.450607 (5.4506) Acc@1: 25.0000 (25.0000) Acc@5: 59.1667 (59.1667) Time: 6.097s, 19.68/s (6.097s, 19.68/s) LR: 5.824e-04 P_Replacement: 0.00012500000000000003 + +2023-08-05 10:57:01,376 - train: [ INFO] - Train: 10 [ 40/41 (100%)] Loss: 5.522143 (5.5746) Acc@1: 20.0000 (20.3455) Acc@5: 60.8333 (57.2358) Time: 0.640s, 187.52/s (0.775s, 154.85/s) LR: 5.824e-04 P_Replacement: 0.0001652707447657463 + +2023-08-05 10:57:04,855 - train: [ INFO] - Test: [ 0/16] Time: 2.544 (2.544) Loss: 2.8181 (2.8181) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 46.6667 (46.6667) + +2023-08-05 10:57:08,056 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.338) Loss: 2.9861 (2.9143) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (11.6500)Acc@5: 37.5000 (41.1000) + +2023-08-05 10:57:14,256 - train: [ INFO] - Train: 11 [ 0/41 ( 0%)] Loss: 5.407644 (5.4076) Acc@1: 24.1667 (24.1667) Acc@5: 69.1667 (69.1667) Time: 4.993s, 24.03/s (4.993s, 24.03/s) LR: 5.816e-04 P_Replacement: 0.000166375 + +2023-08-05 10:57:39,936 - train: [ INFO] - Train: 11 [ 40/41 (100%)] Loss: 5.462663 (5.5240) Acc@1: 18.3333 (20.4675) Acc@5: 65.0000 (59.4309) Time: 0.643s, 186.68/s (0.748s, 160.41/s) LR: 5.816e-04 P_Replacement: 0.00021468560199358684 + +2023-08-05 10:57:43,569 - train: [ INFO] - Test: [ 0/16] Time: 2.537 (2.537) Loss: 3.4734 (3.4734) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 35.8333 (35.8333) + +2023-08-05 10:57:46,785 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.338) Loss: 3.4630 (3.4524) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 8.2500)Acc@5: 32.5000 (32.5000) + +2023-08-05 10:57:53,137 - train: [ INFO] - Train: 12 [ 0/41 ( 0%)] Loss: 5.564796 (5.5648) Acc@1: 22.5000 (22.5000) Acc@5: 63.3333 (63.3333) Time: 5.024s, 23.89/s (5.024s, 23.89/s) LR: 5.808e-04 P_Replacement: 0.00021599999999999996 + +2023-08-05 10:58:18,700 - train: [ INFO] - Train: 12 [ 40/41 (100%)] Loss: 5.391470 (5.4783) Acc@1: 22.5000 (21.7886) Acc@5: 72.5000 (60.1220) Time: 0.653s, 183.65/s (0.746s, 160.86/s) LR: 5.808e-04 P_Replacement: 0.0002730821665385006 + +2023-08-05 10:58:22,100 - train: [ INFO] - Test: [ 0/16] Time: 2.554 (2.554) Loss: 2.9404 (2.9404) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 41.6667 (41.6667) + +2023-08-05 10:58:25,288 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.338) Loss: 2.8688 (2.8865) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (11.7500)Acc@5: 35.0000 (43.7000) + +2023-08-05 10:58:31,437 - train: [ INFO] - Train: 13 [ 0/41 ( 0%)] Loss: 5.596082 (5.5961) Acc@1: 16.6667 (16.6667) Acc@5: 60.0000 (60.0000) Time: 4.798s, 25.01/s (4.798s, 25.01/s) LR: 5.800e-04 P_Replacement: 0.000274625 + +2023-08-05 10:58:56,946 - train: [ INFO] - Train: 13 [ 40/41 (100%)] Loss: 5.530417 (5.4186) Acc@1: 20.8333 (22.8455) Acc@5: 52.5000 (59.7968) Time: 0.638s, 188.15/s (0.739s, 162.35/s) LR: 5.800e-04 P_Replacement: 0.0003412104384004876 + +2023-08-05 10:59:00,694 - train: [ INFO] - Test: [ 0/16] Time: 2.535 (2.535) Loss: 2.7452 (2.7452) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 53.3333 (53.3333) + +2023-08-05 10:59:03,886 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.337) Loss: 2.8047 (2.8562) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (12.2500)Acc@5: 47.5000 (45.9000) + +2023-08-05 10:59:10,137 - train: [ INFO] - Train: 14 [ 0/41 ( 0%)] Loss: 5.569252 (5.5693) Acc@1: 20.0000 (20.0000) Acc@5: 56.6667 (56.6667) Time: 4.922s, 24.38/s (4.922s, 24.38/s) LR: 5.790e-04 P_Replacement: 0.0003430000000000001 + +2023-08-05 10:59:35,672 - train: [ INFO] - Train: 14 [ 40/41 (100%)] Loss: 5.374435 (5.3157) Acc@1: 17.5000 (23.6179) Acc@5: 60.8333 (60.8943) Time: 0.639s, 187.87/s (0.743s, 161.55/s) LR: 5.790e-04 P_Replacement: 0.00041982041757954755 + +2023-08-05 10:59:39,431 - train: [ INFO] - Test: [ 0/16] Time: 2.579 (2.579) Loss: 2.9506 (2.9506) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 40.0000 (40.0000) + +2023-08-05 10:59:42,623 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.339) Loss: 3.0773 (2.9376) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (12.4500)Acc@5: 41.2500 (44.7500) + +2023-08-05 10:59:48,971 - train: [ INFO] - Train: 15 [ 0/41 ( 0%)] Loss: 5.137805 (5.1378) Acc@1: 29.1667 (29.1667) Acc@5: 68.3333 (68.3333) Time: 4.924s, 24.37/s (4.924s, 24.37/s) LR: 5.780e-04 P_Replacement: 0.00042187499999999994 + +2023-08-05 11:00:14,549 - train: [ INFO] - Train: 15 [ 40/41 (100%)] Loss: 5.118558 (5.2311) Acc@1: 27.5000 (23.8008) Acc@5: 65.0000 (61.5041) Time: 0.650s, 184.61/s (0.744s, 161.32/s) LR: 5.780e-04 P_Replacement: 0.0005096621040756809 + +2023-08-05 11:00:18,455 - train: [ INFO] - Test: [ 0/16] Time: 2.891 (2.891) Loss: 2.7342 (2.7342) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 54.1667 (54.1667) + +2023-08-05 11:00:21,650 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.358) Loss: 2.9299 (2.9082) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (11.4500)Acc@5: 37.5000 (42.8000) + +2023-08-05 11:00:28,137 - train: [ INFO] - Train: 16 [ 0/41 ( 0%)] Loss: 4.977155 (4.9772) Acc@1: 31.6667 (31.6667) Acc@5: 66.6667 (66.6667) Time: 5.119s, 23.44/s (5.119s, 23.44/s) LR: 5.769e-04 P_Replacement: 0.0005120000000000001 + +2023-08-05 11:00:53,703 - train: [ INFO] - Train: 16 [ 40/41 (100%)] Loss: 5.012502 (5.1069) Acc@1: 30.0000 (24.2683) Acc@5: 65.8333 (63.1504) Time: 0.637s, 188.36/s (0.748s, 160.36/s) LR: 5.769e-04 P_Replacement: 0.0006114854978888874 + +2023-08-05 11:00:58,042 - train: [ INFO] - Test: [ 0/16] Time: 3.284 (3.284) Loss: 2.8922 (2.8922) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 47.5000 (47.5000) + +2023-08-05 11:01:01,192 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.378) Loss: 2.8492 (2.8567) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.4500)Acc@5: 51.2500 (47.4000) + +2023-08-05 11:01:02,283 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-16.pth.tar', 13.450000553131103) + +2023-08-05 11:01:08,565 - train: [ INFO] - Train: 17 [ 0/41 ( 0%)] Loss: 4.973300 (4.9733) Acc@1: 23.3333 (23.3333) Acc@5: 63.3333 (63.3333) Time: 6.261s, 19.17/s (6.261s, 19.17/s) LR: 5.757e-04 P_Replacement: 0.0006141250000000001 + +2023-08-05 11:01:34,138 - train: [ INFO] - Train: 17 [ 40/41 (100%)] Loss: 4.565383 (4.9530) Acc@1: 30.8333 (25.4268) Acc@5: 67.5000 (63.4756) Time: 0.642s, 186.78/s (0.776s, 154.56/s) LR: 5.757e-04 P_Replacement: 0.0007260405990191668 + +2023-08-05 11:01:37,836 - train: [ INFO] - Test: [ 0/16] Time: 2.506 (2.506) Loss: 3.1295 (3.1295) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 36.6667 (36.6667) + +2023-08-05 11:01:41,009 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.334) Loss: 3.0172 (3.0234) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (12.4000)Acc@5: 41.2500 (41.7500) + +2023-08-05 11:01:46,843 - train: [ INFO] - Train: 18 [ 0/41 ( 0%)] Loss: 4.849750 (4.8498) Acc@1: 28.3333 (28.3333) Acc@5: 66.6667 (66.6667) Time: 4.882s, 24.58/s (4.882s, 24.58/s) LR: 5.745e-04 P_Replacement: 0.0007289999999999999 + +2023-08-05 11:02:12,509 - train: [ INFO] - Train: 18 [ 40/41 (100%)] Loss: 4.526542 (4.7329) Acc@1: 27.5000 (25.6911) Acc@5: 60.8333 (64.8984) Time: 0.635s, 188.91/s (0.745s, 161.07/s) LR: 5.745e-04 P_Replacement: 0.0008540774074665197 + +2023-08-05 11:02:16,251 - train: [ INFO] - Test: [ 0/16] Time: 2.472 (2.472) Loss: 2.9990 (2.9990) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 45.0000 (45.0000) + +2023-08-05 11:02:19,460 - train: [ INFO] - Test: [ 16/16] Time: 0.153 (0.334) Loss: 2.5016 (2.8430) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (14.3000)Acc@5: 60.0000 (47.8000) + +2023-08-05 11:02:20,834 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-18.pth.tar', 14.300000667572021) + +2023-08-05 11:02:25,879 - train: [ INFO] - Train: 19 [ 0/41 ( 0%)] Loss: 4.433323 (4.4333) Acc@1: 28.3333 (28.3333) Acc@5: 70.0000 (70.0000) Time: 5.024s, 23.88/s (5.024s, 23.88/s) LR: 5.732e-04 P_Replacement: 0.0008573750000000001 + +2023-08-05 11:02:51,354 - train: [ INFO] - Train: 19 [ 40/41 (100%)] Loss: 4.432605 (4.4859) Acc@1: 29.1667 (26.6667) Acc@5: 62.5000 (65.2236) Time: 0.632s, 189.93/s (0.744s, 161.32/s) LR: 5.732e-04 P_Replacement: 0.0009963459232309457 + +2023-08-05 11:02:55,017 - train: [ INFO] - Test: [ 0/16] Time: 2.454 (2.454) Loss: 2.7770 (2.7770) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 49.1667 (49.1667) + +2023-08-05 11:02:58,199 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.331) Loss: 2.7737 (2.8439) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (13.7500)Acc@5: 48.7500 (47.3000) + +2023-08-05 11:03:04,467 - train: [ INFO] - Train: 20 [ 0/41 ( 0%)] Loss: 4.316039 (4.3160) Acc@1: 35.0000 (35.0000) Acc@5: 75.0000 (75.0000) Time: 4.913s, 24.42/s (4.913s, 24.42/s) LR: 5.718e-04 P_Replacement: 0.0010000000000000002 + +2023-08-05 11:03:30,054 - train: [ INFO] - Train: 20 [ 40/41 (100%)] Loss: 4.074645 (4.1627) Acc@1: 25.8333 (26.7683) Acc@5: 66.6667 (66.0569) Time: 0.653s, 183.90/s (0.744s, 161.32/s) LR: 5.718e-04 P_Replacement: 0.0011535961463124446 + +2023-08-05 11:03:33,727 - train: [ INFO] - Test: [ 0/16] Time: 2.553 (2.553) Loss: 2.8479 (2.8479) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 47.5000 (47.5000) + +2023-08-05 11:03:36,885 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.336) Loss: 2.7126 (2.9164) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (13.7000)Acc@5: 55.0000 (44.6500) + +2023-08-05 11:03:43,266 - train: [ INFO] - Train: 21 [ 0/41 ( 0%)] Loss: 3.984119 (3.9841) Acc@1: 32.5000 (32.5000) Acc@5: 69.1667 (69.1667) Time: 4.932s, 24.33/s (4.932s, 24.33/s) LR: 5.704e-04 P_Replacement: 0.0011576249999999998 + +2023-08-05 11:04:08,793 - train: [ INFO] - Train: 21 [ 40/41 (100%)] Loss: 3.612098 (3.8484) Acc@1: 29.1667 (27.5203) Acc@5: 69.1667 (67.3984) Time: 0.637s, 188.34/s (0.743s, 161.53/s) LR: 5.704e-04 P_Replacement: 0.001326578076711017 + +2023-08-05 11:04:12,288 - train: [ INFO] - Test: [ 0/16] Time: 2.498 (2.498) Loss: 3.0042 (3.0042) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 41.6667 (41.6667) + +2023-08-05 11:04:15,492 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.335) Loss: 3.0756 (2.9281) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (12.5500)Acc@5: 43.7500 (44.3000) + +2023-08-05 11:04:21,829 - train: [ INFO] - Train: 22 [ 0/41 ( 0%)] Loss: 3.523154 (3.5232) Acc@1: 31.6667 (31.6667) Acc@5: 74.1667 (74.1667) Time: 4.995s, 24.02/s (4.995s, 24.02/s) LR: 5.689e-04 P_Replacement: 0.001331 + +2023-08-05 11:04:47,343 - train: [ INFO] - Train: 22 [ 40/41 (100%)] Loss: 3.411878 (3.5663) Acc@1: 26.6667 (28.8415) Acc@5: 65.8333 (68.1098) Time: 0.629s, 190.78/s (0.744s, 161.27/s) LR: 5.689e-04 P_Replacement: 0.0015160417144266627 + +2023-08-05 11:04:50,993 - train: [ INFO] - Test: [ 0/16] Time: 2.488 (2.488) Loss: 2.7274 (2.7274) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 45.8333 (45.8333) + +2023-08-05 11:04:54,155 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.332) Loss: 2.9618 (2.7686) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (14.9000)Acc@5: 37.5000 (48.9500) + +2023-08-05 11:04:55,512 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-22.pth.tar', 14.900000705718995) + +2023-08-05 11:05:00,455 - train: [ INFO] - Train: 23 [ 0/41 ( 0%)] Loss: 3.302293 (3.3023) Acc@1: 32.5000 (32.5000) Acc@5: 70.8333 (70.8333) Time: 4.927s, 24.36/s (4.927s, 24.36/s) LR: 5.673e-04 P_Replacement: 0.001520875 + +2023-08-05 11:05:25,996 - train: [ INFO] - Train: 23 [ 40/41 (100%)] Loss: 2.962860 (3.2934) Acc@1: 35.8333 (28.6789) Acc@5: 75.0000 (68.6992) Time: 0.634s, 189.20/s (0.743s, 161.49/s) LR: 5.673e-04 P_Replacement: 0.0017227370594593808 + +2023-08-05 11:05:29,503 - train: [ INFO] - Test: [ 0/16] Time: 2.500 (2.500) Loss: 2.6691 (2.6691) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 48.3333 (48.3333) + +2023-08-05 11:05:32,703 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.335) Loss: 2.7830 (2.8038) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (14.6500)Acc@5: 47.5000 (46.1000) + +2023-08-05 11:05:38,950 - train: [ INFO] - Train: 24 [ 0/41 ( 0%)] Loss: 2.978866 (2.9789) Acc@1: 34.1667 (34.1667) Acc@5: 67.5000 (67.5000) Time: 4.888s, 24.55/s (4.888s, 24.55/s) LR: 5.657e-04 P_Replacement: 0.0017279999999999997 + +2023-08-05 11:06:04,405 - train: [ INFO] - Train: 24 [ 40/41 (100%)] Loss: 3.302538 (3.0290) Acc@1: 27.5000 (30.0000) Acc@5: 70.0000 (69.5935) Time: 0.631s, 190.03/s (0.740s, 162.16/s) LR: 5.657e-04 P_Replacement: 0.0019474141118091728 + +2023-08-05 11:06:08,271 - train: [ INFO] - Test: [ 0/16] Time: 2.562 (2.562) Loss: 2.9050 (2.9050) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 46.6667 (46.6667) + +2023-08-05 11:06:11,455 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.338) Loss: 2.7576 (2.8072) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (16.0000)Acc@5: 45.0000 (48.1500) + +2023-08-05 11:06:12,480 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-24.pth.tar', 16.000000610351563) + +2023-08-05 11:06:17,386 - train: [ INFO] - Train: 25 [ 0/41 ( 0%)] Loss: 2.839180 (2.8392) Acc@1: 25.0000 (25.0000) Acc@5: 74.1667 (74.1667) Time: 4.890s, 24.54/s (4.890s, 24.54/s) LR: 5.640e-04 P_Replacement: 0.001953125 + +2023-08-05 11:06:42,892 - train: [ INFO] - Train: 25 [ 40/41 (100%)] Loss: 2.854757 (2.8210) Acc@1: 26.6667 (30.1626) Acc@5: 67.5000 (69.5732) Time: 0.640s, 187.47/s (0.741s, 161.88/s) LR: 5.640e-04 P_Replacement: 0.002190822871476038 + +2023-08-05 11:06:46,659 - train: [ INFO] - Test: [ 0/16] Time: 2.553 (2.553) Loss: 2.8822 (2.8822) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 45.8333 (45.8333) + +2023-08-05 11:06:49,870 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.339) Loss: 3.1806 (2.9465) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (12.8500)Acc@5: 35.0000 (43.7500) + +2023-08-05 11:06:56,143 - train: [ INFO] - Train: 26 [ 0/41 ( 0%)] Loss: 2.829713 (2.8297) Acc@1: 32.5000 (32.5000) Acc@5: 72.5000 (72.5000) Time: 4.910s, 24.44/s (4.910s, 24.44/s) LR: 5.623e-04 P_Replacement: 0.002197 + +2023-08-05 11:07:21,661 - train: [ INFO] - Train: 26 [ 40/41 (100%)] Loss: 2.560546 (2.6626) Acc@1: 33.3333 (31.9309) Acc@5: 71.6667 (71.3415) Time: 0.656s, 182.94/s (0.742s, 161.70/s) LR: 5.623e-04 P_Replacement: 0.0024537133384599764 + +2023-08-05 11:07:25,300 - train: [ INFO] - Test: [ 0/16] Time: 2.488 (2.488) Loss: 2.9546 (2.9546) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 44.1667 (44.1667) + +2023-08-05 11:07:28,485 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.334) Loss: 2.8929 (2.9198) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.3500)Acc@5: 43.7500 (44.5000) + +2023-08-05 11:07:34,893 - train: [ INFO] - Train: 27 [ 0/41 ( 0%)] Loss: 2.507388 (2.5074) Acc@1: 35.0000 (35.0000) Acc@5: 76.6667 (76.6667) Time: 4.954s, 24.22/s (4.954s, 24.22/s) LR: 5.604e-04 P_Replacement: 0.0024603750000000003 + +2023-08-05 11:08:00,312 - train: [ INFO] - Train: 27 [ 40/41 (100%)] Loss: 2.387285 (2.5698) Acc@1: 31.6667 (31.0976) Acc@5: 78.3333 (71.2398) Time: 0.640s, 187.45/s (0.741s, 162.00/s) LR: 5.604e-04 P_Replacement: 0.002736835512760988 + +2023-08-05 11:08:03,775 - train: [ INFO] - Test: [ 0/16] Time: 2.504 (2.504) Loss: 2.8979 (2.8979) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 43.3333 (43.3333) + +2023-08-05 11:08:06,983 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.336) Loss: 2.9787 (2.8930) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (13.5000)Acc@5: 47.5000 (44.6000) + +2023-08-05 11:08:13,297 - train: [ INFO] - Train: 28 [ 0/41 ( 0%)] Loss: 2.521356 (2.5214) Acc@1: 31.6667 (31.6667) Acc@5: 67.5000 (67.5000) Time: 4.926s, 24.36/s (4.926s, 24.36/s) LR: 5.585e-04 P_Replacement: 0.0027440000000000008 + +2023-08-05 11:08:38,858 - train: [ INFO] - Train: 28 [ 40/41 (100%)] Loss: 2.568210 (2.5050) Acc@1: 33.3333 (32.8049) Acc@5: 65.8333 (72.1342) Time: 0.634s, 189.30/s (0.744s, 161.39/s) LR: 5.585e-04 P_Replacement: 0.003040939394379071 + +2023-08-05 11:08:42,594 - train: [ INFO] - Test: [ 0/16] Time: 2.522 (2.522) Loss: 3.0599 (3.0599) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 38.3333 (38.3333) + +2023-08-05 11:08:45,784 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.336) Loss: 3.0677 (2.9770) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (11.3500)Acc@5: 35.0000 (41.4500) + +2023-08-05 11:08:52,060 - train: [ INFO] - Train: 29 [ 0/41 ( 0%)] Loss: 2.444329 (2.4443) Acc@1: 33.3333 (33.3333) Acc@5: 77.5000 (77.5000) Time: 4.849s, 24.75/s (4.849s, 24.75/s) LR: 5.566e-04 P_Replacement: 0.0030486249999999993 + +2023-08-05 11:09:17,689 - train: [ INFO] - Train: 29 [ 40/41 (100%)] Loss: 2.435620 (2.4191) Acc@1: 29.1667 (33.0081) Acc@5: 70.8333 (73.8618) Time: 0.639s, 187.78/s (0.743s, 161.44/s) LR: 5.566e-04 P_Replacement: 0.003366774983314229 + +2023-08-05 11:09:21,253 - train: [ INFO] - Test: [ 0/16] Time: 2.515 (2.515) Loss: 2.9549 (2.9549) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 46.6667 (46.6667) + +2023-08-05 11:09:24,442 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.336) Loss: 2.5573 (2.9232) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (11.9000)Acc@5: 56.2500 (42.7500) + +2023-08-05 11:09:30,575 - train: [ INFO] - Train: 30 [ 0/41 ( 0%)] Loss: 2.382290 (2.3823) Acc@1: 31.6667 (31.6667) Acc@5: 73.3333 (73.3333) Time: 4.951s, 24.24/s (4.951s, 24.24/s) LR: 5.546e-04 P_Replacement: 0.0033749999999999995 + +2023-08-05 11:09:56,135 - train: [ INFO] - Train: 30 [ 40/41 (100%)] Loss: 2.378710 (2.3569) Acc@1: 35.8333 (33.9837) Acc@5: 72.5000 (73.3333) Time: 0.628s, 191.06/s (0.744s, 161.27/s) LR: 5.546e-04 P_Replacement: 0.00371509227956646 + +2023-08-05 11:09:59,768 - train: [ INFO] - Test: [ 0/16] Time: 2.581 (2.581) Loss: 2.8803 (2.8803) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 46.6667 (46.6667) + +2023-08-05 11:10:02,925 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.338) Loss: 3.1064 (3.0049) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (12.4500)Acc@5: 41.2500 (41.0500) + +2023-08-05 11:10:08,886 - train: [ INFO] - Train: 31 [ 0/41 ( 0%)] Loss: 2.267445 (2.2674) Acc@1: 35.0000 (35.0000) Acc@5: 78.3333 (78.3333) Time: 4.836s, 24.81/s (4.836s, 24.81/s) LR: 5.525e-04 P_Replacement: 0.0037238749999999998 + +2023-08-05 11:10:34,519 - train: [ INFO] - Train: 31 [ 40/41 (100%)] Loss: 2.503695 (2.3505) Acc@1: 28.3333 (34.6748) Acc@5: 71.6667 (75.0610) Time: 0.642s, 186.86/s (0.743s, 161.49/s) LR: 5.525e-04 P_Replacement: 0.004086641283135764 + +2023-08-05 11:10:38,251 - train: [ INFO] - Test: [ 0/16] Time: 2.525 (2.525) Loss: 2.7447 (2.7447) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 50.8333 (50.8333) + +2023-08-05 11:10:41,446 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.336) Loss: 3.0550 (2.9559) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (12.9000)Acc@5: 35.0000 (41.6000) + +2023-08-05 11:10:47,672 - train: [ INFO] - Train: 32 [ 0/41 ( 0%)] Loss: 2.094272 (2.0943) Acc@1: 42.5000 (42.5000) Acc@5: 78.3333 (78.3333) Time: 4.941s, 24.28/s (4.941s, 24.28/s) LR: 5.503e-04 P_Replacement: 0.004096000000000001 + +2023-08-05 11:11:13,201 - train: [ INFO] - Train: 32 [ 40/41 (100%)] Loss: 2.433861 (2.3066) Acc@1: 30.8333 (35.2236) Acc@5: 77.5000 (74.9390) Time: 0.636s, 188.79/s (0.743s, 161.47/s) LR: 5.503e-04 P_Replacement: 0.004482171994022142 + +2023-08-05 11:11:16,760 - train: [ INFO] - Test: [ 0/16] Time: 2.513 (2.513) Loss: 2.8659 (2.8659) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 44.1667 (44.1667) + +2023-08-05 11:11:19,965 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.336) Loss: 2.7671 (2.8177) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (14.6500)Acc@5: 48.7500 (48.2000) + +2023-08-05 11:11:26,113 - train: [ INFO] - Train: 33 [ 0/41 ( 0%)] Loss: 2.303005 (2.3030) Acc@1: 33.3333 (33.3333) Acc@5: 73.3333 (73.3333) Time: 4.878s, 24.60/s (4.878s, 24.60/s) LR: 5.481e-04 P_Replacement: 0.0044921250000000005 + +2023-08-05 11:11:51,588 - train: [ INFO] - Train: 33 [ 40/41 (100%)] Loss: 2.225261 (2.2612) Acc@1: 31.6667 (36.1585) Acc@5: 79.1667 (76.2195) Time: 0.639s, 187.84/s (0.740s, 162.11/s) LR: 5.481e-04 P_Replacement: 0.004902434412225593 + +2023-08-05 11:11:55,279 - train: [ INFO] - Test: [ 0/16] Time: 2.508 (2.508) Loss: 3.1157 (3.1157) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 39.1667 (39.1667) + +2023-08-05 11:11:58,478 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.336) Loss: 2.9848 (2.9384) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (11.1000)Acc@5: 36.2500 (44.9000) + +2023-08-05 11:12:04,689 - train: [ INFO] - Train: 34 [ 0/41 ( 0%)] Loss: 2.247579 (2.2476) Acc@1: 38.3333 (38.3333) Acc@5: 77.5000 (77.5000) Time: 4.837s, 24.81/s (4.837s, 24.81/s) LR: 5.458e-04 P_Replacement: 0.004913000000000001 + +2023-08-05 11:12:30,288 - train: [ INFO] - Train: 34 [ 40/41 (100%)] Loss: 2.262745 (2.2427) Acc@1: 35.0000 (37.4594) Acc@5: 74.1667 (76.8089) Time: 0.636s, 188.78/s (0.742s, 161.67/s) LR: 5.458e-04 P_Replacement: 0.0053481785377461144 + +2023-08-05 11:12:33,918 - train: [ INFO] - Test: [ 0/16] Time: 2.567 (2.567) Loss: 2.8234 (2.8234) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 43.3333 (43.3333) + +2023-08-05 11:12:37,100 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.338) Loss: 2.7501 (2.8142) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (14.8500)Acc@5: 51.2500 (45.7000) + +2023-08-05 11:12:43,206 - train: [ INFO] - Train: 35 [ 0/41 ( 0%)] Loss: 2.136972 (2.1370) Acc@1: 40.8333 (40.8333) Acc@5: 81.6667 (81.6667) Time: 4.935s, 24.31/s (4.935s, 24.31/s) LR: 5.435e-04 P_Replacement: 0.005359374999999999 + +2023-08-05 11:13:08,903 - train: [ INFO] - Train: 35 [ 40/41 (100%)] Loss: 2.188687 (2.2052) Acc@1: 35.8333 (38.3130) Acc@5: 75.0000 (77.8862) Time: 0.637s, 188.30/s (0.747s, 160.62/s) LR: 5.435e-04 P_Replacement: 0.005820154370583711 + +2023-08-05 11:13:12,627 - train: [ INFO] - Test: [ 0/16] Time: 2.500 (2.500) Loss: 2.9183 (2.9183) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 43.3333 (43.3333) + +2023-08-05 11:13:15,792 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.333) Loss: 2.7459 (2.9185) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (13.1500)Acc@5: 56.2500 (44.3000) + +2023-08-05 11:13:22,023 - train: [ INFO] - Train: 36 [ 0/41 ( 0%)] Loss: 2.047155 (2.0472) Acc@1: 45.0000 (45.0000) Acc@5: 80.8333 (80.8333) Time: 4.877s, 24.61/s (4.877s, 24.61/s) LR: 5.411e-04 P_Replacement: 0.0058319999999999995 + +2023-08-05 11:13:47,604 - train: [ INFO] - Train: 36 [ 40/41 (100%)] Loss: 2.320980 (2.1960) Acc@1: 29.1667 (38.7398) Acc@5: 76.6667 (79.1057) Time: 0.631s, 190.04/s (0.743s, 161.55/s) LR: 5.411e-04 P_Replacement: 0.006319111910738381 + +2023-08-05 11:13:51,172 - train: [ INFO] - Test: [ 0/16] Time: 2.506 (2.506) Loss: 2.6572 (2.6572) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 53.3333 (53.3333) + +2023-08-05 11:13:54,335 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.333) Loss: 2.8076 (2.7929) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (14.8000)Acc@5: 51.2500 (49.2000) + +2023-08-05 11:14:00,140 - train: [ INFO] - Train: 37 [ 0/41 ( 0%)] Loss: 2.044752 (2.0448) Acc@1: 36.6667 (36.6667) Acc@5: 82.5000 (82.5000) Time: 4.768s, 25.17/s (4.768s, 25.17/s) LR: 5.387e-04 P_Replacement: 0.006331625 + +2023-08-05 11:14:25,744 - train: [ INFO] - Train: 37 [ 40/41 (100%)] Loss: 2.094365 (2.1614) Acc@1: 45.0000 (39.8984) Acc@5: 78.3333 (79.3293) Time: 0.645s, 186.15/s (0.741s, 162.00/s) LR: 5.387e-04 P_Replacement: 0.006845801158210125 + +2023-08-05 11:14:29,508 - train: [ INFO] - Test: [ 0/16] Time: 2.510 (2.510) Loss: 3.0142 (3.0142) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 47.5000 (47.5000) + +2023-08-05 11:14:32,702 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.336) Loss: 2.8883 (2.9590) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (10.6000)Acc@5: 51.2500 (43.6000) + +2023-08-05 11:14:38,620 - train: [ INFO] - Train: 38 [ 0/41 ( 0%)] Loss: 2.160460 (2.1605) Acc@1: 45.8333 (45.8333) Acc@5: 75.0000 (75.0000) Time: 4.831s, 24.84/s (4.831s, 24.84/s) LR: 5.361e-04 P_Replacement: 0.0068590000000000005 + +2023-08-05 11:15:04,268 - train: [ INFO] - Train: 38 [ 40/41 (100%)] Loss: 2.144833 (2.1588) Acc@1: 35.8333 (40.8130) Acc@5: 76.6667 (80.0203) Time: 0.635s, 188.85/s (0.743s, 161.43/s) LR: 5.361e-04 P_Replacement: 0.007400972112998941 + +2023-08-05 11:15:07,796 - train: [ INFO] - Test: [ 0/16] Time: 2.473 (2.473) Loss: 2.9895 (2.9895) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 38.3333 (38.3333) + +2023-08-05 11:15:10,978 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.333) Loss: 3.0715 (2.9656) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (11.5000)Acc@5: 40.0000 (41.3000) + +2023-08-05 11:15:16,866 - train: [ INFO] - Train: 39 [ 0/41 ( 0%)] Loss: 2.024428 (2.0244) Acc@1: 50.0000 (50.0000) Acc@5: 80.8333 (80.8333) Time: 4.962s, 24.18/s (4.962s, 24.18/s) LR: 5.336e-04 P_Replacement: 0.0074148750000000005 + +2023-08-05 11:15:42,357 - train: [ INFO] - Train: 39 [ 40/41 (100%)] Loss: 2.517320 (2.1626) Acc@1: 39.1667 (40.8943) Acc@5: 79.1667 (80.3455) Time: 0.649s, 184.95/s (0.743s, 161.57/s) LR: 5.336e-04 P_Replacement: 0.007985374775104831 + +2023-08-05 11:15:46,024 - train: [ INFO] - Test: [ 0/16] Time: 2.576 (2.576) Loss: 2.8331 (2.8331) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 51.6667 (51.6667) + +2023-08-05 11:15:49,222 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.340) Loss: 2.5372 (2.8268) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (14.4500)Acc@5: 56.2500 (48.4500) + +2023-08-05 11:15:55,472 - train: [ INFO] - Train: 40 [ 0/41 ( 0%)] Loss: 1.793721 (1.7937) Acc@1: 53.3333 (53.3333) Acc@5: 84.1667 (84.1667) Time: 4.897s, 24.50/s (4.897s, 24.50/s) LR: 5.309e-04 P_Replacement: 0.008000000000000002 + +2023-08-05 11:16:21,059 - train: [ INFO] - Train: 40 [ 40/41 (100%)] Loss: 2.150564 (2.0966) Acc@1: 39.1667 (42.1748) Acc@5: 80.8333 (80.9756) Time: 0.641s, 187.22/s (0.743s, 161.40/s) LR: 5.309e-04 P_Replacement: 0.008599759144527791 + +2023-08-05 11:16:24,681 - train: [ INFO] - Test: [ 0/16] Time: 2.707 (2.707) Loss: 2.9306 (2.9306) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 45.0000 (45.0000) + +2023-08-05 11:16:27,856 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.346) Loss: 2.8773 (2.8610) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (13.3500)Acc@5: 46.2500 (46.2500) + +2023-08-05 11:16:33,831 - train: [ INFO] - Train: 41 [ 0/41 ( 0%)] Loss: 2.035014 (2.0350) Acc@1: 43.3333 (43.3333) Acc@5: 82.5000 (82.5000) Time: 4.917s, 24.40/s (4.917s, 24.40/s) LR: 5.283e-04 P_Replacement: 0.008615124999999998 + +2023-08-05 11:16:59,397 - train: [ INFO] - Train: 41 [ 40/41 (100%)] Loss: 2.138741 (2.0995) Acc@1: 46.6667 (43.1504) Acc@5: 76.6667 (81.4837) Time: 0.644s, 186.41/s (0.743s, 161.41/s) LR: 5.283e-04 P_Replacement: 0.009244875221267827 + +2023-08-05 11:17:02,856 - train: [ INFO] - Test: [ 0/16] Time: 2.482 (2.482) Loss: 3.3566 (3.3566) cLoss: 0.0000 (0.0000) Acc@1: 3.3333 ( 3.3333)Acc@5: 37.5000 (37.5000) + +2023-08-05 11:17:06,051 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.334) Loss: 3.2459 (3.2505) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 7.2500)Acc@5: 38.7500 (39.3000) + +2023-08-05 11:17:12,320 - train: [ INFO] - Train: 42 [ 0/41 ( 0%)] Loss: 2.064456 (2.0645) Acc@1: 47.5000 (47.5000) Acc@5: 83.3333 (83.3333) Time: 4.896s, 24.51/s (4.896s, 24.51/s) LR: 5.255e-04 P_Replacement: 0.009260999999999998 + +2023-08-05 11:17:37,835 - train: [ INFO] - Train: 42 [ 40/41 (100%)] Loss: 2.364795 (2.0686) Acc@1: 44.1667 (43.5163) Acc@5: 88.3333 (83.0488) Time: 0.642s, 186.94/s (0.742s, 161.79/s) LR: 5.255e-04 P_Replacement: 0.009921473005324937 + +2023-08-05 11:17:41,506 - train: [ INFO] - Test: [ 0/16] Time: 2.494 (2.494) Loss: 2.9887 (2.9887) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 39.1667 (39.1667) + +2023-08-05 11:17:44,686 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.334) Loss: 2.9597 (3.0498) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (10.3500)Acc@5: 50.0000 (42.3500) + +2023-08-05 11:17:50,845 - train: [ INFO] - Train: 43 [ 0/41 ( 0%)] Loss: 2.064243 (2.0642) Acc@1: 42.5000 (42.5000) Acc@5: 83.3333 (83.3333) Time: 4.833s, 24.83/s (4.833s, 24.83/s) LR: 5.227e-04 P_Replacement: 0.009938375 + +2023-08-05 11:18:16,405 - train: [ INFO] - Train: 43 [ 40/41 (100%)] Loss: 1.936265 (2.0385) Acc@1: 49.1667 (44.8577) Acc@5: 88.3333 (83.1301) Time: 0.641s, 187.10/s (0.741s, 161.89/s) LR: 5.227e-04 P_Replacement: 0.010630302496699119 + +2023-08-05 11:18:20,093 - train: [ INFO] - Test: [ 0/16] Time: 2.498 (2.498) Loss: 2.9909 (2.9909) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 41.6667 (41.6667) + +2023-08-05 11:18:23,287 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.335) Loss: 3.2324 (3.1460) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 9.2500)Acc@5: 33.7500 (40.3000) + +2023-08-05 11:18:29,496 - train: [ INFO] - Train: 44 [ 0/41 ( 0%)] Loss: 1.804605 (1.8046) Acc@1: 54.1667 (54.1667) Acc@5: 85.8333 (85.8333) Time: 4.899s, 24.50/s (4.899s, 24.50/s) LR: 5.199e-04 P_Replacement: 0.010648 + +2023-08-05 11:18:54,967 - train: [ INFO] - Train: 44 [ 40/41 (100%)] Loss: 2.019597 (2.0168) Acc@1: 50.8333 (46.0163) Acc@5: 77.5000 (83.4959) Time: 0.642s, 186.95/s (0.741s, 162.01/s) LR: 5.199e-04 P_Replacement: 0.011372113695390375 + +2023-08-05 11:18:58,751 - train: [ INFO] - Test: [ 0/16] Time: 2.531 (2.531) Loss: 3.0277 (3.0277) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 39.1667 (39.1667) + +2023-08-05 11:19:01,923 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.335) Loss: 2.8740 (3.1060) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 ( 9.9000)Acc@5: 46.2500 (40.8500) + +2023-08-05 11:19:07,940 - train: [ INFO] - Train: 45 [ 0/41 ( 0%)] Loss: 1.844814 (1.8448) Acc@1: 54.1667 (54.1667) Acc@5: 86.6667 (86.6667) Time: 4.947s, 24.26/s (4.947s, 24.26/s) LR: 5.169e-04 P_Replacement: 0.011390625000000001 + +2023-08-05 11:19:33,492 - train: [ INFO] - Train: 45 [ 40/41 (100%)] Loss: 2.119962 (1.9637) Acc@1: 40.0000 (46.5650) Acc@5: 80.0000 (84.2480) Time: 0.641s, 187.23/s (0.744s, 161.34/s) LR: 5.169e-04 P_Replacement: 0.012147656601398705 + +2023-08-05 11:19:36,927 - train: [ INFO] - Test: [ 0/16] Time: 2.515 (2.515) Loss: 2.8594 (2.8594) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 45.0000 (45.0000) + +2023-08-05 11:19:40,102 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.335) Loss: 2.9171 (2.8678) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (14.0500)Acc@5: 43.7500 (46.4000) + +2023-08-05 11:19:46,392 - train: [ INFO] - Train: 46 [ 0/41 ( 0%)] Loss: 1.774927 (1.7749) Acc@1: 50.0000 (50.0000) Acc@5: 92.5000 (92.5000) Time: 4.925s, 24.37/s (4.925s, 24.37/s) LR: 5.140e-04 P_Replacement: 0.012167 + +2023-08-05 11:20:11,849 - train: [ INFO] - Train: 46 [ 40/41 (100%)] Loss: 1.894952 (1.9662) Acc@1: 49.1667 (48.0285) Acc@5: 89.1667 (85.6098) Time: 0.636s, 188.60/s (0.741s, 161.94/s) LR: 5.140e-04 P_Replacement: 0.012957681214724102 + +2023-08-05 11:20:15,617 - train: [ INFO] - Test: [ 0/16] Time: 2.576 (2.576) Loss: 3.0259 (3.0259) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 42.5000 (42.5000) + +2023-08-05 11:20:18,836 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.341) Loss: 2.9179 (3.0438) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (10.1000)Acc@5: 46.2500 (42.9500) + +2023-08-05 11:20:25,168 - train: [ INFO] - Train: 47 [ 0/41 ( 0%)] Loss: 1.732740 (1.7327) Acc@1: 55.8333 (55.8333) Acc@5: 91.6667 (91.6667) Time: 4.965s, 24.17/s (4.965s, 24.17/s) LR: 5.110e-04 P_Replacement: 0.012977874999999998 + +2023-08-05 11:20:50,724 - train: [ INFO] - Train: 47 [ 40/41 (100%)] Loss: 2.093379 (1.9432) Acc@1: 40.0000 (48.5163) Acc@5: 80.0000 (86.1789) Time: 0.628s, 191.10/s (0.744s, 161.21/s) LR: 5.110e-04 P_Replacement: 0.013802937535366577 + +2023-08-05 11:20:54,112 - train: [ INFO] - Test: [ 0/16] Time: 2.482 (2.482) Loss: 3.2793 (3.2793) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 41.6667 (41.6667) + +2023-08-05 11:20:57,309 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.334) Loss: 3.2083 (3.2669) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 8.3000)Acc@5: 42.5000 (38.6500) + +2023-08-05 11:21:03,721 - train: [ INFO] - Train: 48 [ 0/41 ( 0%)] Loss: 1.829733 (1.8297) Acc@1: 52.5000 (52.5000) Acc@5: 86.6667 (86.6667) Time: 5.001s, 23.99/s (5.001s, 23.99/s) LR: 5.079e-04 P_Replacement: 0.013823999999999998 + +2023-08-05 11:21:29,276 - train: [ INFO] - Train: 48 [ 40/41 (100%)] Loss: 1.913622 (1.9353) Acc@1: 46.6667 (48.9634) Acc@5: 86.6667 (86.8293) Time: 0.657s, 182.73/s (0.745s, 161.03/s) LR: 5.079e-04 P_Replacement: 0.014684175563326126 + +2023-08-05 11:21:32,949 - train: [ INFO] - Test: [ 0/16] Time: 2.527 (2.527) Loss: 3.2542 (3.2542) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 38.3333 (38.3333) + +2023-08-05 11:21:36,166 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.338) Loss: 3.4591 (3.2500) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 9.1500)Acc@5: 26.2500 (37.1000) + +2023-08-05 11:21:42,180 - train: [ INFO] - Train: 49 [ 0/41 ( 0%)] Loss: 1.886358 (1.8864) Acc@1: 50.0000 (50.0000) Acc@5: 90.0000 (90.0000) Time: 4.909s, 24.45/s (4.909s, 24.45/s) LR: 5.048e-04 P_Replacement: 0.014706124999999999 + +2023-08-05 11:22:07,752 - train: [ INFO] - Train: 49 [ 40/41 (100%)] Loss: 1.844541 (1.8619) Acc@1: 47.5000 (51.7480) Acc@5: 85.0000 (87.2155) Time: 0.643s, 186.56/s (0.743s, 161.42/s) LR: 5.048e-04 P_Replacement: 0.015602145298602748 + +2023-08-05 11:22:11,431 - train: [ INFO] - Test: [ 0/16] Time: 2.465 (2.465) Loss: 2.9003 (2.9003) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 40.8333 (40.8333) + +2023-08-05 11:22:14,630 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.333) Loss: 2.8829 (2.8808) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.2500)Acc@5: 46.2500 (47.8500) + +2023-08-05 11:22:20,929 - train: [ INFO] - Train: 50 [ 0/41 ( 0%)] Loss: 1.860892 (1.8609) Acc@1: 54.1667 (54.1667) Acc@5: 90.8333 (90.8333) Time: 4.920s, 24.39/s (4.920s, 24.39/s) LR: 5.016e-04 P_Replacement: 0.015625 + +2023-08-05 11:22:46,475 - train: [ INFO] - Train: 50 [ 40/41 (100%)] Loss: 1.832415 (1.8291) Acc@1: 58.3333 (52.2561) Acc@5: 92.5000 (88.3943) Time: 0.645s, 185.98/s (0.743s, 161.50/s) LR: 5.016e-04 P_Replacement: 0.016557596741196442 + +2023-08-05 11:22:49,994 - train: [ INFO] - Test: [ 0/16] Time: 2.599 (2.599) Loss: 2.7768 (2.7768) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 52.5000 (52.5000) + +2023-08-05 11:22:53,159 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.339) Loss: 2.9394 (2.9473) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.1500)Acc@5: 57.5000 (49.6000) + +2023-08-05 11:22:59,425 - train: [ INFO] - Train: 51 [ 0/41 ( 0%)] Loss: 1.746002 (1.7460) Acc@1: 55.8333 (55.8333) Acc@5: 90.8333 (90.8333) Time: 4.904s, 24.47/s (4.904s, 24.47/s) LR: 4.984e-04 P_Replacement: 0.016581375000000002 + +2023-08-05 11:23:24,920 - train: [ INFO] - Train: 51 [ 40/41 (100%)] Loss: 1.850694 (1.8159) Acc@1: 50.8333 (52.9065) Acc@5: 85.0000 (89.0854) Time: 0.642s, 186.89/s (0.741s, 161.86/s) LR: 4.984e-04 P_Replacement: 0.017551279891107212 + +2023-08-05 11:23:28,437 - train: [ INFO] - Test: [ 0/16] Time: 2.512 (2.512) Loss: 2.8083 (2.8083) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 50.0000 (50.0000) + +2023-08-05 11:23:31,623 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.335) Loss: 2.7363 (2.8322) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (16.1000)Acc@5: 47.5000 (47.8500) + +2023-08-05 11:23:33,010 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-51.pth.tar', 16.100000896453857) + +2023-08-05 11:23:37,859 - train: [ INFO] - Train: 52 [ 0/41 ( 0%)] Loss: 1.576250 (1.5762) Acc@1: 59.1667 (59.1667) Acc@5: 92.5000 (92.5000) Time: 4.834s, 24.83/s (4.834s, 24.83/s) LR: 4.951e-04 P_Replacement: 0.017576 + +2023-08-05 11:24:03,343 - train: [ INFO] - Train: 52 [ 40/41 (100%)] Loss: 1.915917 (1.7991) Acc@1: 53.3333 (54.0854) Acc@5: 85.8333 (89.4919) Time: 0.635s, 188.95/s (0.739s, 162.29/s) LR: 4.951e-04 P_Replacement: 0.01858394474833505 + +2023-08-05 11:24:07,024 - train: [ INFO] - Test: [ 0/16] Time: 2.484 (2.484) Loss: 3.1952 (3.1952) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 40.8333 (40.8333) + +2023-08-05 11:24:10,223 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.334) Loss: 3.2404 (3.1380) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 ( 9.6000)Acc@5: 46.2500 (43.8000) + +2023-08-05 11:24:16,249 - train: [ INFO] - Train: 53 [ 0/41 ( 0%)] Loss: 1.907073 (1.9071) Acc@1: 50.8333 (50.8333) Acc@5: 87.5000 (87.5000) Time: 5.076s, 23.64/s (5.076s, 23.64/s) LR: 4.918e-04 P_Replacement: 0.018609625 + +2023-08-05 11:24:41,829 - train: [ INFO] - Train: 53 [ 40/41 (100%)] Loss: 1.886941 (1.7625) Acc@1: 47.5000 (55.3862) Acc@5: 89.1667 (89.9187) Time: 0.644s, 186.42/s (0.748s, 160.50/s) LR: 4.918e-04 P_Replacement: 0.01965634131287997 + +2023-08-05 11:24:45,465 - train: [ INFO] - Test: [ 0/16] Time: 2.489 (2.489) Loss: 3.1301 (3.1301) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 40.8333 (40.8333) + +2023-08-05 11:24:48,652 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.334) Loss: 3.1426 (3.0706) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 (11.3000)Acc@5: 42.5000 (44.3000) + +2023-08-05 11:24:54,852 - train: [ INFO] - Train: 54 [ 0/41 ( 0%)] Loss: 1.473083 (1.4731) Acc@1: 65.8333 (65.8333) Acc@5: 94.1667 (94.1667) Time: 4.860s, 24.69/s (4.860s, 24.69/s) LR: 4.884e-04 P_Replacement: 0.019683000000000003 + +2023-08-05 11:25:20,403 - train: [ INFO] - Train: 54 [ 40/41 (100%)] Loss: 1.734976 (1.7461) Acc@1: 61.6667 (56.7683) Acc@5: 91.6667 (90.0813) Time: 0.639s, 187.81/s (0.742s, 161.79/s) LR: 4.884e-04 P_Replacement: 0.020769219584741955 + +2023-08-05 11:25:24,116 - train: [ INFO] - Test: [ 0/16] Time: 2.549 (2.549) Loss: 3.5364 (3.5364) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 42.5000 (42.5000) + +2023-08-05 11:25:27,327 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.339) Loss: 3.8574 (3.6379) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 7.9500)Acc@5: 35.0000 (38.2000) + +2023-08-05 11:25:33,237 - train: [ INFO] - Train: 55 [ 0/41 ( 0%)] Loss: 1.549174 (1.5492) Acc@1: 63.3333 (63.3333) Acc@5: 92.5000 (92.5000) Time: 4.966s, 24.16/s (4.966s, 24.16/s) LR: 4.850e-04 P_Replacement: 0.020796875000000006 + +2023-08-05 11:25:58,703 - train: [ INFO] - Train: 55 [ 40/41 (100%)] Loss: 1.751618 (1.7089) Acc@1: 56.6667 (58.7398) Acc@5: 89.1667 (90.8740) Time: 0.632s, 189.88/s (0.742s, 161.68/s) LR: 4.850e-04 P_Replacement: 0.021923329563921016 + +2023-08-05 11:26:02,546 - train: [ INFO] - Test: [ 0/16] Time: 2.560 (2.560) Loss: 3.7560 (3.7560) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 39.1667 (39.1667) + +2023-08-05 11:26:05,735 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.338) Loss: 3.7484 (3.9242) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 6.4000)Acc@5: 38.7500 (36.3000) + +2023-08-05 11:26:12,031 - train: [ INFO] - Train: 56 [ 0/41 ( 0%)] Loss: 1.519865 (1.5199) Acc@1: 72.5000 (72.5000) Acc@5: 94.1667 (94.1667) Time: 4.858s, 24.70/s (4.858s, 24.70/s) LR: 4.815e-04 P_Replacement: 0.021952000000000006 + +2023-08-05 11:26:37,591 - train: [ INFO] - Train: 56 [ 40/41 (100%)] Loss: 1.563926 (1.6820) Acc@1: 63.3333 (60.1220) Acc@5: 96.6667 (91.4024) Time: 0.635s, 188.99/s (0.742s, 161.76/s) LR: 4.815e-04 P_Replacement: 0.02311942125041714 + +2023-08-05 11:26:41,085 - train: [ INFO] - Test: [ 0/16] Time: 2.567 (2.567) Loss: 3.4780 (3.4780) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 35.0000 (35.0000) + +2023-08-05 11:26:44,290 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.340) Loss: 3.4877 (3.3056) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 9.0000)Acc@5: 35.0000 (40.7000) + +2023-08-05 11:26:50,363 - train: [ INFO] - Train: 57 [ 0/41 ( 0%)] Loss: 1.532193 (1.5322) Acc@1: 58.3333 (58.3333) Acc@5: 92.5000 (92.5000) Time: 5.004s, 23.98/s (5.004s, 23.98/s) LR: 4.780e-04 P_Replacement: 0.023149124999999993 + +2023-08-05 11:27:15,898 - train: [ INFO] - Train: 57 [ 40/41 (100%)] Loss: 1.662910 (1.6758) Acc@1: 60.0000 (60.4472) Acc@5: 93.3333 (91.9309) Time: 0.636s, 188.78/s (0.745s, 161.11/s) LR: 4.780e-04 P_Replacement: 0.024358244644230347 + +2023-08-05 11:27:19,396 - train: [ INFO] - Test: [ 0/16] Time: 2.567 (2.567) Loss: 3.6866 (3.6866) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 36.6667 (36.6667) + +2023-08-05 11:27:22,597 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.339) Loss: 3.4634 (3.5854) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 7.4000)Acc@5: 35.0000 (37.3500) + +2023-08-05 11:27:28,960 - train: [ INFO] - Train: 58 [ 0/41 ( 0%)] Loss: 1.548162 (1.5482) Acc@1: 65.0000 (65.0000) Acc@5: 95.8333 (95.8333) Time: 4.959s, 24.20/s (4.959s, 24.20/s) LR: 4.745e-04 P_Replacement: 0.024388999999999994 + +2023-08-05 11:27:54,523 - train: [ INFO] - Train: 58 [ 40/41 (100%)] Loss: 1.838660 (1.6449) Acc@1: 50.0000 (60.2439) Acc@5: 90.0000 (93.0285) Time: 0.640s, 187.42/s (0.744s, 161.21/s) LR: 4.745e-04 P_Replacement: 0.025640549745360626 + +2023-08-05 11:27:58,034 - train: [ INFO] - Test: [ 0/16] Time: 2.486 (2.486) Loss: 3.8069 (3.8069) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 30.8333 (30.8333) + +2023-08-05 11:28:01,233 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.334) Loss: 3.5475 (3.8136) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 7.6000)Acc@5: 42.5000 (35.1500) + +2023-08-05 11:28:07,500 - train: [ INFO] - Train: 59 [ 0/41 ( 0%)] Loss: 1.498029 (1.4980) Acc@1: 65.8333 (65.8333) Acc@5: 95.8333 (95.8333) Time: 4.966s, 24.16/s (4.966s, 24.16/s) LR: 4.709e-04 P_Replacement: 0.025672374999999997 + +2023-08-05 11:28:33,002 - train: [ INFO] - Train: 59 [ 40/41 (100%)] Loss: 1.642280 (1.5973) Acc@1: 67.5000 (62.5000) Acc@5: 92.5000 (93.4146) Time: 0.632s, 189.77/s (0.743s, 161.49/s) LR: 4.709e-04 P_Replacement: 0.02696708655380798 + +2023-08-05 11:28:36,554 - train: [ INFO] - Test: [ 0/16] Time: 2.502 (2.502) Loss: 3.4341 (3.4341) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 37.5000 (37.5000) + +2023-08-05 11:28:39,721 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.334) Loss: 3.3867 (3.3947) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 ( 9.6000)Acc@5: 31.2500 (39.7000) + +2023-08-05 11:28:45,998 - train: [ INFO] - Train: 60 [ 0/41 ( 0%)] Loss: 1.421381 (1.4214) Acc@1: 65.0000 (65.0000) Acc@5: 96.6667 (96.6667) Time: 4.878s, 24.60/s (4.878s, 24.60/s) LR: 4.672e-04 P_Replacement: 0.026999999999999996 + +2023-08-05 11:29:11,527 - train: [ INFO] - Train: 60 [ 40/41 (100%)] Loss: 1.751621 (1.5705) Acc@1: 60.0000 (64.3089) Acc@5: 94.1667 (93.9431) Time: 0.644s, 186.21/s (0.742s, 161.81/s) LR: 4.672e-04 P_Replacement: 0.028338605069572406 + +2023-08-05 11:29:15,218 - train: [ INFO] - Test: [ 0/16] Time: 2.506 (2.506) Loss: 4.4559 (4.4559) cLoss: 0.0000 (0.0000) Acc@1: 3.3333 ( 3.3333)Acc@5: 30.8333 (30.8333) + +2023-08-05 11:29:18,391 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.334) Loss: 4.5532 (4.2850) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 6.7500)Acc@5: 30.0000 (32.9500) + +2023-08-05 11:29:24,627 - train: [ INFO] - Train: 61 [ 0/41 ( 0%)] Loss: 1.304548 (1.3045) Acc@1: 72.5000 (72.5000) Acc@5: 95.0000 (95.0000) Time: 4.948s, 24.25/s (4.948s, 24.25/s) LR: 4.636e-04 P_Replacement: 0.028372625 + +2023-08-05 11:29:50,202 - train: [ INFO] - Train: 61 [ 40/41 (100%)] Loss: 1.487909 (1.5346) Acc@1: 65.0000 (66.1992) Acc@5: 95.0000 (94.1667) Time: 0.629s, 190.93/s (0.744s, 161.20/s) LR: 4.636e-04 P_Replacement: 0.029755855292653906 + +2023-08-05 11:29:53,993 - train: [ INFO] - Test: [ 0/16] Time: 2.581 (2.581) Loss: 4.2522 (4.2522) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 30.8333 (30.8333) + +2023-08-05 11:29:57,175 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.339) Loss: 4.0446 (4.4391) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 ( 6.0000)Acc@5: 35.0000 (30.8000) + +2023-08-05 11:30:03,199 - train: [ INFO] - Train: 62 [ 0/41 ( 0%)] Loss: 1.423538 (1.4235) Acc@1: 70.8333 (70.8333) Acc@5: 96.6667 (96.6667) Time: 4.873s, 24.63/s (4.873s, 24.63/s) LR: 4.598e-04 P_Replacement: 0.029790999999999998 + +2023-08-05 11:30:28,686 - train: [ INFO] - Train: 62 [ 40/41 (100%)] Loss: 1.595174 (1.4725) Acc@1: 63.3333 (68.7398) Acc@5: 90.8333 (95.3455) Time: 0.639s, 187.84/s (0.740s, 162.06/s) LR: 4.598e-04 P_Replacement: 0.03121958722305248 + +2023-08-05 11:30:32,471 - train: [ INFO] - Test: [ 0/16] Time: 2.546 (2.546) Loss: 5.8544 (5.8544) cLoss: 0.0000 (0.0000) Acc@1: 2.5000 ( 2.5000)Acc@5: 27.5000 (27.5000) + +2023-08-05 11:30:35,670 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.338) Loss: 5.8047 (5.6477) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.9000)Acc@5: 26.2500 (29.5500) + +2023-08-05 11:30:41,791 - train: [ INFO] - Train: 63 [ 0/41 ( 0%)] Loss: 1.364646 (1.3646) Acc@1: 78.3333 (78.3333) Acc@5: 97.5000 (97.5000) Time: 4.820s, 24.89/s (4.820s, 24.89/s) LR: 4.561e-04 P_Replacement: 0.031255875 + +2023-08-05 11:31:07,231 - train: [ INFO] - Train: 63 [ 40/41 (100%)] Loss: 1.592364 (1.4907) Acc@1: 65.0000 (67.7236) Acc@5: 94.1667 (95.0203) Time: 0.642s, 186.97/s (0.738s, 162.60/s) LR: 4.561e-04 P_Replacement: 0.03273055086076813 + +2023-08-05 11:31:10,911 - train: [ INFO] - Test: [ 0/16] Time: 2.528 (2.528) Loss: 4.0659 (4.0659) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 33.3333 (33.3333) + +2023-08-05 11:31:14,125 - train: [ INFO] - Test: [ 16/16] Time: 0.144 (0.338) Loss: 4.1026 (3.9541) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 7.1500)Acc@5: 41.2500 (35.5500) + +2023-08-05 11:31:20,386 - train: [ INFO] - Train: 64 [ 0/41 ( 0%)] Loss: 1.454847 (1.4548) Acc@1: 66.6667 (66.6667) Acc@5: 94.1667 (94.1667) Time: 4.854s, 24.72/s (4.854s, 24.72/s) LR: 4.523e-04 P_Replacement: 0.032768000000000005 + +2023-08-05 11:31:45,968 - train: [ INFO] - Train: 64 [ 40/41 (100%)] Loss: 1.535249 (1.4783) Acc@1: 67.5000 (69.5935) Acc@5: 90.8333 (94.9797) Time: 0.641s, 187.17/s (0.742s, 161.66/s) LR: 4.523e-04 P_Replacement: 0.03428949620580085 + +2023-08-05 11:31:49,790 - train: [ INFO] - Test: [ 0/16] Time: 2.495 (2.495) Loss: 3.8278 (3.8278) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 35.8333 (35.8333) + +2023-08-05 11:31:52,997 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.335) Loss: 4.1603 (4.2510) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 6.8000)Acc@5: 35.0000 (31.9000) + +2023-08-05 11:31:59,411 - train: [ INFO] - Train: 65 [ 0/41 ( 0%)] Loss: 1.383472 (1.3835) Acc@1: 67.5000 (67.5000) Acc@5: 95.8333 (95.8333) Time: 5.050s, 23.76/s (5.050s, 23.76/s) LR: 4.484e-04 P_Replacement: 0.034328125 + +2023-08-05 11:32:24,998 - train: [ INFO] - Train: 65 [ 40/41 (100%)] Loss: 1.457433 (1.4527) Acc@1: 65.8333 (69.5528) Acc@5: 95.0000 (95.6911) Time: 0.638s, 187.97/s (0.747s, 160.60/s) LR: 4.484e-04 P_Replacement: 0.035897173258150644 + +2023-08-05 11:32:28,582 - train: [ INFO] - Test: [ 0/16] Time: 2.483 (2.483) Loss: 4.2905 (4.2905) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 33.3333 (33.3333) + +2023-08-05 11:32:31,772 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.334) Loss: 4.0952 (4.3283) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 6.6500)Acc@5: 32.5000 (31.8000) + +2023-08-05 11:32:37,726 - train: [ INFO] - Train: 66 [ 0/41 ( 0%)] Loss: 1.157701 (1.1577) Acc@1: 77.5000 (77.5000) Acc@5: 100.0000 (100.0000) Time: 4.934s, 24.32/s (4.934s, 24.32/s) LR: 4.446e-04 P_Replacement: 0.035937000000000004 + +2023-08-05 11:33:03,290 - train: [ INFO] - Train: 66 [ 40/41 (100%)] Loss: 1.399240 (1.3745) Acc@1: 68.3333 (72.5407) Acc@5: 96.6667 (96.4431) Time: 0.645s, 186.04/s (0.744s, 161.33/s) LR: 4.446e-04 P_Replacement: 0.03755433201781751 + +2023-08-05 11:33:06,990 - train: [ INFO] - Test: [ 0/16] Time: 2.501 (2.501) Loss: 5.2421 (5.2421) cLoss: 0.0000 (0.0000) Acc@1: 2.5000 ( 2.5000)Acc@5: 33.3333 (33.3333) + +2023-08-05 11:33:10,176 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.334) Loss: 5.6197 (5.2633) cLoss: 0.0000 (0.0000) Acc@1: 2.5000 ( 6.0000)Acc@5: 22.5000 (30.8000) + +2023-08-05 11:33:16,339 - train: [ INFO] - Train: 67 [ 0/41 ( 0%)] Loss: 1.286459 (1.2865) Acc@1: 75.0000 (75.0000) Acc@5: 95.8333 (95.8333) Time: 4.976s, 24.12/s (4.976s, 24.12/s) LR: 4.406e-04 P_Replacement: 0.03759537500000001 + +2023-08-05 11:33:41,815 - train: [ INFO] - Train: 67 [ 40/41 (100%)] Loss: 1.741616 (1.3553) Acc@1: 63.3333 (74.3089) Acc@5: 93.3333 (97.0732) Time: 0.643s, 186.49/s (0.743s, 161.58/s) LR: 4.406e-04 P_Replacement: 0.03926172248480145 + +2023-08-05 11:33:45,187 - train: [ INFO] - Test: [ 0/16] Time: 2.553 (2.553) Loss: 5.4695 (5.4695) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 35.8333 (35.8333) + +2023-08-05 11:33:48,364 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.337) Loss: 5.5145 (5.7334) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 ( 6.0000)Acc@5: 32.5000 (29.7500) + +2023-08-05 11:33:54,511 - train: [ INFO] - Train: 68 [ 0/41 ( 0%)] Loss: 1.168052 (1.1681) Acc@1: 77.5000 (77.5000) Acc@5: 96.6667 (96.6667) Time: 4.880s, 24.59/s (4.880s, 24.59/s) LR: 4.367e-04 P_Replacement: 0.039304000000000006 + +2023-08-05 11:34:20,069 - train: [ INFO] - Train: 68 [ 40/41 (100%)] Loss: 1.716146 (1.3448) Acc@1: 68.3333 (75.1220) Acc@5: 93.3333 (96.6260) Time: 0.636s, 188.69/s (0.742s, 161.65/s) LR: 4.367e-04 P_Replacement: 0.04102009465910244 + +2023-08-05 11:34:23,820 - train: [ INFO] - Test: [ 0/16] Time: 2.521 (2.521) Loss: 6.3709 (6.3709) cLoss: 0.0000 (0.0000) Acc@1: 4.1667 ( 4.1667)Acc@5: 34.1667 (34.1667) + +2023-08-05 11:34:27,028 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.337) Loss: 6.1498 (6.2687) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 6.0000)Acc@5: 33.7500 (29.6500) + +2023-08-05 11:34:32,927 - train: [ INFO] - Train: 69 [ 0/41 ( 0%)] Loss: 1.125163 (1.1252) Acc@1: 81.6667 (81.6667) Acc@5: 98.3333 (98.3333) Time: 4.864s, 24.67/s (4.864s, 24.67/s) LR: 4.327e-04 P_Replacement: 0.04106362499999999 + +2023-08-05 11:34:58,433 - train: [ INFO] - Train: 69 [ 40/41 (100%)] Loss: 1.629023 (1.3245) Acc@1: 65.8333 (76.1992) Acc@5: 94.1667 (97.4390) Time: 0.631s, 190.07/s (0.741s, 162.01/s) LR: 4.327e-04 P_Replacement: 0.042830198540720524 + +2023-08-05 11:35:02,083 - train: [ INFO] - Test: [ 0/16] Time: 2.475 (2.475) Loss: 4.7688 (4.7688) cLoss: 0.0000 (0.0000) Acc@1: 5.8333 ( 5.8333)Acc@5: 29.1667 (29.1667) + +2023-08-05 11:35:05,273 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.333) Loss: 4.6766 (4.6335) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 6.6000)Acc@5: 38.7500 (34.8000) + +2023-08-05 11:35:11,282 - train: [ INFO] - Train: 70 [ 0/41 ( 0%)] Loss: 1.216460 (1.2165) Acc@1: 81.6667 (81.6667) Acc@5: 98.3333 (98.3333) Time: 5.003s, 23.99/s (5.003s, 23.99/s) LR: 4.287e-04 P_Replacement: 0.04287499999999999 + +2023-08-05 11:35:36,791 - train: [ INFO] - Train: 70 [ 40/41 (100%)] Loss: 1.222578 (1.2503) Acc@1: 78.3333 (77.4594) Acc@5: 96.6667 (98.0488) Time: 0.636s, 188.76/s (0.744s, 161.26/s) LR: 4.287e-04 P_Replacement: 0.04469278412965569 + +2023-08-05 11:35:40,576 - train: [ INFO] - Test: [ 0/16] Time: 2.510 (2.510) Loss: 5.4289 (5.4289) cLoss: 0.0000 (0.0000) Acc@1: 5.8333 ( 5.8333)Acc@5: 24.1667 (24.1667) + +2023-08-05 11:35:43,765 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.335) Loss: 4.8239 (5.1095) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 ( 7.4000)Acc@5: 33.7500 (31.9000) + +2023-08-05 11:35:49,973 - train: [ INFO] - Train: 71 [ 0/41 ( 0%)] Loss: 1.189303 (1.1893) Acc@1: 76.6667 (76.6667) Acc@5: 99.1667 (99.1667) Time: 4.873s, 24.63/s (4.873s, 24.63/s) LR: 4.247e-04 P_Replacement: 0.04473887499999999 + +2023-08-05 11:36:15,456 - train: [ INFO] - Train: 71 [ 40/41 (100%)] Loss: 1.150641 (1.2628) Acc@1: 76.6667 (78.2724) Acc@5: 99.1667 (97.8659) Time: 0.642s, 186.78/s (0.740s, 162.09/s) LR: 4.247e-04 P_Replacement: 0.04660860142590792 + +2023-08-05 11:36:19,152 - train: [ INFO] - Test: [ 0/16] Time: 2.511 (2.511) Loss: 4.3471 (4.3471) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 28.3333 (28.3333) + +2023-08-05 11:36:22,324 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.334) Loss: 4.5086 (4.3909) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 6.2500)Acc@5: 27.5000 (32.2000) + +2023-08-05 11:36:28,457 - train: [ INFO] - Train: 72 [ 0/41 ( 0%)] Loss: 1.167264 (1.1673) Acc@1: 81.6667 (81.6667) Acc@5: 97.5000 (97.5000) Time: 4.930s, 24.34/s (4.930s, 24.34/s) LR: 4.206e-04 P_Replacement: 0.046655999999999996 + +2023-08-05 11:36:53,945 - train: [ INFO] - Train: 72 [ 40/41 (100%)] Loss: 1.139437 (1.2101) Acc@1: 74.1667 (80.0407) Acc@5: 98.3333 (98.5569) Time: 0.635s, 189.02/s (0.742s, 161.75/s) LR: 4.206e-04 P_Replacement: 0.048578400429477225 + +2023-08-05 11:36:57,675 - train: [ INFO] - Test: [ 0/16] Time: 2.493 (2.493) Loss: 4.4147 (4.4147) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 31.6667 (31.6667) + +2023-08-05 11:37:00,846 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.333) Loss: 4.8478 (4.5473) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 7.0500)Acc@5: 35.0000 (33.2500) + +2023-08-05 11:37:07,025 - train: [ INFO] - Train: 73 [ 0/41 ( 0%)] Loss: 1.223095 (1.2231) Acc@1: 83.3333 (83.3333) Acc@5: 97.5000 (97.5000) Time: 4.864s, 24.67/s (4.864s, 24.67/s) LR: 4.165e-04 P_Replacement: 0.04862712499999999 + +2023-08-05 11:37:32,526 - train: [ INFO] - Train: 73 [ 40/41 (100%)] Loss: 1.168552 (1.2025) Acc@1: 80.8333 (81.1585) Acc@5: 98.3333 (98.3740) Time: 0.635s, 188.95/s (0.741s, 162.04/s) LR: 4.165e-04 P_Replacement: 0.0506029311403636 + +2023-08-05 11:37:36,297 - train: [ INFO] - Test: [ 0/16] Time: 2.578 (2.578) Loss: 4.4807 (4.4807) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 39.1667 (39.1667) + +2023-08-05 11:37:39,439 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.336) Loss: 4.8451 (4.4957) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 ( 6.8500)Acc@5: 26.2500 (33.4500) + +2023-08-05 11:37:45,557 - train: [ INFO] - Train: 74 [ 0/41 ( 0%)] Loss: 1.116582 (1.1166) Acc@1: 81.6667 (81.6667) Acc@5: 99.1667 (99.1667) Time: 4.840s, 24.79/s (4.840s, 24.79/s) LR: 4.123e-04 P_Replacement: 0.050653 + +2023-08-05 11:38:11,094 - train: [ INFO] - Train: 74 [ 40/41 (100%)] Loss: 1.074171 (1.1686) Acc@1: 82.5000 (81.8496) Acc@5: 99.1667 (98.2724) Time: 0.633s, 189.56/s (0.741s, 161.97/s) LR: 4.123e-04 P_Replacement: 0.05268294355856706 + +2023-08-05 11:38:14,535 - train: [ INFO] - Test: [ 0/16] Time: 2.526 (2.526) Loss: 5.7664 (5.7664) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 35.8333 (35.8333) + +2023-08-05 11:38:17,726 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.336) Loss: 6.2635 (5.6510) cLoss: 0.0000 (0.0000) Acc@1: 2.5000 ( 6.2000)Acc@5: 20.0000 (30.6500) + +2023-08-05 11:38:23,800 - train: [ INFO] - Train: 75 [ 0/41 ( 0%)] Loss: 1.212253 (1.2123) Acc@1: 86.6667 (86.6667) Acc@5: 97.5000 (97.5000) Time: 4.903s, 24.47/s (4.903s, 24.47/s) LR: 4.082e-04 P_Replacement: 0.052734375 + +2023-08-05 11:38:49,312 - train: [ INFO] - Train: 75 [ 40/41 (100%)] Loss: 1.100099 (1.1447) Acc@1: 84.1667 (83.9837) Acc@5: 100.0000 (98.8211) Time: 0.634s, 189.39/s (0.742s, 161.77/s) LR: 4.082e-04 P_Replacement: 0.054819187684087584 + +2023-08-05 11:38:53,059 - train: [ INFO] - Test: [ 0/16] Time: 2.496 (2.496) Loss: 5.1203 (5.1203) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 35.8333 (35.8333) + +2023-08-05 11:38:56,221 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.333) Loss: 5.7832 (5.3679) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 7.2500)Acc@5: 23.7500 (31.5000) + +2023-08-05 11:39:02,398 - train: [ INFO] - Train: 76 [ 0/41 ( 0%)] Loss: 1.399885 (1.3999) Acc@1: 80.8333 (80.8333) Acc@5: 100.0000 (100.0000) Time: 4.822s, 24.88/s (4.822s, 24.88/s) LR: 4.040e-04 P_Replacement: 0.054872000000000004 + +2023-08-05 11:39:27,950 - train: [ INFO] - Train: 76 [ 40/41 (100%)] Loss: 1.117279 (1.1461) Acc@1: 90.0000 (85.0000) Acc@5: 98.3333 (98.8821) Time: 0.639s, 187.83/s (0.741s, 161.98/s) LR: 4.040e-04 P_Replacement: 0.05701241351692518 + +2023-08-05 11:39:31,604 - train: [ INFO] - Test: [ 0/16] Time: 2.495 (2.495) Loss: 4.4410 (4.4410) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 35.8333 (35.8333) + +2023-08-05 11:39:34,801 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.335) Loss: 4.1179 (4.2573) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 8.3000)Acc@5: 41.2500 (35.0000) + +2023-08-05 11:39:40,901 - train: [ INFO] - Train: 77 [ 0/41 ( 0%)] Loss: 0.948457 (0.9485) Acc@1: 92.5000 (92.5000) Acc@5: 99.1667 (99.1667) Time: 4.861s, 24.69/s (4.861s, 24.69/s) LR: 3.998e-04 P_Replacement: 0.057066625 + +2023-08-05 11:40:06,392 - train: [ INFO] - Train: 77 [ 40/41 (100%)] Loss: 1.310985 (1.0903) Acc@1: 84.1667 (85.8537) Acc@5: 99.1667 (99.3496) Time: 0.637s, 188.43/s (0.740s, 162.11/s) LR: 3.998e-04 P_Replacement: 0.05926337105707985 + +2023-08-05 11:40:10,093 - train: [ INFO] - Test: [ 0/16] Time: 2.549 (2.549) Loss: 4.2557 (4.2557) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 33.3333 (33.3333) + +2023-08-05 11:40:13,279 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.337) Loss: 3.8392 (4.2986) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 ( 7.7500)Acc@5: 42.5000 (34.5500) + +2023-08-05 11:40:19,425 - train: [ INFO] - Train: 78 [ 0/41 ( 0%)] Loss: 1.187897 (1.1879) Acc@1: 83.3333 (83.3333) Acc@5: 100.0000 (100.0000) Time: 4.790s, 25.05/s (4.790s, 25.05/s) LR: 3.955e-04 P_Replacement: 0.059319000000000004 + +2023-08-05 11:40:44,925 - train: [ INFO] - Train: 78 [ 40/41 (100%)] Loss: 1.036804 (1.0652) Acc@1: 84.1667 (86.0976) Acc@5: 100.0000 (99.0650) Time: 0.644s, 186.42/s (0.739s, 162.44/s) LR: 3.955e-04 P_Replacement: 0.0615728103045516 + +2023-08-05 11:40:48,673 - train: [ INFO] - Test: [ 0/16] Time: 2.520 (2.520) Loss: 4.1149 (4.1149) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 39.1667 (39.1667) + +2023-08-05 11:40:51,858 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.336) Loss: 4.2604 (4.5270) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 ( 8.5000)Acc@5: 42.5000 (35.0000) + +2023-08-05 11:40:57,872 - train: [ INFO] - Train: 79 [ 0/41 ( 0%)] Loss: 1.107653 (1.1077) Acc@1: 87.5000 (87.5000) Acc@5: 97.5000 (97.5000) Time: 4.843s, 24.78/s (4.843s, 24.78/s) LR: 3.912e-04 P_Replacement: 0.06162987500000001 + +2023-08-05 11:41:23,371 - train: [ INFO] - Train: 79 [ 40/41 (100%)] Loss: 1.271756 (1.0632) Acc@1: 84.1667 (87.1748) Acc@5: 99.1667 (99.3089) Time: 0.635s, 188.95/s (0.740s, 162.16/s) LR: 3.912e-04 P_Replacement: 0.06394148125934042 + +2023-08-05 11:41:27,039 - train: [ INFO] - Test: [ 0/16] Time: 2.501 (2.501) Loss: 4.3984 (4.3984) cLoss: 0.0000 (0.0000) Acc@1: 3.3333 ( 3.3333)Acc@5: 35.8333 (35.8333) + +2023-08-05 11:41:30,221 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.334) Loss: 4.4229 (4.3702) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.2500)Acc@5: 28.7500 (34.5000) + +2023-08-05 11:41:36,325 - train: [ INFO] - Train: 80 [ 0/41 ( 0%)] Loss: 1.054830 (1.0548) Acc@1: 88.3333 (88.3333) Acc@5: 100.0000 (100.0000) Time: 4.908s, 24.45/s (4.908s, 24.45/s) LR: 3.870e-04 P_Replacement: 0.06400000000000002 + +2023-08-05 11:42:01,859 - train: [ INFO] - Train: 80 [ 40/41 (100%)] Loss: 0.997400 (1.0467) Acc@1: 88.3333 (87.9675) Acc@5: 99.1667 (99.2480) Time: 0.656s, 182.87/s (0.742s, 161.63/s) LR: 3.870e-04 P_Replacement: 0.0663701339214463 + +2023-08-05 11:42:05,631 - train: [ INFO] - Test: [ 0/16] Time: 2.496 (2.496) Loss: 5.3305 (5.3305) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 34.1667 (34.1667) + +2023-08-05 11:42:08,837 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.335) Loss: 5.9476 (5.3165) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.0000)Acc@5: 22.5000 (31.9000) + +2023-08-05 11:42:15,110 - train: [ INFO] - Train: 81 [ 0/41 ( 0%)] Loss: 1.142814 (1.1428) Acc@1: 84.1667 (84.1667) Acc@5: 98.3333 (98.3333) Time: 4.894s, 24.52/s (4.894s, 24.52/s) LR: 3.826e-04 P_Replacement: 0.066430125 + +2023-08-05 11:42:40,733 - train: [ INFO] - Train: 81 [ 40/41 (100%)] Loss: 1.206205 (1.0268) Acc@1: 87.5000 (88.8821) Acc@5: 100.0000 (99.4512) Time: 0.647s, 185.37/s (0.744s, 161.24/s) LR: 3.826e-04 P_Replacement: 0.06885951829086924 + +2023-08-05 11:42:44,582 - train: [ INFO] - Test: [ 0/16] Time: 2.569 (2.569) Loss: 5.5653 (5.5653) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 30.0000 (30.0000) + +2023-08-05 11:42:47,765 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.338) Loss: 5.3198 (5.2614) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 ( 6.9500)Acc@5: 31.2500 (34.0000) + +2023-08-05 11:42:54,055 - train: [ INFO] - Train: 82 [ 0/41 ( 0%)] Loss: 0.993771 (0.9938) Acc@1: 85.8333 (85.8333) Acc@5: 100.0000 (100.0000) Time: 4.903s, 24.48/s (4.903s, 24.48/s) LR: 3.783e-04 P_Replacement: 0.06892099999999998 + +2023-08-05 11:43:19,731 - train: [ INFO] - Train: 82 [ 40/41 (100%)] Loss: 1.069856 (0.9859) Acc@1: 87.5000 (89.7358) Acc@5: 100.0000 (99.6545) Time: 0.644s, 186.43/s (0.746s, 160.91/s) LR: 3.783e-04 P_Replacement: 0.07141038436760928 + +2023-08-05 11:43:23,489 - train: [ INFO] - Test: [ 0/16] Time: 2.524 (2.524) Loss: 5.2612 (5.2612) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 35.8333 (35.8333) + +2023-08-05 11:43:26,670 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.336) Loss: 5.1942 (5.4746) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 ( 6.5500)Acc@5: 31.2500 (30.5500) + +2023-08-05 11:43:32,451 - train: [ INFO] - Train: 83 [ 0/41 ( 0%)] Loss: 0.996404 (0.9964) Acc@1: 94.1667 (94.1667) Acc@5: 100.0000 (100.0000) Time: 4.848s, 24.75/s (4.848s, 24.75/s) LR: 3.740e-04 P_Replacement: 0.07147337499999999 + +2023-08-05 11:43:58,083 - train: [ INFO] - Train: 83 [ 40/41 (100%)] Loss: 0.869979 (0.9643) Acc@1: 90.0000 (90.9959) Acc@5: 99.1667 (99.5732) Time: 0.640s, 187.42/s (0.743s, 161.43/s) LR: 3.740e-04 P_Replacement: 0.07402348215166639 + +2023-08-05 11:44:01,739 - train: [ INFO] - Test: [ 0/16] Time: 2.482 (2.482) Loss: 6.9025 (6.9025) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 26.6667 (26.6667) + +2023-08-05 11:44:04,928 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.334) Loss: 6.5679 (6.3969) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 6.7500)Acc@5: 26.2500 (29.8500) + +2023-08-05 11:44:11,204 - train: [ INFO] - Train: 84 [ 0/41 ( 0%)] Loss: 0.803636 (0.8036) Acc@1: 91.6667 (91.6667) Acc@5: 100.0000 (100.0000) Time: 4.899s, 24.49/s (4.899s, 24.49/s) LR: 3.696e-04 P_Replacement: 0.07408799999999999 + +2023-08-05 11:44:36,784 - train: [ INFO] - Train: 84 [ 40/41 (100%)] Loss: 1.097153 (0.9782) Acc@1: 85.8333 (91.3618) Acc@5: 100.0000 (99.6951) Time: 0.641s, 187.21/s (0.743s, 161.44/s) LR: 3.696e-04 P_Replacement: 0.07669956164304058 + +2023-08-05 11:44:40,332 - train: [ INFO] - Test: [ 0/16] Time: 2.577 (2.577) Loss: 5.8513 (5.8513) cLoss: 0.0000 (0.0000) Acc@1: 5.8333 ( 5.8333)Acc@5: 35.8333 (35.8333) + +2023-08-05 11:44:43,544 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.341) Loss: 6.8419 (6.5176) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 6.3000)Acc@5: 23.7500 (31.3500) + +2023-08-05 11:44:49,790 - train: [ INFO] - Train: 85 [ 0/41 ( 0%)] Loss: 0.923973 (0.9240) Acc@1: 91.6667 (91.6667) Acc@5: 100.0000 (100.0000) Time: 4.835s, 24.82/s (4.835s, 24.82/s) LR: 3.652e-04 P_Replacement: 0.07676562499999999 + +2023-08-05 11:45:15,475 - train: [ INFO] - Train: 85 [ 40/41 (100%)] Loss: 0.937952 (0.9532) Acc@1: 91.6667 (91.5244) Acc@5: 99.1667 (99.7764) Time: 0.650s, 184.55/s (0.744s, 161.22/s) LR: 3.652e-04 P_Replacement: 0.07943937284173183 + +2023-08-05 11:45:19,412 - train: [ INFO] - Test: [ 0/16] Time: 2.888 (2.888) Loss: 4.3173 (4.3173) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 39.1667 (39.1667) + +2023-08-05 11:45:22,611 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.358) Loss: 4.6582 (4.3328) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 ( 8.9500)Acc@5: 33.7500 (34.7500) + +2023-08-05 11:45:28,852 - train: [ INFO] - Train: 86 [ 0/41 ( 0%)] Loss: 0.847495 (0.8475) Acc@1: 93.3333 (93.3333) Acc@5: 100.0000 (100.0000) Time: 4.880s, 24.59/s (4.880s, 24.59/s) LR: 3.608e-04 P_Replacement: 0.079507 + +2023-08-05 11:45:54,548 - train: [ INFO] - Train: 86 [ 40/41 (100%)] Loss: 1.189412 (0.9005) Acc@1: 92.5000 (93.4959) Acc@5: 100.0000 (99.7764) Time: 0.641s, 187.27/s (0.746s, 160.93/s) LR: 3.608e-04 P_Replacement: 0.08224366574774017 + +2023-08-05 11:45:58,020 - train: [ INFO] - Test: [ 0/16] Time: 2.584 (2.584) Loss: 3.3471 (3.3471) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 47.5000 (47.5000) + +2023-08-05 11:46:01,206 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.339) Loss: 3.9167 (3.7929) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (12.3500)Acc@5: 37.5000 (40.5500) + +2023-08-05 11:46:07,556 - train: [ INFO] - Train: 87 [ 0/41 ( 0%)] Loss: 0.864397 (0.8644) Acc@1: 92.5000 (92.5000) Acc@5: 99.1667 (99.1667) Time: 4.979s, 24.10/s (4.979s, 24.10/s) LR: 3.564e-04 P_Replacement: 0.082312875 + +2023-08-05 11:46:33,156 - train: [ INFO] - Train: 87 [ 40/41 (100%)] Loss: 1.055609 (0.8934) Acc@1: 91.6667 (94.0447) Acc@5: 99.1667 (99.7561) Time: 0.638s, 187.98/s (0.746s, 160.91/s) LR: 3.564e-04 P_Replacement: 0.08511319036106557 + +2023-08-05 11:46:37,024 - train: [ INFO] - Test: [ 0/16] Time: 2.545 (2.545) Loss: 5.3405 (5.3405) cLoss: 0.0000 (0.0000) Acc@1: 3.3333 ( 3.3333)Acc@5: 31.6667 (31.6667) + +2023-08-05 11:46:40,221 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.338) Loss: 4.8909 (5.1484) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 7.6500)Acc@5: 33.7500 (35.1000) + +2023-08-05 11:46:46,272 - train: [ INFO] - Train: 88 [ 0/41 ( 0%)] Loss: 0.901874 (0.9019) Acc@1: 94.1667 (94.1667) Acc@5: 100.0000 (100.0000) Time: 4.907s, 24.45/s (4.907s, 24.45/s) LR: 3.519e-04 P_Replacement: 0.085184 + +2023-08-05 11:47:11,909 - train: [ INFO] - Train: 88 [ 40/41 (100%)] Loss: 0.939836 (0.9026) Acc@1: 91.6667 (94.1870) Acc@5: 100.0000 (99.9187) Time: 0.635s, 188.98/s (0.745s, 161.09/s) LR: 3.519e-04 P_Replacement: 0.08804869668170805 + +2023-08-05 11:47:15,619 - train: [ INFO] - Test: [ 0/16] Time: 2.500 (2.500) Loss: 5.8320 (5.8320) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 32.5000 (32.5000) + +2023-08-05 11:47:18,815 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.335) Loss: 5.6435 (5.7695) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 6.2500)Acc@5: 35.0000 (29.9500) + +2023-08-05 11:47:25,067 - train: [ INFO] - Train: 89 [ 0/41 ( 0%)] Loss: 0.735481 (0.7355) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 4.946s, 24.26/s (4.946s, 24.26/s) LR: 3.475e-04 P_Replacement: 0.08812112500000001 + +2023-08-05 11:47:50,587 - train: [ INFO] - Train: 89 [ 40/41 (100%)] Loss: 1.145464 (0.8936) Acc@1: 88.3333 (94.4309) Acc@5: 99.1667 (99.8984) Time: 0.634s, 189.15/s (0.743s, 161.50/s) LR: 3.475e-04 P_Replacement: 0.0910509347096676 + +2023-08-05 11:47:54,186 - train: [ INFO] - Test: [ 0/16] Time: 2.476 (2.476) Loss: 3.8323 (3.8323) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 40.8333 (40.8333) + +2023-08-05 11:47:57,379 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.333) Loss: 4.3103 (4.1318) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.7500)Acc@5: 40.0000 (40.3000) + +2023-08-05 11:48:03,551 - train: [ INFO] - Train: 90 [ 0/41 ( 0%)] Loss: 0.929314 (0.9293) Acc@1: 93.3333 (93.3333) Acc@5: 100.0000 (100.0000) Time: 4.949s, 24.25/s (4.949s, 24.25/s) LR: 3.430e-04 P_Replacement: 0.09112500000000001 + +2023-08-05 11:48:29,202 - train: [ INFO] - Train: 90 [ 40/41 (100%)] Loss: 1.042559 (0.9098) Acc@1: 94.1667 (94.2276) Acc@5: 100.0000 (99.7968) Time: 0.640s, 187.42/s (0.746s, 160.79/s) LR: 3.430e-04 P_Replacement: 0.09412065444494422 + +2023-08-05 11:48:32,685 - train: [ INFO] - Test: [ 0/16] Time: 2.520 (2.520) Loss: 4.3913 (4.3913) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 30.8333 (30.8333) + +2023-08-05 11:48:35,897 - train: [ INFO] - Test: [ 16/16] Time: 0.145 (0.337) Loss: 4.1061 (4.3638) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 ( 9.1000)Acc@5: 46.2500 (38.6000) + +2023-08-05 11:48:42,061 - train: [ INFO] - Train: 91 [ 0/41 ( 0%)] Loss: 0.979671 (0.9797) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 4.834s, 24.82/s (4.834s, 24.82/s) LR: 3.385e-04 P_Replacement: 0.09419637500000001 + +2023-08-05 11:49:07,538 - train: [ INFO] - Train: 91 [ 40/41 (100%)] Loss: 0.911727 (0.8650) Acc@1: 95.8333 (95.0203) Acc@5: 100.0000 (99.8781) Time: 0.637s, 188.25/s (0.739s, 162.32/s) LR: 3.385e-04 P_Replacement: 0.09725860588753792 + +2023-08-05 11:49:11,212 - train: [ INFO] - Test: [ 0/16] Time: 2.550 (2.550) Loss: 5.7771 (5.7771) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 32.5000 (32.5000) + +2023-08-05 11:49:14,407 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.338) Loss: 5.3562 (5.6423) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 8.1000)Acc@5: 37.5000 (31.6000) + +2023-08-05 11:49:20,503 - train: [ INFO] - Train: 92 [ 0/41 ( 0%)] Loss: 0.882734 (0.8827) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 4.828s, 24.85/s (4.828s, 24.85/s) LR: 3.341e-04 P_Replacement: 0.097336 + +2023-08-05 11:49:46,037 - train: [ INFO] - Train: 92 [ 40/41 (100%)] Loss: 0.682665 (0.8187) Acc@1: 95.8333 (95.7927) Acc@5: 100.0000 (99.9187) Time: 0.633s, 189.55/s (0.741s, 162.05/s) LR: 3.341e-04 P_Replacement: 0.10046553903744869 + +2023-08-05 11:49:49,767 - train: [ INFO] - Test: [ 0/16] Time: 2.483 (2.483) Loss: 5.1657 (5.1657) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 33.3333 (33.3333) + +2023-08-05 11:49:52,944 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.333) Loss: 5.0388 (5.1810) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 ( 8.4000)Acc@5: 37.5000 (31.8500) + +2023-08-05 11:49:59,178 - train: [ INFO] - Train: 93 [ 0/41 ( 0%)] Loss: 0.778953 (0.7790) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 4.944s, 24.27/s (4.944s, 24.27/s) LR: 3.296e-04 P_Replacement: 0.10054462500000001 + +2023-08-05 11:50:24,705 - train: [ INFO] - Train: 93 [ 40/41 (100%)] Loss: 0.787407 (0.8156) Acc@1: 91.6667 (95.7927) Acc@5: 100.0000 (99.8577) Time: 0.640s, 187.54/s (0.743s, 161.47/s) LR: 3.296e-04 P_Replacement: 0.10374220389467649 + +2023-08-05 11:50:28,232 - train: [ INFO] - Test: [ 0/16] Time: 2.519 (2.519) Loss: 4.8423 (4.8423) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 32.5000 (32.5000) + +2023-08-05 11:50:31,437 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.337) Loss: 5.3501 (5.1368) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 ( 8.0000)Acc@5: 35.0000 (31.2500) + +2023-08-05 11:50:37,747 - train: [ INFO] - Train: 94 [ 0/41 ( 0%)] Loss: 0.778789 (0.7788) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 4.966s, 24.16/s (4.966s, 24.16/s) LR: 3.251e-04 P_Replacement: 0.10382299999999998 + +2023-08-05 11:51:03,338 - train: [ INFO] - Train: 94 [ 40/41 (100%)] Loss: 0.912264 (0.8271) Acc@1: 98.3333 (96.3415) Acc@5: 100.0000 (99.9390) Time: 0.638s, 188.21/s (0.745s, 161.02/s) LR: 3.251e-04 P_Replacement: 0.10708935045922141 + +2023-08-05 11:51:07,098 - train: [ INFO] - Test: [ 0/16] Time: 2.473 (2.473) Loss: 4.9289 (4.9289) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 27.5000 (27.5000) + +2023-08-05 11:51:10,285 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.333) Loss: 4.8247 (4.8140) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.2000)Acc@5: 38.7500 (37.5000) + +2023-08-05 11:51:16,428 - train: [ INFO] - Train: 95 [ 0/41 ( 0%)] Loss: 0.870376 (0.8704) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 4.862s, 24.68/s (4.862s, 24.68/s) LR: 3.206e-04 P_Replacement: 0.10717187499999999 + +2023-08-05 11:51:42,020 - train: [ INFO] - Train: 95 [ 40/41 (100%)] Loss: 0.730870 (0.8221) Acc@1: 98.3333 (96.9715) Acc@5: 100.0000 (99.9390) Time: 0.651s, 184.24/s (0.743s, 161.57/s) LR: 3.206e-04 P_Replacement: 0.1105077287310834 + +2023-08-05 11:51:45,700 - train: [ INFO] - Test: [ 0/16] Time: 2.541 (2.541) Loss: 5.0406 (5.0406) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 33.3333 (33.3333) + +2023-08-05 11:51:48,888 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.337) Loss: 5.8156 (5.2273) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 ( 7.7500)Acc@5: 30.0000 (35.0000) + +2023-08-05 11:51:54,918 - train: [ INFO] - Train: 96 [ 0/41 ( 0%)] Loss: 0.762375 (0.7624) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 4.971s, 24.14/s (4.971s, 24.14/s) LR: 3.161e-04 P_Replacement: 0.11059199999999998 + +2023-08-05 11:52:20,466 - train: [ INFO] - Train: 96 [ 40/41 (100%)] Loss: 0.774665 (0.8192) Acc@1: 100.0000 (97.0935) Acc@5: 100.0000 (99.9390) Time: 0.653s, 183.80/s (0.744s, 161.22/s) LR: 3.161e-04 P_Replacement: 0.11399808871026247 + +2023-08-05 11:52:24,258 - train: [ INFO] - Test: [ 0/16] Time: 2.521 (2.521) Loss: 4.3813 (4.3813) cLoss: 0.0000 (0.0000) Acc@1: 3.3333 ( 3.3333)Acc@5: 37.5000 (37.5000) + +2023-08-05 11:52:27,445 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.336) Loss: 4.7858 (4.6116) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 ( 7.8500)Acc@5: 27.5000 (34.2000) + +2023-08-05 11:52:33,544 - train: [ INFO] - Train: 97 [ 0/41 ( 0%)] Loss: 0.767839 (0.7678) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.922s, 24.38/s (4.922s, 24.38/s) LR: 3.115e-04 P_Replacement: 0.114084125 + +2023-08-05 11:52:59,054 - train: [ INFO] - Train: 97 [ 40/41 (100%)] Loss: 0.781860 (0.8203) Acc@1: 95.8333 (97.5203) Acc@5: 100.0000 (99.9797) Time: 0.635s, 188.90/s (0.742s, 161.68/s) LR: 3.115e-04 P_Replacement: 0.1175611803967586 + +2023-08-05 11:53:02,680 - train: [ INFO] - Test: [ 0/16] Time: 2.502 (2.502) Loss: 4.8136 (4.8136) cLoss: 0.0000 (0.0000) Acc@1: 4.1667 ( 4.1667)Acc@5: 35.0000 (35.0000) + +2023-08-05 11:53:05,863 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.334) Loss: 4.5130 (4.6073) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 8.7500)Acc@5: 50.0000 (36.8500) + +2023-08-05 11:53:11,761 - train: [ INFO] - Train: 98 [ 0/41 ( 0%)] Loss: 0.739111 (0.7391) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.820s, 24.90/s (4.820s, 24.90/s) LR: 3.070e-04 P_Replacement: 0.11764899999999999 + +2023-08-05 11:53:37,303 - train: [ INFO] - Train: 98 [ 40/41 (100%)] Loss: 0.925463 (0.8273) Acc@1: 99.1667 (97.5407) Acc@5: 100.0000 (99.9797) Time: 0.636s, 188.64/s (0.740s, 162.05/s) LR: 3.070e-04 P_Replacement: 0.12119775379057181 + +2023-08-05 11:53:41,006 - train: [ INFO] - Test: [ 0/16] Time: 2.542 (2.542) Loss: 5.1206 (5.1206) cLoss: 0.0000 (0.0000) Acc@1: 5.8333 ( 5.8333)Acc@5: 30.8333 (30.8333) + +2023-08-05 11:53:44,192 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.337) Loss: 4.9785 (5.1135) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 ( 7.2500)Acc@5: 37.5000 (33.5500) + +2023-08-05 11:53:50,315 - train: [ INFO] - Train: 99 [ 0/41 ( 0%)] Loss: 0.764647 (0.7646) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 4.741s, 25.31/s (4.741s, 25.31/s) LR: 3.025e-04 P_Replacement: 0.121287375 + +2023-08-05 11:54:15,856 - train: [ INFO] - Train: 99 [ 40/41 (100%)] Loss: 0.868246 (0.8342) Acc@1: 95.8333 (97.3984) Acc@5: 100.0000 (99.9797) Time: 0.633s, 189.63/s (0.739s, 162.48/s) LR: 3.025e-04 P_Replacement: 0.12490855889170209 + +2023-08-05 11:54:19,581 - train: [ INFO] - Test: [ 0/16] Time: 2.555 (2.555) Loss: 5.0424 (5.0424) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 41.6667 (41.6667) + +2023-08-05 11:54:22,791 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.339) Loss: 5.1034 (5.5055) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 6.8500)Acc@5: 35.0000 (33.7500) + +2023-08-05 11:54:28,946 - train: [ INFO] - Train: 100 [ 0/41 ( 0%)] Loss: 0.778485 (0.7785) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.820s, 24.90/s (4.820s, 24.90/s) LR: 2.980e-04 P_Replacement: 0.125 + +2023-08-05 11:54:54,486 - train: [ INFO] - Train: 100 [ 40/41 (100%)] Loss: 1.054938 (0.8161) Acc@1: 95.8333 (97.7642) Acc@5: 100.0000 (99.9797) Time: 0.635s, 189.07/s (0.740s, 162.06/s) LR: 2.980e-04 P_Replacement: 0.12869434570014945 + +2023-08-05 11:54:58,025 - train: [ INFO] - Test: [ 0/16] Time: 2.565 (2.565) Loss: 3.9166 (3.9166) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 41.6667 (41.6667) + +2023-08-05 11:55:01,201 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.338) Loss: 4.0332 (3.9507) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (11.6500)Acc@5: 41.2500 (43.8500) + +2023-08-05 11:55:07,265 - train: [ INFO] - Train: 101 [ 0/41 ( 0%)] Loss: 0.870630 (0.8706) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.882s, 24.58/s (4.882s, 24.58/s) LR: 2.934e-04 P_Replacement: 0.12878762500000002 + +2023-08-05 11:55:32,845 - train: [ INFO] - Train: 101 [ 40/41 (100%)] Loss: 0.925427 (0.8013) Acc@1: 98.3333 (97.7846) Acc@5: 100.0000 (99.9797) Time: 0.645s, 185.99/s (0.743s, 161.52/s) LR: 2.934e-04 P_Replacement: 0.13255586421591387 + +2023-08-05 11:55:36,547 - train: [ INFO] - Test: [ 0/16] Time: 2.529 (2.529) Loss: 5.1856 (5.1856) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 32.5000 (32.5000) + +2023-08-05 11:55:39,701 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.334) Loss: 4.1690 (4.8402) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 8.9500)Acc@5: 45.0000 (37.3500) + +2023-08-05 11:55:45,855 - train: [ INFO] - Train: 102 [ 0/41 ( 0%)] Loss: 0.768254 (0.7683) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.973s, 24.13/s (4.973s, 24.13/s) LR: 2.889e-04 P_Replacement: 0.13265100000000002 + +2023-08-05 11:56:11,378 - train: [ INFO] - Train: 102 [ 40/41 (100%)] Loss: 0.800652 (0.7932) Acc@1: 100.0000 (97.9268) Acc@5: 100.0000 (99.9797) Time: 0.632s, 189.88/s (0.744s, 161.34/s) LR: 2.889e-04 P_Replacement: 0.1364938644389954 + +2023-08-05 11:56:14,918 - train: [ INFO] - Test: [ 0/16] Time: 2.508 (2.508) Loss: 4.0304 (4.0304) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 47.5000 (47.5000) + +2023-08-05 11:56:18,099 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.335) Loss: 4.1261 (4.1790) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (11.1500)Acc@5: 56.2500 (41.4500) + +2023-08-05 11:56:24,279 - train: [ INFO] - Train: 103 [ 0/41 ( 0%)] Loss: 0.864321 (0.8643) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.816s, 24.92/s (4.816s, 24.92/s) LR: 2.844e-04 P_Replacement: 0.136590875 + +2023-08-05 11:56:49,823 - train: [ INFO] - Train: 103 [ 40/41 (100%)] Loss: 0.888316 (0.7787) Acc@1: 97.5000 (98.4553) Acc@5: 99.1667 (99.9797) Time: 0.639s, 187.72/s (0.740s, 162.07/s) LR: 2.844e-04 P_Replacement: 0.14050909636939396 + +2023-08-05 11:56:53,430 - train: [ INFO] - Test: [ 0/16] Time: 2.446 (2.446) Loss: 4.5018 (4.5018) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 38.3333 (38.3333) + +2023-08-05 11:56:56,632 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.332) Loss: 3.7292 (4.2904) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (11.0000)Acc@5: 61.2500 (42.3000) + +2023-08-05 11:57:02,437 - train: [ INFO] - Train: 104 [ 0/41 ( 0%)] Loss: 0.913054 (0.9131) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 4.806s, 24.97/s (4.806s, 24.97/s) LR: 2.799e-04 P_Replacement: 0.140608 + +2023-08-05 11:57:28,028 - train: [ INFO] - Train: 104 [ 40/41 (100%)] Loss: 0.801064 (0.8207) Acc@1: 98.3333 (98.0488) Acc@5: 100.0000 (100.0000) Time: 0.658s, 182.40/s (0.741s, 161.87/s) LR: 2.799e-04 P_Replacement: 0.1446023100071096 + +2023-08-05 11:57:31,648 - train: [ INFO] - Test: [ 0/16] Time: 2.600 (2.600) Loss: 4.7929 (4.7929) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 42.5000 (42.5000) + +2023-08-05 11:57:34,845 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.341) Loss: 4.3785 (4.9009) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 ( 9.3000)Acc@5: 41.2500 (38.1500) + +2023-08-05 11:57:41,111 - train: [ INFO] - Train: 105 [ 0/41 ( 0%)] Loss: 0.933973 (0.9340) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.942s, 24.28/s (4.942s, 24.28/s) LR: 2.754e-04 P_Replacement: 0.14470312500000002 + +2023-08-05 11:58:06,677 - train: [ INFO] - Train: 105 [ 40/41 (100%)] Loss: 0.862229 (0.8088) Acc@1: 99.1667 (98.5366) Acc@5: 100.0000 (100.0000) Time: 0.647s, 185.39/s (0.744s, 161.28/s) LR: 2.754e-04 P_Replacement: 0.14877425535214234 + +2023-08-05 11:58:10,280 - train: [ INFO] - Test: [ 0/16] Time: 2.554 (2.554) Loss: 3.9686 (3.9686) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 43.3333 (43.3333) + +2023-08-05 11:58:13,477 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.338) Loss: 3.7228 (3.9087) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (12.5500)Acc@5: 45.0000 (43.4500) + +2023-08-05 11:58:19,453 - train: [ INFO] - Train: 106 [ 0/41 ( 0%)] Loss: 0.707203 (0.7072) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.835s, 24.82/s (4.835s, 24.82/s) LR: 2.709e-04 P_Replacement: 0.148877 + +2023-08-05 11:58:45,024 - train: [ INFO] - Train: 106 [ 40/41 (100%)] Loss: 0.850127 (0.8313) Acc@1: 95.8333 (98.5569) Acc@5: 100.0000 (100.0000) Time: 0.643s, 186.77/s (0.742s, 161.82/s) LR: 2.709e-04 P_Replacement: 0.15302568240449213 + +2023-08-05 11:58:48,326 - train: [ INFO] - Test: [ 0/16] Time: 2.519 (2.519) Loss: 5.0751 (5.0751) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 39.1667 (39.1667) + +2023-08-05 11:58:51,517 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.336) Loss: 4.9828 (5.0103) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 ( 7.7500)Acc@5: 36.2500 (35.5500) + +2023-08-05 11:58:57,452 - train: [ INFO] - Train: 107 [ 0/41 ( 0%)] Loss: 0.683224 (0.6832) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.835s, 24.82/s (4.835s, 24.82/s) LR: 2.664e-04 P_Replacement: 0.153130375 + +2023-08-05 11:59:23,034 - train: [ INFO] - Train: 107 [ 40/41 (100%)] Loss: 1.207439 (0.8167) Acc@1: 100.0000 (98.7602) Acc@5: 100.0000 (99.9594) Time: 0.636s, 188.81/s (0.742s, 161.75/s) LR: 2.664e-04 P_Replacement: 0.157357341164159 + +2023-08-05 11:59:26,834 - train: [ INFO] - Test: [ 0/16] Time: 2.483 (2.483) Loss: 4.0048 (4.0048) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 48.3333 (48.3333) + +2023-08-05 11:59:30,030 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.334) Loss: 4.0084 (4.1116) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (11.0500)Acc@5: 48.7500 (44.3000) + +2023-08-05 11:59:36,288 - train: [ INFO] - Train: 108 [ 0/41 ( 0%)] Loss: 0.742364 (0.7424) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.959s, 24.20/s (4.959s, 24.20/s) LR: 2.619e-04 P_Replacement: 0.15746400000000002 + +2023-08-05 12:00:01,688 - train: [ INFO] - Train: 108 [ 40/41 (100%)] Loss: 0.649928 (0.8232) Acc@1: 97.5000 (98.7602) Acc@5: 100.0000 (100.0000) Time: 0.637s, 188.42/s (0.740s, 162.07/s) LR: 2.619e-04 P_Replacement: 0.16176998163114295 + +2023-08-05 12:00:05,292 - train: [ INFO] - Test: [ 0/16] Time: 2.529 (2.529) Loss: 4.2449 (4.2449) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 41.6667 (41.6667) + +2023-08-05 12:00:08,461 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.335) Loss: 4.4096 (4.1621) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 (10.5500)Acc@5: 37.5000 (41.4500) + +2023-08-05 12:00:14,583 - train: [ INFO] - Train: 109 [ 0/41 ( 0%)] Loss: 0.600986 (0.6010) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.846s, 24.76/s (4.846s, 24.76/s) LR: 2.574e-04 P_Replacement: 0.16187862500000003 + +2023-08-05 12:00:40,161 - train: [ INFO] - Train: 109 [ 40/41 (100%)] Loss: 0.682405 (0.7984) Acc@1: 98.3333 (98.8415) Acc@5: 100.0000 (100.0000) Time: 0.637s, 188.46/s (0.742s, 161.72/s) LR: 2.574e-04 P_Replacement: 0.16626435380544397 + +2023-08-05 12:00:43,599 - train: [ INFO] - Test: [ 0/16] Time: 2.514 (2.514) Loss: 3.9014 (3.9014) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 37.5000 (37.5000) + +2023-08-05 12:00:46,804 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.336) Loss: 4.1121 (4.1762) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 ( 8.8000)Acc@5: 38.7500 (40.0500) + +2023-08-05 12:00:52,922 - train: [ INFO] - Train: 110 [ 0/41 ( 0%)] Loss: 0.818915 (0.8189) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.798s, 25.01/s (4.798s, 25.01/s) LR: 2.529e-04 P_Replacement: 0.16637500000000005 + +2023-08-05 12:01:18,486 - train: [ INFO] - Train: 110 [ 40/41 (100%)] Loss: 1.076717 (0.8560) Acc@1: 99.1667 (98.8415) Acc@5: 100.0000 (100.0000) Time: 0.651s, 184.29/s (0.740s, 162.06/s) LR: 2.529e-04 P_Replacement: 0.17084120768706204 + +2023-08-05 12:01:22,315 - train: [ INFO] - Test: [ 0/16] Time: 2.547 (2.547) Loss: 4.4677 (4.4677) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 43.3333 (43.3333) + +2023-08-05 12:01:25,489 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.337) Loss: 4.6458 (4.3708) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (11.0000)Acc@5: 37.5000 (41.9500) + +2023-08-05 12:01:31,697 - train: [ INFO] - Train: 111 [ 0/41 ( 0%)] Loss: 0.928062 (0.9281) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.844s, 24.77/s (4.844s, 24.77/s) LR: 2.485e-04 P_Replacement: 0.17095387500000003 + +2023-08-05 12:01:57,295 - train: [ INFO] - Train: 111 [ 40/41 (100%)] Loss: 0.990842 (0.8749) Acc@1: 99.1667 (98.9431) Acc@5: 100.0000 (99.9797) Time: 0.645s, 185.93/s (0.742s, 161.64/s) LR: 2.485e-04 P_Replacement: 0.1755012932759972 + +2023-08-05 12:02:00,954 - train: [ INFO] - Test: [ 0/16] Time: 2.589 (2.589) Loss: 4.3440 (4.3440) cLoss: 0.0000 (0.0000) Acc@1: 4.1667 ( 4.1667)Acc@5: 33.3333 (33.3333) + +2023-08-05 12:02:04,139 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.340) Loss: 4.1373 (4.1638) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (11.1000)Acc@5: 45.0000 (42.8500) + +2023-08-05 12:02:10,227 - train: [ INFO] - Train: 112 [ 0/41 ( 0%)] Loss: 0.833381 (0.8334) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.877s, 24.61/s (4.877s, 24.61/s) LR: 2.440e-04 P_Replacement: 0.17561600000000005 + +2023-08-05 12:02:35,871 - train: [ INFO] - Train: 112 [ 40/41 (100%)] Loss: 0.844715 (0.7744) Acc@1: 99.1667 (99.5529) Acc@5: 100.0000 (100.0000) Time: 0.636s, 188.76/s (0.744s, 161.20/s) LR: 2.440e-04 P_Replacement: 0.18024536057224932 + +2023-08-05 12:02:39,189 - train: [ INFO] - Test: [ 0/16] Time: 2.493 (2.493) Loss: 3.7374 (3.7374) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 44.1667 (44.1667) + +2023-08-05 12:02:42,376 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.334) Loss: 3.8741 (4.0092) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (11.5500)Acc@5: 46.2500 (44.4000) + +2023-08-05 12:02:48,495 - train: [ INFO] - Train: 113 [ 0/41 ( 0%)] Loss: 0.804117 (0.8041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.774s, 25.13/s (4.774s, 25.13/s) LR: 2.396e-04 P_Replacement: 0.18036212499999996 + +2023-08-05 12:03:14,066 - train: [ INFO] - Train: 113 [ 40/41 (100%)] Loss: 0.612223 (0.8274) Acc@1: 100.0000 (99.2683) Acc@5: 100.0000 (100.0000) Time: 0.637s, 188.48/s (0.740s, 162.14/s) LR: 2.396e-04 P_Replacement: 0.18507415957581863 + +2023-08-05 12:03:17,579 - train: [ INFO] - Test: [ 0/16] Time: 2.474 (2.474) Loss: 3.7989 (3.7989) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 40.8333 (40.8333) + +2023-08-05 12:03:20,772 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.333) Loss: 3.7864 (3.9016) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 (11.0500)Acc@5: 42.5000 (45.2500) + +2023-08-05 12:03:27,080 - train: [ INFO] - Train: 114 [ 0/41 ( 0%)] Loss: 0.897448 (0.8974) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.937s, 24.31/s (4.937s, 24.31/s) LR: 2.352e-04 P_Replacement: 0.18519299999999994 + +2023-08-05 12:03:52,718 - train: [ INFO] - Train: 114 [ 40/41 (100%)] Loss: 0.690898 (0.8299) Acc@1: 97.5000 (99.1667) Acc@5: 100.0000 (99.9797) Time: 0.647s, 185.44/s (0.746s, 160.93/s) LR: 2.352e-04 P_Replacement: 0.18998844028670503 + +2023-08-05 12:03:56,298 - train: [ INFO] - Test: [ 0/16] Time: 2.516 (2.516) Loss: 4.6681 (4.6681) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 40.8333 (40.8333) + +2023-08-05 12:03:59,484 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.335) Loss: 3.8733 (4.6081) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (10.6500)Acc@5: 51.2500 (42.1500) + +2023-08-05 12:04:05,621 - train: [ INFO] - Train: 115 [ 0/41 ( 0%)] Loss: 0.865112 (0.8651) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.864s, 24.67/s (4.864s, 24.67/s) LR: 2.307e-04 P_Replacement: 0.19010937499999997 + +2023-08-05 12:04:31,164 - train: [ INFO] - Train: 115 [ 40/41 (100%)] Loss: 0.734876 (0.8292) Acc@1: 98.3333 (98.9228) Acc@5: 100.0000 (100.0000) Time: 0.638s, 188.20/s (0.742s, 161.81/s) LR: 2.307e-04 P_Replacement: 0.19498895270490849 + +2023-08-05 12:04:34,877 - train: [ INFO] - Test: [ 0/16] Time: 2.513 (2.513) Loss: 4.1696 (4.1696) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 40.8333 (40.8333) + +2023-08-05 12:04:38,046 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.334) Loss: 4.1682 (4.2173) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (10.6500)Acc@5: 33.7500 (43.7000) + +2023-08-05 12:04:44,245 - train: [ INFO] - Train: 116 [ 0/41 ( 0%)] Loss: 1.058953 (1.0590) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.851s, 24.74/s (4.851s, 24.74/s) LR: 2.264e-04 P_Replacement: 0.19511199999999995 + +2023-08-05 12:05:09,838 - train: [ INFO] - Train: 116 [ 40/41 (100%)] Loss: 0.763628 (0.8461) Acc@1: 98.3333 (99.3699) Acc@5: 100.0000 (100.0000) Time: 0.641s, 187.08/s (0.742s, 161.62/s) LR: 2.264e-04 P_Replacement: 0.200076446830429 + +2023-08-05 12:05:13,503 - train: [ INFO] - Test: [ 0/16] Time: 2.478 (2.478) Loss: 4.1097 (4.1097) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 40.0000 (40.0000) + +2023-08-05 12:05:16,695 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.334) Loss: 4.0387 (3.8219) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.6500)Acc@5: 42.5000 (46.5500) + +2023-08-05 12:05:22,744 - train: [ INFO] - Train: 117 [ 0/41 ( 0%)] Loss: 0.779207 (0.7792) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.850s, 24.74/s (4.850s, 24.74/s) LR: 2.220e-04 P_Replacement: 0.20020162499999997 + +2023-08-05 12:05:48,382 - train: [ INFO] - Train: 117 [ 40/41 (100%)] Loss: 0.640152 (0.8449) Acc@1: 100.0000 (99.3089) Acc@5: 100.0000 (100.0000) Time: 0.640s, 187.60/s (0.744s, 161.38/s) LR: 2.220e-04 P_Replacement: 0.2052516726632666 + +2023-08-05 12:05:51,852 - train: [ INFO] - Test: [ 0/16] Time: 2.480 (2.480) Loss: 3.8033 (3.8033) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 49.1667 (49.1667) + +2023-08-05 12:05:55,059 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.335) Loss: 3.8231 (3.7965) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (13.3500)Acc@5: 47.5000 (45.6500) + +2023-08-05 12:06:01,138 - train: [ INFO] - Train: 118 [ 0/41 ( 0%)] Loss: 0.822592 (0.8226) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.964s, 24.17/s (4.964s, 24.17/s) LR: 2.176e-04 P_Replacement: 0.20537899999999998 + +2023-08-05 12:06:26,652 - train: [ INFO] - Train: 118 [ 40/41 (100%)] Loss: 0.899178 (0.8726) Acc@1: 98.3333 (99.2683) Acc@5: 100.0000 (100.0000) Time: 0.633s, 189.60/s (0.743s, 161.44/s) LR: 2.176e-04 P_Replacement: 0.21051538020342128 + +2023-08-05 12:06:30,085 - train: [ INFO] - Test: [ 0/16] Time: 2.495 (2.495) Loss: 4.0163 (4.0163) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 45.8333 (45.8333) + +2023-08-05 12:06:33,272 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.334) Loss: 3.4141 (3.8060) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (15.0000)Acc@5: 58.7500 (48.6500) + +2023-08-05 12:06:39,542 - train: [ INFO] - Train: 119 [ 0/41 ( 0%)] Loss: 0.767660 (0.7677) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.820s, 24.90/s (4.820s, 24.90/s) LR: 2.133e-04 P_Replacement: 0.21064487499999998 + +2023-08-05 12:07:05,142 - train: [ INFO] - Train: 119 [ 40/41 (100%)] Loss: 1.127757 (0.9258) Acc@1: 99.1667 (99.3293) Acc@5: 100.0000 (100.0000) Time: 0.632s, 190.00/s (0.742s, 161.74/s) LR: 2.133e-04 P_Replacement: 0.21586831945089302 + +2023-08-05 12:07:08,619 - train: [ INFO] - Test: [ 0/16] Time: 2.457 (2.457) Loss: 4.5742 (4.5742) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 43.3333 (43.3333) + +2023-08-05 12:07:11,825 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.333) Loss: 4.6042 (4.4503) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (11.6500)Acc@5: 41.2500 (43.8500) + +2023-08-05 12:07:17,707 - train: [ INFO] - Train: 120 [ 0/41 ( 0%)] Loss: 0.867673 (0.8677) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.850s, 24.74/s (4.850s, 24.74/s) LR: 2.090e-04 P_Replacement: 0.21599999999999997 + +2023-08-05 12:07:43,249 - train: [ INFO] - Train: 120 [ 40/41 (100%)] Loss: 0.865719 (0.9004) Acc@1: 99.1667 (99.4309) Acc@5: 100.0000 (100.0000) Time: 0.642s, 186.87/s (0.741s, 161.89/s) LR: 2.090e-04 P_Replacement: 0.22131124040568184 + +2023-08-05 12:07:46,954 - train: [ INFO] - Test: [ 0/16] Time: 2.546 (2.546) Loss: 4.2076 (4.2076) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 37.5000 (37.5000) + +2023-08-05 12:07:50,162 - train: [ INFO] - Test: [ 16/16] Time: 0.147 (0.338) Loss: 3.7222 (3.7541) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (13.4500)Acc@5: 42.5000 (46.4500) + +2023-08-05 12:07:56,139 - train: [ INFO] - Train: 121 [ 0/41 ( 0%)] Loss: 0.816816 (0.8168) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.909s, 24.44/s (4.909s, 24.44/s) LR: 2.047e-04 P_Replacement: 0.221445125 + +2023-08-05 12:08:21,639 - train: [ INFO] - Train: 121 [ 40/41 (100%)] Loss: 0.933017 (0.9113) Acc@1: 100.0000 (99.5122) Acc@5: 100.0000 (100.0000) Time: 0.634s, 189.22/s (0.742s, 161.80/s) LR: 2.047e-04 P_Replacement: 0.22684489306778774 + +2023-08-05 12:08:25,264 - train: [ INFO] - Test: [ 0/16] Time: 2.489 (2.489) Loss: 4.3996 (4.3996) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 40.8333 (40.8333) + +2023-08-05 12:08:28,476 - train: [ INFO] - Test: [ 16/16] Time: 0.144 (0.335) Loss: 4.3158 (4.1123) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (12.2000)Acc@5: 42.5000 (45.3000) + +2023-08-05 12:08:34,687 - train: [ INFO] - Train: 122 [ 0/41 ( 0%)] Loss: 0.707024 (0.7070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.865s, 24.67/s (4.865s, 24.67/s) LR: 2.004e-04 P_Replacement: 0.226981 + +2023-08-05 12:09:00,238 - train: [ INFO] - Train: 122 [ 40/41 (100%)] Loss: 1.009435 (0.8978) Acc@1: 98.3333 (99.4106) Acc@5: 100.0000 (99.9797) Time: 0.641s, 187.14/s (0.742s, 161.77/s) LR: 2.004e-04 P_Replacement: 0.2324700274372107 + +2023-08-05 12:09:04,041 - train: [ INFO] - Test: [ 0/16] Time: 2.547 (2.547) Loss: 3.9970 (3.9970) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 43.3333 (43.3333) + +2023-08-05 12:09:07,232 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.338) Loss: 3.7354 (3.8635) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (15.3000)Acc@5: 43.7500 (48.4000) + +2023-08-05 12:09:13,450 - train: [ INFO] - Train: 123 [ 0/41 ( 0%)] Loss: 0.763485 (0.7635) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.862s, 24.68/s (4.862s, 24.68/s) LR: 1.962e-04 P_Replacement: 0.23260837499999998 + +2023-08-05 12:09:38,888 - train: [ INFO] - Train: 123 [ 40/41 (100%)] Loss: 0.933390 (0.9088) Acc@1: 99.1667 (99.5732) Acc@5: 100.0000 (100.0000) Time: 0.637s, 188.30/s (0.739s, 162.39/s) LR: 1.962e-04 P_Replacement: 0.23818739351395074 + +2023-08-05 12:09:42,755 - train: [ INFO] - Test: [ 0/16] Time: 2.520 (2.520) Loss: 4.3022 (4.3022) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 41.6667 (41.6667) + +2023-08-05 12:09:45,953 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.336) Loss: 4.6510 (4.2305) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (13.5000)Acc@5: 35.0000 (46.8500) + +2023-08-05 12:09:52,215 - train: [ INFO] - Train: 124 [ 0/41 ( 0%)] Loss: 0.904623 (0.9046) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 5.114s, 23.47/s (5.114s, 23.47/s) LR: 1.920e-04 P_Replacement: 0.23832799999999998 + +2023-08-05 12:10:17,757 - train: [ INFO] - Train: 124 [ 40/41 (100%)] Loss: 0.802765 (0.9200) Acc@1: 100.0000 (99.6951) Acc@5: 100.0000 (100.0000) Time: 0.644s, 186.48/s (0.748s, 160.50/s) LR: 1.920e-04 P_Replacement: 0.24399774129800786 + +2023-08-05 12:10:21,534 - train: [ INFO] - Test: [ 0/16] Time: 2.549 (2.549) Loss: 3.8445 (3.8445) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 45.0000 (45.0000) + +2023-08-05 12:10:24,754 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.339) Loss: 3.7941 (4.0904) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (14.2000)Acc@5: 47.5000 (45.2500) + +2023-08-05 12:10:31,074 - train: [ INFO] - Train: 125 [ 0/41 ( 0%)] Loss: 0.805815 (0.8058) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.946s, 24.26/s (4.946s, 24.26/s) LR: 1.878e-04 P_Replacement: 0.244140625 + +2023-08-05 12:10:56,677 - train: [ INFO] - Train: 125 [ 40/41 (100%)] Loss: 1.132916 (0.8791) Acc@1: 100.0000 (99.5935) Acc@5: 100.0000 (100.0000) Time: 0.638s, 188.14/s (0.745s, 161.06/s) LR: 1.878e-04 P_Replacement: 0.24990182078938206 + +2023-08-05 12:11:00,356 - train: [ INFO] - Test: [ 0/16] Time: 2.486 (2.486) Loss: 4.0469 (4.0469) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 49.1667 (49.1667) + +2023-08-05 12:11:03,561 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.335) Loss: 4.0050 (4.2009) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (12.2500)Acc@5: 45.0000 (46.2000) + +2023-08-05 12:11:09,798 - train: [ INFO] - Train: 126 [ 0/41 ( 0%)] Loss: 1.004252 (1.0043) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.917s, 24.40/s (4.917s, 24.40/s) LR: 1.836e-04 P_Replacement: 0.250047 + +2023-08-05 12:11:35,353 - train: [ INFO] - Train: 126 [ 40/41 (100%)] Loss: 0.737642 (0.9496) Acc@1: 100.0000 (99.4512) Acc@5: 100.0000 (100.0000) Time: 0.638s, 188.09/s (0.743s, 161.46/s) LR: 1.836e-04 P_Replacement: 0.2559003819880733 + +2023-08-05 12:11:38,901 - train: [ INFO] - Test: [ 0/16] Time: 2.504 (2.504) Loss: 3.9553 (3.9553) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 41.6667 (41.6667) + +2023-08-05 12:11:42,081 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.334) Loss: 3.3688 (3.6903) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (15.6000)Acc@5: 56.2500 (48.9000) + +2023-08-05 12:11:48,094 - train: [ INFO] - Train: 127 [ 0/41 ( 0%)] Loss: 0.788229 (0.7882) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.884s, 24.57/s (4.884s, 24.57/s) LR: 1.795e-04 P_Replacement: 0.25604787500000004 + +2023-08-05 12:12:13,652 - train: [ INFO] - Train: 127 [ 40/41 (100%)] Loss: 0.904805 (0.9264) Acc@1: 100.0000 (99.6951) Acc@5: 100.0000 (100.0000) Time: 0.632s, 189.90/s (0.742s, 161.63/s) LR: 1.795e-04 P_Replacement: 0.26199417489408167 + +2023-08-05 12:12:17,389 - train: [ INFO] - Test: [ 0/16] Time: 2.517 (2.517) Loss: 4.1612 (4.1612) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 40.0000 (40.0000) + +2023-08-05 12:12:20,562 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.335) Loss: 3.8673 (3.9972) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (14.6500)Acc@5: 46.2500 (47.4500) + +2023-08-05 12:12:26,512 - train: [ INFO] - Train: 128 [ 0/41 ( 0%)] Loss: 0.841915 (0.8419) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.938s, 24.30/s (4.938s, 24.30/s) LR: 1.754e-04 P_Replacement: 0.26214400000000004 + +2023-08-05 12:12:52,122 - train: [ INFO] - Train: 128 [ 40/41 (100%)] Loss: 0.707740 (0.9048) Acc@1: 99.1667 (99.6342) Acc@5: 100.0000 (100.0000) Time: 0.636s, 188.73/s (0.745s, 161.06/s) LR: 1.754e-04 P_Replacement: 0.26818394950740704 + +2023-08-05 12:12:55,966 - train: [ INFO] - Test: [ 0/16] Time: 2.586 (2.586) Loss: 3.6292 (3.6292) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 45.8333 (45.8333) + +2023-08-05 12:12:59,167 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.340) Loss: 3.6968 (3.6565) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (14.1000)Acc@5: 50.0000 (47.6500) + +2023-08-05 12:13:05,276 - train: [ INFO] - Train: 129 [ 0/41 ( 0%)] Loss: 1.255991 (1.2560) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.919s, 24.39/s (4.919s, 24.39/s) LR: 1.713e-04 P_Replacement: 0.26833612500000004 + +2023-08-05 12:13:30,818 - train: [ INFO] - Train: 129 [ 40/41 (100%)] Loss: 1.373983 (0.9434) Acc@1: 100.0000 (99.4919) Acc@5: 100.0000 (100.0000) Time: 0.627s, 191.40/s (0.743s, 161.53/s) LR: 1.713e-04 P_Replacement: 0.2744704558280495 + +2023-08-05 12:13:34,424 - train: [ INFO] - Test: [ 0/16] Time: 2.539 (2.539) Loss: 4.0138 (4.0138) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 46.6667 (46.6667) + +2023-08-05 12:13:37,592 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.336) Loss: 3.9001 (3.8853) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (17.2500)Acc@5: 52.5000 (50.6000) + +2023-08-05 12:13:38,663 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-129.pth.tar', 17.250000762939454) + +2023-08-05 12:13:43,583 - train: [ INFO] - Train: 130 [ 0/41 ( 0%)] Loss: 1.221612 (1.2216) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.903s, 24.47/s (4.903s, 24.47/s) LR: 1.672e-04 P_Replacement: 0.274625 + +2023-08-05 12:14:09,174 - train: [ INFO] - Train: 130 [ 40/41 (100%)] Loss: 0.756576 (0.9746) Acc@1: 100.0000 (99.5529) Acc@5: 100.0000 (100.0000) Time: 0.637s, 188.32/s (0.744s, 161.35/s) LR: 1.672e-04 P_Replacement: 0.2808544438560091 + +2023-08-05 12:14:12,743 - train: [ INFO] - Test: [ 0/16] Time: 2.478 (2.478) Loss: 3.9070 (3.9070) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 47.5000 (47.5000) + +2023-08-05 12:14:15,922 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.333) Loss: 4.1177 (4.0591) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (14.6500)Acc@5: 47.5000 (48.4000) + +2023-08-05 12:14:22,260 - train: [ INFO] - Train: 131 [ 0/41 ( 0%)] Loss: 1.140328 (1.1403) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.984s, 24.08/s (4.984s, 24.08/s) LR: 1.632e-04 P_Replacement: 0.281011375 + +2023-08-05 12:14:47,903 - train: [ INFO] - Train: 131 [ 40/41 (100%)] Loss: 0.934235 (0.9779) Acc@1: 99.1667 (99.5122) Acc@5: 100.0000 (100.0000) Time: 0.639s, 187.76/s (0.747s, 160.65/s) LR: 1.632e-04 P_Replacement: 0.28733666359128573 + +2023-08-05 12:14:51,497 - train: [ INFO] - Test: [ 0/16] Time: 2.597 (2.597) Loss: 3.7916 (3.7916) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 50.8333 (50.8333) + +2023-08-05 12:14:54,694 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.341) Loss: 4.1332 (3.8450) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (16.3000)Acc@5: 47.5000 (49.7500) + +2023-08-05 12:15:00,737 - train: [ INFO] - Train: 132 [ 0/41 ( 0%)] Loss: 0.804798 (0.8048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.890s, 24.54/s (4.890s, 24.54/s) LR: 1.592e-04 P_Replacement: 0.28749600000000003 + +2023-08-05 12:15:26,215 - train: [ INFO] - Train: 132 [ 40/41 (100%)] Loss: 0.850016 (0.9217) Acc@1: 100.0000 (99.6138) Acc@5: 100.0000 (100.0000) Time: 0.650s, 184.55/s (0.741s, 162.02/s) LR: 1.592e-04 P_Replacement: 0.2939178650338794 + +2023-08-05 12:15:29,955 - train: [ INFO] - Test: [ 0/16] Time: 2.477 (2.477) Loss: 3.5453 (3.5453) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 51.6667 (51.6667) + +2023-08-05 12:15:33,146 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.333) Loss: 3.1597 (3.6593) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (16.3000)Acc@5: 55.0000 (49.5000) + +2023-08-05 12:15:39,259 - train: [ INFO] - Train: 133 [ 0/41 ( 0%)] Loss: 0.896968 (0.8970) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.849s, 24.75/s (4.849s, 24.75/s) LR: 1.553e-04 P_Replacement: 0.29407962500000007 + +2023-08-05 12:16:04,741 - train: [ INFO] - Train: 133 [ 40/41 (100%)] Loss: 0.873192 (0.9424) Acc@1: 99.1667 (99.6138) Acc@5: 100.0000 (100.0000) Time: 0.641s, 187.06/s (0.740s, 162.22/s) LR: 1.553e-04 P_Replacement: 0.3005987981837902 + +2023-08-05 12:16:08,341 - train: [ INFO] - Test: [ 0/16] Time: 2.581 (2.581) Loss: 3.2597 (3.2597) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 57.5000 (57.5000) + +2023-08-05 12:16:11,559 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.341) Loss: 4.0357 (3.4810) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (18.8000)Acc@5: 45.0000 (53.9000) + +2023-08-05 12:16:12,797 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-133.pth.tar', 18.800000801086426) + +2023-08-05 12:16:17,668 - train: [ INFO] - Train: 134 [ 0/41 ( 0%)] Loss: 0.957958 (0.9580) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.855s, 24.72/s (4.855s, 24.72/s) LR: 1.514e-04 P_Replacement: 0.30076300000000006 + +2023-08-05 12:16:43,240 - train: [ INFO] - Train: 134 [ 40/41 (100%)] Loss: 1.095222 (0.9594) Acc@1: 100.0000 (99.7561) Acc@5: 100.0000 (100.0000) Time: 0.642s, 187.06/s (0.742s, 161.71/s) LR: 1.514e-04 P_Replacement: 0.30738021304101804 + +2023-08-05 12:16:47,099 - train: [ INFO] - Test: [ 0/16] Time: 2.500 (2.500) Loss: 3.6414 (3.6414) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 53.3333 (53.3333) + +2023-08-05 12:16:50,291 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.335) Loss: 3.6875 (3.6907) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (19.3500)Acc@5: 56.2500 (52.9000) + +2023-08-05 12:16:51,450 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-134.pth.tar', 19.350001010894776) + +2023-08-05 12:16:56,338 - train: [ INFO] - Train: 135 [ 0/41 ( 0%)] Loss: 0.863956 (0.8640) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.872s, 24.63/s (4.872s, 24.63/s) LR: 1.475e-04 P_Replacement: 0.30754687500000005 + +2023-08-05 12:17:21,940 - train: [ INFO] - Train: 135 [ 40/41 (100%)] Loss: 0.930022 (0.9232) Acc@1: 100.0000 (99.6748) Acc@5: 100.0000 (100.0000) Time: 0.639s, 187.92/s (0.743s, 161.46/s) LR: 1.475e-04 P_Replacement: 0.31426285960556294 + +2023-08-05 12:17:25,871 - train: [ INFO] - Test: [ 0/16] Time: 2.602 (2.602) Loss: 3.7220 (3.7220) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 57.5000 (57.5000) + +2023-08-05 12:17:29,077 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.342) Loss: 3.9994 (3.7584) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (19.0500)Acc@5: 47.5000 (52.9000) + +2023-08-05 12:17:35,405 - train: [ INFO] - Train: 136 [ 0/41 ( 0%)] Loss: 0.809750 (0.8098) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 5.127s, 23.41/s (5.127s, 23.41/s) LR: 1.437e-04 P_Replacement: 0.31443200000000004 + +2023-08-05 12:18:01,008 - train: [ INFO] - Train: 136 [ 40/41 (100%)] Loss: 1.071527 (0.9476) Acc@1: 99.1667 (99.5935) Acc@5: 100.0000 (100.0000) Time: 0.639s, 187.65/s (0.749s, 160.12/s) LR: 1.437e-04 P_Replacement: 0.32124748787742496 + +2023-08-05 12:18:04,840 - train: [ INFO] - Test: [ 0/16] Time: 2.584 (2.584) Loss: 3.6429 (3.6429) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 61.6667 (61.6667) + +2023-08-05 12:18:08,045 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.341) Loss: 4.0167 (3.7729) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (20.1500)Acc@5: 53.7500 (55.4000) + +2023-08-05 12:18:09,184 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-136.pth.tar', 20.150000953674315) + +2023-08-05 12:18:14,030 - train: [ INFO] - Train: 137 [ 0/41 ( 0%)] Loss: 1.052536 (1.0525) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.831s, 24.84/s (4.831s, 24.84/s) LR: 1.399e-04 P_Replacement: 0.3214191250000001 + +2023-08-05 12:18:39,698 - train: [ INFO] - Train: 137 [ 40/41 (100%)] Loss: 0.774318 (0.8572) Acc@1: 100.0000 (99.6342) Acc@5: 100.0000 (100.0000) Time: 0.645s, 185.92/s (0.744s, 161.33/s) LR: 1.399e-04 P_Replacement: 0.3283348478566039 + +2023-08-05 12:18:43,475 - train: [ INFO] - Test: [ 0/16] Time: 2.517 (2.517) Loss: 3.5284 (3.5284) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 51.6667 (51.6667) + +2023-08-05 12:18:46,663 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.336) Loss: 3.7494 (3.7752) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (21.6500)Acc@5: 55.0000 (54.0000) + +2023-08-05 12:18:47,781 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-137.pth.tar', 21.650000896453857) + +2023-08-05 12:18:52,675 - train: [ INFO] - Train: 138 [ 0/41 ( 0%)] Loss: 0.674051 (0.6741) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.879s, 24.60/s (4.879s, 24.60/s) LR: 1.361e-04 P_Replacement: 0.32850899999999994 + +2023-08-05 12:19:18,358 - train: [ INFO] - Train: 138 [ 40/41 (100%)] Loss: 0.831630 (0.8070) Acc@1: 100.0000 (99.4919) Acc@5: 100.0000 (100.0000) Time: 0.649s, 185.01/s (0.745s, 161.00/s) LR: 1.361e-04 P_Replacement: 0.3355256895431 + +2023-08-05 12:19:22,057 - train: [ INFO] - Test: [ 0/16] Time: 2.520 (2.520) Loss: 3.8760 (3.8760) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 58.3333 (58.3333) + +2023-08-05 12:19:25,261 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.337) Loss: 4.0501 (3.7877) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (21.2500)Acc@5: 51.2500 (55.5500) + +2023-08-05 12:19:31,352 - train: [ INFO] - Train: 139 [ 0/41 ( 0%)] Loss: 1.151434 (1.1514) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.890s, 24.54/s (4.890s, 24.54/s) LR: 1.324e-04 P_Replacement: 0.33570237499999994 + +2023-08-05 12:19:56,934 - train: [ INFO] - Train: 139 [ 40/41 (100%)] Loss: 0.664703 (0.8260) Acc@1: 99.1667 (99.5529) Acc@5: 100.0000 (100.0000) Time: 0.636s, 188.67/s (0.743s, 161.47/s) LR: 1.324e-04 P_Replacement: 0.3428207629369132 + +2023-08-05 12:20:00,627 - train: [ INFO] - Test: [ 0/16] Time: 2.516 (2.516) Loss: 3.8577 (3.8577) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 53.3333 (53.3333) + +2023-08-05 12:20:03,830 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.336) Loss: 4.0824 (3.9685) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (20.4500)Acc@5: 52.5000 (55.0500) + +2023-08-05 12:20:09,844 - train: [ INFO] - Train: 140 [ 0/41 ( 0%)] Loss: 0.866912 (0.8669) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.866s, 24.66/s (4.866s, 24.66/s) LR: 1.287e-04 P_Replacement: 0.3429999999999999 + +2023-08-05 12:20:35,488 - train: [ INFO] - Train: 140 [ 40/41 (100%)] Loss: 0.855176 (0.7887) Acc@1: 99.1667 (99.4919) Acc@5: 100.0000 (100.0000) Time: 0.642s, 186.99/s (0.744s, 161.27/s) LR: 1.287e-04 P_Replacement: 0.3502208180380435 + +2023-08-05 12:20:39,098 - train: [ INFO] - Test: [ 0/16] Time: 2.491 (2.491) Loss: 3.8592 (3.8592) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 55.0000 (55.0000) + +2023-08-05 12:20:42,298 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.335) Loss: 3.5247 (3.9803) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (19.8000)Acc@5: 65.0000 (55.3000) + +2023-08-05 12:20:48,640 - train: [ INFO] - Train: 141 [ 0/41 ( 0%)] Loss: 0.783639 (0.7836) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.078s, 23.63/s (5.078s, 23.63/s) LR: 1.251e-04 P_Replacement: 0.35040262499999997 + +2023-08-05 12:21:14,249 - train: [ INFO] - Train: 141 [ 40/41 (100%)] Loss: 0.763619 (0.7488) Acc@1: 100.0000 (99.6951) Acc@5: 100.0000 (100.0000) Time: 0.644s, 186.47/s (0.748s, 160.34/s) LR: 1.251e-04 P_Replacement: 0.3577266048464909 + +2023-08-05 12:21:17,822 - train: [ INFO] - Test: [ 0/16] Time: 2.476 (2.476) Loss: 3.4609 (3.4609) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 63.3333 (63.3333) + +2023-08-05 12:21:20,982 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.332) Loss: 4.1082 (4.1713) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (20.0500)Acc@5: 53.7500 (54.8500) + +2023-08-05 12:21:27,035 - train: [ INFO] - Train: 142 [ 0/41 ( 0%)] Loss: 0.651458 (0.6515) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.893s, 24.52/s (4.893s, 24.52/s) LR: 1.215e-04 P_Replacement: 0.3579109999999999 + +2023-08-05 12:21:52,678 - train: [ INFO] - Train: 142 [ 40/41 (100%)] Loss: 0.719562 (0.7372) Acc@1: 100.0000 (99.5325) Acc@5: 100.0000 (100.0000) Time: 0.648s, 185.32/s (0.745s, 161.13/s) LR: 1.215e-04 P_Replacement: 0.3653388733622553 + +2023-08-05 12:21:56,382 - train: [ INFO] - Test: [ 0/16] Time: 2.524 (2.524) Loss: 3.8988 (3.8988) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 59.1667 (59.1667) + +2023-08-05 12:21:59,568 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.336) Loss: 3.5473 (4.0259) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (19.1000)Acc@5: 67.5000 (56.2000) + +2023-08-05 12:22:05,640 - train: [ INFO] - Train: 143 [ 0/41 ( 0%)] Loss: 0.635375 (0.6354) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.881s, 24.59/s (4.881s, 24.59/s) LR: 1.179e-04 P_Replacement: 0.36552587499999994 + +2023-08-05 12:22:31,224 - train: [ INFO] - Train: 143 [ 40/41 (100%)] Loss: 0.805766 (0.7009) Acc@1: 99.1667 (99.6342) Acc@5: 100.0000 (100.0000) Time: 0.643s, 186.68/s (0.743s, 161.51/s) LR: 1.179e-04 P_Replacement: 0.3730583735853368 + +2023-08-05 12:22:34,800 - train: [ INFO] - Test: [ 0/16] Time: 2.525 (2.525) Loss: 3.9348 (3.9348) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 59.1667 (59.1667) + +2023-08-05 12:22:38,006 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.337) Loss: 4.5529 (4.1324) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (20.3000)Acc@5: 47.5000 (56.4500) + +2023-08-05 12:22:43,978 - train: [ INFO] - Train: 144 [ 0/41 ( 0%)] Loss: 0.682478 (0.6825) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.884s, 24.57/s (4.884s, 24.57/s) LR: 1.144e-04 P_Replacement: 0.37324799999999997 + +2023-08-05 12:23:09,566 - train: [ INFO] - Train: 144 [ 40/41 (100%)] Loss: 0.526974 (0.6505) Acc@1: 100.0000 (99.6951) Acc@5: 100.0000 (100.0000) Time: 0.635s, 188.90/s (0.743s, 161.47/s) LR: 1.144e-04 P_Replacement: 0.3808858555157354 + +2023-08-05 12:23:13,431 - train: [ INFO] - Test: [ 0/16] Time: 2.579 (2.579) Loss: 3.8716 (3.8716) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 53.3333 (53.3333) + +2023-08-05 12:23:16,608 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.339) Loss: 4.4311 (4.1451) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0500)Acc@5: 41.2500 (54.8500) + +2023-08-05 12:23:22,783 - train: [ INFO] - Train: 145 [ 0/41 ( 0%)] Loss: 0.634722 (0.6347) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.846s, 24.76/s (4.846s, 24.76/s) LR: 1.109e-04 P_Replacement: 0.381078125 + +2023-08-05 12:23:48,449 - train: [ INFO] - Train: 145 [ 40/41 (100%)] Loss: 0.644223 (0.6511) Acc@1: 98.3333 (99.6342) Acc@5: 100.0000 (99.9797) Time: 0.646s, 185.65/s (0.744s, 161.25/s) LR: 1.109e-04 P_Replacement: 0.388822069153451 + +2023-08-05 12:23:52,105 - train: [ INFO] - Test: [ 0/16] Time: 2.560 (2.560) Loss: 4.2494 (4.2494) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 52.5000 (52.5000) + +2023-08-05 12:23:55,263 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.336) Loss: 4.1615 (4.2109) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (21.0000)Acc@5: 63.7500 (55.9000) + +2023-08-05 12:24:01,201 - train: [ INFO] - Train: 146 [ 0/41 ( 0%)] Loss: 0.621623 (0.6216) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.930s, 24.34/s (4.930s, 24.34/s) LR: 1.075e-04 P_Replacement: 0.38901699999999995 + +2023-08-05 12:24:26,764 - train: [ INFO] - Train: 146 [ 40/41 (100%)] Loss: 0.596726 (0.6007) Acc@1: 100.0000 (99.7968) Acc@5: 100.0000 (100.0000) Time: 0.635s, 188.85/s (0.744s, 161.36/s) LR: 1.075e-04 P_Replacement: 0.39686776449848377 + +2023-08-05 12:24:30,661 - train: [ INFO] - Test: [ 0/16] Time: 2.521 (2.521) Loss: 3.5514 (3.5514) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 63.3333 (63.3333) + +2023-08-05 12:24:33,843 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.335) Loss: 4.1374 (4.1935) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (19.7500)Acc@5: 63.7500 (57.3000) + +2023-08-05 12:24:40,082 - train: [ INFO] - Train: 147 [ 0/41 ( 0%)] Loss: 0.684726 (0.6847) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.883s, 24.57/s (4.883s, 24.57/s) LR: 1.042e-04 P_Replacement: 0.397065375 + +2023-08-05 12:25:05,719 - train: [ INFO] - Train: 147 [ 40/41 (100%)] Loss: 0.712951 (0.6139) Acc@1: 100.0000 (99.7968) Acc@5: 100.0000 (100.0000) Time: 0.635s, 189.05/s (0.744s, 161.22/s) LR: 1.042e-04 P_Replacement: 0.40502369155083356 + +2023-08-05 12:25:09,327 - train: [ INFO] - Test: [ 0/16] Time: 2.477 (2.477) Loss: 3.8859 (3.8859) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 58.3333 (58.3333) + +2023-08-05 12:25:12,510 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.333) Loss: 3.6010 (3.9730) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (21.6500)Acc@5: 62.5000 (57.0000) + +2023-08-05 12:25:13,883 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-147.pth.tar', 21.650000972747804) + +2023-08-05 12:25:18,866 - train: [ INFO] - Train: 148 [ 0/41 ( 0%)] Loss: 0.740906 (0.7409) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.968s, 24.15/s (4.968s, 24.15/s) LR: 1.008e-04 P_Replacement: 0.405224 + +2023-08-05 12:25:44,474 - train: [ INFO] - Train: 148 [ 40/41 (100%)] Loss: 0.568010 (0.6054) Acc@1: 100.0000 (99.6951) Acc@5: 100.0000 (100.0000) Time: 0.637s, 188.29/s (0.746s, 160.92/s) LR: 1.008e-04 P_Replacement: 0.4132906003105004 + +2023-08-05 12:25:48,217 - train: [ INFO] - Test: [ 0/16] Time: 2.556 (2.556) Loss: 3.7831 (3.7831) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 59.1667 (59.1667) + +2023-08-05 12:25:51,429 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.339) Loss: 3.4486 (3.8876) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (22.1500)Acc@5: 67.5000 (58.5500) + +2023-08-05 12:25:52,451 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-148.pth.tar', 22.150001296997072) + +2023-08-05 12:25:57,293 - train: [ INFO] - Train: 149 [ 0/41 ( 0%)] Loss: 0.416315 (0.4163) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.826s, 24.87/s (4.826s, 24.87/s) LR: 9.757e-05 P_Replacement: 0.413493625 + +2023-08-05 12:26:22,890 - train: [ INFO] - Train: 149 [ 40/41 (100%)] Loss: 0.571213 (0.5741) Acc@1: 100.0000 (99.8374) Acc@5: 100.0000 (100.0000) Time: 0.636s, 188.82/s (0.742s, 161.73/s) LR: 9.757e-05 P_Replacement: 0.42166924077748436 + +2023-08-05 12:26:26,411 - train: [ INFO] - Test: [ 0/16] Time: 2.498 (2.498) Loss: 3.6706 (3.6706) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 62.5000 (62.5000) + +2023-08-05 12:26:29,601 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.335) Loss: 4.2600 (4.0887) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (22.2000)Acc@5: 55.0000 (58.3500) + +2023-08-05 12:26:30,741 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-149.pth.tar', 22.200001068115235) + +2023-08-05 12:26:35,663 - train: [ INFO] - Train: 150 [ 0/41 ( 0%)] Loss: 0.497194 (0.4972) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.905s, 24.46/s (4.905s, 24.46/s) LR: 9.434e-05 P_Replacement: 0.421875 + +2023-08-05 12:27:01,233 - train: [ INFO] - Train: 150 [ 40/41 (100%)] Loss: 0.657036 (0.5835) Acc@1: 99.1667 (99.7155) Acc@5: 100.0000 (100.0000) Time: 0.636s, 188.63/s (0.743s, 161.45/s) LR: 9.434e-05 P_Replacement: 0.4301603629517854 + +2023-08-05 12:27:04,923 - train: [ INFO] - Test: [ 0/16] Time: 2.509 (2.509) Loss: 3.7228 (3.7228) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 60.0000 (60.0000) + +2023-08-05 12:27:08,106 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.335) Loss: 3.7437 (3.9700) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (23.3000)Acc@5: 60.0000 (58.0000) + +2023-08-05 12:27:09,338 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-150.pth.tar', 23.30000129699707) + +2023-08-05 12:27:14,287 - train: [ INFO] - Train: 151 [ 0/41 ( 0%)] Loss: 0.563051 (0.5631) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 4.930s, 24.34/s (4.930s, 24.34/s) LR: 9.117e-05 P_Replacement: 0.430368875 + +2023-08-05 12:27:39,937 - train: [ INFO] - Train: 151 [ 40/41 (100%)] Loss: 0.560611 (0.5668) Acc@1: 99.1667 (99.7764) Acc@5: 100.0000 (100.0000) Time: 0.641s, 187.17/s (0.746s, 160.90/s) LR: 9.117e-05 P_Replacement: 0.43876471683340346 + +2023-08-05 12:27:43,509 - train: [ INFO] - Test: [ 0/16] Time: 2.499 (2.499) Loss: 4.8578 (4.8578) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 43.3333 (43.3333) + +2023-08-05 12:27:46,719 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.336) Loss: 4.2932 (4.1658) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (20.6500)Acc@5: 51.2500 (55.4000) + +2023-08-05 12:27:52,988 - train: [ INFO] - Train: 152 [ 0/41 ( 0%)] Loss: 0.489175 (0.4892) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.910s, 24.44/s (4.910s, 24.44/s) LR: 8.805e-05 P_Replacement: 0.43897600000000003 + +2023-08-05 12:28:18,499 - train: [ INFO] - Train: 152 [ 40/41 (100%)] Loss: 0.657831 (0.5641) Acc@1: 100.0000 (99.7561) Acc@5: 100.0000 (100.0000) Time: 0.643s, 186.65/s (0.742s, 161.74/s) LR: 8.805e-05 P_Replacement: 0.44748305242233866 + +2023-08-05 12:28:22,072 - train: [ INFO] - Test: [ 0/16] Time: 2.485 (2.485) Loss: 3.8474 (3.8474) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 56.6667 (56.6667) + +2023-08-05 12:28:25,272 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.334) Loss: 3.8479 (3.9312) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (23.2000)Acc@5: 62.5000 (58.0000) + +2023-08-05 12:28:31,721 - train: [ INFO] - Train: 153 [ 0/41 ( 0%)] Loss: 0.835969 (0.8360) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.059s, 23.72/s (5.059s, 23.72/s) LR: 8.498e-05 P_Replacement: 0.44769712500000003 + +2023-08-05 12:28:57,358 - train: [ INFO] - Train: 153 [ 40/41 (100%)] Loss: 0.719704 (0.5388) Acc@1: 100.0000 (99.8781) Acc@5: 100.0000 (100.0000) Time: 0.637s, 188.45/s (0.749s, 160.29/s) LR: 8.498e-05 P_Replacement: 0.4563161197185909 + +2023-08-05 12:29:01,074 - train: [ INFO] - Test: [ 0/16] Time: 2.520 (2.520) Loss: 4.2693 (4.2693) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 51.6667 (51.6667) + +2023-08-05 12:29:04,276 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.337) Loss: 4.4451 (3.9907) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.7500)Acc@5: 47.5000 (56.7500) + +2023-08-05 12:29:10,844 - train: [ INFO] - Train: 154 [ 0/41 ( 0%)] Loss: 0.399594 (0.3996) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.181s, 23.16/s (5.181s, 23.16/s) LR: 8.196e-05 P_Replacement: 0.456533 + +2023-08-05 12:29:36,538 - train: [ INFO] - Train: 154 [ 40/41 (100%)] Loss: 0.630088 (0.5337) Acc@1: 100.0000 (99.8781) Acc@5: 100.0000 (100.0000) Time: 0.648s, 185.29/s (0.753s, 159.36/s) LR: 8.196e-05 P_Replacement: 0.4652646687221602 + +2023-08-05 12:29:40,359 - train: [ INFO] - Test: [ 0/16] Time: 2.565 (2.565) Loss: 3.4147 (3.4147) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 65.8333 (65.8333) + +2023-08-05 12:29:43,537 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.338) Loss: 4.3264 (3.9712) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (22.4000)Acc@5: 56.2500 (57.8500) + +2023-08-05 12:29:50,757 - train: [ INFO] - Train: 155 [ 0/41 ( 0%)] Loss: 0.563682 (0.5637) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.823s, 20.61/s (5.823s, 20.61/s) LR: 7.900e-05 P_Replacement: 0.46548437500000006 + +2023-08-05 12:30:16,484 - train: [ INFO] - Train: 155 [ 40/41 (100%)] Loss: 0.517999 (0.5470) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.644s, 186.33/s (0.769s, 155.96/s) LR: 7.900e-05 P_Replacement: 0.47432944943304656 + +2023-08-05 12:30:20,694 - train: [ INFO] - Test: [ 0/16] Time: 2.748 (2.748) Loss: 3.5886 (3.5886) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 59.1667 (59.1667) + +2023-08-05 12:30:23,861 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.348) Loss: 4.0525 (3.8415) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (23.8000)Acc@5: 58.7500 (59.6000) + +2023-08-05 12:30:25,020 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-155.pth.tar', 23.80000141143799) + +2023-08-05 12:30:30,150 - train: [ INFO] - Train: 156 [ 0/41 ( 0%)] Loss: 0.574338 (0.5743) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.111s, 23.48/s (5.111s, 23.48/s) LR: 7.609e-05 P_Replacement: 0.47455200000000003 + +2023-08-05 12:30:55,775 - train: [ INFO] - Train: 156 [ 40/41 (100%)] Loss: 0.751523 (0.5203) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.637s, 188.42/s (0.750s, 160.09/s) LR: 7.609e-05 P_Replacement: 0.48351121185125007 + +2023-08-05 12:30:59,790 - train: [ INFO] - Test: [ 0/16] Time: 2.811 (2.811) Loss: 4.1660 (4.1660) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 58.3333 (58.3333) + +2023-08-05 12:31:02,932 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.350) Loss: 3.9613 (3.9990) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (22.2500)Acc@5: 57.5000 (58.7000) + +2023-08-05 12:31:10,550 - train: [ INFO] - Train: 157 [ 0/41 ( 0%)] Loss: 0.432998 (0.4330) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 6.212s, 19.32/s (6.212s, 19.32/s) LR: 7.323e-05 P_Replacement: 0.48373662500000003 + +2023-08-05 12:31:36,170 - train: [ INFO] - Train: 157 [ 40/41 (100%)] Loss: 0.564934 (0.5113) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.634s, 189.39/s (0.776s, 154.57/s) LR: 7.323e-05 P_Replacement: 0.49281070597677057 + +2023-08-05 12:31:40,135 - train: [ INFO] - Test: [ 0/16] Time: 2.731 (2.731) Loss: 4.0964 (4.0964) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 54.1667 (54.1667) + +2023-08-05 12:31:43,308 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.347) Loss: 3.8978 (3.8932) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 53.7500 (58.9500) + +2023-08-05 12:31:49,868 - train: [ INFO] - Train: 158 [ 0/41 ( 0%)] Loss: 0.405347 (0.4053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.343s, 22.46/s (5.343s, 22.46/s) LR: 7.043e-05 P_Replacement: 0.49303900000000006 + +2023-08-05 12:32:15,521 - train: [ INFO] - Train: 158 [ 40/41 (100%)] Loss: 0.533927 (0.5259) Acc@1: 98.3333 (99.7764) Acc@5: 100.0000 (100.0000) Time: 0.642s, 187.06/s (0.756s, 158.74/s) LR: 7.043e-05 P_Replacement: 0.5022286818096082 + +2023-08-05 12:32:19,940 - train: [ INFO] - Test: [ 0/16] Time: 3.179 (3.179) Loss: 4.7917 (4.7917) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 50.8333 (50.8333) + +2023-08-05 12:32:23,109 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.373) Loss: 3.9731 (3.8930) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (23.7500)Acc@5: 58.7500 (60.3000) + +2023-08-05 12:32:30,343 - train: [ INFO] - Train: 159 [ 0/41 ( 0%)] Loss: 0.461391 (0.4614) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.896s, 20.35/s (5.896s, 20.35/s) LR: 6.768e-05 P_Replacement: 0.5024598750000001 + +2023-08-05 12:32:56,057 - train: [ INFO] - Train: 159 [ 40/41 (100%)] Loss: 0.492043 (0.5150) Acc@1: 100.0000 (99.8781) Acc@5: 100.0000 (100.0000) Time: 0.639s, 187.80/s (0.771s, 155.66/s) LR: 6.768e-05 P_Replacement: 0.5117658893497629 + +2023-08-05 12:33:00,590 - train: [ INFO] - Test: [ 0/16] Time: 3.104 (3.104) Loss: 3.6319 (3.6319) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 62.5000 (62.5000) + +2023-08-05 12:33:03,804 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.372) Loss: 3.7543 (3.8039) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (23.4000)Acc@5: 55.0000 (58.7000) + +2023-08-05 12:33:09,877 - train: [ INFO] - Train: 160 [ 0/41 ( 0%)] Loss: 0.430422 (0.4304) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.853s, 24.73/s (4.853s, 24.73/s) LR: 6.500e-05 P_Replacement: 0.5120000000000001 + +2023-08-05 12:33:35,422 - train: [ INFO] - Train: 160 [ 40/41 (100%)] Loss: 0.391594 (0.4999) Acc@1: 100.0000 (99.8171) Acc@5: 100.0000 (100.0000) Time: 0.637s, 188.26/s (0.741s, 161.86/s) LR: 6.500e-05 P_Replacement: 0.5214230785972346 + +2023-08-05 12:33:40,114 - train: [ INFO] - Test: [ 0/16] Time: 3.212 (3.212) Loss: 4.2070 (4.2070) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 58.3333 (58.3333) + +2023-08-05 12:33:43,314 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.377) Loss: 3.6899 (3.8420) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (22.9000)Acc@5: 62.5000 (59.3000) + +2023-08-05 12:33:50,059 - train: [ INFO] - Train: 161 [ 0/41 ( 0%)] Loss: 0.548885 (0.5489) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 5.295s, 22.66/s (5.295s, 22.66/s) LR: 6.237e-05 P_Replacement: 0.5216601250000001 + +2023-08-05 12:34:15,678 - train: [ INFO] - Train: 161 [ 40/41 (100%)] Loss: 0.442806 (0.5187) Acc@1: 100.0000 (99.8171) Acc@5: 100.0000 (100.0000) Time: 0.643s, 186.58/s (0.754s, 159.16/s) LR: 6.237e-05 P_Replacement: 0.5312009995520235 + +2023-08-05 12:34:20,218 - train: [ INFO] - Test: [ 0/16] Time: 3.161 (3.161) Loss: 4.2708 (4.2708) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 57.5000 (57.5000) + +2023-08-05 12:34:23,424 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.374) Loss: 3.5995 (3.8954) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (23.6500)Acc@5: 62.5000 (58.3000) + +2023-08-05 12:34:29,708 - train: [ INFO] - Train: 162 [ 0/41 ( 0%)] Loss: 0.350203 (0.3502) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.057s, 23.73/s (5.057s, 23.73/s) LR: 5.980e-05 P_Replacement: 0.531441 + +2023-08-05 12:34:55,317 - train: [ INFO] - Train: 162 [ 40/41 (100%)] Loss: 0.567653 (0.5012) Acc@1: 99.1667 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.644s, 186.24/s (0.748s, 160.45/s) LR: 5.980e-05 P_Replacement: 0.5411004022141291 + +2023-08-05 12:34:59,148 - train: [ INFO] - Test: [ 0/16] Time: 2.559 (2.559) Loss: 3.3687 (3.3687) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 62.5000 (62.5000) + +2023-08-05 12:35:02,344 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.338) Loss: 3.9614 (3.7875) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (24.1500)Acc@5: 51.2500 (59.3500) + +2023-08-05 12:35:03,560 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-162.pth.tar', 24.150001296997072) + +2023-08-05 12:35:08,668 - train: [ INFO] - Train: 163 [ 0/41 ( 0%)] Loss: 0.407637 (0.4076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.092s, 23.56/s (5.092s, 23.56/s) LR: 5.728e-05 P_Replacement: 0.5413433749999998 + +2023-08-05 12:35:34,354 - train: [ INFO] - Train: 163 [ 40/41 (100%)] Loss: 0.577811 (0.5108) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.643s, 186.55/s (0.751s, 159.86/s) LR: 5.728e-05 P_Replacement: 0.5511220365835521 + +2023-08-05 12:35:39,145 - train: [ INFO] - Test: [ 0/16] Time: 3.232 (3.232) Loss: 3.8983 (3.8983) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 55.8333 (55.8333) + +2023-08-05 12:35:42,357 - train: [ INFO] - Test: [ 16/16] Time: 0.149 (0.379) Loss: 3.9499 (3.8085) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (23.7500)Acc@5: 57.5000 (60.0500) + +2023-08-05 12:35:49,079 - train: [ INFO] - Train: 164 [ 0/41 ( 0%)] Loss: 0.475810 (0.4758) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.332s, 22.51/s (5.332s, 22.51/s) LR: 5.483e-05 P_Replacement: 0.5513679999999999 + +2023-08-05 12:36:14,673 - train: [ INFO] - Train: 164 [ 40/41 (100%)] Loss: 0.602365 (0.5153) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.642s, 187.01/s (0.754s, 159.10/s) LR: 5.483e-05 P_Replacement: 0.5612666526602921 + +2023-08-05 12:36:18,612 - train: [ INFO] - Test: [ 0/16] Time: 2.689 (2.689) Loss: 4.2710 (4.2710) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 58.3333 (58.3333) + +2023-08-05 12:36:21,788 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.345) Loss: 3.6472 (3.8776) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (23.4500)Acc@5: 60.0000 (60.3500) + +2023-08-05 12:36:28,011 - train: [ INFO] - Train: 165 [ 0/41 ( 0%)] Loss: 0.481531 (0.4815) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.019s, 23.91/s (5.019s, 23.91/s) LR: 5.244e-05 P_Replacement: 0.561515625 + +2023-08-05 12:36:53,725 - train: [ INFO] - Train: 165 [ 40/41 (100%)] Loss: 0.419353 (0.5282) Acc@1: 99.1667 (99.7968) Acc@5: 100.0000 (100.0000) Time: 0.645s, 186.08/s (0.750s, 160.10/s) LR: 5.244e-05 P_Replacement: 0.5715350004443492 + +2023-08-05 12:36:57,398 - train: [ INFO] - Test: [ 0/16] Time: 2.645 (2.645) Loss: 3.7649 (3.7649) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 60.8333 (60.8333) + +2023-08-05 12:37:00,579 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.343) Loss: 3.6857 (3.7589) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (23.7500)Acc@5: 61.2500 (60.3000) + +2023-08-05 12:37:07,253 - train: [ INFO] - Train: 166 [ 0/41 ( 0%)] Loss: 0.553211 (0.5532) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.248s, 22.87/s (5.248s, 22.87/s) LR: 5.010e-05 P_Replacement: 0.5717869999999999 + +2023-08-05 12:37:32,924 - train: [ INFO] - Train: 166 [ 40/41 (100%)] Loss: 0.717989 (0.5510) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.641s, 187.33/s (0.754s, 159.14/s) LR: 5.010e-05 P_Replacement: 0.5819278299357235 + +2023-08-05 12:37:37,156 - train: [ INFO] - Test: [ 0/16] Time: 2.962 (2.962) Loss: 3.7275 (3.7275) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 56.6667 (56.6667) + +2023-08-05 12:37:40,364 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.363) Loss: 3.6987 (3.7470) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (24.9000)Acc@5: 60.0000 (60.9000) + +2023-08-05 12:37:41,777 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-166.pth.tar', 24.900001525878906) + +2023-08-05 12:37:46,780 - train: [ INFO] - Train: 167 [ 0/41 ( 0%)] Loss: 0.726162 (0.7262) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.987s, 24.06/s (4.987s, 24.06/s) LR: 4.783e-05 P_Replacement: 0.5821828749999999 + +2023-08-05 12:38:12,348 - train: [ INFO] - Train: 167 [ 40/41 (100%)] Loss: 0.446670 (0.5280) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.643s, 186.77/s (0.745s, 161.03/s) LR: 4.783e-05 P_Replacement: 0.5924458911344147 + +2023-08-05 12:38:16,309 - train: [ INFO] - Test: [ 0/16] Time: 2.716 (2.716) Loss: 3.7162 (3.7162) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 56.6667 (56.6667) + +2023-08-05 12:38:19,493 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.347) Loss: 4.0835 (3.8064) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (23.7000)Acc@5: 55.0000 (60.1500) + +2023-08-05 12:38:26,103 - train: [ INFO] - Train: 168 [ 0/41 ( 0%)] Loss: 0.448523 (0.4485) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.237s, 22.92/s (5.237s, 22.92/s) LR: 4.562e-05 P_Replacement: 0.5927039999999999 + +2023-08-05 12:38:51,675 - train: [ INFO] - Train: 168 [ 40/41 (100%)] Loss: 0.583471 (0.5349) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.632s, 189.79/s (0.751s, 159.70/s) LR: 4.562e-05 P_Replacement: 0.603089934040423 + +2023-08-05 12:38:55,617 - train: [ INFO] - Test: [ 0/16] Time: 2.725 (2.725) Loss: 3.6687 (3.6687) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 60.8333 (60.8333) + +2023-08-05 12:38:58,786 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.347) Loss: 3.5832 (3.7646) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (24.4000)Acc@5: 61.2500 (60.2000) + +2023-08-05 12:39:05,322 - train: [ INFO] - Train: 169 [ 0/41 ( 0%)] Loss: 0.421560 (0.4216) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.169s, 23.22/s (5.169s, 23.22/s) LR: 4.347e-05 P_Replacement: 0.603351125 + +2023-08-05 12:39:30,901 - train: [ INFO] - Train: 169 [ 40/41 (100%)] Loss: 0.541619 (0.5448) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.645s, 186.01/s (0.750s, 160.02/s) LR: 4.347e-05 P_Replacement: 0.6138607086537484 + +2023-08-05 12:39:34,701 - train: [ INFO] - Test: [ 0/16] Time: 2.643 (2.643) Loss: 4.0183 (4.0183) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 60.0000 (60.0000) + +2023-08-05 12:39:37,872 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.342) Loss: 3.7093 (3.7518) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (25.0000)Acc@5: 63.7500 (61.1000) + +2023-08-05 12:39:38,971 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-169.pth.tar', 25.000001220703126) + +2023-08-05 12:39:44,298 - train: [ INFO] - Train: 170 [ 0/41 ( 0%)] Loss: 0.434497 (0.4345) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.311s, 22.60/s (5.311s, 22.60/s) LR: 4.139e-05 P_Replacement: 0.6141249999999999 + +2023-08-05 12:40:09,924 - train: [ INFO] - Train: 170 [ 40/41 (100%)] Loss: 0.519833 (0.5364) Acc@1: 100.0000 (99.8171) Acc@5: 100.0000 (100.0000) Time: 0.629s, 190.83/s (0.755s, 159.05/s) LR: 4.139e-05 P_Replacement: 0.624758964974391 + +2023-08-05 12:40:13,595 - train: [ INFO] - Test: [ 0/16] Time: 2.698 (2.698) Loss: 3.8144 (3.8144) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 59.1667 (59.1667) + +2023-08-05 12:40:16,776 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.346) Loss: 3.5130 (3.7583) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (24.6500)Acc@5: 63.7500 (60.2000) + +2023-08-05 12:40:23,320 - train: [ INFO] - Train: 171 [ 0/41 ( 0%)] Loss: 0.410435 (0.4104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.158s, 23.26/s (5.158s, 23.26/s) LR: 3.936e-05 P_Replacement: 0.6250263749999999 + +2023-08-05 12:40:49,025 - train: [ INFO] - Train: 171 [ 40/41 (100%)] Loss: 0.547719 (0.5249) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.648s, 185.24/s (0.753s, 159.42/s) LR: 3.936e-05 P_Replacement: 0.6357854530023505 + +2023-08-05 12:40:52,918 - train: [ INFO] - Test: [ 0/16] Time: 2.715 (2.715) Loss: 3.9794 (3.9794) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 59.1667 (59.1667) + +2023-08-05 12:40:56,122 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.348) Loss: 3.3948 (3.8084) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (23.7500)Acc@5: 61.2500 (60.1500) + +2023-08-05 12:41:02,698 - train: [ INFO] - Train: 172 [ 0/41 ( 0%)] Loss: 0.485456 (0.4855) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.181s, 23.16/s (5.181s, 23.16/s) LR: 3.741e-05 P_Replacement: 0.636056 + +2023-08-05 12:41:28,342 - train: [ INFO] - Train: 172 [ 40/41 (100%)] Loss: 1.061849 (0.5169) Acc@1: 100.0000 (99.8781) Acc@5: 100.0000 (100.0000) Time: 0.646s, 185.70/s (0.752s, 159.62/s) LR: 3.741e-05 P_Replacement: 0.6469409227376272 + +2023-08-05 12:41:32,197 - train: [ INFO] - Test: [ 0/16] Time: 2.679 (2.679) Loss: 2.9405 (2.9405) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 70.0000 (70.0000) + +2023-08-05 12:41:35,380 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.345) Loss: 3.2453 (3.6162) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (26.9000)Acc@5: 65.0000 (63.1000) + +2023-08-05 12:41:36,444 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-172.pth.tar', 26.900001411437987) + +2023-08-05 12:41:41,646 - train: [ INFO] - Train: 173 [ 0/41 ( 0%)] Loss: 0.588791 (0.5888) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.183s, 23.15/s (5.183s, 23.15/s) LR: 3.551e-05 P_Replacement: 0.6472146249999999 + +2023-08-05 12:42:07,291 - train: [ INFO] - Train: 173 [ 40/41 (100%)] Loss: 0.785919 (0.5627) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.646s, 185.72/s (0.752s, 159.60/s) LR: 3.551e-05 P_Replacement: 0.6582261241802209 + +2023-08-05 12:42:11,108 - train: [ INFO] - Test: [ 0/16] Time: 2.655 (2.655) Loss: 3.9405 (3.9405) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 59.1667 (59.1667) + +2023-08-05 12:42:14,278 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.343) Loss: 3.8651 (3.6346) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (27.3000)Acc@5: 56.2500 (62.6000) + +2023-08-05 12:42:15,682 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-173.pth.tar', 27.300001335144042) + +2023-08-05 12:42:20,904 - train: [ INFO] - Train: 174 [ 0/41 ( 0%)] Loss: 0.651419 (0.6514) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.205s, 23.05/s (5.205s, 23.05/s) LR: 3.368e-05 P_Replacement: 0.658503 + +2023-08-05 12:42:46,542 - train: [ INFO] - Train: 174 [ 40/41 (100%)] Loss: 0.518726 (0.5097) Acc@1: 100.0000 (99.7968) Acc@5: 100.0000 (100.0000) Time: 0.638s, 188.00/s (0.752s, 159.53/s) LR: 3.368e-05 P_Replacement: 0.6696418073301316 + +2023-08-05 12:42:50,263 - train: [ INFO] - Test: [ 0/16] Time: 2.603 (2.603) Loss: 4.0692 (4.0692) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 55.0000 (55.0000) + +2023-08-05 12:42:53,472 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.342) Loss: 3.3676 (3.7461) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (24.1500)Acc@5: 60.0000 (59.9500) + +2023-08-05 12:42:59,924 - train: [ INFO] - Train: 175 [ 0/41 ( 0%)] Loss: 0.581588 (0.5816) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.218s, 23.00/s (5.218s, 23.00/s) LR: 3.192e-05 P_Replacement: 0.669921875 + +2023-08-05 12:43:25,525 - train: [ INFO] - Train: 175 [ 40/41 (100%)] Loss: 0.495900 (0.5591) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.646s, 185.84/s (0.752s, 159.65/s) LR: 3.192e-05 P_Replacement: 0.6811887221873595 + +2023-08-05 12:43:29,269 - train: [ INFO] - Test: [ 0/16] Time: 2.705 (2.705) Loss: 4.1110 (4.1110) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 51.6667 (51.6667) + +2023-08-05 12:43:32,446 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.346) Loss: 3.5302 (3.7626) cLoss: 0.0000 (0.0000) Acc@1: 36.2500 (25.4500)Acc@5: 62.5000 (60.6000) + +2023-08-05 12:43:39,013 - train: [ INFO] - Train: 176 [ 0/41 ( 0%)] Loss: 0.752008 (0.7520) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 5.190s, 23.12/s (5.190s, 23.12/s) LR: 3.022e-05 P_Replacement: 0.681472 + +2023-08-05 12:44:04,756 - train: [ INFO] - Train: 176 [ 40/41 (100%)] Loss: 0.607784 (0.5138) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.641s, 187.27/s (0.754s, 159.06/s) LR: 3.022e-05 P_Replacement: 0.6928676187519044 + +2023-08-05 12:44:08,661 - train: [ INFO] - Test: [ 0/16] Time: 2.696 (2.696) Loss: 4.0594 (4.0594) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 59.1667 (59.1667) + +2023-08-05 12:44:11,847 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.346) Loss: 3.5953 (3.9190) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (23.6000)Acc@5: 63.7500 (60.0500) + +2023-08-05 12:44:18,459 - train: [ INFO] - Train: 177 [ 0/41 ( 0%)] Loss: 0.481459 (0.4815) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.256s, 22.83/s (5.256s, 22.83/s) LR: 2.859e-05 P_Replacement: 0.6931541250000001 + +2023-08-05 12:44:44,146 - train: [ INFO] - Train: 177 [ 40/41 (100%)] Loss: 0.588834 (0.5277) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.642s, 186.87/s (0.755s, 159.01/s) LR: 2.859e-05 P_Replacement: 0.7046792470237664 + +2023-08-05 12:44:47,865 - train: [ INFO] - Test: [ 0/16] Time: 2.729 (2.729) Loss: 4.0747 (4.0747) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 60.0000 (60.0000) + +2023-08-05 12:44:51,024 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.346) Loss: 4.0998 (3.9559) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.9000)Acc@5: 55.0000 (59.9000) + +2023-08-05 12:44:57,700 - train: [ INFO] - Train: 178 [ 0/41 ( 0%)] Loss: 0.442766 (0.4428) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.322s, 22.55/s (5.322s, 22.55/s) LR: 2.702e-05 P_Replacement: 0.7049690000000001 + +2023-08-05 12:45:23,323 - train: [ INFO] - Train: 178 [ 40/41 (100%)] Loss: 0.578330 (0.5289) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.644s, 186.43/s (0.755s, 159.01/s) LR: 2.702e-05 P_Replacement: 0.7166243570029455 + +2023-08-05 12:45:27,219 - train: [ INFO] - Test: [ 0/16] Time: 2.759 (2.759) Loss: 4.0221 (4.0221) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 57.5000 (57.5000) + +2023-08-05 12:45:30,418 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.350) Loss: 4.3483 (4.0033) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (23.6000)Acc@5: 60.0000 (59.4500) + +2023-08-05 12:45:37,136 - train: [ INFO] - Train: 179 [ 0/41 ( 0%)] Loss: 0.430133 (0.4301) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.304s, 22.62/s (5.304s, 22.62/s) LR: 2.553e-05 P_Replacement: 0.7169173750000001 + +2023-08-05 12:46:02,821 - train: [ INFO] - Train: 179 [ 40/41 (100%)] Loss: 0.527256 (0.5030) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.631s, 190.03/s (0.756s, 158.77/s) LR: 2.553e-05 P_Replacement: 0.7287036986894416 + +2023-08-05 12:46:06,773 - train: [ INFO] - Test: [ 0/16] Time: 2.738 (2.738) Loss: 3.9514 (3.9514) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 60.0000 (60.0000) + +2023-08-05 12:46:09,948 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.348) Loss: 4.5586 (3.9193) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (25.2500)Acc@5: 56.2500 (60.9000) + +2023-08-05 12:46:16,306 - train: [ INFO] - Train: 180 [ 0/41 ( 0%)] Loss: 0.403860 (0.4039) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.265s, 22.79/s (5.265s, 22.79/s) LR: 2.409e-05 P_Replacement: 0.7290000000000001 + +2023-08-05 12:46:41,860 - train: [ INFO] - Train: 180 [ 40/41 (100%)] Loss: 0.482877 (0.4985) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.642s, 186.97/s (0.752s, 159.65/s) LR: 2.409e-05 P_Replacement: 0.7409180220832549 + +2023-08-05 12:46:45,591 - train: [ INFO] - Test: [ 0/16] Time: 2.644 (2.644) Loss: 3.9855 (3.9855) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 60.0000 (60.0000) + +2023-08-05 12:46:48,770 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.343) Loss: 3.6049 (3.8765) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (25.0000)Acc@5: 63.7500 (61.8500) + +2023-08-05 12:46:55,449 - train: [ INFO] - Train: 181 [ 0/41 ( 0%)] Loss: 0.497737 (0.4977) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.263s, 22.80/s (5.263s, 22.80/s) LR: 2.273e-05 P_Replacement: 0.7412176250000001 + +2023-08-05 12:47:21,187 - train: [ INFO] - Train: 181 [ 40/41 (100%)] Loss: 0.518069 (0.5136) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.640s, 187.51/s (0.756s, 158.72/s) LR: 2.273e-05 P_Replacement: 0.753268077184385 + +2023-08-05 12:47:25,290 - train: [ INFO] - Test: [ 0/16] Time: 2.719 (2.719) Loss: 3.8843 (3.8843) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 58.3333 (58.3333) + +2023-08-05 12:47:28,477 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.347) Loss: 3.5270 (3.9414) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (23.9000)Acc@5: 67.5000 (60.4500) + +2023-08-05 12:47:34,898 - train: [ INFO] - Train: 182 [ 0/41 ( 0%)] Loss: 0.462671 (0.4627) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.224s, 22.97/s (5.224s, 22.97/s) LR: 2.143e-05 P_Replacement: 0.7535710000000001 + +2023-08-05 12:48:00,532 - train: [ INFO] - Train: 182 [ 40/41 (100%)] Loss: 0.581753 (0.4916) Acc@1: 99.1667 (99.8374) Acc@5: 100.0000 (100.0000) Time: 0.651s, 184.27/s (0.753s, 159.45/s) LR: 2.143e-05 P_Replacement: 0.7657546139928325 + +2023-08-05 12:48:04,316 - train: [ INFO] - Test: [ 0/16] Time: 2.740 (2.740) Loss: 3.8163 (3.8163) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 58.3333 (58.3333) + +2023-08-05 12:48:07,522 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.350) Loss: 3.7355 (3.6183) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5500)Acc@5: 52.5000 (62.4500) + +2023-08-05 12:48:08,912 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-lr_0.005-m_-1.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-182.pth.tar', 27.55000141143799) + +2023-08-05 12:48:14,220 - train: [ INFO] - Train: 183 [ 0/41 ( 0%)] Loss: 0.406333 (0.4063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.288s, 22.69/s (5.288s, 22.69/s) LR: 2.021e-05 P_Replacement: 0.7660608750000001 + +2023-08-05 12:48:39,939 - train: [ INFO] - Train: 183 [ 40/41 (100%)] Loss: 0.564874 (0.4765) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.657s, 182.73/s (0.756s, 158.69/s) LR: 2.021e-05 P_Replacement: 0.7783783825085969 + +2023-08-05 12:48:43,726 - train: [ INFO] - Test: [ 0/16] Time: 2.707 (2.707) Loss: 3.5144 (3.5144) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 65.0000 (65.0000) + +2023-08-05 12:48:46,910 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.347) Loss: 3.5680 (3.6334) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (26.1500)Acc@5: 63.7500 (61.0000) + +2023-08-05 12:48:53,238 - train: [ INFO] - Train: 184 [ 0/41 ( 0%)] Loss: 0.506766 (0.5068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.184s, 23.15/s (5.184s, 23.15/s) LR: 1.905e-05 P_Replacement: 0.778688 + +2023-08-05 12:49:18,837 - train: [ INFO] - Train: 184 [ 40/41 (100%)] Loss: 0.517954 (0.4856) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.635s, 189.07/s (0.751s, 159.83/s) LR: 1.905e-05 P_Replacement: 0.7911401327316784 + +2023-08-05 12:49:22,671 - train: [ INFO] - Test: [ 0/16] Time: 2.743 (2.743) Loss: 3.2493 (3.2493) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 64.1667 (64.1667) + +2023-08-05 12:49:25,874 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.350) Loss: 3.7467 (3.6549) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (25.5500)Acc@5: 60.0000 (61.8000) + +2023-08-05 12:49:32,535 - train: [ INFO] - Train: 185 [ 0/41 ( 0%)] Loss: 0.521454 (0.5215) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.306s, 22.61/s (5.306s, 22.61/s) LR: 1.796e-05 P_Replacement: 0.7914531250000001 + +2023-08-05 12:49:58,082 - train: [ INFO] - Train: 185 [ 40/41 (100%)] Loss: 0.538759 (0.4798) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.642s, 186.91/s (0.752s, 159.47/s) LR: 1.796e-05 P_Replacement: 0.804040614662077 + +2023-08-05 12:50:01,970 - train: [ INFO] - Test: [ 0/16] Time: 2.662 (2.662) Loss: 3.5119 (3.5119) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 64.1667 (64.1667) + +2023-08-05 12:50:05,171 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.345) Loss: 3.1904 (3.6861) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (26.1500)Acc@5: 72.5000 (61.4000) + +2023-08-05 12:50:11,798 - train: [ INFO] - Train: 186 [ 0/41 ( 0%)] Loss: 0.465328 (0.4653) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.217s, 23.00/s (5.217s, 23.00/s) LR: 1.694e-05 P_Replacement: 0.8043570000000001 + +2023-08-05 12:50:37,401 - train: [ INFO] - Train: 186 [ 40/41 (100%)] Loss: 0.423435 (0.4768) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.644s, 186.37/s (0.752s, 159.64/s) LR: 1.694e-05 P_Replacement: 0.8170805782997926 + +2023-08-05 12:50:41,119 - train: [ INFO] - Test: [ 0/16] Time: 2.701 (2.701) Loss: 3.7342 (3.7342) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 63.3333 (63.3333) + +2023-08-05 12:50:44,340 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.348) Loss: 3.6422 (3.6363) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (26.3000)Acc@5: 67.5000 (61.2500) + +2023-08-05 12:50:51,036 - train: [ INFO] - Train: 187 [ 0/41 ( 0%)] Loss: 0.485968 (0.4860) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 5.247s, 22.87/s (5.247s, 22.87/s) LR: 1.598e-05 P_Replacement: 0.8174003750000002 + +2023-08-05 12:51:16,690 - train: [ INFO] - Train: 187 [ 40/41 (100%)] Loss: 0.701450 (0.4840) Acc@1: 100.0000 (99.8781) Acc@5: 100.0000 (100.0000) Time: 0.648s, 185.29/s (0.754s, 159.23/s) LR: 1.598e-05 P_Replacement: 0.8302607736448251 + +2023-08-05 12:51:20,422 - train: [ INFO] - Test: [ 0/16] Time: 2.685 (2.685) Loss: 3.7840 (3.7840) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 59.1667 (59.1667) + +2023-08-05 12:51:23,581 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.344) Loss: 3.6449 (3.6559) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (26.1000)Acc@5: 63.7500 (61.4500) + +2023-08-05 12:51:30,158 - train: [ INFO] - Train: 188 [ 0/41 ( 0%)] Loss: 0.394322 (0.3943) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.181s, 23.16/s (5.181s, 23.16/s) LR: 1.510e-05 P_Replacement: 0.8305839999999999 + +2023-08-05 12:51:55,814 - train: [ INFO] - Train: 188 [ 40/41 (100%)] Loss: 0.502349 (0.4859) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.646s, 185.87/s (0.752s, 159.56/s) LR: 1.510e-05 P_Replacement: 0.8435819506971749 + +2023-08-05 12:51:59,498 - train: [ INFO] - Test: [ 0/16] Time: 2.654 (2.654) Loss: 4.1755 (4.1755) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 60.0000 (60.0000) + +2023-08-05 12:52:02,683 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.343) Loss: 3.6737 (3.6585) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (24.7500)Acc@5: 62.5000 (62.0000) + +2023-08-05 12:52:09,457 - train: [ INFO] - Train: 189 [ 0/41 ( 0%)] Loss: 0.549899 (0.5499) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.377s, 22.32/s (5.377s, 22.32/s) LR: 1.429e-05 P_Replacement: 0.8439086249999999 + +2023-08-05 12:52:35,109 - train: [ INFO] - Train: 189 [ 40/41 (100%)] Loss: 0.489581 (0.4821) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.650s, 184.75/s (0.757s, 158.57/s) LR: 1.429e-05 P_Replacement: 0.8570448594568417 + +2023-08-05 12:52:39,075 - train: [ INFO] - Test: [ 0/16] Time: 2.704 (2.704) Loss: 3.5974 (3.5974) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 62.5000 (62.5000) + +2023-08-05 12:52:42,267 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.347) Loss: 3.2501 (3.6963) cLoss: 0.0000 (0.0000) Acc@1: 35.0000 (24.7500)Acc@5: 71.2500 (61.9000) + +2023-08-05 12:52:48,456 - train: [ INFO] - Train: 190 [ 0/41 ( 0%)] Loss: 0.528334 (0.5283) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.130s, 23.39/s (5.130s, 23.39/s) LR: 1.355e-05 P_Replacement: 0.8573749999999999 + +2023-08-05 12:53:14,106 - train: [ INFO] - Train: 190 [ 40/41 (100%)] Loss: 0.590468 (0.4977) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.633s, 189.45/s (0.751s, 159.85/s) LR: 1.355e-05 P_Replacement: 0.8706502499238257 + +2023-08-05 12:53:18,051 - train: [ INFO] - Test: [ 0/16] Time: 2.715 (2.715) Loss: 3.6471 (3.6471) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 63.3333 (63.3333) + +2023-08-05 12:53:21,253 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.348) Loss: 3.5852 (3.7331) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (24.3000)Acc@5: 61.2500 (60.6000) + +2023-08-05 12:53:27,939 - train: [ INFO] - Train: 191 [ 0/41 ( 0%)] Loss: 0.447995 (0.4480) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.310s, 22.60/s (5.310s, 22.60/s) LR: 1.287e-05 P_Replacement: 0.8709838749999999 + +2023-08-05 12:53:53,680 - train: [ INFO] - Train: 191 [ 40/41 (100%)] Loss: 0.507242 (0.4916) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.649s, 184.97/s (0.757s, 158.46/s) LR: 1.287e-05 P_Replacement: 0.8843988720981267 + +2023-08-05 12:53:57,428 - train: [ INFO] - Test: [ 0/16] Time: 2.692 (2.692) Loss: 3.4248 (3.4248) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 68.3333 (68.3333) + +2023-08-05 12:54:00,621 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.346) Loss: 2.9642 (3.6095) cLoss: 0.0000 (0.0000) Acc@1: 36.2500 (26.2500)Acc@5: 71.2500 (61.9000) + +2023-08-05 12:54:07,272 - train: [ INFO] - Train: 192 [ 0/41 ( 0%)] Loss: 0.548214 (0.5482) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.331s, 22.51/s (5.331s, 22.51/s) LR: 1.227e-05 P_Replacement: 0.8847359999999999 + +2023-08-05 12:54:33,010 - train: [ INFO] - Train: 192 [ 40/41 (100%)] Loss: 0.391486 (0.4881) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.648s, 185.13/s (0.758s, 158.36/s) LR: 1.227e-05 P_Replacement: 0.8982914759797448 + +2023-08-05 12:54:36,751 - train: [ INFO] - Test: [ 0/16] Time: 2.693 (2.693) Loss: 3.4350 (3.4350) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (32.5000)Acc@5: 55.8333 (55.8333) + +2023-08-05 12:54:39,917 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.345) Loss: 3.6225 (3.6031) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (26.1000)Acc@5: 63.7500 (62.4500) + +2023-08-05 12:54:46,208 - train: [ INFO] - Train: 193 [ 0/41 ( 0%)] Loss: 0.643741 (0.6437) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.260s, 22.82/s (5.260s, 22.82/s) LR: 1.174e-05 P_Replacement: 0.8986321249999999 + +2023-08-05 12:55:11,767 - train: [ INFO] - Train: 193 [ 40/41 (100%)] Loss: 0.481814 (0.5148) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.639s, 187.83/s (0.752s, 159.65/s) LR: 1.174e-05 P_Replacement: 0.91232881156868 + +2023-08-05 12:55:15,411 - train: [ INFO] - Test: [ 0/16] Time: 2.653 (2.653) Loss: 3.3404 (3.3404) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 65.0000 (65.0000) + +2023-08-05 12:55:18,605 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.344) Loss: 3.4497 (3.6304) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (25.7500)Acc@5: 63.7500 (62.7000) + +2023-08-05 12:55:24,922 - train: [ INFO] - Train: 194 [ 0/41 ( 0%)] Loss: 0.581660 (0.5817) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.230s, 22.94/s (5.230s, 22.94/s) LR: 1.128e-05 P_Replacement: 0.912673 + +2023-08-05 12:55:50,599 - train: [ INFO] - Train: 194 [ 40/41 (100%)] Loss: 0.539892 (0.5052) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.651s, 184.27/s (0.754s, 159.19/s) LR: 1.128e-05 P_Replacement: 0.9265116288649322 + +2023-08-05 12:55:54,396 - train: [ INFO] - Test: [ 0/16] Time: 2.645 (2.645) Loss: 3.5198 (3.5198) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 64.1667 (64.1667) + +2023-08-05 12:55:57,586 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.343) Loss: 3.6207 (3.7053) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (24.7000)Acc@5: 62.5000 (61.9500) + +2023-08-05 12:56:04,014 - train: [ INFO] - Train: 195 [ 0/41 ( 0%)] Loss: 0.519935 (0.5199) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.340s, 22.47/s (5.340s, 22.47/s) LR: 1.089e-05 P_Replacement: 0.9268593749999999 + +2023-08-05 12:56:29,671 - train: [ INFO] - Train: 195 [ 40/41 (100%)] Loss: 0.488514 (0.5056) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.646s, 185.82/s (0.756s, 158.74/s) LR: 1.089e-05 P_Replacement: 0.9408406778685016 + +2023-08-05 12:56:33,457 - train: [ INFO] - Test: [ 0/16] Time: 2.681 (2.681) Loss: 3.8246 (3.8246) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 61.6667 (61.6667) + +2023-08-05 12:56:36,661 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.346) Loss: 4.0123 (3.6402) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (25.6500)Acc@5: 56.2500 (62.2500) + +2023-08-05 12:56:43,223 - train: [ INFO] - Train: 196 [ 0/41 ( 0%)] Loss: 0.542264 (0.5423) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.168s, 23.22/s (5.168s, 23.22/s) LR: 1.057e-05 P_Replacement: 0.9411919999999999 + +2023-08-05 12:57:08,856 - train: [ INFO] - Train: 196 [ 40/41 (100%)] Loss: 0.368578 (0.4620) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.646s, 185.71/s (0.751s, 159.74/s) LR: 1.057e-05 P_Replacement: 0.955316708579388 + +2023-08-05 12:57:12,641 - train: [ INFO] - Test: [ 0/16] Time: 2.711 (2.711) Loss: 3.8346 (3.8346) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 56.6667 (56.6667) + +2023-08-05 12:57:15,816 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.346) Loss: 3.6298 (3.6254) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (25.3000)Acc@5: 56.2500 (61.4000) + +2023-08-05 12:57:22,339 - train: [ INFO] - Train: 197 [ 0/41 ( 0%)] Loss: 0.445568 (0.4456) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.216s, 23.01/s (5.216s, 23.01/s) LR: 1.032e-05 P_Replacement: 0.9556716249999999 + +2023-08-05 12:57:47,945 - train: [ INFO] - Train: 197 [ 40/41 (100%)] Loss: 0.497314 (0.4337) Acc@1: 99.1667 (99.8171) Acc@5: 100.0000 (100.0000) Time: 0.638s, 188.03/s (0.752s, 159.64/s) LR: 1.032e-05 P_Replacement: 0.9699404709975914 + +2023-08-05 12:57:51,872 - train: [ INFO] - Test: [ 0/16] Time: 2.660 (2.660) Loss: 3.4969 (3.4969) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 61.6667 (61.6667) + +2023-08-05 12:57:55,071 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.345) Loss: 3.6011 (3.7296) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (25.7500)Acc@5: 66.2500 (61.9000) + +2023-08-05 12:58:01,216 - train: [ INFO] - Train: 198 [ 0/41 ( 0%)] Loss: 0.480572 (0.4806) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 5.118s, 23.45/s (5.118s, 23.45/s) LR: 1.014e-05 P_Replacement: 0.970299 + +2023-08-05 12:58:26,881 - train: [ INFO] - Train: 198 [ 40/41 (100%)] Loss: 0.456309 (0.3987) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.639s, 187.76/s (0.751s, 159.84/s) LR: 1.014e-05 P_Replacement: 0.984712715123112 + +2023-08-05 12:58:30,700 - train: [ INFO] - Test: [ 0/16] Time: 2.725 (2.725) Loss: 3.6311 (3.6311) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 65.8333 (65.8333) + +2023-08-05 12:58:33,869 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.347) Loss: 3.4650 (3.8461) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (23.6500)Acc@5: 66.2500 (60.6000) + +2023-08-05 12:58:40,542 - train: [ INFO] - Train: 199 [ 0/41 ( 0%)] Loss: 0.375691 (0.3757) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 5.311s, 22.60/s (5.311s, 22.60/s) LR: 1.004e-05 P_Replacement: 0.985074875 + +2023-08-05 12:59:06,205 - train: [ INFO] - Train: 199 [ 40/41 (100%)] Loss: 0.368645 (0.3733) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.647s, 185.34/s (0.755s, 158.85/s) LR: 1.004e-05 P_Replacement: 0.9996341909559495 + +2023-08-05 12:59:09,850 - train: [ INFO] - Test: [ 0/16] Time: 2.641 (2.641) Loss: 3.8186 (3.8186) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 60.8333 (60.8333) + +2023-08-05 12:59:13,056 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.344) Loss: 3.6548 (3.8861) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (23.5000)Acc@5: 68.7500 (60.6000) + +2023-08-05 12:59:14,429 - train: [ INFO] - *** Best metric: 27.55000141143799 (epoch 182) diff --git a/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/model_best.pth.tar 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b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/summary.csv new file mode 100644 index 0000000000000000000000000000000000000000..bcb7daaa104f25e966a3296b2b5dd313339ac7f6 --- /dev/null +++ b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/summary.csv @@ -0,0 +1,201 @@ +epoch,train_loss,train_domainLoss,train_rgbLoss,train_dvsLoss,eval_loss,eval_top1 +0,5.994456488911698,0.34885074234590296,2.999526727490309,2.9949296974554294,2.99891628742218,4.150000228881836 +1,5.9436489198266,0.779491110545833,2.9988881029733796,2.9447608110381336,3.1206627702713012,4.450000264644623 +2,5.920815281751679,0.9244989040421276,2.9983663384507344,2.922448949116032,2.9739705753326415,6.700000324249268 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new file mode 100644 index 0000000000000000000000000000000000000000..fabd8ea2b158d05262dc19d415d3317368ce0ac3 --- /dev/null +++ b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/args.yaml @@ -0,0 +1,148 @@ +DVS_DA: true +TET_loss: true +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptive_node: false +amp: false +apex_amp: false +aug_splits: 0 +batch_size: 120 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cut_mix: false +cutmix: 1.0 +cutmix_beta: 1.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +decay_epochs: 30 +decay_rate: 0.1 +device: 3 +dist_bn: '' +domain_loss: true +domain_loss_coefficient: 0.5 +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +encode: direct +epochs: 200 +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: '' +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: 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 +min_lr: 1.0e-05 +mix_up: false +mixup: 0.8 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 1.0 +mixup_switch_prob: 0.5 +model: Transfer_ResNet18 +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_groups: 1 +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +no_sliding_training: true +no_use_hsv: false +node_resume: '' +node_trainable: false +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 20 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: /home/hexiang/DomainAdaptation_DVS/Results2/ +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +regularization: true +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +rgbdata_ratio: 1.0 +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 90210 +sigmoid_thres: false +smoothing: 0.0 +snr: 0 +source_dataset: RGBCEPDVS +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 6 +suffix: '' +sync_bn: false +target_dataset: CEPDVS +tau: 2.0 +temporal_flatten: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.5 +traindata_ratio: 1.0 +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: 0.01 +workers: 8 diff --git a/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/log.txt b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..88bccf1e30c438d45f2f5b9ec127ebfaeb5e835f --- /dev/null +++ b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/log.txt @@ -0,0 +1,1657 @@ +2023-08-10 23:46:18,252 - train: [ INFO] - Training with a single process on 1 GPUs. +2023-08-10 23:46:18,393 - train: [ INFO] - learning rate is 0.000586 +2023-08-10 23:46:18,394 - train: [ INFO] - Model Transfer_ResNet18 created, param count: 11187924 +2023-08-10 23:46:24,446 - train: [ INFO] - AMP not enabled. Training in float32. +2023-08-10 23:46:24,446 - train: [ INFO] - Scheduled epochs: 210 +2023-08-10 23:47:11,730 - train: [ INFO] - Train: 0 [ 0/41 ( 0%)] Loss: 3.798023 (3.7980) Acc@1: 7.5000 ( 7.5000) Acc@5: 21.6667 (21.6667) Time: 19.205s, 6.25/s LR: 1.000e-06 P_Replacement: 0.0 + +2023-08-10 23:47:37,471 - train: [ INFO] - Train: 0 [ 40/41 (100%)] Loss: 3.807017 (3.8024) Acc@1: 6.6667 ( 5.8130) Acc@5: 22.5000 (26.5244) Time: 1.096s, 109.47/s LR: 1.000e-06 P_Replacement: 0.0 + +2023-08-10 23:47:40,413 - train: [ INFO] - Test: [ 0/16] Time: 1.944 (1.944) Loss: 2.9991 (2.9991) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 28.3333 (28.3333) + +2023-08-10 23:47:43,974 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.324) Loss: 3.0043 (2.9987) cLoss: 0.0000 (0.0000) Acc@1: 2.5000 ( 5.4000)Acc@5: 21.2500 (24.7500) + +2023-08-10 23:47:45,246 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-0.pth.tar', 5.4000003099441525) + +2023-08-10 23:47:49,047 - train: [ INFO] - Train: 1 [ 0/41 ( 0%)] Loss: 3.795906 (3.7959) Acc@1: 3.3333 ( 3.3333) Acc@5: 25.8333 (25.8333) Time: 3.800s, 31.58/s LR: 1.180e-04 P_Replacement: 0.0 + +2023-08-10 23:48:14,751 - train: [ INFO] - Train: 1 [ 40/41 (100%)] Loss: 3.792251 (3.7909) Acc@1: 5.0000 ( 8.1098) Acc@5: 32.5000 (30.6504) Time: 0.720s, 166.78/s LR: 1.180e-04 P_Replacement: 0.0 + +2023-08-10 23:48:17,495 - train: [ INFO] - Test: [ 0/16] Time: 1.793 (1.793) Loss: 3.0341 (3.0341) cLoss: 0.0000 (0.0000) Acc@1: 4.1667 ( 4.1667)Acc@5: 26.6667 (26.6667) + +2023-08-10 23:48:20,576 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.287) Loss: 2.9898 (3.0502) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 4.4500)Acc@5: 31.2500 (24.1500) + +2023-08-10 23:48:25,775 - train: [ INFO] - Train: 2 [ 0/41 ( 0%)] Loss: 3.806903 (3.8069) Acc@1: 7.5000 ( 7.5000) Acc@5: 31.6667 (31.6667) Time: 3.936s, 30.49/s LR: 2.350e-04 P_Replacement: 0.0 + +2023-08-10 23:48:50,899 - train: [ INFO] - Train: 2 [ 40/41 (100%)] Loss: 3.776529 (3.7786) Acc@1: 8.3333 ( 9.4512) Acc@5: 35.8333 (35.5285) Time: 0.709s, 169.32/s LR: 2.350e-04 P_Replacement: 0.0 + +2023-08-10 23:48:54,054 - train: [ INFO] - Test: [ 0/16] Time: 1.975 (1.975) Loss: 3.0133 (3.0133) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 29.1667 (29.1667) + +2023-08-10 23:48:57,288 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.306) Loss: 3.0107 (3.0353) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 4.6500)Acc@5: 26.2500 (24.4000) + +2023-08-10 23:49:02,084 - train: [ INFO] - Train: 3 [ 0/41 ( 0%)] Loss: 3.739068 (3.7391) Acc@1: 13.3333 (13.3333) Acc@5: 48.3333 (48.3333) Time: 3.662s, 32.77/s LR: 3.520e-04 P_Replacement: 0.0 + +2023-08-10 23:49:27,665 - train: [ INFO] - Train: 3 [ 40/41 (100%)] Loss: 3.792867 (3.7718) Acc@1: 10.0000 ( 9.8577) Acc@5: 36.6667 (36.3415) Time: 0.713s, 168.26/s LR: 3.520e-04 P_Replacement: 0.0 + +2023-08-10 23:49:30,441 - train: [ INFO] - Test: [ 0/16] Time: 1.779 (1.779) Loss: 2.9794 (2.9794) cLoss: 0.0000 (0.0000) Acc@1: 3.3333 ( 3.3333)Acc@5: 33.3333 (33.3333) + +2023-08-10 23:49:33,831 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.304) Loss: 3.0232 (2.9959) cLoss: 0.0000 (0.0000) Acc@1: 1.2500 ( 6.0000)Acc@5: 17.5000 (27.6000) + +2023-08-10 23:49:35,041 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-3.pth.tar', 6.00000036239624) + +2023-08-10 23:49:38,574 - train: [ INFO] - Train: 4 [ 0/41 ( 0%)] Loss: 3.798121 (3.7981) Acc@1: 4.1667 ( 4.1667) Acc@5: 30.8333 (30.8333) Time: 3.513s, 34.16/s LR: 4.689e-04 P_Replacement: 0.0 + +2023-08-10 23:50:04,052 - train: [ INFO] - Train: 4 [ 40/41 (100%)] Loss: 3.754056 (3.7652) Acc@1: 5.0000 ( 9.2683) Acc@5: 37.5000 (36.2805) Time: 0.707s, 169.72/s LR: 4.689e-04 P_Replacement: 0.0 + +2023-08-10 23:50:06,805 - train: [ INFO] - Test: [ 0/16] Time: 1.842 (1.842) Loss: 3.0615 (3.0615) cLoss: 0.0000 (0.0000) Acc@1: 0.8333 ( 0.8333)Acc@5: 21.6667 (21.6667) + +2023-08-10 23:50:09,958 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.294) Loss: 3.0457 (3.0076) cLoss: 0.0000 (0.0000) Acc@1: 2.5000 ( 5.4500)Acc@5: 20.0000 (27.2500) + +2023-08-10 23:50:15,024 - train: [ INFO] - Train: 5 [ 0/41 ( 0%)] Loss: 3.755586 (3.7556) Acc@1: 16.6667 (16.6667) Acc@5: 40.8333 (40.8333) Time: 3.990s, 30.07/s LR: 5.850e-04 P_Replacement: 0.0 + +2023-08-10 23:50:40,453 - train: [ INFO] - Train: 5 [ 40/41 (100%)] Loss: 3.731034 (3.7381) Acc@1: 9.1667 (10.4675) Acc@5: 40.0000 (37.7642) Time: 0.717s, 167.25/s LR: 5.850e-04 P_Replacement: 0.0 + +2023-08-10 23:50:43,676 - train: [ INFO] - Test: [ 0/16] Time: 2.233 (2.233) Loss: 2.9407 (2.9407) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 41.6667 (41.6667) + +2023-08-10 23:50:46,806 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.315) Loss: 2.9655 (2.9435) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 9.0500)Acc@5: 28.7500 (36.5500) + +2023-08-10 23:50:47,897 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-5.pth.tar', 9.050000457763671) + +2023-08-10 23:50:51,321 - train: [ INFO] - Train: 6 [ 0/41 ( 0%)] Loss: 3.734600 (3.7346) Acc@1: 9.1667 ( 9.1667) Acc@5: 32.5000 (32.5000) Time: 3.405s, 35.24/s LR: 5.847e-04 P_Replacement: 0.0 + +2023-08-10 23:51:16,825 - train: [ INFO] - Train: 6 [ 40/41 (100%)] Loss: 3.725964 (3.7078) Acc@1: 9.1667 (11.2195) Acc@5: 36.6667 (39.7154) Time: 0.705s, 170.21/s LR: 5.847e-04 P_Replacement: 0.0 + +2023-08-10 23:51:19,761 - train: [ INFO] - Test: [ 0/16] Time: 1.849 (1.849) Loss: 2.9670 (2.9670) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 32.5000 (32.5000) + +2023-08-10 23:51:23,277 - train: [ INFO] - Test: [ 16/16] Time: 0.226 (0.316) Loss: 2.9554 (2.9528) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 8.0500)Acc@5: 38.7500 (34.0000) + +2023-08-10 23:51:27,729 - train: [ INFO] - Train: 7 [ 0/41 ( 0%)] Loss: 3.707846 (3.7078) Acc@1: 8.3333 ( 8.3333) Acc@5: 42.5000 (42.5000) Time: 3.368s, 35.63/s LR: 5.842e-04 P_Replacement: 0.0 + +2023-08-10 23:51:53,284 - train: [ INFO] - Train: 7 [ 40/41 (100%)] Loss: 3.644032 (3.6778) Acc@1: 12.5000 (11.8902) Acc@5: 40.0000 (41.9512) Time: 0.705s, 170.14/s LR: 5.842e-04 P_Replacement: 0.0 + +2023-08-10 23:51:56,227 - train: [ INFO] - Test: [ 0/16] Time: 1.827 (1.827) Loss: 2.9348 (2.9348) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 34.1667 (34.1667) + +2023-08-10 23:51:59,376 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.293) Loss: 2.9614 (2.9905) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 6.2000)Acc@5: 32.5000 (31.8000) + +2023-08-10 23:52:04,375 - train: [ INFO] - Train: 8 [ 0/41 ( 0%)] Loss: 3.679917 (3.6799) Acc@1: 14.1667 (14.1667) Acc@5: 50.0000 (50.0000) Time: 3.784s, 31.71/s LR: 5.837e-04 P_Replacement: 0.0 + +2023-08-10 23:52:29,756 - train: [ INFO] - Train: 8 [ 40/41 (100%)] Loss: 3.612871 (3.6357) Acc@1: 15.8333 (12.6016) Acc@5: 48.3333 (43.5366) Time: 0.711s, 168.71/s LR: 5.837e-04 P_Replacement: 0.0 + +2023-08-10 23:52:33,007 - train: [ INFO] - Test: [ 0/16] Time: 2.168 (2.168) Loss: 2.9126 (2.9126) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 38.3333 (38.3333) + +2023-08-10 23:52:36,300 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.321) Loss: 2.9800 (2.9371) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 9.6500)Acc@5: 33.7500 (37.3500) + +2023-08-10 23:52:37,519 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-8.pth.tar', 9.65000051498413) + +2023-08-10 23:52:40,910 - train: [ INFO] - Train: 9 [ 0/41 ( 0%)] Loss: 3.612138 (3.6121) Acc@1: 15.0000 (15.0000) Acc@5: 50.0000 (50.0000) Time: 3.373s, 35.58/s LR: 5.831e-04 P_Replacement: 0.0 + +2023-08-10 23:53:05,963 - train: [ INFO] - Train: 9 [ 40/41 (100%)] Loss: 3.490374 (3.6045) Acc@1: 20.8333 (13.3537) Acc@5: 59.1667 (44.8781) Time: 0.693s, 173.09/s LR: 5.831e-04 P_Replacement: 0.0 + +2023-08-10 23:53:08,767 - train: [ INFO] - Test: [ 0/16] Time: 1.758 (1.758) Loss: 2.8506 (2.8506) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 40.8333 (40.8333) + +2023-08-10 23:53:11,912 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.288) Loss: 2.7879 (2.9000) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (11.8000)Acc@5: 42.5000 (39.9000) + +2023-08-10 23:53:13,237 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-9.pth.tar', 11.800000610351562) + +2023-08-10 23:53:16,773 - train: [ INFO] - Train: 10 [ 0/41 ( 0%)] Loss: 3.507889 (3.5079) Acc@1: 23.3333 (23.3333) Acc@5: 48.3333 (48.3333) Time: 3.519s, 34.10/s LR: 5.824e-04 P_Replacement: 0.0 + +2023-08-10 23:53:41,757 - train: [ INFO] - Train: 10 [ 40/41 (100%)] Loss: 3.497442 (3.5330) Acc@1: 19.1667 (14.7764) Acc@5: 49.1667 (47.2968) Time: 0.695s, 172.63/s LR: 5.824e-04 P_Replacement: 0.0 + +2023-08-10 23:53:44,897 - train: [ INFO] - Test: [ 0/16] Time: 2.188 (2.188) Loss: 2.9205 (2.9205) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 43.3333 (43.3333) + +2023-08-10 23:53:48,132 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.319) Loss: 3.0046 (2.9488) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 ( 9.6000)Acc@5: 33.7500 (35.6500) + +2023-08-10 23:53:52,845 - train: [ INFO] - Train: 11 [ 0/41 ( 0%)] Loss: 3.427989 (3.4280) Acc@1: 17.5000 (17.5000) Acc@5: 62.5000 (62.5000) Time: 3.400s, 35.30/s LR: 5.816e-04 P_Replacement: 0.0 + +2023-08-10 23:54:18,333 - train: [ INFO] - Train: 11 [ 40/41 (100%)] Loss: 3.379580 (3.4516) Acc@1: 19.1667 (15.1016) Acc@5: 55.8333 (47.9472) Time: 0.704s, 170.35/s LR: 5.816e-04 P_Replacement: 0.0 + +2023-08-10 23:54:21,178 - train: [ INFO] - Test: [ 0/16] Time: 1.767 (1.767) Loss: 3.0516 (3.0516) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 38.3333 (38.3333) + +2023-08-10 23:54:24,612 - train: [ INFO] - Test: [ 16/16] Time: 0.184 (0.306) Loss: 2.9192 (2.9333) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (12.4500)Acc@5: 37.5000 (39.7500) + +2023-08-10 23:54:25,710 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-11.pth.tar', 12.45000057220459) + +2023-08-10 23:54:29,135 - train: [ INFO] - Train: 12 [ 0/41 ( 0%)] Loss: 3.398701 (3.3987) Acc@1: 16.6667 (16.6667) Acc@5: 43.3333 (43.3333) Time: 3.405s, 35.24/s LR: 5.808e-04 P_Replacement: 0.0 + +2023-08-10 23:54:54,511 - train: [ INFO] - Train: 12 [ 40/41 (100%)] Loss: 3.242472 (3.3374) Acc@1: 17.5000 (15.3252) Acc@5: 51.6667 (49.0041) Time: 0.702s, 170.96/s LR: 5.808e-04 P_Replacement: 0.0 + +2023-08-10 23:54:57,453 - train: [ INFO] - Test: [ 0/16] Time: 1.788 (1.788) Loss: 2.8526 (2.8526) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 41.6667 (41.6667) + +2023-08-10 23:55:00,602 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.290) Loss: 3.0041 (2.8679) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 (12.9500)Acc@5: 37.5000 (41.2500) + +2023-08-10 23:55:01,691 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-12.pth.tar', 12.950000534057617) + +2023-08-10 23:55:05,752 - train: [ INFO] - Train: 13 [ 0/41 ( 0%)] Loss: 3.421245 (3.4212) Acc@1: 10.0000 (10.0000) Acc@5: 47.5000 (47.5000) Time: 4.044s, 29.68/s LR: 5.800e-04 P_Replacement: 0.0 + +2023-08-10 23:55:31,086 - train: [ INFO] - Train: 13 [ 40/41 (100%)] Loss: 3.060618 (3.1815) Acc@1: 15.0000 (16.3008) Acc@5: 48.3333 (49.9390) Time: 0.716s, 167.49/s LR: 5.800e-04 P_Replacement: 0.0 + +2023-08-10 23:55:34,446 - train: [ INFO] - Test: [ 0/16] Time: 2.187 (2.187) Loss: 2.8538 (2.8538) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 43.3333 (43.3333) + +2023-08-10 23:55:37,764 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.324) Loss: 2.8797 (2.9161) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.9500)Acc@5: 35.0000 (40.1500) + +2023-08-10 23:55:42,438 - train: [ INFO] - Train: 14 [ 0/41 ( 0%)] Loss: 3.048427 (3.0484) Acc@1: 19.1667 (19.1667) Acc@5: 50.8333 (50.8333) Time: 3.398s, 35.31/s LR: 5.790e-04 P_Replacement: 0.0 + +2023-08-10 23:56:07,536 - train: [ INFO] - Train: 14 [ 40/41 (100%)] Loss: 2.794999 (2.9278) Acc@1: 15.8333 (16.2602) Acc@5: 42.5000 (50.1423) Time: 0.695s, 172.67/s LR: 5.790e-04 P_Replacement: 0.0 + +2023-08-10 23:56:10,428 - train: [ INFO] - Test: [ 0/16] Time: 1.833 (1.833) Loss: 2.9343 (2.9343) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 40.8333 (40.8333) + +2023-08-10 23:56:13,560 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.292) Loss: 3.0500 (2.9205) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 ( 9.5000)Acc@5: 31.2500 (39.2000) + +2023-08-10 23:56:18,297 - train: [ INFO] - Train: 15 [ 0/41 ( 0%)] Loss: 2.735977 (2.7360) Acc@1: 15.0000 (15.0000) Acc@5: 55.8333 (55.8333) Time: 3.579s, 33.53/s LR: 5.780e-04 P_Replacement: 0.0 + +2023-08-10 23:56:43,287 - train: [ INFO] - Train: 15 [ 40/41 (100%)] Loss: 2.488662 (2.6230) Acc@1: 16.6667 (15.8333) Acc@5: 56.6667 (49.2073) Time: 0.697s, 172.23/s LR: 5.780e-04 P_Replacement: 0.0 + +2023-08-10 23:56:46,378 - train: [ INFO] - Test: [ 0/16] Time: 1.931 (1.931) Loss: 2.7942 (2.7942) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 45.0000 (45.0000) + +2023-08-10 23:56:49,833 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.317) Loss: 2.8531 (2.8479) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (13.1000)Acc@5: 36.2500 (43.4000) + +2023-08-10 23:56:51,098 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-15.pth.tar', 13.10000078201294) + +2023-08-10 23:56:54,824 - train: [ INFO] - Train: 16 [ 0/41 ( 0%)] Loss: 2.440795 (2.4408) Acc@1: 15.8333 (15.8333) Acc@5: 50.0000 (50.0000) Time: 3.709s, 32.36/s LR: 5.769e-04 P_Replacement: 0.0 + +2023-08-10 23:57:20,116 - train: [ INFO] - Train: 16 [ 40/41 (100%)] Loss: 1.966233 (2.2489) Acc@1: 16.6667 (16.1179) Acc@5: 53.3333 (49.8577) Time: 0.707s, 169.66/s LR: 5.769e-04 P_Replacement: 0.0 + +2023-08-10 23:57:23,133 - train: [ INFO] - Test: [ 0/16] Time: 1.980 (1.980) Loss: 2.8252 (2.8252) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 44.1667 (44.1667) + +2023-08-10 23:57:26,717 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.327) Loss: 2.8489 (2.8637) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.2500)Acc@5: 45.0000 (42.7000) + +2023-08-10 23:57:27,849 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-16.pth.tar', 13.250000591278075) + +2023-08-10 23:57:31,313 - train: [ INFO] - Train: 17 [ 0/41 ( 0%)] Loss: 2.004150 (2.0041) Acc@1: 16.6667 (16.6667) Acc@5: 58.3333 (58.3333) Time: 3.444s, 34.85/s LR: 5.757e-04 P_Replacement: 0.0 + +2023-08-10 23:57:56,509 - train: [ INFO] - Train: 17 [ 40/41 (100%)] Loss: 1.540058 (1.8464) Acc@1: 21.6667 (16.2398) Acc@5: 51.6667 (51.4228) Time: 0.698s, 171.80/s LR: 5.757e-04 P_Replacement: 0.0 + +2023-08-10 23:57:59,404 - train: [ INFO] - Test: [ 0/16] Time: 1.818 (1.818) Loss: 2.8510 (2.8510) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 44.1667 (44.1667) + +2023-08-10 23:58:02,506 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.289) Loss: 2.7472 (2.8458) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (13.0000)Acc@5: 45.0000 (42.2500) + +2023-08-10 23:58:07,243 - train: [ INFO] - Train: 18 [ 0/41 ( 0%)] Loss: 1.462596 (1.4626) Acc@1: 13.3333 (13.3333) Acc@5: 50.0000 (50.0000) Time: 3.625s, 33.10/s LR: 5.745e-04 P_Replacement: 0.0 + +2023-08-10 23:58:32,456 - train: [ INFO] - Train: 18 [ 40/41 (100%)] Loss: 1.462369 (1.4617) Acc@1: 16.6667 (16.4228) Acc@5: 56.6667 (50.5081) Time: 0.703s, 170.62/s LR: 5.745e-04 P_Replacement: 0.0 + +2023-08-10 23:58:35,584 - train: [ INFO] - Test: [ 0/16] Time: 2.157 (2.157) Loss: 2.8333 (2.8333) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 43.3333 (43.3333) + +2023-08-10 23:58:38,965 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.326) Loss: 2.8126 (2.9032) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (12.8000)Acc@5: 42.5000 (40.5000) + +2023-08-10 23:58:43,533 - train: [ INFO] - Train: 19 [ 0/41 ( 0%)] Loss: 1.357510 (1.3575) Acc@1: 17.5000 (17.5000) Acc@5: 47.5000 (47.5000) Time: 3.449s, 34.79/s LR: 5.732e-04 P_Replacement: 0.0 + +2023-08-10 23:59:08,628 - train: [ INFO] - Train: 19 [ 40/41 (100%)] Loss: 1.300881 (1.2452) Acc@1: 13.3333 (17.4594) Acc@5: 50.8333 (51.8699) Time: 0.696s, 172.37/s LR: 5.732e-04 P_Replacement: 0.0 + +2023-08-10 23:59:11,384 - train: [ INFO] - Test: [ 0/16] Time: 1.790 (1.790) Loss: 2.8306 (2.8306) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 45.0000 (45.0000) + +2023-08-10 23:59:14,664 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.298) Loss: 2.8215 (2.8614) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (12.6500)Acc@5: 43.7500 (41.2000) + +2023-08-10 23:59:19,883 - train: [ INFO] - Train: 20 [ 0/41 ( 0%)] Loss: 1.167387 (1.1674) Acc@1: 20.8333 (20.8333) Acc@5: 60.0000 (60.0000) Time: 3.653s, 32.85/s LR: 5.718e-04 P_Replacement: 0.0 + +2023-08-10 23:59:45,015 - train: [ INFO] - Train: 20 [ 40/41 (100%)] Loss: 0.908187 (1.0048) Acc@1: 17.5000 (17.5813) Acc@5: 53.3333 (51.9715) Time: 0.702s, 170.93/s LR: 5.718e-04 P_Replacement: 0.0 + +2023-08-10 23:59:47,961 - train: [ INFO] - Test: [ 0/16] Time: 1.983 (1.983) Loss: 2.7934 (2.7934) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 41.6667 (41.6667) + +2023-08-10 23:59:51,228 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.309) Loss: 2.8722 (2.8634) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (12.6500)Acc@5: 45.0000 (41.2000) + +2023-08-10 23:59:56,266 - train: [ INFO] - Train: 21 [ 0/41 ( 0%)] Loss: 0.995482 (0.9955) Acc@1: 19.1667 (19.1667) Acc@5: 54.1667 (54.1667) Time: 3.851s, 31.16/s LR: 5.704e-04 P_Replacement: 0.0 + +2023-08-11 00:00:21,498 - train: [ INFO] - Train: 21 [ 40/41 (100%)] Loss: 0.894011 (0.8659) Acc@1: 17.5000 (17.9878) Acc@5: 56.6667 (52.6626) Time: 0.709s, 169.20/s LR: 5.704e-04 P_Replacement: 0.0 + +2023-08-11 00:00:24,419 - train: [ INFO] - Test: [ 0/16] Time: 1.870 (1.870) Loss: 2.9055 (2.9055) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 43.3333 (43.3333) + +2023-08-11 00:00:27,992 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.320) Loss: 2.9776 (2.8664) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (12.5000)Acc@5: 37.5000 (41.1500) + +2023-08-11 00:00:32,518 - train: [ INFO] - Train: 22 [ 0/41 ( 0%)] Loss: 0.725990 (0.7260) Acc@1: 19.1667 (19.1667) Acc@5: 55.0000 (55.0000) Time: 3.412s, 35.17/s LR: 5.689e-04 P_Replacement: 0.0 + +2023-08-11 00:00:57,758 - train: [ INFO] - Train: 22 [ 40/41 (100%)] Loss: 0.668871 (0.7524) Acc@1: 15.8333 (18.7805) Acc@5: 55.0000 (53.3130) Time: 0.699s, 171.73/s LR: 5.689e-04 P_Replacement: 0.0 + +2023-08-11 00:01:00,552 - train: [ INFO] - Test: [ 0/16] Time: 1.862 (1.862) Loss: 2.8146 (2.8146) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 44.1667 (44.1667) + +2023-08-11 00:01:03,718 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.296) Loss: 2.8860 (2.8235) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.9000)Acc@5: 43.7500 (44.0500) + +2023-08-11 00:01:05,041 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-22.pth.tar', 13.90000072479248) + +2023-08-11 00:01:08,964 - train: [ INFO] - Train: 23 [ 0/41 ( 0%)] Loss: 0.606615 (0.6066) Acc@1: 18.3333 (18.3333) Acc@5: 53.3333 (53.3333) Time: 3.902s, 30.75/s LR: 5.673e-04 P_Replacement: 0.0 + +2023-08-11 00:01:34,029 - train: [ INFO] - Train: 23 [ 40/41 (100%)] Loss: 0.631023 (0.6812) Acc@1: 18.3333 (18.6992) Acc@5: 55.0000 (53.1707) Time: 0.706s, 169.86/s LR: 5.673e-04 P_Replacement: 0.0 + +2023-08-11 00:01:37,431 - train: [ INFO] - Test: [ 0/16] Time: 2.367 (2.367) Loss: 2.7352 (2.7352) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 51.6667 (51.6667) + +2023-08-11 00:01:40,531 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.322) Loss: 2.7384 (2.8064) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.8000)Acc@5: 55.0000 (46.1500) + +2023-08-11 00:01:45,661 - train: [ INFO] - Train: 24 [ 0/41 ( 0%)] Loss: 0.602324 (0.6023) Acc@1: 20.0000 (20.0000) Acc@5: 54.1667 (54.1667) Time: 3.883s, 30.91/s LR: 5.657e-04 P_Replacement: 0.0 + +2023-08-11 00:02:10,563 - train: [ INFO] - Train: 24 [ 40/41 (100%)] Loss: 0.676617 (0.6281) Acc@1: 20.0000 (18.6789) Acc@5: 59.1667 (54.8781) Time: 0.702s, 170.94/s LR: 5.657e-04 P_Replacement: 0.0 + +2023-08-11 00:02:13,365 - train: [ INFO] - Test: [ 0/16] Time: 1.798 (1.798) Loss: 2.9175 (2.9175) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 39.1667 (39.1667) + +2023-08-11 00:02:16,614 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.297) Loss: 2.7582 (2.8312) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (13.4000)Acc@5: 42.5000 (44.5500) + +2023-08-11 00:02:21,389 - train: [ INFO] - Train: 25 [ 0/41 ( 0%)] Loss: 0.588238 (0.5882) Acc@1: 15.8333 (15.8333) Acc@5: 50.8333 (50.8333) Time: 3.443s, 34.85/s LR: 5.640e-04 P_Replacement: 0.0 + +2023-08-11 00:02:46,316 - train: [ INFO] - Train: 25 [ 40/41 (100%)] Loss: 0.598543 (0.5833) Acc@1: 18.3333 (19.9187) Acc@5: 56.6667 (55.3862) Time: 0.692s, 173.43/s LR: 5.640e-04 P_Replacement: 0.0 + +2023-08-11 00:02:49,231 - train: [ INFO] - Test: [ 0/16] Time: 1.933 (1.933) Loss: 2.8200 (2.8200) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 43.3333 (43.3333) + +2023-08-11 00:02:52,491 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.305) Loss: 2.8537 (2.8022) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (14.8500)Acc@5: 43.7500 (45.9000) + +2023-08-11 00:02:53,768 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-25.pth.tar', 14.850000648498535) + +2023-08-11 00:02:57,463 - train: [ INFO] - Train: 26 [ 0/41 ( 0%)] Loss: 0.576628 (0.5766) Acc@1: 12.5000 (12.5000) Acc@5: 54.1667 (54.1667) Time: 3.675s, 32.66/s LR: 5.623e-04 P_Replacement: 0.0 + +2023-08-11 00:03:22,389 - train: [ INFO] - Train: 26 [ 40/41 (100%)] Loss: 0.528629 (0.5491) Acc@1: 21.6667 (20.1829) Acc@5: 60.8333 (56.0772) Time: 0.697s, 172.05/s LR: 5.623e-04 P_Replacement: 0.0 + +2023-08-11 00:03:25,234 - train: [ INFO] - Test: [ 0/16] Time: 1.841 (1.841) Loss: 2.8810 (2.8810) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 43.3333 (43.3333) + +2023-08-11 00:03:28,730 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.314) Loss: 2.7834 (2.8071) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (14.7500)Acc@5: 51.2500 (45.6500) + +2023-08-11 00:03:33,231 - train: [ INFO] - Train: 27 [ 0/41 ( 0%)] Loss: 0.510347 (0.5103) Acc@1: 20.0000 (20.0000) Acc@5: 63.3333 (63.3333) Time: 3.336s, 35.98/s LR: 5.604e-04 P_Replacement: 0.0 + +2023-08-11 00:03:58,217 - train: [ INFO] - Train: 27 [ 40/41 (100%)] Loss: 0.516655 (0.5351) Acc@1: 23.3333 (20.8130) Acc@5: 60.8333 (56.5447) Time: 0.691s, 173.74/s LR: 5.604e-04 P_Replacement: 0.0 + +2023-08-11 00:04:01,101 - train: [ INFO] - Test: [ 0/16] Time: 1.791 (1.791) Loss: 2.7825 (2.7825) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 47.5000 (47.5000) + +2023-08-11 00:04:04,271 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.292) Loss: 2.8215 (2.8340) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (13.6000)Acc@5: 45.0000 (44.6500) + +2023-08-11 00:04:09,337 - train: [ INFO] - Train: 28 [ 0/41 ( 0%)] Loss: 0.518142 (0.5181) Acc@1: 22.5000 (22.5000) Acc@5: 62.5000 (62.5000) Time: 3.745s, 32.04/s LR: 5.585e-04 P_Replacement: 0.0 + +2023-08-11 00:04:34,311 - train: [ INFO] - Train: 28 [ 40/41 (100%)] Loss: 0.504535 (0.5199) Acc@1: 22.5000 (21.3211) Acc@5: 55.0000 (57.0325) Time: 0.700s, 171.33/s LR: 5.585e-04 P_Replacement: 0.0 + +2023-08-11 00:04:37,391 - train: [ INFO] - Test: [ 0/16] Time: 2.098 (2.098) Loss: 2.8215 (2.8215) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 47.5000 (47.5000) + +2023-08-11 00:04:40,651 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.315) Loss: 2.9324 (2.8247) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (13.7500)Acc@5: 36.2500 (46.4000) + +2023-08-11 00:04:45,369 - train: [ INFO] - Train: 29 [ 0/41 ( 0%)] Loss: 0.518607 (0.5186) Acc@1: 18.3333 (18.3333) Acc@5: 62.5000 (62.5000) Time: 3.438s, 34.91/s LR: 5.566e-04 P_Replacement: 0.0 + +2023-08-11 00:05:10,315 - train: [ INFO] - Train: 29 [ 40/41 (100%)] Loss: 0.488375 (0.4971) Acc@1: 26.6667 (21.2805) Acc@5: 65.0000 (58.8415) Time: 0.692s, 173.35/s LR: 5.566e-04 P_Replacement: 0.0 + +2023-08-11 00:05:13,117 - train: [ INFO] - Test: [ 0/16] Time: 1.776 (1.776) Loss: 2.7665 (2.7665) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 49.1667 (49.1667) + +2023-08-11 00:05:16,309 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.292) Loss: 2.7591 (2.8477) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (12.5500)Acc@5: 50.0000 (44.4000) + +2023-08-11 00:05:21,151 - train: [ INFO] - Train: 30 [ 0/41 ( 0%)] Loss: 0.485447 (0.4854) Acc@1: 25.0000 (25.0000) Acc@5: 61.6667 (61.6667) Time: 3.505s, 34.24/s LR: 5.546e-04 P_Replacement: 0.0 + +2023-08-11 00:05:46,074 - train: [ INFO] - Train: 30 [ 40/41 (100%)] Loss: 0.466795 (0.4850) Acc@1: 23.3333 (20.9553) Acc@5: 53.3333 (58.2317) Time: 0.693s, 173.08/s LR: 5.546e-04 P_Replacement: 0.0 + +2023-08-11 00:05:49,170 - train: [ INFO] - Test: [ 0/16] Time: 2.041 (2.041) Loss: 2.7302 (2.7302) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 45.0000 (45.0000) + +2023-08-11 00:05:52,263 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.302) Loss: 2.7183 (2.7876) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (14.4500)Acc@5: 52.5000 (47.6000) + +2023-08-11 00:05:57,019 - train: [ INFO] - Train: 31 [ 0/41 ( 0%)] Loss: 0.460291 (0.4603) Acc@1: 23.3333 (23.3333) Acc@5: 62.5000 (62.5000) Time: 3.430s, 34.98/s LR: 5.525e-04 P_Replacement: 0.0 + +2023-08-11 00:06:21,908 - train: [ INFO] - Train: 31 [ 40/41 (100%)] Loss: 0.485640 (0.4812) Acc@1: 15.0000 (21.6870) Acc@5: 50.0000 (59.0447) Time: 0.691s, 173.74/s LR: 5.525e-04 P_Replacement: 0.0 + +2023-08-11 00:06:24,725 - train: [ INFO] - Test: [ 0/16] Time: 1.829 (1.829) Loss: 2.7025 (2.7025) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 54.1667 (54.1667) + +2023-08-11 00:06:28,103 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.306) Loss: 2.9646 (2.8717) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 (12.6000)Acc@5: 36.2500 (43.9500) + +2023-08-11 00:06:32,782 - train: [ INFO] - Train: 32 [ 0/41 ( 0%)] Loss: 0.478968 (0.4790) Acc@1: 26.6667 (26.6667) Acc@5: 64.1667 (64.1667) Time: 3.355s, 35.76/s LR: 5.503e-04 P_Replacement: 0.0 + +2023-08-11 00:06:57,838 - train: [ INFO] - Train: 32 [ 40/41 (100%)] Loss: 0.493136 (0.4695) Acc@1: 17.5000 (22.5610) Acc@5: 49.1667 (59.3293) Time: 0.693s, 173.18/s LR: 5.503e-04 P_Replacement: 0.0 + +2023-08-11 00:07:00,663 - train: [ INFO] - Test: [ 0/16] Time: 1.804 (1.804) Loss: 2.7521 (2.7521) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 52.5000 (52.5000) + +2023-08-11 00:07:03,881 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.295) Loss: 2.7959 (2.7866) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (15.6000)Acc@5: 50.0000 (47.6000) + +2023-08-11 00:07:05,208 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-32.pth.tar', 15.600000648498535) + +2023-08-11 00:07:08,935 - train: [ INFO] - Train: 33 [ 0/41 ( 0%)] Loss: 0.464181 (0.4642) Acc@1: 20.8333 (20.8333) Acc@5: 60.0000 (60.0000) Time: 3.709s, 32.35/s LR: 5.481e-04 P_Replacement: 0.0 + +2023-08-11 00:07:33,851 - train: [ INFO] - Train: 33 [ 40/41 (100%)] Loss: 0.440314 (0.4545) Acc@1: 22.5000 (22.7033) Acc@5: 60.8333 (60.3659) Time: 0.698s, 171.89/s LR: 5.481e-04 P_Replacement: 0.0 + +2023-08-11 00:07:36,758 - train: [ INFO] - Test: [ 0/16] Time: 1.781 (1.781) Loss: 2.8897 (2.8897) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 44.1667 (44.1667) + +2023-08-11 00:07:40,107 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.302) Loss: 2.7519 (2.8968) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (12.4500)Acc@5: 51.2500 (44.2000) + +2023-08-11 00:07:44,713 - train: [ INFO] - Train: 34 [ 0/41 ( 0%)] Loss: 0.446818 (0.4468) Acc@1: 20.8333 (20.8333) Acc@5: 56.6667 (56.6667) Time: 3.328s, 36.06/s LR: 5.458e-04 P_Replacement: 0.0 + +2023-08-11 00:08:09,602 - train: [ INFO] - Train: 34 [ 40/41 (100%)] Loss: 0.435142 (0.4443) Acc@1: 19.1667 (22.6829) Acc@5: 56.6667 (60.3659) Time: 0.688s, 174.38/s LR: 5.458e-04 P_Replacement: 0.0 + +2023-08-11 00:08:12,448 - train: [ INFO] - Test: [ 0/16] Time: 1.834 (1.834) Loss: 2.7882 (2.7882) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 45.8333 (45.8333) + +2023-08-11 00:08:15,623 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.295) Loss: 2.7829 (2.7965) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (14.9500)Acc@5: 51.2500 (47.7000) + +2023-08-11 00:08:20,641 - train: [ INFO] - Train: 35 [ 0/41 ( 0%)] Loss: 0.448002 (0.4480) Acc@1: 20.8333 (20.8333) Acc@5: 58.3333 (58.3333) Time: 3.755s, 31.96/s LR: 5.435e-04 P_Replacement: 0.0 + +2023-08-11 00:08:45,708 - train: [ INFO] - Train: 35 [ 40/41 (100%)] Loss: 0.425478 (0.4372) Acc@1: 23.3333 (24.0244) Acc@5: 65.0000 (61.8089) Time: 0.703s, 170.72/s LR: 5.435e-04 P_Replacement: 0.0 + +2023-08-11 00:08:48,774 - train: [ INFO] - Test: [ 0/16] Time: 2.051 (2.051) Loss: 2.8868 (2.8868) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 49.1667 (49.1667) + +2023-08-11 00:08:52,235 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.324) Loss: 2.7957 (2.8429) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (13.3000)Acc@5: 51.2500 (47.2000) + +2023-08-11 00:08:56,953 - train: [ INFO] - Train: 36 [ 0/41 ( 0%)] Loss: 0.406381 (0.4064) Acc@1: 25.8333 (25.8333) Acc@5: 63.3333 (63.3333) Time: 3.437s, 34.92/s LR: 5.411e-04 P_Replacement: 0.0 + +2023-08-11 00:09:21,969 - train: [ INFO] - Train: 36 [ 40/41 (100%)] Loss: 0.418747 (0.4275) Acc@1: 25.8333 (24.1667) Acc@5: 57.5000 (61.5854) Time: 0.694s, 172.93/s LR: 5.411e-04 P_Replacement: 0.0 + +2023-08-11 00:09:24,790 - train: [ INFO] - Test: [ 0/16] Time: 1.803 (1.803) Loss: 2.8246 (2.8246) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 50.8333 (50.8333) + +2023-08-11 00:09:28,042 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.297) Loss: 2.7562 (2.8156) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (13.8500)Acc@5: 52.5000 (48.0500) + +2023-08-11 00:09:32,713 - train: [ INFO] - Train: 37 [ 0/41 ( 0%)] Loss: 0.414736 (0.4147) Acc@1: 19.1667 (19.1667) Acc@5: 65.0000 (65.0000) Time: 3.521s, 34.08/s LR: 5.387e-04 P_Replacement: 0.0 + +2023-08-11 00:09:57,659 - train: [ INFO] - Train: 37 [ 40/41 (100%)] Loss: 0.413226 (0.4209) Acc@1: 22.5000 (23.6992) Acc@5: 57.5000 (62.4594) Time: 0.694s, 172.84/s LR: 5.387e-04 P_Replacement: 0.0 + +2023-08-11 00:10:00,638 - train: [ INFO] - Test: [ 0/16] Time: 1.919 (1.919) Loss: 2.9378 (2.9378) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 45.8333 (45.8333) + +2023-08-11 00:10:03,822 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.300) Loss: 2.8973 (2.8428) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (12.7500)Acc@5: 42.5000 (46.5000) + +2023-08-11 00:10:08,509 - train: [ INFO] - Train: 38 [ 0/41 ( 0%)] Loss: 0.409761 (0.4098) Acc@1: 25.0000 (25.0000) Acc@5: 59.1667 (59.1667) Time: 3.427s, 35.02/s LR: 5.361e-04 P_Replacement: 0.0 + +2023-08-11 00:10:33,578 - train: [ INFO] - Train: 38 [ 40/41 (100%)] Loss: 0.398616 (0.4120) Acc@1: 22.5000 (25.1626) Acc@5: 61.6667 (63.5772) Time: 0.695s, 172.67/s LR: 5.361e-04 P_Replacement: 0.0 + +2023-08-11 00:10:36,430 - train: [ INFO] - Test: [ 0/16] Time: 1.814 (1.814) Loss: 2.7057 (2.7057) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 50.0000 (50.0000) + +2023-08-11 00:10:39,744 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.302) Loss: 2.9464 (2.8317) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (13.3500)Acc@5: 38.7500 (46.7500) + +2023-08-11 00:10:44,502 - train: [ INFO] - Train: 39 [ 0/41 ( 0%)] Loss: 0.428109 (0.4281) Acc@1: 25.8333 (25.8333) Acc@5: 63.3333 (63.3333) Time: 3.441s, 34.87/s LR: 5.336e-04 P_Replacement: 0.0 + +2023-08-11 00:11:09,657 - train: [ INFO] - Train: 39 [ 40/41 (100%)] Loss: 0.409028 (0.4079) Acc@1: 25.8333 (24.7561) Acc@5: 66.6667 (63.2927) Time: 0.697s, 172.06/s LR: 5.336e-04 P_Replacement: 0.0 + +2023-08-11 00:11:12,563 - train: [ INFO] - Test: [ 0/16] Time: 1.846 (1.846) Loss: 2.7655 (2.7655) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 52.5000 (52.5000) + +2023-08-11 00:11:15,714 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.294) Loss: 2.6511 (2.8102) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (13.9000)Acc@5: 48.7500 (46.7000) + +2023-08-11 00:11:20,479 - train: [ INFO] - Train: 40 [ 0/41 ( 0%)] Loss: 0.358938 (0.3589) Acc@1: 36.6667 (36.6667) Acc@5: 75.0000 (75.0000) Time: 3.551s, 33.79/s LR: 5.309e-04 P_Replacement: 0.0 + +2023-08-11 00:11:45,427 - train: [ INFO] - Train: 40 [ 40/41 (100%)] Loss: 0.400400 (0.3981) Acc@1: 25.0000 (25.0610) Acc@5: 60.8333 (63.6789) Time: 0.695s, 172.65/s LR: 5.309e-04 P_Replacement: 0.0 + +2023-08-11 00:11:48,367 - train: [ INFO] - Test: [ 0/16] Time: 1.783 (1.783) Loss: 2.8510 (2.8510) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 46.6667 (46.6667) + +2023-08-11 00:11:51,955 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.316) Loss: 2.8083 (2.8171) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (14.0500)Acc@5: 40.0000 (46.8000) + +2023-08-11 00:11:56,708 - train: [ INFO] - Train: 41 [ 0/41 ( 0%)] Loss: 0.379685 (0.3797) Acc@1: 26.6667 (26.6667) Acc@5: 66.6667 (66.6667) Time: 3.420s, 35.08/s LR: 5.283e-04 P_Replacement: 0.0 + +2023-08-11 00:12:21,835 - train: [ INFO] - Train: 41 [ 40/41 (100%)] Loss: 0.393667 (0.3909) Acc@1: 24.1667 (25.7520) Acc@5: 60.8333 (65.6098) Time: 0.696s, 172.36/s LR: 5.283e-04 P_Replacement: 0.0 + +2023-08-11 00:12:24,602 - train: [ INFO] - Test: [ 0/16] Time: 1.795 (1.795) Loss: 2.8307 (2.8307) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 47.5000 (47.5000) + +2023-08-11 00:12:27,734 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.290) Loss: 2.9209 (2.8481) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 (13.1500)Acc@5: 36.2500 (46.2500) + +2023-08-11 00:12:32,879 - train: [ INFO] - Train: 42 [ 0/41 ( 0%)] Loss: 0.374859 (0.3749) Acc@1: 30.8333 (30.8333) Acc@5: 65.0000 (65.0000) Time: 3.744s, 32.05/s LR: 5.255e-04 P_Replacement: 0.0 + +2023-08-11 00:12:57,731 - train: [ INFO] - Train: 42 [ 40/41 (100%)] Loss: 0.389024 (0.3866) Acc@1: 32.5000 (26.2398) Acc@5: 70.8333 (66.1992) Time: 0.697s, 172.07/s LR: 5.255e-04 P_Replacement: 0.0 + +2023-08-11 00:13:00,876 - train: [ INFO] - Test: [ 0/16] Time: 2.034 (2.034) Loss: 2.8274 (2.8274) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 46.6667 (46.6667) + +2023-08-11 00:13:04,182 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.314) Loss: 2.7809 (2.8129) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (14.1500)Acc@5: 55.0000 (48.9500) + +2023-08-11 00:13:08,730 - train: [ INFO] - Train: 43 [ 0/41 ( 0%)] Loss: 0.402348 (0.4023) Acc@1: 19.1667 (19.1667) Acc@5: 56.6667 (56.6667) Time: 3.369s, 35.61/s LR: 5.227e-04 P_Replacement: 0.0 + +2023-08-11 00:13:33,596 - train: [ INFO] - Train: 43 [ 40/41 (100%)] Loss: 0.345366 (0.3789) Acc@1: 31.6667 (25.4472) Acc@5: 72.5000 (64.3293) Time: 0.689s, 174.26/s LR: 5.227e-04 P_Replacement: 0.0 + +2023-08-11 00:13:36,381 - train: [ INFO] - Test: [ 0/16] Time: 1.780 (1.780) Loss: 2.8412 (2.8412) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 50.8333 (50.8333) + +2023-08-11 00:13:39,585 - train: [ INFO] - Test: [ 16/16] Time: 0.155 (0.293) Loss: 2.8455 (2.8302) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (15.3500)Acc@5: 41.2500 (48.0500) + +2023-08-11 00:13:44,282 - train: [ INFO] - Train: 44 [ 0/41 ( 0%)] Loss: 0.344905 (0.3449) Acc@1: 34.1667 (34.1667) Acc@5: 69.1667 (69.1667) Time: 3.474s, 34.54/s LR: 5.199e-04 P_Replacement: 0.0 + +2023-08-11 00:14:09,298 - train: [ INFO] - Train: 44 [ 40/41 (100%)] Loss: 0.363244 (0.3679) Acc@1: 28.3333 (26.3821) Acc@5: 62.5000 (65.5894) Time: 0.695s, 172.70/s LR: 5.199e-04 P_Replacement: 0.0 + +2023-08-11 00:14:12,369 - train: [ INFO] - Test: [ 0/16] Time: 1.873 (1.873) Loss: 2.8031 (2.8031) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 44.1667 (44.1667) + +2023-08-11 00:14:15,532 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.296) Loss: 2.8314 (2.8735) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (12.2000)Acc@5: 51.2500 (46.1000) + +2023-08-11 00:14:20,149 - train: [ INFO] - Train: 45 [ 0/41 ( 0%)] Loss: 0.363028 (0.3630) Acc@1: 30.0000 (30.0000) Acc@5: 66.6667 (66.6667) Time: 3.501s, 34.28/s LR: 5.169e-04 P_Replacement: 0.0 + +2023-08-11 00:14:45,099 - train: [ INFO] - Train: 45 [ 40/41 (100%)] Loss: 0.367913 (0.3622) Acc@1: 31.6667 (27.1748) Acc@5: 62.5000 (65.0813) Time: 0.694s, 172.98/s LR: 5.169e-04 P_Replacement: 0.0 + +2023-08-11 00:14:48,010 - train: [ INFO] - Test: [ 0/16] Time: 1.802 (1.802) Loss: 2.7955 (2.7955) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 50.8333 (50.8333) + +2023-08-11 00:14:51,304 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.300) Loss: 2.7673 (2.8093) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (14.8500)Acc@5: 46.2500 (48.5500) + +2023-08-11 00:14:55,992 - train: [ INFO] - Train: 46 [ 0/41 ( 0%)] Loss: 0.360175 (0.3602) Acc@1: 25.0000 (25.0000) Acc@5: 65.0000 (65.0000) Time: 3.435s, 34.93/s LR: 5.140e-04 P_Replacement: 0.0 + +2023-08-11 00:15:20,960 - train: [ INFO] - Train: 46 [ 40/41 (100%)] Loss: 0.347629 (0.3607) Acc@1: 24.1667 (26.7073) Acc@5: 67.5000 (66.5244) Time: 0.693s, 173.23/s LR: 5.140e-04 P_Replacement: 0.0 + +2023-08-11 00:15:23,882 - train: [ INFO] - Test: [ 0/16] Time: 1.808 (1.808) Loss: 2.8510 (2.8510) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 47.5000 (47.5000) + +2023-08-11 00:15:27,062 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.293) Loss: 2.6918 (2.7572) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (14.4000)Acc@5: 50.0000 (49.8000) + +2023-08-11 00:15:31,955 - train: [ INFO] - Train: 47 [ 0/41 ( 0%)] Loss: 0.330533 (0.3305) Acc@1: 29.1667 (29.1667) Acc@5: 80.0000 (80.0000) Time: 3.631s, 33.05/s LR: 5.110e-04 P_Replacement: 0.0 + +2023-08-11 00:15:56,967 - train: [ INFO] - Train: 47 [ 40/41 (100%)] Loss: 0.355177 (0.3526) Acc@1: 27.5000 (27.3781) Acc@5: 65.0000 (67.0732) Time: 0.699s, 171.78/s LR: 5.110e-04 P_Replacement: 0.0 + +2023-08-11 00:15:59,856 - train: [ INFO] - Test: [ 0/16] Time: 1.802 (1.802) Loss: 2.7160 (2.7160) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 51.6667 (51.6667) + +2023-08-11 00:16:03,339 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.311) Loss: 2.6912 (2.7915) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (15.3000)Acc@5: 50.0000 (49.4500) + +2023-08-11 00:16:07,967 - train: [ INFO] - Train: 48 [ 0/41 ( 0%)] Loss: 0.353971 (0.3540) Acc@1: 27.5000 (27.5000) Acc@5: 65.8333 (65.8333) Time: 3.371s, 35.59/s LR: 5.079e-04 P_Replacement: 0.0 + +2023-08-11 00:16:32,981 - train: [ INFO] - Train: 48 [ 40/41 (100%)] Loss: 0.361440 (0.3477) Acc@1: 26.6667 (27.4594) Acc@5: 71.6667 (66.9919) Time: 0.692s, 173.34/s LR: 5.079e-04 P_Replacement: 0.0 + +2023-08-11 00:16:35,661 - train: [ INFO] - Test: [ 0/16] Time: 1.781 (1.781) Loss: 2.8113 (2.8113) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 46.6667 (46.6667) + +2023-08-11 00:16:38,800 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.289) Loss: 2.9400 (2.8226) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.8500)Acc@5: 38.7500 (47.8000) + +2023-08-11 00:16:43,628 - train: [ INFO] - Train: 49 [ 0/41 ( 0%)] Loss: 0.337993 (0.3380) Acc@1: 33.3333 (33.3333) Acc@5: 70.8333 (70.8333) Time: 3.652s, 32.86/s LR: 5.048e-04 P_Replacement: 0.0 + +2023-08-11 00:17:08,804 - train: [ INFO] - Train: 49 [ 40/41 (100%)] Loss: 0.327876 (0.3421) Acc@1: 30.8333 (27.9065) Acc@5: 70.8333 (68.5366) Time: 0.703s, 170.68/s LR: 5.048e-04 P_Replacement: 0.0 + +2023-08-11 00:17:11,899 - train: [ INFO] - Test: [ 0/16] Time: 1.976 (1.976) Loss: 2.7547 (2.7547) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 49.1667 (49.1667) + +2023-08-11 00:17:15,210 - train: [ INFO] - Test: [ 16/16] Time: 0.162 (0.311) Loss: 2.9269 (2.8236) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.4500)Acc@5: 42.5000 (47.1000) + +2023-08-11 00:17:19,898 - train: [ INFO] - Train: 50 [ 0/41 ( 0%)] Loss: 0.355430 (0.3554) Acc@1: 26.6667 (26.6667) Acc@5: 67.5000 (67.5000) Time: 3.387s, 35.43/s LR: 5.016e-04 P_Replacement: 0.0 + +2023-08-11 00:17:44,823 - train: [ INFO] - Train: 50 [ 40/41 (100%)] Loss: 0.341286 (0.3360) Acc@1: 30.8333 (28.3740) Acc@5: 68.3333 (67.4390) Time: 0.691s, 173.79/s LR: 5.016e-04 P_Replacement: 0.0 + +2023-08-11 00:17:47,704 - train: [ INFO] - Test: [ 0/16] Time: 1.761 (1.761) Loss: 2.7652 (2.7652) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 48.3333 (48.3333) + +2023-08-11 00:17:50,854 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.289) Loss: 2.6224 (2.8469) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.0500)Acc@5: 58.7500 (46.7500) + +2023-08-11 00:17:55,505 - train: [ INFO] - Train: 51 [ 0/41 ( 0%)] Loss: 0.338120 (0.3381) Acc@1: 30.8333 (30.8333) Acc@5: 67.5000 (67.5000) Time: 3.512s, 34.17/s LR: 4.984e-04 P_Replacement: 0.0 + +2023-08-11 00:18:20,400 - train: [ INFO] - Train: 51 [ 40/41 (100%)] Loss: 0.330786 (0.3297) Acc@1: 24.1667 (28.6789) Acc@5: 66.6667 (68.3537) Time: 0.693s, 173.21/s LR: 4.984e-04 P_Replacement: 0.0 + +2023-08-11 00:18:23,427 - train: [ INFO] - Test: [ 0/16] Time: 1.904 (1.904) Loss: 2.9360 (2.9360) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 45.0000 (45.0000) + +2023-08-11 00:18:26,567 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.297) Loss: 2.9023 (2.9119) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.7000)Acc@5: 46.2500 (45.2000) + +2023-08-11 00:18:31,116 - train: [ INFO] - Train: 52 [ 0/41 ( 0%)] Loss: 0.303605 (0.3036) Acc@1: 32.5000 (32.5000) Acc@5: 72.5000 (72.5000) Time: 3.382s, 35.48/s LR: 4.951e-04 P_Replacement: 0.0 + +2023-08-11 00:18:56,010 - train: [ INFO] - Train: 52 [ 40/41 (100%)] Loss: 0.328343 (0.3226) Acc@1: 32.5000 (28.5976) Acc@5: 68.3333 (69.0041) Time: 0.690s, 174.01/s LR: 4.951e-04 P_Replacement: 0.0 + +2023-08-11 00:18:58,810 - train: [ INFO] - Test: [ 0/16] Time: 1.811 (1.811) Loss: 2.8579 (2.8579) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 45.0000 (45.0000) + +2023-08-11 00:19:02,174 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.304) Loss: 2.7626 (2.8792) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (13.9500)Acc@5: 52.5000 (46.9000) + +2023-08-11 00:19:06,861 - train: [ INFO] - Train: 53 [ 0/41 ( 0%)] Loss: 0.327422 (0.3274) Acc@1: 30.0000 (30.0000) Acc@5: 64.1667 (64.1667) Time: 3.353s, 35.79/s LR: 4.918e-04 P_Replacement: 0.0 + +2023-08-11 00:19:31,874 - train: [ INFO] - Train: 53 [ 40/41 (100%)] Loss: 0.316894 (0.3189) Acc@1: 28.3333 (28.6179) Acc@5: 67.5000 (69.6138) Time: 0.692s, 173.46/s LR: 4.918e-04 P_Replacement: 0.0 + +2023-08-11 00:19:34,764 - train: [ INFO] - Test: [ 0/16] Time: 1.874 (1.874) Loss: 2.9774 (2.9774) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 40.0000 (40.0000) + +2023-08-11 00:19:37,949 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.298) Loss: 2.9747 (2.9597) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (11.9000)Acc@5: 42.5000 (43.4000) + +2023-08-11 00:19:42,894 - train: [ INFO] - Train: 54 [ 0/41 ( 0%)] Loss: 0.313748 (0.3137) Acc@1: 33.3333 (33.3333) Acc@5: 79.1667 (79.1667) Time: 3.720s, 32.25/s LR: 4.884e-04 P_Replacement: 0.0 + +2023-08-11 00:20:07,721 - train: [ INFO] - Train: 54 [ 40/41 (100%)] Loss: 0.312793 (0.3148) Acc@1: 27.5000 (29.7764) Acc@5: 75.8333 (69.1057) Time: 0.696s, 172.36/s LR: 4.884e-04 P_Replacement: 0.0 + +2023-08-11 00:20:10,584 - train: [ INFO] - Test: [ 0/16] Time: 1.775 (1.775) Loss: 2.9714 (2.9714) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 48.3333 (48.3333) + +2023-08-11 00:20:13,951 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.302) Loss: 2.9539 (2.9022) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (13.1500)Acc@5: 45.0000 (46.4000) + +2023-08-11 00:20:18,570 - train: [ INFO] - Train: 55 [ 0/41 ( 0%)] Loss: 0.301928 (0.3019) Acc@1: 29.1667 (29.1667) Acc@5: 69.1667 (69.1667) Time: 3.402s, 35.28/s LR: 4.850e-04 P_Replacement: 0.0 + +2023-08-11 00:20:43,520 - train: [ INFO] - Train: 55 [ 40/41 (100%)] Loss: 0.316188 (0.3073) Acc@1: 32.5000 (29.1870) Acc@5: 70.8333 (69.7155) Time: 0.691s, 173.55/s LR: 4.850e-04 P_Replacement: 0.0 + +2023-08-11 00:20:46,532 - train: [ INFO] - Test: [ 0/16] Time: 1.824 (1.824) Loss: 2.7668 (2.7668) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 48.3333 (48.3333) + +2023-08-11 00:20:49,836 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.302) Loss: 2.9601 (2.8415) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.9000)Acc@5: 47.5000 (48.3000) + +2023-08-11 00:20:54,801 - train: [ INFO] - Train: 56 [ 0/41 ( 0%)] Loss: 0.302847 (0.3028) Acc@1: 25.0000 (25.0000) Acc@5: 71.6667 (71.6667) Time: 3.705s, 32.39/s LR: 4.815e-04 P_Replacement: 0.0 + +2023-08-11 00:21:19,736 - train: [ INFO] - Train: 56 [ 40/41 (100%)] Loss: 0.297380 (0.3007) Acc@1: 29.1667 (30.3659) Acc@5: 71.6667 (70.9756) Time: 0.699s, 171.80/s LR: 4.815e-04 P_Replacement: 0.0 + +2023-08-11 00:21:22,946 - train: [ INFO] - Test: [ 0/16] Time: 2.098 (2.098) Loss: 2.7844 (2.7844) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 50.0000 (50.0000) + +2023-08-11 00:21:26,155 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.312) Loss: 2.8839 (2.8193) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (13.2500)Acc@5: 47.5000 (48.3000) + +2023-08-11 00:21:30,891 - train: [ INFO] - Train: 57 [ 0/41 ( 0%)] Loss: 0.299987 (0.3000) Acc@1: 27.5000 (27.5000) Acc@5: 74.1667 (74.1667) Time: 3.482s, 34.47/s LR: 4.780e-04 P_Replacement: 0.0 + +2023-08-11 00:21:55,864 - train: [ INFO] - Train: 57 [ 40/41 (100%)] Loss: 0.308899 (0.3008) Acc@1: 30.0000 (30.2033) Acc@5: 67.5000 (69.9594) Time: 0.694s, 172.92/s LR: 4.780e-04 P_Replacement: 0.0 + +2023-08-11 00:21:58,689 - train: [ INFO] - Test: [ 0/16] Time: 1.785 (1.785) Loss: 2.8661 (2.8661) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 47.5000 (47.5000) + +2023-08-11 00:22:01,851 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.291) Loss: 2.8952 (2.7744) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (15.0000)Acc@5: 43.7500 (50.3500) + +2023-08-11 00:22:06,589 - train: [ INFO] - Train: 58 [ 0/41 ( 0%)] Loss: 0.281621 (0.2816) Acc@1: 33.3333 (33.3333) Acc@5: 73.3333 (73.3333) Time: 3.424s, 35.05/s LR: 4.745e-04 P_Replacement: 0.0 + +2023-08-11 00:22:31,473 - train: [ INFO] - Train: 58 [ 40/41 (100%)] Loss: 0.298853 (0.2915) Acc@1: 25.8333 (30.5691) Acc@5: 68.3333 (71.1789) Time: 0.690s, 173.82/s LR: 4.745e-04 P_Replacement: 0.0 + +2023-08-11 00:22:34,469 - train: [ INFO] - Test: [ 0/16] Time: 1.839 (1.839) Loss: 2.7233 (2.7233) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 50.8333 (50.8333) + +2023-08-11 00:22:37,790 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.304) Loss: 2.8016 (2.8326) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (13.7500)Acc@5: 51.2500 (47.9000) + +2023-08-11 00:22:42,416 - train: [ INFO] - Train: 59 [ 0/41 ( 0%)] Loss: 0.277230 (0.2772) Acc@1: 29.1667 (29.1667) Acc@5: 74.1667 (74.1667) Time: 3.391s, 35.39/s LR: 4.709e-04 P_Replacement: 0.0 + +2023-08-11 00:23:07,585 - train: [ INFO] - Train: 59 [ 40/41 (100%)] Loss: 0.296803 (0.2853) Acc@1: 29.1667 (32.2561) Acc@5: 65.8333 (71.4634) Time: 0.696s, 172.30/s LR: 4.709e-04 P_Replacement: 0.0 + +2023-08-11 00:23:10,348 - train: [ INFO] - Test: [ 0/16] Time: 1.789 (1.789) Loss: 2.8937 (2.8937) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 50.8333 (50.8333) + +2023-08-11 00:23:13,682 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.301) Loss: 2.9250 (2.8380) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (14.3000)Acc@5: 46.2500 (48.2000) + +2023-08-11 00:23:18,417 - train: [ INFO] - Train: 60 [ 0/41 ( 0%)] Loss: 0.278278 (0.2783) Acc@1: 36.6667 (36.6667) Acc@5: 71.6667 (71.6667) Time: 3.391s, 35.39/s LR: 4.672e-04 P_Replacement: 0.0 + +2023-08-11 00:23:43,354 - train: [ INFO] - Train: 60 [ 40/41 (100%)] Loss: 0.281015 (0.2807) Acc@1: 30.8333 (32.0325) Acc@5: 74.1667 (72.0122) Time: 0.691s, 173.69/s LR: 4.672e-04 P_Replacement: 0.0 + +2023-08-11 00:23:46,236 - train: [ INFO] - Test: [ 0/16] Time: 1.892 (1.892) Loss: 2.8459 (2.8459) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 45.8333 (45.8333) + +2023-08-11 00:23:49,400 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.297) Loss: 2.7382 (2.8274) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (15.3500)Acc@5: 51.2500 (49.9500) + +2023-08-11 00:23:54,234 - train: [ INFO] - Train: 61 [ 0/41 ( 0%)] Loss: 0.279124 (0.2791) Acc@1: 32.5000 (32.5000) Acc@5: 67.5000 (67.5000) Time: 3.674s, 32.66/s LR: 4.636e-04 P_Replacement: 0.0 + +2023-08-11 00:24:19,345 - train: [ INFO] - Train: 61 [ 40/41 (100%)] Loss: 0.285028 (0.2772) Acc@1: 30.0000 (33.3333) Acc@5: 68.3333 (72.7033) Time: 0.702s, 170.93/s LR: 4.636e-04 P_Replacement: 0.0 + +2023-08-11 00:24:22,147 - train: [ INFO] - Test: [ 0/16] Time: 1.802 (1.802) Loss: 2.8009 (2.8009) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 44.1667 (44.1667) + +2023-08-11 00:24:25,749 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.318) Loss: 2.6256 (2.8238) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (13.8500)Acc@5: 55.0000 (49.7000) + +2023-08-11 00:24:30,352 - train: [ INFO] - Train: 62 [ 0/41 ( 0%)] Loss: 0.283195 (0.2832) Acc@1: 25.0000 (25.0000) Acc@5: 67.5000 (67.5000) Time: 3.510s, 34.19/s LR: 4.598e-04 P_Replacement: 0.0 + +2023-08-11 00:24:56,028 - train: [ INFO] - Train: 62 [ 40/41 (100%)] Loss: 0.268584 (0.2753) Acc@1: 27.5000 (32.7642) Acc@5: 75.8333 (72.0935) Time: 0.712s, 168.59/s LR: 4.598e-04 P_Replacement: 0.0 + +2023-08-11 00:24:58,851 - train: [ INFO] - Test: [ 0/16] Time: 1.818 (1.818) Loss: 3.0280 (3.0280) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 38.3333 (38.3333) + +2023-08-11 00:25:02,009 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.293) Loss: 3.0337 (2.8882) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (12.7500)Acc@5: 41.2500 (47.4000) + +2023-08-11 00:25:07,241 - train: [ INFO] - Train: 63 [ 0/41 ( 0%)] Loss: 0.258030 (0.2580) Acc@1: 35.0000 (35.0000) Acc@5: 75.8333 (75.8333) Time: 3.978s, 30.17/s LR: 4.561e-04 P_Replacement: 0.0 + +2023-08-11 00:25:32,405 - train: [ INFO] - Train: 63 [ 40/41 (100%)] Loss: 0.276174 (0.2724) Acc@1: 34.1667 (32.8862) Acc@5: 67.5000 (73.7195) Time: 0.711s, 168.84/s LR: 4.561e-04 P_Replacement: 0.0 + +2023-08-11 00:25:35,488 - train: [ INFO] - Test: [ 0/16] Time: 1.893 (1.893) Loss: 2.7230 (2.7230) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 55.8333 (55.8333) + +2023-08-11 00:25:38,777 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.305) Loss: 2.8495 (2.7799) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (14.3000)Acc@5: 52.5000 (50.2000) + +2023-08-11 00:25:43,934 - train: [ INFO] - Train: 64 [ 0/41 ( 0%)] Loss: 0.274501 (0.2745) Acc@1: 33.3333 (33.3333) Acc@5: 69.1667 (69.1667) Time: 3.804s, 31.55/s LR: 4.523e-04 P_Replacement: 0.0 + +2023-08-11 00:26:09,346 - train: [ INFO] - Train: 64 [ 40/41 (100%)] Loss: 0.268478 (0.2721) Acc@1: 30.0000 (32.8659) Acc@5: 73.3333 (72.9878) Time: 0.711s, 168.75/s LR: 4.523e-04 P_Replacement: 0.0 + +2023-08-11 00:26:12,240 - train: [ INFO] - Test: [ 0/16] Time: 1.797 (1.797) Loss: 2.8591 (2.8591) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 48.3333 (48.3333) + +2023-08-11 00:26:15,610 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.304) Loss: 2.7379 (2.7820) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (14.7000)Acc@5: 47.5000 (51.0500) + +2023-08-11 00:26:20,133 - train: [ INFO] - Train: 65 [ 0/41 ( 0%)] Loss: 0.257035 (0.2570) Acc@1: 37.5000 (37.5000) Acc@5: 73.3333 (73.3333) Time: 3.393s, 35.37/s LR: 4.484e-04 P_Replacement: 0.0 + +2023-08-11 00:26:45,655 - train: [ INFO] - Train: 65 [ 40/41 (100%)] Loss: 0.267788 (0.2668) Acc@1: 33.3333 (33.6585) Acc@5: 70.8333 (74.2886) Time: 0.705s, 170.17/s LR: 4.484e-04 P_Replacement: 0.0 + +2023-08-11 00:26:48,628 - train: [ INFO] - Test: [ 0/16] Time: 1.805 (1.805) Loss: 2.8290 (2.8290) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 47.5000 (47.5000) + +2023-08-11 00:26:51,870 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.297) Loss: 2.6910 (2.8105) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (15.5500)Acc@5: 57.5000 (49.5000) + +2023-08-11 00:26:56,983 - train: [ INFO] - Train: 66 [ 0/41 ( 0%)] Loss: 0.254288 (0.2543) Acc@1: 31.6667 (31.6667) Acc@5: 80.8333 (80.8333) Time: 3.995s, 30.04/s LR: 4.446e-04 P_Replacement: 0.0 + +2023-08-11 00:27:22,177 - train: [ INFO] - Train: 66 [ 40/41 (100%)] Loss: 0.251959 (0.2603) Acc@1: 36.6667 (34.1260) Acc@5: 75.0000 (74.0244) Time: 0.712s, 168.57/s LR: 4.446e-04 P_Replacement: 0.0 + +2023-08-11 00:27:25,262 - train: [ INFO] - Test: [ 0/16] Time: 2.183 (2.183) Loss: 2.7941 (2.7941) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 46.6667 (46.6667) + +2023-08-11 00:27:28,570 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.323) Loss: 2.8158 (2.8445) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (13.8000)Acc@5: 45.0000 (49.2500) + +2023-08-11 00:27:33,238 - train: [ INFO] - Train: 67 [ 0/41 ( 0%)] Loss: 0.257917 (0.2579) Acc@1: 35.8333 (35.8333) Acc@5: 77.5000 (77.5000) Time: 3.371s, 35.60/s LR: 4.406e-04 P_Replacement: 0.0 + +2023-08-11 00:27:58,265 - train: [ INFO] - Train: 67 [ 40/41 (100%)] Loss: 0.260503 (0.2610) Acc@1: 27.5000 (34.4715) Acc@5: 74.1667 (74.5529) Time: 0.693s, 173.26/s LR: 4.406e-04 P_Replacement: 0.0 + +2023-08-11 00:28:01,230 - train: [ INFO] - Test: [ 0/16] Time: 1.981 (1.981) Loss: 2.6715 (2.6715) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 56.6667 (56.6667) + +2023-08-11 00:28:04,505 - train: [ INFO] - Test: [ 16/16] Time: 0.248 (0.309) Loss: 2.7882 (2.8509) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (14.2500)Acc@5: 55.0000 (50.1500) + +2023-08-11 00:28:09,620 - train: [ INFO] - Train: 68 [ 0/41 ( 0%)] Loss: 0.261470 (0.2615) Acc@1: 32.5000 (32.5000) Acc@5: 75.8333 (75.8333) Time: 3.938s, 30.47/s LR: 4.367e-04 P_Replacement: 0.0 + +2023-08-11 00:28:34,737 - train: [ INFO] - Train: 68 [ 40/41 (100%)] Loss: 0.258477 (0.2666) Acc@1: 31.6667 (35.2439) Acc@5: 79.1667 (74.3699) Time: 0.709s, 169.37/s LR: 4.367e-04 P_Replacement: 0.0 + +2023-08-11 00:28:37,952 - train: [ INFO] - Test: [ 0/16] Time: 2.150 (2.150) Loss: 2.7710 (2.7710) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 48.3333 (48.3333) + +2023-08-11 00:28:41,064 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.310) Loss: 2.6541 (2.7963) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.6500)Acc@5: 51.2500 (51.4000) + +2023-08-11 00:28:42,281 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-68.pth.tar', 15.650000839233398) + +2023-08-11 00:28:46,312 - train: [ INFO] - Train: 69 [ 0/41 ( 0%)] Loss: 0.253426 (0.2534) Acc@1: 37.5000 (37.5000) Acc@5: 76.6667 (76.6667) Time: 4.004s, 29.97/s LR: 4.327e-04 P_Replacement: 0.0 + +2023-08-11 00:29:11,746 - train: [ INFO] - Train: 69 [ 40/41 (100%)] Loss: 0.272045 (0.2571) Acc@1: 25.8333 (35.0610) Acc@5: 70.0000 (74.7764) Time: 0.718s, 167.15/s LR: 4.327e-04 P_Replacement: 0.0 + +2023-08-11 00:29:14,643 - train: [ INFO] - Test: [ 0/16] Time: 1.785 (1.785) Loss: 2.8394 (2.8394) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 45.8333 (45.8333) + +2023-08-11 00:29:18,190 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.314) Loss: 2.7989 (2.8604) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (13.5500)Acc@5: 58.7500 (49.2000) + +2023-08-11 00:29:22,878 - train: [ INFO] - Train: 70 [ 0/41 ( 0%)] Loss: 0.260584 (0.2606) Acc@1: 36.6667 (36.6667) Acc@5: 76.6667 (76.6667) Time: 3.629s, 33.07/s LR: 4.287e-04 P_Replacement: 0.0 + +2023-08-11 00:29:48,443 - train: [ INFO] - Train: 70 [ 40/41 (100%)] Loss: 0.244692 (0.2497) Acc@1: 37.5000 (35.7317) Acc@5: 76.6667 (75.2642) Time: 0.712s, 168.55/s LR: 4.287e-04 P_Replacement: 0.0 + +2023-08-11 00:29:51,483 - train: [ INFO] - Test: [ 0/16] Time: 2.040 (2.040) Loss: 2.7473 (2.7473) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 55.0000 (55.0000) + +2023-08-11 00:29:54,735 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.311) Loss: 2.8589 (2.8251) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (15.2500)Acc@5: 52.5000 (50.3000) + +2023-08-11 00:29:59,598 - train: [ INFO] - Train: 71 [ 0/41 ( 0%)] Loss: 0.233274 (0.2333) Acc@1: 39.1667 (39.1667) Acc@5: 80.8333 (80.8333) Time: 3.611s, 33.23/s LR: 4.247e-04 P_Replacement: 0.0 + +2023-08-11 00:30:24,893 - train: [ INFO] - Train: 71 [ 40/41 (100%)] Loss: 0.232404 (0.2403) Acc@1: 36.6667 (36.0569) Acc@5: 76.6667 (75.8943) Time: 0.705s, 170.22/s LR: 4.247e-04 P_Replacement: 0.0 + +2023-08-11 00:30:27,972 - train: [ INFO] - Test: [ 0/16] Time: 2.059 (2.059) Loss: 2.8612 (2.8612) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 48.3333 (48.3333) + +2023-08-11 00:30:31,139 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.307) Loss: 2.9082 (2.7986) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (17.1000)Acc@5: 52.5000 (52.0000) + +2023-08-11 00:30:32,234 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-71.pth.tar', 17.10000108718872) + +2023-08-11 00:30:36,042 - train: [ INFO] - Train: 72 [ 0/41 ( 0%)] Loss: 0.240877 (0.2409) Acc@1: 40.8333 (40.8333) Acc@5: 71.6667 (71.6667) Time: 3.790s, 31.66/s LR: 4.206e-04 P_Replacement: 0.0 + +2023-08-11 00:31:01,279 - train: [ INFO] - Train: 72 [ 40/41 (100%)] Loss: 0.221061 (0.2359) Acc@1: 38.3333 (36.7276) Acc@5: 76.6667 (75.9959) Time: 0.708s, 169.51/s LR: 4.206e-04 P_Replacement: 0.0 + +2023-08-11 00:31:04,204 - train: [ INFO] - Test: [ 0/16] Time: 1.892 (1.892) Loss: 2.7384 (2.7384) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 55.0000 (55.0000) + +2023-08-11 00:31:07,553 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.308) Loss: 2.9048 (2.8593) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (14.9500)Acc@5: 50.0000 (50.1000) + +2023-08-11 00:31:12,339 - train: [ INFO] - Train: 73 [ 0/41 ( 0%)] Loss: 0.245902 (0.2459) Acc@1: 36.6667 (36.6667) Acc@5: 73.3333 (73.3333) Time: 3.640s, 32.97/s LR: 4.165e-04 P_Replacement: 0.0 + +2023-08-11 00:31:37,602 - train: [ INFO] - Train: 73 [ 40/41 (100%)] Loss: 0.234904 (0.2309) Acc@1: 35.0000 (36.8293) Acc@5: 71.6667 (76.9512) Time: 0.705s, 170.24/s LR: 4.165e-04 P_Replacement: 0.0 + +2023-08-11 00:31:40,481 - train: [ INFO] - Test: [ 0/16] Time: 1.845 (1.845) Loss: 2.9966 (2.9966) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 47.5000 (47.5000) + +2023-08-11 00:31:43,755 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.301) Loss: 3.0690 (2.9965) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (11.4500)Acc@5: 45.0000 (48.9500) + +2023-08-11 00:31:48,918 - train: [ INFO] - Train: 74 [ 0/41 ( 0%)] Loss: 0.234032 (0.2340) Acc@1: 40.8333 (40.8333) Acc@5: 78.3333 (78.3333) Time: 3.999s, 30.01/s LR: 4.123e-04 P_Replacement: 0.0 + +2023-08-11 00:32:14,124 - train: [ INFO] - Train: 74 [ 40/41 (100%)] Loss: 0.218049 (0.2287) Acc@1: 40.0000 (37.8252) Acc@5: 75.0000 (75.8943) Time: 0.712s, 168.48/s LR: 4.123e-04 P_Replacement: 0.0 + +2023-08-11 00:32:17,403 - train: [ INFO] - Test: [ 0/16] Time: 2.217 (2.217) Loss: 3.0142 (3.0142) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 43.3333 (43.3333) + +2023-08-11 00:32:20,652 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.321) Loss: 3.0642 (2.8972) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (14.1000)Acc@5: 38.7500 (48.5000) + +2023-08-11 00:32:25,473 - train: [ INFO] - Train: 75 [ 0/41 ( 0%)] Loss: 0.251085 (0.2511) Acc@1: 36.6667 (36.6667) Acc@5: 68.3333 (68.3333) Time: 3.682s, 32.59/s LR: 4.082e-04 P_Replacement: 0.0 + +2023-08-11 00:32:50,776 - train: [ INFO] - Train: 75 [ 40/41 (100%)] Loss: 0.218644 (0.2251) Acc@1: 44.1667 (37.5813) Acc@5: 77.5000 (77.3577) Time: 0.707s, 169.76/s LR: 4.082e-04 P_Replacement: 0.0 + +2023-08-11 00:32:53,781 - train: [ INFO] - Test: [ 0/16] Time: 2.001 (2.001) Loss: 2.8784 (2.8784) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 47.5000 (47.5000) + +2023-08-11 00:32:57,393 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.330) Loss: 2.9931 (2.9476) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.8500)Acc@5: 51.2500 (47.4000) + +2023-08-11 00:33:02,220 - train: [ INFO] - Train: 76 [ 0/41 ( 0%)] Loss: 0.227532 (0.2275) Acc@1: 35.8333 (35.8333) Acc@5: 79.1667 (79.1667) Time: 3.623s, 33.12/s LR: 4.040e-04 P_Replacement: 0.0 + +2023-08-11 00:33:27,908 - train: [ INFO] - Train: 76 [ 40/41 (100%)] Loss: 0.234019 (0.2217) Acc@1: 33.3333 (38.4756) Acc@5: 73.3333 (77.5407) Time: 0.715s, 167.89/s LR: 4.040e-04 P_Replacement: 0.0 + +2023-08-11 00:33:30,857 - train: [ INFO] - Test: [ 0/16] Time: 1.927 (1.927) Loss: 2.9391 (2.9391) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 50.8333 (50.8333) + +2023-08-11 00:33:33,948 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.295) Loss: 3.0768 (2.9588) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (14.2000)Acc@5: 45.0000 (50.2000) + +2023-08-11 00:33:39,291 - train: [ INFO] - Train: 77 [ 0/41 ( 0%)] Loss: 0.216233 (0.2162) Acc@1: 40.0000 (40.0000) Acc@5: 80.8333 (80.8333) Time: 4.206s, 28.53/s LR: 3.998e-04 P_Replacement: 0.0 + +2023-08-11 00:34:04,804 - train: [ INFO] - Train: 77 [ 40/41 (100%)] Loss: 0.221508 (0.2176) Acc@1: 38.3333 (38.1504) Acc@5: 77.5000 (77.5407) Time: 0.725s, 165.56/s LR: 3.998e-04 P_Replacement: 0.0 + +2023-08-11 00:34:07,754 - train: [ INFO] - Test: [ 0/16] Time: 2.057 (2.057) Loss: 2.8036 (2.8036) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 50.0000 (50.0000) + +2023-08-11 00:34:11,050 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.315) Loss: 3.0038 (2.9010) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (16.2000)Acc@5: 42.5000 (50.0000) + +2023-08-11 00:34:15,826 - train: [ INFO] - Train: 78 [ 0/41 ( 0%)] Loss: 0.220285 (0.2203) Acc@1: 42.5000 (42.5000) Acc@5: 74.1667 (74.1667) Time: 3.477s, 34.51/s LR: 3.955e-04 P_Replacement: 0.0 + +2023-08-11 00:34:41,810 - train: [ INFO] - Train: 78 [ 40/41 (100%)] Loss: 0.222597 (0.2144) Acc@1: 31.6667 (39.4512) Acc@5: 80.0000 (78.6992) Time: 0.719s, 167.01/s LR: 3.955e-04 P_Replacement: 0.0 + +2023-08-11 00:34:44,653 - train: [ INFO] - Test: [ 0/16] Time: 1.819 (1.819) Loss: 2.8294 (2.8294) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 51.6667 (51.6667) + +2023-08-11 00:34:48,276 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.320) Loss: 2.7253 (2.9103) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (14.0500)Acc@5: 52.5000 (50.2500) + +2023-08-11 00:34:53,265 - train: [ INFO] - Train: 79 [ 0/41 ( 0%)] Loss: 0.221461 (0.2215) Acc@1: 38.3333 (38.3333) Acc@5: 74.1667 (74.1667) Time: 3.645s, 32.92/s LR: 3.912e-04 P_Replacement: 0.0 + +2023-08-11 00:35:18,890 - train: [ INFO] - Train: 79 [ 40/41 (100%)] Loss: 0.205830 (0.2105) Acc@1: 39.1667 (40.0000) Acc@5: 76.6667 (79.5122) Time: 0.714s, 168.11/s LR: 3.912e-04 P_Replacement: 0.0 + +2023-08-11 00:35:21,733 - train: [ INFO] - Test: [ 0/16] Time: 1.934 (1.934) Loss: 2.9784 (2.9784) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 45.8333 (45.8333) + +2023-08-11 00:35:25,084 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.311) Loss: 2.7143 (2.9547) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (14.3000)Acc@5: 51.2500 (50.4000) + +2023-08-11 00:35:30,452 - train: [ INFO] - Train: 80 [ 0/41 ( 0%)] Loss: 0.204050 (0.2040) Acc@1: 40.8333 (40.8333) Acc@5: 80.0000 (80.0000) Time: 4.198s, 28.58/s LR: 3.870e-04 P_Replacement: 0.0 + +2023-08-11 00:35:55,863 - train: [ INFO] - Train: 80 [ 40/41 (100%)] Loss: 0.216810 (0.2068) Acc@1: 29.1667 (40.4472) Acc@5: 79.1667 (78.9431) Time: 0.722s, 166.18/s LR: 3.870e-04 P_Replacement: 0.0 + +2023-08-11 00:35:59,144 - train: [ INFO] - Test: [ 0/16] Time: 2.168 (2.168) Loss: 2.7651 (2.7651) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 51.6667 (51.6667) + +2023-08-11 00:36:02,350 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.316) Loss: 2.8616 (2.8401) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (14.1000)Acc@5: 53.7500 (51.3500) + +2023-08-11 00:36:06,810 - train: [ INFO] - Train: 81 [ 0/41 ( 0%)] Loss: 0.210501 (0.2105) Acc@1: 40.8333 (40.8333) Acc@5: 82.5000 (82.5000) Time: 3.348s, 35.85/s LR: 3.826e-04 P_Replacement: 0.0 + +2023-08-11 00:36:32,269 - train: [ INFO] - Train: 81 [ 40/41 (100%)] Loss: 0.217254 (0.2043) Acc@1: 35.8333 (41.5041) Acc@5: 71.6667 (79.8374) Time: 0.703s, 170.80/s LR: 3.826e-04 P_Replacement: 0.0 + +2023-08-11 00:36:35,160 - train: [ INFO] - Test: [ 0/16] Time: 1.914 (1.914) Loss: 2.9161 (2.9161) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 49.1667 (49.1667) + +2023-08-11 00:36:38,628 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.317) Loss: 2.9031 (2.8409) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (16.3500)Acc@5: 51.2500 (51.7000) + +2023-08-11 00:36:43,202 - train: [ INFO] - Train: 82 [ 0/41 ( 0%)] Loss: 0.187966 (0.1880) Acc@1: 45.0000 (45.0000) Acc@5: 85.0000 (85.0000) Time: 3.377s, 35.53/s LR: 3.783e-04 P_Replacement: 0.0 + +2023-08-11 00:37:08,602 - train: [ INFO] - Train: 82 [ 40/41 (100%)] Loss: 0.214630 (0.2027) Acc@1: 40.0000 (42.3781) Acc@5: 75.8333 (80.4472) Time: 0.702s, 170.98/s LR: 3.783e-04 P_Replacement: 0.0 + +2023-08-11 00:37:11,465 - train: [ INFO] - Test: [ 0/16] Time: 1.851 (1.851) Loss: 2.8652 (2.8652) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 54.1667 (54.1667) + +2023-08-11 00:37:14,599 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.293) Loss: 3.1015 (3.0206) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (14.7000)Acc@5: 52.5000 (50.1500) + +2023-08-11 00:37:19,732 - train: [ INFO] - Train: 83 [ 0/41 ( 0%)] Loss: 0.195916 (0.1959) Acc@1: 40.0000 (40.0000) Acc@5: 78.3333 (78.3333) Time: 3.846s, 31.20/s LR: 3.740e-04 P_Replacement: 0.0 + +2023-08-11 00:37:45,002 - train: [ INFO] - Train: 83 [ 40/41 (100%)] Loss: 0.195697 (0.1979) Acc@1: 45.8333 (41.7276) Acc@5: 81.6667 (80.8333) Time: 0.709s, 169.17/s LR: 3.740e-04 P_Replacement: 0.0 + +2023-08-11 00:37:47,910 - train: [ INFO] - Test: [ 0/16] Time: 1.834 (1.834) Loss: 3.0945 (3.0945) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 42.5000 (42.5000) + +2023-08-11 00:37:51,462 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.317) Loss: 2.9543 (2.9704) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (14.7500)Acc@5: 48.7500 (49.2500) + +2023-08-11 00:37:56,270 - train: [ INFO] - Train: 84 [ 0/41 ( 0%)] Loss: 0.179226 (0.1792) Acc@1: 50.8333 (50.8333) Acc@5: 88.3333 (88.3333) Time: 3.691s, 32.51/s LR: 3.696e-04 P_Replacement: 0.0 + +2023-08-11 00:38:21,992 - train: [ INFO] - Train: 84 [ 40/41 (100%)] Loss: 0.202670 (0.1981) Acc@1: 35.8333 (42.4390) Acc@5: 79.1667 (81.1585) Time: 0.717s, 167.29/s LR: 3.696e-04 P_Replacement: 0.0 + +2023-08-11 00:38:24,748 - train: [ INFO] - Test: [ 0/16] Time: 1.753 (1.753) Loss: 2.6175 (2.6175) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 58.3333 (58.3333) + +2023-08-11 00:38:27,893 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.288) Loss: 3.0103 (2.8514) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (15.0000)Acc@5: 45.0000 (52.5500) + +2023-08-11 00:38:32,797 - train: [ INFO] - Train: 85 [ 0/41 ( 0%)] Loss: 0.211620 (0.2116) Acc@1: 35.8333 (35.8333) Acc@5: 76.6667 (76.6667) Time: 3.680s, 32.61/s LR: 3.652e-04 P_Replacement: 0.0 + +2023-08-11 00:38:58,035 - train: [ INFO] - Train: 85 [ 40/41 (100%)] Loss: 0.203082 (0.1961) Acc@1: 35.8333 (41.8089) Acc@5: 78.3333 (81.1382) Time: 0.705s, 170.15/s LR: 3.652e-04 P_Replacement: 0.0 + +2023-08-11 00:39:01,177 - train: [ INFO] - Test: [ 0/16] Time: 2.046 (2.046) Loss: 3.0906 (3.0906) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 45.0000 (45.0000) + +2023-08-11 00:39:04,423 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.311) Loss: 3.0072 (2.9838) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (16.1000)Acc@5: 42.5000 (49.1500) + +2023-08-11 00:39:09,719 - train: [ INFO] - Train: 86 [ 0/41 ( 0%)] Loss: 0.192921 (0.1929) Acc@1: 46.6667 (46.6667) Acc@5: 87.5000 (87.5000) Time: 4.101s, 29.26/s LR: 3.608e-04 P_Replacement: 0.0 + +2023-08-11 00:39:35,400 - train: [ INFO] - Train: 86 [ 40/41 (100%)] Loss: 0.196596 (0.1901) Acc@1: 38.3333 (43.3943) Acc@5: 86.6667 (82.1951) Time: 0.726s, 165.22/s LR: 3.608e-04 P_Replacement: 0.0 + +2023-08-11 00:39:38,228 - train: [ INFO] - Test: [ 0/16] Time: 1.910 (1.910) Loss: 3.0072 (3.0072) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 48.3333 (48.3333) + +2023-08-11 00:39:41,849 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.325) Loss: 2.8073 (2.9167) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (16.4000)Acc@5: 52.5000 (51.7500) + +2023-08-11 00:39:46,615 - train: [ INFO] - Train: 87 [ 0/41 ( 0%)] Loss: 0.175794 (0.1758) Acc@1: 46.6667 (46.6667) Acc@5: 90.8333 (90.8333) Time: 3.604s, 33.29/s LR: 3.564e-04 P_Replacement: 0.0 + +2023-08-11 00:40:12,545 - train: [ INFO] - Train: 87 [ 40/41 (100%)] Loss: 0.185613 (0.1874) Acc@1: 45.8333 (43.8618) Acc@5: 81.6667 (82.6829) Time: 0.720s, 166.60/s LR: 3.564e-04 P_Replacement: 0.0 + +2023-08-11 00:40:15,451 - train: [ INFO] - Test: [ 0/16] Time: 1.911 (1.911) Loss: 3.1153 (3.1153) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 46.6667 (46.6667) + +2023-08-11 00:40:18,543 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.294) Loss: 2.7899 (3.0046) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (14.1000)Acc@5: 60.0000 (51.3500) + +2023-08-11 00:40:23,650 - train: [ INFO] - Train: 88 [ 0/41 ( 0%)] Loss: 0.189231 (0.1892) Acc@1: 40.8333 (40.8333) Acc@5: 78.3333 (78.3333) Time: 3.759s, 31.92/s LR: 3.519e-04 P_Replacement: 0.0 + +2023-08-11 00:40:49,408 - train: [ INFO] - Train: 88 [ 40/41 (100%)] Loss: 0.193069 (0.1847) Acc@1: 36.6667 (45.2439) Acc@5: 80.8333 (82.8659) Time: 0.720s, 166.69/s LR: 3.519e-04 P_Replacement: 0.0 + +2023-08-11 00:40:52,592 - train: [ INFO] - Test: [ 0/16] Time: 2.080 (2.080) Loss: 2.9300 (2.9300) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 49.1667 (49.1667) + +2023-08-11 00:40:55,717 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.306) Loss: 2.7209 (2.8615) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (16.7000)Acc@5: 53.7500 (53.1500) + +2023-08-11 00:41:00,936 - train: [ INFO] - Train: 89 [ 0/41 ( 0%)] Loss: 0.180304 (0.1803) Acc@1: 45.0000 (45.0000) Acc@5: 83.3333 (83.3333) Time: 4.069s, 29.49/s LR: 3.475e-04 P_Replacement: 0.0 + +2023-08-11 00:41:26,417 - train: [ INFO] - Train: 89 [ 40/41 (100%)] Loss: 0.179611 (0.1847) Acc@1: 44.1667 (45.2033) Acc@5: 85.0000 (82.3781) Time: 0.721s, 166.51/s LR: 3.475e-04 P_Replacement: 0.0 + +2023-08-11 00:41:29,527 - train: [ INFO] - Test: [ 0/16] Time: 2.107 (2.107) Loss: 3.0389 (3.0389) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 53.3333 (53.3333) + +2023-08-11 00:41:32,689 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.310) Loss: 3.0780 (2.9455) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.9000)Acc@5: 55.0000 (52.1000) + +2023-08-11 00:41:37,675 - train: [ INFO] - Train: 90 [ 0/41 ( 0%)] Loss: 0.181790 (0.1818) Acc@1: 45.0000 (45.0000) Acc@5: 82.5000 (82.5000) Time: 3.679s, 32.61/s LR: 3.430e-04 P_Replacement: 0.0 + +2023-08-11 00:42:03,265 - train: [ INFO] - Train: 90 [ 40/41 (100%)] Loss: 0.182633 (0.1790) Acc@1: 45.8333 (45.5894) Acc@5: 82.5000 (84.2480) Time: 0.714s, 168.11/s LR: 3.430e-04 P_Replacement: 0.0 + +2023-08-11 00:42:06,058 - train: [ INFO] - Test: [ 0/16] Time: 1.769 (1.769) Loss: 3.0764 (3.0764) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 48.3333 (48.3333) + +2023-08-11 00:42:09,645 - train: [ INFO] - Test: [ 16/16] Time: 0.402 (0.315) Loss: 2.9653 (3.0320) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (14.2500)Acc@5: 51.2500 (50.0500) + +2023-08-11 00:42:14,538 - train: [ INFO] - Train: 91 [ 0/41 ( 0%)] Loss: 0.183800 (0.1838) Acc@1: 47.5000 (47.5000) Acc@5: 85.8333 (85.8333) Time: 3.701s, 32.42/s LR: 3.385e-04 P_Replacement: 0.0 + +2023-08-11 00:42:40,254 - train: [ INFO] - Train: 91 [ 40/41 (100%)] Loss: 0.179196 (0.1752) Acc@1: 44.1667 (47.0325) Acc@5: 79.1667 (83.7805) Time: 0.717s, 167.26/s LR: 3.385e-04 P_Replacement: 0.0 + +2023-08-11 00:42:43,247 - train: [ INFO] - Test: [ 0/16] Time: 2.092 (2.092) Loss: 3.2147 (3.2147) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 43.3333 (43.3333) + +2023-08-11 00:42:46,555 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.318) Loss: 2.9763 (2.9903) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (14.9500)Acc@5: 47.5000 (50.2000) + +2023-08-11 00:42:51,647 - train: [ INFO] - Train: 92 [ 0/41 ( 0%)] Loss: 0.181647 (0.1816) Acc@1: 46.6667 (46.6667) Acc@5: 82.5000 (82.5000) Time: 3.887s, 30.87/s LR: 3.341e-04 P_Replacement: 0.0 + +2023-08-11 00:43:17,230 - train: [ INFO] - Train: 92 [ 40/41 (100%)] Loss: 0.173612 (0.1759) Acc@1: 45.8333 (46.0366) Acc@5: 86.6667 (83.9634) Time: 0.719s, 166.96/s LR: 3.341e-04 P_Replacement: 0.0 + +2023-08-11 00:43:20,392 - train: [ INFO] - Test: [ 0/16] Time: 2.176 (2.176) Loss: 3.0238 (3.0238) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 45.0000 (45.0000) + +2023-08-11 00:43:23,592 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.316) Loss: 2.9707 (3.0399) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (13.3000)Acc@5: 50.0000 (49.7000) + +2023-08-11 00:43:28,278 - train: [ INFO] - Train: 93 [ 0/41 ( 0%)] Loss: 0.169643 (0.1696) Acc@1: 46.6667 (46.6667) Acc@5: 84.1667 (84.1667) Time: 3.425s, 35.03/s LR: 3.296e-04 P_Replacement: 0.0 + +2023-08-11 00:43:53,742 - train: [ INFO] - Train: 93 [ 40/41 (100%)] Loss: 0.166223 (0.1725) Acc@1: 50.8333 (46.7683) Acc@5: 88.3333 (84.2276) Time: 0.705s, 170.33/s LR: 3.296e-04 P_Replacement: 0.0 + +2023-08-11 00:43:56,575 - train: [ INFO] - Test: [ 0/16] Time: 1.870 (1.870) Loss: 2.9244 (2.9244) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 50.8333 (50.8333) + +2023-08-11 00:43:59,670 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.292) Loss: 3.2359 (2.9626) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (14.6000)Acc@5: 41.2500 (50.7500) + +2023-08-11 00:44:04,875 - train: [ INFO] - Train: 94 [ 0/41 ( 0%)] Loss: 0.177548 (0.1775) Acc@1: 51.6667 (51.6667) Acc@5: 82.5000 (82.5000) Time: 3.894s, 30.82/s LR: 3.251e-04 P_Replacement: 0.0 + +2023-08-11 00:44:30,075 - train: [ INFO] - Train: 94 [ 40/41 (100%)] Loss: 0.168445 (0.1694) Acc@1: 50.0000 (48.8008) Acc@5: 75.8333 (85.2846) Time: 0.710s, 169.12/s LR: 3.251e-04 P_Replacement: 0.0 + +2023-08-11 00:44:33,032 - train: [ INFO] - Test: [ 0/16] Time: 1.906 (1.906) Loss: 2.9986 (2.9986) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 51.6667 (51.6667) + +2023-08-11 00:44:36,179 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.297) Loss: 2.9551 (2.9270) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (14.6500)Acc@5: 51.2500 (51.9000) + +2023-08-11 00:44:41,269 - train: [ INFO] - Train: 95 [ 0/41 ( 0%)] Loss: 0.153225 (0.1532) Acc@1: 56.6667 (56.6667) Acc@5: 87.5000 (87.5000) Time: 3.956s, 30.33/s LR: 3.206e-04 P_Replacement: 0.0 + +2023-08-11 00:45:07,010 - train: [ INFO] - Train: 95 [ 40/41 (100%)] Loss: 0.159949 (0.1669) Acc@1: 50.0000 (48.9837) Acc@5: 85.8333 (85.6301) Time: 0.724s, 165.69/s LR: 3.206e-04 P_Replacement: 0.0 + +2023-08-11 00:45:09,891 - train: [ INFO] - Test: [ 0/16] Time: 1.784 (1.784) Loss: 2.8505 (2.8505) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 57.5000 (57.5000) + +2023-08-11 00:45:13,409 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.312) Loss: 3.1589 (3.1762) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (12.6000)Acc@5: 52.5000 (48.9000) + +2023-08-11 00:45:18,139 - train: [ INFO] - Train: 96 [ 0/41 ( 0%)] Loss: 0.164668 (0.1647) Acc@1: 45.8333 (45.8333) Acc@5: 85.8333 (85.8333) Time: 3.503s, 34.26/s LR: 3.161e-04 P_Replacement: 0.0 + +2023-08-11 00:45:43,827 - train: [ INFO] - Train: 96 [ 40/41 (100%)] Loss: 0.163030 (0.1632) Acc@1: 50.8333 (48.8821) Acc@5: 84.1667 (85.8333) Time: 0.712s, 168.56/s LR: 3.161e-04 P_Replacement: 0.0 + +2023-08-11 00:45:46,692 - train: [ INFO] - Test: [ 0/16] Time: 1.804 (1.804) Loss: 2.9895 (2.9895) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 50.0000 (50.0000) + +2023-08-11 00:45:49,814 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.290) Loss: 2.9968 (2.9884) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (15.4000)Acc@5: 45.0000 (50.6500) + +2023-08-11 00:45:54,652 - train: [ INFO] - Train: 97 [ 0/41 ( 0%)] Loss: 0.166045 (0.1660) Acc@1: 48.3333 (48.3333) Acc@5: 88.3333 (88.3333) Time: 3.564s, 33.67/s LR: 3.115e-04 P_Replacement: 0.0 + +2023-08-11 00:46:20,035 - train: [ INFO] - Train: 97 [ 40/41 (100%)] Loss: 0.161426 (0.1590) Acc@1: 48.3333 (50.6504) Acc@5: 88.3333 (86.3821) Time: 0.706s, 169.98/s LR: 3.115e-04 P_Replacement: 0.0 + +2023-08-11 00:46:23,192 - train: [ INFO] - Test: [ 0/16] Time: 2.013 (2.013) Loss: 3.2656 (3.2656) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 47.5000 (47.5000) + +2023-08-11 00:46:26,326 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.303) Loss: 3.0356 (3.0345) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (14.8500)Acc@5: 47.5000 (51.1500) + +2023-08-11 00:46:30,953 - train: [ INFO] - Train: 98 [ 0/41 ( 0%)] Loss: 0.157047 (0.1570) Acc@1: 45.0000 (45.0000) Acc@5: 91.6667 (91.6667) Time: 3.401s, 35.29/s LR: 3.070e-04 P_Replacement: 0.0 + +2023-08-11 00:46:56,129 - train: [ INFO] - Train: 98 [ 40/41 (100%)] Loss: 0.178172 (0.1583) Acc@1: 44.1667 (49.8577) Acc@5: 86.6667 (87.4187) Time: 0.697s, 172.18/s LR: 3.070e-04 P_Replacement: 0.0 + +2023-08-11 00:46:58,986 - train: [ INFO] - Test: [ 0/16] Time: 1.778 (1.778) Loss: 3.2296 (3.2296) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 50.8333 (50.8333) + +2023-08-11 00:47:02,566 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.315) Loss: 3.0083 (3.2861) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (12.0000)Acc@5: 55.0000 (46.9500) + +2023-08-11 00:47:07,189 - train: [ INFO] - Train: 99 [ 0/41 ( 0%)] Loss: 0.141706 (0.1417) Acc@1: 60.0000 (60.0000) Acc@5: 94.1667 (94.1667) Time: 3.368s, 35.63/s LR: 3.025e-04 P_Replacement: 0.0 + +2023-08-11 00:47:32,573 - train: [ INFO] - Train: 99 [ 40/41 (100%)] Loss: 0.146627 (0.1542) Acc@1: 54.1667 (51.6463) Acc@5: 89.1667 (87.8252) Time: 0.701s, 171.13/s LR: 3.025e-04 P_Replacement: 0.0 + +2023-08-11 00:47:35,426 - train: [ INFO] - Test: [ 0/16] Time: 1.756 (1.756) Loss: 2.7552 (2.7552) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 59.1667 (59.1667) + +2023-08-11 00:47:38,611 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.291) Loss: 3.3155 (3.0133) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 (15.2000)Acc@5: 42.5000 (50.2000) + +2023-08-11 00:47:43,634 - train: [ INFO] - Train: 100 [ 0/41 ( 0%)] Loss: 0.141884 (0.1419) Acc@1: 56.6667 (56.6667) Acc@5: 92.5000 (92.5000) Time: 3.908s, 30.71/s LR: 2.980e-04 P_Replacement: 0.0 + +2023-08-11 00:48:08,871 - train: [ INFO] - Train: 100 [ 40/41 (100%)] Loss: 0.142977 (0.1529) Acc@1: 55.0000 (52.4594) Acc@5: 90.8333 (88.1504) Time: 0.711s, 168.83/s LR: 2.980e-04 P_Replacement: 0.0 + +2023-08-11 00:48:12,093 - train: [ INFO] - Test: [ 0/16] Time: 2.177 (2.177) Loss: 2.9572 (2.9572) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 50.8333 (50.8333) + +2023-08-11 00:48:15,289 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.316) Loss: 3.1934 (3.1914) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (13.1500)Acc@5: 42.5000 (46.2000) + +2023-08-11 00:48:19,796 - train: [ INFO] - Train: 101 [ 0/41 ( 0%)] Loss: 5.402299 (5.4023) Acc@1: 51.6667 (51.6667) Acc@5: 85.0000 (85.0000) Time: 3.401s, 35.29/s LR: 2.934e-04 P_Replacement: 1.0 + +2023-08-11 00:48:45,464 - train: [ INFO] - Train: 101 [ 40/41 (100%)] Loss: 2.997365 (3.1885) Acc@1: 21.6667 (21.8902) Acc@5: 57.5000 (58.4350) Time: 0.709s, 169.26/s LR: 2.934e-04 P_Replacement: 1.0 + +2023-08-11 00:48:48,156 - train: [ INFO] - Test: [ 0/16] Time: 1.793 (1.793) Loss: 2.7085 (2.7085) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 52.5000 (52.5000) + +2023-08-11 00:48:51,257 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.288) Loss: 2.5898 (2.7153) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (16.7000)Acc@5: 58.7500 (53.5000) + +2023-08-11 00:48:56,046 - train: [ INFO] - Train: 102 [ 0/41 ( 0%)] Loss: 2.840172 (2.8402) Acc@1: 24.1667 (24.1667) Acc@5: 59.1667 (59.1667) Time: 3.571s, 33.60/s LR: 2.889e-04 P_Replacement: 1.0 + +2023-08-11 00:49:21,782 - train: [ INFO] - Train: 102 [ 40/41 (100%)] Loss: 2.523396 (2.7245) Acc@1: 33.3333 (24.7764) Acc@5: 69.1667 (63.7805) Time: 0.715s, 167.89/s LR: 2.889e-04 P_Replacement: 1.0 + +2023-08-11 00:49:24,909 - train: [ INFO] - Test: [ 0/16] Time: 1.958 (1.958) Loss: 2.5305 (2.5305) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 63.3333 (63.3333) + +2023-08-11 00:49:28,011 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.298) Loss: 2.6759 (2.5493) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (21.0000)Acc@5: 55.0000 (59.9500) + +2023-08-11 00:49:29,160 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-102.pth.tar', 21.00000102996826) + +2023-08-11 00:49:32,970 - train: [ INFO] - Train: 103 [ 0/41 ( 0%)] Loss: 2.587167 (2.5872) Acc@1: 30.0000 (30.0000) Acc@5: 65.0000 (65.0000) Time: 3.790s, 31.66/s LR: 2.844e-04 P_Replacement: 1.0 + +2023-08-11 00:49:58,372 - train: [ INFO] - Train: 103 [ 40/41 (100%)] Loss: 2.501957 (2.6201) Acc@1: 27.5000 (27.7439) Acc@5: 69.1667 (67.1138) Time: 0.712s, 168.56/s LR: 2.844e-04 P_Replacement: 1.0 + +2023-08-11 00:50:01,096 - train: [ INFO] - Test: [ 0/16] Time: 1.785 (1.785) Loss: 2.3939 (2.3939) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 61.6667 (61.6667) + +2023-08-11 00:50:04,716 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.318) Loss: 2.2775 (2.4820) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (23.5500)Acc@5: 66.2500 (61.4000) + +2023-08-11 00:50:05,766 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-103.pth.tar', 23.550001068115236) + +2023-08-11 00:50:09,151 - train: [ INFO] - Train: 104 [ 0/41 ( 0%)] Loss: 2.533501 (2.5335) Acc@1: 24.1667 (24.1667) Acc@5: 74.1667 (74.1667) Time: 3.367s, 35.64/s LR: 2.799e-04 P_Replacement: 1.0 + +2023-08-11 00:50:34,822 - train: [ INFO] - Train: 104 [ 40/41 (100%)] Loss: 2.406290 (2.5300) Acc@1: 33.3333 (31.5244) Acc@5: 81.6667 (70.6301) Time: 0.708s, 169.44/s LR: 2.799e-04 P_Replacement: 1.0 + +2023-08-11 00:50:37,695 - train: [ INFO] - Test: [ 0/16] Time: 1.756 (1.756) Loss: 2.4419 (2.4419) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 66.6667 (66.6667) + +2023-08-11 00:50:40,790 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.285) Loss: 2.3672 (2.4756) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (23.7000)Acc@5: 65.0000 (61.3000) + +2023-08-11 00:50:42,464 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-104.pth.tar', 23.700001182556154) + +2023-08-11 00:50:46,074 - train: [ INFO] - Train: 105 [ 0/41 ( 0%)] Loss: 2.483828 (2.4838) Acc@1: 30.8333 (30.8333) Acc@5: 70.8333 (70.8333) Time: 3.591s, 33.42/s LR: 2.754e-04 P_Replacement: 1.0 + +2023-08-11 00:51:11,269 - train: [ INFO] - Train: 105 [ 40/41 (100%)] Loss: 2.460845 (2.4813) Acc@1: 30.0000 (32.2764) Acc@5: 71.6667 (72.6829) Time: 0.702s, 170.93/s LR: 2.754e-04 P_Replacement: 1.0 + +2023-08-11 00:51:14,310 - train: [ INFO] - Test: [ 0/16] Time: 1.823 (1.823) Loss: 2.5845 (2.5845) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 58.3333 (58.3333) + +2023-08-11 00:51:17,527 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.297) Loss: 2.4772 (2.4586) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (23.6000)Acc@5: 63.7500 (62.7000) + +2023-08-11 00:51:21,998 - train: [ INFO] - Train: 106 [ 0/41 ( 0%)] Loss: 2.508660 (2.5087) Acc@1: 35.0000 (35.0000) Acc@5: 65.8333 (65.8333) Time: 3.369s, 35.62/s LR: 2.709e-04 P_Replacement: 1.0 + +2023-08-11 00:51:47,958 - train: [ INFO] - Train: 106 [ 40/41 (100%)] Loss: 2.592298 (2.4053) Acc@1: 34.1667 (35.6911) Acc@5: 65.0000 (74.2683) Time: 0.715s, 167.76/s LR: 2.709e-04 P_Replacement: 1.0 + +2023-08-11 00:51:50,835 - train: [ INFO] - Test: [ 0/16] Time: 1.926 (1.926) Loss: 2.4604 (2.4604) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 66.6667 (66.6667) + +2023-08-11 00:51:54,417 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.324) Loss: 2.6544 (2.5256) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (22.8500)Acc@5: 61.2500 (63.0000) + +2023-08-11 00:51:59,108 - train: [ INFO] - Train: 107 [ 0/41 ( 0%)] Loss: 2.201988 (2.2020) Acc@1: 40.0000 (40.0000) Acc@5: 78.3333 (78.3333) Time: 3.391s, 35.39/s LR: 2.664e-04 P_Replacement: 1.0 + +2023-08-11 00:52:24,758 - train: [ INFO] - Train: 107 [ 40/41 (100%)] Loss: 2.512943 (2.3348) Acc@1: 28.3333 (36.7683) Acc@5: 75.0000 (76.5650) Time: 0.708s, 169.43/s LR: 2.664e-04 P_Replacement: 1.0 + +2023-08-11 00:52:27,657 - train: [ INFO] - Test: [ 0/16] Time: 1.840 (1.840) Loss: 2.5133 (2.5133) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 61.6667 (61.6667) + +2023-08-11 00:52:30,740 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.290) Loss: 2.4791 (2.5522) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (21.9000)Acc@5: 65.0000 (61.3500) + +2023-08-11 00:52:35,767 - train: [ INFO] - Train: 108 [ 0/41 ( 0%)] Loss: 2.166066 (2.1661) Acc@1: 39.1667 (39.1667) Acc@5: 85.0000 (85.0000) Time: 3.917s, 30.64/s LR: 2.619e-04 P_Replacement: 1.0 + +2023-08-11 00:53:01,428 - train: [ INFO] - Train: 108 [ 40/41 (100%)] Loss: 2.134709 (2.2766) Acc@1: 44.1667 (38.1707) Acc@5: 80.0000 (77.9268) Time: 0.721s, 166.35/s LR: 2.619e-04 P_Replacement: 1.0 + +2023-08-11 00:53:04,599 - train: [ INFO] - Test: [ 0/16] Time: 2.209 (2.209) Loss: 2.3574 (2.3574) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 66.6667 (66.6667) + +2023-08-11 00:53:07,882 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.323) Loss: 2.6616 (2.5524) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.0000)Acc@5: 55.0000 (61.3500) + +2023-08-11 00:53:12,498 - train: [ INFO] - Train: 109 [ 0/41 ( 0%)] Loss: 2.062697 (2.0627) Acc@1: 40.8333 (40.8333) Acc@5: 85.8333 (85.8333) Time: 3.414s, 35.15/s LR: 2.574e-04 P_Replacement: 1.0 + +2023-08-11 00:53:38,319 - train: [ INFO] - Train: 109 [ 40/41 (100%)] Loss: 2.275211 (2.2058) Acc@1: 38.3333 (40.5691) Acc@5: 82.5000 (79.8171) Time: 0.713s, 168.30/s LR: 2.574e-04 P_Replacement: 1.0 + +2023-08-11 00:53:41,045 - train: [ INFO] - Test: [ 0/16] Time: 1.823 (1.823) Loss: 2.4093 (2.4093) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 65.0000 (65.0000) + +2023-08-11 00:53:44,489 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.310) Loss: 2.6682 (2.5637) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (22.7500)Acc@5: 51.2500 (60.2000) + +2023-08-11 00:53:49,150 - train: [ INFO] - Train: 110 [ 0/41 ( 0%)] Loss: 2.153888 (2.1539) Acc@1: 44.1667 (44.1667) Acc@5: 79.1667 (79.1667) Time: 3.500s, 34.28/s LR: 2.529e-04 P_Replacement: 1.0 + +2023-08-11 00:54:14,561 - train: [ INFO] - Train: 110 [ 40/41 (100%)] Loss: 2.173241 (2.1712) Acc@1: 42.5000 (41.9512) Acc@5: 75.8333 (80.8130) Time: 0.705s, 170.19/s LR: 2.529e-04 P_Replacement: 1.0 + +2023-08-11 00:54:17,481 - train: [ INFO] - Test: [ 0/16] Time: 1.803 (1.803) Loss: 2.8946 (2.8946) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 53.3333 (53.3333) + +2023-08-11 00:54:20,626 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.291) Loss: 2.7305 (2.6570) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (21.5500)Acc@5: 65.0000 (59.8000) + +2023-08-11 00:54:25,597 - train: [ INFO] - Train: 111 [ 0/41 ( 0%)] Loss: 2.078824 (2.0788) Acc@1: 42.5000 (42.5000) Acc@5: 80.8333 (80.8333) Time: 3.864s, 31.06/s LR: 2.485e-04 P_Replacement: 1.0 + +2023-08-11 00:54:50,988 - train: [ INFO] - Train: 111 [ 40/41 (100%)] Loss: 2.167134 (2.1282) Acc@1: 45.8333 (43.6382) Acc@5: 80.8333 (81.8293) Time: 0.713s, 168.19/s LR: 2.485e-04 P_Replacement: 1.0 + +2023-08-11 00:54:54,088 - train: [ INFO] - Test: [ 0/16] Time: 2.104 (2.104) Loss: 2.9320 (2.9320) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 53.3333 (53.3333) + +2023-08-11 00:54:57,356 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.316) Loss: 2.5164 (2.5969) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (22.8000)Acc@5: 61.2500 (61.4000) + +2023-08-11 00:55:02,048 - train: [ INFO] - Train: 112 [ 0/41 ( 0%)] Loss: 2.012136 (2.0121) Acc@1: 45.8333 (45.8333) Acc@5: 86.6667 (86.6667) Time: 3.363s, 35.68/s LR: 2.440e-04 P_Replacement: 1.0 + +2023-08-11 00:55:27,448 - train: [ INFO] - Train: 112 [ 40/41 (100%)] Loss: 2.142466 (2.0762) Acc@1: 45.0000 (44.8171) Acc@5: 80.0000 (82.8862) Time: 0.701s, 171.07/s LR: 2.440e-04 P_Replacement: 1.0 + +2023-08-11 00:55:30,212 - train: [ INFO] - Test: [ 0/16] Time: 1.848 (1.848) Loss: 2.8618 (2.8618) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 55.0000 (55.0000) + +2023-08-11 00:55:33,349 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.293) Loss: 2.4570 (2.7291) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (21.0500)Acc@5: 66.2500 (58.2500) + +2023-08-11 00:55:38,239 - train: [ INFO] - Train: 113 [ 0/41 ( 0%)] Loss: 1.877960 (1.8780) Acc@1: 53.3333 (53.3333) Acc@5: 88.3333 (88.3333) Time: 3.438s, 34.90/s LR: 2.396e-04 P_Replacement: 1.0 + +2023-08-11 00:56:03,715 - train: [ INFO] - Train: 113 [ 40/41 (100%)] Loss: 2.006100 (2.0320) Acc@1: 43.3333 (46.5854) Acc@5: 87.5000 (84.3902) Time: 0.705s, 170.21/s LR: 2.396e-04 P_Replacement: 1.0 + +2023-08-11 00:56:06,778 - train: [ INFO] - Test: [ 0/16] Time: 1.987 (1.987) Loss: 2.6626 (2.6626) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 59.1667 (59.1667) + +2023-08-11 00:56:09,891 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.300) Loss: 2.8746 (2.7057) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (22.0000)Acc@5: 55.0000 (58.7500) + +2023-08-11 00:56:14,953 - train: [ INFO] - Train: 114 [ 0/41 ( 0%)] Loss: 1.885231 (1.8852) Acc@1: 50.8333 (50.8333) Acc@5: 83.3333 (83.3333) Time: 3.784s, 31.72/s LR: 2.352e-04 P_Replacement: 1.0 + +2023-08-11 00:56:40,526 - train: [ INFO] - Train: 114 [ 40/41 (100%)] Loss: 2.094684 (1.9822) Acc@1: 48.3333 (48.0894) Acc@5: 82.5000 (85.3049) Time: 0.716s, 167.61/s LR: 2.352e-04 P_Replacement: 1.0 + +2023-08-11 00:56:43,351 - train: [ INFO] - Test: [ 0/16] Time: 1.834 (1.834) Loss: 2.6970 (2.6970) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 67.5000 (67.5000) + +2023-08-11 00:56:46,742 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.307) Loss: 2.6103 (2.6833) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (21.7500)Acc@5: 63.7500 (60.2000) + +2023-08-11 00:56:51,353 - train: [ INFO] - Train: 115 [ 0/41 ( 0%)] Loss: 1.920331 (1.9203) Acc@1: 48.3333 (48.3333) Acc@5: 84.1667 (84.1667) Time: 3.359s, 35.72/s LR: 2.307e-04 P_Replacement: 1.0 + +2023-08-11 00:57:17,135 - train: [ INFO] - Train: 115 [ 40/41 (100%)] Loss: 2.008175 (1.9257) Acc@1: 49.1667 (50.6098) Acc@5: 83.3333 (86.2805) Time: 0.711s, 168.85/s LR: 2.307e-04 P_Replacement: 1.0 + +2023-08-11 00:57:19,880 - train: [ INFO] - Test: [ 0/16] Time: 1.786 (1.786) Loss: 2.7736 (2.7736) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 56.6667 (56.6667) + +2023-08-11 00:57:22,976 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.287) Loss: 2.6485 (2.6911) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (22.8000)Acc@5: 61.2500 (61.2500) + +2023-08-11 00:57:28,124 - train: [ INFO] - Train: 116 [ 0/41 ( 0%)] Loss: 1.852253 (1.8523) Acc@1: 53.3333 (53.3333) Acc@5: 88.3333 (88.3333) Time: 3.599s, 33.34/s LR: 2.264e-04 P_Replacement: 1.0 + +2023-08-11 00:57:53,644 - train: [ INFO] - Train: 116 [ 40/41 (100%)] Loss: 1.930937 (1.8904) Acc@1: 50.8333 (51.7073) Acc@5: 89.1667 (87.1748) Time: 0.710s, 168.98/s LR: 2.264e-04 P_Replacement: 1.0 + +2023-08-11 00:57:56,748 - train: [ INFO] - Test: [ 0/16] Time: 1.964 (1.964) Loss: 2.7585 (2.7585) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 56.6667 (56.6667) + +2023-08-11 00:58:00,014 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.308) Loss: 2.9202 (2.7126) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (21.2500)Acc@5: 56.2500 (59.6500) + +2023-08-11 00:58:04,829 - train: [ INFO] - Train: 117 [ 0/41 ( 0%)] Loss: 1.955369 (1.9554) Acc@1: 45.8333 (45.8333) Acc@5: 89.1667 (89.1667) Time: 3.625s, 33.10/s LR: 2.220e-04 P_Replacement: 1.0 + +2023-08-11 00:58:30,405 - train: [ INFO] - Train: 117 [ 40/41 (100%)] Loss: 1.741646 (1.8552) Acc@1: 61.6667 (52.4187) Acc@5: 90.8333 (87.8455) Time: 0.712s, 168.49/s LR: 2.220e-04 P_Replacement: 1.0 + +2023-08-11 00:58:33,201 - train: [ INFO] - Test: [ 0/16] Time: 1.814 (1.814) Loss: 2.4776 (2.4776) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 63.3333 (63.3333) + +2023-08-11 00:58:36,675 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.311) Loss: 2.7077 (2.5956) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (23.0500)Acc@5: 57.5000 (62.3000) + +2023-08-11 00:58:41,387 - train: [ INFO] - Train: 118 [ 0/41 ( 0%)] Loss: 1.849602 (1.8496) Acc@1: 54.1667 (54.1667) Acc@5: 85.8333 (85.8333) Time: 3.437s, 34.92/s LR: 2.176e-04 P_Replacement: 1.0 + +2023-08-11 00:59:06,910 - train: [ INFO] - Train: 118 [ 40/41 (100%)] Loss: 1.750872 (1.7937) Acc@1: 46.6667 (54.3089) Acc@5: 92.5000 (89.2480) Time: 0.706s, 169.90/s LR: 2.176e-04 P_Replacement: 1.0 + +2023-08-11 00:59:09,624 - train: [ INFO] - Test: [ 0/16] Time: 1.778 (1.778) Loss: 2.8286 (2.8286) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 58.3333 (58.3333) + +2023-08-11 00:59:12,752 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.289) Loss: 2.5697 (2.7082) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (21.8500)Acc@5: 61.2500 (60.2500) + +2023-08-11 00:59:17,823 - train: [ INFO] - Train: 119 [ 0/41 ( 0%)] Loss: 1.711649 (1.7116) Acc@1: 54.1667 (54.1667) Acc@5: 93.3333 (93.3333) Time: 3.793s, 31.64/s LR: 2.133e-04 P_Replacement: 1.0 + +2023-08-11 00:59:43,193 - train: [ INFO] - Train: 119 [ 40/41 (100%)] Loss: 1.609773 (1.7616) Acc@1: 56.6667 (55.5691) Acc@5: 96.6667 (89.2683) Time: 0.711s, 168.72/s LR: 2.133e-04 P_Replacement: 1.0 + +2023-08-11 00:59:46,167 - train: [ INFO] - Test: [ 0/16] Time: 2.032 (2.032) Loss: 2.6961 (2.6961) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 65.8333 (65.8333) + +2023-08-11 00:59:49,471 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.314) Loss: 2.7866 (2.7087) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (21.5500)Acc@5: 57.5000 (60.2000) + +2023-08-11 00:59:53,935 - train: [ INFO] - Train: 120 [ 0/41 ( 0%)] Loss: 1.523744 (1.5237) Acc@1: 65.0000 (65.0000) Acc@5: 95.0000 (95.0000) Time: 3.380s, 35.50/s LR: 2.090e-04 P_Replacement: 1.0 + +2023-08-11 01:00:18,987 - train: [ INFO] - Train: 120 [ 40/41 (100%)] Loss: 1.835423 (1.7090) Acc@1: 52.5000 (57.2155) Acc@5: 90.8333 (90.5488) Time: 0.693s, 173.05/s LR: 2.090e-04 P_Replacement: 1.0 + +2023-08-11 01:00:21,799 - train: [ INFO] - Test: [ 0/16] Time: 1.776 (1.776) Loss: 3.0112 (3.0112) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 55.0000 (55.0000) + +2023-08-11 01:00:24,928 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.288) Loss: 2.7559 (2.8031) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 62.5000 (58.4000) + +2023-08-11 01:00:29,563 - train: [ INFO] - Train: 121 [ 0/41 ( 0%)] Loss: 1.806981 (1.8070) Acc@1: 54.1667 (54.1667) Acc@5: 86.6667 (86.6667) Time: 3.455s, 34.73/s LR: 2.047e-04 P_Replacement: 1.0 + +2023-08-11 01:00:54,884 - train: [ INFO] - Train: 121 [ 40/41 (100%)] Loss: 1.731099 (1.6595) Acc@1: 60.0000 (58.6585) Acc@5: 88.3333 (91.4024) Time: 0.702s, 170.99/s LR: 2.047e-04 P_Replacement: 1.0 + +2023-08-11 01:00:58,050 - train: [ INFO] - Test: [ 0/16] Time: 1.906 (1.906) Loss: 2.7108 (2.7108) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 57.5000 (57.5000) + +2023-08-11 01:01:01,136 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.294) Loss: 2.6675 (2.6518) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (23.7000)Acc@5: 62.5000 (61.8500) + +2023-08-11 01:01:05,763 - train: [ INFO] - Train: 122 [ 0/41 ( 0%)] Loss: 1.454239 (1.4542) Acc@1: 60.8333 (60.8333) Acc@5: 95.0000 (95.0000) Time: 3.393s, 35.36/s LR: 2.004e-04 P_Replacement: 1.0 + +2023-08-11 01:01:31,088 - train: [ INFO] - Train: 122 [ 40/41 (100%)] Loss: 1.634148 (1.6305) Acc@1: 57.5000 (59.6951) Acc@5: 91.6667 (92.0325) Time: 0.700s, 171.33/s LR: 2.004e-04 P_Replacement: 1.0 + +2023-08-11 01:01:33,948 - train: [ INFO] - Test: [ 0/16] Time: 1.794 (1.794) Loss: 3.0192 (3.0192) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 59.1667 (59.1667) + +2023-08-11 01:01:37,337 - train: [ INFO] - Test: [ 16/16] Time: 0.146 (0.305) Loss: 3.0165 (3.2406) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (17.6000)Acc@5: 56.2500 (53.6000) + +2023-08-11 01:01:41,876 - train: [ INFO] - Train: 123 [ 0/41 ( 0%)] Loss: 1.443978 (1.4440) Acc@1: 68.3333 (68.3333) Acc@5: 91.6667 (91.6667) Time: 3.445s, 34.83/s LR: 1.962e-04 P_Replacement: 1.0 + +2023-08-11 01:02:07,024 - train: [ INFO] - Train: 123 [ 40/41 (100%)] Loss: 1.564216 (1.5871) Acc@1: 57.5000 (61.3008) Acc@5: 91.6667 (92.2561) Time: 0.697s, 172.08/s LR: 1.962e-04 P_Replacement: 1.0 + +2023-08-11 01:02:09,955 - train: [ INFO] - Test: [ 0/16] Time: 1.822 (1.822) Loss: 2.8996 (2.8996) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 57.5000 (57.5000) + +2023-08-11 01:02:13,140 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.295) Loss: 2.9010 (2.8611) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (21.9500)Acc@5: 50.0000 (57.8000) + +2023-08-11 01:02:18,111 - train: [ INFO] - Train: 124 [ 0/41 ( 0%)] Loss: 1.628529 (1.6285) Acc@1: 61.6667 (61.6667) Acc@5: 93.3333 (93.3333) Time: 3.698s, 32.45/s LR: 1.920e-04 P_Replacement: 1.0 + +2023-08-11 01:02:43,408 - train: [ INFO] - Train: 124 [ 40/41 (100%)] Loss: 1.701590 (1.5377) Acc@1: 65.0000 (63.4553) Acc@5: 87.5000 (92.6220) Time: 0.707s, 169.70/s LR: 1.920e-04 P_Replacement: 1.0 + +2023-08-11 01:02:46,614 - train: [ INFO] - Test: [ 0/16] Time: 2.106 (2.106) Loss: 2.8102 (2.8102) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:02:49,964 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.321) Loss: 2.4202 (2.8066) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (21.5500)Acc@5: 72.5000 (60.9000) + +2023-08-11 01:02:54,611 - train: [ INFO] - Train: 125 [ 0/41 ( 0%)] Loss: 1.395667 (1.3957) Acc@1: 67.5000 (67.5000) Acc@5: 95.0000 (95.0000) Time: 3.435s, 34.94/s LR: 1.878e-04 P_Replacement: 1.0 + +2023-08-11 01:03:20,047 - train: [ INFO] - Train: 125 [ 40/41 (100%)] Loss: 1.848512 (1.5063) Acc@1: 55.8333 (64.8374) Acc@5: 88.3333 (93.5569) Time: 0.704s, 170.43/s LR: 1.878e-04 P_Replacement: 1.0 + +2023-08-11 01:03:22,881 - train: [ INFO] - Test: [ 0/16] Time: 1.800 (1.800) Loss: 2.5011 (2.5011) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 68.3333 (68.3333) + +2023-08-11 01:03:26,015 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.290) Loss: 2.6098 (2.7043) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (22.5500)Acc@5: 67.5000 (61.7500) + +2023-08-11 01:03:31,057 - train: [ INFO] - Train: 126 [ 0/41 ( 0%)] Loss: 1.278812 (1.2788) Acc@1: 71.6667 (71.6667) Acc@5: 96.6667 (96.6667) Time: 3.507s, 34.22/s LR: 1.836e-04 P_Replacement: 1.0 + +2023-08-11 01:03:56,353 - train: [ INFO] - Train: 126 [ 40/41 (100%)] Loss: 1.424709 (1.4713) Acc@1: 66.6667 (66.0569) Acc@5: 97.5000 (94.5325) Time: 0.702s, 170.83/s LR: 1.836e-04 P_Replacement: 1.0 + +2023-08-11 01:03:59,370 - train: [ INFO] - Test: [ 0/16] Time: 1.935 (1.935) Loss: 3.1908 (3.1908) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 51.6667 (51.6667) + +2023-08-11 01:04:02,657 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.307) Loss: 2.7573 (3.0667) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (21.1500)Acc@5: 70.0000 (57.7000) + +2023-08-11 01:04:07,653 - train: [ INFO] - Train: 127 [ 0/41 ( 0%)] Loss: 1.311228 (1.3112) Acc@1: 73.3333 (73.3333) Acc@5: 96.6667 (96.6667) Time: 3.691s, 32.51/s LR: 1.795e-04 P_Replacement: 1.0 + +2023-08-11 01:04:32,823 - train: [ INFO] - Train: 127 [ 40/41 (100%)] Loss: 1.441158 (1.4136) Acc@1: 70.8333 (67.5000) Acc@5: 96.6667 (95.1220) Time: 0.704s, 170.49/s LR: 1.795e-04 P_Replacement: 1.0 + +2023-08-11 01:04:35,699 - train: [ INFO] - Test: [ 0/16] Time: 1.785 (1.785) Loss: 3.1316 (3.1316) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 59.1667 (59.1667) + +2023-08-11 01:04:39,440 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.325) Loss: 2.6810 (2.9090) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (22.1500)Acc@5: 57.5000 (59.2500) + +2023-08-11 01:04:44,110 - train: [ INFO] - Train: 128 [ 0/41 ( 0%)] Loss: 1.283014 (1.2830) Acc@1: 71.6667 (71.6667) Acc@5: 97.5000 (97.5000) Time: 3.421s, 35.08/s LR: 1.754e-04 P_Replacement: 1.0 + +2023-08-11 01:05:09,308 - train: [ INFO] - Train: 128 [ 40/41 (100%)] Loss: 1.629421 (1.4160) Acc@1: 62.5000 (68.1911) Acc@5: 90.0000 (95.0000) Time: 0.698s, 171.94/s LR: 1.754e-04 P_Replacement: 1.0 + +2023-08-11 01:05:12,102 - train: [ INFO] - Test: [ 0/16] Time: 1.770 (1.770) Loss: 3.1413 (3.1413) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 55.0000 (55.0000) + +2023-08-11 01:05:15,198 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.286) Loss: 3.4297 (3.1903) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (19.4500)Acc@5: 57.5000 (58.0000) + +2023-08-11 01:05:20,186 - train: [ INFO] - Train: 129 [ 0/41 ( 0%)] Loss: 1.338917 (1.3389) Acc@1: 72.5000 (72.5000) Acc@5: 96.6667 (96.6667) Time: 3.544s, 33.86/s LR: 1.713e-04 P_Replacement: 1.0 + +2023-08-11 01:05:45,427 - train: [ INFO] - Train: 129 [ 40/41 (100%)] Loss: 1.595417 (1.3376) Acc@1: 65.0000 (70.7724) Acc@5: 90.8333 (95.8130) Time: 0.702s, 170.93/s LR: 1.713e-04 P_Replacement: 1.0 + +2023-08-11 01:05:48,408 - train: [ INFO] - Test: [ 0/16] Time: 1.974 (1.974) Loss: 3.0880 (3.0880) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 57.5000 (57.5000) + +2023-08-11 01:05:51,665 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.308) Loss: 2.9677 (3.0185) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (20.9500)Acc@5: 53.7500 (57.0500) + +2023-08-11 01:05:56,339 - train: [ INFO] - Train: 130 [ 0/41 ( 0%)] Loss: 1.398540 (1.3985) Acc@1: 68.3333 (68.3333) Acc@5: 91.6667 (91.6667) Time: 3.405s, 35.24/s LR: 1.672e-04 P_Replacement: 1.0 + +2023-08-11 01:06:21,562 - train: [ INFO] - Train: 130 [ 40/41 (100%)] Loss: 1.340869 (1.3212) Acc@1: 70.8333 (71.7886) Acc@5: 96.6667 (96.0163) Time: 0.698s, 171.88/s LR: 1.672e-04 P_Replacement: 1.0 + +2023-08-11 01:06:24,411 - train: [ INFO] - Test: [ 0/16] Time: 1.850 (1.850) Loss: 2.6432 (2.6432) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 62.5000 (62.5000) + +2023-08-11 01:06:27,742 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.305) Loss: 2.8796 (2.8583) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (22.9500)Acc@5: 57.5000 (59.5000) + +2023-08-11 01:06:32,543 - train: [ INFO] - Train: 131 [ 0/41 ( 0%)] Loss: 1.319381 (1.3194) Acc@1: 74.1667 (74.1667) Acc@5: 96.6667 (96.6667) Time: 3.391s, 35.39/s LR: 1.632e-04 P_Replacement: 1.0 + +2023-08-11 01:06:57,713 - train: [ INFO] - Train: 131 [ 40/41 (100%)] Loss: 1.213727 (1.2818) Acc@1: 75.8333 (73.0488) Acc@5: 95.8333 (96.2398) Time: 0.697s, 172.27/s LR: 1.632e-04 P_Replacement: 1.0 + +2023-08-11 01:07:00,592 - train: [ INFO] - Test: [ 0/16] Time: 1.884 (1.884) Loss: 2.9298 (2.9298) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 60.0000 (60.0000) + +2023-08-11 01:07:03,778 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.298) Loss: 3.0592 (2.8566) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (22.6000)Acc@5: 61.2500 (62.3500) + +2023-08-11 01:07:08,620 - train: [ INFO] - Train: 132 [ 0/41 ( 0%)] Loss: 1.155293 (1.1553) Acc@1: 75.0000 (75.0000) Acc@5: 98.3333 (98.3333) Time: 3.749s, 32.01/s LR: 1.592e-04 P_Replacement: 1.0 + +2023-08-11 01:07:33,782 - train: [ INFO] - Train: 132 [ 40/41 (100%)] Loss: 1.338677 (1.2458) Acc@1: 71.6667 (75.0610) Acc@5: 93.3333 (96.7886) Time: 0.705s, 170.19/s LR: 1.592e-04 P_Replacement: 1.0 + +2023-08-11 01:07:36,701 - train: [ INFO] - Test: [ 0/16] Time: 1.805 (1.805) Loss: 3.1180 (3.1180) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 57.5000 (57.5000) + +2023-08-11 01:07:40,193 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.312) Loss: 2.8959 (3.2047) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (21.6000)Acc@5: 60.0000 (58.3500) + +2023-08-11 01:07:44,718 - train: [ INFO] - Train: 133 [ 0/41 ( 0%)] Loss: 1.160758 (1.1608) Acc@1: 79.1667 (79.1667) Acc@5: 99.1667 (99.1667) Time: 3.373s, 35.57/s LR: 1.553e-04 P_Replacement: 1.0 + +2023-08-11 01:08:09,688 - train: [ INFO] - Train: 133 [ 40/41 (100%)] Loss: 1.195001 (1.1955) Acc@1: 78.3333 (76.0163) Acc@5: 97.5000 (97.2968) Time: 0.691s, 173.60/s LR: 1.553e-04 P_Replacement: 1.0 + +2023-08-11 01:08:12,400 - train: [ INFO] - Test: [ 0/16] Time: 1.802 (1.802) Loss: 2.9700 (2.9700) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 63.3333 (63.3333) + +2023-08-11 01:08:15,636 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.296) Loss: 2.9346 (3.0412) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (21.3500)Acc@5: 57.5000 (58.6000) + +2023-08-11 01:08:20,558 - train: [ INFO] - Train: 134 [ 0/41 ( 0%)] Loss: 1.127862 (1.1279) Acc@1: 75.8333 (75.8333) Acc@5: 95.8333 (95.8333) Time: 3.685s, 32.56/s LR: 1.514e-04 P_Replacement: 1.0 + +2023-08-11 01:08:45,785 - train: [ INFO] - Train: 134 [ 40/41 (100%)] Loss: 1.461109 (1.1747) Acc@1: 64.1667 (76.6260) Acc@5: 96.6667 (97.8252) Time: 0.705s, 170.18/s LR: 1.514e-04 P_Replacement: 1.0 + +2023-08-11 01:08:48,769 - train: [ INFO] - Test: [ 0/16] Time: 2.015 (2.015) Loss: 3.0905 (3.0905) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:08:52,031 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.310) Loss: 2.9677 (3.1758) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (20.9500)Acc@5: 63.7500 (58.2500) + +2023-08-11 01:08:56,817 - train: [ INFO] - Train: 135 [ 0/41 ( 0%)] Loss: 1.211248 (1.2112) Acc@1: 76.6667 (76.6667) Acc@5: 95.8333 (95.8333) Time: 3.478s, 34.50/s LR: 1.475e-04 P_Replacement: 1.0 + +2023-08-11 01:09:21,964 - train: [ INFO] - Train: 135 [ 40/41 (100%)] Loss: 1.043025 (1.1515) Acc@1: 83.3333 (78.4756) Acc@5: 99.1667 (97.6423) Time: 0.698s, 171.89/s LR: 1.475e-04 P_Replacement: 1.0 + +2023-08-11 01:09:24,833 - train: [ INFO] - Test: [ 0/16] Time: 1.759 (1.759) Loss: 3.3174 (3.3174) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 63.3333 (63.3333) + +2023-08-11 01:09:27,928 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.286) Loss: 3.5679 (3.2322) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (20.9500)Acc@5: 52.5000 (58.3000) + +2023-08-11 01:09:32,790 - train: [ INFO] - Train: 136 [ 0/41 ( 0%)] Loss: 1.119021 (1.1190) Acc@1: 74.1667 (74.1667) Acc@5: 96.6667 (96.6667) Time: 3.537s, 33.93/s LR: 1.437e-04 P_Replacement: 1.0 + +2023-08-11 01:09:57,743 - train: [ INFO] - Train: 136 [ 40/41 (100%)] Loss: 1.252405 (1.1168) Acc@1: 73.3333 (78.9228) Acc@5: 95.8333 (97.7439) Time: 0.695s, 172.71/s LR: 1.437e-04 P_Replacement: 1.0 + +2023-08-11 01:10:00,732 - train: [ INFO] - Test: [ 0/16] Time: 1.892 (1.892) Loss: 3.2674 (3.2674) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 56.6667 (56.6667) + +2023-08-11 01:10:03,820 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.293) Loss: 3.3702 (3.3038) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (20.1000)Acc@5: 56.2500 (57.1000) + +2023-08-11 01:10:08,447 - train: [ INFO] - Train: 137 [ 0/41 ( 0%)] Loss: 1.204783 (1.2048) Acc@1: 75.8333 (75.8333) Acc@5: 98.3333 (98.3333) Time: 3.399s, 35.30/s LR: 1.399e-04 P_Replacement: 1.0 + +2023-08-11 01:10:33,608 - train: [ INFO] - Train: 137 [ 40/41 (100%)] Loss: 1.128510 (1.0938) Acc@1: 79.1667 (79.9390) Acc@5: 97.5000 (98.2317) Time: 0.696s, 172.30/s LR: 1.399e-04 P_Replacement: 1.0 + +2023-08-11 01:10:36,734 - train: [ INFO] - Test: [ 0/16] Time: 1.986 (1.986) Loss: 3.3972 (3.3972) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 49.1667 (49.1667) + +2023-08-11 01:10:40,142 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.317) Loss: 3.1938 (3.1472) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (21.6500)Acc@5: 60.0000 (58.6000) + +2023-08-11 01:10:44,794 - train: [ INFO] - Train: 138 [ 0/41 ( 0%)] Loss: 1.069300 (1.0693) Acc@1: 77.5000 (77.5000) Acc@5: 99.1667 (99.1667) Time: 3.367s, 35.64/s LR: 1.361e-04 P_Replacement: 1.0 + +2023-08-11 01:11:09,806 - train: [ INFO] - Train: 138 [ 40/41 (100%)] Loss: 1.051841 (1.0537) Acc@1: 85.0000 (81.5854) Acc@5: 97.5000 (98.5569) Time: 0.692s, 173.38/s LR: 1.361e-04 P_Replacement: 1.0 + +2023-08-11 01:11:12,691 - train: [ INFO] - Test: [ 0/16] Time: 1.791 (1.791) Loss: 2.9418 (2.9418) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 63.3333 (63.3333) + +2023-08-11 01:11:15,787 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.287) Loss: 3.0332 (2.9324) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (23.2500)Acc@5: 63.7500 (62.6500) + +2023-08-11 01:11:20,664 - train: [ INFO] - Train: 139 [ 0/41 ( 0%)] Loss: 0.997124 (0.9971) Acc@1: 82.5000 (82.5000) Acc@5: 99.1667 (99.1667) Time: 3.613s, 33.21/s LR: 1.324e-04 P_Replacement: 1.0 + +2023-08-11 01:11:45,843 - train: [ INFO] - Train: 139 [ 40/41 (100%)] Loss: 1.083761 (1.0496) Acc@1: 78.3333 (80.7520) Acc@5: 98.3333 (98.4553) Time: 0.702s, 170.92/s LR: 1.324e-04 P_Replacement: 1.0 + +2023-08-11 01:11:48,519 - train: [ INFO] - Test: [ 0/16] Time: 1.791 (1.791) Loss: 3.1793 (3.1793) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:11:51,935 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.306) Loss: 3.2104 (3.2183) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (21.1000)Acc@5: 58.7500 (59.5000) + +2023-08-11 01:11:56,591 - train: [ INFO] - Train: 140 [ 0/41 ( 0%)] Loss: 0.899058 (0.8991) Acc@1: 85.8333 (85.8333) Acc@5: 99.1667 (99.1667) Time: 3.387s, 35.43/s LR: 1.287e-04 P_Replacement: 1.0 + +2023-08-11 01:12:21,638 - train: [ INFO] - Train: 140 [ 40/41 (100%)] Loss: 1.193144 (1.0327) Acc@1: 79.1667 (82.6626) Acc@5: 99.1667 (98.3537) Time: 0.693s, 173.05/s LR: 1.287e-04 P_Replacement: 1.0 + +2023-08-11 01:12:24,637 - train: [ INFO] - Test: [ 0/16] Time: 1.889 (1.889) Loss: 3.0509 (3.0509) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 60.0000 (60.0000) + +2023-08-11 01:12:27,747 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.294) Loss: 3.2620 (3.1673) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (21.6500)Acc@5: 61.2500 (58.1000) + +2023-08-11 01:12:32,702 - train: [ INFO] - Train: 141 [ 0/41 ( 0%)] Loss: 0.990478 (0.9905) Acc@1: 82.5000 (82.5000) Acc@5: 99.1667 (99.1667) Time: 3.414s, 35.15/s LR: 1.251e-04 P_Replacement: 1.0 + +2023-08-11 01:12:58,050 - train: [ INFO] - Train: 141 [ 40/41 (100%)] Loss: 1.025628 (0.9799) Acc@1: 85.0000 (83.8821) Acc@5: 97.5000 (98.6789) Time: 0.701s, 171.07/s LR: 1.251e-04 P_Replacement: 1.0 + +2023-08-11 01:13:01,196 - train: [ INFO] - Test: [ 0/16] Time: 1.848 (1.848) Loss: 3.0722 (3.0722) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 65.0000 (65.0000) + +2023-08-11 01:13:04,428 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.299) Loss: 3.3266 (3.2893) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (20.4000)Acc@5: 51.2500 (58.0500) + +2023-08-11 01:13:08,964 - train: [ INFO] - Train: 142 [ 0/41 ( 0%)] Loss: 0.885202 (0.8852) Acc@1: 83.3333 (83.3333) Acc@5: 99.1667 (99.1667) Time: 3.415s, 35.14/s LR: 1.215e-04 P_Replacement: 1.0 + +2023-08-11 01:13:34,461 - train: [ INFO] - Train: 142 [ 40/41 (100%)] Loss: 1.005766 (0.9663) Acc@1: 81.6667 (84.3699) Acc@5: 100.0000 (99.0447) Time: 0.705s, 170.27/s LR: 1.215e-04 P_Replacement: 1.0 + +2023-08-11 01:13:37,392 - train: [ INFO] - Test: [ 0/16] Time: 1.859 (1.859) Loss: 3.0574 (3.0574) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:13:40,734 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.306) Loss: 3.4991 (3.3144) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (20.9500)Acc@5: 52.5000 (57.6000) + +2023-08-11 01:13:45,408 - train: [ INFO] - Train: 143 [ 0/41 ( 0%)] Loss: 0.891083 (0.8911) Acc@1: 86.6667 (86.6667) Acc@5: 98.3333 (98.3333) Time: 3.496s, 34.32/s LR: 1.179e-04 P_Replacement: 1.0 + +2023-08-11 01:14:10,975 - train: [ INFO] - Train: 143 [ 40/41 (100%)] Loss: 0.916540 (0.9395) Acc@1: 86.6667 (85.0813) Acc@5: 97.5000 (98.8008) Time: 0.709s, 169.30/s LR: 1.179e-04 P_Replacement: 1.0 + +2023-08-11 01:14:13,848 - train: [ INFO] - Test: [ 0/16] Time: 1.806 (1.806) Loss: 3.2560 (3.2560) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 62.5000 (62.5000) + +2023-08-11 01:14:16,940 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.288) Loss: 3.9806 (3.2931) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (21.6500)Acc@5: 41.2500 (57.1000) + +2023-08-11 01:14:21,881 - train: [ INFO] - Train: 144 [ 0/41 ( 0%)] Loss: 0.830241 (0.8302) Acc@1: 88.3333 (88.3333) Acc@5: 99.1667 (99.1667) Time: 3.681s, 32.60/s LR: 1.144e-04 P_Replacement: 1.0 + +2023-08-11 01:14:47,639 - train: [ INFO] - Train: 144 [ 40/41 (100%)] Loss: 1.040659 (0.9149) Acc@1: 83.3333 (85.7724) Acc@5: 99.1667 (98.9431) Time: 0.718s, 167.14/s LR: 1.144e-04 P_Replacement: 1.0 + +2023-08-11 01:14:50,798 - train: [ INFO] - Test: [ 0/16] Time: 2.115 (2.115) Loss: 3.3323 (3.3323) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 57.5000 (57.5000) + +2023-08-11 01:14:54,110 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.319) Loss: 3.2695 (3.1646) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (22.0000)Acc@5: 57.5000 (58.5500) + +2023-08-11 01:14:58,729 - train: [ INFO] - Train: 145 [ 0/41 ( 0%)] Loss: 0.823964 (0.8240) Acc@1: 90.0000 (90.0000) Acc@5: 99.1667 (99.1667) Time: 3.346s, 35.86/s LR: 1.109e-04 P_Replacement: 1.0 + +2023-08-11 01:15:24,161 - train: [ INFO] - Train: 145 [ 40/41 (100%)] Loss: 0.989726 (0.8805) Acc@1: 86.6667 (87.2155) Acc@5: 98.3333 (99.1667) Time: 0.702s, 170.98/s LR: 1.109e-04 P_Replacement: 1.0 + +2023-08-11 01:15:27,038 - train: [ INFO] - Test: [ 0/16] Time: 1.765 (1.765) Loss: 2.9913 (2.9913) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 66.6667 (66.6667) + +2023-08-11 01:15:30,450 - train: [ INFO] - Test: [ 16/16] Time: 0.234 (0.304) Loss: 3.0342 (3.1188) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (22.6000)Acc@5: 62.5000 (60.5500) + +2023-08-11 01:15:35,268 - train: [ INFO] - Train: 146 [ 0/41 ( 0%)] Loss: 0.807449 (0.8074) Acc@1: 90.0000 (90.0000) Acc@5: 99.1667 (99.1667) Time: 3.569s, 33.63/s LR: 1.075e-04 P_Replacement: 1.0 + +2023-08-11 01:16:00,731 - train: [ INFO] - Train: 146 [ 40/41 (100%)] Loss: 0.843682 (0.8688) Acc@1: 86.6667 (87.5813) Acc@5: 100.0000 (99.2276) Time: 0.708s, 169.48/s LR: 1.075e-04 P_Replacement: 1.0 + +2023-08-11 01:16:03,664 - train: [ INFO] - Test: [ 0/16] Time: 1.919 (1.919) Loss: 3.2615 (3.2615) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 60.0000 (60.0000) + +2023-08-11 01:16:06,824 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.299) Loss: 3.3087 (3.3610) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.1500)Acc@5: 60.0000 (57.6500) + +2023-08-11 01:16:11,717 - train: [ INFO] - Train: 147 [ 0/41 ( 0%)] Loss: 0.821883 (0.8219) Acc@1: 85.0000 (85.0000) Acc@5: 100.0000 (100.0000) Time: 3.655s, 32.84/s LR: 1.042e-04 P_Replacement: 1.0 + +2023-08-11 01:16:36,988 - train: [ INFO] - Train: 147 [ 40/41 (100%)] Loss: 0.909477 (0.8524) Acc@1: 87.5000 (88.3333) Acc@5: 98.3333 (99.5122) Time: 0.705s, 170.11/s LR: 1.042e-04 P_Replacement: 1.0 + +2023-08-11 01:16:39,817 - train: [ INFO] - Test: [ 0/16] Time: 1.812 (1.812) Loss: 3.3188 (3.3188) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 61.6667 (61.6667) + +2023-08-11 01:16:43,295 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.311) Loss: 3.4217 (3.6041) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (19.7000)Acc@5: 57.5000 (55.4500) + +2023-08-11 01:16:47,938 - train: [ INFO] - Train: 148 [ 0/41 ( 0%)] Loss: 0.756161 (0.7562) Acc@1: 89.1667 (89.1667) Acc@5: 100.0000 (100.0000) Time: 3.398s, 35.32/s LR: 1.008e-04 P_Replacement: 1.0 + +2023-08-11 01:17:13,413 - train: [ INFO] - Train: 148 [ 40/41 (100%)] Loss: 0.900164 (0.8208) Acc@1: 89.1667 (89.6951) Acc@5: 100.0000 (99.4919) Time: 0.704s, 170.42/s LR: 1.008e-04 P_Replacement: 1.0 + +2023-08-11 01:17:16,305 - train: [ INFO] - Test: [ 0/16] Time: 1.903 (1.903) Loss: 2.9251 (2.9251) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 61.6667 (61.6667) + +2023-08-11 01:17:19,558 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.303) Loss: 3.4871 (3.2298) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (21.2500)Acc@5: 50.0000 (59.7000) + +2023-08-11 01:17:24,712 - train: [ INFO] - Train: 149 [ 0/41 ( 0%)] Loss: 0.634143 (0.6341) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.965s, 30.27/s LR: 9.757e-05 P_Replacement: 1.0 + +2023-08-11 01:17:49,989 - train: [ INFO] - Train: 149 [ 40/41 (100%)] Loss: 0.912018 (0.8210) Acc@1: 85.0000 (89.0447) Acc@5: 99.1667 (99.4716) Time: 0.713s, 168.26/s LR: 9.757e-05 P_Replacement: 1.0 + +2023-08-11 01:17:53,214 - train: [ INFO] - Test: [ 0/16] Time: 1.921 (1.921) Loss: 3.7441 (3.7441) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 56.6667 (56.6667) + +2023-08-11 01:17:56,360 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.298) Loss: 3.8548 (3.5383) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (19.8000)Acc@5: 46.2500 (57.3000) + +2023-08-11 01:18:01,588 - train: [ INFO] - Train: 150 [ 0/41 ( 0%)] Loss: 0.740465 (0.7405) Acc@1: 89.1667 (89.1667) Acc@5: 100.0000 (100.0000) Time: 3.944s, 30.43/s LR: 9.434e-05 P_Replacement: 1.0 + +2023-08-11 01:18:26,957 - train: [ INFO] - Train: 150 [ 40/41 (100%)] Loss: 0.882584 (0.8018) Acc@1: 85.0000 (89.5935) Acc@5: 100.0000 (99.5325) Time: 0.715s, 167.85/s LR: 9.434e-05 P_Replacement: 1.0 + +2023-08-11 01:18:29,790 - train: [ INFO] - Test: [ 0/16] Time: 1.808 (1.808) Loss: 3.4167 (3.4167) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:18:33,149 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.304) Loss: 3.4502 (3.5203) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (20.7500)Acc@5: 56.2500 (56.4500) + +2023-08-11 01:18:37,711 - train: [ INFO] - Train: 151 [ 0/41 ( 0%)] Loss: 0.782637 (0.7826) Acc@1: 90.8333 (90.8333) Acc@5: 99.1667 (99.1667) Time: 3.414s, 35.15/s LR: 9.117e-05 P_Replacement: 1.0 + +2023-08-11 01:19:03,044 - train: [ INFO] - Train: 151 [ 40/41 (100%)] Loss: 0.820246 (0.7780) Acc@1: 87.5000 (89.9797) Acc@5: 99.1667 (99.5325) Time: 0.701s, 171.16/s LR: 9.117e-05 P_Replacement: 1.0 + +2023-08-11 01:19:05,948 - train: [ INFO] - Test: [ 0/16] Time: 1.796 (1.796) Loss: 3.9693 (3.9693) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 46.6667 (46.6667) + +2023-08-11 01:19:09,202 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.297) Loss: 3.6634 (3.5521) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (20.9500)Acc@5: 58.7500 (57.9000) + +2023-08-11 01:19:14,301 - train: [ INFO] - Train: 152 [ 0/41 ( 0%)] Loss: 0.732976 (0.7330) Acc@1: 89.1667 (89.1667) Acc@5: 100.0000 (100.0000) Time: 3.919s, 30.62/s LR: 8.805e-05 P_Replacement: 1.0 + +2023-08-11 01:19:39,828 - train: [ INFO] - Train: 152 [ 40/41 (100%)] Loss: 0.901867 (0.7796) Acc@1: 85.8333 (90.1626) Acc@5: 99.1667 (99.5529) Time: 0.718s, 167.10/s LR: 8.805e-05 P_Replacement: 1.0 + +2023-08-11 01:19:43,013 - train: [ INFO] - Test: [ 0/16] Time: 2.110 (2.110) Loss: 3.3690 (3.3690) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 59.1667 (59.1667) + +2023-08-11 01:19:46,254 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.315) Loss: 3.5525 (3.5330) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (21.5000)Acc@5: 57.5000 (57.7500) + +2023-08-11 01:19:50,943 - train: [ INFO] - Train: 153 [ 0/41 ( 0%)] Loss: 0.685817 (0.6858) Acc@1: 92.5000 (92.5000) Acc@5: 100.0000 (100.0000) Time: 3.557s, 33.74/s LR: 8.498e-05 P_Replacement: 1.0 + +2023-08-11 01:20:16,606 - train: [ INFO] - Train: 153 [ 40/41 (100%)] Loss: 0.813867 (0.7617) Acc@1: 89.1667 (91.4024) Acc@5: 99.1667 (99.5122) Time: 0.712s, 168.42/s LR: 8.498e-05 P_Replacement: 1.0 + +2023-08-11 01:20:19,455 - train: [ INFO] - Test: [ 0/16] Time: 1.796 (1.796) Loss: 3.1088 (3.1088) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 56.6667 (56.6667) + +2023-08-11 01:20:22,928 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.310) Loss: 3.7133 (3.3900) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (21.8000)Acc@5: 50.0000 (57.2000) + +2023-08-11 01:20:27,677 - train: [ INFO] - Train: 154 [ 0/41 ( 0%)] Loss: 0.704834 (0.7048) Acc@1: 90.0000 (90.0000) Acc@5: 100.0000 (100.0000) Time: 3.496s, 34.32/s LR: 8.196e-05 P_Replacement: 1.0 + +2023-08-11 01:20:52,946 - train: [ INFO] - Train: 154 [ 40/41 (100%)] Loss: 0.714526 (0.7429) Acc@1: 90.8333 (91.4837) Acc@5: 99.1667 (99.6748) Time: 0.702s, 171.06/s LR: 8.196e-05 P_Replacement: 1.0 + +2023-08-11 01:20:56,095 - train: [ INFO] - Test: [ 0/16] Time: 1.866 (1.866) Loss: 2.7062 (2.7062) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 66.6667 (66.6667) + +2023-08-11 01:20:59,250 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.295) Loss: 3.7524 (3.3746) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (20.9500)Acc@5: 61.2500 (58.6500) + +2023-08-11 01:21:04,374 - train: [ INFO] - Train: 155 [ 0/41 ( 0%)] Loss: 0.662046 (0.6620) Acc@1: 95.8333 (95.8333) Acc@5: 99.1667 (99.1667) Time: 3.793s, 31.64/s LR: 7.900e-05 P_Replacement: 1.0 + +2023-08-11 01:21:29,989 - train: [ INFO] - Train: 155 [ 40/41 (100%)] Loss: 0.668382 (0.7083) Acc@1: 92.5000 (92.5610) Acc@5: 100.0000 (99.6138) Time: 0.717s, 167.32/s LR: 7.900e-05 P_Replacement: 1.0 + +2023-08-11 01:21:33,419 - train: [ INFO] - Test: [ 0/16] Time: 2.012 (2.012) Loss: 3.0963 (3.0963) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 66.6667 (66.6667) + +2023-08-11 01:21:36,695 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.311) Loss: 3.2789 (3.2117) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (22.7000)Acc@5: 57.5000 (60.4000) + +2023-08-11 01:21:41,406 - train: [ INFO] - Train: 156 [ 0/41 ( 0%)] Loss: 0.708790 (0.7088) Acc@1: 90.8333 (90.8333) Acc@5: 100.0000 (100.0000) Time: 3.462s, 34.66/s LR: 7.609e-05 P_Replacement: 1.0 + +2023-08-11 01:22:06,665 - train: [ INFO] - Train: 156 [ 40/41 (100%)] Loss: 0.709943 (0.7001) Acc@1: 91.6667 (92.8252) Acc@5: 100.0000 (99.6951) Time: 0.700s, 171.33/s LR: 7.609e-05 P_Replacement: 1.0 + +2023-08-11 01:22:09,739 - train: [ INFO] - Test: [ 0/16] Time: 1.823 (1.823) Loss: 3.6208 (3.6208) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 57.5000 (57.5000) + +2023-08-11 01:22:13,067 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.303) Loss: 3.4611 (3.4327) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (21.7000)Acc@5: 57.5000 (58.6500) + +2023-08-11 01:22:18,049 - train: [ INFO] - Train: 157 [ 0/41 ( 0%)] Loss: 0.657782 (0.6578) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 3.715s, 32.30/s LR: 7.323e-05 P_Replacement: 1.0 + +2023-08-11 01:22:43,239 - train: [ INFO] - Train: 157 [ 40/41 (100%)] Loss: 0.711914 (0.6848) Acc@1: 90.8333 (92.9472) Acc@5: 100.0000 (99.7968) Time: 0.705s, 170.23/s LR: 7.323e-05 P_Replacement: 1.0 + +2023-08-11 01:22:46,168 - train: [ INFO] - Test: [ 0/16] Time: 2.037 (2.037) Loss: 3.4530 (3.4530) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 55.0000 (55.0000) + +2023-08-11 01:22:49,267 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.302) Loss: 3.4496 (3.3607) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (21.2000)Acc@5: 60.0000 (59.3500) + +2023-08-11 01:22:54,359 - train: [ INFO] - Train: 158 [ 0/41 ( 0%)] Loss: 0.624140 (0.6241) Acc@1: 94.1667 (94.1667) Acc@5: 100.0000 (100.0000) Time: 3.864s, 31.06/s LR: 7.043e-05 P_Replacement: 1.0 + +2023-08-11 01:23:19,710 - train: [ INFO] - Train: 158 [ 40/41 (100%)] Loss: 0.886959 (0.6976) Acc@1: 90.0000 (92.5610) Acc@5: 99.1667 (99.8171) Time: 0.712s, 168.42/s LR: 7.043e-05 P_Replacement: 1.0 + +2023-08-11 01:23:22,694 - train: [ INFO] - Test: [ 0/16] Time: 1.993 (1.993) Loss: 3.9002 (3.9002) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 53.3333 (53.3333) + +2023-08-11 01:23:26,065 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.316) Loss: 3.9819 (3.5198) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (19.9500)Acc@5: 46.2500 (56.4000) + +2023-08-11 01:23:30,597 - train: [ INFO] - Train: 159 [ 0/41 ( 0%)] Loss: 0.696428 (0.6964) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 3.428s, 35.00/s LR: 6.768e-05 P_Replacement: 1.0 + +2023-08-11 01:23:56,580 - train: [ INFO] - Train: 159 [ 40/41 (100%)] Loss: 0.705475 (0.6753) Acc@1: 94.1667 (93.5366) Acc@5: 100.0000 (99.7764) Time: 0.717s, 167.30/s LR: 6.768e-05 P_Replacement: 1.0 + +2023-08-11 01:23:59,497 - train: [ INFO] - Test: [ 0/16] Time: 1.790 (1.790) Loss: 3.4173 (3.4173) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 60.0000 (60.0000) + +2023-08-11 01:24:02,827 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.301) Loss: 3.4821 (3.4358) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (21.6000)Acc@5: 57.5000 (58.7000) + +2023-08-11 01:24:07,756 - train: [ INFO] - Train: 160 [ 0/41 ( 0%)] Loss: 0.575405 (0.5754) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 3.645s, 32.93/s LR: 6.500e-05 P_Replacement: 1.0 + +2023-08-11 01:24:33,577 - train: [ INFO] - Train: 160 [ 40/41 (100%)] Loss: 0.613424 (0.6578) Acc@1: 90.0000 (93.9837) Acc@5: 100.0000 (99.8171) Time: 0.719s, 166.99/s LR: 6.500e-05 P_Replacement: 1.0 + +2023-08-11 01:24:36,657 - train: [ INFO] - Test: [ 0/16] Time: 1.920 (1.920) Loss: 3.4456 (3.4456) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 60.0000 (60.0000) + +2023-08-11 01:24:39,887 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.303) Loss: 3.3348 (3.3971) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (22.0500)Acc@5: 55.0000 (57.7500) + +2023-08-11 01:24:44,842 - train: [ INFO] - Train: 161 [ 0/41 ( 0%)] Loss: 0.631824 (0.6318) Acc@1: 90.8333 (90.8333) Acc@5: 100.0000 (100.0000) Time: 3.845s, 31.21/s LR: 6.237e-05 P_Replacement: 1.0 + +2023-08-11 01:25:10,026 - train: [ INFO] - Train: 161 [ 40/41 (100%)] Loss: 0.724007 (0.6486) Acc@1: 92.5000 (93.7398) Acc@5: 99.1667 (99.8171) Time: 0.708s, 169.50/s LR: 6.237e-05 P_Replacement: 1.0 + +2023-08-11 01:25:12,919 - train: [ INFO] - Test: [ 0/16] Time: 1.840 (1.840) Loss: 3.7940 (3.7940) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 57.5000 (57.5000) + +2023-08-11 01:25:16,593 - train: [ INFO] - Test: [ 16/16] Time: 0.155 (0.324) Loss: 3.4512 (3.4996) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (21.4500)Acc@5: 60.0000 (58.8000) + +2023-08-11 01:25:21,467 - train: [ INFO] - Train: 162 [ 0/41 ( 0%)] Loss: 0.528373 (0.5284) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.581s, 33.51/s LR: 5.980e-05 P_Replacement: 1.0 + +2023-08-11 01:25:47,067 - train: [ INFO] - Train: 162 [ 40/41 (100%)] Loss: 0.548213 (0.6449) Acc@1: 97.5000 (94.1667) Acc@5: 100.0000 (99.8984) Time: 0.712s, 168.62/s LR: 5.980e-05 P_Replacement: 1.0 + +2023-08-11 01:25:50,024 - train: [ INFO] - Test: [ 0/16] Time: 1.947 (1.947) Loss: 3.1259 (3.1259) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 64.1667 (64.1667) + +2023-08-11 01:25:53,316 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.308) Loss: 3.3780 (3.3276) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (22.5000)Acc@5: 63.7500 (59.5000) + +2023-08-11 01:25:58,128 - train: [ INFO] - Train: 163 [ 0/41 ( 0%)] Loss: 0.689765 (0.6898) Acc@1: 91.6667 (91.6667) Acc@5: 100.0000 (100.0000) Time: 3.627s, 33.08/s LR: 5.728e-05 P_Replacement: 1.0 + +2023-08-11 01:26:23,440 - train: [ INFO] - Train: 163 [ 40/41 (100%)] Loss: 0.664811 (0.6432) Acc@1: 92.5000 (94.3496) Acc@5: 99.1667 (99.8577) Time: 0.706s, 170.02/s LR: 5.728e-05 P_Replacement: 1.0 + +2023-08-11 01:26:26,408 - train: [ INFO] - Test: [ 0/16] Time: 1.878 (1.878) Loss: 3.2465 (3.2465) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 55.8333 (55.8333) + +2023-08-11 01:26:29,520 - train: [ INFO] - Test: [ 16/16] Time: 0.158 (0.294) Loss: 3.5742 (3.4348) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (21.4000)Acc@5: 56.2500 (57.7000) + +2023-08-11 01:26:34,801 - train: [ INFO] - Train: 164 [ 0/41 ( 0%)] Loss: 0.634349 (0.6343) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 3.840s, 31.25/s LR: 5.483e-05 P_Replacement: 1.0 + +2023-08-11 01:26:59,966 - train: [ INFO] - Train: 164 [ 40/41 (100%)] Loss: 0.607254 (0.6186) Acc@1: 90.8333 (95.1626) Acc@5: 100.0000 (99.9390) Time: 0.707s, 169.63/s LR: 5.483e-05 P_Replacement: 1.0 + +2023-08-11 01:27:02,851 - train: [ INFO] - Test: [ 0/16] Time: 1.829 (1.829) Loss: 3.5687 (3.5687) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 59.1667 (59.1667) + +2023-08-11 01:27:06,306 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.311) Loss: 3.6912 (3.5488) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.7500)Acc@5: 52.5000 (57.2500) + +2023-08-11 01:27:10,949 - train: [ INFO] - Train: 165 [ 0/41 ( 0%)] Loss: 0.665071 (0.6651) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 3.445s, 34.83/s LR: 5.244e-05 P_Replacement: 1.0 + +2023-08-11 01:27:36,083 - train: [ INFO] - Train: 165 [ 40/41 (100%)] Loss: 0.622575 (0.6200) Acc@1: 94.1667 (94.8781) Acc@5: 100.0000 (99.8171) Time: 0.697s, 172.16/s LR: 5.244e-05 P_Replacement: 1.0 + +2023-08-11 01:27:39,167 - train: [ INFO] - Test: [ 0/16] Time: 1.794 (1.794) Loss: 3.6742 (3.6742) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 50.8333 (50.8333) + +2023-08-11 01:27:42,354 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.293) Loss: 3.9229 (3.4933) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (21.0500)Acc@5: 43.7500 (57.3000) + +2023-08-11 01:27:47,921 - train: [ INFO] - Train: 166 [ 0/41 ( 0%)] Loss: 0.696962 (0.6970) Acc@1: 95.0000 (95.0000) Acc@5: 99.1667 (99.1667) Time: 4.089s, 29.34/s LR: 5.010e-05 P_Replacement: 1.0 + +2023-08-11 01:28:13,263 - train: [ INFO] - Train: 166 [ 40/41 (100%)] Loss: 0.583860 (0.6116) Acc@1: 94.1667 (95.5894) Acc@5: 100.0000 (99.8577) Time: 0.718s, 167.18/s LR: 5.010e-05 P_Replacement: 1.0 + +2023-08-11 01:28:16,309 - train: [ INFO] - Test: [ 0/16] Time: 1.845 (1.845) Loss: 3.5421 (3.5421) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 62.5000 (62.5000) + +2023-08-11 01:28:19,533 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.298) Loss: 3.4049 (3.4125) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (21.1000)Acc@5: 57.5000 (57.3500) + +2023-08-11 01:28:24,168 - train: [ INFO] - Train: 167 [ 0/41 ( 0%)] Loss: 0.511825 (0.5118) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.433s, 34.95/s LR: 4.783e-05 P_Replacement: 1.0 + +2023-08-11 01:28:49,338 - train: [ INFO] - Train: 167 [ 40/41 (100%)] Loss: 0.592752 (0.6044) Acc@1: 95.0000 (95.2033) Acc@5: 100.0000 (99.8781) Time: 0.698s, 172.02/s LR: 4.783e-05 P_Replacement: 1.0 + +2023-08-11 01:28:52,322 - train: [ INFO] - Test: [ 0/16] Time: 1.859 (1.859) Loss: 3.5576 (3.5576) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 56.6667 (56.6667) + +2023-08-11 01:28:55,699 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.308) Loss: 4.3603 (3.6219) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 (20.1500)Acc@5: 50.0000 (57.5000) + +2023-08-11 01:29:00,424 - train: [ INFO] - Train: 168 [ 0/41 ( 0%)] Loss: 0.510555 (0.5106) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 3.619s, 33.16/s LR: 4.562e-05 P_Replacement: 1.0 + +2023-08-11 01:29:25,843 - train: [ INFO] - Train: 168 [ 40/41 (100%)] Loss: 0.547759 (0.5996) Acc@1: 97.5000 (95.4065) Acc@5: 100.0000 (99.8984) Time: 0.708s, 169.44/s LR: 4.562e-05 P_Replacement: 1.0 + +2023-08-11 01:29:28,869 - train: [ INFO] - Test: [ 0/16] Time: 2.115 (2.115) Loss: 3.6001 (3.6001) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 56.6667 (56.6667) + +2023-08-11 01:29:31,961 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.306) Loss: 3.6736 (3.4602) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (20.4000)Acc@5: 51.2500 (57.1000) + +2023-08-11 01:29:36,980 - train: [ INFO] - Train: 169 [ 0/41 ( 0%)] Loss: 0.528042 (0.5280) Acc@1: 95.0000 (95.0000) Acc@5: 100.0000 (100.0000) Time: 3.882s, 30.92/s LR: 4.347e-05 P_Replacement: 1.0 + +2023-08-11 01:30:02,423 - train: [ INFO] - Train: 169 [ 40/41 (100%)] Loss: 0.662666 (0.5930) Acc@1: 89.1667 (95.3252) Acc@5: 100.0000 (99.8984) Time: 0.715s, 167.79/s LR: 4.347e-05 P_Replacement: 1.0 + +2023-08-11 01:30:05,765 - train: [ INFO] - Test: [ 0/16] Time: 2.301 (2.301) Loss: 3.9069 (3.9069) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 51.6667 (51.6667) + +2023-08-11 01:30:08,883 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.319) Loss: 3.4895 (3.6965) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (21.2000)Acc@5: 61.2500 (56.7000) + +2023-08-11 01:30:13,633 - train: [ INFO] - Train: 170 [ 0/41 ( 0%)] Loss: 0.490518 (0.4905) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.499s, 34.30/s LR: 4.139e-05 P_Replacement: 1.0 + +2023-08-11 01:30:39,051 - train: [ INFO] - Train: 170 [ 40/41 (100%)] Loss: 0.561579 (0.5958) Acc@1: 96.6667 (95.3252) Acc@5: 100.0000 (99.8984) Time: 0.705s, 170.16/s LR: 4.139e-05 P_Replacement: 1.0 + +2023-08-11 01:30:41,969 - train: [ INFO] - Test: [ 0/16] Time: 1.846 (1.846) Loss: 3.8269 (3.8269) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 52.5000 (52.5000) + +2023-08-11 01:30:45,269 - train: [ INFO] - Test: [ 16/16] Time: 0.263 (0.303) Loss: 3.4302 (3.5961) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (21.2500)Acc@5: 58.7500 (55.7000) + +2023-08-11 01:30:50,172 - train: [ INFO] - Train: 171 [ 0/41 ( 0%)] Loss: 0.592956 (0.5930) Acc@1: 95.0000 (95.0000) Acc@5: 100.0000 (100.0000) Time: 3.639s, 32.98/s LR: 3.936e-05 P_Replacement: 1.0 + +2023-08-11 01:31:15,437 - train: [ INFO] - Train: 171 [ 40/41 (100%)] Loss: 0.541965 (0.5837) Acc@1: 96.6667 (95.7317) Acc@5: 100.0000 (99.8781) Time: 0.705s, 170.24/s LR: 3.936e-05 P_Replacement: 1.0 + +2023-08-11 01:31:18,367 - train: [ INFO] - Test: [ 0/16] Time: 1.962 (1.962) Loss: 3.7975 (3.7975) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 54.1667 (54.1667) + +2023-08-11 01:31:21,457 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.297) Loss: 3.4168 (3.6313) cLoss: 0.0000 (0.0000) Acc@1: 35.0000 (20.8000)Acc@5: 65.0000 (57.0000) + +2023-08-11 01:31:26,468 - train: [ INFO] - Train: 172 [ 0/41 ( 0%)] Loss: 0.471855 (0.4719) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.799s, 31.59/s LR: 3.741e-05 P_Replacement: 1.0 + +2023-08-11 01:31:51,899 - train: [ INFO] - Train: 172 [ 40/41 (100%)] Loss: 0.644058 (0.5692) Acc@1: 93.3333 (95.9553) Acc@5: 100.0000 (99.8577) Time: 0.713s, 168.34/s LR: 3.741e-05 P_Replacement: 1.0 + +2023-08-11 01:31:54,985 - train: [ INFO] - Test: [ 0/16] Time: 1.943 (1.943) Loss: 3.4340 (3.4340) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 63.3333 (63.3333) + +2023-08-11 01:31:58,478 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.320) Loss: 3.6609 (3.6021) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (20.9500)Acc@5: 56.2500 (56.2000) + +2023-08-11 01:32:03,162 - train: [ INFO] - Train: 173 [ 0/41 ( 0%)] Loss: 0.628960 (0.6290) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 3.576s, 33.56/s LR: 3.551e-05 P_Replacement: 1.0 + +2023-08-11 01:32:29,246 - train: [ INFO] - Train: 173 [ 40/41 (100%)] Loss: 0.520774 (0.5612) Acc@1: 97.5000 (96.1382) Acc@5: 100.0000 (99.9390) Time: 0.723s, 165.89/s LR: 3.551e-05 P_Replacement: 1.0 + +2023-08-11 01:32:32,028 - train: [ INFO] - Test: [ 0/16] Time: 1.819 (1.819) Loss: 3.6830 (3.6830) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 57.5000 (57.5000) + +2023-08-11 01:32:35,117 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.289) Loss: 4.1174 (3.6413) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (21.0500)Acc@5: 46.2500 (56.8500) + +2023-08-11 01:32:40,369 - train: [ INFO] - Train: 174 [ 0/41 ( 0%)] Loss: 0.484936 (0.4849) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.845s, 31.21/s LR: 3.368e-05 P_Replacement: 1.0 + +2023-08-11 01:33:05,880 - train: [ INFO] - Train: 174 [ 40/41 (100%)] Loss: 0.674260 (0.5673) Acc@1: 92.5000 (96.0976) Acc@5: 99.1667 (99.8781) Time: 0.716s, 167.62/s LR: 3.368e-05 P_Replacement: 1.0 + +2023-08-11 01:33:09,190 - train: [ INFO] - Test: [ 0/16] Time: 2.235 (2.235) Loss: 3.5741 (3.5741) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 56.6667 (56.6667) + +2023-08-11 01:33:12,284 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.313) Loss: 3.4773 (3.6141) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (21.1000)Acc@5: 60.0000 (57.8500) + +2023-08-11 01:33:17,286 - train: [ INFO] - Train: 175 [ 0/41 ( 0%)] Loss: 0.535246 (0.5352) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 3.666s, 32.73/s LR: 3.192e-05 P_Replacement: 1.0 + +2023-08-11 01:33:42,728 - train: [ INFO] - Train: 175 [ 40/41 (100%)] Loss: 0.599847 (0.5510) Acc@1: 95.8333 (96.3415) Acc@5: 100.0000 (99.9797) Time: 0.710s, 169.03/s LR: 3.192e-05 P_Replacement: 1.0 + +2023-08-11 01:33:45,651 - train: [ INFO] - Test: [ 0/16] Time: 1.892 (1.892) Loss: 3.6725 (3.6725) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 53.3333 (53.3333) + +2023-08-11 01:33:49,283 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.325) Loss: 3.7141 (3.6882) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (21.1500)Acc@5: 62.5000 (56.4000) + +2023-08-11 01:33:53,909 - train: [ INFO] - Train: 176 [ 0/41 ( 0%)] Loss: 0.533997 (0.5340) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.488s, 34.40/s LR: 3.022e-05 P_Replacement: 1.0 + +2023-08-11 01:34:19,839 - train: [ INFO] - Train: 176 [ 40/41 (100%)] Loss: 0.625739 (0.5461) Acc@1: 97.5000 (96.7073) Acc@5: 100.0000 (99.9390) Time: 0.717s, 167.25/s LR: 3.022e-05 P_Replacement: 1.0 + +2023-08-11 01:34:22,802 - train: [ INFO] - Test: [ 0/16] Time: 1.846 (1.846) Loss: 3.9813 (3.9813) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 54.1667 (54.1667) + +2023-08-11 01:34:26,031 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.298) Loss: 3.7068 (3.7570) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (20.3000)Acc@5: 56.2500 (56.2500) + +2023-08-11 01:34:31,056 - train: [ INFO] - Train: 177 [ 0/41 ( 0%)] Loss: 0.518546 (0.5185) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.665s, 32.74/s LR: 2.859e-05 P_Replacement: 1.0 + +2023-08-11 01:34:57,295 - train: [ INFO] - Train: 177 [ 40/41 (100%)] Loss: 0.589088 (0.5453) Acc@1: 97.5000 (96.5650) Acc@5: 100.0000 (99.9594) Time: 0.729s, 164.54/s LR: 2.859e-05 P_Replacement: 1.0 + +2023-08-11 01:35:00,500 - train: [ INFO] - Test: [ 0/16] Time: 2.108 (2.108) Loss: 3.9298 (3.9298) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 54.1667 (54.1667) + +2023-08-11 01:35:03,619 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.307) Loss: 3.6361 (3.6544) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (20.3000)Acc@5: 57.5000 (56.3000) + +2023-08-11 01:35:08,398 - train: [ INFO] - Train: 178 [ 0/41 ( 0%)] Loss: 0.530580 (0.5306) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.616s, 33.18/s LR: 2.702e-05 P_Replacement: 1.0 + +2023-08-11 01:35:34,119 - train: [ INFO] - Train: 178 [ 40/41 (100%)] Loss: 0.575945 (0.5428) Acc@1: 95.0000 (96.5650) Acc@5: 99.1667 (99.9390) Time: 0.716s, 167.71/s LR: 2.702e-05 P_Replacement: 1.0 + +2023-08-11 01:35:37,437 - train: [ INFO] - Test: [ 0/16] Time: 2.162 (2.162) Loss: 3.4645 (3.4645) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:35:40,641 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.316) Loss: 3.8687 (3.6961) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0500)Acc@5: 60.0000 (57.2000) + +2023-08-11 01:35:45,290 - train: [ INFO] - Train: 179 [ 0/41 ( 0%)] Loss: 0.572062 (0.5721) Acc@1: 95.0000 (95.0000) Acc@5: 100.0000 (100.0000) Time: 3.475s, 34.53/s LR: 2.553e-05 P_Replacement: 1.0 + +2023-08-11 01:36:11,244 - train: [ INFO] - Train: 179 [ 40/41 (100%)] Loss: 0.540023 (0.5360) Acc@1: 95.8333 (96.6260) Acc@5: 99.1667 (99.9390) Time: 0.718s, 167.19/s LR: 2.553e-05 P_Replacement: 1.0 + +2023-08-11 01:36:14,126 - train: [ INFO] - Test: [ 0/16] Time: 1.917 (1.917) Loss: 3.6242 (3.6242) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:36:17,410 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.306) Loss: 4.4008 (3.7338) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (19.6500)Acc@5: 46.2500 (57.0000) + +2023-08-11 01:36:22,250 - train: [ INFO] - Train: 180 [ 0/41 ( 0%)] Loss: 0.489313 (0.4893) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 3.682s, 32.59/s LR: 2.409e-05 P_Replacement: 1.0 + +2023-08-11 01:36:47,954 - train: [ INFO] - Train: 180 [ 40/41 (100%)] Loss: 0.576091 (0.5432) Acc@1: 93.3333 (96.2195) Acc@5: 100.0000 (99.9390) Time: 0.717s, 167.44/s LR: 2.409e-05 P_Replacement: 1.0 + +2023-08-11 01:36:51,035 - train: [ INFO] - Test: [ 0/16] Time: 2.038 (2.038) Loss: 3.9071 (3.9071) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 54.1667 (54.1667) + +2023-08-11 01:36:54,192 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.306) Loss: 2.9600 (3.5656) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (20.9500)Acc@5: 65.0000 (59.4500) + +2023-08-11 01:36:58,985 - train: [ INFO] - Train: 181 [ 0/41 ( 0%)] Loss: 0.508224 (0.5082) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 3.679s, 32.62/s LR: 2.273e-05 P_Replacement: 1.0 + +2023-08-11 01:37:24,291 - train: [ INFO] - Train: 181 [ 40/41 (100%)] Loss: 0.580379 (0.5465) Acc@1: 96.6667 (96.5041) Acc@5: 100.0000 (99.8984) Time: 0.707s, 169.75/s LR: 2.273e-05 P_Replacement: 1.0 + +2023-08-11 01:37:27,137 - train: [ INFO] - Test: [ 0/16] Time: 1.829 (1.829) Loss: 3.8277 (3.8277) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 54.1667 (54.1667) + +2023-08-11 01:37:30,676 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.316) Loss: 3.5204 (3.7429) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (20.6000)Acc@5: 62.5000 (57.7000) + +2023-08-11 01:37:35,695 - train: [ INFO] - Train: 182 [ 0/41 ( 0%)] Loss: 0.486703 (0.4867) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.704s, 32.40/s LR: 2.143e-05 P_Replacement: 1.0 + +2023-08-11 01:38:00,971 - train: [ INFO] - Train: 182 [ 40/41 (100%)] Loss: 0.569081 (0.5325) Acc@1: 95.8333 (96.8496) Acc@5: 100.0000 (99.9594) Time: 0.707s, 169.79/s LR: 2.143e-05 P_Replacement: 1.0 + +2023-08-11 01:38:03,829 - train: [ INFO] - Test: [ 0/16] Time: 1.843 (1.843) Loss: 3.9174 (3.9174) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 54.1667 (54.1667) + +2023-08-11 01:38:06,941 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.291) Loss: 3.8886 (3.7286) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (20.8000)Acc@5: 57.5000 (56.6000) + +2023-08-11 01:38:11,817 - train: [ INFO] - Train: 183 [ 0/41 ( 0%)] Loss: 0.462329 (0.4623) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.552s, 33.78/s LR: 2.021e-05 P_Replacement: 1.0 + +2023-08-11 01:38:37,236 - train: [ INFO] - Train: 183 [ 40/41 (100%)] Loss: 0.483190 (0.5256) Acc@1: 99.1667 (97.0529) Acc@5: 100.0000 (99.9390) Time: 0.707s, 169.84/s LR: 2.021e-05 P_Replacement: 1.0 + +2023-08-11 01:38:40,515 - train: [ INFO] - Test: [ 0/16] Time: 1.969 (1.969) Loss: 3.8349 (3.8349) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 57.5000 (57.5000) + +2023-08-11 01:38:43,798 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.309) Loss: 3.4978 (3.7693) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (20.9000)Acc@5: 60.0000 (57.3500) + +2023-08-11 01:38:48,849 - train: [ INFO] - Train: 184 [ 0/41 ( 0%)] Loss: 0.494078 (0.4941) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 3.892s, 30.84/s LR: 1.905e-05 P_Replacement: 1.0 + +2023-08-11 01:39:14,221 - train: [ INFO] - Train: 184 [ 40/41 (100%)] Loss: 0.437493 (0.5107) Acc@1: 98.3333 (97.5000) Acc@5: 100.0000 (100.0000) Time: 0.714s, 168.14/s LR: 1.905e-05 P_Replacement: 1.0 + +2023-08-11 01:39:17,486 - train: [ INFO] - Test: [ 0/16] Time: 2.050 (2.050) Loss: 3.8804 (3.8804) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:39:20,920 - train: [ INFO] - Test: [ 16/16] Time: 0.230 (0.323) Loss: 4.0700 (3.7764) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (19.9000)Acc@5: 50.0000 (56.2000) + +2023-08-11 01:39:25,617 - train: [ INFO] - Train: 185 [ 0/41 ( 0%)] Loss: 0.491938 (0.4919) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 3.472s, 34.56/s LR: 1.796e-05 P_Replacement: 1.0 + +2023-08-11 01:39:51,037 - train: [ INFO] - Train: 185 [ 40/41 (100%)] Loss: 0.529361 (0.5304) Acc@1: 95.8333 (96.9512) Acc@5: 100.0000 (99.9187) Time: 0.705s, 170.30/s LR: 1.796e-05 P_Replacement: 1.0 + +2023-08-11 01:39:54,279 - train: [ INFO] - Test: [ 0/16] Time: 1.836 (1.836) Loss: 3.9821 (3.9821) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 50.0000 (50.0000) + +2023-08-11 01:39:57,445 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.294) Loss: 3.5988 (3.7399) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (20.6500)Acc@5: 55.0000 (57.0500) + +2023-08-11 01:40:02,466 - train: [ INFO] - Train: 186 [ 0/41 ( 0%)] Loss: 0.478839 (0.4788) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.678s, 32.63/s LR: 1.694e-05 P_Replacement: 1.0 + +2023-08-11 01:40:28,113 - train: [ INFO] - Train: 186 [ 40/41 (100%)] Loss: 0.479426 (0.5259) Acc@1: 98.3333 (96.6260) Acc@5: 100.0000 (99.9594) Time: 0.715s, 167.80/s LR: 1.694e-05 P_Replacement: 1.0 + +2023-08-11 01:40:31,497 - train: [ INFO] - Test: [ 0/16] Time: 2.058 (2.058) Loss: 3.7192 (3.7192) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 55.8333 (55.8333) + +2023-08-11 01:40:34,588 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.303) Loss: 3.4191 (3.6013) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (21.5000)Acc@5: 63.7500 (57.0000) + +2023-08-11 01:40:39,704 - train: [ INFO] - Train: 187 [ 0/41 ( 0%)] Loss: 0.549373 (0.5494) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.817s, 31.43/s LR: 1.598e-05 P_Replacement: 1.0 + +2023-08-11 01:41:04,926 - train: [ INFO] - Train: 187 [ 40/41 (100%)] Loss: 0.583608 (0.5306) Acc@1: 94.1667 (96.6667) Acc@5: 99.1667 (99.9187) Time: 0.708s, 169.44/s LR: 1.598e-05 P_Replacement: 1.0 + +2023-08-11 01:41:07,802 - train: [ INFO] - Test: [ 0/16] Time: 1.857 (1.857) Loss: 3.6480 (3.6480) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 54.1667 (54.1667) + +2023-08-11 01:41:11,128 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.305) Loss: 3.8796 (3.7322) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (21.0000)Acc@5: 57.5000 (56.8500) + +2023-08-11 01:41:15,890 - train: [ INFO] - Train: 188 [ 0/41 ( 0%)] Loss: 0.483381 (0.4834) Acc@1: 98.3333 (98.3333) Acc@5: 99.1667 (99.1667) Time: 3.568s, 33.63/s LR: 1.510e-05 P_Replacement: 1.0 + +2023-08-11 01:41:41,501 - train: [ INFO] - Train: 188 [ 40/41 (100%)] Loss: 0.489419 (0.5190) Acc@1: 99.1667 (97.2764) Acc@5: 100.0000 (99.9187) Time: 0.712s, 168.62/s LR: 1.510e-05 P_Replacement: 1.0 + +2023-08-11 01:41:44,410 - train: [ INFO] - Test: [ 0/16] Time: 1.785 (1.785) Loss: 3.7619 (3.7619) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:41:47,635 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.295) Loss: 3.5288 (3.6061) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (21.0000)Acc@5: 62.5000 (57.2000) + +2023-08-11 01:41:52,852 - train: [ INFO] - Train: 189 [ 0/41 ( 0%)] Loss: 0.498684 (0.4987) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.755s, 31.96/s LR: 1.429e-05 P_Replacement: 1.0 + +2023-08-11 01:42:18,206 - train: [ INFO] - Train: 189 [ 40/41 (100%)] Loss: 0.540532 (0.5200) Acc@1: 98.3333 (97.0732) Acc@5: 100.0000 (99.9390) Time: 0.710s, 169.03/s LR: 1.429e-05 P_Replacement: 1.0 + +2023-08-11 01:42:21,340 - train: [ INFO] - Test: [ 0/16] Time: 1.981 (1.981) Loss: 3.6440 (3.6440) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 57.5000 (57.5000) + +2023-08-11 01:42:24,528 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.304) Loss: 3.1846 (3.6159) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (21.5000)Acc@5: 67.5000 (57.7500) + +2023-08-11 01:42:29,547 - train: [ INFO] - Train: 190 [ 0/41 ( 0%)] Loss: 0.593140 (0.5931) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.697s, 32.46/s LR: 1.355e-05 P_Replacement: 1.0 + +2023-08-11 01:42:54,735 - train: [ INFO] - Train: 190 [ 40/41 (100%)] Loss: 0.569535 (0.5199) Acc@1: 95.0000 (96.9309) Acc@5: 99.1667 (99.8984) Time: 0.704s, 170.34/s LR: 1.355e-05 P_Replacement: 1.0 + +2023-08-11 01:42:57,562 - train: [ INFO] - Test: [ 0/16] Time: 1.793 (1.793) Loss: 3.7063 (3.7063) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:43:00,894 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.301) Loss: 3.6303 (3.7020) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (20.3500)Acc@5: 61.2500 (57.6000) + +2023-08-11 01:43:05,771 - train: [ INFO] - Train: 191 [ 0/41 ( 0%)] Loss: 0.512304 (0.5123) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.458s, 34.70/s LR: 1.287e-05 P_Replacement: 1.0 + +2023-08-11 01:43:30,948 - train: [ INFO] - Train: 191 [ 40/41 (100%)] Loss: 0.481959 (0.5149) Acc@1: 99.1667 (97.0935) Acc@5: 100.0000 (99.9390) Time: 0.698s, 171.83/s LR: 1.287e-05 P_Replacement: 1.0 + +2023-08-11 01:43:33,989 - train: [ INFO] - Test: [ 0/16] Time: 1.882 (1.882) Loss: 3.2633 (3.2633) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 68.3333 (68.3333) + +2023-08-11 01:43:37,082 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.293) Loss: 3.4499 (3.6678) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (20.8000)Acc@5: 62.5000 (58.1500) + +2023-08-11 01:43:41,826 - train: [ INFO] - Train: 192 [ 0/41 ( 0%)] Loss: 0.461339 (0.4613) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.648s, 32.90/s LR: 1.227e-05 P_Replacement: 1.0 + +2023-08-11 01:44:06,971 - train: [ INFO] - Train: 192 [ 40/41 (100%)] Loss: 0.490215 (0.5105) Acc@1: 96.6667 (97.3984) Acc@5: 100.0000 (99.9187) Time: 0.702s, 170.89/s LR: 1.227e-05 P_Replacement: 1.0 + +2023-08-11 01:44:10,047 - train: [ INFO] - Test: [ 0/16] Time: 2.149 (2.149) Loss: 3.6305 (3.6305) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:44:13,384 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.323) Loss: 3.3712 (3.6860) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.8000)Acc@5: 61.2500 (56.9500) + +2023-08-11 01:44:17,976 - train: [ INFO] - Train: 193 [ 0/41 ( 0%)] Loss: 0.500313 (0.5003) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.509s, 34.19/s LR: 1.174e-05 P_Replacement: 1.0 + +2023-08-11 01:44:43,438 - train: [ INFO] - Train: 193 [ 40/41 (100%)] Loss: 0.503495 (0.5139) Acc@1: 96.6667 (97.3171) Acc@5: 100.0000 (99.9797) Time: 0.707s, 169.84/s LR: 1.174e-05 P_Replacement: 1.0 + +2023-08-11 01:44:46,214 - train: [ INFO] - Test: [ 0/16] Time: 1.827 (1.827) Loss: 3.4995 (3.4995) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 63.3333 (63.3333) + +2023-08-11 01:44:49,387 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.294) Loss: 4.1387 (3.6923) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (21.2500)Acc@5: 58.7500 (57.2000) + +2023-08-11 01:44:54,493 - train: [ INFO] - Train: 194 [ 0/41 ( 0%)] Loss: 0.526931 (0.5269) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 3.650s, 32.88/s LR: 1.128e-05 P_Replacement: 1.0 + +2023-08-11 01:45:19,710 - train: [ INFO] - Train: 194 [ 40/41 (100%)] Loss: 0.530059 (0.4952) Acc@1: 95.8333 (97.6016) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.45/s LR: 1.128e-05 P_Replacement: 1.0 + +2023-08-11 01:45:22,907 - train: [ INFO] - Test: [ 0/16] Time: 1.804 (1.804) Loss: 3.4086 (3.4086) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 65.0000 (65.0000) + +2023-08-11 01:45:26,233 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.302) Loss: 3.5029 (3.7028) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (21.1500)Acc@5: 55.0000 (57.0000) + +2023-08-11 01:45:31,148 - train: [ INFO] - Train: 195 [ 0/41 ( 0%)] Loss: 0.433803 (0.4338) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.619s, 33.16/s LR: 1.089e-05 P_Replacement: 1.0 + +2023-08-11 01:45:56,197 - train: [ INFO] - Train: 195 [ 40/41 (100%)] Loss: 0.494427 (0.5065) Acc@1: 97.5000 (97.2358) Acc@5: 100.0000 (99.8984) Time: 0.699s, 171.63/s LR: 1.089e-05 P_Replacement: 1.0 + +2023-08-11 01:45:59,158 - train: [ INFO] - Test: [ 0/16] Time: 1.813 (1.813) Loss: 3.8715 (3.8715) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 50.8333 (50.8333) + +2023-08-11 01:46:02,539 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.306) Loss: 3.8313 (3.5368) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (21.5000)Acc@5: 55.0000 (58.2500) + +2023-08-11 01:46:07,371 - train: [ INFO] - Train: 196 [ 0/41 ( 0%)] Loss: 0.469038 (0.4690) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.450s, 34.79/s LR: 1.057e-05 P_Replacement: 1.0 + +2023-08-11 01:46:32,563 - train: [ INFO] - Train: 196 [ 40/41 (100%)] Loss: 0.493701 (0.5057) Acc@1: 95.8333 (97.0529) Acc@5: 100.0000 (99.9187) Time: 0.699s, 171.79/s LR: 1.057e-05 P_Replacement: 1.0 + +2023-08-11 01:46:35,833 - train: [ INFO] - Test: [ 0/16] Time: 1.972 (1.972) Loss: 3.8158 (3.8158) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:46:38,921 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.298) Loss: 3.6918 (3.6231) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (20.5000)Acc@5: 51.2500 (56.9500) + +2023-08-11 01:46:43,899 - train: [ INFO] - Train: 197 [ 0/41 ( 0%)] Loss: 0.487851 (0.4879) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 3.415s, 35.14/s LR: 1.032e-05 P_Replacement: 1.0 + +2023-08-11 01:47:08,989 - train: [ INFO] - Train: 197 [ 40/41 (100%)] Loss: 0.546538 (0.4981) Acc@1: 93.3333 (97.8049) Acc@5: 100.0000 (99.9797) Time: 0.695s, 172.64/s LR: 1.032e-05 P_Replacement: 1.0 + +2023-08-11 01:47:12,172 - train: [ INFO] - Test: [ 0/16] Time: 1.781 (1.781) Loss: 3.9328 (3.9328) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 51.6667 (51.6667) + +2023-08-11 01:47:15,433 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.297) Loss: 3.6548 (3.7972) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (20.7000)Acc@5: 57.5000 (56.0000) + +2023-08-11 01:47:20,155 - train: [ INFO] - Train: 198 [ 0/41 ( 0%)] Loss: 0.460919 (0.4609) Acc@1: 98.3333 (98.3333) Acc@5: 99.1667 (99.1667) Time: 3.413s, 35.16/s LR: 1.014e-05 P_Replacement: 1.0 + +2023-08-11 01:47:45,293 - train: [ INFO] - Train: 198 [ 40/41 (100%)] Loss: 0.506445 (0.4948) Acc@1: 99.1667 (97.5813) Acc@5: 100.0000 (99.9594) Time: 0.696s, 172.34/s LR: 1.014e-05 P_Replacement: 1.0 + +2023-08-11 01:47:48,154 - train: [ INFO] - Test: [ 0/16] Time: 1.823 (1.823) Loss: 3.8574 (3.8574) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 55.8333 (55.8333) + +2023-08-11 01:47:51,533 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.306) Loss: 3.1597 (3.8355) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (19.8500)Acc@5: 68.7500 (56.8500) + +2023-08-11 01:47:56,467 - train: [ INFO] - Train: 199 [ 0/41 ( 0%)] Loss: 0.475069 (0.4751) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 3.585s, 33.47/s LR: 1.004e-05 P_Replacement: 1.0 + +2023-08-11 01:48:21,697 - train: [ INFO] - Train: 199 [ 40/41 (100%)] Loss: 0.494321 (0.4969) Acc@1: 96.6667 (97.3781) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.76/s LR: 1.004e-05 P_Replacement: 1.0 + +2023-08-11 01:48:24,777 - train: [ INFO] - Test: [ 0/16] Time: 1.947 (1.947) Loss: 3.3112 (3.3112) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 58.3333 (58.3333) + +2023-08-11 01:48:27,881 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.297) Loss: 3.3322 (3.6105) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (20.2500)Acc@5: 60.0000 (57.8500) + +2023-08-11 01:48:29,144 - train: [ INFO] - *** Best metric: 23.700001182556154 (epoch 104) diff --git a/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/model_best.pth.tar b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/model_best.pth.tar new file mode 100644 index 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+lr_noise: null +lr_noise_pct: 0.67 +lr_noise_std: 1.0 +mean: null +min_lr: 1.0e-05 +mix_up: false +mixup: 0.8 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 1.0 +mixup_switch_prob: 0.5 +model: Transfer_ResNet18 +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_groups: 1 +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +no_sliding_training: false +no_use_hsv: false +node_resume: '' +node_trainable: false +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 20 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: /home/hexiang/DomainAdaptation_DVS/Results2/ +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +regularization: false +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +rgbdata_ratio: 1.0 +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 90210 +sigmoid_thres: false +smoothing: 0.0 +snr: 0 +source_dataset: RGBCEPDVS +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 6 +suffix: '' +sync_bn: false +target_dataset: CEPDVS +tau: 2.0 +temporal_flatten: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.5 +traindata_ratio: 1.0 +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: 0.01 +workers: 8 diff --git a/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..7aa37a7c37f72221cb68b9d9087fa92125bf3ecd --- /dev/null +++ b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt @@ -0,0 +1,1687 @@ +2023-08-10 06:31:03,394 - train: [ INFO] - Training with a single process on 1 GPUs. +2023-08-10 06:31:03,528 - train: [ INFO] - learning rate is 0.000586 +2023-08-10 06:31:03,529 - train: [ INFO] - Model Transfer_ResNet18 created, param count: 11187924 +2023-08-10 06:31:05,722 - train: [ INFO] - AMP not enabled. Training in float32. +2023-08-10 06:31:05,723 - train: [ INFO] - Scheduled epochs: 210 +2023-08-10 06:31:45,116 - train: [ INFO] - Train: 0 [ 0/41 ( 0%)] Loss: 6.182584 (6.1826) Acc@1: 7.5000 ( 7.5000) Acc@5: 21.6667 (21.6667) Time: 6.237s, 19.24/s LR: 1.000e-06 P_Replacement: 0.0 + +2023-08-10 06:32:10,531 - train: [ INFO] - Train: 0 [ 40/41 (100%)] Loss: 6.161010 (6.1614) Acc@1: 3.3333 ( 5.3252) Acc@5: 25.8333 (26.2195) Time: 0.772s, 155.44/s LR: 1.000e-06 P_Replacement: 1.1607492636496859e-07 + +2023-08-10 06:32:13,163 - train: [ INFO] - Test: [ 0/16] Time: 1.650 (1.650) Loss: 3.0001 (3.0001) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 30.8333 (30.8333) + +2023-08-10 06:32:16,322 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.283) Loss: 2.9994 (2.9977) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 ( 5.5000)Acc@5: 21.2500 (24.6500) + +2023-08-10 06:32:17,591 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-0.pth.tar', 5.500000290870666) + +2023-08-10 06:32:20,793 - train: [ INFO] - Train: 1 [ 0/41 ( 0%)] Loss: 6.153136 (6.1531) Acc@1: 5.0000 ( 5.0000) Acc@5: 25.0000 (25.0000) Time: 3.201s, 37.49/s LR: 1.180e-04 P_Replacement: 1.2500000000000002e-07 + +2023-08-10 06:32:46,301 - train: [ INFO] - Train: 1 [ 40/41 (100%)] Loss: 6.107131 (6.1139) Acc@1: 7.5000 ( 8.2520) Acc@5: 31.6667 (30.9553) Time: 0.700s, 171.39/s LR: 1.180e-04 P_Replacement: 9.638589834738323e-07 + +2023-08-10 06:32:48,712 - train: [ INFO] - Test: [ 0/16] Time: 1.500 (1.500) Loss: 2.9869 (2.9869) cLoss: 0.0000 (0.0000) Acc@1: 4.1667 ( 4.1667)Acc@5: 28.3333 (28.3333) + +2023-08-10 06:32:51,877 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.274) Loss: 2.9835 (2.9935) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 5.3000)Acc@5: 27.5000 (25.6500) + +2023-08-10 06:32:55,771 - train: [ INFO] - Train: 2 [ 0/41 ( 0%)] Loss: 6.127081 (6.1271) Acc@1: 7.5000 ( 7.5000) Acc@5: 30.8333 (30.8333) Time: 3.003s, 39.96/s LR: 2.350e-04 P_Replacement: 1.0000000000000002e-06 + +2023-08-10 06:33:21,202 - train: [ INFO] - Train: 2 [ 40/41 (100%)] Loss: 6.086036 (6.0945) Acc@1: 7.5000 ( 9.8780) Acc@5: 38.3333 (34.7967) Time: 0.693s, 173.05/s LR: 2.350e-04 P_Replacement: 3.2933503576558664e-06 + +2023-08-10 06:33:23,799 - train: [ INFO] - Test: [ 0/16] Time: 1.596 (1.596) Loss: 2.9824 (2.9824) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 31.6667 (31.6667) + +2023-08-10 06:33:26,969 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.280) Loss: 2.9833 (2.9927) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 ( 6.5500)Acc@5: 30.0000 (28.1500) + +2023-08-10 06:33:27,854 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-2.pth.tar', 6.550000386238098) + +2023-08-10 06:33:30,753 - train: [ INFO] - Train: 3 [ 0/41 ( 0%)] Loss: 6.075550 (6.0755) Acc@1: 15.8333 (15.8333) Acc@5: 42.5000 (42.5000) Time: 2.898s, 41.40/s LR: 3.520e-04 P_Replacement: 3.3749999999999995e-06 + +2023-08-10 06:33:56,237 - train: [ INFO] - Train: 3 [ 40/41 (100%)] Loss: 6.073467 (6.0799) Acc@1: 10.8333 (10.5285) Acc@5: 35.8333 (36.7480) Time: 0.692s, 173.36/s LR: 3.520e-04 P_Replacement: 7.854549048911072e-06 + +2023-08-10 06:33:58,604 - train: [ INFO] - Test: [ 0/16] Time: 1.536 (1.536) Loss: 3.0002 (3.0002) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 27.5000 (27.5000) + +2023-08-10 06:34:01,753 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.276) Loss: 3.0124 (3.0066) cLoss: 0.0000 (0.0000) Acc@1: 1.2500 ( 5.8000)Acc@5: 21.2500 (26.3000) + +2023-08-10 06:34:05,850 - train: [ INFO] - Train: 4 [ 0/41 ( 0%)] Loss: 6.081648 (6.0816) Acc@1: 8.3333 ( 8.3333) Acc@5: 38.3333 (38.3333) Time: 2.908s, 41.26/s LR: 4.689e-04 P_Replacement: 8.000000000000001e-06 + +2023-08-10 06:34:31,400 - train: [ INFO] - Train: 4 [ 40/41 (100%)] Loss: 6.066139 (6.0741) Acc@1: 7.5000 (10.7317) Acc@5: 38.3333 (40.0610) Time: 0.694s, 172.89/s LR: 4.689e-04 P_Replacement: 1.539745505723945e-05 + +2023-08-10 06:34:34,101 - train: [ INFO] - Test: [ 0/16] Time: 1.513 (1.513) Loss: 3.0585 (3.0585) cLoss: 0.0000 (0.0000) Acc@1: 0.8333 ( 0.8333)Acc@5: 16.6667 (16.6667) + +2023-08-10 06:34:37,279 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.276) Loss: 3.0480 (3.0187) cLoss: 0.0000 (0.0000) Acc@1: 1.2500 ( 5.5000)Acc@5: 22.5000 (26.6500) + +2023-08-10 06:34:41,177 - train: [ INFO] - Train: 5 [ 0/41 ( 0%)] Loss: 6.055530 (6.0555) Acc@1: 12.5000 (12.5000) Acc@5: 40.8333 (40.8333) Time: 2.915s, 41.17/s LR: 5.850e-04 P_Replacement: 1.5625000000000004e-05 + +2023-08-10 06:35:06,666 - train: [ INFO] - Train: 5 [ 40/41 (100%)] Loss: 6.064615 (6.0557) Acc@1: 10.0000 (11.7683) Acc@5: 38.3333 (42.6016) Time: 0.693s, 173.23/s LR: 5.850e-04 P_Replacement: 2.6672068382640992e-05 + +2023-08-10 06:35:09,343 - train: [ INFO] - Test: [ 0/16] Time: 1.539 (1.539) Loss: 2.9980 (2.9980) cLoss: 0.0000 (0.0000) Acc@1: 5.8333 ( 5.8333)Acc@5: 30.8333 (30.8333) + +2023-08-10 06:35:12,493 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.276) Loss: 2.9798 (2.9881) cLoss: 0.0000 (0.0000) Acc@1: 2.5000 ( 5.0000)Acc@5: 32.5000 (27.5500) + +2023-08-10 06:35:16,663 - train: [ INFO] - Train: 6 [ 0/41 ( 0%)] Loss: 6.077970 (6.0780) Acc@1: 12.5000 (12.5000) Acc@5: 33.3333 (33.3333) Time: 2.879s, 41.68/s LR: 5.847e-04 P_Replacement: 2.6999999999999996e-05 + +2023-08-10 06:35:42,022 - train: [ INFO] - Train: 6 [ 40/41 (100%)] Loss: 6.000613 (6.0180) Acc@1: 14.1667 (14.2683) Acc@5: 46.6667 (45.9756) Time: 0.689s, 174.24/s LR: 5.847e-04 P_Replacement: 4.2428389025115725e-05 + +2023-08-10 06:35:44,579 - train: [ INFO] - Test: [ 0/16] Time: 1.584 (1.584) Loss: 3.0781 (3.0781) cLoss: 0.0000 (0.0000) Acc@1: 5.8333 ( 5.8333)Acc@5: 30.0000 (30.0000) + +2023-08-10 06:35:47,702 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.277) Loss: 2.9265 (3.0068) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 ( 9.2500)Acc@5: 41.2500 (32.3500) + +2023-08-10 06:35:48,566 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-6.pth.tar', 9.25000054359436) + +2023-08-10 06:35:51,421 - train: [ INFO] - Train: 7 [ 0/41 ( 0%)] Loss: 6.000981 (6.0010) Acc@1: 15.8333 (15.8333) Acc@5: 45.0000 (45.0000) Time: 2.840s, 42.26/s LR: 5.842e-04 P_Replacement: 4.287500000000001e-05 + +2023-08-10 06:36:16,966 - train: [ INFO] - Train: 7 [ 40/41 (100%)] Loss: 5.946180 (5.9745) Acc@1: 15.8333 (15.7724) Acc@5: 47.5000 (48.8008) Time: 0.692s, 173.34/s LR: 5.842e-04 P_Replacement: 6.34164169846636e-05 + +2023-08-10 06:36:19,543 - train: [ INFO] - Test: [ 0/16] Time: 1.574 (1.574) Loss: 2.9258 (2.9258) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 35.8333 (35.8333) + +2023-08-10 06:36:22,681 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.277) Loss: 3.0552 (3.0475) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5500)Acc@5: 31.2500 (32.1500) + +2023-08-10 06:36:26,848 - train: [ INFO] - Train: 8 [ 0/41 ( 0%)] Loss: 5.896762 (5.8968) Acc@1: 19.1667 (19.1667) Acc@5: 52.5000 (52.5000) Time: 2.924s, 41.04/s LR: 5.837e-04 P_Replacement: 6.400000000000001e-05 + +2023-08-10 06:36:52,212 - train: [ INFO] - Train: 8 [ 40/41 (100%)] Loss: 5.836483 (5.9432) Acc@1: 20.8333 (15.8740) Acc@5: 61.6667 (49.6748) Time: 0.690s, 173.94/s LR: 5.837e-04 P_Replacement: 9.038615226128465e-05 + +2023-08-10 06:36:54,674 - train: [ INFO] - Test: [ 0/16] Time: 1.515 (1.515) Loss: 2.9869 (2.9869) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 34.1667 (34.1667) + +2023-08-10 06:36:57,832 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.275) Loss: 2.9249 (2.9293) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 ( 8.7500)Acc@5: 40.0000 (36.0000) + +2023-08-10 06:37:02,205 - train: [ INFO] - Train: 9 [ 0/41 ( 0%)] Loss: 5.865756 (5.8658) Acc@1: 20.8333 (20.8333) Acc@5: 55.0000 (55.0000) Time: 3.036s, 39.52/s LR: 5.831e-04 P_Replacement: 9.112499999999999e-05 + +2023-08-10 06:37:27,617 - train: [ INFO] - Train: 9 [ 40/41 (100%)] Loss: 5.709478 (5.8799) Acc@1: 27.5000 (17.8455) Acc@5: 60.0000 (52.1545) Time: 0.694s, 172.96/s LR: 5.831e-04 P_Replacement: 0.0001240875948549789 + +2023-08-10 06:37:30,099 - train: [ INFO] - Test: [ 0/16] Time: 1.490 (1.490) Loss: 3.1474 (3.1474) cLoss: 0.0000 (0.0000) Acc@1: 4.1667 ( 4.1667)Acc@5: 36.6667 (36.6667) + +2023-08-10 06:37:33,245 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.273) Loss: 3.1396 (3.1335) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 7.2500)Acc@5: 31.2500 (33.9000) + +2023-08-10 06:37:37,166 - train: [ INFO] - Train: 10 [ 0/41 ( 0%)] Loss: 5.828067 (5.8281) Acc@1: 21.6667 (21.6667) Acc@5: 55.8333 (55.8333) Time: 3.097s, 38.74/s LR: 5.824e-04 P_Replacement: 0.00012500000000000003 + +2023-08-10 06:38:02,516 - train: [ INFO] - Train: 10 [ 40/41 (100%)] Loss: 5.702453 (5.8187) Acc@1: 18.3333 (18.2927) Acc@5: 60.0000 (54.0041) Time: 0.694s, 172.97/s LR: 5.824e-04 P_Replacement: 0.0001652707447657463 + +2023-08-10 06:38:05,034 - train: [ INFO] - Test: [ 0/16] Time: 1.513 (1.513) Loss: 2.8871 (2.8871) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 45.0000 (45.0000) + +2023-08-10 06:38:08,167 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.273) Loss: 3.0587 (3.0352) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 ( 9.0500)Acc@5: 33.7500 (36.0500) + +2023-08-10 06:38:11,920 - train: [ INFO] - Train: 11 [ 0/41 ( 0%)] Loss: 5.604464 (5.6045) Acc@1: 24.1667 (24.1667) Acc@5: 64.1667 (64.1667) Time: 2.983s, 40.23/s LR: 5.816e-04 P_Replacement: 0.000166375 + +2023-08-10 06:38:37,214 - train: [ INFO] - Train: 11 [ 40/41 (100%)] Loss: 5.630741 (5.7398) Acc@1: 16.6667 (18.9228) Acc@5: 60.0000 (54.8577) Time: 0.690s, 174.01/s LR: 5.816e-04 P_Replacement: 0.00021468560199358684 + +2023-08-10 06:38:40,044 - train: [ INFO] - Test: [ 0/16] Time: 1.585 (1.585) Loss: 2.9912 (2.9912) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 33.3333 (33.3333) + +2023-08-10 06:38:43,187 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.278) Loss: 2.9643 (2.9185) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (13.5000)Acc@5: 43.7500 (40.7000) + +2023-08-10 06:38:44,005 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-11.pth.tar', 13.500000772476197) + +2023-08-10 06:38:47,116 - train: [ INFO] - Train: 12 [ 0/41 ( 0%)] Loss: 5.557323 (5.5573) Acc@1: 25.0000 (25.0000) Acc@5: 60.0000 (60.0000) Time: 3.095s, 38.78/s LR: 5.808e-04 P_Replacement: 0.00021599999999999996 + +2023-08-10 06:39:12,502 - train: [ INFO] - Train: 12 [ 40/41 (100%)] Loss: 5.486108 (5.6022) Acc@1: 22.5000 (19.7967) Acc@5: 64.1667 (55.8333) Time: 0.695s, 172.76/s LR: 5.808e-04 P_Replacement: 0.0002730821665385006 + +2023-08-10 06:39:14,919 - train: [ INFO] - Test: [ 0/16] Time: 1.601 (1.601) Loss: 2.9270 (2.9270) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 42.5000 (42.5000) + +2023-08-10 06:39:18,038 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.278) Loss: 2.9376 (2.9045) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (12.4500)Acc@5: 38.7500 (41.8000) + +2023-08-10 06:39:21,911 - train: [ INFO] - Train: 13 [ 0/41 ( 0%)] Loss: 5.788094 (5.7881) Acc@1: 13.3333 (13.3333) Acc@5: 54.1667 (54.1667) Time: 3.082s, 38.94/s LR: 5.800e-04 P_Replacement: 0.000274625 + +2023-08-10 06:39:47,327 - train: [ INFO] - Train: 13 [ 40/41 (100%)] Loss: 5.341135 (5.3852) Acc@1: 17.5000 (20.4065) Acc@5: 53.3333 (57.8252) Time: 0.695s, 172.65/s LR: 5.800e-04 P_Replacement: 0.0003412104384004876 + +2023-08-10 06:39:49,627 - train: [ INFO] - Test: [ 0/16] Time: 1.593 (1.593) Loss: 2.8434 (2.8434) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 45.8333 (45.8333) + +2023-08-10 06:39:52,770 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.279) Loss: 2.8816 (2.8830) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (12.7000)Acc@5: 45.0000 (42.9500) + +2023-08-10 06:39:57,367 - train: [ INFO] - Train: 14 [ 0/41 ( 0%)] Loss: 5.344842 (5.3448) Acc@1: 16.6667 (16.6667) Acc@5: 55.8333 (55.8333) Time: 3.234s, 37.11/s LR: 5.790e-04 P_Replacement: 0.0003430000000000001 + +2023-08-10 06:40:22,798 - train: [ INFO] - Train: 14 [ 40/41 (100%)] Loss: 5.049515 (5.0721) Acc@1: 19.1667 (21.6667) Acc@5: 59.1667 (58.5366) Time: 0.699s, 171.66/s LR: 5.790e-04 P_Replacement: 0.00041982041757954755 + +2023-08-10 06:40:25,678 - train: [ INFO] - Test: [ 0/16] Time: 1.643 (1.643) Loss: 2.9270 (2.9270) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 38.3333 (38.3333) + +2023-08-10 06:40:28,837 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.283) Loss: 3.0082 (2.9110) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 (11.7000)Acc@5: 42.5000 (42.1000) + +2023-08-10 06:40:33,281 - train: [ INFO] - Train: 15 [ 0/41 ( 0%)] Loss: 4.682539 (4.6825) Acc@1: 28.3333 (28.3333) Acc@5: 64.1667 (64.1667) Time: 3.117s, 38.50/s LR: 5.780e-04 P_Replacement: 0.00042187499999999994 + +2023-08-10 06:40:58,651 - train: [ INFO] - Train: 15 [ 40/41 (100%)] Loss: 4.511046 (4.7090) Acc@1: 25.8333 (22.2967) Acc@5: 62.5000 (59.7764) Time: 0.695s, 172.72/s LR: 5.780e-04 P_Replacement: 0.0005096621040756809 + +2023-08-10 06:41:01,418 - train: [ INFO] - Test: [ 0/16] Time: 1.592 (1.592) Loss: 2.7618 (2.7618) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 45.8333 (45.8333) + +2023-08-10 06:41:04,569 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.279) Loss: 2.9170 (2.9261) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (12.4000)Acc@5: 38.7500 (42.0000) + +2023-08-10 06:41:08,370 - train: [ INFO] - Train: 16 [ 0/41 ( 0%)] Loss: 4.538654 (4.5387) Acc@1: 26.6667 (26.6667) Acc@5: 65.8333 (65.8333) Time: 2.996s, 40.05/s LR: 5.769e-04 P_Replacement: 0.0005120000000000001 + +2023-08-10 06:41:33,784 - train: [ INFO] - Train: 16 [ 40/41 (100%)] Loss: 4.132488 (4.3372) Acc@1: 28.3333 (23.4350) Acc@5: 62.5000 (60.6301) Time: 0.693s, 173.19/s LR: 5.769e-04 P_Replacement: 0.0006114854978888874 + +2023-08-10 06:41:36,590 - train: [ INFO] - Test: [ 0/16] Time: 1.605 (1.605) Loss: 3.1006 (3.1006) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 44.1667 (44.1667) + +2023-08-10 06:41:39,766 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.281) Loss: 3.2454 (3.1330) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (11.4000)Acc@5: 41.2500 (41.2500) + +2023-08-10 06:41:43,688 - train: [ INFO] - Train: 17 [ 0/41 ( 0%)] Loss: 4.015706 (4.0157) Acc@1: 23.3333 (23.3333) Acc@5: 60.0000 (60.0000) Time: 2.978s, 40.29/s LR: 5.757e-04 P_Replacement: 0.0006141250000000001 + +2023-08-10 06:42:09,193 - train: [ INFO] - Train: 17 [ 40/41 (100%)] Loss: 3.677931 (3.9430) Acc@1: 31.6667 (24.8374) Acc@5: 63.3333 (61.6260) Time: 0.695s, 172.74/s LR: 5.757e-04 P_Replacement: 0.0007260405990191668 + +2023-08-10 06:42:11,520 - train: [ INFO] - Test: [ 0/16] Time: 1.592 (1.592) Loss: 2.9327 (2.9327) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 46.6667 (46.6667) + +2023-08-10 06:42:14,668 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.279) Loss: 2.9459 (2.9102) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (14.3500)Acc@5: 46.2500 (46.5500) + +2023-08-10 06:42:15,909 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-17.pth.tar', 14.350000686645508) + +2023-08-10 06:42:19,053 - train: [ INFO] - Train: 18 [ 0/41 ( 0%)] Loss: 3.846819 (3.8468) Acc@1: 21.6667 (21.6667) Acc@5: 55.8333 (55.8333) Time: 3.123s, 38.42/s LR: 5.745e-04 P_Replacement: 0.0007289999999999999 + +2023-08-10 06:42:44,486 - train: [ INFO] - Train: 18 [ 40/41 (100%)] Loss: 3.487348 (3.6401) Acc@1: 30.0000 (25.1220) Acc@5: 65.8333 (62.5813) Time: 0.696s, 172.30/s LR: 5.745e-04 P_Replacement: 0.0008540774074665197 + +2023-08-10 06:42:47,315 - train: [ INFO] - Test: [ 0/16] Time: 1.618 (1.618) Loss: 3.1116 (3.1116) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 36.6667 (36.6667) + +2023-08-10 06:42:50,489 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.282) Loss: 2.8693 (2.9882) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (10.9000)Acc@5: 43.7500 (42.5000) + +2023-08-10 06:42:54,839 - train: [ INFO] - Train: 19 [ 0/41 ( 0%)] Loss: 3.489554 (3.4896) Acc@1: 21.6667 (21.6667) Acc@5: 61.6667 (61.6667) Time: 3.078s, 38.99/s LR: 5.732e-04 P_Replacement: 0.0008573750000000001 + +2023-08-10 06:43:20,413 - train: [ INFO] - Train: 19 [ 40/41 (100%)] Loss: 3.472137 (3.4128) Acc@1: 28.3333 (25.6098) Acc@5: 62.5000 (63.3130) Time: 0.699s, 171.73/s LR: 5.732e-04 P_Replacement: 0.0009963459232309457 + +2023-08-10 06:43:23,148 - train: [ INFO] - Test: [ 0/16] Time: 1.683 (1.683) Loss: 2.9847 (2.9847) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 42.5000 (42.5000) + +2023-08-10 06:43:26,325 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.286) Loss: 2.9217 (3.0065) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.2500)Acc@5: 38.7500 (39.0500) + +2023-08-10 06:43:30,212 - train: [ INFO] - Train: 20 [ 0/41 ( 0%)] Loss: 3.207417 (3.2074) Acc@1: 34.1667 (34.1667) Acc@5: 75.8333 (75.8333) Time: 3.079s, 38.97/s LR: 5.718e-04 P_Replacement: 0.0010000000000000002 + +2023-08-10 06:43:55,746 - train: [ INFO] - Train: 20 [ 40/41 (100%)] Loss: 3.082497 (3.2425) Acc@1: 28.3333 (27.0732) Acc@5: 68.3333 (64.6341) Time: 0.698s, 171.96/s LR: 5.718e-04 P_Replacement: 0.0011535961463124446 + +2023-08-10 06:43:58,006 - train: [ INFO] - Test: [ 0/16] Time: 1.563 (1.563) Loss: 2.7666 (2.7666) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 44.1667 (44.1667) + +2023-08-10 06:44:01,161 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.278) Loss: 2.8318 (2.9094) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (12.7500)Acc@5: 47.5000 (44.7000) + +2023-08-10 06:44:05,507 - train: [ INFO] - Train: 21 [ 0/41 ( 0%)] Loss: 3.151110 (3.1511) Acc@1: 29.1667 (29.1667) Acc@5: 70.8333 (70.8333) Time: 3.067s, 39.13/s LR: 5.704e-04 P_Replacement: 0.0011576249999999998 + +2023-08-10 06:44:30,945 - train: [ INFO] - Train: 21 [ 40/41 (100%)] Loss: 3.186630 (3.1218) Acc@1: 26.6667 (28.1911) Acc@5: 65.0000 (66.1789) Time: 0.695s, 172.61/s LR: 5.704e-04 P_Replacement: 0.001326578076711017 + +2023-08-10 06:44:33,625 - train: [ INFO] - Test: [ 0/16] Time: 1.590 (1.590) Loss: 3.0436 (3.0436) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 40.0000 (40.0000) + +2023-08-10 06:44:36,772 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.279) Loss: 3.1599 (3.0778) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 (10.0500)Acc@5: 37.5000 (38.1500) + +2023-08-10 06:44:40,628 - train: [ INFO] - Train: 22 [ 0/41 ( 0%)] Loss: 2.998765 (2.9988) Acc@1: 28.3333 (28.3333) Acc@5: 70.0000 (70.0000) Time: 3.052s, 39.31/s LR: 5.689e-04 P_Replacement: 0.001331 + +2023-08-10 06:45:06,053 - train: [ INFO] - Train: 22 [ 40/41 (100%)] Loss: 2.971881 (3.0426) Acc@1: 26.6667 (28.4553) Acc@5: 64.1667 (66.9309) Time: 0.695s, 172.78/s LR: 5.689e-04 P_Replacement: 0.0015160417144266627 + +2023-08-10 06:45:08,637 - train: [ INFO] - Test: [ 0/16] Time: 1.634 (1.634) Loss: 2.9657 (2.9657) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 42.5000 (42.5000) + +2023-08-10 06:45:11,771 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.280) Loss: 3.0130 (2.8881) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.2000)Acc@5: 42.5000 (45.5500) + +2023-08-10 06:45:15,626 - train: [ INFO] - Train: 23 [ 0/41 ( 0%)] Loss: 2.775497 (2.7755) Acc@1: 34.1667 (34.1667) Acc@5: 65.0000 (65.0000) Time: 3.042s, 39.44/s LR: 5.673e-04 P_Replacement: 0.001520875 + +2023-08-10 06:45:41,040 - train: [ INFO] - Train: 23 [ 40/41 (100%)] Loss: 2.851091 (2.9583) Acc@1: 27.5000 (28.9634) Acc@5: 72.5000 (67.5203) Time: 0.694s, 172.91/s LR: 5.673e-04 P_Replacement: 0.0017227370594593808 + +2023-08-10 06:45:43,883 - train: [ INFO] - Test: [ 0/16] Time: 1.617 (1.617) Loss: 2.8102 (2.8102) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 48.3333 (48.3333) + +2023-08-10 06:45:47,023 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.280) Loss: 2.9203 (2.9067) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (13.5000)Acc@5: 36.2500 (43.2500) + +2023-08-10 06:45:51,337 - train: [ INFO] - Train: 24 [ 0/41 ( 0%)] Loss: 2.845486 (2.8455) Acc@1: 33.3333 (33.3333) Acc@5: 66.6667 (66.6667) Time: 3.075s, 39.02/s LR: 5.657e-04 P_Replacement: 0.0017279999999999997 + +2023-08-10 06:46:16,823 - train: [ INFO] - Train: 24 [ 40/41 (100%)] Loss: 3.060845 (2.9212) Acc@1: 31.6667 (29.9797) Acc@5: 71.6667 (69.3902) Time: 0.697s, 172.26/s LR: 5.657e-04 P_Replacement: 0.0019474141118091728 + +2023-08-10 06:46:19,220 - train: [ INFO] - Test: [ 0/16] Time: 1.621 (1.621) Loss: 3.0302 (3.0302) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 40.0000 (40.0000) + +2023-08-10 06:46:22,351 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.280) Loss: 2.7171 (2.8803) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (13.9000)Acc@5: 47.5000 (45.3500) + +2023-08-10 06:46:26,565 - train: [ INFO] - Train: 25 [ 0/41 ( 0%)] Loss: 2.814355 (2.8144) Acc@1: 27.5000 (27.5000) Acc@5: 65.0000 (65.0000) Time: 3.057s, 39.25/s LR: 5.640e-04 P_Replacement: 0.001953125 + +2023-08-10 06:46:52,115 - train: [ INFO] - Train: 25 [ 40/41 (100%)] Loss: 2.891519 (2.8533) Acc@1: 33.3333 (30.6707) Acc@5: 70.0000 (69.5325) Time: 0.698s, 171.99/s LR: 5.640e-04 P_Replacement: 0.002190822871476038 + +2023-08-10 06:46:54,917 - train: [ INFO] - Test: [ 0/16] Time: 1.646 (1.646) Loss: 2.8807 (2.8807) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 44.1667 (44.1667) + +2023-08-10 06:46:58,060 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.282) Loss: 2.9546 (2.9374) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 (11.9500)Acc@5: 40.0000 (41.3000) + +2023-08-10 06:47:02,409 - train: [ INFO] - Train: 26 [ 0/41 ( 0%)] Loss: 2.942841 (2.9428) Acc@1: 34.1667 (34.1667) Acc@5: 69.1667 (69.1667) Time: 3.066s, 39.14/s LR: 5.623e-04 P_Replacement: 0.002197 + +2023-08-10 06:47:27,900 - train: [ INFO] - Train: 26 [ 40/41 (100%)] Loss: 2.816883 (2.8099) Acc@1: 33.3333 (31.6463) Acc@5: 75.0000 (70.7114) Time: 0.696s, 172.29/s LR: 5.623e-04 P_Replacement: 0.0024537133384599764 + +2023-08-10 06:47:30,497 - train: [ INFO] - Test: [ 0/16] Time: 1.613 (1.613) Loss: 3.2164 (3.2164) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 38.3333 (38.3333) + +2023-08-10 06:47:33,639 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.280) Loss: 3.2561 (3.1652) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 8.8500)Acc@5: 37.5000 (41.6500) + +2023-08-10 06:47:37,947 - train: [ INFO] - Train: 27 [ 0/41 ( 0%)] Loss: 2.631212 (2.6312) Acc@1: 38.3333 (38.3333) Acc@5: 74.1667 (74.1667) Time: 3.037s, 39.51/s LR: 5.604e-04 P_Replacement: 0.0024603750000000003 + +2023-08-10 06:48:03,417 - train: [ INFO] - Train: 27 [ 40/41 (100%)] Loss: 2.792117 (2.7810) Acc@1: 27.5000 (32.1341) Acc@5: 71.6667 (70.9553) Time: 0.695s, 172.60/s LR: 5.604e-04 P_Replacement: 0.002736835512760988 + +2023-08-10 06:48:05,724 - train: [ INFO] - Test: [ 0/16] Time: 1.559 (1.559) Loss: 2.8991 (2.8991) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 46.6667 (46.6667) + +2023-08-10 06:48:08,870 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.277) Loss: 2.9366 (2.8733) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 (14.1500)Acc@5: 43.7500 (45.0000) + +2023-08-10 06:48:12,767 - train: [ INFO] - Train: 28 [ 0/41 ( 0%)] Loss: 2.751494 (2.7515) Acc@1: 33.3333 (33.3333) Acc@5: 71.6667 (71.6667) Time: 3.054s, 39.30/s LR: 5.585e-04 P_Replacement: 0.0027440000000000008 + +2023-08-10 06:48:38,158 - train: [ INFO] - Train: 28 [ 40/41 (100%)] Loss: 2.923041 (2.7586) Acc@1: 30.0000 (33.4350) Acc@5: 66.6667 (71.1992) Time: 0.694s, 172.98/s LR: 5.585e-04 P_Replacement: 0.003040939394379071 + +2023-08-10 06:48:40,884 - train: [ INFO] - Test: [ 0/16] Time: 1.566 (1.566) Loss: 3.1442 (3.1442) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 36.6667 (36.6667) + +2023-08-10 06:48:44,038 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.278) Loss: 3.0590 (2.9891) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.8000)Acc@5: 38.7500 (40.8500) + +2023-08-10 06:48:47,931 - train: [ INFO] - Train: 29 [ 0/41 ( 0%)] Loss: 2.673005 (2.6730) Acc@1: 40.0000 (40.0000) Acc@5: 76.6667 (76.6667) Time: 3.075s, 39.03/s LR: 5.566e-04 P_Replacement: 0.0030486249999999993 + +2023-08-10 06:49:13,390 - train: [ INFO] - Train: 29 [ 40/41 (100%)] Loss: 2.749795 (2.7008) Acc@1: 30.0000 (33.7805) Acc@5: 72.5000 (73.6585) Time: 0.696s, 172.44/s LR: 5.566e-04 P_Replacement: 0.003366774983314229 + +2023-08-10 06:49:16,170 - train: [ INFO] - Test: [ 0/16] Time: 1.605 (1.605) Loss: 3.2455 (3.2455) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 39.1667 (39.1667) + +2023-08-10 06:49:19,312 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.279) Loss: 2.8054 (3.1107) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (10.7500)Acc@5: 55.0000 (39.7500) + +2023-08-10 06:49:23,233 - train: [ INFO] - Train: 30 [ 0/41 ( 0%)] Loss: 2.642429 (2.6424) Acc@1: 27.5000 (27.5000) Acc@5: 71.6667 (71.6667) Time: 3.089s, 38.85/s LR: 5.546e-04 P_Replacement: 0.0033749999999999995 + +2023-08-10 06:49:48,695 - train: [ INFO] - Train: 30 [ 40/41 (100%)] Loss: 2.732060 (2.6864) Acc@1: 32.5000 (33.8008) Acc@5: 64.1667 (72.9065) Time: 0.696s, 172.34/s LR: 5.546e-04 P_Replacement: 0.00371509227956646 + +2023-08-10 06:49:51,287 - train: [ INFO] - Test: [ 0/16] Time: 1.606 (1.606) Loss: 2.8385 (2.8385) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 44.1667 (44.1667) + +2023-08-10 06:49:54,463 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.281) Loss: 3.0968 (3.0186) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 (13.0000)Acc@5: 38.7500 (42.2500) + +2023-08-10 06:49:58,844 - train: [ INFO] - Train: 31 [ 0/41 ( 0%)] Loss: 2.592082 (2.5921) Acc@1: 40.8333 (40.8333) Acc@5: 75.8333 (75.8333) Time: 3.064s, 39.16/s LR: 5.525e-04 P_Replacement: 0.0037238749999999998 + +2023-08-10 06:50:24,251 - train: [ INFO] - Train: 31 [ 40/41 (100%)] Loss: 2.768953 (2.6940) Acc@1: 30.0000 (35.2236) Acc@5: 75.0000 (74.0650) Time: 0.694s, 172.81/s LR: 5.525e-04 P_Replacement: 0.004086641283135764 + +2023-08-10 06:50:26,564 - train: [ INFO] - Test: [ 0/16] Time: 1.559 (1.559) Loss: 2.9466 (2.9466) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 43.3333 (43.3333) + +2023-08-10 06:50:29,720 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.277) Loss: 2.8960 (2.9483) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (13.4500)Acc@5: 45.0000 (42.8000) + +2023-08-10 06:50:33,844 - train: [ INFO] - Train: 32 [ 0/41 ( 0%)] Loss: 2.383330 (2.3833) Acc@1: 41.6667 (41.6667) Acc@5: 81.6667 (81.6667) Time: 3.017s, 39.78/s LR: 5.503e-04 P_Replacement: 0.004096000000000001 + +2023-08-10 06:50:59,263 - train: [ INFO] - Train: 32 [ 40/41 (100%)] Loss: 2.823209 (2.6394) Acc@1: 32.5000 (36.0163) Acc@5: 72.5000 (75.2236) Time: 0.694s, 173.03/s LR: 5.503e-04 P_Replacement: 0.004482171994022142 + +2023-08-10 06:51:01,610 - train: [ INFO] - Test: [ 0/16] Time: 1.598 (1.598) Loss: 2.9878 (2.9878) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 41.6667 (41.6667) + +2023-08-10 06:51:04,788 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.281) Loss: 2.9291 (2.9727) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (11.2500)Acc@5: 50.0000 (44.2000) + +2023-08-10 06:51:08,710 - train: [ INFO] - Train: 33 [ 0/41 ( 0%)] Loss: 2.614661 (2.6147) Acc@1: 35.8333 (35.8333) Acc@5: 75.8333 (75.8333) Time: 3.114s, 38.54/s LR: 5.481e-04 P_Replacement: 0.0044921250000000005 + +2023-08-10 06:51:34,118 - train: [ INFO] - Train: 33 [ 40/41 (100%)] Loss: 2.516816 (2.6103) Acc@1: 39.1667 (37.1341) Acc@5: 81.6667 (76.1992) Time: 0.696s, 172.51/s LR: 5.481e-04 P_Replacement: 0.004902434412225593 + +2023-08-10 06:51:36,533 - train: [ INFO] - Test: [ 0/16] Time: 1.595 (1.595) Loss: 3.2531 (3.2531) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 29.1667 (29.1667) + +2023-08-10 06:51:39,740 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.282) Loss: 3.1637 (3.0516) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 (10.2500)Acc@5: 33.7500 (39.5000) + +2023-08-10 06:51:43,717 - train: [ INFO] - Train: 34 [ 0/41 ( 0%)] Loss: 2.655691 (2.6557) Acc@1: 36.6667 (36.6667) Acc@5: 70.0000 (70.0000) Time: 3.170s, 37.86/s LR: 5.458e-04 P_Replacement: 0.004913000000000001 + +2023-08-10 06:52:09,237 - train: [ INFO] - Train: 34 [ 40/41 (100%)] Loss: 2.604394 (2.6097) Acc@1: 36.6667 (36.8699) Acc@5: 78.3333 (75.6301) Time: 0.700s, 171.50/s LR: 5.458e-04 P_Replacement: 0.0053481785377461144 + +2023-08-10 06:52:11,836 - train: [ INFO] - Test: [ 0/16] Time: 1.575 (1.575) Loss: 2.9295 (2.9295) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 43.3333 (43.3333) + +2023-08-10 06:52:15,032 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.281) Loss: 2.8591 (2.8773) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (13.5500)Acc@5: 45.0000 (44.3000) + +2023-08-10 06:52:19,072 - train: [ INFO] - Train: 35 [ 0/41 ( 0%)] Loss: 2.479736 (2.4797) Acc@1: 40.0000 (40.0000) Acc@5: 77.5000 (77.5000) Time: 3.218s, 37.29/s LR: 5.435e-04 P_Replacement: 0.005359374999999999 + +2023-08-10 06:52:44,466 - train: [ INFO] - Train: 35 [ 40/41 (100%)] Loss: 2.564758 (2.5781) Acc@1: 35.8333 (38.1301) Acc@5: 75.0000 (77.2155) Time: 0.698s, 171.96/s LR: 5.435e-04 P_Replacement: 0.005820154370583711 + +2023-08-10 06:52:47,257 - train: [ INFO] - Test: [ 0/16] Time: 1.586 (1.586) Loss: 2.9430 (2.9430) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 38.3333 (38.3333) + +2023-08-10 06:52:50,467 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.282) Loss: 2.8284 (2.9437) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (11.7000)Acc@5: 50.0000 (42.0000) + +2023-08-10 06:52:54,371 - train: [ INFO] - Train: 36 [ 0/41 ( 0%)] Loss: 2.451561 (2.4516) Acc@1: 45.0000 (45.0000) Acc@5: 78.3333 (78.3333) Time: 3.063s, 39.18/s LR: 5.411e-04 P_Replacement: 0.0058319999999999995 + +2023-08-10 06:53:19,836 - train: [ INFO] - Train: 36 [ 40/41 (100%)] Loss: 2.637391 (2.5643) Acc@1: 39.1667 (39.5122) Acc@5: 80.8333 (77.7236) Time: 0.696s, 172.47/s LR: 5.411e-04 P_Replacement: 0.006319111910738381 + +2023-08-10 06:53:22,165 - train: [ INFO] - Test: [ 0/16] Time: 1.576 (1.576) Loss: 2.9288 (2.9288) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 45.8333 (45.8333) + +2023-08-10 06:53:25,379 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.282) Loss: 3.1026 (3.0027) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (12.4500)Acc@5: 38.7500 (40.6500) + +2023-08-10 06:53:29,776 - train: [ INFO] - Train: 37 [ 0/41 ( 0%)] Loss: 2.430435 (2.4304) Acc@1: 41.6667 (41.6667) Acc@5: 82.5000 (82.5000) Time: 3.031s, 39.59/s LR: 5.387e-04 P_Replacement: 0.006331625 + +2023-08-10 06:53:55,252 - train: [ INFO] - Train: 37 [ 40/41 (100%)] Loss: 2.551282 (2.5284) Acc@1: 37.5000 (39.1667) Acc@5: 75.0000 (79.1870) Time: 0.695s, 172.60/s LR: 5.387e-04 P_Replacement: 0.006845801158210125 + +2023-08-10 06:53:57,861 - train: [ INFO] - Test: [ 0/16] Time: 1.621 (1.621) Loss: 3.1958 (3.1958) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 31.6667 (31.6667) + +2023-08-10 06:54:01,068 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.284) Loss: 3.0501 (3.1439) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (10.2500)Acc@5: 41.2500 (36.7500) + +2023-08-10 06:54:05,027 - train: [ INFO] - Train: 38 [ 0/41 ( 0%)] Loss: 2.487209 (2.4872) Acc@1: 45.0000 (45.0000) Acc@5: 75.0000 (75.0000) Time: 3.129s, 38.35/s LR: 5.361e-04 P_Replacement: 0.0068590000000000005 + +2023-08-10 06:54:30,383 - train: [ INFO] - Train: 38 [ 40/41 (100%)] Loss: 2.438288 (2.5113) Acc@1: 40.8333 (41.1382) Acc@5: 82.5000 (79.0854) Time: 0.695s, 172.74/s LR: 5.361e-04 P_Replacement: 0.007400972112998941 + +2023-08-10 06:54:33,034 - train: [ INFO] - Test: [ 0/16] Time: 1.594 (1.594) Loss: 2.8640 (2.8640) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 43.3333 (43.3333) + +2023-08-10 06:54:36,223 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.281) Loss: 3.0956 (2.8466) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 (14.3000)Acc@5: 42.5000 (45.5500) + +2023-08-10 06:54:40,120 - train: [ INFO] - Train: 39 [ 0/41 ( 0%)] Loss: 2.305320 (2.3053) Acc@1: 48.3333 (48.3333) Acc@5: 85.0000 (85.0000) Time: 3.026s, 39.65/s LR: 5.336e-04 P_Replacement: 0.0074148750000000005 + +2023-08-10 06:55:05,492 - train: [ INFO] - Train: 39 [ 40/41 (100%)] Loss: 2.670535 (2.5058) Acc@1: 39.1667 (40.8130) Acc@5: 76.6667 (79.8374) Time: 0.693s, 173.26/s LR: 5.336e-04 P_Replacement: 0.007985374775104831 + +2023-08-10 06:55:08,147 - train: [ INFO] - Test: [ 0/16] Time: 1.567 (1.567) Loss: 3.0170 (3.0170) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 45.8333 (45.8333) + +2023-08-10 06:55:11,339 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.280) Loss: 2.7288 (2.9918) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (12.1000)Acc@5: 51.2500 (46.7500) + +2023-08-10 06:55:15,179 - train: [ INFO] - Train: 40 [ 0/41 ( 0%)] Loss: 2.202091 (2.2021) Acc@1: 50.0000 (50.0000) Acc@5: 84.1667 (84.1667) Time: 3.027s, 39.64/s LR: 5.309e-04 P_Replacement: 0.008000000000000002 + +2023-08-10 06:55:40,504 - train: [ INFO] - Train: 40 [ 40/41 (100%)] Loss: 2.607275 (2.4349) Acc@1: 35.0000 (42.6829) Acc@5: 71.6667 (81.1789) Time: 0.691s, 173.54/s LR: 5.309e-04 P_Replacement: 0.008599759144527791 + +2023-08-10 06:55:43,248 - train: [ INFO] - Test: [ 0/16] Time: 1.596 (1.596) Loss: 2.8992 (2.8992) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 42.5000 (42.5000) + +2023-08-10 06:55:46,437 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.281) Loss: 2.9308 (2.9114) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 (14.0500)Acc@5: 41.2500 (44.1500) + +2023-08-10 06:55:50,366 - train: [ INFO] - Train: 41 [ 0/41 ( 0%)] Loss: 2.345318 (2.3453) Acc@1: 44.1667 (44.1667) Acc@5: 81.6667 (81.6667) Time: 3.066s, 39.14/s LR: 5.283e-04 P_Replacement: 0.008615124999999998 + +2023-08-10 06:56:15,727 - train: [ INFO] - Train: 41 [ 40/41 (100%)] Loss: 2.480971 (2.4264) Acc@1: 45.8333 (43.6789) Acc@5: 80.0000 (82.1748) Time: 0.693s, 173.08/s LR: 5.283e-04 P_Replacement: 0.009244875221267827 + +2023-08-10 06:56:18,202 - train: [ INFO] - Test: [ 0/16] Time: 1.617 (1.617) Loss: 3.0870 (3.0870) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 38.3333 (38.3333) + +2023-08-10 06:56:21,385 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.282) Loss: 2.9538 (3.0677) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (11.0500)Acc@5: 37.5000 (39.4500) + +2023-08-10 06:56:25,249 - train: [ INFO] - Train: 42 [ 0/41 ( 0%)] Loss: 2.361709 (2.3617) Acc@1: 41.6667 (41.6667) Acc@5: 83.3333 (83.3333) Time: 3.023s, 39.70/s LR: 5.255e-04 P_Replacement: 0.009260999999999998 + +2023-08-10 06:56:50,646 - train: [ INFO] - Train: 42 [ 40/41 (100%)] Loss: 2.618320 (2.4109) Acc@1: 42.5000 (43.8821) Acc@5: 85.8333 (82.2561) Time: 0.693s, 173.14/s LR: 5.255e-04 P_Replacement: 0.009921473005324937 + +2023-08-10 06:56:53,305 - train: [ INFO] - Test: [ 0/16] Time: 1.607 (1.607) Loss: 3.0332 (3.0332) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 38.3333 (38.3333) + +2023-08-10 06:56:56,509 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.283) Loss: 2.8229 (3.0526) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (12.7000)Acc@5: 45.0000 (39.7500) + +2023-08-10 06:57:00,397 - train: [ INFO] - Train: 43 [ 0/41 ( 0%)] Loss: 2.496839 (2.4968) Acc@1: 42.5000 (42.5000) Acc@5: 80.0000 (80.0000) Time: 3.074s, 39.04/s LR: 5.227e-04 P_Replacement: 0.009938375 + +2023-08-10 06:57:25,738 - train: [ INFO] - Train: 43 [ 40/41 (100%)] Loss: 2.219995 (2.3917) Acc@1: 50.8333 (44.6545) Acc@5: 88.3333 (82.8659) Time: 0.693s, 173.16/s LR: 5.227e-04 P_Replacement: 0.010630302496699119 + +2023-08-10 06:57:28,273 - train: [ INFO] - Test: [ 0/16] Time: 1.642 (1.642) Loss: 2.9637 (2.9637) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 40.8333 (40.8333) + +2023-08-10 06:57:31,471 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.285) Loss: 3.1885 (3.0834) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (11.2500)Acc@5: 33.7500 (41.0000) + +2023-08-10 06:57:35,907 - train: [ INFO] - Train: 44 [ 0/41 ( 0%)] Loss: 2.155072 (2.1551) Acc@1: 54.1667 (54.1667) Acc@5: 85.0000 (85.0000) Time: 3.068s, 39.11/s LR: 5.199e-04 P_Replacement: 0.010648 + +2023-08-10 06:58:01,301 - train: [ INFO] - Train: 44 [ 40/41 (100%)] Loss: 2.353354 (2.3425) Acc@1: 43.3333 (47.5610) Acc@5: 84.1667 (84.7358) Time: 0.694s, 172.87/s LR: 5.199e-04 P_Replacement: 0.011372113695390375 + +2023-08-10 06:58:03,643 - train: [ INFO] - Test: [ 0/16] Time: 1.634 (1.634) Loss: 3.2017 (3.2017) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 32.5000 (32.5000) + +2023-08-10 06:58:06,860 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.285) Loss: 3.1355 (3.2461) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 8.2000)Acc@5: 36.2500 (34.0000) + +2023-08-10 06:58:10,705 - train: [ INFO] - Train: 45 [ 0/41 ( 0%)] Loss: 2.189769 (2.1898) Acc@1: 50.8333 (50.8333) Acc@5: 85.0000 (85.0000) Time: 3.037s, 39.51/s LR: 5.169e-04 P_Replacement: 0.011390625000000001 + +2023-08-10 06:58:36,131 - train: [ INFO] - Train: 45 [ 40/41 (100%)] Loss: 2.553907 (2.3189) Acc@1: 42.5000 (47.1341) Acc@5: 80.8333 (84.3902) Time: 0.694s, 172.87/s LR: 5.169e-04 P_Replacement: 0.012147656601398705 + +2023-08-10 06:58:38,884 - train: [ INFO] - Test: [ 0/16] Time: 1.592 (1.592) Loss: 2.9791 (2.9791) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 42.5000 (42.5000) + +2023-08-10 06:58:42,072 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.281) Loss: 3.1085 (3.0160) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.9500)Acc@5: 40.0000 (43.4000) + +2023-08-10 06:58:45,965 - train: [ INFO] - Train: 46 [ 0/41 ( 0%)] Loss: 2.187651 (2.1877) Acc@1: 52.5000 (52.5000) Acc@5: 87.5000 (87.5000) Time: 3.093s, 38.80/s LR: 5.140e-04 P_Replacement: 0.012167 + +2023-08-10 06:59:11,399 - train: [ INFO] - Train: 46 [ 40/41 (100%)] Loss: 2.220947 (2.2925) Acc@1: 51.6667 (48.9431) Acc@5: 86.6667 (85.6098) Time: 0.696s, 172.48/s LR: 5.140e-04 P_Replacement: 0.012957681214724102 + +2023-08-10 06:59:13,687 - train: [ INFO] - Test: [ 0/16] Time: 1.546 (1.546) Loss: 3.2646 (3.2646) cLoss: 0.0000 (0.0000) Acc@1: 5.8333 ( 5.8333)Acc@5: 40.8333 (40.8333) + +2023-08-10 06:59:16,894 - train: [ INFO] - Test: [ 16/16] Time: 0.144 (0.280) Loss: 3.2309 (3.3280) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 ( 9.3500)Acc@5: 40.0000 (37.7500) + +2023-08-10 06:59:20,782 - train: [ INFO] - Train: 47 [ 0/41 ( 0%)] Loss: 2.069659 (2.0697) Acc@1: 60.0000 (60.0000) Acc@5: 91.6667 (91.6667) Time: 3.062s, 39.20/s LR: 5.110e-04 P_Replacement: 0.012977874999999998 + +2023-08-10 06:59:46,180 - train: [ INFO] - Train: 47 [ 40/41 (100%)] Loss: 2.344680 (2.2679) Acc@1: 48.3333 (50.7114) Acc@5: 83.3333 (86.1585) Time: 0.694s, 172.89/s LR: 5.110e-04 P_Replacement: 0.013802937535366577 + +2023-08-10 06:59:49,008 - train: [ INFO] - Test: [ 0/16] Time: 1.605 (1.605) Loss: 3.1706 (3.1706) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 45.8333 (45.8333) + +2023-08-10 06:59:52,223 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.284) Loss: 3.0426 (3.1483) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (11.1000)Acc@5: 42.5000 (41.5500) + +2023-08-10 06:59:56,197 - train: [ INFO] - Train: 48 [ 0/41 ( 0%)] Loss: 2.137329 (2.1373) Acc@1: 51.6667 (51.6667) Acc@5: 86.6667 (86.6667) Time: 3.152s, 38.07/s LR: 5.079e-04 P_Replacement: 0.013823999999999998 + +2023-08-10 07:00:21,576 - train: [ INFO] - Train: 48 [ 40/41 (100%)] Loss: 2.236532 (2.2591) Acc@1: 51.6667 (51.2398) Acc@5: 89.1667 (86.8293) Time: 0.696s, 172.45/s LR: 5.079e-04 P_Replacement: 0.014684175563326126 + +2023-08-10 07:00:24,311 - train: [ INFO] - Test: [ 0/16] Time: 1.590 (1.590) Loss: 3.1518 (3.1518) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 38.3333 (38.3333) + +2023-08-10 07:00:27,513 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.282) Loss: 3.4144 (3.1198) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 9.7500)Acc@5: 30.0000 (39.0000) + +2023-08-10 07:00:31,376 - train: [ INFO] - Train: 49 [ 0/41 ( 0%)] Loss: 2.207508 (2.2075) Acc@1: 50.8333 (50.8333) Acc@5: 85.8333 (85.8333) Time: 3.049s, 39.35/s LR: 5.048e-04 P_Replacement: 0.014706124999999999 + +2023-08-10 07:00:56,910 - train: [ INFO] - Train: 49 [ 40/41 (100%)] Loss: 2.160762 (2.1936) Acc@1: 51.6667 (51.3008) Acc@5: 85.8333 (88.0488) Time: 0.697s, 172.14/s LR: 5.048e-04 P_Replacement: 0.015602145298602748 + +2023-08-10 07:00:59,509 - train: [ INFO] - Test: [ 0/16] Time: 1.591 (1.591) Loss: 3.1959 (3.1959) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 36.6667 (36.6667) + +2023-08-10 07:01:02,736 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.283) Loss: 2.8863 (3.0596) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (11.8000)Acc@5: 43.7500 (40.7500) + +2023-08-10 07:01:07,178 - train: [ INFO] - Train: 50 [ 0/41 ( 0%)] Loss: 2.292427 (2.2924) Acc@1: 51.6667 (51.6667) Acc@5: 87.5000 (87.5000) Time: 3.132s, 38.31/s LR: 5.016e-04 P_Replacement: 0.015625 + +2023-08-10 07:01:32,699 - train: [ INFO] - Train: 50 [ 40/41 (100%)] Loss: 2.213649 (2.1823) Acc@1: 50.0000 (51.7683) Acc@5: 86.6667 (87.9065) Time: 0.699s, 171.72/s LR: 5.016e-04 P_Replacement: 0.016557596741196442 + +2023-08-10 07:01:35,455 - train: [ INFO] - Test: [ 0/16] Time: 1.641 (1.641) Loss: 2.8946 (2.8946) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 50.0000 (50.0000) + +2023-08-10 07:01:38,670 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.286) Loss: 3.1060 (3.0703) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.3000)Acc@5: 43.7500 (44.8000) + +2023-08-10 07:01:42,577 - train: [ INFO] - Train: 51 [ 0/41 ( 0%)] Loss: 1.964434 (1.9644) Acc@1: 60.0000 (60.0000) Acc@5: 89.1667 (89.1667) Time: 3.052s, 39.31/s LR: 4.984e-04 P_Replacement: 0.016581375000000002 + +2023-08-10 07:02:08,167 - train: [ INFO] - Train: 51 [ 40/41 (100%)] Loss: 2.156756 (2.1692) Acc@1: 47.5000 (52.9065) Acc@5: 86.6667 (88.2317) Time: 0.699s, 171.78/s LR: 4.984e-04 P_Replacement: 0.017551279891107212 + +2023-08-10 07:02:10,587 - train: [ INFO] - Test: [ 0/16] Time: 1.577 (1.577) Loss: 3.0789 (3.0789) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 39.1667 (39.1667) + +2023-08-10 07:02:13,808 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.282) Loss: 3.0031 (3.0471) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (11.4000)Acc@5: 40.0000 (41.9500) + +2023-08-10 07:02:18,319 - train: [ INFO] - Train: 52 [ 0/41 ( 0%)] Loss: 1.823406 (1.8234) Acc@1: 60.0000 (60.0000) Acc@5: 96.6667 (96.6667) Time: 3.187s, 37.65/s LR: 4.951e-04 P_Replacement: 0.017576 + +2023-08-10 07:02:43,837 - train: [ INFO] - Train: 52 [ 40/41 (100%)] Loss: 2.167696 (2.1301) Acc@1: 56.6667 (54.8171) Acc@5: 89.1667 (89.8171) Time: 0.700s, 171.42/s LR: 4.951e-04 P_Replacement: 0.01858394474833505 + +2023-08-10 07:02:46,248 - train: [ INFO] - Test: [ 0/16] Time: 1.592 (1.592) Loss: 3.1756 (3.1756) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 39.1667 (39.1667) + +2023-08-10 07:02:49,463 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.283) Loss: 3.0565 (3.0587) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (14.0500)Acc@5: 35.0000 (42.0500) + +2023-08-10 07:02:53,458 - train: [ INFO] - Train: 53 [ 0/41 ( 0%)] Loss: 2.329280 (2.3293) Acc@1: 42.5000 (42.5000) Acc@5: 85.8333 (85.8333) Time: 3.110s, 38.58/s LR: 4.918e-04 P_Replacement: 0.018609625 + +2023-08-10 07:03:19,006 - train: [ INFO] - Train: 53 [ 40/41 (100%)] Loss: 2.125288 (2.0918) Acc@1: 50.0000 (55.2642) Acc@5: 89.1667 (90.5894) Time: 0.699s, 171.69/s LR: 4.918e-04 P_Replacement: 0.01965634131287997 + +2023-08-10 07:03:21,376 - train: [ INFO] - Test: [ 0/16] Time: 1.556 (1.556) Loss: 3.0445 (3.0445) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 41.6667 (41.6667) + +2023-08-10 07:03:24,565 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.279) Loss: 3.0912 (3.1006) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (12.6500)Acc@5: 46.2500 (42.9500) + +2023-08-10 07:03:28,551 - train: [ INFO] - Train: 54 [ 0/41 ( 0%)] Loss: 1.881720 (1.8817) Acc@1: 61.6667 (61.6667) Acc@5: 93.3333 (93.3333) Time: 3.125s, 38.40/s LR: 4.884e-04 P_Replacement: 0.019683000000000003 + +2023-08-10 07:03:54,078 - train: [ INFO] - Train: 54 [ 40/41 (100%)] Loss: 2.012095 (2.0633) Acc@1: 56.6667 (58.4350) Acc@5: 94.1667 (90.7317) Time: 0.699s, 171.73/s LR: 4.884e-04 P_Replacement: 0.020769219584741955 + +2023-08-10 07:03:56,584 - train: [ INFO] - Test: [ 0/16] Time: 1.621 (1.621) Loss: 3.0143 (3.0143) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 45.0000 (45.0000) + +2023-08-10 07:03:59,758 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.282) Loss: 3.1952 (2.9542) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.8500)Acc@5: 40.0000 (47.0000) + +2023-08-10 07:04:03,771 - train: [ INFO] - Train: 55 [ 0/41 ( 0%)] Loss: 1.781953 (1.7820) Acc@1: 67.5000 (67.5000) Acc@5: 93.3333 (93.3333) Time: 3.148s, 38.12/s LR: 4.850e-04 P_Replacement: 0.020796875000000006 + +2023-08-10 07:04:29,371 - train: [ INFO] - Train: 55 [ 40/41 (100%)] Loss: 2.127837 (2.0248) Acc@1: 53.3333 (58.8008) Acc@5: 88.3333 (90.7114) Time: 0.701s, 171.16/s LR: 4.850e-04 P_Replacement: 0.021923329563921016 + +2023-08-10 07:04:31,932 - train: [ INFO] - Test: [ 0/16] Time: 1.599 (1.599) Loss: 3.2542 (3.2542) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 39.1667 (39.1667) + +2023-08-10 07:04:35,139 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.283) Loss: 3.3693 (3.2265) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.2000)Acc@5: 36.2500 (42.4000) + +2023-08-10 07:04:39,093 - train: [ INFO] - Train: 56 [ 0/41 ( 0%)] Loss: 1.946712 (1.9467) Acc@1: 62.5000 (62.5000) Acc@5: 96.6667 (96.6667) Time: 3.115s, 38.52/s LR: 4.815e-04 P_Replacement: 0.021952000000000006 + +2023-08-10 07:05:04,814 - train: [ INFO] - Train: 56 [ 40/41 (100%)] Loss: 1.930472 (1.9985) Acc@1: 60.8333 (60.6301) Acc@5: 95.0000 (91.8089) Time: 0.703s, 170.64/s LR: 4.815e-04 P_Replacement: 0.02311942125041714 + +2023-08-10 07:05:07,628 - train: [ INFO] - Test: [ 0/16] Time: 1.606 (1.606) Loss: 3.0233 (3.0233) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 47.5000 (47.5000) + +2023-08-10 07:05:10,850 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.284) Loss: 3.3478 (3.0007) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (14.0500)Acc@5: 32.5000 (45.5500) + +2023-08-10 07:05:14,778 - train: [ INFO] - Train: 57 [ 0/41 ( 0%)] Loss: 1.827681 (1.8277) Acc@1: 58.3333 (58.3333) Acc@5: 93.3333 (93.3333) Time: 3.087s, 38.88/s LR: 4.780e-04 P_Replacement: 0.023149124999999993 + +2023-08-10 07:05:40,400 - train: [ INFO] - Train: 57 [ 40/41 (100%)] Loss: 2.034243 (1.9794) Acc@1: 52.5000 (61.4431) Acc@5: 90.8333 (91.8902) Time: 0.700s, 171.39/s LR: 4.780e-04 P_Replacement: 0.024358244644230347 + +2023-08-10 07:05:42,776 - train: [ INFO] - Test: [ 0/16] Time: 1.586 (1.586) Loss: 3.2504 (3.2504) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 45.0000 (45.0000) + +2023-08-10 07:05:45,972 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.281) Loss: 3.1749 (3.1585) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (12.3500)Acc@5: 41.2500 (40.3000) + +2023-08-10 07:05:50,454 - train: [ INFO] - Train: 58 [ 0/41 ( 0%)] Loss: 1.849814 (1.8498) Acc@1: 65.8333 (65.8333) Acc@5: 94.1667 (94.1667) Time: 3.132s, 38.32/s LR: 4.745e-04 P_Replacement: 0.024388999999999994 + +2023-08-10 07:06:16,121 - train: [ INFO] - Train: 58 [ 40/41 (100%)] Loss: 2.010899 (1.9235) Acc@1: 63.3333 (63.0488) Acc@5: 97.5000 (93.2927) Time: 0.702s, 170.85/s LR: 4.745e-04 P_Replacement: 0.025640549745360626 + +2023-08-10 07:06:18,588 - train: [ INFO] - Test: [ 0/16] Time: 1.664 (1.664) Loss: 3.2237 (3.2237) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 47.5000 (47.5000) + +2023-08-10 07:06:21,748 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.284) Loss: 3.0659 (3.2844) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (11.1500)Acc@5: 50.0000 (40.2500) + +2023-08-10 07:06:26,219 - train: [ INFO] - Train: 59 [ 0/41 ( 0%)] Loss: 1.771283 (1.7713) Acc@1: 71.6667 (71.6667) Acc@5: 96.6667 (96.6667) Time: 3.122s, 38.44/s LR: 4.709e-04 P_Replacement: 0.025672374999999997 + +2023-08-10 07:06:51,863 - train: [ INFO] - Train: 59 [ 40/41 (100%)] Loss: 2.057187 (1.9116) Acc@1: 58.3333 (63.9431) Acc@5: 90.0000 (93.2724) Time: 0.702s, 171.05/s LR: 4.709e-04 P_Replacement: 0.02696708655380798 + +2023-08-10 07:06:54,455 - train: [ INFO] - Test: [ 0/16] Time: 1.627 (1.627) Loss: 3.1615 (3.1615) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 40.8333 (40.8333) + +2023-08-10 07:06:57,644 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.283) Loss: 3.2499 (3.0688) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.1500)Acc@5: 37.5000 (43.6000) + +2023-08-10 07:07:01,877 - train: [ INFO] - Train: 60 [ 0/41 ( 0%)] Loss: 1.707684 (1.7077) Acc@1: 71.6667 (71.6667) Acc@5: 95.8333 (95.8333) Time: 3.127s, 38.38/s LR: 4.672e-04 P_Replacement: 0.026999999999999996 + +2023-08-10 07:07:27,410 - train: [ INFO] - Train: 60 [ 40/41 (100%)] Loss: 1.965647 (1.8731) Acc@1: 65.8333 (65.9756) Acc@5: 94.1667 (94.1463) Time: 0.699s, 171.68/s LR: 4.672e-04 P_Replacement: 0.028338605069572406 + +2023-08-10 07:07:30,011 - train: [ INFO] - Test: [ 0/16] Time: 1.671 (1.671) Loss: 3.3233 (3.3233) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 37.5000 (37.5000) + +2023-08-10 07:07:33,199 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.286) Loss: 3.3799 (3.3776) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (11.9000)Acc@5: 38.7500 (41.4000) + +2023-08-10 07:07:37,709 - train: [ INFO] - Train: 61 [ 0/41 ( 0%)] Loss: 1.793778 (1.7938) Acc@1: 59.1667 (59.1667) Acc@5: 93.3333 (93.3333) Time: 3.184s, 37.68/s LR: 4.636e-04 P_Replacement: 0.028372625 + +2023-08-10 07:08:03,265 - train: [ INFO] - Train: 61 [ 40/41 (100%)] Loss: 1.795658 (1.8589) Acc@1: 65.8333 (66.9512) Acc@5: 95.0000 (94.2480) Time: 0.701s, 171.20/s LR: 4.636e-04 P_Replacement: 0.029755855292653906 + +2023-08-10 07:08:05,855 - train: [ INFO] - Test: [ 0/16] Time: 1.700 (1.700) Loss: 3.0458 (3.0458) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 45.8333 (45.8333) + +2023-08-10 07:08:09,047 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.288) Loss: 2.9691 (3.0019) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.1000)Acc@5: 42.5000 (45.1500) + +2023-08-10 07:08:13,171 - train: [ INFO] - Train: 62 [ 0/41 ( 0%)] Loss: 1.791576 (1.7916) Acc@1: 64.1667 (64.1667) Acc@5: 94.1667 (94.1667) Time: 3.225s, 37.21/s LR: 4.598e-04 P_Replacement: 0.029790999999999998 + +2023-08-10 07:08:38,867 - train: [ INFO] - Train: 62 [ 40/41 (100%)] Loss: 1.762961 (1.8077) Acc@1: 67.5000 (67.9675) Acc@5: 96.6667 (94.7155) Time: 0.705s, 170.13/s LR: 4.598e-04 P_Replacement: 0.03121958722305248 + +2023-08-10 07:08:41,416 - train: [ INFO] - Test: [ 0/16] Time: 1.721 (1.721) Loss: 3.1839 (3.1839) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 45.0000 (45.0000) + +2023-08-10 07:08:44,604 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.289) Loss: 3.0792 (3.1179) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.2500)Acc@5: 47.5000 (44.9000) + +2023-08-10 07:08:49,004 - train: [ INFO] - Train: 63 [ 0/41 ( 0%)] Loss: 1.734858 (1.7349) Acc@1: 73.3333 (73.3333) Acc@5: 97.5000 (97.5000) Time: 3.097s, 38.75/s LR: 4.561e-04 P_Replacement: 0.031255875 + +2023-08-10 07:09:14,577 - train: [ INFO] - Train: 63 [ 40/41 (100%)] Loss: 1.819535 (1.7690) Acc@1: 64.1667 (69.1057) Acc@5: 94.1667 (95.3455) Time: 0.699s, 171.63/s LR: 4.561e-04 P_Replacement: 0.03273055086076813 + +2023-08-10 07:09:17,069 - train: [ INFO] - Test: [ 0/16] Time: 1.650 (1.650) Loss: 3.1869 (3.1869) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 41.6667 (41.6667) + +2023-08-10 07:09:20,263 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.285) Loss: 3.2547 (3.2598) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (11.3500)Acc@5: 50.0000 (42.5000) + +2023-08-10 07:09:24,711 - train: [ INFO] - Train: 64 [ 0/41 ( 0%)] Loss: 1.753178 (1.7532) Acc@1: 73.3333 (73.3333) Acc@5: 99.1667 (99.1667) Time: 3.086s, 38.88/s LR: 4.523e-04 P_Replacement: 0.032768000000000005 + +2023-08-10 07:09:50,282 - train: [ INFO] - Train: 64 [ 40/41 (100%)] Loss: 1.807988 (1.7605) Acc@1: 74.1667 (71.5041) Acc@5: 94.1667 (95.9146) Time: 0.699s, 171.70/s LR: 4.523e-04 P_Replacement: 0.03428949620580085 + +2023-08-10 07:09:52,764 - train: [ INFO] - Test: [ 0/16] Time: 1.656 (1.656) Loss: 3.0327 (3.0327) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 53.3333 (53.3333) + +2023-08-10 07:09:55,968 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.286) Loss: 2.8957 (3.1496) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (13.9500)Acc@5: 45.0000 (45.4000) + +2023-08-10 07:10:00,459 - train: [ INFO] - Train: 65 [ 0/41 ( 0%)] Loss: 1.687003 (1.6870) Acc@1: 78.3333 (78.3333) Acc@5: 96.6667 (96.6667) Time: 3.134s, 38.28/s LR: 4.484e-04 P_Replacement: 0.034328125 + +2023-08-10 07:10:26,098 - train: [ INFO] - Train: 65 [ 40/41 (100%)] Loss: 1.741212 (1.7129) Acc@1: 70.8333 (72.4187) Acc@5: 97.5000 (96.2195) Time: 0.702s, 171.00/s LR: 4.484e-04 P_Replacement: 0.035897173258150644 + +2023-08-10 07:10:28,550 - train: [ INFO] - Test: [ 0/16] Time: 1.597 (1.597) Loss: 3.5075 (3.5075) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 28.3333 (28.3333) + +2023-08-10 07:10:31,762 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.283) Loss: 3.2049 (3.4054) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (10.5500)Acc@5: 36.2500 (37.6500) + +2023-08-10 07:10:35,737 - train: [ INFO] - Train: 66 [ 0/41 ( 0%)] Loss: 1.474866 (1.4749) Acc@1: 80.8333 (80.8333) Acc@5: 100.0000 (100.0000) Time: 3.153s, 38.06/s LR: 4.446e-04 P_Replacement: 0.035937000000000004 + +2023-08-10 07:11:01,207 - train: [ INFO] - Train: 66 [ 40/41 (100%)] Loss: 1.601677 (1.6591) Acc@1: 73.3333 (73.6992) Acc@5: 96.6667 (96.8496) Time: 0.698s, 171.90/s LR: 4.446e-04 P_Replacement: 0.03755433201781751 + +2023-08-10 07:11:03,632 - train: [ INFO] - Test: [ 0/16] Time: 1.653 (1.653) Loss: 3.6560 (3.6560) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 41.6667 (41.6667) + +2023-08-10 07:11:06,808 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.284) Loss: 4.0695 (3.6734) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 ( 9.8000)Acc@5: 36.2500 (42.4000) + +2023-08-10 07:11:10,754 - train: [ INFO] - Train: 67 [ 0/41 ( 0%)] Loss: 1.371853 (1.3719) Acc@1: 75.0000 (75.0000) Acc@5: 99.1667 (99.1667) Time: 3.057s, 39.26/s LR: 4.406e-04 P_Replacement: 0.03759537500000001 + +2023-08-10 07:11:36,368 - train: [ INFO] - Train: 67 [ 40/41 (100%)] Loss: 1.946554 (1.6388) Acc@1: 67.5000 (75.7724) Acc@5: 92.5000 (96.9512) Time: 0.699s, 171.61/s LR: 4.406e-04 P_Replacement: 0.03926172248480145 + +2023-08-10 07:11:38,920 - train: [ INFO] - Test: [ 0/16] Time: 1.600 (1.600) Loss: 3.4145 (3.4145) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 41.6667 (41.6667) + +2023-08-10 07:11:42,092 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.281) Loss: 3.4885 (3.2587) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (12.0500)Acc@5: 40.0000 (44.4000) + +2023-08-10 07:11:46,098 - train: [ INFO] - Train: 68 [ 0/41 ( 0%)] Loss: 1.400319 (1.4003) Acc@1: 78.3333 (78.3333) Acc@5: 95.0000 (95.0000) Time: 3.124s, 38.41/s LR: 4.367e-04 P_Replacement: 0.039304000000000006 + +2023-08-10 07:12:11,691 - train: [ INFO] - Train: 68 [ 40/41 (100%)] Loss: 1.695489 (1.6306) Acc@1: 80.0000 (76.3618) Acc@5: 96.6667 (96.8699) Time: 0.700s, 171.34/s LR: 4.367e-04 P_Replacement: 0.04102009465910244 + +2023-08-10 07:12:14,130 - train: [ INFO] - Test: [ 0/16] Time: 1.584 (1.584) Loss: 3.0126 (3.0126) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 55.0000 (55.0000) + +2023-08-10 07:12:17,314 - train: [ INFO] - Test: [ 16/16] Time: 0.145 (0.280) Loss: 3.1144 (3.0558) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (15.9000)Acc@5: 43.7500 (49.1000) + +2023-08-10 07:12:18,584 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-68.pth.tar', 15.900000648498535) + +2023-08-10 07:12:21,712 - train: [ INFO] - Train: 69 [ 0/41 ( 0%)] Loss: 1.427362 (1.4274) Acc@1: 83.3333 (83.3333) Acc@5: 97.5000 (97.5000) Time: 3.106s, 38.63/s LR: 4.327e-04 P_Replacement: 0.04106362499999999 + +2023-08-10 07:12:47,364 - train: [ INFO] - Train: 69 [ 40/41 (100%)] Loss: 1.851964 (1.6046) Acc@1: 75.0000 (77.5407) Acc@5: 95.8333 (97.3374) Time: 0.701s, 171.09/s LR: 4.327e-04 P_Replacement: 0.042830198540720524 + +2023-08-10 07:12:49,754 - train: [ INFO] - Test: [ 0/16] Time: 1.639 (1.639) Loss: 3.4227 (3.4227) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 39.1667 (39.1667) + +2023-08-10 07:12:52,926 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.283) Loss: 3.4805 (3.2299) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.1000)Acc@5: 40.0000 (44.3500) + +2023-08-10 07:12:56,902 - train: [ INFO] - Train: 70 [ 0/41 ( 0%)] Loss: 1.523322 (1.5233) Acc@1: 78.3333 (78.3333) Acc@5: 99.1667 (99.1667) Time: 3.135s, 38.27/s LR: 4.287e-04 P_Replacement: 0.04287499999999999 + +2023-08-10 07:13:22,444 - train: [ INFO] - Train: 70 [ 40/41 (100%)] Loss: 1.491275 (1.5447) Acc@1: 82.5000 (78.9431) Acc@5: 95.8333 (97.8862) Time: 0.699s, 171.57/s LR: 4.287e-04 P_Replacement: 0.04469278412965569 + +2023-08-10 07:13:25,121 - train: [ INFO] - Test: [ 0/16] Time: 1.616 (1.616) Loss: 3.1010 (3.1010) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 43.3333 (43.3333) + +2023-08-10 07:13:28,255 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.279) Loss: 3.1220 (3.1533) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (14.3000)Acc@5: 43.7500 (44.7500) + +2023-08-10 07:13:32,637 - train: [ INFO] - Train: 71 [ 0/41 ( 0%)] Loss: 1.476123 (1.4761) Acc@1: 83.3333 (83.3333) Acc@5: 100.0000 (100.0000) Time: 3.096s, 38.76/s LR: 4.247e-04 P_Replacement: 0.04473887499999999 + +2023-08-10 07:13:58,334 - train: [ INFO] - Train: 71 [ 40/41 (100%)] Loss: 1.412029 (1.5377) Acc@1: 80.8333 (80.4878) Acc@5: 99.1667 (98.3740) Time: 0.702s, 170.89/s LR: 4.247e-04 P_Replacement: 0.04660860142590792 + +2023-08-10 07:14:00,858 - train: [ INFO] - Test: [ 0/16] Time: 1.616 (1.616) Loss: 3.7136 (3.7136) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 37.5000 (37.5000) + +2023-08-10 07:14:03,967 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.278) Loss: 3.9303 (3.5961) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 (10.4000)Acc@5: 32.5000 (41.2500) + +2023-08-10 07:14:07,976 - train: [ INFO] - Train: 72 [ 0/41 ( 0%)] Loss: 1.456702 (1.4567) Acc@1: 88.3333 (88.3333) Acc@5: 95.8333 (95.8333) Time: 3.141s, 38.20/s LR: 4.206e-04 P_Replacement: 0.046655999999999996 + +2023-08-10 07:14:33,618 - train: [ INFO] - Train: 72 [ 40/41 (100%)] Loss: 1.381310 (1.4903) Acc@1: 80.0000 (81.3211) Acc@5: 99.1667 (98.4146) Time: 0.702s, 170.94/s LR: 4.206e-04 P_Replacement: 0.048578400429477225 + +2023-08-10 07:14:36,306 - train: [ INFO] - Test: [ 0/16] Time: 1.586 (1.586) Loss: 3.2366 (3.2366) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 45.8333 (45.8333) + +2023-08-10 07:14:39,430 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.277) Loss: 3.4075 (3.3656) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (13.2000)Acc@5: 47.5000 (45.0000) + +2023-08-10 07:14:43,356 - train: [ INFO] - Train: 73 [ 0/41 ( 0%)] Loss: 1.570652 (1.5707) Acc@1: 80.8333 (80.8333) Acc@5: 98.3333 (98.3333) Time: 3.052s, 39.32/s LR: 4.165e-04 P_Replacement: 0.04862712499999999 + +2023-08-10 07:15:08,963 - train: [ INFO] - Train: 73 [ 40/41 (100%)] Loss: 1.341818 (1.4951) Acc@1: 83.3333 (82.0122) Acc@5: 99.1667 (98.5163) Time: 0.699s, 171.69/s LR: 4.165e-04 P_Replacement: 0.0506029311403636 + +2023-08-10 07:15:11,706 - train: [ INFO] - Test: [ 0/16] Time: 1.670 (1.670) Loss: 3.3590 (3.3590) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 41.6667 (41.6667) + +2023-08-10 07:15:14,829 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.282) Loss: 3.1462 (3.2876) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (14.6500)Acc@5: 46.2500 (44.9500) + +2023-08-10 07:15:18,879 - train: [ INFO] - Train: 74 [ 0/41 ( 0%)] Loss: 1.421184 (1.4212) Acc@1: 84.1667 (84.1667) Acc@5: 100.0000 (100.0000) Time: 3.156s, 38.02/s LR: 4.123e-04 P_Replacement: 0.050653 + +2023-08-10 07:15:44,556 - train: [ INFO] - Train: 74 [ 40/41 (100%)] Loss: 1.396267 (1.4391) Acc@1: 88.3333 (82.8252) Acc@5: 99.1667 (98.8415) Time: 0.703s, 170.66/s LR: 4.123e-04 P_Replacement: 0.05268294355856706 + +2023-08-10 07:15:47,127 - train: [ INFO] - Test: [ 0/16] Time: 1.676 (1.676) Loss: 3.3920 (3.3920) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 40.0000 (40.0000) + +2023-08-10 07:15:50,238 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.282) Loss: 3.4049 (3.2884) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (14.3500)Acc@5: 46.2500 (45.5500) + +2023-08-10 07:15:54,791 - train: [ INFO] - Train: 75 [ 0/41 ( 0%)] Loss: 1.520913 (1.5209) Acc@1: 83.3333 (83.3333) Acc@5: 100.0000 (100.0000) Time: 3.257s, 36.84/s LR: 4.082e-04 P_Replacement: 0.052734375 + +2023-08-10 07:16:20,387 - train: [ INFO] - Train: 75 [ 40/41 (100%)] Loss: 1.368644 (1.4137) Acc@1: 89.1667 (84.4309) Acc@5: 100.0000 (98.9431) Time: 0.704s, 170.53/s LR: 4.082e-04 P_Replacement: 0.054819187684087584 + +2023-08-10 07:16:22,883 - train: [ INFO] - Test: [ 0/16] Time: 1.609 (1.609) Loss: 3.3716 (3.3716) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 52.5000 (52.5000) + +2023-08-10 07:16:25,994 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.278) Loss: 3.5102 (3.5406) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5500)Acc@5: 41.2500 (44.2500) + +2023-08-10 07:16:30,001 - train: [ INFO] - Train: 76 [ 0/41 ( 0%)] Loss: 1.528990 (1.5290) Acc@1: 90.0000 (90.0000) Acc@5: 98.3333 (98.3333) Time: 3.112s, 38.56/s LR: 4.040e-04 P_Replacement: 0.054872000000000004 + +2023-08-10 07:16:55,598 - train: [ INFO] - Train: 76 [ 40/41 (100%)] Loss: 1.476673 (1.4016) Acc@1: 87.5000 (85.2846) Acc@5: 100.0000 (99.1667) Time: 0.700s, 171.39/s LR: 4.040e-04 P_Replacement: 0.05701241351692518 + +2023-08-10 07:16:58,058 - train: [ INFO] - Test: [ 0/16] Time: 1.667 (1.667) Loss: 3.4924 (3.4924) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 46.6667 (46.6667) + +2023-08-10 07:17:01,204 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.283) Loss: 3.3187 (3.5991) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (11.8000)Acc@5: 46.2500 (43.5000) + +2023-08-10 07:17:05,702 - train: [ INFO] - Train: 77 [ 0/41 ( 0%)] Loss: 1.198833 (1.1988) Acc@1: 90.8333 (90.8333) Acc@5: 100.0000 (100.0000) Time: 3.199s, 37.52/s LR: 3.998e-04 P_Replacement: 0.057066625 + +2023-08-10 07:17:31,262 - train: [ INFO] - Train: 77 [ 40/41 (100%)] Loss: 1.631112 (1.3536) Acc@1: 84.1667 (86.6870) Acc@5: 96.6667 (99.0244) Time: 0.701s, 171.09/s LR: 3.998e-04 P_Replacement: 0.05926337105707985 + +2023-08-10 07:17:34,025 - train: [ INFO] - Test: [ 0/16] Time: 1.638 (1.638) Loss: 3.5475 (3.5475) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 51.6667 (51.6667) + +2023-08-10 07:17:37,178 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.282) Loss: 3.3872 (3.6582) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (12.9500)Acc@5: 45.0000 (45.1500) + +2023-08-10 07:17:41,204 - train: [ INFO] - Train: 78 [ 0/41 ( 0%)] Loss: 1.432682 (1.4327) Acc@1: 88.3333 (88.3333) Acc@5: 100.0000 (100.0000) Time: 3.040s, 39.48/s LR: 3.955e-04 P_Replacement: 0.059319000000000004 + +2023-08-10 07:18:06,783 - train: [ INFO] - Train: 78 [ 40/41 (100%)] Loss: 1.514756 (1.3624) Acc@1: 80.8333 (86.0772) Acc@5: 99.1667 (99.1260) Time: 0.698s, 171.93/s LR: 3.955e-04 P_Replacement: 0.0615728103045516 + +2023-08-10 07:18:09,516 - train: [ INFO] - Test: [ 0/16] Time: 1.631 (1.631) Loss: 3.4084 (3.4084) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 44.1667 (44.1667) + +2023-08-10 07:18:12,669 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.281) Loss: 3.5356 (3.5936) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (12.8000)Acc@5: 45.0000 (42.7500) + +2023-08-10 07:18:16,974 - train: [ INFO] - Train: 79 [ 0/41 ( 0%)] Loss: 1.457404 (1.4574) Acc@1: 90.0000 (90.0000) Acc@5: 100.0000 (100.0000) Time: 3.051s, 39.34/s LR: 3.912e-04 P_Replacement: 0.06162987500000001 + +2023-08-10 07:18:42,661 - train: [ INFO] - Train: 79 [ 40/41 (100%)] Loss: 1.500925 (1.3624) Acc@1: 85.8333 (87.0122) Acc@5: 99.1667 (99.3699) Time: 0.701s, 171.22/s LR: 3.912e-04 P_Replacement: 0.06394148125934042 + +2023-08-10 07:18:45,239 - train: [ INFO] - Test: [ 0/16] Time: 1.676 (1.676) Loss: 3.6556 (3.6556) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 36.6667 (36.6667) + +2023-08-10 07:18:48,402 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.285) Loss: 3.5692 (3.7998) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (10.4000)Acc@5: 46.2500 (40.9500) + +2023-08-10 07:18:52,738 - train: [ INFO] - Train: 80 [ 0/41 ( 0%)] Loss: 1.356763 (1.3568) Acc@1: 85.0000 (85.0000) Acc@5: 99.1667 (99.1667) Time: 3.037s, 39.52/s LR: 3.870e-04 P_Replacement: 0.06400000000000002 + +2023-08-10 07:19:18,359 - train: [ INFO] - Train: 80 [ 40/41 (100%)] Loss: 1.283824 (1.3120) Acc@1: 92.5000 (88.6585) Acc@5: 100.0000 (99.4512) Time: 0.699s, 171.70/s LR: 3.870e-04 P_Replacement: 0.0663701339214463 + +2023-08-10 07:19:21,179 - train: [ INFO] - Test: [ 0/16] Time: 1.634 (1.634) Loss: 4.1446 (4.1446) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 42.5000 (42.5000) + +2023-08-10 07:19:24,359 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.283) Loss: 4.5471 (3.9115) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 (11.2000)Acc@5: 32.5000 (42.2000) + +2023-08-10 07:19:28,305 - train: [ INFO] - Train: 81 [ 0/41 ( 0%)] Loss: 1.267342 (1.2673) Acc@1: 89.1667 (89.1667) Acc@5: 100.0000 (100.0000) Time: 3.095s, 38.77/s LR: 3.826e-04 P_Replacement: 0.066430125 + +2023-08-10 07:19:54,003 - train: [ INFO] - Train: 81 [ 40/41 (100%)] Loss: 1.457608 (1.3123) Acc@1: 90.0000 (88.9837) Acc@5: 98.3333 (99.5529) Time: 0.702s, 170.89/s LR: 3.826e-04 P_Replacement: 0.06885951829086924 + +2023-08-10 07:19:56,775 - train: [ INFO] - Test: [ 0/16] Time: 1.689 (1.689) Loss: 3.4262 (3.4262) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 46.6667 (46.6667) + +2023-08-10 07:19:59,945 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.286) Loss: 3.1980 (3.3429) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (15.1500)Acc@5: 46.2500 (46.3000) + +2023-08-10 07:20:04,002 - train: [ INFO] - Train: 82 [ 0/41 ( 0%)] Loss: 1.311824 (1.3118) Acc@1: 86.6667 (86.6667) Acc@5: 100.0000 (100.0000) Time: 3.186s, 37.67/s LR: 3.783e-04 P_Replacement: 0.06892099999999998 + +2023-08-10 07:20:29,526 - train: [ INFO] - Train: 82 [ 40/41 (100%)] Loss: 1.347882 (1.2604) Acc@1: 93.3333 (90.2642) Acc@5: 99.1667 (99.5935) Time: 0.700s, 171.38/s LR: 3.783e-04 P_Replacement: 0.07141038436760928 + +2023-08-10 07:20:32,212 - train: [ INFO] - Test: [ 0/16] Time: 1.659 (1.659) Loss: 3.6842 (3.6842) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 45.8333 (45.8333) + +2023-08-10 07:20:35,409 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.286) Loss: 3.4409 (3.6989) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (13.8500)Acc@5: 48.7500 (45.6000) + +2023-08-10 07:20:39,496 - train: [ INFO] - Train: 83 [ 0/41 ( 0%)] Loss: 1.174038 (1.1740) Acc@1: 95.0000 (95.0000) Acc@5: 100.0000 (100.0000) Time: 3.197s, 37.53/s LR: 3.740e-04 P_Replacement: 0.07147337499999999 + +2023-08-10 07:21:05,080 - train: [ INFO] - Train: 83 [ 40/41 (100%)] Loss: 1.181194 (1.2236) Acc@1: 90.8333 (91.6057) Acc@5: 99.1667 (99.6342) Time: 0.702s, 170.96/s LR: 3.740e-04 P_Replacement: 0.07402348215166639 + +2023-08-10 07:21:07,991 - train: [ INFO] - Test: [ 0/16] Time: 1.709 (1.709) Loss: 3.4006 (3.4006) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 43.3333 (43.3333) + +2023-08-10 07:21:11,164 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.287) Loss: 3.2437 (3.3633) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (12.8500)Acc@5: 52.5000 (46.4000) + +2023-08-10 07:21:15,216 - train: [ INFO] - Train: 84 [ 0/41 ( 0%)] Loss: 1.109252 (1.1093) Acc@1: 93.3333 (93.3333) Acc@5: 100.0000 (100.0000) Time: 3.174s, 37.80/s LR: 3.696e-04 P_Replacement: 0.07408799999999999 + +2023-08-10 07:21:40,748 - train: [ INFO] - Train: 84 [ 40/41 (100%)] Loss: 1.411282 (1.2249) Acc@1: 91.6667 (91.8699) Acc@5: 99.1667 (99.7155) Time: 0.700s, 171.40/s LR: 3.696e-04 P_Replacement: 0.07669956164304058 + +2023-08-10 07:21:43,493 - train: [ INFO] - Test: [ 0/16] Time: 1.663 (1.663) Loss: 3.8554 (3.8554) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 39.1667 (39.1667) + +2023-08-10 07:21:46,659 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.284) Loss: 3.7820 (3.5924) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (14.9000)Acc@5: 40.0000 (45.8000) + +2023-08-10 07:21:50,767 - train: [ INFO] - Train: 85 [ 0/41 ( 0%)] Loss: 1.198444 (1.1984) Acc@1: 92.5000 (92.5000) Acc@5: 100.0000 (100.0000) Time: 3.197s, 37.54/s LR: 3.652e-04 P_Replacement: 0.07676562499999999 + +2023-08-10 07:22:16,293 - train: [ INFO] - Train: 85 [ 40/41 (100%)] Loss: 1.134753 (1.2227) Acc@1: 96.6667 (92.0325) Acc@5: 100.0000 (99.6748) Time: 0.701s, 171.31/s LR: 3.652e-04 P_Replacement: 0.07943937284173183 + +2023-08-10 07:22:18,886 - train: [ INFO] - Test: [ 0/16] Time: 1.694 (1.694) Loss: 3.9288 (3.9288) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 40.0000 (40.0000) + +2023-08-10 07:22:22,082 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.288) Loss: 3.9332 (3.6441) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (12.9500)Acc@5: 41.2500 (44.1500) + +2023-08-10 07:22:26,122 - train: [ INFO] - Train: 86 [ 0/41 ( 0%)] Loss: 1.074106 (1.0741) Acc@1: 94.1667 (94.1667) Acc@5: 99.1667 (99.1667) Time: 3.192s, 37.59/s LR: 3.608e-04 P_Replacement: 0.079507 + +2023-08-10 07:22:51,694 - train: [ INFO] - Train: 86 [ 40/41 (100%)] Loss: 1.560724 (1.1944) Acc@1: 90.8333 (92.9472) Acc@5: 99.1667 (99.7764) Time: 0.702s, 171.06/s LR: 3.608e-04 P_Replacement: 0.08224366574774017 + +2023-08-10 07:22:54,446 - train: [ INFO] - Test: [ 0/16] Time: 1.655 (1.655) Loss: 3.2116 (3.2116) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 49.1667 (49.1667) + +2023-08-10 07:22:57,633 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.285) Loss: 3.6824 (3.5876) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (13.2500)Acc@5: 46.2500 (46.0500) + +2023-08-10 07:23:02,111 - train: [ INFO] - Train: 87 [ 0/41 ( 0%)] Loss: 1.138892 (1.1389) Acc@1: 93.3333 (93.3333) Acc@5: 100.0000 (100.0000) Time: 3.174s, 37.81/s LR: 3.564e-04 P_Replacement: 0.082312875 + +2023-08-10 07:23:27,859 - train: [ INFO] - Train: 87 [ 40/41 (100%)] Loss: 1.368346 (1.1801) Acc@1: 91.6667 (93.1911) Acc@5: 100.0000 (99.9187) Time: 0.705s, 170.13/s LR: 3.564e-04 P_Replacement: 0.08511319036106557 + +2023-08-10 07:23:30,346 - train: [ INFO] - Test: [ 0/16] Time: 1.725 (1.725) Loss: 4.0144 (4.0144) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 39.1667 (39.1667) + +2023-08-10 07:23:33,530 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.289) Loss: 3.8832 (3.8117) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (13.8500)Acc@5: 45.0000 (47.2000) + +2023-08-10 07:23:37,491 - train: [ INFO] - Train: 88 [ 0/41 ( 0%)] Loss: 1.101572 (1.1016) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 3.066s, 39.14/s LR: 3.519e-04 P_Replacement: 0.085184 + +2023-08-10 07:24:03,110 - train: [ INFO] - Train: 88 [ 40/41 (100%)] Loss: 1.229933 (1.1793) Acc@1: 90.8333 (93.4146) Acc@5: 99.1667 (99.8374) Time: 0.700s, 171.53/s LR: 3.519e-04 P_Replacement: 0.08804869668170805 + +2023-08-10 07:24:05,620 - train: [ INFO] - Test: [ 0/16] Time: 1.632 (1.632) Loss: 3.3468 (3.3468) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 50.8333 (50.8333) + +2023-08-10 07:24:08,830 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.285) Loss: 3.5673 (3.5581) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (13.6000)Acc@5: 46.2500 (44.8000) + +2023-08-10 07:24:12,991 - train: [ INFO] - Train: 89 [ 0/41 ( 0%)] Loss: 0.981782 (0.9818) Acc@1: 95.8333 (95.8333) Acc@5: 100.0000 (100.0000) Time: 3.238s, 37.06/s LR: 3.475e-04 P_Replacement: 0.08812112500000001 + +2023-08-10 07:24:38,606 - train: [ INFO] - Train: 89 [ 40/41 (100%)] Loss: 1.296884 (1.1565) Acc@1: 94.1667 (94.4309) Acc@5: 100.0000 (99.8781) Time: 0.704s, 170.54/s LR: 3.475e-04 P_Replacement: 0.0910509347096676 + +2023-08-10 07:24:41,529 - train: [ INFO] - Test: [ 0/16] Time: 1.736 (1.736) Loss: 3.5697 (3.5697) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 47.5000 (47.5000) + +2023-08-10 07:24:44,728 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.290) Loss: 3.6193 (3.8533) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (13.8500)Acc@5: 42.5000 (44.1000) + +2023-08-10 07:24:48,668 - train: [ INFO] - Train: 90 [ 0/41 ( 0%)] Loss: 1.115947 (1.1159) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.097s, 38.75/s LR: 3.430e-04 P_Replacement: 0.09112500000000001 + +2023-08-10 07:25:14,315 - train: [ INFO] - Train: 90 [ 40/41 (100%)] Loss: 1.297105 (1.1656) Acc@1: 95.8333 (94.8171) Acc@5: 99.1667 (99.9187) Time: 0.701s, 171.18/s LR: 3.430e-04 P_Replacement: 0.09412065444494422 + +2023-08-10 07:25:16,794 - train: [ INFO] - Test: [ 0/16] Time: 1.657 (1.657) Loss: 3.8219 (3.8219) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 45.8333 (45.8333) + +2023-08-10 07:25:19,986 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.285) Loss: 3.9676 (3.8666) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.5500)Acc@5: 41.2500 (44.3000) + +2023-08-10 07:25:23,936 - train: [ INFO] - Train: 91 [ 0/41 ( 0%)] Loss: 1.270007 (1.2700) Acc@1: 95.0000 (95.0000) Acc@5: 100.0000 (100.0000) Time: 3.102s, 38.69/s LR: 3.385e-04 P_Replacement: 0.09419637500000001 + +2023-08-10 07:25:49,544 - train: [ INFO] - Train: 91 [ 40/41 (100%)] Loss: 1.226767 (1.1279) Acc@1: 95.8333 (95.0000) Acc@5: 100.0000 (99.8984) Time: 0.700s, 171.39/s LR: 3.385e-04 P_Replacement: 0.09725860588753792 + +2023-08-10 07:25:52,066 - train: [ INFO] - Test: [ 0/16] Time: 1.645 (1.645) Loss: 3.8140 (3.8140) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 45.8333 (45.8333) + +2023-08-10 07:25:55,283 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.286) Loss: 3.6227 (3.6222) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (13.1500)Acc@5: 45.0000 (46.7500) + +2023-08-10 07:25:59,341 - train: [ INFO] - Train: 92 [ 0/41 ( 0%)] Loss: 1.150207 (1.1502) Acc@1: 96.6667 (96.6667) Acc@5: 99.1667 (99.1667) Time: 3.140s, 38.22/s LR: 3.341e-04 P_Replacement: 0.097336 + +2023-08-10 07:26:24,907 - train: [ INFO] - Train: 92 [ 40/41 (100%)] Loss: 1.057588 (1.1018) Acc@1: 92.5000 (95.3862) Acc@5: 100.0000 (99.8781) Time: 0.700s, 171.41/s LR: 3.341e-04 P_Replacement: 0.10046553903744869 + +2023-08-10 07:26:27,781 - train: [ INFO] - Test: [ 0/16] Time: 1.667 (1.667) Loss: 3.6224 (3.6224) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 46.6667 (46.6667) + +2023-08-10 07:26:30,970 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.286) Loss: 3.4859 (3.8380) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (12.7500)Acc@5: 47.5000 (41.8000) + +2023-08-10 07:26:35,475 - train: [ INFO] - Train: 93 [ 0/41 ( 0%)] Loss: 1.104432 (1.1044) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 3.176s, 37.78/s LR: 3.296e-04 P_Replacement: 0.10054462500000001 + +2023-08-10 07:27:01,208 - train: [ INFO] - Train: 93 [ 40/41 (100%)] Loss: 0.933920 (1.0923) Acc@1: 97.5000 (95.8943) Acc@5: 100.0000 (99.9187) Time: 0.705s, 170.21/s LR: 3.296e-04 P_Replacement: 0.10374220389467649 + +2023-08-10 07:27:03,759 - train: [ INFO] - Test: [ 0/16] Time: 1.659 (1.659) Loss: 4.0562 (4.0562) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 40.8333 (40.8333) + +2023-08-10 07:27:06,965 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.286) Loss: 4.0184 (3.8326) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (12.3500)Acc@5: 41.2500 (42.4000) + +2023-08-10 07:27:11,435 - train: [ INFO] - Train: 94 [ 0/41 ( 0%)] Loss: 1.070425 (1.0704) Acc@1: 95.0000 (95.0000) Acc@5: 100.0000 (100.0000) Time: 3.118s, 38.49/s LR: 3.251e-04 P_Replacement: 0.10382299999999998 + +2023-08-10 07:27:37,073 - train: [ INFO] - Train: 94 [ 40/41 (100%)] Loss: 1.200543 (1.0832) Acc@1: 97.5000 (96.5447) Acc@5: 100.0000 (99.9390) Time: 0.701s, 171.11/s LR: 3.251e-04 P_Replacement: 0.10708935045922141 + +2023-08-10 07:27:39,913 - train: [ INFO] - Test: [ 0/16] Time: 1.683 (1.683) Loss: 3.4982 (3.4982) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 45.0000 (45.0000) + +2023-08-10 07:27:43,105 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.287) Loss: 3.5354 (3.5137) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5500)Acc@5: 48.7500 (45.3500) + +2023-08-10 07:27:47,035 - train: [ INFO] - Train: 95 [ 0/41 ( 0%)] Loss: 1.092873 (1.0929) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.085s, 38.89/s LR: 3.206e-04 P_Replacement: 0.10717187499999999 + +2023-08-10 07:28:12,711 - train: [ INFO] - Train: 95 [ 40/41 (100%)] Loss: 1.002945 (1.0947) Acc@1: 96.6667 (96.3211) Acc@5: 100.0000 (99.9390) Time: 0.701s, 171.08/s LR: 3.206e-04 P_Replacement: 0.1105077287310834 + +2023-08-10 07:28:15,405 - train: [ INFO] - Test: [ 0/16] Time: 1.646 (1.646) Loss: 3.5885 (3.5885) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 51.6667 (51.6667) + +2023-08-10 07:28:18,617 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.286) Loss: 4.0629 (3.7675) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (11.4500)Acc@5: 46.2500 (43.6000) + +2023-08-10 07:28:22,565 - train: [ INFO] - Train: 96 [ 0/41 ( 0%)] Loss: 1.090804 (1.0908) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.101s, 38.70/s LR: 3.161e-04 P_Replacement: 0.11059199999999998 + +2023-08-10 07:28:48,215 - train: [ INFO] - Train: 96 [ 40/41 (100%)] Loss: 1.029419 (1.0923) Acc@1: 97.5000 (96.9309) Acc@5: 100.0000 (99.8984) Time: 0.701s, 171.14/s LR: 3.161e-04 P_Replacement: 0.11399808871026247 + +2023-08-10 07:28:51,031 - train: [ INFO] - Test: [ 0/16] Time: 1.638 (1.638) Loss: 3.5832 (3.5832) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 47.5000 (47.5000) + +2023-08-10 07:28:54,216 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.284) Loss: 4.0093 (3.9433) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (14.1500)Acc@5: 42.5000 (44.6000) + +2023-08-10 07:28:58,189 - train: [ INFO] - Train: 97 [ 0/41 ( 0%)] Loss: 1.099270 (1.0993) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.129s, 38.35/s LR: 3.115e-04 P_Replacement: 0.114084125 + +2023-08-10 07:29:23,830 - train: [ INFO] - Train: 97 [ 40/41 (100%)] Loss: 0.985162 (1.0844) Acc@1: 97.5000 (96.8496) Acc@5: 100.0000 (99.9797) Time: 0.702s, 171.03/s LR: 3.115e-04 P_Replacement: 0.1175611803967586 + +2023-08-10 07:29:26,236 - train: [ INFO] - Test: [ 0/16] Time: 1.627 (1.627) Loss: 3.9392 (3.9392) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 44.1667 (44.1667) + +2023-08-10 07:29:29,435 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.284) Loss: 4.0331 (3.8909) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (13.0500)Acc@5: 40.0000 (45.2500) + +2023-08-10 07:29:33,462 - train: [ INFO] - Train: 98 [ 0/41 ( 0%)] Loss: 1.019234 (1.0192) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.180s, 37.74/s LR: 3.070e-04 P_Replacement: 0.11764899999999999 + +2023-08-10 07:29:59,024 - train: [ INFO] - Train: 98 [ 40/41 (100%)] Loss: 1.128102 (1.0856) Acc@1: 95.8333 (97.2155) Acc@5: 99.1667 (99.8781) Time: 0.701s, 171.19/s LR: 3.070e-04 P_Replacement: 0.12119775379057181 + +2023-08-10 07:30:01,408 - train: [ INFO] - Test: [ 0/16] Time: 1.613 (1.613) Loss: 3.5173 (3.5173) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 57.5000 (57.5000) + +2023-08-10 07:30:04,615 - train: [ INFO] - Test: [ 16/16] Time: 0.144 (0.284) Loss: 3.5699 (3.6048) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (13.5500)Acc@5: 52.5000 (46.6500) + +2023-08-10 07:30:08,684 - train: [ INFO] - Train: 99 [ 0/41 ( 0%)] Loss: 1.065576 (1.0656) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.189s, 37.63/s LR: 3.025e-04 P_Replacement: 0.121287375 + +2023-08-10 07:30:34,262 - train: [ INFO] - Train: 99 [ 40/41 (100%)] Loss: 1.016015 (1.0796) Acc@1: 95.0000 (97.2155) Acc@5: 100.0000 (99.9797) Time: 0.702s, 171.04/s LR: 3.025e-04 P_Replacement: 0.12490855889170209 + +2023-08-10 07:30:36,774 - train: [ INFO] - Test: [ 0/16] Time: 1.658 (1.658) Loss: 3.5317 (3.5317) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 46.6667 (46.6667) + +2023-08-10 07:30:39,968 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.285) Loss: 4.0655 (3.6557) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 (14.2000)Acc@5: 41.2500 (46.6000) + +2023-08-10 07:30:44,404 - train: [ INFO] - Train: 100 [ 0/41 ( 0%)] Loss: 1.018527 (1.0185) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.115s, 38.52/s LR: 2.980e-04 P_Replacement: 0.125 + +2023-08-10 07:31:09,920 - train: [ INFO] - Train: 100 [ 40/41 (100%)] Loss: 1.255008 (1.0652) Acc@1: 95.8333 (97.6626) Acc@5: 100.0000 (99.9390) Time: 0.698s, 171.85/s LR: 2.980e-04 P_Replacement: 0.12869434570014945 + +2023-08-10 07:31:12,781 - train: [ INFO] - Test: [ 0/16] Time: 1.681 (1.681) Loss: 3.9182 (3.9182) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 45.8333 (45.8333) + +2023-08-10 07:31:15,958 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.286) Loss: 4.0620 (3.8456) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (15.0500)Acc@5: 50.0000 (47.8500) + +2023-08-10 07:31:20,457 - train: [ INFO] - Train: 101 [ 0/41 ( 0%)] Loss: 1.188815 (1.1888) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.161s, 37.96/s LR: 2.934e-04 P_Replacement: 0.12878762500000002 + +2023-08-10 07:31:46,038 - train: [ INFO] - Train: 101 [ 40/41 (100%)] Loss: 1.286808 (1.0511) Acc@1: 95.0000 (97.7236) Acc@5: 99.1667 (99.9594) Time: 0.701s, 171.19/s LR: 2.934e-04 P_Replacement: 0.13255586421591387 + +2023-08-10 07:31:48,774 - train: [ INFO] - Test: [ 0/16] Time: 1.710 (1.710) Loss: 3.5311 (3.5311) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 50.8333 (50.8333) + +2023-08-10 07:31:51,960 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.288) Loss: 3.3470 (3.5337) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (16.3000)Acc@5: 57.5000 (49.9000) + +2023-08-10 07:31:52,851 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-101.pth.tar', 16.30000087738037) + +2023-08-10 07:31:56,095 - train: [ INFO] - Train: 102 [ 0/41 ( 0%)] Loss: 1.029262 (1.0293) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.229s, 37.16/s LR: 2.889e-04 P_Replacement: 0.13265100000000002 + +2023-08-10 07:32:21,683 - train: [ INFO] - Train: 102 [ 40/41 (100%)] Loss: 1.074044 (1.0451) Acc@1: 96.6667 (97.9472) Acc@5: 100.0000 (99.9390) Time: 0.703s, 170.75/s LR: 2.889e-04 P_Replacement: 0.1364938644389954 + +2023-08-10 07:32:24,580 - train: [ INFO] - Test: [ 0/16] Time: 1.747 (1.747) Loss: 3.5244 (3.5244) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 52.5000 (52.5000) + +2023-08-10 07:32:27,754 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.289) Loss: 3.5665 (3.7043) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (15.9000)Acc@5: 46.2500 (48.0500) + +2023-08-10 07:32:31,769 - train: [ INFO] - Train: 103 [ 0/41 ( 0%)] Loss: 1.046244 (1.0462) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.141s, 38.20/s LR: 2.844e-04 P_Replacement: 0.136590875 + +2023-08-10 07:32:57,484 - train: [ INFO] - Train: 103 [ 40/41 (100%)] Loss: 1.120321 (1.0483) Acc@1: 99.1667 (98.0488) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.52/s LR: 2.844e-04 P_Replacement: 0.14050909636939396 + +2023-08-10 07:33:00,002 - train: [ INFO] - Test: [ 0/16] Time: 1.704 (1.704) Loss: 3.6356 (3.6356) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 42.5000 (42.5000) + +2023-08-10 07:33:03,185 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.287) Loss: 3.1017 (3.6423) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (15.0500)Acc@5: 55.0000 (47.6500) + +2023-08-10 07:33:07,292 - train: [ INFO] - Train: 104 [ 0/41 ( 0%)] Loss: 1.083986 (1.0840) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.179s, 37.74/s LR: 2.799e-04 P_Replacement: 0.140608 + +2023-08-10 07:33:33,028 - train: [ INFO] - Train: 104 [ 40/41 (100%)] Loss: 0.955838 (1.0795) Acc@1: 99.1667 (97.8252) Acc@5: 100.0000 (100.0000) Time: 0.705s, 170.17/s LR: 2.799e-04 P_Replacement: 0.1446023100071096 + +2023-08-10 07:33:35,832 - train: [ INFO] - Test: [ 0/16] Time: 1.670 (1.670) Loss: 3.4004 (3.4004) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 51.6667 (51.6667) + +2023-08-10 07:33:39,039 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.287) Loss: 3.4910 (3.6335) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (14.5500)Acc@5: 52.5000 (48.1500) + +2023-08-10 07:33:43,617 - train: [ INFO] - Train: 105 [ 0/41 ( 0%)] Loss: 1.218757 (1.2188) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.221s, 37.25/s LR: 2.754e-04 P_Replacement: 0.14470312500000002 + +2023-08-10 07:34:09,291 - train: [ INFO] - Train: 105 [ 40/41 (100%)] Loss: 1.079837 (1.0560) Acc@1: 98.3333 (98.0285) Acc@5: 100.0000 (99.9797) Time: 0.705s, 170.28/s LR: 2.754e-04 P_Replacement: 0.14877425535214234 + +2023-08-10 07:34:12,104 - train: [ INFO] - Test: [ 0/16] Time: 1.662 (1.662) Loss: 3.7742 (3.7742) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 45.0000 (45.0000) + +2023-08-10 07:34:15,302 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.286) Loss: 3.5917 (3.7337) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (15.2000)Acc@5: 52.5000 (47.9000) + +2023-08-10 07:34:19,761 - train: [ INFO] - Train: 106 [ 0/41 ( 0%)] Loss: 1.071096 (1.0711) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 3.130s, 38.34/s LR: 2.709e-04 P_Replacement: 0.148877 + +2023-08-10 07:34:45,413 - train: [ INFO] - Train: 106 [ 40/41 (100%)] Loss: 1.132322 (1.0591) Acc@1: 98.3333 (98.2317) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.95/s LR: 2.709e-04 P_Replacement: 0.15302568240449213 + +2023-08-10 07:34:47,947 - train: [ INFO] - Test: [ 0/16] Time: 1.659 (1.659) Loss: 3.3979 (3.3979) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 45.8333 (45.8333) + +2023-08-10 07:34:51,109 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.284) Loss: 3.3792 (3.4814) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (15.9000)Acc@5: 48.7500 (48.3500) + +2023-08-10 07:34:55,178 - train: [ INFO] - Train: 107 [ 0/41 ( 0%)] Loss: 0.926881 (0.9269) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.203s, 37.46/s LR: 2.664e-04 P_Replacement: 0.153130375 + +2023-08-10 07:35:20,732 - train: [ INFO] - Train: 107 [ 40/41 (100%)] Loss: 1.607730 (1.0668) Acc@1: 99.1667 (98.4146) Acc@5: 100.0000 (99.9797) Time: 0.701s, 171.11/s LR: 2.664e-04 P_Replacement: 0.157357341164159 + +2023-08-10 07:35:23,228 - train: [ INFO] - Test: [ 0/16] Time: 1.708 (1.708) Loss: 3.7177 (3.7177) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 50.0000 (50.0000) + +2023-08-10 07:35:26,427 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.289) Loss: 3.6497 (3.6785) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (18.9000)Acc@5: 47.5000 (50.7000) + +2023-08-10 07:35:27,302 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-107.pth.tar', 18.900001010894776) + +2023-08-10 07:35:30,503 - train: [ INFO] - Train: 108 [ 0/41 ( 0%)] Loss: 0.912661 (0.9127) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.183s, 37.70/s LR: 2.619e-04 P_Replacement: 0.15746400000000002 + +2023-08-10 07:35:56,123 - train: [ INFO] - Train: 108 [ 40/41 (100%)] Loss: 0.917077 (1.0395) Acc@1: 98.3333 (98.7602) Acc@5: 100.0000 (99.9797) Time: 0.702s, 170.82/s LR: 2.619e-04 P_Replacement: 0.16176998163114295 + +2023-08-10 07:35:58,538 - train: [ INFO] - Test: [ 0/16] Time: 1.668 (1.668) Loss: 3.5360 (3.5360) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 45.8333 (45.8333) + +2023-08-10 07:36:01,704 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.284) Loss: 3.8482 (3.6433) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.6500)Acc@5: 45.0000 (47.7500) + +2023-08-10 07:36:05,859 - train: [ INFO] - Train: 109 [ 0/41 ( 0%)] Loss: 0.800391 (0.8004) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.323s, 36.11/s LR: 2.574e-04 P_Replacement: 0.16187862500000003 + +2023-08-10 07:36:31,437 - train: [ INFO] - Train: 109 [ 40/41 (100%)] Loss: 0.846317 (1.0517) Acc@1: 98.3333 (98.3537) Acc@5: 100.0000 (100.0000) Time: 0.705s, 170.25/s LR: 2.574e-04 P_Replacement: 0.16626435380544397 + +2023-08-10 07:36:34,215 - train: [ INFO] - Test: [ 0/16] Time: 1.655 (1.655) Loss: 3.5723 (3.5723) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 44.1667 (44.1667) + +2023-08-10 07:36:37,411 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.285) Loss: 3.4828 (3.8356) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (13.5000)Acc@5: 51.2500 (45.9000) + +2023-08-10 07:36:41,825 - train: [ INFO] - Train: 110 [ 0/41 ( 0%)] Loss: 1.102018 (1.1020) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.118s, 38.48/s LR: 2.529e-04 P_Replacement: 0.16637500000000005 + +2023-08-10 07:37:07,455 - train: [ INFO] - Train: 110 [ 40/41 (100%)] Loss: 1.290837 (1.0888) Acc@1: 99.1667 (98.4146) Acc@5: 100.0000 (100.0000) Time: 0.701s, 171.15/s LR: 2.529e-04 P_Replacement: 0.17084120768706204 + +2023-08-10 07:37:09,872 - train: [ INFO] - Test: [ 0/16] Time: 1.646 (1.646) Loss: 3.5410 (3.5410) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 52.5000 (52.5000) + +2023-08-10 07:37:13,043 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.283) Loss: 3.3479 (3.4537) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (19.0000)Acc@5: 51.2500 (53.5000) + +2023-08-10 07:37:14,431 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-110.pth.tar', 19.000000801086426) + +2023-08-10 07:37:17,697 - train: [ INFO] - Train: 111 [ 0/41 ( 0%)] Loss: 1.210041 (1.2100) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 3.248s, 36.94/s LR: 2.485e-04 P_Replacement: 0.17095387500000003 + +2023-08-10 07:37:43,356 - train: [ INFO] - Train: 111 [ 40/41 (100%)] Loss: 1.211086 (1.0937) Acc@1: 100.0000 (98.7195) Acc@5: 100.0000 (100.0000) Time: 0.705s, 170.21/s LR: 2.485e-04 P_Replacement: 0.1755012932759972 + +2023-08-10 07:37:45,921 - train: [ INFO] - Test: [ 0/16] Time: 1.674 (1.674) Loss: 3.8113 (3.8113) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 50.8333 (50.8333) + +2023-08-10 07:37:49,108 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.286) Loss: 3.4372 (3.6314) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (18.5000)Acc@5: 62.5000 (52.1000) + +2023-08-10 07:37:53,158 - train: [ INFO] - Train: 112 [ 0/41 ( 0%)] Loss: 0.998432 (0.9984) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.181s, 37.73/s LR: 2.440e-04 P_Replacement: 0.17561600000000005 + +2023-08-10 07:38:18,791 - train: [ INFO] - Train: 112 [ 40/41 (100%)] Loss: 1.026168 (1.0211) Acc@1: 98.3333 (98.6789) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.77/s LR: 2.440e-04 P_Replacement: 0.18024536057224932 + +2023-08-10 07:38:21,494 - train: [ INFO] - Test: [ 0/16] Time: 1.607 (1.607) Loss: 3.4195 (3.4195) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 51.6667 (51.6667) + +2023-08-10 07:38:24,642 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.280) Loss: 3.2717 (3.5377) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (19.5000)Acc@5: 52.5000 (50.7500) + +2023-08-10 07:38:25,955 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-112.pth.tar', 19.500000953674316) + +2023-08-10 07:38:29,090 - train: [ INFO] - Train: 113 [ 0/41 ( 0%)] Loss: 0.984070 (0.9841) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.114s, 38.53/s LR: 2.396e-04 P_Replacement: 0.18036212499999996 + +2023-08-10 07:38:54,689 - train: [ INFO] - Train: 113 [ 40/41 (100%)] Loss: 1.035477 (1.0474) Acc@1: 98.3333 (98.9228) Acc@5: 100.0000 (99.9797) Time: 0.700s, 171.37/s LR: 2.396e-04 P_Replacement: 0.18507415957581863 + +2023-08-10 07:38:57,491 - train: [ INFO] - Test: [ 0/16] Time: 1.663 (1.663) Loss: 3.4945 (3.4945) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 50.8333 (50.8333) + +2023-08-10 07:39:00,670 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.285) Loss: 3.3092 (3.5736) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (19.4500)Acc@5: 48.7500 (52.3500) + +2023-08-10 07:39:04,653 - train: [ INFO] - Train: 114 [ 0/41 ( 0%)] Loss: 1.066361 (1.0664) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.128s, 38.36/s LR: 2.352e-04 P_Replacement: 0.18519299999999994 + +2023-08-10 07:39:30,293 - train: [ INFO] - Train: 114 [ 40/41 (100%)] Loss: 0.907976 (1.0384) Acc@1: 98.3333 (98.8415) Acc@5: 100.0000 (100.0000) Time: 0.702s, 171.03/s LR: 2.352e-04 P_Replacement: 0.18998844028670503 + +2023-08-10 07:39:32,725 - train: [ INFO] - Test: [ 0/16] Time: 1.654 (1.654) Loss: 3.7890 (3.7890) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 51.6667 (51.6667) + +2023-08-10 07:39:35,920 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.285) Loss: 2.9778 (3.5083) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (20.7500)Acc@5: 67.5000 (54.8500) + +2023-08-10 07:39:36,873 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-114.pth.tar', 20.75000118255615) + +2023-08-10 07:39:40,028 - train: [ INFO] - Train: 115 [ 0/41 ( 0%)] Loss: 0.971775 (0.9718) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.134s, 38.29/s LR: 2.307e-04 P_Replacement: 0.19010937499999997 + +2023-08-10 07:40:05,777 - train: [ INFO] - Train: 115 [ 40/41 (100%)] Loss: 0.976823 (0.9990) Acc@1: 96.6667 (98.6992) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.36/s LR: 2.307e-04 P_Replacement: 0.19498895270490849 + +2023-08-10 07:40:08,533 - train: [ INFO] - Test: [ 0/16] Time: 1.687 (1.687) Loss: 3.5622 (3.5622) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 50.0000 (50.0000) + +2023-08-10 07:40:11,693 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.285) Loss: 3.8750 (3.4229) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (20.4500)Acc@5: 46.2500 (55.3500) + +2023-08-10 07:40:15,811 - train: [ INFO] - Train: 116 [ 0/41 ( 0%)] Loss: 1.180230 (1.1802) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.167s, 37.90/s LR: 2.264e-04 P_Replacement: 0.19511199999999995 + +2023-08-10 07:40:41,423 - train: [ INFO] - Train: 116 [ 40/41 (100%)] Loss: 0.860295 (0.9804) Acc@1: 98.3333 (98.6382) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.97/s LR: 2.264e-04 P_Replacement: 0.200076446830429 + +2023-08-10 07:40:44,125 - train: [ INFO] - Test: [ 0/16] Time: 1.654 (1.654) Loss: 3.8985 (3.8985) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 50.8333 (50.8333) + +2023-08-10 07:40:47,297 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.284) Loss: 3.8909 (3.6751) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0500)Acc@5: 50.0000 (54.3500) + +2023-08-10 07:40:51,753 - train: [ INFO] - Train: 117 [ 0/41 ( 0%)] Loss: 0.919585 (0.9196) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.149s, 38.10/s LR: 2.220e-04 P_Replacement: 0.20020162499999997 + +2023-08-10 07:41:17,396 - train: [ INFO] - Train: 117 [ 40/41 (100%)] Loss: 0.718973 (0.9684) Acc@1: 100.0000 (98.6382) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.89/s LR: 2.220e-04 P_Replacement: 0.2052516726632666 + +2023-08-10 07:41:19,918 - train: [ INFO] - Test: [ 0/16] Time: 1.694 (1.694) Loss: 3.7707 (3.7707) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 60.8333 (60.8333) + +2023-08-10 07:41:23,078 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.286) Loss: 3.5409 (3.7747) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (19.8000)Acc@5: 60.0000 (54.4500) + +2023-08-10 07:41:27,149 - train: [ INFO] - Train: 118 [ 0/41 ( 0%)] Loss: 0.829276 (0.8293) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.176s, 37.78/s LR: 2.176e-04 P_Replacement: 0.20537899999999998 + +2023-08-10 07:41:52,792 - train: [ INFO] - Train: 118 [ 40/41 (100%)] Loss: 0.893505 (0.9311) Acc@1: 97.5000 (98.9228) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.74/s LR: 2.176e-04 P_Replacement: 0.21051538020342128 + +2023-08-10 07:41:55,579 - train: [ INFO] - Test: [ 0/16] Time: 1.703 (1.703) Loss: 4.4508 (4.4508) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 50.8333 (50.8333) + +2023-08-10 07:41:58,750 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.287) Loss: 3.4684 (3.9839) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (20.5000)Acc@5: 61.2500 (55.2000) + +2023-08-10 07:42:03,214 - train: [ INFO] - Train: 119 [ 0/41 ( 0%)] Loss: 0.767457 (0.7675) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.159s, 37.99/s LR: 2.133e-04 P_Replacement: 0.21064487499999998 + +2023-08-10 07:42:28,804 - train: [ INFO] - Train: 119 [ 40/41 (100%)] Loss: 1.080841 (0.9512) Acc@1: 99.1667 (98.6585) Acc@5: 100.0000 (100.0000) Time: 0.701s, 171.15/s LR: 2.133e-04 P_Replacement: 0.21586831945089302 + +2023-08-10 07:42:31,239 - train: [ INFO] - Test: [ 0/16] Time: 1.663 (1.663) Loss: 3.7907 (3.7907) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 55.8333 (55.8333) + +2023-08-10 07:42:34,420 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.285) Loss: 4.1518 (3.7999) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (21.0000)Acc@5: 50.0000 (55.2500) + +2023-08-10 07:42:35,711 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-119.pth.tar', 21.000001010894774) + +2023-08-10 07:42:38,855 - train: [ INFO] - Train: 120 [ 0/41 ( 0%)] Loss: 0.912994 (0.9130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.124s, 38.41/s LR: 2.090e-04 P_Replacement: 0.21599999999999997 + +2023-08-10 07:43:04,433 - train: [ INFO] - Train: 120 [ 40/41 (100%)] Loss: 0.818728 (0.9058) Acc@1: 99.1667 (98.7602) Acc@5: 100.0000 (100.0000) Time: 0.700s, 171.43/s LR: 2.090e-04 P_Replacement: 0.22131124040568184 + +2023-08-10 07:43:07,268 - train: [ INFO] - Test: [ 0/16] Time: 1.688 (1.688) Loss: 3.9913 (3.9913) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 50.0000 (50.0000) + +2023-08-10 07:43:10,414 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.284) Loss: 3.5507 (3.5500) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (22.6500)Acc@5: 60.0000 (58.6000) + +2023-08-10 07:43:11,534 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-120.pth.tar', 22.650001316070558) + +2023-08-10 07:43:14,806 - train: [ INFO] - Train: 121 [ 0/41 ( 0%)] Loss: 0.775266 (0.7753) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.253s, 36.89/s LR: 2.047e-04 P_Replacement: 0.221445125 + +2023-08-10 07:43:40,294 - train: [ INFO] - Train: 121 [ 40/41 (100%)] Loss: 0.859517 (0.8820) Acc@1: 100.0000 (98.9024) Acc@5: 100.0000 (100.0000) Time: 0.701s, 171.20/s LR: 2.047e-04 P_Replacement: 0.22684489306778774 + +2023-08-10 07:43:42,873 - train: [ INFO] - Test: [ 0/16] Time: 1.683 (1.683) Loss: 3.7940 (3.7940) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 54.1667 (54.1667) + +2023-08-10 07:43:46,000 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.283) Loss: 3.5180 (3.7474) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (21.7500)Acc@5: 57.5000 (56.9500) + +2023-08-10 07:43:50,071 - train: [ INFO] - Train: 122 [ 0/41 ( 0%)] Loss: 0.686978 (0.6870) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.208s, 37.41/s LR: 2.004e-04 P_Replacement: 0.226981 + +2023-08-10 07:44:15,674 - train: [ INFO] - Train: 122 [ 40/41 (100%)] Loss: 1.046181 (0.8559) Acc@1: 98.3333 (99.0244) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.78/s LR: 2.004e-04 P_Replacement: 0.2324700274372107 + +2023-08-10 07:44:18,239 - train: [ INFO] - Test: [ 0/16] Time: 1.633 (1.633) Loss: 3.9556 (3.9556) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 55.8333 (55.8333) + +2023-08-10 07:44:21,426 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.284) Loss: 4.2394 (3.8988) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (20.7000)Acc@5: 51.2500 (55.6500) + +2023-08-10 07:44:25,435 - train: [ INFO] - Train: 123 [ 0/41 ( 0%)] Loss: 0.662923 (0.6629) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.126s, 38.38/s LR: 1.962e-04 P_Replacement: 0.23260837499999998 + +2023-08-10 07:44:51,108 - train: [ INFO] - Train: 123 [ 40/41 (100%)] Loss: 0.790787 (0.8158) Acc@1: 99.1667 (99.2886) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.85/s LR: 1.962e-04 P_Replacement: 0.23818739351395074 + +2023-08-10 07:44:53,991 - train: [ INFO] - Test: [ 0/16] Time: 1.713 (1.713) Loss: 3.8568 (3.8568) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 58.3333 (58.3333) + +2023-08-10 07:44:57,149 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.287) Loss: 3.7795 (3.8122) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (23.2500)Acc@5: 62.5000 (57.6500) + +2023-08-10 07:44:58,385 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-123.pth.tar', 23.250001373291017) + +2023-08-10 07:45:01,509 - train: [ INFO] - Train: 124 [ 0/41 ( 0%)] Loss: 0.796305 (0.7963) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.105s, 38.65/s LR: 1.920e-04 P_Replacement: 0.23832799999999998 + +2023-08-10 07:45:27,182 - train: [ INFO] - Train: 124 [ 40/41 (100%)] Loss: 0.763339 (0.8144) Acc@1: 99.1667 (99.3496) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.98/s LR: 1.920e-04 P_Replacement: 0.24399774129800786 + +2023-08-10 07:45:29,724 - train: [ INFO] - Test: [ 0/16] Time: 1.665 (1.665) Loss: 3.7174 (3.7174) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 51.6667 (51.6667) + +2023-08-10 07:45:32,888 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.284) Loss: 3.5995 (3.7069) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (22.4500)Acc@5: 60.0000 (57.7500) + +2023-08-10 07:45:37,040 - train: [ INFO] - Train: 125 [ 0/41 ( 0%)] Loss: 0.716911 (0.7169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.102s, 38.68/s LR: 1.878e-04 P_Replacement: 0.244140625 + +2023-08-10 07:46:02,600 - train: [ INFO] - Train: 125 [ 40/41 (100%)] Loss: 0.960192 (0.7624) Acc@1: 96.6667 (99.2073) Acc@5: 100.0000 (100.0000) Time: 0.699s, 171.67/s LR: 1.878e-04 P_Replacement: 0.24990182078938206 + +2023-08-10 07:46:05,237 - train: [ INFO] - Test: [ 0/16] Time: 1.665 (1.665) Loss: 3.5345 (3.5345) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 60.8333 (60.8333) + +2023-08-10 07:46:08,395 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.284) Loss: 4.1266 (3.7347) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (22.4500)Acc@5: 50.0000 (57.6500) + +2023-08-10 07:46:12,427 - train: [ INFO] - Train: 126 [ 0/41 ( 0%)] Loss: 0.744960 (0.7450) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.145s, 38.16/s LR: 1.836e-04 P_Replacement: 0.250047 + +2023-08-10 07:46:38,045 - train: [ INFO] - Train: 126 [ 40/41 (100%)] Loss: 0.716960 (0.7789) Acc@1: 99.1667 (99.3293) Acc@5: 100.0000 (100.0000) Time: 0.701s, 171.07/s LR: 1.836e-04 P_Replacement: 0.2559003819880733 + +2023-08-10 07:46:40,885 - train: [ INFO] - Test: [ 0/16] Time: 1.665 (1.665) Loss: 4.1416 (4.1416) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 53.3333 (53.3333) + +2023-08-10 07:46:44,046 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.284) Loss: 3.7080 (3.8234) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (22.0000)Acc@5: 56.2500 (57.4500) + +2023-08-10 07:46:48,107 - train: [ INFO] - Train: 127 [ 0/41 ( 0%)] Loss: 0.630225 (0.6302) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.208s, 37.40/s LR: 1.795e-04 P_Replacement: 0.25604787500000004 + +2023-08-10 07:47:13,707 - train: [ INFO] - Train: 127 [ 40/41 (100%)] Loss: 0.810964 (0.7459) Acc@1: 99.1667 (99.5122) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.80/s LR: 1.795e-04 P_Replacement: 0.26199417489408167 + +2023-08-10 07:47:16,234 - train: [ INFO] - Test: [ 0/16] Time: 1.641 (1.641) Loss: 4.2779 (4.2779) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 52.5000 (52.5000) + +2023-08-10 07:47:19,431 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.285) Loss: 3.3963 (3.7894) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (22.6000)Acc@5: 57.5000 (58.5500) + +2023-08-10 07:47:23,820 - train: [ INFO] - Train: 128 [ 0/41 ( 0%)] Loss: 0.779041 (0.7790) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.101s, 38.70/s LR: 1.754e-04 P_Replacement: 0.26214400000000004 + +2023-08-10 07:47:49,370 - train: [ INFO] - Train: 128 [ 40/41 (100%)] Loss: 0.710356 (0.7198) Acc@1: 100.0000 (99.5529) Acc@5: 100.0000 (100.0000) Time: 0.699s, 171.74/s LR: 1.754e-04 P_Replacement: 0.26818394950740704 + +2023-08-10 07:47:52,180 - train: [ INFO] - Test: [ 0/16] Time: 1.699 (1.699) Loss: 3.7316 (3.7316) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 60.8333 (60.8333) + +2023-08-10 07:47:55,322 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.285) Loss: 3.8867 (3.9350) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (21.0500)Acc@5: 57.5000 (57.7000) + +2023-08-10 07:47:59,400 - train: [ INFO] - Train: 129 [ 0/41 ( 0%)] Loss: 0.780531 (0.7805) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.174s, 37.81/s LR: 1.713e-04 P_Replacement: 0.26833612500000004 + +2023-08-10 07:48:24,970 - train: [ INFO] - Train: 129 [ 40/41 (100%)] Loss: 1.068077 (0.7276) Acc@1: 99.1667 (99.5325) Acc@5: 100.0000 (100.0000) Time: 0.701s, 171.18/s LR: 1.713e-04 P_Replacement: 0.2744704558280495 + +2023-08-10 07:48:27,871 - train: [ INFO] - Test: [ 0/16] Time: 1.688 (1.688) Loss: 4.3124 (4.3124) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 50.8333 (50.8333) + +2023-08-10 07:48:31,027 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.285) Loss: 3.8734 (3.9250) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (23.4500)Acc@5: 60.0000 (57.4000) + +2023-08-10 07:48:31,892 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-129.pth.tar', 23.450001392364502) + +2023-08-10 07:48:35,072 - train: [ INFO] - Train: 130 [ 0/41 ( 0%)] Loss: 0.964288 (0.9643) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.167s, 37.89/s LR: 1.672e-04 P_Replacement: 0.274625 + +2023-08-10 07:49:00,787 - train: [ INFO] - Train: 130 [ 40/41 (100%)] Loss: 0.663765 (0.7312) Acc@1: 99.1667 (99.2886) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.36/s LR: 1.672e-04 P_Replacement: 0.2808544438560091 + +2023-08-10 07:49:03,216 - train: [ INFO] - Test: [ 0/16] Time: 1.682 (1.682) Loss: 3.3763 (3.3763) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 61.6667 (61.6667) + +2023-08-10 07:49:06,386 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.285) Loss: 3.8044 (3.6338) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (23.5500)Acc@5: 58.7500 (60.9500) + +2023-08-10 07:49:07,681 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-130.pth.tar', 23.55000099182129) + +2023-08-10 07:49:10,928 - train: [ INFO] - Train: 131 [ 0/41 ( 0%)] Loss: 0.639672 (0.6397) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.229s, 37.17/s LR: 1.632e-04 P_Replacement: 0.281011375 + +2023-08-10 07:49:36,476 - train: [ INFO] - Train: 131 [ 40/41 (100%)] Loss: 0.719204 (0.7026) Acc@1: 100.0000 (99.4309) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.98/s LR: 1.632e-04 P_Replacement: 0.28733666359128573 + +2023-08-10 07:49:39,282 - train: [ INFO] - Test: [ 0/16] Time: 1.634 (1.634) Loss: 3.4710 (3.4710) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 61.6667 (61.6667) + +2023-08-10 07:49:42,437 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.282) Loss: 3.8620 (3.6017) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (23.4000)Acc@5: 56.2500 (61.4000) + +2023-08-10 07:49:46,372 - train: [ INFO] - Train: 132 [ 0/41 ( 0%)] Loss: 0.606547 (0.6065) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.089s, 38.84/s LR: 1.592e-04 P_Replacement: 0.28749600000000003 + +2023-08-10 07:50:11,868 - train: [ INFO] - Train: 132 [ 40/41 (100%)] Loss: 0.629628 (0.6746) Acc@1: 98.3333 (99.4106) Acc@5: 100.0000 (100.0000) Time: 0.697s, 172.13/s LR: 1.592e-04 P_Replacement: 0.2939178650338794 + +2023-08-10 07:50:14,531 - train: [ INFO] - Test: [ 0/16] Time: 1.672 (1.672) Loss: 3.4984 (3.4984) cLoss: 0.0000 (0.0000) Acc@1: 31.6667 (31.6667)Acc@5: 60.0000 (60.0000) + +2023-08-10 07:50:17,714 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.286) Loss: 3.2620 (3.6683) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (24.2500)Acc@5: 65.0000 (61.1000) + +2023-08-10 07:50:18,593 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-132.pth.tar', 24.250001258850098) + +2023-08-10 07:50:21,858 - train: [ INFO] - Train: 133 [ 0/41 ( 0%)] Loss: 0.659362 (0.6594) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.248s, 36.94/s LR: 1.553e-04 P_Replacement: 0.29407962500000007 + +2023-08-10 07:50:47,411 - train: [ INFO] - Train: 133 [ 40/41 (100%)] Loss: 0.572646 (0.6679) Acc@1: 100.0000 (99.6545) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.84/s LR: 1.553e-04 P_Replacement: 0.3005987981837902 + +2023-08-10 07:50:50,153 - train: [ INFO] - Test: [ 0/16] Time: 1.664 (1.664) Loss: 3.2761 (3.2761) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 63.3333 (63.3333) + +2023-08-10 07:50:53,332 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.285) Loss: 3.6622 (3.7505) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (23.6000)Acc@5: 62.5000 (59.8500) + +2023-08-10 07:50:57,287 - train: [ INFO] - Train: 134 [ 0/41 ( 0%)] Loss: 0.712416 (0.7124) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.136s, 38.27/s LR: 1.514e-04 P_Replacement: 0.30076300000000006 + +2023-08-10 07:51:22,834 - train: [ INFO] - Train: 134 [ 40/41 (100%)] Loss: 0.848995 (0.6828) Acc@1: 99.1667 (99.6342) Acc@5: 100.0000 (99.9797) Time: 0.700s, 171.54/s LR: 1.514e-04 P_Replacement: 0.30738021304101804 + +2023-08-10 07:51:25,277 - train: [ INFO] - Test: [ 0/16] Time: 1.627 (1.627) Loss: 3.6030 (3.6030) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 62.5000 (62.5000) + +2023-08-10 07:51:28,489 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.285) Loss: 3.9054 (3.8303) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (23.5000)Acc@5: 63.7500 (59.3000) + +2023-08-10 07:51:32,487 - train: [ INFO] - Train: 135 [ 0/41 ( 0%)] Loss: 0.673996 (0.6740) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.085s, 38.90/s LR: 1.475e-04 P_Replacement: 0.30754687500000005 + +2023-08-10 07:51:58,106 - train: [ INFO] - Train: 135 [ 40/41 (100%)] Loss: 0.637521 (0.6780) Acc@1: 100.0000 (99.6951) Acc@5: 100.0000 (100.0000) Time: 0.700s, 171.41/s LR: 1.475e-04 P_Replacement: 0.31426285960556294 + +2023-08-10 07:52:00,537 - train: [ INFO] - Test: [ 0/16] Time: 1.629 (1.629) Loss: 3.9764 (3.9764) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 52.5000 (52.5000) + +2023-08-10 07:52:03,705 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.282) Loss: 4.2509 (3.6728) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (24.0500)Acc@5: 55.0000 (61.4000) + +2023-08-10 07:52:08,186 - train: [ INFO] - Train: 136 [ 0/41 ( 0%)] Loss: 0.634273 (0.6343) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.194s, 37.57/s LR: 1.437e-04 P_Replacement: 0.31443200000000004 + +2023-08-10 07:52:33,856 - train: [ INFO] - Train: 136 [ 40/41 (100%)] Loss: 0.795811 (0.6878) Acc@1: 99.1667 (99.6342) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.48/s LR: 1.437e-04 P_Replacement: 0.32124748787742496 + +2023-08-10 07:52:36,647 - train: [ INFO] - Test: [ 0/16] Time: 1.655 (1.655) Loss: 3.7302 (3.7302) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 64.1667 (64.1667) + +2023-08-10 07:52:39,828 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.284) Loss: 3.9553 (3.8141) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (23.8500)Acc@5: 62.5000 (59.7000) + +2023-08-10 07:52:44,243 - train: [ INFO] - Train: 137 [ 0/41 ( 0%)] Loss: 0.680529 (0.6805) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.159s, 37.98/s LR: 1.399e-04 P_Replacement: 0.3214191250000001 + +2023-08-10 07:53:09,937 - train: [ INFO] - Train: 137 [ 40/41 (100%)] Loss: 0.716729 (0.6570) Acc@1: 100.0000 (99.5122) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.54/s LR: 1.399e-04 P_Replacement: 0.3283348478566039 + +2023-08-10 07:53:12,771 - train: [ INFO] - Test: [ 0/16] Time: 1.717 (1.717) Loss: 3.6501 (3.6501) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 60.0000 (60.0000) + +2023-08-10 07:53:15,927 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.287) Loss: 3.5747 (3.6906) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (24.6500)Acc@5: 61.2500 (60.8500) + +2023-08-10 07:53:16,812 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-137.pth.tar', 24.650001258850097) + +2023-08-10 07:53:20,061 - train: [ INFO] - Train: 138 [ 0/41 ( 0%)] Loss: 0.511023 (0.5110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.231s, 37.14/s LR: 1.361e-04 P_Replacement: 0.32850899999999994 + +2023-08-10 07:53:45,758 - train: [ INFO] - Train: 138 [ 40/41 (100%)] Loss: 0.612046 (0.6288) Acc@1: 99.1667 (99.7764) Acc@5: 100.0000 (99.9797) Time: 0.706s, 170.09/s LR: 1.361e-04 P_Replacement: 0.3355256895431 + +2023-08-10 07:53:48,570 - train: [ INFO] - Test: [ 0/16] Time: 1.654 (1.654) Loss: 3.9540 (3.9540) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 61.6667 (61.6667) + +2023-08-10 07:53:51,746 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.284) Loss: 3.7292 (3.7180) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (25.5500)Acc@5: 63.7500 (61.5500) + +2023-08-10 07:53:52,629 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-138.pth.tar', 25.5500012588501) + +2023-08-10 07:53:55,848 - train: [ INFO] - Train: 139 [ 0/41 ( 0%)] Loss: 0.758879 (0.7589) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.203s, 37.46/s LR: 1.324e-04 P_Replacement: 0.33570237499999994 + +2023-08-10 07:54:21,520 - train: [ INFO] - Train: 139 [ 40/41 (100%)] Loss: 0.631188 (0.6661) Acc@1: 99.1667 (99.6138) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.40/s LR: 1.324e-04 P_Replacement: 0.3428207629369132 + +2023-08-10 07:54:24,011 - train: [ INFO] - Test: [ 0/16] Time: 1.596 (1.596) Loss: 3.6325 (3.6325) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 57.5000 (57.5000) + +2023-08-10 07:54:27,168 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.280) Loss: 3.6930 (3.6555) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (24.8000)Acc@5: 58.7500 (61.1500) + +2023-08-10 07:54:31,692 - train: [ INFO] - Train: 140 [ 0/41 ( 0%)] Loss: 0.746114 (0.7461) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.223s, 37.23/s LR: 1.287e-04 P_Replacement: 0.3429999999999999 + +2023-08-10 07:54:57,266 - train: [ INFO] - Train: 140 [ 40/41 (100%)] Loss: 0.783766 (0.6457) Acc@1: 100.0000 (99.6951) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.86/s LR: 1.287e-04 P_Replacement: 0.3502208180380435 + +2023-08-10 07:54:59,794 - train: [ INFO] - Test: [ 0/16] Time: 1.616 (1.616) Loss: 3.9670 (3.9670) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 58.3333 (58.3333) + +2023-08-10 07:55:02,971 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.282) Loss: 3.7470 (3.8257) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (25.0000)Acc@5: 60.0000 (59.9000) + +2023-08-10 07:55:06,926 - train: [ INFO] - Train: 141 [ 0/41 ( 0%)] Loss: 0.634973 (0.6350) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.093s, 38.79/s LR: 1.251e-04 P_Replacement: 0.35040262499999997 + +2023-08-10 07:55:32,635 - train: [ INFO] - Train: 141 [ 40/41 (100%)] Loss: 0.529629 (0.6286) Acc@1: 100.0000 (99.7358) Acc@5: 100.0000 (99.9797) Time: 0.702s, 170.83/s LR: 1.251e-04 P_Replacement: 0.3577266048464909 + +2023-08-10 07:55:35,134 - train: [ INFO] - Test: [ 0/16] Time: 1.650 (1.650) Loss: 3.1180 (3.1180) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 66.6667 (66.6667) + +2023-08-10 07:55:38,324 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.285) Loss: 3.6208 (3.7430) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (24.3000)Acc@5: 56.2500 (61.8500) + +2023-08-10 07:55:42,419 - train: [ INFO] - Train: 142 [ 0/41 ( 0%)] Loss: 0.488501 (0.4885) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.196s, 37.55/s LR: 1.215e-04 P_Replacement: 0.3579109999999999 + +2023-08-10 07:56:08,074 - train: [ INFO] - Train: 142 [ 40/41 (100%)] Loss: 0.592923 (0.6327) Acc@1: 100.0000 (99.7358) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.54/s LR: 1.215e-04 P_Replacement: 0.3653388733622553 + +2023-08-10 07:56:10,824 - train: [ INFO] - Test: [ 0/16] Time: 1.632 (1.632) Loss: 3.8683 (3.8683) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 54.1667 (54.1667) + +2023-08-10 07:56:13,971 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.281) Loss: 3.6105 (3.7762) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (24.2500)Acc@5: 65.0000 (61.2500) + +2023-08-10 07:56:18,497 - train: [ INFO] - Train: 143 [ 0/41 ( 0%)] Loss: 0.551878 (0.5519) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.255s, 36.87/s LR: 1.179e-04 P_Replacement: 0.36552587499999994 + +2023-08-10 07:56:44,189 - train: [ INFO] - Train: 143 [ 40/41 (100%)] Loss: 0.659219 (0.6268) Acc@1: 99.1667 (99.7155) Acc@5: 100.0000 (99.9797) Time: 0.706s, 169.98/s LR: 1.179e-04 P_Replacement: 0.3730583735853368 + +2023-08-10 07:56:46,617 - train: [ INFO] - Test: [ 0/16] Time: 1.619 (1.619) Loss: 3.9318 (3.9318) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 56.6667 (56.6667) + +2023-08-10 07:56:49,800 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.282) Loss: 4.1371 (3.6813) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (24.5000)Acc@5: 53.7500 (60.9500) + +2023-08-10 07:56:53,851 - train: [ INFO] - Train: 144 [ 0/41 ( 0%)] Loss: 0.548123 (0.5481) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.223s, 37.23/s LR: 1.144e-04 P_Replacement: 0.37324799999999997 + +2023-08-10 07:57:19,445 - train: [ INFO] - Train: 144 [ 40/41 (100%)] Loss: 0.572838 (0.5930) Acc@1: 99.1667 (99.8171) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.74/s LR: 1.144e-04 P_Replacement: 0.3808858555157354 + +2023-08-10 07:57:21,964 - train: [ INFO] - Test: [ 0/16] Time: 1.738 (1.738) Loss: 4.1994 (4.1994) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 57.5000 (57.5000) + +2023-08-10 07:57:25,125 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.288) Loss: 3.8970 (3.6684) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (25.3000)Acc@5: 63.7500 (62.7500) + +2023-08-10 07:57:29,180 - train: [ INFO] - Train: 145 [ 0/41 ( 0%)] Loss: 0.613469 (0.6135) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.169s, 37.87/s LR: 1.109e-04 P_Replacement: 0.381078125 + +2023-08-10 07:57:54,793 - train: [ INFO] - Train: 145 [ 40/41 (100%)] Loss: 0.628286 (0.6029) Acc@1: 99.1667 (99.7968) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.96/s LR: 1.109e-04 P_Replacement: 0.388822069153451 + +2023-08-10 07:57:57,695 - train: [ INFO] - Test: [ 0/16] Time: 1.691 (1.691) Loss: 3.7119 (3.7119) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 66.6667 (66.6667) + +2023-08-10 07:58:00,838 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.284) Loss: 3.5134 (3.7664) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (25.0000)Acc@5: 68.7500 (61.8500) + +2023-08-10 07:58:05,394 - train: [ INFO] - Train: 146 [ 0/41 ( 0%)] Loss: 0.524596 (0.5246) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.233s, 37.11/s LR: 1.075e-04 P_Replacement: 0.38901699999999995 + +2023-08-10 07:58:31,018 - train: [ INFO] - Train: 146 [ 40/41 (100%)] Loss: 0.477197 (0.5871) Acc@1: 100.0000 (99.7968) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.51/s LR: 1.075e-04 P_Replacement: 0.39686776449848377 + +2023-08-10 07:58:33,800 - train: [ INFO] - Test: [ 0/16] Time: 1.644 (1.644) Loss: 3.5471 (3.5471) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 61.6667 (61.6667) + +2023-08-10 07:58:36,987 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.284) Loss: 3.7377 (3.7705) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (25.4000)Acc@5: 61.2500 (61.3500) + +2023-08-10 07:58:41,100 - train: [ INFO] - Train: 147 [ 0/41 ( 0%)] Loss: 0.583334 (0.5833) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.162s, 37.95/s LR: 1.042e-04 P_Replacement: 0.397065375 + +2023-08-10 07:59:06,751 - train: [ INFO] - Train: 147 [ 40/41 (100%)] Loss: 0.643027 (0.5917) Acc@1: 99.1667 (99.7155) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.76/s LR: 1.042e-04 P_Replacement: 0.40502369155083356 + +2023-08-10 07:59:09,185 - train: [ INFO] - Test: [ 0/16] Time: 1.646 (1.646) Loss: 3.8171 (3.8171) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 62.5000 (62.5000) + +2023-08-10 07:59:12,385 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.285) Loss: 3.5132 (3.7211) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (25.8500)Acc@5: 67.5000 (62.9500) + +2023-08-10 07:59:13,218 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-147.pth.tar', 25.850001182556152) + +2023-08-10 07:59:16,308 - train: [ INFO] - Train: 148 [ 0/41 ( 0%)] Loss: 0.575964 (0.5760) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.072s, 39.07/s LR: 1.008e-04 P_Replacement: 0.405224 + +2023-08-10 07:59:42,009 - train: [ INFO] - Train: 148 [ 40/41 (100%)] Loss: 0.716040 (0.5868) Acc@1: 100.0000 (99.8171) Acc@5: 100.0000 (100.0000) Time: 0.702s, 171.01/s LR: 1.008e-04 P_Replacement: 0.4132906003105004 + +2023-08-10 07:59:44,645 - train: [ INFO] - Test: [ 0/16] Time: 1.599 (1.599) Loss: 3.7421 (3.7421) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 62.5000 (62.5000) + +2023-08-10 07:59:47,831 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.281) Loss: 3.5037 (3.6617) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.3500)Acc@5: 62.5000 (62.0000) + +2023-08-10 07:59:51,798 - train: [ INFO] - Train: 149 [ 0/41 ( 0%)] Loss: 0.441967 (0.4420) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.072s, 39.06/s LR: 9.757e-05 P_Replacement: 0.413493625 + +2023-08-10 08:00:17,528 - train: [ INFO] - Train: 149 [ 40/41 (100%)] Loss: 0.623002 (0.5818) Acc@1: 100.0000 (99.8171) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.84/s LR: 9.757e-05 P_Replacement: 0.42166924077748436 + +2023-08-10 08:00:20,109 - train: [ INFO] - Test: [ 0/16] Time: 1.626 (1.626) Loss: 3.5778 (3.5778) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 63.3333 (63.3333) + +2023-08-10 08:00:23,259 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.281) Loss: 3.9881 (3.6984) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (25.8500)Acc@5: 51.2500 (62.2000) + +2023-08-10 08:00:27,199 - train: [ INFO] - Train: 150 [ 0/41 ( 0%)] Loss: 0.618176 (0.6182) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.109s, 38.60/s LR: 9.434e-05 P_Replacement: 0.421875 + +2023-08-10 08:00:52,935 - train: [ INFO] - Train: 150 [ 40/41 (100%)] Loss: 0.577700 (0.5855) Acc@1: 100.0000 (99.7968) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.58/s LR: 9.434e-05 P_Replacement: 0.4301603629517854 + +2023-08-10 08:00:55,440 - train: [ INFO] - Test: [ 0/16] Time: 1.627 (1.627) Loss: 3.5680 (3.5680) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 64.1667 (64.1667) + +2023-08-10 08:00:58,624 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.283) Loss: 3.6291 (3.8186) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (25.1500)Acc@5: 61.2500 (61.7500) + +2023-08-10 08:01:02,610 - train: [ INFO] - Train: 151 [ 0/41 ( 0%)] Loss: 0.603257 (0.6033) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.084s, 38.91/s LR: 9.117e-05 P_Replacement: 0.430368875 + +2023-08-10 08:01:28,265 - train: [ INFO] - Train: 151 [ 40/41 (100%)] Loss: 0.566555 (0.5796) Acc@1: 100.0000 (99.7968) Acc@5: 100.0000 (100.0000) Time: 0.701s, 171.21/s LR: 9.117e-05 P_Replacement: 0.43876471683340346 + +2023-08-10 08:01:31,088 - train: [ INFO] - Test: [ 0/16] Time: 1.598 (1.598) Loss: 4.3959 (4.3959) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 49.1667 (49.1667) + +2023-08-10 08:01:34,251 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.280) Loss: 3.7702 (3.8011) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (24.9500)Acc@5: 61.2500 (62.2500) + +2023-08-10 08:01:38,304 - train: [ INFO] - Train: 152 [ 0/41 ( 0%)] Loss: 0.545483 (0.5455) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.122s, 38.44/s LR: 8.805e-05 P_Replacement: 0.43897600000000003 + +2023-08-10 08:02:03,945 - train: [ INFO] - Train: 152 [ 40/41 (100%)] Loss: 0.647405 (0.5596) Acc@1: 100.0000 (99.8374) Acc@5: 100.0000 (100.0000) Time: 0.701s, 171.07/s LR: 8.805e-05 P_Replacement: 0.44748305242233866 + +2023-08-10 08:02:06,395 - train: [ INFO] - Test: [ 0/16] Time: 1.664 (1.664) Loss: 3.6321 (3.6321) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 65.0000 (65.0000) + +2023-08-10 08:02:09,575 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.285) Loss: 4.0933 (3.8828) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (24.0000)Acc@5: 52.5000 (60.6000) + +2023-08-10 08:02:13,668 - train: [ INFO] - Train: 153 [ 0/41 ( 0%)] Loss: 0.900021 (0.9000) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.193s, 37.58/s LR: 8.498e-05 P_Replacement: 0.44769712500000003 + +2023-08-10 08:02:39,368 - train: [ INFO] - Train: 153 [ 40/41 (100%)] Loss: 0.626976 (0.5737) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.705s, 170.29/s LR: 8.498e-05 P_Replacement: 0.4563161197185909 + +2023-08-10 08:02:41,795 - train: [ INFO] - Test: [ 0/16] Time: 1.663 (1.663) Loss: 4.0022 (4.0022) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 59.1667 (59.1667) + +2023-08-10 08:02:44,954 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.284) Loss: 3.6680 (3.8253) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (24.5500)Acc@5: 61.2500 (61.3000) + +2023-08-10 08:02:49,306 - train: [ INFO] - Train: 154 [ 0/41 ( 0%)] Loss: 0.501436 (0.5014) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.227s, 37.18/s LR: 8.196e-05 P_Replacement: 0.456533 + +2023-08-10 08:03:15,023 - train: [ INFO] - Train: 154 [ 40/41 (100%)] Loss: 0.861796 (0.5622) Acc@1: 100.0000 (99.8374) Acc@5: 100.0000 (100.0000) Time: 0.706s, 170.00/s LR: 8.196e-05 P_Replacement: 0.4652646687221602 + +2023-08-10 08:03:17,815 - train: [ INFO] - Test: [ 0/16] Time: 1.621 (1.621) Loss: 3.2796 (3.2796) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (32.5000)Acc@5: 70.8333 (70.8333) + +2023-08-10 08:03:21,005 - train: [ INFO] - Test: [ 16/16] Time: 0.145 (0.283) Loss: 3.9346 (3.7951) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (24.8500)Acc@5: 56.2500 (60.7500) + +2023-08-10 08:03:25,072 - train: [ INFO] - Train: 155 [ 0/41 ( 0%)] Loss: 0.513731 (0.5137) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.120s, 38.46/s LR: 7.900e-05 P_Replacement: 0.46548437500000006 + +2023-08-10 08:03:50,791 - train: [ INFO] - Train: 155 [ 40/41 (100%)] Loss: 0.634768 (0.5720) Acc@1: 100.0000 (99.7764) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.61/s LR: 7.900e-05 P_Replacement: 0.47432944943304656 + +2023-08-10 08:03:53,598 - train: [ INFO] - Test: [ 0/16] Time: 1.738 (1.738) Loss: 3.1871 (3.1871) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 70.8333 (70.8333) + +2023-08-10 08:03:56,766 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.289) Loss: 3.6033 (3.7001) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (24.8000)Acc@5: 70.0000 (62.5000) + +2023-08-10 08:04:00,825 - train: [ INFO] - Train: 156 [ 0/41 ( 0%)] Loss: 0.560077 (0.5601) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.171s, 37.85/s LR: 7.609e-05 P_Replacement: 0.47455200000000003 + +2023-08-10 08:04:26,501 - train: [ INFO] - Train: 156 [ 40/41 (100%)] Loss: 0.774798 (0.5576) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.57/s LR: 7.609e-05 P_Replacement: 0.48351121185125007 + +2023-08-10 08:04:29,042 - train: [ INFO] - Test: [ 0/16] Time: 1.673 (1.673) Loss: 3.8000 (3.8000) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 66.6667 (66.6667) + +2023-08-10 08:04:32,175 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.283) Loss: 4.1054 (3.8281) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (24.1500)Acc@5: 60.0000 (61.0500) + +2023-08-10 08:04:36,171 - train: [ INFO] - Train: 157 [ 0/41 ( 0%)] Loss: 0.637333 (0.6373) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.199s, 37.52/s LR: 7.323e-05 P_Replacement: 0.48373662500000003 + +2023-08-10 08:05:01,883 - train: [ INFO] - Train: 157 [ 40/41 (100%)] Loss: 0.574406 (0.5434) Acc@1: 100.0000 (99.8171) Acc@5: 100.0000 (100.0000) Time: 0.705s, 170.20/s LR: 7.323e-05 P_Replacement: 0.49281070597677057 + +2023-08-10 08:05:04,327 - train: [ INFO] - Test: [ 0/16] Time: 1.639 (1.639) Loss: 4.2500 (4.2500) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 54.1667 (54.1667) + +2023-08-10 08:05:07,486 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.282) Loss: 3.4653 (3.7923) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (24.1500)Acc@5: 61.2500 (61.0000) + +2023-08-10 08:05:11,525 - train: [ INFO] - Train: 158 [ 0/41 ( 0%)] Loss: 0.507127 (0.5071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.146s, 38.14/s LR: 7.043e-05 P_Replacement: 0.49303900000000006 + +2023-08-10 08:05:37,181 - train: [ INFO] - Train: 158 [ 40/41 (100%)] Loss: 0.536681 (0.5551) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.84/s LR: 7.043e-05 P_Replacement: 0.5022286818096082 + +2023-08-10 08:05:39,648 - train: [ INFO] - Test: [ 0/16] Time: 1.698 (1.698) Loss: 4.4771 (4.4771) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 55.0000 (55.0000) + +2023-08-10 08:05:42,808 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.286) Loss: 3.5124 (3.8285) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (24.5000)Acc@5: 62.5000 (61.5500) + +2023-08-10 08:05:46,858 - train: [ INFO] - Train: 159 [ 0/41 ( 0%)] Loss: 0.492465 (0.4925) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.092s, 38.81/s LR: 6.768e-05 P_Replacement: 0.5024598750000001 + +2023-08-10 08:06:12,540 - train: [ INFO] - Train: 159 [ 40/41 (100%)] Loss: 0.483646 (0.5292) Acc@1: 100.0000 (99.8781) Acc@5: 100.0000 (100.0000) Time: 0.702s, 171.00/s LR: 6.768e-05 P_Replacement: 0.5117658893497629 + +2023-08-10 08:06:15,375 - train: [ INFO] - Test: [ 0/16] Time: 1.715 (1.715) Loss: 3.7463 (3.7463) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 62.5000 (62.5000) + +2023-08-10 08:06:18,534 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.287) Loss: 3.9791 (3.7122) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (24.6000)Acc@5: 53.7500 (61.3000) + +2023-08-10 08:06:23,104 - train: [ INFO] - Train: 160 [ 0/41 ( 0%)] Loss: 0.494744 (0.4947) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.203s, 37.46/s LR: 6.500e-05 P_Replacement: 0.5120000000000001 + +2023-08-10 08:06:48,930 - train: [ INFO] - Train: 160 [ 40/41 (100%)] Loss: 0.515154 (0.5277) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.708s, 169.49/s LR: 6.500e-05 P_Replacement: 0.5214230785972346 + +2023-08-10 08:06:51,645 - train: [ INFO] - Test: [ 0/16] Time: 1.663 (1.663) Loss: 4.1715 (4.1715) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 56.6667 (56.6667) + +2023-08-10 08:06:54,786 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.283) Loss: 4.0310 (3.7529) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (25.0000)Acc@5: 60.0000 (61.8500) + +2023-08-10 08:06:58,853 - train: [ INFO] - Train: 161 [ 0/41 ( 0%)] Loss: 0.567199 (0.5672) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.163s, 37.94/s LR: 6.237e-05 P_Replacement: 0.5216601250000001 + +2023-08-10 08:07:24,594 - train: [ INFO] - Train: 161 [ 40/41 (100%)] Loss: 0.511371 (0.5359) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.705s, 170.24/s LR: 6.237e-05 P_Replacement: 0.5312009995520235 + +2023-08-10 08:07:27,042 - train: [ INFO] - Test: [ 0/16] Time: 1.641 (1.641) Loss: 4.3524 (4.3524) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 55.0000 (55.0000) + +2023-08-10 08:07:30,196 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.282) Loss: 3.2723 (3.8843) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (23.7500)Acc@5: 68.7500 (60.5000) + +2023-08-10 08:07:34,631 - train: [ INFO] - Train: 162 [ 0/41 ( 0%)] Loss: 0.405684 (0.4057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.144s, 38.17/s LR: 5.980e-05 P_Replacement: 0.531441 + +2023-08-10 08:08:00,299 - train: [ INFO] - Train: 162 [ 40/41 (100%)] Loss: 0.483336 (0.5198) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.78/s LR: 5.980e-05 P_Replacement: 0.5411004022141291 + +2023-08-10 08:08:03,016 - train: [ INFO] - Test: [ 0/16] Time: 1.611 (1.611) Loss: 3.3366 (3.3366) cLoss: 0.0000 (0.0000) Acc@1: 34.1667 (34.1667)Acc@5: 70.0000 (70.0000) + +2023-08-10 08:08:06,180 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.281) Loss: 3.8544 (3.7178) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (24.5000)Acc@5: 67.5000 (62.6500) + +2023-08-10 08:08:10,111 - train: [ INFO] - Train: 163 [ 0/41 ( 0%)] Loss: 0.482069 (0.4821) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.080s, 38.97/s LR: 5.728e-05 P_Replacement: 0.5413433749999998 + +2023-08-10 08:08:35,800 - train: [ INFO] - Train: 163 [ 40/41 (100%)] Loss: 0.587347 (0.5313) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.702s, 171.03/s LR: 5.728e-05 P_Replacement: 0.5511220365835521 + +2023-08-10 08:08:38,323 - train: [ INFO] - Test: [ 0/16] Time: 1.614 (1.614) Loss: 3.7473 (3.7473) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 58.3333 (58.3333) + +2023-08-10 08:08:41,454 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.279) Loss: 3.9432 (3.7695) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (24.4500)Acc@5: 61.2500 (61.3000) + +2023-08-10 08:08:45,456 - train: [ INFO] - Train: 164 [ 0/41 ( 0%)] Loss: 0.485012 (0.4850) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.105s, 38.64/s LR: 5.483e-05 P_Replacement: 0.5513679999999999 + +2023-08-10 08:09:11,127 - train: [ INFO] - Train: 164 [ 40/41 (100%)] Loss: 0.557002 (0.5231) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.702s, 170.99/s LR: 5.483e-05 P_Replacement: 0.5612666526602921 + +2023-08-10 08:09:13,900 - train: [ INFO] - Test: [ 0/16] Time: 1.632 (1.632) Loss: 4.1276 (4.1276) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 62.5000 (62.5000) + +2023-08-10 08:09:17,059 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.282) Loss: 4.0315 (3.8414) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (24.4000)Acc@5: 60.0000 (61.1500) + +2023-08-10 08:09:21,212 - train: [ INFO] - Train: 165 [ 0/41 ( 0%)] Loss: 0.527174 (0.5272) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.162s, 37.95/s LR: 5.244e-05 P_Replacement: 0.561515625 + +2023-08-10 08:09:46,916 - train: [ INFO] - Train: 165 [ 40/41 (100%)] Loss: 0.501615 (0.5297) Acc@1: 99.1667 (99.8781) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.46/s LR: 5.244e-05 P_Replacement: 0.5715350004443492 + +2023-08-10 08:09:49,419 - train: [ INFO] - Test: [ 0/16] Time: 1.713 (1.713) Loss: 3.5780 (3.5780) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 59.1667 (59.1667) + +2023-08-10 08:09:52,579 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.287) Loss: 3.9950 (3.6489) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (24.6500)Acc@5: 56.2500 (62.1000) + +2023-08-10 08:09:56,674 - train: [ INFO] - Train: 166 [ 0/41 ( 0%)] Loss: 0.571840 (0.5718) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.191s, 37.61/s LR: 5.010e-05 P_Replacement: 0.5717869999999999 + +2023-08-10 08:10:22,452 - train: [ INFO] - Train: 166 [ 40/41 (100%)] Loss: 0.529464 (0.5254) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.707s, 169.85/s LR: 5.010e-05 P_Replacement: 0.5819278299357235 + +2023-08-10 08:10:25,264 - train: [ INFO] - Test: [ 0/16] Time: 1.680 (1.680) Loss: 3.7390 (3.7390) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 66.6667 (66.6667) + +2023-08-10 08:10:28,466 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.287) Loss: 3.3102 (3.5924) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (27.7000)Acc@5: 65.0000 (64.5500) + +2023-08-10 08:10:29,331 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-166.pth.tar', 27.700000991821287) + +2023-08-10 08:10:32,606 - train: [ INFO] - Train: 167 [ 0/41 ( 0%)] Loss: 0.534684 (0.5347) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.254s, 36.88/s LR: 4.783e-05 P_Replacement: 0.5821828749999999 + +2023-08-10 08:10:58,353 - train: [ INFO] - Train: 167 [ 40/41 (100%)] Loss: 0.502339 (0.5275) Acc@1: 100.0000 (99.8171) Acc@5: 100.0000 (100.0000) Time: 0.707s, 169.66/s LR: 4.783e-05 P_Replacement: 0.5924458911344147 + +2023-08-10 08:11:00,812 - train: [ INFO] - Test: [ 0/16] Time: 1.670 (1.670) Loss: 3.4988 (3.4988) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 67.5000 (67.5000) + +2023-08-10 08:11:03,993 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.285) Loss: 4.4028 (3.7783) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (24.9500)Acc@5: 55.0000 (61.1500) + +2023-08-10 08:11:08,063 - train: [ INFO] - Train: 168 [ 0/41 ( 0%)] Loss: 0.481411 (0.4814) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.195s, 37.56/s LR: 4.562e-05 P_Replacement: 0.5927039999999999 + +2023-08-10 08:11:33,769 - train: [ INFO] - Train: 168 [ 40/41 (100%)] Loss: 0.571712 (0.5306) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.705s, 170.25/s LR: 4.562e-05 P_Replacement: 0.603089934040423 + +2023-08-10 08:11:36,523 - train: [ INFO] - Test: [ 0/16] Time: 1.728 (1.728) Loss: 3.5047 (3.5047) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 61.6667 (61.6667) + +2023-08-10 08:11:39,664 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.286) Loss: 3.5221 (3.6801) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (26.4500)Acc@5: 62.5000 (62.7000) + +2023-08-10 08:11:44,150 - train: [ INFO] - Train: 169 [ 0/41 ( 0%)] Loss: 0.435224 (0.4352) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.231s, 37.14/s LR: 4.347e-05 P_Replacement: 0.603351125 + +2023-08-10 08:12:09,810 - train: [ INFO] - Train: 169 [ 40/41 (100%)] Loss: 0.459445 (0.5256) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.705s, 170.31/s LR: 4.347e-05 P_Replacement: 0.6138607086537484 + +2023-08-10 08:12:12,284 - train: [ INFO] - Test: [ 0/16] Time: 1.687 (1.687) Loss: 3.7626 (3.7626) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 61.6667 (61.6667) + +2023-08-10 08:12:15,433 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.284) Loss: 3.8127 (3.7258) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (25.6500)Acc@5: 57.5000 (63.4500) + +2023-08-10 08:12:19,576 - train: [ INFO] - Train: 170 [ 0/41 ( 0%)] Loss: 0.502256 (0.5023) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.261s, 36.80/s LR: 4.139e-05 P_Replacement: 0.6141249999999999 + +2023-08-10 08:12:45,270 - train: [ INFO] - Train: 170 [ 40/41 (100%)] Loss: 0.532902 (0.5279) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.706s, 169.94/s LR: 4.139e-05 P_Replacement: 0.624758964974391 + +2023-08-10 08:12:47,895 - train: [ INFO] - Test: [ 0/16] Time: 1.728 (1.728) Loss: 3.6009 (3.6009) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 69.1667 (69.1667) + +2023-08-10 08:12:51,069 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.288) Loss: 3.4172 (3.7884) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (24.1500)Acc@5: 66.2500 (62.0000) + +2023-08-10 08:12:55,039 - train: [ INFO] - Train: 171 [ 0/41 ( 0%)] Loss: 0.536827 (0.5368) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.079s, 38.98/s LR: 3.936e-05 P_Replacement: 0.6250263749999999 + +2023-08-10 08:13:20,707 - train: [ INFO] - Train: 171 [ 40/41 (100%)] Loss: 0.497312 (0.5129) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.701s, 171.18/s LR: 3.936e-05 P_Replacement: 0.6357854530023505 + +2023-08-10 08:13:23,583 - train: [ INFO] - Test: [ 0/16] Time: 1.696 (1.696) Loss: 3.8757 (3.8757) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 65.8333 (65.8333) + +2023-08-10 08:13:26,764 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.287) Loss: 3.5488 (3.6661) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (26.3000)Acc@5: 61.2500 (63.5000) + +2023-08-10 08:13:31,294 - train: [ INFO] - Train: 172 [ 0/41 ( 0%)] Loss: 0.524259 (0.5243) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.259s, 36.82/s LR: 3.741e-05 P_Replacement: 0.636056 + +2023-08-10 08:13:56,995 - train: [ INFO] - Train: 172 [ 40/41 (100%)] Loss: 0.644253 (0.4906) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.706s, 169.90/s LR: 3.741e-05 P_Replacement: 0.6469409227376272 + +2023-08-10 08:13:59,791 - train: [ INFO] - Test: [ 0/16] Time: 1.690 (1.690) Loss: 3.5184 (3.5184) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 69.1667 (69.1667) + +2023-08-10 08:14:02,956 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.286) Loss: 3.3625 (3.6806) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (27.3500)Acc@5: 66.2500 (64.0000) + +2023-08-10 08:14:07,103 - train: [ INFO] - Train: 173 [ 0/41 ( 0%)] Loss: 0.526159 (0.5262) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.260s, 36.82/s LR: 3.551e-05 P_Replacement: 0.6472146249999999 + +2023-08-10 08:14:32,932 - train: [ INFO] - Train: 173 [ 40/41 (100%)] Loss: 0.586798 (0.5159) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.709s, 169.15/s LR: 3.551e-05 P_Replacement: 0.6582261241802209 + +2023-08-10 08:14:35,836 - train: [ INFO] - Test: [ 0/16] Time: 1.731 (1.731) Loss: 3.6909 (3.6909) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 61.6667 (61.6667) + +2023-08-10 08:14:39,047 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.291) Loss: 4.3367 (3.6703) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (27.5000)Acc@5: 57.5000 (63.5500) + +2023-08-10 08:14:43,186 - train: [ INFO] - Train: 174 [ 0/41 ( 0%)] Loss: 0.542800 (0.5428) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.255s, 36.87/s LR: 3.368e-05 P_Replacement: 0.658503 + +2023-08-10 08:15:08,899 - train: [ INFO] - Train: 174 [ 40/41 (100%)] Loss: 0.496110 (0.5092) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.706s, 169.86/s LR: 3.368e-05 P_Replacement: 0.6696418073301316 + +2023-08-10 08:15:11,437 - train: [ INFO] - Test: [ 0/16] Time: 1.713 (1.713) Loss: 3.8058 (3.8058) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 58.3333 (58.3333) + +2023-08-10 08:15:14,600 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.287) Loss: 3.5074 (3.6429) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (26.7000)Acc@5: 65.0000 (63.1500) + +2023-08-10 08:15:18,776 - train: [ INFO] - Train: 175 [ 0/41 ( 0%)] Loss: 0.449087 (0.4491) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.285s, 36.53/s LR: 3.192e-05 P_Replacement: 0.669921875 + +2023-08-10 08:15:44,593 - train: [ INFO] - Train: 175 [ 40/41 (100%)] Loss: 0.535543 (0.5045) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.710s, 169.08/s LR: 3.192e-05 P_Replacement: 0.6811887221873595 + +2023-08-10 08:15:47,472 - train: [ INFO] - Test: [ 0/16] Time: 1.704 (1.704) Loss: 3.8019 (3.8019) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 63.3333 (63.3333) + +2023-08-10 08:15:50,622 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.286) Loss: 3.8867 (3.6884) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (25.6500)Acc@5: 58.7500 (62.9500) + +2023-08-10 08:15:54,800 - train: [ INFO] - Train: 176 [ 0/41 ( 0%)] Loss: 0.570449 (0.5704) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.305s, 36.31/s LR: 3.022e-05 P_Replacement: 0.681472 + +2023-08-10 08:16:20,462 - train: [ INFO] - Train: 176 [ 40/41 (100%)] Loss: 0.546112 (0.4916) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.706s, 169.86/s LR: 3.022e-05 P_Replacement: 0.6928676187519044 + +2023-08-10 08:16:23,046 - train: [ INFO] - Test: [ 0/16] Time: 1.733 (1.733) Loss: 4.1005 (4.1005) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 61.6667 (61.6667) + +2023-08-10 08:16:26,212 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.288) Loss: 2.8102 (3.6157) cLoss: 0.0000 (0.0000) Acc@1: 36.2500 (27.4000)Acc@5: 65.0000 (63.9000) + +2023-08-10 08:16:30,182 - train: [ INFO] - Train: 177 [ 0/41 ( 0%)] Loss: 0.425801 (0.4258) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.166s, 37.91/s LR: 2.859e-05 P_Replacement: 0.6931541250000001 + +2023-08-10 08:16:55,976 - train: [ INFO] - Train: 177 [ 40/41 (100%)] Loss: 0.498436 (0.4900) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.706s, 169.91/s LR: 2.859e-05 P_Replacement: 0.7046792470237664 + +2023-08-10 08:16:58,511 - train: [ INFO] - Test: [ 0/16] Time: 1.704 (1.704) Loss: 3.6906 (3.6906) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 66.6667 (66.6667) + +2023-08-10 08:17:01,670 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.286) Loss: 3.1301 (3.6369) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (25.6500)Acc@5: 70.0000 (63.0500) + +2023-08-10 08:17:06,167 - train: [ INFO] - Train: 178 [ 0/41 ( 0%)] Loss: 0.497521 (0.4975) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.259s, 36.82/s LR: 2.702e-05 P_Replacement: 0.7049690000000001 + +2023-08-10 08:17:31,942 - train: [ INFO] - Train: 178 [ 40/41 (100%)] Loss: 0.495683 (0.4842) Acc@1: 99.1667 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.708s, 169.46/s LR: 2.702e-05 P_Replacement: 0.7166243570029455 + +2023-08-10 08:17:34,562 - train: [ INFO] - Test: [ 0/16] Time: 1.710 (1.710) Loss: 3.5422 (3.5422) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 68.3333 (68.3333) + +2023-08-10 08:17:37,708 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.286) Loss: 3.9699 (3.6468) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (26.5500)Acc@5: 68.7500 (63.8500) + +2023-08-10 08:17:42,315 - train: [ INFO] - Train: 179 [ 0/41 ( 0%)] Loss: 0.528643 (0.5286) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.287s, 36.51/s LR: 2.553e-05 P_Replacement: 0.7169173750000001 + +2023-08-10 08:18:08,034 - train: [ INFO] - Train: 179 [ 40/41 (100%)] Loss: 0.477601 (0.4818) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.707s, 169.63/s LR: 2.553e-05 P_Replacement: 0.7287036986894416 + +2023-08-10 08:18:10,941 - train: [ INFO] - Test: [ 0/16] Time: 1.769 (1.769) Loss: 3.7197 (3.7197) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 59.1667 (59.1667) + +2023-08-10 08:18:14,110 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.290) Loss: 4.0824 (3.6215) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (28.3000)Acc@5: 60.0000 (62.4500) + +2023-08-10 08:18:15,420 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-179.pth.tar', 28.300001487731933) + +2023-08-10 08:18:18,656 - train: [ INFO] - Train: 180 [ 0/41 ( 0%)] Loss: 0.539887 (0.5399) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.217s, 37.30/s LR: 2.409e-05 P_Replacement: 0.7290000000000001 + +2023-08-10 08:18:44,443 - train: [ INFO] - Train: 180 [ 40/41 (100%)] Loss: 0.497930 (0.5083) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.707s, 169.64/s LR: 2.409e-05 P_Replacement: 0.7409180220832549 + +2023-08-10 08:18:47,056 - train: [ INFO] - Test: [ 0/16] Time: 1.642 (1.642) Loss: 4.0060 (4.0060) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 62.5000 (62.5000) + +2023-08-10 08:18:50,208 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.282) Loss: 3.2419 (3.6822) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (25.1500)Acc@5: 66.2500 (63.1500) + +2023-08-10 08:18:54,651 - train: [ INFO] - Train: 181 [ 0/41 ( 0%)] Loss: 0.379440 (0.3794) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.191s, 37.61/s LR: 2.273e-05 P_Replacement: 0.7412176250000001 + +2023-08-10 08:19:20,411 - train: [ INFO] - Train: 181 [ 40/41 (100%)] Loss: 0.404606 (0.5145) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.706s, 169.96/s LR: 2.273e-05 P_Replacement: 0.753268077184385 + +2023-08-10 08:19:23,224 - train: [ INFO] - Test: [ 0/16] Time: 1.724 (1.724) Loss: 3.4606 (3.4606) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 60.8333 (60.8333) + +2023-08-10 08:19:26,407 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.289) Loss: 3.5508 (3.6052) cLoss: 0.0000 (0.0000) Acc@1: 33.7500 (27.3000)Acc@5: 70.0000 (64.0000) + +2023-08-10 08:19:30,940 - train: [ INFO] - Train: 182 [ 0/41 ( 0%)] Loss: 0.443038 (0.4430) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.250s, 36.92/s LR: 2.143e-05 P_Replacement: 0.7535710000000001 + +2023-08-10 08:19:56,623 - train: [ INFO] - Train: 182 [ 40/41 (100%)] Loss: 0.563185 (0.5120) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.706s, 170.06/s LR: 2.143e-05 P_Replacement: 0.7657546139928325 + +2023-08-10 08:19:59,424 - train: [ INFO] - Test: [ 0/16] Time: 1.617 (1.617) Loss: 3.8500 (3.8500) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 56.6667 (56.6667) + +2023-08-10 08:20:02,636 - train: [ INFO] - Test: [ 16/16] Time: 0.145 (0.284) Loss: 3.6730 (3.5869) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.2000)Acc@5: 66.2500 (62.8000) + +2023-08-10 08:20:06,741 - train: [ INFO] - Train: 183 [ 0/41 ( 0%)] Loss: 0.467463 (0.4675) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.174s, 37.81/s LR: 2.021e-05 P_Replacement: 0.7660608750000001 + +2023-08-10 08:20:32,379 - train: [ INFO] - Train: 183 [ 40/41 (100%)] Loss: 0.474300 (0.5158) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.78/s LR: 2.021e-05 P_Replacement: 0.7783783825085969 + +2023-08-10 08:20:35,173 - train: [ INFO] - Test: [ 0/16] Time: 1.617 (1.617) Loss: 3.6048 (3.6048) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 55.8333 (55.8333) + +2023-08-10 08:20:38,352 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.282) Loss: 3.2642 (3.5641) cLoss: 0.0000 (0.0000) Acc@1: 33.7500 (27.7500)Acc@5: 61.2500 (64.1000) + +2023-08-10 08:20:42,395 - train: [ INFO] - Train: 184 [ 0/41 ( 0%)] Loss: 0.492819 (0.4928) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.139s, 38.23/s LR: 1.905e-05 P_Replacement: 0.778688 + +2023-08-10 08:21:08,211 - train: [ INFO] - Train: 184 [ 40/41 (100%)] Loss: 0.560830 (0.5040) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.706s, 169.93/s LR: 1.905e-05 P_Replacement: 0.7911401327316784 + +2023-08-10 08:21:10,602 - train: [ INFO] - Test: [ 0/16] Time: 1.614 (1.614) Loss: 3.2295 (3.2295) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 70.8333 (70.8333) + +2023-08-10 08:21:13,751 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.280) Loss: 3.8092 (3.5614) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (26.9000)Acc@5: 58.7500 (63.7500) + +2023-08-10 08:21:18,248 - train: [ INFO] - Train: 185 [ 0/41 ( 0%)] Loss: 0.501275 (0.5013) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.182s, 37.71/s LR: 1.796e-05 P_Replacement: 0.7914531250000001 + +2023-08-10 08:21:44,067 - train: [ INFO] - Train: 185 [ 40/41 (100%)] Loss: 0.462212 (0.4957) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.707s, 169.66/s LR: 1.796e-05 P_Replacement: 0.804040614662077 + +2023-08-10 08:21:46,513 - train: [ INFO] - Test: [ 0/16] Time: 1.653 (1.653) Loss: 3.2312 (3.2312) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 65.0000 (65.0000) + +2023-08-10 08:21:49,700 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.285) Loss: 3.5365 (3.5266) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (28.4000)Acc@5: 65.0000 (64.9500) + +2023-08-10 08:21:50,602 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-185.pth.tar', 28.400001525878906) + +2023-08-10 08:21:53,816 - train: [ INFO] - Train: 186 [ 0/41 ( 0%)] Loss: 0.500627 (0.5006) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.196s, 37.55/s LR: 1.694e-05 P_Replacement: 0.8043570000000001 + +2023-08-10 08:22:19,642 - train: [ INFO] - Train: 186 [ 40/41 (100%)] Loss: 0.401017 (0.4744) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.708s, 169.54/s LR: 1.694e-05 P_Replacement: 0.8170805782997926 + +2023-08-10 08:22:22,147 - train: [ INFO] - Test: [ 0/16] Time: 1.637 (1.637) Loss: 3.6934 (3.6934) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 60.8333 (60.8333) + +2023-08-10 08:22:25,322 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.283) Loss: 3.0976 (3.6153) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (27.6500)Acc@5: 68.7500 (64.6000) + +2023-08-10 08:22:29,851 - train: [ INFO] - Train: 187 [ 0/41 ( 0%)] Loss: 0.412336 (0.4123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.216s, 37.31/s LR: 1.598e-05 P_Replacement: 0.8174003750000002 + +2023-08-10 08:22:55,694 - train: [ INFO] - Train: 187 [ 40/41 (100%)] Loss: 0.587785 (0.5017) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.709s, 169.32/s LR: 1.598e-05 P_Replacement: 0.8302607736448251 + +2023-08-10 08:22:58,604 - train: [ INFO] - Test: [ 0/16] Time: 1.755 (1.755) Loss: 3.6639 (3.6639) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 62.5000 (62.5000) + +2023-08-10 08:23:01,777 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.290) Loss: 3.6422 (3.5312) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (28.1500)Acc@5: 70.0000 (64.4500) + +2023-08-10 08:23:06,314 - train: [ INFO] - Train: 188 [ 0/41 ( 0%)] Loss: 0.404201 (0.4042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.237s, 37.08/s LR: 1.510e-05 P_Replacement: 0.8305839999999999 + +2023-08-10 08:23:32,063 - train: [ INFO] - Train: 188 [ 40/41 (100%)] Loss: 0.441600 (0.4815) Acc@1: 100.0000 (99.8781) Acc@5: 100.0000 (100.0000) Time: 0.707s, 169.76/s LR: 1.510e-05 P_Replacement: 0.8435819506971749 + +2023-08-10 08:23:34,856 - train: [ INFO] - Test: [ 0/16] Time: 1.587 (1.587) Loss: 3.6802 (3.6802) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 62.5000 (62.5000) + +2023-08-10 08:23:38,019 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.279) Loss: 3.6892 (3.5516) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (28.3000)Acc@5: 58.7500 (64.1500) + +2023-08-10 08:23:42,038 - train: [ INFO] - Train: 189 [ 0/41 ( 0%)] Loss: 0.505362 (0.5054) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.143s, 38.18/s LR: 1.429e-05 P_Replacement: 0.8439086249999999 + +2023-08-10 08:24:07,826 - train: [ INFO] - Train: 189 [ 40/41 (100%)] Loss: 0.472455 (0.4867) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.706s, 170.07/s LR: 1.429e-05 P_Replacement: 0.8570448594568417 + +2023-08-10 08:24:10,608 - train: [ INFO] - Test: [ 0/16] Time: 1.610 (1.610) Loss: 3.4983 (3.4983) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 66.6667 (66.6667) + +2023-08-10 08:24:13,770 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.281) Loss: 3.7210 (3.5530) cLoss: 0.0000 (0.0000) Acc@1: 35.0000 (28.5500)Acc@5: 62.5000 (64.3500) + +2023-08-10 08:24:14,643 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-189.pth.tar', 28.550001487731933) + +2023-08-10 08:24:17,869 - train: [ INFO] - Train: 190 [ 0/41 ( 0%)] Loss: 0.524770 (0.5248) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.208s, 37.41/s LR: 1.355e-05 P_Replacement: 0.8573749999999999 + +2023-08-10 08:24:43,553 - train: [ INFO] - Train: 190 [ 40/41 (100%)] Loss: 0.477372 (0.4807) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.705s, 170.30/s LR: 1.355e-05 P_Replacement: 0.8706502499238257 + +2023-08-10 08:24:46,000 - train: [ INFO] - Test: [ 0/16] Time: 1.616 (1.616) Loss: 3.1746 (3.1746) cLoss: 0.0000 (0.0000) Acc@1: 35.0000 (35.0000)Acc@5: 70.0000 (70.0000) + +2023-08-10 08:24:49,211 - train: [ INFO] - Test: [ 16/16] Time: 0.144 (0.284) Loss: 3.4722 (3.5114) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (29.0500)Acc@5: 66.2500 (64.6000) + +2023-08-10 08:24:50,512 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-190.pth.tar', 29.050001525878905) + +2023-08-10 08:24:53,646 - train: [ INFO] - Train: 191 [ 0/41 ( 0%)] Loss: 0.483154 (0.4832) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.115s, 38.52/s LR: 1.287e-05 P_Replacement: 0.8709838749999999 + +2023-08-10 08:25:19,375 - train: [ INFO] - Train: 191 [ 40/41 (100%)] Loss: 0.429518 (0.4776) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.703s, 170.59/s LR: 1.287e-05 P_Replacement: 0.8843988720981267 + +2023-08-10 08:25:21,881 - train: [ INFO] - Test: [ 0/16] Time: 1.636 (1.636) Loss: 3.1291 (3.1291) cLoss: 0.0000 (0.0000) Acc@1: 33.3333 (33.3333)Acc@5: 69.1667 (69.1667) + +2023-08-10 08:25:25,069 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.284) Loss: 2.7577 (3.4800) cLoss: 0.0000 (0.0000) Acc@1: 37.5000 (28.6000)Acc@5: 73.7500 (65.3000) + +2023-08-10 08:25:29,106 - train: [ INFO] - Train: 192 [ 0/41 ( 0%)] Loss: 0.442860 (0.4429) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.203s, 37.47/s LR: 1.227e-05 P_Replacement: 0.8847359999999999 + +2023-08-10 08:25:55,015 - train: [ INFO] - Train: 192 [ 40/41 (100%)] Loss: 0.497460 (0.4737) Acc@1: 99.1667 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.710s, 169.02/s LR: 1.227e-05 P_Replacement: 0.8982914759797448 + +2023-08-10 08:25:57,790 - train: [ INFO] - Test: [ 0/16] Time: 1.646 (1.646) Loss: 3.4862 (3.4862) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 65.0000 (65.0000) + +2023-08-10 08:26:00,952 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.283) Loss: 3.4523 (3.5015) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (29.0000)Acc@5: 66.2500 (64.9500) + +2023-08-10 08:26:05,381 - train: [ INFO] - Train: 193 [ 0/41 ( 0%)] Loss: 0.585745 (0.5857) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.165s, 37.92/s LR: 1.174e-05 P_Replacement: 0.8986321249999999 + +2023-08-10 08:26:31,256 - train: [ INFO] - Train: 193 [ 40/41 (100%)] Loss: 0.425228 (0.4649) Acc@1: 100.0000 (99.8781) Acc@5: 100.0000 (100.0000) Time: 0.708s, 169.43/s LR: 1.174e-05 P_Replacement: 0.91232881156868 + +2023-08-10 08:26:33,753 - train: [ INFO] - Test: [ 0/16] Time: 1.637 (1.637) Loss: 3.6338 (3.6338) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 64.1667 (64.1667) + +2023-08-10 08:26:36,919 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.283) Loss: 3.1134 (3.4835) cLoss: 0.0000 (0.0000) Acc@1: 33.7500 (29.1000)Acc@5: 68.7500 (64.5500) + +2023-08-10 08:26:37,816 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-193.pth.tar', 29.100001373291015) + +2023-08-10 08:26:40,971 - train: [ INFO] - Train: 194 [ 0/41 ( 0%)] Loss: 0.535195 (0.5352) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.137s, 38.25/s LR: 1.128e-05 P_Replacement: 0.912673 + +2023-08-10 08:27:06,681 - train: [ INFO] - Train: 194 [ 40/41 (100%)] Loss: 0.444188 (0.4562) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.704s, 170.57/s LR: 1.128e-05 P_Replacement: 0.9265116288649322 + +2023-08-10 08:27:09,452 - train: [ INFO] - Test: [ 0/16] Time: 1.696 (1.696) Loss: 3.4181 (3.4181) cLoss: 0.0000 (0.0000) Acc@1: 34.1667 (34.1667)Acc@5: 63.3333 (63.3333) + +2023-08-10 08:27:12,614 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.286) Loss: 3.2637 (3.5157) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (28.5000)Acc@5: 68.7500 (65.7500) + +2023-08-10 08:27:17,136 - train: [ INFO] - Train: 195 [ 0/41 ( 0%)] Loss: 0.511942 (0.5119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.243s, 37.01/s LR: 1.089e-05 P_Replacement: 0.9268593749999999 + +2023-08-10 08:27:42,882 - train: [ INFO] - Train: 195 [ 40/41 (100%)] Loss: 0.473049 (0.4632) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.707s, 169.73/s LR: 1.089e-05 P_Replacement: 0.9408406778685016 + +2023-08-10 08:27:45,637 - train: [ INFO] - Test: [ 0/16] Time: 1.687 (1.687) Loss: 3.5832 (3.5832) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 63.3333 (63.3333) + +2023-08-10 08:27:48,784 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.284) Loss: 3.7175 (3.4571) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (28.9500)Acc@5: 62.5000 (65.5500) + +2023-08-10 08:27:52,974 - train: [ INFO] - Train: 196 [ 0/41 ( 0%)] Loss: 0.429819 (0.4298) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.297s, 36.40/s LR: 1.057e-05 P_Replacement: 0.9411919999999999 + +2023-08-10 08:28:18,679 - train: [ INFO] - Train: 196 [ 40/41 (100%)] Loss: 0.432377 (0.4333) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.707s, 169.66/s LR: 1.057e-05 P_Replacement: 0.955316708579388 + +2023-08-10 08:28:21,336 - train: [ INFO] - Test: [ 0/16] Time: 1.658 (1.658) Loss: 3.8411 (3.8411) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 57.5000 (57.5000) + +2023-08-10 08:28:24,489 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.283) Loss: 3.6740 (3.4566) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (28.9500)Acc@5: 61.2500 (65.5000) + +2023-08-10 08:28:28,518 - train: [ INFO] - Train: 197 [ 0/41 ( 0%)] Loss: 0.395501 (0.3955) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.160s, 37.97/s LR: 1.032e-05 P_Replacement: 0.9556716249999999 + +2023-08-10 08:28:54,318 - train: [ INFO] - Train: 197 [ 40/41 (100%)] Loss: 0.400490 (0.4249) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.706s, 169.91/s LR: 1.032e-05 P_Replacement: 0.9699404709975914 + +2023-08-10 08:28:56,799 - train: [ INFO] - Test: [ 0/16] Time: 1.611 (1.611) Loss: 3.3115 (3.3115) cLoss: 0.0000 (0.0000) Acc@1: 34.1667 (34.1667)Acc@5: 65.8333 (65.8333) + +2023-08-10 08:28:59,944 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.280) Loss: 3.6346 (3.5072) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (28.7500)Acc@5: 61.2500 (64.8500) + +2023-08-10 08:29:04,146 - train: [ INFO] - Train: 198 [ 0/41 ( 0%)] Loss: 0.384002 (0.3840) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.300s, 36.36/s LR: 1.014e-05 P_Replacement: 0.970299 + +2023-08-10 08:29:29,903 - train: [ INFO] - Train: 198 [ 40/41 (100%)] Loss: 0.445110 (0.4071) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.709s, 169.33/s LR: 1.014e-05 P_Replacement: 0.984712715123112 + +2023-08-10 08:29:32,722 - train: [ INFO] - Test: [ 0/16] Time: 1.675 (1.675) Loss: 3.5266 (3.5266) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 65.0000 (65.0000) + +2023-08-10 08:29:35,862 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.283) Loss: 3.0816 (3.5640) cLoss: 0.0000 (0.0000) Acc@1: 35.0000 (28.2000)Acc@5: 68.7500 (64.8500) + +2023-08-10 08:29:40,387 - train: [ INFO] - Train: 199 [ 0/41 ( 0%)] Loss: 0.376126 (0.3761) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.207s, 37.42/s LR: 1.004e-05 P_Replacement: 0.985074875 + +2023-08-10 08:30:06,100 - train: [ INFO] - Train: 199 [ 40/41 (100%)] Loss: 0.318845 (0.3623) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.705s, 170.14/s LR: 1.004e-05 P_Replacement: 0.9996341909559495 + +2023-08-10 08:30:08,609 - train: [ INFO] - Test: [ 0/16] Time: 1.595 (1.595) Loss: 3.1789 (3.1789) cLoss: 0.0000 (0.0000) Acc@1: 37.5000 (37.5000)Acc@5: 68.3333 (68.3333) + +2023-08-10 08:30:11,738 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.278) Loss: 3.1878 (3.4932) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (29.9500)Acc@5: 72.5000 (65.1500) + +2023-08-10 08:30:13,054 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-199.pth.tar', 29.950001182556154) + +2023-08-10 08:30:13,073 - train: [ INFO] - *** Best metric: 29.950001182556154 (epoch 199) diff --git 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a/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/args.yaml b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/args.yaml new file mode 100644 index 0000000000000000000000000000000000000000..24bcb8bec27447d194a5d981fe6e5462350b2eb2 --- /dev/null +++ b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/args.yaml @@ -0,0 +1,148 @@ +DVS_DA: true +TET_loss: true +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptive_node: false +amp: false +apex_amp: false +aug_splits: 0 +batch_size: 120 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cut_mix: false +cutmix: 1.0 +cutmix_beta: 1.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +decay_epochs: 30 +decay_rate: 0.1 +device: 3 +dist_bn: '' +domain_loss: true +domain_loss_coefficient: 0.5 +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +encode: direct +epochs: 200 +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: '' +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: 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 +min_lr: 1.0e-05 +mix_up: false +mixup: 0.8 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 1.0 +mixup_switch_prob: 0.5 +model: Transfer_ResNet18 +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_groups: 1 +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +no_sliding_training: false +no_use_hsv: false +node_resume: '' +node_trainable: false +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 20 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: /home/hexiang/DomainAdaptation_DVS/Results2/ +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +regularization: true +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +rgbdata_ratio: 1.0 +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 90210 +sigmoid_thres: false +smoothing: 0.0 +snr: 0 +source_dataset: RGBCEPDVS +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 6 +suffix: '' +sync_bn: false +target_dataset: CEPDVS +tau: 2.0 +temporal_flatten: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.5 +traindata_ratio: 1.0 +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: 0.01 +workers: 8 diff --git a/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/log.txt b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..311c61cc0b227014a02ae4a73aafafce9c49679e --- /dev/null +++ b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/log.txt @@ -0,0 +1,1732 @@ +2023-08-10 16:44:39,017 - train: [ INFO] - Training with a single process on 1 GPUs. +2023-08-10 16:44:39,155 - train: [ INFO] - learning rate is 0.000586 +2023-08-10 16:44:39,156 - train: [ INFO] - Model Transfer_ResNet18 created, param count: 11187924 +2023-08-10 16:44:48,025 - train: [ INFO] - AMP not enabled. Training in float32. +2023-08-10 16:44:48,026 - train: [ INFO] - Scheduled epochs: 210 +2023-08-10 16:46:04,767 - train: [ INFO] - Train: 0 [ 0/41 ( 0%)] Loss: 3.939645 (3.9396) Acc@1: 7.5000 ( 7.5000) Acc@5: 21.6667 (21.6667) Time: 26.356s, 4.55/s LR: 1.000e-06 P_Replacement: 0.0 + +2023-08-10 16:46:31,158 - train: [ INFO] - Train: 0 [ 40/41 (100%)] Loss: 3.924479 (3.9261) Acc@1: 5.8333 ( 5.2236) Acc@5: 35.0000 (25.4878) Time: 1.286s, 93.28/s LR: 1.000e-06 P_Replacement: 1.1607492636496859e-07 + +2023-08-10 16:46:35,362 - train: [ INFO] - Test: [ 0/16] Time: 2.344 (2.344) Loss: 2.9988 (2.9988) cLoss: 0.0000 (0.0000) Acc@1: 4.1667 ( 4.1667)Acc@5: 26.6667 (26.6667) + +2023-08-10 16:46:39,444 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.378) Loss: 3.0001 (2.9975) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 4.7500)Acc@5: 27.5000 (26.6000) + +2023-08-10 16:46:41,141 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-0.pth.tar', 4.75000027179718) + +2023-08-10 16:46:46,160 - train: [ INFO] - Train: 1 [ 0/41 ( 0%)] Loss: 3.925673 (3.9257) Acc@1: 7.5000 ( 7.5000) Acc@5: 34.1667 (34.1667) Time: 5.018s, 23.92/s LR: 1.180e-04 P_Replacement: 1.2500000000000002e-07 + +2023-08-10 16:47:12,508 - train: [ INFO] - Train: 1 [ 40/41 (100%)] Loss: 3.888463 (3.8952) Acc@1: 4.1667 ( 7.1341) Acc@5: 22.5000 (28.3333) Time: 0.765s, 156.87/s LR: 1.180e-04 P_Replacement: 9.638589834738323e-07 + +2023-08-10 16:47:16,922 - train: [ INFO] - Test: [ 0/16] Time: 2.432 (2.432) Loss: 2.9974 (2.9974) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 25.8333 (25.8333) + +2023-08-10 16:47:20,846 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.374) Loss: 2.9932 (2.9965) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 5.8500)Acc@5: 23.7500 (26.8500) + +2023-08-10 16:47:22,317 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-1.pth.tar', 5.850000309944153) + +2023-08-10 16:47:26,968 - train: [ INFO] - Train: 2 [ 0/41 ( 0%)] Loss: 3.892616 (3.8926) Acc@1: 6.6667 ( 6.6667) Acc@5: 32.5000 (32.5000) Time: 4.646s, 25.83/s LR: 2.350e-04 P_Replacement: 1.0000000000000002e-06 + +2023-08-10 16:47:53,713 - train: [ INFO] - Train: 2 [ 40/41 (100%)] Loss: 3.884604 (3.8836) Acc@1: 5.8333 ( 8.5569) Acc@5: 30.8333 (32.1138) Time: 0.766s, 156.74/s LR: 2.350e-04 P_Replacement: 3.2933503576558664e-06 + +2023-08-10 16:47:57,297 - train: [ INFO] - Test: [ 0/16] Time: 2.241 (2.241) Loss: 2.9919 (2.9919) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 29.1667 (29.1667) + +2023-08-10 16:48:01,113 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.356) Loss: 2.9926 (2.9974) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 5.1500)Acc@5: 36.2500 (25.7000) + +2023-08-10 16:48:07,271 - train: [ INFO] - Train: 3 [ 0/41 ( 0%)] Loss: 3.886580 (3.8866) Acc@1: 10.8333 (10.8333) Acc@5: 35.8333 (35.8333) Time: 4.657s, 25.77/s LR: 3.520e-04 P_Replacement: 3.3749999999999995e-06 + +2023-08-10 16:48:33,826 - train: [ INFO] - Train: 3 [ 40/41 (100%)] Loss: 3.870021 (3.8762) Acc@1: 10.8333 ( 9.5325) Acc@5: 38.3333 (33.4756) Time: 0.761s, 157.65/s LR: 3.520e-04 P_Replacement: 7.854549048911072e-06 + +2023-08-10 16:48:37,810 - train: [ INFO] - Test: [ 0/16] Time: 2.268 (2.268) Loss: 2.9975 (2.9975) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 30.8333 (30.8333) + +2023-08-10 16:48:41,637 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.359) Loss: 3.0077 (3.0023) cLoss: 0.0000 (0.0000) Acc@1: 3.7500 ( 5.3500)Acc@5: 21.2500 (23.6500) + +2023-08-10 16:48:47,375 - train: [ INFO] - Train: 4 [ 0/41 ( 0%)] Loss: 3.865924 (3.8659) Acc@1: 9.1667 ( 9.1667) Acc@5: 36.6667 (36.6667) Time: 4.135s, 29.02/s LR: 4.689e-04 P_Replacement: 8.000000000000001e-06 + +2023-08-10 16:49:13,465 - train: [ INFO] - Train: 4 [ 40/41 (100%)] Loss: 3.859112 (3.8646) Acc@1: 10.0000 ( 9.2480) Acc@5: 36.6667 (33.7602) Time: 0.737s, 162.79/s LR: 4.689e-04 P_Replacement: 1.539745505723945e-05 + +2023-08-10 16:49:17,157 - train: [ INFO] - Test: [ 0/16] Time: 2.219 (2.219) Loss: 3.0173 (3.0173) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 15.8333 (15.8333) + +2023-08-10 16:49:21,053 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.360) Loss: 3.0292 (3.0010) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.6500)Acc@5: 18.7500 (25.5500) + +2023-08-10 16:49:27,628 - train: [ INFO] - Train: 5 [ 0/41 ( 0%)] Loss: 3.867460 (3.8675) Acc@1: 13.3333 (13.3333) Acc@5: 37.5000 (37.5000) Time: 4.507s, 26.63/s LR: 5.850e-04 P_Replacement: 1.5625000000000004e-05 + +2023-08-10 16:49:53,634 - train: [ INFO] - Train: 5 [ 40/41 (100%)] Loss: 3.836225 (3.8462) Acc@1: 8.3333 ( 9.3902) Acc@5: 30.8333 (34.9797) Time: 0.744s, 161.26/s LR: 5.850e-04 P_Replacement: 2.6672068382640992e-05 + +2023-08-10 16:49:58,011 - train: [ INFO] - Test: [ 0/16] Time: 2.329 (2.329) Loss: 2.9988 (2.9988) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 28.3333 (28.3333) + +2023-08-10 16:50:01,592 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.348) Loss: 2.9884 (2.9960) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 6.1500)Acc@5: 30.0000 (26.0000) + +2023-08-10 16:50:03,567 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-5.pth.tar', 6.150000319480896) + +2023-08-10 16:50:07,895 - train: [ INFO] - Train: 6 [ 0/41 ( 0%)] Loss: 3.839634 (3.8396) Acc@1: 5.8333 ( 5.8333) Acc@5: 30.0000 (30.0000) Time: 4.319s, 27.79/s LR: 5.847e-04 P_Replacement: 2.6999999999999996e-05 + +2023-08-10 16:50:34,148 - train: [ INFO] - Train: 6 [ 40/41 (100%)] Loss: 3.811510 (3.8202) Acc@1: 5.0000 ( 9.5528) Acc@5: 37.5000 (36.6667) Time: 0.746s, 160.94/s LR: 5.847e-04 P_Replacement: 4.2428389025115725e-05 + +2023-08-10 16:50:38,042 - train: [ INFO] - Test: [ 0/16] Time: 2.172 (2.172) Loss: 2.9985 (2.9985) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 25.8333 (25.8333) + +2023-08-10 16:50:42,025 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.362) Loss: 2.9901 (2.9895) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 ( 5.8500)Acc@5: 27.5000 (26.0500) + +2023-08-10 16:50:49,257 - train: [ INFO] - Train: 7 [ 0/41 ( 0%)] Loss: 3.805853 (3.8059) Acc@1: 8.3333 ( 8.3333) Acc@5: 43.3333 (43.3333) Time: 5.842s, 20.54/s LR: 5.842e-04 P_Replacement: 4.287500000000001e-05 + +2023-08-10 16:51:15,306 - train: [ INFO] - Train: 7 [ 40/41 (100%)] Loss: 3.771162 (3.7969) Acc@1: 11.6667 (10.1016) Acc@5: 35.8333 (38.2520) Time: 0.778s, 154.29/s LR: 5.842e-04 P_Replacement: 6.34164169846636e-05 + +2023-08-10 16:51:20,342 - train: [ INFO] - Test: [ 0/16] Time: 3.085 (3.085) Loss: 2.9814 (2.9814) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 ( 7.5000)Acc@5: 28.3333 (28.3333) + +2023-08-10 16:51:23,940 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.393) Loss: 3.0104 (3.0086) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 5.9500)Acc@5: 21.2500 (26.1000) + +2023-08-10 16:51:31,254 - train: [ INFO] - Train: 8 [ 0/41 ( 0%)] Loss: 3.781788 (3.7818) Acc@1: 13.3333 (13.3333) Acc@5: 45.0000 (45.0000) Time: 5.305s, 22.62/s LR: 5.837e-04 P_Replacement: 6.400000000000001e-05 + +2023-08-10 16:51:57,174 - train: [ INFO] - Train: 8 [ 40/41 (100%)] Loss: 3.727245 (3.7583) Acc@1: 15.0000 (10.9350) Acc@5: 50.0000 (40.0000) Time: 0.762s, 157.58/s LR: 5.837e-04 P_Replacement: 9.038615226128465e-05 + +2023-08-10 16:52:02,432 - train: [ INFO] - Test: [ 0/16] Time: 3.280 (3.280) Loss: 2.9690 (2.9690) cLoss: 0.0000 (0.0000) Acc@1: 6.6667 ( 6.6667)Acc@5: 30.0000 (30.0000) + +2023-08-10 16:52:06,174 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.413) Loss: 2.9954 (2.9813) cLoss: 0.0000 (0.0000) Acc@1: 1.2500 ( 6.3500)Acc@5: 25.0000 (29.8500) + +2023-08-10 16:52:08,185 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-8.pth.tar', 6.350000457763672) + +2023-08-10 16:52:14,355 - train: [ INFO] - Train: 9 [ 0/41 ( 0%)] Loss: 3.720069 (3.7201) Acc@1: 15.0000 (15.0000) Acc@5: 39.1667 (39.1667) Time: 6.158s, 19.49/s LR: 5.831e-04 P_Replacement: 9.112499999999999e-05 + +2023-08-10 16:52:40,506 - train: [ INFO] - Train: 9 [ 40/41 (100%)] Loss: 3.623199 (3.7034) Acc@1: 19.1667 (11.2602) Acc@5: 55.8333 (41.4837) Time: 0.788s, 152.29/s LR: 5.831e-04 P_Replacement: 0.0001240875948549789 + +2023-08-10 16:52:45,065 - train: [ INFO] - Test: [ 0/16] Time: 3.344 (3.344) Loss: 2.9890 (2.9890) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 28.3333 (28.3333) + +2023-08-10 16:52:48,437 - train: [ INFO] - Test: [ 16/16] Time: 0.151 (0.395) Loss: 2.9407 (3.0003) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 ( 6.4500)Acc@5: 32.5000 (30.1000) + +2023-08-10 16:52:50,385 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-9.pth.tar', 6.450000357627869) + +2023-08-10 16:52:54,970 - train: [ INFO] - Train: 10 [ 0/41 ( 0%)] Loss: 3.605053 (3.6051) Acc@1: 13.3333 (13.3333) Acc@5: 42.5000 (42.5000) Time: 4.560s, 26.31/s LR: 5.824e-04 P_Replacement: 0.00012500000000000003 + +2023-08-10 16:53:21,204 - train: [ INFO] - Train: 10 [ 40/41 (100%)] Loss: 3.593009 (3.6162) Acc@1: 16.6667 (11.7480) Acc@5: 48.3333 (43.1301) Time: 0.751s, 159.78/s LR: 5.824e-04 P_Replacement: 0.0001652707447657463 + +2023-08-10 16:53:25,172 - train: [ INFO] - Test: [ 0/16] Time: 2.471 (2.471) Loss: 2.9765 (2.9765) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 28.3333 (28.3333) + +2023-08-10 16:53:28,741 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.355) Loss: 2.9826 (2.9556) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 6.0500)Acc@5: 31.2500 (32.0000) + +2023-08-10 16:53:35,017 - train: [ INFO] - Train: 11 [ 0/41 ( 0%)] Loss: 3.499502 (3.4995) Acc@1: 18.3333 (18.3333) Acc@5: 49.1667 (49.1667) Time: 4.851s, 24.74/s LR: 5.816e-04 P_Replacement: 0.000166375 + +2023-08-10 16:54:01,282 - train: [ INFO] - Train: 11 [ 40/41 (100%)] Loss: 3.358840 (3.4753) Acc@1: 16.6667 (11.7480) Acc@5: 55.0000 (43.3130) Time: 0.759s, 158.15/s LR: 5.816e-04 P_Replacement: 0.00021468560199358684 + +2023-08-10 16:54:05,930 - train: [ INFO] - Test: [ 0/16] Time: 2.666 (2.666) Loss: 3.1756 (3.1756) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 5.0000)Acc@5: 22.5000 (22.5000) + +2023-08-10 16:54:09,402 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.361) Loss: 3.2150 (3.1162) cLoss: 0.0000 (0.0000) Acc@1: 6.2500 ( 6.4500)Acc@5: 23.7500 (27.2000) + +2023-08-10 16:54:10,999 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-11.pth.tar', 6.4500003957748415) + +2023-08-10 16:54:16,827 - train: [ INFO] - Train: 12 [ 0/41 ( 0%)] Loss: 3.311482 (3.3115) Acc@1: 14.1667 (14.1667) Acc@5: 43.3333 (43.3333) Time: 5.804s, 20.68/s LR: 5.808e-04 P_Replacement: 0.00021599999999999996 + +2023-08-10 16:54:43,291 - train: [ INFO] - Train: 12 [ 40/41 (100%)] Loss: 3.239525 (3.2227) Acc@1: 14.1667 (13.5976) Acc@5: 46.6667 (43.9024) Time: 0.787s, 152.48/s LR: 5.808e-04 P_Replacement: 0.0002730821665385006 + +2023-08-10 16:54:47,439 - train: [ INFO] - Test: [ 0/16] Time: 2.256 (2.256) Loss: 3.0308 (3.0308) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 38.3333 (38.3333) + +2023-08-10 16:54:51,220 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.355) Loss: 3.0563 (3.0072) cLoss: 0.0000 (0.0000) Acc@1: 5.0000 ( 8.2500)Acc@5: 32.5000 (33.8500) + +2023-08-10 16:54:52,472 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-12.pth.tar', 8.25000044822693) + +2023-08-10 16:54:56,855 - train: [ INFO] - Train: 13 [ 0/41 ( 0%)] Loss: 3.379040 (3.3790) Acc@1: 10.0000 (10.0000) Acc@5: 46.6667 (46.6667) Time: 4.344s, 27.62/s LR: 5.800e-04 P_Replacement: 0.000274625 + +2023-08-10 16:55:23,068 - train: [ INFO] - Train: 13 [ 40/41 (100%)] Loss: 2.650354 (2.8678) Acc@1: 12.5000 (14.2480) Acc@5: 32.5000 (45.9959) Time: 0.745s, 161.02/s LR: 5.800e-04 P_Replacement: 0.0003412104384004876 + +2023-08-10 16:55:27,424 - train: [ INFO] - Test: [ 0/16] Time: 2.402 (2.402) Loss: 2.8245 (2.8245) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 42.5000 (42.5000) + +2023-08-10 16:55:31,038 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.354) Loss: 2.9144 (2.9170) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 ( 9.9000)Acc@5: 38.7500 (37.1000) + +2023-08-10 16:55:32,868 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-13.pth.tar', 9.900000419616699) + +2023-08-10 16:55:37,309 - train: [ INFO] - Train: 14 [ 0/41 ( 0%)] Loss: 2.696371 (2.6964) Acc@1: 14.1667 (14.1667) Acc@5: 46.6667 (46.6667) Time: 4.418s, 27.16/s LR: 5.790e-04 P_Replacement: 0.0003430000000000001 + +2023-08-10 16:56:03,700 - train: [ INFO] - Train: 14 [ 40/41 (100%)] Loss: 2.316120 (2.4403) Acc@1: 12.5000 (14.3902) Acc@5: 50.0000 (45.8943) Time: 0.751s, 159.71/s LR: 5.790e-04 P_Replacement: 0.00041982041757954755 + +2023-08-10 16:56:07,654 - train: [ INFO] - Test: [ 0/16] Time: 2.198 (2.198) Loss: 2.8989 (2.8989) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 36.6667 (36.6667) + +2023-08-10 16:56:11,525 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.357) Loss: 2.9432 (2.8687) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 (12.1500)Acc@5: 36.2500 (42.1000) + +2023-08-10 16:56:12,931 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-14.pth.tar', 12.15000051498413) + +2023-08-10 16:56:17,203 - train: [ INFO] - Train: 15 [ 0/41 ( 0%)] Loss: 2.079296 (2.0793) Acc@1: 15.0000 (15.0000) Acc@5: 50.0000 (50.0000) Time: 4.254s, 28.21/s LR: 5.780e-04 P_Replacement: 0.00042187499999999994 + +2023-08-10 16:56:43,394 - train: [ INFO] - Train: 15 [ 40/41 (100%)] Loss: 1.905435 (2.0083) Acc@1: 20.0000 (14.6545) Acc@5: 47.5000 (45.6301) Time: 0.743s, 161.62/s LR: 5.780e-04 P_Replacement: 0.0005096621040756809 + +2023-08-10 16:56:47,758 - train: [ INFO] - Test: [ 0/16] Time: 2.330 (2.330) Loss: 2.8229 (2.8229) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 42.5000 (42.5000) + +2023-08-10 16:56:51,142 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.336) Loss: 2.8824 (2.8733) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (11.4500)Acc@5: 38.7500 (41.2000) + +2023-08-10 16:56:57,053 - train: [ INFO] - Train: 16 [ 0/41 ( 0%)] Loss: 1.832070 (1.8321) Acc@1: 13.3333 (13.3333) Acc@5: 45.8333 (45.8333) Time: 4.189s, 28.65/s LR: 5.769e-04 P_Replacement: 0.0005120000000000001 + +2023-08-10 16:57:23,051 - train: [ INFO] - Train: 16 [ 40/41 (100%)] Loss: 1.520632 (1.6875) Acc@1: 18.3333 (15.2439) Acc@5: 55.0000 (47.7236) Time: 0.736s, 163.02/s LR: 5.769e-04 P_Replacement: 0.0006114854978888874 + +2023-08-10 16:57:27,038 - train: [ INFO] - Test: [ 0/16] Time: 2.394 (2.394) Loss: 2.8059 (2.8059) cLoss: 0.0000 (0.0000) Acc@1: 5.8333 ( 5.8333)Acc@5: 45.0000 (45.0000) + +2023-08-10 16:57:30,629 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.352) Loss: 2.9379 (2.8724) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (11.3500)Acc@5: 31.2500 (40.9000) + +2023-08-10 16:57:37,434 - train: [ INFO] - Train: 17 [ 0/41 ( 0%)] Loss: 1.480938 (1.4809) Acc@1: 14.1667 (14.1667) Acc@5: 51.6667 (51.6667) Time: 4.595s, 26.12/s LR: 5.757e-04 P_Replacement: 0.0006141250000000001 + +2023-08-10 16:58:03,407 - train: [ INFO] - Train: 17 [ 40/41 (100%)] Loss: 1.302879 (1.4112) Acc@1: 20.0000 (15.8943) Acc@5: 53.3333 (49.2276) Time: 0.745s, 160.97/s LR: 5.757e-04 P_Replacement: 0.0007260405990191668 + +2023-08-10 16:58:07,824 - train: [ INFO] - Test: [ 0/16] Time: 2.730 (2.730) Loss: 2.8971 (2.8971) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 41.6667 (41.6667) + +2023-08-10 16:58:11,372 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.369) Loss: 2.8081 (2.8646) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (12.2500)Acc@5: 51.2500 (42.2500) + +2023-08-10 16:58:13,410 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-17.pth.tar', 12.250000686645508) + +2023-08-10 16:58:17,978 - train: [ INFO] - Train: 18 [ 0/41 ( 0%)] Loss: 1.284687 (1.2847) Acc@1: 16.6667 (16.6667) Acc@5: 47.5000 (47.5000) Time: 4.538s, 26.45/s LR: 5.745e-04 P_Replacement: 0.0007289999999999999 + +2023-08-10 16:58:44,159 - train: [ INFO] - Train: 18 [ 40/41 (100%)] Loss: 1.311000 (1.2356) Acc@1: 16.6667 (16.8089) Acc@5: 55.0000 (48.5772) Time: 0.749s, 160.18/s LR: 5.745e-04 P_Replacement: 0.0008540774074665197 + +2023-08-10 16:58:48,139 - train: [ INFO] - Test: [ 0/16] Time: 2.298 (2.298) Loss: 2.7684 (2.7684) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 43.3333 (43.3333) + +2023-08-10 16:58:51,562 - train: [ INFO] - Test: [ 16/16] Time: 0.247 (0.337) Loss: 2.6943 (2.8186) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (14.1500)Acc@5: 55.0000 (45.0500) + +2023-08-10 16:58:53,082 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-18.pth.tar', 14.15000072479248) + +2023-08-10 16:58:57,762 - train: [ INFO] - Train: 19 [ 0/41 ( 0%)] Loss: 1.199873 (1.1999) Acc@1: 17.5000 (17.5000) Acc@5: 40.8333 (40.8333) Time: 4.654s, 25.78/s LR: 5.732e-04 P_Replacement: 0.0008573750000000001 + +2023-08-10 16:59:24,073 - train: [ INFO] - Train: 19 [ 40/41 (100%)] Loss: 1.152183 (1.1287) Acc@1: 20.0000 (17.4187) Acc@5: 50.8333 (49.8984) Time: 0.755s, 158.90/s LR: 5.732e-04 P_Replacement: 0.0009963459232309457 + +2023-08-10 16:59:28,528 - train: [ INFO] - Test: [ 0/16] Time: 3.154 (3.154) Loss: 2.8139 (2.8139) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 45.8333 (45.8333) + +2023-08-10 16:59:32,102 - train: [ INFO] - Test: [ 16/16] Time: 0.214 (0.396) Loss: 2.7949 (2.8255) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.3500)Acc@5: 48.7500 (45.4500) + +2023-08-10 16:59:38,224 - train: [ INFO] - Train: 20 [ 0/41 ( 0%)] Loss: 1.092536 (1.0925) Acc@1: 22.5000 (22.5000) Acc@5: 48.3333 (48.3333) Time: 4.647s, 25.82/s LR: 5.718e-04 P_Replacement: 0.0010000000000000002 + +2023-08-10 17:00:05,295 - train: [ INFO] - Train: 20 [ 40/41 (100%)] Loss: 0.944901 (1.0395) Acc@1: 16.6667 (16.8699) Acc@5: 56.6667 (50.4472) Time: 0.774s, 155.14/s LR: 5.718e-04 P_Replacement: 0.0011535961463124446 + +2023-08-10 17:00:09,189 - train: [ INFO] - Test: [ 0/16] Time: 2.410 (2.410) Loss: 2.7508 (2.7508) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 48.3333 (48.3333) + +2023-08-10 17:00:12,592 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.342) Loss: 2.8321 (2.8060) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (14.5000)Acc@5: 42.5000 (46.5000) + +2023-08-10 17:00:14,112 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-20.pth.tar', 14.50000078201294) + +2023-08-10 17:00:19,008 - train: [ INFO] - Train: 21 [ 0/41 ( 0%)] Loss: 0.968134 (0.9681) Acc@1: 18.3333 (18.3333) Acc@5: 50.8333 (50.8333) Time: 4.878s, 24.60/s LR: 5.704e-04 P_Replacement: 0.0011576249999999998 + +2023-08-10 17:00:45,556 - train: [ INFO] - Train: 21 [ 40/41 (100%)] Loss: 1.025864 (0.9848) Acc@1: 21.6667 (18.2724) Acc@5: 56.6667 (51.4228) Time: 0.766s, 156.57/s LR: 5.704e-04 P_Replacement: 0.001326578076711017 + +2023-08-10 17:00:49,407 - train: [ INFO] - Test: [ 0/16] Time: 2.322 (2.322) Loss: 2.8391 (2.8391) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 50.0000 (50.0000) + +2023-08-10 17:00:53,030 - train: [ INFO] - Test: [ 16/16] Time: 0.152 (0.350) Loss: 2.8501 (2.8183) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (14.0000)Acc@5: 41.2500 (45.6000) + +2023-08-10 17:01:00,090 - train: [ INFO] - Train: 22 [ 0/41 ( 0%)] Loss: 0.918307 (0.9183) Acc@1: 18.3333 (18.3333) Acc@5: 55.8333 (55.8333) Time: 5.598s, 21.44/s LR: 5.689e-04 P_Replacement: 0.001331 + +2023-08-10 17:01:26,463 - train: [ INFO] - Train: 22 [ 40/41 (100%)] Loss: 0.930810 (0.9552) Acc@1: 19.1667 (17.9065) Acc@5: 54.1667 (51.9919) Time: 0.780s, 153.90/s LR: 5.689e-04 P_Replacement: 0.0015160417144266627 + +2023-08-10 17:01:30,278 - train: [ INFO] - Test: [ 0/16] Time: 2.298 (2.298) Loss: 2.8418 (2.8418) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 48.3333 (48.3333) + +2023-08-10 17:01:33,952 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.351) Loss: 2.9067 (2.8055) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (14.2500)Acc@5: 35.0000 (46.9500) + +2023-08-10 17:01:39,917 - train: [ INFO] - Train: 23 [ 0/41 ( 0%)] Loss: 0.886033 (0.8860) Acc@1: 18.3333 (18.3333) Acc@5: 55.0000 (55.0000) Time: 4.462s, 26.89/s LR: 5.673e-04 P_Replacement: 0.001520875 + +2023-08-10 17:02:05,926 - train: [ INFO] - Train: 23 [ 40/41 (100%)] Loss: 0.885735 (0.9234) Acc@1: 20.8333 (18.3537) Acc@5: 56.6667 (52.9472) Time: 0.743s, 161.50/s LR: 5.673e-04 P_Replacement: 0.0017227370594593808 + +2023-08-10 17:02:10,297 - train: [ INFO] - Test: [ 0/16] Time: 2.195 (2.195) Loss: 2.7655 (2.7655) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 49.1667 (49.1667) + +2023-08-10 17:02:13,980 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.346) Loss: 2.6985 (2.7945) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.2000)Acc@5: 51.2500 (46.8500) + +2023-08-10 17:02:15,541 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-23.pth.tar', 15.200000495910645) + +2023-08-10 17:02:20,245 - train: [ INFO] - Train: 24 [ 0/41 ( 0%)] Loss: 0.880395 (0.8804) Acc@1: 17.5000 (17.5000) Acc@5: 51.6667 (51.6667) Time: 4.685s, 25.62/s LR: 5.657e-04 P_Replacement: 0.0017279999999999997 + +2023-08-10 17:02:46,372 - train: [ INFO] - Train: 24 [ 40/41 (100%)] Loss: 0.993227 (0.9079) Acc@1: 18.3333 (18.6179) Acc@5: 58.3333 (53.2317) Time: 0.751s, 159.69/s LR: 5.657e-04 P_Replacement: 0.0019474141118091728 + +2023-08-10 17:02:50,770 - train: [ INFO] - Test: [ 0/16] Time: 2.291 (2.291) Loss: 2.9055 (2.9055) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 38.3333 (38.3333) + +2023-08-10 17:02:54,324 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.344) Loss: 2.8414 (2.8016) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (14.7000)Acc@5: 40.0000 (46.6000) + +2023-08-10 17:03:00,563 - train: [ INFO] - Train: 25 [ 0/41 ( 0%)] Loss: 0.873737 (0.8737) Acc@1: 15.8333 (15.8333) Acc@5: 50.8333 (50.8333) Time: 4.255s, 28.20/s LR: 5.640e-04 P_Replacement: 0.001953125 + +2023-08-10 17:03:26,868 - train: [ INFO] - Train: 25 [ 40/41 (100%)] Loss: 0.857626 (0.8772) Acc@1: 21.6667 (19.1057) Acc@5: 55.0000 (54.2480) Time: 0.745s, 161.01/s LR: 5.640e-04 P_Replacement: 0.002190822871476038 + +2023-08-10 17:03:31,416 - train: [ INFO] - Test: [ 0/16] Time: 2.584 (2.584) Loss: 2.8141 (2.8141) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 46.6667 (46.6667) + +2023-08-10 17:03:35,078 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.367) Loss: 2.8206 (2.7901) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (14.1000)Acc@5: 47.5000 (46.9000) + +2023-08-10 17:03:42,249 - train: [ INFO] - Train: 26 [ 0/41 ( 0%)] Loss: 0.909139 (0.9091) Acc@1: 15.0000 (15.0000) Acc@5: 51.6667 (51.6667) Time: 5.386s, 22.28/s LR: 5.623e-04 P_Replacement: 0.002197 + +2023-08-10 17:04:08,471 - train: [ INFO] - Train: 26 [ 40/41 (100%)] Loss: 0.891770 (0.8572) Acc@1: 23.3333 (19.4919) Acc@5: 57.5000 (54.6341) Time: 0.771s, 155.67/s LR: 5.623e-04 P_Replacement: 0.0024537133384599764 + +2023-08-10 17:04:13,426 - train: [ INFO] - Test: [ 0/16] Time: 2.983 (2.983) Loss: 2.7943 (2.7943) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 45.8333 (45.8333) + +2023-08-10 17:04:17,028 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.387) Loss: 2.7733 (2.7861) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (14.3500)Acc@5: 50.0000 (46.7500) + +2023-08-10 17:04:23,607 - train: [ INFO] - Train: 27 [ 0/41 ( 0%)] Loss: 0.813318 (0.8133) Acc@1: 20.8333 (20.8333) Acc@5: 54.1667 (54.1667) Time: 4.314s, 27.82/s LR: 5.604e-04 P_Replacement: 0.0024603750000000003 + +2023-08-10 17:04:50,008 - train: [ INFO] - Train: 27 [ 40/41 (100%)] Loss: 0.813352 (0.8456) Acc@1: 20.8333 (20.2642) Acc@5: 57.5000 (55.8537) Time: 0.749s, 160.20/s LR: 5.604e-04 P_Replacement: 0.002736835512760988 + +2023-08-10 17:04:54,168 - train: [ INFO] - Test: [ 0/16] Time: 2.328 (2.328) Loss: 2.7897 (2.7897) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 50.8333 (50.8333) + +2023-08-10 17:04:58,022 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.364) Loss: 2.8028 (2.7916) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 (15.0000)Acc@5: 46.2500 (47.7500) + +2023-08-10 17:05:03,670 - train: [ INFO] - Train: 28 [ 0/41 ( 0%)] Loss: 0.828534 (0.8285) Acc@1: 20.0000 (20.0000) Acc@5: 55.0000 (55.0000) Time: 4.149s, 28.92/s LR: 5.585e-04 P_Replacement: 0.0027440000000000008 + +2023-08-10 17:05:29,981 - train: [ INFO] - Train: 28 [ 40/41 (100%)] Loss: 0.808751 (0.8328) Acc@1: 22.5000 (20.8740) Acc@5: 53.3333 (56.3821) Time: 0.743s, 161.56/s LR: 5.585e-04 P_Replacement: 0.003040939394379071 + +2023-08-10 17:05:34,074 - train: [ INFO] - Test: [ 0/16] Time: 2.401 (2.401) Loss: 2.8121 (2.8121) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 45.8333 (45.8333) + +2023-08-10 17:05:37,590 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.348) Loss: 2.8575 (2.8077) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (13.9500)Acc@5: 45.0000 (46.1500) + +2023-08-10 17:05:43,267 - train: [ INFO] - Train: 29 [ 0/41 ( 0%)] Loss: 0.806859 (0.8069) Acc@1: 20.8333 (20.8333) Acc@5: 61.6667 (61.6667) Time: 3.970s, 30.23/s LR: 5.566e-04 P_Replacement: 0.0030486249999999993 + +2023-08-10 17:06:09,198 - train: [ INFO] - Train: 29 [ 40/41 (100%)] Loss: 0.771127 (0.8004) Acc@1: 20.8333 (21.1992) Acc@5: 63.3333 (57.5000) Time: 0.729s, 164.55/s LR: 5.566e-04 P_Replacement: 0.003366774983314229 + +2023-08-10 17:06:13,308 - train: [ INFO] - Test: [ 0/16] Time: 2.424 (2.424) Loss: 2.8155 (2.8155) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 49.1667 (49.1667) + +2023-08-10 17:06:16,866 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.352) Loss: 2.7169 (2.8396) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (13.9500)Acc@5: 51.2500 (44.6500) + +2023-08-10 17:06:22,616 - train: [ INFO] - Train: 30 [ 0/41 ( 0%)] Loss: 0.771545 (0.7715) Acc@1: 20.0000 (20.0000) Acc@5: 59.1667 (59.1667) Time: 4.254s, 28.21/s LR: 5.546e-04 P_Replacement: 0.0033749999999999995 + +2023-08-10 17:06:48,661 - train: [ INFO] - Train: 30 [ 40/41 (100%)] Loss: 0.767263 (0.7901) Acc@1: 20.8333 (20.8943) Acc@5: 50.8333 (57.2561) Time: 0.739s, 162.39/s LR: 5.546e-04 P_Replacement: 0.00371509227956646 + +2023-08-10 17:06:52,931 - train: [ INFO] - Test: [ 0/16] Time: 2.359 (2.359) Loss: 2.7047 (2.7047) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 50.0000 (50.0000) + +2023-08-10 17:06:56,619 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.356) Loss: 2.7655 (2.7901) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (15.2000)Acc@5: 52.5000 (47.1000) + +2023-08-10 17:06:58,372 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-30.pth.tar', 15.200000762939453) + +2023-08-10 17:07:02,663 - train: [ INFO] - Train: 31 [ 0/41 ( 0%)] Loss: 0.759658 (0.7597) Acc@1: 25.8333 (25.8333) Acc@5: 66.6667 (66.6667) Time: 4.270s, 28.11/s LR: 5.525e-04 P_Replacement: 0.0037238749999999998 + +2023-08-10 17:07:29,081 - train: [ INFO] - Train: 31 [ 40/41 (100%)] Loss: 0.820597 (0.7905) Acc@1: 10.8333 (21.4837) Acc@5: 47.5000 (58.1911) Time: 0.748s, 160.34/s LR: 5.525e-04 P_Replacement: 0.004086641283135764 + +2023-08-10 17:07:33,474 - train: [ INFO] - Test: [ 0/16] Time: 2.388 (2.388) Loss: 2.6726 (2.6726) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 57.5000 (57.5000) + +2023-08-10 17:07:37,446 - train: [ INFO] - Test: [ 16/16] Time: 0.292 (0.374) Loss: 2.8866 (2.7971) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (15.6500)Acc@5: 45.0000 (47.6500) + +2023-08-10 17:07:39,334 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-31.pth.tar', 15.650000743865967) + +2023-08-10 17:07:43,500 - train: [ INFO] - Train: 32 [ 0/41 ( 0%)] Loss: 0.746022 (0.7460) Acc@1: 24.1667 (24.1667) Acc@5: 62.5000 (62.5000) Time: 4.148s, 28.93/s LR: 5.503e-04 P_Replacement: 0.004096000000000001 + +2023-08-10 17:08:09,653 - train: [ INFO] - Train: 32 [ 40/41 (100%)] Loss: 0.832801 (0.7744) Acc@1: 21.6667 (21.9919) Acc@5: 48.3333 (57.9065) Time: 0.739s, 162.39/s LR: 5.503e-04 P_Replacement: 0.004482171994022142 + +2023-08-10 17:08:13,618 - train: [ INFO] - Test: [ 0/16] Time: 2.142 (2.142) Loss: 2.6861 (2.6861) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 55.8333 (55.8333) + +2023-08-10 17:08:17,358 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.346) Loss: 2.8073 (2.8099) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (14.6500)Acc@5: 42.5000 (46.1000) + +2023-08-10 17:08:23,822 - train: [ INFO] - Train: 33 [ 0/41 ( 0%)] Loss: 0.741047 (0.7410) Acc@1: 26.6667 (26.6667) Acc@5: 63.3333 (63.3333) Time: 4.330s, 27.71/s LR: 5.481e-04 P_Replacement: 0.0044921250000000005 + +2023-08-10 17:08:50,160 - train: [ INFO] - Train: 33 [ 40/41 (100%)] Loss: 0.722540 (0.7561) Acc@1: 25.0000 (22.9472) Acc@5: 60.8333 (59.1870) Time: 0.748s, 160.43/s LR: 5.481e-04 P_Replacement: 0.004902434412225593 + +2023-08-10 17:08:54,118 - train: [ INFO] - Test: [ 0/16] Time: 2.130 (2.130) Loss: 2.8121 (2.8121) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 52.5000 (52.5000) + +2023-08-10 17:08:57,916 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.349) Loss: 2.7478 (2.8288) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (14.4000)Acc@5: 52.5000 (45.4500) + +2023-08-10 17:09:04,236 - train: [ INFO] - Train: 34 [ 0/41 ( 0%)] Loss: 0.731702 (0.7317) Acc@1: 21.6667 (21.6667) Acc@5: 57.5000 (57.5000) Time: 4.168s, 28.79/s LR: 5.458e-04 P_Replacement: 0.004913000000000001 + +2023-08-10 17:09:30,630 - train: [ INFO] - Train: 34 [ 40/41 (100%)] Loss: 0.747217 (0.7459) Acc@1: 20.0000 (22.6423) Acc@5: 55.0000 (60.0407) Time: 0.745s, 160.99/s LR: 5.458e-04 P_Replacement: 0.0053481785377461144 + +2023-08-10 17:09:34,352 - train: [ INFO] - Test: [ 0/16] Time: 2.353 (2.353) Loss: 2.7984 (2.7984) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 44.1667 (44.1667) + +2023-08-10 17:09:38,250 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.368) Loss: 2.7654 (2.8015) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (15.7500)Acc@5: 53.7500 (47.3500) + +2023-08-10 17:09:40,118 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-34.pth.tar', 15.750000953674316) + +2023-08-10 17:09:44,325 - train: [ INFO] - Train: 35 [ 0/41 ( 0%)] Loss: 0.738163 (0.7382) Acc@1: 25.0000 (25.0000) Acc@5: 58.3333 (58.3333) Time: 4.188s, 28.65/s LR: 5.435e-04 P_Replacement: 0.005359374999999999 + +2023-08-10 17:10:10,649 - train: [ INFO] - Train: 35 [ 40/41 (100%)] Loss: 0.695868 (0.7361) Acc@1: 25.8333 (22.7642) Acc@5: 63.3333 (60.0000) Time: 0.744s, 161.26/s LR: 5.435e-04 P_Replacement: 0.005820154370583711 + +2023-08-10 17:10:14,144 - train: [ INFO] - Test: [ 0/16] Time: 2.159 (2.159) Loss: 2.7524 (2.7524) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 49.1667 (49.1667) + +2023-08-10 17:10:17,766 - train: [ INFO] - Test: [ 16/16] Time: 0.244 (0.340) Loss: 2.7243 (2.8201) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.9500)Acc@5: 48.7500 (47.2000) + +2023-08-10 17:10:19,719 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-35.pth.tar', 15.950000896453858) + +2023-08-10 17:10:24,442 - train: [ INFO] - Train: 36 [ 0/41 ( 0%)] Loss: 0.769921 (0.7699) Acc@1: 24.1667 (24.1667) Acc@5: 58.3333 (58.3333) Time: 4.703s, 25.51/s LR: 5.411e-04 P_Replacement: 0.0058319999999999995 + +2023-08-10 17:10:51,141 - train: [ INFO] - Train: 36 [ 40/41 (100%)] Loss: 0.717573 (0.7279) Acc@1: 25.0000 (23.5366) Acc@5: 56.6667 (60.4472) Time: 0.766s, 156.69/s LR: 5.411e-04 P_Replacement: 0.006319111910738381 + +2023-08-10 17:10:54,788 - train: [ INFO] - Test: [ 0/16] Time: 2.176 (2.176) Loss: 2.7401 (2.7401) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 55.8333 (55.8333) + +2023-08-10 17:10:58,932 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.372) Loss: 2.7972 (2.7930) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (15.9500)Acc@5: 50.0000 (47.9500) + +2023-08-10 17:11:05,394 - train: [ INFO] - Train: 37 [ 0/41 ( 0%)] Loss: 0.678316 (0.6783) Acc@1: 20.8333 (20.8333) Acc@5: 60.8333 (60.8333) Time: 4.709s, 25.48/s LR: 5.387e-04 P_Replacement: 0.006331625 + +2023-08-10 17:11:32,168 - train: [ INFO] - Train: 37 [ 40/41 (100%)] Loss: 0.661846 (0.7082) Acc@1: 25.0000 (22.9472) Acc@5: 59.1667 (60.9553) Time: 0.768s, 156.29/s LR: 5.387e-04 P_Replacement: 0.006845801158210125 + +2023-08-10 17:11:36,189 - train: [ INFO] - Test: [ 0/16] Time: 2.436 (2.436) Loss: 2.7974 (2.7974) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 50.8333 (50.8333) + +2023-08-10 17:11:40,158 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.377) Loss: 2.7142 (2.7969) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (16.3000)Acc@5: 53.7500 (48.1500) + +2023-08-10 17:11:41,752 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-37.pth.tar', 16.300001049041747) + +2023-08-10 17:11:46,081 - train: [ INFO] - Train: 38 [ 0/41 ( 0%)] Loss: 0.760442 (0.7604) Acc@1: 26.6667 (26.6667) Acc@5: 59.1667 (59.1667) Time: 4.304s, 27.88/s LR: 5.361e-04 P_Replacement: 0.0068590000000000005 + +2023-08-10 17:12:12,233 - train: [ INFO] - Train: 38 [ 40/41 (100%)] Loss: 0.661348 (0.6996) Acc@1: 15.8333 (24.3699) Acc@5: 58.3333 (62.2764) Time: 0.743s, 161.56/s LR: 5.361e-04 P_Replacement: 0.007400972112998941 + +2023-08-10 17:12:15,857 - train: [ INFO] - Test: [ 0/16] Time: 2.302 (2.302) Loss: 2.7509 (2.7509) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 48.3333 (48.3333) + +2023-08-10 17:12:19,950 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.376) Loss: 2.9812 (2.8083) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (14.6500)Acc@5: 33.7500 (46.1500) + +2023-08-10 17:12:25,998 - train: [ INFO] - Train: 39 [ 0/41 ( 0%)] Loss: 0.687792 (0.6878) Acc@1: 26.6667 (26.6667) Acc@5: 62.5000 (62.5000) Time: 4.231s, 28.36/s LR: 5.336e-04 P_Replacement: 0.0074148750000000005 + +2023-08-10 17:12:51,937 - train: [ INFO] - Train: 39 [ 40/41 (100%)] Loss: 0.756537 (0.6952) Acc@1: 25.0000 (24.2276) Acc@5: 63.3333 (61.7276) Time: 0.736s, 163.09/s LR: 5.336e-04 P_Replacement: 0.007985374775104831 + +2023-08-10 17:12:55,646 - train: [ INFO] - Test: [ 0/16] Time: 2.116 (2.116) Loss: 2.6945 (2.6945) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 52.5000 (52.5000) + +2023-08-10 17:12:59,171 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.332) Loss: 2.6727 (2.7451) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (15.6000)Acc@5: 48.7500 (48.8000) + +2023-08-10 17:13:05,616 - train: [ INFO] - Train: 40 [ 0/41 ( 0%)] Loss: 0.647895 (0.6479) Acc@1: 35.0000 (35.0000) Acc@5: 74.1667 (74.1667) Time: 4.371s, 27.46/s LR: 5.309e-04 P_Replacement: 0.008000000000000002 + +2023-08-10 17:13:32,045 - train: [ INFO] - Train: 40 [ 40/41 (100%)] Loss: 0.647066 (0.6675) Acc@1: 25.8333 (24.1870) Acc@5: 59.1667 (61.6260) Time: 0.751s, 159.75/s LR: 5.309e-04 P_Replacement: 0.008599759144527791 + +2023-08-10 17:13:35,603 - train: [ INFO] - Test: [ 0/16] Time: 2.196 (2.196) Loss: 2.7875 (2.7875) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 47.5000 (47.5000) + +2023-08-10 17:13:39,471 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.357) Loss: 2.7581 (2.8115) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (15.4500)Acc@5: 45.0000 (47.2000) + +2023-08-10 17:13:45,523 - train: [ INFO] - Train: 41 [ 0/41 ( 0%)] Loss: 0.651224 (0.6512) Acc@1: 24.1667 (24.1667) Acc@5: 60.8333 (60.8333) Time: 4.243s, 28.29/s LR: 5.283e-04 P_Replacement: 0.008615124999999998 + +2023-08-10 17:14:11,879 - train: [ INFO] - Train: 41 [ 40/41 (100%)] Loss: 0.628401 (0.6756) Acc@1: 24.1667 (25.0813) Acc@5: 56.6667 (63.0894) Time: 0.746s, 160.81/s LR: 5.283e-04 P_Replacement: 0.009244875221267827 + +2023-08-10 17:14:15,831 - train: [ INFO] - Test: [ 0/16] Time: 2.292 (2.292) Loss: 2.7620 (2.7620) cLoss: 0.0000 (0.0000) Acc@1: 8.3333 ( 8.3333)Acc@5: 50.0000 (50.0000) + +2023-08-10 17:14:19,364 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.343) Loss: 2.7175 (2.7736) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (13.9000)Acc@5: 50.0000 (48.7000) + +2023-08-10 17:14:25,837 - train: [ INFO] - Train: 42 [ 0/41 ( 0%)] Loss: 0.683782 (0.6838) Acc@1: 28.3333 (28.3333) Acc@5: 57.5000 (57.5000) Time: 4.667s, 25.71/s LR: 5.255e-04 P_Replacement: 0.009260999999999998 + +2023-08-10 17:14:52,328 - train: [ INFO] - Train: 42 [ 40/41 (100%)] Loss: 0.905490 (0.6690) Acc@1: 27.5000 (25.0813) Acc@5: 63.3333 (63.5772) Time: 0.760s, 157.93/s LR: 5.255e-04 P_Replacement: 0.009921473005324937 + +2023-08-10 17:14:56,420 - train: [ INFO] - Test: [ 0/16] Time: 2.471 (2.471) Loss: 2.8463 (2.8463) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 43.3333 (43.3333) + +2023-08-10 17:14:59,918 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.351) Loss: 2.7077 (2.8185) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (14.9500)Acc@5: 56.2500 (46.7500) + +2023-08-10 17:15:05,827 - train: [ INFO] - Train: 43 [ 0/41 ( 0%)] Loss: 0.677323 (0.6773) Acc@1: 19.1667 (19.1667) Acc@5: 58.3333 (58.3333) Time: 4.150s, 28.91/s LR: 5.227e-04 P_Replacement: 0.009938375 + +2023-08-10 17:15:32,531 - train: [ INFO] - Train: 43 [ 40/41 (100%)] Loss: 0.653958 (0.6519) Acc@1: 28.3333 (25.3862) Acc@5: 70.8333 (63.3130) Time: 0.752s, 159.50/s LR: 5.227e-04 P_Replacement: 0.010630302496699119 + +2023-08-10 17:15:36,707 - train: [ INFO] - Test: [ 0/16] Time: 2.529 (2.529) Loss: 2.8708 (2.8708) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 42.5000 (42.5000) + +2023-08-10 17:15:40,022 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.344) Loss: 2.8016 (2.7739) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.7500)Acc@5: 40.0000 (48.2000) + +2023-08-10 17:15:45,923 - train: [ INFO] - Train: 44 [ 0/41 ( 0%)] Loss: 0.604712 (0.6047) Acc@1: 31.6667 (31.6667) Acc@5: 70.8333 (70.8333) Time: 4.296s, 27.94/s LR: 5.199e-04 P_Replacement: 0.010648 + +2023-08-10 17:16:12,191 - train: [ INFO] - Train: 44 [ 40/41 (100%)] Loss: 0.634313 (0.6466) Acc@1: 23.3333 (25.5691) Acc@5: 60.0000 (64.3699) Time: 0.745s, 160.99/s LR: 5.199e-04 P_Replacement: 0.011372113695390375 + +2023-08-10 17:16:15,775 - train: [ INFO] - Test: [ 0/16] Time: 2.137 (2.137) Loss: 2.6494 (2.6494) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 53.3333 (53.3333) + +2023-08-10 17:16:19,409 - train: [ INFO] - Test: [ 16/16] Time: 0.213 (0.339) Loss: 2.7295 (2.7490) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (16.2000)Acc@5: 50.0000 (49.2500) + +2023-08-10 17:16:25,240 - train: [ INFO] - Train: 45 [ 0/41 ( 0%)] Loss: 0.620570 (0.6206) Acc@1: 30.8333 (30.8333) Acc@5: 67.5000 (67.5000) Time: 4.311s, 27.83/s LR: 5.169e-04 P_Replacement: 0.011390625000000001 + +2023-08-10 17:16:52,121 - train: [ INFO] - Train: 45 [ 40/41 (100%)] Loss: 0.658615 (0.6257) Acc@1: 23.3333 (25.8740) Acc@5: 60.0000 (64.0041) Time: 0.761s, 157.75/s LR: 5.169e-04 P_Replacement: 0.012147656601398705 + +2023-08-10 17:16:55,884 - train: [ INFO] - Test: [ 0/16] Time: 2.405 (2.405) Loss: 2.7323 (2.7323) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 52.5000 (52.5000) + +2023-08-10 17:16:59,620 - train: [ INFO] - Test: [ 16/16] Time: 0.178 (0.361) Loss: 2.7568 (2.7557) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (16.5500)Acc@5: 55.0000 (49.9500) + +2023-08-10 17:17:01,870 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-45.pth.tar', 16.550000762939455) + +2023-08-10 17:17:07,261 - train: [ INFO] - Train: 46 [ 0/41 ( 0%)] Loss: 0.581711 (0.5817) Acc@1: 25.8333 (25.8333) Acc@5: 62.5000 (62.5000) Time: 5.373s, 22.33/s LR: 5.140e-04 P_Replacement: 0.012167 + +2023-08-10 17:17:33,953 - train: [ INFO] - Train: 46 [ 40/41 (100%)] Loss: 0.594352 (0.6333) Acc@1: 25.8333 (25.6098) Acc@5: 69.1667 (64.7154) Time: 0.782s, 153.45/s LR: 5.140e-04 P_Replacement: 0.012957681214724102 + +2023-08-10 17:17:37,614 - train: [ INFO] - Test: [ 0/16] Time: 2.370 (2.370) Loss: 2.7569 (2.7569) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 51.6667 (51.6667) + +2023-08-10 17:17:41,376 - train: [ INFO] - Test: [ 16/16] Time: 0.241 (0.361) Loss: 2.5558 (2.7242) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (16.2000)Acc@5: 57.5000 (50.4500) + +2023-08-10 17:17:47,442 - train: [ INFO] - Train: 47 [ 0/41 ( 0%)] Loss: 0.631525 (0.6315) Acc@1: 31.6667 (31.6667) Acc@5: 75.8333 (75.8333) Time: 4.470s, 26.84/s LR: 5.110e-04 P_Replacement: 0.012977874999999998 + +2023-08-10 17:18:13,767 - train: [ INFO] - Train: 47 [ 40/41 (100%)] Loss: 0.646277 (0.6298) Acc@1: 26.6667 (27.3577) Acc@5: 65.0000 (63.9837) Time: 0.751s, 159.78/s LR: 5.110e-04 P_Replacement: 0.013802937535366577 + +2023-08-10 17:18:17,893 - train: [ INFO] - Test: [ 0/16] Time: 2.484 (2.484) Loss: 2.7670 (2.7670) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 50.0000 (50.0000) + +2023-08-10 17:18:21,452 - train: [ INFO] - Test: [ 16/16] Time: 0.228 (0.355) Loss: 2.6233 (2.7475) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (14.6000)Acc@5: 56.2500 (49.5500) + +2023-08-10 17:18:28,377 - train: [ INFO] - Train: 48 [ 0/41 ( 0%)] Loss: 0.573877 (0.5739) Acc@1: 21.6667 (21.6667) Acc@5: 67.5000 (67.5000) Time: 4.982s, 24.09/s LR: 5.079e-04 P_Replacement: 0.013823999999999998 + +2023-08-10 17:18:55,045 - train: [ INFO] - Train: 48 [ 40/41 (100%)] Loss: 0.566651 (0.6364) Acc@1: 28.3333 (26.3618) Acc@5: 66.6667 (64.8984) Time: 0.772s, 155.46/s LR: 5.079e-04 P_Replacement: 0.014684175563326126 + +2023-08-10 17:18:59,078 - train: [ INFO] - Test: [ 0/16] Time: 2.532 (2.532) Loss: 2.6985 (2.6985) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 57.5000 (57.5000) + +2023-08-10 17:19:02,600 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.356) Loss: 2.8002 (2.7448) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (16.7000)Acc@5: 43.7500 (49.4000) + +2023-08-10 17:19:04,391 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-48.pth.tar', 16.70000104904175) + +2023-08-10 17:19:08,823 - train: [ INFO] - Train: 49 [ 0/41 ( 0%)] Loss: 0.703760 (0.7038) Acc@1: 28.3333 (28.3333) Acc@5: 65.0000 (65.0000) Time: 4.412s, 27.20/s LR: 5.048e-04 P_Replacement: 0.014706124999999999 + +2023-08-10 17:19:35,170 - train: [ INFO] - Train: 49 [ 40/41 (100%)] Loss: 0.541113 (0.6105) Acc@1: 29.1667 (27.3171) Acc@5: 63.3333 (65.0000) Time: 0.750s, 159.97/s LR: 5.048e-04 P_Replacement: 0.015602145298602748 + +2023-08-10 17:19:39,166 - train: [ INFO] - Test: [ 0/16] Time: 2.449 (2.449) Loss: 2.8118 (2.8118) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 45.8333 (45.8333) + +2023-08-10 17:19:42,856 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.361) Loss: 2.7571 (2.7979) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.1000)Acc@5: 43.7500 (47.5000) + +2023-08-10 17:19:49,225 - train: [ INFO] - Train: 50 [ 0/41 ( 0%)] Loss: 0.713593 (0.7136) Acc@1: 20.0000 (20.0000) Acc@5: 59.1667 (59.1667) Time: 4.374s, 27.44/s LR: 5.016e-04 P_Replacement: 0.015625 + +2023-08-10 17:20:15,429 - train: [ INFO] - Train: 50 [ 40/41 (100%)] Loss: 0.635961 (0.5938) Acc@1: 28.3333 (27.5610) Acc@5: 70.0000 (65.9959) Time: 0.746s, 160.92/s LR: 5.016e-04 P_Replacement: 0.016557596741196442 + +2023-08-10 17:20:19,368 - train: [ INFO] - Test: [ 0/16] Time: 2.426 (2.426) Loss: 2.6398 (2.6398) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 55.8333 (55.8333) + +2023-08-10 17:20:22,916 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.351) Loss: 2.6908 (2.7464) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (16.2500)Acc@5: 47.5000 (49.1000) + +2023-08-10 17:20:29,378 - train: [ INFO] - Train: 51 [ 0/41 ( 0%)] Loss: 0.575358 (0.5754) Acc@1: 30.0000 (30.0000) Acc@5: 65.0000 (65.0000) Time: 4.509s, 26.61/s LR: 4.984e-04 P_Replacement: 0.016581375000000002 + +2023-08-10 17:20:55,874 - train: [ INFO] - Train: 51 [ 40/41 (100%)] Loss: 0.578981 (0.5955) Acc@1: 33.3333 (27.7642) Acc@5: 65.0000 (65.8333) Time: 0.756s, 158.69/s LR: 4.984e-04 P_Replacement: 0.017551279891107212 + +2023-08-10 17:20:59,993 - train: [ INFO] - Test: [ 0/16] Time: 2.425 (2.425) Loss: 2.8342 (2.8342) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 45.0000 (45.0000) + +2023-08-10 17:21:03,202 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.331) Loss: 2.8063 (2.7967) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (14.9500)Acc@5: 50.0000 (48.4500) + +2023-08-10 17:21:09,055 - train: [ INFO] - Train: 52 [ 0/41 ( 0%)] Loss: 0.552792 (0.5528) Acc@1: 30.8333 (30.8333) Acc@5: 70.0000 (70.0000) Time: 3.910s, 30.69/s LR: 4.951e-04 P_Replacement: 0.017576 + +2023-08-10 17:21:34,217 - train: [ INFO] - Train: 52 [ 40/41 (100%)] Loss: 0.577906 (0.5987) Acc@1: 30.0000 (27.6829) Acc@5: 72.5000 (66.7683) Time: 0.709s, 169.24/s LR: 4.951e-04 P_Replacement: 0.01858394474833505 + +2023-08-10 17:21:37,208 - train: [ INFO] - Test: [ 0/16] Time: 1.901 (1.901) Loss: 2.8174 (2.8174) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 43.3333 (43.3333) + +2023-08-10 17:21:40,494 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.305) Loss: 2.6767 (2.7562) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (15.8000)Acc@5: 51.2500 (48.9500) + +2023-08-10 17:21:45,809 - train: [ INFO] - Train: 53 [ 0/41 ( 0%)] Loss: 0.593756 (0.5938) Acc@1: 29.1667 (29.1667) Acc@5: 56.6667 (56.6667) Time: 3.957s, 30.32/s LR: 4.918e-04 P_Replacement: 0.018609625 + +2023-08-10 17:22:11,120 - train: [ INFO] - Train: 53 [ 40/41 (100%)] Loss: 0.533127 (0.5884) Acc@1: 30.8333 (27.9675) Acc@5: 69.1667 (66.5650) Time: 0.714s, 168.12/s LR: 4.918e-04 P_Replacement: 0.01965634131287997 + +2023-08-10 17:22:14,526 - train: [ INFO] - Test: [ 0/16] Time: 2.126 (2.126) Loss: 2.8081 (2.8081) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 48.3333 (48.3333) + +2023-08-10 17:22:18,146 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.338) Loss: 2.8250 (2.7598) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (14.9500)Acc@5: 46.2500 (49.7500) + +2023-08-10 17:22:24,969 - train: [ INFO] - Train: 54 [ 0/41 ( 0%)] Loss: 0.516901 (0.5169) Acc@1: 30.0000 (30.0000) Acc@5: 75.8333 (75.8333) Time: 4.838s, 24.80/s LR: 4.884e-04 P_Replacement: 0.019683000000000003 + +2023-08-10 17:22:51,624 - train: [ INFO] - Train: 54 [ 40/41 (100%)] Loss: 0.586727 (0.5814) Acc@1: 30.0000 (28.4146) Acc@5: 75.8333 (66.8699) Time: 0.768s, 156.23/s LR: 4.884e-04 P_Replacement: 0.020769219584741955 + +2023-08-10 17:22:55,274 - train: [ INFO] - Test: [ 0/16] Time: 2.141 (2.141) Loss: 2.7292 (2.7292) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 52.5000 (52.5000) + +2023-08-10 17:22:58,714 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.328) Loss: 2.7567 (2.7091) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (15.4000)Acc@5: 45.0000 (51.8500) + +2023-08-10 17:23:04,312 - train: [ INFO] - Train: 55 [ 0/41 ( 0%)] Loss: 0.525514 (0.5255) Acc@1: 37.5000 (37.5000) Acc@5: 73.3333 (73.3333) Time: 4.166s, 28.80/s LR: 4.850e-04 P_Replacement: 0.020796875000000006 + +2023-08-10 17:23:30,998 - train: [ INFO] - Train: 55 [ 40/41 (100%)] Loss: 0.549586 (0.5809) Acc@1: 26.6667 (29.1260) Acc@5: 65.8333 (67.2968) Time: 0.752s, 159.48/s LR: 4.850e-04 P_Replacement: 0.021923329563921016 + +2023-08-10 17:23:35,060 - train: [ INFO] - Test: [ 0/16] Time: 2.626 (2.626) Loss: 2.5511 (2.5511) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 55.8333 (55.8333) + +2023-08-10 17:23:38,724 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.370) Loss: 2.7814 (2.7156) cLoss: 0.0000 (0.0000) Acc@1: 11.2500 (16.4000)Acc@5: 46.2500 (50.5500) + +2023-08-10 17:23:46,424 - train: [ INFO] - Train: 56 [ 0/41 ( 0%)] Loss: 0.615800 (0.6158) Acc@1: 25.8333 (25.8333) Acc@5: 57.5000 (57.5000) Time: 6.114s, 19.63/s LR: 4.815e-04 P_Replacement: 0.021952000000000006 + +2023-08-10 17:24:12,894 - train: [ INFO] - Train: 56 [ 40/41 (100%)] Loss: 0.516256 (0.5763) Acc@1: 25.0000 (29.4919) Acc@5: 64.1667 (67.8659) Time: 0.795s, 151.01/s LR: 4.815e-04 P_Replacement: 0.02311942125041714 + +2023-08-10 17:24:16,920 - train: [ INFO] - Test: [ 0/16] Time: 2.436 (2.436) Loss: 2.7637 (2.7637) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 47.5000 (47.5000) + +2023-08-10 17:24:20,793 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.371) Loss: 2.7415 (2.7303) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (16.5000)Acc@5: 47.5000 (50.2000) + +2023-08-10 17:24:26,982 - train: [ INFO] - Train: 57 [ 0/41 ( 0%)] Loss: 0.515386 (0.5154) Acc@1: 33.3333 (33.3333) Acc@5: 70.0000 (70.0000) Time: 4.649s, 25.81/s LR: 4.780e-04 P_Replacement: 0.023149124999999993 + +2023-08-10 17:24:53,458 - train: [ INFO] - Train: 57 [ 40/41 (100%)] Loss: 0.537895 (0.5818) Acc@1: 30.0000 (29.0650) Acc@5: 65.8333 (67.5000) Time: 0.759s, 158.09/s LR: 4.780e-04 P_Replacement: 0.024358244644230347 + +2023-08-10 17:24:57,175 - train: [ INFO] - Test: [ 0/16] Time: 2.427 (2.427) Loss: 2.6951 (2.6951) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 49.1667 (49.1667) + +2023-08-10 17:25:01,206 - train: [ INFO] - Test: [ 16/16] Time: 0.238 (0.380) Loss: 2.8305 (2.7144) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (16.6500)Acc@5: 43.7500 (50.5000) + +2023-08-10 17:25:07,505 - train: [ INFO] - Train: 58 [ 0/41 ( 0%)] Loss: 0.630046 (0.6300) Acc@1: 32.5000 (32.5000) Acc@5: 69.1667 (69.1667) Time: 4.556s, 26.34/s LR: 4.745e-04 P_Replacement: 0.024388999999999994 + +2023-08-10 17:25:34,194 - train: [ INFO] - Train: 58 [ 40/41 (100%)] Loss: 0.603416 (0.5726) Acc@1: 22.5000 (29.8577) Acc@5: 64.1667 (68.0488) Time: 0.762s, 157.47/s LR: 4.745e-04 P_Replacement: 0.025640549745360626 + +2023-08-10 17:25:38,195 - train: [ INFO] - Test: [ 0/16] Time: 2.418 (2.418) Loss: 2.7175 (2.7175) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 48.3333 (48.3333) + +2023-08-10 17:25:41,995 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.366) Loss: 2.6380 (2.7161) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (16.7500)Acc@5: 55.0000 (51.0500) + +2023-08-10 17:25:43,467 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-58.pth.tar', 16.75000089645386) + +2023-08-10 17:25:48,028 - train: [ INFO] - Train: 59 [ 0/41 ( 0%)] Loss: 0.552773 (0.5528) Acc@1: 30.8333 (30.8333) Acc@5: 69.1667 (69.1667) Time: 4.525s, 26.52/s LR: 4.709e-04 P_Replacement: 0.025672374999999997 + +2023-08-10 17:26:14,296 - train: [ INFO] - Train: 59 [ 40/41 (100%)] Loss: 0.598835 (0.5747) Acc@1: 25.0000 (30.1423) Acc@5: 70.8333 (68.6585) Time: 0.751s, 159.79/s LR: 4.709e-04 P_Replacement: 0.02696708655380798 + +2023-08-10 17:26:18,224 - train: [ INFO] - Test: [ 0/16] Time: 2.202 (2.202) Loss: 2.8240 (2.8240) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 45.0000 (45.0000) + +2023-08-10 17:26:22,033 - train: [ INFO] - Test: [ 16/16] Time: 0.157 (0.354) Loss: 3.0019 (2.7655) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (14.9000)Acc@5: 38.7500 (49.4000) + +2023-08-10 17:26:28,319 - train: [ INFO] - Train: 60 [ 0/41 ( 0%)] Loss: 0.500945 (0.5009) Acc@1: 31.6667 (31.6667) Acc@5: 75.8333 (75.8333) Time: 4.853s, 24.73/s LR: 4.672e-04 P_Replacement: 0.026999999999999996 + +2023-08-10 17:26:54,832 - train: [ INFO] - Train: 60 [ 40/41 (100%)] Loss: 0.638249 (0.5860) Acc@1: 28.3333 (30.1016) Acc@5: 68.3333 (68.6585) Time: 0.765s, 156.87/s LR: 4.672e-04 P_Replacement: 0.028338605069572406 + +2023-08-10 17:26:58,615 - train: [ INFO] - Test: [ 0/16] Time: 2.140 (2.140) Loss: 2.7538 (2.7538) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 47.5000 (47.5000) + +2023-08-10 17:27:02,455 - train: [ INFO] - Test: [ 16/16] Time: 0.216 (0.352) Loss: 2.7070 (2.7481) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (15.8000)Acc@5: 50.0000 (49.1000) + +2023-08-10 17:27:08,271 - train: [ INFO] - Train: 61 [ 0/41 ( 0%)] Loss: 0.512549 (0.5125) Acc@1: 28.3333 (28.3333) Acc@5: 67.5000 (67.5000) Time: 4.472s, 26.84/s LR: 4.636e-04 P_Replacement: 0.028372625 + +2023-08-10 17:27:34,880 - train: [ INFO] - Train: 61 [ 40/41 (100%)] Loss: 0.498517 (0.5881) Acc@1: 32.5000 (29.4106) Acc@5: 71.6667 (68.8211) Time: 0.758s, 158.31/s LR: 4.636e-04 P_Replacement: 0.029755855292653906 + +2023-08-10 17:27:38,835 - train: [ INFO] - Test: [ 0/16] Time: 2.268 (2.268) Loss: 2.8602 (2.8602) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 42.5000 (42.5000) + +2023-08-10 17:27:42,572 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.353) Loss: 2.6538 (2.7540) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (16.7000)Acc@5: 52.5000 (49.8500) + +2023-08-10 17:27:49,255 - train: [ INFO] - Train: 62 [ 0/41 ( 0%)] Loss: 0.595546 (0.5955) Acc@1: 25.8333 (25.8333) Acc@5: 63.3333 (63.3333) Time: 5.206s, 23.05/s LR: 4.598e-04 P_Replacement: 0.029790999999999998 + +2023-08-10 17:28:15,612 - train: [ INFO] - Train: 62 [ 40/41 (100%)] Loss: 0.526763 (0.5684) Acc@1: 35.0000 (31.0569) Acc@5: 71.6667 (69.1667) Time: 0.770s, 155.90/s LR: 4.598e-04 P_Replacement: 0.03121958722305248 + +2023-08-10 17:28:19,616 - train: [ INFO] - Test: [ 0/16] Time: 2.558 (2.558) Loss: 2.7572 (2.7572) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 50.0000 (50.0000) + +2023-08-10 17:28:23,387 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.372) Loss: 2.6843 (2.7012) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (18.0500)Acc@5: 61.2500 (51.8500) + +2023-08-10 17:28:25,190 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-62.pth.tar', 18.05000066757202) + +2023-08-10 17:28:30,144 - train: [ INFO] - Train: 63 [ 0/41 ( 0%)] Loss: 0.671816 (0.6718) Acc@1: 30.0000 (30.0000) Acc@5: 71.6667 (71.6667) Time: 4.926s, 24.36/s LR: 4.561e-04 P_Replacement: 0.031255875 + +2023-08-10 17:28:56,523 - train: [ INFO] - Train: 63 [ 40/41 (100%)] Loss: 0.546014 (0.5757) Acc@1: 25.8333 (30.4268) Acc@5: 71.6667 (70.1423) Time: 0.763s, 157.17/s LR: 4.561e-04 P_Replacement: 0.03273055086076813 + +2023-08-10 17:29:01,097 - train: [ INFO] - Test: [ 0/16] Time: 3.224 (3.224) Loss: 2.7456 (2.7456) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 44.1667 (44.1667) + +2023-08-10 17:29:04,558 - train: [ INFO] - Test: [ 16/16] Time: 0.178 (0.393) Loss: 2.6623 (2.7035) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (18.6500)Acc@5: 50.0000 (50.7000) + +2023-08-10 17:29:06,189 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-63.pth.tar', 18.650000820159914) + +2023-08-10 17:29:10,501 - train: [ INFO] - Train: 64 [ 0/41 ( 0%)] Loss: 0.575942 (0.5759) Acc@1: 29.1667 (29.1667) Acc@5: 67.5000 (67.5000) Time: 4.286s, 28.00/s LR: 4.523e-04 P_Replacement: 0.032768000000000005 + +2023-08-10 17:29:37,394 - train: [ INFO] - Train: 64 [ 40/41 (100%)] Loss: 0.517362 (0.5881) Acc@1: 26.6667 (31.3618) Acc@5: 69.1667 (70.2642) Time: 0.760s, 157.85/s LR: 4.523e-04 P_Replacement: 0.03428949620580085 + +2023-08-10 17:29:41,462 - train: [ INFO] - Test: [ 0/16] Time: 2.780 (2.780) Loss: 2.7973 (2.7973) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 45.8333 (45.8333) + +2023-08-10 17:29:44,929 - train: [ INFO] - Test: [ 16/16] Time: 0.233 (0.367) Loss: 2.7457 (2.8008) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.7500)Acc@5: 45.0000 (47.0000) + +2023-08-10 17:29:50,812 - train: [ INFO] - Train: 65 [ 0/41 ( 0%)] Loss: 0.555999 (0.5560) Acc@1: 28.3333 (28.3333) Acc@5: 70.0000 (70.0000) Time: 4.213s, 28.48/s LR: 4.484e-04 P_Replacement: 0.034328125 + +2023-08-10 17:30:17,597 - train: [ INFO] - Train: 65 [ 40/41 (100%)] Loss: 0.484200 (0.5705) Acc@1: 30.8333 (30.5285) Acc@5: 70.0000 (69.6951) Time: 0.756s, 158.76/s LR: 4.484e-04 P_Replacement: 0.035897173258150644 + +2023-08-10 17:30:21,249 - train: [ INFO] - Test: [ 0/16] Time: 2.385 (2.385) Loss: 2.9097 (2.9097) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 40.0000 (40.0000) + +2023-08-10 17:30:25,126 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.368) Loss: 2.7697 (2.8243) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (14.9000)Acc@5: 47.5000 (45.5000) + +2023-08-10 17:30:30,952 - train: [ INFO] - Train: 66 [ 0/41 ( 0%)] Loss: 0.448430 (0.4484) Acc@1: 32.5000 (32.5000) Acc@5: 75.8333 (75.8333) Time: 4.357s, 27.54/s LR: 4.446e-04 P_Replacement: 0.035937000000000004 + +2023-08-10 17:30:57,492 - train: [ INFO] - Train: 66 [ 40/41 (100%)] Loss: 0.547358 (0.5563) Acc@1: 40.0000 (31.7683) Acc@5: 75.8333 (70.8740) Time: 0.753s, 159.26/s LR: 4.446e-04 P_Replacement: 0.03755433201781751 + +2023-08-10 17:31:01,043 - train: [ INFO] - Test: [ 0/16] Time: 2.204 (2.204) Loss: 2.6515 (2.6515) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 52.5000 (52.5000) + +2023-08-10 17:31:04,890 - train: [ INFO] - Test: [ 16/16] Time: 0.257 (0.356) Loss: 2.5672 (2.6906) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (18.1500)Acc@5: 63.7500 (52.8500) + +2023-08-10 17:31:12,527 - train: [ INFO] - Train: 67 [ 0/41 ( 0%)] Loss: 0.453597 (0.4536) Acc@1: 33.3333 (33.3333) Acc@5: 73.3333 (73.3333) Time: 5.379s, 22.31/s LR: 4.406e-04 P_Replacement: 0.03759537500000001 + +2023-08-10 17:31:39,270 - train: [ INFO] - Train: 67 [ 40/41 (100%)] Loss: 0.695985 (0.5768) Acc@1: 27.5000 (31.7683) Acc@5: 68.3333 (71.7886) Time: 0.783s, 153.18/s LR: 4.406e-04 P_Replacement: 0.03926172248480145 + +2023-08-10 17:31:43,370 - train: [ INFO] - Test: [ 0/16] Time: 2.400 (2.400) Loss: 2.7705 (2.7705) cLoss: 0.0000 (0.0000) Acc@1: 13.3333 (13.3333)Acc@5: 50.8333 (50.8333) + +2023-08-10 17:31:47,226 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.368) Loss: 2.7896 (2.7720) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.5500)Acc@5: 51.2500 (48.3500) + +2023-08-10 17:31:53,040 - train: [ INFO] - Train: 68 [ 0/41 ( 0%)] Loss: 0.484281 (0.4843) Acc@1: 23.3333 (23.3333) Acc@5: 65.8333 (65.8333) Time: 4.177s, 28.73/s LR: 4.367e-04 P_Replacement: 0.039304000000000006 + +2023-08-10 17:32:18,993 - train: [ INFO] - Train: 68 [ 40/41 (100%)] Loss: 0.691630 (0.5813) Acc@1: 28.3333 (31.0976) Acc@5: 74.1667 (70.3252) Time: 0.735s, 163.30/s LR: 4.367e-04 P_Replacement: 0.04102009465910244 + +2023-08-10 17:32:23,027 - train: [ INFO] - Test: [ 0/16] Time: 2.258 (2.258) Loss: 2.6732 (2.6732) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (16.6667)Acc@5: 54.1667 (54.1667) + +2023-08-10 17:32:26,777 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.353) Loss: 2.8859 (2.7929) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (15.0500)Acc@5: 36.2500 (47.3000) + +2023-08-10 17:32:32,469 - train: [ INFO] - Train: 69 [ 0/41 ( 0%)] Loss: 0.586815 (0.5868) Acc@1: 35.8333 (35.8333) Acc@5: 70.0000 (70.0000) Time: 4.151s, 28.91/s LR: 4.327e-04 P_Replacement: 0.04106362499999999 + +2023-08-10 17:32:58,815 - train: [ INFO] - Train: 69 [ 40/41 (100%)] Loss: 0.677049 (0.5853) Acc@1: 25.0000 (32.7846) Acc@5: 69.1667 (71.3008) Time: 0.744s, 161.34/s LR: 4.327e-04 P_Replacement: 0.042830198540720524 + +2023-08-10 17:33:03,055 - train: [ INFO] - Test: [ 0/16] Time: 2.429 (2.429) Loss: 2.7969 (2.7969) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 45.0000 (45.0000) + +2023-08-10 17:33:07,028 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.377) Loss: 2.8382 (2.7815) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (16.2000)Acc@5: 43.7500 (48.6500) + +2023-08-10 17:33:13,236 - train: [ INFO] - Train: 70 [ 0/41 ( 0%)] Loss: 0.528085 (0.5281) Acc@1: 36.6667 (36.6667) Acc@5: 73.3333 (73.3333) Time: 4.680s, 25.64/s LR: 4.287e-04 P_Replacement: 0.04287499999999999 + +2023-08-10 17:33:39,760 - train: [ INFO] - Train: 70 [ 40/41 (100%)] Loss: 0.475617 (0.5610) Acc@1: 31.6667 (31.9715) Acc@5: 70.8333 (70.8943) Time: 0.761s, 157.69/s LR: 4.287e-04 P_Replacement: 0.04469278412965569 + +2023-08-10 17:33:43,650 - train: [ INFO] - Test: [ 0/16] Time: 2.502 (2.502) Loss: 2.7149 (2.7149) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 53.3333 (53.3333) + +2023-08-10 17:33:47,308 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.362) Loss: 2.7195 (2.7377) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (16.4500)Acc@5: 56.2500 (49.8500) + +2023-08-10 17:33:53,761 - train: [ INFO] - Train: 71 [ 0/41 ( 0%)] Loss: 0.550890 (0.5509) Acc@1: 33.3333 (33.3333) Acc@5: 69.1667 (69.1667) Time: 4.413s, 27.19/s LR: 4.247e-04 P_Replacement: 0.04473887499999999 + +2023-08-10 17:34:20,095 - train: [ INFO] - Train: 71 [ 40/41 (100%)] Loss: 0.494593 (0.5968) Acc@1: 35.0000 (32.0732) Acc@5: 71.6667 (71.5854) Time: 0.750s, 160.04/s LR: 4.247e-04 P_Replacement: 0.04660860142590792 + +2023-08-10 17:34:24,443 - train: [ INFO] - Test: [ 0/16] Time: 2.982 (2.982) Loss: 2.8608 (2.8608) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 46.6667 (46.6667) + +2023-08-10 17:34:28,425 - train: [ INFO] - Test: [ 16/16] Time: 0.311 (0.410) Loss: 2.9462 (2.8326) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (14.5000)Acc@5: 40.0000 (46.3500) + +2023-08-10 17:34:35,480 - train: [ INFO] - Train: 72 [ 0/41 ( 0%)] Loss: 0.594071 (0.5941) Acc@1: 30.8333 (30.8333) Acc@5: 67.5000 (67.5000) Time: 5.063s, 23.70/s LR: 4.206e-04 P_Replacement: 0.046655999999999996 + +2023-08-10 17:35:02,333 - train: [ INFO] - Train: 72 [ 40/41 (100%)] Loss: 0.464417 (0.5718) Acc@1: 35.0000 (32.6016) Acc@5: 76.6667 (71.6057) Time: 0.778s, 154.17/s LR: 4.206e-04 P_Replacement: 0.048578400429477225 + +2023-08-10 17:35:06,108 - train: [ INFO] - Test: [ 0/16] Time: 2.156 (2.156) Loss: 2.6592 (2.6592) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 55.8333 (55.8333) + +2023-08-10 17:35:10,224 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.369) Loss: 2.6520 (2.6946) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (17.9500)Acc@5: 55.0000 (52.3500) + +2023-08-10 17:35:16,683 - train: [ INFO] - Train: 73 [ 0/41 ( 0%)] Loss: 0.670337 (0.6703) Acc@1: 28.3333 (28.3333) Acc@5: 66.6667 (66.6667) Time: 5.074s, 23.65/s LR: 4.165e-04 P_Replacement: 0.04862712499999999 + +2023-08-10 17:35:42,936 - train: [ INFO] - Train: 73 [ 40/41 (100%)] Loss: 0.471800 (0.5794) Acc@1: 31.6667 (32.7033) Acc@5: 71.6667 (72.2358) Time: 0.764s, 157.07/s LR: 4.165e-04 P_Replacement: 0.0506029311403636 + +2023-08-10 17:35:47,508 - train: [ INFO] - Test: [ 0/16] Time: 2.737 (2.737) Loss: 2.6694 (2.6694) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 54.1667 (54.1667) + +2023-08-10 17:35:51,121 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.374) Loss: 2.5828 (2.7112) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (17.1500)Acc@5: 53.7500 (52.1000) + +2023-08-10 17:35:57,620 - train: [ INFO] - Train: 74 [ 0/41 ( 0%)] Loss: 0.572072 (0.5721) Acc@1: 29.1667 (29.1667) Acc@5: 71.6667 (71.6667) Time: 4.849s, 24.75/s LR: 4.123e-04 P_Replacement: 0.050653 + +2023-08-10 17:36:24,084 - train: [ INFO] - Train: 74 [ 40/41 (100%)] Loss: 0.547093 (0.5622) Acc@1: 35.0000 (33.8008) Acc@5: 67.5000 (72.2358) Time: 0.764s, 157.14/s LR: 4.123e-04 P_Replacement: 0.05268294355856706 + +2023-08-10 17:36:28,427 - train: [ INFO] - Test: [ 0/16] Time: 3.022 (3.022) Loss: 2.7849 (2.7849) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 47.5000 (47.5000) + +2023-08-10 17:36:32,217 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.401) Loss: 2.7712 (2.7263) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (16.3000)Acc@5: 50.0000 (51.5500) + +2023-08-10 17:36:39,114 - train: [ INFO] - Train: 75 [ 0/41 ( 0%)] Loss: 0.691193 (0.6912) Acc@1: 32.5000 (32.5000) Acc@5: 65.8333 (65.8333) Time: 5.282s, 22.72/s LR: 4.082e-04 P_Replacement: 0.052734375 + +2023-08-10 17:37:05,636 - train: [ INFO] - Train: 75 [ 40/41 (100%)] Loss: 0.650224 (0.5827) Acc@1: 35.8333 (33.3333) Acc@5: 75.8333 (73.0285) Time: 0.776s, 154.71/s LR: 4.082e-04 P_Replacement: 0.054819187684087584 + +2023-08-10 17:37:10,052 - train: [ INFO] - Test: [ 0/16] Time: 2.489 (2.489) Loss: 2.5921 (2.5921) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 57.5000 (57.5000) + +2023-08-10 17:37:13,742 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.363) Loss: 2.7150 (2.5819) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (19.6000)Acc@5: 55.0000 (58.7500) + +2023-08-10 17:37:15,833 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-75.pth.tar', 19.60000123977661) + +2023-08-10 17:37:20,329 - train: [ INFO] - Train: 76 [ 0/41 ( 0%)] Loss: 0.666672 (0.6667) Acc@1: 36.6667 (36.6667) Acc@5: 75.8333 (75.8333) Time: 4.479s, 26.79/s LR: 4.040e-04 P_Replacement: 0.054872000000000004 + +2023-08-10 17:37:46,769 - train: [ INFO] - Train: 76 [ 40/41 (100%)] Loss: 0.626053 (0.5965) Acc@1: 27.5000 (33.4350) Acc@5: 70.0000 (72.8862) Time: 0.754s, 159.14/s LR: 4.040e-04 P_Replacement: 0.05701241351692518 + +2023-08-10 17:37:50,696 - train: [ INFO] - Test: [ 0/16] Time: 2.386 (2.386) Loss: 2.6391 (2.6391) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 55.0000 (55.0000) + +2023-08-10 17:37:54,618 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.371) Loss: 2.7109 (2.7116) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (16.8000)Acc@5: 51.2500 (50.8500) + +2023-08-10 17:38:02,376 - train: [ INFO] - Train: 77 [ 0/41 ( 0%)] Loss: 0.583752 (0.5838) Acc@1: 40.0000 (40.0000) Acc@5: 77.5000 (77.5000) Time: 5.809s, 20.66/s LR: 3.998e-04 P_Replacement: 0.057066625 + +2023-08-10 17:38:28,983 - train: [ INFO] - Train: 77 [ 40/41 (100%)] Loss: 0.719182 (0.5862) Acc@1: 32.5000 (34.1260) Acc@5: 70.8333 (73.1301) Time: 0.791s, 151.79/s LR: 3.998e-04 P_Replacement: 0.05926337105707985 + +2023-08-10 17:38:33,036 - train: [ INFO] - Test: [ 0/16] Time: 2.391 (2.391) Loss: 2.5653 (2.5653) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 59.1667 (59.1667) + +2023-08-10 17:38:36,862 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.366) Loss: 2.7784 (2.7014) cLoss: 0.0000 (0.0000) Acc@1: 8.7500 (17.6500)Acc@5: 50.0000 (52.1500) + +2023-08-10 17:38:43,106 - train: [ INFO] - Train: 78 [ 0/41 ( 0%)] Loss: 0.690768 (0.6908) Acc@1: 28.3333 (28.3333) Acc@5: 65.8333 (65.8333) Time: 4.886s, 24.56/s LR: 3.955e-04 P_Replacement: 0.059319000000000004 + +2023-08-10 17:39:09,358 - train: [ INFO] - Train: 78 [ 40/41 (100%)] Loss: 0.567173 (0.5820) Acc@1: 32.5000 (33.6382) Acc@5: 70.0000 (72.2968) Time: 0.759s, 158.02/s LR: 3.955e-04 P_Replacement: 0.0615728103045516 + +2023-08-10 17:39:14,003 - train: [ INFO] - Test: [ 0/16] Time: 2.779 (2.779) Loss: 2.6884 (2.6884) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 53.3333 (53.3333) + +2023-08-10 17:39:17,545 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.372) Loss: 2.4999 (2.7184) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (17.9000)Acc@5: 56.2500 (51.2500) + +2023-08-10 17:39:25,309 - train: [ INFO] - Train: 79 [ 0/41 ( 0%)] Loss: 0.691401 (0.6914) Acc@1: 35.8333 (35.8333) Acc@5: 71.6667 (71.6667) Time: 5.780s, 20.76/s LR: 3.912e-04 P_Replacement: 0.06162987500000001 + +2023-08-10 17:39:51,800 - train: [ INFO] - Train: 79 [ 40/41 (100%)] Loss: 0.660447 (0.5952) Acc@1: 34.1667 (34.6748) Acc@5: 70.0000 (73.6179) Time: 0.787s, 152.47/s LR: 3.912e-04 P_Replacement: 0.06394148125934042 + +2023-08-10 17:39:55,908 - train: [ INFO] - Test: [ 0/16] Time: 2.157 (2.157) Loss: 2.9082 (2.9082) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 41.6667 (41.6667) + +2023-08-10 17:39:59,581 - train: [ INFO] - Test: [ 16/16] Time: 0.142 (0.343) Loss: 2.9204 (2.8345) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (15.8500)Acc@5: 38.7500 (46.3000) + +2023-08-10 17:40:06,407 - train: [ INFO] - Train: 80 [ 0/41 ( 0%)] Loss: 0.638756 (0.6388) Acc@1: 31.6667 (31.6667) Acc@5: 76.6667 (76.6667) Time: 4.609s, 26.04/s LR: 3.870e-04 P_Replacement: 0.06400000000000002 + +2023-08-10 17:40:32,753 - train: [ INFO] - Train: 80 [ 40/41 (100%)] Loss: 0.548929 (0.5910) Acc@1: 26.6667 (33.6789) Acc@5: 72.5000 (73.7805) Time: 0.755s, 158.96/s LR: 3.870e-04 P_Replacement: 0.0663701339214463 + +2023-08-10 17:40:36,905 - train: [ INFO] - Test: [ 0/16] Time: 2.285 (2.285) Loss: 2.7137 (2.7137) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 49.1667 (49.1667) + +2023-08-10 17:40:40,550 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.349) Loss: 2.7624 (2.7138) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (18.7000)Acc@5: 46.2500 (52.2500) + +2023-08-10 17:40:46,711 - train: [ INFO] - Train: 81 [ 0/41 ( 0%)] Loss: 0.623123 (0.6231) Acc@1: 38.3333 (38.3333) Acc@5: 75.8333 (75.8333) Time: 4.611s, 26.03/s LR: 3.826e-04 P_Replacement: 0.066430125 + +2023-08-10 17:41:13,232 - train: [ INFO] - Train: 81 [ 40/41 (100%)] Loss: 0.674748 (0.6088) Acc@1: 30.8333 (34.8781) Acc@5: 70.0000 (73.6585) Time: 0.759s, 158.05/s LR: 3.826e-04 P_Replacement: 0.06885951829086924 + +2023-08-10 17:41:18,021 - train: [ INFO] - Test: [ 0/16] Time: 2.691 (2.691) Loss: 2.7722 (2.7722) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 43.3333 (43.3333) + +2023-08-10 17:41:21,842 - train: [ INFO] - Test: [ 16/16] Time: 0.174 (0.383) Loss: 2.5402 (2.6365) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (20.0000)Acc@5: 60.0000 (54.2000) + +2023-08-10 17:41:23,438 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-81.pth.tar', 20.000001239776612) + +2023-08-10 17:41:27,741 - train: [ INFO] - Train: 82 [ 0/41 ( 0%)] Loss: 0.631263 (0.6313) Acc@1: 34.1667 (34.1667) Acc@5: 75.0000 (75.0000) Time: 4.250s, 28.24/s LR: 3.783e-04 P_Replacement: 0.06892099999999998 + +2023-08-10 17:41:54,270 - train: [ INFO] - Train: 82 [ 40/41 (100%)] Loss: 0.678679 (0.5990) Acc@1: 34.1667 (35.8740) Acc@5: 68.3333 (74.0447) Time: 0.751s, 159.87/s LR: 3.783e-04 P_Replacement: 0.07141038436760928 + +2023-08-10 17:41:58,562 - train: [ INFO] - Test: [ 0/16] Time: 2.418 (2.418) Loss: 2.6150 (2.6150) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 53.3333 (53.3333) + +2023-08-10 17:42:02,462 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.372) Loss: 2.5479 (2.6702) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (17.8500)Acc@5: 56.2500 (54.1000) + +2023-08-10 17:42:08,226 - train: [ INFO] - Train: 83 [ 0/41 ( 0%)] Loss: 0.656868 (0.6569) Acc@1: 35.8333 (35.8333) Acc@5: 70.8333 (70.8333) Time: 4.258s, 28.18/s LR: 3.740e-04 P_Replacement: 0.07147337499999999 + +2023-08-10 17:42:34,767 - train: [ INFO] - Train: 83 [ 40/41 (100%)] Loss: 0.555262 (0.6042) Acc@1: 37.5000 (35.1626) Acc@5: 78.3333 (73.8211) Time: 0.751s, 159.77/s LR: 3.740e-04 P_Replacement: 0.07402348215166639 + +2023-08-10 17:42:38,470 - train: [ INFO] - Test: [ 0/16] Time: 2.249 (2.249) Loss: 2.7844 (2.7844) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 47.5000 (47.5000) + +2023-08-10 17:42:42,742 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.384) Loss: 2.7461 (2.7439) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (17.3500)Acc@5: 48.7500 (50.3000) + +2023-08-10 17:42:48,924 - train: [ INFO] - Train: 84 [ 0/41 ( 0%)] Loss: 0.535591 (0.5356) Acc@1: 40.8333 (40.8333) Acc@5: 80.8333 (80.8333) Time: 4.667s, 25.71/s LR: 3.696e-04 P_Replacement: 0.07408799999999999 + +2023-08-10 17:43:15,230 - train: [ INFO] - Train: 84 [ 40/41 (100%)] Loss: 0.680486 (0.6251) Acc@1: 31.6667 (34.6951) Acc@5: 71.6667 (74.2276) Time: 0.755s, 158.86/s LR: 3.696e-04 P_Replacement: 0.07669956164304058 + +2023-08-10 17:43:18,869 - train: [ INFO] - Test: [ 0/16] Time: 2.222 (2.222) Loss: 2.5773 (2.5773) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 57.5000 (57.5000) + +2023-08-10 17:43:22,750 - train: [ INFO] - Test: [ 16/16] Time: 0.203 (0.359) Loss: 2.6192 (2.6149) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (19.4000)Acc@5: 55.0000 (56.4000) + +2023-08-10 17:43:29,602 - train: [ INFO] - Train: 85 [ 0/41 ( 0%)] Loss: 0.660063 (0.6601) Acc@1: 32.5000 (32.5000) Acc@5: 65.8333 (65.8333) Time: 4.781s, 25.10/s LR: 3.652e-04 P_Replacement: 0.07676562499999999 + +2023-08-10 17:43:55,700 - train: [ INFO] - Train: 85 [ 40/41 (100%)] Loss: 0.627288 (0.6208) Acc@1: 30.0000 (35.2846) Acc@5: 78.3333 (74.0244) Time: 0.753s, 159.35/s LR: 3.652e-04 P_Replacement: 0.07943937284173183 + +2023-08-10 17:44:00,001 - train: [ INFO] - Test: [ 0/16] Time: 2.662 (2.662) Loss: 2.7685 (2.7685) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 45.8333 (45.8333) + +2023-08-10 17:44:03,728 - train: [ INFO] - Test: [ 16/16] Time: 0.152 (0.376) Loss: 2.6877 (2.6805) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (17.7500)Acc@5: 48.7500 (51.7000) + +2023-08-10 17:44:09,893 - train: [ INFO] - Train: 86 [ 0/41 ( 0%)] Loss: 0.573813 (0.5738) Acc@1: 36.6667 (36.6667) Acc@5: 77.5000 (77.5000) Time: 4.146s, 28.94/s LR: 3.608e-04 P_Replacement: 0.079507 + +2023-08-10 17:44:36,853 - train: [ INFO] - Train: 86 [ 40/41 (100%)] Loss: 0.716542 (0.6146) Acc@1: 35.8333 (37.0935) Acc@5: 78.3333 (74.8984) Time: 0.758s, 158.22/s LR: 3.608e-04 P_Replacement: 0.08224366574774017 + +2023-08-10 17:44:40,693 - train: [ INFO] - Test: [ 0/16] Time: 2.493 (2.493) Loss: 2.7082 (2.7082) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 54.1667 (54.1667) + +2023-08-10 17:44:44,458 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.368) Loss: 2.5386 (2.6510) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (17.9000)Acc@5: 52.5000 (55.0000) + +2023-08-10 17:44:50,937 - train: [ INFO] - Train: 87 [ 0/41 ( 0%)] Loss: 0.564524 (0.5645) Acc@1: 33.3333 (33.3333) Acc@5: 77.5000 (77.5000) Time: 4.876s, 24.61/s LR: 3.564e-04 P_Replacement: 0.082312875 + +2023-08-10 17:45:17,261 - train: [ INFO] - Train: 87 [ 40/41 (100%)] Loss: 0.715773 (0.6125) Acc@1: 38.3333 (35.4472) Acc@5: 80.8333 (75.0000) Time: 0.760s, 157.83/s LR: 3.564e-04 P_Replacement: 0.08511319036106557 + +2023-08-10 17:45:21,435 - train: [ INFO] - Test: [ 0/16] Time: 2.466 (2.466) Loss: 2.7180 (2.7180) cLoss: 0.0000 (0.0000) Acc@1: 14.1667 (14.1667)Acc@5: 46.6667 (46.6667) + +2023-08-10 17:45:24,868 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.347) Loss: 2.4937 (2.6536) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (17.5000)Acc@5: 58.7500 (54.3500) + +2023-08-10 17:45:30,790 - train: [ INFO] - Train: 88 [ 0/41 ( 0%)] Loss: 0.688872 (0.6889) Acc@1: 30.8333 (30.8333) Acc@5: 67.5000 (67.5000) Time: 4.506s, 26.63/s LR: 3.519e-04 P_Replacement: 0.085184 + +2023-08-10 17:45:57,475 - train: [ INFO] - Train: 88 [ 40/41 (100%)] Loss: 0.634477 (0.6422) Acc@1: 29.1667 (36.7073) Acc@5: 68.3333 (75.0203) Time: 0.761s, 157.76/s LR: 3.519e-04 P_Replacement: 0.08804869668170805 + +2023-08-10 17:46:01,776 - train: [ INFO] - Test: [ 0/16] Time: 2.801 (2.801) Loss: 2.6958 (2.6958) cLoss: 0.0000 (0.0000) Acc@1: 15.8333 (15.8333)Acc@5: 51.6667 (51.6667) + +2023-08-10 17:46:05,084 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.359) Loss: 2.6929 (2.7303) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (16.0000)Acc@5: 58.7500 (51.2500) + +2023-08-10 17:46:11,752 - train: [ INFO] - Train: 89 [ 0/41 ( 0%)] Loss: 0.477993 (0.4780) Acc@1: 37.5000 (37.5000) Acc@5: 73.3333 (73.3333) Time: 5.200s, 23.08/s LR: 3.475e-04 P_Replacement: 0.08812112500000001 + +2023-08-10 17:46:37,925 - train: [ INFO] - Train: 89 [ 40/41 (100%)] Loss: 0.684043 (0.6440) Acc@1: 39.1667 (35.1220) Acc@5: 77.5000 (74.1667) Time: 0.765s, 156.83/s LR: 3.475e-04 P_Replacement: 0.0910509347096676 + +2023-08-10 17:46:42,498 - train: [ INFO] - Test: [ 0/16] Time: 3.248 (3.248) Loss: 2.5955 (2.5955) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 54.1667 (54.1667) + +2023-08-10 17:46:46,524 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.428) Loss: 2.7667 (2.6556) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (18.3500)Acc@5: 53.7500 (54.5500) + +2023-08-10 17:46:54,637 - train: [ INFO] - Train: 90 [ 0/41 ( 0%)] Loss: 0.695632 (0.6956) Acc@1: 31.6667 (31.6667) Acc@5: 70.0000 (70.0000) Time: 6.165s, 19.46/s LR: 3.430e-04 P_Replacement: 0.09112500000000001 + +2023-08-10 17:47:21,215 - train: [ INFO] - Train: 90 [ 40/41 (100%)] Loss: 0.740042 (0.6644) Acc@1: 34.1667 (34.8171) Acc@5: 72.5000 (74.5732) Time: 0.799s, 150.27/s LR: 3.430e-04 P_Replacement: 0.09412065444494422 + +2023-08-10 17:47:25,265 - train: [ INFO] - Test: [ 0/16] Time: 2.080 (2.080) Loss: 2.5706 (2.5706) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 58.3333 (58.3333) + +2023-08-10 17:47:29,097 - train: [ INFO] - Test: [ 16/16] Time: 0.266 (0.348) Loss: 2.5814 (2.6663) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (18.0500)Acc@5: 57.5000 (54.0000) + +2023-08-10 17:47:35,880 - train: [ INFO] - Train: 91 [ 0/41 ( 0%)] Loss: 0.846481 (0.8465) Acc@1: 40.0000 (40.0000) Acc@5: 72.5000 (72.5000) Time: 4.924s, 24.37/s LR: 3.385e-04 P_Replacement: 0.09419637500000001 + +2023-08-10 17:48:02,484 - train: [ INFO] - Train: 91 [ 40/41 (100%)] Loss: 0.677136 (0.6436) Acc@1: 35.8333 (35.9756) Acc@5: 70.0000 (74.7968) Time: 0.769s, 156.06/s LR: 3.385e-04 P_Replacement: 0.09725860588753792 + +2023-08-10 17:48:07,069 - train: [ INFO] - Test: [ 0/16] Time: 2.709 (2.709) Loss: 2.6490 (2.6490) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 54.1667 (54.1667) + +2023-08-10 17:48:10,704 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.373) Loss: 2.7204 (2.6278) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (19.1500)Acc@5: 47.5000 (54.8500) + +2023-08-10 17:48:17,417 - train: [ INFO] - Train: 92 [ 0/41 ( 0%)] Loss: 0.759918 (0.7599) Acc@1: 35.0000 (35.0000) Acc@5: 80.8333 (80.8333) Time: 5.044s, 23.79/s LR: 3.341e-04 P_Replacement: 0.097336 + +2023-08-10 17:48:43,845 - train: [ INFO] - Train: 92 [ 40/41 (100%)] Loss: 0.524871 (0.6260) Acc@1: 39.1667 (35.8943) Acc@5: 76.6667 (74.8577) Time: 0.768s, 156.34/s LR: 3.341e-04 P_Replacement: 0.10046553903744869 + +2023-08-10 17:48:48,666 - train: [ INFO] - Test: [ 0/16] Time: 3.155 (3.155) Loss: 2.5625 (2.5625) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 53.3333 (53.3333) + +2023-08-10 17:48:52,609 - train: [ INFO] - Test: [ 16/16] Time: 0.137 (0.418) Loss: 2.5566 (2.5645) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (21.1500)Acc@5: 58.7500 (58.9500) + +2023-08-10 17:48:54,579 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-92.pth.tar', 21.150001277923582) + +2023-08-10 17:48:59,595 - train: [ INFO] - Train: 93 [ 0/41 ( 0%)] Loss: 0.759239 (0.7592) Acc@1: 38.3333 (38.3333) Acc@5: 78.3333 (78.3333) Time: 4.988s, 24.06/s LR: 3.296e-04 P_Replacement: 0.10054462500000001 + +2023-08-10 17:49:25,675 - train: [ INFO] - Train: 93 [ 40/41 (100%)] Loss: 0.541047 (0.6355) Acc@1: 32.5000 (36.0772) Acc@5: 75.8333 (75.2236) Time: 0.758s, 158.37/s LR: 3.296e-04 P_Replacement: 0.10374220389467649 + +2023-08-10 17:49:30,393 - train: [ INFO] - Test: [ 0/16] Time: 2.819 (2.819) Loss: 2.5797 (2.5797) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 56.6667 (56.6667) + +2023-08-10 17:49:34,073 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.382) Loss: 2.7249 (2.5937) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (20.6000)Acc@5: 47.5000 (56.5000) + +2023-08-10 17:49:39,971 - train: [ INFO] - Train: 94 [ 0/41 ( 0%)] Loss: 0.705517 (0.7055) Acc@1: 34.1667 (34.1667) Acc@5: 76.6667 (76.6667) Time: 4.500s, 26.67/s LR: 3.251e-04 P_Replacement: 0.10382299999999998 + +2023-08-10 17:50:06,163 - train: [ INFO] - Train: 94 [ 40/41 (100%)] Loss: 0.752311 (0.6541) Acc@1: 37.5000 (36.1585) Acc@5: 75.0000 (75.2439) Time: 0.748s, 160.34/s LR: 3.251e-04 P_Replacement: 0.10708935045922141 + +2023-08-10 17:50:10,212 - train: [ INFO] - Test: [ 0/16] Time: 2.192 (2.192) Loss: 2.5897 (2.5897) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 58.3333 (58.3333) + +2023-08-10 17:50:13,849 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.343) Loss: 2.7365 (2.5608) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (21.6500)Acc@5: 51.2500 (57.3500) + +2023-08-10 17:50:15,805 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-94.pth.tar', 21.650001335144044) + +2023-08-10 17:50:21,063 - train: [ INFO] - Train: 95 [ 0/41 ( 0%)] Loss: 0.708925 (0.7089) Acc@1: 42.5000 (42.5000) Acc@5: 74.1667 (74.1667) Time: 5.241s, 22.90/s LR: 3.206e-04 P_Replacement: 0.10717187499999999 + +2023-08-10 17:50:47,491 - train: [ INFO] - Train: 95 [ 40/41 (100%)] Loss: 0.619442 (0.6622) Acc@1: 36.6667 (36.4837) Acc@5: 71.6667 (75.9146) Time: 0.772s, 155.36/s LR: 3.206e-04 P_Replacement: 0.1105077287310834 + +2023-08-10 17:50:50,941 - train: [ INFO] - Test: [ 0/16] Time: 2.269 (2.269) Loss: 2.5624 (2.5624) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 61.6667 (61.6667) + +2023-08-10 17:50:54,777 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.359) Loss: 2.8035 (2.6480) cLoss: 0.0000 (0.0000) Acc@1: 7.5000 (17.8500)Acc@5: 47.5000 (54.8000) + +2023-08-10 17:51:01,594 - train: [ INFO] - Train: 96 [ 0/41 ( 0%)] Loss: 0.642559 (0.6426) Acc@1: 35.8333 (35.8333) Acc@5: 75.0000 (75.0000) Time: 5.448s, 22.03/s LR: 3.161e-04 P_Replacement: 0.11059199999999998 + +2023-08-10 17:51:28,114 - train: [ INFO] - Train: 96 [ 40/41 (100%)] Loss: 0.646747 (0.6819) Acc@1: 27.5000 (36.8089) Acc@5: 77.5000 (75.6098) Time: 0.780s, 153.92/s LR: 3.161e-04 P_Replacement: 0.11399808871026247 + +2023-08-10 17:51:31,673 - train: [ INFO] - Test: [ 0/16] Time: 2.131 (2.131) Loss: 2.6009 (2.6009) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (12.5000)Acc@5: 57.5000 (57.5000) + +2023-08-10 17:51:35,460 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.348) Loss: 2.6701 (2.5669) cLoss: 0.0000 (0.0000) Acc@1: 12.5000 (20.0500)Acc@5: 48.7500 (56.8500) + +2023-08-10 17:51:41,167 - train: [ INFO] - Train: 97 [ 0/41 ( 0%)] Loss: 0.717716 (0.7177) Acc@1: 35.0000 (35.0000) Acc@5: 77.5000 (77.5000) Time: 4.188s, 28.65/s LR: 3.115e-04 P_Replacement: 0.114084125 + +2023-08-10 17:52:07,006 - train: [ INFO] - Train: 97 [ 40/41 (100%)] Loss: 0.593803 (0.6885) Acc@1: 38.3333 (37.2154) Acc@5: 81.6667 (76.1789) Time: 0.732s, 163.88/s LR: 3.115e-04 P_Replacement: 0.1175611803967586 + +2023-08-10 17:52:10,666 - train: [ INFO] - Test: [ 0/16] Time: 2.207 (2.207) Loss: 2.8199 (2.8199) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 45.0000 (45.0000) + +2023-08-10 17:52:14,297 - train: [ INFO] - Test: [ 16/16] Time: 0.143 (0.343) Loss: 2.5288 (2.6101) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (20.2500)Acc@5: 58.7500 (55.3000) + +2023-08-10 17:52:20,442 - train: [ INFO] - Train: 98 [ 0/41 ( 0%)] Loss: 0.649893 (0.6499) Acc@1: 32.5000 (32.5000) Acc@5: 75.0000 (75.0000) Time: 4.253s, 28.22/s LR: 3.070e-04 P_Replacement: 0.11764899999999999 + +2023-08-10 17:52:46,343 - train: [ INFO] - Train: 98 [ 40/41 (100%)] Loss: 0.622567 (0.6967) Acc@1: 27.5000 (36.4024) Acc@5: 73.3333 (76.2195) Time: 0.735s, 163.18/s LR: 3.070e-04 P_Replacement: 0.12119775379057181 + +2023-08-10 17:52:50,408 - train: [ INFO] - Test: [ 0/16] Time: 2.191 (2.191) Loss: 2.4690 (2.4690) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 59.1667 (59.1667) + +2023-08-10 17:52:54,339 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.360) Loss: 2.4731 (2.5147) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (22.5500)Acc@5: 60.0000 (61.4000) + +2023-08-10 17:52:56,606 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-98.pth.tar', 22.55000114440918) + +2023-08-10 17:53:00,876 - train: [ INFO] - Train: 99 [ 0/41 ( 0%)] Loss: 0.730916 (0.7309) Acc@1: 31.6667 (31.6667) Acc@5: 75.8333 (75.8333) Time: 4.242s, 28.29/s LR: 3.025e-04 P_Replacement: 0.121287375 + +2023-08-10 17:53:26,552 - train: [ INFO] - Train: 99 [ 40/41 (100%)] Loss: 0.623091 (0.6937) Acc@1: 39.1667 (36.6260) Acc@5: 78.3333 (75.9553) Time: 0.730s, 164.46/s LR: 3.025e-04 P_Replacement: 0.12490855889170209 + +2023-08-10 17:53:30,877 - train: [ INFO] - Test: [ 0/16] Time: 2.328 (2.328) Loss: 2.3807 (2.3807) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 65.0000 (65.0000) + +2023-08-10 17:53:34,920 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.375) Loss: 2.8060 (2.5805) cLoss: 0.0000 (0.0000) Acc@1: 13.7500 (20.2000)Acc@5: 48.7500 (57.7000) + +2023-08-10 17:53:41,028 - train: [ INFO] - Train: 100 [ 0/41 ( 0%)] Loss: 0.676572 (0.6766) Acc@1: 40.8333 (40.8333) Acc@5: 83.3333 (83.3333) Time: 4.129s, 29.06/s LR: 2.980e-04 P_Replacement: 0.125 + +2023-08-10 17:54:07,035 - train: [ INFO] - Train: 100 [ 40/41 (100%)] Loss: 0.802535 (0.7036) Acc@1: 36.6667 (37.6220) Acc@5: 76.6667 (75.6098) Time: 0.735s, 163.27/s LR: 2.980e-04 P_Replacement: 0.12869434570014945 + +2023-08-10 17:54:10,895 - train: [ INFO] - Test: [ 0/16] Time: 2.173 (2.173) Loss: 2.4275 (2.4275) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 65.0000 (65.0000) + +2023-08-10 17:54:14,413 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.335) Loss: 2.5815 (2.5357) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (21.8500)Acc@5: 58.7500 (59.0500) + +2023-08-10 17:54:20,297 - train: [ INFO] - Train: 101 [ 0/41 ( 0%)] Loss: 0.757885 (0.7579) Acc@1: 39.1667 (39.1667) Acc@5: 72.5000 (72.5000) Time: 4.067s, 29.50/s LR: 2.934e-04 P_Replacement: 0.12878762500000002 + +2023-08-10 17:54:46,499 - train: [ INFO] - Train: 101 [ 40/41 (100%)] Loss: 0.812795 (0.6814) Acc@1: 28.3333 (37.1545) Acc@5: 70.8333 (76.5244) Time: 0.738s, 162.56/s LR: 2.934e-04 P_Replacement: 0.13255586421591387 + +2023-08-10 17:54:50,774 - train: [ INFO] - Test: [ 0/16] Time: 2.393 (2.393) Loss: 2.6783 (2.6783) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 50.8333 (50.8333) + +2023-08-10 17:54:54,332 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.350) Loss: 2.4283 (2.5501) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (21.0500)Acc@5: 62.5000 (57.7500) + +2023-08-10 17:55:00,512 - train: [ INFO] - Train: 102 [ 0/41 ( 0%)] Loss: 0.772524 (0.7725) Acc@1: 40.8333 (40.8333) Acc@5: 78.3333 (78.3333) Time: 4.080s, 29.41/s LR: 2.889e-04 P_Replacement: 0.13265100000000002 + +2023-08-10 17:55:26,610 - train: [ INFO] - Train: 102 [ 40/41 (100%)] Loss: 0.701193 (0.7026) Acc@1: 40.0000 (36.8496) Acc@5: 79.1667 (75.9959) Time: 0.736s, 163.04/s LR: 2.889e-04 P_Replacement: 0.1364938644389954 + +2023-08-10 17:55:30,725 - train: [ INFO] - Test: [ 0/16] Time: 2.216 (2.216) Loss: 2.4853 (2.4853) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 60.8333 (60.8333) + +2023-08-10 17:55:34,642 - train: [ INFO] - Test: [ 16/16] Time: 0.140 (0.361) Loss: 2.5018 (2.5542) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (21.1000)Acc@5: 61.2500 (57.2000) + +2023-08-10 17:55:40,306 - train: [ INFO] - Train: 103 [ 0/41 ( 0%)] Loss: 0.796075 (0.7961) Acc@1: 39.1667 (39.1667) Acc@5: 75.8333 (75.8333) Time: 4.185s, 28.67/s LR: 2.844e-04 P_Replacement: 0.136590875 + +2023-08-10 17:56:06,759 - train: [ INFO] - Train: 103 [ 40/41 (100%)] Loss: 0.707664 (0.7052) Acc@1: 40.0000 (38.0488) Acc@5: 83.3333 (76.6667) Time: 0.747s, 160.60/s LR: 2.844e-04 P_Replacement: 0.14050909636939396 + +2023-08-10 17:56:11,065 - train: [ INFO] - Test: [ 0/16] Time: 2.360 (2.360) Loss: 2.5017 (2.5017) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 61.6667 (61.6667) + +2023-08-10 17:56:14,770 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.357) Loss: 2.3782 (2.5208) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (23.0000)Acc@5: 61.2500 (59.2000) + +2023-08-10 17:56:16,785 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-103.pth.tar', 23.00000108718872) + +2023-08-10 17:56:21,117 - train: [ INFO] - Train: 104 [ 0/41 ( 0%)] Loss: 0.742178 (0.7422) Acc@1: 32.5000 (32.5000) Acc@5: 81.6667 (81.6667) Time: 4.312s, 27.83/s LR: 2.799e-04 P_Replacement: 0.140608 + +2023-08-10 17:56:47,321 - train: [ INFO] - Train: 104 [ 40/41 (100%)] Loss: 0.666126 (0.7364) Acc@1: 38.3333 (37.1951) Acc@5: 83.3333 (75.8740) Time: 0.744s, 161.24/s LR: 2.799e-04 P_Replacement: 0.1446023100071096 + +2023-08-10 17:56:51,820 - train: [ INFO] - Test: [ 0/16] Time: 2.370 (2.370) Loss: 2.4918 (2.4918) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 60.8333 (60.8333) + +2023-08-10 17:56:55,748 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.370) Loss: 2.4029 (2.4822) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (22.9000)Acc@5: 65.0000 (61.0000) + +2023-08-10 17:57:01,877 - train: [ INFO] - Train: 105 [ 0/41 ( 0%)] Loss: 0.857642 (0.8576) Acc@1: 39.1667 (39.1667) Acc@5: 73.3333 (73.3333) Time: 4.220s, 28.43/s LR: 2.754e-04 P_Replacement: 0.14470312500000002 + +2023-08-10 17:57:28,034 - train: [ INFO] - Train: 105 [ 40/41 (100%)] Loss: 0.785856 (0.7366) Acc@1: 35.0000 (37.3577) Acc@5: 76.6667 (76.3008) Time: 0.741s, 161.98/s LR: 2.754e-04 P_Replacement: 0.14877425535214234 + +2023-08-10 17:57:32,415 - train: [ INFO] - Test: [ 0/16] Time: 2.237 (2.237) Loss: 2.4629 (2.4629) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 63.3333 (63.3333) + +2023-08-10 17:57:36,147 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.351) Loss: 2.4792 (2.5190) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (21.8500)Acc@5: 65.0000 (59.8500) + +2023-08-10 17:57:42,320 - train: [ INFO] - Train: 106 [ 0/41 ( 0%)] Loss: 0.767030 (0.7670) Acc@1: 36.6667 (36.6667) Acc@5: 75.8333 (75.8333) Time: 4.221s, 28.43/s LR: 2.709e-04 P_Replacement: 0.148877 + +2023-08-10 17:58:08,371 - train: [ INFO] - Train: 106 [ 40/41 (100%)] Loss: 0.751756 (0.7448) Acc@1: 38.3333 (37.8049) Acc@5: 72.5000 (76.4431) Time: 0.738s, 162.54/s LR: 2.709e-04 P_Replacement: 0.15302568240449213 + +2023-08-10 17:58:12,813 - train: [ INFO] - Test: [ 0/16] Time: 2.433 (2.433) Loss: 2.4840 (2.4840) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 61.6667 (61.6667) + +2023-08-10 17:58:16,561 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.364) Loss: 2.6893 (2.4786) cLoss: 0.0000 (0.0000) Acc@1: 16.2500 (24.0500)Acc@5: 52.5000 (62.1500) + +2023-08-10 17:58:17,931 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-106.pth.tar', 24.05000114440918) + +2023-08-10 17:58:22,189 - train: [ INFO] - Train: 107 [ 0/41 ( 0%)] Loss: 0.673613 (0.6736) Acc@1: 37.5000 (37.5000) Acc@5: 77.5000 (77.5000) Time: 4.238s, 28.31/s LR: 2.664e-04 P_Replacement: 0.153130375 + +2023-08-10 17:58:48,053 - train: [ INFO] - Train: 107 [ 40/41 (100%)] Loss: 1.058966 (0.7441) Acc@1: 31.6667 (38.2724) Acc@5: 77.5000 (76.4431) Time: 0.734s, 163.45/s LR: 2.664e-04 P_Replacement: 0.157357341164159 + +2023-08-10 17:58:51,986 - train: [ INFO] - Test: [ 0/16] Time: 2.013 (2.013) Loss: 2.5225 (2.5225) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 60.0000 (60.0000) + +2023-08-10 17:58:55,888 - train: [ INFO] - Test: [ 16/16] Time: 0.165 (0.348) Loss: 2.4825 (2.5518) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (21.7000)Acc@5: 61.2500 (58.1500) + +2023-08-10 17:59:02,506 - train: [ INFO] - Train: 108 [ 0/41 ( 0%)] Loss: 0.665254 (0.6653) Acc@1: 41.6667 (41.6667) Acc@5: 78.3333 (78.3333) Time: 4.991s, 24.04/s LR: 2.619e-04 P_Replacement: 0.15746400000000002 + +2023-08-10 17:59:28,934 - train: [ INFO] - Train: 108 [ 40/41 (100%)] Loss: 0.644323 (0.7436) Acc@1: 40.0000 (38.0285) Acc@5: 75.8333 (76.6870) Time: 0.766s, 156.62/s LR: 2.619e-04 P_Replacement: 0.16176998163114295 + +2023-08-10 17:59:33,121 - train: [ INFO] - Test: [ 0/16] Time: 2.249 (2.249) Loss: 2.4075 (2.4075) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 60.0000 (60.0000) + +2023-08-10 17:59:36,819 - train: [ INFO] - Test: [ 16/16] Time: 0.232 (0.350) Loss: 2.4988 (2.4933) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (22.6500)Acc@5: 57.5000 (61.1000) + +2023-08-10 17:59:42,629 - train: [ INFO] - Train: 109 [ 0/41 ( 0%)] Loss: 0.615707 (0.6157) Acc@1: 41.6667 (41.6667) Acc@5: 79.1667 (79.1667) Time: 4.394s, 27.31/s LR: 2.574e-04 P_Replacement: 0.16187862500000003 + +2023-08-10 18:00:08,476 - train: [ INFO] - Train: 109 [ 40/41 (100%)] Loss: 0.579283 (0.7432) Acc@1: 40.0000 (38.1301) Acc@5: 75.8333 (76.9715) Time: 0.738s, 162.70/s LR: 2.574e-04 P_Replacement: 0.16626435380544397 + +2023-08-10 18:00:12,842 - train: [ INFO] - Test: [ 0/16] Time: 2.382 (2.382) Loss: 2.3562 (2.3562) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 68.3333 (68.3333) + +2023-08-10 18:00:16,685 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.366) Loss: 2.4657 (2.4778) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (23.6000)Acc@5: 68.7500 (61.1500) + +2023-08-10 18:00:23,535 - train: [ INFO] - Train: 110 [ 0/41 ( 0%)] Loss: 0.820665 (0.8207) Acc@1: 36.6667 (36.6667) Acc@5: 73.3333 (73.3333) Time: 5.287s, 22.70/s LR: 2.529e-04 P_Replacement: 0.16637500000000005 + +2023-08-10 18:00:50,027 - train: [ INFO] - Train: 110 [ 40/41 (100%)] Loss: 0.899558 (0.7805) Acc@1: 47.5000 (38.4959) Acc@5: 75.8333 (75.8943) Time: 0.775s, 154.83/s LR: 2.529e-04 P_Replacement: 0.17084120768706204 + +2023-08-10 18:00:54,984 - train: [ INFO] - Test: [ 0/16] Time: 2.885 (2.885) Loss: 2.5899 (2.5899) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 59.1667 (59.1667) + +2023-08-10 18:00:58,713 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.389) Loss: 2.4789 (2.4646) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (23.3500)Acc@5: 58.7500 (62.9000) + +2023-08-10 18:01:04,764 - train: [ INFO] - Train: 111 [ 0/41 ( 0%)] Loss: 0.842429 (0.8424) Acc@1: 32.5000 (32.5000) Acc@5: 80.8333 (80.8333) Time: 4.325s, 27.75/s LR: 2.485e-04 P_Replacement: 0.17095387500000003 + +2023-08-10 18:01:30,970 - train: [ INFO] - Train: 111 [ 40/41 (100%)] Loss: 0.882198 (0.8034) Acc@1: 36.6667 (36.1789) Acc@5: 75.8333 (77.2764) Time: 0.745s, 161.16/s LR: 2.485e-04 P_Replacement: 0.1755012932759972 + +2023-08-10 18:01:35,241 - train: [ INFO] - Test: [ 0/16] Time: 2.300 (2.300) Loss: 2.5903 (2.5903) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 63.3333 (63.3333) + +2023-08-10 18:01:38,934 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.352) Loss: 2.3270 (2.4243) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (24.7500)Acc@5: 67.5000 (62.9000) + +2023-08-10 18:01:40,390 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-111.pth.tar', 24.750001258850098) + +2023-08-10 18:01:44,656 - train: [ INFO] - Train: 112 [ 0/41 ( 0%)] Loss: 0.763004 (0.7630) Acc@1: 41.6667 (41.6667) Acc@5: 79.1667 (79.1667) Time: 4.248s, 28.25/s LR: 2.440e-04 P_Replacement: 0.17561600000000005 + +2023-08-10 18:02:10,851 - train: [ INFO] - Train: 112 [ 40/41 (100%)] Loss: 0.782309 (0.7463) Acc@1: 33.3333 (38.6789) Acc@5: 71.6667 (77.2561) Time: 0.742s, 161.63/s LR: 2.440e-04 P_Replacement: 0.18024536057224932 + +2023-08-10 18:02:14,739 - train: [ INFO] - Test: [ 0/16] Time: 2.203 (2.203) Loss: 2.4129 (2.4129) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 60.8333 (60.8333) + +2023-08-10 18:02:18,486 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.350) Loss: 2.3621 (2.4861) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (23.0000)Acc@5: 67.5000 (61.4500) + +2023-08-10 18:02:24,010 - train: [ INFO] - Train: 113 [ 0/41 ( 0%)] Loss: 0.674117 (0.6741) Acc@1: 41.6667 (41.6667) Acc@5: 80.0000 (80.0000) Time: 4.223s, 28.42/s LR: 2.396e-04 P_Replacement: 0.18036212499999996 + +2023-08-10 18:02:50,041 - train: [ INFO] - Train: 113 [ 40/41 (100%)] Loss: 0.686482 (0.7865) Acc@1: 35.8333 (38.0488) Acc@5: 75.8333 (77.0935) Time: 0.738s, 162.65/s LR: 2.396e-04 P_Replacement: 0.18507415957581863 + +2023-08-10 18:02:54,236 - train: [ INFO] - Test: [ 0/16] Time: 2.137 (2.137) Loss: 2.3947 (2.3947) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 63.3333 (63.3333) + +2023-08-10 18:02:58,008 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.348) Loss: 2.3308 (2.4472) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (24.0500)Acc@5: 67.5000 (63.2000) + +2023-08-10 18:03:03,698 - train: [ INFO] - Train: 114 [ 0/41 ( 0%)] Loss: 0.798795 (0.7988) Acc@1: 35.8333 (35.8333) Acc@5: 80.0000 (80.0000) Time: 4.395s, 27.30/s LR: 2.352e-04 P_Replacement: 0.18519299999999994 + +2023-08-10 18:03:29,793 - train: [ INFO] - Train: 114 [ 40/41 (100%)] Loss: 0.592745 (0.7847) Acc@1: 35.0000 (38.8211) Acc@5: 81.6667 (77.8455) Time: 0.744s, 161.37/s LR: 2.352e-04 P_Replacement: 0.18998844028670503 + +2023-08-10 18:03:34,074 - train: [ INFO] - Test: [ 0/16] Time: 2.197 (2.197) Loss: 2.4747 (2.4747) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 61.6667 (61.6667) + +2023-08-10 18:03:37,659 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.340) Loss: 2.3589 (2.4000) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (26.1500)Acc@5: 66.2500 (64.4500) + +2023-08-10 18:03:39,147 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-114.pth.tar', 26.150001373291015) + +2023-08-10 18:03:43,376 - train: [ INFO] - Train: 115 [ 0/41 ( 0%)] Loss: 0.721198 (0.7212) Acc@1: 42.5000 (42.5000) Acc@5: 84.1667 (84.1667) Time: 4.212s, 28.49/s LR: 2.307e-04 P_Replacement: 0.19010937499999997 + +2023-08-10 18:04:09,491 - train: [ INFO] - Train: 115 [ 40/41 (100%)] Loss: 0.640745 (0.7783) Acc@1: 35.0000 (39.1667) Acc@5: 75.0000 (78.0285) Time: 0.740s, 162.24/s LR: 2.307e-04 P_Replacement: 0.19498895270490849 + +2023-08-10 18:04:13,819 - train: [ INFO] - Test: [ 0/16] Time: 2.268 (2.268) Loss: 2.5026 (2.5026) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 55.0000 (55.0000) + +2023-08-10 18:04:17,178 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.331) Loss: 2.5630 (2.4449) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (24.3500)Acc@5: 57.5000 (63.3000) + +2023-08-10 18:04:22,946 - train: [ INFO] - Train: 116 [ 0/41 ( 0%)] Loss: 0.979956 (0.9800) Acc@1: 38.3333 (38.3333) Acc@5: 80.8333 (80.8333) Time: 4.260s, 28.17/s LR: 2.264e-04 P_Replacement: 0.19511199999999995 + +2023-08-10 18:04:49,348 - train: [ INFO] - Train: 116 [ 40/41 (100%)] Loss: 0.649677 (0.8039) Acc@1: 38.3333 (40.0407) Acc@5: 80.0000 (77.9268) Time: 0.748s, 160.47/s LR: 2.264e-04 P_Replacement: 0.200076446830429 + +2023-08-10 18:04:53,555 - train: [ INFO] - Test: [ 0/16] Time: 2.180 (2.180) Loss: 2.5263 (2.5263) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 60.8333 (60.8333) + +2023-08-10 18:04:57,307 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.349) Loss: 2.5008 (2.4033) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (25.6000)Acc@5: 57.5000 (64.0000) + +2023-08-10 18:05:03,901 - train: [ INFO] - Train: 117 [ 0/41 ( 0%)] Loss: 0.655654 (0.6557) Acc@1: 34.1667 (34.1667) Acc@5: 73.3333 (73.3333) Time: 4.554s, 26.35/s LR: 2.220e-04 P_Replacement: 0.20020162499999997 + +2023-08-10 18:05:29,955 - train: [ INFO] - Train: 117 [ 40/41 (100%)] Loss: 0.626419 (0.7950) Acc@1: 45.0000 (39.5528) Acc@5: 81.6667 (78.6789) Time: 0.746s, 160.76/s LR: 2.220e-04 P_Replacement: 0.2052516726632666 + +2023-08-10 18:05:34,562 - train: [ INFO] - Test: [ 0/16] Time: 2.667 (2.667) Loss: 2.3880 (2.3880) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 66.6667 (66.6667) + +2023-08-10 18:05:38,232 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.373) Loss: 2.3106 (2.3825) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (27.0000)Acc@5: 73.7500 (65.6000) + +2023-08-10 18:05:39,858 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-117.pth.tar', 27.00000129699707) + +2023-08-10 18:05:44,467 - train: [ INFO] - Train: 118 [ 0/41 ( 0%)] Loss: 0.763816 (0.7638) Acc@1: 36.6667 (36.6667) Acc@5: 75.0000 (75.0000) Time: 4.580s, 26.20/s LR: 2.176e-04 P_Replacement: 0.20537899999999998 + +2023-08-10 18:06:10,297 - train: [ INFO] - Train: 118 [ 40/41 (100%)] Loss: 0.768249 (0.8151) Acc@1: 47.5000 (39.8577) Acc@5: 88.3333 (77.9472) Time: 0.742s, 161.80/s LR: 2.176e-04 P_Replacement: 0.21051538020342128 + +2023-08-10 18:06:14,342 - train: [ INFO] - Test: [ 0/16] Time: 2.209 (2.209) Loss: 2.5063 (2.5063) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 63.3333 (63.3333) + +2023-08-10 18:06:18,067 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.349) Loss: 2.3527 (2.4027) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (24.8000)Acc@5: 61.2500 (65.7500) + +2023-08-10 18:06:23,606 - train: [ INFO] - Train: 119 [ 0/41 ( 0%)] Loss: 0.739712 (0.7397) Acc@1: 42.5000 (42.5000) Acc@5: 82.5000 (82.5000) Time: 4.106s, 29.23/s LR: 2.133e-04 P_Replacement: 0.21064487499999998 + +2023-08-10 18:06:49,523 - train: [ INFO] - Train: 119 [ 40/41 (100%)] Loss: 1.026820 (0.8578) Acc@1: 40.8333 (39.7154) Acc@5: 84.1667 (78.3943) Time: 0.732s, 163.89/s LR: 2.133e-04 P_Replacement: 0.21586831945089302 + +2023-08-10 18:06:52,979 - train: [ INFO] - Test: [ 0/16] Time: 2.268 (2.268) Loss: 2.2586 (2.2586) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 69.1667 (69.1667) + +2023-08-10 18:06:56,669 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.351) Loss: 2.5003 (2.4144) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (24.7000)Acc@5: 57.5000 (63.1000) + +2023-08-10 18:07:02,558 - train: [ INFO] - Train: 120 [ 0/41 ( 0%)] Loss: 0.849478 (0.8495) Acc@1: 46.6667 (46.6667) Acc@5: 77.5000 (77.5000) Time: 4.164s, 28.82/s LR: 2.090e-04 P_Replacement: 0.21599999999999997 + +2023-08-10 18:07:28,404 - train: [ INFO] - Train: 120 [ 40/41 (100%)] Loss: 0.823589 (0.8363) Acc@1: 36.6667 (40.0203) Acc@5: 72.5000 (78.0894) Time: 0.732s, 163.96/s LR: 2.090e-04 P_Replacement: 0.22131124040568184 + +2023-08-10 18:07:32,532 - train: [ INFO] - Test: [ 0/16] Time: 2.287 (2.287) Loss: 2.5031 (2.5031) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (17.5000)Acc@5: 61.6667 (61.6667) + +2023-08-10 18:07:35,954 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.336) Loss: 2.2944 (2.3860) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (26.2500)Acc@5: 68.7500 (63.7500) + +2023-08-10 18:07:41,629 - train: [ INFO] - Train: 121 [ 0/41 ( 0%)] Loss: 0.723629 (0.7236) Acc@1: 41.6667 (41.6667) Acc@5: 78.3333 (78.3333) Time: 4.241s, 28.29/s LR: 2.047e-04 P_Replacement: 0.221445125 + +2023-08-10 18:08:07,693 - train: [ INFO] - Train: 121 [ 40/41 (100%)] Loss: 0.858896 (0.8636) Acc@1: 41.6667 (40.2439) Acc@5: 80.8333 (78.6789) Time: 0.739s, 162.37/s LR: 2.047e-04 P_Replacement: 0.22684489306778774 + +2023-08-10 18:08:11,311 - train: [ INFO] - Test: [ 0/16] Time: 2.130 (2.130) Loss: 2.5610 (2.5610) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 55.8333 (55.8333) + +2023-08-10 18:08:15,045 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.345) Loss: 2.5189 (2.4275) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (24.2000)Acc@5: 57.5000 (64.7500) + +2023-08-10 18:08:21,531 - train: [ INFO] - Train: 122 [ 0/41 ( 0%)] Loss: 0.671224 (0.6712) Acc@1: 40.8333 (40.8333) Acc@5: 79.1667 (79.1667) Time: 4.495s, 26.70/s LR: 2.004e-04 P_Replacement: 0.226981 + +2023-08-10 18:08:47,461 - train: [ INFO] - Train: 122 [ 40/41 (100%)] Loss: 0.934969 (0.8541) Acc@1: 44.1667 (39.1463) Acc@5: 75.0000 (78.3740) Time: 0.742s, 161.72/s LR: 2.004e-04 P_Replacement: 0.2324700274372107 + +2023-08-10 18:08:51,571 - train: [ INFO] - Test: [ 0/16] Time: 2.015 (2.015) Loss: 2.1947 (2.1947) cLoss: 0.0000 (0.0000) Acc@1: 31.6667 (31.6667)Acc@5: 71.6667 (71.6667) + +2023-08-10 18:08:55,066 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.324) Loss: 2.3462 (2.3484) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (26.8500)Acc@5: 67.5000 (66.1500) + +2023-08-10 18:09:01,124 - train: [ INFO] - Train: 123 [ 0/41 ( 0%)] Loss: 0.749644 (0.7496) Acc@1: 45.8333 (45.8333) Acc@5: 80.0000 (80.0000) Time: 4.344s, 27.62/s LR: 1.962e-04 P_Replacement: 0.23260837499999998 + +2023-08-10 18:09:27,190 - train: [ INFO] - Train: 123 [ 40/41 (100%)] Loss: 0.886983 (0.8620) Acc@1: 40.8333 (39.5325) Acc@5: 80.8333 (78.2520) Time: 0.742s, 161.80/s LR: 1.962e-04 P_Replacement: 0.23818739351395074 + +2023-08-10 18:09:31,304 - train: [ INFO] - Test: [ 0/16] Time: 2.254 (2.254) Loss: 2.4871 (2.4871) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 62.5000 (62.5000) + +2023-08-10 18:09:34,874 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.343) Loss: 2.3939 (2.3701) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (26.8500)Acc@5: 63.7500 (64.6500) + +2023-08-10 18:09:41,199 - train: [ INFO] - Train: 124 [ 0/41 ( 0%)] Loss: 0.869026 (0.8690) Acc@1: 43.3333 (43.3333) Acc@5: 79.1667 (79.1667) Time: 4.412s, 27.20/s LR: 1.920e-04 P_Replacement: 0.23832799999999998 + +2023-08-10 18:10:07,065 - train: [ INFO] - Train: 124 [ 40/41 (100%)] Loss: 0.788213 (0.8745) Acc@1: 44.1667 (40.9756) Acc@5: 78.3333 (79.4919) Time: 0.738s, 162.51/s LR: 1.920e-04 P_Replacement: 0.24399774129800786 + +2023-08-10 18:10:11,181 - train: [ INFO] - Test: [ 0/16] Time: 2.386 (2.386) Loss: 2.4270 (2.4270) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 67.5000 (67.5000) + +2023-08-10 18:10:14,753 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.350) Loss: 2.1458 (2.3727) cLoss: 0.0000 (0.0000) Acc@1: 36.2500 (26.7500)Acc@5: 71.2500 (65.2000) + +2023-08-10 18:10:21,369 - train: [ INFO] - Train: 125 [ 0/41 ( 0%)] Loss: 0.901834 (0.9018) Acc@1: 40.8333 (40.8333) Acc@5: 80.0000 (80.0000) Time: 4.716s, 25.45/s LR: 1.878e-04 P_Replacement: 0.244140625 + +2023-08-10 18:10:47,269 - train: [ INFO] - Train: 125 [ 40/41 (100%)] Loss: 1.006725 (0.8431) Acc@1: 40.8333 (40.9350) Acc@5: 75.0000 (79.1260) Time: 0.747s, 160.71/s LR: 1.878e-04 P_Replacement: 0.24990182078938206 + +2023-08-10 18:10:51,707 - train: [ INFO] - Test: [ 0/16] Time: 2.135 (2.135) Loss: 2.2412 (2.2412) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 65.0000 (65.0000) + +2023-08-10 18:10:55,418 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.344) Loss: 2.4159 (2.3611) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (26.7500)Acc@5: 62.5000 (63.9500) + +2023-08-10 18:11:01,949 - train: [ INFO] - Train: 126 [ 0/41 ( 0%)] Loss: 0.937092 (0.9371) Acc@1: 48.3333 (48.3333) Acc@5: 82.5000 (82.5000) Time: 4.581s, 26.19/s LR: 1.836e-04 P_Replacement: 0.250047 + +2023-08-10 18:11:28,117 - train: [ INFO] - Train: 126 [ 40/41 (100%)] Loss: 0.734765 (0.8816) Acc@1: 45.8333 (40.7927) Acc@5: 82.5000 (79.9594) Time: 0.750s, 160.02/s LR: 1.836e-04 P_Replacement: 0.2559003819880733 + +2023-08-10 18:11:32,425 - train: [ INFO] - Test: [ 0/16] Time: 2.070 (2.070) Loss: 2.4558 (2.4558) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 61.6667 (61.6667) + +2023-08-10 18:11:35,929 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.328) Loss: 2.1805 (2.3667) cLoss: 0.0000 (0.0000) Acc@1: 33.7500 (26.1500)Acc@5: 75.0000 (65.2500) + +2023-08-10 18:11:41,824 - train: [ INFO] - Train: 127 [ 0/41 ( 0%)] Loss: 0.754548 (0.7545) Acc@1: 40.0000 (40.0000) Acc@5: 80.0000 (80.0000) Time: 4.325s, 27.74/s LR: 1.795e-04 P_Replacement: 0.25604787500000004 + +2023-08-10 18:12:07,741 - train: [ INFO] - Train: 127 [ 40/41 (100%)] Loss: 0.959042 (0.8889) Acc@1: 37.5000 (40.9553) Acc@5: 83.3333 (79.4919) Time: 0.738s, 162.70/s LR: 1.795e-04 P_Replacement: 0.26199417489408167 + +2023-08-10 18:12:11,897 - train: [ INFO] - Test: [ 0/16] Time: 2.349 (2.349) Loss: 2.4184 (2.4184) cLoss: 0.0000 (0.0000) Acc@1: 20.0000 (20.0000)Acc@5: 66.6667 (66.6667) + +2023-08-10 18:12:15,521 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.351) Loss: 2.2735 (2.3824) cLoss: 0.0000 (0.0000) Acc@1: 35.0000 (26.5500)Acc@5: 65.0000 (64.0000) + +2023-08-10 18:12:21,520 - train: [ INFO] - Train: 128 [ 0/41 ( 0%)] Loss: 0.838920 (0.8389) Acc@1: 47.5000 (47.5000) Acc@5: 80.8333 (80.8333) Time: 4.113s, 29.18/s LR: 1.754e-04 P_Replacement: 0.26214400000000004 + +2023-08-10 18:12:47,527 - train: [ INFO] - Train: 128 [ 40/41 (100%)] Loss: 0.697770 (0.8713) Acc@1: 35.0000 (41.3821) Acc@5: 76.6667 (79.0041) Time: 0.735s, 163.36/s LR: 1.754e-04 P_Replacement: 0.26818394950740704 + +2023-08-10 18:12:51,880 - train: [ INFO] - Test: [ 0/16] Time: 2.424 (2.424) Loss: 2.3173 (2.3173) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 68.3333 (68.3333) + +2023-08-10 18:12:55,430 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.351) Loss: 2.4514 (2.3826) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (26.9000)Acc@5: 63.7500 (65.7500) + +2023-08-10 18:13:01,204 - train: [ INFO] - Train: 129 [ 0/41 ( 0%)] Loss: 1.088293 (1.0883) Acc@1: 40.0000 (40.0000) Acc@5: 78.3333 (78.3333) Time: 4.384s, 27.37/s LR: 1.713e-04 P_Replacement: 0.26833612500000004 + +2023-08-10 18:13:27,408 - train: [ INFO] - Train: 129 [ 40/41 (100%)] Loss: 1.245969 (0.9081) Acc@1: 36.6667 (41.6667) Acc@5: 69.1667 (80.3659) Time: 0.746s, 160.86/s LR: 1.713e-04 P_Replacement: 0.2744704558280495 + +2023-08-10 18:13:31,466 - train: [ INFO] - Test: [ 0/16] Time: 2.191 (2.191) Loss: 2.4232 (2.4232) cLoss: 0.0000 (0.0000) Acc@1: 18.3333 (18.3333)Acc@5: 65.8333 (65.8333) + +2023-08-10 18:13:35,114 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.344) Loss: 2.3038 (2.3753) cLoss: 0.0000 (0.0000) Acc@1: 33.7500 (26.1000)Acc@5: 67.5000 (65.1500) + +2023-08-10 18:13:41,117 - train: [ INFO] - Train: 130 [ 0/41 ( 0%)] Loss: 1.183929 (1.1839) Acc@1: 35.0000 (35.0000) Acc@5: 75.0000 (75.0000) Time: 4.519s, 26.55/s LR: 1.672e-04 P_Replacement: 0.274625 + +2023-08-10 18:14:06,743 - train: [ INFO] - Train: 130 [ 40/41 (100%)] Loss: 0.738698 (0.9117) Acc@1: 43.3333 (41.8089) Acc@5: 81.6667 (80.1423) Time: 0.735s, 163.22/s LR: 1.672e-04 P_Replacement: 0.2808544438560091 + +2023-08-10 18:14:10,209 - train: [ INFO] - Test: [ 0/16] Time: 2.254 (2.254) Loss: 2.3336 (2.3336) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 69.1667 (69.1667) + +2023-08-10 18:14:13,909 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.350) Loss: 2.3265 (2.3450) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (26.3000)Acc@5: 66.2500 (68.3500) + +2023-08-10 18:14:19,226 - train: [ INFO] - Train: 131 [ 0/41 ( 0%)] Loss: 1.002616 (1.0026) Acc@1: 42.5000 (42.5000) Acc@5: 80.8333 (80.8333) Time: 3.829s, 31.34/s LR: 1.632e-04 P_Replacement: 0.281011375 + +2023-08-10 18:14:45,299 - train: [ INFO] - Train: 131 [ 40/41 (100%)] Loss: 1.000878 (0.9125) Acc@1: 39.1667 (42.2358) Acc@5: 80.8333 (80.4065) Time: 0.729s, 164.55/s LR: 1.632e-04 P_Replacement: 0.28733666359128573 + +2023-08-10 18:14:48,756 - train: [ INFO] - Test: [ 0/16] Time: 2.141 (2.141) Loss: 2.3728 (2.3728) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 65.0000 (65.0000) + +2023-08-10 18:14:52,457 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.344) Loss: 2.4969 (2.3368) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (26.8500)Acc@5: 63.7500 (67.4000) + +2023-08-10 18:14:58,413 - train: [ INFO] - Train: 132 [ 0/41 ( 0%)] Loss: 0.830820 (0.8308) Acc@1: 45.0000 (45.0000) Acc@5: 82.5000 (82.5000) Time: 4.108s, 29.21/s LR: 1.592e-04 P_Replacement: 0.28749600000000003 + +2023-08-10 18:15:24,701 - train: [ INFO] - Train: 132 [ 40/41 (100%)] Loss: 0.872557 (0.8841) Acc@1: 44.1667 (42.0935) Acc@5: 76.6667 (81.0976) Time: 0.741s, 161.88/s LR: 1.592e-04 P_Replacement: 0.2939178650338794 + +2023-08-10 18:15:28,824 - train: [ INFO] - Test: [ 0/16] Time: 2.147 (2.147) Loss: 2.3370 (2.3370) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 68.3333 (68.3333) + +2023-08-10 18:15:32,587 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.348) Loss: 2.4637 (2.3604) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (26.2000)Acc@5: 62.5000 (64.9500) + +2023-08-10 18:15:38,916 - train: [ INFO] - Train: 133 [ 0/41 ( 0%)] Loss: 0.898625 (0.8986) Acc@1: 43.3333 (43.3333) Acc@5: 80.8333 (80.8333) Time: 4.273s, 28.08/s LR: 1.553e-04 P_Replacement: 0.29407962500000007 + +2023-08-10 18:16:04,792 - train: [ INFO] - Train: 133 [ 40/41 (100%)] Loss: 0.845146 (0.9202) Acc@1: 45.8333 (42.3781) Acc@5: 83.3333 (80.1829) Time: 0.735s, 163.20/s LR: 1.553e-04 P_Replacement: 0.3005987981837902 + +2023-08-10 18:16:08,836 - train: [ INFO] - Test: [ 0/16] Time: 2.307 (2.307) Loss: 2.1963 (2.1963) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 71.6667 (71.6667) + +2023-08-10 18:16:12,491 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.351) Loss: 2.5242 (2.3563) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (26.7500)Acc@5: 58.7500 (66.1000) + +2023-08-10 18:16:18,192 - train: [ INFO] - Train: 134 [ 0/41 ( 0%)] Loss: 0.941679 (0.9417) Acc@1: 45.0000 (45.0000) Acc@5: 86.6667 (86.6667) Time: 4.264s, 28.14/s LR: 1.514e-04 P_Replacement: 0.30076300000000006 + +2023-08-10 18:16:44,088 - train: [ INFO] - Train: 134 [ 40/41 (100%)] Loss: 1.174090 (0.9638) Acc@1: 35.8333 (43.6382) Acc@5: 76.6667 (81.7073) Time: 0.736s, 163.14/s LR: 1.514e-04 P_Replacement: 0.30738021304101804 + +2023-08-10 18:16:48,256 - train: [ INFO] - Test: [ 0/16] Time: 2.125 (2.125) Loss: 2.2733 (2.2733) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 65.8333 (65.8333) + +2023-08-10 18:16:52,142 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.354) Loss: 2.2659 (2.3378) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (26.6000)Acc@5: 62.5000 (66.1000) + +2023-08-10 18:16:58,217 - train: [ INFO] - Train: 135 [ 0/41 ( 0%)] Loss: 0.930886 (0.9309) Acc@1: 44.1667 (44.1667) Acc@5: 84.1667 (84.1667) Time: 4.084s, 29.39/s LR: 1.475e-04 P_Replacement: 0.30754687500000005 + +2023-08-10 18:17:24,134 - train: [ INFO] - Train: 135 [ 40/41 (100%)] Loss: 0.967090 (0.9522) Acc@1: 42.5000 (42.8659) Acc@5: 85.0000 (81.5244) Time: 0.732s, 164.01/s LR: 1.475e-04 P_Replacement: 0.31426285960556294 + +2023-08-10 18:17:28,402 - train: [ INFO] - Test: [ 0/16] Time: 2.196 (2.196) Loss: 2.4181 (2.4181) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 61.6667 (61.6667) + +2023-08-10 18:17:32,393 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.364) Loss: 2.5078 (2.3357) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (27.5500)Acc@5: 61.2500 (66.5500) + +2023-08-10 18:17:34,295 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-135.pth.tar', 27.55000144958496) + +2023-08-10 18:17:38,439 - train: [ INFO] - Train: 136 [ 0/41 ( 0%)] Loss: 0.839056 (0.8391) Acc@1: 44.1667 (44.1667) Acc@5: 78.3333 (78.3333) Time: 4.126s, 29.08/s LR: 1.437e-04 P_Replacement: 0.31443200000000004 + +2023-08-10 18:18:04,332 - train: [ INFO] - Train: 136 [ 40/41 (100%)] Loss: 1.124981 (0.9827) Acc@1: 41.6667 (43.1707) Acc@5: 74.1667 (81.1382) Time: 0.732s, 163.90/s LR: 1.437e-04 P_Replacement: 0.32124748787742496 + +2023-08-10 18:18:08,573 - train: [ INFO] - Test: [ 0/16] Time: 2.154 (2.154) Loss: 2.2956 (2.2956) cLoss: 0.0000 (0.0000) Acc@1: 35.8333 (35.8333)Acc@5: 68.3333 (68.3333) + +2023-08-10 18:18:12,115 - train: [ INFO] - Test: [ 16/16] Time: 0.158 (0.335) Loss: 2.3159 (2.3418) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (27.2000)Acc@5: 65.0000 (66.1500) + +2023-08-10 18:18:18,366 - train: [ INFO] - Train: 137 [ 0/41 ( 0%)] Loss: 1.110280 (1.1103) Acc@1: 36.6667 (36.6667) Acc@5: 73.3333 (73.3333) Time: 4.289s, 27.98/s LR: 1.399e-04 P_Replacement: 0.3214191250000001 + +2023-08-10 18:18:44,452 - train: [ INFO] - Train: 137 [ 40/41 (100%)] Loss: 0.983330 (0.9527) Acc@1: 36.6667 (43.9431) Acc@5: 71.6667 (81.6870) Time: 0.741s, 161.98/s LR: 1.399e-04 P_Replacement: 0.3283348478566039 + +2023-08-10 18:18:48,515 - train: [ INFO] - Test: [ 0/16] Time: 2.233 (2.233) Loss: 2.3810 (2.3810) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 64.1667 (64.1667) + +2023-08-10 18:18:52,438 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.362) Loss: 2.1755 (2.3215) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (28.7500)Acc@5: 78.7500 (66.8000) + +2023-08-10 18:18:54,237 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-137.pth.tar', 28.75000160217285) + +2023-08-10 18:18:58,536 - train: [ INFO] - Train: 138 [ 0/41 ( 0%)] Loss: 0.775677 (0.7757) Acc@1: 44.1667 (44.1667) Acc@5: 79.1667 (79.1667) Time: 4.281s, 28.03/s LR: 1.361e-04 P_Replacement: 0.32850899999999994 + +2023-08-10 18:19:24,643 - train: [ INFO] - Train: 138 [ 40/41 (100%)] Loss: 1.001366 (0.9593) Acc@1: 41.6667 (44.3902) Acc@5: 81.6667 (81.9919) Time: 0.741s, 161.92/s LR: 1.361e-04 P_Replacement: 0.3355256895431 + +2023-08-10 18:19:28,280 - train: [ INFO] - Test: [ 0/16] Time: 2.221 (2.221) Loss: 2.4147 (2.4147) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 62.5000 (62.5000) + +2023-08-10 18:19:31,681 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.331) Loss: 2.4079 (2.3459) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (28.1000)Acc@5: 58.7500 (66.1500) + +2023-08-10 18:19:37,482 - train: [ INFO] - Train: 139 [ 0/41 ( 0%)] Loss: 1.210743 (1.2107) Acc@1: 45.0000 (45.0000) Acc@5: 86.6667 (86.6667) Time: 4.314s, 27.82/s LR: 1.324e-04 P_Replacement: 0.33570237499999994 + +2023-08-10 18:20:03,710 - train: [ INFO] - Train: 139 [ 40/41 (100%)] Loss: 0.877912 (1.0003) Acc@1: 49.1667 (44.6951) Acc@5: 80.8333 (82.0325) Time: 0.745s, 161.10/s LR: 1.324e-04 P_Replacement: 0.3428207629369132 + +2023-08-10 18:20:07,831 - train: [ INFO] - Test: [ 0/16] Time: 2.180 (2.180) Loss: 2.2381 (2.2381) cLoss: 0.0000 (0.0000) Acc@1: 34.1667 (34.1667)Acc@5: 70.0000 (70.0000) + +2023-08-10 18:20:11,239 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.329) Loss: 2.2690 (2.3131) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (28.0500)Acc@5: 62.5000 (67.9000) + +2023-08-10 18:20:17,250 - train: [ INFO] - Train: 140 [ 0/41 ( 0%)] Loss: 1.191947 (1.1919) Acc@1: 45.0000 (45.0000) Acc@5: 84.1667 (84.1667) Time: 4.437s, 27.04/s LR: 1.287e-04 P_Replacement: 0.3429999999999999 + +2023-08-10 18:20:43,123 - train: [ INFO] - Train: 140 [ 40/41 (100%)] Loss: 1.053771 (0.9779) Acc@1: 52.5000 (44.5528) Acc@5: 90.0000 (81.9715) Time: 0.739s, 162.33/s LR: 1.287e-04 P_Replacement: 0.3502208180380435 + +2023-08-10 18:20:47,227 - train: [ INFO] - Test: [ 0/16] Time: 2.402 (2.402) Loss: 2.3485 (2.3485) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 66.6667 (66.6667) + +2023-08-10 18:20:50,695 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.345) Loss: 2.2527 (2.3377) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (27.0500)Acc@5: 71.2500 (66.3500) + +2023-08-10 18:20:56,720 - train: [ INFO] - Train: 141 [ 0/41 ( 0%)] Loss: 0.953925 (0.9539) Acc@1: 44.1667 (44.1667) Acc@5: 85.0000 (85.0000) Time: 4.218s, 28.45/s LR: 1.251e-04 P_Replacement: 0.35040262499999997 + +2023-08-10 18:21:22,881 - train: [ INFO] - Train: 141 [ 40/41 (100%)] Loss: 1.026581 (1.0094) Acc@1: 46.6667 (45.0610) Acc@5: 75.8333 (81.7886) Time: 0.741s, 161.96/s LR: 1.251e-04 P_Replacement: 0.3577266048464909 + +2023-08-10 18:21:27,175 - train: [ INFO] - Test: [ 0/16] Time: 2.515 (2.515) Loss: 2.2041 (2.2041) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (32.5000)Acc@5: 74.1667 (74.1667) + +2023-08-10 18:21:30,632 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.351) Loss: 2.5305 (2.3204) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (28.5500)Acc@5: 58.7500 (67.4000) + +2023-08-10 18:21:36,848 - train: [ INFO] - Train: 142 [ 0/41 ( 0%)] Loss: 0.947774 (0.9478) Acc@1: 46.6667 (46.6667) Acc@5: 82.5000 (82.5000) Time: 4.597s, 26.10/s LR: 1.215e-04 P_Replacement: 0.3579109999999999 + +2023-08-10 18:22:02,611 - train: [ INFO] - Train: 142 [ 40/41 (100%)] Loss: 0.955521 (1.0172) Acc@1: 40.0000 (45.3049) Acc@5: 83.3333 (82.7846) Time: 0.740s, 162.06/s LR: 1.215e-04 P_Replacement: 0.3653388733622553 + +2023-08-10 18:22:06,746 - train: [ INFO] - Test: [ 0/16] Time: 2.344 (2.344) Loss: 2.3253 (2.3253) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (32.5000)Acc@5: 65.0000 (65.0000) + +2023-08-10 18:22:10,257 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.344) Loss: 2.3362 (2.3727) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (26.8000)Acc@5: 70.0000 (66.0000) + +2023-08-10 18:22:16,014 - train: [ INFO] - Train: 143 [ 0/41 ( 0%)] Loss: 0.925592 (0.9256) Acc@1: 40.8333 (40.8333) Acc@5: 82.5000 (82.5000) Time: 4.455s, 26.94/s LR: 1.179e-04 P_Replacement: 0.36552587499999994 + +2023-08-10 18:22:42,182 - train: [ INFO] - Train: 143 [ 40/41 (100%)] Loss: 1.049110 (1.0299) Acc@1: 52.5000 (46.0976) Acc@5: 81.6667 (83.5976) Time: 0.747s, 160.68/s LR: 1.179e-04 P_Replacement: 0.3730583735853368 + +2023-08-10 18:22:46,232 - train: [ INFO] - Test: [ 0/16] Time: 2.128 (2.128) Loss: 2.2200 (2.2200) cLoss: 0.0000 (0.0000) Acc@1: 31.6667 (31.6667)Acc@5: 72.5000 (72.5000) + +2023-08-10 18:22:50,074 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.351) Loss: 2.5744 (2.3167) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (29.0000)Acc@5: 65.0000 (68.3500) + +2023-08-10 18:22:51,522 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-143.pth.tar', 29.000001525878908) + +2023-08-10 18:22:56,044 - train: [ INFO] - Train: 144 [ 0/41 ( 0%)] Loss: 1.099457 (1.0995) Acc@1: 48.3333 (48.3333) Acc@5: 85.0000 (85.0000) Time: 4.504s, 26.65/s LR: 1.144e-04 P_Replacement: 0.37324799999999997 + +2023-08-10 18:23:22,200 - train: [ INFO] - Train: 144 [ 40/41 (100%)] Loss: 0.823395 (1.0089) Acc@1: 40.0000 (46.3415) Acc@5: 82.5000 (82.3781) Time: 0.748s, 160.48/s LR: 1.144e-04 P_Replacement: 0.3808858555157354 + +2023-08-10 18:23:25,935 - train: [ INFO] - Test: [ 0/16] Time: 2.189 (2.189) Loss: 2.4349 (2.4349) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 56.6667 (56.6667) + +2023-08-10 18:23:29,506 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.339) Loss: 2.3744 (2.3765) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (26.3500)Acc@5: 65.0000 (65.5000) + +2023-08-10 18:23:35,684 - train: [ INFO] - Train: 145 [ 0/41 ( 0%)] Loss: 1.056320 (1.0563) Acc@1: 44.1667 (44.1667) Acc@5: 80.8333 (80.8333) Time: 4.442s, 27.02/s LR: 1.109e-04 P_Replacement: 0.381078125 + +2023-08-10 18:24:01,823 - train: [ INFO] - Train: 145 [ 40/41 (100%)] Loss: 1.057031 (1.0618) Acc@1: 45.0000 (46.7480) Acc@5: 82.5000 (83.6382) Time: 0.746s, 160.92/s LR: 1.109e-04 P_Replacement: 0.388822069153451 + +2023-08-10 18:24:06,295 - train: [ INFO] - Test: [ 0/16] Time: 2.136 (2.136) Loss: 2.3750 (2.3750) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 60.8333 (60.8333) + +2023-08-10 18:24:09,894 - train: [ INFO] - Test: [ 16/16] Time: 0.168 (0.337) Loss: 2.3077 (2.3550) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (26.8500)Acc@5: 68.7500 (65.9000) + +2023-08-10 18:24:17,734 - train: [ INFO] - Train: 146 [ 0/41 ( 0%)] Loss: 1.008894 (1.0089) Acc@1: 54.1667 (54.1667) Acc@5: 84.1667 (84.1667) Time: 5.914s, 20.29/s LR: 1.075e-04 P_Replacement: 0.38901699999999995 + +2023-08-10 18:24:44,288 - train: [ INFO] - Train: 146 [ 40/41 (100%)] Loss: 0.852850 (1.0501) Acc@1: 46.6667 (46.9919) Acc@5: 80.0000 (83.9228) Time: 0.792s, 151.54/s LR: 1.075e-04 P_Replacement: 0.39686776449848377 + +2023-08-10 18:24:48,031 - train: [ INFO] - Test: [ 0/16] Time: 2.561 (2.561) Loss: 2.2539 (2.2539) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 70.8333 (70.8333) + +2023-08-10 18:24:51,477 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.353) Loss: 2.1740 (2.3785) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (26.7000)Acc@5: 68.7500 (66.0500) + +2023-08-10 18:24:57,909 - train: [ INFO] - Train: 147 [ 0/41 ( 0%)] Loss: 1.278566 (1.2786) Acc@1: 49.1667 (49.1667) Acc@5: 83.3333 (83.3333) Time: 4.370s, 27.46/s LR: 1.042e-04 P_Replacement: 0.397065375 + +2023-08-10 18:25:23,952 - train: [ INFO] - Train: 147 [ 40/41 (100%)] Loss: 1.113415 (1.0653) Acc@1: 46.6667 (46.3211) Acc@5: 80.0000 (83.4553) Time: 0.742s, 161.78/s LR: 1.042e-04 P_Replacement: 0.40502369155083356 + +2023-08-10 18:25:28,132 - train: [ INFO] - Test: [ 0/16] Time: 2.385 (2.385) Loss: 2.1687 (2.1687) cLoss: 0.0000 (0.0000) Acc@1: 35.8333 (35.8333)Acc@5: 73.3333 (73.3333) + +2023-08-10 18:25:31,676 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.349) Loss: 2.3575 (2.3737) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (26.1500)Acc@5: 65.0000 (65.9000) + +2023-08-10 18:25:37,789 - train: [ INFO] - Train: 148 [ 0/41 ( 0%)] Loss: 1.314839 (1.3148) Acc@1: 50.8333 (50.8333) Acc@5: 87.5000 (87.5000) Time: 4.121s, 29.12/s LR: 1.008e-04 P_Replacement: 0.405224 + +2023-08-10 18:26:03,625 - train: [ INFO] - Train: 148 [ 40/41 (100%)] Loss: 1.237306 (1.0579) Acc@1: 42.5000 (46.6463) Acc@5: 80.0000 (84.4512) Time: 0.731s, 164.25/s LR: 1.008e-04 P_Replacement: 0.4132906003105004 + +2023-08-10 18:26:07,875 - train: [ INFO] - Test: [ 0/16] Time: 2.344 (2.344) Loss: 2.3782 (2.3782) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 68.3333 (68.3333) + +2023-08-10 18:26:11,354 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.343) Loss: 2.2943 (2.3403) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (27.9500)Acc@5: 77.5000 (66.9000) + +2023-08-10 18:26:17,533 - train: [ INFO] - Train: 149 [ 0/41 ( 0%)] Loss: 1.008614 (1.0086) Acc@1: 50.0000 (50.0000) Acc@5: 80.8333 (80.8333) Time: 4.560s, 26.31/s LR: 9.757e-05 P_Replacement: 0.413493625 + +2023-08-10 18:26:43,451 - train: [ INFO] - Train: 149 [ 40/41 (100%)] Loss: 1.357683 (1.0832) Acc@1: 45.8333 (47.7236) Acc@5: 77.5000 (84.0041) Time: 0.743s, 161.45/s LR: 9.757e-05 P_Replacement: 0.42166924077748436 + +2023-08-10 18:26:47,175 - train: [ INFO] - Test: [ 0/16] Time: 2.225 (2.225) Loss: 2.3348 (2.3348) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 73.3333 (73.3333) + +2023-08-10 18:26:50,924 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.351) Loss: 2.5298 (2.3047) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (28.9500)Acc@5: 56.2500 (68.0000) + +2023-08-10 18:26:57,144 - train: [ INFO] - Train: 150 [ 0/41 ( 0%)] Loss: 1.083139 (1.0831) Acc@1: 52.5000 (52.5000) Acc@5: 82.5000 (82.5000) Time: 4.880s, 24.59/s LR: 9.434e-05 P_Replacement: 0.421875 + +2023-08-10 18:27:23,692 - train: [ INFO] - Train: 150 [ 40/41 (100%)] Loss: 1.099989 (1.0999) Acc@1: 45.8333 (47.7439) Acc@5: 80.8333 (83.9431) Time: 0.766s, 156.56/s LR: 9.434e-05 P_Replacement: 0.4301603629517854 + +2023-08-10 18:27:28,077 - train: [ INFO] - Test: [ 0/16] Time: 2.440 (2.440) Loss: 2.1656 (2.1656) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 71.6667 (71.6667) + +2023-08-10 18:27:31,499 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.345) Loss: 2.2996 (2.3555) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.7500)Acc@5: 68.7500 (66.2500) + +2023-08-10 18:27:37,184 - train: [ INFO] - Train: 151 [ 0/41 ( 0%)] Loss: 1.131630 (1.1316) Acc@1: 50.8333 (50.8333) Acc@5: 84.1667 (84.1667) Time: 4.372s, 27.44/s LR: 9.117e-05 P_Replacement: 0.430368875 + +2023-08-10 18:28:03,533 - train: [ INFO] - Train: 151 [ 40/41 (100%)] Loss: 1.073267 (1.1008) Acc@1: 43.3333 (48.4959) Acc@5: 83.3333 (84.6545) Time: 0.749s, 160.16/s LR: 9.117e-05 P_Replacement: 0.43876471683340346 + +2023-08-10 18:28:07,134 - train: [ INFO] - Test: [ 0/16] Time: 2.141 (2.141) Loss: 2.6056 (2.6056) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 57.5000 (57.5000) + +2023-08-10 18:28:10,821 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.343) Loss: 2.3466 (2.3318) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (27.3500)Acc@5: 65.0000 (67.5000) + +2023-08-10 18:28:17,533 - train: [ INFO] - Train: 152 [ 0/41 ( 0%)] Loss: 1.080001 (1.0800) Acc@1: 50.0000 (50.0000) Acc@5: 84.1667 (84.1667) Time: 4.826s, 24.87/s LR: 8.805e-05 P_Replacement: 0.43897600000000003 + +2023-08-10 18:28:43,430 - train: [ INFO] - Train: 152 [ 40/41 (100%)] Loss: 1.246287 (1.1150) Acc@1: 47.5000 (48.8211) Acc@5: 84.1667 (84.4106) Time: 0.749s, 160.15/s LR: 8.805e-05 P_Replacement: 0.44748305242233866 + +2023-08-10 18:28:47,875 - train: [ INFO] - Test: [ 0/16] Time: 2.275 (2.275) Loss: 2.2654 (2.2654) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 68.3333 (68.3333) + +2023-08-10 18:28:51,429 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.343) Loss: 2.5298 (2.3086) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (29.2000)Acc@5: 66.2500 (68.0000) + +2023-08-10 18:28:52,759 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-152.pth.tar', 29.200001411437988) + +2023-08-10 18:28:57,267 - train: [ INFO] - Train: 153 [ 0/41 ( 0%)] Loss: 1.380358 (1.3804) Acc@1: 53.3333 (53.3333) Acc@5: 88.3333 (88.3333) Time: 4.479s, 26.79/s LR: 8.498e-05 P_Replacement: 0.44769712500000003 + +2023-08-10 18:29:23,320 - train: [ INFO] - Train: 153 [ 40/41 (100%)] Loss: 1.302492 (1.1093) Acc@1: 45.8333 (49.3089) Acc@5: 81.6667 (85.1626) Time: 0.745s, 161.15/s LR: 8.498e-05 P_Replacement: 0.4563161197185909 + +2023-08-10 18:29:27,641 - train: [ INFO] - Test: [ 0/16] Time: 2.205 (2.205) Loss: 2.3631 (2.3631) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 66.6667 (66.6667) + +2023-08-10 18:29:31,370 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.349) Loss: 2.5033 (2.3042) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (28.3500)Acc@5: 63.7500 (67.9000) + +2023-08-10 18:29:37,852 - train: [ INFO] - Train: 154 [ 0/41 ( 0%)] Loss: 0.949072 (0.9491) Acc@1: 53.3333 (53.3333) Acc@5: 92.5000 (92.5000) Time: 4.493s, 26.71/s LR: 8.196e-05 P_Replacement: 0.456533 + +2023-08-10 18:30:04,007 - train: [ INFO] - Train: 154 [ 40/41 (100%)] Loss: 1.239561 (1.1190) Acc@1: 55.0000 (48.7602) Acc@5: 90.0000 (85.4268) Time: 0.747s, 160.54/s LR: 8.196e-05 P_Replacement: 0.4652646687221602 + +2023-08-10 18:30:08,345 - train: [ INFO] - Test: [ 0/16] Time: 2.258 (2.258) Loss: 2.0247 (2.0247) cLoss: 0.0000 (0.0000) Acc@1: 38.3333 (38.3333)Acc@5: 79.1667 (79.1667) + +2023-08-10 18:30:11,820 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.337) Loss: 2.3200 (2.3018) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (28.6500)Acc@5: 71.2500 (68.1500) + +2023-08-10 18:30:17,961 - train: [ INFO] - Train: 155 [ 0/41 ( 0%)] Loss: 1.142207 (1.1422) Acc@1: 55.0000 (55.0000) Acc@5: 83.3333 (83.3333) Time: 4.276s, 28.06/s LR: 7.900e-05 P_Replacement: 0.46548437500000006 + +2023-08-10 18:30:43,825 - train: [ INFO] - Train: 155 [ 40/41 (100%)] Loss: 1.086388 (1.1310) Acc@1: 45.8333 (49.5935) Acc@5: 84.1667 (85.1829) Time: 0.735s, 163.25/s LR: 7.900e-05 P_Replacement: 0.47432944943304656 + +2023-08-10 18:30:48,026 - train: [ INFO] - Test: [ 0/16] Time: 2.117 (2.117) Loss: 2.1027 (2.1027) cLoss: 0.0000 (0.0000) Acc@1: 33.3333 (33.3333)Acc@5: 71.6667 (71.6667) + +2023-08-10 18:30:51,707 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.341) Loss: 2.2287 (2.2836) cLoss: 0.0000 (0.0000) Acc@1: 33.7500 (29.0500)Acc@5: 67.5000 (68.3500) + +2023-08-10 18:30:57,698 - train: [ INFO] - Train: 156 [ 0/41 ( 0%)] Loss: 1.397304 (1.3973) Acc@1: 45.8333 (45.8333) Acc@5: 84.1667 (84.1667) Time: 4.524s, 26.52/s LR: 7.609e-05 P_Replacement: 0.47455200000000003 + +2023-08-10 18:31:23,858 - train: [ INFO] - Train: 156 [ 40/41 (100%)] Loss: 1.227807 (1.1446) Acc@1: 55.8333 (50.0407) Acc@5: 92.5000 (86.2602) Time: 0.748s, 160.35/s LR: 7.609e-05 P_Replacement: 0.48351121185125007 + +2023-08-10 18:31:28,083 - train: [ INFO] - Test: [ 0/16] Time: 2.131 (2.131) Loss: 2.4227 (2.4227) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 69.1667 (69.1667) + +2023-08-10 18:31:31,840 - train: [ INFO] - Test: [ 16/16] Time: 0.138 (0.346) Loss: 2.3718 (2.3077) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (28.5500)Acc@5: 68.7500 (69.2000) + +2023-08-10 18:31:38,179 - train: [ INFO] - Train: 157 [ 0/41 ( 0%)] Loss: 1.049072 (1.0491) Acc@1: 57.5000 (57.5000) Acc@5: 86.6667 (86.6667) Time: 4.743s, 25.30/s LR: 7.323e-05 P_Replacement: 0.48373662500000003 + +2023-08-10 18:32:04,697 - train: [ INFO] - Train: 157 [ 40/41 (100%)] Loss: 1.313542 (1.1558) Acc@1: 50.0000 (50.4268) Acc@5: 80.8333 (86.1992) Time: 0.762s, 157.40/s LR: 7.323e-05 P_Replacement: 0.49281070597677057 + +2023-08-10 18:32:09,062 - train: [ INFO] - Test: [ 0/16] Time: 2.229 (2.229) Loss: 2.5036 (2.5036) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 64.1667 (64.1667) + +2023-08-10 18:32:12,632 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.341) Loss: 2.2334 (2.3027) cLoss: 0.0000 (0.0000) Acc@1: 36.2500 (28.6000)Acc@5: 67.5000 (68.5000) + +2023-08-10 18:32:19,519 - train: [ INFO] - Train: 158 [ 0/41 ( 0%)] Loss: 1.106803 (1.1068) Acc@1: 46.6667 (46.6667) Acc@5: 81.6667 (81.6667) Time: 5.183s, 23.15/s LR: 7.043e-05 P_Replacement: 0.49303900000000006 + +2023-08-10 18:32:45,591 - train: [ INFO] - Train: 158 [ 40/41 (100%)] Loss: 1.254923 (1.1931) Acc@1: 39.1667 (50.9553) Acc@5: 83.3333 (85.7927) Time: 0.762s, 157.44/s LR: 7.043e-05 P_Replacement: 0.5022286818096082 + +2023-08-10 18:32:50,383 - train: [ INFO] - Test: [ 0/16] Time: 2.659 (2.659) Loss: 2.5601 (2.5601) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 64.1667 (64.1667) + +2023-08-10 18:32:53,887 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.363) Loss: 2.3542 (2.2979) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (28.7500)Acc@5: 67.5000 (68.7000) + +2023-08-10 18:33:01,446 - train: [ INFO] - Train: 159 [ 0/41 ( 0%)] Loss: 1.080566 (1.0806) Acc@1: 50.0000 (50.0000) Acc@5: 87.5000 (87.5000) Time: 5.959s, 20.14/s LR: 6.768e-05 P_Replacement: 0.5024598750000001 + +2023-08-10 18:33:28,120 - train: [ INFO] - Train: 159 [ 40/41 (100%)] Loss: 1.092416 (1.1688) Acc@1: 53.3333 (50.0813) Acc@5: 85.0000 (86.1585) Time: 0.796s, 150.77/s LR: 6.768e-05 P_Replacement: 0.5117658893497629 + +2023-08-10 18:33:32,474 - train: [ INFO] - Test: [ 0/16] Time: 2.420 (2.420) Loss: 2.1817 (2.1817) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 72.5000 (72.5000) + +2023-08-10 18:33:35,751 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.335) Loss: 2.2967 (2.3120) cLoss: 0.0000 (0.0000) Acc@1: 23.7500 (28.4000)Acc@5: 73.7500 (68.5000) + +2023-08-10 18:33:42,178 - train: [ INFO] - Train: 160 [ 0/41 ( 0%)] Loss: 1.162806 (1.1628) Acc@1: 54.1667 (54.1667) Acc@5: 87.5000 (87.5000) Time: 4.609s, 26.04/s LR: 6.500e-05 P_Replacement: 0.5120000000000001 + +2023-08-10 18:34:08,343 - train: [ INFO] - Train: 160 [ 40/41 (100%)] Loss: 1.142298 (1.1795) Acc@1: 53.3333 (51.1585) Acc@5: 88.3333 (86.2805) Time: 0.751s, 159.89/s LR: 6.500e-05 P_Replacement: 0.5214230785972346 + +2023-08-10 18:34:12,078 - train: [ INFO] - Test: [ 0/16] Time: 2.197 (2.197) Loss: 2.2633 (2.2633) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 65.0000 (65.0000) + +2023-08-10 18:34:15,589 - train: [ INFO] - Test: [ 16/16] Time: 0.136 (0.336) Loss: 2.3585 (2.2768) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (29.3000)Acc@5: 63.7500 (69.0500) + +2023-08-10 18:34:17,372 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-160.pth.tar', 29.3000012588501) + +2023-08-10 18:34:22,881 - train: [ INFO] - Train: 161 [ 0/41 ( 0%)] Loss: 1.343744 (1.3437) Acc@1: 45.0000 (45.0000) Acc@5: 86.6667 (86.6667) Time: 5.481s, 21.89/s LR: 6.237e-05 P_Replacement: 0.5216601250000001 + +2023-08-10 18:34:49,185 - train: [ INFO] - Train: 161 [ 40/41 (100%)] Loss: 1.041222 (1.2035) Acc@1: 53.3333 (51.3618) Acc@5: 83.3333 (87.0935) Time: 0.775s, 154.80/s LR: 6.237e-05 P_Replacement: 0.5312009995520235 + +2023-08-10 18:34:52,786 - train: [ INFO] - Test: [ 0/16] Time: 2.219 (2.219) Loss: 2.5261 (2.5261) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 65.0000 (65.0000) + +2023-08-10 18:34:56,277 - train: [ INFO] - Test: [ 16/16] Time: 0.166 (0.336) Loss: 2.1359 (2.3049) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (29.0500)Acc@5: 75.0000 (68.3500) + +2023-08-10 18:35:01,935 - train: [ INFO] - Train: 162 [ 0/41 ( 0%)] Loss: 0.983277 (0.9833) Acc@1: 58.3333 (58.3333) Acc@5: 90.0000 (90.0000) Time: 4.108s, 29.21/s LR: 5.980e-05 P_Replacement: 0.531441 + +2023-08-10 18:35:28,525 - train: [ INFO] - Train: 162 [ 40/41 (100%)] Loss: 1.238017 (1.1884) Acc@1: 54.1667 (50.8740) Acc@5: 93.3333 (86.8293) Time: 0.749s, 160.29/s LR: 5.980e-05 P_Replacement: 0.5411004022141291 + +2023-08-10 18:35:32,867 - train: [ INFO] - Test: [ 0/16] Time: 2.268 (2.268) Loss: 2.1407 (2.1407) cLoss: 0.0000 (0.0000) Acc@1: 35.8333 (35.8333)Acc@5: 75.8333 (75.8333) + +2023-08-10 18:35:36,656 - train: [ INFO] - Test: [ 16/16] Time: 0.270 (0.356) Loss: 2.3587 (2.2983) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (29.4000)Acc@5: 70.0000 (68.5000) + +2023-08-10 18:35:38,371 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-162.pth.tar', 29.400001678466797) + +2023-08-10 18:35:42,733 - train: [ INFO] - Train: 163 [ 0/41 ( 0%)] Loss: 1.160685 (1.1607) Acc@1: 46.6667 (46.6667) Acc@5: 80.8333 (80.8333) Time: 4.333s, 27.69/s LR: 5.728e-05 P_Replacement: 0.5413433749999998 + +2023-08-10 18:36:09,246 - train: [ INFO] - Train: 163 [ 40/41 (100%)] Loss: 1.310030 (1.2126) Acc@1: 57.5000 (50.8740) Acc@5: 85.0000 (86.4837) Time: 0.752s, 159.51/s LR: 5.728e-05 P_Replacement: 0.5511220365835521 + +2023-08-10 18:36:13,367 - train: [ INFO] - Test: [ 0/16] Time: 2.176 (2.176) Loss: 2.3073 (2.3073) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 61.6667 (61.6667) + +2023-08-10 18:36:16,831 - train: [ INFO] - Test: [ 16/16] Time: 0.148 (0.332) Loss: 2.5383 (2.3031) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (28.7500)Acc@5: 63.7500 (69.0500) + +2023-08-10 18:36:23,755 - train: [ INFO] - Train: 164 [ 0/41 ( 0%)] Loss: 1.096376 (1.0964) Acc@1: 50.8333 (50.8333) Acc@5: 85.0000 (85.0000) Time: 4.834s, 24.82/s LR: 5.483e-05 P_Replacement: 0.5513679999999999 + +2023-08-10 18:36:50,280 - train: [ INFO] - Train: 164 [ 40/41 (100%)] Loss: 1.309325 (1.2149) Acc@1: 50.8333 (52.3781) Acc@5: 88.3333 (86.9919) Time: 0.765s, 156.90/s LR: 5.483e-05 P_Replacement: 0.5612666526602921 + +2023-08-10 18:36:54,590 - train: [ INFO] - Test: [ 0/16] Time: 2.755 (2.755) Loss: 2.4120 (2.4120) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 69.1667 (69.1667) + +2023-08-10 18:36:58,475 - train: [ INFO] - Test: [ 16/16] Time: 0.220 (0.391) Loss: 2.2787 (2.3007) cLoss: 0.0000 (0.0000) Acc@1: 35.0000 (29.4000)Acc@5: 72.5000 (69.0000) + +2023-08-10 18:37:04,744 - train: [ INFO] - Train: 165 [ 0/41 ( 0%)] Loss: 1.204227 (1.2042) Acc@1: 56.6667 (56.6667) Acc@5: 89.1667 (89.1667) Time: 4.852s, 24.73/s LR: 5.244e-05 P_Replacement: 0.561515625 + +2023-08-10 18:37:31,159 - train: [ INFO] - Train: 165 [ 40/41 (100%)] Loss: 1.105223 (1.2513) Acc@1: 58.3333 (52.2358) Acc@5: 85.8333 (87.2968) Time: 0.763s, 157.36/s LR: 5.244e-05 P_Replacement: 0.5715350004443492 + +2023-08-10 18:37:35,738 - train: [ INFO] - Test: [ 0/16] Time: 2.806 (2.806) Loss: 2.1597 (2.1597) cLoss: 0.0000 (0.0000) Acc@1: 33.3333 (33.3333)Acc@5: 75.8333 (75.8333) + +2023-08-10 18:37:39,323 - train: [ INFO] - Test: [ 16/16] Time: 0.139 (0.376) Loss: 2.3488 (2.2868) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (29.1500)Acc@5: 60.0000 (69.8500) + +2023-08-10 18:37:45,217 - train: [ INFO] - Train: 166 [ 0/41 ( 0%)] Loss: 1.051145 (1.0511) Acc@1: 55.8333 (55.8333) Acc@5: 92.5000 (92.5000) Time: 4.310s, 27.84/s LR: 5.010e-05 P_Replacement: 0.5717869999999999 + +2023-08-10 18:38:11,682 - train: [ INFO] - Train: 166 [ 40/41 (100%)] Loss: 1.485376 (1.2595) Acc@1: 50.0000 (52.3781) Acc@5: 86.6667 (87.6423) Time: 0.751s, 159.89/s LR: 5.010e-05 P_Replacement: 0.5819278299357235 + +2023-08-10 18:38:16,121 - train: [ INFO] - Test: [ 0/16] Time: 2.475 (2.475) Loss: 2.3038 (2.3038) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 65.8333 (65.8333) + +2023-08-10 18:38:19,918 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.369) Loss: 2.1796 (2.2909) cLoss: 0.0000 (0.0000) Acc@1: 37.5000 (30.0000)Acc@5: 72.5000 (68.5500) + +2023-08-10 18:38:21,447 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-166.pth.tar', 30.00000160217285) + +2023-08-10 18:38:26,475 - train: [ INFO] - Train: 167 [ 0/41 ( 0%)] Loss: 1.485279 (1.4853) Acc@1: 51.6667 (51.6667) Acc@5: 86.6667 (86.6667) Time: 5.008s, 23.96/s LR: 4.783e-05 P_Replacement: 0.5821828749999999 + +2023-08-10 18:38:52,952 - train: [ INFO] - Train: 167 [ 40/41 (100%)] Loss: 1.244503 (1.2603) Acc@1: 54.1667 (53.3537) Acc@5: 89.1667 (87.7846) Time: 0.768s, 156.30/s LR: 4.783e-05 P_Replacement: 0.5924458911344147 + +2023-08-10 18:38:57,338 - train: [ INFO] - Test: [ 0/16] Time: 2.427 (2.427) Loss: 2.2187 (2.2187) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 70.8333 (70.8333) + +2023-08-10 18:39:01,035 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.360) Loss: 2.4921 (2.2960) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (29.6000)Acc@5: 66.2500 (69.5000) + +2023-08-10 18:39:08,594 - train: [ INFO] - Train: 168 [ 0/41 ( 0%)] Loss: 1.105927 (1.1059) Acc@1: 52.5000 (52.5000) Acc@5: 85.8333 (85.8333) Time: 5.538s, 21.67/s LR: 4.562e-05 P_Replacement: 0.5927039999999999 + +2023-08-10 18:39:34,984 - train: [ INFO] - Train: 168 [ 40/41 (100%)] Loss: 1.454257 (1.2904) Acc@1: 53.3333 (53.5366) Acc@5: 86.6667 (87.6016) Time: 0.779s, 154.11/s LR: 4.562e-05 P_Replacement: 0.603089934040423 + +2023-08-10 18:39:39,642 - train: [ INFO] - Test: [ 0/16] Time: 2.577 (2.577) Loss: 2.1688 (2.1688) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 75.8333 (75.8333) + +2023-08-10 18:39:43,291 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.366) Loss: 2.3875 (2.2986) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (30.1000)Acc@5: 67.5000 (69.2000) + +2023-08-10 18:39:45,546 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-168.pth.tar', 30.100001754760743) + +2023-08-10 18:39:51,241 - train: [ INFO] - Train: 169 [ 0/41 ( 0%)] Loss: 0.997122 (0.9971) Acc@1: 57.5000 (57.5000) Acc@5: 89.1667 (89.1667) Time: 5.634s, 21.30/s LR: 4.347e-05 P_Replacement: 0.603351125 + +2023-08-10 18:40:17,322 - train: [ INFO] - Train: 169 [ 40/41 (100%)] Loss: 1.412667 (1.2696) Acc@1: 47.5000 (54.1870) Acc@5: 86.6667 (87.6626) Time: 0.774s, 155.14/s LR: 4.347e-05 P_Replacement: 0.6138607086537484 + +2023-08-10 18:40:22,134 - train: [ INFO] - Test: [ 0/16] Time: 2.578 (2.578) Loss: 2.3483 (2.3483) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 68.3333 (68.3333) + +2023-08-10 18:40:25,852 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.370) Loss: 2.2636 (2.3037) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (29.5500)Acc@5: 68.7500 (68.8000) + +2023-08-10 18:40:33,876 - train: [ INFO] - Train: 170 [ 0/41 ( 0%)] Loss: 1.339484 (1.3395) Acc@1: 52.5000 (52.5000) Acc@5: 85.8333 (85.8333) Time: 5.794s, 20.71/s LR: 4.139e-05 P_Replacement: 0.6141249999999999 + +2023-08-10 18:41:00,605 - train: [ INFO] - Train: 170 [ 40/41 (100%)] Loss: 1.280374 (1.3347) Acc@1: 51.6667 (53.0691) Acc@5: 91.6667 (88.0285) Time: 0.793s, 151.30/s LR: 4.139e-05 P_Replacement: 0.624758964974391 + +2023-08-10 18:41:04,767 - train: [ INFO] - Test: [ 0/16] Time: 2.206 (2.206) Loss: 2.2245 (2.2245) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 64.1667 (64.1667) + +2023-08-10 18:41:08,276 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.336) Loss: 2.3048 (2.3193) cLoss: 0.0000 (0.0000) Acc@1: 36.2500 (28.3500)Acc@5: 63.7500 (68.5000) + +2023-08-10 18:41:15,889 - train: [ INFO] - Train: 171 [ 0/41 ( 0%)] Loss: 1.256192 (1.2562) Acc@1: 45.0000 (45.0000) Acc@5: 83.3333 (83.3333) Time: 5.319s, 22.56/s LR: 3.936e-05 P_Replacement: 0.6250263749999999 + +2023-08-10 18:41:42,943 - train: [ INFO] - Train: 171 [ 40/41 (100%)] Loss: 1.356040 (1.3024) Acc@1: 52.5000 (53.3740) Acc@5: 88.3333 (88.2724) Time: 0.789s, 152.00/s LR: 3.936e-05 P_Replacement: 0.6357854530023505 + +2023-08-10 18:41:46,979 - train: [ INFO] - Test: [ 0/16] Time: 2.202 (2.202) Loss: 2.3824 (2.3824) cLoss: 0.0000 (0.0000) Acc@1: 25.8333 (25.8333)Acc@5: 67.5000 (67.5000) + +2023-08-10 18:41:50,947 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.363) Loss: 2.0683 (2.2972) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (30.5000)Acc@5: 78.7500 (68.6000) + +2023-08-10 18:41:53,096 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-171.pth.tar', 30.50000156402588) + +2023-08-10 18:41:58,677 - train: [ INFO] - Train: 172 [ 0/41 ( 0%)] Loss: 1.150124 (1.1501) Acc@1: 60.8333 (60.8333) Acc@5: 87.5000 (87.5000) Time: 5.544s, 21.65/s LR: 3.741e-05 P_Replacement: 0.636056 + +2023-08-10 18:42:25,548 - train: [ INFO] - Train: 172 [ 40/41 (100%)] Loss: 1.540165 (1.3150) Acc@1: 56.6667 (54.7561) Acc@5: 86.6667 (88.1301) Time: 0.791s, 151.80/s LR: 3.741e-05 P_Replacement: 0.6469409227376272 + +2023-08-10 18:42:30,207 - train: [ INFO] - Test: [ 0/16] Time: 2.805 (2.805) Loss: 2.1132 (2.1132) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 75.8333 (75.8333) + +2023-08-10 18:42:33,909 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.383) Loss: 2.2884 (2.3065) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (29.7500)Acc@5: 67.5000 (68.7000) + +2023-08-10 18:42:41,351 - train: [ INFO] - Train: 173 [ 0/41 ( 0%)] Loss: 1.308834 (1.3088) Acc@1: 48.3333 (48.3333) Acc@5: 85.8333 (85.8333) Time: 5.750s, 20.87/s LR: 3.551e-05 P_Replacement: 0.6472146249999999 + +2023-08-10 18:43:07,788 - train: [ INFO] - Train: 173 [ 40/41 (100%)] Loss: 1.469398 (1.3408) Acc@1: 55.8333 (54.3089) Acc@5: 91.6667 (88.3740) Time: 0.785s, 152.88/s LR: 3.551e-05 P_Replacement: 0.6582261241802209 + +2023-08-10 18:43:12,619 - train: [ INFO] - Test: [ 0/16] Time: 2.541 (2.541) Loss: 2.3491 (2.3491) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 66.6667 (66.6667) + +2023-08-10 18:43:16,269 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.364) Loss: 2.4047 (2.3040) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (29.3000)Acc@5: 67.5000 (69.0000) + +2023-08-10 18:43:24,181 - train: [ INFO] - Train: 174 [ 0/41 ( 0%)] Loss: 1.429032 (1.4290) Acc@1: 56.6667 (56.6667) Acc@5: 88.3333 (88.3333) Time: 5.892s, 20.37/s LR: 3.368e-05 P_Replacement: 0.658503 + +2023-08-10 18:43:51,022 - train: [ INFO] - Train: 174 [ 40/41 (100%)] Loss: 1.484810 (1.3424) Acc@1: 41.6667 (54.5935) Acc@5: 84.1667 (88.0691) Time: 0.798s, 150.32/s LR: 3.368e-05 P_Replacement: 0.6696418073301316 + +2023-08-10 18:43:55,376 - train: [ INFO] - Test: [ 0/16] Time: 2.261 (2.261) Loss: 2.3598 (2.3598) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 69.1667 (69.1667) + +2023-08-10 18:43:58,893 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.340) Loss: 2.0068 (2.2970) cLoss: 0.0000 (0.0000) Acc@1: 42.5000 (29.7500)Acc@5: 83.7500 (68.9500) + +2023-08-10 18:44:06,015 - train: [ INFO] - Train: 175 [ 0/41 ( 0%)] Loss: 1.406141 (1.4061) Acc@1: 53.3333 (53.3333) Acc@5: 85.8333 (85.8333) Time: 4.850s, 24.74/s LR: 3.192e-05 P_Replacement: 0.669921875 + +2023-08-10 18:44:32,577 - train: [ INFO] - Train: 175 [ 40/41 (100%)] Loss: 1.238175 (1.3776) Acc@1: 51.6667 (53.9228) Acc@5: 88.3333 (88.3333) Time: 0.766s, 156.71/s LR: 3.192e-05 P_Replacement: 0.6811887221873595 + +2023-08-10 18:44:37,621 - train: [ INFO] - Test: [ 0/16] Time: 3.193 (3.193) Loss: 2.5660 (2.5660) cLoss: 0.0000 (0.0000) Acc@1: 24.1667 (24.1667)Acc@5: 62.5000 (62.5000) + +2023-08-10 18:44:41,395 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.410) Loss: 2.3918 (2.3013) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (30.0500)Acc@5: 67.5000 (68.7500) + +2023-08-10 18:44:47,506 - train: [ INFO] - Train: 176 [ 0/41 ( 0%)] Loss: 1.436107 (1.4361) Acc@1: 58.3333 (58.3333) Acc@5: 86.6667 (86.6667) Time: 3.910s, 30.69/s LR: 3.022e-05 P_Replacement: 0.681472 + +2023-08-10 18:45:14,069 - train: [ INFO] - Train: 176 [ 40/41 (100%)] Loss: 1.534751 (1.3618) Acc@1: 49.1667 (54.4715) Acc@5: 89.1667 (88.5976) Time: 0.743s, 161.47/s LR: 3.022e-05 P_Replacement: 0.6928676187519044 + +2023-08-10 18:45:18,051 - train: [ INFO] - Test: [ 0/16] Time: 2.208 (2.208) Loss: 2.3500 (2.3500) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 64.1667 (64.1667) + +2023-08-10 18:45:21,796 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.350) Loss: 2.1913 (2.2965) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (29.4500)Acc@5: 70.0000 (68.1500) + +2023-08-10 18:45:29,121 - train: [ INFO] - Train: 177 [ 0/41 ( 0%)] Loss: 1.259468 (1.2595) Acc@1: 57.5000 (57.5000) Acc@5: 88.3333 (88.3333) Time: 5.345s, 22.45/s LR: 2.859e-05 P_Replacement: 0.6931541250000001 + +2023-08-10 18:45:56,151 - train: [ INFO] - Train: 177 [ 40/41 (100%)] Loss: 1.409099 (1.3817) Acc@1: 55.0000 (54.8984) Acc@5: 83.3333 (89.0041) Time: 0.789s, 152.03/s LR: 2.859e-05 P_Replacement: 0.7046792470237664 + +2023-08-10 18:46:01,482 - train: [ INFO] - Test: [ 0/16] Time: 3.389 (3.389) Loss: 2.3901 (2.3901) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 68.3333 (68.3333) + +2023-08-10 18:46:05,123 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.414) Loss: 2.3817 (2.3211) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (29.6000)Acc@5: 65.0000 (68.5500) + +2023-08-10 18:46:13,256 - train: [ INFO] - Train: 178 [ 0/41 ( 0%)] Loss: 1.421277 (1.4213) Acc@1: 54.1667 (54.1667) Acc@5: 85.8333 (85.8333) Time: 6.234s, 19.25/s LR: 2.702e-05 P_Replacement: 0.7049690000000001 + +2023-08-10 18:46:39,705 - train: [ INFO] - Train: 178 [ 40/41 (100%)] Loss: 1.401338 (1.4001) Acc@1: 63.3333 (54.6341) Acc@5: 92.5000 (88.5569) Time: 0.797s, 150.55/s LR: 2.702e-05 P_Replacement: 0.7166243570029455 + +2023-08-10 18:46:45,273 - train: [ INFO] - Test: [ 0/16] Time: 3.262 (3.262) Loss: 2.2216 (2.2216) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 70.0000 (70.0000) + +2023-08-10 18:46:48,759 - train: [ INFO] - Test: [ 16/16] Time: 0.132 (0.397) Loss: 2.4190 (2.3231) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (28.8500)Acc@5: 67.5000 (67.9500) + +2023-08-10 18:46:56,914 - train: [ INFO] - Train: 179 [ 0/41 ( 0%)] Loss: 1.274405 (1.2744) Acc@1: 57.5000 (57.5000) Acc@5: 85.8333 (85.8333) Time: 5.635s, 21.30/s LR: 2.553e-05 P_Replacement: 0.7169173750000001 + +2023-08-10 18:47:23,620 - train: [ INFO] - Train: 179 [ 40/41 (100%)] Loss: 1.582589 (1.3852) Acc@1: 58.3333 (54.9797) Acc@5: 89.1667 (88.8415) Time: 0.789s, 152.15/s LR: 2.553e-05 P_Replacement: 0.7287036986894416 + +2023-08-10 18:47:28,698 - train: [ INFO] - Test: [ 0/16] Time: 3.186 (3.186) Loss: 2.3056 (2.3056) cLoss: 0.0000 (0.0000) Acc@1: 31.6667 (31.6667)Acc@5: 66.6667 (66.6667) + +2023-08-10 18:47:32,459 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.409) Loss: 2.4893 (2.3100) cLoss: 0.0000 (0.0000) Acc@1: 21.2500 (30.0000)Acc@5: 65.0000 (67.8500) + +2023-08-10 18:47:40,427 - train: [ INFO] - Train: 180 [ 0/41 ( 0%)] Loss: 1.313167 (1.3132) Acc@1: 55.0000 (55.0000) Acc@5: 88.3333 (88.3333) Time: 5.696s, 21.07/s LR: 2.409e-05 P_Replacement: 0.7290000000000001 + +2023-08-10 18:48:07,492 - train: [ INFO] - Train: 180 [ 40/41 (100%)] Loss: 1.514499 (1.4347) Acc@1: 46.6667 (53.7398) Acc@5: 86.6667 (88.7602) Time: 0.799s, 150.19/s LR: 2.409e-05 P_Replacement: 0.7409180220832549 + +2023-08-10 18:48:12,595 - train: [ INFO] - Test: [ 0/16] Time: 3.148 (3.148) Loss: 2.2844 (2.2844) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 67.5000 (67.5000) + +2023-08-10 18:48:16,053 - train: [ INFO] - Test: [ 16/16] Time: 0.150 (0.389) Loss: 2.2679 (2.3098) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (29.0500)Acc@5: 70.0000 (68.2500) + +2023-08-10 18:48:23,587 - train: [ INFO] - Train: 181 [ 0/41 ( 0%)] Loss: 1.431492 (1.4315) Acc@1: 46.6667 (46.6667) Acc@5: 89.1667 (89.1667) Time: 5.620s, 21.35/s LR: 2.273e-05 P_Replacement: 0.7412176250000001 + +2023-08-10 18:48:50,353 - train: [ INFO] - Train: 181 [ 40/41 (100%)] Loss: 1.526842 (1.4466) Acc@1: 52.5000 (55.9350) Acc@5: 86.6667 (88.8618) Time: 0.790s, 151.94/s LR: 2.273e-05 P_Replacement: 0.753268077184385 + +2023-08-10 18:48:55,746 - train: [ INFO] - Test: [ 0/16] Time: 3.038 (3.038) Loss: 2.1275 (2.1275) cLoss: 0.0000 (0.0000) Acc@1: 38.3333 (38.3333)Acc@5: 70.0000 (70.0000) + +2023-08-10 18:48:59,266 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.386) Loss: 2.1538 (2.2994) cLoss: 0.0000 (0.0000) Acc@1: 37.5000 (29.4500)Acc@5: 68.7500 (69.3500) + +2023-08-10 18:49:06,834 - train: [ INFO] - Train: 182 [ 0/41 ( 0%)] Loss: 1.455721 (1.4557) Acc@1: 51.6667 (51.6667) Acc@5: 88.3333 (88.3333) Time: 5.113s, 23.47/s LR: 2.143e-05 P_Replacement: 0.7535710000000001 + +2023-08-10 18:49:33,105 - train: [ INFO] - Train: 182 [ 40/41 (100%)] Loss: 1.479721 (1.4530) Acc@1: 50.8333 (55.1220) Acc@5: 83.3333 (89.2276) Time: 0.765s, 156.78/s LR: 2.143e-05 P_Replacement: 0.7657546139928325 + +2023-08-10 18:49:38,058 - train: [ INFO] - Test: [ 0/16] Time: 2.844 (2.844) Loss: 2.3640 (2.3640) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 68.3333 (68.3333) + +2023-08-10 18:49:41,796 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.387) Loss: 2.4738 (2.3035) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (29.9500)Acc@5: 60.0000 (68.9500) + +2023-08-10 18:49:49,486 - train: [ INFO] - Train: 183 [ 0/41 ( 0%)] Loss: 1.348375 (1.3484) Acc@1: 65.8333 (65.8333) Acc@5: 90.0000 (90.0000) Time: 5.602s, 21.42/s LR: 2.021e-05 P_Replacement: 0.7660608750000001 + +2023-08-10 18:50:16,204 - train: [ INFO] - Train: 183 [ 40/41 (100%)] Loss: 1.591491 (1.4615) Acc@1: 49.1667 (55.0813) Acc@5: 86.6667 (89.0447) Time: 0.788s, 152.24/s LR: 2.021e-05 P_Replacement: 0.7783783825085969 + +2023-08-10 18:50:21,165 - train: [ INFO] - Test: [ 0/16] Time: 3.022 (3.022) Loss: 2.2599 (2.2599) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 66.6667 (66.6667) + +2023-08-10 18:50:25,136 - train: [ INFO] - Test: [ 16/16] Time: 0.230 (0.411) Loss: 2.2462 (2.3125) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (29.7500)Acc@5: 65.0000 (68.1000) + +2023-08-10 18:50:33,196 - train: [ INFO] - Train: 184 [ 0/41 ( 0%)] Loss: 1.578594 (1.5786) Acc@1: 55.8333 (55.8333) Acc@5: 91.6667 (91.6667) Time: 5.960s, 20.13/s LR: 1.905e-05 P_Replacement: 0.778688 + +2023-08-10 18:50:59,755 - train: [ INFO] - Train: 184 [ 40/41 (100%)] Loss: 1.463847 (1.4805) Acc@1: 52.5000 (55.2846) Acc@5: 82.5000 (88.8821) Time: 0.793s, 151.32/s LR: 1.905e-05 P_Replacement: 0.7911401327316784 + +2023-08-10 18:51:05,011 - train: [ INFO] - Test: [ 0/16] Time: 2.942 (2.942) Loss: 2.0890 (2.0890) cLoss: 0.0000 (0.0000) Acc@1: 37.5000 (37.5000)Acc@5: 74.1667 (74.1667) + +2023-08-10 18:51:08,635 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.386) Loss: 2.4626 (2.3279) cLoss: 0.0000 (0.0000) Acc@1: 17.5000 (29.0000)Acc@5: 62.5000 (68.2500) + +2023-08-10 18:51:16,785 - train: [ INFO] - Train: 185 [ 0/41 ( 0%)] Loss: 1.412379 (1.4124) Acc@1: 58.3333 (58.3333) Acc@5: 90.0000 (90.0000) Time: 6.147s, 19.52/s LR: 1.796e-05 P_Replacement: 0.7914531250000001 + +2023-08-10 18:51:43,427 - train: [ INFO] - Train: 185 [ 40/41 (100%)] Loss: 1.416147 (1.4901) Acc@1: 53.3333 (55.7724) Acc@5: 90.0000 (88.7602) Time: 0.800s, 150.06/s LR: 1.796e-05 P_Replacement: 0.804040614662077 + +2023-08-10 18:51:48,555 - train: [ INFO] - Test: [ 0/16] Time: 3.190 (3.190) Loss: 2.3096 (2.3096) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (23.3333)Acc@5: 68.3333 (68.3333) + +2023-08-10 18:51:51,896 - train: [ INFO] - Test: [ 16/16] Time: 0.158 (0.384) Loss: 2.3133 (2.3239) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (28.5000)Acc@5: 66.2500 (67.8000) + +2023-08-10 18:51:59,496 - train: [ INFO] - Train: 186 [ 0/41 ( 0%)] Loss: 1.357859 (1.3579) Acc@1: 60.0000 (60.0000) Acc@5: 93.3333 (93.3333) Time: 5.262s, 22.81/s LR: 1.694e-05 P_Replacement: 0.8043570000000001 + +2023-08-10 18:52:26,283 - train: [ INFO] - Train: 186 [ 40/41 (100%)] Loss: 1.441408 (1.4900) Acc@1: 60.8333 (56.3211) Acc@5: 94.1667 (89.4716) Time: 0.782s, 153.53/s LR: 1.694e-05 P_Replacement: 0.8170805782997926 + +2023-08-10 18:52:30,784 - train: [ INFO] - Test: [ 0/16] Time: 2.762 (2.762) Loss: 2.3093 (2.3093) cLoss: 0.0000 (0.0000) Acc@1: 35.8333 (35.8333)Acc@5: 72.5000 (72.5000) + +2023-08-10 18:52:34,593 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.387) Loss: 2.2847 (2.3320) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (29.8500)Acc@5: 70.0000 (68.5000) + +2023-08-10 18:52:41,417 - train: [ INFO] - Train: 187 [ 0/41 ( 0%)] Loss: 1.423019 (1.4230) Acc@1: 56.6667 (56.6667) Acc@5: 91.6667 (91.6667) Time: 4.435s, 27.06/s LR: 1.598e-05 P_Replacement: 0.8174003750000002 + +2023-08-10 18:53:08,458 - train: [ INFO] - Train: 187 [ 40/41 (100%)] Loss: 1.598400 (1.5252) Acc@1: 59.1667 (55.0610) Acc@5: 85.0000 (89.4512) Time: 0.768s, 156.33/s LR: 1.598e-05 P_Replacement: 0.8302607736448251 + +2023-08-10 18:53:12,845 - train: [ INFO] - Test: [ 0/16] Time: 2.635 (2.635) Loss: 2.3934 (2.3934) cLoss: 0.0000 (0.0000) Acc@1: 29.1667 (29.1667)Acc@5: 65.8333 (65.8333) + +2023-08-10 18:53:16,532 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.372) Loss: 2.3189 (2.3180) cLoss: 0.0000 (0.0000) Acc@1: 26.2500 (29.0000)Acc@5: 71.2500 (68.9500) + +2023-08-10 18:53:23,215 - train: [ INFO] - Train: 188 [ 0/41 ( 0%)] Loss: 1.556262 (1.5563) Acc@1: 46.6667 (46.6667) Acc@5: 80.8333 (80.8333) Time: 4.495s, 26.70/s LR: 1.510e-05 P_Replacement: 0.8305839999999999 + +2023-08-10 18:53:50,017 - train: [ INFO] - Train: 188 [ 40/41 (100%)] Loss: 1.570246 (1.5302) Acc@1: 60.0000 (56.3415) Acc@5: 90.8333 (89.2276) Time: 0.763s, 157.22/s LR: 1.510e-05 P_Replacement: 0.8435819506971749 + +2023-08-10 18:53:54,551 - train: [ INFO] - Test: [ 0/16] Time: 2.795 (2.795) Loss: 2.5019 (2.5019) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 60.8333 (60.8333) + +2023-08-10 18:53:58,624 - train: [ INFO] - Test: [ 16/16] Time: 0.274 (0.404) Loss: 2.5157 (2.3178) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (29.4500)Acc@5: 63.7500 (68.0500) + +2023-08-10 18:54:05,360 - train: [ INFO] - Train: 189 [ 0/41 ( 0%)] Loss: 1.655581 (1.6556) Acc@1: 55.0000 (55.0000) Acc@5: 84.1667 (84.1667) Time: 5.146s, 23.32/s LR: 1.429e-05 P_Replacement: 0.8439086249999999 + +2023-08-10 18:54:32,483 - train: [ INFO] - Train: 189 [ 40/41 (100%)] Loss: 1.486279 (1.5510) Acc@1: 59.1667 (55.7317) Acc@5: 89.1667 (89.3293) Time: 0.787s, 152.52/s LR: 1.429e-05 P_Replacement: 0.8570448594568417 + +2023-08-10 18:54:36,797 - train: [ INFO] - Test: [ 0/16] Time: 2.273 (2.273) Loss: 2.1378 (2.1378) cLoss: 0.0000 (0.0000) Acc@1: 33.3333 (33.3333)Acc@5: 70.8333 (70.8333) + +2023-08-10 18:54:40,514 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.352) Loss: 2.3413 (2.3178) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (29.3000)Acc@5: 67.5000 (68.4000) + +2023-08-10 18:54:46,997 - train: [ INFO] - Train: 190 [ 0/41 ( 0%)] Loss: 1.464591 (1.4646) Acc@1: 55.8333 (55.8333) Acc@5: 90.8333 (90.8333) Time: 4.898s, 24.50/s LR: 1.355e-05 P_Replacement: 0.8573749999999999 + +2023-08-10 18:55:13,880 - train: [ INFO] - Train: 190 [ 40/41 (100%)] Loss: 1.648439 (1.5515) Acc@1: 55.8333 (55.3659) Acc@5: 88.3333 (89.7764) Time: 0.775s, 154.82/s LR: 1.355e-05 P_Replacement: 0.8706502499238257 + +2023-08-10 18:55:17,712 - train: [ INFO] - Test: [ 0/16] Time: 2.450 (2.450) Loss: 2.3338 (2.3338) cLoss: 0.0000 (0.0000) Acc@1: 28.3333 (28.3333)Acc@5: 65.0000 (65.0000) + +2023-08-10 18:55:21,214 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.350) Loss: 2.3570 (2.3540) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (28.5000)Acc@5: 70.0000 (67.3500) + +2023-08-10 18:55:27,766 - train: [ INFO] - Train: 191 [ 0/41 ( 0%)] Loss: 1.497462 (1.4975) Acc@1: 60.0000 (60.0000) Acc@5: 93.3333 (93.3333) Time: 4.677s, 25.66/s LR: 1.287e-05 P_Replacement: 0.8709838749999999 + +2023-08-10 18:55:54,550 - train: [ INFO] - Train: 191 [ 40/41 (100%)] Loss: 1.518207 (1.5678) Acc@1: 57.5000 (57.0528) Acc@5: 88.3333 (89.0244) Time: 0.767s, 156.39/s LR: 1.287e-05 P_Replacement: 0.8843988720981267 + +2023-08-10 18:55:58,604 - train: [ INFO] - Test: [ 0/16] Time: 2.602 (2.602) Loss: 2.2343 (2.2343) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.0000)Acc@5: 72.5000 (72.5000) + +2023-08-10 18:56:02,033 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.355) Loss: 2.0789 (2.3045) cLoss: 0.0000 (0.0000) Acc@1: 31.2500 (29.2000)Acc@5: 78.7500 (69.0500) + +2023-08-10 18:56:09,019 - train: [ INFO] - Train: 192 [ 0/41 ( 0%)] Loss: 1.558851 (1.5589) Acc@1: 57.5000 (57.5000) Acc@5: 90.8333 (90.8333) Time: 4.792s, 25.04/s LR: 1.227e-05 P_Replacement: 0.8847359999999999 + +2023-08-10 18:56:36,141 - train: [ INFO] - Train: 192 [ 40/41 (100%)] Loss: 1.634331 (1.5820) Acc@1: 50.8333 (56.6463) Acc@5: 89.1667 (89.2073) Time: 0.778s, 154.18/s LR: 1.227e-05 P_Replacement: 0.8982914759797448 + +2023-08-10 18:56:40,524 - train: [ INFO] - Test: [ 0/16] Time: 2.592 (2.592) Loss: 2.2693 (2.2693) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 70.0000 (70.0000) + +2023-08-10 18:56:44,379 - train: [ INFO] - Test: [ 16/16] Time: 0.134 (0.379) Loss: 2.1425 (2.3298) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (29.6500)Acc@5: 71.2500 (68.6500) + +2023-08-10 18:56:50,462 - train: [ INFO] - Train: 193 [ 0/41 ( 0%)] Loss: 1.498968 (1.4990) Acc@1: 60.0000 (60.0000) Acc@5: 90.0000 (90.0000) Time: 4.687s, 25.60/s LR: 1.174e-05 P_Replacement: 0.8986321249999999 + +2023-08-10 18:57:17,795 - train: [ INFO] - Train: 193 [ 40/41 (100%)] Loss: 1.532743 (1.6155) Acc@1: 60.8333 (55.7114) Acc@5: 92.5000 (89.4715) Time: 0.781s, 153.68/s LR: 1.174e-05 P_Replacement: 0.91232881156868 + +2023-08-10 18:57:21,632 - train: [ INFO] - Test: [ 0/16] Time: 2.385 (2.385) Loss: 2.3095 (2.3095) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (32.5000)Acc@5: 67.5000 (67.5000) + +2023-08-10 18:57:25,404 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.362) Loss: 2.3328 (2.3309) cLoss: 0.0000 (0.0000) Acc@1: 28.7500 (29.8500)Acc@5: 66.2500 (68.5500) + +2023-08-10 18:57:32,031 - train: [ INFO] - Train: 194 [ 0/41 ( 0%)] Loss: 1.680710 (1.6807) Acc@1: 50.8333 (50.8333) Acc@5: 86.6667 (86.6667) Time: 5.110s, 23.48/s LR: 1.128e-05 P_Replacement: 0.912673 + +2023-08-10 18:57:58,673 - train: [ INFO] - Train: 194 [ 40/41 (100%)] Loss: 1.715683 (1.6159) Acc@1: 58.3333 (56.1789) Acc@5: 93.3333 (89.4512) Time: 0.774s, 154.97/s LR: 1.128e-05 P_Replacement: 0.9265116288649322 + +2023-08-10 18:58:02,972 - train: [ INFO] - Test: [ 0/16] Time: 2.907 (2.907) Loss: 2.2585 (2.2585) cLoss: 0.0000 (0.0000) Acc@1: 35.0000 (35.0000)Acc@5: 69.1667 (69.1667) + +2023-08-10 18:58:06,680 - train: [ INFO] - Test: [ 16/16] Time: 0.141 (0.389) Loss: 2.3654 (2.3328) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (29.1000)Acc@5: 70.0000 (68.1000) + +2023-08-10 18:58:13,123 - train: [ INFO] - Train: 195 [ 0/41 ( 0%)] Loss: 1.447311 (1.4473) Acc@1: 63.3333 (63.3333) Acc@5: 94.1667 (94.1667) Time: 4.321s, 27.77/s LR: 1.089e-05 P_Replacement: 0.9268593749999999 + +2023-08-10 18:58:40,066 - train: [ INFO] - Train: 195 [ 40/41 (100%)] Loss: 1.719693 (1.6363) Acc@1: 57.5000 (56.3821) Acc@5: 89.1667 (88.8415) Time: 0.762s, 157.38/s LR: 1.089e-05 P_Replacement: 0.9408406778685016 + +2023-08-10 18:58:43,722 - train: [ INFO] - Test: [ 0/16] Time: 2.169 (2.169) Loss: 2.4080 (2.4080) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 71.6667 (71.6667) + +2023-08-10 18:58:47,612 - train: [ INFO] - Test: [ 16/16] Time: 0.251 (0.356) Loss: 2.3292 (2.3276) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (29.0500)Acc@5: 72.5000 (68.5000) + +2023-08-10 18:58:53,477 - train: [ INFO] - Train: 196 [ 0/41 ( 0%)] Loss: 1.553670 (1.5537) Acc@1: 60.0000 (60.0000) Acc@5: 90.8333 (90.8333) Time: 4.456s, 26.93/s LR: 1.057e-05 P_Replacement: 0.9411919999999999 + +2023-08-10 18:59:20,192 - train: [ INFO] - Train: 196 [ 40/41 (100%)] Loss: 1.582686 (1.6455) Acc@1: 60.8333 (56.4024) Acc@5: 90.8333 (89.0854) Time: 0.760s, 157.85/s LR: 1.057e-05 P_Replacement: 0.955316708579388 + +2023-08-10 18:59:24,073 - train: [ INFO] - Test: [ 0/16] Time: 2.381 (2.381) Loss: 2.2834 (2.2834) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 70.8333 (70.8333) + +2023-08-10 18:59:27,897 - train: [ INFO] - Test: [ 16/16] Time: 0.161 (0.365) Loss: 2.4066 (2.3162) cLoss: 0.0000 (0.0000) Acc@1: 18.7500 (29.1500)Acc@5: 65.0000 (68.7500) + +2023-08-10 18:59:35,389 - train: [ INFO] - Train: 197 [ 0/41 ( 0%)] Loss: 1.492596 (1.4926) Acc@1: 65.0000 (65.0000) Acc@5: 93.3333 (93.3333) Time: 5.989s, 20.04/s LR: 1.032e-05 P_Replacement: 0.9556716249999999 + +2023-08-10 19:00:01,967 - train: [ INFO] - Train: 197 [ 40/41 (100%)] Loss: 1.739793 (1.6405) Acc@1: 53.3333 (56.4837) Acc@5: 85.0000 (89.5325) Time: 0.794s, 151.09/s LR: 1.032e-05 P_Replacement: 0.9699404709975914 + +2023-08-10 19:00:06,375 - train: [ INFO] - Test: [ 0/16] Time: 2.602 (2.602) Loss: 2.2727 (2.2727) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (32.5000)Acc@5: 68.3333 (68.3333) + +2023-08-10 19:00:10,056 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.370) Loss: 2.3230 (2.3475) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (29.2500)Acc@5: 66.2500 (68.4500) + +2023-08-10 19:00:17,565 - train: [ INFO] - Train: 198 [ 0/41 ( 0%)] Loss: 1.517127 (1.5171) Acc@1: 55.0000 (55.0000) Acc@5: 93.3333 (93.3333) Time: 5.573s, 21.53/s LR: 1.014e-05 P_Replacement: 0.970299 + +2023-08-10 19:00:43,825 - train: [ INFO] - Train: 198 [ 40/41 (100%)] Loss: 1.791166 (1.6365) Acc@1: 52.5000 (56.6870) Acc@5: 85.0000 (89.9797) Time: 0.776s, 154.57/s LR: 1.014e-05 P_Replacement: 0.984712715123112 + +2023-08-10 19:00:48,808 - train: [ INFO] - Test: [ 0/16] Time: 3.016 (3.016) Loss: 2.4251 (2.4251) cLoss: 0.0000 (0.0000) Acc@1: 25.0000 (25.0000)Acc@5: 66.6667 (66.6667) + +2023-08-10 19:00:52,333 - train: [ INFO] - Test: [ 16/16] Time: 0.135 (0.385) Loss: 2.1718 (2.3574) cLoss: 0.0000 (0.0000) Acc@1: 35.0000 (28.7000)Acc@5: 73.7500 (68.5000) + +2023-08-10 19:00:59,791 - train: [ INFO] - Train: 199 [ 0/41 ( 0%)] Loss: 1.586204 (1.5862) Acc@1: 60.8333 (60.8333) Acc@5: 91.6667 (91.6667) Time: 5.445s, 22.04/s LR: 1.004e-05 P_Replacement: 0.985074875 + +2023-08-10 19:01:26,247 - train: [ INFO] - Train: 199 [ 40/41 (100%)] Loss: 1.525820 (1.6272) Acc@1: 60.0000 (55.7114) Acc@5: 92.5000 (89.5325) Time: 0.778s, 154.25/s LR: 1.004e-05 P_Replacement: 0.9996341909559495 + +2023-08-10 19:01:30,943 - train: [ INFO] - Test: [ 0/16] Time: 2.913 (2.913) Loss: 2.1478 (2.1478) cLoss: 0.0000 (0.0000) Acc@1: 35.8333 (35.8333)Acc@5: 70.0000 (70.0000) + +2023-08-10 19:01:34,490 - train: [ INFO] - Test: [ 16/16] Time: 0.133 (0.380) Loss: 2.3105 (2.3277) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (29.4000)Acc@5: 73.7500 (68.9000) + +2023-08-10 19:01:36,044 - train: [ INFO] - *** Best metric: 30.50000156402588 (epoch 171) diff --git a/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/model_best.pth.tar b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/model_best.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..1faf145f4c6a5f91a39d6f27f589bf70fdf44cdd --- /dev/null +++ b/Transfer_ResNet18-CEPDVS-6-bs_120-seed_90210-DA_True-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/model_best.pth.tar @@ -0,0 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a/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/args.yaml b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/args.yaml new file mode 100644 index 0000000000000000000000000000000000000000..28a1ec3fbb6fe2c44b44dbabfdcf05c0c3a3a266 --- /dev/null +++ b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/args.yaml @@ -0,0 +1,148 @@ +DVS_DA: false +TET_loss: true +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptive_node: false +amp: false +apex_amp: false +aug_splits: 0 +batch_size: 120 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null 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+step: 10 +suffix: '' +sync_bn: false +target_dataset: NCALTECH101 +tau: 2.0 +temporal_flatten: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.9 +traindata_ratio: 1.0 +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: 0.01 +workers: 8 diff --git a/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..973b4bfd3cb37fe6dcac7cf8745521b35f0dd339 --- /dev/null +++ b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt @@ -0,0 +1,3162 @@ +2023-08-09 13:45:06,075 - train: [ INFO] - Training with a single process on 1 GPUs. +2023-08-09 13:45:06,222 - train: [ INFO] - learning rate is 0.000586 +2023-08-09 13:45:06,222 - train: [ INFO] - Model Transfer_VGG_SNN created, param count: 10153700 +2023-08-09 13:45:08,689 - train: [ INFO] - AMP not enabled. Training in float32. +2023-08-09 13:45:08,689 - train: [ INFO] - Scheduled epochs: 310 +2023-08-09 13:45:23,295 - train: [ INFO] - Train: 0 [ 0/65 ( 0%)] Loss: 9.228809 (9.2288) Acc@1: 0.8333 ( 0.8333) Acc@5: 1.6667 ( 1.6667) Time: 5.238s, 22.91/s LR: 1.000e-06 P_Replacement: 0.0 + +2023-08-09 13:45:58,510 - train: [ INFO] - Train: 0 [ 50/65 ( 78%)] Loss: 9.206018 (9.2263) Acc@1: 0.8333 ( 0.6863) Acc@5: 2.5000 ( 4.8366) Time: 0.793s, 151.30/s LR: 1.000e-06 P_Replacement: 1.6858005023685496e-08 + +2023-08-09 13:46:08,330 - train: [ INFO] - Train: 0 [ 64/65 (100%)] Loss: 9.201174 (9.2222) Acc@1: 0.8333 ( 0.6667) Acc@5: 7.5000 ( 5.0641) Time: 0.773s, 155.17/s LR: 1.000e-06 P_Replacement: 3.535379895143208e-08 + +2023-08-09 13:46:09,352 - train: [ INFO] - Test: [ 0/7] Time: 0.938 (0.938) Loss: 4.6241 (4.6241) cLoss: 0.0000 (0.0000) Acc@1: 0.8333 ( 0.8333)Acc@5: 3.3333 ( 3.3333) + +2023-08-09 13:46:11,043 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.329) Loss: 4.6135 (4.6160) cLoss: 0.0000 (0.0000) Acc@1: 0.0000 ( 0.8046)Acc@5: 0.0000 ( 3.4483) + +2023-08-09 13:46:11,295 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-0.pth.tar', 0.8045977395156334) + +2023-08-09 13:46:12,895 - train: [ INFO] - Train: 1 [ 0/65 ( 0%)] Loss: 9.208045 (9.2080) Acc@1: 0.8333 ( 0.8333) Acc@5: 7.5000 ( 7.5000) Time: 1.600s, 75.02/s LR: 1.180e-04 P_Replacement: 3.703703703703704e-08 + +2023-08-09 13:46:48,081 - train: [ INFO] - Train: 1 [ 50/65 ( 78%)] Loss: 7.732498 (8.5298) Acc@1: 23.3333 ( 9.7386) Acc@5: 44.1667 (25.2941) Time: 0.721s, 166.38/s LR: 1.180e-04 P_Replacement: 2.0511134712318146e-07 + +2023-08-09 13:46:57,966 - train: [ INFO] - Train: 1 [ 64/65 (100%)] Loss: 7.509642 (8.3452) Acc@1: 21.6667 (11.5385) Acc@5: 40.8333 (28.3205) Time: 0.718s, 167.14/s LR: 1.180e-04 P_Replacement: 2.895111515703231e-07 + +2023-08-09 13:46:59,040 - train: [ INFO] - Test: [ 0/7] Time: 0.880 (0.880) Loss: 4.0471 (4.0471) cLoss: 0.0000 (0.0000) Acc@1: 11.6667 (11.6667)Acc@5: 34.1667 (34.1667) + +2023-08-09 13:47:00,615 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.307) Loss: 4.2113 (4.1462) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 33.3333 (29.8851) + +2023-08-09 13:47:00,875 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-1.pth.tar', 10.000000624821103) + +2023-08-09 13:47:02,415 - train: [ INFO] - Train: 2 [ 0/65 ( 0%)] Loss: 7.387138 (7.3871) Acc@1: 20.8333 (20.8333) Acc@5: 43.3333 (43.3333) Time: 1.522s, 78.84/s LR: 2.350e-04 P_Replacement: 2.9629629629629634e-07 + +2023-08-09 13:47:37,697 - train: [ INFO] - Train: 2 [ 50/65 ( 78%)] Loss: 5.913759 (6.7006) Acc@1: 27.5000 (26.0458) Acc@5: 58.3333 (50.7026) Time: 0.722s, 166.30/s LR: 2.350e-04 P_Replacement: 7.865270823850708e-07 + +2023-08-09 13:47:47,582 - train: [ INFO] - Train: 2 [ 64/65 (100%)] Loss: 5.640228 (6.5094) Acc@1: 45.0000 (28.3718) Acc@5: 65.0000 (53.2180) Time: 0.718s, 167.07/s LR: 2.350e-04 P_Replacement: 9.846941452148553e-07 + +2023-08-09 13:47:48,673 - train: [ INFO] - Test: [ 0/7] Time: 0.956 (0.956) Loss: 3.6220 (3.6220) cLoss: 0.0000 (0.0000) Acc@1: 20.8333 (20.8333)Acc@5: 40.0000 (40.0000) + +2023-08-09 13:47:50,259 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.318) Loss: 3.2278 (3.6120) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (17.7012)Acc@5: 56.6667 (38.5057) + +2023-08-09 13:47:50,516 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-2.pth.tar', 17.701150302229255) + +2023-08-09 13:47:52,029 - train: [ INFO] - Train: 3 [ 0/65 ( 0%)] Loss: 5.511397 (5.5114) Acc@1: 35.8333 (35.8333) Acc@5: 64.1667 (64.1667) Time: 1.499s, 80.07/s LR: 3.520e-04 P_Replacement: 1.0000000000000002e-06 + +2023-08-09 13:48:27,299 - train: [ INFO] - Train: 3 [ 50/65 ( 78%)] Loss: 4.163878 (5.1009) Acc@1: 50.8333 (41.6503) Acc@5: 86.6667 (68.5621) Time: 0.721s, 166.47/s LR: 3.520e-04 P_Replacement: 1.983327433031575e-06 + +2023-08-09 13:48:37,226 - train: [ INFO] - Train: 3 [ 64/65 (100%)] Loss: 4.326140 (4.9550) Acc@1: 45.8333 (43.2051) Acc@5: 75.8333 (69.8974) Time: 0.718s, 167.06/s LR: 3.520e-04 P_Replacement: 2.3431250021072504e-06 + +2023-08-09 13:48:38,275 - train: [ INFO] - Test: [ 0/7] Time: 0.896 (0.896) Loss: 3.3360 (3.3360) cLoss: 0.0000 (0.0000) Acc@1: 22.5000 (22.5000)Acc@5: 44.1667 (44.1667) + +2023-08-09 13:48:39,905 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.316) Loss: 2.7842 (3.6175) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (17.2414)Acc@5: 63.3333 (36.6667) + +2023-08-09 13:48:41,697 - train: [ INFO] - Train: 4 [ 0/65 ( 0%)] Loss: 4.355565 (4.3556) Acc@1: 53.3333 (53.3333) Acc@5: 77.5000 (77.5000) Time: 1.537s, 78.05/s LR: 4.689e-04 P_Replacement: 2.3703703703703707e-06 + +2023-08-09 13:49:16,842 - train: [ INFO] - Train: 4 [ 50/65 ( 78%)] Loss: 3.705967 (3.9162) Acc@1: 55.0000 (53.9869) Acc@5: 80.0000 (78.9706) Time: 0.719s, 166.85/s LR: 4.689e-04 P_Replacement: 4.017734621284917e-06 + +2023-08-09 13:49:26,661 - train: [ INFO] - Train: 4 [ 64/65 (100%)] Loss: 3.455150 (3.8134) Acc@1: 55.8333 (55.0769) Acc@5: 81.6667 (79.9359) Time: 0.715s, 167.75/s LR: 4.689e-04 P_Replacement: 4.587025944469731e-06 + +2023-08-09 13:49:27,720 - train: [ INFO] - Test: [ 0/7] Time: 0.930 (0.930) Loss: 2.8241 (2.8241) cLoss: 0.0000 (0.0000) Acc@1: 31.6667 (31.6667)Acc@5: 55.0000 (55.0000) + +2023-08-09 13:49:29,410 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.328) Loss: 2.9909 (2.7541) cLoss: 0.0000 (0.0000) Acc@1: 33.3333 (35.5172)Acc@5: 56.6667 (58.6207) + +2023-08-09 13:49:29,707 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-4.pth.tar', 35.517242694723194) + +2023-08-09 13:49:31,310 - train: [ INFO] - Train: 5 [ 0/65 ( 0%)] Loss: 3.896526 (3.8965) Acc@1: 50.0000 (50.0000) Acc@5: 79.1667 (79.1667) Time: 1.584s, 75.74/s LR: 5.855e-04 P_Replacement: 4.6296296296296296e-06 + +2023-08-09 13:50:06,493 - train: [ INFO] - Train: 5 [ 50/65 ( 78%)] Loss: 2.715256 (3.1374) Acc@1: 71.6667 (63.1209) Acc@5: 91.6667 (85.7680) Time: 0.721s, 166.46/s LR: 5.855e-04 P_Replacement: 7.11197086936732e-06 + +2023-08-09 13:50:16,292 - train: [ INFO] - Train: 5 [ 64/65 (100%)] Loss: 2.573906 (3.0430) Acc@1: 66.6667 (64.0769) Acc@5: 88.3333 (86.2692) Time: 0.716s, 167.52/s LR: 5.855e-04 P_Replacement: 7.93861919452452e-06 + +2023-08-09 13:50:17,358 - train: [ INFO] - Test: [ 0/7] Time: 0.894 (0.894) Loss: 2.7191 (2.7191) cLoss: 0.0000 (0.0000) Acc@1: 31.6667 (31.6667)Acc@5: 59.1667 (59.1667) + +2023-08-09 13:50:19,029 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.321) Loss: 2.2936 (2.7296) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (35.1724)Acc@5: 80.0000 (59.5402) + +2023-08-09 13:50:20,769 - train: [ INFO] - Train: 6 [ 0/65 ( 0%)] Loss: 2.553457 (2.5535) Acc@1: 69.1667 (69.1667) Acc@5: 90.0000 (90.0000) Time: 1.491s, 80.47/s LR: 5.854e-04 P_Replacement: 8.000000000000001e-06 + +2023-08-09 13:50:56,067 - train: [ INFO] - Train: 6 [ 50/65 ( 78%)] Loss: 2.447132 (2.3918) Acc@1: 70.8333 (70.8987) Acc@5: 94.1667 (90.0000) Time: 0.721s, 166.37/s LR: 5.854e-04 P_Replacement: 1.1488258399501006e-05 + +2023-08-09 13:51:05,966 - train: [ INFO] - Train: 6 [ 64/65 (100%)] Loss: 1.863892 (2.3525) Acc@1: 81.6667 (71.5128) Acc@5: 92.5000 (90.2436) Time: 0.718s, 167.08/s LR: 5.854e-04 P_Replacement: 1.2620126974493841e-05 + +2023-08-09 13:51:07,038 - train: [ INFO] - Test: [ 0/7] Time: 0.954 (0.954) Loss: 2.9801 (2.9801) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 62.5000 (62.5000) + +2023-08-09 13:51:08,656 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.322) Loss: 2.5856 (2.8663) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (30.5747)Acc@5: 63.3333 (59.1954) + +2023-08-09 13:51:10,550 - train: [ INFO] - Train: 7 [ 0/65 ( 0%)] Loss: 2.414155 (2.4142) Acc@1: 70.0000 (70.0000) Acc@5: 88.3333 (88.3333) Time: 1.584s, 75.76/s LR: 5.852e-04 P_Replacement: 1.2703703703703705e-05 + +2023-08-09 13:51:45,771 - train: [ INFO] - Train: 7 [ 50/65 ( 78%)] Loss: 1.607979 (1.9632) Acc@1: 85.8333 (76.7484) Acc@5: 95.8333 (92.7614) Time: 0.722s, 166.29/s LR: 5.852e-04 P_Replacement: 1.736881943390819e-05 + +2023-08-09 13:51:55,703 - train: [ INFO] - Train: 7 [ 64/65 (100%)] Loss: 1.388693 (1.9005) Acc@1: 88.3333 (77.2821) Acc@5: 97.5000 (93.0769) Time: 0.719s, 166.91/s LR: 5.852e-04 P_Replacement: 1.8853771506599906e-05 + +2023-08-09 13:51:56,683 - train: [ INFO] - Test: [ 0/7] Time: 0.873 (0.873) Loss: 2.2003 (2.2003) cLoss: 0.0000 (0.0000) Acc@1: 47.5000 (47.5000)Acc@5: 71.6667 (71.6667) + +2023-08-09 13:51:58,242 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.304) Loss: 2.4769 (2.4568) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (39.0805)Acc@5: 70.0000 (66.8966) + +2023-08-09 13:51:58,488 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-7.pth.tar', 39.080462357093545) + +2023-08-09 13:52:00,016 - train: [ INFO] - Train: 8 [ 0/65 ( 0%)] Loss: 1.656068 (1.6561) Acc@1: 80.0000 (80.0000) Acc@5: 93.3333 (93.3333) Time: 1.510s, 79.45/s LR: 5.849e-04 P_Replacement: 1.8962962962962966e-05 + +2023-08-09 13:52:35,273 - train: [ INFO] - Train: 8 [ 50/65 ( 78%)] Loss: 1.332389 (1.5226) Acc@1: 86.6667 (82.2059) Acc@5: 97.5000 (95.7843) Time: 0.721s, 166.46/s LR: 5.849e-04 P_Replacement: 2.4975876194811103e-05 + +2023-08-09 13:52:45,126 - train: [ INFO] - Train: 8 [ 64/65 (100%)] Loss: 1.337948 (1.4863) Acc@1: 82.5000 (82.4359) Acc@5: 96.6667 (95.8462) Time: 0.717s, 167.32/s LR: 5.849e-04 P_Replacement: 2.686177501306495e-05 + +2023-08-09 13:52:46,156 - train: [ INFO] - Test: [ 0/7] Time: 0.904 (0.904) Loss: 2.4955 (2.4955) cLoss: 0.0000 (0.0000) Acc@1: 41.6667 (41.6667)Acc@5: 62.5000 (62.5000) + +2023-08-09 13:52:47,839 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.323) Loss: 2.6678 (2.6187) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (38.1609)Acc@5: 66.6667 (64.1379) + +2023-08-09 13:52:49,611 - train: [ INFO] - Train: 9 [ 0/65 ( 0%)] Loss: 1.251557 (1.2516) Acc@1: 89.1667 (89.1667) Acc@5: 96.6667 (96.6667) Time: 1.544s, 77.70/s LR: 5.847e-04 P_Replacement: 2.6999999999999996e-05 + +2023-08-09 13:53:24,874 - train: [ INFO] - Train: 9 [ 50/65 ( 78%)] Loss: 0.957369 (1.1583) Acc@1: 88.3333 (87.0261) Acc@5: 99.1667 (97.2059) Time: 0.722s, 166.28/s LR: 5.847e-04 P_Replacement: 3.453165090443196e-05 + +2023-08-09 13:53:34,819 - train: [ INFO] - Train: 9 [ 64/65 (100%)] Loss: 1.073422 (1.1516) Acc@1: 87.5000 (87.0897) Acc@5: 97.5000 (97.3718) Time: 0.719s, 166.85/s LR: 5.847e-04 P_Replacement: 3.68663597161112e-05 + +2023-08-09 13:53:35,817 - train: [ INFO] - Test: [ 0/7] Time: 0.870 (0.870) Loss: 2.1426 (2.1426) cLoss: 0.0000 (0.0000) Acc@1: 44.1667 (44.1667)Acc@5: 74.1667 (74.1667) + +2023-08-09 13:53:37,446 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.312) Loss: 2.0893 (2.4401) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (42.5287)Acc@5: 70.0000 (67.9310) + +2023-08-09 13:53:37,686 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-9.pth.tar', 42.52873782453866) + +2023-08-09 13:53:39,223 - train: [ INFO] - Train: 10 [ 0/65 ( 0%)] Loss: 1.134269 (1.1343) Acc@1: 85.8333 (85.8333) Acc@5: 97.5000 (97.5000) Time: 1.520s, 78.93/s LR: 5.844e-04 P_Replacement: 3.7037037037037037e-05 + +2023-08-09 13:54:14,507 - train: [ INFO] - Train: 10 [ 50/65 ( 78%)] Loss: 0.884682 (0.9847) Acc@1: 89.1667 (88.8726) Acc@5: 99.1667 (97.9412) Time: 0.722s, 166.29/s LR: 5.844e-04 P_Replacement: 4.6258365784992997e-05 + +2023-08-09 13:54:24,378 - train: [ INFO] - Train: 10 [ 64/65 (100%)] Loss: 0.930291 (0.9554) Acc@1: 93.3333 (89.5256) Acc@5: 98.3333 (98.0769) Time: 0.718s, 167.12/s LR: 5.844e-04 P_Replacement: 4.9089747837960845e-05 + +2023-08-09 13:54:25,499 - train: [ INFO] - Test: [ 0/7] Time: 0.950 (0.950) Loss: 2.0793 (2.0793) cLoss: 0.0000 (0.0000) Acc@1: 50.8333 (50.8333)Acc@5: 70.8333 (70.8333) + +2023-08-09 13:54:27,165 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.327) Loss: 1.2979 (2.0318) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (50.2299)Acc@5: 86.6667 (73.9081) + +2023-08-09 13:54:27,451 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-10.pth.tar', 50.2298873375202) + +2023-08-09 13:54:28,977 - train: [ INFO] - Train: 11 [ 0/65 ( 0%)] Loss: 0.912549 (0.9125) Acc@1: 91.6667 (91.6667) Acc@5: 98.3333 (98.3333) Time: 1.511s, 79.42/s LR: 5.840e-04 P_Replacement: 4.92962962962963e-05 + +2023-08-09 13:55:04,272 - train: [ INFO] - Train: 11 [ 50/65 ( 78%)] Loss: 0.797427 (0.7857) Acc@1: 90.0000 (92.3366) Acc@5: 98.3333 (98.9706) Time: 0.722s, 166.29/s LR: 5.840e-04 P_Replacement: 6.037824305871642e-05 + +2023-08-09 13:55:14,155 - train: [ INFO] - Train: 11 [ 64/65 (100%)] Loss: 0.735746 (0.7752) Acc@1: 88.3333 (92.2821) Acc@5: 98.3333 (98.9103) Time: 0.718s, 167.08/s LR: 5.840e-04 P_Replacement: 6.375416160083615e-05 + +2023-08-09 13:55:15,242 - train: [ INFO] - Test: [ 0/7] Time: 0.955 (0.955) Loss: 2.3816 (2.3816) cLoss: 0.0000 (0.0000) Acc@1: 48.3333 (48.3333)Acc@5: 70.8333 (70.8333) + +2023-08-09 13:55:16,950 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.333) Loss: 2.2779 (2.4271) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (43.1035)Acc@5: 70.0000 (68.8506) + +2023-08-09 13:55:18,788 - train: [ INFO] - Train: 12 [ 0/65 ( 0%)] Loss: 0.806334 (0.8063) Acc@1: 93.3333 (93.3333) Acc@5: 99.1667 (99.1667) Time: 1.593s, 75.31/s LR: 5.837e-04 P_Replacement: 6.400000000000001e-05 + +2023-08-09 13:55:53,903 - train: [ INFO] - Train: 12 [ 50/65 ( 78%)] Loss: 0.583895 (0.6469) Acc@1: 96.6667 (94.4608) Acc@5: 100.0000 (99.1994) Time: 0.720s, 166.73/s LR: 5.837e-04 P_Replacement: 7.711350494782447e-05 + +2023-08-09 13:56:03,773 - train: [ INFO] - Train: 12 [ 64/65 (100%)] Loss: 0.567708 (0.6343) Acc@1: 98.3333 (94.5641) Acc@5: 100.0000 (99.1923) Time: 0.717s, 167.47/s LR: 5.837e-04 P_Replacement: 8.108182322695932e-05 + +2023-08-09 13:56:04,797 - train: [ INFO] - Test: [ 0/7] Time: 0.874 (0.874) Loss: 1.8435 (1.8435) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (56.6667)Acc@5: 77.5000 (77.5000) + +2023-08-09 13:56:06,446 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.315) Loss: 2.2968 (2.1124) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (50.1149)Acc@5: 70.0000 (72.2989) + +2023-08-09 13:56:08,245 - train: [ INFO] - Train: 13 [ 0/65 ( 0%)] Loss: 0.565668 (0.5657) Acc@1: 95.8333 (95.8333) Acc@5: 99.1667 (99.1667) Time: 1.518s, 79.04/s LR: 5.833e-04 P_Replacement: 8.137037037037037e-05 + +2023-08-09 13:56:43,519 - train: [ INFO] - Train: 13 [ 50/65 ( 78%)] Loss: 0.491353 (0.5312) Acc@1: 96.6667 (95.6699) Acc@5: 99.1667 (99.3628) Time: 0.721s, 166.35/s LR: 5.833e-04 P_Replacement: 9.668637367453935e-05 + +2023-08-09 13:56:53,367 - train: [ INFO] - Train: 13 [ 64/65 (100%)] Loss: 0.497603 (0.5180) Acc@1: 95.0000 (95.7821) Acc@5: 100.0000 (99.4103) Time: 0.717s, 167.25/s LR: 5.833e-04 P_Replacement: 0.00010129495493855256 + +2023-08-09 13:56:54,432 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 1.8549 (1.8549) cLoss: 0.0000 (0.0000) Acc@1: 55.0000 (55.0000)Acc@5: 79.1667 (79.1667) + +2023-08-09 13:56:56,083 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.322) Loss: 1.9397 (1.9221) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (54.8276)Acc@5: 83.3333 (77.7012) + +2023-08-09 13:56:56,342 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-13.pth.tar', 54.82758962696996) + +2023-08-09 13:56:57,918 - train: [ INFO] - Train: 14 [ 0/65 ( 0%)] Loss: 0.376245 (0.3762) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 1.556s, 77.11/s LR: 5.828e-04 P_Replacement: 0.00010162962962962964 + +2023-08-09 13:57:33,180 - train: [ INFO] - Train: 14 [ 50/65 ( 78%)] Loss: 0.407641 (0.4394) Acc@1: 96.6667 (96.9771) Acc@5: 99.1667 (99.4771) Time: 0.722s, 166.24/s LR: 5.828e-04 P_Replacement: 0.0001193190714610833 + +2023-08-09 13:57:43,057 - train: [ INFO] - Train: 14 [ 64/65 (100%)] Loss: 0.373695 (0.4296) Acc@1: 98.3333 (97.0000) Acc@5: 100.0000 (99.5128) Time: 0.718s, 167.06/s LR: 5.828e-04 P_Replacement: 0.00012461577895783813 + +2023-08-09 13:57:44,146 - train: [ INFO] - Test: [ 0/7] Time: 0.943 (0.943) Loss: 2.0772 (2.0772) cLoss: 0.0000 (0.0000) Acc@1: 49.1667 (49.1667)Acc@5: 73.3333 (73.3333) + +2023-08-09 13:57:45,837 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.329) Loss: 2.1556 (1.9630) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (51.9540)Acc@5: 63.3333 (76.4368) + +2023-08-09 13:57:47,689 - train: [ INFO] - Train: 15 [ 0/65 ( 0%)] Loss: 0.506243 (0.5062) Acc@1: 97.5000 (97.5000) Acc@5: 97.5000 (97.5000) Time: 1.593s, 75.32/s LR: 5.824e-04 P_Replacement: 0.00012500000000000003 + +2023-08-09 13:58:22,989 - train: [ INFO] - Train: 15 [ 50/65 ( 78%)] Loss: 0.317874 (0.3828) Acc@1: 97.5000 (97.5817) Acc@5: 100.0000 (99.6895) Time: 0.723s, 165.90/s LR: 5.824e-04 P_Replacement: 0.00014523382052967853 + +2023-08-09 13:58:32,854 - train: [ INFO] - Train: 15 [ 64/65 (100%)] Loss: 0.397129 (0.3763) Acc@1: 95.0000 (97.6154) Acc@5: 99.1667 (99.6795) Time: 0.719s, 166.83/s LR: 5.824e-04 P_Replacement: 0.00015126651750703822 + +2023-08-09 13:58:33,905 - train: [ INFO] - Test: [ 0/7] Time: 0.922 (0.922) Loss: 2.4405 (2.4405) cLoss: 0.0000 (0.0000) Acc@1: 45.8333 (45.8333)Acc@5: 72.5000 (72.5000) + +2023-08-09 13:58:35,505 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.315) Loss: 1.9959 (2.2379) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (47.0115)Acc@5: 66.6667 (72.0690) + +2023-08-09 13:58:37,362 - train: [ INFO] - Train: 16 [ 0/65 ( 0%)] Loss: 0.341330 (0.3413) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.578s, 76.03/s LR: 5.819e-04 P_Replacement: 0.00015170370370370373 + +2023-08-09 13:59:12,624 - train: [ INFO] - Train: 16 [ 50/65 ( 78%)] Loss: 0.382435 (0.3392) Acc@1: 95.8333 (98.3660) Acc@5: 100.0000 (99.7549) Time: 0.722s, 166.13/s LR: 5.819e-04 P_Replacement: 0.00017465284310254724 + +2023-08-09 13:59:22,493 - train: [ INFO] - Train: 16 [ 64/65 (100%)] Loss: 0.327423 (0.3319) Acc@1: 98.3333 (98.3205) Acc@5: 100.0000 (99.7436) Time: 0.719s, 167.00/s LR: 5.819e-04 P_Replacement: 0.00018146939280837507 + +2023-08-09 13:59:23,573 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 2.1899 (2.1899) cLoss: 0.0000 (0.0000) Acc@1: 48.3333 (48.3333)Acc@5: 75.8333 (75.8333) + +2023-08-09 13:59:25,248 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.325) Loss: 2.9413 (2.1599) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (50.0000)Acc@5: 56.6667 (72.5287) + +2023-08-09 13:59:27,088 - train: [ INFO] - Train: 17 [ 0/65 ( 0%)] Loss: 0.231656 (0.2317) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.553s, 77.26/s LR: 5.814e-04 P_Replacement: 0.00018196296296296293 + +2023-08-09 14:00:02,311 - train: [ INFO] - Train: 17 [ 50/65 ( 78%)] Loss: 0.223222 (0.2852) Acc@1: 100.0000 (98.3170) Acc@5: 100.0000 (99.8529) Time: 0.721s, 166.42/s LR: 5.814e-04 P_Replacement: 0.0002077983614019117 + +2023-08-09 14:00:12,236 - train: [ INFO] - Train: 17 [ 64/65 (100%)] Loss: 0.305230 (0.2796) Acc@1: 99.1667 (98.4231) Acc@5: 100.0000 (99.8718) Time: 0.718s, 167.03/s LR: 5.814e-04 P_Replacement: 0.0002154466270840709 + +2023-08-09 14:00:13,326 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 1.9316 (1.9316) cLoss: 0.0000 (0.0000) Acc@1: 51.6667 (51.6667)Acc@5: 71.6667 (71.6667) + +2023-08-09 14:00:15,032 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.331) Loss: 1.5262 (1.8600) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (55.9770)Acc@5: 86.6667 (78.1609) + +2023-08-09 14:00:15,303 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-17.pth.tar', 55.977013555066335) + +2023-08-09 14:00:16,895 - train: [ INFO] - Train: 18 [ 0/65 ( 0%)] Loss: 0.221371 (0.2214) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.574s, 76.24/s LR: 5.808e-04 P_Replacement: 0.00021599999999999996 + +2023-08-09 14:00:52,109 - train: [ INFO] - Train: 18 [ 50/65 ( 78%)] Loss: 0.253163 (0.2305) Acc@1: 98.3333 (99.0196) Acc@5: 99.1667 (99.9020) Time: 0.721s, 166.36/s LR: 5.808e-04 P_Replacement: 0.00024489259764999414 + +2023-08-09 14:01:01,898 - train: [ INFO] - Train: 18 [ 64/65 (100%)] Loss: 0.248384 (0.2272) Acc@1: 99.1667 (99.0256) Acc@5: 100.0000 (99.9231) Time: 0.717s, 167.47/s LR: 5.808e-04 P_Replacement: 0.0002534204425563478 + +2023-08-09 14:01:02,919 - train: [ INFO] - Test: [ 0/7] Time: 0.862 (0.862) Loss: 2.2911 (2.2911) cLoss: 0.0000 (0.0000) Acc@1: 50.8333 (50.8333)Acc@5: 71.6667 (71.6667) + +2023-08-09 14:01:04,519 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.308) Loss: 2.1008 (2.0910) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (50.8046)Acc@5: 70.0000 (75.5172) + +2023-08-09 14:01:06,314 - train: [ INFO] - Train: 19 [ 0/65 ( 0%)] Loss: 0.260092 (0.2601) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.525s, 78.67/s LR: 5.803e-04 P_Replacement: 0.0002540370370370371 + +2023-08-09 14:01:41,578 - train: [ INFO] - Train: 19 [ 50/65 ( 78%)] Loss: 0.202387 (0.2064) Acc@1: 99.1667 (98.9706) Acc@5: 100.0000 (99.9020) Time: 0.721s, 166.36/s LR: 5.803e-04 P_Replacement: 0.0002861577740690166 + +2023-08-09 14:01:51,464 - train: [ INFO] - Train: 19 [ 64/65 (100%)] Loss: 0.282678 (0.2052) Acc@1: 98.3333 (98.9744) Acc@5: 100.0000 (99.8974) Time: 0.718s, 167.12/s LR: 5.803e-04 P_Replacement: 0.0002956130614474283 + +2023-08-09 14:01:52,582 - train: [ INFO] - Test: [ 0/7] Time: 0.969 (0.969) Loss: 1.5817 (1.5817) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 80.0000 (80.0000) + +2023-08-09 14:01:54,292 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.335) Loss: 1.6281 (1.7687) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (58.8506)Acc@5: 80.0000 (80.8046) + +2023-08-09 14:01:54,560 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-19.pth.tar', 58.850577913481615) + +2023-08-09 14:01:56,167 - train: [ INFO] - Train: 20 [ 0/65 ( 0%)] Loss: 0.177878 (0.1779) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.591s, 75.42/s LR: 5.796e-04 P_Replacement: 0.0002962962962962963 + +2023-08-09 14:02:31,313 - train: [ INFO] - Train: 20 [ 50/65 ( 78%)] Loss: 0.165246 (0.1922) Acc@1: 100.0000 (99.3464) Acc@5: 100.0000 (99.9346) Time: 0.720s, 166.60/s LR: 5.796e-04 P_Replacement: 0.0003318161128812017 + +2023-08-09 14:02:41,212 - train: [ INFO] - Train: 20 [ 64/65 (100%)] Loss: 0.124772 (0.1889) Acc@1: 100.0000 (99.2564) Acc@5: 100.0000 (99.9103) Time: 0.717s, 167.27/s LR: 5.796e-04 P_Replacement: 0.0003422467059795343 + +2023-08-09 14:02:42,280 - train: [ INFO] - Test: [ 0/7] Time: 0.942 (0.942) Loss: 1.8248 (1.8248) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (56.6667)Acc@5: 75.0000 (75.0000) + +2023-08-09 14:02:43,962 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.328) Loss: 1.9555 (1.9209) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (56.4368)Acc@5: 80.0000 (76.8966) + +2023-08-09 14:02:45,749 - train: [ INFO] - Train: 21 [ 0/65 ( 0%)] Loss: 0.152819 (0.1528) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.532s, 78.31/s LR: 5.790e-04 P_Replacement: 0.0003430000000000001 + +2023-08-09 14:03:20,902 - train: [ INFO] - Train: 21 [ 50/65 ( 78%)] Loss: 0.163809 (0.1706) Acc@1: 100.0000 (99.2320) Acc@5: 100.0000 (99.9346) Time: 0.719s, 166.83/s LR: 5.790e-04 P_Replacement: 0.00038208983630877116 + +2023-08-09 14:03:30,713 - train: [ INFO] - Train: 21 [ 64/65 (100%)] Loss: 0.125044 (0.1686) Acc@1: 100.0000 (99.2821) Acc@5: 100.0000 (99.9359) Time: 0.715s, 167.77/s LR: 5.790e-04 P_Replacement: 0.00039354359837488837 + +2023-08-09 14:03:31,812 - train: [ INFO] - Test: [ 0/7] Time: 0.921 (0.921) Loss: 2.1100 (2.1100) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (50.0000)Acc@5: 75.0000 (75.0000) + +2023-08-09 14:03:33,387 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.312) Loss: 2.1523 (2.0613) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (51.1494)Acc@5: 76.6667 (77.1264) + +2023-08-09 14:03:35,114 - train: [ INFO] - Train: 22 [ 0/65 ( 0%)] Loss: 0.138062 (0.1381) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.472s, 81.50/s LR: 5.783e-04 P_Replacement: 0.0003943703703703704 + +2023-08-09 14:04:10,360 - train: [ INFO] - Train: 22 [ 50/65 ( 78%)] Loss: 0.115626 (0.1549) Acc@1: 100.0000 (99.4608) Acc@5: 100.0000 (99.9673) Time: 0.720s, 166.69/s LR: 5.783e-04 P_Replacement: 0.00043720116657394774 + +2023-08-09 14:04:20,291 - train: [ INFO] - Train: 22 [ 64/65 (100%)] Loss: 0.165509 (0.1536) Acc@1: 98.3333 (99.4231) Acc@5: 100.0000 (99.9615) Time: 0.718s, 167.22/s LR: 5.783e-04 P_Replacement: 0.0004497259608557123 + +2023-08-09 14:04:21,367 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 2.2520 (2.2520) cLoss: 0.0000 (0.0000) Acc@1: 51.6667 (51.6667)Acc@5: 72.5000 (72.5000) + +2023-08-09 14:04:22,967 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.316) Loss: 2.1062 (2.1231) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (51.0345)Acc@5: 80.0000 (75.8621) + +2023-08-09 14:04:24,735 - train: [ INFO] - Train: 23 [ 0/65 ( 0%)] Loss: 0.132805 (0.1328) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.519s, 78.98/s LR: 5.776e-04 P_Replacement: 0.00045062962962962955 + +2023-08-09 14:05:00,112 - train: [ INFO] - Train: 23 [ 50/65 ( 78%)] Loss: 0.174456 (0.1588) Acc@1: 98.3333 (99.3791) Acc@5: 100.0000 (99.9673) Time: 0.723s, 165.88/s LR: 5.776e-04 P_Replacement: 0.0004973723258989531 + +2023-08-09 14:05:10,054 - train: [ INFO] - Train: 23 [ 64/65 (100%)] Loss: 0.120259 (0.1537) Acc@1: 99.1667 (99.4231) Acc@5: 100.0000 (99.9744) Time: 0.721s, 166.54/s LR: 5.776e-04 P_Replacement: 0.0005110160156442287 + +2023-08-09 14:05:11,165 - train: [ INFO] - Test: [ 0/7] Time: 0.955 (0.955) Loss: 1.6381 (1.6381) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (60.0000)Acc@5: 83.3333 (83.3333) + +2023-08-09 14:05:12,873 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.333) Loss: 1.5717 (1.8034) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (57.3563)Acc@5: 93.3333 (80.6897) + +2023-08-09 14:05:14,719 - train: [ INFO] - Train: 24 [ 0/65 ( 0%)] Loss: 0.203790 (0.2038) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.571s, 76.38/s LR: 5.769e-04 P_Replacement: 0.0005120000000000001 + +2023-08-09 14:05:50,105 - train: [ INFO] - Train: 24 [ 50/65 ( 78%)] Loss: 0.134882 (0.1321) Acc@1: 100.0000 (99.7386) Acc@5: 100.0000 (99.9673) Time: 0.725s, 165.61/s LR: 5.769e-04 P_Replacement: 0.0005628255365060101 + +2023-08-09 14:05:59,945 - train: [ INFO] - Train: 24 [ 64/65 (100%)] Loss: 0.085106 (0.1285) Acc@1: 100.0000 (99.7308) Acc@5: 100.0000 (99.9487) Time: 0.720s, 166.69/s LR: 5.769e-04 P_Replacement: 0.0005776359849626595 + +2023-08-09 14:06:00,992 - train: [ INFO] - Test: [ 0/7] Time: 0.905 (0.905) Loss: 1.6204 (1.6204) cLoss: 0.0000 (0.0000) Acc@1: 60.8333 (60.8333)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:06:02,623 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.317) Loss: 1.8904 (1.7822) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (57.5862)Acc@5: 86.6667 (80.2299) + +2023-08-09 14:06:04,403 - train: [ INFO] - Train: 25 [ 0/65 ( 0%)] Loss: 0.104763 (0.1048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.534s, 78.23/s LR: 5.761e-04 P_Replacement: 0.0005787037037037036 + +2023-08-09 14:06:39,647 - train: [ INFO] - Train: 25 [ 50/65 ( 78%)] Loss: 0.111375 (0.1156) Acc@1: 100.0000 (99.6569) Acc@5: 100.0000 (99.9837) Time: 0.721s, 166.42/s LR: 5.761e-04 P_Replacement: 0.0006337830206173402 + +2023-08-09 14:06:49,548 - train: [ INFO] - Train: 25 [ 64/65 (100%)] Loss: 0.142136 (0.1171) Acc@1: 100.0000 (99.6667) Acc@5: 100.0000 (99.9744) Time: 0.718s, 167.11/s LR: 5.761e-04 P_Replacement: 0.0006498080910332273 + +2023-08-09 14:06:50,603 - train: [ INFO] - Test: [ 0/7] Time: 0.907 (0.907) Loss: 1.8791 (1.8791) cLoss: 0.0000 (0.0000) Acc@1: 54.1667 (54.1667)Acc@5: 78.3333 (78.3333) + +2023-08-09 14:06:52,193 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.312) Loss: 1.3841 (1.9858) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (54.4828)Acc@5: 86.6667 (77.2414) + +2023-08-09 14:06:53,983 - train: [ INFO] - Train: 26 [ 0/65 ( 0%)] Loss: 0.118569 (0.1186) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.80/s LR: 5.753e-04 P_Replacement: 0.000650962962962963 + +2023-08-09 14:07:29,260 - train: [ INFO] - Train: 26 [ 50/65 ( 78%)] Loss: 0.078923 (0.1153) Acc@1: 100.0000 (99.7386) Acc@5: 100.0000 (99.9837) Time: 0.721s, 166.40/s LR: 5.753e-04 P_Replacement: 0.000710467000455166 + +2023-08-09 14:07:39,117 - train: [ INFO] - Train: 26 [ 64/65 (100%)] Loss: 0.137007 (0.1150) Acc@1: 100.0000 (99.7308) Acc@5: 100.0000 (99.9744) Time: 0.717s, 167.26/s LR: 5.753e-04 P_Replacement: 0.0007277545560781537 + +2023-08-09 14:07:40,145 - train: [ INFO] - Test: [ 0/7] Time: 0.910 (0.910) Loss: 2.1056 (2.1056) cLoss: 0.0000 (0.0000) Acc@1: 50.8333 (50.8333)Acc@5: 75.0000 (75.0000) + +2023-08-09 14:07:41,690 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.307) Loss: 1.6774 (2.1938) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (50.5747)Acc@5: 83.3333 (74.9425) + +2023-08-09 14:07:43,499 - train: [ INFO] - Train: 27 [ 0/65 ( 0%)] Loss: 0.177358 (0.1774) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.566s, 76.61/s LR: 5.745e-04 P_Replacement: 0.0007289999999999999 + +2023-08-09 14:08:18,794 - train: [ INFO] - Train: 27 [ 50/65 ( 78%)] Loss: 0.119459 (0.1051) Acc@1: 99.1667 (99.6732) Acc@5: 100.0000 (99.9837) Time: 0.723s, 166.04/s LR: 5.745e-04 P_Replacement: 0.0007930996982417101 + +2023-08-09 14:08:28,665 - train: [ INFO] - Train: 27 [ 64/65 (100%)] Loss: 0.109444 (0.1029) Acc@1: 100.0000 (99.7180) Acc@5: 100.0000 (99.9872) Time: 0.719s, 166.92/s LR: 5.745e-04 P_Replacement: 0.0008116976023196614 + +2023-08-09 14:08:29,693 - train: [ INFO] - Test: [ 0/7] Time: 0.930 (0.930) Loss: 1.7076 (1.7076) cLoss: 0.0000 (0.0000) Acc@1: 55.0000 (55.0000)Acc@5: 80.0000 (80.0000) + +2023-08-09 14:08:31,314 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.319) Loss: 2.5174 (1.9106) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (54.4828)Acc@5: 66.6667 (78.2759) + +2023-08-09 14:08:33,263 - train: [ INFO] - Train: 28 [ 0/65 ( 0%)] Loss: 0.108405 (0.1084) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.633s, 73.47/s LR: 5.736e-04 P_Replacement: 0.0008130370370370371 + +2023-08-09 14:09:08,395 - train: [ INFO] - Train: 28 [ 50/65 ( 78%)] Loss: 0.076918 (0.1034) Acc@1: 100.0000 (99.7222) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.47/s LR: 5.736e-04 P_Replacement: 0.0008819033361991941 + +2023-08-09 14:09:18,288 - train: [ INFO] - Train: 28 [ 64/65 (100%)] Loss: 0.079245 (0.1044) Acc@1: 100.0000 (99.7051) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.18/s LR: 5.736e-04 P_Replacement: 0.0009018594519799727 + +2023-08-09 14:09:19,386 - train: [ INFO] - Test: [ 0/7] Time: 0.932 (0.932) Loss: 1.8553 (1.8553) cLoss: 0.0000 (0.0000) Acc@1: 55.8333 (55.8333)Acc@5: 80.8333 (80.8333) + +2023-08-09 14:09:20,974 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.315) Loss: 1.8751 (1.8489) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (56.4368)Acc@5: 73.3333 (79.0805) + +2023-08-09 14:09:22,835 - train: [ INFO] - Train: 29 [ 0/65 ( 0%)] Loss: 0.126436 (0.1264) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.583s, 75.83/s LR: 5.728e-04 P_Replacement: 0.0009032962962962962 + +2023-08-09 14:09:57,964 - train: [ INFO] - Train: 29 [ 50/65 ( 78%)] Loss: 0.071987 (0.0968) Acc@1: 100.0000 (99.8203) Acc@5: 100.0000 (99.9837) Time: 0.720s, 166.71/s LR: 5.728e-04 P_Replacement: 0.0009771001365498407 + +2023-08-09 14:10:07,826 - train: [ INFO] - Train: 29 [ 64/65 (100%)] Loss: 0.059489 (0.0971) Acc@1: 100.0000 (99.7821) Acc@5: 100.0000 (99.9744) Time: 0.716s, 167.49/s LR: 5.728e-04 P_Replacement: 0.0009984623272813093 + +2023-08-09 14:10:08,879 - train: [ INFO] - Test: [ 0/7] Time: 0.898 (0.898) Loss: 1.8819 (1.8819) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 77.5000 (77.5000) + +2023-08-09 14:10:10,518 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.317) Loss: 2.1719 (1.9277) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (55.6322)Acc@5: 76.6667 (79.6552) + +2023-08-09 14:10:12,389 - train: [ INFO] - Train: 30 [ 0/65 ( 0%)] Loss: 0.080924 (0.0809) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.583s, 75.80/s LR: 5.718e-04 P_Replacement: 0.0010000000000000002 + +2023-08-09 14:10:47,533 - train: [ INFO] - Train: 30 [ 50/65 ( 78%)] Loss: 0.082936 (0.0852) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.65/s LR: 5.718e-04 P_Replacement: 0.0010789123215158717 + +2023-08-09 14:10:57,405 - train: [ INFO] - Train: 30 [ 64/65 (100%)] Loss: 0.075079 (0.0826) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.40/s LR: 5.718e-04 P_Replacement: 0.0011017284504458943 + +2023-08-09 14:10:58,464 - train: [ INFO] - Test: [ 0/7] Time: 0.929 (0.929) Loss: 1.4260 (1.4260) cLoss: 0.0000 (0.0000) Acc@1: 65.8333 (65.8333)Acc@5: 81.6667 (81.6667) + +2023-08-09 14:11:00,131 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.325) Loss: 2.5520 (1.6689) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (60.5747)Acc@5: 66.6667 (82.4138) + +2023-08-09 14:11:00,419 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-30.pth.tar', 60.574715318350954) + +2023-08-09 14:11:02,054 - train: [ INFO] - Train: 31 [ 0/65 ( 0%)] Loss: 0.098875 (0.0989) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.619s, 74.12/s LR: 5.709e-04 P_Replacement: 0.0011033703703703704 + +2023-08-09 14:11:37,145 - train: [ INFO] - Train: 31 [ 50/65 ( 78%)] Loss: 0.065599 (0.0872) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.72/s LR: 5.709e-04 P_Replacement: 0.0011875621133195099 + +2023-08-09 14:11:47,043 - train: [ INFO] - Train: 31 [ 64/65 (100%)] Loss: 0.063870 (0.0846) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.36/s LR: 5.709e-04 P_Replacement: 0.0012118800436959488 + +2023-08-09 14:11:48,116 - train: [ INFO] - Test: [ 0/7] Time: 0.950 (0.950) Loss: 1.6214 (1.6214) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 83.3333 (83.3333) + +2023-08-09 14:11:49,762 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.324) Loss: 1.2381 (1.7221) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (59.5402)Acc@5: 93.3333 (81.6092) + +2023-08-09 14:11:51,562 - train: [ INFO] - Train: 32 [ 0/65 ( 0%)] Loss: 0.097008 (0.0970) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.522s, 78.82/s LR: 5.699e-04 P_Replacement: 0.0012136296296296298 + +2023-08-09 14:12:26,861 - train: [ INFO] - Train: 32 [ 50/65 ( 78%)] Loss: 0.088770 (0.0849) Acc@1: 100.0000 (99.7549) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.22/s LR: 5.699e-04 P_Replacement: 0.0013032717341829767 + +2023-08-09 14:12:36,714 - train: [ INFO] - Train: 32 [ 64/65 (100%)] Loss: 0.069208 (0.0846) Acc@1: 100.0000 (99.7692) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.12/s LR: 5.699e-04 P_Replacement: 0.0013291393292536964 + +2023-08-09 14:12:37,714 - train: [ INFO] - Test: [ 0/7] Time: 0.870 (0.870) Loss: 1.6926 (1.6926) cLoss: 0.0000 (0.0000) Acc@1: 57.5000 (57.5000)Acc@5: 82.5000 (82.5000) + +2023-08-09 14:12:39,342 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.312) Loss: 2.0040 (1.7527) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (57.0115)Acc@5: 86.6667 (81.1494) + +2023-08-09 14:12:41,165 - train: [ INFO] - Train: 33 [ 0/65 ( 0%)] Loss: 0.076503 (0.0765) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.581s, 75.91/s LR: 5.689e-04 P_Replacement: 0.001331 + +2023-08-09 14:13:16,481 - train: [ INFO] - Train: 33 [ 50/65 ( 78%)] Loss: 0.068865 (0.0856) Acc@1: 100.0000 (99.7712) Acc@5: 100.0000 (99.9837) Time: 0.723s, 165.88/s LR: 5.689e-04 P_Replacement: 0.0014262634063284953 + +2023-08-09 14:13:26,423 - train: [ INFO] - Train: 33 [ 64/65 (100%)] Loss: 0.100265 (0.0836) Acc@1: 100.0000 (99.8077) Acc@5: 100.0000 (99.9872) Time: 0.721s, 166.54/s LR: 5.689e-04 P_Replacement: 0.0014537285293413577 + +2023-08-09 14:13:27,493 - train: [ INFO] - Test: [ 0/7] Time: 0.944 (0.944) Loss: 1.4576 (1.4576) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 82.5000 (82.5000) + +2023-08-09 14:13:29,131 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.323) Loss: 1.6145 (1.5831) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (61.9540)Acc@5: 86.6667 (82.6437) + +2023-08-09 14:13:29,389 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-33.pth.tar', 61.95402526855469) + +2023-08-09 14:13:31,008 - train: [ INFO] - Train: 34 [ 0/65 ( 0%)] Loss: 0.066983 (0.0670) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.601s, 74.96/s LR: 5.679e-04 P_Replacement: 0.0014557037037037034 + +2023-08-09 14:14:06,215 - train: [ INFO] - Train: 34 [ 50/65 ( 78%)] Loss: 0.080478 (0.0763) Acc@1: 99.1667 (99.8856) Acc@5: 100.0000 (99.9837) Time: 0.722s, 166.28/s LR: 5.679e-04 P_Replacement: 0.0015567593519782868 + +2023-08-09 14:14:16,070 - train: [ INFO] - Train: 34 [ 64/65 (100%)] Loss: 0.083126 (0.0787) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (99.9615) Time: 0.718s, 167.17/s LR: 5.679e-04 P_Replacement: 0.0015858698661811563 + +2023-08-09 14:14:17,189 - train: [ INFO] - Test: [ 0/7] Time: 0.965 (0.965) Loss: 2.0523 (2.0523) cLoss: 0.0000 (0.0000) Acc@1: 50.8333 (50.8333)Acc@5: 74.1667 (74.1667) + +2023-08-09 14:14:18,888 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.333) Loss: 2.2890 (1.9447) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (57.1264)Acc@5: 80.0000 (77.8161) + +2023-08-09 14:14:20,660 - train: [ INFO] - Train: 35 [ 0/65 ( 0%)] Loss: 0.113771 (0.1138) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.483s, 80.92/s LR: 5.668e-04 P_Replacement: 0.0015879629629629631 + +2023-08-09 14:14:55,922 - train: [ INFO] - Train: 35 [ 50/65 ( 78%)] Loss: 0.142257 (0.0831) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.56/s LR: 5.668e-04 P_Replacement: 0.0016949817933545747 + +2023-08-09 14:15:05,817 - train: [ INFO] - Train: 35 [ 64/65 (100%)] Loss: 0.098849 (0.0815) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.25/s LR: 5.668e-04 P_Replacement: 0.0017257855619953134 + +2023-08-09 14:15:06,855 - train: [ INFO] - Test: [ 0/7] Time: 0.885 (0.885) Loss: 2.1284 (2.1284) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (53.3333)Acc@5: 75.8333 (75.8333) + +2023-08-09 14:15:08,525 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.319) Loss: 2.1720 (1.7364) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (57.8161)Acc@5: 76.6667 (81.3793) + +2023-08-09 14:15:10,334 - train: [ INFO] - Train: 36 [ 0/65 ( 0%)] Loss: 0.072364 (0.0724) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.518s, 79.06/s LR: 5.657e-04 P_Replacement: 0.0017279999999999997 + +2023-08-09 14:15:45,641 - train: [ INFO] - Train: 36 [ 50/65 ( 78%)] Loss: 0.072200 (0.0697) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (99.9837) Time: 0.722s, 166.20/s LR: 5.657e-04 P_Replacement: 0.00184115295267958 + +2023-08-09 14:15:55,510 - train: [ INFO] - Train: 36 [ 64/65 (100%)] Loss: 0.055121 (0.0708) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (99.9872) Time: 0.718s, 167.06/s LR: 5.657e-04 P_Replacement: 0.0018736978390060523 + +2023-08-09 14:15:56,534 - train: [ INFO] - Test: [ 0/7] Time: 0.898 (0.898) Loss: 1.9185 (1.9185) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 75.8333 (75.8333) + +2023-08-09 14:15:58,103 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.308) Loss: 1.7594 (1.6845) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (61.2644)Acc@5: 83.3333 (81.9540) + +2023-08-09 14:16:00,002 - train: [ INFO] - Train: 37 [ 0/65 ( 0%)] Loss: 0.058514 (0.0585) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.601s, 74.96/s LR: 5.646e-04 P_Replacement: 0.0018760370370370372 + +2023-08-09 14:16:35,266 - train: [ INFO] - Train: 37 [ 50/65 ( 78%)] Loss: 0.106287 (0.0864) Acc@1: 100.0000 (99.8203) Acc@5: 100.0000 (99.9837) Time: 0.723s, 166.03/s LR: 5.646e-04 P_Replacement: 0.001995495052175526 + +2023-08-09 14:16:45,088 - train: [ INFO] - Train: 37 [ 64/65 (100%)] Loss: 0.079263 (0.0847) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (99.9872) Time: 0.718s, 167.08/s LR: 5.646e-04 P_Replacement: 0.002029828919435593 + +2023-08-09 14:16:46,163 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 1.7988 (1.7988) cLoss: 0.0000 (0.0000) Acc@1: 60.8333 (60.8333)Acc@5: 78.3333 (78.3333) + +2023-08-09 14:16:47,834 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.326) Loss: 1.4475 (1.5094) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (66.2069)Acc@5: 80.0000 (84.3678) + +2023-08-09 14:16:48,129 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-37.pth.tar', 66.20689918254983) + +2023-08-09 14:16:49,725 - train: [ INFO] - Train: 38 [ 0/65 ( 0%)] Loss: 0.103728 (0.1037) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.581s, 75.91/s LR: 5.634e-04 P_Replacement: 0.002032296296296297 + +2023-08-09 14:17:24,913 - train: [ INFO] - Train: 38 [ 50/65 ( 78%)] Loss: 0.062664 (0.0807) Acc@1: 100.0000 (99.7876) Acc@5: 100.0000 (99.9837) Time: 0.721s, 166.46/s LR: 5.634e-04 P_Replacement: 0.002158230314064634 + +2023-08-09 14:17:34,775 - train: [ INFO] - Train: 38 [ 64/65 (100%)] Loss: 0.134110 (0.0819) Acc@1: 99.1667 (99.8077) Acc@5: 100.0000 (99.9872) Time: 0.717s, 167.29/s LR: 5.634e-04 P_Replacement: 0.002194401025506162 + +2023-08-09 14:17:35,797 - train: [ INFO] - Test: [ 0/7] Time: 0.877 (0.877) Loss: 1.6603 (1.6603) cLoss: 0.0000 (0.0000) Acc@1: 61.6667 (61.6667)Acc@5: 81.6667 (81.6667) + +2023-08-09 14:17:37,495 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.322) Loss: 1.8675 (1.8423) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (57.2414)Acc@5: 80.0000 (81.3793) + +2023-08-09 14:17:39,242 - train: [ INFO] - Train: 39 [ 0/65 ( 0%)] Loss: 0.061429 (0.0614) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.516s, 79.13/s LR: 5.623e-04 P_Replacement: 0.002197 + +2023-08-09 14:18:14,478 - train: [ INFO] - Train: 39 [ 50/65 ( 78%)] Loss: 0.068092 (0.0861) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.53/s LR: 5.623e-04 P_Replacement: 0.002329580960569126 + +2023-08-09 14:18:24,412 - train: [ INFO] - Train: 39 [ 64/65 (100%)] Loss: 0.157565 (0.0857) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.08/s LR: 5.623e-04 P_Replacement: 0.002367636379439977 + +2023-08-09 14:18:25,448 - train: [ INFO] - Test: [ 0/7] Time: 0.884 (0.884) Loss: 1.7629 (1.7629) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 80.0000 (80.0000) + +2023-08-09 14:18:27,177 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.327) Loss: 1.7891 (1.7835) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (61.0345)Acc@5: 76.6667 (79.7701) + +2023-08-09 14:18:28,980 - train: [ INFO] - Train: 40 [ 0/65 ( 0%)] Loss: 0.097000 (0.0970) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.528s, 78.55/s LR: 5.610e-04 P_Replacement: 0.0023703703703703703 + +2023-08-09 14:19:04,321 - train: [ INFO] - Train: 40 [ 50/65 ( 78%)] Loss: 0.056364 (0.0879) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.00/s LR: 5.610e-04 P_Replacement: 0.0025097692139112253 + +2023-08-09 14:19:14,221 - train: [ INFO] - Train: 40 [ 64/65 (100%)] Loss: 0.067760 (0.0843) Acc@1: 99.1667 (99.8590) Acc@5: 100.0000 (99.9872) Time: 0.719s, 166.79/s LR: 5.610e-04 P_Replacement: 0.002549757203459262 + +2023-08-09 14:19:15,229 - train: [ INFO] - Test: [ 0/7] Time: 0.882 (0.882) Loss: 1.7192 (1.7192) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (60.0000)Acc@5: 81.6667 (81.6667) + +2023-08-09 14:19:16,891 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.318) Loss: 2.0482 (1.6654) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (61.9540)Acc@5: 76.6667 (81.9540) + +2023-08-09 14:19:18,699 - train: [ INFO] - Train: 41 [ 0/65 ( 0%)] Loss: 0.052269 (0.0523) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.521s, 78.88/s LR: 5.598e-04 P_Replacement: 0.002552629629629629 + +2023-08-09 14:19:53,848 - train: [ INFO] - Train: 41 [ 50/65 ( 78%)] Loss: 0.116873 (0.0811) Acc@1: 99.1667 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.90/s LR: 5.598e-04 P_Replacement: 0.0026990172963131547 + +2023-08-09 14:20:03,731 - train: [ INFO] - Train: 41 [ 64/65 (100%)] Loss: 0.083634 (0.0836) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.56/s LR: 5.598e-04 P_Replacement: 0.0027409857197862398 + +2023-08-09 14:20:04,757 - train: [ INFO] - Test: [ 0/7] Time: 0.894 (0.894) Loss: 1.9267 (1.9267) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 76.6667 (76.6667) + +2023-08-09 14:20:06,479 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.327) Loss: 1.7744 (1.8102) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (59.3103)Acc@5: 80.0000 (79.3103) + +2023-08-09 14:20:08,267 - train: [ INFO] - Train: 42 [ 0/65 ( 0%)] Loss: 0.090660 (0.0907) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.508s, 79.56/s LR: 5.585e-04 P_Replacement: 0.0027440000000000008 + +2023-08-09 14:20:43,583 - train: [ INFO] - Train: 42 [ 50/65 ( 78%)] Loss: 0.072314 (0.0865) Acc@1: 99.1667 (99.8203) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.20/s LR: 5.585e-04 P_Replacement: 0.0028975474299971346 + +2023-08-09 14:20:53,388 - train: [ INFO] - Train: 42 [ 64/65 (100%)] Loss: 0.070024 (0.0840) Acc@1: 100.0000 (99.8333) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.29/s LR: 5.585e-04 P_Replacement: 0.0029415441506431337 + +2023-08-09 14:20:54,436 - train: [ INFO] - Test: [ 0/7] Time: 0.896 (0.896) Loss: 1.3193 (1.3193) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 88.3333 (88.3333) + +2023-08-09 14:20:56,106 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.321) Loss: 1.6956 (1.6188) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (61.6092)Acc@5: 90.0000 (82.5287) + +2023-08-09 14:20:57,901 - train: [ INFO] - Train: 43 [ 0/65 ( 0%)] Loss: 0.075801 (0.0758) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.530s, 78.44/s LR: 5.572e-04 P_Replacement: 0.002944703703703704 + +2023-08-09 14:21:33,107 - train: [ INFO] - Train: 43 [ 50/65 ( 78%)] Loss: 0.083626 (0.0702) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.60/s LR: 5.572e-04 P_Replacement: 0.0031055818371853875 + +2023-08-09 14:21:42,983 - train: [ INFO] - Train: 43 [ 64/65 (100%)] Loss: 0.090648 (0.0710) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.35/s LR: 5.572e-04 P_Replacement: 0.0031516547182521624 + +2023-08-09 14:21:44,046 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 1.7029 (1.7029) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 79.1667 (79.1667) + +2023-08-09 14:21:45,646 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.316) Loss: 1.6510 (1.7097) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (60.4598)Acc@5: 80.0000 (81.7241) + +2023-08-09 14:21:47,514 - train: [ INFO] - Train: 44 [ 0/65 ( 0%)] Loss: 0.067201 (0.0672) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.569s, 76.49/s LR: 5.559e-04 P_Replacement: 0.003154962962962963 + +2023-08-09 14:22:22,670 - train: [ INFO] - Train: 44 [ 50/65 ( 78%)] Loss: 0.057524 (0.0747) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (99.9673) Time: 0.720s, 166.65/s LR: 5.559e-04 P_Replacement: 0.003323342740100136 + +2023-08-09 14:22:32,582 - train: [ INFO] - Train: 44 [ 64/65 (100%)] Loss: 0.170898 (0.0773) Acc@1: 99.1667 (99.8590) Acc@5: 100.0000 (99.9744) Time: 0.717s, 167.26/s LR: 5.559e-04 P_Replacement: 0.00337153964483555 + +2023-08-09 14:22:33,611 - train: [ INFO] - Test: [ 0/7] Time: 0.872 (0.872) Loss: 1.6388 (1.6388) cLoss: 0.0000 (0.0000) Acc@1: 62.5000 (62.5000)Acc@5: 83.3333 (83.3333) + +2023-08-09 14:22:35,381 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.330) Loss: 2.7149 (1.9310) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (58.2759)Acc@5: 66.6667 (78.6207) + +2023-08-09 14:22:37,202 - train: [ INFO] - Train: 45 [ 0/65 ( 0%)] Loss: 0.096527 (0.0965) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.530s, 78.44/s LR: 5.546e-04 P_Replacement: 0.0033749999999999995 + +2023-08-09 14:23:12,488 - train: [ INFO] - Train: 45 [ 50/65 ( 78%)] Loss: 0.079457 (0.0880) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.26/s LR: 5.546e-04 P_Replacement: 0.0035510523609636043 + +2023-08-09 14:23:22,370 - train: [ INFO] - Train: 45 [ 64/65 (100%)] Loss: 0.080591 (0.0855) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.06/s LR: 5.546e-04 P_Replacement: 0.003601421152615519 + +2023-08-09 14:23:23,451 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 1.5395 (1.5395) cLoss: 0.0000 (0.0000) Acc@1: 61.6667 (61.6667)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:23:25,067 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.318) Loss: 1.5322 (1.6658) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (61.1494)Acc@5: 90.0000 (83.1035) + +2023-08-09 14:23:26,951 - train: [ INFO] - Train: 46 [ 0/65 ( 0%)] Loss: 0.054793 (0.0548) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.606s, 74.74/s LR: 5.532e-04 P_Replacement: 0.0036050370370370364 + +2023-08-09 14:24:02,085 - train: [ INFO] - Train: 46 [ 50/65 ( 78%)] Loss: 0.061286 (0.0822) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.59/s LR: 5.532e-04 P_Replacement: 0.0037889329219980114 + +2023-08-09 14:24:11,971 - train: [ INFO] - Train: 46 [ 64/65 (100%)] Loss: 0.099441 (0.0839) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.30/s LR: 5.532e-04 P_Replacement: 0.003841521463814293 + +2023-08-09 14:24:12,996 - train: [ INFO] - Test: [ 0/7] Time: 0.876 (0.876) Loss: 1.8442 (1.8442) cLoss: 0.0000 (0.0000) Acc@1: 57.5000 (57.5000)Acc@5: 82.5000 (82.5000) + +2023-08-09 14:24:14,599 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.310) Loss: 2.2327 (1.6744) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (59.0805)Acc@5: 90.0000 (85.4023) + +2023-08-09 14:24:16,375 - train: [ INFO] - Train: 47 [ 0/65 ( 0%)] Loss: 0.074103 (0.0741) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.489s, 80.58/s LR: 5.518e-04 P_Replacement: 0.003845296296296297 + +2023-08-09 14:24:51,621 - train: [ INFO] - Train: 47 [ 50/65 ( 78%)] Loss: 0.056425 (0.0778) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.61/s LR: 5.518e-04 P_Replacement: 0.00403720664542558 + +2023-08-09 14:25:01,510 - train: [ INFO] - Train: 47 [ 64/65 (100%)] Loss: 0.091862 (0.0755) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.31/s LR: 5.518e-04 P_Replacement: 0.004092062800654091 + +2023-08-09 14:25:02,506 - train: [ INFO] - Test: [ 0/7] Time: 0.871 (0.871) Loss: 1.7743 (1.7743) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 77.5000 (77.5000) + +2023-08-09 14:25:04,172 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.317) Loss: 1.0682 (1.4664) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (65.5172)Acc@5: 86.6667 (84.7126) + +2023-08-09 14:25:05,950 - train: [ INFO] - Train: 48 [ 0/65 ( 0%)] Loss: 0.075393 (0.0754) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.486s, 80.77/s LR: 5.503e-04 P_Replacement: 0.004096000000000001 + +2023-08-09 14:25:41,147 - train: [ INFO] - Train: 48 [ 50/65 ( 78%)] Loss: 0.050660 (0.0855) Acc@1: 100.0000 (99.8366) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.87/s LR: 5.503e-04 P_Replacement: 0.004296095753468534 + +2023-08-09 14:25:51,004 - train: [ INFO] - Train: 48 [ 64/65 (100%)] Loss: 0.068712 (0.0811) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.63/s LR: 5.503e-04 P_Replacement: 0.004353267385357137 + +2023-08-09 14:25:52,011 - train: [ INFO] - Test: [ 0/7] Time: 0.884 (0.884) Loss: 2.0767 (2.0767) cLoss: 0.0000 (0.0000) Acc@1: 55.0000 (55.0000)Acc@5: 77.5000 (77.5000) + +2023-08-09 14:25:53,618 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.311) Loss: 1.8553 (1.6578) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (62.1839)Acc@5: 80.0000 (81.6092) + +2023-08-09 14:25:55,504 - train: [ INFO] - Train: 49 [ 0/65 ( 0%)] Loss: 0.065723 (0.0657) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.588s, 75.55/s LR: 5.489e-04 P_Replacement: 0.00435737037037037 + +2023-08-09 14:26:30,598 - train: [ INFO] - Train: 49 [ 50/65 ( 78%)] Loss: 0.079451 (0.0749) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.86/s LR: 5.489e-04 P_Replacement: 0.0045658224683490945 + +2023-08-09 14:26:40,427 - train: [ INFO] - Train: 49 [ 64/65 (100%)] Loss: 0.043005 (0.0740) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.72/s LR: 5.489e-04 P_Replacement: 0.004625357440145653 + +2023-08-09 14:26:41,515 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 1.0962 (1.0962) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 90.0000 (90.0000) + +2023-08-09 14:26:43,181 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.325) Loss: 1.7697 (1.3279) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (68.5057)Acc@5: 76.6667 (86.7816) + +2023-08-09 14:26:43,466 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-49.pth.tar', 68.50574901186187) + +2023-08-09 14:26:45,071 - train: [ INFO] - Train: 50 [ 0/65 ( 0%)] Loss: 0.052863 (0.0529) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.593s, 75.33/s LR: 5.474e-04 P_Replacement: 0.0046296296296296285 + +2023-08-09 14:27:20,258 - train: [ INFO] - Train: 50 [ 50/65 ( 78%)] Loss: 0.045215 (0.0735) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (99.9837) Time: 0.721s, 166.41/s LR: 5.474e-04 P_Replacement: 0.004846609012289486 + +2023-08-09 14:27:30,152 - train: [ INFO] - Train: 50 [ 64/65 (100%)] Loss: 0.071483 (0.0747) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (99.9872) Time: 0.718s, 167.13/s LR: 5.474e-04 P_Replacement: 0.004908555187241861 + +2023-08-09 14:27:31,170 - train: [ INFO] - Test: [ 0/7] Time: 0.896 (0.896) Loss: 1.5007 (1.5007) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:27:32,776 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.313) Loss: 1.0423 (1.4779) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (65.6322)Acc@5: 90.0000 (85.5172) + +2023-08-09 14:27:34,499 - train: [ INFO] - Train: 51 [ 0/65 ( 0%)] Loss: 0.100412 (0.1004) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.467s, 81.78/s LR: 5.458e-04 P_Replacement: 0.004913000000000001 + +2023-08-09 14:28:09,632 - train: [ INFO] - Train: 51 [ 50/65 ( 78%)] Loss: 0.054147 (0.0816) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.22/s LR: 5.458e-04 P_Replacement: 0.005138677607511927 + +2023-08-09 14:28:19,472 - train: [ INFO] - Train: 51 [ 64/65 (100%)] Loss: 0.089413 (0.0813) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.714s, 167.97/s LR: 5.458e-04 P_Replacement: 0.005203082848867986 + +2023-08-09 14:28:20,527 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 1.6898 (1.6898) cLoss: 0.0000 (0.0000) Acc@1: 57.5000 (57.5000)Acc@5: 80.8333 (80.8333) + +2023-08-09 14:28:22,180 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.322) Loss: 1.8064 (1.7113) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (61.2644)Acc@5: 76.6667 (81.7241) + +2023-08-09 14:28:24,016 - train: [ INFO] - Train: 52 [ 0/65 ( 0%)] Loss: 0.081934 (0.0819) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.591s, 75.45/s LR: 5.443e-04 P_Replacement: 0.005207703703703704 + +2023-08-09 14:28:59,319 - train: [ INFO] - Train: 52 [ 50/65 ( 78%)] Loss: 0.059639 (0.0728) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.89/s LR: 5.443e-04 P_Replacement: 0.0054422504762386414 + +2023-08-09 14:29:09,154 - train: [ INFO] - Train: 52 [ 64/65 (100%)] Loss: 0.049135 (0.0719) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.93/s LR: 5.443e-04 P_Replacement: 0.005509162647246245 + +2023-08-09 14:29:10,222 - train: [ INFO] - Test: [ 0/7] Time: 0.917 (0.917) Loss: 1.4934 (1.4934) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:29:11,858 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.319) Loss: 1.2532 (1.5540) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (64.1379)Acc@5: 83.3333 (84.1379) + +2023-08-09 14:29:13,742 - train: [ INFO] - Train: 53 [ 0/65 ( 0%)] Loss: 0.107784 (0.1078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.617s, 74.23/s LR: 5.427e-04 P_Replacement: 0.005513962962962963 + +2023-08-09 14:29:48,981 - train: [ INFO] - Train: 53 [ 50/65 ( 78%)] Loss: 0.063811 (0.0752) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.06/s LR: 5.427e-04 P_Replacement: 0.005757549840691852 + +2023-08-09 14:29:58,797 - train: [ INFO] - Train: 53 [ 64/65 (100%)] Loss: 0.054902 (0.0744) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.13/s LR: 5.427e-04 P_Replacement: 0.005827016804598863 + +2023-08-09 14:29:59,885 - train: [ INFO] - Test: [ 0/7] Time: 0.942 (0.942) Loss: 1.2945 (1.2945) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 82.5000 (82.5000) + +2023-08-09 14:30:01,583 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.330) Loss: 1.8969 (1.5087) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (65.7471)Acc@5: 76.6667 (84.2529) + +2023-08-09 14:30:03,431 - train: [ INFO] - Train: 54 [ 0/65 ( 0%)] Loss: 0.070688 (0.0707) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.581s, 75.91/s LR: 5.411e-04 P_Replacement: 0.0058319999999999995 + +2023-08-09 14:30:38,621 - train: [ INFO] - Train: 54 [ 50/65 ( 78%)] Loss: 0.059955 (0.0656) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.44/s LR: 5.411e-04 P_Replacement: 0.006084797923093782 + +2023-08-09 14:30:48,489 - train: [ INFO] - Train: 54 [ 64/65 (100%)] Loss: 0.099567 (0.0635) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.25/s LR: 5.411e-04 P_Replacement: 0.006156867543148063 + +2023-08-09 14:30:49,577 - train: [ INFO] - Test: [ 0/7] Time: 0.933 (0.933) Loss: 1.1156 (1.1156) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 88.3333 (88.3333) + +2023-08-09 14:30:51,216 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.322) Loss: 2.0827 (1.4501) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (63.7931)Acc@5: 70.0000 (85.0575) + +2023-08-09 14:30:53,046 - train: [ INFO] - Train: 55 [ 0/65 ( 0%)] Loss: 0.042269 (0.0423) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.557s, 77.07/s LR: 5.395e-04 P_Replacement: 0.006162037037037035 + +2023-08-09 14:31:28,194 - train: [ INFO] - Train: 55 [ 50/65 ( 78%)] Loss: 0.082712 (0.0685) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (99.9837) Time: 0.720s, 166.76/s LR: 5.395e-04 P_Replacement: 0.00642421694566665 + +2023-08-09 14:31:38,034 - train: [ INFO] - Train: 55 [ 64/65 (100%)] Loss: 0.047241 (0.0676) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (99.9872) Time: 0.716s, 167.60/s LR: 5.395e-04 P_Replacement: 0.0064989370851160685 + +2023-08-09 14:31:39,109 - train: [ INFO] - Test: [ 0/7] Time: 0.941 (0.941) Loss: 1.6903 (1.6903) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (60.0000)Acc@5: 80.8333 (80.8333) + +2023-08-09 14:31:40,737 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.321) Loss: 1.6631 (1.5820) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (63.9080)Acc@5: 76.6667 (82.7586) + +2023-08-09 14:31:42,596 - train: [ INFO] - Train: 56 [ 0/65 ( 0%)] Loss: 0.103225 (0.1032) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.602s, 74.89/s LR: 5.378e-04 P_Replacement: 0.006504296296296297 + +2023-08-09 14:32:17,902 - train: [ INFO] - Train: 56 [ 50/65 ( 78%)] Loss: 0.134463 (0.0798) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.82/s LR: 5.378e-04 P_Replacement: 0.006776029130632681 + +2023-08-09 14:32:27,770 - train: [ INFO] - Train: 56 [ 64/65 (100%)] Loss: 0.043963 (0.0761) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.76/s LR: 5.378e-04 P_Replacement: 0.006853447652725097 + +2023-08-09 14:32:28,823 - train: [ INFO] - Test: [ 0/7] Time: 0.905 (0.905) Loss: 1.4037 (1.4037) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:32:30,471 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.319) Loss: 1.2730 (1.4520) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (66.2069)Acc@5: 93.3333 (85.6322) + +2023-08-09 14:32:32,258 - train: [ INFO] - Train: 57 [ 0/65 ( 0%)] Loss: 0.089292 (0.0893) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.78/s LR: 5.361e-04 P_Replacement: 0.0068590000000000005 + +2023-08-09 14:33:07,550 - train: [ INFO] - Train: 57 [ 50/65 ( 78%)] Loss: 0.061405 (0.0807) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.33/s LR: 5.361e-04 P_Replacement: 0.007140456700214096 + +2023-08-09 14:33:17,403 - train: [ INFO] - Train: 57 [ 64/65 (100%)] Loss: 0.056459 (0.0781) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.22/s LR: 5.361e-04 P_Replacement: 0.007220621468197373 + +2023-08-09 14:33:18,536 - train: [ INFO] - Test: [ 0/7] Time: 0.962 (0.962) Loss: 1.8077 (1.8077) cLoss: 0.0000 (0.0000) Acc@1: 57.5000 (57.5000)Acc@5: 81.6667 (81.6667) + +2023-08-09 14:33:20,176 - train: [ INFO] - Test: [ 7/7] Time: 0.072 (0.325) Loss: 1.4893 (1.6560) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (61.0345)Acc@5: 83.3333 (83.2184) + +2023-08-09 14:33:22,066 - train: [ INFO] - Train: 58 [ 0/65 ( 0%)] Loss: 0.097534 (0.0975) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.582s, 75.85/s LR: 5.344e-04 P_Replacement: 0.00722637037037037 + +2023-08-09 14:33:57,293 - train: [ INFO] - Train: 58 [ 50/65 ( 78%)] Loss: 0.103487 (0.0738) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.27/s LR: 5.344e-04 P_Replacement: 0.0075177218766331174 + +2023-08-09 14:34:07,174 - train: [ INFO] - Train: 58 [ 64/65 (100%)] Loss: 0.051249 (0.0738) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.07/s LR: 5.344e-04 P_Replacement: 0.00760068075375512 + +2023-08-09 14:34:08,208 - train: [ INFO] - Test: [ 0/7] Time: 0.899 (0.899) Loss: 1.4782 (1.4782) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 81.6667 (81.6667) + +2023-08-09 14:34:09,848 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.317) Loss: 1.0786 (1.4383) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (66.0920)Acc@5: 93.3333 (84.8276) + +2023-08-09 14:34:11,691 - train: [ INFO] - Train: 59 [ 0/65 ( 0%)] Loss: 0.059337 (0.0593) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.553s, 77.28/s LR: 5.327e-04 P_Replacement: 0.007606629629629628 + +2023-08-09 14:34:46,890 - train: [ INFO] - Train: 59 [ 50/65 ( 78%)] Loss: 0.041806 (0.0671) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.53/s LR: 5.327e-04 P_Replacement: 0.007908046882111972 + +2023-08-09 14:34:56,697 - train: [ INFO] - Train: 59 [ 64/65 (100%)] Loss: 0.101771 (0.0705) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.54/s LR: 5.327e-04 P_Replacement: 0.007993847731620558 + +2023-08-09 14:34:57,756 - train: [ INFO] - Test: [ 0/7] Time: 0.909 (0.909) Loss: 1.7216 (1.7216) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 77.5000 (77.5000) + +2023-08-09 14:34:59,395 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.319) Loss: 1.3909 (1.6638) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (61.0345)Acc@5: 86.6667 (81.2644) + +2023-08-09 14:35:01,238 - train: [ INFO] - Train: 60 [ 0/65 ( 0%)] Loss: 0.071176 (0.0712) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.583s, 75.83/s LR: 5.309e-04 P_Replacement: 0.008000000000000002 + +2023-08-09 14:35:36,435 - train: [ INFO] - Train: 60 [ 50/65 ( 78%)] Loss: 0.078462 (0.0852) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (99.9837) Time: 0.721s, 166.42/s LR: 5.309e-04 P_Replacement: 0.008311653938872874 + +2023-08-09 14:35:46,234 - train: [ INFO] - Train: 60 [ 64/65 (100%)] Loss: 0.052922 (0.0860) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (99.9744) Time: 0.716s, 167.48/s LR: 5.309e-04 P_Replacement: 0.008400344624015914 + +2023-08-09 14:35:47,320 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 1.5370 (1.5370) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 82.5000 (82.5000) + +2023-08-09 14:35:48,944 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.320) Loss: 1.6643 (1.5625) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (63.5632)Acc@5: 83.3333 (83.1035) + +2023-08-09 14:35:50,784 - train: [ INFO] - Train: 61 [ 0/65 ( 0%)] Loss: 0.126552 (0.1266) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.584s, 75.74/s LR: 5.292e-04 P_Replacement: 0.008406703703703704 + +2023-08-09 14:36:26,028 - train: [ INFO] - Train: 61 [ 50/65 ( 78%)] Loss: 0.064738 (0.0938) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.19/s LR: 5.292e-04 P_Replacement: 0.00872876526913805 + +2023-08-09 14:36:35,890 - train: [ INFO] - Train: 61 [ 64/65 (100%)] Loss: 0.129749 (0.0954) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.07/s LR: 5.292e-04 P_Replacement: 0.008820393653163405 + +2023-08-09 14:36:36,998 - train: [ INFO] - Test: [ 0/7] Time: 0.957 (0.957) Loss: 1.3954 (1.3954) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 83.3333 (83.3333) + +2023-08-09 14:36:38,622 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.323) Loss: 2.3310 (1.5556) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (63.3333)Acc@5: 80.0000 (84.3678) + +2023-08-09 14:36:40,535 - train: [ INFO] - Train: 62 [ 0/65 ( 0%)] Loss: 0.102428 (0.1024) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.607s, 74.68/s LR: 5.273e-04 P_Replacement: 0.008826962962962964 + +2023-08-09 14:37:15,729 - train: [ INFO] - Train: 62 [ 50/65 ( 78%)] Loss: 0.107086 (0.0960) Acc@1: 99.1667 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.31/s LR: 5.273e-04 P_Replacement: 0.00915960309512972 + +2023-08-09 14:37:25,600 - train: [ INFO] - Train: 62 [ 64/65 (100%)] Loss: 0.067238 (0.0926) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.14/s LR: 5.273e-04 P_Replacement: 0.009254217041285253 + +2023-08-09 14:37:26,609 - train: [ INFO] - Test: [ 0/7] Time: 0.879 (0.879) Loss: 1.9115 (1.9115) cLoss: 0.0000 (0.0000) Acc@1: 59.1667 (59.1667)Acc@5: 80.0000 (80.0000) + +2023-08-09 14:37:28,243 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.314) Loss: 2.0267 (1.5482) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (64.0230)Acc@5: 76.6667 (82.6437) + +2023-08-09 14:37:30,096 - train: [ INFO] - Train: 63 [ 0/65 ( 0%)] Loss: 0.080916 (0.0809) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.580s, 75.94/s LR: 5.255e-04 P_Replacement: 0.009260999999999998 + +2023-08-09 14:38:05,249 - train: [ INFO] - Train: 63 [ 50/65 ( 78%)] Loss: 0.131488 (0.0980) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.62/s LR: 5.255e-04 P_Replacement: 0.009604389639070114 + +2023-08-09 14:38:15,029 - train: [ INFO] - Train: 63 [ 64/65 (100%)] Loss: 0.076201 (0.0989) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.71/s LR: 5.255e-04 P_Replacement: 0.009702037010603683 + +2023-08-09 14:38:16,065 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 1.8101 (1.8101) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 76.6667 (76.6667) + +2023-08-09 14:38:17,649 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.309) Loss: 1.6957 (1.6525) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (62.5287)Acc@5: 83.3333 (81.4943) + +2023-08-09 14:38:19,463 - train: [ INFO] - Train: 64 [ 0/65 ( 0%)] Loss: 0.056445 (0.0564) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.531s, 78.37/s LR: 5.236e-04 P_Replacement: 0.009709037037037039 + +2023-08-09 14:38:54,655 - train: [ INFO] - Train: 64 [ 50/65 ( 78%)] Loss: 0.093475 (0.0859) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.67/s LR: 5.236e-04 P_Replacement: 0.010063347123181443 + +2023-08-09 14:39:04,519 - train: [ INFO] - Train: 64 [ 64/65 (100%)] Loss: 0.063909 (0.0864) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.44/s LR: 5.236e-04 P_Replacement: 0.010164075783340921 + +2023-08-09 14:39:05,568 - train: [ INFO] - Test: [ 0/7] Time: 0.894 (0.894) Loss: 1.5405 (1.5405) cLoss: 0.0000 (0.0000) Acc@1: 65.8333 (65.8333)Acc@5: 84.1667 (84.1667) + +2023-08-09 14:39:07,173 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.312) Loss: 1.8089 (1.6690) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (61.2644)Acc@5: 80.0000 (81.3793) + +2023-08-09 14:39:08,967 - train: [ INFO] - Train: 65 [ 0/65 ( 0%)] Loss: 0.069448 (0.0694) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.494s, 80.32/s LR: 5.218e-04 P_Replacement: 0.010171296296296298 + +2023-08-09 14:39:44,151 - train: [ INFO] - Train: 65 [ 50/65 ( 78%)] Loss: 0.116713 (0.0855) Acc@1: 100.0000 (99.6895) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.87/s LR: 5.218e-04 P_Replacement: 0.010536697769685936 + +2023-08-09 14:39:54,019 - train: [ INFO] - Train: 65 [ 64/65 (100%)] Loss: 0.101835 (0.0872) Acc@1: 99.1667 (99.7180) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.59/s LR: 5.218e-04 P_Replacement: 0.01064055558171918 + +2023-08-09 14:39:55,079 - train: [ INFO] - Test: [ 0/7] Time: 0.912 (0.912) Loss: 1.6017 (1.6017) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:39:56,793 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.328) Loss: 1.4637 (1.6492) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (62.0690)Acc@5: 86.6667 (81.9540) + +2023-08-09 14:39:58,571 - train: [ INFO] - Train: 66 [ 0/65 ( 0%)] Loss: 0.099070 (0.0991) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.468s, 81.76/s LR: 5.199e-04 P_Replacement: 0.010648 + +2023-08-09 14:40:33,753 - train: [ INFO] - Train: 66 [ 50/65 ( 78%)] Loss: 0.054832 (0.0851) Acc@1: 100.0000 (99.8366) Acc@5: 100.0000 (99.9837) Time: 0.719s, 167.00/s LR: 5.199e-04 P_Replacement: 0.011024663800805811 + +2023-08-09 14:40:43,575 - train: [ INFO] - Train: 66 [ 64/65 (100%)] Loss: 0.048257 (0.0832) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (99.9872) Time: 0.715s, 167.85/s LR: 5.199e-04 P_Replacement: 0.011131698627960688 + +2023-08-09 14:40:44,622 - train: [ INFO] - Test: [ 0/7] Time: 0.907 (0.907) Loss: 1.3205 (1.3205) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:40:46,212 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.312) Loss: 0.7723 (1.4703) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (65.1724)Acc@5: 90.0000 (84.0230) + +2023-08-09 14:40:48,031 - train: [ INFO] - Train: 67 [ 0/65 ( 0%)] Loss: 0.062173 (0.0622) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.551s, 77.36/s LR: 5.179e-04 P_Replacement: 0.011139370370370369 + +2023-08-09 14:41:23,065 - train: [ INFO] - Train: 67 [ 50/65 ( 78%)] Loss: 0.067699 (0.0723) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.29/s LR: 5.179e-04 P_Replacement: 0.0115274674387633 + +2023-08-09 14:41:32,929 - train: [ INFO] - Train: 67 [ 64/65 (100%)] Loss: 0.047655 (0.0711) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.94/s LR: 5.179e-04 P_Replacement: 0.011637727144287664 + +2023-08-09 14:41:33,995 - train: [ INFO] - Test: [ 0/7] Time: 0.945 (0.945) Loss: 1.8687 (1.8687) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 79.1667 (79.1667) + +2023-08-09 14:41:35,647 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.325) Loss: 1.5549 (1.7445) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (60.9195)Acc@5: 90.0000 (81.3793) + +2023-08-09 14:41:37,535 - train: [ INFO] - Train: 68 [ 0/65 ( 0%)] Loss: 0.054293 (0.0543) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.589s, 75.54/s LR: 5.160e-04 P_Replacement: 0.011645629629629627 + +2023-08-09 14:42:12,681 - train: [ INFO] - Train: 68 [ 50/65 ( 78%)] Loss: 0.089373 (0.0661) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.61/s LR: 5.160e-04 P_Replacement: 0.012045330905780612 + +2023-08-09 14:42:22,580 - train: [ INFO] - Train: 68 [ 64/65 (100%)] Loss: 0.060905 (0.0647) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.27/s LR: 5.160e-04 P_Replacement: 0.012158863352922338 + +2023-08-09 14:42:23,616 - train: [ INFO] - Test: [ 0/7] Time: 0.878 (0.878) Loss: 1.5663 (1.5663) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:42:25,234 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.312) Loss: 1.3461 (1.4110) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (66.5517)Acc@5: 83.3333 (85.7471) + +2023-08-09 14:42:26,992 - train: [ INFO] - Train: 69 [ 0/65 ( 0%)] Loss: 0.040504 (0.0405) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.477s, 81.22/s LR: 5.140e-04 P_Replacement: 0.012167 + +2023-08-09 14:43:02,226 - train: [ INFO] - Train: 69 [ 50/65 ( 78%)] Loss: 0.051176 (0.0683) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.71/s LR: 5.140e-04 P_Replacement: 0.012578476424079974 + +2023-08-09 14:43:12,067 - train: [ INFO] - Train: 69 [ 64/65 (100%)] Loss: 0.063762 (0.0684) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.56/s LR: 5.140e-04 P_Replacement: 0.012695329476086922 + +2023-08-09 14:43:13,102 - train: [ INFO] - Test: [ 0/7] Time: 0.890 (0.890) Loss: 1.6340 (1.6340) cLoss: 0.0000 (0.0000) Acc@1: 62.5000 (62.5000)Acc@5: 83.3333 (83.3333) + +2023-08-09 14:43:14,754 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.318) Loss: 1.0584 (1.6068) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (63.9080)Acc@5: 93.3333 (82.9885) + +2023-08-09 14:43:16,523 - train: [ INFO] - Train: 70 [ 0/65 ( 0%)] Loss: 0.056465 (0.0565) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.502s, 79.89/s LR: 5.120e-04 P_Replacement: 0.012703703703703705 + +2023-08-09 14:43:51,643 - train: [ INFO] - Train: 70 [ 50/65 ( 78%)] Loss: 0.054318 (0.0743) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.12/s LR: 5.120e-04 P_Replacement: 0.01312712621588361 + +2023-08-09 14:44:01,518 - train: [ INFO] - Train: 70 [ 64/65 (100%)] Loss: 0.088312 (0.0765) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.76/s LR: 5.120e-04 P_Replacement: 0.013247347736003641 + +2023-08-09 14:44:02,541 - train: [ INFO] - Test: [ 0/7] Time: 0.880 (0.880) Loss: 1.2516 (1.2516) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 88.3333 (88.3333) + +2023-08-09 14:44:04,183 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.315) Loss: 1.3391 (1.3118) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (69.1954)Acc@5: 90.0000 (85.7471) + +2023-08-09 14:44:04,492 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-70.pth.tar', 69.19540589431236) + +2023-08-09 14:44:06,027 - train: [ INFO] - Train: 71 [ 0/65 ( 0%)] Loss: 0.229723 (0.2297) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.516s, 79.16/s LR: 5.099e-04 P_Replacement: 0.013255962962962962 + +2023-08-09 14:44:41,163 - train: [ INFO] - Train: 71 [ 50/65 ( 78%)] Loss: 0.096768 (0.0825) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.98/s LR: 5.099e-04 P_Replacement: 0.013691502503413744 + +2023-08-09 14:44:51,044 - train: [ INFO] - Train: 71 [ 64/65 (100%)] Loss: 0.040469 (0.0799) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.63/s LR: 5.099e-04 P_Replacement: 0.013815140354894721 + +2023-08-09 14:44:52,107 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 1.8161 (1.8161) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 79.1667 (79.1667) + +2023-08-09 14:44:53,650 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.306) Loss: 0.6835 (1.5398) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (63.6782)Acc@5: 90.0000 (84.0230) + +2023-08-09 14:44:55,497 - train: [ INFO] - Train: 72 [ 0/65 ( 0%)] Loss: 0.068051 (0.0681) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.602s, 74.90/s LR: 5.079e-04 P_Replacement: 0.013823999999999998 + +2023-08-09 14:45:30,577 - train: [ INFO] - Train: 72 [ 50/65 ( 78%)] Loss: 0.034955 (0.0713) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.85/s LR: 5.079e-04 P_Replacement: 0.014271827508892599 + +2023-08-09 14:45:40,422 - train: [ INFO] - Train: 72 [ 64/65 (100%)] Loss: 0.054715 (0.0683) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.66/s LR: 5.079e-04 P_Replacement: 0.01439892955498238 + +2023-08-09 14:45:41,510 - train: [ INFO] - Test: [ 0/7] Time: 0.959 (0.959) Loss: 1.9143 (1.9143) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (56.6667)Acc@5: 80.0000 (80.0000) + +2023-08-09 14:45:43,112 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.320) Loss: 0.5889 (1.4102) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (68.3908)Acc@5: 93.3333 (84.2529) + +2023-08-09 14:45:45,003 - train: [ INFO] - Train: 73 [ 0/65 ( 0%)] Loss: 0.080047 (0.0800) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.587s, 75.60/s LR: 5.058e-04 P_Replacement: 0.014408037037037039 + +2023-08-09 14:46:20,207 - train: [ INFO] - Train: 73 [ 50/65 ( 78%)] Loss: 0.080942 (0.0616) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.35/s LR: 5.058e-04 P_Replacement: 0.01486832345454239 + +2023-08-09 14:46:30,068 - train: [ INFO] - Train: 73 [ 64/65 (100%)] Loss: 0.055405 (0.0644) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.21/s LR: 5.058e-04 P_Replacement: 0.014998937558488851 + +2023-08-09 14:46:31,190 - train: [ INFO] - Test: [ 0/7] Time: 0.958 (0.958) Loss: 1.2724 (1.2724) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 86.6667 (86.6667) + +2023-08-09 14:46:32,855 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.328) Loss: 1.6332 (1.4532) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (66.5517)Acc@5: 76.6667 (84.7127) + +2023-08-09 14:46:34,783 - train: [ INFO] - Train: 74 [ 0/65 ( 0%)] Loss: 0.117147 (0.1171) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.611s, 74.47/s LR: 5.037e-04 P_Replacement: 0.015008296296296297 + +2023-08-09 14:47:09,854 - train: [ INFO] - Train: 74 [ 50/65 ( 78%)] Loss: 0.040636 (0.0725) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.85/s LR: 5.037e-04 P_Replacement: 0.015481212562585342 + +2023-08-09 14:47:19,679 - train: [ INFO] - Train: 74 [ 64/65 (100%)] Loss: 0.038957 (0.0732) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.73/s LR: 5.037e-04 P_Replacement: 0.015615386587636339 + +2023-08-09 14:47:20,756 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 1.7667 (1.7667) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 81.6667 (81.6667) + +2023-08-09 14:47:22,322 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.312) Loss: 1.3496 (1.4011) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (65.7471)Acc@5: 80.0000 (85.6322) + +2023-08-09 14:47:24,278 - train: [ INFO] - Train: 75 [ 0/65 ( 0%)] Loss: 0.064383 (0.0644) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.654s, 72.55/s LR: 5.016e-04 P_Replacement: 0.015625 + +2023-08-09 14:47:59,299 - train: [ INFO] - Train: 75 [ 50/65 ( 78%)] Loss: 0.037901 (0.0728) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.88/s LR: 5.016e-04 P_Replacement: 0.01611071705524368 + +2023-08-09 14:48:09,118 - train: [ INFO] - Train: 75 [ 64/65 (100%)] Loss: 0.056907 (0.0708) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.77/s LR: 5.016e-04 P_Replacement: 0.016248498864647076 + +2023-08-09 14:48:10,165 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 1.3294 (1.3294) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:48:11,756 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.314) Loss: 1.7119 (1.5496) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (64.9425)Acc@5: 80.0000 (82.9885) + +2023-08-09 14:48:13,586 - train: [ INFO] - Train: 76 [ 0/65 ( 0%)] Loss: 0.045642 (0.0456) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.539s, 77.96/s LR: 4.994e-04 P_Replacement: 0.016258370370370374 + +2023-08-09 14:48:48,701 - train: [ INFO] - Train: 76 [ 50/65 ( 78%)] Loss: 0.061359 (0.0711) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.98/s LR: 4.994e-04 P_Replacement: 0.016757059154739632 + +2023-08-09 14:48:58,607 - train: [ INFO] - Train: 76 [ 64/65 (100%)] Loss: 0.084265 (0.0700) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.54/s LR: 4.994e-04 P_Replacement: 0.01689849661174329 + +2023-08-09 14:48:59,645 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 1.1895 (1.1895) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 87.5000 (87.5000) + +2023-08-09 14:49:01,281 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.320) Loss: 1.3855 (1.3721) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (68.7356)Acc@5: 86.6667 (85.7471) + +2023-08-09 14:49:03,154 - train: [ INFO] - Train: 77 [ 0/65 ( 0%)] Loss: 0.039388 (0.0394) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.596s, 75.17/s LR: 4.973e-04 P_Replacement: 0.016908629629629628 + +2023-08-09 14:49:38,259 - train: [ INFO] - Train: 77 [ 50/65 ( 78%)] Loss: 0.047637 (0.0865) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.76/s LR: 4.973e-04 P_Replacement: 0.0174204610832954 + +2023-08-09 14:49:48,040 - train: [ INFO] - Train: 77 [ 64/65 (100%)] Loss: 0.138892 (0.0861) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.82/s LR: 4.973e-04 P_Replacement: 0.017565602051147183 + +2023-08-09 14:49:49,083 - train: [ INFO] - Test: [ 0/7] Time: 0.910 (0.910) Loss: 1.4228 (1.4228) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:49:50,773 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.325) Loss: 1.4663 (1.3638) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (67.5862)Acc@5: 80.0000 (85.1724) + +2023-08-09 14:49:52,595 - train: [ INFO] - Train: 78 [ 0/65 ( 0%)] Loss: 0.091181 (0.0912) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.545s, 77.69/s LR: 4.951e-04 P_Replacement: 0.017576 + +2023-08-09 14:50:27,658 - train: [ INFO] - Train: 78 [ 50/65 ( 78%)] Loss: 0.089908 (0.0786) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.19/s LR: 4.951e-04 P_Replacement: 0.01810114506313323 + +2023-08-09 14:50:37,477 - train: [ INFO] - Train: 78 [ 64/65 (100%)] Loss: 0.070146 (0.0760) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.714s, 168.02/s LR: 4.951e-04 P_Replacement: 0.018250037405081004 + +2023-08-09 14:50:38,525 - train: [ INFO] - Test: [ 0/7] Time: 0.928 (0.928) Loss: 1.3388 (1.3388) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 84.1667 (84.1667) + +2023-08-09 14:50:40,161 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.320) Loss: 1.4841 (1.4483) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (67.8161)Acc@5: 86.6667 (83.9081) + +2023-08-09 14:50:42,062 - train: [ INFO] - Train: 79 [ 0/65 ( 0%)] Loss: 0.072141 (0.0721) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.625s, 73.86/s LR: 4.929e-04 P_Replacement: 0.0182607037037037 + +2023-08-09 14:51:17,072 - train: [ INFO] - Train: 79 [ 50/65 ( 78%)] Loss: 0.054322 (0.0688) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.06/s LR: 4.929e-04 P_Replacement: 0.018799333316475333 + +2023-08-09 14:51:26,930 - train: [ INFO] - Train: 79 [ 64/65 (100%)] Loss: 0.053891 (0.0662) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.78/s LR: 4.929e-04 P_Replacement: 0.018952024895766962 + +2023-08-09 14:51:27,963 - train: [ INFO] - Test: [ 0/7] Time: 0.896 (0.896) Loss: 1.6356 (1.6356) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 82.5000 (82.5000) + +2023-08-09 14:51:29,547 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.310) Loss: 1.4118 (1.4824) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (67.1264)Acc@5: 86.6667 (84.5977) + +2023-08-09 14:51:31,255 - train: [ INFO] - Train: 80 [ 0/65 ( 0%)] Loss: 0.044031 (0.0440) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.459s, 82.24/s LR: 4.907e-04 P_Replacement: 0.018962962962962963 + +2023-08-09 14:52:06,346 - train: [ INFO] - Train: 80 [ 50/65 ( 78%)] Loss: 0.072560 (0.0769) Acc@1: 100.0000 (99.8203) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.45/s LR: 4.907e-04 P_Replacement: 0.01951524806554392 + +2023-08-09 14:52:16,087 - train: [ INFO] - Train: 80 [ 64/65 (100%)] Loss: 0.043622 (0.0750) Acc@1: 100.0000 (99.8462) Acc@5: 100.0000 (100.0000) Time: 0.712s, 168.51/s LR: 4.907e-04 P_Replacement: 0.019671786745427265 + +2023-08-09 14:52:17,179 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 1.2328 (1.2328) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:52:18,875 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.329) Loss: 1.2528 (1.3536) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (69.4253)Acc@5: 80.0000 (85.2874) + +2023-08-09 14:52:19,141 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-80.pth.tar', 69.4252903379243) + +2023-08-09 14:52:20,774 - train: [ INFO] - Train: 81 [ 0/65 ( 0%)] Loss: 0.093147 (0.0931) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.613s, 74.38/s LR: 4.884e-04 P_Replacement: 0.019683000000000003 + +2023-08-09 14:52:55,983 - train: [ INFO] - Train: 81 [ 50/65 ( 78%)] Loss: 0.147441 (0.0768) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.21/s LR: 4.884e-04 P_Replacement: 0.02024911153256124 + +2023-08-09 14:53:05,783 - train: [ INFO] - Train: 81 [ 64/65 (100%)] Loss: 0.076729 (0.0774) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.31/s LR: 4.884e-04 P_Replacement: 0.020409545176284162 + +2023-08-09 14:53:06,867 - train: [ INFO] - Test: [ 0/7] Time: 0.938 (0.938) Loss: 1.1168 (1.1168) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-09 14:53:08,554 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.328) Loss: 1.6238 (1.3465) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (69.5402)Acc@5: 90.0000 (84.9425) + +2023-08-09 14:53:08,799 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-81.pth.tar', 69.54023426976697) + +2023-08-09 14:53:10,401 - train: [ INFO] - Train: 82 [ 0/65 ( 0%)] Loss: 0.059104 (0.0591) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.589s, 75.54/s LR: 4.861e-04 P_Replacement: 0.020421037037037033 + +2023-08-09 14:53:45,579 - train: [ INFO] - Train: 82 [ 50/65 ( 78%)] Loss: 0.049045 (0.0759) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.47/s LR: 4.861e-04 P_Replacement: 0.021001145939749485 + +2023-08-09 14:53:55,512 - train: [ INFO] - Train: 82 [ 64/65 (100%)] Loss: 0.035482 (0.0724) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.04/s LR: 4.861e-04 P_Replacement: 0.02116552241055985 + +2023-08-09 14:53:56,592 - train: [ INFO] - Test: [ 0/7] Time: 0.893 (0.893) Loss: 1.2952 (1.2952) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 84.1667 (84.1667) + +2023-08-09 14:53:58,233 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.317) Loss: 0.8563 (1.2938) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (70.3448)Acc@5: 93.3333 (86.0920) + +2023-08-09 14:53:58,505 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-82.pth.tar', 70.34483126936287) + +2023-08-09 14:54:00,006 - train: [ INFO] - Train: 83 [ 0/65 ( 0%)] Loss: 0.041646 (0.0416) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.481s, 81.00/s LR: 4.838e-04 P_Replacement: 0.021177296296296298 + +2023-08-09 14:54:35,191 - train: [ INFO] - Train: 83 [ 50/65 ( 78%)] Loss: 0.056739 (0.0709) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.92/s LR: 4.838e-04 P_Replacement: 0.021771573509330906 + +2023-08-09 14:54:44,988 - train: [ INFO] - Train: 83 [ 64/65 (100%)] Loss: 0.079367 (0.0690) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.88/s LR: 4.838e-04 P_Replacement: 0.021939940670476575 + +2023-08-09 14:54:46,038 - train: [ INFO] - Test: [ 0/7] Time: 0.918 (0.918) Loss: 1.3561 (1.3561) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 89.1667 (89.1667) + +2023-08-09 14:54:47,642 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.315) Loss: 2.0835 (1.4150) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (67.0115)Acc@5: 83.3333 (85.4023) + +2023-08-09 14:54:49,413 - train: [ INFO] - Train: 84 [ 0/65 ( 0%)] Loss: 0.068461 (0.0685) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.489s, 80.58/s LR: 4.815e-04 P_Replacement: 0.021952000000000006 + +2023-08-09 14:55:24,584 - train: [ INFO] - Train: 84 [ 50/65 ( 78%)] Loss: 0.046845 (0.0713) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.95/s LR: 4.815e-04 P_Replacement: 0.02256061646352771 + +2023-08-09 14:55:34,425 - train: [ INFO] - Train: 84 [ 64/65 (100%)] Loss: 0.109702 (0.0754) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.75/s LR: 4.815e-04 P_Replacement: 0.02273302217825655 + +2023-08-09 14:55:35,510 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 1.8019 (1.8019) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 80.0000 (80.0000) + +2023-08-09 14:55:37,163 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.324) Loss: 0.6200 (1.4947) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (65.8621)Acc@5: 96.6667 (83.9081) + +2023-08-09 14:55:39,033 - train: [ INFO] - Train: 85 [ 0/65 ( 0%)] Loss: 0.085404 (0.0854) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.570s, 76.43/s LR: 4.792e-04 P_Replacement: 0.022745370370370367 + +2023-08-09 14:56:14,111 - train: [ INFO] - Train: 85 [ 50/65 ( 78%)] Loss: 0.091539 (0.0793) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.719s, 167.01/s LR: 4.792e-04 P_Replacement: 0.023368497024562108 + +2023-08-09 14:56:23,929 - train: [ INFO] - Train: 85 [ 64/65 (100%)] Loss: 0.047765 (0.0761) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.88/s LR: 4.792e-04 P_Replacement: 0.023544989156121982 + +2023-08-09 14:56:24,965 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 1.5667 (1.5667) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:56:26,582 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.316) Loss: 0.8278 (1.2814) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (70.6897)Acc@5: 93.3333 (86.4368) + +2023-08-09 14:56:26,874 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-85.pth.tar', 70.68965806632207) + +2023-08-09 14:56:28,482 - train: [ INFO] - Train: 86 [ 0/65 ( 0%)] Loss: 0.038686 (0.0387) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.589s, 75.54/s LR: 4.768e-04 P_Replacement: 0.023557629629629633 + +2023-08-09 14:57:03,619 - train: [ INFO] - Train: 86 [ 50/65 ( 78%)] Loss: 0.054775 (0.0811) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.67/s LR: 4.768e-04 P_Replacement: 0.02419543741465635 + +2023-08-09 14:57:13,446 - train: [ INFO] - Train: 86 [ 64/65 (100%)] Loss: 0.068993 (0.0782) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.58/s LR: 4.768e-04 P_Replacement: 0.02437606382629512 + +2023-08-09 14:57:14,522 - train: [ INFO] - Test: [ 0/7] Time: 0.929 (0.929) Loss: 1.0650 (1.0650) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.8333 (90.8333) + +2023-08-09 14:57:16,121 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.316) Loss: 1.0489 (1.3599) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (69.5402)Acc@5: 83.3333 (84.5977) + +2023-08-09 14:57:17,929 - train: [ INFO] - Train: 87 [ 0/65 ( 0%)] Loss: 0.075613 (0.0756) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.567s, 76.60/s LR: 4.745e-04 P_Replacement: 0.024388999999999994 + +2023-08-09 14:57:52,912 - train: [ INFO] - Train: 87 [ 50/65 ( 78%)] Loss: 0.091901 (0.0677) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.46/s LR: 4.745e-04 P_Replacement: 0.025041659856032645 + +2023-08-09 14:58:02,832 - train: [ INFO] - Train: 87 [ 64/65 (100%)] Loss: 0.072112 (0.0669) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.87/s LR: 4.745e-04 P_Replacement: 0.025226468410998158 + +2023-08-09 14:58:03,860 - train: [ INFO] - Test: [ 0/7] Time: 0.886 (0.886) Loss: 1.2485 (1.2485) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:58:05,457 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.310) Loss: 1.7399 (1.3210) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (71.0345)Acc@5: 76.6667 (84.9425) + +2023-08-09 14:58:05,738 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-87.pth.tar', 71.0344852579051) + +2023-08-09 14:58:07,285 - train: [ INFO] - Train: 88 [ 0/65 ( 0%)] Loss: 0.083013 (0.0830) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.529s, 78.48/s LR: 4.721e-04 P_Replacement: 0.025239703703703705 + +2023-08-09 14:58:42,440 - train: [ INFO] - Train: 88 [ 50/65 ( 78%)] Loss: 0.038028 (0.0715) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (99.9837) Time: 0.719s, 166.84/s LR: 4.721e-04 P_Replacement: 0.025907386570913196 + +2023-08-09 14:58:52,268 - train: [ INFO] - Train: 88 [ 64/65 (100%)] Loss: 0.043486 (0.0683) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (99.9872) Time: 0.716s, 167.71/s LR: 4.721e-04 P_Replacement: 0.026096425132453346 + +2023-08-09 14:58:53,346 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 1.2638 (1.2638) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:58:54,968 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.319) Loss: 0.9151 (1.3884) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (68.6207)Acc@5: 93.3333 (84.1379) + +2023-08-09 14:58:56,799 - train: [ INFO] - Train: 89 [ 0/65 ( 0%)] Loss: 0.051030 (0.0510) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.593s, 75.34/s LR: 4.697e-04 P_Replacement: 0.02610996296296297 + +2023-08-09 14:59:31,857 - train: [ INFO] - Train: 89 [ 50/65 ( 78%)] Loss: 0.044268 (0.0681) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.99/s LR: 4.697e-04 P_Replacement: 0.026792839781520257 + +2023-08-09 14:59:41,709 - train: [ INFO] - Train: 89 [ 64/65 (100%)] Loss: 0.058755 (0.0644) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.74/s LR: 4.697e-04 P_Replacement: 0.026986156212882893 + +2023-08-09 14:59:42,803 - train: [ INFO] - Test: [ 0/7] Time: 0.935 (0.935) Loss: 1.3206 (1.3206) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:59:44,428 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.320) Loss: 1.9968 (1.3247) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (68.9655)Acc@5: 80.0000 (84.7126) + +2023-08-09 14:59:46,276 - train: [ INFO] - Train: 90 [ 0/65 ( 0%)] Loss: 0.059547 (0.0595) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.558s, 77.04/s LR: 4.672e-04 P_Replacement: 0.026999999999999996 + +2023-08-09 15:00:21,438 - train: [ INFO] - Train: 90 [ 50/65 ( 78%)] Loss: 0.056913 (0.0734) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.68/s LR: 4.672e-04 P_Replacement: 0.027698241710076024 + +2023-08-09 15:00:31,257 - train: [ INFO] - Train: 90 [ 64/65 (100%)] Loss: 0.121250 (0.0762) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.62/s LR: 4.672e-04 P_Replacement: 0.027895883874509007 + +2023-08-09 15:00:32,346 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 1.6485 (1.6485) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 75.0000 (75.0000) + +2023-08-09 15:00:34,010 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.325) Loss: 1.2236 (1.2469) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.6897)Acc@5: 83.3333 (85.5172) + +2023-08-09 15:00:35,863 - train: [ INFO] - Train: 91 [ 0/65 ( 0%)] Loss: 0.038265 (0.0383) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.597s, 75.15/s LR: 4.648e-04 P_Replacement: 0.02791003703703704 + +2023-08-09 15:01:10,933 - train: [ INFO] - Train: 91 [ 50/65 ( 78%)] Loss: 0.051602 (0.0690) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.92/s LR: 4.648e-04 P_Replacement: 0.028623814578802746 + +2023-08-09 15:01:20,786 - train: [ INFO] - Train: 91 [ 64/65 (100%)] Loss: 0.043317 (0.0709) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.68/s LR: 4.648e-04 P_Replacement: 0.02882583033955394 + +2023-08-09 15:01:21,847 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 1.1499 (1.1499) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:01:23,500 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.321) Loss: 1.4599 (1.3578) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (68.5057)Acc@5: 86.6667 (85.7471) + +2023-08-09 15:01:25,395 - train: [ INFO] - Train: 92 [ 0/65 ( 0%)] Loss: 0.065665 (0.0657) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.597s, 75.15/s LR: 4.623e-04 P_Replacement: 0.02884029629629629 + +2023-08-09 15:02:00,530 - train: [ INFO] - Train: 92 [ 50/65 ( 78%)] Loss: 0.105761 (0.0587) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.62/s LR: 4.623e-04 P_Replacement: 0.029569780609922627 + +2023-08-09 15:02:10,407 - train: [ INFO] - Train: 92 [ 64/65 (100%)] Loss: 0.049073 (0.0592) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.36/s LR: 4.623e-04 P_Replacement: 0.02977621783023988 + +2023-08-09 15:02:11,427 - train: [ INFO] - Test: [ 0/7] Time: 0.880 (0.880) Loss: 1.2468 (1.2468) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 86.6667 (86.6667) + +2023-08-09 15:02:13,010 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.308) Loss: 1.4950 (1.2271) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (70.0000)Acc@5: 86.6667 (87.4713) + +2023-08-09 15:02:14,788 - train: [ INFO] - Train: 93 [ 0/65 ( 0%)] Loss: 0.044355 (0.0444) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.492s, 80.43/s LR: 4.598e-04 P_Replacement: 0.029790999999999998 + +2023-08-09 15:02:49,840 - train: [ INFO] - Train: 93 [ 50/65 ( 78%)] Loss: 0.043867 (0.0631) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.48/s LR: 4.598e-04 P_Replacement: 0.03053636202565788 + +2023-08-09 15:02:59,679 - train: [ INFO] - Train: 93 [ 64/65 (100%)] Loss: 0.074160 (0.0654) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.714s, 168.17/s LR: 4.598e-04 P_Replacement: 0.030747268568789086 + +2023-08-09 15:03:00,751 - train: [ INFO] - Test: [ 0/7] Time: 0.920 (0.920) Loss: 0.9165 (0.9165) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 89.1667 (89.1667) + +2023-08-09 15:03:02,426 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.324) Loss: 1.2602 (1.3150) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (68.6207)Acc@5: 90.0000 (85.0575) + +2023-08-09 15:03:04,297 - train: [ INFO] - Train: 94 [ 0/65 ( 0%)] Loss: 0.062113 (0.0621) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.591s, 75.44/s LR: 4.573e-04 P_Replacement: 0.030762370370370377 + +2023-08-09 15:03:39,427 - train: [ INFO] - Train: 94 [ 50/65 ( 78%)] Loss: 0.043303 (0.0592) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.67/s LR: 4.573e-04 P_Replacement: 0.03152378104823075 + +2023-08-09 15:03:49,274 - train: [ INFO] - Train: 94 [ 64/65 (100%)] Loss: 0.052067 (0.0598) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.51/s LR: 4.573e-04 P_Replacement: 0.031739204777423764 + +2023-08-09 15:03:50,351 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 1.5629 (1.5629) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 86.6667 (86.6667) + +2023-08-09 15:03:51,983 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.322) Loss: 0.7974 (1.4032) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (67.9310)Acc@5: 96.6667 (87.4713) + +2023-08-09 15:03:53,868 - train: [ INFO] - Train: 95 [ 0/65 ( 0%)] Loss: 0.074075 (0.0741) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.589s, 75.54/s LR: 4.548e-04 P_Replacement: 0.031754629629629626 + +2023-08-09 15:04:28,950 - train: [ INFO] - Train: 95 [ 50/65 ( 78%)] Loss: 0.062655 (0.0669) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.90/s LR: 4.548e-04 P_Replacement: 0.03253225989986344 + +2023-08-09 15:04:38,846 - train: [ INFO] - Train: 95 [ 64/65 (100%)] Loss: 0.045252 (0.0646) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.51/s LR: 4.548e-04 P_Replacement: 0.03275224867836612 + +2023-08-09 15:04:39,929 - train: [ INFO] - Test: [ 0/7] Time: 0.895 (0.895) Loss: 1.7715 (1.7715) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 80.8333 (80.8333) + +2023-08-09 15:04:41,636 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.325) Loss: 1.5397 (1.6025) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (65.5172)Acc@5: 86.6667 (84.0230) + +2023-08-09 15:04:43,481 - train: [ INFO] - Train: 96 [ 0/65 ( 0%)] Loss: 0.046630 (0.0466) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.542s, 77.81/s LR: 4.523e-04 P_Replacement: 0.032768000000000005 + +2023-08-09 15:05:18,579 - train: [ INFO] - Train: 96 [ 50/65 ( 78%)] Loss: 0.047369 (0.0654) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (99.9837) Time: 0.718s, 167.04/s LR: 4.523e-04 P_Replacement: 0.033562020802778196 + +2023-08-09 15:05:28,383 - train: [ INFO] - Train: 96 [ 64/65 (100%)] Loss: 0.073122 (0.0707) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (99.9744) Time: 0.714s, 167.96/s LR: 4.523e-04 P_Replacement: 0.0337866224938384 + +2023-08-09 15:05:29,473 - train: [ INFO] - Test: [ 0/7] Time: 0.955 (0.955) Loss: 1.2313 (1.2313) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:05:31,120 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.325) Loss: 1.2244 (1.4852) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (66.3218)Acc@5: 93.3333 (84.1379) + +2023-08-09 15:05:32,960 - train: [ INFO] - Train: 97 [ 0/65 ( 0%)] Loss: 0.077617 (0.0776) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.572s, 76.33/s LR: 4.497e-04 P_Replacement: 0.033802703703703696 + +2023-08-09 15:06:08,072 - train: [ INFO] - Train: 97 [ 50/65 ( 78%)] Loss: 0.084799 (0.0780) Acc@1: 99.1667 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.84/s LR: 4.497e-04 P_Replacement: 0.03461328597919723 + +2023-08-09 15:06:17,876 - train: [ INFO] - Train: 97 [ 64/65 (100%)] Loss: 0.034851 (0.0715) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.80/s LR: 4.497e-04 P_Replacement: 0.03484254844606282 + +2023-08-09 15:06:18,914 - train: [ INFO] - Test: [ 0/7] Time: 0.893 (0.893) Loss: 1.2244 (1.2244) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 85.0000 (85.0000) + +2023-08-09 15:06:20,485 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.308) Loss: 1.6289 (1.3072) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (69.5402)Acc@5: 80.0000 (86.4368) + +2023-08-09 15:06:22,305 - train: [ INFO] - Train: 98 [ 0/65 ( 0%)] Loss: 0.102040 (0.1020) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.514s, 79.24/s LR: 4.471e-04 P_Replacement: 0.03485896296296296 + +2023-08-09 15:06:57,367 - train: [ INFO] - Train: 98 [ 50/65 ( 78%)] Loss: 0.106132 (0.0630) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.33/s LR: 4.471e-04 P_Replacement: 0.03568627765134273 + +2023-08-09 15:07:07,232 - train: [ INFO] - Train: 98 [ 64/65 (100%)] Loss: 0.052488 (0.0635) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.714s, 167.96/s LR: 4.471e-04 P_Replacement: 0.03592024875726158 + +2023-08-09 15:07:08,267 - train: [ INFO] - Test: [ 0/7] Time: 0.912 (0.912) Loss: 0.9408 (0.9408) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:07:09,955 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.325) Loss: 0.9973 (1.2034) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (72.1839)Acc@5: 86.6667 (87.4713) + +2023-08-09 15:07:10,242 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-98.pth.tar', 72.18391129066204) + +2023-08-09 15:07:11,873 - train: [ INFO] - Train: 99 [ 0/65 ( 0%)] Loss: 0.059154 (0.0592) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.611s, 74.47/s LR: 4.446e-04 P_Replacement: 0.035937000000000004 + +2023-08-09 15:07:46,937 - train: [ INFO] - Train: 99 [ 50/65 ( 78%)] Loss: 0.036798 (0.0644) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.88/s LR: 4.446e-04 P_Replacement: 0.036781218041436976 + +2023-08-09 15:07:56,761 - train: [ INFO] - Train: 99 [ 64/65 (100%)] Loss: 0.101564 (0.0678) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.75/s LR: 4.446e-04 P_Replacement: 0.037019945649656945 + +2023-08-09 15:07:57,826 - train: [ INFO] - Test: [ 0/7] Time: 0.930 (0.930) Loss: 1.0954 (1.0954) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:07:59,468 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.322) Loss: 0.7950 (1.3991) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (67.8161)Acc@5: 96.6667 (86.2069) + +2023-08-09 15:08:01,301 - train: [ INFO] - Train: 100 [ 0/65 ( 0%)] Loss: 0.078480 (0.0785) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.553s, 77.29/s LR: 4.420e-04 P_Replacement: 0.03703703703703703 + +2023-08-09 15:08:36,352 - train: [ INFO] - Train: 100 [ 50/65 ( 78%)] Loss: 0.046129 (0.0654) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.21/s LR: 4.420e-04 P_Replacement: 0.03789832937170214 + +2023-08-09 15:08:46,168 - train: [ INFO] - Train: 100 [ 64/65 (100%)] Loss: 0.039961 (0.0651) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.714s, 168.04/s LR: 4.420e-04 P_Replacement: 0.03814186134547109 + +2023-08-09 15:08:47,261 - train: [ INFO] - Test: [ 0/7] Time: 0.931 (0.931) Loss: 1.4803 (1.4803) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 82.5000 (82.5000) + +2023-08-09 15:08:48,917 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.323) Loss: 1.1609 (1.2757) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (70.0000)Acc@5: 90.0000 (87.9310) + +2023-08-09 15:08:50,735 - train: [ INFO] - Train: 101 [ 0/65 ( 0%)] Loss: 0.048146 (0.0481) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.519s, 78.99/s LR: 4.393e-04 P_Replacement: 0.038159296296296295 + +2023-08-09 15:09:25,871 - train: [ INFO] - Train: 101 [ 50/65 ( 78%)] Loss: 0.053566 (0.0564) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.97/s LR: 4.393e-04 P_Replacement: 0.03903783386436049 + +2023-08-09 15:09:35,743 - train: [ INFO] - Train: 101 [ 64/65 (100%)] Loss: 0.045395 (0.0552) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.65/s LR: 4.393e-04 P_Replacement: 0.03928621806692628 + +2023-08-09 15:09:36,747 - train: [ INFO] - Test: [ 0/7] Time: 0.902 (0.902) Loss: 1.0692 (1.0692) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 89.1667 (89.1667) + +2023-08-09 15:09:38,354 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.314) Loss: 0.5325 (1.2165) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (70.9195)Acc@5: 96.6667 (86.7816) + +2023-08-09 15:09:40,120 - train: [ INFO] - Train: 102 [ 0/65 ( 0%)] Loss: 0.034695 (0.0347) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.476s, 81.28/s LR: 4.367e-04 P_Replacement: 0.039304000000000006 + +2023-08-09 15:10:15,396 - train: [ INFO] - Train: 102 [ 50/65 ( 78%)] Loss: 0.089306 (0.0590) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.55/s LR: 4.367e-04 P_Replacement: 0.04019995374163422 + +2023-08-09 15:10:25,258 - train: [ INFO] - Train: 102 [ 64/65 (100%)] Loss: 0.077457 (0.0599) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.36/s LR: 4.367e-04 P_Replacement: 0.04045323803624472 + +2023-08-09 15:10:26,324 - train: [ INFO] - Test: [ 0/7] Time: 0.918 (0.918) Loss: 1.6260 (1.6260) cLoss: 0.0000 (0.0000) Acc@1: 61.6667 (61.6667)Acc@5: 81.6667 (81.6667) + +2023-08-09 15:10:27,954 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.318) Loss: 0.9171 (1.2804) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (69.6552)Acc@5: 93.3333 (86.2069) + +2023-08-09 15:10:29,802 - train: [ INFO] - Train: 103 [ 0/65 ( 0%)] Loss: 0.073854 (0.0739) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.563s, 76.76/s LR: 4.340e-04 P_Replacement: 0.040471370370370366 + +2023-08-09 15:11:04,905 - train: [ INFO] - Train: 103 [ 50/65 ( 78%)] Loss: 0.052291 (0.0607) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.92/s LR: 4.340e-04 P_Replacement: 0.04138491122574554 + +2023-08-09 15:11:14,670 - train: [ INFO] - Train: 103 [ 64/65 (100%)] Loss: 0.055807 (0.0613) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.714s, 168.00/s LR: 4.340e-04 P_Replacement: 0.041643143475648604 + +2023-08-09 15:11:15,779 - train: [ INFO] - Test: [ 0/7] Time: 0.956 (0.956) Loss: 1.1161 (1.1161) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:11:17,473 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.331) Loss: 1.5795 (1.2093) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (72.0690)Acc@5: 83.3333 (87.3563) + +2023-08-09 15:11:19,313 - train: [ INFO] - Train: 104 [ 0/65 ( 0%)] Loss: 0.036773 (0.0368) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.541s, 77.89/s LR: 4.314e-04 P_Replacement: 0.04166162962962963 + +2023-08-09 15:11:54,654 - train: [ INFO] - Train: 104 [ 50/65 ( 78%)] Loss: 0.049492 (0.0626) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.95/s LR: 4.314e-04 P_Replacement: 0.042592928538916705 + +2023-08-09 15:12:04,551 - train: [ INFO] - Train: 104 [ 64/65 (100%)] Loss: 0.048295 (0.0629) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.76/s LR: 4.314e-04 P_Replacement: 0.04285615660736021 + +2023-08-09 15:12:05,674 - train: [ INFO] - Test: [ 0/7] Time: 0.946 (0.946) Loss: 1.1598 (1.1598) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:12:07,294 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.321) Loss: 1.7463 (1.1733) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (71.1494)Acc@5: 80.0000 (88.6207) + +2023-08-09 15:12:09,170 - train: [ INFO] - Train: 105 [ 0/65 ( 0%)] Loss: 0.031157 (0.0312) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.574s, 76.24/s LR: 4.287e-04 P_Replacement: 0.04287499999999999 + +2023-08-09 15:12:44,446 - train: [ INFO] - Train: 105 [ 50/65 ( 78%)] Loss: 0.049664 (0.0601) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.09/s LR: 4.287e-04 P_Replacement: 0.04382422790336992 + +2023-08-09 15:12:54,312 - train: [ INFO] - Train: 105 [ 64/65 (100%)] Loss: 0.076687 (0.0608) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.98/s LR: 4.287e-04 P_Replacement: 0.0440924996536017 + +2023-08-09 15:12:55,370 - train: [ INFO] - Test: [ 0/7] Time: 0.929 (0.929) Loss: 1.0154 (1.0154) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 89.1667 (89.1667) + +2023-08-09 15:12:57,026 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.323) Loss: 1.1356 (1.2061) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (69.8851)Acc@5: 86.6667 (87.4713) + +2023-08-09 15:12:58,881 - train: [ INFO] - Train: 106 [ 0/65 ( 0%)] Loss: 0.089714 (0.0897) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.561s, 76.88/s LR: 4.260e-04 P_Replacement: 0.0441117037037037 + +2023-08-09 15:13:34,166 - train: [ INFO] - Train: 106 [ 50/65 ( 78%)] Loss: 0.056042 (0.0610) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.10/s LR: 4.260e-04 P_Replacement: 0.0450790315413274 + +2023-08-09 15:13:44,021 - train: [ INFO] - Train: 106 [ 64/65 (100%)] Loss: 0.064276 (0.0622) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.03/s LR: 4.260e-04 P_Replacement: 0.04535239483659535 + +2023-08-09 15:13:45,089 - train: [ INFO] - Test: [ 0/7] Time: 0.905 (0.905) Loss: 1.2602 (1.2602) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 86.6667 (86.6667) + +2023-08-09 15:13:46,759 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.322) Loss: 0.8284 (1.2140) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (71.9540)Acc@5: 93.3333 (87.0115) + +2023-08-09 15:13:48,584 - train: [ INFO] - Train: 107 [ 0/65 ( 0%)] Loss: 0.042636 (0.0426) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.510s, 79.48/s LR: 4.233e-04 P_Replacement: 0.04537196296296297 + +2023-08-09 15:14:23,990 - train: [ INFO] - Train: 107 [ 50/65 ( 78%)] Loss: 0.063984 (0.0623) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.79/s LR: 4.233e-04 P_Replacement: 0.046357561675011386 + +2023-08-09 15:14:33,928 - train: [ INFO] - Train: 107 [ 64/65 (100%)] Loss: 0.083055 (0.0639) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.49/s LR: 4.233e-04 P_Replacement: 0.046636064378563366 + +2023-08-09 15:14:34,991 - train: [ INFO] - Test: [ 0/7] Time: 0.916 (0.916) Loss: 1.1291 (1.1291) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 85.0000 (85.0000) + +2023-08-09 15:14:36,581 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.313) Loss: 1.1241 (1.1415) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (72.4138)Acc@5: 90.0000 (88.2759) + +2023-08-09 15:14:36,873 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-107.pth.tar', 72.41379731276939) + +2023-08-09 15:14:38,426 - train: [ INFO] - Train: 108 [ 0/65 ( 0%)] Loss: 0.057839 (0.0578) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.534s, 78.23/s LR: 4.206e-04 P_Replacement: 0.046655999999999996 + +2023-08-09 15:15:13,653 - train: [ INFO] - Train: 108 [ 50/65 ( 78%)] Loss: 0.034701 (0.0613) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.50/s LR: 4.206e-04 P_Replacement: 0.04766004052664407 + +2023-08-09 15:15:23,548 - train: [ INFO] - Train: 108 [ 64/65 (100%)] Loss: 0.037227 (0.0588) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.19/s LR: 4.206e-04 P_Replacement: 0.04794373050172794 + +2023-08-09 15:15:24,653 - train: [ INFO] - Test: [ 0/7] Time: 0.948 (0.948) Loss: 1.0877 (1.0877) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:15:26,224 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.315) Loss: 0.8730 (1.0831) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (73.2184)Acc@5: 86.6667 (89.5402) + +2023-08-09 15:15:26,503 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-108.pth.tar', 73.2183935231176) + +2023-08-09 15:15:28,088 - train: [ INFO] - Train: 109 [ 0/65 ( 0%)] Loss: 0.047883 (0.0479) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.565s, 76.67/s LR: 4.178e-04 P_Replacement: 0.04796403703703704 + +2023-08-09 15:16:03,323 - train: [ INFO] - Train: 109 [ 50/65 ( 78%)] Loss: 0.041108 (0.0463) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.31/s LR: 4.178e-04 P_Replacement: 0.04898669031844771 + +2023-08-09 15:16:13,195 - train: [ INFO] - Train: 109 [ 64/65 (100%)] Loss: 0.032745 (0.0470) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.13/s LR: 4.178e-04 P_Replacement: 0.04927561542831133 + +2023-08-09 15:16:14,304 - train: [ INFO] - Test: [ 0/7] Time: 0.957 (0.957) Loss: 1.1559 (1.1559) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:16:15,945 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.325) Loss: 1.7810 (1.2148) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (71.7241)Acc@5: 80.0000 (87.1264) + +2023-08-09 15:16:17,817 - train: [ INFO] - Train: 110 [ 0/65 ( 0%)] Loss: 0.052677 (0.0527) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.567s, 76.56/s LR: 4.151e-04 P_Replacement: 0.04929629629629628 + +2023-08-09 15:16:53,008 - train: [ INFO] - Train: 110 [ 50/65 ( 78%)] Loss: 0.079340 (0.0490) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.50/s LR: 4.151e-04 P_Replacement: 0.05033773327264452 + +2023-08-09 15:17:02,895 - train: [ INFO] - Train: 110 [ 64/65 (100%)] Loss: 0.054107 (0.0495) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.23/s LR: 4.151e-04 P_Replacement: 0.050631941380535755 + +2023-08-09 15:17:03,970 - train: [ INFO] - Test: [ 0/7] Time: 0.956 (0.956) Loss: 1.1726 (1.1726) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:17:05,574 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.320) Loss: 0.9979 (1.0909) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (72.7586)Acc@5: 90.0000 (88.8506) + +2023-08-09 15:17:07,405 - train: [ INFO] - Train: 111 [ 0/65 ( 0%)] Loss: 0.028665 (0.0287) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.567s, 76.57/s LR: 4.123e-04 P_Replacement: 0.050653 + +2023-08-09 15:17:42,528 - train: [ INFO] - Train: 111 [ 50/65 ( 78%)] Loss: 0.064553 (0.0621) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.81/s LR: 4.123e-04 P_Replacement: 0.051713391611456695 + +2023-08-09 15:17:52,360 - train: [ INFO] - Train: 111 [ 64/65 (100%)] Loss: 0.070896 (0.0611) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.67/s LR: 4.123e-04 P_Replacement: 0.05201293058062341 + +2023-08-09 15:17:53,391 - train: [ INFO] - Test: [ 0/7] Time: 0.865 (0.865) Loss: 1.0051 (1.0051) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:17:55,003 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.310) Loss: 1.7358 (1.2101) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (72.5287)Acc@5: 80.0000 (87.1264) + +2023-08-09 15:17:56,803 - train: [ INFO] - Train: 112 [ 0/65 ( 0%)] Loss: 0.048316 (0.0483) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.511s, 79.43/s LR: 4.096e-04 P_Replacement: 0.05203437037037038 + +2023-08-09 15:18:32,203 - train: [ INFO] - Train: 112 [ 50/65 ( 78%)] Loss: 0.039363 (0.0560) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.82/s LR: 4.096e-04 P_Replacement: 0.0531138875571065 + +2023-08-09 15:18:42,163 - train: [ INFO] - Train: 112 [ 64/65 (100%)] Loss: 0.039691 (0.0532) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.43/s LR: 4.096e-04 P_Replacement: 0.05341880525079655 + +2023-08-09 15:18:43,248 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 1.0948 (1.0948) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:18:44,940 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.329) Loss: 1.9833 (1.1299) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (73.9080)Acc@5: 76.6667 (88.5058) + +2023-08-09 15:18:45,246 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-112.pth.tar', 73.90804987940295) + +2023-08-09 15:18:46,760 - train: [ INFO] - Train: 113 [ 0/65 ( 0%)] Loss: 0.040844 (0.0408) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.494s, 80.30/s LR: 4.068e-04 P_Replacement: 0.05344062962962962 + +2023-08-09 15:19:21,951 - train: [ INFO] - Train: 113 [ 50/65 ( 78%)] Loss: 0.078086 (0.0506) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.84/s LR: 4.068e-04 P_Replacement: 0.0545394433318161 + +2023-08-09 15:19:31,833 - train: [ INFO] - Train: 113 [ 64/65 (100%)] Loss: 0.038009 (0.0487) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.51/s LR: 4.068e-04 P_Replacement: 0.054849787613277357 + +2023-08-09 15:19:32,885 - train: [ INFO] - Test: [ 0/7] Time: 0.907 (0.907) Loss: 1.0451 (1.0451) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:19:34,484 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.313) Loss: 1.3024 (1.1470) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (72.1839)Acc@5: 90.0000 (88.5058) + +2023-08-09 15:19:36,313 - train: [ INFO] - Train: 114 [ 0/65 ( 0%)] Loss: 0.040154 (0.0402) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.581s, 75.92/s LR: 4.040e-04 P_Replacement: 0.054872000000000004 + +2023-08-09 15:20:11,597 - train: [ INFO] - Train: 114 [ 50/65 ( 78%)] Loss: 0.042869 (0.0560) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.03/s LR: 4.040e-04 P_Replacement: 0.055990281157807784 + +2023-08-09 15:20:21,440 - train: [ INFO] - Train: 114 [ 64/65 (100%)] Loss: 0.076318 (0.0545) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.719s, 167.01/s LR: 4.040e-04 P_Replacement: 0.056306099890288105 + +2023-08-09 15:20:22,470 - train: [ INFO] - Test: [ 0/7] Time: 0.877 (0.877) Loss: 1.0865 (1.0865) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:20:24,129 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.317) Loss: 1.0893 (1.1285) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (73.5632)Acc@5: 86.6667 (88.0460) + +2023-08-09 15:20:26,018 - train: [ INFO] - Train: 115 [ 0/65 ( 0%)] Loss: 0.056522 (0.0565) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.615s, 74.32/s LR: 4.012e-04 P_Replacement: 0.056328703703703714 + +2023-08-09 15:21:01,189 - train: [ INFO] - Train: 115 [ 50/65 ( 78%)] Loss: 0.034750 (0.0438) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.38/s LR: 4.012e-04 P_Replacement: 0.057466623257303735 + +2023-08-09 15:21:11,068 - train: [ INFO] - Train: 115 [ 64/65 (100%)] Loss: 0.039275 (0.0435) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.16/s LR: 4.012e-04 P_Replacement: 0.05778796430405099 + +2023-08-09 15:21:12,174 - train: [ INFO] - Test: [ 0/7] Time: 0.957 (0.957) Loss: 0.6079 (0.6079) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:21:13,829 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.326) Loss: 1.3236 (1.1241) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (74.0230)Acc@5: 86.6667 (88.9655) + +2023-08-09 15:21:14,098 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-115.pth.tar', 74.02299236429148) + +2023-08-09 15:21:15,664 - train: [ INFO] - Train: 116 [ 0/65 ( 0%)] Loss: 0.044608 (0.0446) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.546s, 77.63/s LR: 3.983e-04 P_Replacement: 0.05781096296296296 + +2023-08-09 15:21:50,856 - train: [ INFO] - Train: 116 [ 50/65 ( 78%)] Loss: 0.072264 (0.0523) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.59/s LR: 3.983e-04 P_Replacement: 0.058968691852526164 + +2023-08-09 15:22:00,782 - train: [ INFO] - Train: 116 [ 64/65 (100%)] Loss: 0.041820 (0.0494) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.16/s LR: 3.983e-04 P_Replacement: 0.05929560307678821 + +2023-08-09 15:22:01,808 - train: [ INFO] - Test: [ 0/7] Time: 0.892 (0.892) Loss: 0.9998 (0.9998) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:22:03,456 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.317) Loss: 1.1188 (1.0882) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (74.1379)Acc@5: 83.3333 (89.1954) + +2023-08-09 15:22:03,741 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-116.pth.tar', 74.13793576996902) + +2023-08-09 15:22:05,230 - train: [ INFO] - Train: 117 [ 0/65 ( 0%)] Loss: 0.048032 (0.0480) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.471s, 81.60/s LR: 3.955e-04 P_Replacement: 0.059319000000000004 + +2023-08-09 15:22:40,456 - train: [ INFO] - Train: 117 [ 50/65 ( 78%)] Loss: 0.039828 (0.0497) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.79/s LR: 3.955e-04 P_Replacement: 0.060496709165697334 + +2023-08-09 15:22:50,282 - train: [ INFO] - Train: 117 [ 64/65 (100%)] Loss: 0.044264 (0.0491) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.68/s LR: 3.955e-04 P_Replacement: 0.060829238430722035 + +2023-08-09 15:22:51,370 - train: [ INFO] - Test: [ 0/7] Time: 0.945 (0.945) Loss: 0.9354 (0.9354) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:22:52,972 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.318) Loss: 1.2025 (1.0913) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (74.2529)Acc@5: 86.6667 (88.6207) + +2023-08-09 15:22:53,228 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-117.pth.tar', 74.2528778602337) + +2023-08-09 15:22:54,747 - train: [ INFO] - Train: 118 [ 0/65 ( 0%)] Loss: 0.058531 (0.0585) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.502s, 79.89/s LR: 3.927e-04 P_Replacement: 0.060853037037037025 + +2023-08-09 15:23:29,924 - train: [ INFO] - Train: 118 [ 50/65 ( 78%)] Loss: 0.036079 (0.0462) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.86/s LR: 3.927e-04 P_Replacement: 0.06205089741903944 + +2023-08-09 15:23:39,780 - train: [ INFO] - Train: 118 [ 64/65 (100%)] Loss: 0.072466 (0.0481) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.63/s LR: 3.927e-04 P_Replacement: 0.06238909258807464 + +2023-08-09 15:23:40,843 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 1.2696 (1.2696) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 84.1667 (84.1667) + +2023-08-09 15:23:42,459 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.318) Loss: 1.6085 (1.0957) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (73.4483)Acc@5: 80.0000 (88.9655) + +2023-08-09 15:23:44,284 - train: [ INFO] - Train: 119 [ 0/65 ( 0%)] Loss: 0.049172 (0.0492) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.581s, 75.91/s LR: 3.898e-04 P_Replacement: 0.0624132962962963 + +2023-08-09 15:24:19,441 - train: [ INFO] - Train: 119 [ 50/65 ( 78%)] Loss: 0.042372 (0.0483) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.60/s LR: 3.898e-04 P_Replacement: 0.06363147883477469 + +2023-08-09 15:24:29,329 - train: [ INFO] - Train: 119 [ 64/65 (100%)] Loss: 0.028298 (0.0470) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.30/s LR: 3.898e-04 P_Replacement: 0.06397538777106829 + +2023-08-09 15:24:30,393 - train: [ INFO] - Test: [ 0/7] Time: 0.907 (0.907) Loss: 1.4555 (1.4555) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:24:31,991 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.313) Loss: 0.8900 (1.1073) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.6782)Acc@5: 90.0000 (88.9655) + +2023-08-09 15:24:33,811 - train: [ INFO] - Train: 120 [ 0/65 ( 0%)] Loss: 0.030653 (0.0307) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.565s, 76.70/s LR: 3.870e-04 P_Replacement: 0.06400000000000002 + +2023-08-09 15:25:09,105 - train: [ INFO] - Train: 120 [ 50/65 ( 78%)] Loss: 0.038304 (0.0397) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 3.870e-04 P_Replacement: 0.06523867563512535 + +2023-08-09 15:25:19,003 - train: [ INFO] - Train: 120 [ 64/65 (100%)] Loss: 0.031138 (0.0404) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.83/s LR: 3.870e-04 P_Replacement: 0.06558834620192519 + +2023-08-09 15:25:20,066 - train: [ INFO] - Test: [ 0/7] Time: 0.935 (0.935) Loss: 0.8270 (0.8270) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:25:21,715 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.323) Loss: 1.0787 (1.0981) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (74.4828)Acc@5: 90.0000 (88.7356) + +2023-08-09 15:25:22,005 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-120.pth.tar', 74.48276361925849) + +2023-08-09 15:25:23,608 - train: [ INFO] - Train: 121 [ 0/65 ( 0%)] Loss: 0.046550 (0.0466) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.585s, 75.71/s LR: 3.841e-04 P_Replacement: 0.06561337037037036 + +2023-08-09 15:25:58,795 - train: [ INFO] - Train: 121 [ 50/65 ( 78%)] Loss: 0.049853 (0.0493) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.44/s LR: 3.841e-04 P_Replacement: 0.06687271004231359 + +2023-08-09 15:26:08,656 - train: [ INFO] - Train: 121 [ 64/65 (100%)] Loss: 0.032923 (0.0498) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.28/s LR: 3.841e-04 P_Replacement: 0.06722819010286754 + +2023-08-09 15:26:09,725 - train: [ INFO] - Test: [ 0/7] Time: 0.912 (0.912) Loss: 1.0300 (1.0300) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:26:11,365 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.319) Loss: 1.6083 (1.0776) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (74.4828)Acc@5: 80.0000 (89.3103) + +2023-08-09 15:26:13,179 - train: [ INFO] - Train: 122 [ 0/65 ( 0%)] Loss: 0.038684 (0.0387) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.536s, 78.11/s LR: 3.812e-04 P_Replacement: 0.06725362962962964 + +2023-08-09 15:26:48,365 - train: [ INFO] - Train: 122 [ 50/65 ( 78%)] Loss: 0.044523 (0.0475) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.66/s LR: 3.812e-04 P_Replacement: 0.06853380427856168 + +2023-08-09 15:26:58,206 - train: [ INFO] - Train: 122 [ 64/65 (100%)] Loss: 0.035656 (0.0466) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.52/s LR: 3.812e-04 P_Replacement: 0.0688951416961176 + +2023-08-09 15:26:59,291 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 1.0362 (1.0362) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:27:00,870 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.313) Loss: 1.1247 (1.1237) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (72.1839)Acc@5: 96.6667 (88.3908) + +2023-08-09 15:27:02,740 - train: [ INFO] - Train: 123 [ 0/65 ( 0%)] Loss: 0.036290 (0.0363) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.609s, 74.59/s LR: 3.783e-04 P_Replacement: 0.06892099999999998 + +2023-08-09 15:27:37,776 - train: [ INFO] - Train: 123 [ 50/65 ( 78%)] Loss: 0.090394 (0.0389) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.02/s LR: 3.783e-04 P_Replacement: 0.07022218056609182 + +2023-08-09 15:27:47,617 - train: [ INFO] - Train: 123 [ 64/65 (100%)] Loss: 0.028878 (0.0399) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.80/s LR: 3.783e-04 P_Replacement: 0.07058942320389755 + +2023-08-09 15:27:48,671 - train: [ INFO] - Test: [ 0/7] Time: 0.930 (0.930) Loss: 1.2334 (1.2334) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:27:50,259 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.315) Loss: 0.8131 (1.1799) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (72.7586)Acc@5: 90.0000 (88.2759) + +2023-08-09 15:27:52,143 - train: [ INFO] - Train: 124 [ 0/65 ( 0%)] Loss: 0.033190 (0.0332) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.574s, 76.24/s LR: 3.754e-04 P_Replacement: 0.07061570370370371 + +2023-08-09 15:28:27,196 - train: [ INFO] - Train: 124 [ 50/65 ( 78%)] Loss: 0.040172 (0.0607) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.10/s LR: 3.754e-04 P_Replacement: 0.07193806112712621 + +2023-08-09 15:28:37,049 - train: [ INFO] - Train: 124 [ 64/65 (100%)] Loss: 0.030497 (0.0570) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.83/s LR: 3.754e-04 P_Replacement: 0.07231125684842968 + +2023-08-09 15:28:38,157 - train: [ INFO] - Test: [ 0/7] Time: 0.957 (0.957) Loss: 1.3916 (1.3916) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 85.8333 (85.8333) + +2023-08-09 15:28:39,820 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.328) Loss: 1.6595 (1.2182) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (72.0690)Acc@5: 83.3333 (88.1609) + +2023-08-09 15:28:41,657 - train: [ INFO] - Train: 125 [ 0/65 ( 0%)] Loss: 0.033527 (0.0335) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.571s, 76.37/s LR: 3.725e-04 P_Replacement: 0.07233796296296298 + +2023-08-09 15:29:16,823 - train: [ INFO] - Train: 125 [ 50/65 ( 78%)] Loss: 0.046220 (0.0439) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.60/s LR: 3.725e-04 P_Replacement: 0.07368166818388712 + +2023-08-09 15:29:26,590 - train: [ INFO] - Train: 125 [ 64/65 (100%)] Loss: 0.040720 (0.0446) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.74/s LR: 3.725e-04 P_Replacement: 0.07406086485193615 + +2023-08-09 15:29:27,705 - train: [ INFO] - Test: [ 0/7] Time: 0.939 (0.939) Loss: 1.2053 (1.2053) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:29:29,299 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.317) Loss: 1.1486 (1.1651) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (73.6782)Acc@5: 86.6667 (88.7356) + +2023-08-09 15:29:31,168 - train: [ INFO] - Train: 126 [ 0/65 ( 0%)] Loss: 0.080883 (0.0809) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.571s, 76.38/s LR: 3.696e-04 P_Replacement: 0.07408799999999999 + +2023-08-09 15:30:06,309 - train: [ INFO] - Train: 126 [ 50/65 ( 78%)] Loss: 0.046582 (0.0506) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.71/s LR: 3.696e-04 P_Replacement: 0.07545322395859673 + +2023-08-09 15:30:16,195 - train: [ INFO] - Train: 126 [ 64/65 (100%)] Loss: 0.097751 (0.0504) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.40/s LR: 3.696e-04 P_Replacement: 0.07583846943663917 + +2023-08-09 15:30:17,278 - train: [ INFO] - Test: [ 0/7] Time: 0.932 (0.932) Loss: 0.9657 (0.9657) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 89.1667 (89.1667) + +2023-08-09 15:30:18,983 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.329) Loss: 0.5493 (1.0874) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (75.2874)Acc@5: 93.3333 (89.3104) + +2023-08-09 15:30:19,256 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-126.pth.tar', 75.28735930344155) + +2023-08-09 15:30:20,878 - train: [ INFO] - Train: 127 [ 0/65 ( 0%)] Loss: 0.042955 (0.0430) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.602s, 74.90/s LR: 3.667e-04 P_Replacement: 0.07586603703703704 + +2023-08-09 15:30:55,929 - train: [ INFO] - Train: 127 [ 50/65 ( 78%)] Loss: 0.037469 (0.0429) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.98/s LR: 3.667e-04 P_Replacement: 0.0772529506734773 + +2023-08-09 15:31:05,774 - train: [ INFO] - Train: 127 [ 64/65 (100%)] Loss: 0.032913 (0.0438) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.76/s LR: 3.667e-04 P_Replacement: 0.07764429282476104 + +2023-08-09 15:31:06,843 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 1.0626 (1.0626) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:31:08,465 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.319) Loss: 0.7108 (1.0954) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (74.8276)Acc@5: 96.6667 (88.6207) + +2023-08-09 15:31:10,276 - train: [ INFO] - Train: 128 [ 0/65 ( 0%)] Loss: 0.030737 (0.0307) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.568s, 76.55/s LR: 3.637e-04 P_Replacement: 0.07767229629629631 + +2023-08-09 15:31:45,393 - train: [ INFO] - Train: 128 [ 50/65 ( 78%)] Loss: 0.029670 (0.0363) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.84/s LR: 3.637e-04 P_Replacement: 0.07908107055075103 + +2023-08-09 15:31:55,248 - train: [ INFO] - Train: 128 [ 64/65 (100%)] Loss: 0.030418 (0.0361) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.61/s LR: 3.637e-04 P_Replacement: 0.07947855723852393 + +2023-08-09 15:31:56,299 - train: [ INFO] - Test: [ 0/7] Time: 0.931 (0.931) Loss: 1.0633 (1.0633) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 89.1667 (89.1667) + +2023-08-09 15:31:57,944 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.322) Loss: 1.1441 (1.0210) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (75.8621)Acc@5: 90.0000 (89.5402) + +2023-08-09 15:31:58,222 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-128.pth.tar', 75.86207264867322) + +2023-08-09 15:31:59,815 - train: [ INFO] - Train: 129 [ 0/65 ( 0%)] Loss: 0.022974 (0.0230) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.577s, 76.11/s LR: 3.608e-04 P_Replacement: 0.079507 + +2023-08-09 15:32:35,023 - train: [ INFO] - Train: 129 [ 50/65 ( 78%)] Loss: 0.042448 (0.0387) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.39/s LR: 3.608e-04 P_Replacement: 0.08093780581264012 + +2023-08-09 15:32:44,863 - train: [ INFO] - Train: 129 [ 64/65 (100%)] Loss: 0.074679 (0.0394) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.31/s LR: 3.608e-04 P_Replacement: 0.08134148490015003 + +2023-08-09 15:32:45,955 - train: [ INFO] - Test: [ 0/7] Time: 0.944 (0.944) Loss: 1.1556 (1.1556) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 89.1667 (89.1667) + +2023-08-09 15:32:47,590 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.322) Loss: 1.4833 (1.1270) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (75.5172)Acc@5: 86.6667 (88.5058) + +2023-08-09 15:32:49,493 - train: [ INFO] - Train: 130 [ 0/65 ( 0%)] Loss: 0.027050 (0.0270) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.596s, 75.17/s LR: 3.578e-04 P_Replacement: 0.08137037037037038 + +2023-08-09 15:33:24,564 - train: [ INFO] - Train: 130 [ 50/65 ( 78%)] Loss: 0.027026 (0.0354) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.92/s LR: 3.578e-04 P_Replacement: 0.08282337868136685 + +2023-08-09 15:33:34,408 - train: [ INFO] - Train: 130 [ 64/65 (100%)] Loss: 0.033786 (0.0353) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.71/s LR: 3.578e-04 P_Replacement: 0.08323329803186164 + +2023-08-09 15:33:35,451 - train: [ INFO] - Test: [ 0/7] Time: 0.896 (0.896) Loss: 0.9860 (0.9860) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:33:37,100 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.318) Loss: 0.5514 (1.0128) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (75.7471)Acc@5: 96.6667 (90.6897) + +2023-08-09 15:33:38,894 - train: [ INFO] - Train: 131 [ 0/65 ( 0%)] Loss: 0.050956 (0.0510) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.487s, 80.70/s LR: 3.549e-04 P_Replacement: 0.08326262962962962 + +2023-08-09 15:34:13,995 - train: [ INFO] - Train: 131 [ 50/65 ( 78%)] Loss: 0.027617 (0.0357) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.28/s LR: 3.549e-04 P_Replacement: 0.0847380113791534 + +2023-08-09 15:34:23,852 - train: [ INFO] - Train: 131 [ 64/65 (100%)] Loss: 0.027799 (0.0362) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.714s, 167.95/s LR: 3.549e-04 P_Replacement: 0.0851542188558809 + +2023-08-09 15:34:24,940 - train: [ INFO] - Test: [ 0/7] Time: 0.938 (0.938) Loss: 1.1574 (1.1574) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 89.1667 (89.1667) + +2023-08-09 15:34:26,533 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.316) Loss: 1.3468 (1.0421) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (76.0920)Acc@5: 83.3333 (89.7701) + +2023-08-09 15:34:26,809 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-131.pth.tar', 76.09195788153286) + +2023-08-09 15:34:28,342 - train: [ INFO] - Train: 132 [ 0/65 ( 0%)] Loss: 0.025155 (0.0252) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.513s, 79.29/s LR: 3.519e-04 P_Replacement: 0.085184 + +2023-08-09 15:35:03,729 - train: [ INFO] - Train: 132 [ 50/65 ( 78%)] Loss: 0.022180 (0.0353) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.86/s LR: 3.519e-04 P_Replacement: 0.08668192612822198 + +2023-08-09 15:35:13,701 - train: [ INFO] - Train: 132 [ 64/65 (100%)] Loss: 0.024908 (0.0349) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.42/s LR: 3.519e-04 P_Replacement: 0.08710446959443012 + +2023-08-09 15:35:14,791 - train: [ INFO] - Test: [ 0/7] Time: 0.938 (0.938) Loss: 0.9640 (0.9640) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:35:16,407 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.319) Loss: 0.8172 (1.0656) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (75.2874)Acc@5: 90.0000 (89.5402) + +2023-08-09 15:35:18,279 - train: [ INFO] - Train: 133 [ 0/65 ( 0%)] Loss: 0.048349 (0.0483) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.609s, 74.59/s LR: 3.490e-04 P_Replacement: 0.08713470370370371 + +2023-08-09 15:35:53,532 - train: [ INFO] - Train: 133 [ 50/65 ( 78%)] Loss: 0.024565 (0.0318) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 3.490e-04 P_Replacement: 0.08865534515079486 + +2023-08-09 15:36:03,367 - train: [ INFO] - Train: 133 [ 64/65 (100%)] Loss: 0.030255 (0.0315) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.05/s LR: 3.490e-04 P_Replacement: 0.08908427246973147 + +2023-08-09 15:36:04,454 - train: [ INFO] - Test: [ 0/7] Time: 0.951 (0.951) Loss: 1.0044 (1.0044) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:36:06,004 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.313) Loss: 1.2652 (1.0900) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (75.2874)Acc@5: 80.0000 (88.5058) + +2023-08-09 15:36:07,841 - train: [ INFO] - Train: 134 [ 0/65 ( 0%)] Loss: 0.024569 (0.0246) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.577s, 76.10/s LR: 3.460e-04 P_Replacement: 0.08911496296296295 + +2023-08-09 15:36:42,932 - train: [ INFO] - Train: 134 [ 50/65 ( 78%)] Loss: 0.042500 (0.0356) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.91/s LR: 3.460e-04 P_Replacement: 0.0906584906690942 + +2023-08-09 15:36:52,766 - train: [ INFO] - Train: 134 [ 64/65 (100%)] Loss: 0.030886 (0.0344) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.75/s LR: 3.460e-04 P_Replacement: 0.09109384970400713 + +2023-08-09 15:36:53,829 - train: [ INFO] - Test: [ 0/7] Time: 0.942 (0.942) Loss: 1.4185 (1.4185) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 84.1667 (84.1667) + +2023-08-09 15:36:55,513 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.328) Loss: 0.6817 (1.0059) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (77.2414)Acc@5: 96.6667 (88.8506) + +2023-08-09 15:36:55,777 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-134.pth.tar', 77.2413829935008) + +2023-08-09 15:36:57,385 - train: [ INFO] - Train: 135 [ 0/65 ( 0%)] Loss: 0.025592 (0.0256) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.586s, 75.66/s LR: 3.430e-04 P_Replacement: 0.09112500000000001 + +2023-08-09 15:37:32,599 - train: [ INFO] - Train: 135 [ 50/65 ( 78%)] Loss: 0.031620 (0.0320) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.33/s LR: 3.430e-04 P_Replacement: 0.09269158490534231 + +2023-08-09 15:37:42,458 - train: [ INFO] - Train: 135 [ 64/65 (100%)] Loss: 0.023906 (0.0311) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.20/s LR: 3.430e-04 P_Replacement: 0.09313342351947942 + +2023-08-09 15:37:43,525 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 1.0314 (1.0314) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:37:45,154 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.319) Loss: 0.7863 (0.9773) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (77.1264)Acc@5: 93.3333 (90.3448) + +2023-08-09 15:37:47,029 - train: [ INFO] - Train: 136 [ 0/65 ( 0%)] Loss: 0.029729 (0.0297) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.605s, 74.77/s LR: 3.400e-04 P_Replacement: 0.09316503703703702 + +2023-08-09 15:38:22,202 - train: [ INFO] - Train: 136 [ 50/65 ( 78%)] Loss: 0.043459 (0.0308) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.42/s LR: 3.400e-04 P_Replacement: 0.09475485008176134 + +2023-08-09 15:38:32,014 - train: [ INFO] - Train: 136 [ 64/65 (100%)] Loss: 0.035564 (0.0312) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.43/s LR: 3.400e-04 P_Replacement: 0.09520321613837049 + +2023-08-09 15:38:33,059 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 0.7566 (0.7566) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:38:34,683 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.321) Loss: 0.8944 (1.0062) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (75.7471)Acc@5: 90.0000 (89.1954) + +2023-08-09 15:38:36,563 - train: [ INFO] - Train: 137 [ 0/65 ( 0%)] Loss: 0.027802 (0.0278) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.574s, 76.23/s LR: 3.371e-04 P_Replacement: 0.09523529629629629 + +2023-08-09 15:39:11,816 - train: [ INFO] - Train: 137 [ 50/65 ( 78%)] Loss: 0.031019 (0.0327) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.20/s LR: 3.371e-04 P_Replacement: 0.0968485084205735 + +2023-08-09 15:39:21,670 - train: [ INFO] - Train: 137 [ 64/65 (100%)] Loss: 0.026966 (0.0324) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.10/s LR: 3.371e-04 P_Replacement: 0.0973034497829026 + +2023-08-09 15:39:22,751 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 0.9509 (0.9509) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:39:24,385 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.320) Loss: 1.2265 (1.0036) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.5517)Acc@5: 93.3333 (90.3448) + +2023-08-09 15:39:26,301 - train: [ INFO] - Train: 138 [ 0/65 ( 0%)] Loss: 0.027939 (0.0279) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.612s, 74.45/s LR: 3.341e-04 P_Replacement: 0.097336 + +2023-08-09 15:40:01,539 - train: [ INFO] - Train: 138 [ 50/65 ( 78%)] Loss: 0.031062 (0.0317) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.09/s LR: 3.341e-04 P_Replacement: 0.09897278214400108 + +2023-08-09 15:40:11,368 - train: [ INFO] - Train: 138 [ 64/65 (100%)] Loss: 0.025336 (0.0311) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.11/s LR: 3.341e-04 P_Replacement: 0.09943434667529798 + +2023-08-09 15:40:12,421 - train: [ INFO] - Test: [ 0/7] Time: 0.933 (0.933) Loss: 0.9667 (0.9667) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:40:14,050 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.320) Loss: 0.7029 (1.0053) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (77.5862)Acc@5: 96.6667 (90.1149) + +2023-08-09 15:40:14,322 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-138.pth.tar', 77.5862124212857) + +2023-08-09 15:40:15,932 - train: [ INFO] - Train: 139 [ 0/65 ( 0%)] Loss: 0.034995 (0.0350) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.591s, 75.41/s LR: 3.311e-04 P_Replacement: 0.09946737037037036 + +2023-08-09 15:40:51,019 - train: [ INFO] - Train: 139 [ 50/65 ( 78%)] Loss: 0.035144 (0.0314) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.87/s LR: 3.311e-04 P_Replacement: 0.10112789347426623 + +2023-08-09 15:41:00,817 - train: [ INFO] - Train: 139 [ 64/65 (100%)] Loss: 0.029686 (0.0308) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.84/s LR: 3.311e-04 P_Replacement: 0.10159612903777877 + +2023-08-09 15:41:01,930 - train: [ INFO] - Test: [ 0/7] Time: 0.934 (0.934) Loss: 0.8477 (0.8477) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:41:03,502 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.313) Loss: 1.1470 (1.0305) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (76.0920)Acc@5: 90.0000 (89.6552) + +2023-08-09 15:41:05,322 - train: [ INFO] - Train: 140 [ 0/65 ( 0%)] Loss: 0.028022 (0.0280) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.573s, 76.28/s LR: 3.281e-04 P_Replacement: 0.10162962962962964 + +2023-08-09 15:41:40,491 - train: [ INFO] - Train: 140 [ 50/65 ( 78%)] Loss: 0.040065 (0.0296) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.57/s LR: 3.281e-04 P_Replacement: 0.10331406463359126 + +2023-08-09 15:41:50,388 - train: [ INFO] - Train: 140 [ 64/65 (100%)] Loss: 0.037060 (0.0302) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.25/s LR: 3.281e-04 P_Replacement: 0.10378901909256731 + +2023-08-09 15:41:51,481 - train: [ INFO] - Test: [ 0/7] Time: 0.965 (0.965) Loss: 0.9417 (0.9417) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:41:53,077 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.320) Loss: 0.7968 (1.0692) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (74.8276)Acc@5: 90.0000 (88.9655) + +2023-08-09 15:41:54,977 - train: [ INFO] - Train: 141 [ 0/65 ( 0%)] Loss: 0.021117 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.599s, 75.05/s LR: 3.251e-04 P_Replacement: 0.10382299999999998 + +2023-08-09 15:42:30,310 - train: [ INFO] - Train: 141 [ 50/65 ( 78%)] Loss: 0.027673 (0.0317) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.72/s LR: 3.251e-04 P_Replacement: 0.10553151784419833 + +2023-08-09 15:42:40,139 - train: [ INFO] - Train: 141 [ 64/65 (100%)] Loss: 0.025493 (0.0315) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.82/s LR: 3.251e-04 P_Replacement: 0.10601323906188576 + +2023-08-09 15:42:41,163 - train: [ INFO] - Test: [ 0/7] Time: 0.904 (0.904) Loss: 0.8571 (0.8571) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:42:42,747 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.311) Loss: 0.5416 (1.0153) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (75.4023)Acc@5: 96.6667 (89.8851) + +2023-08-09 15:42:44,532 - train: [ INFO] - Train: 142 [ 0/65 ( 0%)] Loss: 0.029483 (0.0295) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.22/s LR: 3.221e-04 P_Replacement: 0.1060477037037037 + +2023-08-09 15:43:19,793 - train: [ INFO] - Train: 142 [ 50/65 ( 78%)] Loss: 0.019258 (0.0275) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.51/s LR: 3.221e-04 P_Replacement: 0.10778047532830964 + +2023-08-09 15:43:29,564 - train: [ INFO] - Train: 142 [ 64/65 (100%)] Loss: 0.022295 (0.0274) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.65/s LR: 3.221e-04 P_Replacement: 0.1082690111679563 + +2023-08-09 15:43:30,646 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 1.0511 (1.0511) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:43:32,281 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.320) Loss: 0.7001 (0.9931) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (77.0115)Acc@5: 90.0000 (89.7701) + +2023-08-09 15:43:34,140 - train: [ INFO] - Train: 143 [ 0/65 ( 0%)] Loss: 0.024887 (0.0249) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.580s, 75.93/s LR: 3.191e-04 P_Replacement: 0.10830396296296298 + +2023-08-09 15:44:09,278 - train: [ INFO] - Train: 143 [ 50/65 ( 78%)] Loss: 0.027699 (0.0252) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.69/s LR: 3.191e-04 P_Replacement: 0.11006115930814749 + +2023-08-09 15:44:19,181 - train: [ INFO] - Train: 143 [ 64/65 (100%)] Loss: 0.027215 (0.0252) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.32/s LR: 3.191e-04 P_Replacement: 0.11055655763300123 + +2023-08-09 15:44:20,293 - train: [ INFO] - Test: [ 0/7] Time: 0.964 (0.964) Loss: 1.2604 (1.2604) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 89.1667 (89.1667) + +2023-08-09 15:44:21,899 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.321) Loss: 0.7534 (1.0038) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (76.6667)Acc@5: 93.3333 (89.8851) + +2023-08-09 15:44:23,643 - train: [ INFO] - Train: 144 [ 0/65 ( 0%)] Loss: 0.030775 (0.0308) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.470s, 81.61/s LR: 3.161e-04 P_Replacement: 0.11059199999999998 + +2023-08-09 15:44:58,835 - train: [ INFO] - Train: 144 [ 50/65 ( 78%)] Loss: 0.027631 (0.0283) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.94/s LR: 3.161e-04 P_Replacement: 0.112373792005934 + +2023-08-09 15:45:08,727 - train: [ INFO] - Train: 144 [ 64/65 (100%)] Loss: 0.018531 (0.0272) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.55/s LR: 3.161e-04 P_Replacement: 0.11287610067924272 + +2023-08-09 15:45:09,760 - train: [ INFO] - Test: [ 0/7] Time: 0.880 (0.880) Loss: 1.0795 (1.0795) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 86.6667 (86.6667) + +2023-08-09 15:45:11,327 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.306) Loss: 0.8629 (1.0524) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (75.7471)Acc@5: 93.3333 (88.9655) + +2023-08-09 15:45:13,086 - train: [ INFO] - Train: 145 [ 0/65 ( 0%)] Loss: 0.021641 (0.0216) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.475s, 81.33/s LR: 3.130e-04 P_Replacement: 0.11291203703703703 + +2023-08-09 15:45:48,246 - train: [ INFO] - Train: 145 [ 50/65 ( 78%)] Loss: 0.020612 (0.0266) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.06/s LR: 3.130e-04 P_Replacement: 0.1147185956438915 + +2023-08-09 15:45:58,085 - train: [ INFO] - Train: 145 [ 64/65 (100%)] Loss: 0.026110 (0.0281) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.715s, 167.84/s LR: 3.130e-04 P_Replacement: 0.11522786252890305 + +2023-08-09 15:45:59,144 - train: [ INFO] - Test: [ 0/7] Time: 0.897 (0.897) Loss: 0.9749 (0.9749) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:46:00,778 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.316) Loss: 0.6807 (1.0099) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (77.1264)Acc@5: 96.6667 (89.6552) + +2023-08-09 15:46:02,589 - train: [ INFO] - Train: 146 [ 0/65 ( 0%)] Loss: 0.022780 (0.0228) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.506s, 79.68/s LR: 3.100e-04 P_Replacement: 0.11526429629629631 + +2023-08-09 15:46:37,651 - train: [ INFO] - Train: 146 [ 50/65 ( 78%)] Loss: 0.024218 (0.0271) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.37/s LR: 3.100e-04 P_Replacement: 0.11709579244424216 + +2023-08-09 15:46:47,487 - train: [ INFO] - Train: 146 [ 64/65 (100%)] Loss: 0.029465 (0.0268) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.714s, 168.10/s LR: 3.100e-04 P_Replacement: 0.11761206540420441 + +2023-08-09 15:46:48,515 - train: [ INFO] - Test: [ 0/7] Time: 0.893 (0.893) Loss: 0.8615 (0.8615) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:46:50,163 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.318) Loss: 1.3675 (1.0086) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (75.9770)Acc@5: 83.3333 (90.0000) + +2023-08-09 15:46:51,998 - train: [ INFO] - Train: 147 [ 0/65 ( 0%)] Loss: 0.026019 (0.0260) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.559s, 77.00/s LR: 3.070e-04 P_Replacement: 0.11764899999999999 + +2023-08-09 15:47:27,275 - train: [ INFO] - Train: 147 [ 50/65 ( 78%)] Loss: 0.026559 (0.0223) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.16/s LR: 3.070e-04 P_Replacement: 0.11950560462920817 + +2023-08-09 15:47:37,111 - train: [ INFO] - Train: 147 [ 64/65 (100%)] Loss: 0.017681 (0.0222) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.14/s LR: 3.070e-04 P_Replacement: 0.12002893152736896 + +2023-08-09 15:47:38,180 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 1.0523 (1.0523) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:47:39,772 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.315) Loss: 0.7848 (0.9762) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (77.1264)Acc@5: 93.3333 (89.6552) + +2023-08-09 15:47:41,634 - train: [ INFO] - Train: 148 [ 0/65 ( 0%)] Loss: 0.035948 (0.0359) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.591s, 75.41/s LR: 3.040e-04 P_Replacement: 0.12006637037037038 + +2023-08-09 15:48:16,848 - train: [ INFO] - Train: 148 [ 50/65 ( 78%)] Loss: 0.024790 (0.0229) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.29/s LR: 3.040e-04 P_Replacement: 0.12194825442101181 + +2023-08-09 15:48:26,731 - train: [ INFO] - Train: 148 [ 64/65 (100%)] Loss: 0.030901 (0.0230) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.08/s LR: 3.040e-04 P_Replacement: 0.12247868312061903 + +2023-08-09 15:48:27,784 - train: [ INFO] - Test: [ 0/7] Time: 0.901 (0.901) Loss: 0.7438 (0.7438) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:48:29,457 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.322) Loss: 1.1774 (0.9646) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (76.6667)Acc@5: 86.6667 (90.5747) + +2023-08-09 15:48:31,218 - train: [ INFO] - Train: 149 [ 0/65 ( 0%)] Loss: 0.031589 (0.0316) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.485s, 80.82/s LR: 3.010e-04 P_Replacement: 0.12251662962962961 + +2023-08-09 15:49:06,528 - train: [ INFO] - Train: 149 [ 50/65 ( 78%)] Loss: 0.021735 (0.0230) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.34/s LR: 3.010e-04 P_Replacement: 0.1244239640418753 + +2023-08-09 15:49:16,409 - train: [ INFO] - Train: 149 [ 64/65 (100%)] Loss: 0.023769 (0.0226) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.12/s LR: 3.010e-04 P_Replacement: 0.12496154240617675 + +2023-08-09 15:49:17,515 - train: [ INFO] - Test: [ 0/7] Time: 0.953 (0.953) Loss: 0.9241 (0.9241) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:49:19,266 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.338) Loss: 0.7439 (0.9869) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (77.5862)Acc@5: 90.0000 (89.8851) + +2023-08-09 15:49:21,102 - train: [ INFO] - Train: 150 [ 0/65 ( 0%)] Loss: 0.019050 (0.0190) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.558s, 77.01/s LR: 2.980e-04 P_Replacement: 0.125 + +2023-08-09 15:49:56,488 - train: [ INFO] - Train: 150 [ 50/65 ( 78%)] Loss: 0.017179 (0.0196) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.69/s LR: 2.980e-04 P_Replacement: 0.1269329557140208 + +2023-08-09 15:50:06,303 - train: [ INFO] - Train: 150 [ 64/65 (100%)] Loss: 0.019751 (0.0204) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.84/s LR: 2.980e-04 P_Replacement: 0.12747773160626444 + +2023-08-09 15:50:07,368 - train: [ INFO] - Test: [ 0/7] Time: 0.948 (0.948) Loss: 0.9449 (0.9449) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:50:08,982 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.320) Loss: 0.8648 (0.9414) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (78.2759)Acc@5: 90.0000 (91.3793) + +2023-08-09 15:50:09,274 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-150.pth.tar', 78.27586496287378) + +2023-08-09 15:50:10,854 - train: [ INFO] - Train: 151 [ 0/65 ( 0%)] Loss: 0.023433 (0.0234) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.559s, 76.95/s LR: 2.950e-04 P_Replacement: 0.1275167037037037 + +2023-08-09 15:50:46,150 - train: [ INFO] - Train: 151 [ 50/65 ( 78%)] Loss: 0.018208 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.07/s LR: 2.950e-04 P_Replacement: 0.12947545165967056 + +2023-08-09 15:50:56,001 - train: [ INFO] - Train: 151 [ 64/65 (100%)] Loss: 0.018661 (0.0218) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.02/s LR: 2.950e-04 P_Replacement: 0.1300274729431042 + +2023-08-09 15:50:57,109 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.9071 (0.9071) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:50:58,762 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.324) Loss: 0.5765 (0.9430) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (79.3103)Acc@5: 93.3333 (90.9195) + +2023-08-09 15:50:59,015 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-151.pth.tar', 79.3103492999899) + +2023-08-09 15:51:00,588 - train: [ INFO] - Train: 152 [ 0/65 ( 0%)] Loss: 0.017078 (0.0171) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.555s, 77.17/s LR: 2.919e-04 P_Replacement: 0.130066962962963 + +2023-08-09 15:51:35,779 - train: [ INFO] - Train: 152 [ 50/65 ( 78%)] Loss: 0.029509 (0.0237) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.56/s LR: 2.919e-04 P_Replacement: 0.1320516741010469 + +2023-08-09 15:51:45,734 - train: [ INFO] - Train: 152 [ 64/65 (100%)] Loss: 0.019454 (0.0240) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.03/s LR: 2.919e-04 P_Replacement: 0.13261098863891843 + +2023-08-09 15:51:46,824 - train: [ INFO] - Test: [ 0/7] Time: 0.974 (0.974) Loss: 0.8925 (0.8925) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:51:48,542 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.337) Loss: 1.2196 (0.9956) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (76.6667)Acc@5: 90.0000 (90.1149) + +2023-08-09 15:51:50,370 - train: [ INFO] - Train: 153 [ 0/65 ( 0%)] Loss: 0.021128 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.570s, 76.42/s LR: 2.889e-04 P_Replacement: 0.13265100000000002 + +2023-08-09 15:52:25,628 - train: [ INFO] - Train: 153 [ 50/65 ( 78%)] Loss: 0.023581 (0.0226) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.19/s LR: 2.889e-04 P_Replacement: 0.1346618452603719 + +2023-08-09 15:52:35,334 - train: [ INFO] - Train: 153 [ 64/65 (100%)] Loss: 0.019802 (0.0228) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.63/s LR: 2.889e-04 P_Replacement: 0.13522850091592914 + +2023-08-09 15:52:36,397 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 0.8071 (0.8071) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:52:38,000 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.316) Loss: 0.9182 (0.9620) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (77.5862)Acc@5: 86.6667 (90.5747) + +2023-08-09 15:52:39,874 - train: [ INFO] - Train: 154 [ 0/65 ( 0%)] Loss: 0.019494 (0.0195) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.604s, 74.83/s LR: 2.859e-04 P_Replacement: 0.13526903703703702 + +2023-08-09 15:53:14,926 - train: [ INFO] - Train: 154 [ 50/65 ( 78%)] Loss: 0.017669 (0.0221) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.97/s LR: 2.859e-04 P_Replacement: 0.1373061873598678 + +2023-08-09 15:53:24,783 - train: [ INFO] - Train: 154 [ 64/65 (100%)] Loss: 0.032303 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.71/s LR: 2.859e-04 P_Replacement: 0.13788023199635865 + +2023-08-09 15:53:25,820 - train: [ INFO] - Test: [ 0/7] Time: 0.894 (0.894) Loss: 0.8784 (0.8784) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:53:27,439 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.314) Loss: 1.4759 (0.9921) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (75.8621)Acc@5: 80.0000 (90.5747) + +2023-08-09 15:53:29,253 - train: [ INFO] - Train: 155 [ 0/65 ( 0%)] Loss: 0.017883 (0.0179) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.505s, 79.74/s LR: 2.829e-04 P_Replacement: 0.13792129629629635 + +2023-08-09 15:54:04,546 - train: [ INFO] - Train: 155 [ 50/65 ( 78%)] Loss: 0.019936 (0.0248) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.33/s LR: 2.829e-04 P_Replacement: 0.13998492262175696 + +2023-08-09 15:54:14,500 - train: [ INFO] - Train: 155 [ 64/65 (100%)] Loss: 0.024155 (0.0244) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.85/s LR: 2.829e-04 P_Replacement: 0.14056640410242927 + +2023-08-09 15:54:15,503 - train: [ INFO] - Test: [ 0/7] Time: 0.916 (0.916) Loss: 0.9595 (0.9595) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:54:17,114 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.316) Loss: 0.7175 (0.9890) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.4368)Acc@5: 96.6667 (91.1494) + +2023-08-09 15:54:19,027 - train: [ INFO] - Train: 156 [ 0/65 ( 0%)] Loss: 0.019253 (0.0193) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.615s, 74.30/s LR: 2.799e-04 P_Replacement: 0.140608 + +2023-08-09 15:54:54,236 - train: [ INFO] - Train: 156 [ 50/65 ( 78%)] Loss: 0.025434 (0.0216) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.21/s LR: 2.799e-04 P_Replacement: 0.14269827326826143 + +2023-08-09 15:55:04,082 - train: [ INFO] - Train: 156 [ 64/65 (100%)] Loss: 0.022555 (0.0214) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.14/s LR: 2.799e-04 P_Replacement: 0.14328723945636307 + +2023-08-09 15:55:05,165 - train: [ INFO] - Test: [ 0/7] Time: 0.921 (0.921) Loss: 1.1385 (1.1385) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:55:06,787 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.318) Loss: 0.3326 (0.9942) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (77.4713)Acc@5: 100.0000 (90.5747) + +2023-08-09 15:55:08,589 - train: [ INFO] - Train: 157 [ 0/65 ( 0%)] Loss: 0.021222 (0.0212) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.529s, 78.50/s LR: 2.769e-04 P_Replacement: 0.14332937037037036 + +2023-08-09 15:55:43,942 - train: [ INFO] - Train: 157 [ 50/65 ( 78%)] Loss: 0.018893 (0.0207) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.97/s LR: 2.769e-04 P_Replacement: 0.1454464615216035 + +2023-08-09 15:55:53,828 - train: [ INFO] - Train: 157 [ 64/65 (100%)] Loss: 0.018313 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.81/s LR: 2.769e-04 P_Replacement: 0.14604296028038233 + +2023-08-09 15:55:54,817 - train: [ INFO] - Test: [ 0/7] Time: 0.880 (0.880) Loss: 0.9637 (0.9637) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:55:56,449 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.314) Loss: 1.4970 (0.9243) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (78.3908)Acc@5: 93.3333 (91.4943) + +2023-08-09 15:55:58,242 - train: [ INFO] - Train: 158 [ 0/65 ( 0%)] Loss: 0.020281 (0.0203) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.499s, 80.03/s LR: 2.739e-04 P_Replacement: 0.1460856296296296 + +2023-08-09 15:56:33,532 - train: [ INFO] - Train: 158 [ 50/65 ( 78%)] Loss: 0.018963 (0.0262) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 2.739e-04 P_Replacement: 0.1482297096040055 + +2023-08-09 15:56:43,418 - train: [ INFO] - Train: 158 [ 64/65 (100%)] Loss: 0.052574 (0.0273) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.12/s LR: 2.739e-04 P_Replacement: 0.14883378879670928 + +2023-08-09 15:56:44,412 - train: [ INFO] - Test: [ 0/7] Time: 0.867 (0.867) Loss: 1.1524 (1.1524) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:56:46,003 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.307) Loss: 0.5414 (0.9988) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (75.2874)Acc@5: 96.6667 (90.2299) + +2023-08-09 15:56:47,766 - train: [ INFO] - Train: 159 [ 0/65 ( 0%)] Loss: 0.021858 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.485s, 80.80/s LR: 2.709e-04 P_Replacement: 0.148877 + +2023-08-09 15:57:23,061 - train: [ INFO] - Train: 159 [ 50/65 ( 78%)] Loss: 0.030191 (0.0276) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.40/s LR: 2.709e-04 P_Replacement: 0.15104823973768947 + +2023-08-09 15:57:32,894 - train: [ INFO] - Train: 159 [ 64/65 (100%)] Loss: 0.056385 (0.0295) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.34/s LR: 2.709e-04 P_Replacement: 0.15165994722756623 + +2023-08-09 15:57:33,939 - train: [ INFO] - Test: [ 0/7] Time: 0.898 (0.898) Loss: 0.9041 (0.9041) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:57:35,571 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.316) Loss: 1.2377 (0.9556) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (76.6667)Acc@5: 90.0000 (90.5747) + +2023-08-09 15:57:37,414 - train: [ INFO] - Train: 160 [ 0/65 ( 0%)] Loss: 0.023480 (0.0235) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.540s, 77.91/s LR: 2.679e-04 P_Replacement: 0.1517037037037037 + +2023-08-09 15:58:12,686 - train: [ INFO] - Train: 160 [ 50/65 ( 78%)] Loss: 0.032206 (0.0247) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.25/s LR: 2.679e-04 P_Replacement: 0.15390227414487767 + +2023-08-09 15:58:22,589 - train: [ INFO] - Train: 160 [ 64/65 (100%)] Loss: 0.018560 (0.0246) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.97/s LR: 2.679e-04 P_Replacement: 0.15452165779517524 + +2023-08-09 15:58:23,590 - train: [ INFO] - Test: [ 0/7] Time: 0.869 (0.869) Loss: 1.1011 (1.1011) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:58:25,179 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.307) Loss: 1.2408 (0.9692) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (78.3908)Acc@5: 86.6667 (91.4943) + +2023-08-09 15:58:26,931 - train: [ INFO] - Train: 161 [ 0/65 ( 0%)] Loss: 0.027629 (0.0276) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.483s, 80.90/s LR: 2.649e-04 P_Replacement: 0.15456596296296293 + +2023-08-09 15:59:02,262 - train: [ INFO] - Train: 161 [ 50/65 ( 78%)] Loss: 0.022738 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.25/s LR: 2.649e-04 P_Replacement: 0.1567920350477924 + +2023-08-09 15:59:12,214 - train: [ INFO] - Train: 161 [ 64/65 (100%)] Loss: 0.018676 (0.0209) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.80/s LR: 2.649e-04 P_Replacement: 0.15741914272175858 + +2023-08-09 15:59:13,295 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.8731 (0.8731) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:59:14,878 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.315) Loss: 0.7475 (0.9101) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (78.2759)Acc@5: 90.0000 (91.4943) + +2023-08-09 15:59:16,784 - train: [ INFO] - Train: 162 [ 0/65 ( 0%)] Loss: 0.021672 (0.0217) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.602s, 74.90/s LR: 2.619e-04 P_Replacement: 0.15746400000000002 + +2023-08-09 15:59:51,979 - train: [ INFO] - Train: 162 [ 50/65 ( 78%)] Loss: 0.019460 (0.0217) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.33/s LR: 2.619e-04 P_Replacement: 0.15971774466865593 + +2023-08-09 16:00:01,824 - train: [ INFO] - Train: 162 [ 64/65 (100%)] Loss: 0.023947 (0.0218) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.24/s LR: 2.619e-04 P_Replacement: 0.16035262422953864 + +2023-08-09 16:00:02,881 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 1.0197 (1.0197) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-09 16:00:04,539 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.323) Loss: 1.2647 (0.9778) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (77.8161)Acc@5: 86.6667 (90.2299) + +2023-08-09 16:00:06,316 - train: [ INFO] - Train: 163 [ 0/65 ( 0%)] Loss: 0.020005 (0.0200) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.23/s LR: 2.589e-04 P_Replacement: 0.16039803703703703 + +2023-08-09 16:00:41,677 - train: [ INFO] - Train: 163 [ 50/65 ( 78%)] Loss: 0.023080 (0.0223) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 2.589e-04 P_Replacement: 0.16267962522969032 + +2023-08-09 16:00:51,567 - train: [ INFO] - Train: 163 [ 64/65 (100%)] Loss: 0.031517 (0.0229) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.86/s LR: 2.589e-04 P_Replacement: 0.16332232454073736 + +2023-08-09 16:00:52,616 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 0.6406 (0.6406) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:00:54,217 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.315) Loss: 0.7879 (0.9564) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (77.1264)Acc@5: 90.0000 (90.5747) + +2023-08-09 16:00:55,998 - train: [ INFO] - Train: 164 [ 0/65 ( 0%)] Loss: 0.037061 (0.0371) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.498s, 80.09/s LR: 2.559e-04 P_Replacement: 0.16336829629629626 + +2023-08-09 16:01:31,216 - train: [ INFO] - Train: 164 [ 50/65 ( 78%)] Loss: 0.022090 (0.0226) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.69/s LR: 2.559e-04 P_Replacement: 0.16567789895311785 + +2023-08-09 16:01:41,103 - train: [ INFO] - Train: 164 [ 64/65 (100%)] Loss: 0.053774 (0.0240) Acc@1: 99.1667 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.38/s LR: 2.559e-04 P_Replacement: 0.16632846587757713 + +2023-08-09 16:01:42,156 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 1.3452 (1.3452) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 85.8333 (85.8333) + +2023-08-09 16:01:43,745 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.314) Loss: 0.7122 (0.9393) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (78.8506)Acc@5: 100.0000 (91.2644) + +2023-08-09 16:01:45,491 - train: [ INFO] - Train: 165 [ 0/65 ( 0%)] Loss: 0.023759 (0.0238) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.501s, 79.97/s LR: 2.529e-04 P_Replacement: 0.16637500000000005 + +2023-08-09 16:02:20,820 - train: [ INFO] - Train: 165 [ 50/65 ( 78%)] Loss: 0.021884 (0.0316) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.18/s LR: 2.529e-04 P_Replacement: 0.16871278806116088 + +2023-08-09 16:02:30,659 - train: [ INFO] - Train: 165 [ 64/65 (100%)] Loss: 0.027075 (0.0313) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.14/s LR: 2.529e-04 P_Replacement: 0.16937127046228026 + +2023-08-09 16:02:31,789 - train: [ INFO] - Test: [ 0/7] Time: 0.958 (0.958) Loss: 0.9894 (0.9894) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 87.5000 (87.5000) + +2023-08-09 16:02:33,412 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.323) Loss: 1.1178 (0.9755) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (77.1264)Acc@5: 93.3333 (90.3448) + +2023-08-09 16:02:35,306 - train: [ INFO] - Train: 166 [ 0/65 ( 0%)] Loss: 0.022426 (0.0224) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.590s, 75.45/s LR: 2.499e-04 P_Replacement: 0.16941837037037039 + +2023-08-09 16:03:10,591 - train: [ INFO] - Train: 166 [ 50/65 ( 78%)] Loss: 0.016958 (0.0224) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.97/s LR: 2.499e-04 P_Replacement: 0.1717845147760414 + +2023-08-09 16:03:20,513 - train: [ INFO] - Train: 166 [ 64/65 (100%)] Loss: 0.019449 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.68/s LR: 2.499e-04 P_Replacement: 0.17245096051706874 + +2023-08-09 16:03:21,570 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.8497 (0.8497) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 90.8333 (90.8333) + +2023-08-09 16:03:23,154 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.315) Loss: 0.3820 (0.9408) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (78.5058)Acc@5: 93.3333 (91.0345) + +2023-08-09 16:03:24,969 - train: [ INFO] - Train: 167 [ 0/65 ( 0%)] Loss: 0.018410 (0.0184) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.536s, 78.13/s LR: 2.470e-04 P_Replacement: 0.1724986296296296 + +2023-08-09 16:03:59,952 - train: [ INFO] - Train: 167 [ 50/65 ( 78%)] Loss: 0.019534 (0.0206) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.59/s LR: 2.470e-04 P_Replacement: 0.17489330131998176 + +2023-08-09 16:04:09,803 - train: [ INFO] - Train: 167 [ 64/65 (100%)] Loss: 0.018359 (0.0206) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.713s, 168.22/s LR: 2.470e-04 P_Replacement: 0.1755677582641649 + +2023-08-09 16:04:10,849 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 1.0709 (1.0709) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-09 16:04:12,493 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.321) Loss: 1.1000 (0.9751) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (78.0460)Acc@5: 83.3333 (91.2644) + +2023-08-09 16:04:14,333 - train: [ INFO] - Train: 168 [ 0/65 ( 0%)] Loss: 0.018479 (0.0185) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.557s, 77.09/s LR: 2.440e-04 P_Replacement: 0.17561600000000005 + +2023-08-09 16:04:49,469 - train: [ INFO] - Train: 168 [ 50/65 ( 78%)] Loss: 0.089223 (0.0218) Acc@1: 99.1667 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.80/s LR: 2.440e-04 P_Replacement: 0.17803936991520428 + +2023-08-09 16:04:59,335 - train: [ INFO] - Train: 168 [ 64/65 (100%)] Loss: 0.039351 (0.0235) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.54/s LR: 2.440e-04 P_Replacement: 0.1787218859257911 + +2023-08-09 16:05:00,384 - train: [ INFO] - Test: [ 0/7] Time: 0.900 (0.900) Loss: 0.7426 (0.7426) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:05:02,041 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.320) Loss: 1.0617 (1.0392) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (75.7471)Acc@5: 86.6667 (88.2759) + +2023-08-09 16:05:03,866 - train: [ INFO] - Train: 169 [ 0/65 ( 0%)] Loss: 0.021871 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.527s, 78.59/s LR: 2.410e-04 P_Replacement: 0.1787707037037037 + +2023-08-09 16:05:39,077 - train: [ INFO] - Train: 169 [ 50/65 ( 78%)] Loss: 0.023179 (0.0257) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.60/s LR: 2.410e-04 P_Replacement: 0.18122294278393095 + +2023-08-09 16:05:48,925 - train: [ INFO] - Train: 169 [ 64/65 (100%)] Loss: 0.018450 (0.0244) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.44/s LR: 2.410e-04 P_Replacement: 0.18191356572416933 + +2023-08-09 16:05:50,023 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 0.9923 (0.9923) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 90.8333 (90.8333) + +2023-08-09 16:05:51,593 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.312) Loss: 0.7932 (0.9864) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (76.0920)Acc@5: 96.6667 (90.6897) + +2023-08-09 16:05:53,354 - train: [ INFO] - Train: 170 [ 0/65 ( 0%)] Loss: 0.017585 (0.0176) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.483s, 80.92/s LR: 2.381e-04 P_Replacement: 0.18196296296296294 + +2023-08-09 16:06:28,541 - train: [ INFO] - Train: 170 [ 50/65 ( 78%)] Loss: 0.017625 (0.0193) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.90/s LR: 2.381e-04 P_Replacement: 0.18444424214838415 + +2023-08-09 16:06:38,420 - train: [ INFO] - Train: 170 [ 64/65 (100%)] Loss: 0.016675 (0.0192) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.57/s LR: 2.381e-04 P_Replacement: 0.18514301988152193 + +2023-08-09 16:06:39,470 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 1.4076 (1.4076) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 85.8333 (85.8333) + +2023-08-09 16:06:41,067 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.314) Loss: 0.5500 (0.9555) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (76.7816)Acc@5: 96.6667 (91.2644) + +2023-08-09 16:06:42,976 - train: [ INFO] - Train: 171 [ 0/65 ( 0%)] Loss: 0.016665 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.600s, 74.98/s LR: 2.352e-04 P_Replacement: 0.18519299999999994 + +2023-08-09 16:07:18,066 - train: [ INFO] - Train: 171 [ 50/65 ( 78%)] Loss: 0.014312 (0.0176) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.81/s LR: 2.352e-04 P_Replacement: 0.18770349023078614 + +2023-08-09 16:07:27,960 - train: [ INFO] - Train: 171 [ 64/65 (100%)] Loss: 0.019094 (0.0180) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.45/s LR: 2.352e-04 P_Replacement: 0.1884104706200711 + +2023-08-09 16:07:29,057 - train: [ INFO] - Test: [ 0/7] Time: 0.971 (0.971) Loss: 0.7161 (0.7161) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:07:30,697 - train: [ INFO] - Test: [ 7/7] Time: 0.072 (0.326) Loss: 0.4119 (0.9104) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (78.5058)Acc@5: 96.6667 (92.2989) + +2023-08-09 16:07:32,518 - train: [ INFO] - Train: 172 [ 0/65 ( 0%)] Loss: 0.016614 (0.0166) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.511s, 79.42/s LR: 2.322e-04 P_Replacement: 0.18846103703703707 + +2023-08-09 16:08:07,799 - train: [ INFO] - Train: 172 [ 50/65 ( 78%)] Loss: 0.020290 (0.0201) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.38/s LR: 2.322e-04 P_Replacement: 0.19100090925335897 + +2023-08-09 16:08:17,594 - train: [ INFO] - Train: 172 [ 64/65 (100%)] Loss: 0.016635 (0.0199) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.46/s LR: 2.322e-04 P_Replacement: 0.19171614016203917 + +2023-08-09 16:08:18,637 - train: [ INFO] - Test: [ 0/7] Time: 0.910 (0.910) Loss: 0.7316 (0.7316) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:08:20,325 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.325) Loss: 0.4713 (0.9219) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (78.3908)Acc@5: 100.0000 (92.4138) + +2023-08-09 16:08:22,101 - train: [ INFO] - Train: 173 [ 0/65 ( 0%)] Loss: 0.017346 (0.0173) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.497s, 80.15/s LR: 2.293e-04 P_Replacement: 0.1917672962962963 + +2023-08-09 16:08:57,413 - train: [ INFO] - Train: 173 [ 50/65 ( 78%)] Loss: 0.015317 (0.0180) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.29/s LR: 2.293e-04 P_Replacement: 0.19433672143832498 + +2023-08-09 16:09:07,294 - train: [ INFO] - Train: 173 [ 64/65 (100%)] Loss: 0.015763 (0.0176) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.08/s LR: 2.293e-04 P_Replacement: 0.19506025072964817 + +2023-08-09 16:09:08,340 - train: [ INFO] - Test: [ 0/7] Time: 0.904 (0.904) Loss: 0.7840 (0.7840) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:09:10,032 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.325) Loss: 0.8764 (0.8979) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (78.6207)Acc@5: 86.6667 (91.6092) + +2023-08-09 16:09:11,794 - train: [ INFO] - Train: 174 [ 0/65 ( 0%)] Loss: 0.016576 (0.0166) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.502s, 79.88/s LR: 2.264e-04 P_Replacement: 0.19511199999999995 + +2023-08-09 16:09:47,021 - train: [ INFO] - Train: 174 [ 50/65 ( 78%)] Loss: 0.016609 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.63/s LR: 2.264e-04 P_Replacement: 0.19771114900790634 + +2023-08-09 16:09:56,998 - train: [ INFO] - Train: 174 [ 64/65 (100%)] Loss: 0.016292 (0.0172) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 167.01/s LR: 2.264e-04 P_Replacement: 0.19844302454512042 + +2023-08-09 16:09:58,036 - train: [ INFO] - Test: [ 0/7] Time: 0.928 (0.928) Loss: 0.8547 (0.8547) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 90.0000 (90.0000) + +2023-08-09 16:09:59,674 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.321) Loss: 0.8166 (0.9040) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.2299)Acc@5: 96.6667 (91.1494) + +2023-08-09 16:09:59,970 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-174.pth.tar', 80.22989023142847) + +2023-08-09 16:10:01,453 - train: [ INFO] - Train: 175 [ 0/65 ( 0%)] Loss: 0.017417 (0.0174) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.465s, 81.93/s LR: 2.234e-04 P_Replacement: 0.1984953703703704 + +2023-08-09 16:10:36,566 - train: [ INFO] - Train: 175 [ 50/65 ( 78%)] Loss: 0.017579 (0.0166) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.32/s LR: 2.234e-04 P_Replacement: 0.20112441418432545 + +2023-08-09 16:10:46,503 - train: [ INFO] - Train: 175 [ 64/65 (100%)] Loss: 0.015225 (0.0165) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.70/s LR: 2.234e-04 P_Replacement: 0.20186468383067824 + +2023-08-09 16:10:47,587 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 0.6587 (0.6587) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:10:49,177 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.314) Loss: 0.8583 (0.8991) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (79.3103)Acc@5: 96.6667 (92.1839) + +2023-08-09 16:10:51,071 - train: [ INFO] - Train: 176 [ 0/65 ( 0%)] Loss: 0.016659 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.614s, 74.36/s LR: 2.205e-04 P_Replacement: 0.20191762962962964 + +2023-08-09 16:11:26,232 - train: [ INFO] - Train: 176 [ 50/65 ( 78%)] Loss: 0.014089 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.43/s LR: 2.205e-04 P_Replacement: 0.20457673918980426 + +2023-08-09 16:11:36,107 - train: [ INFO] - Train: 176 [ 64/65 (100%)] Loss: 0.015762 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.21/s LR: 2.205e-04 P_Replacement: 0.20532545080854364 + +2023-08-09 16:11:37,220 - train: [ INFO] - Test: [ 0/7] Time: 0.985 (0.985) Loss: 0.8675 (0.8675) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 90.8333 (90.8333) + +2023-08-09 16:11:38,864 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.329) Loss: 0.9110 (0.9059) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (79.6552)Acc@5: 90.0000 (91.2644) + +2023-08-09 16:11:40,692 - train: [ INFO] - Train: 177 [ 0/65 ( 0%)] Loss: 0.014613 (0.0146) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.553s, 77.25/s LR: 2.176e-04 P_Replacement: 0.20537899999999998 + +2023-08-09 16:12:15,956 - train: [ INFO] - Train: 177 [ 50/65 ( 78%)] Loss: 0.015528 (0.0171) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.24/s LR: 2.176e-04 P_Replacement: 0.20806834624656514 + +2023-08-09 16:12:25,856 - train: [ INFO] - Train: 177 [ 64/65 (100%)] Loss: 0.015053 (0.0172) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.97/s LR: 2.176e-04 P_Replacement: 0.20882554770093895 + +2023-08-09 16:12:26,913 - train: [ INFO] - Test: [ 0/7] Time: 0.952 (0.952) Loss: 1.1325 (1.1325) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 90.8333 (90.8333) + +2023-08-09 16:12:28,646 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.336) Loss: 1.3568 (0.9268) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (78.0460)Acc@5: 80.0000 (91.7241) + +2023-08-09 16:12:30,541 - train: [ INFO] - Train: 178 [ 0/65 ( 0%)] Loss: 0.014205 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.634s, 73.46/s LR: 2.147e-04 P_Replacement: 0.20887970370370376 + +2023-08-09 16:13:05,890 - train: [ INFO] - Train: 178 [ 50/65 ( 78%)] Loss: 0.017273 (0.0165) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.51/s LR: 2.147e-04 P_Replacement: 0.2115994575768304 + +2023-08-09 16:13:15,758 - train: [ INFO] - Train: 178 [ 64/65 (100%)] Loss: 0.017095 (0.0166) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.51/s LR: 2.147e-04 P_Replacement: 0.21236519673008653 + +2023-08-09 16:13:16,880 - train: [ INFO] - Test: [ 0/7] Time: 0.949 (0.949) Loss: 1.1399 (1.1399) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:13:18,524 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.324) Loss: 0.9983 (0.8962) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (79.3103)Acc@5: 90.0000 (92.0690) + +2023-08-09 16:13:20,302 - train: [ INFO] - Train: 179 [ 0/65 ( 0%)] Loss: 0.017986 (0.0180) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.506s, 79.71/s LR: 2.119e-04 P_Replacement: 0.21241996296296298 + +2023-08-09 16:13:55,622 - train: [ INFO] - Train: 179 [ 50/65 ( 78%)] Loss: 0.013851 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.20/s LR: 2.119e-04 P_Replacement: 0.21517029540282204 + +2023-08-09 16:14:05,569 - train: [ INFO] - Train: 179 [ 64/65 (100%)] Loss: 0.014839 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.77/s LR: 2.119e-04 P_Replacement: 0.21594462011820834 + +2023-08-09 16:14:06,682 - train: [ INFO] - Test: [ 0/7] Time: 0.956 (0.956) Loss: 0.9853 (0.9853) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:14:08,336 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.326) Loss: 0.9501 (0.9018) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (78.6207)Acc@5: 90.0000 (92.4138) + +2023-08-09 16:14:10,196 - train: [ INFO] - Train: 180 [ 0/65 ( 0%)] Loss: 0.014019 (0.0140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.596s, 75.17/s LR: 2.090e-04 P_Replacement: 0.21599999999999997 + +2023-08-09 16:14:45,496 - train: [ INFO] - Train: 180 [ 50/65 ( 78%)] Loss: 0.013593 (0.0153) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 2.090e-04 P_Replacement: 0.21878108194676238 + +2023-08-09 16:14:55,386 - train: [ INFO] - Train: 180 [ 64/65 (100%)] Loss: 0.014315 (0.0154) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.75/s LR: 2.090e-04 P_Replacement: 0.21956404008752672 + +2023-08-09 16:14:56,462 - train: [ INFO] - Test: [ 0/7] Time: 0.916 (0.916) Loss: 0.7133 (0.7133) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:14:58,177 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.329) Loss: 0.7599 (0.9218) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (78.2759)Acc@5: 93.3333 (91.9540) + +2023-08-09 16:14:59,996 - train: [ INFO] - Train: 181 [ 0/65 ( 0%)] Loss: 0.015386 (0.0154) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.530s, 78.42/s LR: 2.061e-04 P_Replacement: 0.21962003703703709 + +2023-08-09 16:15:35,264 - train: [ INFO] - Train: 181 [ 50/65 ( 78%)] Loss: 0.014595 (0.0155) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.32/s LR: 2.061e-04 P_Replacement: 0.2224320394308738 + +2023-08-09 16:15:45,078 - train: [ INFO] - Train: 181 [ 64/65 (100%)] Loss: 0.013645 (0.0153) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.35/s LR: 2.061e-04 P_Replacement: 0.22322367886026406 + +2023-08-09 16:15:46,129 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 1.0216 (1.0216) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 89.1667 (89.1667) + +2023-08-09 16:15:47,777 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.321) Loss: 0.4272 (0.8716) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (79.8851)Acc@5: 96.6667 (92.1839) + +2023-08-09 16:15:49,691 - train: [ INFO] - Train: 182 [ 0/65 ( 0%)] Loss: 0.014939 (0.0149) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.623s, 73.94/s LR: 2.033e-04 P_Replacement: 0.2232802962962963 + +2023-08-09 16:16:24,824 - train: [ INFO] - Train: 182 [ 50/65 ( 78%)] Loss: 0.014872 (0.0147) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.52/s LR: 2.033e-04 P_Replacement: 0.22612339007737825 + +2023-08-09 16:16:34,732 - train: [ INFO] - Train: 182 [ 64/65 (100%)] Loss: 0.014165 (0.0147) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.17/s LR: 2.033e-04 P_Replacement: 0.22692375865864228 + +2023-08-09 16:16:35,823 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 0.7331 (0.7331) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:16:37,411 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.316) Loss: 1.7973 (0.8860) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (79.7701)Acc@5: 83.3333 (91.7241) + +2023-08-09 16:16:39,270 - train: [ INFO] - Train: 183 [ 0/65 ( 0%)] Loss: 0.014064 (0.0141) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.569s, 76.48/s LR: 2.004e-04 P_Replacement: 0.226981 + +2023-08-09 16:17:14,547 - train: [ INFO] - Train: 183 [ 50/65 ( 78%)] Loss: 0.014207 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 2.004e-04 P_Replacement: 0.22985535610849808 + +2023-08-09 16:17:24,450 - train: [ INFO] - Train: 183 [ 64/65 (100%)] Loss: 0.013113 (0.0148) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.86/s LR: 2.004e-04 P_Replacement: 0.23066450170488376 + +2023-08-09 16:17:25,554 - train: [ INFO] - Test: [ 0/7] Time: 0.947 (0.947) Loss: 0.8631 (0.8631) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:17:27,186 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.322) Loss: 0.5393 (0.8878) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (78.8506)Acc@5: 96.6667 (91.4943) + +2023-08-09 16:17:29,164 - train: [ INFO] - Train: 184 [ 0/65 ( 0%)] Loss: 0.012752 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.695s, 70.78/s LR: 1.976e-04 P_Replacement: 0.23072237037037033 + +2023-08-09 16:18:04,370 - train: [ INFO] - Train: 184 [ 50/65 ( 78%)] Loss: 0.013961 (0.0140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.86/s LR: 1.976e-04 P_Replacement: 0.23362815974645568 + +2023-08-09 16:18:14,242 - train: [ INFO] - Train: 184 [ 64/65 (100%)] Loss: 0.018852 (0.0146) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.77/s LR: 1.976e-04 P_Replacement: 0.2344461302212107 + +2023-08-09 16:18:15,355 - train: [ INFO] - Test: [ 0/7] Time: 0.978 (0.978) Loss: 0.9400 (0.9400) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 89.1667 (89.1667) + +2023-08-09 16:18:17,127 - train: [ INFO] - Test: [ 7/7] Time: 0.075 (0.344) Loss: 0.8314 (0.9014) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (79.4253)Acc@5: 93.3333 (91.6092) + +2023-08-09 16:18:19,014 - train: [ INFO] - Train: 185 [ 0/65 ( 0%)] Loss: 0.014327 (0.0143) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.598s, 75.10/s LR: 1.948e-04 P_Replacement: 0.23450462962962967 + +2023-08-09 16:18:54,292 - train: [ INFO] - Train: 185 [ 50/65 ( 78%)] Loss: 0.016162 (0.0147) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.97/s LR: 1.948e-04 P_Replacement: 0.23744202321347294 + +2023-08-09 16:19:04,162 - train: [ INFO] - Train: 185 [ 64/65 (100%)] Loss: 0.015692 (0.0149) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.87/s LR: 1.948e-04 P_Replacement: 0.23826886642984543 + +2023-08-09 16:19:05,195 - train: [ INFO] - Test: [ 0/7] Time: 0.900 (0.900) Loss: 0.8296 (0.8296) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:19:06,855 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.320) Loss: 1.3046 (0.8945) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (78.8506)Acc@5: 90.0000 (92.0690) + +2023-08-09 16:19:08,743 - train: [ INFO] - Train: 186 [ 0/65 ( 0%)] Loss: 0.013870 (0.0139) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.607s, 74.67/s LR: 1.920e-04 P_Replacement: 0.23832799999999998 + +2023-08-09 16:19:44,080 - train: [ INFO] - Train: 186 [ 50/65 ( 78%)] Loss: 0.013344 (0.0144) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.67/s LR: 1.920e-04 P_Replacement: 0.24129716873177226 + +2023-08-09 16:19:53,995 - train: [ INFO] - Train: 186 [ 64/65 (100%)] Loss: 0.014604 (0.0144) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.47/s LR: 1.920e-04 P_Replacement: 0.24213293255301 + +2023-08-09 16:19:55,048 - train: [ INFO] - Test: [ 0/7] Time: 0.910 (0.910) Loss: 1.0315 (1.0315) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 89.1667 (89.1667) + +2023-08-09 16:19:56,689 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.319) Loss: 0.8540 (0.9028) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (78.6207)Acc@5: 96.6667 (92.4138) + +2023-08-09 16:19:58,560 - train: [ INFO] - Train: 187 [ 0/65 ( 0%)] Loss: 0.014400 (0.0144) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.583s, 75.81/s LR: 1.892e-04 P_Replacement: 0.24219270370370366 + +2023-08-09 16:20:33,731 - train: [ INFO] - Train: 187 [ 50/65 ( 78%)] Loss: 0.013469 (0.0140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.55/s LR: 1.892e-04 P_Replacement: 0.24519381852357586 + +2023-08-09 16:20:43,640 - train: [ INFO] - Train: 187 [ 64/65 (100%)] Loss: 0.012986 (0.0139) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.18/s LR: 1.892e-04 P_Replacement: 0.24603855081292667 + +2023-08-09 16:20:44,682 - train: [ INFO] - Test: [ 0/7] Time: 0.915 (0.915) Loss: 0.9693 (0.9693) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 88.3333 (88.3333) + +2023-08-09 16:20:46,377 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.326) Loss: 1.4138 (0.8854) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (78.6207)Acc@5: 90.0000 (91.8391) + +2023-08-09 16:20:48,198 - train: [ INFO] - Train: 188 [ 0/65 ( 0%)] Loss: 0.017669 (0.0177) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.530s, 78.45/s LR: 1.864e-04 P_Replacement: 0.24609896296296302 + +2023-08-09 16:21:23,372 - train: [ INFO] - Train: 188 [ 50/65 ( 78%)] Loss: 0.013268 (0.0140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.75/s LR: 1.864e-04 P_Replacement: 0.2491321948111061 + +2023-08-09 16:21:33,271 - train: [ INFO] - Train: 188 [ 64/65 (100%)] Loss: 0.015547 (0.0141) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.38/s LR: 1.864e-04 P_Replacement: 0.24998594343181785 + +2023-08-09 16:21:34,352 - train: [ INFO] - Test: [ 0/7] Time: 0.931 (0.931) Loss: 0.9540 (0.9540) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:21:35,979 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.320) Loss: 1.0457 (0.8848) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (79.0805)Acc@5: 83.3333 (92.7586) + +2023-08-09 16:21:37,704 - train: [ INFO] - Train: 189 [ 0/65 ( 0%)] Loss: 0.012609 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.19/s LR: 1.836e-04 P_Replacement: 0.250047 + +2023-08-09 16:22:12,983 - train: [ INFO] - Train: 189 [ 50/65 ( 78%)] Loss: 0.014891 (0.0165) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.44/s LR: 1.836e-04 P_Replacement: 0.2531125198165849 + +2023-08-09 16:22:22,893 - train: [ INFO] - Train: 189 [ 64/65 (100%)] Loss: 0.014402 (0.0163) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.10/s LR: 1.836e-04 P_Replacement: 0.25397533263190547 + +2023-08-09 16:22:23,912 - train: [ INFO] - Test: [ 0/7] Time: 0.898 (0.898) Loss: 0.5764 (0.5764) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:22:25,582 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.321) Loss: 1.0980 (0.8451) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (80.0000)Acc@5: 86.6667 (92.2989) + +2023-08-09 16:22:27,419 - train: [ INFO] - Train: 190 [ 0/65 ( 0%)] Loss: 0.014430 (0.0144) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.540s, 77.91/s LR: 1.808e-04 P_Replacement: 0.254037037037037 + +2023-08-09 16:23:02,705 - train: [ INFO] - Train: 190 [ 50/65 ( 78%)] Loss: 0.013563 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.20/s LR: 1.808e-04 P_Replacement: 0.25713501576223463 + +2023-08-09 16:23:12,602 - train: [ INFO] - Train: 190 [ 64/65 (100%)] Loss: 0.012844 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.95/s LR: 1.808e-04 P_Replacement: 0.2580069406354119 + +2023-08-09 16:23:13,647 - train: [ INFO] - Test: [ 0/7] Time: 0.934 (0.934) Loss: 0.9262 (0.9262) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:23:15,222 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.314) Loss: 1.3200 (0.8613) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (80.2299)Acc@5: 83.3333 (91.9540) + +2023-08-09 16:23:15,503 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-190.pth.tar', 80.22989049451104) + +2023-08-09 16:23:17,093 - train: [ INFO] - Train: 191 [ 0/65 ( 0%)] Loss: 0.012817 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.569s, 76.46/s LR: 1.781e-04 P_Replacement: 0.2580692962962964 + +2023-08-09 16:23:52,487 - train: [ INFO] - Train: 191 [ 50/65 ( 78%)] Loss: 0.012966 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.58/s LR: 1.781e-04 P_Replacement: 0.2611999048702777 + +2023-08-09 16:24:02,316 - train: [ INFO] - Train: 191 [ 64/65 (100%)] Loss: 0.012910 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.70/s LR: 1.781e-04 P_Replacement: 0.26208098966455945 + +2023-08-09 16:24:03,389 - train: [ INFO] - Test: [ 0/7] Time: 0.951 (0.951) Loss: 0.7863 (0.7863) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:24:04,985 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.318) Loss: 1.2779 (0.8820) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (79.5402)Acc@5: 90.0000 (92.0690) + +2023-08-09 16:24:06,859 - train: [ INFO] - Train: 192 [ 0/65 ( 0%)] Loss: 0.013375 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.622s, 73.96/s LR: 1.754e-04 P_Replacement: 0.26214400000000004 + +2023-08-09 16:24:42,136 - train: [ INFO] - Train: 192 [ 50/65 ( 78%)] Loss: 0.014609 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.87/s LR: 1.754e-04 P_Replacement: 0.265307409362936 + +2023-08-09 16:24:51,964 - train: [ INFO] - Train: 192 [ 64/65 (100%)] Loss: 0.015652 (0.0135) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.94/s LR: 1.754e-04 P_Replacement: 0.26619770194157016 + +2023-08-09 16:24:53,018 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.7991 (0.7991) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:24:54,638 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.320) Loss: 1.0674 (0.8774) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (79.7701)Acc@5: 93.3333 (91.9540) + +2023-08-09 16:24:56,440 - train: [ INFO] - Train: 193 [ 0/65 ( 0%)] Loss: 0.013347 (0.0133) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.521s, 78.87/s LR: 1.726e-04 P_Replacement: 0.26626137037037034 + +2023-08-09 16:25:31,725 - train: [ INFO] - Train: 193 [ 50/65 ( 78%)] Loss: 0.013243 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.29/s LR: 1.726e-04 P_Replacement: 0.2694577514624319 + +2023-08-09 16:25:41,668 - train: [ INFO] - Train: 193 [ 64/65 (100%)] Loss: 0.014879 (0.0135) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.86/s LR: 1.726e-04 P_Replacement: 0.27035729968866634 + +2023-08-09 16:25:42,741 - train: [ INFO] - Test: [ 0/7] Time: 0.947 (0.947) Loss: 1.0251 (1.0251) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 90.0000 (90.0000) + +2023-08-09 16:25:44,385 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.324) Loss: 0.8416 (0.8671) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (80.3448)Acc@5: 90.0000 (92.9885) + +2023-08-09 16:25:44,659 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-193.pth.tar', 80.34483258477573) + +2023-08-09 16:25:46,186 - train: [ INFO] - Train: 194 [ 0/65 ( 0%)] Loss: 0.013130 (0.0131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.508s, 79.58/s LR: 1.699e-04 P_Replacement: 0.27042162962962957 + +2023-08-09 16:26:21,409 - train: [ INFO] - Train: 194 [ 50/65 ( 78%)] Loss: 0.012145 (0.0133) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.63/s LR: 1.699e-04 P_Replacement: 0.2736511533909878 + +2023-08-09 16:26:31,412 - train: [ INFO] - Train: 194 [ 64/65 (100%)] Loss: 0.014154 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.92/s LR: 1.699e-04 P_Replacement: 0.27456000512807033 + +2023-08-09 16:26:32,511 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 0.8591 (0.8591) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 89.1667 (89.1667) + +2023-08-09 16:26:34,231 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.330) Loss: 0.6925 (0.8635) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (80.4598)Acc@5: 96.6667 (92.5287) + +2023-08-09 16:26:34,497 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-194.pth.tar', 80.45977625353584) + +2023-08-09 16:26:36,104 - train: [ INFO] - Train: 195 [ 0/65 ( 0%)] Loss: 0.012409 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.585s, 75.72/s LR: 1.672e-04 P_Replacement: 0.274625 + +2023-08-09 16:27:11,509 - train: [ INFO] - Train: 195 [ 50/65 ( 78%)] Loss: 0.015569 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.48/s LR: 1.672e-04 P_Replacement: 0.27788783737082556 + +2023-08-09 16:27:21,417 - train: [ INFO] - Train: 195 [ 64/65 (100%)] Loss: 0.013355 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.35/s LR: 1.672e-04 P_Replacement: 0.2788060404820041 + +2023-08-09 16:27:22,513 - train: [ INFO] - Test: [ 0/7] Time: 0.977 (0.977) Loss: 0.5476 (0.5476) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:27:24,178 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.330) Loss: 1.5376 (0.8699) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (79.8851)Acc@5: 90.0000 (92.0690) + +2023-08-09 16:27:26,047 - train: [ INFO] - Train: 196 [ 0/65 ( 0%)] Loss: 0.013307 (0.0133) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.598s, 75.09/s LR: 1.646e-04 P_Replacement: 0.2788717037037037 + +2023-08-09 16:28:01,448 - train: [ INFO] - Train: 196 [ 50/65 ( 78%)] Loss: 0.012193 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.45/s LR: 1.646e-04 P_Replacement: 0.2821680256241676 + +2023-08-09 16:28:11,334 - train: [ INFO] - Train: 196 [ 64/65 (100%)] Loss: 0.012695 (0.0131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.40/s LR: 1.646e-04 P_Replacement: 0.28309562797269 + +2023-08-09 16:28:12,426 - train: [ INFO] - Test: [ 0/7] Time: 0.935 (0.935) Loss: 0.7859 (0.7859) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:28:14,119 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.329) Loss: 1.2281 (0.8483) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (80.0000)Acc@5: 90.0000 (92.6437) + +2023-08-09 16:28:15,999 - train: [ INFO] - Train: 197 [ 0/65 ( 0%)] Loss: 0.012763 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.618s, 74.17/s LR: 1.619e-04 P_Replacement: 0.2831619629629629 + +2023-08-09 16:28:51,488 - train: [ INFO] - Train: 197 [ 50/65 ( 78%)] Loss: 0.014796 (0.0166) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.96/s LR: 1.619e-04 P_Replacement: 0.28649194037323616 + +2023-08-09 16:29:01,436 - train: [ INFO] - Train: 197 [ 64/65 (100%)] Loss: 0.014331 (0.0163) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.79/s LR: 1.619e-04 P_Replacement: 0.28742898982235027 + +2023-08-09 16:29:02,495 - train: [ INFO] - Test: [ 0/7] Time: 0.906 (0.906) Loss: 1.0921 (1.0921) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 88.3333 (88.3333) + +2023-08-09 16:29:04,094 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.313) Loss: 0.9930 (0.8882) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (78.9655)Acc@5: 93.3333 (91.6092) + +2023-08-09 16:29:05,935 - train: [ INFO] - Train: 198 [ 0/65 ( 0%)] Loss: 0.014276 (0.0143) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.596s, 75.18/s LR: 1.592e-04 P_Replacement: 0.28749600000000003 + +2023-08-09 16:29:41,355 - train: [ INFO] - Train: 198 [ 50/65 ( 78%)] Loss: 0.013061 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.34/s LR: 1.592e-04 P_Replacement: 0.29085980384025356 + +2023-08-09 16:29:51,248 - train: [ INFO] - Train: 198 [ 64/65 (100%)] Loss: 0.015681 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.28/s LR: 1.592e-04 P_Replacement: 0.2918063482532073 + +2023-08-09 16:29:52,364 - train: [ INFO] - Test: [ 0/7] Time: 0.968 (0.968) Loss: 0.8666 (0.8666) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:29:54,031 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.329) Loss: 1.1164 (0.8237) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (80.6897)Acc@5: 90.0000 (92.1839) + +2023-08-09 16:29:54,296 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-198.pth.tar', 80.68965990790005) + +2023-08-09 16:29:55,874 - train: [ INFO] - Train: 199 [ 0/65 ( 0%)] Loss: 0.013464 (0.0135) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.565s, 76.69/s LR: 1.566e-04 P_Replacement: 0.291874037037037 + +2023-08-09 16:30:31,200 - train: [ INFO] - Train: 199 [ 50/65 ( 78%)] Loss: 0.016154 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 1.566e-04 P_Replacement: 0.2952718382474418 + +2023-08-09 16:30:41,161 - train: [ INFO] - Train: 199 [ 64/65 (100%)] Loss: 0.012497 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.49/s LR: 1.566e-04 P_Replacement: 0.29622792548748295 + +2023-08-09 16:30:42,182 - train: [ INFO] - Test: [ 0/7] Time: 0.900 (0.900) Loss: 0.7914 (0.7914) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 91.6667 (91.6667) + +2023-08-09 16:30:43,844 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.320) Loss: 1.2382 (0.8656) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (80.0000)Acc@5: 93.3333 (91.7241) + +2023-08-09 16:30:45,621 - train: [ INFO] - Train: 200 [ 0/65 ( 0%)] Loss: 0.017396 (0.0174) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.520s, 78.94/s LR: 1.540e-04 P_Replacement: 0.2962962962962962 + +2023-08-09 16:31:20,879 - train: [ INFO] - Train: 200 [ 50/65 ( 78%)] Loss: 0.012674 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.41/s LR: 1.540e-04 P_Replacement: 0.29972826581702317 + +2023-08-09 16:31:30,845 - train: [ INFO] - Train: 200 [ 64/65 (100%)] Loss: 0.012983 (0.0131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.88/s LR: 1.540e-04 P_Replacement: 0.3006939437473996 + +2023-08-09 16:31:31,915 - train: [ INFO] - Test: [ 0/7] Time: 0.919 (0.919) Loss: 0.8030 (0.8030) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 91.6667 (91.6667) + +2023-08-09 16:31:33,553 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.320) Loss: 0.8684 (0.8754) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (79.8851)Acc@5: 96.6667 (92.1839) + +2023-08-09 16:31:35,432 - train: [ INFO] - Train: 201 [ 0/65 ( 0%)] Loss: 0.014190 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.623s, 73.95/s LR: 1.514e-04 P_Replacement: 0.30076300000000006 + +2023-08-09 16:32:10,885 - train: [ INFO] - Train: 201 [ 50/65 ( 78%)] Loss: 0.012169 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.08/s LR: 1.514e-04 P_Replacement: 0.30422930877122006 + +2023-08-09 16:32:20,852 - train: [ INFO] - Train: 201 [ 64/65 (100%)] Loss: 0.012279 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.82/s LR: 1.514e-04 P_Replacement: 0.30520462525517966 + +2023-08-09 16:32:21,883 - train: [ INFO] - Test: [ 0/7] Time: 0.887 (0.887) Loss: 0.8663 (0.8663) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 91.6667 (91.6667) + +2023-08-09 16:32:23,540 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.318) Loss: 1.2397 (0.8327) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (80.4598)Acc@5: 83.3333 (92.2989) + +2023-08-09 16:32:25,455 - train: [ INFO] - Train: 202 [ 0/65 ( 0%)] Loss: 0.012320 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.623s, 73.94/s LR: 1.488e-04 P_Replacement: 0.30527437037037036 + +2023-08-09 16:33:00,823 - train: [ INFO] - Train: 202 [ 50/65 ( 78%)] Loss: 0.014818 (0.0133) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.45/s LR: 1.488e-04 P_Replacement: 0.3087751893322544 + +2023-08-09 16:33:10,767 - train: [ INFO] - Train: 202 [ 64/65 (100%)] Loss: 0.012855 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.20/s LR: 1.488e-04 P_Replacement: 0.3097601922330451 + +2023-08-09 16:33:11,906 - train: [ INFO] - Test: [ 0/7] Time: 0.980 (0.980) Loss: 0.7560 (0.7560) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:33:13,614 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.336) Loss: 0.4322 (0.8707) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (79.1954)Acc@5: 100.0000 (92.1839) + +2023-08-09 16:33:15,358 - train: [ INFO] - Train: 203 [ 0/65 ( 0%)] Loss: 0.016220 (0.0162) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.483s, 80.93/s LR: 1.462e-04 P_Replacement: 0.3098306296296296 + +2023-08-09 16:33:50,801 - train: [ INFO] - Train: 203 [ 50/65 ( 78%)] Loss: 0.014137 (0.0137) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.74/s LR: 1.462e-04 P_Replacement: 0.3133661297223486 + +2023-08-09 16:34:00,751 - train: [ INFO] - Train: 203 [ 64/65 (100%)] Loss: 0.013205 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.41/s LR: 1.462e-04 P_Replacement: 0.31436086690321813 + +2023-08-09 16:34:01,814 - train: [ INFO] - Test: [ 0/7] Time: 0.886 (0.886) Loss: 0.8588 (0.8588) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:34:03,446 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.315) Loss: 0.1626 (0.8415) cLoss: 0.0000 (0.0000) Acc@1: 100.0000 (80.5747)Acc@5: 100.0000 (92.5287) + +2023-08-09 16:34:05,251 - train: [ INFO] - Train: 204 [ 0/65 ( 0%)] Loss: 0.012826 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.555s, 77.18/s LR: 1.437e-04 P_Replacement: 0.31443200000000004 + +2023-08-09 16:34:40,746 - train: [ INFO] - Train: 204 [ 50/65 ( 78%)] Loss: 0.013538 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.19/s LR: 1.437e-04 P_Replacement: 0.318002352163725 + +2023-08-09 16:34:50,690 - train: [ INFO] - Train: 204 [ 64/65 (100%)] Loss: 0.011556 (0.0129) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.99/s LR: 1.437e-04 P_Replacement: 0.3190068714879213 + +2023-08-09 16:34:51,824 - train: [ INFO] - Test: [ 0/7] Time: 0.968 (0.968) Loss: 0.6612 (0.6612) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:34:53,485 - train: [ INFO] - Test: [ 7/7] Time: 0.076 (0.329) Loss: 0.5458 (0.8457) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (80.8046)Acc@5: 96.6667 (92.5287) + +2023-08-09 16:34:53,760 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-204.pth.tar', 80.80460252432988) + +2023-08-09 16:34:55,403 - train: [ INFO] - Train: 205 [ 0/65 ( 0%)] Loss: 0.012647 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.623s, 73.96/s LR: 1.411e-04 P_Replacement: 0.3190787037037037 + +2023-08-09 16:35:30,778 - train: [ INFO] - Train: 205 [ 50/65 ( 78%)] Loss: 0.011888 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.42/s LR: 1.411e-04 P_Replacement: 0.3226840788786055 + +2023-08-09 16:35:40,712 - train: [ INFO] - Train: 205 [ 64/65 (100%)] Loss: 0.011807 (0.0129) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.21/s LR: 1.411e-04 P_Replacement: 0.32369842820937644 + +2023-08-09 16:35:41,775 - train: [ INFO] - Test: [ 0/7] Time: 0.917 (0.917) Loss: 0.8684 (0.8684) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:35:43,418 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.320) Loss: 0.4747 (0.8337) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (80.5747)Acc@5: 100.0000 (92.9885) + +2023-08-09 16:35:45,326 - train: [ INFO] - Train: 206 [ 0/65 ( 0%)] Loss: 0.012468 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.662s, 72.19/s LR: 1.386e-04 P_Replacement: 0.3237709629629629 + +2023-08-09 16:36:20,530 - train: [ INFO] - Train: 206 [ 50/65 ( 78%)] Loss: 0.012347 (0.0129) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.02/s LR: 1.386e-04 P_Replacement: 0.32741153208921253 + +2023-08-09 16:36:30,474 - train: [ INFO] - Train: 206 [ 64/65 (100%)] Loss: 0.011599 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.64/s LR: 1.386e-04 P_Replacement: 0.32843575928980595 + +2023-08-09 16:36:31,567 - train: [ INFO] - Test: [ 0/7] Time: 0.949 (0.949) Loss: 0.9905 (0.9905) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 90.0000 (90.0000) + +2023-08-09 16:36:33,219 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.325) Loss: 1.0310 (0.8445) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (80.5747)Acc@5: 90.0000 (92.1839) + +2023-08-09 16:36:35,060 - train: [ INFO] - Train: 207 [ 0/65 ( 0%)] Loss: 0.012502 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.590s, 75.46/s LR: 1.361e-04 P_Replacement: 0.32850899999999994 + +2023-08-09 16:37:10,406 - train: [ INFO] - Train: 207 [ 50/65 ( 78%)] Loss: 0.011384 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.70/s LR: 1.361e-04 P_Replacement: 0.3321849340177684 + +2023-08-09 16:37:20,358 - train: [ INFO] - Train: 207 [ 64/65 (100%)] Loss: 0.011452 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 1.361e-04 P_Replacement: 0.33321908695143215 + +2023-08-09 16:37:21,433 - train: [ INFO] - Test: [ 0/7] Time: 0.948 (0.948) Loss: 0.7804 (0.7804) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:37:23,104 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.327) Loss: 1.0983 (0.8582) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (80.0000)Acc@5: 86.6667 (92.8736) + +2023-08-09 16:37:24,985 - train: [ INFO] - Train: 208 [ 0/65 ( 0%)] Loss: 0.013024 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.607s, 74.67/s LR: 1.336e-04 P_Replacement: 0.33329303703703705 + +2023-08-09 16:38:00,279 - train: [ INFO] - Train: 208 [ 50/65 ( 78%)] Loss: 0.011899 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.86/s LR: 1.336e-04 P_Replacement: 0.3370045068864951 + +2023-08-09 16:38:10,195 - train: [ INFO] - Train: 208 [ 64/65 (100%)] Loss: 0.013406 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.61/s LR: 1.336e-04 P_Replacement: 0.33804863341647706 + +2023-08-09 16:38:11,274 - train: [ INFO] - Test: [ 0/7] Time: 0.945 (0.945) Loss: 1.0823 (1.0823) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 90.0000 (90.0000) + +2023-08-09 16:38:12,948 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.327) Loss: 0.5360 (0.8499) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (79.7701)Acc@5: 96.6667 (92.5287) + +2023-08-09 16:38:14,859 - train: [ INFO] - Train: 209 [ 0/65 ( 0%)] Loss: 0.012583 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.599s, 75.04/s LR: 1.312e-04 P_Replacement: 0.3381232962962963 + +2023-08-09 16:38:50,329 - train: [ INFO] - Train: 209 [ 50/65 ( 78%)] Loss: 0.012116 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.11/s LR: 1.312e-04 P_Replacement: 0.3418704729176149 + +2023-08-09 16:39:00,224 - train: [ INFO] - Train: 209 [ 64/65 (100%)] Loss: 0.013413 (0.0131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.10/s LR: 1.312e-04 P_Replacement: 0.34292462090716297 + +2023-08-09 16:39:01,278 - train: [ INFO] - Test: [ 0/7] Time: 0.922 (0.922) Loss: 0.9303 (0.9303) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 90.8333 (90.8333) + +2023-08-09 16:39:02,976 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.328) Loss: 1.1450 (0.8318) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.9540)Acc@5: 86.6667 (92.7586) + +2023-08-09 16:39:03,232 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-209.pth.tar', 81.95402737321525) + +2023-08-09 16:39:04,868 - train: [ INFO] - Train: 210 [ 0/65 ( 0%)] Loss: 0.013815 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.620s, 74.07/s LR: 1.287e-04 P_Replacement: 0.3429999999999999 + +2023-08-09 16:39:40,299 - train: [ INFO] - Train: 210 [ 50/65 ( 78%)] Loss: 0.012336 (0.0131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.18/s LR: 1.287e-04 P_Replacement: 0.3467830543333501 + +2023-08-09 16:39:50,257 - train: [ INFO] - Train: 210 [ 64/65 (100%)] Loss: 0.012084 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 1.287e-04 P_Replacement: 0.3478472716457121 + +2023-08-09 16:39:51,362 - train: [ INFO] - Test: [ 0/7] Time: 0.958 (0.958) Loss: 0.7474 (0.7474) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:39:53,030 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.328) Loss: 0.7400 (0.8322) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (80.9195)Acc@5: 96.6667 (93.2184) + +2023-08-09 16:39:54,872 - train: [ INFO] - Train: 211 [ 0/65 ( 0%)] Loss: 0.013549 (0.0135) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.586s, 75.68/s LR: 1.263e-04 P_Replacement: 0.3479233703703704 + +2023-08-09 16:40:30,248 - train: [ INFO] - Train: 211 [ 50/65 ( 78%)] Loss: 0.012109 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.59/s LR: 1.263e-04 P_Replacement: 0.35174247335592307 + +2023-08-09 16:40:40,187 - train: [ INFO] - Train: 211 [ 64/65 (100%)] Loss: 0.011709 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.32/s LR: 1.263e-04 P_Replacement: 0.3528168078543469 + +2023-08-09 16:40:41,270 - train: [ INFO] - Test: [ 0/7] Time: 0.933 (0.933) Loss: 0.8232 (0.8232) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 90.0000 (90.0000) + +2023-08-09 16:40:42,900 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.321) Loss: 0.8350 (0.8375) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (80.5747)Acc@5: 86.6667 (92.4138) + +2023-08-09 16:40:44,801 - train: [ INFO] - Train: 212 [ 0/65 ( 0%)] Loss: 0.011811 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.598s, 75.10/s LR: 1.239e-04 P_Replacement: 0.3528936296296296 + +2023-08-09 16:41:20,099 - train: [ INFO] - Train: 212 [ 50/65 ( 78%)] Loss: 0.011465 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.88/s LR: 1.239e-04 P_Replacement: 0.35674895220755576 + +2023-08-09 16:41:30,009 - train: [ INFO] - Train: 212 [ 64/65 (100%)] Loss: 0.011847 (0.0129) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.66/s LR: 1.239e-04 P_Replacement: 0.3578334517552892 + +2023-08-09 16:41:31,089 - train: [ INFO] - Test: [ 0/7] Time: 0.930 (0.930) Loss: 0.6579 (0.6579) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:41:32,745 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.323) Loss: 1.3333 (0.8383) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (80.0000)Acc@5: 83.3333 (93.1035) + +2023-08-09 16:41:34,594 - train: [ INFO] - Train: 213 [ 0/65 ( 0%)] Loss: 0.011752 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.587s, 75.60/s LR: 1.215e-04 P_Replacement: 0.3579109999999999 + +2023-08-09 16:42:09,673 - train: [ INFO] - Train: 213 [ 50/65 ( 78%)] Loss: 0.012586 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.92/s LR: 1.215e-04 P_Replacement: 0.36180271311047046 + +2023-08-09 16:42:19,540 - train: [ INFO] - Train: 213 [ 64/65 (100%)] Loss: 0.011965 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.716s, 167.63/s LR: 1.215e-04 P_Replacement: 0.36289742557076143 + +2023-08-09 16:42:20,641 - train: [ INFO] - Test: [ 0/7] Time: 0.953 (0.953) Loss: 0.6960 (0.6960) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:42:22,272 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.323) Loss: 0.8021 (0.8308) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.0345)Acc@5: 96.6667 (93.3333) + +2023-08-09 16:42:24,198 - train: [ INFO] - Train: 214 [ 0/65 ( 0%)] Loss: 0.011208 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.614s, 74.35/s LR: 1.191e-04 P_Replacement: 0.36297570370370374 + +2023-08-09 16:42:59,417 - train: [ INFO] - Train: 214 [ 50/65 ( 78%)] Loss: 0.013721 (0.0122) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.16/s LR: 1.191e-04 P_Replacement: 0.3669039782868896 + +2023-08-09 16:43:09,351 - train: [ INFO] - Train: 214 [ 64/65 (100%)] Loss: 0.012463 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.79/s LR: 1.191e-04 P_Replacement: 0.36800895152298596 + +2023-08-09 16:43:10,381 - train: [ INFO] - Test: [ 0/7] Time: 0.883 (0.883) Loss: 0.6962 (0.6962) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:43:11,936 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.305) Loss: 0.4465 (0.8282) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (80.9195)Acc@5: 100.0000 (92.4138) + +2023-08-09 16:43:13,714 - train: [ INFO] - Train: 215 [ 0/65 ( 0%)] Loss: 0.011904 (0.0119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.488s, 80.66/s LR: 1.167e-04 P_Replacement: 0.368087962962963 + +2023-08-09 16:43:49,071 - train: [ INFO] - Train: 215 [ 50/65 ( 78%)] Loss: 0.012571 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.12/s LR: 1.167e-04 P_Replacement: 0.37205296995903503 + +2023-08-09 16:43:58,959 - train: [ INFO] - Train: 215 [ 64/65 (100%)] Loss: 0.012466 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.92/s LR: 1.167e-04 P_Replacement: 0.37316825183418467 + +2023-08-09 16:44:00,021 - train: [ INFO] - Test: [ 0/7] Time: 0.920 (0.920) Loss: 0.8115 (0.8115) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 90.8333 (90.8333) + +2023-08-09 16:44:01,742 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.330) Loss: 1.2809 (0.8173) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (80.5747)Acc@5: 90.0000 (93.1035) + +2023-08-09 16:44:03,641 - train: [ INFO] - Train: 216 [ 0/65 ( 0%)] Loss: 0.011695 (0.0117) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.633s, 73.50/s LR: 1.144e-04 P_Replacement: 0.37324799999999997 + +2023-08-09 16:44:39,092 - train: [ INFO] - Train: 216 [ 50/65 ( 78%)] Loss: 0.012918 (0.0122) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.04/s LR: 1.144e-04 P_Replacement: 0.37724991034912925 + +2023-08-09 16:44:49,006 - train: [ INFO] - Train: 216 [ 64/65 (100%)] Loss: 0.011605 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.97/s LR: 1.144e-04 P_Replacement: 0.37837554872657997 + +2023-08-09 16:44:50,097 - train: [ INFO] - Test: [ 0/7] Time: 0.938 (0.938) Loss: 0.7334 (0.7334) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:44:51,737 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.322) Loss: 1.0473 (0.8251) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (80.8046)Acc@5: 86.6667 (92.7586) + +2023-08-09 16:44:53,612 - train: [ INFO] - Train: 217 [ 0/65 ( 0%)] Loss: 0.012060 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.606s, 74.74/s LR: 1.121e-04 P_Replacement: 0.3784560370370371 + +2023-08-09 16:45:28,751 - train: [ INFO] - Train: 217 [ 50/65 ( 78%)] Loss: 0.011705 (0.0122) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.57/s LR: 1.121e-04 P_Replacement: 0.38249502167939453 + +2023-08-09 16:45:38,598 - train: [ INFO] - Train: 217 [ 64/65 (100%)] Loss: 0.011428 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.42/s LR: 1.121e-04 P_Replacement: 0.38363106442239425 + +2023-08-09 16:45:39,680 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 0.8445 (0.8445) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:45:41,275 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.315) Loss: 1.0147 (0.8202) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (80.4598)Acc@5: 96.6667 (93.1035) + +2023-08-09 16:45:43,151 - train: [ INFO] - Train: 218 [ 0/65 ( 0%)] Loss: 0.011248 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.581s, 75.91/s LR: 1.098e-04 P_Replacement: 0.38371229629629633 + +2023-08-09 16:46:18,522 - train: [ INFO] - Train: 218 [ 50/65 ( 78%)] Loss: 0.014280 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.63/s LR: 1.098e-04 P_Replacement: 0.3877885261720528 + +2023-08-09 16:46:28,495 - train: [ INFO] - Train: 218 [ 64/65 (100%)] Loss: 0.011312 (0.0120) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.24/s LR: 1.098e-04 P_Replacement: 0.38893502114384937 + +2023-08-09 16:46:29,595 - train: [ INFO] - Test: [ 0/7] Time: 0.952 (0.952) Loss: 0.6757 (0.6757) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:46:31,237 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.324) Loss: 1.3054 (0.8269) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (81.2644)Acc@5: 83.3333 (92.9885) + +2023-08-09 16:46:33,149 - train: [ INFO] - Train: 219 [ 0/65 ( 0%)] Loss: 0.012235 (0.0122) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.621s, 74.03/s LR: 1.075e-04 P_Replacement: 0.38901699999999995 + +2023-08-09 16:47:08,530 - train: [ INFO] - Train: 219 [ 50/65 ( 78%)] Loss: 0.012596 (0.0122) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.41/s LR: 1.075e-04 P_Replacement: 0.39313064604932646 + +2023-08-09 16:47:18,506 - train: [ INFO] - Train: 219 [ 64/65 (100%)] Loss: 0.011974 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 1.075e-04 P_Replacement: 0.3942876411131678 + +2023-08-09 16:47:19,562 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 0.8506 (0.8506) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 91.6667 (91.6667) + +2023-08-09 16:47:21,174 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.317) Loss: 0.8173 (0.8478) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.1494)Acc@5: 93.3333 (92.2989) + +2023-08-09 16:47:23,056 - train: [ INFO] - Train: 220 [ 0/65 ( 0%)] Loss: 0.012531 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.587s, 75.60/s LR: 1.053e-04 P_Replacement: 0.39437037037037026 + +2023-08-09 16:47:58,338 - train: [ INFO] - Train: 220 [ 50/65 ( 78%)] Loss: 0.012337 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.00/s LR: 1.053e-04 P_Replacement: 0.3985216035334379 + +2023-08-09 16:48:08,216 - train: [ INFO] - Train: 220 [ 64/65 (100%)] Loss: 0.011700 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.86/s LR: 1.053e-04 P_Replacement: 0.3996891465525716 + +2023-08-09 16:48:09,298 - train: [ INFO] - Test: [ 0/7] Time: 0.935 (0.935) Loss: 0.7614 (0.7614) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:48:10,918 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.319) Loss: 0.5231 (0.8023) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.9540)Acc@5: 96.6667 (92.7586) + +2023-08-09 16:48:11,190 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-220.pth.tar', 81.9540286886281) + +2023-08-09 16:48:12,810 - train: [ INFO] - Train: 221 [ 0/65 ( 0%)] Loss: 0.012487 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.602s, 74.89/s LR: 1.030e-04 P_Replacement: 0.39977262962962967 + +2023-08-09 16:48:48,328 - train: [ INFO] - Train: 221 [ 50/65 ( 78%)] Loss: 0.011641 (0.0119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.88/s LR: 1.030e-04 P_Replacement: 0.403961620846609 + +2023-08-09 16:48:58,288 - train: [ INFO] - Train: 221 [ 64/65 (100%)] Loss: 0.011712 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.68/s LR: 1.030e-04 P_Replacement: 0.40513975968428334 + +2023-08-09 16:48:59,398 - train: [ INFO] - Test: [ 0/7] Time: 0.952 (0.952) Loss: 0.6969 (0.6969) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:49:01,014 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.321) Loss: 0.6178 (0.8335) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.2644)Acc@5: 96.6667 (92.2989) + +2023-08-09 16:49:02,852 - train: [ INFO] - Train: 222 [ 0/65 ( 0%)] Loss: 0.011337 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.587s, 75.60/s LR: 1.008e-04 P_Replacement: 0.405224 + +2023-08-09 16:49:38,182 - train: [ INFO] - Train: 222 [ 50/65 ( 78%)] Loss: 0.011598 (0.0119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.79/s LR: 1.008e-04 P_Replacement: 0.4094509202110622 + +2023-08-09 16:49:48,052 - train: [ INFO] - Train: 222 [ 64/65 (100%)] Loss: 0.014213 (0.0119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.72/s LR: 1.008e-04 P_Replacement: 0.41063970273052475 + +2023-08-09 16:49:49,112 - train: [ INFO] - Test: [ 0/7] Time: 0.935 (0.935) Loss: 0.8077 (0.8077) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:49:50,806 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.329) Loss: 0.6366 (0.8254) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.9195)Acc@5: 93.3333 (92.8736) + +2023-08-09 16:49:52,640 - train: [ INFO] - Train: 223 [ 0/65 ( 0%)] Loss: 0.011849 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.558s, 77.00/s LR: 9.865e-05 P_Replacement: 0.4107247037037036 + +2023-08-09 16:50:28,111 - train: [ INFO] - Train: 223 [ 50/65 ( 78%)] Loss: 0.011493 (0.0117) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.29/s LR: 9.865e-05 P_Replacement: 0.4149897238490196 + +2023-08-09 16:50:38,080 - train: [ INFO] - Train: 223 [ 64/65 (100%)] Loss: 0.012028 (0.0119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.97/s LR: 9.865e-05 P_Replacement: 0.4161891979135184 + +2023-08-09 16:50:39,146 - train: [ INFO] - Test: [ 0/7] Time: 0.939 (0.939) Loss: 0.7543 (0.7543) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 90.0000 (90.0000) + +2023-08-09 16:50:40,790 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.323) Loss: 0.3839 (0.8078) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (81.1494)Acc@5: 100.0000 (93.5632) + +2023-08-09 16:50:42,674 - train: [ INFO] - Train: 224 [ 0/65 ( 0%)] Loss: 0.012672 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.619s, 74.13/s LR: 9.649e-05 P_Replacement: 0.416274962962963 + +2023-08-09 16:51:18,051 - train: [ INFO] - Train: 224 [ 50/65 ( 78%)] Loss: 0.011301 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.44/s LR: 9.649e-05 P_Replacement: 0.4205782539827037 + +2023-08-09 16:51:27,970 - train: [ INFO] - Train: 224 [ 64/65 (100%)] Loss: 0.010958 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.28/s LR: 9.649e-05 P_Replacement: 0.4217884674554865 + +2023-08-09 16:51:29,053 - train: [ INFO] - Test: [ 0/7] Time: 0.948 (0.948) Loss: 0.7742 (0.7742) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:51:30,678 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.322) Loss: 0.9082 (0.8154) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (80.9195)Acc@5: 96.6667 (93.2184) + +2023-08-09 16:51:32,563 - train: [ INFO] - Train: 225 [ 0/65 ( 0%)] Loss: 0.011206 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.581s, 75.88/s LR: 9.434e-05 P_Replacement: 0.421875 + +2023-08-09 16:52:07,986 - train: [ INFO] - Train: 225 [ 50/65 ( 78%)] Loss: 0.011647 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.39/s LR: 9.434e-05 P_Replacement: 0.42621673283433636 + +2023-08-09 16:52:17,819 - train: [ INFO] - Train: 225 [ 64/65 (100%)] Loss: 0.011217 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.54/s LR: 9.434e-05 P_Replacement: 0.427437733578651 + +2023-08-09 16:52:18,893 - train: [ INFO] - Test: [ 0/7] Time: 0.947 (0.947) Loss: 0.7844 (0.7844) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:52:20,531 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.323) Loss: 0.5488 (0.8329) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (81.4943)Acc@5: 96.6667 (92.4138) + +2023-08-09 16:52:22,459 - train: [ INFO] - Train: 226 [ 0/65 ( 0%)] Loss: 0.011283 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.628s, 73.73/s LR: 9.222e-05 P_Replacement: 0.427525037037037 + +2023-08-09 16:52:57,728 - train: [ INFO] - Train: 226 [ 50/65 ( 78%)] Loss: 0.011612 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.88/s LR: 9.222e-05 P_Replacement: 0.4319053826261399 + +2023-08-09 16:53:07,678 - train: [ INFO] - Train: 226 [ 64/65 (100%)] Loss: 0.011336 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.51/s LR: 9.222e-05 P_Replacement: 0.43313721850523434 + +2023-08-09 16:53:08,768 - train: [ INFO] - Test: [ 0/7] Time: 0.970 (0.970) Loss: 0.5350 (0.5350) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:53:10,419 - train: [ INFO] - Test: [ 7/7] Time: 0.072 (0.328) Loss: 0.6522 (0.8179) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.0345)Acc@5: 90.0000 (93.1035) + +2023-08-09 16:53:12,321 - train: [ INFO] - Train: 227 [ 0/65 ( 0%)] Loss: 0.011354 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.603s, 74.87/s LR: 9.012e-05 P_Replacement: 0.43322529629629636 + +2023-08-09 16:53:47,764 - train: [ INFO] - Train: 227 [ 50/65 ( 78%)] Loss: 0.010820 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.21/s LR: 9.012e-05 P_Replacement: 0.4376444255803369 + +2023-08-09 16:53:57,710 - train: [ INFO] - Train: 227 [ 64/65 (100%)] Loss: 0.011440 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.00/s LR: 9.012e-05 P_Replacement: 0.4388871444574589 + +2023-08-09 16:53:58,765 - train: [ INFO] - Test: [ 0/7] Time: 0.904 (0.904) Loss: 0.7254 (0.7254) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 91.6667 (91.6667) + +2023-08-09 16:54:00,511 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.331) Loss: 0.4207 (0.8206) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (81.9540)Acc@5: 96.6667 (92.8736) + +2023-08-09 16:54:02,375 - train: [ INFO] - Train: 228 [ 0/65 ( 0%)] Loss: 0.010714 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.568s, 76.54/s LR: 8.805e-05 P_Replacement: 0.43897600000000003 + +2023-08-09 16:54:37,794 - train: [ INFO] - Train: 228 [ 50/65 ( 78%)] Loss: 0.011161 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.47/s LR: 8.805e-05 P_Replacement: 0.443434083919149 + +2023-08-09 16:54:47,694 - train: [ INFO] - Train: 228 [ 64/65 (100%)] Loss: 0.011019 (0.0117) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.37/s LR: 8.805e-05 P_Replacement: 0.4446877336575465 + +2023-08-09 16:54:48,747 - train: [ INFO] - Test: [ 0/7] Time: 0.906 (0.906) Loss: 0.8691 (0.8691) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 91.6667 (91.6667) + +2023-08-09 16:54:50,427 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.323) Loss: 0.5373 (0.8007) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (81.8391)Acc@5: 93.3333 (92.9885) + +2023-08-09 16:54:52,323 - train: [ INFO] - Train: 229 [ 0/65 ( 0%)] Loss: 0.012013 (0.0120) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.627s, 73.75/s LR: 8.600e-05 P_Replacement: 0.44477737037037035 + +2023-08-09 16:55:27,701 - train: [ INFO] - Train: 229 [ 50/65 ( 78%)] Loss: 0.011680 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.39/s LR: 8.600e-05 P_Replacement: 0.44927457986479874 + +2023-08-09 16:55:37,656 - train: [ INFO] - Train: 229 [ 64/65 (100%)] Loss: 0.012629 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 8.600e-05 P_Replacement: 0.45053920832771954 + +2023-08-09 16:55:38,738 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 0.8076 (0.8076) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:55:40,328 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.316) Loss: 0.9563 (0.8080) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.9540)Acc@5: 93.3333 (92.7586) + +2023-08-09 16:55:40,646 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-229.pth.tar', 81.95402921479324) + +2023-08-09 16:55:42,342 - train: [ INFO] - Train: 230 [ 0/65 ( 0%)] Loss: 0.011275 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.675s, 71.65/s LR: 8.397e-05 P_Replacement: 0.4506296296296297 + +2023-08-09 16:56:17,722 - train: [ INFO] - Train: 230 [ 50/65 ( 78%)] Loss: 0.010978 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.17/s LR: 8.397e-05 P_Replacement: 0.4551661356395085 + +2023-08-09 16:56:27,688 - train: [ INFO] - Train: 230 [ 64/65 (100%)] Loss: 0.012287 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 8.397e-05 P_Replacement: 0.4564417906902005 + +2023-08-09 16:56:28,749 - train: [ INFO] - Test: [ 0/7] Time: 0.932 (0.932) Loss: 0.8453 (0.8453) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:56:30,303 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.311) Loss: 0.7311 (0.7955) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.1839)Acc@5: 96.6667 (92.8736) + +2023-08-09 16:56:30,564 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-230.pth.tar', 82.18391286915747) + +2023-08-09 16:56:32,143 - train: [ INFO] - Train: 231 [ 0/65 ( 0%)] Loss: 0.011012 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.564s, 76.72/s LR: 8.196e-05 P_Replacement: 0.456533 + +2023-08-09 16:57:07,506 - train: [ INFO] - Train: 231 [ 50/65 ( 78%)] Loss: 0.010988 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.74/s LR: 8.196e-05 P_Replacement: 0.4611089734655001 + +2023-08-09 16:57:17,426 - train: [ INFO] - Train: 231 [ 64/65 (100%)] Loss: 0.011096 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.51/s LR: 8.196e-05 P_Replacement: 0.4623957029672112 + +2023-08-09 16:57:18,532 - train: [ INFO] - Test: [ 0/7] Time: 0.946 (0.946) Loss: 0.5943 (0.5943) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:57:20,297 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.339) Loss: 1.1090 (0.8002) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (81.4943)Acc@5: 83.3333 (93.3333) + +2023-08-09 16:57:22,168 - train: [ INFO] - Train: 232 [ 0/65 ( 0%)] Loss: 0.011467 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.609s, 74.59/s LR: 7.998e-05 P_Replacement: 0.4624877037037037 + +2023-08-09 16:57:57,601 - train: [ INFO] - Train: 232 [ 50/65 ( 78%)] Loss: 0.010851 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.23/s LR: 7.998e-05 P_Replacement: 0.467103315564996 + +2023-08-09 16:58:07,519 - train: [ INFO] - Train: 232 [ 64/65 (100%)] Loss: 0.010943 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 7.998e-05 P_Replacement: 0.46840116738097404 + +2023-08-09 16:58:08,613 - train: [ INFO] - Test: [ 0/7] Time: 0.957 (0.957) Loss: 0.7660 (0.7660) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:58:10,230 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.322) Loss: 0.6050 (0.8070) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.3793)Acc@5: 96.6667 (92.9885) + +2023-08-09 16:58:12,069 - train: [ INFO] - Train: 233 [ 0/65 ( 0%)] Loss: 0.010784 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.574s, 76.25/s LR: 7.802e-05 P_Replacement: 0.46849396296296286 + +2023-08-09 16:58:47,366 - train: [ INFO] - Train: 233 [ 50/65 ( 78%)] Loss: 0.011086 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.00/s LR: 7.802e-05 P_Replacement: 0.47314938416021857 + +2023-08-09 16:58:57,182 - train: [ INFO] - Train: 233 [ 64/65 (100%)] Loss: 0.011617 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.08/s LR: 7.802e-05 P_Replacement: 0.4744584061537112 + +2023-08-09 16:58:58,250 - train: [ INFO] - Test: [ 0/7] Time: 0.941 (0.941) Loss: 0.7441 (0.7441) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:58:59,871 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.320) Loss: 0.9712 (0.8104) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.8391)Acc@5: 93.3333 (93.1035) + +2023-08-09 16:59:01,801 - train: [ INFO] - Train: 234 [ 0/65 ( 0%)] Loss: 0.010850 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.617s, 74.22/s LR: 7.609e-05 P_Replacement: 0.47455200000000003 + +2023-08-09 16:59:37,175 - train: [ INFO] - Train: 234 [ 50/65 ( 78%)] Loss: 0.011003 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.45/s LR: 7.609e-05 P_Replacement: 0.4792474014733897 + +2023-08-09 16:59:47,146 - train: [ INFO] - Train: 234 [ 64/65 (100%)] Loss: 0.013357 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.10/s LR: 7.609e-05 P_Replacement: 0.48056764150764514 + +2023-08-09 16:59:48,235 - train: [ INFO] - Test: [ 0/7] Time: 0.967 (0.967) Loss: 0.6618 (0.6618) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:59:49,903 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.329) Loss: 1.0622 (0.7868) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.4943)Acc@5: 86.6667 (92.7586) + +2023-08-09 16:59:51,811 - train: [ INFO] - Train: 235 [ 0/65 ( 0%)] Loss: 0.010934 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.603s, 74.84/s LR: 7.417e-05 P_Replacement: 0.480662037037037 + +2023-08-09 17:00:27,223 - train: [ INFO] - Train: 235 [ 50/65 ( 78%)] Loss: 0.010943 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.35/s LR: 7.417e-05 P_Replacement: 0.4853975897267317 + +2023-08-09 17:00:37,230 - train: [ INFO] - Train: 235 [ 64/65 (100%)] Loss: 0.011001 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.89/s LR: 7.417e-05 P_Replacement: 0.4867290956649977 + +2023-08-09 17:00:38,353 - train: [ INFO] - Test: [ 0/7] Time: 0.964 (0.964) Loss: 0.7286 (0.7286) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:00:40,021 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.329) Loss: 0.3535 (0.7926) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (81.7241)Acc@5: 100.0000 (92.9885) + +2023-08-09 17:00:41,899 - train: [ INFO] - Train: 236 [ 0/65 ( 0%)] Loss: 0.011972 (0.0120) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.615s, 74.30/s LR: 7.229e-05 P_Replacement: 0.4868242962962962 + +2023-08-09 17:01:17,166 - train: [ INFO] - Train: 236 [ 50/65 ( 78%)] Loss: 0.011240 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 7.229e-05 P_Replacement: 0.4916001711424669 + +2023-08-09 17:01:27,002 - train: [ INFO] - Train: 236 [ 64/65 (100%)] Loss: 0.011253 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.97/s LR: 7.229e-05 P_Replacement: 0.4929429908479913 + +2023-08-09 17:01:28,040 - train: [ INFO] - Test: [ 0/7] Time: 0.892 (0.892) Loss: 0.8051 (0.8051) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-09 17:01:29,685 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.317) Loss: 0.3146 (0.7973) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (81.2644)Acc@5: 100.0000 (93.6782) + +2023-08-09 17:01:31,478 - train: [ INFO] - Train: 237 [ 0/65 ( 0%)] Loss: 0.011073 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.494s, 80.32/s LR: 7.043e-05 P_Replacement: 0.49303900000000006 + +2023-08-09 17:02:06,964 - train: [ INFO] - Train: 237 [ 50/65 ( 78%)] Loss: 0.011154 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.50/s LR: 7.043e-05 P_Replacement: 0.4978553679428177 + +2023-08-09 17:02:16,893 - train: [ INFO] - Train: 237 [ 64/65 (100%)] Loss: 0.011955 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.29/s LR: 7.043e-05 P_Replacement: 0.4992095492788483 + +2023-08-09 17:02:17,938 - train: [ INFO] - Test: [ 0/7] Time: 0.902 (0.902) Loss: 0.7849 (0.7849) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 91.6667 (91.6667) + +2023-08-09 17:02:19,602 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.321) Loss: 0.9126 (0.7966) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.2989)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:02:19,881 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-237.pth.tar', 82.29885574866985) + +2023-08-09 17:02:21,424 - train: [ INFO] - Train: 238 [ 0/65 ( 0%)] Loss: 0.011547 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.524s, 78.75/s LR: 6.859e-05 P_Replacement: 0.4993063703703704 + +2023-08-09 17:02:56,868 - train: [ INFO] - Train: 238 [ 50/65 ( 78%)] Loss: 0.010894 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.56/s LR: 6.859e-05 P_Replacement: 0.5041634023500059 + +2023-08-09 17:03:06,859 - train: [ INFO] - Train: 238 [ 64/65 (100%)] Loss: 0.010674 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.12/s LR: 6.859e-05 P_Replacement: 0.5055289931797906 + +2023-08-09 17:03:07,878 - train: [ INFO] - Test: [ 0/7] Time: 0.872 (0.872) Loss: 0.9788 (0.9788) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 89.1667 (89.1667) + +2023-08-09 17:03:09,490 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.311) Loss: 0.5280 (0.7585) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (83.2184)Acc@5: 93.3333 (93.4483) + +2023-08-09 17:03:09,751 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-238.pth.tar', 83.21839668010843) + +2023-08-09 17:03:11,232 - train: [ INFO] - Train: 239 [ 0/65 ( 0%)] Loss: 0.011108 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.467s, 81.80/s LR: 6.678e-05 P_Replacement: 0.5056266296296296 + +2023-08-09 17:03:46,606 - train: [ INFO] - Train: 239 [ 50/65 ( 78%)] Loss: 0.010464 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.13/s LR: 6.678e-05 P_Replacement: 0.5105244965862539 + +2023-08-09 17:03:56,563 - train: [ INFO] - Train: 239 [ 64/65 (100%)] Loss: 0.011978 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.68/s LR: 6.678e-05 P_Replacement: 0.5119015447730406 + +2023-08-09 17:03:57,677 - train: [ INFO] - Test: [ 0/7] Time: 0.951 (0.951) Loss: 0.9578 (0.9578) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 92.5000 (92.5000) + +2023-08-09 17:03:59,328 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.325) Loss: 1.6055 (0.7882) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (82.2989)Acc@5: 86.6667 (93.5632) + +2023-08-09 17:04:01,191 - train: [ INFO] - Train: 240 [ 0/65 ( 0%)] Loss: 0.010739 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.582s, 75.86/s LR: 6.500e-05 P_Replacement: 0.5120000000000001 + +2023-08-09 17:04:36,551 - train: [ INFO] - Train: 240 [ 50/65 ( 78%)] Loss: 0.011198 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.68/s LR: 6.500e-05 P_Replacement: 0.5169388728737841 + +2023-08-09 17:04:46,500 - train: [ INFO] - Train: 240 [ 64/65 (100%)] Loss: 0.011981 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 6.500e-05 P_Replacement: 0.5183274262808207 + +2023-08-09 17:04:47,596 - train: [ INFO] - Test: [ 0/7] Time: 0.933 (0.933) Loss: 0.9611 (0.9611) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 91.6667 (91.6667) + +2023-08-09 17:04:49,247 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.323) Loss: 0.4582 (0.8009) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (81.9540)Acc@5: 96.6667 (93.2184) + +2023-08-09 17:04:51,112 - train: [ INFO] - Train: 241 [ 0/65 ( 0%)] Loss: 0.011009 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.596s, 75.19/s LR: 6.324e-05 P_Replacement: 0.5184267037037037 + +2023-08-09 17:05:26,440 - train: [ INFO] - Train: 241 [ 50/65 ( 78%)] Loss: 0.010499 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.76/s LR: 6.324e-05 P_Replacement: 0.5234067534348186 + +2023-08-09 17:05:36,269 - train: [ INFO] - Train: 241 [ 64/65 (100%)] Loss: 0.011382 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.85/s LR: 6.324e-05 P_Replacement: 0.5248068599253528 + +2023-08-09 17:05:37,297 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 0.6448 (0.6448) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:05:39,070 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.337) Loss: 0.9593 (0.7775) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.4138)Acc@5: 90.0000 (93.3333) + +2023-08-09 17:05:40,935 - train: [ INFO] - Train: 242 [ 0/65 ( 0%)] Loss: 0.010690 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.603s, 74.87/s LR: 6.150e-05 P_Replacement: 0.5249069629629629 + +2023-08-09 17:06:16,261 - train: [ INFO] - Train: 242 [ 50/65 ( 78%)] Loss: 0.011990 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.73/s LR: 6.150e-05 P_Replacement: 0.5299283604915793 + +2023-08-09 17:06:26,156 - train: [ INFO] - Train: 242 [ 64/65 (100%)] Loss: 0.010363 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.59/s LR: 6.150e-05 P_Replacement: 0.5313400679288591 + +2023-08-09 17:06:27,217 - train: [ INFO] - Test: [ 0/7] Time: 0.930 (0.930) Loss: 0.7493 (0.7493) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:06:28,842 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.319) Loss: 0.5346 (0.7945) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.1494)Acc@5: 93.3333 (93.2184) + +2023-08-09 17:06:30,720 - train: [ INFO] - Train: 243 [ 0/65 ( 0%)] Loss: 0.010608 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.610s, 74.52/s LR: 5.980e-05 P_Replacement: 0.531441 + +2023-08-09 17:07:06,039 - train: [ INFO] - Train: 243 [ 50/65 ( 78%)] Loss: 0.011255 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.73/s LR: 5.980e-05 P_Replacement: 0.5365039162662891 + +2023-08-09 17:07:15,970 - train: [ INFO] - Train: 243 [ 64/65 (100%)] Loss: 0.010993 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.46/s LR: 5.980e-05 P_Replacement: 0.5379272725135623 + +2023-08-09 17:07:17,060 - train: [ INFO] - Test: [ 0/7] Time: 0.959 (0.959) Loss: 0.8806 (0.8806) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 90.8333 (90.8333) + +2023-08-09 17:07:18,785 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.336) Loss: 0.4507 (0.7879) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (82.2989)Acc@5: 96.6667 (92.8736) + +2023-08-09 17:07:20,731 - train: [ INFO] - Train: 244 [ 0/65 ( 0%)] Loss: 0.010827 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.654s, 72.55/s LR: 5.811e-05 P_Replacement: 0.5380290370370371 + +2023-08-09 17:07:56,057 - train: [ INFO] - Train: 244 [ 50/65 ( 78%)] Loss: 0.011716 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.51/s LR: 5.811e-05 P_Replacement: 0.5431336429811696 + +2023-08-09 17:08:05,935 - train: [ INFO] - Train: 244 [ 64/65 (100%)] Loss: 0.011238 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.47/s LR: 5.811e-05 P_Replacement: 0.5445686959016841 + +2023-08-09 17:08:07,034 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 0.9018 (0.9018) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 92.5000 (92.5000) + +2023-08-09 17:08:08,749 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.331) Loss: 0.7614 (0.7880) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.1839)Acc@5: 96.6667 (94.0230) + +2023-08-09 17:08:10,632 - train: [ INFO] - Train: 245 [ 0/65 ( 0%)] Loss: 0.011166 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.600s, 75.00/s LR: 5.646e-05 P_Replacement: 0.5446712962962963 + +2023-08-09 17:08:46,025 - train: [ INFO] - Train: 245 [ 50/65 ( 78%)] Loss: 0.010460 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.45/s LR: 5.646e-05 P_Replacement: 0.5498177628584433 + +2023-08-09 17:08:55,981 - train: [ INFO] - Train: 245 [ 64/65 (100%)] Loss: 0.010978 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.15/s LR: 5.646e-05 P_Replacement: 0.5512645603154469 + +2023-08-09 17:08:57,030 - train: [ INFO] - Test: [ 0/7] Time: 0.929 (0.929) Loss: 0.8037 (0.8037) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:08:58,712 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.326) Loss: 0.6994 (0.7842) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.4138)Acc@5: 93.3333 (93.7931) + +2023-08-09 17:09:00,610 - train: [ INFO] - Train: 246 [ 0/65 ( 0%)] Loss: 0.011132 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.624s, 73.89/s LR: 5.483e-05 P_Replacement: 0.5513679999999999 + +2023-08-09 17:09:35,976 - train: [ INFO] - Train: 246 [ 50/65 ( 78%)] Loss: 0.010604 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.46/s LR: 5.483e-05 P_Replacement: 0.5565564981203326 + +2023-08-09 17:09:45,912 - train: [ INFO] - Train: 246 [ 64/65 (100%)] Loss: 0.010995 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.23/s LR: 5.483e-05 P_Replacement: 0.558015087977073 + +2023-08-09 17:09:46,932 - train: [ INFO] - Test: [ 0/7] Time: 0.901 (0.901) Loss: 0.7277 (0.7277) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:09:48,504 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.309) Loss: 1.2048 (0.7682) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.6437)Acc@5: 86.6667 (93.4483) + +2023-08-09 17:09:50,246 - train: [ INFO] - Train: 247 [ 0/65 ( 0%)] Loss: 0.010837 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.470s, 81.62/s LR: 5.323e-05 P_Replacement: 0.5581193703703704 + +2023-08-09 17:10:25,642 - train: [ INFO] - Train: 247 [ 50/65 ( 78%)] Loss: 0.010770 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.02/s LR: 5.323e-05 P_Replacement: 0.5633500709890592 + +2023-08-09 17:10:35,455 - train: [ INFO] - Train: 247 [ 64/65 (100%)] Loss: 0.010593 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.11/s LR: 5.323e-05 P_Replacement: 0.5648205011087848 + +2023-08-09 17:10:36,495 - train: [ INFO] - Test: [ 0/7] Time: 0.906 (0.906) Loss: 0.8688 (0.8688) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 92.5000 (92.5000) + +2023-08-09 17:10:38,159 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.321) Loss: 0.8188 (0.7693) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.2989)Acc@5: 93.3333 (93.7931) + +2023-08-09 17:10:39,905 - train: [ INFO] - Train: 248 [ 0/65 ( 0%)] Loss: 0.010787 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.464s, 81.98/s LR: 5.165e-05 P_Replacement: 0.5649256296296297 + +2023-08-09 17:11:15,123 - train: [ INFO] - Train: 248 [ 50/65 ( 78%)] Loss: 0.010345 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.85/s LR: 5.165e-05 P_Replacement: 0.5701987036868457 + +2023-08-09 17:11:25,051 - train: [ INFO] - Train: 248 [ 64/65 (100%)] Loss: 0.010924 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.36/s LR: 5.165e-05 P_Replacement: 0.571681021932804 + +2023-08-09 17:11:26,145 - train: [ INFO] - Test: [ 0/7] Time: 0.953 (0.953) Loss: 0.8181 (0.8181) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:11:27,793 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.325) Loss: 0.3942 (0.7786) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (82.1839)Acc@5: 100.0000 (93.1035) + +2023-08-09 17:11:29,658 - train: [ INFO] - Train: 249 [ 0/65 ( 0%)] Loss: 0.010841 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.598s, 75.08/s LR: 5.010e-05 P_Replacement: 0.5717869999999999 + +2023-08-09 17:12:05,054 - train: [ INFO] - Train: 249 [ 50/65 ( 78%)] Loss: 0.011266 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.44/s LR: 5.010e-05 P_Replacement: 0.5771026184359141 + +2023-08-09 17:12:14,916 - train: [ INFO] - Train: 249 [ 64/65 (100%)] Loss: 0.010979 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.47/s LR: 5.010e-05 P_Replacement: 0.5785968726713531 + +2023-08-09 17:12:15,911 - train: [ INFO] - Test: [ 0/7] Time: 0.875 (0.875) Loss: 0.8165 (0.8165) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:12:17,560 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.315) Loss: 0.4937 (0.7796) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (82.4138)Acc@5: 96.6667 (93.3333) + +2023-08-09 17:12:19,331 - train: [ INFO] - Train: 250 [ 0/65 ( 0%)] Loss: 0.010539 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.517s, 79.08/s LR: 4.858e-05 P_Replacement: 0.5787037037037038 + +2023-08-09 17:12:54,766 - train: [ INFO] - Train: 250 [ 50/65 ( 78%)] Loss: 0.010399 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.63/s LR: 4.858e-05 P_Replacement: 0.5840620374584872 + +2023-08-09 17:13:04,729 - train: [ INFO] - Train: 250 [ 64/65 (100%)] Loss: 0.012301 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.27/s LR: 4.858e-05 P_Replacement: 0.5855682755466546 + +2023-08-09 17:13:05,791 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 0.6359 (0.6359) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:13:07,390 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.311) Loss: 0.5899 (0.7861) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.5287)Acc@5: 96.6667 (93.5632) + +2023-08-09 17:13:09,185 - train: [ INFO] - Train: 251 [ 0/65 ( 0%)] Loss: 0.010877 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.518s, 79.05/s LR: 4.709e-05 P_Replacement: 0.585675962962963 + +2023-08-09 17:13:44,716 - train: [ INFO] - Train: 251 [ 50/65 ( 78%)] Loss: 0.011258 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.20/s LR: 4.709e-05 P_Replacement: 0.5910771829767865 + +2023-08-09 17:13:54,689 - train: [ INFO] - Train: 251 [ 64/65 (100%)] Loss: 0.011175 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.89/s LR: 4.709e-05 P_Replacement: 0.5925954527809302 + +2023-08-09 17:13:55,774 - train: [ INFO] - Test: [ 0/7] Time: 0.949 (0.949) Loss: 0.8592 (0.8592) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 92.5000 (92.5000) + +2023-08-09 17:13:57,481 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.332) Loss: 0.8049 (0.7724) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.1839)Acc@5: 93.3333 (93.6782) + +2023-08-09 17:13:59,369 - train: [ INFO] - Train: 252 [ 0/65 ( 0%)] Loss: 0.010591 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.582s, 75.86/s LR: 4.562e-05 P_Replacement: 0.5927039999999999 + +2023-08-09 17:14:34,924 - train: [ INFO] - Train: 252 [ 50/65 ( 78%)] Loss: 0.010769 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.81/s LR: 4.562e-05 P_Replacement: 0.5981482772130345 + +2023-08-09 17:14:44,803 - train: [ INFO] - Train: 252 [ 64/65 (100%)] Loss: 0.010371 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.91/s LR: 4.562e-05 P_Replacement: 0.5996786265964025 + +2023-08-09 17:14:45,876 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 0.7700 (0.7700) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:14:47,553 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.327) Loss: 0.7839 (0.7785) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.5287)Acc@5: 93.3333 (93.4483) + +2023-08-09 17:14:49,436 - train: [ INFO] - Train: 253 [ 0/65 ( 0%)] Loss: 0.010694 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.622s, 74.00/s LR: 4.418e-05 P_Replacement: 0.5997880370370371 + +2023-08-09 17:15:24,830 - train: [ INFO] - Train: 253 [ 50/65 ( 78%)] Loss: 0.010508 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.35/s LR: 4.418e-05 P_Replacement: 0.6052755423894537 + +2023-08-09 17:15:34,775 - train: [ INFO] - Train: 253 [ 64/65 (100%)] Loss: 0.011859 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.10/s LR: 4.418e-05 P_Replacement: 0.6068180192152937 + +2023-08-09 17:15:35,835 - train: [ INFO] - Test: [ 0/7] Time: 0.910 (0.910) Loss: 0.9819 (0.9819) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 91.6667 (91.6667) + +2023-08-09 17:15:37,566 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.330) Loss: 0.4905 (0.7734) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.6437)Acc@5: 100.0000 (93.5632) + +2023-08-09 17:15:39,383 - train: [ INFO] - Train: 254 [ 0/65 ( 0%)] Loss: 0.011802 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.547s, 77.58/s LR: 4.277e-05 P_Replacement: 0.6069282962962963 + +2023-08-09 17:16:14,856 - train: [ INFO] - Train: 254 [ 50/65 ( 78%)] Loss: 0.010035 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.33/s LR: 4.277e-05 P_Replacement: 0.6124592007282659 + +2023-08-09 17:16:24,809 - train: [ INFO] - Train: 254 [ 64/65 (100%)] Loss: 0.010501 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.06/s LR: 4.277e-05 P_Replacement: 0.6140138528598257 + +2023-08-09 17:16:25,889 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 0.8131 (0.8131) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 92.5000 (92.5000) + +2023-08-09 17:16:27,459 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.312) Loss: 0.6456 (0.7644) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.7586)Acc@5: 96.6667 (93.4483) + +2023-08-09 17:16:29,257 - train: [ INFO] - Train: 255 [ 0/65 ( 0%)] Loss: 0.010630 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.537s, 78.08/s LR: 4.139e-05 P_Replacement: 0.6141249999999999 + +2023-08-09 17:17:04,813 - train: [ INFO] - Train: 255 [ 50/65 ( 78%)] Loss: 0.010746 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.00/s LR: 4.139e-05 P_Replacement: 0.6196994744516933 + +2023-08-09 17:17:14,703 - train: [ INFO] - Train: 255 [ 64/65 (100%)] Loss: 0.010594 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.03/s LR: 4.139e-05 P_Replacement: 0.621266349752221 + +2023-08-09 17:17:15,769 - train: [ INFO] - Test: [ 0/7] Time: 0.935 (0.935) Loss: 0.7755 (0.7755) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:17:17,487 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.332) Loss: 1.1240 (0.7630) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (82.5287)Acc@5: 86.6667 (93.5632) + +2023-08-09 17:17:19,279 - train: [ INFO] - Train: 256 [ 0/65 ( 0%)] Loss: 0.011161 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.503s, 79.82/s LR: 4.003e-05 P_Replacement: 0.6213783703703705 + +2023-08-09 17:17:54,637 - train: [ INFO] - Train: 256 [ 50/65 ( 78%)] Loss: 0.010355 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.03/s LR: 4.003e-05 P_Replacement: 0.6269965857819587 + +2023-08-09 17:18:04,502 - train: [ INFO] - Train: 256 [ 64/65 (100%)] Loss: 0.010534 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.94/s LR: 4.003e-05 P_Replacement: 0.628575732114702 + +2023-08-09 17:18:05,633 - train: [ INFO] - Test: [ 0/7] Time: 0.951 (0.951) Loss: 0.8554 (0.8554) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 92.5000 (92.5000) + +2023-08-09 17:18:07,379 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.337) Loss: 0.9326 (0.7629) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (83.1035)Acc@5: 90.0000 (93.4483) + +2023-08-09 17:18:09,249 - train: [ INFO] - Train: 257 [ 0/65 ( 0%)] Loss: 0.011426 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.593s, 75.33/s LR: 3.871e-05 P_Replacement: 0.6286886296296297 + +2023-08-09 17:18:44,548 - train: [ INFO] - Train: 257 [ 50/65 ( 78%)] Loss: 0.010723 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 3.871e-05 P_Replacement: 0.6343507569412836 + +2023-08-09 17:18:54,456 - train: [ INFO] - Train: 257 [ 64/65 (100%)] Loss: 0.010561 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.68/s LR: 3.871e-05 P_Replacement: 0.6359422221694904 + +2023-08-09 17:18:55,553 - train: [ INFO] - Test: [ 0/7] Time: 0.957 (0.957) Loss: 0.9118 (0.9118) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:18:57,158 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.320) Loss: 0.4810 (0.7794) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (83.3333)Acc@5: 96.6667 (93.6782) + +2023-08-09 17:18:57,457 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-257.pth.tar', 83.33333771804283) + +2023-08-09 17:18:59,102 - train: [ INFO] - Train: 258 [ 0/65 ( 0%)] Loss: 0.010141 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.622s, 73.97/s LR: 3.741e-05 P_Replacement: 0.636056 + +2023-08-09 17:19:34,528 - train: [ INFO] - Train: 258 [ 50/65 ( 78%)] Loss: 0.010116 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.20/s LR: 3.741e-05 P_Replacement: 0.6417622101518906 + +2023-08-09 17:19:44,434 - train: [ INFO] - Train: 258 [ 64/65 (100%)] Loss: 0.011183 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.13/s LR: 3.741e-05 P_Replacement: 0.6433660421388088 + +2023-08-09 17:19:45,477 - train: [ INFO] - Test: [ 0/7] Time: 0.873 (0.873) Loss: 0.9028 (0.9028) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:19:47,160 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.320) Loss: 0.7947 (0.7638) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.5287)Acc@5: 96.6667 (93.7931) + +2023-08-09 17:19:49,010 - train: [ INFO] - Train: 259 [ 0/65 ( 0%)] Loss: 0.010961 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.587s, 75.61/s LR: 3.614e-05 P_Replacement: 0.6434807037037036 + +2023-08-09 17:20:24,508 - train: [ INFO] - Train: 259 [ 50/65 ( 78%)] Loss: 0.010310 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.03/s LR: 3.614e-05 P_Replacement: 0.6492311676360021 + +2023-08-09 17:20:34,399 - train: [ INFO] - Train: 259 [ 64/65 (100%)] Loss: 0.010374 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 3.614e-05 P_Replacement: 0.6508474142448792 + +2023-08-09 17:20:35,461 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.8002 (0.8002) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:20:37,091 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.321) Loss: 0.6086 (0.7830) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.8736)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:20:39,015 - train: [ INFO] - Train: 260 [ 0/65 ( 0%)] Loss: 0.010536 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.617s, 74.20/s LR: 3.490e-05 P_Replacement: 0.6509629629629631 + +2023-08-09 17:21:14,466 - train: [ INFO] - Train: 260 [ 50/65 ( 78%)] Loss: 0.010648 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.11/s LR: 3.490e-05 P_Replacement: 0.6567578516158399 + +2023-08-09 17:21:24,336 - train: [ INFO] - Train: 260 [ 64/65 (100%)] Loss: 0.011505 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.19/s LR: 3.490e-05 P_Replacement: 0.6583865607099244 + +2023-08-09 17:21:25,368 - train: [ INFO] - Test: [ 0/7] Time: 0.899 (0.899) Loss: 0.7519 (0.7519) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:21:27,000 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.316) Loss: 0.8418 (0.7741) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.9885)Acc@5: 96.6667 (92.9885) + +2023-08-09 17:21:28,838 - train: [ INFO] - Train: 261 [ 0/65 ( 0%)] Loss: 0.011107 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.531s, 78.37/s LR: 3.368e-05 P_Replacement: 0.658503 + +2023-08-09 17:22:04,541 - train: [ INFO] - Train: 261 [ 50/65 ( 78%)] Loss: 0.010792 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.37/s LR: 3.368e-05 P_Replacement: 0.6643424843136263 + +2023-08-09 17:22:14,566 - train: [ INFO] - Train: 261 [ 64/65 (100%)] Loss: 0.010102 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.06/s LR: 3.368e-05 P_Replacement: 0.6659837037561658 + +2023-08-09 17:22:15,666 - train: [ INFO] - Test: [ 0/7] Time: 0.931 (0.931) Loss: 1.0975 (1.0975) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 90.0000 (90.0000) + +2023-08-09 17:22:17,315 - train: [ INFO] - Test: [ 7/7] Time: 0.072 (0.322) Loss: 0.2923 (0.7791) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (82.9885)Acc@5: 100.0000 (93.1035) + +2023-08-09 17:22:19,221 - train: [ INFO] - Train: 262 [ 0/65 ( 0%)] Loss: 0.010082 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.610s, 74.54/s LR: 3.250e-05 P_Replacement: 0.6661010370370369 + +2023-08-09 17:22:54,908 - train: [ INFO] - Train: 262 [ 50/65 ( 78%)] Loss: 0.010797 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.10/s LR: 3.250e-05 P_Replacement: 0.6719852879515837 + +2023-08-09 17:23:04,888 - train: [ INFO] - Train: 262 [ 64/65 (100%)] Loss: 0.010490 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.00/s LR: 3.250e-05 P_Replacement: 0.673639065605826 + +2023-08-09 17:23:05,869 - train: [ INFO] - Test: [ 0/7] Time: 0.849 (0.849) Loss: 0.5663 (0.5663) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:23:07,497 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.310) Loss: 0.7089 (0.7650) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.8736)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:23:09,298 - train: [ INFO] - Train: 263 [ 0/65 ( 0%)] Loss: 0.010187 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.530s, 78.44/s LR: 3.135e-05 P_Replacement: 0.6737572962962964 + +2023-08-09 17:23:44,952 - train: [ INFO] - Train: 263 [ 50/65 ( 78%)] Loss: 0.009830 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.60/s LR: 3.135e-05 P_Replacement: 0.6796864847519345 + +2023-08-09 17:23:54,917 - train: [ INFO] - Train: 263 [ 64/65 (100%)] Loss: 0.010439 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.44/s LR: 3.135e-05 P_Replacement: 0.6813528684811275 + +2023-08-09 17:23:55,985 - train: [ INFO] - Test: [ 0/7] Time: 0.943 (0.943) Loss: 0.6614 (0.6614) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:23:57,694 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.332) Loss: 0.8547 (0.7609) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (83.2184)Acc@5: 93.3333 (93.9081) + +2023-08-09 17:23:59,647 - train: [ INFO] - Train: 264 [ 0/65 ( 0%)] Loss: 0.010214 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.648s, 72.83/s LR: 3.022e-05 P_Replacement: 0.681472 + +2023-08-09 17:24:35,069 - train: [ INFO] - Train: 264 [ 50/65 ( 78%)] Loss: 0.010919 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.12/s LR: 3.022e-05 P_Replacement: 0.6874462969369005 + +2023-08-09 17:24:45,027 - train: [ INFO] - Train: 264 [ 64/65 (100%)] Loss: 0.010032 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.89/s LR: 3.022e-05 P_Replacement: 0.689125334604292 + +2023-08-09 17:24:46,101 - train: [ INFO] - Test: [ 0/7] Time: 0.920 (0.920) Loss: 0.7582 (0.7582) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:24:47,730 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.319) Loss: 1.2032 (0.7483) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (83.3333)Acc@5: 93.3333 (93.5632) + +2023-08-09 17:24:49,513 - train: [ INFO] - Train: 265 [ 0/65 ( 0%)] Loss: 0.010894 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.511s, 79.40/s LR: 2.913e-05 P_Replacement: 0.6892453703703703 + +2023-08-09 17:25:25,127 - train: [ INFO] - Train: 265 [ 50/65 ( 78%)] Loss: 0.010134 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.86/s LR: 2.913e-05 P_Replacement: 0.695264946728704 + +2023-08-09 17:25:35,021 - train: [ INFO] - Train: 265 [ 64/65 (100%)] Loss: 0.010201 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 2.913e-05 P_Replacement: 0.696956686197542 + +2023-08-09 17:25:36,106 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.7391 (0.7391) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:25:37,730 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.320) Loss: 0.9025 (0.7780) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (83.2184)Acc@5: 86.6667 (92.9885) + +2023-08-09 17:25:39,623 - train: [ INFO] - Train: 266 [ 0/65 ( 0%)] Loss: 0.010432 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.591s, 75.44/s LR: 2.806e-05 P_Replacement: 0.6970776296296297 + +2023-08-09 17:26:15,090 - train: [ INFO] - Train: 266 [ 50/65 ( 78%)] Loss: 0.010376 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.15/s LR: 2.806e-05 P_Replacement: 0.7031426563495676 + +2023-08-09 17:26:25,024 - train: [ INFO] - Train: 266 [ 64/65 (100%)] Loss: 0.011280 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.00/s LR: 2.806e-05 P_Replacement: 0.7048471454830999 + +2023-08-09 17:26:26,087 - train: [ INFO] - Test: [ 0/7] Time: 0.920 (0.920) Loss: 0.9427 (0.9427) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 91.6667 (91.6667) + +2023-08-09 17:26:27,738 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.321) Loss: 0.6701 (0.7767) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.5287)Acc@5: 96.6667 (93.2184) + +2023-08-09 17:26:29,715 - train: [ INFO] - Train: 267 [ 0/65 ( 0%)] Loss: 0.010036 (0.0100) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.663s, 72.18/s LR: 2.702e-05 P_Replacement: 0.7049690000000001 + +2023-08-09 17:27:05,304 - train: [ INFO] - Train: 267 [ 50/65 ( 78%)] Loss: 0.010113 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.30/s LR: 2.702e-05 P_Replacement: 0.7110796480217131 + +2023-08-09 17:27:15,237 - train: [ INFO] - Train: 267 [ 64/65 (100%)] Loss: 0.010185 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.32/s LR: 2.702e-05 P_Replacement: 0.7127969346831875 + +2023-08-09 17:27:16,343 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 0.7412 (0.7412) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:27:17,993 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.323) Loss: 0.5269 (0.7407) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (83.2184)Acc@5: 100.0000 (94.2529) + +2023-08-09 17:27:19,849 - train: [ INFO] - Train: 268 [ 0/65 ( 0%)] Loss: 0.010690 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.586s, 75.68/s LR: 2.602e-05 P_Replacement: 0.7129197037037036 + +2023-08-09 17:27:55,308 - train: [ INFO] - Train: 268 [ 50/65 ( 78%)] Loss: 0.009947 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.22/s LR: 2.602e-05 P_Replacement: 0.7190761439673629 + +2023-08-09 17:28:05,251 - train: [ INFO] - Train: 268 [ 64/65 (100%)] Loss: 0.011719 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.01/s LR: 2.602e-05 P_Replacement: 0.7208062760200272 + +2023-08-09 17:28:06,329 - train: [ INFO] - Test: [ 0/7] Time: 0.931 (0.931) Loss: 0.6028 (0.6028) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:28:07,936 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.317) Loss: 1.1777 (0.7700) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (83.2184)Acc@5: 83.3333 (92.8736) + +2023-08-09 17:28:09,814 - train: [ INFO] - Train: 269 [ 0/65 ( 0%)] Loss: 0.010186 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.591s, 75.40/s LR: 2.504e-05 P_Replacement: 0.7209299629629629 + +2023-08-09 17:28:45,368 - train: [ INFO] - Train: 269 [ 50/65 ( 78%)] Loss: 0.010808 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.77/s LR: 2.504e-05 P_Replacement: 0.7271323664087394 + +2023-08-09 17:28:55,281 - train: [ INFO] - Train: 269 [ 64/65 (100%)] Loss: 0.010728 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 2.504e-05 P_Replacement: 0.7288753917158416 + +2023-08-09 17:28:56,359 - train: [ INFO] - Test: [ 0/7] Time: 0.959 (0.959) Loss: 0.6973 (0.6973) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:28:58,036 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.329) Loss: 0.3932 (0.7584) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (82.6437)Acc@5: 96.6667 (93.5632) + +2023-08-09 17:28:59,837 - train: [ INFO] - Train: 270 [ 0/65 ( 0%)] Loss: 0.010186 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.548s, 77.51/s LR: 2.409e-05 P_Replacement: 0.7290000000000001 + +2023-08-09 17:29:35,232 - train: [ INFO] - Train: 270 [ 50/65 ( 78%)] Loss: 0.010233 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.67/s LR: 2.409e-05 P_Replacement: 0.7352485375680642 + +2023-08-09 17:29:45,107 - train: [ INFO] - Train: 270 [ 64/65 (100%)] Loss: 0.010346 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.61/s LR: 2.409e-05 P_Replacement: 0.7370045039928522 + +2023-08-09 17:29:46,202 - train: [ INFO] - Test: [ 0/7] Time: 0.944 (0.944) Loss: 0.8710 (0.8710) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 90.8333 (90.8333) + +2023-08-09 17:29:47,891 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.329) Loss: 0.4948 (0.7488) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (82.7586)Acc@5: 100.0000 (93.7931) + +2023-08-09 17:29:49,760 - train: [ INFO] - Train: 271 [ 0/65 ( 0%)] Loss: 0.010630 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.610s, 74.53/s LR: 2.318e-05 P_Replacement: 0.7371300370370371 + +2023-08-09 17:30:25,187 - train: [ INFO] - Train: 271 [ 50/65 ( 78%)] Loss: 0.009964 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.25/s LR: 2.318e-05 P_Replacement: 0.7434248796675601 + +2023-08-09 17:30:35,208 - train: [ INFO] - Train: 271 [ 64/65 (100%)] Loss: 0.009902 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 2.318e-05 P_Replacement: 0.7451938350732817 + +2023-08-09 17:30:36,276 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.6539 (0.6539) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:30:37,980 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.330) Loss: 0.3095 (0.7623) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (82.9885)Acc@5: 100.0000 (93.7931) + +2023-08-09 17:30:39,856 - train: [ INFO] - Train: 272 [ 0/65 ( 0%)] Loss: 0.010516 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.601s, 74.97/s LR: 2.229e-05 P_Replacement: 0.7453202962962961 + +2023-08-09 17:31:15,306 - train: [ INFO] - Train: 272 [ 50/65 ( 78%)] Loss: 0.010139 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.19/s LR: 2.229e-05 P_Replacement: 0.7516616149294492 + +2023-08-09 17:31:25,287 - train: [ INFO] - Train: 272 [ 64/65 (100%)] Loss: 0.010052 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.86/s LR: 2.229e-05 P_Replacement: 0.7534436071793522 + +2023-08-09 17:31:26,368 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 0.9400 (0.9400) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:31:28,059 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.327) Loss: 0.9726 (0.7524) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (82.9885)Acc@5: 86.6667 (93.9081) + +2023-08-09 17:31:29,850 - train: [ INFO] - Train: 273 [ 0/65 ( 0%)] Loss: 0.010120 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.538s, 78.04/s LR: 2.143e-05 P_Replacement: 0.7535710000000001 + +2023-08-09 17:32:05,382 - train: [ INFO] - Train: 273 [ 50/65 ( 78%)] Loss: 0.010721 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.10/s LR: 2.143e-05 P_Replacement: 0.7599589655759538 + +2023-08-09 17:32:15,263 - train: [ INFO] - Train: 273 [ 64/65 (100%)] Loss: 0.009728 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.14/s LR: 2.143e-05 P_Replacement: 0.7617540425332862 + +2023-08-09 17:32:16,321 - train: [ INFO] - Test: [ 0/7] Time: 0.933 (0.933) Loss: 0.8078 (0.8078) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 90.8333 (90.8333) + +2023-08-09 17:32:17,939 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.319) Loss: 0.4345 (0.7584) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (83.2184)Acc@5: 100.0000 (93.5632) + +2023-08-09 17:32:19,759 - train: [ INFO] - Train: 274 [ 0/65 ( 0%)] Loss: 0.010333 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.532s, 78.34/s LR: 2.061e-05 P_Replacement: 0.7618823703703703 + +2023-08-09 17:32:55,145 - train: [ INFO] - Train: 274 [ 50/65 ( 78%)] Loss: 0.010407 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.78/s LR: 2.061e-05 P_Replacement: 0.7683171538292958 + +2023-08-09 17:33:05,062 - train: [ INFO] - Train: 274 [ 64/65 (100%)] Loss: 0.010221 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.55/s LR: 2.061e-05 P_Replacement: 0.7701253633573054 + +2023-08-09 17:33:06,109 - train: [ INFO] - Test: [ 0/7] Time: 0.931 (0.931) Loss: 0.7151 (0.7151) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:33:07,813 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.329) Loss: 0.6424 (0.7538) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (83.3333)Acc@5: 93.3333 (93.5632) + +2023-08-09 17:33:08,116 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-274.pth.tar', 83.33333850729055) + +2023-08-09 17:33:09,736 - train: [ INFO] - Train: 275 [ 0/65 ( 0%)] Loss: 0.010787 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.604s, 74.81/s LR: 1.981e-05 P_Replacement: 0.7702546296296295 + +2023-08-09 17:33:45,214 - train: [ INFO] - Train: 275 [ 50/65 ( 78%)] Loss: 0.009838 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.05/s LR: 1.981e-05 P_Replacement: 0.7767364019116977 + +2023-08-09 17:33:55,160 - train: [ INFO] - Train: 275 [ 64/65 (100%)] Loss: 0.010279 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.87/s LR: 1.981e-05 P_Replacement: 0.7785577918736323 + +2023-08-09 17:33:56,209 - train: [ INFO] - Test: [ 0/7] Time: 0.917 (0.917) Loss: 0.5835 (0.5835) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:33:57,795 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.313) Loss: 1.1860 (0.7529) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.4138)Acc@5: 86.6667 (93.6782) + +2023-08-09 17:33:59,670 - train: [ INFO] - Train: 276 [ 0/65 ( 0%)] Loss: 0.010554 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.594s, 75.27/s LR: 1.905e-05 P_Replacement: 0.778688 + +2023-08-09 17:34:35,196 - train: [ INFO] - Train: 276 [ 50/65 ( 78%)] Loss: 0.010779 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.88/s LR: 1.905e-05 P_Replacement: 0.7852169320453818 + +2023-08-09 17:34:45,181 - train: [ INFO] - Train: 276 [ 64/65 (100%)] Loss: 0.010591 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.60/s LR: 1.905e-05 P_Replacement: 0.7870515503044894 + +2023-08-09 17:34:46,335 - train: [ INFO] - Test: [ 0/7] Time: 1.008 (1.008) Loss: 0.8478 (0.8478) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:34:48,071 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.343) Loss: 0.9143 (0.7487) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (83.9081)Acc@5: 93.3333 (93.6782) + +2023-08-09 17:34:48,366 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-276.pth.tar', 83.90805132635708) + +2023-08-09 17:34:49,938 - train: [ INFO] - Train: 277 [ 0/65 ( 0%)] Loss: 0.009627 (0.0096) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.553s, 77.27/s LR: 1.831e-05 P_Replacement: 0.7871827037037037 + +2023-08-09 17:35:25,565 - train: [ INFO] - Train: 277 [ 50/65 ( 78%)] Loss: 0.009672 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.61/s LR: 1.831e-05 P_Replacement: 0.79375896645257 + +2023-08-09 17:35:35,525 - train: [ INFO] - Train: 277 [ 64/65 (100%)] Loss: 0.009865 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.48/s LR: 1.831e-05 P_Replacement: 0.7956068608720983 + +2023-08-09 17:35:36,561 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 0.8040 (0.8040) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:35:38,156 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.314) Loss: 1.1191 (0.7474) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (83.1035)Acc@5: 90.0000 (94.0230) + +2023-08-09 17:35:39,977 - train: [ INFO] - Train: 278 [ 0/65 ( 0%)] Loss: 0.010139 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.571s, 76.39/s LR: 1.761e-05 P_Replacement: 0.7957389629629629 + +2023-08-09 17:36:15,511 - train: [ INFO] - Train: 278 [ 50/65 ( 78%)] Loss: 0.010543 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.95/s LR: 1.761e-05 P_Replacement: 0.8023627273554846 + +2023-08-09 17:36:25,379 - train: [ INFO] - Train: 278 [ 64/65 (100%)] Loss: 0.010235 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.06/s LR: 1.761e-05 P_Replacement: 0.8042239457986816 + +2023-08-09 17:36:26,465 - train: [ INFO] - Test: [ 0/7] Time: 0.934 (0.934) Loss: 0.8283 (0.8283) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:36:28,150 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.327) Loss: 0.4360 (0.7443) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (83.7931)Acc@5: 100.0000 (94.1379) + +2023-08-09 17:36:30,048 - train: [ INFO] - Train: 279 [ 0/65 ( 0%)] Loss: 0.010333 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.631s, 73.60/s LR: 1.694e-05 P_Replacement: 0.8043570000000001 + +2023-08-09 17:37:05,604 - train: [ INFO] - Train: 279 [ 50/65 ( 78%)] Loss: 0.009964 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.61/s LR: 1.694e-05 P_Replacement: 0.8110284369763483 + +2023-08-09 17:37:15,531 - train: [ INFO] - Train: 279 [ 64/65 (100%)] Loss: 0.010205 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.59/s LR: 1.694e-05 P_Replacement: 0.8129030273064618 + +2023-08-09 17:37:16,635 - train: [ INFO] - Test: [ 0/7] Time: 0.964 (0.964) Loss: 0.7417 (0.7417) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:37:18,329 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.332) Loss: 0.5847 (0.7364) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (83.1035)Acc@5: 100.0000 (93.7931) + +2023-08-09 17:37:20,195 - train: [ INFO] - Train: 280 [ 0/65 ( 0%)] Loss: 0.010365 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.585s, 75.71/s LR: 1.629e-05 P_Replacement: 0.8130370370370371 + +2023-08-09 17:37:55,661 - train: [ INFO] - Train: 280 [ 50/65 ( 78%)] Loss: 0.009985 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.19/s LR: 1.629e-05 P_Replacement: 0.8197563175373827 + +2023-08-09 17:38:05,628 - train: [ INFO] - Train: 280 [ 64/65 (100%)] Loss: 0.009834 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 1.629e-05 P_Replacement: 0.8216443276176605 + +2023-08-09 17:38:06,739 - train: [ INFO] - Test: [ 0/7] Time: 0.954 (0.954) Loss: 0.6629 (0.6629) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:38:08,373 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.323) Loss: 0.9042 (0.7469) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.7931)Acc@5: 90.0000 (93.4483) + +2023-08-09 17:38:10,244 - train: [ INFO] - Train: 281 [ 0/65 ( 0%)] Loss: 0.010216 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.593s, 75.31/s LR: 1.568e-05 P_Replacement: 0.8217792962962962 + +2023-08-09 17:38:45,713 - train: [ INFO] - Train: 281 [ 50/65 ( 78%)] Loss: 0.009855 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.14/s LR: 1.568e-05 P_Replacement: 0.8285465912608101 + +2023-08-09 17:38:55,618 - train: [ INFO] - Train: 281 [ 64/65 (100%)] Loss: 0.009772 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.08/s LR: 1.568e-05 P_Replacement: 0.8304480689545002 + +2023-08-09 17:38:56,704 - train: [ INFO] - Test: [ 0/7] Time: 0.922 (0.922) Loss: 0.7192 (0.7192) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:38:58,327 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.318) Loss: 0.6657 (0.7495) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 100.0000 (93.9081) + +2023-08-09 17:39:00,193 - train: [ INFO] - Train: 282 [ 0/65 ( 0%)] Loss: 0.009957 (0.0100) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.605s, 74.75/s LR: 1.510e-05 P_Replacement: 0.8305839999999999 + +2023-08-09 17:39:35,735 - train: [ INFO] - Train: 282 [ 50/65 ( 78%)] Loss: 0.010062 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.76/s LR: 1.510e-05 P_Replacement: 0.8373994803688533 + +2023-08-09 17:39:45,688 - train: [ INFO] - Train: 282 [ 64/65 (100%)] Loss: 0.010213 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.61/s LR: 1.510e-05 P_Replacement: 0.8393144735392034 + +2023-08-09 17:39:46,791 - train: [ INFO] - Test: [ 0/7] Time: 0.959 (0.959) Loss: 0.5428 (0.5428) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:39:48,458 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.328) Loss: 0.9910 (0.7539) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (83.2184)Acc@5: 93.3333 (93.6782) + +2023-08-09 17:39:50,346 - train: [ INFO] - Train: 283 [ 0/65 ( 0%)] Loss: 0.010127 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.609s, 74.57/s LR: 1.455e-05 P_Replacement: 0.8394513703703704 + +2023-08-09 17:40:25,789 - train: [ INFO] - Train: 283 [ 50/65 ( 78%)] Loss: 0.010219 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.21/s LR: 1.455e-05 P_Replacement: 0.8463152070837338 + +2023-08-09 17:40:35,682 - train: [ INFO] - Train: 283 [ 64/65 (100%)] Loss: 0.009710 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.18/s LR: 1.455e-05 P_Replacement: 0.8482437635939919 + +2023-08-09 17:40:36,758 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 0.6559 (0.6559) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:40:38,364 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.317) Loss: 0.5976 (0.7559) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.7586)Acc@5: 96.6667 (93.5632) + +2023-08-09 17:40:40,221 - train: [ INFO] - Train: 284 [ 0/65 ( 0%)] Loss: 0.009735 (0.0097) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.594s, 75.28/s LR: 1.403e-05 P_Replacement: 0.8483816296296296 + +2023-08-09 17:41:15,585 - train: [ INFO] - Train: 284 [ 50/65 ( 78%)] Loss: 0.010826 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.60/s LR: 1.403e-05 P_Replacement: 0.855293993627674 + +2023-08-09 17:41:25,564 - train: [ INFO] - Train: 284 [ 64/65 (100%)] Loss: 0.011658 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.19/s LR: 1.403e-05 P_Replacement: 0.8572361613410879 + +2023-08-09 17:41:26,634 - train: [ INFO] - Test: [ 0/7] Time: 0.928 (0.928) Loss: 0.7685 (0.7685) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:41:28,286 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.322) Loss: 0.3493 (0.7521) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (83.9081)Acc@5: 100.0000 (94.1379) + +2023-08-09 17:41:30,155 - train: [ INFO] - Train: 285 [ 0/65 ( 0%)] Loss: 0.010177 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.604s, 74.80/s LR: 1.355e-05 P_Replacement: 0.8573749999999999 + +2023-08-09 17:42:05,800 - train: [ INFO] - Train: 285 [ 50/65 ( 78%)] Loss: 0.009922 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.32/s LR: 1.355e-05 P_Replacement: 0.8643360622228964 + +2023-08-09 17:42:15,788 - train: [ INFO] - Train: 285 [ 64/65 (100%)] Loss: 0.011195 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.15/s LR: 1.355e-05 P_Replacement: 0.866291889002714 + +2023-08-09 17:42:16,800 - train: [ INFO] - Test: [ 0/7] Time: 0.874 (0.874) Loss: 0.8607 (0.8607) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-09 17:42:18,398 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.309) Loss: 0.9511 (0.7525) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (83.4483)Acc@5: 90.0000 (93.5632) + +2023-08-09 17:42:20,263 - train: [ INFO] - Train: 286 [ 0/65 ( 0%)] Loss: 0.009961 (0.0100) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.559s, 76.97/s LR: 1.309e-05 P_Replacement: 0.8664317037037038 + +2023-08-09 17:42:55,795 - train: [ INFO] - Train: 286 [ 50/65 ( 78%)] Loss: 0.009991 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.01/s LR: 1.309e-05 P_Replacement: 0.8734416350916233 + +2023-08-09 17:43:05,683 - train: [ INFO] - Train: 286 [ 64/65 (100%)] Loss: 0.010092 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 1.309e-05 P_Replacement: 0.8754111688010925 + +2023-08-09 17:43:06,767 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 0.9091 (0.9091) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 90.8333 (90.8333) + +2023-08-09 17:43:08,441 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.325) Loss: 0.5013 (0.7673) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (83.3333)Acc@5: 96.6667 (93.9081) + +2023-08-09 17:43:10,253 - train: [ INFO] - Train: 287 [ 0/65 ( 0%)] Loss: 0.009943 (0.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.532s, 78.34/s LR: 1.266e-05 P_Replacement: 0.875551962962963 + +2023-08-09 17:43:45,770 - train: [ INFO] - Train: 287 [ 50/65 ( 78%)] Loss: 0.009969 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.20/s LR: 1.266e-05 P_Replacement: 0.8826109344560764 + +2023-08-09 17:43:55,701 - train: [ INFO] - Train: 287 [ 64/65 (100%)] Loss: 0.010372 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 1.266e-05 P_Replacement: 0.884594222958445 + +2023-08-09 17:43:56,719 - train: [ INFO] - Test: [ 0/7] Time: 0.879 (0.879) Loss: 0.9779 (0.9779) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 91.6667 (91.6667) + +2023-08-09 17:43:58,347 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.313) Loss: 0.6731 (0.7523) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.5287)Acc@5: 96.6667 (93.6782) + +2023-08-09 17:44:00,099 - train: [ INFO] - Train: 288 [ 0/65 ( 0%)] Loss: 0.009567 (0.0096) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.489s, 80.60/s LR: 1.227e-05 P_Replacement: 0.8847359999999999 + +2023-08-09 17:44:35,666 - train: [ INFO] - Train: 288 [ 50/65 ( 78%)] Loss: 0.010743 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.17/s LR: 1.227e-05 P_Replacement: 0.8918441825384783 + +2023-08-09 17:44:45,621 - train: [ INFO] - Train: 288 [ 64/65 (100%)] Loss: 0.009790 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.93/s LR: 1.227e-05 P_Replacement: 0.8938412736969941 + +2023-08-09 17:44:46,720 - train: [ INFO] - Test: [ 0/7] Time: 0.922 (0.922) Loss: 0.6790 (0.6790) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 92.5000 (92.5000) + +2023-08-09 17:44:48,311 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.314) Loss: 0.3825 (0.7626) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (83.1035)Acc@5: 96.6667 (93.9081) + +2023-08-09 17:44:50,112 - train: [ INFO] - Train: 289 [ 0/65 ( 0%)] Loss: 0.009895 (0.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.521s, 78.91/s LR: 1.191e-05 P_Replacement: 0.8939840370370371 + +2023-08-09 17:45:25,579 - train: [ INFO] - Train: 289 [ 50/65 ( 78%)] Loss: 0.009743 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.47/s LR: 1.191e-05 P_Replacement: 0.9011416015610514 + +2023-08-09 17:45:35,523 - train: [ INFO] - Train: 289 [ 64/65 (100%)] Loss: 0.010047 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.21/s LR: 1.191e-05 P_Replacement: 0.9031525432389623 + +2023-08-09 17:45:36,554 - train: [ INFO] - Test: [ 0/7] Time: 0.888 (0.888) Loss: 0.8289 (0.8289) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:45:38,173 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.313) Loss: 0.8435 (0.7501) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (84.1379)Acc@5: 93.3333 (93.9081) + +2023-08-09 17:45:38,417 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-289.pth.tar', 84.13793603305159) + +2023-08-09 17:45:39,972 - train: [ INFO] - Train: 290 [ 0/65 ( 0%)] Loss: 0.010102 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.538s, 78.03/s LR: 1.158e-05 P_Replacement: 0.9032962962962963 + +2023-08-09 17:46:15,470 - train: [ INFO] - Train: 290 [ 50/65 ( 78%)] Loss: 0.010065 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.26/s LR: 1.158e-05 P_Replacement: 0.9105034137460173 + +2023-08-09 17:46:25,451 - train: [ INFO] - Train: 290 [ 64/65 (100%)] Loss: 0.010174 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.91/s LR: 1.158e-05 P_Replacement: 0.9125282538065712 + +2023-08-09 17:46:26,484 - train: [ INFO] - Test: [ 0/7] Time: 0.904 (0.904) Loss: 0.8675 (0.8675) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:46:28,138 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.320) Loss: 0.9510 (0.7609) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (83.3333)Acc@5: 86.6667 (93.3333) + +2023-08-09 17:46:29,955 - train: [ INFO] - Train: 291 [ 0/65 ( 0%)] Loss: 0.010264 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.553s, 77.28/s LR: 1.128e-05 P_Replacement: 0.912673 + +2023-08-09 17:47:05,458 - train: [ INFO] - Train: 291 [ 50/65 ( 78%)] Loss: 0.010904 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.17/s LR: 1.128e-05 P_Replacement: 0.9199298413155986 + +2023-08-09 17:47:15,378 - train: [ INFO] - Train: 291 [ 64/65 (100%)] Loss: 0.009905 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 1.128e-05 P_Replacement: 0.9219686276220435 + +2023-08-09 17:47:16,469 - train: [ INFO] - Test: [ 0/7] Time: 0.942 (0.942) Loss: 0.7629 (0.7629) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:47:18,014 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.311) Loss: 1.0285 (0.7545) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (83.2184)Acc@5: 96.6667 (93.9081) + +2023-08-09 17:47:19,778 - train: [ INFO] - Train: 292 [ 0/65 ( 0%)] Loss: 0.010270 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.524s, 78.75/s LR: 1.101e-05 P_Replacement: 0.9221143703703705 + +2023-08-09 17:47:55,241 - train: [ INFO] - Train: 292 [ 50/65 ( 78%)] Loss: 0.010471 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.49/s LR: 1.101e-05 P_Replacement: 0.9294211064920178 + +2023-08-09 17:48:05,233 - train: [ INFO] - Train: 292 [ 64/65 (100%)] Loss: 0.010014 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.06/s LR: 1.101e-05 P_Replacement: 0.9314738869076014 + +2023-08-09 17:48:06,342 - train: [ INFO] - Test: [ 0/7] Time: 0.961 (0.961) Loss: 0.7512 (0.7512) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:48:07,972 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.324) Loss: 0.6680 (0.7689) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (83.3333)Acc@5: 93.3333 (93.1035) + +2023-08-09 17:48:09,885 - train: [ INFO] - Train: 293 [ 0/65 ( 0%)] Loss: 0.009904 (0.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.631s, 73.58/s LR: 1.077e-05 P_Replacement: 0.9316206296296297 + +2023-08-09 17:48:45,394 - train: [ INFO] - Train: 293 [ 50/65 ( 78%)] Loss: 0.010027 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.79/s LR: 1.077e-05 P_Replacement: 0.9389774314974966 + +2023-08-09 17:48:55,307 - train: [ INFO] - Train: 293 [ 64/65 (100%)] Loss: 0.010217 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.78/s LR: 1.077e-05 P_Replacement: 0.9410442538854668 + +2023-08-09 17:48:56,372 - train: [ INFO] - Test: [ 0/7] Time: 0.907 (0.907) Loss: 0.6245 (0.6245) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:48:57,922 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.307) Loss: 0.6844 (0.7481) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.9081)Acc@5: 96.6667 (93.7931) + +2023-08-09 17:48:59,779 - train: [ INFO] - Train: 294 [ 0/65 ( 0%)] Loss: 0.010858 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.595s, 75.23/s LR: 1.057e-05 P_Replacement: 0.9411919999999999 + +2023-08-09 17:49:35,410 - train: [ INFO] - Train: 294 [ 50/65 ( 78%)] Loss: 0.009874 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.41/s LR: 1.057e-05 P_Replacement: 0.9485990385542574 + +2023-08-09 17:49:45,296 - train: [ INFO] - Train: 294 [ 64/65 (100%)] Loss: 0.010064 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.57/s LR: 1.057e-05 P_Replacement: 0.950679950777862 + +2023-08-09 17:49:46,388 - train: [ INFO] - Test: [ 0/7] Time: 0.960 (0.960) Loss: 0.6404 (0.6404) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:49:48,042 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.327) Loss: 0.9376 (0.7491) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (83.9081)Acc@5: 96.6667 (93.7931) + +2023-08-09 17:49:49,843 - train: [ INFO] - Train: 295 [ 0/65 ( 0%)] Loss: 0.010449 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.534s, 78.21/s LR: 1.039e-05 P_Replacement: 0.9508287037037035 + +2023-08-09 17:50:25,395 - train: [ INFO] - Train: 295 [ 50/65 ( 78%)] Loss: 0.010258 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.03/s LR: 1.039e-05 P_Replacement: 0.9582861498845228 + +2023-08-09 17:50:35,401 - train: [ INFO] - Train: 295 [ 64/65 (100%)] Loss: 0.009968 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.64/s LR: 1.039e-05 P_Replacement: 0.9603811998070094 + +2023-08-09 17:50:36,452 - train: [ INFO] - Test: [ 0/7] Time: 0.922 (0.922) Loss: 0.7389 (0.7389) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:50:38,126 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.325) Loss: 0.7472 (0.7501) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (83.4483)Acc@5: 90.0000 (93.2184) + +2023-08-09 17:50:39,965 - train: [ INFO] - Train: 296 [ 0/65 ( 0%)] Loss: 0.011715 (0.0117) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.583s, 75.79/s LR: 1.025e-05 P_Replacement: 0.960530962962963 + +2023-08-09 17:51:15,565 - train: [ INFO] - Train: 296 [ 50/65 ( 78%)] Loss: 0.010146 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.60/s LR: 1.025e-05 P_Replacement: 0.9680389877105143 + +2023-08-09 17:51:25,493 - train: [ INFO] - Train: 296 [ 64/65 (100%)] Loss: 0.010399 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.58/s LR: 1.025e-05 P_Replacement: 0.9701482231951315 + +2023-08-09 17:51:26,564 - train: [ INFO] - Test: [ 0/7] Time: 0.911 (0.911) Loss: 0.8469 (0.8469) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:51:28,203 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.319) Loss: 0.3361 (0.7533) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (84.1379)Acc@5: 100.0000 (94.1379) + +2023-08-09 17:51:28,468 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.0-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-296.pth.tar', 84.1379368222993) + +2023-08-09 17:51:30,125 - train: [ INFO] - Train: 297 [ 0/65 ( 0%)] Loss: 0.010606 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.638s, 73.24/s LR: 1.014e-05 P_Replacement: 0.970299 + +2023-08-09 17:52:05,569 - train: [ INFO] - Train: 297 [ 50/65 ( 78%)] Loss: 0.010245 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.05/s LR: 1.014e-05 P_Replacement: 0.9778577742544546 + +2023-08-09 17:52:15,529 - train: [ INFO] - Train: 297 [ 64/65 (100%)] Loss: 0.010433 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.82/s LR: 1.014e-05 P_Replacement: 0.9799812431644498 + +2023-08-09 17:52:16,636 - train: [ INFO] - Test: [ 0/7] Time: 0.960 (0.960) Loss: 0.7727 (0.7727) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:52:18,226 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.319) Loss: 0.5334 (0.7654) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (83.3333)Acc@5: 96.6667 (93.5632) + +2023-08-09 17:52:20,055 - train: [ INFO] - Train: 298 [ 0/65 ( 0%)] Loss: 0.009736 (0.0097) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.586s, 75.68/s LR: 1.006e-05 P_Replacement: 0.9801330370370369 + +2023-08-09 17:52:55,532 - train: [ INFO] - Train: 298 [ 50/65 ( 78%)] Loss: 0.009984 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.14/s LR: 1.006e-05 P_Replacement: 0.9877427317385659 + +2023-08-09 17:53:05,525 - train: [ INFO] - Train: 298 [ 64/65 (100%)] Loss: 0.009946 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 1.006e-05 P_Replacement: 0.9898804819371869 + +2023-08-09 17:53:06,588 - train: [ INFO] - Test: [ 0/7] Time: 0.918 (0.918) Loss: 0.7691 (0.7691) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:53:08,171 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.313) Loss: 0.8133 (0.7561) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (83.3333)Acc@5: 93.3333 (93.7931) + +2023-08-09 17:53:10,034 - train: [ INFO] - Train: 299 [ 0/65 ( 0%)] Loss: 0.010403 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.602s, 74.90/s LR: 1.002e-05 P_Replacement: 0.9900332962962964 + +2023-08-09 17:53:45,579 - train: [ INFO] - Train: 299 [ 50/65 ( 78%)] Loss: 0.009811 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.76/s LR: 1.002e-05 P_Replacement: 0.9976940823850706 + +2023-08-09 17:53:55,539 - train: [ INFO] - Train: 299 [ 64/65 (100%)] Loss: 0.010293 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.59/s LR: 1.002e-05 P_Replacement: 0.9998461617355654 + +2023-08-09 17:53:56,578 - train: [ INFO] - Test: [ 0/7] Time: 0.896 (0.896) Loss: 0.7823 (0.7823) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 91.6667 (91.6667) + +2023-08-09 17:53:58,171 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.311) Loss: 0.2659 (0.7591) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (83.5632)Acc@5: 100.0000 (93.2184) + +2023-08-09 17:53:58,473 - train: [ INFO] - *** Best metric: 84.1379368222993 (epoch 296) diff --git 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b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/args.yaml @@ -0,0 +1,148 @@ +DVS_DA: false +TET_loss: true +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptive_node: false +amp: false +apex_amp: false +aug_splits: 0 +batch_size: 120 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cut_mix: false +cutmix: 1.0 +cutmix_beta: 1.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +decay_epochs: 30 +decay_rate: 0.1 +device: 6 +dist_bn: '' +domain_loss: true +domain_loss_coefficient: 0.5 +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +encode: direct +epochs: 300 +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: '' +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: 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 +min_lr: 1.0e-05 +mix_up: false +mixup: 0.8 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 1.0 +mixup_switch_prob: 0.5 +model: Transfer_VGG_SNN +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_groups: 1 +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +no_sliding_training: true +no_use_hsv: false +node_resume: '' +node_trainable: false +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 101 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: /home/hexiang/DomainAdaptation_DVS/Results2/ +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +regularization: true +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +rgbdata_ratio: 1.0 +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 42 +sigmoid_thres: false +smoothing: 0.0 +snr: 0 +source_dataset: CALTECH101 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 10 +suffix: '' +sync_bn: false +target_dataset: NCALTECH101 +tau: 2.0 +temporal_flatten: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.9 +traindata_ratio: 1.0 +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: 0.01 +workers: 8 diff --git a/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/log.txt b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb62c00a58021861c4eb26ff395eb98cc6eec880 --- /dev/null +++ b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/log.txt @@ -0,0 +1,3129 @@ +2023-08-10 12:52:03,401 - train: [ INFO] - Training with a single process on 1 GPUs. +2023-08-10 12:52:03,475 - train: [ INFO] - learning rate is 0.000586 +2023-08-10 12:52:03,475 - train: [ INFO] - Model Transfer_VGG_SNN created, param count: 10153700 +2023-08-10 12:52:06,046 - train: [ INFO] - AMP not enabled. Training in float32. +2023-08-10 12:52:06,047 - train: [ INFO] - Scheduled epochs: 310 +2023-08-10 12:52:20,672 - train: [ INFO] - Train: 0 [ 0/65 ( 0%)] Loss: 5.857461 (5.8575) Acc@1: 0.8333 ( 0.8333) Acc@5: 1.6667 ( 1.6667) Time: 5.151s, 23.29/s LR: 1.000e-06 P_Replacement: 0.0 + +2023-08-10 12:52:56,018 - train: [ INFO] - Train: 0 [ 50/65 ( 78%)] Loss: 5.830937 (5.8503) Acc@1: 0.8333 ( 0.5719) Acc@5: 4.1667 ( 4.6405) Time: 0.794s, 151.13/s LR: 1.000e-06 P_Replacement: 0.0 + +2023-08-10 12:53:05,960 - train: [ INFO] - Train: 0 [ 64/65 (100%)] Loss: 5.829437 (5.8472) Acc@1: 0.8333 ( 0.6026) Acc@5: 4.1667 ( 4.7179) Time: 0.776s, 154.65/s LR: 1.000e-06 P_Replacement: 0.0 + +2023-08-10 12:53:06,910 - train: [ INFO] - Test: [ 0/7] Time: 0.892 (0.892) Loss: 4.6233 (4.6233) cLoss: 0.0000 (0.0000) Acc@1: 0.0000 ( 0.0000)Acc@5: 2.5000 ( 2.5000) + +2023-08-10 12:53:08,587 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.321) Loss: 4.6272 (4.6192) cLoss: 0.0000 (0.0000) Acc@1: 0.0000 ( 0.4598)Acc@5: 0.0000 ( 3.7931) + +2023-08-10 12:53:08,848 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-0.pth.tar', 0.45977013686607626) + +2023-08-10 12:53:10,353 - train: [ INFO] - Train: 1 [ 0/65 ( 0%)] Loss: 5.847636 (5.8476) Acc@1: 0.0000 ( 0.0000) Acc@5: 7.5000 ( 7.5000) Time: 1.504s, 79.76/s LR: 1.180e-04 P_Replacement: 0.0 + +2023-08-10 12:53:45,804 - train: [ INFO] - Train: 1 [ 50/65 ( 78%)] Loss: 4.905907 (5.3843) Acc@1: 12.5000 ( 6.3072) Acc@5: 29.1667 (19.0359) Time: 0.725s, 165.62/s LR: 1.180e-04 P_Replacement: 0.0 + +2023-08-10 12:53:55,685 - train: [ INFO] - Train: 1 [ 64/65 (100%)] Loss: 4.675981 (5.2588) Acc@1: 18.3333 ( 7.8718) Acc@5: 31.6667 (21.8462) Time: 0.720s, 166.55/s LR: 1.180e-04 P_Replacement: 0.0 + +2023-08-10 12:53:56,685 - train: [ INFO] - Test: [ 0/7] Time: 0.897 (0.897) Loss: 4.3106 (4.3106) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 25.0000 (25.0000) + +2023-08-10 12:53:58,337 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.319) Loss: 4.6075 (4.4219) cLoss: 0.0000 (0.0000) Acc@1: 0.0000 ( 6.0920)Acc@5: 6.6667 (17.1264) + +2023-08-10 12:53:58,601 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-1.pth.tar', 6.091954395688814) + +2023-08-10 12:54:00,185 - train: [ INFO] - Train: 2 [ 0/65 ( 0%)] Loss: 4.585348 (4.5853) Acc@1: 15.0000 (15.0000) Acc@5: 39.1667 (39.1667) Time: 1.565s, 76.69/s LR: 2.350e-04 P_Replacement: 0.0 + +2023-08-10 12:54:35,584 - train: [ INFO] - Train: 2 [ 50/65 ( 78%)] Loss: 3.596408 (4.1646) Acc@1: 17.5000 (19.0359) Acc@5: 47.5000 (41.6503) Time: 0.725s, 165.58/s LR: 2.350e-04 P_Replacement: 0.0 + +2023-08-10 12:54:45,509 - train: [ INFO] - Train: 2 [ 64/65 (100%)] Loss: 3.468940 (4.0359) Acc@1: 26.6667 (20.3974) Acc@5: 61.6667 (43.9359) Time: 0.721s, 166.36/s LR: 2.350e-04 P_Replacement: 0.0 + +2023-08-10 12:54:46,545 - train: [ INFO] - Test: [ 0/7] Time: 0.929 (0.929) Loss: 4.1892 (4.1892) cLoss: 0.0000 (0.0000) Acc@1: 9.1667 ( 9.1667)Acc@5: 20.0000 (20.0000) + +2023-08-10 12:54:48,249 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.329) Loss: 3.9421 (4.2682) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 ( 6.7816)Acc@5: 23.3333 (19.0805) + +2023-08-10 12:54:48,483 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-2.pth.tar', 6.781609535217285) + +2023-08-10 12:54:50,052 - train: [ INFO] - Train: 3 [ 0/65 ( 0%)] Loss: 3.347655 (3.3477) Acc@1: 29.1667 (29.1667) Acc@5: 57.5000 (57.5000) Time: 1.553s, 77.28/s LR: 3.520e-04 P_Replacement: 0.0 + +2023-08-10 12:55:25,382 - train: [ INFO] - Train: 3 [ 50/65 ( 78%)] Loss: 2.519118 (3.0756) Acc@1: 31.6667 (31.4706) Acc@5: 65.8333 (59.1013) Time: 0.723s, 165.96/s LR: 3.520e-04 P_Replacement: 0.0 + +2023-08-10 12:55:35,316 - train: [ INFO] - Train: 3 [ 64/65 (100%)] Loss: 2.403991 (2.9750) Acc@1: 41.6667 (33.0000) Acc@5: 68.3333 (60.3718) Time: 0.720s, 166.63/s LR: 3.520e-04 P_Replacement: 0.0 + +2023-08-10 12:55:36,352 - train: [ INFO] - Test: [ 0/7] Time: 0.912 (0.912) Loss: 3.4591 (3.4591) cLoss: 0.0000 (0.0000) Acc@1: 21.6667 (21.6667)Acc@5: 45.0000 (45.0000) + +2023-08-10 12:55:38,023 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.323) Loss: 3.2218 (3.6682) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (15.8621)Acc@5: 46.6667 (37.4713) + +2023-08-10 12:55:38,272 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-3.pth.tar', 15.862069688994309) + +2023-08-10 12:55:39,795 - train: [ INFO] - Train: 4 [ 0/65 ( 0%)] Loss: 2.551330 (2.5513) Acc@1: 38.3333 (38.3333) Acc@5: 68.3333 (68.3333) Time: 1.510s, 79.46/s LR: 4.689e-04 P_Replacement: 0.0 + +2023-08-10 12:56:15,154 - train: [ INFO] - Train: 4 [ 50/65 ( 78%)] Loss: 2.093538 (2.2502) Acc@1: 47.5000 (43.9052) Acc@5: 74.1667 (70.8333) Time: 0.723s, 166.00/s LR: 4.689e-04 P_Replacement: 0.0 + +2023-08-10 12:56:25,047 - train: [ INFO] - Train: 4 [ 64/65 (100%)] Loss: 1.814495 (2.1838) Acc@1: 49.1667 (45.1154) Acc@5: 73.3333 (71.7692) Time: 0.719s, 166.81/s LR: 4.689e-04 P_Replacement: 0.0 + +2023-08-10 12:56:26,102 - train: [ INFO] - Test: [ 0/7] Time: 0.942 (0.942) Loss: 3.6519 (3.6519) cLoss: 0.0000 (0.0000) Acc@1: 15.0000 (15.0000)Acc@5: 38.3333 (38.3333) + +2023-08-10 12:56:27,797 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.330) Loss: 3.5464 (3.5096) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (18.1609)Acc@5: 43.3333 (43.1035) + +2023-08-10 12:56:28,024 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-4.pth.tar', 18.160920241783405) + +2023-08-10 12:56:29,528 - train: [ INFO] - Train: 5 [ 0/65 ( 0%)] Loss: 2.195504 (2.1955) Acc@1: 41.6667 (41.6667) Acc@5: 65.8333 (65.8333) Time: 1.488s, 80.67/s LR: 5.855e-04 P_Replacement: 0.0 + +2023-08-10 12:57:04,726 - train: [ INFO] - Train: 5 [ 50/65 ( 78%)] Loss: 1.480717 (1.7555) Acc@1: 62.5000 (53.4314) Acc@5: 88.3333 (78.6601) Time: 0.719s, 166.83/s LR: 5.855e-04 P_Replacement: 0.0 + +2023-08-10 12:57:14,621 - train: [ INFO] - Train: 5 [ 64/65 (100%)] Loss: 1.401319 (1.6863) Acc@1: 55.8333 (54.0641) Acc@5: 80.8333 (79.3077) Time: 0.717s, 167.46/s LR: 5.855e-04 P_Replacement: 0.0 + +2023-08-10 12:57:15,634 - train: [ INFO] - Test: [ 0/7] Time: 0.879 (0.879) Loss: 2.7145 (2.7145) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (32.5000)Acc@5: 60.0000 (60.0000) + +2023-08-10 12:57:17,235 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.310) Loss: 2.4091 (2.7168) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (35.4023)Acc@5: 66.6667 (61.0345) + +2023-08-10 12:57:17,500 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-5.pth.tar', 35.40230020983466) + +2023-08-10 12:57:19,056 - train: [ INFO] - Train: 6 [ 0/65 ( 0%)] Loss: 1.259989 (1.2600) Acc@1: 60.0000 (60.0000) Acc@5: 85.8333 (85.8333) Time: 1.538s, 78.03/s LR: 5.854e-04 P_Replacement: 0.0 + +2023-08-10 12:57:54,367 - train: [ INFO] - Train: 6 [ 50/65 ( 78%)] Loss: 1.285712 (1.2563) Acc@1: 65.0000 (60.6863) Acc@5: 89.1667 (83.3170) Time: 0.722s, 166.09/s LR: 5.854e-04 P_Replacement: 0.0 + +2023-08-10 12:58:04,191 - train: [ INFO] - Train: 6 [ 64/65 (100%)] Loss: 1.017095 (1.2301) Acc@1: 64.1667 (61.4487) Acc@5: 89.1667 (83.9231) Time: 0.718s, 167.13/s LR: 5.854e-04 P_Replacement: 0.0 + +2023-08-10 12:58:05,205 - train: [ INFO] - Test: [ 0/7] Time: 0.885 (0.885) Loss: 2.7498 (2.7498) cLoss: 0.0000 (0.0000) Acc@1: 34.1667 (34.1667)Acc@5: 58.3333 (58.3333) + +2023-08-10 12:58:06,835 - train: [ INFO] - Test: [ 7/7] Time: 0.072 (0.314) Loss: 2.3690 (2.6510) cLoss: 0.0000 (0.0000) Acc@1: 33.3333 (34.3678)Acc@5: 63.3333 (63.4483) + +2023-08-10 12:58:08,639 - train: [ INFO] - Train: 7 [ 0/65 ( 0%)] Loss: 1.200798 (1.2008) Acc@1: 56.6667 (56.6667) Acc@5: 83.3333 (83.3333) Time: 1.555s, 77.18/s LR: 5.852e-04 P_Replacement: 0.0 + +2023-08-10 12:58:43,944 - train: [ INFO] - Train: 7 [ 50/65 ( 78%)] Loss: 0.779981 (0.9541) Acc@1: 80.8333 (66.4869) Acc@5: 91.6667 (87.4346) Time: 0.723s, 166.04/s LR: 5.852e-04 P_Replacement: 0.0 + +2023-08-10 12:58:53,867 - train: [ INFO] - Train: 7 [ 64/65 (100%)] Loss: 0.658422 (0.9198) Acc@1: 75.8333 (67.0513) Acc@5: 93.3333 (87.8590) Time: 0.720s, 166.74/s LR: 5.852e-04 P_Replacement: 0.0 + +2023-08-10 12:58:54,896 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 2.2167 (2.2167) cLoss: 0.0000 (0.0000) Acc@1: 50.8333 (50.8333)Acc@5: 69.1667 (69.1667) + +2023-08-10 12:58:56,624 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.330) Loss: 2.6541 (2.4752) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (43.5632)Acc@5: 60.0000 (66.8966) + +2023-08-10 12:58:56,852 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-7.pth.tar', 43.563220451618065) + +2023-08-10 12:58:58,412 - train: [ INFO] - Train: 8 [ 0/65 ( 0%)] Loss: 0.762268 (0.7623) Acc@1: 66.6667 (66.6667) Acc@5: 90.0000 (90.0000) Time: 1.547s, 77.58/s LR: 5.849e-04 P_Replacement: 0.0 + +2023-08-10 12:59:33,724 - train: [ INFO] - Train: 8 [ 50/65 ( 78%)] Loss: 0.593549 (0.6896) Acc@1: 75.0000 (71.2909) Acc@5: 90.8333 (90.6863) Time: 0.723s, 166.05/s LR: 5.849e-04 P_Replacement: 0.0 + +2023-08-10 12:59:43,616 - train: [ INFO] - Train: 8 [ 64/65 (100%)] Loss: 0.618283 (0.6724) Acc@1: 77.5000 (72.0000) Acc@5: 92.5000 (90.8718) Time: 0.719s, 166.85/s LR: 5.849e-04 P_Replacement: 0.0 + +2023-08-10 12:59:44,630 - train: [ INFO] - Test: [ 0/7] Time: 0.887 (0.887) Loss: 2.3226 (2.3226) cLoss: 0.0000 (0.0000) Acc@1: 39.1667 (39.1667)Acc@5: 68.3333 (68.3333) + +2023-08-10 12:59:46,252 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.314) Loss: 2.3983 (2.3462) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (41.8391)Acc@5: 63.3333 (70.3448) + +2023-08-10 12:59:48,031 - train: [ INFO] - Train: 9 [ 0/65 ( 0%)] Loss: 0.528594 (0.5286) Acc@1: 77.5000 (77.5000) Acc@5: 95.8333 (95.8333) Time: 1.508s, 79.59/s LR: 5.847e-04 P_Replacement: 0.0 + +2023-08-10 13:00:23,298 - train: [ INFO] - Train: 9 [ 50/65 ( 78%)] Loss: 0.411284 (0.5108) Acc@1: 80.0000 (77.5980) Acc@5: 93.3333 (93.9216) Time: 0.721s, 166.42/s LR: 5.847e-04 P_Replacement: 0.0 + +2023-08-10 13:00:33,203 - train: [ INFO] - Train: 9 [ 64/65 (100%)] Loss: 0.488009 (0.5080) Acc@1: 79.1667 (77.5897) Acc@5: 95.8333 (94.0128) Time: 0.718s, 167.10/s LR: 5.847e-04 P_Replacement: 0.0 + +2023-08-10 13:00:34,208 - train: [ INFO] - Test: [ 0/7] Time: 0.903 (0.903) Loss: 2.1043 (2.1043) cLoss: 0.0000 (0.0000) Acc@1: 51.6667 (51.6667)Acc@5: 75.8333 (75.8333) + +2023-08-10 13:00:35,812 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.313) Loss: 1.8344 (2.2490) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (45.5172)Acc@5: 76.6667 (70.8046) + +2023-08-10 13:00:36,077 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-9.pth.tar', 45.51724414167733) + +2023-08-10 13:00:37,668 - train: [ INFO] - Train: 10 [ 0/65 ( 0%)] Loss: 0.475963 (0.4760) Acc@1: 75.8333 (75.8333) Acc@5: 90.8333 (90.8333) Time: 1.575s, 76.18/s LR: 5.844e-04 P_Replacement: 0.0 + +2023-08-10 13:01:12,949 - train: [ INFO] - Train: 10 [ 50/65 ( 78%)] Loss: 0.387167 (0.4066) Acc@1: 83.3333 (81.0784) Acc@5: 97.5000 (95.1634) Time: 0.723s, 166.06/s LR: 5.844e-04 P_Replacement: 0.0 + +2023-08-10 13:01:22,852 - train: [ INFO] - Train: 10 [ 64/65 (100%)] Loss: 0.344600 (0.3944) Acc@1: 86.6667 (81.7051) Acc@5: 95.8333 (95.3205) Time: 0.719s, 166.82/s LR: 5.844e-04 P_Replacement: 0.0 + +2023-08-10 13:01:23,832 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 2.0124 (2.0124) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (53.3333)Acc@5: 75.0000 (75.0000) + +2023-08-10 13:01:25,454 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.314) Loss: 1.4518 (1.9722) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (51.0345)Acc@5: 90.0000 (76.4368) + +2023-08-10 13:01:25,714 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-10.pth.tar', 51.034485257905104) + +2023-08-10 13:01:27,294 - train: [ INFO] - Train: 11 [ 0/65 ( 0%)] Loss: 0.392535 (0.3925) Acc@1: 80.8333 (80.8333) Acc@5: 97.5000 (97.5000) Time: 1.561s, 76.86/s LR: 5.840e-04 P_Replacement: 0.0 + +2023-08-10 13:02:02,694 - train: [ INFO] - Train: 11 [ 50/65 ( 78%)] Loss: 0.321121 (0.3334) Acc@1: 82.5000 (85.3268) Acc@5: 95.8333 (96.5686) Time: 0.725s, 165.58/s LR: 5.840e-04 P_Replacement: 0.0 + +2023-08-10 13:02:12,535 - train: [ INFO] - Train: 11 [ 64/65 (100%)] Loss: 0.273746 (0.3267) Acc@1: 85.0000 (85.5385) Acc@5: 97.5000 (96.7051) Time: 0.720s, 166.67/s LR: 5.840e-04 P_Replacement: 0.0 + +2023-08-10 13:02:13,605 - train: [ INFO] - Test: [ 0/7] Time: 0.945 (0.945) Loss: 2.0270 (2.0270) cLoss: 0.0000 (0.0000) Acc@1: 50.8333 (50.8333)Acc@5: 77.5000 (77.5000) + +2023-08-10 13:02:15,331 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.334) Loss: 2.0394 (2.0505) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (48.8506)Acc@5: 80.0000 (75.6322) + +2023-08-10 13:02:17,131 - train: [ INFO] - Train: 12 [ 0/65 ( 0%)] Loss: 0.354795 (0.3548) Acc@1: 82.5000 (82.5000) Acc@5: 100.0000 (100.0000) Time: 1.563s, 76.80/s LR: 5.837e-04 P_Replacement: 0.0 + +2023-08-10 13:02:52,352 - train: [ INFO] - Train: 12 [ 50/65 ( 78%)] Loss: 0.253935 (0.2743) Acc@1: 92.5000 (88.4150) Acc@5: 99.1667 (97.6471) Time: 0.721s, 166.38/s LR: 5.837e-04 P_Replacement: 0.0 + +2023-08-10 13:03:02,271 - train: [ INFO] - Train: 12 [ 64/65 (100%)] Loss: 0.238486 (0.2690) Acc@1: 94.1667 (88.6539) Acc@5: 100.0000 (97.7564) Time: 0.718s, 167.02/s LR: 5.837e-04 P_Replacement: 0.0 + +2023-08-10 13:03:03,422 - train: [ INFO] - Test: [ 0/7] Time: 0.990 (0.990) Loss: 1.8654 (1.8654) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (53.3333)Acc@5: 75.8333 (75.8333) + +2023-08-10 13:03:05,147 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.339) Loss: 2.1167 (1.9802) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (51.7241)Acc@5: 70.0000 (76.0920) + +2023-08-10 13:03:05,392 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-12.pth.tar', 51.72414121956661) + +2023-08-10 13:03:07,013 - train: [ INFO] - Train: 13 [ 0/65 ( 0%)] Loss: 0.229440 (0.2294) Acc@1: 90.0000 (90.0000) Acc@5: 98.3333 (98.3333) Time: 1.605s, 74.76/s LR: 5.833e-04 P_Replacement: 0.0 + +2023-08-10 13:03:42,254 - train: [ INFO] - Train: 13 [ 50/65 ( 78%)] Loss: 0.196252 (0.2239) Acc@1: 91.6667 (90.6863) Acc@5: 98.3333 (98.1863) Time: 0.722s, 166.10/s LR: 5.833e-04 P_Replacement: 0.0 + +2023-08-10 13:03:52,186 - train: [ INFO] - Train: 13 [ 64/65 (100%)] Loss: 0.190443 (0.2173) Acc@1: 95.0000 (91.1539) Acc@5: 98.3333 (98.2564) Time: 0.720s, 166.76/s LR: 5.833e-04 P_Replacement: 0.0 + +2023-08-10 13:03:53,209 - train: [ INFO] - Test: [ 0/7] Time: 0.931 (0.931) Loss: 1.9972 (1.9972) cLoss: 0.0000 (0.0000) Acc@1: 50.8333 (50.8333)Acc@5: 75.8333 (75.8333) + +2023-08-10 13:03:54,906 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.329) Loss: 1.7679 (1.9963) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (50.8046)Acc@5: 80.0000 (76.3218) + +2023-08-10 13:03:56,694 - train: [ INFO] - Train: 14 [ 0/65 ( 0%)] Loss: 0.164841 (0.1648) Acc@1: 94.1667 (94.1667) Acc@5: 99.1667 (99.1667) Time: 1.523s, 78.78/s LR: 5.828e-04 P_Replacement: 0.0 + +2023-08-10 13:04:31,952 - train: [ INFO] - Train: 14 [ 50/65 ( 78%)] Loss: 0.168653 (0.1863) Acc@1: 95.8333 (93.2190) Acc@5: 98.3333 (98.8562) Time: 0.721s, 166.40/s LR: 5.828e-04 P_Replacement: 0.0 + +2023-08-10 13:04:41,843 - train: [ INFO] - Train: 14 [ 64/65 (100%)] Loss: 0.150568 (0.1830) Acc@1: 95.0000 (93.2949) Acc@5: 100.0000 (98.8718) Time: 0.718s, 167.13/s LR: 5.828e-04 P_Replacement: 0.0 + +2023-08-10 13:04:42,878 - train: [ INFO] - Test: [ 0/7] Time: 0.899 (0.899) Loss: 2.3576 (2.3576) cLoss: 0.0000 (0.0000) Acc@1: 47.5000 (47.5000)Acc@5: 68.3333 (68.3333) + +2023-08-10 13:04:44,587 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.326) Loss: 2.4738 (2.0946) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (47.4713)Acc@5: 60.0000 (75.5172) + +2023-08-10 13:04:46,453 - train: [ INFO] - Train: 15 [ 0/65 ( 0%)] Loss: 0.180525 (0.1805) Acc@1: 91.6667 (91.6667) Acc@5: 97.5000 (97.5000) Time: 1.586s, 75.68/s LR: 5.824e-04 P_Replacement: 0.0 + +2023-08-10 13:05:21,735 - train: [ INFO] - Train: 15 [ 50/65 ( 78%)] Loss: 0.131176 (0.1644) Acc@1: 95.8333 (93.9706) Acc@5: 100.0000 (99.1667) Time: 0.723s, 166.01/s LR: 5.824e-04 P_Replacement: 0.0 + +2023-08-10 13:05:31,651 - train: [ INFO] - Train: 15 [ 64/65 (100%)] Loss: 0.173513 (0.1614) Acc@1: 93.3333 (94.2436) Acc@5: 99.1667 (99.1539) Time: 0.720s, 166.73/s LR: 5.824e-04 P_Replacement: 0.0 + +2023-08-10 13:05:32,675 - train: [ INFO] - Test: [ 0/7] Time: 0.929 (0.929) Loss: 2.6668 (2.6668) cLoss: 0.0000 (0.0000) Acc@1: 45.0000 (45.0000)Acc@5: 65.8333 (65.8333) + +2023-08-10 13:05:34,388 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.330) Loss: 1.9325 (2.3592) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (45.2874)Acc@5: 80.0000 (70.3448) + +2023-08-10 13:05:36,181 - train: [ INFO] - Train: 16 [ 0/65 ( 0%)] Loss: 0.141987 (0.1420) Acc@1: 95.8333 (95.8333) Acc@5: 99.1667 (99.1667) Time: 1.505s, 79.71/s LR: 5.819e-04 P_Replacement: 0.0 + +2023-08-10 13:06:11,491 - train: [ INFO] - Train: 16 [ 50/65 ( 78%)] Loss: 0.150943 (0.1522) Acc@1: 95.0000 (95.2288) Acc@5: 99.1667 (99.3301) Time: 0.722s, 166.26/s LR: 5.819e-04 P_Replacement: 0.0 + +2023-08-10 13:06:21,389 - train: [ INFO] - Train: 16 [ 64/65 (100%)] Loss: 0.146912 (0.1476) Acc@1: 96.6667 (95.5000) Acc@5: 98.3333 (99.2821) Time: 0.719s, 167.00/s LR: 5.819e-04 P_Replacement: 0.0 + +2023-08-10 13:06:22,521 - train: [ INFO] - Test: [ 0/7] Time: 0.960 (0.960) Loss: 2.0537 (2.0537) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (50.0000)Acc@5: 80.0000 (80.0000) + +2023-08-10 13:06:24,147 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.323) Loss: 2.5318 (2.0403) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (49.4253)Acc@5: 63.3333 (75.6322) + +2023-08-10 13:06:25,952 - train: [ INFO] - Train: 17 [ 0/65 ( 0%)] Loss: 0.110710 (0.1107) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 1.559s, 76.96/s LR: 5.814e-04 P_Replacement: 0.0 + +2023-08-10 13:07:01,179 - train: [ INFO] - Train: 17 [ 50/65 ( 78%)] Loss: 0.109098 (0.1242) Acc@1: 98.3333 (96.5850) Acc@5: 100.0000 (99.4771) Time: 0.721s, 166.38/s LR: 5.814e-04 P_Replacement: 0.0 + +2023-08-10 13:07:11,070 - train: [ INFO] - Train: 17 [ 64/65 (100%)] Loss: 0.127032 (0.1222) Acc@1: 96.6667 (96.6410) Acc@5: 100.0000 (99.5128) Time: 0.718s, 167.11/s LR: 5.814e-04 P_Replacement: 0.0 + +2023-08-10 13:07:12,046 - train: [ INFO] - Test: [ 0/7] Time: 0.885 (0.885) Loss: 2.1278 (2.1278) cLoss: 0.0000 (0.0000) Acc@1: 47.5000 (47.5000)Acc@5: 72.5000 (72.5000) + +2023-08-10 13:07:13,760 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.325) Loss: 1.6726 (1.8955) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (53.1035)Acc@5: 86.6667 (76.8966) + +2023-08-10 13:07:13,999 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-17.pth.tar', 53.10345182747677) + +2023-08-10 13:07:15,548 - train: [ INFO] - Train: 18 [ 0/65 ( 0%)] Loss: 0.103169 (0.1032) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.531s, 78.39/s LR: 5.808e-04 P_Replacement: 0.0 + +2023-08-10 13:07:50,880 - train: [ INFO] - Train: 18 [ 50/65 ( 78%)] Loss: 0.118860 (0.1080) Acc@1: 97.5000 (97.3039) Acc@5: 99.1667 (99.6242) Time: 0.723s, 166.03/s LR: 5.808e-04 P_Replacement: 0.0 + +2023-08-10 13:08:00,789 - train: [ INFO] - Train: 18 [ 64/65 (100%)] Loss: 0.096147 (0.1070) Acc@1: 99.1667 (97.3590) Acc@5: 100.0000 (99.6923) Time: 0.720s, 166.77/s LR: 5.808e-04 P_Replacement: 0.0 + +2023-08-10 13:08:01,775 - train: [ INFO] - Test: [ 0/7] Time: 0.893 (0.893) Loss: 2.0984 (2.0984) cLoss: 0.0000 (0.0000) Acc@1: 45.8333 (45.8333)Acc@5: 75.0000 (75.0000) + +2023-08-10 13:08:03,391 - train: [ INFO] - Test: [ 7/7] Time: 0.073 (0.314) Loss: 2.1039 (1.9379) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (51.7241)Acc@5: 70.0000 (77.8161) + +2023-08-10 13:08:05,196 - train: [ INFO] - Train: 19 [ 0/65 ( 0%)] Loss: 0.100558 (0.1006) Acc@1: 97.5000 (97.5000) Acc@5: 98.3333 (98.3333) Time: 1.560s, 76.93/s LR: 5.803e-04 P_Replacement: 0.0 + +2023-08-10 13:08:40,494 - train: [ INFO] - Train: 19 [ 50/65 ( 78%)] Loss: 0.078411 (0.0946) Acc@1: 99.1667 (97.6961) Acc@5: 100.0000 (99.7386) Time: 0.723s, 166.05/s LR: 5.803e-04 P_Replacement: 0.0 + +2023-08-10 13:08:50,345 - train: [ INFO] - Train: 19 [ 64/65 (100%)] Loss: 0.135276 (0.0940) Acc@1: 93.3333 (97.7821) Acc@5: 100.0000 (99.7051) Time: 0.719s, 167.00/s LR: 5.803e-04 P_Replacement: 0.0 + +2023-08-10 13:08:51,355 - train: [ INFO] - Test: [ 0/7] Time: 0.904 (0.904) Loss: 1.7537 (1.7537) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (60.0000)Acc@5: 76.6667 (76.6667) + +2023-08-10 13:08:53,098 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.331) Loss: 1.6851 (1.9073) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (53.9080)Acc@5: 76.6667 (77.8161) + +2023-08-10 13:08:53,368 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-19.pth.tar', 53.908048169366246) + +2023-08-10 13:08:54,936 - train: [ INFO] - Train: 20 [ 0/65 ( 0%)] Loss: 0.086247 (0.0862) Acc@1: 98.3333 (98.3333) Acc@5: 99.1667 (99.1667) Time: 1.549s, 77.46/s LR: 5.796e-04 P_Replacement: 0.0 + +2023-08-10 13:09:30,278 - train: [ INFO] - Train: 20 [ 50/65 ( 78%)] Loss: 0.089802 (0.0912) Acc@1: 99.1667 (97.9412) Acc@5: 100.0000 (99.7712) Time: 0.723s, 165.91/s LR: 5.796e-04 P_Replacement: 0.0 + +2023-08-10 13:09:40,212 - train: [ INFO] - Train: 20 [ 64/65 (100%)] Loss: 0.068150 (0.0895) Acc@1: 100.0000 (97.9872) Acc@5: 100.0000 (99.7821) Time: 0.720s, 166.59/s LR: 5.796e-04 P_Replacement: 0.0 + +2023-08-10 13:09:41,306 - train: [ INFO] - Test: [ 0/7] Time: 0.968 (0.968) Loss: 1.9972 (1.9972) cLoss: 0.0000 (0.0000) Acc@1: 48.3333 (48.3333)Acc@5: 80.0000 (80.0000) + +2023-08-10 13:09:43,022 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.335) Loss: 2.1199 (2.1748) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (47.3563)Acc@5: 73.3333 (75.5172) + +2023-08-10 13:09:44,956 - train: [ INFO] - Train: 21 [ 0/65 ( 0%)] Loss: 0.080154 (0.0802) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.668s, 71.92/s LR: 5.790e-04 P_Replacement: 0.0 + +2023-08-10 13:10:20,308 - train: [ INFO] - Train: 21 [ 50/65 ( 78%)] Loss: 0.081008 (0.0779) Acc@1: 100.0000 (98.3660) Acc@5: 100.0000 (99.9020) Time: 0.726s, 165.33/s LR: 5.790e-04 P_Replacement: 0.0 + +2023-08-10 13:10:30,176 - train: [ INFO] - Train: 21 [ 64/65 (100%)] Loss: 0.069502 (0.0775) Acc@1: 100.0000 (98.5128) Acc@5: 100.0000 (99.8846) Time: 0.721s, 166.37/s LR: 5.790e-04 P_Replacement: 0.0 + +2023-08-10 13:10:31,283 - train: [ INFO] - Test: [ 0/7] Time: 0.981 (0.981) Loss: 2.2014 (2.2014) cLoss: 0.0000 (0.0000) Acc@1: 44.1667 (44.1667)Acc@5: 74.1667 (74.1667) + +2023-08-10 13:10:32,928 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.328) Loss: 2.1527 (2.1596) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (48.0460)Acc@5: 76.6667 (75.1724) + +2023-08-10 13:10:34,882 - train: [ INFO] - Train: 22 [ 0/65 ( 0%)] Loss: 0.077135 (0.0771) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 1.647s, 72.87/s LR: 5.783e-04 P_Replacement: 0.0 + +2023-08-10 13:11:10,194 - train: [ INFO] - Train: 22 [ 50/65 ( 78%)] Loss: 0.067985 (0.0729) Acc@1: 99.1667 (98.6928) Acc@5: 100.0000 (99.8529) Time: 0.725s, 165.61/s LR: 5.783e-04 P_Replacement: 0.0 + +2023-08-10 13:11:20,148 - train: [ INFO] - Train: 22 [ 64/65 (100%)] Loss: 0.065535 (0.0718) Acc@1: 98.3333 (98.7051) Acc@5: 99.1667 (99.8333) Time: 0.722s, 166.28/s LR: 5.783e-04 P_Replacement: 0.0 + +2023-08-10 13:11:21,275 - train: [ INFO] - Test: [ 0/7] Time: 0.961 (0.961) Loss: 2.2684 (2.2684) cLoss: 0.0000 (0.0000) Acc@1: 48.3333 (48.3333)Acc@5: 75.0000 (75.0000) + +2023-08-10 13:11:22,898 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.323) Loss: 2.3945 (2.1646) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (49.5402)Acc@5: 76.6667 (74.7126) + +2023-08-10 13:11:24,798 - train: [ INFO] - Train: 23 [ 0/65 ( 0%)] Loss: 0.070763 (0.0708) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.630s, 73.61/s LR: 5.776e-04 P_Replacement: 0.0 + +2023-08-10 13:12:00,144 - train: [ INFO] - Train: 23 [ 50/65 ( 78%)] Loss: 0.076421 (0.0691) Acc@1: 98.3333 (98.6111) Acc@5: 99.1667 (99.8856) Time: 0.725s, 165.52/s LR: 5.776e-04 P_Replacement: 0.0 + +2023-08-10 13:12:10,100 - train: [ INFO] - Train: 23 [ 64/65 (100%)] Loss: 0.062895 (0.0680) Acc@1: 99.1667 (98.7308) Acc@5: 100.0000 (99.9103) Time: 0.722s, 166.21/s LR: 5.776e-04 P_Replacement: 0.0 + +2023-08-10 13:12:11,128 - train: [ INFO] - Test: [ 0/7] Time: 0.902 (0.902) Loss: 1.8760 (1.8760) cLoss: 0.0000 (0.0000) Acc@1: 50.8333 (50.8333)Acc@5: 76.6667 (76.6667) + +2023-08-10 13:12:12,802 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.322) Loss: 1.8168 (2.0981) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (50.4598)Acc@5: 83.3333 (74.7126) + +2023-08-10 13:12:14,550 - train: [ INFO] - Train: 24 [ 0/65 ( 0%)] Loss: 0.110034 (0.1100) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.494s, 80.33/s LR: 5.769e-04 P_Replacement: 0.0 + +2023-08-10 13:12:49,896 - train: [ INFO] - Train: 24 [ 50/65 ( 78%)] Loss: 0.058954 (0.0613) Acc@1: 100.0000 (99.2484) Acc@5: 100.0000 (99.9510) Time: 0.722s, 166.13/s LR: 5.769e-04 P_Replacement: 0.0 + +2023-08-10 13:12:59,755 - train: [ INFO] - Train: 24 [ 64/65 (100%)] Loss: 0.047103 (0.0596) Acc@1: 100.0000 (99.2949) Acc@5: 100.0000 (99.9103) Time: 0.718s, 167.04/s LR: 5.769e-04 P_Replacement: 0.0 + +2023-08-10 13:13:00,777 - train: [ INFO] - Test: [ 0/7] Time: 0.915 (0.915) Loss: 1.8051 (1.8051) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (56.6667)Acc@5: 79.1667 (79.1667) + +2023-08-10 13:13:02,539 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.335) Loss: 1.6834 (1.8780) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (55.2874)Acc@5: 86.6667 (78.5058) + +2023-08-10 13:13:02,788 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-24.pth.tar', 55.28735864573512) + +2023-08-10 13:13:04,345 - train: [ INFO] - Train: 25 [ 0/65 ( 0%)] Loss: 0.056672 (0.0567) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.542s, 77.83/s LR: 5.761e-04 P_Replacement: 0.0 + +2023-08-10 13:13:39,700 - train: [ INFO] - Train: 25 [ 50/65 ( 78%)] Loss: 0.054005 (0.0567) Acc@1: 100.0000 (99.1340) Acc@5: 100.0000 (99.9020) Time: 0.723s, 165.87/s LR: 5.761e-04 P_Replacement: 0.0 + +2023-08-10 13:13:49,615 - train: [ INFO] - Train: 25 [ 64/65 (100%)] Loss: 0.046800 (0.0561) Acc@1: 100.0000 (99.1795) Acc@5: 100.0000 (99.9103) Time: 0.720s, 166.63/s LR: 5.761e-04 P_Replacement: 0.0 + +2023-08-10 13:13:50,676 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 1.7799 (1.7799) cLoss: 0.0000 (0.0000) Acc@1: 59.1667 (59.1667)Acc@5: 78.3333 (78.3333) + +2023-08-10 13:13:52,360 - train: [ INFO] - Test: [ 7/7] Time: 0.079 (0.326) Loss: 1.4249 (1.9326) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (54.2529)Acc@5: 86.6667 (77.2414) + +2023-08-10 13:13:54,186 - train: [ INFO] - Train: 26 [ 0/65 ( 0%)] Loss: 0.044810 (0.0448) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.522s, 78.86/s LR: 5.753e-04 P_Replacement: 0.0 + +2023-08-10 13:14:29,619 - train: [ INFO] - Train: 26 [ 50/65 ( 78%)] Loss: 0.035169 (0.0507) Acc@1: 100.0000 (99.5425) Acc@5: 100.0000 (99.9837) Time: 0.725s, 165.62/s LR: 5.753e-04 P_Replacement: 0.0 + +2023-08-10 13:14:39,536 - train: [ INFO] - Train: 26 [ 64/65 (100%)] Loss: 0.042289 (0.0498) Acc@1: 100.0000 (99.5256) Acc@5: 100.0000 (99.9744) Time: 0.721s, 166.42/s LR: 5.753e-04 P_Replacement: 0.0 + +2023-08-10 13:14:40,579 - train: [ INFO] - Test: [ 0/7] Time: 0.951 (0.951) Loss: 1.8523 (1.8523) cLoss: 0.0000 (0.0000) Acc@1: 60.8333 (60.8333)Acc@5: 78.3333 (78.3333) + +2023-08-10 13:14:42,279 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.331) Loss: 1.2963 (1.8135) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (56.5517)Acc@5: 86.6667 (80.0000) + +2023-08-10 13:14:42,570 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-26.pth.tar', 56.55172624259159) + +2023-08-10 13:14:44,096 - train: [ INFO] - Train: 27 [ 0/65 ( 0%)] Loss: 0.062240 (0.0622) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.509s, 79.52/s LR: 5.745e-04 P_Replacement: 0.0 + +2023-08-10 13:15:19,402 - train: [ INFO] - Train: 27 [ 50/65 ( 78%)] Loss: 0.059783 (0.0463) Acc@1: 97.5000 (99.3791) Acc@5: 100.0000 (99.9673) Time: 0.722s, 166.25/s LR: 5.745e-04 P_Replacement: 0.0 + +2023-08-10 13:15:29,302 - train: [ INFO] - Train: 27 [ 64/65 (100%)] Loss: 0.046967 (0.0456) Acc@1: 99.1667 (99.3974) Acc@5: 100.0000 (99.9615) Time: 0.719s, 166.98/s LR: 5.745e-04 P_Replacement: 0.0 + +2023-08-10 13:15:30,347 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 1.6713 (1.6713) cLoss: 0.0000 (0.0000) Acc@1: 55.8333 (55.8333)Acc@5: 80.8333 (80.8333) + +2023-08-10 13:15:32,019 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.326) Loss: 2.3844 (1.8138) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (57.5862)Acc@5: 70.0000 (80.3448) + +2023-08-10 13:15:32,252 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-27.pth.tar', 57.586209790459996) + +2023-08-10 13:15:33,789 - train: [ INFO] - Train: 28 [ 0/65 ( 0%)] Loss: 0.058454 (0.0585) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.521s, 78.87/s LR: 5.736e-04 P_Replacement: 0.0 + +2023-08-10 13:16:09,142 - train: [ INFO] - Train: 28 [ 50/65 ( 78%)] Loss: 0.052730 (0.0532) Acc@1: 99.1667 (99.1994) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.98/s LR: 5.736e-04 P_Replacement: 0.0 + +2023-08-10 13:16:19,096 - train: [ INFO] - Train: 28 [ 64/65 (100%)] Loss: 0.066331 (0.0578) Acc@1: 100.0000 (99.1282) Acc@5: 100.0000 (99.9744) Time: 0.720s, 166.58/s LR: 5.736e-04 P_Replacement: 0.0 + +2023-08-10 13:16:20,201 - train: [ INFO] - Test: [ 0/7] Time: 0.964 (0.964) Loss: 1.8390 (1.8390) cLoss: 0.0000 (0.0000) Acc@1: 52.5000 (52.5000)Acc@5: 82.5000 (82.5000) + +2023-08-10 13:16:21,869 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.329) Loss: 2.1614 (1.9997) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (54.0230)Acc@5: 73.3333 (77.1264) + +2023-08-10 13:16:23,586 - train: [ INFO] - Train: 29 [ 0/65 ( 0%)] Loss: 0.085028 (0.0850) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.487s, 80.69/s LR: 5.728e-04 P_Replacement: 0.0 + +2023-08-10 13:16:58,925 - train: [ INFO] - Train: 29 [ 50/65 ( 78%)] Loss: 0.038596 (0.0591) Acc@1: 100.0000 (99.1667) Acc@5: 100.0000 (99.9510) Time: 0.722s, 166.19/s LR: 5.728e-04 P_Replacement: 0.0 + +2023-08-10 13:17:08,797 - train: [ INFO] - Train: 29 [ 64/65 (100%)] Loss: 0.035044 (0.0578) Acc@1: 100.0000 (99.2436) Acc@5: 100.0000 (99.9487) Time: 0.718s, 167.04/s LR: 5.728e-04 P_Replacement: 0.0 + +2023-08-10 13:17:09,833 - train: [ INFO] - Test: [ 0/7] Time: 0.911 (0.911) Loss: 1.8059 (1.8059) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 80.0000 (80.0000) + +2023-08-10 13:17:11,496 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.322) Loss: 2.2083 (1.8962) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (57.0115)Acc@5: 80.0000 (79.8851) + +2023-08-10 13:17:13,243 - train: [ INFO] - Train: 30 [ 0/65 ( 0%)] Loss: 0.043979 (0.0440) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.502s, 79.87/s LR: 5.718e-04 P_Replacement: 0.0 + +2023-08-10 13:17:48,480 - train: [ INFO] - Train: 30 [ 50/65 ( 78%)] Loss: 0.058980 (0.0475) Acc@1: 99.1667 (99.3954) Acc@5: 99.1667 (99.9346) Time: 0.720s, 166.59/s LR: 5.718e-04 P_Replacement: 0.0 + +2023-08-10 13:17:58,414 - train: [ INFO] - Train: 30 [ 64/65 (100%)] Loss: 0.043656 (0.0474) Acc@1: 100.0000 (99.4487) Acc@5: 100.0000 (99.9487) Time: 0.718s, 167.13/s LR: 5.718e-04 P_Replacement: 0.0 + +2023-08-10 13:17:59,489 - train: [ INFO] - Test: [ 0/7] Time: 0.964 (0.964) Loss: 1.6601 (1.6601) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 80.8333 (80.8333) + +2023-08-10 13:18:01,109 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.323) Loss: 2.4591 (1.8337) cLoss: 0.0000 (0.0000) Acc@1: 36.6667 (55.8621)Acc@5: 60.0000 (80.5747) + +2023-08-10 13:18:03,006 - train: [ INFO] - Train: 31 [ 0/65 ( 0%)] Loss: 0.047436 (0.0474) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.622s, 74.00/s LR: 5.709e-04 P_Replacement: 0.0 + +2023-08-10 13:18:38,404 - train: [ INFO] - Train: 31 [ 50/65 ( 78%)] Loss: 0.043788 (0.0500) Acc@1: 100.0000 (99.6242) Acc@5: 100.0000 (99.9673) Time: 0.726s, 165.33/s LR: 5.709e-04 P_Replacement: 0.0 + +2023-08-10 13:18:48,318 - train: [ INFO] - Train: 31 [ 64/65 (100%)] Loss: 0.043672 (0.0506) Acc@1: 100.0000 (99.6154) Acc@5: 100.0000 (99.9615) Time: 0.722s, 166.21/s LR: 5.709e-04 P_Replacement: 0.0 + +2023-08-10 13:18:49,429 - train: [ INFO] - Test: [ 0/7] Time: 0.912 (0.912) Loss: 1.4492 (1.4492) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 84.1667 (84.1667) + +2023-08-10 13:18:51,084 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.321) Loss: 1.2490 (1.7114) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (59.6552)Acc@5: 90.0000 (81.2644) + +2023-08-10 13:18:51,365 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-31.pth.tar', 59.655175833866515) + +2023-08-10 13:18:52,928 - train: [ INFO] - Train: 32 [ 0/65 ( 0%)] Loss: 0.055196 (0.0552) Acc@1: 99.1667 (99.1667) Acc@5: 99.1667 (99.1667) Time: 1.550s, 77.44/s LR: 5.699e-04 P_Replacement: 0.0 + +2023-08-10 13:19:28,352 - train: [ INFO] - Train: 32 [ 50/65 ( 78%)] Loss: 0.042739 (0.0461) Acc@1: 99.1667 (99.4935) Acc@5: 100.0000 (99.9510) Time: 0.725s, 165.54/s LR: 5.699e-04 P_Replacement: 0.0 + +2023-08-10 13:19:38,233 - train: [ INFO] - Train: 32 [ 64/65 (100%)] Loss: 0.038705 (0.0444) Acc@1: 100.0000 (99.5128) Acc@5: 100.0000 (99.9615) Time: 0.721s, 166.48/s LR: 5.699e-04 P_Replacement: 0.0 + +2023-08-10 13:19:39,243 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 1.6163 (1.6163) cLoss: 0.0000 (0.0000) Acc@1: 62.5000 (62.5000)Acc@5: 85.0000 (85.0000) + +2023-08-10 13:19:40,877 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.318) Loss: 2.1103 (1.8146) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (56.2069)Acc@5: 90.0000 (81.0345) + +2023-08-10 13:19:42,648 - train: [ INFO] - Train: 33 [ 0/65 ( 0%)] Loss: 0.042339 (0.0423) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.531s, 78.37/s LR: 5.689e-04 P_Replacement: 0.0 + +2023-08-10 13:20:17,998 - train: [ INFO] - Train: 33 [ 50/65 ( 78%)] Loss: 0.030797 (0.0372) Acc@1: 99.1667 (99.6569) Acc@5: 100.0000 (99.9673) Time: 0.723s, 165.95/s LR: 5.689e-04 P_Replacement: 0.0 + +2023-08-10 13:20:27,943 - train: [ INFO] - Train: 33 [ 64/65 (100%)] Loss: 0.041667 (0.0365) Acc@1: 99.1667 (99.6795) Acc@5: 100.0000 (99.9744) Time: 0.720s, 166.58/s LR: 5.689e-04 P_Replacement: 0.0 + +2023-08-10 13:20:29,013 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 1.6422 (1.6422) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 82.5000 (82.5000) + +2023-08-10 13:20:30,702 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.328) Loss: 1.9230 (1.7595) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (58.0460)Acc@5: 80.0000 (81.2644) + +2023-08-10 13:20:32,490 - train: [ INFO] - Train: 34 [ 0/65 ( 0%)] Loss: 0.030734 (0.0307) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.506s, 79.70/s LR: 5.679e-04 P_Replacement: 0.0 + +2023-08-10 13:21:07,858 - train: [ INFO] - Train: 34 [ 50/65 ( 78%)] Loss: 0.029217 (0.0313) Acc@1: 99.1667 (99.6895) Acc@5: 100.0000 (99.9673) Time: 0.723s, 166.02/s LR: 5.679e-04 P_Replacement: 0.0 + +2023-08-10 13:21:17,777 - train: [ INFO] - Train: 34 [ 64/65 (100%)] Loss: 0.036515 (0.0322) Acc@1: 100.0000 (99.6795) Acc@5: 100.0000 (99.9487) Time: 0.720s, 166.73/s LR: 5.679e-04 P_Replacement: 0.0 + +2023-08-10 13:21:18,825 - train: [ INFO] - Test: [ 0/7] Time: 0.915 (0.915) Loss: 1.9560 (1.9560) cLoss: 0.0000 (0.0000) Acc@1: 50.8333 (50.8333)Acc@5: 80.0000 (80.0000) + +2023-08-10 13:21:20,439 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.316) Loss: 2.5372 (1.8785) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (55.8621)Acc@5: 76.6667 (80.8046) + +2023-08-10 13:21:22,235 - train: [ INFO] - Train: 35 [ 0/65 ( 0%)] Loss: 0.050809 (0.0508) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.508s, 79.58/s LR: 5.668e-04 P_Replacement: 0.0 + +2023-08-10 13:21:57,540 - train: [ INFO] - Train: 35 [ 50/65 ( 78%)] Loss: 0.033259 (0.0317) Acc@1: 100.0000 (99.7876) Acc@5: 100.0000 (99.9837) Time: 0.722s, 166.26/s LR: 5.668e-04 P_Replacement: 0.0 + +2023-08-10 13:22:07,504 - train: [ INFO] - Train: 35 [ 64/65 (100%)] Loss: 0.027377 (0.0312) Acc@1: 100.0000 (99.7949) Acc@5: 100.0000 (99.9872) Time: 0.720s, 166.76/s LR: 5.668e-04 P_Replacement: 0.0 + +2023-08-10 13:22:08,528 - train: [ INFO] - Test: [ 0/7] Time: 0.916 (0.916) Loss: 1.9193 (1.9193) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (56.6667)Acc@5: 76.6667 (76.6667) + +2023-08-10 13:22:10,209 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.325) Loss: 2.2183 (1.6563) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (60.6897)Acc@5: 80.0000 (82.7586) + +2023-08-10 13:22:10,528 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-35.pth.tar', 60.68965661936793) + +2023-08-10 13:22:12,140 - train: [ INFO] - Train: 36 [ 0/65 ( 0%)] Loss: 0.026607 (0.0266) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.597s, 75.16/s LR: 5.657e-04 P_Replacement: 0.0 + +2023-08-10 13:22:47,519 - train: [ INFO] - Train: 36 [ 50/65 ( 78%)] Loss: 0.028924 (0.0272) Acc@1: 100.0000 (99.8039) Acc@5: 100.0000 (99.9837) Time: 0.725s, 165.53/s LR: 5.657e-04 P_Replacement: 0.0 + +2023-08-10 13:22:57,389 - train: [ INFO] - Train: 36 [ 64/65 (100%)] Loss: 0.022169 (0.0270) Acc@1: 100.0000 (99.8333) Acc@5: 100.0000 (99.9872) Time: 0.721s, 166.52/s LR: 5.657e-04 P_Replacement: 0.0 + +2023-08-10 13:22:58,435 - train: [ INFO] - Test: [ 0/7] Time: 0.915 (0.915) Loss: 1.8472 (1.8472) cLoss: 0.0000 (0.0000) Acc@1: 59.1667 (59.1667)Acc@5: 80.8333 (80.8333) + +2023-08-10 13:23:00,027 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.313) Loss: 1.8311 (1.6938) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (59.8851)Acc@5: 83.3333 (82.9885) + +2023-08-10 13:23:01,873 - train: [ INFO] - Train: 37 [ 0/65 ( 0%)] Loss: 0.022526 (0.0225) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.585s, 75.69/s LR: 5.646e-04 P_Replacement: 0.0 + +2023-08-10 13:23:37,224 - train: [ INFO] - Train: 37 [ 50/65 ( 78%)] Loss: 0.034468 (0.0293) Acc@1: 99.1667 (99.7712) Acc@5: 100.0000 (99.9673) Time: 0.724s, 165.70/s LR: 5.646e-04 P_Replacement: 0.0 + +2023-08-10 13:23:47,184 - train: [ INFO] - Train: 37 [ 64/65 (100%)] Loss: 0.032253 (0.0287) Acc@1: 100.0000 (99.7949) Acc@5: 100.0000 (99.9744) Time: 0.721s, 166.34/s LR: 5.646e-04 P_Replacement: 0.0 + +2023-08-10 13:23:48,217 - train: [ INFO] - Test: [ 0/7] Time: 0.912 (0.912) Loss: 1.8030 (1.8030) cLoss: 0.0000 (0.0000) Acc@1: 54.1667 (54.1667)Acc@5: 80.0000 (80.0000) + +2023-08-10 13:23:49,965 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.333) Loss: 1.4028 (1.5909) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (61.1494)Acc@5: 80.0000 (83.9081) + +2023-08-10 13:23:50,255 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-37.pth.tar', 61.14942774279364) + +2023-08-10 13:23:51,812 - train: [ INFO] - Train: 38 [ 0/65 ( 0%)] Loss: 0.022865 (0.0229) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.537s, 78.06/s LR: 5.634e-04 P_Replacement: 0.0 + +2023-08-10 13:24:27,319 - train: [ INFO] - Train: 38 [ 50/65 ( 78%)] Loss: 0.024815 (0.0294) Acc@1: 100.0000 (99.7386) Acc@5: 100.0000 (99.9673) Time: 0.726s, 165.23/s LR: 5.634e-04 P_Replacement: 0.0 + +2023-08-10 13:24:37,265 - train: [ INFO] - Train: 38 [ 64/65 (100%)] Loss: 0.028026 (0.0287) Acc@1: 99.1667 (99.7436) Acc@5: 100.0000 (99.9744) Time: 0.723s, 166.01/s LR: 5.634e-04 P_Replacement: 0.0 + +2023-08-10 13:24:38,299 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 1.3911 (1.3911) cLoss: 0.0000 (0.0000) Acc@1: 65.8333 (65.8333)Acc@5: 85.0000 (85.0000) + +2023-08-10 13:24:39,998 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.326) Loss: 1.4531 (1.6115) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (60.9195)Acc@5: 80.0000 (83.6782) + +2023-08-10 13:24:41,856 - train: [ INFO] - Train: 39 [ 0/65 ( 0%)] Loss: 0.023802 (0.0238) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.588s, 75.58/s LR: 5.623e-04 P_Replacement: 0.0 + +2023-08-10 13:25:17,260 - train: [ INFO] - Train: 39 [ 50/65 ( 78%)] Loss: 0.019831 (0.0255) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.45/s LR: 5.623e-04 P_Replacement: 0.0 + +2023-08-10 13:25:27,149 - train: [ INFO] - Train: 39 [ 64/65 (100%)] Loss: 0.037706 (0.0270) Acc@1: 100.0000 (99.8333) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.39/s LR: 5.623e-04 P_Replacement: 0.0 + +2023-08-10 13:25:28,176 - train: [ INFO] - Test: [ 0/7] Time: 0.904 (0.904) Loss: 1.7982 (1.7982) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (60.0000)Acc@5: 80.8333 (80.8333) + +2023-08-10 13:25:29,830 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.320) Loss: 1.6422 (1.8448) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (57.8161)Acc@5: 83.3333 (79.3103) + +2023-08-10 13:25:31,673 - train: [ INFO] - Train: 40 [ 0/65 ( 0%)] Loss: 0.031531 (0.0315) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.556s, 77.14/s LR: 5.610e-04 P_Replacement: 0.0 + +2023-08-10 13:26:07,112 - train: [ INFO] - Train: 40 [ 50/65 ( 78%)] Loss: 0.021184 (0.0286) Acc@1: 100.0000 (99.8039) Acc@5: 100.0000 (99.9837) Time: 0.725s, 165.44/s LR: 5.610e-04 P_Replacement: 0.0 + +2023-08-10 13:26:17,053 - train: [ INFO] - Train: 40 [ 64/65 (100%)] Loss: 0.027295 (0.0276) Acc@1: 99.1667 (99.8077) Acc@5: 100.0000 (99.9744) Time: 0.722s, 166.20/s LR: 5.610e-04 P_Replacement: 0.0 + +2023-08-10 13:26:18,152 - train: [ INFO] - Test: [ 0/7] Time: 0.987 (0.987) Loss: 1.7162 (1.7162) cLoss: 0.0000 (0.0000) Acc@1: 55.8333 (55.8333)Acc@5: 85.0000 (85.0000) + +2023-08-10 13:26:19,883 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.340) Loss: 1.9027 (1.7015) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (58.9655)Acc@5: 80.0000 (83.3333) + +2023-08-10 13:26:21,839 - train: [ INFO] - Train: 41 [ 0/65 ( 0%)] Loss: 0.019814 (0.0198) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.635s, 73.41/s LR: 5.598e-04 P_Replacement: 0.0 + +2023-08-10 13:26:57,205 - train: [ INFO] - Train: 41 [ 50/65 ( 78%)] Loss: 0.048939 (0.0275) Acc@1: 99.1667 (99.8366) Acc@5: 99.1667 (99.9837) Time: 0.725s, 165.43/s LR: 5.598e-04 P_Replacement: 0.0 + +2023-08-10 13:27:07,084 - train: [ INFO] - Train: 41 [ 64/65 (100%)] Loss: 0.042936 (0.0311) Acc@1: 100.0000 (99.8462) Acc@5: 100.0000 (99.9872) Time: 0.721s, 166.41/s LR: 5.598e-04 P_Replacement: 0.0 + +2023-08-10 13:27:08,205 - train: [ INFO] - Test: [ 0/7] Time: 0.952 (0.952) Loss: 1.7414 (1.7414) cLoss: 0.0000 (0.0000) Acc@1: 61.6667 (61.6667)Acc@5: 83.3333 (83.3333) + +2023-08-10 13:27:09,867 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.327) Loss: 1.4572 (1.6268) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (60.1149)Acc@5: 80.0000 (83.9081) + +2023-08-10 13:27:11,733 - train: [ INFO] - Train: 42 [ 0/65 ( 0%)] Loss: 0.047389 (0.0474) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.572s, 76.32/s LR: 5.585e-04 P_Replacement: 0.0 + +2023-08-10 13:27:47,295 - train: [ INFO] - Train: 42 [ 50/65 ( 78%)] Loss: 0.042047 (0.0461) Acc@1: 100.0000 (99.7386) Acc@5: 100.0000 (99.9837) Time: 0.728s, 164.82/s LR: 5.585e-04 P_Replacement: 0.0 + +2023-08-10 13:27:57,232 - train: [ INFO] - Train: 42 [ 64/65 (100%)] Loss: 0.059340 (0.0477) Acc@1: 100.0000 (99.6667) Acc@5: 100.0000 (99.9872) Time: 0.724s, 165.72/s LR: 5.585e-04 P_Replacement: 0.0 + +2023-08-10 13:27:58,307 - train: [ INFO] - Test: [ 0/7] Time: 0.944 (0.944) Loss: 1.3454 (1.3454) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 85.8333 (85.8333) + +2023-08-10 13:28:00,043 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.335) Loss: 1.1111 (1.4605) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (64.0230)Acc@5: 93.3333 (85.9770) + +2023-08-10 13:28:00,318 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-42.pth.tar', 64.02299025963093) + +2023-08-10 13:28:01,971 - train: [ INFO] - Train: 43 [ 0/65 ( 0%)] Loss: 0.041816 (0.0418) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.633s, 73.46/s LR: 5.572e-04 P_Replacement: 0.0 + +2023-08-10 13:28:37,394 - train: [ INFO] - Train: 43 [ 50/65 ( 78%)] Loss: 0.026279 (0.0394) Acc@1: 100.0000 (99.7712) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.16/s LR: 5.572e-04 P_Replacement: 0.0 + +2023-08-10 13:28:47,343 - train: [ INFO] - Train: 43 [ 64/65 (100%)] Loss: 0.026580 (0.0376) Acc@1: 100.0000 (99.7308) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.95/s LR: 5.572e-04 P_Replacement: 0.0 + +2023-08-10 13:28:48,453 - train: [ INFO] - Test: [ 0/7] Time: 0.963 (0.963) Loss: 1.8029 (1.8029) cLoss: 0.0000 (0.0000) Acc@1: 55.0000 (55.0000)Acc@5: 84.1667 (84.1667) + +2023-08-10 13:28:50,064 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.322) Loss: 2.0576 (1.7475) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (58.2759)Acc@5: 66.6667 (82.6437) + +2023-08-10 13:28:52,026 - train: [ INFO] - Train: 44 [ 0/65 ( 0%)] Loss: 0.027606 (0.0276) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.657s, 72.44/s LR: 5.559e-04 P_Replacement: 0.0 + +2023-08-10 13:29:27,559 - train: [ INFO] - Train: 44 [ 50/65 ( 78%)] Loss: 0.023196 (0.0265) Acc@1: 100.0000 (99.7712) Acc@5: 100.0000 (99.9510) Time: 0.729s, 164.57/s LR: 5.559e-04 P_Replacement: 0.0 + +2023-08-10 13:29:37,540 - train: [ INFO] - Train: 44 [ 64/65 (100%)] Loss: 0.021812 (0.0257) Acc@1: 100.0000 (99.8077) Acc@5: 100.0000 (99.9615) Time: 0.726s, 165.37/s LR: 5.559e-04 P_Replacement: 0.0 + +2023-08-10 13:29:38,654 - train: [ INFO] - Test: [ 0/7] Time: 0.949 (0.949) Loss: 1.3072 (1.3072) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 86.6667 (86.6667) + +2023-08-10 13:29:40,389 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.335) Loss: 2.1619 (1.6480) cLoss: 0.0000 (0.0000) Acc@1: 36.6667 (60.9195)Acc@5: 83.3333 (83.5632) + +2023-08-10 13:29:42,209 - train: [ INFO] - Train: 45 [ 0/65 ( 0%)] Loss: 0.025908 (0.0259) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.552s, 77.33/s LR: 5.546e-04 P_Replacement: 0.0 + +2023-08-10 13:30:17,737 - train: [ INFO] - Train: 45 [ 50/65 ( 78%)] Loss: 0.015197 (0.0211) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (99.9837) Time: 0.727s, 165.06/s LR: 5.546e-04 P_Replacement: 0.0 + +2023-08-10 13:30:27,692 - train: [ INFO] - Train: 45 [ 64/65 (100%)] Loss: 0.016028 (0.0208) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (99.9872) Time: 0.724s, 165.85/s LR: 5.546e-04 P_Replacement: 0.0 + +2023-08-10 13:30:28,801 - train: [ INFO] - Test: [ 0/7] Time: 0.961 (0.961) Loss: 1.5472 (1.5472) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 85.0000 (85.0000) + +2023-08-10 13:30:30,453 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.327) Loss: 1.3866 (1.5660) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (61.4943)Acc@5: 86.6667 (84.9425) + +2023-08-10 13:30:32,372 - train: [ INFO] - Train: 46 [ 0/65 ( 0%)] Loss: 0.017484 (0.0175) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.640s, 73.16/s LR: 5.532e-04 P_Replacement: 0.0 + +2023-08-10 13:31:07,695 - train: [ INFO] - Train: 46 [ 50/65 ( 78%)] Loss: 0.016951 (0.0187) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.60/s LR: 5.532e-04 P_Replacement: 0.0 + +2023-08-10 13:31:17,639 - train: [ INFO] - Train: 46 [ 64/65 (100%)] Loss: 0.024634 (0.0190) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.31/s LR: 5.532e-04 P_Replacement: 0.0 + +2023-08-10 13:31:18,761 - train: [ INFO] - Test: [ 0/7] Time: 0.955 (0.955) Loss: 1.7199 (1.7199) cLoss: 0.0000 (0.0000) Acc@1: 55.8333 (55.8333)Acc@5: 83.3333 (83.3333) + +2023-08-10 13:31:20,444 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.330) Loss: 2.0424 (1.6659) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (59.1954)Acc@5: 86.6667 (84.9425) + +2023-08-10 13:31:22,272 - train: [ INFO] - Train: 47 [ 0/65 ( 0%)] Loss: 0.018808 (0.0188) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.575s, 76.18/s LR: 5.518e-04 P_Replacement: 0.0 + +2023-08-10 13:31:57,662 - train: [ INFO] - Train: 47 [ 50/65 ( 78%)] Loss: 0.019529 (0.0180) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.58/s LR: 5.518e-04 P_Replacement: 0.0 + +2023-08-10 13:32:07,589 - train: [ INFO] - Train: 47 [ 64/65 (100%)] Loss: 0.019890 (0.0180) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 5.518e-04 P_Replacement: 0.0 + +2023-08-10 13:32:08,637 - train: [ INFO] - Test: [ 0/7] Time: 0.910 (0.910) Loss: 1.8921 (1.8921) cLoss: 0.0000 (0.0000) Acc@1: 57.5000 (57.5000)Acc@5: 82.5000 (82.5000) + +2023-08-10 13:32:10,363 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.330) Loss: 1.1358 (1.5230) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (64.8276)Acc@5: 90.0000 (85.9770) + +2023-08-10 13:32:10,686 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-47.pth.tar', 64.82758883772225) + +2023-08-10 13:32:12,300 - train: [ INFO] - Train: 48 [ 0/65 ( 0%)] Loss: 0.016706 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.593s, 75.32/s LR: 5.503e-04 P_Replacement: 0.0 + +2023-08-10 13:32:47,641 - train: [ INFO] - Train: 48 [ 50/65 ( 78%)] Loss: 0.013464 (0.0180) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.71/s LR: 5.503e-04 P_Replacement: 0.0 + +2023-08-10 13:32:57,599 - train: [ INFO] - Train: 48 [ 64/65 (100%)] Loss: 0.017328 (0.0177) Acc@1: 99.1667 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.35/s LR: 5.503e-04 P_Replacement: 0.0 + +2023-08-10 13:32:58,645 - train: [ INFO] - Test: [ 0/7] Time: 0.943 (0.943) Loss: 2.1196 (2.1196) cLoss: 0.0000 (0.0000) Acc@1: 54.1667 (54.1667)Acc@5: 77.5000 (77.5000) + +2023-08-10 13:33:00,256 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.319) Loss: 1.4934 (1.5311) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (62.7586)Acc@5: 80.0000 (84.5977) + +2023-08-10 13:33:02,256 - train: [ INFO] - Train: 49 [ 0/65 ( 0%)] Loss: 0.017644 (0.0176) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.698s, 70.69/s LR: 5.489e-04 P_Replacement: 0.0 + +2023-08-10 13:33:37,690 - train: [ INFO] - Train: 49 [ 50/65 ( 78%)] Loss: 0.019067 (0.0160) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.83/s LR: 5.489e-04 P_Replacement: 0.0 + +2023-08-10 13:33:47,618 - train: [ INFO] - Train: 49 [ 64/65 (100%)] Loss: 0.015255 (0.0165) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.76/s LR: 5.489e-04 P_Replacement: 0.0 + +2023-08-10 13:33:48,814 - train: [ INFO] - Test: [ 0/7] Time: 1.026 (1.026) Loss: 1.4708 (1.4708) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 86.6667 (86.6667) + +2023-08-10 13:33:50,483 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.337) Loss: 1.9723 (1.5373) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (63.6782)Acc@5: 76.6667 (84.2529) + +2023-08-10 13:33:52,273 - train: [ INFO] - Train: 50 [ 0/65 ( 0%)] Loss: 0.015117 (0.0151) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.547s, 77.59/s LR: 5.474e-04 P_Replacement: 0.0 + +2023-08-10 13:34:27,767 - train: [ INFO] - Train: 50 [ 50/65 ( 78%)] Loss: 0.017306 (0.0171) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (99.9837) Time: 0.726s, 165.23/s LR: 5.474e-04 P_Replacement: 0.0 + +2023-08-10 13:34:37,705 - train: [ INFO] - Train: 50 [ 64/65 (100%)] Loss: 0.013701 (0.0167) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (99.9872) Time: 0.723s, 166.04/s LR: 5.474e-04 P_Replacement: 0.0 + +2023-08-10 13:34:38,812 - train: [ INFO] - Test: [ 0/7] Time: 0.997 (0.997) Loss: 1.5094 (1.5094) cLoss: 0.0000 (0.0000) Acc@1: 60.8333 (60.8333)Acc@5: 84.1667 (84.1667) + +2023-08-10 13:34:40,589 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.347) Loss: 1.2548 (1.5487) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (63.1035)Acc@5: 90.0000 (84.2529) + +2023-08-10 13:34:42,426 - train: [ INFO] - Train: 51 [ 0/65 ( 0%)] Loss: 0.014460 (0.0145) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.577s, 76.09/s LR: 5.458e-04 P_Replacement: 0.0 + +2023-08-10 13:35:17,767 - train: [ INFO] - Train: 51 [ 50/65 ( 78%)] Loss: 0.013033 (0.0148) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.78/s LR: 5.458e-04 P_Replacement: 0.0 + +2023-08-10 13:35:27,726 - train: [ INFO] - Train: 51 [ 64/65 (100%)] Loss: 0.013483 (0.0151) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.40/s LR: 5.458e-04 P_Replacement: 0.0 + +2023-08-10 13:35:28,773 - train: [ INFO] - Test: [ 0/7] Time: 0.934 (0.934) Loss: 1.4882 (1.4882) cLoss: 0.0000 (0.0000) Acc@1: 60.8333 (60.8333)Acc@5: 85.8333 (85.8333) + +2023-08-10 13:35:30,425 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.323) Loss: 1.7157 (1.6533) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (62.1839)Acc@5: 83.3333 (82.9885) + +2023-08-10 13:35:32,297 - train: [ INFO] - Train: 52 [ 0/65 ( 0%)] Loss: 0.016516 (0.0165) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.607s, 74.69/s LR: 5.443e-04 P_Replacement: 0.0 + +2023-08-10 13:36:07,672 - train: [ INFO] - Train: 52 [ 50/65 ( 78%)] Loss: 0.017299 (0.0197) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.49/s LR: 5.443e-04 P_Replacement: 0.0 + +2023-08-10 13:36:17,644 - train: [ INFO] - Train: 52 [ 64/65 (100%)] Loss: 0.015283 (0.0191) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.13/s LR: 5.443e-04 P_Replacement: 0.0 + +2023-08-10 13:36:18,665 - train: [ INFO] - Test: [ 0/7] Time: 0.913 (0.913) Loss: 1.5517 (1.5517) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 83.3333 (83.3333) + +2023-08-10 13:36:20,268 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.315) Loss: 1.1252 (1.4867) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (64.9425)Acc@5: 90.0000 (85.6322) + +2023-08-10 13:36:20,532 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-52.pth.tar', 64.9425311910695) + +2023-08-10 13:36:22,225 - train: [ INFO] - Train: 53 [ 0/65 ( 0%)] Loss: 0.016134 (0.0161) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.669s, 71.91/s LR: 5.427e-04 P_Replacement: 0.0 + +2023-08-10 13:36:57,683 - train: [ INFO] - Train: 53 [ 50/65 ( 78%)] Loss: 0.012346 (0.0156) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.85/s LR: 5.427e-04 P_Replacement: 0.0 + +2023-08-10 13:37:07,641 - train: [ INFO] - Train: 53 [ 64/65 (100%)] Loss: 0.016416 (0.0154) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.67/s LR: 5.427e-04 P_Replacement: 0.0 + +2023-08-10 13:37:08,715 - train: [ INFO] - Test: [ 0/7] Time: 0.962 (0.962) Loss: 1.4942 (1.4942) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (60.0000)Acc@5: 85.8333 (85.8333) + +2023-08-10 13:37:10,345 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.324) Loss: 1.8673 (1.6017) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (62.1839)Acc@5: 83.3333 (83.9081) + +2023-08-10 13:37:12,267 - train: [ INFO] - Train: 54 [ 0/65 ( 0%)] Loss: 0.018406 (0.0184) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.643s, 73.03/s LR: 5.411e-04 P_Replacement: 0.0 + +2023-08-10 13:37:47,756 - train: [ INFO] - Train: 54 [ 50/65 ( 78%)] Loss: 0.013103 (0.0148) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.83/s LR: 5.411e-04 P_Replacement: 0.0 + +2023-08-10 13:37:57,651 - train: [ INFO] - Train: 54 [ 64/65 (100%)] Loss: 0.017089 (0.0147) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.88/s LR: 5.411e-04 P_Replacement: 0.0 + +2023-08-10 13:37:58,648 - train: [ INFO] - Test: [ 0/7] Time: 0.894 (0.894) Loss: 1.3605 (1.3605) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 85.0000 (85.0000) + +2023-08-10 13:38:00,287 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.317) Loss: 2.0592 (1.5117) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (62.9885)Acc@5: 76.6667 (84.4828) + +2023-08-10 13:38:02,155 - train: [ INFO] - Train: 55 [ 0/65 ( 0%)] Loss: 0.014656 (0.0147) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.622s, 73.97/s LR: 5.395e-04 P_Replacement: 0.0 + +2023-08-10 13:38:37,589 - train: [ INFO] - Train: 55 [ 50/65 ( 78%)] Loss: 0.012664 (0.0153) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (99.9837) Time: 0.727s, 165.17/s LR: 5.395e-04 P_Replacement: 0.0 + +2023-08-10 13:38:47,455 - train: [ INFO] - Train: 55 [ 64/65 (100%)] Loss: 0.012560 (0.0150) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (99.9872) Time: 0.722s, 166.24/s LR: 5.395e-04 P_Replacement: 0.0 + +2023-08-10 13:38:48,531 - train: [ INFO] - Test: [ 0/7] Time: 0.946 (0.946) Loss: 1.7641 (1.7641) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 77.5000 (77.5000) + +2023-08-10 13:38:50,205 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.327) Loss: 1.3922 (1.4760) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (65.2874)Acc@5: 86.6667 (85.0575) + +2023-08-10 13:38:50,478 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-55.pth.tar', 65.2873587772764) + +2023-08-10 13:38:52,048 - train: [ INFO] - Train: 56 [ 0/65 ( 0%)] Loss: 0.012717 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.552s, 77.34/s LR: 5.378e-04 P_Replacement: 0.0 + +2023-08-10 13:39:27,391 - train: [ INFO] - Train: 56 [ 50/65 ( 78%)] Loss: 0.010768 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.89/s LR: 5.378e-04 P_Replacement: 0.0 + +2023-08-10 13:39:37,296 - train: [ INFO] - Train: 56 [ 64/65 (100%)] Loss: 0.011425 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.68/s LR: 5.378e-04 P_Replacement: 0.0 + +2023-08-10 13:39:38,416 - train: [ INFO] - Test: [ 0/7] Time: 0.993 (0.993) Loss: 1.2952 (1.2952) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 89.1667 (89.1667) + +2023-08-10 13:39:40,047 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.328) Loss: 1.5636 (1.5212) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (64.0230)Acc@5: 86.6667 (85.0575) + +2023-08-10 13:39:41,967 - train: [ INFO] - Train: 57 [ 0/65 ( 0%)] Loss: 0.011031 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.645s, 72.96/s LR: 5.361e-04 P_Replacement: 0.0 + +2023-08-10 13:40:17,349 - train: [ INFO] - Train: 57 [ 50/65 ( 78%)] Loss: 0.023955 (0.0217) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.30/s LR: 5.361e-04 P_Replacement: 0.0 + +2023-08-10 13:40:27,297 - train: [ INFO] - Train: 57 [ 64/65 (100%)] Loss: 0.024401 (0.0227) Acc@1: 99.1667 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.06/s LR: 5.361e-04 P_Replacement: 0.0 + +2023-08-10 13:40:28,359 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 1.7542 (1.7542) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 84.1667 (84.1667) + +2023-08-10 13:40:29,971 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.318) Loss: 1.7381 (1.6055) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (62.2989)Acc@5: 80.0000 (84.2529) + +2023-08-10 13:40:31,818 - train: [ INFO] - Train: 58 [ 0/65 ( 0%)] Loss: 0.030382 (0.0304) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.563s, 76.76/s LR: 5.344e-04 P_Replacement: 0.0 + +2023-08-10 13:41:07,364 - train: [ INFO] - Train: 58 [ 50/65 ( 78%)] Loss: 0.510328 (0.1308) Acc@1: 88.3333 (98.4641) Acc@5: 99.1667 (99.9183) Time: 0.728s, 164.93/s LR: 5.344e-04 P_Replacement: 0.0 + +2023-08-10 13:41:17,322 - train: [ INFO] - Train: 58 [ 64/65 (100%)] Loss: 0.834345 (0.2946) Acc@1: 83.3333 (94.5000) Acc@5: 94.1667 (99.0256) Time: 0.724s, 165.74/s LR: 5.344e-04 P_Replacement: 0.0 + +2023-08-10 13:41:18,378 - train: [ INFO] - Test: [ 0/7] Time: 0.958 (0.958) Loss: 2.2160 (2.2160) cLoss: 0.0000 (0.0000) Acc@1: 48.3333 (48.3333)Acc@5: 74.1667 (74.1667) + +2023-08-10 13:41:20,046 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.328) Loss: 2.2157 (2.3357) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (49.0805)Acc@5: 73.3333 (72.7586) + +2023-08-10 13:41:22,031 - train: [ INFO] - Train: 59 [ 0/65 ( 0%)] Loss: 0.955123 (0.9551) Acc@1: 80.0000 (80.0000) Acc@5: 95.0000 (95.0000) Time: 1.672s, 71.78/s LR: 5.327e-04 P_Replacement: 0.0 + +2023-08-10 13:41:57,306 - train: [ INFO] - Train: 59 [ 50/65 ( 78%)] Loss: 0.425712 (0.7212) Acc@1: 86.6667 (81.4052) Acc@5: 99.1667 (96.1111) Time: 0.724s, 165.65/s LR: 5.327e-04 P_Replacement: 0.0 + +2023-08-10 13:42:07,254 - train: [ INFO] - Train: 59 [ 64/65 (100%)] Loss: 0.366086 (0.6459) Acc@1: 91.6667 (83.2949) Acc@5: 98.3333 (96.6795) Time: 0.721s, 166.34/s LR: 5.327e-04 P_Replacement: 0.0 + +2023-08-10 13:42:08,355 - train: [ INFO] - Test: [ 0/7] Time: 0.985 (0.985) Loss: 2.2107 (2.2107) cLoss: 0.0000 (0.0000) Acc@1: 50.8333 (50.8333)Acc@5: 73.3333 (73.3333) + +2023-08-10 13:42:10,007 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.330) Loss: 2.7556 (1.9761) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (54.5977)Acc@5: 66.6667 (78.1609) + +2023-08-10 13:42:11,981 - train: [ INFO] - Train: 60 [ 0/65 ( 0%)] Loss: 0.495148 (0.4951) Acc@1: 92.5000 (92.5000) Acc@5: 98.3333 (98.3333) Time: 1.676s, 71.58/s LR: 5.309e-04 P_Replacement: 0.0 + +2023-08-10 13:42:47,439 - train: [ INFO] - Train: 60 [ 50/65 ( 78%)] Loss: 0.165236 (0.2172) Acc@1: 98.3333 (94.8529) Acc@5: 100.0000 (99.5262) Time: 0.728s, 164.82/s LR: 5.309e-04 P_Replacement: 0.0 + +2023-08-10 13:42:57,353 - train: [ INFO] - Train: 60 [ 64/65 (100%)] Loss: 0.080969 (0.1960) Acc@1: 99.1667 (95.4231) Acc@5: 100.0000 (99.5769) Time: 0.724s, 165.80/s LR: 5.309e-04 P_Replacement: 0.0 + +2023-08-10 13:42:58,442 - train: [ INFO] - Test: [ 0/7] Time: 0.930 (0.930) Loss: 1.7231 (1.7231) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 80.8333 (80.8333) + +2023-08-10 13:43:00,102 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.324) Loss: 2.1858 (1.6651) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (60.0000)Acc@5: 80.0000 (82.8736) + +2023-08-10 13:43:01,982 - train: [ INFO] - Train: 61 [ 0/65 ( 0%)] Loss: 0.175129 (0.1751) Acc@1: 92.5000 (92.5000) Acc@5: 100.0000 (100.0000) Time: 1.574s, 76.23/s LR: 5.292e-04 P_Replacement: 0.0 + +2023-08-10 13:43:37,366 - train: [ INFO] - Train: 61 [ 50/65 ( 78%)] Loss: 0.115053 (0.0906) Acc@1: 99.1667 (98.5131) Acc@5: 100.0000 (99.9183) Time: 0.725s, 165.60/s LR: 5.292e-04 P_Replacement: 0.0 + +2023-08-10 13:43:47,264 - train: [ INFO] - Train: 61 [ 64/65 (100%)] Loss: 0.058594 (0.0856) Acc@1: 100.0000 (98.6026) Acc@5: 100.0000 (99.9231) Time: 0.721s, 166.48/s LR: 5.292e-04 P_Replacement: 0.0 + +2023-08-10 13:43:48,342 - train: [ INFO] - Test: [ 0/7] Time: 0.961 (0.961) Loss: 1.5334 (1.5334) cLoss: 0.0000 (0.0000) Acc@1: 65.8333 (65.8333)Acc@5: 84.1667 (84.1667) + +2023-08-10 13:43:49,961 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.323) Loss: 2.4973 (1.5467) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (62.7586)Acc@5: 63.3333 (83.5632) + +2023-08-10 13:43:51,800 - train: [ INFO] - Train: 62 [ 0/65 ( 0%)] Loss: 0.057731 (0.0577) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.552s, 77.31/s LR: 5.273e-04 P_Replacement: 0.0 + +2023-08-10 13:44:27,205 - train: [ INFO] - Train: 62 [ 50/65 ( 78%)] Loss: 0.063332 (0.0554) Acc@1: 99.1667 (99.3628) Acc@5: 100.0000 (99.9346) Time: 0.725s, 165.61/s LR: 5.273e-04 P_Replacement: 0.0 + +2023-08-10 13:44:37,142 - train: [ INFO] - Train: 62 [ 64/65 (100%)] Loss: 0.037616 (0.0529) Acc@1: 100.0000 (99.4615) Acc@5: 100.0000 (99.9359) Time: 0.721s, 166.34/s LR: 5.273e-04 P_Replacement: 0.0 + +2023-08-10 13:44:38,260 - train: [ INFO] - Test: [ 0/7] Time: 0.981 (0.981) Loss: 1.8648 (1.8648) cLoss: 0.0000 (0.0000) Acc@1: 57.5000 (57.5000)Acc@5: 84.1667 (84.1667) + +2023-08-10 13:44:39,929 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.331) Loss: 1.5765 (1.5156) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.6782)Acc@5: 83.3333 (85.5172) + +2023-08-10 13:44:41,879 - train: [ INFO] - Train: 63 [ 0/65 ( 0%)] Loss: 0.056946 (0.0569) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.645s, 72.96/s LR: 5.255e-04 P_Replacement: 0.0 + +2023-08-10 13:45:17,348 - train: [ INFO] - Train: 63 [ 50/65 ( 78%)] Loss: 0.033076 (0.0456) Acc@1: 100.0000 (99.4281) Acc@5: 100.0000 (99.9510) Time: 0.728s, 164.91/s LR: 5.255e-04 P_Replacement: 0.0 + +2023-08-10 13:45:27,247 - train: [ INFO] - Train: 63 [ 64/65 (100%)] Loss: 0.035716 (0.0440) Acc@1: 100.0000 (99.5000) Acc@5: 100.0000 (99.9615) Time: 0.723s, 165.92/s LR: 5.255e-04 P_Replacement: 0.0 + +2023-08-10 13:45:28,264 - train: [ INFO] - Test: [ 0/7] Time: 0.920 (0.920) Loss: 1.6157 (1.6157) cLoss: 0.0000 (0.0000) Acc@1: 61.6667 (61.6667)Acc@5: 81.6667 (81.6667) + +2023-08-10 13:45:29,880 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.317) Loss: 1.3584 (1.4962) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (63.3333)Acc@5: 86.6667 (84.0230) + +2023-08-10 13:45:31,701 - train: [ INFO] - Train: 64 [ 0/65 ( 0%)] Loss: 0.032511 (0.0325) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.572s, 76.31/s LR: 5.236e-04 P_Replacement: 0.0 + +2023-08-10 13:46:07,126 - train: [ INFO] - Train: 64 [ 50/65 ( 78%)] Loss: 0.042340 (0.0367) Acc@1: 100.0000 (99.7222) Acc@5: 100.0000 (99.9673) Time: 0.725s, 165.43/s LR: 5.236e-04 P_Replacement: 0.0 + +2023-08-10 13:46:17,062 - train: [ INFO] - Train: 64 [ 64/65 (100%)] Loss: 0.030294 (0.0358) Acc@1: 99.1667 (99.7564) Acc@5: 100.0000 (99.9744) Time: 0.722s, 166.20/s LR: 5.236e-04 P_Replacement: 0.0 + +2023-08-10 13:46:18,183 - train: [ INFO] - Test: [ 0/7] Time: 0.976 (0.976) Loss: 1.6100 (1.6100) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 85.8333 (85.8333) + +2023-08-10 13:46:19,849 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.330) Loss: 1.6769 (1.4947) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (63.3333)Acc@5: 83.3333 (85.0575) + +2023-08-10 13:46:21,642 - train: [ INFO] - Train: 65 [ 0/65 ( 0%)] Loss: 0.036380 (0.0364) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.551s, 77.37/s LR: 5.218e-04 P_Replacement: 0.0 + +2023-08-10 13:46:56,922 - train: [ INFO] - Train: 65 [ 50/65 ( 78%)] Loss: 0.025429 (0.0291) Acc@1: 100.0000 (99.7876) Acc@5: 100.0000 (99.9837) Time: 0.722s, 166.17/s LR: 5.218e-04 P_Replacement: 0.0 + +2023-08-10 13:47:06,847 - train: [ INFO] - Train: 65 [ 64/65 (100%)] Loss: 0.030098 (0.0292) Acc@1: 100.0000 (99.8205) Acc@5: 100.0000 (99.9872) Time: 0.719s, 166.83/s LR: 5.218e-04 P_Replacement: 0.0 + +2023-08-10 13:47:07,905 - train: [ INFO] - Test: [ 0/7] Time: 0.941 (0.941) Loss: 1.3247 (1.3247) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 89.1667 (89.1667) + +2023-08-10 13:47:09,613 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.331) Loss: 1.6993 (1.5014) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (64.3678)Acc@5: 83.3333 (85.1724) + +2023-08-10 13:47:11,401 - train: [ INFO] - Train: 66 [ 0/65 ( 0%)] Loss: 0.032378 (0.0324) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.525s, 78.68/s LR: 5.199e-04 P_Replacement: 0.0 + +2023-08-10 13:47:46,709 - train: [ INFO] - Train: 66 [ 50/65 ( 78%)] Loss: 0.024208 (0.0255) Acc@1: 100.0000 (99.8366) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.16/s LR: 5.199e-04 P_Replacement: 0.0 + +2023-08-10 13:47:56,620 - train: [ INFO] - Train: 66 [ 64/65 (100%)] Loss: 0.022683 (0.0251) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.87/s LR: 5.199e-04 P_Replacement: 0.0 + +2023-08-10 13:47:57,686 - train: [ INFO] - Test: [ 0/7] Time: 0.943 (0.943) Loss: 1.2356 (1.2356) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 88.3333 (88.3333) + +2023-08-10 13:47:59,370 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.328) Loss: 0.7953 (1.4602) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (65.5172)Acc@5: 90.0000 (85.8621) + +2023-08-10 13:47:59,632 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-66.pth.tar', 65.5172453255489) + +2023-08-10 13:48:01,176 - train: [ INFO] - Train: 67 [ 0/65 ( 0%)] Loss: 0.021376 (0.0214) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.529s, 78.46/s LR: 5.179e-04 P_Replacement: 0.0 + +2023-08-10 13:48:36,404 - train: [ INFO] - Train: 67 [ 50/65 ( 78%)] Loss: 0.024495 (0.0230) Acc@1: 99.1667 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.51/s LR: 5.179e-04 P_Replacement: 0.0 + +2023-08-10 13:48:46,306 - train: [ INFO] - Train: 67 [ 64/65 (100%)] Loss: 0.023067 (0.0228) Acc@1: 99.1667 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.18/s LR: 5.179e-04 P_Replacement: 0.0 + +2023-08-10 13:48:47,377 - train: [ INFO] - Test: [ 0/7] Time: 0.963 (0.963) Loss: 1.5201 (1.5201) cLoss: 0.0000 (0.0000) Acc@1: 59.1667 (59.1667)Acc@5: 82.5000 (82.5000) + +2023-08-10 13:48:49,012 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.325) Loss: 0.9408 (1.4196) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (66.2069)Acc@5: 93.3333 (85.5172) + +2023-08-10 13:48:49,248 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-67.pth.tar', 66.20689891946726) + +2023-08-10 13:48:50,781 - train: [ INFO] - Train: 68 [ 0/65 ( 0%)] Loss: 0.020155 (0.0202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.518s, 79.05/s LR: 5.160e-04 P_Replacement: 0.0 + +2023-08-10 13:49:26,145 - train: [ INFO] - Train: 68 [ 50/65 ( 78%)] Loss: 0.019601 (0.0224) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 5.160e-04 P_Replacement: 0.0 + +2023-08-10 13:49:36,077 - train: [ INFO] - Train: 68 [ 64/65 (100%)] Loss: 0.021528 (0.0223) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.63/s LR: 5.160e-04 P_Replacement: 0.0 + +2023-08-10 13:49:37,119 - train: [ INFO] - Test: [ 0/7] Time: 0.918 (0.918) Loss: 1.4847 (1.4847) cLoss: 0.0000 (0.0000) Acc@1: 60.8333 (60.8333)Acc@5: 87.5000 (87.5000) + +2023-08-10 13:49:38,804 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.325) Loss: 1.3036 (1.4754) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (64.4828)Acc@5: 86.6667 (85.2874) + +2023-08-10 13:49:40,621 - train: [ INFO] - Train: 69 [ 0/65 ( 0%)] Loss: 0.021203 (0.0212) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.564s, 76.75/s LR: 5.140e-04 P_Replacement: 0.0 + +2023-08-10 13:50:15,875 - train: [ INFO] - Train: 69 [ 50/65 ( 78%)] Loss: 0.019450 (0.0204) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.23/s LR: 5.140e-04 P_Replacement: 0.0 + +2023-08-10 13:50:25,779 - train: [ INFO] - Train: 69 [ 64/65 (100%)] Loss: 0.020647 (0.0203) Acc@1: 99.1667 (99.8974) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.95/s LR: 5.140e-04 P_Replacement: 0.0 + +2023-08-10 13:50:26,877 - train: [ INFO] - Test: [ 0/7] Time: 0.951 (0.951) Loss: 1.7341 (1.7341) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (56.6667)Acc@5: 84.1667 (84.1667) + +2023-08-10 13:50:28,593 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.333) Loss: 1.0446 (1.5807) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (63.9080)Acc@5: 90.0000 (85.1724) + +2023-08-10 13:50:30,387 - train: [ INFO] - Train: 70 [ 0/65 ( 0%)] Loss: 0.020071 (0.0201) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.548s, 77.51/s LR: 5.120e-04 P_Replacement: 0.0 + +2023-08-10 13:51:05,748 - train: [ INFO] - Train: 70 [ 50/65 ( 78%)] Loss: 0.019406 (0.0194) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.82/s LR: 5.120e-04 P_Replacement: 0.0 + +2023-08-10 13:51:15,626 - train: [ INFO] - Train: 70 [ 64/65 (100%)] Loss: 0.019516 (0.0192) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.72/s LR: 5.120e-04 P_Replacement: 0.0 + +2023-08-10 13:51:16,711 - train: [ INFO] - Test: [ 0/7] Time: 0.958 (0.958) Loss: 1.4967 (1.4967) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 85.8333 (85.8333) + +2023-08-10 13:51:18,409 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.332) Loss: 1.7644 (1.4913) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (65.9770)Acc@5: 83.3333 (84.3678) + +2023-08-10 13:51:20,250 - train: [ INFO] - Train: 71 [ 0/65 ( 0%)] Loss: 0.023178 (0.0232) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.547s, 77.55/s LR: 5.099e-04 P_Replacement: 0.0 + +2023-08-10 13:51:55,670 - train: [ INFO] - Train: 71 [ 50/65 ( 78%)] Loss: 0.017819 (0.0186) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.57/s LR: 5.099e-04 P_Replacement: 0.0 + +2023-08-10 13:52:05,642 - train: [ INFO] - Train: 71 [ 64/65 (100%)] Loss: 0.016026 (0.0187) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (99.9872) Time: 0.722s, 166.19/s LR: 5.099e-04 P_Replacement: 0.0 + +2023-08-10 13:52:06,699 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 1.7092 (1.7092) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 79.1667 (79.1667) + +2023-08-10 13:52:08,391 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.328) Loss: 0.5939 (1.5268) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (63.9080)Acc@5: 93.3333 (85.0575) + +2023-08-10 13:52:10,211 - train: [ INFO] - Train: 72 [ 0/65 ( 0%)] Loss: 0.016729 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.517s, 79.09/s LR: 5.079e-04 P_Replacement: 0.0 + +2023-08-10 13:52:45,597 - train: [ INFO] - Train: 72 [ 50/65 ( 78%)] Loss: 0.014053 (0.0171) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.85/s LR: 5.079e-04 P_Replacement: 0.0 + +2023-08-10 13:52:55,520 - train: [ INFO] - Train: 72 [ 64/65 (100%)] Loss: 0.018476 (0.0169) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.58/s LR: 5.079e-04 P_Replacement: 0.0 + +2023-08-10 13:52:56,572 - train: [ INFO] - Test: [ 0/7] Time: 0.918 (0.918) Loss: 1.9435 (1.9435) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (60.0000)Acc@5: 76.6667 (76.6667) + +2023-08-10 13:52:58,311 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.332) Loss: 0.8608 (1.3895) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (67.4713)Acc@5: 96.6667 (85.5172) + +2023-08-10 13:52:58,592 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-72.pth.tar', 67.47126822636045) + +2023-08-10 13:53:00,102 - train: [ INFO] - Train: 73 [ 0/65 ( 0%)] Loss: 0.016021 (0.0160) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.23/s LR: 5.058e-04 P_Replacement: 0.0 + +2023-08-10 13:53:35,452 - train: [ INFO] - Train: 73 [ 50/65 ( 78%)] Loss: 0.015791 (0.0166) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 5.058e-04 P_Replacement: 0.0 + +2023-08-10 13:53:45,330 - train: [ INFO] - Train: 73 [ 64/65 (100%)] Loss: 0.016347 (0.0166) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.95/s LR: 5.058e-04 P_Replacement: 0.0 + +2023-08-10 13:53:46,367 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 1.4698 (1.4698) cLoss: 0.0000 (0.0000) Acc@1: 65.8333 (65.8333)Acc@5: 85.0000 (85.0000) + +2023-08-10 13:53:47,982 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.317) Loss: 1.6571 (1.4474) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (66.2069)Acc@5: 76.6667 (84.5977) + +2023-08-10 13:53:49,844 - train: [ INFO] - Train: 74 [ 0/65 ( 0%)] Loss: 0.018298 (0.0183) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.586s, 75.68/s LR: 5.037e-04 P_Replacement: 0.0 + +2023-08-10 13:54:25,145 - train: [ INFO] - Train: 74 [ 50/65 ( 78%)] Loss: 0.013940 (0.0154) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.93/s LR: 5.037e-04 P_Replacement: 0.0 + +2023-08-10 13:54:35,063 - train: [ INFO] - Train: 74 [ 64/65 (100%)] Loss: 0.015815 (0.0154) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.66/s LR: 5.037e-04 P_Replacement: 0.0 + +2023-08-10 13:54:36,133 - train: [ INFO] - Test: [ 0/7] Time: 0.951 (0.951) Loss: 1.6545 (1.6545) cLoss: 0.0000 (0.0000) Acc@1: 61.6667 (61.6667)Acc@5: 83.3333 (83.3333) + +2023-08-10 13:54:37,819 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.330) Loss: 1.2462 (1.5061) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (63.7931)Acc@5: 86.6667 (85.0575) + +2023-08-10 13:54:39,652 - train: [ INFO] - Train: 75 [ 0/65 ( 0%)] Loss: 0.014600 (0.0146) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.583s, 75.82/s LR: 5.016e-04 P_Replacement: 0.0 + +2023-08-10 13:55:14,953 - train: [ INFO] - Train: 75 [ 50/65 ( 78%)] Loss: 0.013825 (0.0155) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 5.016e-04 P_Replacement: 0.0 + +2023-08-10 13:55:24,799 - train: [ INFO] - Train: 75 [ 64/65 (100%)] Loss: 0.014865 (0.0155) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.93/s LR: 5.016e-04 P_Replacement: 0.0 + +2023-08-10 13:55:25,826 - train: [ INFO] - Test: [ 0/7] Time: 0.912 (0.912) Loss: 1.1540 (1.1540) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 91.6667 (91.6667) + +2023-08-10 13:55:27,452 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.317) Loss: 1.9378 (1.4937) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (65.1724)Acc@5: 73.3333 (85.8621) + +2023-08-10 13:55:29,299 - train: [ INFO] - Train: 76 [ 0/65 ( 0%)] Loss: 0.018214 (0.0182) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.558s, 77.04/s LR: 4.994e-04 P_Replacement: 0.0 + +2023-08-10 13:56:04,716 - train: [ INFO] - Train: 76 [ 50/65 ( 78%)] Loss: 0.027251 (0.0151) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.55/s LR: 4.994e-04 P_Replacement: 0.0 + +2023-08-10 13:56:14,646 - train: [ INFO] - Train: 76 [ 64/65 (100%)] Loss: 0.014134 (0.0155) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.33/s LR: 4.994e-04 P_Replacement: 0.0 + +2023-08-10 13:56:15,704 - train: [ INFO] - Test: [ 0/7] Time: 0.928 (0.928) Loss: 1.3495 (1.3495) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 85.8333 (85.8333) + +2023-08-10 13:56:17,421 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.331) Loss: 1.5139 (1.4680) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (65.8621)Acc@5: 83.3333 (84.7126) + +2023-08-10 13:56:19,235 - train: [ INFO] - Train: 77 [ 0/65 ( 0%)] Loss: 0.013807 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.533s, 78.26/s LR: 4.973e-04 P_Replacement: 0.0 + +2023-08-10 13:56:54,606 - train: [ INFO] - Train: 77 [ 50/65 ( 78%)] Loss: 0.012423 (0.0151) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.86/s LR: 4.973e-04 P_Replacement: 0.0 + +2023-08-10 13:57:04,516 - train: [ INFO] - Train: 77 [ 64/65 (100%)] Loss: 0.016751 (0.0151) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.64/s LR: 4.973e-04 P_Replacement: 0.0 + +2023-08-10 13:57:05,614 - train: [ INFO] - Test: [ 0/7] Time: 0.965 (0.965) Loss: 1.3890 (1.3890) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 85.8333 (85.8333) + +2023-08-10 13:57:07,255 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.326) Loss: 1.4614 (1.4327) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 80.0000 (85.5172) + +2023-08-10 13:57:09,123 - train: [ INFO] - Train: 78 [ 0/65 ( 0%)] Loss: 0.013837 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.586s, 75.68/s LR: 4.951e-04 P_Replacement: 0.0 + +2023-08-10 13:57:44,491 - train: [ INFO] - Train: 78 [ 50/65 ( 78%)] Loss: 0.012451 (0.0136) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.67/s LR: 4.951e-04 P_Replacement: 0.0 + +2023-08-10 13:57:54,399 - train: [ INFO] - Train: 78 [ 64/65 (100%)] Loss: 0.012889 (0.0137) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.49/s LR: 4.951e-04 P_Replacement: 0.0 + +2023-08-10 13:57:55,502 - train: [ INFO] - Test: [ 0/7] Time: 0.953 (0.953) Loss: 1.0781 (1.0781) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 91.6667 (91.6667) + +2023-08-10 13:57:57,225 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.335) Loss: 1.1307 (1.4253) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.5517)Acc@5: 86.6667 (85.2874) + +2023-08-10 13:57:59,059 - train: [ INFO] - Train: 79 [ 0/65 ( 0%)] Loss: 0.012803 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.547s, 77.59/s LR: 4.929e-04 P_Replacement: 0.0 + +2023-08-10 13:58:34,288 - train: [ INFO] - Train: 79 [ 50/65 ( 78%)] Loss: 0.013528 (0.0135) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.42/s LR: 4.929e-04 P_Replacement: 0.0 + +2023-08-10 13:58:44,182 - train: [ INFO] - Train: 79 [ 64/65 (100%)] Loss: 0.013183 (0.0133) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.14/s LR: 4.929e-04 P_Replacement: 0.0 + +2023-08-10 13:58:45,238 - train: [ INFO] - Test: [ 0/7] Time: 0.918 (0.918) Loss: 1.6032 (1.6032) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 80.8333 (80.8333) + +2023-08-10 13:58:46,908 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.324) Loss: 1.4359 (1.3270) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (68.0460)Acc@5: 83.3333 (86.5517) + +2023-08-10 13:58:47,194 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-79.pth.tar', 68.04598025617928) + +2023-08-10 13:58:48,753 - train: [ INFO] - Train: 80 [ 0/65 ( 0%)] Loss: 0.012776 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.546s, 77.62/s LR: 4.907e-04 P_Replacement: 0.0 + +2023-08-10 13:59:24,128 - train: [ INFO] - Train: 80 [ 50/65 ( 78%)] Loss: 0.015021 (0.0136) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 4.907e-04 P_Replacement: 0.0 + +2023-08-10 13:59:34,093 - train: [ INFO] - Train: 80 [ 64/65 (100%)] Loss: 0.012160 (0.0136) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.37/s LR: 4.907e-04 P_Replacement: 0.0 + +2023-08-10 13:59:35,135 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 1.3228 (1.3228) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 86.6667 (86.6667) + +2023-08-10 13:59:36,771 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.320) Loss: 1.2310 (1.4811) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (64.5977)Acc@5: 86.6667 (85.1724) + +2023-08-10 13:59:38,589 - train: [ INFO] - Train: 81 [ 0/65 ( 0%)] Loss: 0.013171 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.543s, 77.76/s LR: 4.884e-04 P_Replacement: 0.0 + +2023-08-10 14:00:13,834 - train: [ INFO] - Train: 81 [ 50/65 ( 78%)] Loss: 0.013100 (0.0132) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 4.884e-04 P_Replacement: 0.0 + +2023-08-10 14:00:23,737 - train: [ INFO] - Train: 81 [ 64/65 (100%)] Loss: 0.012365 (0.0132) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.06/s LR: 4.884e-04 P_Replacement: 0.0 + +2023-08-10 14:00:24,835 - train: [ INFO] - Test: [ 0/7] Time: 0.962 (0.962) Loss: 1.2578 (1.2578) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 91.6667 (91.6667) + +2023-08-10 14:00:26,537 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.333) Loss: 1.8299 (1.4519) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (66.6667)Acc@5: 83.3333 (84.9425) + +2023-08-10 14:00:28,401 - train: [ INFO] - Train: 82 [ 0/65 ( 0%)] Loss: 0.011514 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.578s, 76.06/s LR: 4.861e-04 P_Replacement: 0.0 + +2023-08-10 14:01:03,728 - train: [ INFO] - Train: 82 [ 50/65 ( 78%)] Loss: 0.011390 (0.0127) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.84/s LR: 4.861e-04 P_Replacement: 0.0 + +2023-08-10 14:01:13,690 - train: [ INFO] - Train: 82 [ 64/65 (100%)] Loss: 0.011313 (0.0125) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.44/s LR: 4.861e-04 P_Replacement: 0.0 + +2023-08-10 14:01:14,743 - train: [ INFO] - Test: [ 0/7] Time: 0.943 (0.943) Loss: 1.6576 (1.6576) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 82.5000 (82.5000) + +2023-08-10 14:01:16,378 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.322) Loss: 1.1291 (1.5245) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (65.1724)Acc@5: 90.0000 (85.1724) + +2023-08-10 14:01:18,254 - train: [ INFO] - Train: 83 [ 0/65 ( 0%)] Loss: 0.011356 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.602s, 74.90/s LR: 4.838e-04 P_Replacement: 0.0 + +2023-08-10 14:01:53,575 - train: [ INFO] - Train: 83 [ 50/65 ( 78%)] Loss: 0.011686 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.75/s LR: 4.838e-04 P_Replacement: 0.0 + +2023-08-10 14:02:03,444 - train: [ INFO] - Train: 83 [ 64/65 (100%)] Loss: 0.011036 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.70/s LR: 4.838e-04 P_Replacement: 0.0 + +2023-08-10 14:02:04,443 - train: [ INFO] - Test: [ 0/7] Time: 0.885 (0.885) Loss: 1.3565 (1.3565) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 88.3333 (88.3333) + +2023-08-10 14:02:06,071 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.314) Loss: 1.9870 (1.4063) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (65.7471)Acc@5: 80.0000 (86.4368) + +2023-08-10 14:02:07,892 - train: [ INFO] - Train: 84 [ 0/65 ( 0%)] Loss: 0.011250 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.567s, 76.56/s LR: 4.815e-04 P_Replacement: 0.0 + +2023-08-10 14:02:43,263 - train: [ INFO] - Train: 84 [ 50/65 ( 78%)] Loss: 0.011999 (0.0120) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.69/s LR: 4.815e-04 P_Replacement: 0.0 + +2023-08-10 14:02:53,218 - train: [ INFO] - Train: 84 [ 64/65 (100%)] Loss: 0.013873 (0.0123) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.35/s LR: 4.815e-04 P_Replacement: 0.0 + +2023-08-10 14:02:54,276 - train: [ INFO] - Test: [ 0/7] Time: 0.951 (0.951) Loss: 1.6508 (1.6508) cLoss: 0.0000 (0.0000) Acc@1: 60.8333 (60.8333)Acc@5: 82.5000 (82.5000) + +2023-08-10 14:02:55,923 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.325) Loss: 0.9021 (1.4283) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (66.0920)Acc@5: 93.3333 (85.8621) + +2023-08-10 14:02:57,730 - train: [ INFO] - Train: 85 [ 0/65 ( 0%)] Loss: 0.012684 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.535s, 78.17/s LR: 4.792e-04 P_Replacement: 0.0 + +2023-08-10 14:03:33,195 - train: [ INFO] - Train: 85 [ 50/65 ( 78%)] Loss: 0.011571 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.43/s LR: 4.792e-04 P_Replacement: 0.0 + +2023-08-10 14:03:43,160 - train: [ INFO] - Train: 85 [ 64/65 (100%)] Loss: 0.012274 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.10/s LR: 4.792e-04 P_Replacement: 0.0 + +2023-08-10 14:03:44,206 - train: [ INFO] - Test: [ 0/7] Time: 0.920 (0.920) Loss: 1.7743 (1.7743) cLoss: 0.0000 (0.0000) Acc@1: 62.5000 (62.5000)Acc@5: 81.6667 (81.6667) + +2023-08-10 14:03:45,894 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.326) Loss: 1.1377 (1.4432) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (65.5172)Acc@5: 90.0000 (85.0575) + +2023-08-10 14:03:47,719 - train: [ INFO] - Train: 86 [ 0/65 ( 0%)] Loss: 0.010938 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.573s, 76.28/s LR: 4.768e-04 P_Replacement: 0.0 + +2023-08-10 14:04:22,996 - train: [ INFO] - Train: 86 [ 50/65 ( 78%)] Loss: 0.011351 (0.0115) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.09/s LR: 4.768e-04 P_Replacement: 0.0 + +2023-08-10 14:04:32,899 - train: [ INFO] - Train: 86 [ 64/65 (100%)] Loss: 0.010144 (0.0114) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.84/s LR: 4.768e-04 P_Replacement: 0.0 + +2023-08-10 14:04:34,001 - train: [ INFO] - Test: [ 0/7] Time: 0.958 (0.958) Loss: 1.1030 (1.1030) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.8333 (90.8333) + +2023-08-10 14:04:35,639 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.325) Loss: 1.1771 (1.4811) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (65.6322)Acc@5: 80.0000 (85.2874) + +2023-08-10 14:04:37,483 - train: [ INFO] - Train: 87 [ 0/65 ( 0%)] Loss: 0.011168 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.567s, 76.60/s LR: 4.745e-04 P_Replacement: 0.0 + +2023-08-10 14:05:12,760 - train: [ INFO] - Train: 87 [ 50/65 ( 78%)] Loss: 0.012450 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 4.745e-04 P_Replacement: 0.0 + +2023-08-10 14:05:22,682 - train: [ INFO] - Train: 87 [ 64/65 (100%)] Loss: 0.010345 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.80/s LR: 4.745e-04 P_Replacement: 0.0 + +2023-08-10 14:05:23,710 - train: [ INFO] - Test: [ 0/7] Time: 0.913 (0.913) Loss: 1.4462 (1.4462) cLoss: 0.0000 (0.0000) Acc@1: 65.8333 (65.8333)Acc@5: 90.0000 (90.0000) + +2023-08-10 14:05:25,375 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.322) Loss: 1.6062 (1.4817) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (65.4023)Acc@5: 86.6667 (86.3218) + +2023-08-10 14:05:27,282 - train: [ INFO] - Train: 88 [ 0/65 ( 0%)] Loss: 0.010882 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.613s, 74.41/s LR: 4.721e-04 P_Replacement: 0.0 + +2023-08-10 14:06:02,543 - train: [ INFO] - Train: 88 [ 50/65 ( 78%)] Loss: 0.011319 (0.0111) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.99/s LR: 4.721e-04 P_Replacement: 0.0 + +2023-08-10 14:06:12,460 - train: [ INFO] - Train: 88 [ 64/65 (100%)] Loss: 0.010422 (0.0111) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.72/s LR: 4.721e-04 P_Replacement: 0.0 + +2023-08-10 14:06:13,515 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 1.3907 (1.3907) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 87.5000 (87.5000) + +2023-08-10 14:06:15,149 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.320) Loss: 1.0961 (1.4549) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (65.8621)Acc@5: 90.0000 (85.6322) + +2023-08-10 14:06:17,014 - train: [ INFO] - Train: 89 [ 0/65 ( 0%)] Loss: 0.010727 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.568s, 76.53/s LR: 4.697e-04 P_Replacement: 0.0 + +2023-08-10 14:06:52,325 - train: [ INFO] - Train: 89 [ 50/65 ( 78%)] Loss: 0.010494 (0.0108) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.98/s LR: 4.697e-04 P_Replacement: 0.0 + +2023-08-10 14:07:02,275 - train: [ INFO] - Train: 89 [ 64/65 (100%)] Loss: 0.010793 (0.0108) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.59/s LR: 4.697e-04 P_Replacement: 0.0 + +2023-08-10 14:07:03,322 - train: [ INFO] - Test: [ 0/7] Time: 0.907 (0.907) Loss: 1.4742 (1.4742) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 85.0000 (85.0000) + +2023-08-10 14:07:05,023 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.326) Loss: 2.3569 (1.4413) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (66.4368)Acc@5: 80.0000 (85.6322) + +2023-08-10 14:07:06,854 - train: [ INFO] - Train: 90 [ 0/65 ( 0%)] Loss: 0.011072 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.536s, 78.11/s LR: 4.672e-04 P_Replacement: 0.0 + +2023-08-10 14:07:42,171 - train: [ INFO] - Train: 90 [ 50/65 ( 78%)] Loss: 0.009843 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.07/s LR: 4.672e-04 P_Replacement: 0.0 + +2023-08-10 14:07:52,089 - train: [ INFO] - Train: 90 [ 64/65 (100%)] Loss: 0.009901 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.78/s LR: 4.672e-04 P_Replacement: 0.0 + +2023-08-10 14:07:53,163 - train: [ INFO] - Test: [ 0/7] Time: 0.946 (0.946) Loss: 1.6310 (1.6310) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 81.6667 (81.6667) + +2023-08-10 14:07:54,758 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.318) Loss: 1.3550 (1.4182) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (66.8966)Acc@5: 80.0000 (86.0920) + +2023-08-10 14:07:56,511 - train: [ INFO] - Train: 91 [ 0/65 ( 0%)] Loss: 0.009719 (0.0097) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.517s, 79.10/s LR: 4.648e-04 P_Replacement: 0.0 + +2023-08-10 14:08:31,885 - train: [ INFO] - Train: 91 [ 50/65 ( 78%)] Loss: 0.010427 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 4.648e-04 P_Replacement: 0.0 + +2023-08-10 14:08:41,762 - train: [ INFO] - Train: 91 [ 64/65 (100%)] Loss: 0.009545 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.79/s LR: 4.648e-04 P_Replacement: 0.0 + +2023-08-10 14:08:42,802 - train: [ INFO] - Test: [ 0/7] Time: 0.912 (0.912) Loss: 1.2259 (1.2259) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 85.8333 (85.8333) + +2023-08-10 14:08:44,464 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.322) Loss: 0.8617 (1.3946) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.4368)Acc@5: 96.6667 (85.5172) + +2023-08-10 14:08:46,309 - train: [ INFO] - Train: 92 [ 0/65 ( 0%)] Loss: 0.010117 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.554s, 77.24/s LR: 4.623e-04 P_Replacement: 0.0 + +2023-08-10 14:09:21,744 - train: [ INFO] - Train: 92 [ 50/65 ( 78%)] Loss: 0.009997 (0.0098) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.49/s LR: 4.623e-04 P_Replacement: 0.0 + +2023-08-10 14:09:31,663 - train: [ INFO] - Train: 92 [ 64/65 (100%)] Loss: 0.010830 (0.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.31/s LR: 4.623e-04 P_Replacement: 0.0 + +2023-08-10 14:09:32,757 - train: [ INFO] - Test: [ 0/7] Time: 0.957 (0.957) Loss: 1.3017 (1.3017) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 87.5000 (87.5000) + +2023-08-10 14:09:34,483 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.335) Loss: 1.4128 (1.3026) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (68.8506)Acc@5: 83.3333 (86.4368) + +2023-08-10 14:09:34,794 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-92.pth.tar', 68.85057751885776) + +2023-08-10 14:09:36,444 - train: [ INFO] - Train: 93 [ 0/65 ( 0%)] Loss: 0.009521 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.633s, 73.48/s LR: 4.598e-04 P_Replacement: 0.0 + +2023-08-10 14:10:11,742 - train: [ INFO] - Train: 93 [ 50/65 ( 78%)] Loss: 0.009367 (0.0099) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.72/s LR: 4.598e-04 P_Replacement: 0.0 + +2023-08-10 14:10:21,619 - train: [ INFO] - Train: 93 [ 64/65 (100%)] Loss: 0.009493 (0.0098) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.65/s LR: 4.598e-04 P_Replacement: 0.0 + +2023-08-10 14:10:22,652 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 1.0493 (1.0493) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 91.6667 (91.6667) + +2023-08-10 14:10:24,246 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.315) Loss: 1.5450 (1.4257) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (67.8161)Acc@5: 90.0000 (86.0920) + +2023-08-10 14:10:26,051 - train: [ INFO] - Train: 94 [ 0/65 ( 0%)] Loss: 0.009335 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.575s, 76.20/s LR: 4.573e-04 P_Replacement: 0.0 + +2023-08-10 14:11:01,335 - train: [ INFO] - Train: 94 [ 50/65 ( 78%)] Loss: 0.009377 (0.0098) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 4.573e-04 P_Replacement: 0.0 + +2023-08-10 14:11:11,232 - train: [ INFO] - Train: 94 [ 64/65 (100%)] Loss: 0.009366 (0.0098) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.83/s LR: 4.573e-04 P_Replacement: 0.0 + +2023-08-10 14:11:12,274 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 1.7062 (1.7062) cLoss: 0.0000 (0.0000) Acc@1: 61.6667 (61.6667)Acc@5: 84.1667 (84.1667) + +2023-08-10 14:11:13,849 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.312) Loss: 0.4927 (1.5413) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (64.7126)Acc@5: 96.6667 (84.4828) + +2023-08-10 14:11:15,745 - train: [ INFO] - Train: 95 [ 0/65 ( 0%)] Loss: 0.009821 (0.0098) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.584s, 75.75/s LR: 4.548e-04 P_Replacement: 0.0 + +2023-08-10 14:11:50,919 - train: [ INFO] - Train: 95 [ 50/65 ( 78%)] Loss: 0.008658 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.50/s LR: 4.548e-04 P_Replacement: 0.0 + +2023-08-10 14:12:00,795 - train: [ INFO] - Train: 95 [ 64/65 (100%)] Loss: 0.009024 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.27/s LR: 4.548e-04 P_Replacement: 0.0 + +2023-08-10 14:12:01,831 - train: [ INFO] - Test: [ 0/7] Time: 0.931 (0.931) Loss: 1.5297 (1.5297) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 81.6667 (81.6667) + +2023-08-10 14:12:03,513 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.327) Loss: 1.3904 (1.4567) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.0920)Acc@5: 86.6667 (84.7126) + +2023-08-10 14:12:05,303 - train: [ INFO] - Train: 96 [ 0/65 ( 0%)] Loss: 0.009535 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.521s, 78.92/s LR: 4.523e-04 P_Replacement: 0.0 + +2023-08-10 14:12:40,553 - train: [ INFO] - Train: 96 [ 50/65 ( 78%)] Loss: 0.008919 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.45/s LR: 4.523e-04 P_Replacement: 0.0 + +2023-08-10 14:12:50,413 - train: [ INFO] - Train: 96 [ 64/65 (100%)] Loss: 0.008257 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.28/s LR: 4.523e-04 P_Replacement: 0.0 + +2023-08-10 14:12:51,483 - train: [ INFO] - Test: [ 0/7] Time: 0.961 (0.961) Loss: 1.1103 (1.1103) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 89.1667 (89.1667) + +2023-08-10 14:12:53,150 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.329) Loss: 1.2506 (1.4074) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (66.6667)Acc@5: 90.0000 (85.6322) + +2023-08-10 14:12:54,994 - train: [ INFO] - Train: 97 [ 0/65 ( 0%)] Loss: 0.009318 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.552s, 77.34/s LR: 4.497e-04 P_Replacement: 0.0 + +2023-08-10 14:13:30,292 - train: [ INFO] - Train: 97 [ 50/65 ( 78%)] Loss: 0.009352 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.09/s LR: 4.497e-04 P_Replacement: 0.0 + +2023-08-10 14:13:40,183 - train: [ INFO] - Train: 97 [ 64/65 (100%)] Loss: 0.008726 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.89/s LR: 4.497e-04 P_Replacement: 0.0 + +2023-08-10 14:13:41,218 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 1.4111 (1.4111) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 82.5000 (82.5000) + +2023-08-10 14:13:42,890 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.325) Loss: 1.2201 (1.3747) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (67.5862)Acc@5: 86.6667 (85.6322) + +2023-08-10 14:13:44,745 - train: [ INFO] - Train: 98 [ 0/65 ( 0%)] Loss: 0.008985 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.551s, 77.38/s LR: 4.471e-04 P_Replacement: 0.0 + +2023-08-10 14:14:19,982 - train: [ INFO] - Train: 98 [ 50/65 ( 78%)] Loss: 0.009981 (0.0089) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.37/s LR: 4.471e-04 P_Replacement: 0.0 + +2023-08-10 14:14:29,832 - train: [ INFO] - Train: 98 [ 64/65 (100%)] Loss: 0.008423 (0.0089) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.717s, 167.26/s LR: 4.471e-04 P_Replacement: 0.0 + +2023-08-10 14:14:30,878 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 1.2728 (1.2728) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 90.0000 (90.0000) + +2023-08-10 14:14:32,500 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.320) Loss: 1.3517 (1.4253) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (67.3563)Acc@5: 90.0000 (86.2069) + +2023-08-10 14:14:34,325 - train: [ INFO] - Train: 99 [ 0/65 ( 0%)] Loss: 0.008787 (0.0088) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.561s, 76.85/s LR: 4.446e-04 P_Replacement: 0.0 + +2023-08-10 14:15:09,657 - train: [ INFO] - Train: 99 [ 50/65 ( 78%)] Loss: 0.008563 (0.0090) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.89/s LR: 4.446e-04 P_Replacement: 0.0 + +2023-08-10 14:15:19,572 - train: [ INFO] - Train: 99 [ 64/65 (100%)] Loss: 0.008147 (0.0089) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.65/s LR: 4.446e-04 P_Replacement: 0.0 + +2023-08-10 14:15:20,636 - train: [ INFO] - Test: [ 0/7] Time: 0.928 (0.928) Loss: 1.1257 (1.1257) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 91.6667 (91.6667) + +2023-08-10 14:15:22,313 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.326) Loss: 1.1991 (1.5981) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (62.9885)Acc@5: 93.3333 (84.2529) + +2023-08-10 14:15:24,137 - train: [ INFO] - Train: 100 [ 0/65 ( 0%)] Loss: 0.009074 (0.0091) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.523s, 78.79/s LR: 4.420e-04 P_Replacement: 0.0 + +2023-08-10 14:15:59,455 - train: [ INFO] - Train: 100 [ 50/65 ( 78%)] Loss: 0.008317 (0.0087) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.15/s LR: 4.420e-04 P_Replacement: 0.0 + +2023-08-10 14:16:09,377 - train: [ INFO] - Train: 100 [ 64/65 (100%)] Loss: 0.008520 (0.0087) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.83/s LR: 4.420e-04 P_Replacement: 0.0 + +2023-08-10 14:16:10,465 - train: [ INFO] - Test: [ 0/7] Time: 0.978 (0.978) Loss: 1.5860 (1.5860) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (60.0000)Acc@5: 83.3333 (83.3333) + +2023-08-10 14:16:12,143 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.332) Loss: 1.4994 (1.3194) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (68.6207)Acc@5: 86.6667 (87.0115) + +2023-08-10 14:16:13,961 - train: [ INFO] - Train: 101 [ 0/65 ( 0%)] Loss: 0.007857 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.566s, 76.63/s LR: 4.393e-04 P_Replacement: 0.0 + +2023-08-10 14:16:49,334 - train: [ INFO] - Train: 101 [ 50/65 ( 78%)] Loss: 0.008168 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.68/s LR: 4.393e-04 P_Replacement: 0.0 + +2023-08-10 14:16:59,150 - train: [ INFO] - Train: 101 [ 64/65 (100%)] Loss: 0.008122 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.83/s LR: 4.393e-04 P_Replacement: 0.0 + +2023-08-10 14:17:00,250 - train: [ INFO] - Test: [ 0/7] Time: 0.966 (0.966) Loss: 1.3440 (1.3440) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 86.6667 (86.6667) + +2023-08-10 14:17:01,914 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.329) Loss: 0.7044 (1.4031) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (67.3563)Acc@5: 96.6667 (84.8276) + +2023-08-10 14:17:03,870 - train: [ INFO] - Train: 102 [ 0/65 ( 0%)] Loss: 0.008185 (0.0082) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.646s, 72.92/s LR: 4.367e-04 P_Replacement: 0.0 + +2023-08-10 14:17:39,229 - train: [ INFO] - Train: 102 [ 50/65 ( 78%)] Loss: 0.008193 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.40/s LR: 4.367e-04 P_Replacement: 0.0 + +2023-08-10 14:17:49,196 - train: [ INFO] - Train: 102 [ 64/65 (100%)] Loss: 0.008047 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.07/s LR: 4.367e-04 P_Replacement: 0.0 + +2023-08-10 14:17:50,256 - train: [ INFO] - Test: [ 0/7] Time: 0.921 (0.921) Loss: 1.9547 (1.9547) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 80.8333 (80.8333) + +2023-08-10 14:17:51,934 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.325) Loss: 1.2406 (1.4559) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (67.5862)Acc@5: 90.0000 (84.8276) + +2023-08-10 14:17:53,787 - train: [ INFO] - Train: 103 [ 0/65 ( 0%)] Loss: 0.008219 (0.0082) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.583s, 75.79/s LR: 4.340e-04 P_Replacement: 0.0 + +2023-08-10 14:18:29,131 - train: [ INFO] - Train: 103 [ 50/65 ( 78%)] Loss: 0.008289 (0.0083) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.74/s LR: 4.340e-04 P_Replacement: 0.0 + +2023-08-10 14:18:39,066 - train: [ INFO] - Train: 103 [ 64/65 (100%)] Loss: 0.008930 (0.0083) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.46/s LR: 4.340e-04 P_Replacement: 0.0 + +2023-08-10 14:18:40,080 - train: [ INFO] - Test: [ 0/7] Time: 0.907 (0.907) Loss: 1.1775 (1.1775) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 88.3333 (88.3333) + +2023-08-10 14:18:41,706 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.317) Loss: 1.6524 (1.3190) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (68.6207)Acc@5: 80.0000 (86.5517) + +2023-08-10 14:18:43,589 - train: [ INFO] - Train: 104 [ 0/65 ( 0%)] Loss: 0.008781 (0.0088) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.597s, 75.12/s LR: 4.314e-04 P_Replacement: 0.0 + +2023-08-10 14:19:18,966 - train: [ INFO] - Train: 104 [ 50/65 ( 78%)] Loss: 0.007630 (0.0082) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.53/s LR: 4.314e-04 P_Replacement: 0.0 + +2023-08-10 14:19:28,872 - train: [ INFO] - Train: 104 [ 64/65 (100%)] Loss: 0.007815 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.39/s LR: 4.314e-04 P_Replacement: 0.0 + +2023-08-10 14:19:29,931 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 1.3955 (1.3955) cLoss: 0.0000 (0.0000) Acc@1: 65.8333 (65.8333)Acc@5: 86.6667 (86.6667) + +2023-08-10 14:19:31,576 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.321) Loss: 1.9523 (1.4615) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (66.2069)Acc@5: 76.6667 (84.7126) + +2023-08-10 14:19:33,373 - train: [ INFO] - Train: 105 [ 0/65 ( 0%)] Loss: 0.008160 (0.0082) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.523s, 78.77/s LR: 4.287e-04 P_Replacement: 0.0 + +2023-08-10 14:20:08,673 - train: [ INFO] - Train: 105 [ 50/65 ( 78%)] Loss: 0.007608 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.21/s LR: 4.287e-04 P_Replacement: 0.0 + +2023-08-10 14:20:18,595 - train: [ INFO] - Train: 105 [ 64/65 (100%)] Loss: 0.008088 (0.0083) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.87/s LR: 4.287e-04 P_Replacement: 0.0 + +2023-08-10 14:20:19,663 - train: [ INFO] - Test: [ 0/7] Time: 0.933 (0.933) Loss: 1.0679 (1.0679) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 88.3333 (88.3333) + +2023-08-10 14:20:21,364 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.329) Loss: 1.3333 (1.3500) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (68.1609)Acc@5: 80.0000 (85.1724) + +2023-08-10 14:20:23,229 - train: [ INFO] - Train: 106 [ 0/65 ( 0%)] Loss: 0.007526 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.574s, 76.23/s LR: 4.260e-04 P_Replacement: 0.0 + +2023-08-10 14:20:58,618 - train: [ INFO] - Train: 106 [ 50/65 ( 78%)] Loss: 0.007360 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.58/s LR: 4.260e-04 P_Replacement: 0.0 + +2023-08-10 14:21:08,454 - train: [ INFO] - Train: 106 [ 64/65 (100%)] Loss: 0.010090 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.68/s LR: 4.260e-04 P_Replacement: 0.0 + +2023-08-10 14:21:09,500 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 1.4522 (1.4522) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 85.8333 (85.8333) + +2023-08-10 14:21:11,174 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.325) Loss: 0.9734 (1.4094) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (66.0920)Acc@5: 93.3333 (85.9770) + +2023-08-10 14:21:12,988 - train: [ INFO] - Train: 107 [ 0/65 ( 0%)] Loss: 0.007628 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.568s, 76.54/s LR: 4.233e-04 P_Replacement: 0.0 + +2023-08-10 14:21:48,269 - train: [ INFO] - Train: 107 [ 50/65 ( 78%)] Loss: 0.007516 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 4.233e-04 P_Replacement: 0.0 + +2023-08-10 14:21:58,162 - train: [ INFO] - Train: 107 [ 64/65 (100%)] Loss: 0.007521 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.90/s LR: 4.233e-04 P_Replacement: 0.0 + +2023-08-10 14:21:59,242 - train: [ INFO] - Test: [ 0/7] Time: 0.949 (0.949) Loss: 1.5357 (1.5357) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 84.1667 (84.1667) + +2023-08-10 14:22:00,945 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.332) Loss: 1.8318 (1.4559) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (66.6667)Acc@5: 80.0000 (85.9770) + +2023-08-10 14:22:02,733 - train: [ INFO] - Train: 108 [ 0/65 ( 0%)] Loss: 0.007470 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.550s, 77.42/s LR: 4.206e-04 P_Replacement: 0.0 + +2023-08-10 14:22:37,933 - train: [ INFO] - Train: 108 [ 50/65 ( 78%)] Loss: 0.007335 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.54/s LR: 4.206e-04 P_Replacement: 0.0 + +2023-08-10 14:22:47,835 - train: [ INFO] - Train: 108 [ 64/65 (100%)] Loss: 0.008218 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.20/s LR: 4.206e-04 P_Replacement: 0.0 + +2023-08-10 14:22:48,875 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 1.1274 (1.1274) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 90.0000 (90.0000) + +2023-08-10 14:22:50,468 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.315) Loss: 1.0390 (1.2446) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (69.0805)Acc@5: 90.0000 (88.0460) + +2023-08-10 14:22:50,707 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-108.pth.tar', 69.0804627517174) + +2023-08-10 14:22:52,217 - train: [ INFO] - Train: 109 [ 0/65 ( 0%)] Loss: 0.007877 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.21/s LR: 4.178e-04 P_Replacement: 0.0 + +2023-08-10 14:23:27,668 - train: [ INFO] - Train: 109 [ 50/65 ( 78%)] Loss: 0.007403 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.65/s LR: 4.178e-04 P_Replacement: 0.0 + +2023-08-10 14:23:37,653 - train: [ INFO] - Train: 109 [ 64/65 (100%)] Loss: 0.007189 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.20/s LR: 4.178e-04 P_Replacement: 0.0 + +2023-08-10 14:23:38,755 - train: [ INFO] - Test: [ 0/7] Time: 0.955 (0.955) Loss: 1.4254 (1.4254) cLoss: 0.0000 (0.0000) Acc@1: 60.8333 (60.8333)Acc@5: 85.0000 (85.0000) + +2023-08-10 14:23:40,428 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.328) Loss: 2.1177 (1.3369) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (68.8506)Acc@5: 73.3333 (86.0920) + +2023-08-10 14:23:42,272 - train: [ INFO] - Train: 110 [ 0/65 ( 0%)] Loss: 0.007279 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.577s, 76.09/s LR: 4.151e-04 P_Replacement: 0.0 + +2023-08-10 14:24:17,603 - train: [ INFO] - Train: 110 [ 50/65 ( 78%)] Loss: 0.007235 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.82/s LR: 4.151e-04 P_Replacement: 0.0 + +2023-08-10 14:24:27,528 - train: [ INFO] - Train: 110 [ 64/65 (100%)] Loss: 0.009296 (0.0079) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.56/s LR: 4.151e-04 P_Replacement: 0.0 + +2023-08-10 14:24:28,585 - train: [ INFO] - Test: [ 0/7] Time: 0.945 (0.945) Loss: 1.6864 (1.6864) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 83.3333 (83.3333) + +2023-08-10 14:24:30,218 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.322) Loss: 1.2149 (1.4759) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (66.5517)Acc@5: 86.6667 (85.5172) + +2023-08-10 14:24:32,097 - train: [ INFO] - Train: 111 [ 0/65 ( 0%)] Loss: 0.011091 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.593s, 75.32/s LR: 4.123e-04 P_Replacement: 0.0 + +2023-08-10 14:25:07,407 - train: [ INFO] - Train: 111 [ 50/65 ( 78%)] Loss: 0.009425 (0.0086) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.85/s LR: 4.123e-04 P_Replacement: 0.0 + +2023-08-10 14:25:17,232 - train: [ INFO] - Train: 111 [ 64/65 (100%)] Loss: 0.007584 (0.0085) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.93/s LR: 4.123e-04 P_Replacement: 0.0 + +2023-08-10 14:25:18,288 - train: [ INFO] - Test: [ 0/7] Time: 0.918 (0.918) Loss: 1.2536 (1.2536) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 87.5000 (87.5000) + +2023-08-10 14:25:20,020 - train: [ INFO] - Test: [ 7/7] Time: 0.073 (0.331) Loss: 1.9119 (1.4669) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (65.9770)Acc@5: 73.3333 (84.4828) + +2023-08-10 14:25:21,918 - train: [ INFO] - Train: 112 [ 0/65 ( 0%)] Loss: 0.007521 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.605s, 74.78/s LR: 4.096e-04 P_Replacement: 0.0 + +2023-08-10 14:25:57,177 - train: [ INFO] - Train: 112 [ 50/65 ( 78%)] Loss: 0.007501 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 4.096e-04 P_Replacement: 0.0 + +2023-08-10 14:26:07,080 - train: [ INFO] - Train: 112 [ 64/65 (100%)] Loss: 0.007223 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.81/s LR: 4.096e-04 P_Replacement: 0.0 + +2023-08-10 14:26:08,146 - train: [ INFO] - Test: [ 0/7] Time: 0.954 (0.954) Loss: 1.2601 (1.2601) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 85.8333 (85.8333) + +2023-08-10 14:26:09,892 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.338) Loss: 2.2946 (1.3378) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (67.7012)Acc@5: 80.0000 (86.5517) + +2023-08-10 14:26:11,741 - train: [ INFO] - Train: 113 [ 0/65 ( 0%)] Loss: 0.007749 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.567s, 76.60/s LR: 4.068e-04 P_Replacement: 0.0 + +2023-08-10 14:26:47,035 - train: [ INFO] - Train: 113 [ 50/65 ( 78%)] Loss: 0.007157 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 4.068e-04 P_Replacement: 0.0 + +2023-08-10 14:26:56,896 - train: [ INFO] - Train: 113 [ 64/65 (100%)] Loss: 0.006811 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.96/s LR: 4.068e-04 P_Replacement: 0.0 + +2023-08-10 14:26:57,965 - train: [ INFO] - Test: [ 0/7] Time: 0.956 (0.956) Loss: 1.2970 (1.2970) cLoss: 0.0000 (0.0000) Acc@1: 65.8333 (65.8333)Acc@5: 90.0000 (90.0000) + +2023-08-10 14:26:59,569 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.320) Loss: 1.6864 (1.3674) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (67.2414)Acc@5: 86.6667 (86.0920) + +2023-08-10 14:27:01,377 - train: [ INFO] - Train: 114 [ 0/65 ( 0%)] Loss: 0.007203 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.560s, 76.93/s LR: 4.040e-04 P_Replacement: 0.0 + +2023-08-10 14:27:36,728 - train: [ INFO] - Train: 114 [ 50/65 ( 78%)] Loss: 0.007086 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.81/s LR: 4.040e-04 P_Replacement: 0.0 + +2023-08-10 14:27:46,621 - train: [ INFO] - Train: 114 [ 64/65 (100%)] Loss: 0.007224 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.66/s LR: 4.040e-04 P_Replacement: 0.0 + +2023-08-10 14:27:47,656 - train: [ INFO] - Test: [ 0/7] Time: 0.902 (0.902) Loss: 1.2589 (1.2589) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 85.0000 (85.0000) + +2023-08-10 14:27:49,333 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.322) Loss: 1.1043 (1.3339) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (67.3563)Acc@5: 90.0000 (86.6667) + +2023-08-10 14:27:51,229 - train: [ INFO] - Train: 115 [ 0/65 ( 0%)] Loss: 0.007189 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.600s, 75.00/s LR: 4.012e-04 P_Replacement: 0.0 + +2023-08-10 14:28:26,632 - train: [ INFO] - Train: 115 [ 50/65 ( 78%)] Loss: 0.006760 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.41/s LR: 4.012e-04 P_Replacement: 0.0 + +2023-08-10 14:28:36,493 - train: [ INFO] - Train: 115 [ 64/65 (100%)] Loss: 0.006981 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.45/s LR: 4.012e-04 P_Replacement: 0.0 + +2023-08-10 14:28:37,537 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 0.9390 (0.9390) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 93.3333 (93.3333) + +2023-08-10 14:28:39,136 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.318) Loss: 1.3709 (1.3812) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (67.5862)Acc@5: 86.6667 (87.0115) + +2023-08-10 14:28:40,963 - train: [ INFO] - Train: 116 [ 0/65 ( 0%)] Loss: 0.006861 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.530s, 78.43/s LR: 3.983e-04 P_Replacement: 0.0 + +2023-08-10 14:29:16,380 - train: [ INFO] - Train: 116 [ 50/65 ( 78%)] Loss: 0.007129 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.65/s LR: 3.983e-04 P_Replacement: 0.0 + +2023-08-10 14:29:26,200 - train: [ INFO] - Train: 116 [ 64/65 (100%)] Loss: 0.007011 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.80/s LR: 3.983e-04 P_Replacement: 0.0 + +2023-08-10 14:29:27,251 - train: [ INFO] - Test: [ 0/7] Time: 0.912 (0.912) Loss: 1.2720 (1.2720) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 88.3333 (88.3333) + +2023-08-10 14:29:28,980 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.330) Loss: 1.2079 (1.3050) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (70.2299)Acc@5: 86.6667 (86.8966) + +2023-08-10 14:29:29,252 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-116.pth.tar', 70.22988838985049) + +2023-08-10 14:29:30,814 - train: [ INFO] - Train: 117 [ 0/65 ( 0%)] Loss: 0.007082 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.547s, 77.55/s LR: 3.955e-04 P_Replacement: 0.0 + +2023-08-10 14:30:06,231 - train: [ INFO] - Train: 117 [ 50/65 ( 78%)] Loss: 0.007001 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.58/s LR: 3.955e-04 P_Replacement: 0.0 + +2023-08-10 14:30:16,092 - train: [ INFO] - Train: 117 [ 64/65 (100%)] Loss: 0.007896 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.59/s LR: 3.955e-04 P_Replacement: 0.0 + +2023-08-10 14:30:17,166 - train: [ INFO] - Test: [ 0/7] Time: 0.932 (0.932) Loss: 1.2594 (1.2594) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 87.5000 (87.5000) + +2023-08-10 14:30:18,910 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.335) Loss: 1.1521 (1.3339) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (68.1609)Acc@5: 90.0000 (86.3218) + +2023-08-10 14:30:20,718 - train: [ INFO] - Train: 118 [ 0/65 ( 0%)] Loss: 0.006714 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.567s, 76.56/s LR: 3.927e-04 P_Replacement: 0.0 + +2023-08-10 14:30:56,089 - train: [ INFO] - Train: 118 [ 50/65 ( 78%)] Loss: 0.006762 (0.0070) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.69/s LR: 3.927e-04 P_Replacement: 0.0 + +2023-08-10 14:31:05,940 - train: [ INFO] - Train: 118 [ 64/65 (100%)] Loss: 0.007307 (0.0069) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.71/s LR: 3.927e-04 P_Replacement: 0.0 + +2023-08-10 14:31:06,994 - train: [ INFO] - Test: [ 0/7] Time: 0.922 (0.922) Loss: 1.4704 (1.4704) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 81.6667 (81.6667) + +2023-08-10 14:31:08,678 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.326) Loss: 2.0141 (1.3387) cLoss: 0.0000 (0.0000) Acc@1: 36.6667 (67.7012)Acc@5: 70.0000 (85.2874) + +2023-08-10 14:31:10,485 - train: [ INFO] - Train: 119 [ 0/65 ( 0%)] Loss: 0.009942 (0.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.548s, 77.51/s LR: 3.898e-04 P_Replacement: 0.0 + +2023-08-10 14:31:45,759 - train: [ INFO] - Train: 119 [ 50/65 ( 78%)] Loss: 0.006910 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.21/s LR: 3.898e-04 P_Replacement: 0.0 + +2023-08-10 14:31:55,608 - train: [ INFO] - Train: 119 [ 64/65 (100%)] Loss: 0.006188 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.13/s LR: 3.898e-04 P_Replacement: 0.0 + +2023-08-10 14:31:56,689 - train: [ INFO] - Test: [ 0/7] Time: 0.939 (0.939) Loss: 1.6111 (1.6111) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 85.0000 (85.0000) + +2023-08-10 14:31:58,361 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.326) Loss: 1.4509 (1.3454) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (68.7356)Acc@5: 80.0000 (85.8621) + +2023-08-10 14:32:00,152 - train: [ INFO] - Train: 120 [ 0/65 ( 0%)] Loss: 0.006744 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.524s, 78.74/s LR: 3.870e-04 P_Replacement: 0.0 + +2023-08-10 14:32:35,422 - train: [ INFO] - Train: 120 [ 50/65 ( 78%)] Loss: 0.006678 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 3.870e-04 P_Replacement: 0.0 + +2023-08-10 14:32:45,325 - train: [ INFO] - Train: 120 [ 64/65 (100%)] Loss: 0.006363 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.06/s LR: 3.870e-04 P_Replacement: 0.0 + +2023-08-10 14:32:46,384 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 1.5618 (1.5618) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 82.5000 (82.5000) + +2023-08-10 14:32:47,948 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.311) Loss: 1.2805 (1.4227) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (67.2414)Acc@5: 90.0000 (84.9425) + +2023-08-10 14:32:49,741 - train: [ INFO] - Train: 121 [ 0/65 ( 0%)] Loss: 0.006563 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.548s, 77.51/s LR: 3.841e-04 P_Replacement: 0.0 + +2023-08-10 14:33:25,010 - train: [ INFO] - Train: 121 [ 50/65 ( 78%)] Loss: 0.007550 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.24/s LR: 3.841e-04 P_Replacement: 0.0 + +2023-08-10 14:33:34,867 - train: [ INFO] - Train: 121 [ 64/65 (100%)] Loss: 0.006833 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.13/s LR: 3.841e-04 P_Replacement: 0.0 + +2023-08-10 14:33:35,921 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 1.1746 (1.1746) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 90.0000 (90.0000) + +2023-08-10 14:33:37,557 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.319) Loss: 1.9621 (1.3192) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (68.8506)Acc@5: 80.0000 (86.7816) + +2023-08-10 14:33:39,469 - train: [ INFO] - Train: 122 [ 0/65 ( 0%)] Loss: 0.006473 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.622s, 73.99/s LR: 3.812e-04 P_Replacement: 0.0 + +2023-08-10 14:34:14,742 - train: [ INFO] - Train: 122 [ 50/65 ( 78%)] Loss: 0.006733 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.89/s LR: 3.812e-04 P_Replacement: 0.0 + +2023-08-10 14:34:24,667 - train: [ INFO] - Train: 122 [ 64/65 (100%)] Loss: 0.006500 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.61/s LR: 3.812e-04 P_Replacement: 0.0 + +2023-08-10 14:34:25,818 - train: [ INFO] - Test: [ 0/7] Time: 0.948 (0.948) Loss: 1.4761 (1.4761) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 84.1667 (84.1667) + +2023-08-10 14:34:27,466 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.325) Loss: 1.9419 (1.4214) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.7816)Acc@5: 80.0000 (85.1724) + +2023-08-10 14:34:29,399 - train: [ INFO] - Train: 123 [ 0/65 ( 0%)] Loss: 0.006503 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.634s, 73.44/s LR: 3.783e-04 P_Replacement: 0.0 + +2023-08-10 14:35:04,752 - train: [ INFO] - Train: 123 [ 50/65 ( 78%)] Loss: 0.006144 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.48/s LR: 3.783e-04 P_Replacement: 0.0 + +2023-08-10 14:35:14,640 - train: [ INFO] - Train: 123 [ 64/65 (100%)] Loss: 0.006334 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.41/s LR: 3.783e-04 P_Replacement: 0.0 + +2023-08-10 14:35:15,695 - train: [ INFO] - Test: [ 0/7] Time: 0.927 (0.927) Loss: 1.5217 (1.5217) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 82.5000 (82.5000) + +2023-08-10 14:35:17,324 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.319) Loss: 1.1158 (1.4390) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (66.7816)Acc@5: 86.6667 (85.9770) + +2023-08-10 14:35:19,116 - train: [ INFO] - Train: 124 [ 0/65 ( 0%)] Loss: 0.006460 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.519s, 79.00/s LR: 3.754e-04 P_Replacement: 0.0 + +2023-08-10 14:35:54,458 - train: [ INFO] - Train: 124 [ 50/65 ( 78%)] Loss: 0.006180 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 3.754e-04 P_Replacement: 0.0 + +2023-08-10 14:36:04,322 - train: [ INFO] - Train: 124 [ 64/65 (100%)] Loss: 0.006206 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.95/s LR: 3.754e-04 P_Replacement: 0.0 + +2023-08-10 14:36:05,393 - train: [ INFO] - Test: [ 0/7] Time: 0.942 (0.942) Loss: 1.4309 (1.4309) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 82.5000 (82.5000) + +2023-08-10 14:36:07,096 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.330) Loss: 1.4292 (1.3616) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (68.5057)Acc@5: 83.3333 (85.6322) + +2023-08-10 14:36:08,913 - train: [ INFO] - Train: 125 [ 0/65 ( 0%)] Loss: 0.006078 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.553s, 77.27/s LR: 3.725e-04 P_Replacement: 0.0 + +2023-08-10 14:36:44,226 - train: [ INFO] - Train: 125 [ 50/65 ( 78%)] Loss: 0.006294 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.02/s LR: 3.725e-04 P_Replacement: 0.0 + +2023-08-10 14:36:54,155 - train: [ INFO] - Train: 125 [ 64/65 (100%)] Loss: 0.006550 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.70/s LR: 3.725e-04 P_Replacement: 0.0 + +2023-08-10 14:36:55,225 - train: [ INFO] - Test: [ 0/7] Time: 0.944 (0.944) Loss: 1.3651 (1.3651) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 85.8333 (85.8333) + +2023-08-10 14:36:56,896 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.327) Loss: 1.0158 (1.3326) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (68.9655)Acc@5: 93.3333 (85.0575) + +2023-08-10 14:36:58,703 - train: [ INFO] - Train: 126 [ 0/65 ( 0%)] Loss: 0.006695 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.561s, 76.90/s LR: 3.696e-04 P_Replacement: 0.0 + +2023-08-10 14:37:34,183 - train: [ INFO] - Train: 126 [ 50/65 ( 78%)] Loss: 0.006504 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.23/s LR: 3.696e-04 P_Replacement: 0.0 + +2023-08-10 14:37:44,070 - train: [ INFO] - Train: 126 [ 64/65 (100%)] Loss: 0.006863 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.23/s LR: 3.696e-04 P_Replacement: 0.0 + +2023-08-10 14:37:45,128 - train: [ INFO] - Test: [ 0/7] Time: 0.921 (0.921) Loss: 1.1237 (1.1237) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 88.3333 (88.3333) + +2023-08-10 14:37:46,742 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.317) Loss: 0.9686 (1.2905) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (70.0000)Acc@5: 90.0000 (85.9770) + +2023-08-10 14:37:48,545 - train: [ INFO] - Train: 127 [ 0/65 ( 0%)] Loss: 0.006022 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.514s, 79.24/s LR: 3.667e-04 P_Replacement: 0.0 + +2023-08-10 14:38:24,022 - train: [ INFO] - Train: 127 [ 50/65 ( 78%)] Loss: 0.006454 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.46/s LR: 3.667e-04 P_Replacement: 0.0 + +2023-08-10 14:38:33,919 - train: [ INFO] - Train: 127 [ 64/65 (100%)] Loss: 0.006183 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 3.667e-04 P_Replacement: 0.0 + +2023-08-10 14:38:34,975 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 1.4295 (1.4295) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 84.1667 (84.1667) + +2023-08-10 14:38:36,628 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.322) Loss: 1.2642 (1.3101) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (68.2759)Acc@5: 83.3333 (86.0920) + +2023-08-10 14:38:38,500 - train: [ INFO] - Train: 128 [ 0/65 ( 0%)] Loss: 0.005931 (0.0059) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.566s, 76.61/s LR: 3.637e-04 P_Replacement: 0.0 + +2023-08-10 14:39:14,010 - train: [ INFO] - Train: 128 [ 50/65 ( 78%)] Loss: 0.005822 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.07/s LR: 3.637e-04 P_Replacement: 0.0 + +2023-08-10 14:39:23,941 - train: [ INFO] - Train: 128 [ 64/65 (100%)] Loss: 0.006860 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 3.637e-04 P_Replacement: 0.0 + +2023-08-10 14:39:24,944 - train: [ INFO] - Test: [ 0/7] Time: 0.905 (0.905) Loss: 1.5179 (1.5179) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 85.8333 (85.8333) + +2023-08-10 14:39:26,595 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.319) Loss: 1.3689 (1.3862) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (67.0115)Acc@5: 93.3333 (87.2414) + +2023-08-10 14:39:28,455 - train: [ INFO] - Train: 129 [ 0/65 ( 0%)] Loss: 0.006223 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.567s, 76.58/s LR: 3.608e-04 P_Replacement: 0.0 + +2023-08-10 14:40:03,815 - train: [ INFO] - Train: 129 [ 50/65 ( 78%)] Loss: 0.006863 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.74/s LR: 3.608e-04 P_Replacement: 0.0 + +2023-08-10 14:40:13,723 - train: [ INFO] - Train: 129 [ 64/65 (100%)] Loss: 0.005880 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.55/s LR: 3.608e-04 P_Replacement: 0.0 + +2023-08-10 14:40:14,767 - train: [ INFO] - Test: [ 0/7] Time: 0.944 (0.944) Loss: 1.4767 (1.4767) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 84.1667 (84.1667) + +2023-08-10 14:40:16,380 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.320) Loss: 2.0238 (1.3314) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (67.9310)Acc@5: 86.6667 (86.8966) + +2023-08-10 14:40:18,251 - train: [ INFO] - Train: 130 [ 0/65 ( 0%)] Loss: 0.006139 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.596s, 75.21/s LR: 3.578e-04 P_Replacement: 0.0 + +2023-08-10 14:40:53,686 - train: [ INFO] - Train: 130 [ 50/65 ( 78%)] Loss: 0.006019 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.28/s LR: 3.578e-04 P_Replacement: 0.0 + +2023-08-10 14:41:03,654 - train: [ INFO] - Train: 130 [ 64/65 (100%)] Loss: 0.005915 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.97/s LR: 3.578e-04 P_Replacement: 0.0 + +2023-08-10 14:41:04,761 - train: [ INFO] - Test: [ 0/7] Time: 0.987 (0.987) Loss: 1.4355 (1.4355) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 90.0000 (90.0000) + +2023-08-10 14:41:06,427 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.332) Loss: 0.4929 (1.2955) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (69.4253)Acc@5: 100.0000 (87.3563) + +2023-08-10 14:41:08,304 - train: [ INFO] - Train: 131 [ 0/65 ( 0%)] Loss: 0.006065 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.583s, 75.78/s LR: 3.549e-04 P_Replacement: 0.0 + +2023-08-10 14:41:43,680 - train: [ INFO] - Train: 131 [ 50/65 ( 78%)] Loss: 0.005551 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.60/s LR: 3.549e-04 P_Replacement: 0.0 + +2023-08-10 14:41:53,542 - train: [ INFO] - Train: 131 [ 64/65 (100%)] Loss: 0.005696 (0.0059) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.60/s LR: 3.549e-04 P_Replacement: 0.0 + +2023-08-10 14:41:54,560 - train: [ INFO] - Test: [ 0/7] Time: 0.885 (0.885) Loss: 1.3950 (1.3950) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 85.0000 (85.0000) + +2023-08-10 14:41:56,185 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.314) Loss: 1.9527 (1.3615) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (68.1609)Acc@5: 80.0000 (86.2069) + +2023-08-10 14:41:58,130 - train: [ INFO] - Train: 132 [ 0/65 ( 0%)] Loss: 0.006020 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.635s, 73.38/s LR: 3.519e-04 P_Replacement: 0.0 + +2023-08-10 14:42:33,429 - train: [ INFO] - Train: 132 [ 50/65 ( 78%)] Loss: 0.005721 (0.0057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.71/s LR: 3.519e-04 P_Replacement: 0.0 + +2023-08-10 14:42:43,323 - train: [ INFO] - Train: 132 [ 64/65 (100%)] Loss: 0.005571 (0.0057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.58/s LR: 3.519e-04 P_Replacement: 0.0 + +2023-08-10 14:42:44,443 - train: [ INFO] - Test: [ 0/7] Time: 0.999 (0.999) Loss: 1.2813 (1.2813) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 86.6667 (86.6667) + +2023-08-10 14:42:46,078 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.329) Loss: 1.3218 (1.3968) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (67.5862)Acc@5: 86.6667 (85.7471) + +2023-08-10 14:42:47,907 - train: [ INFO] - Train: 133 [ 0/65 ( 0%)] Loss: 0.005807 (0.0058) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.545s, 77.69/s LR: 3.490e-04 P_Replacement: 0.0 + +2023-08-10 14:43:23,231 - train: [ INFO] - Train: 133 [ 50/65 ( 78%)] Loss: 0.005547 (0.0057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 3.490e-04 P_Replacement: 0.0 + +2023-08-10 14:43:33,136 - train: [ INFO] - Train: 133 [ 64/65 (100%)] Loss: 0.005813 (0.0058) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.81/s LR: 3.490e-04 P_Replacement: 0.0 + +2023-08-10 14:43:34,199 - train: [ INFO] - Test: [ 0/7] Time: 0.957 (0.957) Loss: 1.0548 (1.0548) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 90.0000 (90.0000) + +2023-08-10 14:43:35,793 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.319) Loss: 1.8004 (1.3028) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (68.9655)Acc@5: 80.0000 (86.6667) + +2023-08-10 14:43:37,728 - train: [ INFO] - Train: 134 [ 0/65 ( 0%)] Loss: 0.005900 (0.0059) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.647s, 72.86/s LR: 3.460e-04 P_Replacement: 0.0 + +2023-08-10 14:44:12,986 - train: [ INFO] - Train: 134 [ 50/65 ( 78%)] Loss: 0.006020 (0.0060) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.84/s LR: 3.460e-04 P_Replacement: 0.0 + +2023-08-10 14:44:22,881 - train: [ INFO] - Train: 134 [ 64/65 (100%)] Loss: 0.005675 (0.0061) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.68/s LR: 3.460e-04 P_Replacement: 0.0 + +2023-08-10 14:44:23,910 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 1.8232 (1.8232) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 80.0000 (80.0000) + +2023-08-10 14:44:25,534 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.316) Loss: 1.0496 (1.3221) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (69.5402)Acc@5: 86.6667 (85.1724) + +2023-08-10 14:44:27,389 - train: [ INFO] - Train: 135 [ 0/65 ( 0%)] Loss: 0.005718 (0.0057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.531s, 78.36/s LR: 3.430e-04 P_Replacement: 0.0 + +2023-08-10 14:45:02,692 - train: [ INFO] - Train: 135 [ 50/65 ( 78%)] Loss: 0.005785 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.18/s LR: 3.430e-04 P_Replacement: 0.0 + +2023-08-10 14:45:12,548 - train: [ INFO] - Train: 135 [ 64/65 (100%)] Loss: 0.005852 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.08/s LR: 3.430e-04 P_Replacement: 0.0 + +2023-08-10 14:45:13,635 - train: [ INFO] - Test: [ 0/7] Time: 0.954 (0.954) Loss: 1.7026 (1.7026) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 76.6667 (76.6667) + +2023-08-10 14:45:15,307 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.328) Loss: 1.3655 (1.4420) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (67.5862)Acc@5: 93.3333 (84.8276) + +2023-08-10 14:45:17,232 - train: [ INFO] - Train: 136 [ 0/65 ( 0%)] Loss: 0.006304 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.618s, 74.18/s LR: 3.400e-04 P_Replacement: 0.0 + +2023-08-10 14:45:52,558 - train: [ INFO] - Train: 136 [ 50/65 ( 78%)] Loss: 0.005661 (0.0057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.68/s LR: 3.400e-04 P_Replacement: 0.0 + +2023-08-10 14:46:02,471 - train: [ INFO] - Train: 136 [ 64/65 (100%)] Loss: 0.005645 (0.0057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.49/s LR: 3.400e-04 P_Replacement: 0.0 + +2023-08-10 14:46:03,614 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.9455 (0.9455) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 90.8333 (90.8333) + +2023-08-10 14:46:05,295 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.327) Loss: 1.0009 (1.2176) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (71.0345)Acc@5: 86.6667 (87.0115) + +2023-08-10 14:46:05,565 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-136.pth.tar', 71.03448723102439) + +2023-08-10 14:46:07,095 - train: [ INFO] - Train: 137 [ 0/65 ( 0%)] Loss: 0.005691 (0.0057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.515s, 79.18/s LR: 3.371e-04 P_Replacement: 0.0 + +2023-08-10 14:46:42,327 - train: [ INFO] - Train: 137 [ 50/65 ( 78%)] Loss: 0.005440 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.55/s LR: 3.371e-04 P_Replacement: 0.0 + +2023-08-10 14:46:52,222 - train: [ INFO] - Train: 137 [ 64/65 (100%)] Loss: 0.005596 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.24/s LR: 3.371e-04 P_Replacement: 0.0 + +2023-08-10 14:46:53,339 - train: [ INFO] - Test: [ 0/7] Time: 0.956 (0.956) Loss: 1.2809 (1.2809) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 89.1667 (89.1667) + +2023-08-10 14:46:54,913 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.316) Loss: 1.2977 (1.3187) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (69.3103)Acc@5: 86.6667 (86.2069) + +2023-08-10 14:46:56,823 - train: [ INFO] - Train: 138 [ 0/65 ( 0%)] Loss: 0.005499 (0.0055) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.628s, 73.70/s LR: 3.341e-04 P_Replacement: 0.0 + +2023-08-10 14:47:32,254 - train: [ INFO] - Train: 138 [ 50/65 ( 78%)] Loss: 0.005120 (0.0054) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.15/s LR: 3.341e-04 P_Replacement: 0.0 + +2023-08-10 14:47:42,174 - train: [ INFO] - Train: 138 [ 64/65 (100%)] Loss: 0.006240 (0.0055) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 3.341e-04 P_Replacement: 0.0 + +2023-08-10 14:47:43,247 - train: [ INFO] - Test: [ 0/7] Time: 0.935 (0.935) Loss: 1.1129 (1.1129) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 87.5000 (87.5000) + +2023-08-10 14:47:44,885 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.322) Loss: 0.9503 (1.3213) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (68.5057)Acc@5: 96.6667 (86.5517) + +2023-08-10 14:47:46,694 - train: [ INFO] - Train: 139 [ 0/65 ( 0%)] Loss: 0.005570 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.542s, 77.80/s LR: 3.311e-04 P_Replacement: 0.0 + +2023-08-10 14:48:22,080 - train: [ INFO] - Train: 139 [ 50/65 ( 78%)] Loss: 0.007491 (0.0075) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.74/s LR: 3.311e-04 P_Replacement: 0.0 + +2023-08-10 14:48:31,976 - train: [ INFO] - Train: 139 [ 64/65 (100%)] Loss: 0.008544 (0.0081) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (99.9872) Time: 0.720s, 166.59/s LR: 3.311e-04 P_Replacement: 0.0 + +2023-08-10 14:48:33,084 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 1.3230 (1.3230) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 83.3333 (83.3333) + +2023-08-10 14:48:34,754 - train: [ INFO] - Test: [ 7/7] Time: 0.081 (0.326) Loss: 1.7641 (1.5190) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (66.3218)Acc@5: 83.3333 (84.5977) + +2023-08-10 14:48:36,589 - train: [ INFO] - Train: 140 [ 0/65 ( 0%)] Loss: 0.012913 (0.0129) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.545s, 77.69/s LR: 3.281e-04 P_Replacement: 0.0 + +2023-08-10 14:49:11,862 - train: [ INFO] - Train: 140 [ 50/65 ( 78%)] Loss: 0.145320 (0.0358) Acc@1: 95.0000 (99.4771) Acc@5: 100.0000 (99.9837) Time: 0.722s, 166.23/s LR: 3.281e-04 P_Replacement: 0.0 + +2023-08-10 14:49:21,790 - train: [ INFO] - Train: 140 [ 64/65 (100%)] Loss: 0.441088 (0.1009) Acc@1: 89.1667 (97.9359) Acc@5: 98.3333 (99.8590) Time: 0.719s, 166.87/s LR: 3.281e-04 P_Replacement: 0.0 + +2023-08-10 14:49:22,872 - train: [ INFO] - Test: [ 0/7] Time: 0.955 (0.955) Loss: 1.9069 (1.9069) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (56.6667)Acc@5: 76.6667 (76.6667) + +2023-08-10 14:49:24,567 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.331) Loss: 1.7523 (2.1466) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (52.4138)Acc@5: 83.3333 (75.9770) + +2023-08-10 14:49:26,465 - train: [ INFO] - Train: 141 [ 0/65 ( 0%)] Loss: 0.390557 (0.3906) Acc@1: 92.5000 (92.5000) Acc@5: 100.0000 (100.0000) Time: 1.608s, 74.61/s LR: 3.251e-04 P_Replacement: 0.0 + +2023-08-10 14:50:01,794 - train: [ INFO] - Train: 141 [ 50/65 ( 78%)] Loss: 0.126977 (0.2663) Acc@1: 95.0000 (93.5458) Acc@5: 99.1667 (99.2157) Time: 0.724s, 165.69/s LR: 3.251e-04 P_Replacement: 0.0 + +2023-08-10 14:50:11,675 - train: [ INFO] - Train: 141 [ 64/65 (100%)] Loss: 0.102758 (0.2326) Acc@1: 98.3333 (94.5256) Acc@5: 99.1667 (99.3462) Time: 0.720s, 166.61/s LR: 3.251e-04 P_Replacement: 0.0 + +2023-08-10 14:50:12,822 - train: [ INFO] - Test: [ 0/7] Time: 0.998 (0.998) Loss: 1.4582 (1.4582) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 84.1667 (84.1667) + +2023-08-10 14:50:14,477 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.332) Loss: 1.2311 (1.4870) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (65.5172)Acc@5: 86.6667 (84.0230) + +2023-08-10 14:50:16,413 - train: [ INFO] - Train: 142 [ 0/65 ( 0%)] Loss: 0.109796 (0.1098) Acc@1: 98.3333 (98.3333) Acc@5: 99.1667 (99.1667) Time: 1.659s, 72.33/s LR: 3.221e-04 P_Replacement: 0.0 + +2023-08-10 14:50:51,761 - train: [ INFO] - Train: 142 [ 50/65 ( 78%)] Loss: 0.033634 (0.0615) Acc@1: 100.0000 (98.9379) Acc@5: 100.0000 (99.9510) Time: 0.726s, 165.38/s LR: 3.221e-04 P_Replacement: 0.0 + +2023-08-10 14:51:01,645 - train: [ INFO] - Train: 142 [ 64/65 (100%)] Loss: 0.026335 (0.0558) Acc@1: 100.0000 (99.1282) Acc@5: 100.0000 (99.9615) Time: 0.721s, 166.35/s LR: 3.221e-04 P_Replacement: 0.0 + +2023-08-10 14:51:02,755 - train: [ INFO] - Test: [ 0/7] Time: 0.980 (0.980) Loss: 1.5563 (1.5563) cLoss: 0.0000 (0.0000) Acc@1: 62.5000 (62.5000)Acc@5: 87.5000 (87.5000) + +2023-08-10 14:51:04,447 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.334) Loss: 1.0092 (1.6042) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.7931)Acc@5: 96.6667 (85.4023) + +2023-08-10 14:51:06,359 - train: [ INFO] - Train: 143 [ 0/65 ( 0%)] Loss: 0.039803 (0.0398) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.637s, 73.31/s LR: 3.191e-04 P_Replacement: 0.0 + +2023-08-10 14:51:41,647 - train: [ INFO] - Train: 143 [ 50/65 ( 78%)] Loss: 0.022968 (0.0290) Acc@1: 100.0000 (99.7059) Acc@5: 100.0000 (99.9837) Time: 0.724s, 165.75/s LR: 3.191e-04 P_Replacement: 0.0 + +2023-08-10 14:51:51,585 - train: [ INFO] - Train: 143 [ 64/65 (100%)] Loss: 0.022016 (0.0274) Acc@1: 100.0000 (99.7564) Acc@5: 100.0000 (99.9872) Time: 0.721s, 166.45/s LR: 3.191e-04 P_Replacement: 0.0 + +2023-08-10 14:51:52,670 - train: [ INFO] - Test: [ 0/7] Time: 0.943 (0.943) Loss: 1.5061 (1.5061) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 85.0000 (85.0000) + +2023-08-10 14:51:54,244 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.315) Loss: 0.8588 (1.2715) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (69.7701)Acc@5: 100.0000 (87.5862) + +2023-08-10 14:51:56,086 - train: [ INFO] - Train: 144 [ 0/65 ( 0%)] Loss: 0.021627 (0.0216) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.547s, 77.56/s LR: 3.161e-04 P_Replacement: 0.0 + +2023-08-10 14:52:31,447 - train: [ INFO] - Train: 144 [ 50/65 ( 78%)] Loss: 0.021425 (0.0190) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.83/s LR: 3.161e-04 P_Replacement: 0.0 + +2023-08-10 14:52:41,388 - train: [ INFO] - Train: 144 [ 64/65 (100%)] Loss: 0.015297 (0.0187) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.51/s LR: 3.161e-04 P_Replacement: 0.0 + +2023-08-10 14:52:42,353 - train: [ INFO] - Test: [ 0/7] Time: 0.877 (0.877) Loss: 1.1855 (1.1855) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 86.6667 (86.6667) + +2023-08-10 14:52:43,958 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.310) Loss: 1.4551 (1.2952) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (68.6207)Acc@5: 86.6667 (87.1264) + +2023-08-10 14:52:45,760 - train: [ INFO] - Train: 145 [ 0/65 ( 0%)] Loss: 0.015653 (0.0157) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.537s, 78.08/s LR: 3.130e-04 P_Replacement: 0.0 + +2023-08-10 14:53:21,024 - train: [ INFO] - Train: 145 [ 50/65 ( 78%)] Loss: 0.014784 (0.0159) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.31/s LR: 3.130e-04 P_Replacement: 0.0 + +2023-08-10 14:53:30,936 - train: [ INFO] - Train: 145 [ 64/65 (100%)] Loss: 0.014559 (0.0157) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.99/s LR: 3.130e-04 P_Replacement: 0.0 + +2023-08-10 14:53:31,961 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 1.1703 (1.1703) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 86.6667 (86.6667) + +2023-08-10 14:53:33,625 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.319) Loss: 0.9675 (1.2720) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (69.3103)Acc@5: 96.6667 (88.3908) + +2023-08-10 14:53:35,438 - train: [ INFO] - Train: 146 [ 0/65 ( 0%)] Loss: 0.013225 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.543s, 77.78/s LR: 3.100e-04 P_Replacement: 0.0 + +2023-08-10 14:54:10,718 - train: [ INFO] - Train: 146 [ 50/65 ( 78%)] Loss: 0.014635 (0.0141) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.21/s LR: 3.100e-04 P_Replacement: 0.0 + +2023-08-10 14:54:20,608 - train: [ INFO] - Train: 146 [ 64/65 (100%)] Loss: 0.013508 (0.0141) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.99/s LR: 3.100e-04 P_Replacement: 0.0 + +2023-08-10 14:54:21,703 - train: [ INFO] - Test: [ 0/7] Time: 0.964 (0.964) Loss: 1.1346 (1.1346) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 90.0000 (90.0000) + +2023-08-10 14:54:23,476 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.342) Loss: 1.5401 (1.2504) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (69.8851)Acc@5: 83.3333 (88.5058) + +2023-08-10 14:54:25,275 - train: [ INFO] - Train: 147 [ 0/65 ( 0%)] Loss: 0.012421 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.522s, 78.86/s LR: 3.070e-04 P_Replacement: 0.0 + +2023-08-10 14:55:00,589 - train: [ INFO] - Train: 147 [ 50/65 ( 78%)] Loss: 0.013477 (0.0131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.15/s LR: 3.070e-04 P_Replacement: 0.0 + +2023-08-10 14:55:10,478 - train: [ INFO] - Train: 147 [ 64/65 (100%)] Loss: 0.012096 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.94/s LR: 3.070e-04 P_Replacement: 0.0 + +2023-08-10 14:55:11,546 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 1.3146 (1.3146) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 88.3333 (88.3333) + +2023-08-10 14:55:13,225 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.327) Loss: 0.7770 (1.2443) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (70.2299)Acc@5: 93.3333 (88.5058) + +2023-08-10 14:55:14,996 - train: [ INFO] - Train: 148 [ 0/65 ( 0%)] Loss: 0.012444 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.524s, 78.74/s LR: 3.040e-04 P_Replacement: 0.0 + +2023-08-10 14:55:50,260 - train: [ INFO] - Train: 148 [ 50/65 ( 78%)] Loss: 0.012474 (0.0117) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.37/s LR: 3.040e-04 P_Replacement: 0.0 + +2023-08-10 14:56:00,144 - train: [ INFO] - Train: 148 [ 64/65 (100%)] Loss: 0.010877 (0.0117) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.13/s LR: 3.040e-04 P_Replacement: 0.0 + +2023-08-10 14:56:01,140 - train: [ INFO] - Test: [ 0/7] Time: 0.894 (0.894) Loss: 1.1169 (1.1169) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 90.8333 (90.8333) + +2023-08-10 14:56:02,870 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.328) Loss: 1.3112 (1.2361) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (70.5747)Acc@5: 90.0000 (88.1609) + +2023-08-10 14:56:04,763 - train: [ INFO] - Train: 149 [ 0/65 ( 0%)] Loss: 0.012057 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.641s, 73.12/s LR: 3.010e-04 P_Replacement: 0.0 + +2023-08-10 14:56:40,073 - train: [ INFO] - Train: 149 [ 50/65 ( 78%)] Loss: 0.010927 (0.0112) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.64/s LR: 3.010e-04 P_Replacement: 0.0 + +2023-08-10 14:56:49,987 - train: [ INFO] - Train: 149 [ 64/65 (100%)] Loss: 0.010063 (0.0112) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.45/s LR: 3.010e-04 P_Replacement: 0.0 + +2023-08-10 14:56:51,074 - train: [ INFO] - Test: [ 0/7] Time: 0.946 (0.946) Loss: 1.0715 (1.0715) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 93.3333 (93.3333) + +2023-08-10 14:56:52,708 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.323) Loss: 0.8553 (1.2057) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (70.9195)Acc@5: 90.0000 (88.0460) + +2023-08-10 14:56:54,594 - train: [ INFO] - Train: 150 [ 0/65 ( 0%)] Loss: 0.010957 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.591s, 75.43/s LR: 2.980e-04 P_Replacement: 0.0 + +2023-08-10 14:57:29,895 - train: [ INFO] - Train: 150 [ 50/65 ( 78%)] Loss: 0.010897 (0.0108) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 2.980e-04 P_Replacement: 0.0 + +2023-08-10 14:57:39,817 - train: [ INFO] - Train: 150 [ 64/65 (100%)] Loss: 0.009784 (0.0107) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.63/s LR: 2.980e-04 P_Replacement: 0.0 + +2023-08-10 14:57:40,932 - train: [ INFO] - Test: [ 0/7] Time: 1.009 (1.009) Loss: 1.3840 (1.3840) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 84.1667 (84.1667) + +2023-08-10 14:57:42,616 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.337) Loss: 0.8212 (1.2569) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (71.1494)Acc@5: 96.6667 (87.7012) + +2023-08-10 14:57:42,911 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-150.pth.tar', 71.14942774279365) + +2023-08-10 14:57:44,477 - train: [ INFO] - Train: 151 [ 0/65 ( 0%)] Loss: 1.200689 (1.2007) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.550s, 77.42/s LR: 2.950e-04 P_Replacement: 1.0 + +2023-08-10 14:58:20,054 - train: [ INFO] - Train: 151 [ 50/65 ( 78%)] Loss: 0.612083 (0.7499) Acc@1: 97.5000 (95.4739) Acc@5: 99.1667 (99.7059) Time: 0.728s, 164.87/s LR: 2.950e-04 P_Replacement: 1.0 + +2023-08-10 14:58:30,009 - train: [ INFO] - Train: 151 [ 64/65 (100%)] Loss: 0.355565 (0.6913) Acc@1: 97.5000 (95.9359) Acc@5: 100.0000 (99.7436) Time: 0.724s, 165.70/s LR: 2.950e-04 P_Replacement: 1.0 + +2023-08-10 14:58:31,132 - train: [ INFO] - Test: [ 0/7] Time: 0.993 (0.993) Loss: 1.2232 (1.2232) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 88.3333 (88.3333) + +2023-08-10 14:58:32,840 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.338) Loss: 0.8029 (1.1620) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (72.0690)Acc@5: 93.3333 (88.9655) + +2023-08-10 14:58:33,107 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-151.pth.tar', 72.06896788498452) + +2023-08-10 14:58:34,741 - train: [ INFO] - Train: 152 [ 0/65 ( 0%)] Loss: 0.435727 (0.4357) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.617s, 74.21/s LR: 2.919e-04 P_Replacement: 1.0 + +2023-08-10 14:59:10,296 - train: [ INFO] - Train: 152 [ 50/65 ( 78%)] Loss: 0.317832 (0.3312) Acc@1: 96.6667 (98.6601) Acc@5: 99.1667 (99.9020) Time: 0.729s, 164.65/s LR: 2.919e-04 P_Replacement: 1.0 + +2023-08-10 14:59:20,235 - train: [ INFO] - Train: 152 [ 64/65 (100%)] Loss: 0.221810 (0.3061) Acc@1: 100.0000 (98.8077) Acc@5: 100.0000 (99.9231) Time: 0.725s, 165.58/s LR: 2.919e-04 P_Replacement: 1.0 + +2023-08-10 14:59:21,388 - train: [ INFO] - Test: [ 0/7] Time: 0.999 (0.999) Loss: 1.0009 (1.0009) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.8333 (90.8333) + +2023-08-10 14:59:23,079 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.336) Loss: 1.1281 (0.9114) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (77.0115)Acc@5: 90.0000 (92.4138) + +2023-08-10 14:59:23,318 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-152.pth.tar', 77.01149960221916) + +2023-08-10 14:59:24,877 - train: [ INFO] - Train: 153 [ 0/65 ( 0%)] Loss: 0.251051 (0.2511) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.542s, 77.82/s LR: 2.889e-04 P_Replacement: 1.0 + +2023-08-10 15:00:00,420 - train: [ INFO] - Train: 153 [ 50/65 ( 78%)] Loss: 0.129785 (0.1595) Acc@1: 99.1667 (99.6732) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.03/s LR: 2.889e-04 P_Replacement: 1.0 + +2023-08-10 15:00:10,440 - train: [ INFO] - Train: 153 [ 64/65 (100%)] Loss: 0.146988 (0.1489) Acc@1: 99.1667 (99.7180) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.59/s LR: 2.889e-04 P_Replacement: 1.0 + +2023-08-10 15:00:11,435 - train: [ INFO] - Test: [ 0/7] Time: 0.887 (0.887) Loss: 0.6471 (0.6471) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 95.0000 (95.0000) + +2023-08-10 15:00:13,010 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.308) Loss: 0.4719 (0.8166) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (78.8506)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:00:13,242 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-153.pth.tar', 78.85057936043575) + +2023-08-10 15:00:14,807 - train: [ INFO] - Train: 154 [ 0/65 ( 0%)] Loss: 0.108155 (0.1082) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.548s, 77.53/s LR: 2.859e-04 P_Replacement: 1.0 + +2023-08-10 15:00:50,292 - train: [ INFO] - Train: 154 [ 50/65 ( 78%)] Loss: 0.095733 (0.0973) Acc@1: 99.1667 (99.8203) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.27/s LR: 2.859e-04 P_Replacement: 1.0 + +2023-08-10 15:01:00,237 - train: [ INFO] - Train: 154 [ 64/65 (100%)] Loss: 0.107412 (0.0934) Acc@1: 99.1667 (99.8462) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 2.859e-04 P_Replacement: 1.0 + +2023-08-10 15:01:01,309 - train: [ INFO] - Test: [ 0/7] Time: 0.970 (0.970) Loss: 0.7219 (0.7219) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 95.0000 (95.0000) + +2023-08-10 15:01:02,909 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.321) Loss: 1.3062 (0.8702) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (79.3103)Acc@5: 83.3333 (92.9885) + +2023-08-10 15:01:03,173 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-154.pth.tar', 79.31034851074219) + +2023-08-10 15:01:04,856 - train: [ INFO] - Train: 155 [ 0/65 ( 0%)] Loss: 0.105606 (0.1056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.668s, 71.94/s LR: 2.829e-04 P_Replacement: 1.0 + +2023-08-10 15:01:40,291 - train: [ INFO] - Train: 155 [ 50/65 ( 78%)] Loss: 0.056141 (0.0760) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.95/s LR: 2.829e-04 P_Replacement: 1.0 + +2023-08-10 15:01:50,265 - train: [ INFO] - Train: 155 [ 64/65 (100%)] Loss: 0.084563 (0.0732) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.69/s LR: 2.829e-04 P_Replacement: 1.0 + +2023-08-10 15:01:51,423 - train: [ INFO] - Test: [ 0/7] Time: 0.990 (0.990) Loss: 0.6726 (0.6726) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:01:52,997 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.320) Loss: 0.6680 (0.8088) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.6897)Acc@5: 93.3333 (93.1035) + +2023-08-10 15:01:53,271 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-155.pth.tar', 80.68966069714776) + +2023-08-10 15:01:54,928 - train: [ INFO] - Train: 156 [ 0/65 ( 0%)] Loss: 0.049210 (0.0492) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.642s, 73.06/s LR: 2.799e-04 P_Replacement: 1.0 + +2023-08-10 15:02:30,371 - train: [ INFO] - Train: 156 [ 50/65 ( 78%)] Loss: 0.055440 (0.0584) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.04/s LR: 2.799e-04 P_Replacement: 1.0 + +2023-08-10 15:02:40,312 - train: [ INFO] - Train: 156 [ 64/65 (100%)] Loss: 0.055915 (0.0570) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.87/s LR: 2.799e-04 P_Replacement: 1.0 + +2023-08-10 15:02:41,429 - train: [ INFO] - Test: [ 0/7] Time: 0.956 (0.956) Loss: 1.0441 (1.0441) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 91.6667 (91.6667) + +2023-08-10 15:02:43,084 - train: [ INFO] - Test: [ 7/7] Time: 0.072 (0.326) Loss: 0.2716 (0.8578) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (78.7356)Acc@5: 96.6667 (92.6437) + +2023-08-10 15:02:45,018 - train: [ INFO] - Train: 157 [ 0/65 ( 0%)] Loss: 0.045073 (0.0451) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.648s, 72.82/s LR: 2.769e-04 P_Replacement: 1.0 + +2023-08-10 15:03:20,445 - train: [ INFO] - Train: 157 [ 50/65 ( 78%)] Loss: 0.040623 (0.0473) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.08/s LR: 2.769e-04 P_Replacement: 1.0 + +2023-08-10 15:03:30,390 - train: [ INFO] - Train: 157 [ 64/65 (100%)] Loss: 0.035827 (0.0472) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 2.769e-04 P_Replacement: 1.0 + +2023-08-10 15:03:31,569 - train: [ INFO] - Test: [ 0/7] Time: 0.981 (0.981) Loss: 0.7374 (0.7374) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:03:33,264 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.334) Loss: 1.7206 (0.8239) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (80.1149)Acc@5: 83.3333 (93.5632) + +2023-08-10 15:03:35,222 - train: [ INFO] - Train: 158 [ 0/65 ( 0%)] Loss: 0.050187 (0.0502) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.673s, 71.75/s LR: 2.739e-04 P_Replacement: 1.0 + +2023-08-10 15:04:10,679 - train: [ INFO] - Train: 158 [ 50/65 ( 78%)] Loss: 0.039767 (0.0409) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.84/s LR: 2.739e-04 P_Replacement: 1.0 + +2023-08-10 15:04:20,612 - train: [ INFO] - Train: 158 [ 64/65 (100%)] Loss: 0.044025 (0.0404) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.75/s LR: 2.739e-04 P_Replacement: 1.0 + +2023-08-10 15:04:21,733 - train: [ INFO] - Test: [ 0/7] Time: 0.964 (0.964) Loss: 1.2904 (1.2904) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 90.0000 (90.0000) + +2023-08-10 15:04:23,367 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.325) Loss: 0.5256 (0.8349) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (80.5747)Acc@5: 96.6667 (94.1379) + +2023-08-10 15:04:25,311 - train: [ INFO] - Train: 159 [ 0/65 ( 0%)] Loss: 0.029301 (0.0293) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.640s, 73.18/s LR: 2.709e-04 P_Replacement: 1.0 + +2023-08-10 15:05:00,773 - train: [ INFO] - Train: 159 [ 50/65 ( 78%)] Loss: 0.030658 (0.0372) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.99/s LR: 2.709e-04 P_Replacement: 1.0 + +2023-08-10 15:05:10,696 - train: [ INFO] - Train: 159 [ 64/65 (100%)] Loss: 0.036119 (0.0369) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 2.709e-04 P_Replacement: 1.0 + +2023-08-10 15:05:11,834 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 0.7912 (0.7912) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:05:13,465 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.320) Loss: 1.0744 (0.8300) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (79.6552)Acc@5: 93.3333 (93.4483) + +2023-08-10 15:05:15,355 - train: [ INFO] - Train: 160 [ 0/65 ( 0%)] Loss: 0.026209 (0.0262) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.608s, 74.62/s LR: 2.679e-04 P_Replacement: 1.0 + +2023-08-10 15:05:50,773 - train: [ INFO] - Train: 160 [ 50/65 ( 78%)] Loss: 0.032585 (0.0321) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.30/s LR: 2.679e-04 P_Replacement: 1.0 + +2023-08-10 15:06:00,757 - train: [ INFO] - Train: 160 [ 64/65 (100%)] Loss: 0.024698 (0.0318) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 2.679e-04 P_Replacement: 1.0 + +2023-08-10 15:06:01,865 - train: [ INFO] - Test: [ 0/7] Time: 0.954 (0.954) Loss: 1.0231 (1.0231) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 90.8333 (90.8333) + +2023-08-10 15:06:03,497 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.323) Loss: 0.8827 (0.8137) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (80.1149)Acc@5: 93.3333 (93.5632) + +2023-08-10 15:06:05,319 - train: [ INFO] - Train: 161 [ 0/65 ( 0%)] Loss: 0.026373 (0.0264) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.568s, 76.53/s LR: 2.649e-04 P_Replacement: 1.0 + +2023-08-10 15:06:40,925 - train: [ INFO] - Train: 161 [ 50/65 ( 78%)] Loss: 0.026013 (0.0273) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.64/s LR: 2.649e-04 P_Replacement: 1.0 + +2023-08-10 15:06:50,886 - train: [ INFO] - Train: 161 [ 64/65 (100%)] Loss: 0.025928 (0.0273) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.50/s LR: 2.649e-04 P_Replacement: 1.0 + +2023-08-10 15:06:52,017 - train: [ INFO] - Test: [ 0/7] Time: 0.970 (0.970) Loss: 0.8887 (0.8887) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 92.5000 (92.5000) + +2023-08-10 15:06:53,703 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.332) Loss: 0.4055 (0.8209) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.2644)Acc@5: 96.6667 (93.2184) + +2023-08-10 15:06:53,999 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-161.pth.tar', 81.26437220080146) + +2023-08-10 15:06:55,689 - train: [ INFO] - Train: 162 [ 0/65 ( 0%)] Loss: 0.026101 (0.0261) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.677s, 71.58/s LR: 2.619e-04 P_Replacement: 1.0 + +2023-08-10 15:07:31,331 - train: [ INFO] - Train: 162 [ 50/65 ( 78%)] Loss: 0.026777 (0.0277) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.732s, 164.00/s LR: 2.619e-04 P_Replacement: 1.0 + +2023-08-10 15:07:41,280 - train: [ INFO] - Train: 162 [ 64/65 (100%)] Loss: 0.032780 (0.0271) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.03/s LR: 2.619e-04 P_Replacement: 1.0 + +2023-08-10 15:07:42,376 - train: [ INFO] - Test: [ 0/7] Time: 0.939 (0.939) Loss: 0.9151 (0.9151) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:07:44,042 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.326) Loss: 0.8027 (0.7868) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.8391)Acc@5: 93.3333 (94.0230) + +2023-08-10 15:07:44,279 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-162.pth.tar', 81.83908475678543) + +2023-08-10 15:07:45,910 - train: [ INFO] - Train: 163 [ 0/65 ( 0%)] Loss: 0.024663 (0.0247) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.617s, 74.19/s LR: 2.589e-04 P_Replacement: 1.0 + +2023-08-10 15:08:21,615 - train: [ INFO] - Train: 163 [ 50/65 ( 78%)] Loss: 0.019682 (0.0273) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.99/s LR: 2.589e-04 P_Replacement: 1.0 + +2023-08-10 15:08:31,593 - train: [ INFO] - Train: 163 [ 64/65 (100%)] Loss: 0.022948 (0.0267) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.92/s LR: 2.589e-04 P_Replacement: 1.0 + +2023-08-10 15:08:32,767 - train: [ INFO] - Test: [ 0/7] Time: 1.017 (1.017) Loss: 0.5986 (0.5986) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:08:34,402 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.332) Loss: 0.5688 (0.8107) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (80.9195)Acc@5: 93.3333 (93.2184) + +2023-08-10 15:08:36,331 - train: [ INFO] - Train: 164 [ 0/65 ( 0%)] Loss: 0.024237 (0.0242) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.657s, 72.43/s LR: 2.559e-04 P_Replacement: 1.0 + +2023-08-10 15:09:11,806 - train: [ INFO] - Train: 164 [ 50/65 ( 78%)] Loss: 0.022807 (0.0236) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.83/s LR: 2.559e-04 P_Replacement: 1.0 + +2023-08-10 15:09:21,730 - train: [ INFO] - Train: 164 [ 64/65 (100%)] Loss: 0.036393 (0.0241) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 2.559e-04 P_Replacement: 1.0 + +2023-08-10 15:09:22,816 - train: [ INFO] - Test: [ 0/7] Time: 0.943 (0.943) Loss: 1.2632 (1.2632) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 86.6667 (86.6667) + +2023-08-10 15:09:24,519 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.331) Loss: 0.5744 (0.8390) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (79.4253)Acc@5: 100.0000 (93.2184) + +2023-08-10 15:09:26,361 - train: [ INFO] - Train: 165 [ 0/65 ( 0%)] Loss: 0.022438 (0.0224) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.554s, 77.23/s LR: 2.529e-04 P_Replacement: 1.0 + +2023-08-10 15:10:02,000 - train: [ INFO] - Train: 165 [ 50/65 ( 78%)] Loss: 0.026179 (0.0243) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.56/s LR: 2.529e-04 P_Replacement: 1.0 + +2023-08-10 15:10:11,953 - train: [ INFO] - Train: 165 [ 64/65 (100%)] Loss: 0.024357 (0.0236) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.45/s LR: 2.529e-04 P_Replacement: 1.0 + +2023-08-10 15:10:12,987 - train: [ INFO] - Test: [ 0/7] Time: 0.934 (0.934) Loss: 0.8348 (0.8348) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-10 15:10:14,625 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.322) Loss: 1.0410 (0.8009) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.2644)Acc@5: 90.0000 (93.5632) + +2023-08-10 15:10:16,446 - train: [ INFO] - Train: 166 [ 0/65 ( 0%)] Loss: 0.018554 (0.0186) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.575s, 76.17/s LR: 2.499e-04 P_Replacement: 1.0 + +2023-08-10 15:10:52,181 - train: [ INFO] - Train: 166 [ 50/65 ( 78%)] Loss: 0.021801 (0.0213) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.732s, 164.04/s LR: 2.499e-04 P_Replacement: 1.0 + +2023-08-10 15:11:02,184 - train: [ INFO] - Train: 166 [ 64/65 (100%)] Loss: 0.017092 (0.0213) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.87/s LR: 2.499e-04 P_Replacement: 1.0 + +2023-08-10 15:11:03,206 - train: [ INFO] - Test: [ 0/7] Time: 0.929 (0.929) Loss: 0.8029 (0.8029) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-10 15:11:04,935 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.332) Loss: 0.3420 (0.8091) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (81.1494)Acc@5: 96.6667 (93.5632) + +2023-08-10 15:11:06,898 - train: [ INFO] - Train: 167 [ 0/65 ( 0%)] Loss: 0.023280 (0.0233) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.700s, 70.59/s LR: 2.470e-04 P_Replacement: 1.0 + +2023-08-10 15:11:42,452 - train: [ INFO] - Train: 167 [ 50/65 ( 78%)] Loss: 0.017797 (0.0207) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.29/s LR: 2.470e-04 P_Replacement: 1.0 + +2023-08-10 15:11:52,381 - train: [ INFO] - Train: 167 [ 64/65 (100%)] Loss: 0.015235 (0.0207) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.33/s LR: 2.470e-04 P_Replacement: 1.0 + +2023-08-10 15:11:53,438 - train: [ INFO] - Test: [ 0/7] Time: 0.920 (0.920) Loss: 0.9320 (0.9320) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 91.6667 (91.6667) + +2023-08-10 15:11:55,141 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.328) Loss: 0.8898 (0.8008) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.8046)Acc@5: 90.0000 (93.2184) + +2023-08-10 15:11:56,952 - train: [ INFO] - Train: 168 [ 0/65 ( 0%)] Loss: 0.026008 (0.0260) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.535s, 78.15/s LR: 2.440e-04 P_Replacement: 1.0 + +2023-08-10 15:12:32,554 - train: [ INFO] - Train: 168 [ 50/65 ( 78%)] Loss: 0.026959 (0.0213) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.81/s LR: 2.440e-04 P_Replacement: 1.0 + +2023-08-10 15:12:42,541 - train: [ INFO] - Train: 168 [ 64/65 (100%)] Loss: 0.026139 (0.0214) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.53/s LR: 2.440e-04 P_Replacement: 1.0 + +2023-08-10 15:12:43,621 - train: [ INFO] - Test: [ 0/7] Time: 0.973 (0.973) Loss: 0.5512 (0.5512) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 98.3333 (98.3333) + +2023-08-10 15:12:45,276 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.328) Loss: 0.9188 (0.7840) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.3793)Acc@5: 93.3333 (93.5632) + +2023-08-10 15:12:47,206 - train: [ INFO] - Train: 169 [ 0/65 ( 0%)] Loss: 0.016628 (0.0166) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.660s, 72.28/s LR: 2.410e-04 P_Replacement: 1.0 + +2023-08-10 15:13:22,775 - train: [ INFO] - Train: 169 [ 50/65 ( 78%)] Loss: 0.015140 (0.0193) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.40/s LR: 2.410e-04 P_Replacement: 1.0 + +2023-08-10 15:13:32,747 - train: [ INFO] - Train: 169 [ 64/65 (100%)] Loss: 0.021297 (0.0195) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.27/s LR: 2.410e-04 P_Replacement: 1.0 + +2023-08-10 15:13:33,827 - train: [ INFO] - Test: [ 0/7] Time: 0.973 (0.973) Loss: 0.7664 (0.7664) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:13:35,439 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.323) Loss: 0.6445 (0.8547) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (78.5058)Acc@5: 93.3333 (92.8736) + +2023-08-10 15:13:37,405 - train: [ INFO] - Train: 170 [ 0/65 ( 0%)] Loss: 0.017794 (0.0178) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.670s, 71.87/s LR: 2.381e-04 P_Replacement: 1.0 + +2023-08-10 15:14:12,928 - train: [ INFO] - Train: 170 [ 50/65 ( 78%)] Loss: 0.019216 (0.0188) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.56/s LR: 2.381e-04 P_Replacement: 1.0 + +2023-08-10 15:14:22,914 - train: [ INFO] - Train: 170 [ 64/65 (100%)] Loss: 0.017816 (0.0184) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.34/s LR: 2.381e-04 P_Replacement: 1.0 + +2023-08-10 15:14:24,009 - train: [ INFO] - Test: [ 0/7] Time: 0.987 (0.987) Loss: 1.2313 (1.2313) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 87.5000 (87.5000) + +2023-08-10 15:14:25,687 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.333) Loss: 0.3956 (0.7726) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.0345)Acc@5: 100.0000 (93.5632) + +2023-08-10 15:14:27,528 - train: [ INFO] - Train: 171 [ 0/65 ( 0%)] Loss: 0.018458 (0.0185) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.558s, 77.02/s LR: 2.352e-04 P_Replacement: 1.0 + +2023-08-10 15:15:03,020 - train: [ INFO] - Train: 171 [ 50/65 ( 78%)] Loss: 0.014133 (0.0168) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.19/s LR: 2.352e-04 P_Replacement: 1.0 + +2023-08-10 15:15:12,976 - train: [ INFO] - Train: 171 [ 64/65 (100%)] Loss: 0.018768 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.95/s LR: 2.352e-04 P_Replacement: 1.0 + +2023-08-10 15:15:14,058 - train: [ INFO] - Test: [ 0/7] Time: 0.974 (0.974) Loss: 0.5638 (0.5638) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 95.0000 (95.0000) + +2023-08-10 15:15:15,762 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.335) Loss: 0.3768 (0.8050) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (80.4598)Acc@5: 96.6667 (93.3333) + +2023-08-10 15:15:17,585 - train: [ INFO] - Train: 172 [ 0/65 ( 0%)] Loss: 0.018372 (0.0184) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.532s, 78.31/s LR: 2.322e-04 P_Replacement: 1.0 + +2023-08-10 15:15:53,178 - train: [ INFO] - Train: 172 [ 50/65 ( 78%)] Loss: 0.015569 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.88/s LR: 2.322e-04 P_Replacement: 1.0 + +2023-08-10 15:16:03,135 - train: [ INFO] - Train: 172 [ 64/65 (100%)] Loss: 0.014086 (0.0165) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.70/s LR: 2.322e-04 P_Replacement: 1.0 + +2023-08-10 15:16:04,271 - train: [ INFO] - Test: [ 0/7] Time: 1.006 (1.006) Loss: 0.6128 (0.6128) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 95.8333 (95.8333) + +2023-08-10 15:16:05,911 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.331) Loss: 0.3865 (0.7705) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.4943)Acc@5: 100.0000 (93.7931) + +2023-08-10 15:16:07,730 - train: [ INFO] - Train: 173 [ 0/65 ( 0%)] Loss: 0.013340 (0.0133) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.542s, 77.81/s LR: 2.293e-04 P_Replacement: 1.0 + +2023-08-10 15:16:43,160 - train: [ INFO] - Train: 173 [ 50/65 ( 78%)] Loss: 0.014083 (0.0155) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.55/s LR: 2.293e-04 P_Replacement: 1.0 + +2023-08-10 15:16:53,119 - train: [ INFO] - Train: 173 [ 64/65 (100%)] Loss: 0.015428 (0.0155) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.22/s LR: 2.293e-04 P_Replacement: 1.0 + +2023-08-10 15:16:54,229 - train: [ INFO] - Test: [ 0/7] Time: 0.980 (0.980) Loss: 0.6485 (0.6485) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.0000 (95.0000) + +2023-08-10 15:16:55,887 - train: [ INFO] - Test: [ 7/7] Time: 0.076 (0.330) Loss: 0.8308 (0.8336) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (79.6552)Acc@5: 96.6667 (93.1035) + +2023-08-10 15:16:57,816 - train: [ INFO] - Train: 174 [ 0/65 ( 0%)] Loss: 0.016888 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.650s, 72.73/s LR: 2.264e-04 P_Replacement: 1.0 + +2023-08-10 15:17:33,317 - train: [ INFO] - Train: 174 [ 50/65 ( 78%)] Loss: 0.028958 (0.0159) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.74/s LR: 2.264e-04 P_Replacement: 1.0 + +2023-08-10 15:17:43,300 - train: [ INFO] - Train: 174 [ 64/65 (100%)] Loss: 0.015670 (0.0159) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.49/s LR: 2.264e-04 P_Replacement: 1.0 + +2023-08-10 15:17:44,358 - train: [ INFO] - Test: [ 0/7] Time: 0.918 (0.918) Loss: 0.8539 (0.8539) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 90.8333 (90.8333) + +2023-08-10 15:17:46,089 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.331) Loss: 0.7523 (0.7714) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.0690)Acc@5: 90.0000 (92.8736) + +2023-08-10 15:17:46,344 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-174.pth.tar', 82.06897051581021) + +2023-08-10 15:17:47,894 - train: [ INFO] - Train: 175 [ 0/65 ( 0%)] Loss: 0.017588 (0.0176) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.532s, 78.32/s LR: 2.234e-04 P_Replacement: 1.0 + +2023-08-10 15:18:23,135 - train: [ INFO] - Train: 175 [ 50/65 ( 78%)] Loss: 0.015319 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.45/s LR: 2.234e-04 P_Replacement: 1.0 + +2023-08-10 15:18:33,117 - train: [ INFO] - Train: 175 [ 64/65 (100%)] Loss: 0.013506 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.85/s LR: 2.234e-04 P_Replacement: 1.0 + +2023-08-10 15:18:34,154 - train: [ INFO] - Test: [ 0/7] Time: 0.929 (0.929) Loss: 0.6103 (0.6103) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.0000 (95.0000) + +2023-08-10 15:18:35,808 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.323) Loss: 0.9737 (0.7875) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (81.3793)Acc@5: 93.3333 (92.8736) + +2023-08-10 15:18:37,606 - train: [ INFO] - Train: 176 [ 0/65 ( 0%)] Loss: 0.014146 (0.0141) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.570s, 76.42/s LR: 2.205e-04 P_Replacement: 1.0 + +2023-08-10 15:19:13,038 - train: [ INFO] - Train: 176 [ 50/65 ( 78%)] Loss: 0.014303 (0.0149) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.41/s LR: 2.205e-04 P_Replacement: 1.0 + +2023-08-10 15:19:22,927 - train: [ INFO] - Train: 176 [ 64/65 (100%)] Loss: 0.012887 (0.0149) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.35/s LR: 2.205e-04 P_Replacement: 1.0 + +2023-08-10 15:19:23,877 - train: [ INFO] - Test: [ 0/7] Time: 0.855 (0.855) Loss: 0.7175 (0.7175) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:19:25,494 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.309) Loss: 0.9038 (0.7622) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (83.3333)Acc@5: 93.3333 (94.0230) + +2023-08-10 15:19:25,746 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-176.pth.tar', 83.3333398227034) + +2023-08-10 15:19:27,333 - train: [ INFO] - Train: 177 [ 0/65 ( 0%)] Loss: 0.013554 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.565s, 76.66/s LR: 2.176e-04 P_Replacement: 1.0 + +2023-08-10 15:20:02,861 - train: [ INFO] - Train: 177 [ 50/65 ( 78%)] Loss: 0.014778 (0.0157) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.00/s LR: 2.176e-04 P_Replacement: 1.0 + +2023-08-10 15:20:12,851 - train: [ INFO] - Train: 177 [ 64/65 (100%)] Loss: 0.015200 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.67/s LR: 2.176e-04 P_Replacement: 1.0 + +2023-08-10 15:20:13,922 - train: [ INFO] - Test: [ 0/7] Time: 0.970 (0.970) Loss: 0.8444 (0.8444) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 96.6667 (96.6667) + +2023-08-10 15:20:15,611 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.332) Loss: 1.3775 (0.7963) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (80.8046)Acc@5: 80.0000 (93.3333) + +2023-08-10 15:20:17,569 - train: [ INFO] - Train: 178 [ 0/65 ( 0%)] Loss: 0.012444 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.673s, 71.73/s LR: 2.147e-04 P_Replacement: 1.0 + +2023-08-10 15:20:53,030 - train: [ INFO] - Train: 178 [ 50/65 ( 78%)] Loss: 0.015840 (0.0152) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.82/s LR: 2.147e-04 P_Replacement: 1.0 + +2023-08-10 15:21:03,002 - train: [ INFO] - Train: 178 [ 64/65 (100%)] Loss: 0.013882 (0.0154) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.60/s LR: 2.147e-04 P_Replacement: 1.0 + +2023-08-10 15:21:04,134 - train: [ INFO] - Test: [ 0/7] Time: 0.985 (0.985) Loss: 1.0831 (1.0831) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 95.0000 (95.0000) + +2023-08-10 15:21:05,833 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.335) Loss: 0.9413 (0.8251) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (79.5402)Acc@5: 90.0000 (93.4483) + +2023-08-10 15:21:07,636 - train: [ INFO] - Train: 179 [ 0/65 ( 0%)] Loss: 0.017247 (0.0172) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.542s, 77.80/s LR: 2.119e-04 P_Replacement: 1.0 + +2023-08-10 15:21:43,114 - train: [ INFO] - Train: 179 [ 50/65 ( 78%)] Loss: 0.012048 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.32/s LR: 2.119e-04 P_Replacement: 1.0 + +2023-08-10 15:21:53,051 - train: [ INFO] - Train: 179 [ 64/65 (100%)] Loss: 0.012610 (0.0141) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.12/s LR: 2.119e-04 P_Replacement: 1.0 + +2023-08-10 15:21:54,191 - train: [ INFO] - Test: [ 0/7] Time: 0.977 (0.977) Loss: 0.9233 (0.9233) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 91.6667 (91.6667) + +2023-08-10 15:21:55,838 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.328) Loss: 0.8682 (0.7732) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (81.4943)Acc@5: 93.3333 (93.1035) + +2023-08-10 15:21:57,693 - train: [ INFO] - Train: 180 [ 0/65 ( 0%)] Loss: 0.016112 (0.0161) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.564s, 76.72/s LR: 2.090e-04 P_Replacement: 1.0 + +2023-08-10 15:22:33,200 - train: [ INFO] - Train: 180 [ 50/65 ( 78%)] Loss: 0.013708 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.10/s LR: 2.090e-04 P_Replacement: 1.0 + +2023-08-10 15:22:43,157 - train: [ INFO] - Train: 180 [ 64/65 (100%)] Loss: 0.013464 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.87/s LR: 2.090e-04 P_Replacement: 1.0 + +2023-08-10 15:22:44,274 - train: [ INFO] - Test: [ 0/7] Time: 0.978 (0.978) Loss: 0.5262 (0.5262) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 97.5000 (97.5000) + +2023-08-10 15:22:46,012 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.339) Loss: 0.6869 (0.8042) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (80.6897)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:22:47,996 - train: [ INFO] - Train: 181 [ 0/65 ( 0%)] Loss: 0.012786 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.661s, 72.23/s LR: 2.061e-04 P_Replacement: 1.0 + +2023-08-10 15:23:23,322 - train: [ INFO] - Train: 181 [ 50/65 ( 78%)] Loss: 0.014667 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.47/s LR: 2.061e-04 P_Replacement: 1.0 + +2023-08-10 15:23:33,305 - train: [ INFO] - Train: 181 [ 64/65 (100%)] Loss: 0.013718 (0.0135) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.07/s LR: 2.061e-04 P_Replacement: 1.0 + +2023-08-10 15:23:34,367 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 0.8762 (0.8762) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 90.8333 (90.8333) + +2023-08-10 15:23:36,138 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.337) Loss: 0.1780 (0.7853) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (81.2644)Acc@5: 100.0000 (93.7931) + +2023-08-10 15:23:38,078 - train: [ INFO] - Train: 182 [ 0/65 ( 0%)] Loss: 0.015781 (0.0158) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.663s, 72.17/s LR: 2.033e-04 P_Replacement: 1.0 + +2023-08-10 15:24:13,542 - train: [ INFO] - Train: 182 [ 50/65 ( 78%)] Loss: 0.012230 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.85/s LR: 2.033e-04 P_Replacement: 1.0 + +2023-08-10 15:24:23,525 - train: [ INFO] - Train: 182 [ 64/65 (100%)] Loss: 0.013919 (0.0135) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.59/s LR: 2.033e-04 P_Replacement: 1.0 + +2023-08-10 15:24:24,659 - train: [ INFO] - Test: [ 0/7] Time: 0.964 (0.964) Loss: 0.6416 (0.6416) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.8333 (95.8333) + +2023-08-10 15:24:26,299 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.326) Loss: 1.1199 (0.7568) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (81.9540)Acc@5: 96.6667 (93.6782) + +2023-08-10 15:24:28,224 - train: [ INFO] - Train: 183 [ 0/65 ( 0%)] Loss: 0.012374 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.648s, 72.84/s LR: 2.004e-04 P_Replacement: 1.0 + +2023-08-10 15:25:03,687 - train: [ INFO] - Train: 183 [ 50/65 ( 78%)] Loss: 0.012524 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.92/s LR: 2.004e-04 P_Replacement: 1.0 + +2023-08-10 15:25:13,602 - train: [ INFO] - Train: 183 [ 64/65 (100%)] Loss: 0.012775 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.88/s LR: 2.004e-04 P_Replacement: 1.0 + +2023-08-10 15:25:14,757 - train: [ INFO] - Test: [ 0/7] Time: 0.991 (0.991) Loss: 0.7324 (0.7324) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:25:16,380 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.327) Loss: 0.4713 (0.7872) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (80.6897)Acc@5: 96.6667 (93.3333) + +2023-08-10 15:25:18,153 - train: [ INFO] - Train: 184 [ 0/65 ( 0%)] Loss: 0.010878 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.517s, 79.10/s LR: 1.976e-04 P_Replacement: 1.0 + +2023-08-10 15:25:53,466 - train: [ INFO] - Train: 184 [ 50/65 ( 78%)] Loss: 0.014959 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.18/s LR: 1.976e-04 P_Replacement: 1.0 + +2023-08-10 15:26:03,422 - train: [ INFO] - Train: 184 [ 64/65 (100%)] Loss: 0.035325 (0.0133) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.73/s LR: 1.976e-04 P_Replacement: 1.0 + +2023-08-10 15:26:04,510 - train: [ INFO] - Test: [ 0/7] Time: 0.941 (0.941) Loss: 0.6860 (0.6860) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:26:06,270 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.338) Loss: 0.5996 (0.8111) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (80.5747)Acc@5: 96.6667 (92.1839) + +2023-08-10 15:26:08,192 - train: [ INFO] - Train: 185 [ 0/65 ( 0%)] Loss: 0.014592 (0.0146) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.654s, 72.54/s LR: 1.948e-04 P_Replacement: 1.0 + +2023-08-10 15:26:43,683 - train: [ INFO] - Train: 185 [ 50/65 ( 78%)] Loss: 0.013652 (0.0151) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.77/s LR: 1.948e-04 P_Replacement: 1.0 + +2023-08-10 15:26:53,649 - train: [ INFO] - Train: 185 [ 64/65 (100%)] Loss: 0.015327 (0.0148) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.57/s LR: 1.948e-04 P_Replacement: 1.0 + +2023-08-10 15:26:54,744 - train: [ INFO] - Test: [ 0/7] Time: 0.949 (0.949) Loss: 0.7162 (0.7162) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-10 15:26:56,443 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.331) Loss: 1.6170 (0.7753) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (81.6092)Acc@5: 83.3333 (92.8736) + +2023-08-10 15:26:58,412 - train: [ INFO] - Train: 186 [ 0/65 ( 0%)] Loss: 0.014172 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.664s, 72.11/s LR: 1.920e-04 P_Replacement: 1.0 + +2023-08-10 15:27:33,812 - train: [ INFO] - Train: 186 [ 50/65 ( 78%)] Loss: 0.013308 (0.0129) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.13/s LR: 1.920e-04 P_Replacement: 1.0 + +2023-08-10 15:27:43,762 - train: [ INFO] - Train: 186 [ 64/65 (100%)] Loss: 0.011059 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.92/s LR: 1.920e-04 P_Replacement: 1.0 + +2023-08-10 15:27:44,828 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 1.0083 (1.0083) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 90.8333 (90.8333) + +2023-08-10 15:27:46,455 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.321) Loss: 0.9286 (0.8056) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.2644)Acc@5: 93.3333 (92.4138) + +2023-08-10 15:27:48,319 - train: [ INFO] - Train: 187 [ 0/65 ( 0%)] Loss: 0.011295 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.558s, 77.03/s LR: 1.892e-04 P_Replacement: 1.0 + +2023-08-10 15:28:23,755 - train: [ INFO] - Train: 187 [ 50/65 ( 78%)] Loss: 0.010979 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.45/s LR: 1.892e-04 P_Replacement: 1.0 + +2023-08-10 15:28:33,731 - train: [ INFO] - Train: 187 [ 64/65 (100%)] Loss: 0.012816 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.08/s LR: 1.892e-04 P_Replacement: 1.0 + +2023-08-10 15:28:34,841 - train: [ INFO] - Test: [ 0/7] Time: 0.952 (0.952) Loss: 0.8251 (0.8251) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:28:36,527 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.330) Loss: 1.0921 (0.7914) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.6897)Acc@5: 86.6667 (92.2989) + +2023-08-10 15:28:38,453 - train: [ INFO] - Train: 188 [ 0/65 ( 0%)] Loss: 0.012113 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.645s, 72.95/s LR: 1.864e-04 P_Replacement: 1.0 + +2023-08-10 15:29:13,846 - train: [ INFO] - Train: 188 [ 50/65 ( 78%)] Loss: 0.011406 (0.0122) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.25/s LR: 1.864e-04 P_Replacement: 1.0 + +2023-08-10 15:29:23,804 - train: [ INFO] - Train: 188 [ 64/65 (100%)] Loss: 0.012201 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.98/s LR: 1.864e-04 P_Replacement: 1.0 + +2023-08-10 15:29:24,929 - train: [ INFO] - Test: [ 0/7] Time: 0.970 (0.970) Loss: 0.8274 (0.8274) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:29:26,558 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.325) Loss: 1.0171 (0.8121) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (80.6897)Acc@5: 90.0000 (93.4483) + +2023-08-10 15:29:28,448 - train: [ INFO] - Train: 189 [ 0/65 ( 0%)] Loss: 0.012133 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.628s, 73.71/s LR: 1.836e-04 P_Replacement: 1.0 + +2023-08-10 15:30:03,811 - train: [ INFO] - Train: 189 [ 50/65 ( 78%)] Loss: 0.011151 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.46/s LR: 1.836e-04 P_Replacement: 1.0 + +2023-08-10 15:30:13,705 - train: [ INFO] - Train: 189 [ 64/65 (100%)] Loss: 0.013079 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.38/s LR: 1.836e-04 P_Replacement: 1.0 + +2023-08-10 15:30:14,859 - train: [ INFO] - Test: [ 0/7] Time: 0.944 (0.944) Loss: 0.5244 (0.5244) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.8333 (95.8333) + +2023-08-10 15:30:16,500 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.323) Loss: 0.8488 (0.8106) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (80.9195)Acc@5: 93.3333 (92.7586) + +2023-08-10 15:30:18,396 - train: [ INFO] - Train: 190 [ 0/65 ( 0%)] Loss: 0.011767 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.587s, 75.60/s LR: 1.808e-04 P_Replacement: 1.0 + +2023-08-10 15:30:53,656 - train: [ INFO] - Train: 190 [ 50/65 ( 78%)] Loss: 0.011526 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 1.808e-04 P_Replacement: 1.0 + +2023-08-10 15:31:03,557 - train: [ INFO] - Train: 190 [ 64/65 (100%)] Loss: 0.010845 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.86/s LR: 1.808e-04 P_Replacement: 1.0 + +2023-08-10 15:31:04,634 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 0.7798 (0.7798) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 90.8333 (90.8333) + +2023-08-10 15:31:06,249 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.319) Loss: 0.9434 (0.7943) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (80.9195)Acc@5: 93.3333 (92.2989) + +2023-08-10 15:31:08,108 - train: [ INFO] - Train: 191 [ 0/65 ( 0%)] Loss: 0.013368 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.579s, 76.01/s LR: 1.781e-04 P_Replacement: 1.0 + +2023-08-10 15:31:43,406 - train: [ INFO] - Train: 191 [ 50/65 ( 78%)] Loss: 0.014421 (0.0120) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.97/s LR: 1.781e-04 P_Replacement: 1.0 + +2023-08-10 15:31:53,401 - train: [ INFO] - Train: 191 [ 64/65 (100%)] Loss: 0.014576 (0.0119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.42/s LR: 1.781e-04 P_Replacement: 1.0 + +2023-08-10 15:31:54,424 - train: [ INFO] - Test: [ 0/7] Time: 0.901 (0.901) Loss: 0.6805 (0.6805) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 91.6667 (91.6667) + +2023-08-10 15:31:56,119 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.325) Loss: 1.0567 (0.7563) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.1494)Acc@5: 90.0000 (93.1035) + +2023-08-10 15:31:58,008 - train: [ INFO] - Train: 192 [ 0/65 ( 0%)] Loss: 0.015617 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.563s, 76.80/s LR: 1.754e-04 P_Replacement: 1.0 + +2023-08-10 15:32:33,463 - train: [ INFO] - Train: 192 [ 50/65 ( 78%)] Loss: 0.011766 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.34/s LR: 1.754e-04 P_Replacement: 1.0 + +2023-08-10 15:32:43,430 - train: [ INFO] - Train: 192 [ 64/65 (100%)] Loss: 0.013798 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.02/s LR: 1.754e-04 P_Replacement: 1.0 + +2023-08-10 15:32:44,522 - train: [ INFO] - Test: [ 0/7] Time: 0.955 (0.955) Loss: 0.8433 (0.8433) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-10 15:32:46,097 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.316) Loss: 0.8499 (0.7805) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (81.7241)Acc@5: 90.0000 (92.9885) + +2023-08-10 15:32:47,971 - train: [ INFO] - Train: 193 [ 0/65 ( 0%)] Loss: 0.011362 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.605s, 74.75/s LR: 1.726e-04 P_Replacement: 1.0 + +2023-08-10 15:33:23,408 - train: [ INFO] - Train: 193 [ 50/65 ( 78%)] Loss: 0.009841 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.22/s LR: 1.726e-04 P_Replacement: 1.0 + +2023-08-10 15:33:33,326 - train: [ INFO] - Train: 193 [ 64/65 (100%)] Loss: 0.011623 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 1.726e-04 P_Replacement: 1.0 + +2023-08-10 15:33:34,464 - train: [ INFO] - Test: [ 0/7] Time: 1.009 (1.009) Loss: 0.9406 (0.9406) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 91.6667 (91.6667) + +2023-08-10 15:33:36,134 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.335) Loss: 0.7929 (0.7771) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.6092)Acc@5: 86.6667 (93.4483) + +2023-08-10 15:33:38,006 - train: [ INFO] - Train: 194 [ 0/65 ( 0%)] Loss: 0.010496 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.574s, 76.22/s LR: 1.699e-04 P_Replacement: 1.0 + +2023-08-10 15:34:13,452 - train: [ INFO] - Train: 194 [ 50/65 ( 78%)] Loss: 0.010406 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.33/s LR: 1.699e-04 P_Replacement: 1.0 + +2023-08-10 15:34:23,394 - train: [ INFO] - Train: 194 [ 64/65 (100%)] Loss: 0.010767 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 1.699e-04 P_Replacement: 1.0 + +2023-08-10 15:34:24,507 - train: [ INFO] - Test: [ 0/7] Time: 0.948 (0.948) Loss: 0.8124 (0.8124) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 91.6667 (91.6667) + +2023-08-10 15:34:26,146 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.323) Loss: 0.4599 (0.7892) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.3793)Acc@5: 100.0000 (93.5632) + +2023-08-10 15:34:28,097 - train: [ INFO] - Train: 195 [ 0/65 ( 0%)] Loss: 0.011257 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.642s, 73.09/s LR: 1.672e-04 P_Replacement: 1.0 + +2023-08-10 15:35:03,485 - train: [ INFO] - Train: 195 [ 50/65 ( 78%)] Loss: 0.014539 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.28/s LR: 1.672e-04 P_Replacement: 1.0 + +2023-08-10 15:35:13,396 - train: [ INFO] - Train: 195 [ 64/65 (100%)] Loss: 0.009922 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.18/s LR: 1.672e-04 P_Replacement: 1.0 + +2023-08-10 15:35:14,527 - train: [ INFO] - Test: [ 0/7] Time: 0.974 (0.974) Loss: 0.4904 (0.4904) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 97.5000 (97.5000) + +2023-08-10 15:35:16,170 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.327) Loss: 1.1417 (0.7537) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.0690)Acc@5: 86.6667 (92.8736) + +2023-08-10 15:35:18,169 - train: [ INFO] - Train: 196 [ 0/65 ( 0%)] Loss: 0.012730 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.689s, 71.04/s LR: 1.646e-04 P_Replacement: 1.0 + +2023-08-10 15:35:53,511 - train: [ INFO] - Train: 196 [ 50/65 ( 78%)] Loss: 0.012400 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.27/s LR: 1.646e-04 P_Replacement: 1.0 + +2023-08-10 15:36:03,455 - train: [ INFO] - Train: 196 [ 64/65 (100%)] Loss: 0.010990 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 1.646e-04 P_Replacement: 1.0 + +2023-08-10 15:36:04,512 - train: [ INFO] - Test: [ 0/7] Time: 0.935 (0.935) Loss: 0.5753 (0.5753) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:36:06,106 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.316) Loss: 0.8909 (0.7492) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.1839)Acc@5: 93.3333 (93.4483) + +2023-08-10 15:36:08,067 - train: [ INFO] - Train: 197 [ 0/65 ( 0%)] Loss: 0.011238 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.671s, 71.80/s LR: 1.619e-04 P_Replacement: 1.0 + +2023-08-10 15:36:43,389 - train: [ INFO] - Train: 197 [ 50/65 ( 78%)] Loss: 0.010686 (0.0117) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.45/s LR: 1.619e-04 P_Replacement: 1.0 + +2023-08-10 15:36:53,271 - train: [ INFO] - Train: 197 [ 64/65 (100%)] Loss: 0.010948 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.41/s LR: 1.619e-04 P_Replacement: 1.0 + +2023-08-10 15:36:54,431 - train: [ INFO] - Test: [ 0/7] Time: 0.992 (0.992) Loss: 1.0471 (1.0471) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.8333 (90.8333) + +2023-08-10 15:36:56,054 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.327) Loss: 0.5311 (0.8108) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (80.4598)Acc@5: 100.0000 (93.3333) + +2023-08-10 15:36:57,886 - train: [ INFO] - Train: 198 [ 0/65 ( 0%)] Loss: 0.010797 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.522s, 78.84/s LR: 1.592e-04 P_Replacement: 1.0 + +2023-08-10 15:37:33,195 - train: [ INFO] - Train: 198 [ 50/65 ( 78%)] Loss: 0.010153 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.18/s LR: 1.592e-04 P_Replacement: 1.0 + +2023-08-10 15:37:43,108 - train: [ INFO] - Train: 198 [ 64/65 (100%)] Loss: 0.011421 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.88/s LR: 1.592e-04 P_Replacement: 1.0 + +2023-08-10 15:37:44,206 - train: [ INFO] - Test: [ 0/7] Time: 0.946 (0.946) Loss: 1.0016 (1.0016) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 92.5000 (92.5000) + +2023-08-10 15:37:45,806 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.318) Loss: 1.3217 (0.8050) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (80.4598)Acc@5: 90.0000 (93.2184) + +2023-08-10 15:37:47,675 - train: [ INFO] - Train: 199 [ 0/65 ( 0%)] Loss: 0.010225 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.596s, 75.19/s LR: 1.566e-04 P_Replacement: 1.0 + +2023-08-10 15:38:23,099 - train: [ INFO] - Train: 199 [ 50/65 ( 78%)] Loss: 0.011733 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.33/s LR: 1.566e-04 P_Replacement: 1.0 + +2023-08-10 15:38:33,034 - train: [ INFO] - Train: 199 [ 64/65 (100%)] Loss: 0.010113 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.13/s LR: 1.566e-04 P_Replacement: 1.0 + +2023-08-10 15:38:34,058 - train: [ INFO] - Test: [ 0/7] Time: 0.878 (0.878) Loss: 0.6831 (0.6831) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:38:35,630 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.306) Loss: 1.0450 (0.7408) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (82.2989)Acc@5: 96.6667 (93.7931) + +2023-08-10 15:38:37,594 - train: [ INFO] - Train: 200 [ 0/65 ( 0%)] Loss: 0.010021 (0.0100) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.660s, 72.28/s LR: 1.540e-04 P_Replacement: 1.0 + +2023-08-10 15:39:12,978 - train: [ INFO] - Train: 200 [ 50/65 ( 78%)] Loss: 0.009782 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.22/s LR: 1.540e-04 P_Replacement: 1.0 + +2023-08-10 15:39:22,877 - train: [ INFO] - Train: 200 [ 64/65 (100%)] Loss: 0.009921 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.17/s LR: 1.540e-04 P_Replacement: 1.0 + +2023-08-10 15:39:23,960 - train: [ INFO] - Test: [ 0/7] Time: 0.946 (0.946) Loss: 0.5859 (0.5859) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 95.8333 (95.8333) + +2023-08-10 15:39:25,585 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.321) Loss: 0.7024 (0.7587) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.7586)Acc@5: 96.6667 (93.3333) + +2023-08-10 15:39:27,551 - train: [ INFO] - Train: 201 [ 0/65 ( 0%)] Loss: 0.011122 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.653s, 72.58/s LR: 1.514e-04 P_Replacement: 1.0 + +2023-08-10 15:40:02,926 - train: [ INFO] - Train: 201 [ 50/65 ( 78%)] Loss: 0.009973 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.29/s LR: 1.514e-04 P_Replacement: 1.0 + +2023-08-10 15:40:12,866 - train: [ INFO] - Train: 201 [ 64/65 (100%)] Loss: 0.009502 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.08/s LR: 1.514e-04 P_Replacement: 1.0 + +2023-08-10 15:40:13,983 - train: [ INFO] - Test: [ 0/7] Time: 0.969 (0.969) Loss: 0.7416 (0.7416) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-10 15:40:15,653 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.330) Loss: 1.0284 (0.7625) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (81.7241)Acc@5: 90.0000 (93.3333) + +2023-08-10 15:40:17,593 - train: [ INFO] - Train: 202 [ 0/65 ( 0%)] Loss: 0.009760 (0.0098) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.662s, 72.19/s LR: 1.488e-04 P_Replacement: 1.0 + +2023-08-10 15:40:52,885 - train: [ INFO] - Train: 202 [ 50/65 ( 78%)] Loss: 0.010028 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.62/s LR: 1.488e-04 P_Replacement: 1.0 + +2023-08-10 15:41:02,783 - train: [ INFO] - Train: 202 [ 64/65 (100%)] Loss: 0.009350 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.49/s LR: 1.488e-04 P_Replacement: 1.0 + +2023-08-10 15:41:03,932 - train: [ INFO] - Test: [ 0/7] Time: 0.979 (0.979) Loss: 0.7080 (0.7080) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:41:05,627 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.334) Loss: 0.4450 (0.7804) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.6092)Acc@5: 96.6667 (92.9885) + +2023-08-10 15:41:07,566 - train: [ INFO] - Train: 203 [ 0/65 ( 0%)] Loss: 0.010612 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.627s, 73.77/s LR: 1.462e-04 P_Replacement: 1.0 + +2023-08-10 15:41:42,883 - train: [ INFO] - Train: 203 [ 50/65 ( 78%)] Loss: 0.009094 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.67/s LR: 1.462e-04 P_Replacement: 1.0 + +2023-08-10 15:41:52,845 - train: [ INFO] - Train: 203 [ 64/65 (100%)] Loss: 0.009961 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.30/s LR: 1.462e-04 P_Replacement: 1.0 + +2023-08-10 15:41:53,999 - train: [ INFO] - Test: [ 0/7] Time: 0.987 (0.987) Loss: 0.8168 (0.8168) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 95.0000 (95.0000) + +2023-08-10 15:41:55,633 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.328) Loss: 0.1620 (0.7790) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (81.8391)Acc@5: 100.0000 (93.2184) + +2023-08-10 15:41:57,564 - train: [ INFO] - Train: 204 [ 0/65 ( 0%)] Loss: 0.009675 (0.0097) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.659s, 72.35/s LR: 1.437e-04 P_Replacement: 1.0 + +2023-08-10 15:42:33,024 - train: [ INFO] - Train: 204 [ 50/65 ( 78%)] Loss: 0.010156 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.89/s LR: 1.437e-04 P_Replacement: 1.0 + +2023-08-10 15:42:43,046 - train: [ INFO] - Train: 204 [ 64/65 (100%)] Loss: 0.009726 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.48/s LR: 1.437e-04 P_Replacement: 1.0 + +2023-08-10 15:42:44,179 - train: [ INFO] - Test: [ 0/7] Time: 0.965 (0.965) Loss: 0.6568 (0.6568) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:42:45,746 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.316) Loss: 0.6555 (0.8022) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (80.9195)Acc@5: 96.6667 (93.2184) + +2023-08-10 15:42:47,607 - train: [ INFO] - Train: 205 [ 0/65 ( 0%)] Loss: 0.009831 (0.0098) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.546s, 77.60/s LR: 1.411e-04 P_Replacement: 1.0 + +2023-08-10 15:43:23,019 - train: [ INFO] - Train: 205 [ 50/65 ( 78%)] Loss: 0.009740 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.60/s LR: 1.411e-04 P_Replacement: 1.0 + +2023-08-10 15:43:32,987 - train: [ INFO] - Train: 205 [ 64/65 (100%)] Loss: 0.011436 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.23/s LR: 1.411e-04 P_Replacement: 1.0 + +2023-08-10 15:43:34,078 - train: [ INFO] - Test: [ 0/7] Time: 0.947 (0.947) Loss: 0.7859 (0.7859) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:43:35,694 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.320) Loss: 0.2619 (0.7880) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (81.3793)Acc@5: 100.0000 (93.4483) + +2023-08-10 15:43:37,739 - train: [ INFO] - Train: 206 [ 0/65 ( 0%)] Loss: 0.009687 (0.0097) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.717s, 69.89/s LR: 1.386e-04 P_Replacement: 1.0 + +2023-08-10 15:44:13,355 - train: [ INFO] - Train: 206 [ 50/65 ( 78%)] Loss: 0.010031 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.94/s LR: 1.386e-04 P_Replacement: 1.0 + +2023-08-10 15:44:23,331 - train: [ INFO] - Train: 206 [ 64/65 (100%)] Loss: 0.010492 (0.0100) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.89/s LR: 1.386e-04 P_Replacement: 1.0 + +2023-08-10 15:44:24,453 - train: [ INFO] - Test: [ 0/7] Time: 0.968 (0.968) Loss: 0.7782 (0.7782) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-10 15:44:26,073 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.324) Loss: 1.0013 (0.7423) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.7586)Acc@5: 83.3333 (93.1035) + +2023-08-10 15:44:28,067 - train: [ INFO] - Train: 207 [ 0/65 ( 0%)] Loss: 0.009495 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.678s, 71.51/s LR: 1.361e-04 P_Replacement: 1.0 + +2023-08-10 15:45:03,496 - train: [ INFO] - Train: 207 [ 50/65 ( 78%)] Loss: 0.009520 (0.0097) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.94/s LR: 1.361e-04 P_Replacement: 1.0 + +2023-08-10 15:45:13,441 - train: [ INFO] - Train: 207 [ 64/65 (100%)] Loss: 0.009135 (0.0097) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.79/s LR: 1.361e-04 P_Replacement: 1.0 + +2023-08-10 15:45:14,577 - train: [ INFO] - Test: [ 0/7] Time: 0.994 (0.994) Loss: 0.5395 (0.5395) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 95.0000 (95.0000) + +2023-08-10 15:45:16,254 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.334) Loss: 1.4225 (0.7591) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (81.9540)Acc@5: 80.0000 (93.2184) + +2023-08-10 15:45:18,215 - train: [ INFO] - Train: 208 [ 0/65 ( 0%)] Loss: 0.010175 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.663s, 72.18/s LR: 1.336e-04 P_Replacement: 1.0 + +2023-08-10 15:45:53,571 - train: [ INFO] - Train: 208 [ 50/65 ( 78%)] Loss: 0.009193 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.33/s LR: 1.336e-04 P_Replacement: 1.0 + +2023-08-10 15:46:03,500 - train: [ INFO] - Train: 208 [ 64/65 (100%)] Loss: 0.009634 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.15/s LR: 1.336e-04 P_Replacement: 1.0 + +2023-08-10 15:46:04,598 - train: [ INFO] - Test: [ 0/7] Time: 0.945 (0.945) Loss: 1.0303 (1.0303) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 88.3333 (88.3333) + +2023-08-10 15:46:06,265 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.327) Loss: 0.3042 (0.7523) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (82.8736)Acc@5: 100.0000 (93.3333) + +2023-08-10 15:46:08,197 - train: [ INFO] - Train: 209 [ 0/65 ( 0%)] Loss: 0.008987 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.634s, 73.44/s LR: 1.312e-04 P_Replacement: 1.0 + +2023-08-10 15:46:43,621 - train: [ INFO] - Train: 209 [ 50/65 ( 78%)] Loss: 0.012649 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.17/s LR: 1.312e-04 P_Replacement: 1.0 + +2023-08-10 15:46:53,530 - train: [ INFO] - Train: 209 [ 64/65 (100%)] Loss: 0.009464 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.10/s LR: 1.312e-04 P_Replacement: 1.0 + +2023-08-10 15:46:54,603 - train: [ INFO] - Test: [ 0/7] Time: 0.962 (0.962) Loss: 0.7834 (0.7834) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-10 15:46:56,206 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.321) Loss: 1.3052 (0.7773) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.6092)Acc@5: 86.6667 (93.1035) + +2023-08-10 15:46:58,160 - train: [ INFO] - Train: 210 [ 0/65 ( 0%)] Loss: 0.009754 (0.0098) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.630s, 73.63/s LR: 1.287e-04 P_Replacement: 1.0 + +2023-08-10 15:47:33,609 - train: [ INFO] - Train: 210 [ 50/65 ( 78%)] Loss: 0.009725 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.07/s LR: 1.287e-04 P_Replacement: 1.0 + +2023-08-10 15:47:43,525 - train: [ INFO] - Train: 210 [ 64/65 (100%)] Loss: 0.009357 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.99/s LR: 1.287e-04 P_Replacement: 1.0 + +2023-08-10 15:47:44,576 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 0.6867 (0.6867) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.0000 (95.0000) + +2023-08-10 15:47:46,231 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.322) Loss: 0.7234 (0.7706) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (82.4138)Acc@5: 93.3333 (93.5632) + +2023-08-10 15:47:48,264 - train: [ INFO] - Train: 211 [ 0/65 ( 0%)] Loss: 0.010574 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.688s, 71.08/s LR: 1.263e-04 P_Replacement: 1.0 + +2023-08-10 15:48:23,750 - train: [ INFO] - Train: 211 [ 50/65 ( 78%)] Loss: 0.009296 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.64/s LR: 1.263e-04 P_Replacement: 1.0 + +2023-08-10 15:48:33,730 - train: [ INFO] - Train: 211 [ 64/65 (100%)] Loss: 0.009182 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.43/s LR: 1.263e-04 P_Replacement: 1.0 + +2023-08-10 15:48:34,835 - train: [ INFO] - Test: [ 0/7] Time: 0.965 (0.965) Loss: 0.7508 (0.7508) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:48:36,518 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.331) Loss: 0.7994 (0.7843) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.0690)Acc@5: 96.6667 (92.6437) + +2023-08-10 15:48:38,382 - train: [ INFO] - Train: 212 [ 0/65 ( 0%)] Loss: 0.008740 (0.0087) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.578s, 76.03/s LR: 1.239e-04 P_Replacement: 1.0 + +2023-08-10 15:49:13,782 - train: [ INFO] - Train: 212 [ 50/65 ( 78%)] Loss: 0.010067 (0.0092) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.51/s LR: 1.239e-04 P_Replacement: 1.0 + +2023-08-10 15:49:23,739 - train: [ INFO] - Train: 212 [ 64/65 (100%)] Loss: 0.010112 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.20/s LR: 1.239e-04 P_Replacement: 1.0 + +2023-08-10 15:49:24,922 - train: [ INFO] - Test: [ 0/7] Time: 0.981 (0.981) Loss: 0.7472 (0.7472) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:49:26,576 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.329) Loss: 1.2986 (0.7501) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (82.5287)Acc@5: 83.3333 (93.7931) + +2023-08-10 15:49:28,495 - train: [ INFO] - Train: 213 [ 0/65 ( 0%)] Loss: 0.008658 (0.0087) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.613s, 74.39/s LR: 1.215e-04 P_Replacement: 1.0 + +2023-08-10 15:50:03,982 - train: [ INFO] - Train: 213 [ 50/65 ( 78%)] Loss: 0.009234 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.97/s LR: 1.215e-04 P_Replacement: 1.0 + +2023-08-10 15:50:13,891 - train: [ INFO] - Train: 213 [ 64/65 (100%)] Loss: 0.008856 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 1.215e-04 P_Replacement: 1.0 + +2023-08-10 15:50:14,946 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 0.6014 (0.6014) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:50:16,642 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.326) Loss: 0.9366 (0.7577) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.7586)Acc@5: 90.0000 (92.5287) + +2023-08-10 15:50:18,442 - train: [ INFO] - Train: 214 [ 0/65 ( 0%)] Loss: 0.008572 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.512s, 79.37/s LR: 1.191e-04 P_Replacement: 1.0 + +2023-08-10 15:50:53,777 - train: [ INFO] - Train: 214 [ 50/65 ( 78%)] Loss: 0.009274 (0.0092) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.10/s LR: 1.191e-04 P_Replacement: 1.0 + +2023-08-10 15:51:03,720 - train: [ INFO] - Train: 214 [ 64/65 (100%)] Loss: 0.011051 (0.0092) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.71/s LR: 1.191e-04 P_Replacement: 1.0 + +2023-08-10 15:51:04,810 - train: [ INFO] - Test: [ 0/7] Time: 0.957 (0.957) Loss: 0.7960 (0.7960) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:51:06,408 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.319) Loss: 0.2935 (0.8215) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (81.0345)Acc@5: 96.6667 (92.7586) + +2023-08-10 15:51:08,364 - train: [ INFO] - Train: 215 [ 0/65 ( 0%)] Loss: 0.008449 (0.0084) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.638s, 73.27/s LR: 1.167e-04 P_Replacement: 1.0 + +2023-08-10 15:51:43,699 - train: [ INFO] - Train: 215 [ 50/65 ( 78%)] Loss: 0.008543 (0.0091) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.54/s LR: 1.167e-04 P_Replacement: 1.0 + +2023-08-10 15:51:53,548 - train: [ INFO] - Train: 215 [ 64/65 (100%)] Loss: 0.009221 (0.0092) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.60/s LR: 1.167e-04 P_Replacement: 1.0 + +2023-08-10 15:51:54,627 - train: [ INFO] - Test: [ 0/7] Time: 0.941 (0.941) Loss: 0.7676 (0.7676) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:51:56,287 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.325) Loss: 1.0164 (0.8201) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (81.6092)Acc@5: 86.6667 (92.6437) + +2023-08-10 15:51:58,272 - train: [ INFO] - Train: 216 [ 0/65 ( 0%)] Loss: 0.010440 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.686s, 71.19/s LR: 1.144e-04 P_Replacement: 1.0 + +2023-08-10 15:52:33,707 - train: [ INFO] - Train: 216 [ 50/65 ( 78%)] Loss: 0.009049 (0.0091) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.88/s LR: 1.144e-04 P_Replacement: 1.0 + +2023-08-10 15:52:43,652 - train: [ INFO] - Train: 216 [ 64/65 (100%)] Loss: 0.009382 (0.0091) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.74/s LR: 1.144e-04 P_Replacement: 1.0 + +2023-08-10 15:52:44,765 - train: [ INFO] - Test: [ 0/7] Time: 0.955 (0.955) Loss: 0.7561 (0.7561) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 92.5000 (92.5000) + +2023-08-10 15:52:46,410 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.325) Loss: 0.8340 (0.7976) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (80.9195)Acc@5: 90.0000 (92.6437) + +2023-08-10 15:52:48,366 - train: [ INFO] - Train: 217 [ 0/65 ( 0%)] Loss: 0.008923 (0.0089) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.675s, 71.64/s LR: 1.121e-04 P_Replacement: 1.0 + +2023-08-10 15:53:23,862 - train: [ INFO] - Train: 217 [ 50/65 ( 78%)] Loss: 0.009806 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.65/s LR: 1.121e-04 P_Replacement: 1.0 + +2023-08-10 15:53:33,745 - train: [ INFO] - Train: 217 [ 64/65 (100%)] Loss: 0.009028 (0.0091) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 1.121e-04 P_Replacement: 1.0 + +2023-08-10 15:53:34,844 - train: [ INFO] - Test: [ 0/7] Time: 0.974 (0.974) Loss: 0.7727 (0.7727) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 95.0000 (95.0000) + +2023-08-10 15:53:36,479 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.326) Loss: 0.7884 (0.7690) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.2989)Acc@5: 96.6667 (92.6437) + +2023-08-10 15:53:38,299 - train: [ INFO] - Train: 218 [ 0/65 ( 0%)] Loss: 0.009380 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.513s, 79.34/s LR: 1.098e-04 P_Replacement: 1.0 + +2023-08-10 15:54:13,641 - train: [ INFO] - Train: 218 [ 50/65 ( 78%)] Loss: 0.008833 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.07/s LR: 1.098e-04 P_Replacement: 1.0 + +2023-08-10 15:54:23,527 - train: [ INFO] - Train: 218 [ 64/65 (100%)] Loss: 0.008544 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.89/s LR: 1.098e-04 P_Replacement: 1.0 + +2023-08-10 15:54:24,655 - train: [ INFO] - Test: [ 0/7] Time: 0.971 (0.971) Loss: 0.6081 (0.6081) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 95.0000 (95.0000) + +2023-08-10 15:54:26,273 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.324) Loss: 0.9871 (0.7705) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (82.6437)Acc@5: 96.6667 (92.8736) + +2023-08-10 15:54:28,214 - train: [ INFO] - Train: 219 [ 0/65 ( 0%)] Loss: 0.009271 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.610s, 74.54/s LR: 1.075e-04 P_Replacement: 1.0 + +2023-08-10 15:55:03,683 - train: [ INFO] - Train: 219 [ 50/65 ( 78%)] Loss: 0.008228 (0.0087) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.06/s LR: 1.075e-04 P_Replacement: 1.0 + +2023-08-10 15:55:13,602 - train: [ INFO] - Train: 219 [ 64/65 (100%)] Loss: 0.007985 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.98/s LR: 1.075e-04 P_Replacement: 1.0 + +2023-08-10 15:55:14,702 - train: [ INFO] - Test: [ 0/7] Time: 0.962 (0.962) Loss: 0.7654 (0.7654) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 92.5000 (92.5000) + +2023-08-10 15:55:16,379 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.330) Loss: 0.7195 (0.7807) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.6437)Acc@5: 90.0000 (92.4138) + +2023-08-10 15:55:18,262 - train: [ INFO] - Train: 220 [ 0/65 ( 0%)] Loss: 0.008544 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.569s, 76.48/s LR: 1.053e-04 P_Replacement: 1.0 + +2023-08-10 15:55:53,661 - train: [ INFO] - Train: 220 [ 50/65 ( 78%)] Loss: 0.008709 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.56/s LR: 1.053e-04 P_Replacement: 1.0 + +2023-08-10 15:56:03,545 - train: [ INFO] - Train: 220 [ 64/65 (100%)] Loss: 0.008250 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.49/s LR: 1.053e-04 P_Replacement: 1.0 + +2023-08-10 15:56:04,656 - train: [ INFO] - Test: [ 0/7] Time: 0.942 (0.942) Loss: 0.8483 (0.8483) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 91.6667 (91.6667) + +2023-08-10 15:56:06,286 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.322) Loss: 0.6638 (0.8171) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.2644)Acc@5: 96.6667 (93.1035) + +2023-08-10 15:56:08,177 - train: [ INFO] - Train: 221 [ 0/65 ( 0%)] Loss: 0.008948 (0.0089) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.614s, 74.35/s LR: 1.030e-04 P_Replacement: 1.0 + +2023-08-10 15:56:43,636 - train: [ INFO] - Train: 221 [ 50/65 ( 78%)] Loss: 0.007872 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.09/s LR: 1.030e-04 P_Replacement: 1.0 + +2023-08-10 15:56:53,595 - train: [ INFO] - Train: 221 [ 64/65 (100%)] Loss: 0.008669 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.86/s LR: 1.030e-04 P_Replacement: 1.0 + +2023-08-10 15:56:54,691 - train: [ INFO] - Test: [ 0/7] Time: 0.967 (0.967) Loss: 0.6511 (0.6511) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:56:56,305 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.323) Loss: 0.6404 (0.8137) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.1494)Acc@5: 96.6667 (92.2989) + +2023-08-10 15:56:58,252 - train: [ INFO] - Train: 222 [ 0/65 ( 0%)] Loss: 0.009232 (0.0092) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.648s, 72.80/s LR: 1.008e-04 P_Replacement: 1.0 + +2023-08-10 15:57:33,584 - train: [ INFO] - Train: 222 [ 50/65 ( 78%)] Loss: 0.008496 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.51/s LR: 1.008e-04 P_Replacement: 1.0 + +2023-08-10 15:57:43,503 - train: [ INFO] - Train: 222 [ 64/65 (100%)] Loss: 0.008058 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.33/s LR: 1.008e-04 P_Replacement: 1.0 + +2023-08-10 15:57:44,549 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 0.8961 (0.8961) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 91.6667 (91.6667) + +2023-08-10 15:57:46,160 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.316) Loss: 0.7645 (0.7742) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.9540)Acc@5: 93.3333 (92.9885) + +2023-08-10 15:57:48,148 - train: [ INFO] - Train: 223 [ 0/65 ( 0%)] Loss: 0.008896 (0.0089) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.668s, 71.94/s LR: 9.865e-05 P_Replacement: 1.0 + +2023-08-10 15:58:23,555 - train: [ INFO] - Train: 223 [ 50/65 ( 78%)] Loss: 0.008140 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.08/s LR: 9.865e-05 P_Replacement: 1.0 + +2023-08-10 15:58:33,491 - train: [ INFO] - Train: 223 [ 64/65 (100%)] Loss: 0.009411 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.93/s LR: 9.865e-05 P_Replacement: 1.0 + +2023-08-10 15:58:34,577 - train: [ INFO] - Test: [ 0/7] Time: 0.931 (0.931) Loss: 0.7139 (0.7139) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:58:36,216 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.321) Loss: 0.5964 (0.7748) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.7586)Acc@5: 93.3333 (93.3333) + +2023-08-10 15:58:38,172 - train: [ INFO] - Train: 224 [ 0/65 ( 0%)] Loss: 0.007932 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.673s, 71.72/s LR: 9.649e-05 P_Replacement: 1.0 + +2023-08-10 15:59:13,587 - train: [ INFO] - Train: 224 [ 50/65 ( 78%)] Loss: 0.008153 (0.0082) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.02/s LR: 9.649e-05 P_Replacement: 1.0 + +2023-08-10 15:59:23,540 - train: [ INFO] - Train: 224 [ 64/65 (100%)] Loss: 0.012173 (0.0083) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.82/s LR: 9.649e-05 P_Replacement: 1.0 + +2023-08-10 15:59:24,694 - train: [ INFO] - Test: [ 0/7] Time: 0.984 (0.984) Loss: 0.8317 (0.8317) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 94.1667 (94.1667) + +2023-08-10 15:59:26,351 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.330) Loss: 0.5647 (0.8040) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.4943)Acc@5: 96.6667 (92.6437) + +2023-08-10 15:59:28,278 - train: [ INFO] - Train: 225 [ 0/65 ( 0%)] Loss: 0.007930 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.648s, 72.83/s LR: 9.434e-05 P_Replacement: 1.0 + +2023-08-10 16:00:03,722 - train: [ INFO] - Train: 225 [ 50/65 ( 78%)] Loss: 0.008247 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.01/s LR: 9.434e-05 P_Replacement: 1.0 + +2023-08-10 16:00:13,605 - train: [ INFO] - Train: 225 [ 64/65 (100%)] Loss: 0.009242 (0.0089) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 9.434e-05 P_Replacement: 1.0 + +2023-08-10 16:00:14,746 - train: [ INFO] - Test: [ 0/7] Time: 0.978 (0.978) Loss: 0.6079 (0.6079) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 97.5000 (97.5000) + +2023-08-10 16:00:16,377 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.326) Loss: 0.5100 (0.7763) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (82.1839)Acc@5: 96.6667 (92.8736) + +2023-08-10 16:00:18,328 - train: [ INFO] - Train: 226 [ 0/65 ( 0%)] Loss: 0.007828 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.646s, 72.89/s LR: 9.222e-05 P_Replacement: 1.0 + +2023-08-10 16:00:53,777 - train: [ INFO] - Train: 226 [ 50/65 ( 78%)] Loss: 0.008247 (0.0084) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.99/s LR: 9.222e-05 P_Replacement: 1.0 + +2023-08-10 16:01:03,737 - train: [ INFO] - Train: 226 [ 64/65 (100%)] Loss: 0.008871 (0.0084) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 9.222e-05 P_Replacement: 1.0 + +2023-08-10 16:01:04,861 - train: [ INFO] - Test: [ 0/7] Time: 0.985 (0.985) Loss: 0.5469 (0.5469) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-10 16:01:06,521 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.331) Loss: 0.7067 (0.7778) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.3793)Acc@5: 90.0000 (93.4483) + +2023-08-10 16:01:08,335 - train: [ INFO] - Train: 227 [ 0/65 ( 0%)] Loss: 0.007772 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.550s, 77.44/s LR: 9.012e-05 P_Replacement: 1.0 + +2023-08-10 16:01:43,780 - train: [ INFO] - Train: 227 [ 50/65 ( 78%)] Loss: 0.007758 (0.0084) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.44/s LR: 9.012e-05 P_Replacement: 1.0 + +2023-08-10 16:01:53,724 - train: [ INFO] - Train: 227 [ 64/65 (100%)] Loss: 0.007998 (0.0084) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.19/s LR: 9.012e-05 P_Replacement: 1.0 + +2023-08-10 16:01:54,822 - train: [ INFO] - Test: [ 0/7] Time: 0.938 (0.938) Loss: 0.5810 (0.5810) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.8333 (95.8333) + +2023-08-10 16:01:56,436 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.319) Loss: 0.3966 (0.7641) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (83.1035)Acc@5: 96.6667 (93.3333) + +2023-08-10 16:01:58,359 - train: [ INFO] - Train: 228 [ 0/65 ( 0%)] Loss: 0.007555 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.606s, 74.74/s LR: 8.805e-05 P_Replacement: 1.0 + +2023-08-10 16:02:33,883 - train: [ INFO] - Train: 228 [ 50/65 ( 78%)] Loss: 0.007898 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.84/s LR: 8.805e-05 P_Replacement: 1.0 + +2023-08-10 16:02:43,814 - train: [ INFO] - Train: 228 [ 64/65 (100%)] Loss: 0.007798 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.75/s LR: 8.805e-05 P_Replacement: 1.0 + +2023-08-10 16:02:44,920 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 0.8684 (0.8684) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 91.6667 (91.6667) + +2023-08-10 16:02:46,577 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.323) Loss: 0.6246 (0.8127) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.3793)Acc@5: 96.6667 (93.1035) + +2023-08-10 16:02:48,465 - train: [ INFO] - Train: 229 [ 0/65 ( 0%)] Loss: 0.007921 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.589s, 75.50/s LR: 8.600e-05 P_Replacement: 1.0 + +2023-08-10 16:03:23,833 - train: [ INFO] - Train: 229 [ 50/65 ( 78%)] Loss: 0.008401 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.61/s LR: 8.600e-05 P_Replacement: 1.0 + +2023-08-10 16:03:33,784 - train: [ INFO] - Train: 229 [ 64/65 (100%)] Loss: 0.008719 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.29/s LR: 8.600e-05 P_Replacement: 1.0 + +2023-08-10 16:03:34,931 - train: [ INFO] - Test: [ 0/7] Time: 0.979 (0.979) Loss: 0.8086 (0.8086) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:03:36,569 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.327) Loss: 1.0400 (0.7788) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.2989)Acc@5: 93.3333 (92.7586) + +2023-08-10 16:03:38,523 - train: [ INFO] - Train: 230 [ 0/65 ( 0%)] Loss: 0.007786 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.659s, 72.34/s LR: 8.397e-05 P_Replacement: 1.0 + +2023-08-10 16:04:13,925 - train: [ INFO] - Train: 230 [ 50/65 ( 78%)] Loss: 0.007710 (0.0080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.14/s LR: 8.397e-05 P_Replacement: 1.0 + +2023-08-10 16:04:23,806 - train: [ INFO] - Train: 230 [ 64/65 (100%)] Loss: 0.007579 (0.0080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.17/s LR: 8.397e-05 P_Replacement: 1.0 + +2023-08-10 16:04:24,936 - train: [ INFO] - Test: [ 0/7] Time: 0.990 (0.990) Loss: 0.7739 (0.7739) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:04:26,584 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.330) Loss: 0.6519 (0.7887) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.4943)Acc@5: 96.6667 (92.8736) + +2023-08-10 16:04:28,557 - train: [ INFO] - Train: 231 [ 0/65 ( 0%)] Loss: 0.008201 (0.0082) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.669s, 71.90/s LR: 8.196e-05 P_Replacement: 1.0 + +2023-08-10 16:05:03,987 - train: [ INFO] - Train: 231 [ 50/65 ( 78%)] Loss: 0.007916 (0.0080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.98/s LR: 8.196e-05 P_Replacement: 1.0 + +2023-08-10 16:05:13,919 - train: [ INFO] - Train: 231 [ 64/65 (100%)] Loss: 0.007840 (0.0080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.86/s LR: 8.196e-05 P_Replacement: 1.0 + +2023-08-10 16:05:15,015 - train: [ INFO] - Test: [ 0/7] Time: 0.958 (0.958) Loss: 0.6336 (0.6336) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:05:16,683 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.328) Loss: 1.0076 (0.8083) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (81.2644)Acc@5: 93.3333 (92.9885) + +2023-08-10 16:05:18,655 - train: [ INFO] - Train: 232 [ 0/65 ( 0%)] Loss: 0.007914 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.650s, 72.73/s LR: 7.998e-05 P_Replacement: 1.0 + +2023-08-10 16:05:54,083 - train: [ INFO] - Train: 232 [ 50/65 ( 78%)] Loss: 0.007722 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.07/s LR: 7.998e-05 P_Replacement: 1.0 + +2023-08-10 16:06:03,962 - train: [ INFO] - Train: 232 [ 64/65 (100%)] Loss: 0.008001 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.12/s LR: 7.998e-05 P_Replacement: 1.0 + +2023-08-10 16:06:05,063 - train: [ INFO] - Test: [ 0/7] Time: 0.966 (0.966) Loss: 0.7293 (0.7293) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 95.0000 (95.0000) + +2023-08-10 16:06:06,705 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.326) Loss: 0.8140 (0.8171) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.3793)Acc@5: 90.0000 (92.1839) + +2023-08-10 16:06:08,639 - train: [ INFO] - Train: 233 [ 0/65 ( 0%)] Loss: 0.007557 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.654s, 72.54/s LR: 7.802e-05 P_Replacement: 1.0 + +2023-08-10 16:06:43,889 - train: [ INFO] - Train: 233 [ 50/65 ( 78%)] Loss: 0.007945 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.85/s LR: 7.802e-05 P_Replacement: 1.0 + +2023-08-10 16:06:53,829 - train: [ INFO] - Train: 233 [ 64/65 (100%)] Loss: 0.007694 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.52/s LR: 7.802e-05 P_Replacement: 1.0 + +2023-08-10 16:06:54,917 - train: [ INFO] - Test: [ 0/7] Time: 0.947 (0.947) Loss: 0.6573 (0.6573) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:06:56,532 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.320) Loss: 1.0578 (0.7789) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.4138)Acc@5: 90.0000 (92.4138) + +2023-08-10 16:06:58,542 - train: [ INFO] - Train: 234 [ 0/65 ( 0%)] Loss: 0.007679 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.684s, 71.27/s LR: 7.609e-05 P_Replacement: 1.0 + +2023-08-10 16:07:33,899 - train: [ INFO] - Train: 234 [ 50/65 ( 78%)] Loss: 0.009443 (0.0080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.23/s LR: 7.609e-05 P_Replacement: 1.0 + +2023-08-10 16:07:43,817 - train: [ INFO] - Train: 234 [ 64/65 (100%)] Loss: 0.007452 (0.0080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 7.609e-05 P_Replacement: 1.0 + +2023-08-10 16:07:44,902 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.8159 (0.8159) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 95.0000 (95.0000) + +2023-08-10 16:07:46,488 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.315) Loss: 0.9553 (0.7952) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.8391)Acc@5: 86.6667 (93.2184) + +2023-08-10 16:07:48,341 - train: [ INFO] - Train: 235 [ 0/65 ( 0%)] Loss: 0.032654 (0.0327) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.557s, 77.06/s LR: 7.417e-05 P_Replacement: 1.0 + +2023-08-10 16:08:23,662 - train: [ INFO] - Train: 235 [ 50/65 ( 78%)] Loss: 0.008366 (0.0098) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.96/s LR: 7.417e-05 P_Replacement: 1.0 + +2023-08-10 16:08:33,538 - train: [ INFO] - Train: 235 [ 64/65 (100%)] Loss: 0.008393 (0.0095) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.84/s LR: 7.417e-05 P_Replacement: 1.0 + +2023-08-10 16:08:34,633 - train: [ INFO] - Test: [ 0/7] Time: 0.930 (0.930) Loss: 0.7200 (0.7200) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:08:36,286 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.323) Loss: 0.4867 (0.7873) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.2989)Acc@5: 96.6667 (92.7586) + +2023-08-10 16:08:38,191 - train: [ INFO] - Train: 236 [ 0/65 ( 0%)] Loss: 0.009066 (0.0091) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.624s, 73.88/s LR: 7.229e-05 P_Replacement: 1.0 + +2023-08-10 16:09:13,556 - train: [ INFO] - Train: 236 [ 50/65 ( 78%)] Loss: 0.007624 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.46/s LR: 7.229e-05 P_Replacement: 1.0 + +2023-08-10 16:09:23,489 - train: [ INFO] - Train: 236 [ 64/65 (100%)] Loss: 0.007759 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.24/s LR: 7.229e-05 P_Replacement: 1.0 + +2023-08-10 16:09:24,568 - train: [ INFO] - Test: [ 0/7] Time: 0.975 (0.975) Loss: 0.6864 (0.6864) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:09:26,244 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.331) Loss: 0.2362 (0.7594) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (82.7586)Acc@5: 100.0000 (93.2184) + +2023-08-10 16:09:28,234 - train: [ INFO] - Train: 237 [ 0/65 ( 0%)] Loss: 0.007627 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.679s, 71.46/s LR: 7.043e-05 P_Replacement: 1.0 + +2023-08-10 16:10:03,664 - train: [ INFO] - Train: 237 [ 50/65 ( 78%)] Loss: 0.007612 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.92/s LR: 7.043e-05 P_Replacement: 1.0 + +2023-08-10 16:10:13,560 - train: [ INFO] - Train: 237 [ 64/65 (100%)] Loss: 0.007366 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 7.043e-05 P_Replacement: 1.0 + +2023-08-10 16:10:14,628 - train: [ INFO] - Test: [ 0/7] Time: 0.943 (0.943) Loss: 0.8058 (0.8058) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 90.8333 (90.8333) + +2023-08-10 16:10:16,245 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.320) Loss: 0.7782 (0.7451) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.6437)Acc@5: 90.0000 (93.1035) + +2023-08-10 16:10:18,179 - train: [ INFO] - Train: 238 [ 0/65 ( 0%)] Loss: 0.007574 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.653s, 72.62/s LR: 6.859e-05 P_Replacement: 1.0 + +2023-08-10 16:10:53,421 - train: [ INFO] - Train: 238 [ 50/65 ( 78%)] Loss: 0.007757 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.89/s LR: 6.859e-05 P_Replacement: 1.0 + +2023-08-10 16:11:03,298 - train: [ INFO] - Train: 238 [ 64/65 (100%)] Loss: 0.007606 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.78/s LR: 6.859e-05 P_Replacement: 1.0 + +2023-08-10 16:11:04,520 - train: [ INFO] - Test: [ 0/7] Time: 0.980 (0.980) Loss: 0.9763 (0.9763) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 89.1667 (89.1667) + +2023-08-10 16:11:06,149 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.326) Loss: 0.8864 (0.7772) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (82.4138)Acc@5: 93.3333 (93.1035) + +2023-08-10 16:11:08,095 - train: [ INFO] - Train: 239 [ 0/65 ( 0%)] Loss: 0.007472 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.645s, 72.93/s LR: 6.678e-05 P_Replacement: 1.0 + +2023-08-10 16:11:43,328 - train: [ INFO] - Train: 239 [ 50/65 ( 78%)] Loss: 0.007350 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.96/s LR: 6.678e-05 P_Replacement: 1.0 + +2023-08-10 16:11:53,203 - train: [ INFO] - Train: 239 [ 64/65 (100%)] Loss: 0.007476 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.85/s LR: 6.678e-05 P_Replacement: 1.0 + +2023-08-10 16:11:54,320 - train: [ INFO] - Test: [ 0/7] Time: 0.953 (0.953) Loss: 0.8917 (0.8917) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:11:55,970 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.325) Loss: 1.3023 (0.7561) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (82.1839)Acc@5: 86.6667 (93.7931) + +2023-08-10 16:11:57,898 - train: [ INFO] - Train: 240 [ 0/65 ( 0%)] Loss: 0.007646 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.638s, 73.26/s LR: 6.500e-05 P_Replacement: 1.0 + +2023-08-10 16:12:33,095 - train: [ INFO] - Train: 240 [ 50/65 ( 78%)] Loss: 0.007252 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.15/s LR: 6.500e-05 P_Replacement: 1.0 + +2023-08-10 16:12:42,987 - train: [ INFO] - Train: 240 [ 64/65 (100%)] Loss: 0.007805 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.94/s LR: 6.500e-05 P_Replacement: 1.0 + +2023-08-10 16:12:44,107 - train: [ INFO] - Test: [ 0/7] Time: 0.968 (0.968) Loss: 0.9399 (0.9399) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:12:45,738 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.325) Loss: 0.4032 (0.7712) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (83.3333)Acc@5: 100.0000 (92.7586) + +2023-08-10 16:12:47,608 - train: [ INFO] - Train: 241 [ 0/65 ( 0%)] Loss: 0.007054 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.569s, 76.48/s LR: 6.324e-05 P_Replacement: 1.0 + +2023-08-10 16:13:22,848 - train: [ INFO] - Train: 241 [ 50/65 ( 78%)] Loss: 0.007081 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.27/s LR: 6.324e-05 P_Replacement: 1.0 + +2023-08-10 16:13:32,742 - train: [ INFO] - Train: 241 [ 64/65 (100%)] Loss: 0.007046 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.02/s LR: 6.324e-05 P_Replacement: 1.0 + +2023-08-10 16:13:33,828 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 0.6686 (0.6686) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:13:35,481 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.322) Loss: 1.0645 (0.7967) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.9540)Acc@5: 90.0000 (92.6437) + +2023-08-10 16:13:37,329 - train: [ INFO] - Train: 242 [ 0/65 ( 0%)] Loss: 0.007180 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.561s, 76.86/s LR: 6.150e-05 P_Replacement: 1.0 + +2023-08-10 16:14:12,657 - train: [ INFO] - Train: 242 [ 50/65 ( 78%)] Loss: 0.009173 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.91/s LR: 6.150e-05 P_Replacement: 1.0 + +2023-08-10 16:14:22,563 - train: [ INFO] - Train: 242 [ 64/65 (100%)] Loss: 0.007301 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.69/s LR: 6.150e-05 P_Replacement: 1.0 + +2023-08-10 16:14:23,682 - train: [ INFO] - Test: [ 0/7] Time: 0.945 (0.945) Loss: 0.7825 (0.7825) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:14:25,343 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.326) Loss: 0.6433 (0.7772) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.2989)Acc@5: 90.0000 (93.4483) + +2023-08-10 16:14:27,200 - train: [ INFO] - Train: 243 [ 0/65 ( 0%)] Loss: 0.007610 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.546s, 77.61/s LR: 5.980e-05 P_Replacement: 1.0 + +2023-08-10 16:15:02,578 - train: [ INFO] - Train: 243 [ 50/65 ( 78%)] Loss: 0.006694 (0.0074) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.76/s LR: 5.980e-05 P_Replacement: 1.0 + +2023-08-10 16:15:12,405 - train: [ INFO] - Train: 243 [ 64/65 (100%)] Loss: 0.007042 (0.0074) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.85/s LR: 5.980e-05 P_Replacement: 1.0 + +2023-08-10 16:15:13,557 - train: [ INFO] - Test: [ 0/7] Time: 0.993 (0.993) Loss: 0.8615 (0.8615) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:15:15,213 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.331) Loss: 0.5149 (0.7914) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.4943)Acc@5: 96.6667 (92.5287) + +2023-08-10 16:15:17,141 - train: [ INFO] - Train: 244 [ 0/65 ( 0%)] Loss: 0.007913 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.656s, 72.48/s LR: 5.811e-05 P_Replacement: 1.0 + +2023-08-10 16:15:52,378 - train: [ INFO] - Train: 244 [ 50/65 ( 78%)] Loss: 0.007405 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 5.811e-05 P_Replacement: 1.0 + +2023-08-10 16:16:02,315 - train: [ INFO] - Train: 244 [ 64/65 (100%)] Loss: 0.007409 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.57/s LR: 5.811e-05 P_Replacement: 1.0 + +2023-08-10 16:16:03,420 - train: [ INFO] - Test: [ 0/7] Time: 0.941 (0.941) Loss: 0.7861 (0.7861) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:16:05,049 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.321) Loss: 0.8158 (0.7478) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (83.5632)Acc@5: 96.6667 (93.4483) + +2023-08-10 16:16:05,317 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/checkpoint-244.pth.tar', 83.56322242473733) + +2023-08-10 16:16:06,966 - train: [ INFO] - Train: 245 [ 0/65 ( 0%)] Loss: 0.007077 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.634s, 73.43/s LR: 5.646e-05 P_Replacement: 1.0 + +2023-08-10 16:16:42,162 - train: [ INFO] - Train: 245 [ 50/65 ( 78%)] Loss: 0.007068 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.18/s LR: 5.646e-05 P_Replacement: 1.0 + +2023-08-10 16:16:52,081 - train: [ INFO] - Train: 245 [ 64/65 (100%)] Loss: 0.008029 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.86/s LR: 5.646e-05 P_Replacement: 1.0 + +2023-08-10 16:16:53,136 - train: [ INFO] - Test: [ 0/7] Time: 0.920 (0.920) Loss: 0.8097 (0.8097) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:16:54,734 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.315) Loss: 0.7883 (0.7893) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.3793)Acc@5: 90.0000 (92.9885) + +2023-08-10 16:16:56,686 - train: [ INFO] - Train: 246 [ 0/65 ( 0%)] Loss: 0.007208 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.667s, 72.00/s LR: 5.483e-05 P_Replacement: 1.0 + +2023-08-10 16:17:32,054 - train: [ INFO] - Train: 246 [ 50/65 ( 78%)] Loss: 0.007424 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.26/s LR: 5.483e-05 P_Replacement: 1.0 + +2023-08-10 16:17:41,920 - train: [ INFO] - Train: 246 [ 64/65 (100%)] Loss: 0.007197 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.32/s LR: 5.483e-05 P_Replacement: 1.0 + +2023-08-10 16:17:43,036 - train: [ INFO] - Test: [ 0/7] Time: 0.956 (0.956) Loss: 0.7644 (0.7644) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:17:44,658 - train: [ INFO] - Test: [ 7/7] Time: 0.089 (0.322) Loss: 1.0063 (0.7758) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (83.2184)Acc@5: 90.0000 (92.9885) + +2023-08-10 16:17:46,602 - train: [ INFO] - Train: 247 [ 0/65 ( 0%)] Loss: 0.007315 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.659s, 72.33/s LR: 5.323e-05 P_Replacement: 1.0 + +2023-08-10 16:18:21,856 - train: [ INFO] - Train: 247 [ 50/65 ( 78%)] Loss: 0.006879 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.80/s LR: 5.323e-05 P_Replacement: 1.0 + +2023-08-10 16:18:31,800 - train: [ INFO] - Train: 247 [ 64/65 (100%)] Loss: 0.007119 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.47/s LR: 5.323e-05 P_Replacement: 1.0 + +2023-08-10 16:18:32,857 - train: [ INFO] - Test: [ 0/7] Time: 0.904 (0.904) Loss: 0.9163 (0.9163) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 90.8333 (90.8333) + +2023-08-10 16:18:34,486 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.317) Loss: 1.0473 (0.7623) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.8736)Acc@5: 86.6667 (93.4483) + +2023-08-10 16:18:36,349 - train: [ INFO] - Train: 248 [ 0/65 ( 0%)] Loss: 0.007868 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.620s, 74.08/s LR: 5.165e-05 P_Replacement: 1.0 + +2023-08-10 16:19:11,686 - train: [ INFO] - Train: 248 [ 50/65 ( 78%)] Loss: 0.006948 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.61/s LR: 5.165e-05 P_Replacement: 1.0 + +2023-08-10 16:19:21,622 - train: [ INFO] - Train: 248 [ 64/65 (100%)] Loss: 0.007071 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.35/s LR: 5.165e-05 P_Replacement: 1.0 + +2023-08-10 16:19:22,761 - train: [ INFO] - Test: [ 0/7] Time: 0.990 (0.990) Loss: 0.9151 (0.9151) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 90.8333 (90.8333) + +2023-08-10 16:19:24,360 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.324) Loss: 0.4479 (0.7867) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.4943)Acc@5: 100.0000 (92.8736) + +2023-08-10 16:19:26,354 - train: [ INFO] - Train: 249 [ 0/65 ( 0%)] Loss: 0.007549 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.682s, 71.36/s LR: 5.010e-05 P_Replacement: 1.0 + +2023-08-10 16:20:01,801 - train: [ INFO] - Train: 249 [ 50/65 ( 78%)] Loss: 0.007091 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.84/s LR: 5.010e-05 P_Replacement: 1.0 + +2023-08-10 16:20:11,717 - train: [ INFO] - Train: 249 [ 64/65 (100%)] Loss: 0.007233 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.81/s LR: 5.010e-05 P_Replacement: 1.0 + +2023-08-10 16:20:12,860 - train: [ INFO] - Test: [ 0/7] Time: 0.981 (0.981) Loss: 0.8536 (0.8536) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 91.6667 (91.6667) + +2023-08-10 16:20:14,519 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.330) Loss: 0.3938 (0.7812) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (82.0690)Acc@5: 96.6667 (92.7586) + +2023-08-10 16:20:16,435 - train: [ INFO] - Train: 250 [ 0/65 ( 0%)] Loss: 0.007147 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.651s, 72.67/s LR: 4.858e-05 P_Replacement: 1.0 + +2023-08-10 16:20:51,780 - train: [ INFO] - Train: 250 [ 50/65 ( 78%)] Loss: 0.006881 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.43/s LR: 4.858e-05 P_Replacement: 1.0 + +2023-08-10 16:21:01,672 - train: [ INFO] - Train: 250 [ 64/65 (100%)] Loss: 0.008584 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 4.858e-05 P_Replacement: 1.0 + +2023-08-10 16:21:02,773 - train: [ INFO] - Test: [ 0/7] Time: 0.953 (0.953) Loss: 0.5773 (0.5773) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:21:04,476 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.332) Loss: 0.6428 (0.8047) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.7241)Acc@5: 93.3333 (92.5287) + +2023-08-10 16:21:06,417 - train: [ INFO] - Train: 251 [ 0/65 ( 0%)] Loss: 0.006877 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.629s, 73.68/s LR: 4.709e-05 P_Replacement: 1.0 + +2023-08-10 16:21:41,790 - train: [ INFO] - Train: 251 [ 50/65 ( 78%)] Loss: 0.006737 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.41/s LR: 4.709e-05 P_Replacement: 1.0 + +2023-08-10 16:21:51,681 - train: [ INFO] - Train: 251 [ 64/65 (100%)] Loss: 0.007245 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.35/s LR: 4.709e-05 P_Replacement: 1.0 + +2023-08-10 16:21:52,803 - train: [ INFO] - Test: [ 0/7] Time: 0.978 (0.978) Loss: 0.7223 (0.7223) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:21:54,480 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.332) Loss: 1.0213 (0.7671) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (82.5287)Acc@5: 90.0000 (93.2184) + +2023-08-10 16:21:56,311 - train: [ INFO] - Train: 252 [ 0/65 ( 0%)] Loss: 0.006724 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.533s, 78.27/s LR: 4.562e-05 P_Replacement: 1.0 + +2023-08-10 16:22:31,797 - train: [ INFO] - Train: 252 [ 50/65 ( 78%)] Loss: 0.006943 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.33/s LR: 4.562e-05 P_Replacement: 1.0 + +2023-08-10 16:22:41,692 - train: [ INFO] - Train: 252 [ 64/65 (100%)] Loss: 0.007005 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.27/s LR: 4.562e-05 P_Replacement: 1.0 + +2023-08-10 16:22:42,760 - train: [ INFO] - Test: [ 0/7] Time: 0.921 (0.921) Loss: 0.7713 (0.7713) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:22:44,339 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.313) Loss: 0.7831 (0.7764) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.2989)Acc@5: 86.6667 (93.1035) + +2023-08-10 16:22:46,190 - train: [ INFO] - Train: 253 [ 0/65 ( 0%)] Loss: 0.007266 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.557s, 77.06/s LR: 4.418e-05 P_Replacement: 1.0 + +2023-08-10 16:23:21,591 - train: [ INFO] - Train: 253 [ 50/65 ( 78%)] Loss: 0.006950 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.60/s LR: 4.418e-05 P_Replacement: 1.0 + +2023-08-10 16:23:31,545 - train: [ INFO] - Train: 253 [ 64/65 (100%)] Loss: 0.006769 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.28/s LR: 4.418e-05 P_Replacement: 1.0 + +2023-08-10 16:23:32,699 - train: [ INFO] - Test: [ 0/7] Time: 0.958 (0.958) Loss: 0.9429 (0.9429) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:23:34,335 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.324) Loss: 0.4302 (0.7699) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (81.9540)Acc@5: 96.6667 (93.4483) + +2023-08-10 16:23:36,304 - train: [ INFO] - Train: 254 [ 0/65 ( 0%)] Loss: 0.007368 (0.0074) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.647s, 72.84/s LR: 4.277e-05 P_Replacement: 1.0 + +2023-08-10 16:24:11,632 - train: [ INFO] - Train: 254 [ 50/65 ( 78%)] Loss: 0.006671 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.52/s LR: 4.277e-05 P_Replacement: 1.0 + +2023-08-10 16:24:21,549 - train: [ INFO] - Train: 254 [ 64/65 (100%)] Loss: 0.007163 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.35/s LR: 4.277e-05 P_Replacement: 1.0 + +2023-08-10 16:24:22,748 - train: [ INFO] - Test: [ 0/7] Time: 0.979 (0.979) Loss: 0.8653 (0.8653) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 90.8333 (90.8333) + +2023-08-10 16:24:24,406 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.330) Loss: 0.7914 (0.7908) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (81.4943)Acc@5: 96.6667 (92.7586) + +2023-08-10 16:24:26,268 - train: [ INFO] - Train: 255 [ 0/65 ( 0%)] Loss: 0.006784 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.568s, 76.53/s LR: 4.139e-05 P_Replacement: 1.0 + +2023-08-10 16:25:01,696 - train: [ INFO] - Train: 255 [ 50/65 ( 78%)] Loss: 0.007264 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.43/s LR: 4.139e-05 P_Replacement: 1.0 + +2023-08-10 16:25:11,640 - train: [ INFO] - Train: 255 [ 64/65 (100%)] Loss: 0.007026 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.18/s LR: 4.139e-05 P_Replacement: 1.0 + +2023-08-10 16:25:12,724 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 0.6697 (0.6697) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:25:14,388 - train: [ INFO] - Test: [ 7/7] Time: 0.073 (0.326) Loss: 1.2934 (0.7577) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (82.9885)Acc@5: 86.6667 (93.3333) + +2023-08-10 16:25:16,332 - train: [ INFO] - Train: 256 [ 0/65 ( 0%)] Loss: 0.007017 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.648s, 72.81/s LR: 4.003e-05 P_Replacement: 1.0 + +2023-08-10 16:25:51,670 - train: [ INFO] - Train: 256 [ 50/65 ( 78%)] Loss: 0.006808 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.48/s LR: 4.003e-05 P_Replacement: 1.0 + +2023-08-10 16:26:01,563 - train: [ INFO] - Train: 256 [ 64/65 (100%)] Loss: 0.007002 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.40/s LR: 4.003e-05 P_Replacement: 1.0 + +2023-08-10 16:26:02,668 - train: [ INFO] - Test: [ 0/7] Time: 0.973 (0.973) Loss: 0.7953 (0.7953) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:26:04,343 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.331) Loss: 1.0175 (0.7678) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (83.2184)Acc@5: 86.6667 (92.8736) + +2023-08-10 16:26:06,269 - train: [ INFO] - Train: 257 [ 0/65 ( 0%)] Loss: 0.007269 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.634s, 73.44/s LR: 3.871e-05 P_Replacement: 1.0 + +2023-08-10 16:26:41,647 - train: [ INFO] - Train: 257 [ 50/65 ( 78%)] Loss: 0.006597 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.36/s LR: 3.871e-05 P_Replacement: 1.0 + +2023-08-10 16:26:51,601 - train: [ INFO] - Train: 257 [ 64/65 (100%)] Loss: 0.007129 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.09/s LR: 3.871e-05 P_Replacement: 1.0 + +2023-08-10 16:26:52,734 - train: [ INFO] - Test: [ 0/7] Time: 1.004 (1.004) Loss: 0.8789 (0.8789) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 91.6667 (91.6667) + +2023-08-10 16:26:54,311 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.323) Loss: 0.4195 (0.7708) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (81.8391)Acc@5: 96.6667 (92.6437) + +2023-08-10 16:26:56,174 - train: [ INFO] - Train: 258 [ 0/65 ( 0%)] Loss: 0.006956 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.534s, 78.24/s LR: 3.741e-05 P_Replacement: 1.0 + +2023-08-10 16:27:31,515 - train: [ INFO] - Train: 258 [ 50/65 ( 78%)] Loss: 0.006667 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.98/s LR: 3.741e-05 P_Replacement: 1.0 + +2023-08-10 16:27:41,423 - train: [ INFO] - Train: 258 [ 64/65 (100%)] Loss: 0.007109 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.74/s LR: 3.741e-05 P_Replacement: 1.0 + +2023-08-10 16:27:42,484 - train: [ INFO] - Test: [ 0/7] Time: 0.911 (0.911) Loss: 0.9113 (0.9113) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:27:44,125 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.319) Loss: 0.7717 (0.7633) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.5287)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:27:45,974 - train: [ INFO] - Train: 259 [ 0/65 ( 0%)] Loss: 0.006774 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.563s, 76.76/s LR: 3.614e-05 P_Replacement: 1.0 + +2023-08-10 16:28:21,414 - train: [ INFO] - Train: 259 [ 50/65 ( 78%)] Loss: 0.006571 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.40/s LR: 3.614e-05 P_Replacement: 1.0 + +2023-08-10 16:28:31,331 - train: [ INFO] - Train: 259 [ 64/65 (100%)] Loss: 0.006986 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.25/s LR: 3.614e-05 P_Replacement: 1.0 + +2023-08-10 16:28:32,427 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 0.7341 (0.7341) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 95.0000 (95.0000) + +2023-08-10 16:28:34,124 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.330) Loss: 0.7899 (0.7887) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.7241)Acc@5: 90.0000 (92.9885) + +2023-08-10 16:28:36,047 - train: [ INFO] - Train: 260 [ 0/65 ( 0%)] Loss: 0.006715 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.595s, 75.22/s LR: 3.490e-05 P_Replacement: 1.0 + +2023-08-10 16:29:11,547 - train: [ INFO] - Train: 260 [ 50/65 ( 78%)] Loss: 0.007471 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.99/s LR: 3.490e-05 P_Replacement: 1.0 + +2023-08-10 16:29:21,529 - train: [ INFO] - Train: 260 [ 64/65 (100%)] Loss: 0.006835 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.70/s LR: 3.490e-05 P_Replacement: 1.0 + +2023-08-10 16:29:22,632 - train: [ INFO] - Test: [ 0/7] Time: 0.930 (0.930) Loss: 0.7980 (0.7980) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:29:24,223 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.315) Loss: 0.7994 (0.7655) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.9885)Acc@5: 96.6667 (93.4483) + +2023-08-10 16:29:26,065 - train: [ INFO] - Train: 261 [ 0/65 ( 0%)] Loss: 0.006975 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.534s, 78.21/s LR: 3.368e-05 P_Replacement: 1.0 + +2023-08-10 16:30:01,385 - train: [ INFO] - Train: 261 [ 50/65 ( 78%)] Loss: 0.006873 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.06/s LR: 3.368e-05 P_Replacement: 1.0 + +2023-08-10 16:30:11,314 - train: [ INFO] - Train: 261 [ 64/65 (100%)] Loss: 0.006678 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.73/s LR: 3.368e-05 P_Replacement: 1.0 + +2023-08-10 16:30:12,461 - train: [ INFO] - Test: [ 0/7] Time: 0.981 (0.981) Loss: 0.9564 (0.9564) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 88.3333 (88.3333) + +2023-08-10 16:30:14,090 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.326) Loss: 0.3102 (0.7626) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (83.4483)Acc@5: 96.6667 (92.8736) + +2023-08-10 16:30:16,086 - train: [ INFO] - Train: 262 [ 0/65 ( 0%)] Loss: 0.006832 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.710s, 70.19/s LR: 3.250e-05 P_Replacement: 1.0 + +2023-08-10 16:30:51,540 - train: [ INFO] - Train: 262 [ 50/65 ( 78%)] Loss: 0.006997 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.69/s LR: 3.250e-05 P_Replacement: 1.0 + +2023-08-10 16:31:01,537 - train: [ INFO] - Train: 262 [ 64/65 (100%)] Loss: 0.007261 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.40/s LR: 3.250e-05 P_Replacement: 1.0 + +2023-08-10 16:31:02,645 - train: [ INFO] - Test: [ 0/7] Time: 0.960 (0.960) Loss: 0.5478 (0.5478) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.0000 (95.0000) + +2023-08-10 16:31:04,334 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.331) Loss: 0.9188 (0.7781) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.1839)Acc@5: 93.3333 (92.9885) + +2023-08-10 16:31:06,274 - train: [ INFO] - Train: 263 [ 0/65 ( 0%)] Loss: 0.006745 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.690s, 71.01/s LR: 3.135e-05 P_Replacement: 1.0 + +2023-08-10 16:31:41,689 - train: [ INFO] - Train: 263 [ 50/65 ( 78%)] Loss: 0.006721 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.95/s LR: 3.135e-05 P_Replacement: 1.0 + +2023-08-10 16:31:51,578 - train: [ INFO] - Train: 263 [ 64/65 (100%)] Loss: 0.006906 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.99/s LR: 3.135e-05 P_Replacement: 1.0 + +2023-08-10 16:31:52,662 - train: [ INFO] - Test: [ 0/7] Time: 0.946 (0.946) Loss: 0.6464 (0.6464) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:31:54,354 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.330) Loss: 0.8039 (0.7809) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.1839)Acc@5: 93.3333 (92.2989) + +2023-08-10 16:31:56,182 - train: [ INFO] - Train: 264 [ 0/65 ( 0%)] Loss: 0.006527 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.537s, 78.09/s LR: 3.022e-05 P_Replacement: 1.0 + +2023-08-10 16:32:31,565 - train: [ INFO] - Train: 264 [ 50/65 ( 78%)] Loss: 0.007194 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.79/s LR: 3.022e-05 P_Replacement: 1.0 + +2023-08-10 16:32:41,503 - train: [ INFO] - Train: 264 [ 64/65 (100%)] Loss: 0.006650 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.49/s LR: 3.022e-05 P_Replacement: 1.0 + +2023-08-10 16:32:42,572 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.7448 (0.7448) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:32:44,258 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.328) Loss: 1.2229 (0.7864) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (81.4943)Acc@5: 90.0000 (92.6437) + +2023-08-10 16:32:46,104 - train: [ INFO] - Train: 265 [ 0/65 ( 0%)] Loss: 0.006505 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.591s, 75.44/s LR: 2.913e-05 P_Replacement: 1.0 + +2023-08-10 16:33:21,484 - train: [ INFO] - Train: 265 [ 50/65 ( 78%)] Loss: 0.006482 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.55/s LR: 2.913e-05 P_Replacement: 1.0 + +2023-08-10 16:33:31,430 - train: [ INFO] - Train: 265 [ 64/65 (100%)] Loss: 0.006830 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.26/s LR: 2.913e-05 P_Replacement: 1.0 + +2023-08-10 16:33:32,476 - train: [ INFO] - Test: [ 0/7] Time: 0.919 (0.919) Loss: 0.7726 (0.7726) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 90.0000 (90.0000) + +2023-08-10 16:33:34,020 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.308) Loss: 1.0631 (0.7942) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (81.6092)Acc@5: 83.3333 (92.5287) + +2023-08-10 16:33:35,956 - train: [ INFO] - Train: 266 [ 0/65 ( 0%)] Loss: 0.006777 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.647s, 72.88/s LR: 2.806e-05 P_Replacement: 1.0 + +2023-08-10 16:34:11,374 - train: [ INFO] - Train: 266 [ 50/65 ( 78%)] Loss: 0.006945 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.13/s LR: 2.806e-05 P_Replacement: 1.0 + +2023-08-10 16:34:21,351 - train: [ INFO] - Train: 266 [ 64/65 (100%)] Loss: 0.006620 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.82/s LR: 2.806e-05 P_Replacement: 1.0 + +2023-08-10 16:34:22,443 - train: [ INFO] - Test: [ 0/7] Time: 0.963 (0.963) Loss: 0.9011 (0.9011) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-10 16:34:24,088 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.326) Loss: 0.6989 (0.8085) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.1494)Acc@5: 100.0000 (92.7586) + +2023-08-10 16:34:26,082 - train: [ INFO] - Train: 267 [ 0/65 ( 0%)] Loss: 0.006561 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.687s, 71.14/s LR: 2.702e-05 P_Replacement: 1.0 + +2023-08-10 16:35:01,522 - train: [ INFO] - Train: 267 [ 50/65 ( 78%)] Loss: 0.006408 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.85/s LR: 2.702e-05 P_Replacement: 1.0 + +2023-08-10 16:35:11,404 - train: [ INFO] - Train: 267 [ 64/65 (100%)] Loss: 0.006589 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 2.702e-05 P_Replacement: 1.0 + +2023-08-10 16:35:12,527 - train: [ INFO] - Test: [ 0/7] Time: 0.961 (0.961) Loss: 0.9394 (0.9394) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:35:14,160 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.324) Loss: 0.4444 (0.7786) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (82.7586)Acc@5: 96.6667 (93.1035) + +2023-08-10 16:35:16,126 - train: [ INFO] - Train: 268 [ 0/65 ( 0%)] Loss: 0.006548 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.659s, 72.33/s LR: 2.602e-05 P_Replacement: 1.0 + +2023-08-10 16:35:51,612 - train: [ INFO] - Train: 268 [ 50/65 ( 78%)] Loss: 0.007143 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.77/s LR: 2.602e-05 P_Replacement: 1.0 + +2023-08-10 16:36:01,518 - train: [ INFO] - Train: 268 [ 64/65 (100%)] Loss: 0.006668 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.79/s LR: 2.602e-05 P_Replacement: 1.0 + +2023-08-10 16:36:02,669 - train: [ INFO] - Test: [ 0/7] Time: 0.990 (0.990) Loss: 0.6833 (0.6833) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:36:04,311 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.329) Loss: 1.1709 (0.7655) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (82.7586)Acc@5: 83.3333 (93.2184) + +2023-08-10 16:36:06,211 - train: [ INFO] - Train: 269 [ 0/65 ( 0%)] Loss: 0.006526 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.629s, 73.66/s LR: 2.504e-05 P_Replacement: 1.0 + +2023-08-10 16:36:41,657 - train: [ INFO] - Train: 269 [ 50/65 ( 78%)] Loss: 0.006478 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.08/s LR: 2.504e-05 P_Replacement: 1.0 + +2023-08-10 16:36:51,592 - train: [ INFO] - Train: 269 [ 64/65 (100%)] Loss: 0.006274 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.93/s LR: 2.504e-05 P_Replacement: 1.0 + +2023-08-10 16:36:52,730 - train: [ INFO] - Test: [ 0/7] Time: 0.973 (0.973) Loss: 0.7428 (0.7428) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:36:54,352 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.325) Loss: 0.4805 (0.7660) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (82.5287)Acc@5: 96.6667 (93.1035) + +2023-08-10 16:36:56,315 - train: [ INFO] - Train: 270 [ 0/65 ( 0%)] Loss: 0.006545 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.642s, 73.09/s LR: 2.409e-05 P_Replacement: 1.0 + +2023-08-10 16:37:31,789 - train: [ INFO] - Train: 270 [ 50/65 ( 78%)] Loss: 0.006461 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.90/s LR: 2.409e-05 P_Replacement: 1.0 + +2023-08-10 16:37:41,804 - train: [ INFO] - Train: 270 [ 64/65 (100%)] Loss: 0.006808 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.50/s LR: 2.409e-05 P_Replacement: 1.0 + +2023-08-10 16:37:42,918 - train: [ INFO] - Test: [ 0/7] Time: 0.955 (0.955) Loss: 0.8316 (0.8316) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 90.8333 (90.8333) + +2023-08-10 16:37:44,603 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.330) Loss: 0.6011 (0.7721) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.4943)Acc@5: 96.6667 (93.3333) + +2023-08-10 16:37:46,443 - train: [ INFO] - Train: 271 [ 0/65 ( 0%)] Loss: 0.006600 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.523s, 78.80/s LR: 2.318e-05 P_Replacement: 1.0 + +2023-08-10 16:38:21,851 - train: [ INFO] - Train: 271 [ 50/65 ( 78%)] Loss: 0.006331 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.72/s LR: 2.318e-05 P_Replacement: 1.0 + +2023-08-10 16:38:31,784 - train: [ INFO] - Train: 271 [ 64/65 (100%)] Loss: 0.006647 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.45/s LR: 2.318e-05 P_Replacement: 1.0 + +2023-08-10 16:38:32,890 - train: [ INFO] - Test: [ 0/7] Time: 0.947 (0.947) Loss: 0.6505 (0.6505) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:38:34,534 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.324) Loss: 0.3107 (0.7616) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (82.7586)Acc@5: 93.3333 (93.1035) + +2023-08-10 16:38:36,486 - train: [ INFO] - Train: 272 [ 0/65 ( 0%)] Loss: 0.006522 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.640s, 73.19/s LR: 2.229e-05 P_Replacement: 1.0 + +2023-08-10 16:39:11,971 - train: [ INFO] - Train: 272 [ 50/65 ( 78%)] Loss: 0.006418 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.87/s LR: 2.229e-05 P_Replacement: 1.0 + +2023-08-10 16:39:21,926 - train: [ INFO] - Train: 272 [ 64/65 (100%)] Loss: 0.006682 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.69/s LR: 2.229e-05 P_Replacement: 1.0 + +2023-08-10 16:39:23,037 - train: [ INFO] - Test: [ 0/7] Time: 0.938 (0.938) Loss: 0.8894 (0.8894) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:39:24,653 - train: [ INFO] - Test: [ 7/7] Time: 0.075 (0.319) Loss: 0.8372 (0.7479) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (83.2184)Acc@5: 90.0000 (93.6782) + +2023-08-10 16:39:26,568 - train: [ INFO] - Train: 273 [ 0/65 ( 0%)] Loss: 0.006360 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.616s, 74.24/s LR: 2.143e-05 P_Replacement: 1.0 + +2023-08-10 16:40:01,972 - train: [ INFO] - Train: 273 [ 50/65 ( 78%)] Loss: 0.007512 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.33/s LR: 2.143e-05 P_Replacement: 1.0 + +2023-08-10 16:40:11,829 - train: [ INFO] - Train: 273 [ 64/65 (100%)] Loss: 0.006419 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.40/s LR: 2.143e-05 P_Replacement: 1.0 + +2023-08-10 16:40:12,937 - train: [ INFO] - Test: [ 0/7] Time: 0.983 (0.983) Loss: 0.7986 (0.7986) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:40:14,608 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.332) Loss: 0.4469 (0.7589) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.6437)Acc@5: 96.6667 (92.8736) + +2023-08-10 16:40:16,431 - train: [ INFO] - Train: 274 [ 0/65 ( 0%)] Loss: 0.006906 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.570s, 76.45/s LR: 2.061e-05 P_Replacement: 1.0 + +2023-08-10 16:40:51,875 - train: [ INFO] - Train: 274 [ 50/65 ( 78%)] Loss: 0.006495 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.35/s LR: 2.061e-05 P_Replacement: 1.0 + +2023-08-10 16:41:01,821 - train: [ INFO] - Train: 274 [ 64/65 (100%)] Loss: 0.006513 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 2.061e-05 P_Replacement: 1.0 + +2023-08-10 16:41:02,943 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 0.6835 (0.6835) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.0000 (95.0000) + +2023-08-10 16:41:04,612 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.324) Loss: 0.5755 (0.7684) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.2989)Acc@5: 96.6667 (93.1035) + +2023-08-10 16:41:06,425 - train: [ INFO] - Train: 275 [ 0/65 ( 0%)] Loss: 0.006159 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.570s, 76.42/s LR: 1.981e-05 P_Replacement: 1.0 + +2023-08-10 16:41:41,898 - train: [ INFO] - Train: 275 [ 50/65 ( 78%)] Loss: 0.006500 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.22/s LR: 1.981e-05 P_Replacement: 1.0 + +2023-08-10 16:41:51,861 - train: [ INFO] - Train: 275 [ 64/65 (100%)] Loss: 0.006595 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 1.981e-05 P_Replacement: 1.0 + +2023-08-10 16:41:52,929 - train: [ INFO] - Test: [ 0/7] Time: 0.947 (0.947) Loss: 0.6115 (0.6115) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:41:54,593 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.326) Loss: 1.2800 (0.7705) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (82.2989)Acc@5: 86.6667 (93.2184) + +2023-08-10 16:41:56,541 - train: [ INFO] - Train: 276 [ 0/65 ( 0%)] Loss: 0.006249 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.641s, 73.14/s LR: 1.905e-05 P_Replacement: 1.0 + +2023-08-10 16:42:31,954 - train: [ INFO] - Train: 276 [ 50/65 ( 78%)] Loss: 0.006530 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.18/s LR: 1.905e-05 P_Replacement: 1.0 + +2023-08-10 16:42:41,881 - train: [ INFO] - Train: 276 [ 64/65 (100%)] Loss: 0.007959 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 1.905e-05 P_Replacement: 1.0 + +2023-08-10 16:42:43,007 - train: [ INFO] - Test: [ 0/7] Time: 0.962 (0.962) Loss: 0.9013 (0.9013) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:42:44,630 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.323) Loss: 0.9356 (0.7860) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.5287)Acc@5: 93.3333 (92.7586) + +2023-08-10 16:42:46,498 - train: [ INFO] - Train: 277 [ 0/65 ( 0%)] Loss: 0.006203 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.583s, 75.80/s LR: 1.831e-05 P_Replacement: 1.0 + +2023-08-10 16:43:21,927 - train: [ INFO] - Train: 277 [ 50/65 ( 78%)] Loss: 0.006222 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.36/s LR: 1.831e-05 P_Replacement: 1.0 + +2023-08-10 16:43:31,880 - train: [ INFO] - Train: 277 [ 64/65 (100%)] Loss: 0.006197 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.09/s LR: 1.831e-05 P_Replacement: 1.0 + +2023-08-10 16:43:33,021 - train: [ INFO] - Test: [ 0/7] Time: 0.990 (0.990) Loss: 0.8820 (0.8820) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:43:34,636 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.326) Loss: 1.1928 (0.7589) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (83.1035)Acc@5: 90.0000 (93.6782) + +2023-08-10 16:43:36,511 - train: [ INFO] - Train: 278 [ 0/65 ( 0%)] Loss: 0.006402 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.558s, 77.02/s LR: 1.761e-05 P_Replacement: 1.0 + +2023-08-10 16:44:11,915 - train: [ INFO] - Train: 278 [ 50/65 ( 78%)] Loss: 0.006960 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.59/s LR: 1.761e-05 P_Replacement: 1.0 + +2023-08-10 16:44:21,798 - train: [ INFO] - Train: 278 [ 64/65 (100%)] Loss: 0.006397 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.52/s LR: 1.761e-05 P_Replacement: 1.0 + +2023-08-10 16:44:22,888 - train: [ INFO] - Test: [ 0/7] Time: 0.954 (0.954) Loss: 0.7317 (0.7317) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:44:24,528 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.324) Loss: 0.3609 (0.7649) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (82.5287)Acc@5: 100.0000 (92.8736) + +2023-08-10 16:44:26,509 - train: [ INFO] - Train: 279 [ 0/65 ( 0%)] Loss: 0.006282 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.676s, 71.59/s LR: 1.694e-05 P_Replacement: 1.0 + +2023-08-10 16:45:01,902 - train: [ INFO] - Train: 279 [ 50/65 ( 78%)] Loss: 0.006489 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.11/s LR: 1.694e-05 P_Replacement: 1.0 + +2023-08-10 16:45:11,853 - train: [ INFO] - Train: 279 [ 64/65 (100%)] Loss: 0.006445 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.90/s LR: 1.694e-05 P_Replacement: 1.0 + +2023-08-10 16:45:12,936 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 0.8482 (0.8482) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:45:14,533 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.317) Loss: 0.5395 (0.7615) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (83.1035)Acc@5: 96.6667 (93.2184) + +2023-08-10 16:45:16,417 - train: [ INFO] - Train: 280 [ 0/65 ( 0%)] Loss: 0.006867 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.587s, 75.63/s LR: 1.629e-05 P_Replacement: 1.0 + +2023-08-10 16:45:51,857 - train: [ INFO] - Train: 280 [ 50/65 ( 78%)] Loss: 0.006390 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.29/s LR: 1.629e-05 P_Replacement: 1.0 + +2023-08-10 16:46:01,753 - train: [ INFO] - Train: 280 [ 64/65 (100%)] Loss: 0.006249 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.24/s LR: 1.629e-05 P_Replacement: 1.0 + +2023-08-10 16:46:02,838 - train: [ INFO] - Test: [ 0/7] Time: 0.920 (0.920) Loss: 0.7563 (0.7563) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:46:04,516 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.325) Loss: 0.9548 (0.8079) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.8391)Acc@5: 90.0000 (92.4138) + +2023-08-10 16:46:06,390 - train: [ INFO] - Train: 281 [ 0/65 ( 0%)] Loss: 0.006583 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.598s, 75.11/s LR: 1.568e-05 P_Replacement: 1.0 + +2023-08-10 16:46:41,811 - train: [ INFO] - Train: 281 [ 50/65 ( 78%)] Loss: 0.006422 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.34/s LR: 1.568e-05 P_Replacement: 1.0 + +2023-08-10 16:46:51,738 - train: [ INFO] - Train: 281 [ 64/65 (100%)] Loss: 0.006302 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.16/s LR: 1.568e-05 P_Replacement: 1.0 + +2023-08-10 16:46:52,813 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 0.8168 (0.8168) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 91.6667 (91.6667) + +2023-08-10 16:46:54,506 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.329) Loss: 0.7450 (0.7625) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.9885)Acc@5: 96.6667 (93.4483) + +2023-08-10 16:46:56,513 - train: [ INFO] - Train: 282 [ 0/65 ( 0%)] Loss: 0.006252 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.734s, 69.21/s LR: 1.510e-05 P_Replacement: 1.0 + +2023-08-10 16:47:32,072 - train: [ INFO] - Train: 282 [ 50/65 ( 78%)] Loss: 0.006041 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.11/s LR: 1.510e-05 P_Replacement: 1.0 + +2023-08-10 16:47:42,070 - train: [ INFO] - Train: 282 [ 64/65 (100%)] Loss: 0.006644 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.95/s LR: 1.510e-05 P_Replacement: 1.0 + +2023-08-10 16:47:43,208 - train: [ INFO] - Test: [ 0/7] Time: 0.984 (0.984) Loss: 0.5783 (0.5783) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 95.0000 (95.0000) + +2023-08-10 16:47:44,914 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.336) Loss: 1.0069 (0.7784) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.5287)Acc@5: 90.0000 (92.6437) + +2023-08-10 16:47:46,733 - train: [ INFO] - Train: 283 [ 0/65 ( 0%)] Loss: 0.006200 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.576s, 76.13/s LR: 1.455e-05 P_Replacement: 1.0 + +2023-08-10 16:48:22,184 - train: [ INFO] - Train: 283 [ 50/65 ( 78%)] Loss: 0.006252 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.30/s LR: 1.455e-05 P_Replacement: 1.0 + +2023-08-10 16:48:32,120 - train: [ INFO] - Train: 283 [ 64/65 (100%)] Loss: 0.006091 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.10/s LR: 1.455e-05 P_Replacement: 1.0 + +2023-08-10 16:48:33,228 - train: [ INFO] - Test: [ 0/7] Time: 0.972 (0.972) Loss: 0.7032 (0.7032) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:48:34,834 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.322) Loss: 0.4871 (0.7985) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (81.7241)Acc@5: 100.0000 (92.2989) + +2023-08-10 16:48:36,806 - train: [ INFO] - Train: 284 [ 0/65 ( 0%)] Loss: 0.006145 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.660s, 72.29/s LR: 1.403e-05 P_Replacement: 1.0 + +2023-08-10 16:49:12,081 - train: [ INFO] - Train: 284 [ 50/65 ( 78%)] Loss: 0.006554 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.70/s LR: 1.403e-05 P_Replacement: 1.0 + +2023-08-10 16:49:22,042 - train: [ INFO] - Train: 284 [ 64/65 (100%)] Loss: 0.007090 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.33/s LR: 1.403e-05 P_Replacement: 1.0 + +2023-08-10 16:49:23,068 - train: [ INFO] - Test: [ 0/7] Time: 0.892 (0.892) Loss: 0.8490 (0.8490) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 90.8333 (90.8333) + +2023-08-10 16:49:24,725 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.319) Loss: 0.3277 (0.7910) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.8391)Acc@5: 100.0000 (92.2989) + +2023-08-10 16:49:26,566 - train: [ INFO] - Train: 285 [ 0/65 ( 0%)] Loss: 0.006289 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.542s, 77.83/s LR: 1.355e-05 P_Replacement: 1.0 + +2023-08-10 16:50:01,977 - train: [ INFO] - Train: 285 [ 50/65 ( 78%)] Loss: 0.006182 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.63/s LR: 1.355e-05 P_Replacement: 1.0 + +2023-08-10 16:50:11,926 - train: [ INFO] - Train: 285 [ 64/65 (100%)] Loss: 0.006305 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.32/s LR: 1.355e-05 P_Replacement: 1.0 + +2023-08-10 16:50:12,954 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 0.7893 (0.7893) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 95.0000 (95.0000) + +2023-08-10 16:50:14,683 - train: [ INFO] - Test: [ 7/7] Time: 0.084 (0.330) Loss: 0.8967 (0.7541) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.8736)Acc@5: 93.3333 (93.4483) + +2023-08-10 16:50:16,614 - train: [ INFO] - Train: 286 [ 0/65 ( 0%)] Loss: 0.006274 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.648s, 72.82/s LR: 1.309e-05 P_Replacement: 1.0 + +2023-08-10 16:50:52,077 - train: [ INFO] - Train: 286 [ 50/65 ( 78%)] Loss: 0.006131 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.92/s LR: 1.309e-05 P_Replacement: 1.0 + +2023-08-10 16:51:01,965 - train: [ INFO] - Train: 286 [ 64/65 (100%)] Loss: 0.006340 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.97/s LR: 1.309e-05 P_Replacement: 1.0 + +2023-08-10 16:51:03,071 - train: [ INFO] - Test: [ 0/7] Time: 0.954 (0.954) Loss: 0.8073 (0.8073) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:51:04,725 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.326) Loss: 0.6096 (0.7789) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.1839)Acc@5: 96.6667 (92.8736) + +2023-08-10 16:51:06,665 - train: [ INFO] - Train: 287 [ 0/65 ( 0%)] Loss: 0.006137 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.655s, 72.53/s LR: 1.266e-05 P_Replacement: 1.0 + +2023-08-10 16:51:41,927 - train: [ INFO] - Train: 287 [ 50/65 ( 78%)] Loss: 0.006187 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.79/s LR: 1.266e-05 P_Replacement: 1.0 + +2023-08-10 16:51:51,878 - train: [ INFO] - Train: 287 [ 64/65 (100%)] Loss: 0.006138 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.43/s LR: 1.266e-05 P_Replacement: 1.0 + +2023-08-10 16:51:52,985 - train: [ INFO] - Test: [ 0/7] Time: 0.946 (0.946) Loss: 0.9795 (0.9795) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 90.8333 (90.8333) + +2023-08-10 16:51:54,654 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.327) Loss: 0.6524 (0.7547) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.9885)Acc@5: 96.6667 (93.6782) + +2023-08-10 16:51:56,597 - train: [ INFO] - Train: 288 [ 0/65 ( 0%)] Loss: 0.006068 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.620s, 74.06/s LR: 1.227e-05 P_Replacement: 1.0 + +2023-08-10 16:52:31,978 - train: [ INFO] - Train: 288 [ 50/65 ( 78%)] Loss: 0.006480 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.41/s LR: 1.227e-05 P_Replacement: 1.0 + +2023-08-10 16:52:41,922 - train: [ INFO] - Train: 288 [ 64/65 (100%)] Loss: 0.006109 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.16/s LR: 1.227e-05 P_Replacement: 1.0 + +2023-08-10 16:52:43,088 - train: [ INFO] - Test: [ 0/7] Time: 0.992 (0.992) Loss: 0.6834 (0.6834) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-10 16:52:44,769 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.334) Loss: 0.4595 (0.7824) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (82.1839)Acc@5: 96.6667 (92.9885) + +2023-08-10 16:52:46,670 - train: [ INFO] - Train: 289 [ 0/65 ( 0%)] Loss: 0.006256 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.624s, 73.91/s LR: 1.191e-05 P_Replacement: 1.0 + +2023-08-10 16:53:22,081 - train: [ INFO] - Train: 289 [ 50/65 ( 78%)] Loss: 0.006041 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.26/s LR: 1.191e-05 P_Replacement: 1.0 + +2023-08-10 16:53:32,001 - train: [ INFO] - Train: 289 [ 64/65 (100%)] Loss: 0.006142 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.13/s LR: 1.191e-05 P_Replacement: 1.0 + +2023-08-10 16:53:33,149 - train: [ INFO] - Test: [ 0/7] Time: 0.978 (0.978) Loss: 0.9531 (0.9531) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 91.6667 (91.6667) + +2023-08-10 16:53:34,782 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.326) Loss: 0.7317 (0.7806) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (83.4483)Acc@5: 93.3333 (93.2184) + +2023-08-10 16:53:36,623 - train: [ INFO] - Train: 290 [ 0/65 ( 0%)] Loss: 0.006243 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.539s, 77.96/s LR: 1.158e-05 P_Replacement: 1.0 + +2023-08-10 16:54:12,073 - train: [ INFO] - Train: 290 [ 50/65 ( 78%)] Loss: 0.006422 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.47/s LR: 1.158e-05 P_Replacement: 1.0 + +2023-08-10 16:54:21,975 - train: [ INFO] - Train: 290 [ 64/65 (100%)] Loss: 0.006341 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 1.158e-05 P_Replacement: 1.0 + +2023-08-10 16:54:23,106 - train: [ INFO] - Test: [ 0/7] Time: 0.994 (0.994) Loss: 0.8760 (0.8760) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 91.6667 (91.6667) + +2023-08-10 16:54:24,711 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.325) Loss: 0.8795 (0.7803) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.6437)Acc@5: 93.3333 (92.8736) + +2023-08-10 16:54:26,556 - train: [ INFO] - Train: 291 [ 0/65 ( 0%)] Loss: 0.006207 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.567s, 76.60/s LR: 1.128e-05 P_Replacement: 1.0 + +2023-08-10 16:55:01,921 - train: [ INFO] - Train: 291 [ 50/65 ( 78%)] Loss: 0.006926 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.73/s LR: 1.128e-05 P_Replacement: 1.0 + +2023-08-10 16:55:11,866 - train: [ INFO] - Train: 291 [ 64/65 (100%)] Loss: 0.006112 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.41/s LR: 1.128e-05 P_Replacement: 1.0 + +2023-08-10 16:55:13,003 - train: [ INFO] - Test: [ 0/7] Time: 0.991 (0.991) Loss: 0.8560 (0.8560) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:55:14,644 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.329) Loss: 0.9997 (0.7735) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (83.1035)Acc@5: 90.0000 (92.6437) + +2023-08-10 16:55:16,610 - train: [ INFO] - Train: 292 [ 0/65 ( 0%)] Loss: 0.006317 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.655s, 72.51/s LR: 1.101e-05 P_Replacement: 1.0 + +2023-08-10 16:55:51,995 - train: [ INFO] - Train: 292 [ 50/65 ( 78%)] Loss: 0.006374 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.24/s LR: 1.101e-05 P_Replacement: 1.0 + +2023-08-10 16:56:01,990 - train: [ INFO] - Train: 292 [ 64/65 (100%)] Loss: 0.006053 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.84/s LR: 1.101e-05 P_Replacement: 1.0 + +2023-08-10 16:56:03,093 - train: [ INFO] - Test: [ 0/7] Time: 0.945 (0.945) Loss: 0.7481 (0.7481) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 93.3333 (93.3333) + +2023-08-10 16:56:04,829 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.335) Loss: 0.7176 (0.7820) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (81.7241)Acc@5: 96.6667 (92.8736) + +2023-08-10 16:56:06,787 - train: [ INFO] - Train: 293 [ 0/65 ( 0%)] Loss: 0.006211 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.653s, 72.60/s LR: 1.077e-05 P_Replacement: 1.0 + +2023-08-10 16:56:42,180 - train: [ INFO] - Train: 293 [ 50/65 ( 78%)] Loss: 0.006476 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.21/s LR: 1.077e-05 P_Replacement: 1.0 + +2023-08-10 16:56:52,101 - train: [ INFO] - Train: 293 [ 64/65 (100%)] Loss: 0.006348 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.09/s LR: 1.077e-05 P_Replacement: 1.0 + +2023-08-10 16:56:53,210 - train: [ INFO] - Test: [ 0/7] Time: 0.967 (0.967) Loss: 0.6651 (0.6651) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 94.1667 (94.1667) + +2023-08-10 16:56:54,881 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.330) Loss: 0.6699 (0.7879) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.0690)Acc@5: 96.6667 (92.5287) + +2023-08-10 16:56:56,845 - train: [ INFO] - Train: 294 [ 0/65 ( 0%)] Loss: 0.006353 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.638s, 73.28/s LR: 1.057e-05 P_Replacement: 1.0 + +2023-08-10 16:57:32,254 - train: [ INFO] - Train: 294 [ 50/65 ( 78%)] Loss: 0.006273 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.20/s LR: 1.057e-05 P_Replacement: 1.0 + +2023-08-10 16:57:42,195 - train: [ INFO] - Train: 294 [ 64/65 (100%)] Loss: 0.006325 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.01/s LR: 1.057e-05 P_Replacement: 1.0 + +2023-08-10 16:57:43,300 - train: [ INFO] - Test: [ 0/7] Time: 0.932 (0.932) Loss: 0.6281 (0.6281) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.8333 (95.8333) + +2023-08-10 16:57:44,956 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.324) Loss: 0.9229 (0.7574) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (81.9540)Acc@5: 93.3333 (93.5632) + +2023-08-10 16:57:46,810 - train: [ INFO] - Train: 295 [ 0/65 ( 0%)] Loss: 0.006401 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.569s, 76.49/s LR: 1.039e-05 P_Replacement: 1.0 + +2023-08-10 16:58:22,344 - train: [ INFO] - Train: 295 [ 50/65 ( 78%)] Loss: 0.006168 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.96/s LR: 1.039e-05 P_Replacement: 1.0 + +2023-08-10 16:58:32,300 - train: [ INFO] - Train: 295 [ 64/65 (100%)] Loss: 0.006100 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 1.039e-05 P_Replacement: 1.0 + +2023-08-10 16:58:33,393 - train: [ INFO] - Test: [ 0/7] Time: 0.933 (0.933) Loss: 0.7690 (0.7690) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:58:35,039 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.322) Loss: 0.7258 (0.7587) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.6437)Acc@5: 93.3333 (93.1035) + +2023-08-10 16:58:36,937 - train: [ INFO] - Train: 296 [ 0/65 ( 0%)] Loss: 0.006790 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.578s, 76.05/s LR: 1.025e-05 P_Replacement: 1.0 + +2023-08-10 16:59:12,424 - train: [ INFO] - Train: 296 [ 50/65 ( 78%)] Loss: 0.006355 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.12/s LR: 1.025e-05 P_Replacement: 1.0 + +2023-08-10 16:59:22,412 - train: [ INFO] - Train: 296 [ 64/65 (100%)] Loss: 0.006353 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.78/s LR: 1.025e-05 P_Replacement: 1.0 + +2023-08-10 16:59:23,495 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 0.8531 (0.8531) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 92.5000 (92.5000) + +2023-08-10 16:59:25,121 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.319) Loss: 0.3428 (0.7704) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (83.1035)Acc@5: 100.0000 (92.8736) + +2023-08-10 16:59:27,029 - train: [ INFO] - Train: 297 [ 0/65 ( 0%)] Loss: 0.006266 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.624s, 73.88/s LR: 1.014e-05 P_Replacement: 1.0 + +2023-08-10 17:00:02,663 - train: [ INFO] - Train: 297 [ 50/65 ( 78%)] Loss: 0.006471 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.27/s LR: 1.014e-05 P_Replacement: 1.0 + +2023-08-10 17:00:12,648 - train: [ INFO] - Train: 297 [ 64/65 (100%)] Loss: 0.006096 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.12/s LR: 1.014e-05 P_Replacement: 1.0 + +2023-08-10 17:00:13,773 - train: [ INFO] - Test: [ 0/7] Time: 0.957 (0.957) Loss: 0.8042 (0.8042) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 91.6667 (91.6667) + +2023-08-10 17:00:15,371 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.319) Loss: 0.5419 (0.7735) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.0690)Acc@5: 96.6667 (92.9885) + +2023-08-10 17:00:17,190 - train: [ INFO] - Train: 298 [ 0/65 ( 0%)] Loss: 0.006148 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.536s, 78.11/s LR: 1.006e-05 P_Replacement: 1.0 + +2023-08-10 17:00:52,702 - train: [ INFO] - Train: 298 [ 50/65 ( 78%)] Loss: 0.006125 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.20/s LR: 1.006e-05 P_Replacement: 1.0 + +2023-08-10 17:01:02,602 - train: [ INFO] - Train: 298 [ 64/65 (100%)] Loss: 0.006152 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.16/s LR: 1.006e-05 P_Replacement: 1.0 + +2023-08-10 17:01:03,650 - train: [ INFO] - Test: [ 0/7] Time: 0.888 (0.888) Loss: 0.7430 (0.7430) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 93.3333 (93.3333) + +2023-08-10 17:01:05,329 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.321) Loss: 0.8082 (0.7791) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.2989)Acc@5: 93.3333 (93.2184) + +2023-08-10 17:01:07,267 - train: [ INFO] - Train: 299 [ 0/65 ( 0%)] Loss: 0.006476 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.674s, 71.68/s LR: 1.002e-05 P_Replacement: 1.0 + +2023-08-10 17:01:42,776 - train: [ INFO] - Train: 299 [ 50/65 ( 78%)] Loss: 0.006082 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.62/s LR: 1.002e-05 P_Replacement: 1.0 + +2023-08-10 17:01:52,710 - train: [ INFO] - Train: 299 [ 64/65 (100%)] Loss: 0.006351 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.57/s LR: 1.002e-05 P_Replacement: 1.0 + +2023-08-10 17:01:53,823 - train: [ INFO] - Test: [ 0/7] Time: 0.958 (0.958) Loss: 0.8227 (0.8227) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 91.6667 (91.6667) + +2023-08-10 17:01:55,466 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.325) Loss: 0.3354 (0.7618) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (83.1035)Acc@5: 96.6667 (92.7586) + +2023-08-10 17:01:55,785 - train: [ INFO] - *** Best metric: 83.56322242473733 (epoch 244) diff --git a/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/model_best.pth.tar b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_False-regularization_True/model_best.pth.tar new file 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b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/args.yaml new file mode 100644 index 0000000000000000000000000000000000000000..af7a28794ff8f9c8027835dcc51b17ee1a1fedaa --- /dev/null +++ b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/args.yaml @@ -0,0 +1,148 @@ +DVS_DA: false +TET_loss: true +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptive_node: false +amp: false +apex_amp: false +aug_splits: 0 +batch_size: 120 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cut_mix: false +cutmix: 1.0 +cutmix_beta: 1.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +decay_epochs: 30 +decay_rate: 0.1 +device: 6 +dist_bn: '' +domain_loss: true +domain_loss_coefficient: 0.5 +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +encode: direct +epochs: 300 +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: '' +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: 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 +min_lr: 1.0e-05 +mix_up: false +mixup: 0.8 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 1.0 +mixup_switch_prob: 0.5 +model: Transfer_VGG_SNN +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_groups: 1 +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +no_sliding_training: false +no_use_hsv: false +node_resume: '' +node_trainable: false +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 101 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: /home/hexiang/DomainAdaptation_DVS/Results2/ +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +regularization: false +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +rgbdata_ratio: 1.0 +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 42 +sigmoid_thres: false +smoothing: 0.0 +snr: 0 +source_dataset: CALTECH101 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 10 +suffix: '' +sync_bn: false +target_dataset: NCALTECH101 +tau: 2.0 +temporal_flatten: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.9 +traindata_ratio: 1.0 +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: 0.01 +workers: 8 diff --git a/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed8cc4dc4b70d1856ba0a8e79b4f1b427c07cc40 --- /dev/null +++ b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/log.txt @@ -0,0 +1,3174 @@ +2023-08-09 13:45:05,908 - train: [ INFO] - Training with a single process on 1 GPUs. +2023-08-09 13:45:06,055 - train: [ INFO] - learning rate is 0.000586 +2023-08-09 13:45:06,055 - train: [ INFO] - Model Transfer_VGG_SNN created, param count: 10153700 +2023-08-09 13:45:08,577 - train: [ INFO] - AMP not enabled. Training in float32. +2023-08-09 13:45:08,577 - train: [ INFO] - Scheduled epochs: 310 +2023-08-09 13:45:23,699 - train: [ INFO] - Train: 0 [ 0/65 ( 0%)] Loss: 9.328251 (9.3283) Acc@1: 0.8333 ( 0.8333) Acc@5: 1.6667 ( 1.6667) Time: 5.408s, 22.19/s LR: 1.000e-06 P_Replacement: 0.0 + +2023-08-09 13:45:59,240 - train: [ INFO] - Train: 0 [ 50/65 ( 78%)] Loss: 9.267191 (9.2997) Acc@1: 1.6667 ( 0.7843) Acc@5: 5.8333 ( 4.9837) Time: 0.803s, 149.46/s LR: 1.000e-06 P_Replacement: 1.6858005023685496e-08 + +2023-08-09 13:46:09,138 - train: [ INFO] - Train: 0 [ 64/65 (100%)] Loss: 9.263423 (9.2921) Acc@1: 1.6667 ( 0.7949) Acc@5: 6.6667 ( 5.1026) Time: 0.782s, 153.41/s LR: 1.000e-06 P_Replacement: 3.535379895143208e-08 + +2023-08-09 13:46:10,056 - train: [ INFO] - Test: [ 0/7] Time: 0.859 (0.859) Loss: 4.6191 (4.6191) cLoss: 0.0000 (0.0000) Acc@1: 0.0000 ( 0.0000)Acc@5: 1.6667 ( 1.6667) + +2023-08-09 13:46:11,690 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.312) Loss: 4.6152 (4.6142) cLoss: 0.0000 (0.0000) Acc@1: 0.0000 ( 0.4598)Acc@5: 3.3333 ( 3.5632) + +2023-08-09 13:46:11,955 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-0.pth.tar', 0.45977013686607626) + +2023-08-09 13:46:13,425 - train: [ INFO] - Train: 1 [ 0/65 ( 0%)] Loss: 9.276647 (9.2766) Acc@1: 0.8333 ( 0.8333) Acc@5: 10.0000 (10.0000) Time: 1.469s, 81.70/s LR: 1.180e-04 P_Replacement: 3.703703703703704e-08 + +2023-08-09 13:46:48,933 - train: [ INFO] - Train: 1 [ 50/65 ( 78%)] Loss: 8.197349 (8.8610) Acc@1: 19.1667 ( 8.4967) Acc@5: 41.6667 (21.9608) Time: 0.725s, 165.52/s LR: 1.180e-04 P_Replacement: 2.0511134712318146e-07 + +2023-08-09 13:46:58,936 - train: [ INFO] - Train: 1 [ 64/65 (100%)] Loss: 7.820916 (8.6809) Acc@1: 20.0000 (10.8846) Acc@5: 40.8333 (25.9487) Time: 0.723s, 166.04/s LR: 1.180e-04 P_Replacement: 2.895111515703231e-07 + +2023-08-09 13:46:59,879 - train: [ INFO] - Test: [ 0/7] Time: 0.825 (0.825) Loss: 4.0473 (4.0473) cLoss: 0.0000 (0.0000) Acc@1: 19.1667 (19.1667)Acc@5: 44.1667 (44.1667) + +2023-08-09 13:47:01,477 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.303) Loss: 4.0619 (4.1053) cLoss: 0.0000 (0.0000) Acc@1: 23.3333 (22.7586)Acc@5: 50.0000 (44.0230) + +2023-08-09 13:47:01,711 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-1.pth.tar', 22.75862193929738) + +2023-08-09 13:47:03,165 - train: [ INFO] - Train: 2 [ 0/65 ( 0%)] Loss: 7.751693 (7.7517) Acc@1: 20.8333 (20.8333) Acc@5: 45.0000 (45.0000) Time: 1.435s, 83.63/s LR: 2.350e-04 P_Replacement: 2.9629629629629634e-07 + +2023-08-09 13:47:38,753 - train: [ INFO] - Train: 2 [ 50/65 ( 78%)] Loss: 5.670223 (6.7204) Acc@1: 35.8333 (30.3595) Acc@5: 70.0000 (55.6536) Time: 0.726s, 165.31/s LR: 2.350e-04 P_Replacement: 7.865270823850708e-07 + +2023-08-09 13:47:48,687 - train: [ INFO] - Train: 2 [ 64/65 (100%)] Loss: 5.386390 (6.4635) Acc@1: 48.3333 (33.4744) Acc@5: 70.0000 (58.5385) Time: 0.722s, 166.12/s LR: 2.350e-04 P_Replacement: 9.846941452148553e-07 + +2023-08-09 13:47:49,660 - train: [ INFO] - Test: [ 0/7] Time: 0.878 (0.878) Loss: 3.3307 (3.3307) cLoss: 0.0000 (0.0000) Acc@1: 26.6667 (26.6667)Acc@5: 47.5000 (47.5000) + +2023-08-09 13:47:51,267 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.311) Loss: 2.9582 (3.2893) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (25.8621)Acc@5: 70.0000 (49.8851) + +2023-08-09 13:47:51,492 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-2.pth.tar', 25.862070346700733) + +2023-08-09 13:47:52,950 - train: [ INFO] - Train: 3 [ 0/65 ( 0%)] Loss: 5.160292 (5.1603) Acc@1: 40.8333 (40.8333) Acc@5: 75.8333 (75.8333) Time: 1.443s, 83.17/s LR: 3.520e-04 P_Replacement: 1.0000000000000002e-06 + +2023-08-09 13:48:28,527 - train: [ INFO] - Train: 3 [ 50/65 ( 78%)] Loss: 3.844758 (4.7491) Acc@1: 59.1667 (49.1667) Acc@5: 88.3333 (75.4575) Time: 0.726s, 165.33/s LR: 3.520e-04 P_Replacement: 1.983327433031575e-06 + +2023-08-09 13:48:38,518 - train: [ INFO] - Train: 3 [ 64/65 (100%)] Loss: 3.830510 (4.5927) Acc@1: 56.6667 (50.4872) Acc@5: 80.8333 (76.6923) Time: 0.723s, 165.93/s LR: 3.520e-04 P_Replacement: 2.3431250021072504e-06 + +2023-08-09 13:48:39,480 - train: [ INFO] - Test: [ 0/7] Time: 0.862 (0.862) Loss: 3.0817 (3.0817) cLoss: 0.0000 (0.0000) Acc@1: 32.5000 (32.5000)Acc@5: 52.5000 (52.5000) + +2023-08-09 13:48:41,178 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.320) Loss: 2.6316 (3.3234) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (23.6782)Acc@5: 63.3333 (45.1724) + +2023-08-09 13:48:42,830 - train: [ INFO] - Train: 4 [ 0/65 ( 0%)] Loss: 3.927433 (3.9274) Acc@1: 57.5000 (57.5000) Acc@5: 80.8333 (80.8333) Time: 1.417s, 84.67/s LR: 4.689e-04 P_Replacement: 2.3703703703703707e-06 + +2023-08-09 13:49:18,244 - train: [ INFO] - Train: 4 [ 50/65 ( 78%)] Loss: 3.327018 (3.5203) Acc@1: 64.1667 (61.5523) Acc@5: 82.5000 (83.7418) Time: 0.722s, 166.17/s LR: 4.689e-04 P_Replacement: 4.017734621284917e-06 + +2023-08-09 13:49:28,112 - train: [ INFO] - Train: 4 [ 64/65 (100%)] Loss: 3.042044 (3.4336) Acc@1: 66.6667 (62.5769) Acc@5: 85.8333 (84.6795) Time: 0.718s, 167.04/s LR: 4.689e-04 P_Replacement: 4.587025944469731e-06 + +2023-08-09 13:49:29,095 - train: [ INFO] - Test: [ 0/7] Time: 0.878 (0.878) Loss: 2.9590 (2.9590) cLoss: 0.0000 (0.0000) Acc@1: 27.5000 (27.5000)Acc@5: 52.5000 (52.5000) + +2023-08-09 13:49:30,727 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.314) Loss: 2.9651 (2.8066) cLoss: 0.0000 (0.0000) Acc@1: 30.0000 (31.2644)Acc@5: 56.6667 (57.5862) + +2023-08-09 13:49:30,972 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-4.pth.tar', 31.264369372663825) + +2023-08-09 13:49:32,423 - train: [ INFO] - Train: 5 [ 0/65 ( 0%)] Loss: 3.571396 (3.5714) Acc@1: 59.1667 (59.1667) Acc@5: 82.5000 (82.5000) Time: 1.438s, 83.46/s LR: 5.855e-04 P_Replacement: 4.6296296296296296e-06 + +2023-08-09 13:50:07,879 - train: [ INFO] - Train: 5 [ 50/65 ( 78%)] Loss: 2.417405 (2.8266) Acc@1: 75.8333 (68.9052) Acc@5: 91.6667 (88.9543) Time: 0.723s, 165.91/s LR: 5.855e-04 P_Replacement: 7.11197086936732e-06 + +2023-08-09 13:50:17,773 - train: [ INFO] - Train: 5 [ 64/65 (100%)] Loss: 2.409945 (2.7406) Acc@1: 72.5000 (70.0513) Acc@5: 88.3333 (89.5513) Time: 0.720s, 166.74/s LR: 5.855e-04 P_Replacement: 7.93861919452452e-06 + +2023-08-09 13:50:18,737 - train: [ INFO] - Test: [ 0/7] Time: 0.869 (0.869) Loss: 2.7015 (2.7015) cLoss: 0.0000 (0.0000) Acc@1: 33.3333 (33.3333)Acc@5: 64.1667 (64.1667) + +2023-08-09 13:50:20,453 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.323) Loss: 2.3372 (2.5994) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (36.8966)Acc@5: 66.6667 (65.4023) + +2023-08-09 13:50:20,670 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-5.pth.tar', 36.896553434174635) + +2023-08-09 13:50:22,124 - train: [ INFO] - Train: 6 [ 0/65 ( 0%)] Loss: 2.258003 (2.2580) Acc@1: 76.6667 (76.6667) Acc@5: 92.5000 (92.5000) Time: 1.441s, 83.30/s LR: 5.854e-04 P_Replacement: 8.000000000000001e-06 + +2023-08-09 13:50:57,585 - train: [ INFO] - Train: 6 [ 50/65 ( 78%)] Loss: 2.010778 (2.1325) Acc@1: 81.6667 (77.2059) Acc@5: 99.1667 (93.0229) Time: 0.723s, 165.88/s LR: 5.854e-04 P_Replacement: 1.1488258399501006e-05 + +2023-08-09 13:51:07,522 - train: [ INFO] - Train: 6 [ 64/65 (100%)] Loss: 1.660892 (2.0925) Acc@1: 83.3333 (77.5897) Acc@5: 96.6667 (93.3077) Time: 0.720s, 166.56/s LR: 5.854e-04 P_Replacement: 1.2620126974493841e-05 + +2023-08-09 13:51:08,468 - train: [ INFO] - Test: [ 0/7] Time: 0.856 (0.856) Loss: 2.5826 (2.5826) cLoss: 0.0000 (0.0000) Acc@1: 39.1667 (39.1667)Acc@5: 62.5000 (62.5000) + +2023-08-09 13:51:10,100 - train: [ INFO] - Test: [ 7/7] Time: 0.086 (0.311) Loss: 2.1799 (2.4824) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (39.4253)Acc@5: 73.3333 (67.1264) + +2023-08-09 13:51:10,360 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-6.pth.tar', 39.4252894171353) + +2023-08-09 13:51:11,808 - train: [ INFO] - Train: 7 [ 0/65 ( 0%)] Loss: 2.182300 (2.1823) Acc@1: 75.0000 (75.0000) Acc@5: 92.5000 (92.5000) Time: 1.433s, 83.72/s LR: 5.852e-04 P_Replacement: 1.2703703703703705e-05 + +2023-08-09 13:51:47,272 - train: [ INFO] - Train: 7 [ 50/65 ( 78%)] Loss: 1.406020 (1.7250) Acc@1: 90.0000 (82.2386) Acc@5: 94.1667 (95.2451) Time: 0.723s, 165.87/s LR: 5.852e-04 P_Replacement: 1.736881943390819e-05 + +2023-08-09 13:51:57,227 - train: [ INFO] - Train: 7 [ 64/65 (100%)] Loss: 1.219030 (1.6741) Acc@1: 93.3333 (82.6026) Acc@5: 99.1667 (95.4359) Time: 0.721s, 166.49/s LR: 5.852e-04 P_Replacement: 1.8853771506599906e-05 + +2023-08-09 13:51:58,168 - train: [ INFO] - Test: [ 0/7] Time: 0.850 (0.850) Loss: 2.2889 (2.2889) cLoss: 0.0000 (0.0000) Acc@1: 45.8333 (45.8333)Acc@5: 69.1667 (69.1667) + +2023-08-09 13:51:59,818 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.312) Loss: 2.6765 (2.5675) cLoss: 0.0000 (0.0000) Acc@1: 33.3333 (38.9655)Acc@5: 73.3333 (63.5632) + +2023-08-09 13:52:01,489 - train: [ INFO] - Train: 8 [ 0/65 ( 0%)] Loss: 1.470987 (1.4710) Acc@1: 85.0000 (85.0000) Acc@5: 96.6667 (96.6667) Time: 1.420s, 84.53/s LR: 5.849e-04 P_Replacement: 1.8962962962962966e-05 + +2023-08-09 13:52:36,969 - train: [ INFO] - Train: 8 [ 50/65 ( 78%)] Loss: 1.131680 (1.3279) Acc@1: 93.3333 (86.9281) Acc@5: 97.5000 (97.1732) Time: 0.723s, 165.86/s LR: 5.849e-04 P_Replacement: 2.4975876194811103e-05 + +2023-08-09 13:52:46,919 - train: [ INFO] - Train: 8 [ 64/65 (100%)] Loss: 1.155106 (1.2925) Acc@1: 91.6667 (87.5385) Acc@5: 96.6667 (97.1923) Time: 0.721s, 166.50/s LR: 5.849e-04 P_Replacement: 2.686177501306495e-05 + +2023-08-09 13:52:47,906 - train: [ INFO] - Test: [ 0/7] Time: 0.879 (0.879) Loss: 2.2157 (2.2157) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (46.6667)Acc@5: 69.1667 (69.1667) + +2023-08-09 13:52:49,584 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.320) Loss: 2.4260 (2.2154) cLoss: 0.0000 (0.0000) Acc@1: 40.0000 (46.0920)Acc@5: 66.6667 (71.7241) + +2023-08-09 13:52:49,843 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-8.pth.tar', 46.091956434578734) + +2023-08-09 13:52:51,340 - train: [ INFO] - Train: 9 [ 0/65 ( 0%)] Loss: 1.094155 (1.0942) Acc@1: 90.8333 (90.8333) Acc@5: 99.1667 (99.1667) Time: 1.477s, 81.23/s LR: 5.847e-04 P_Replacement: 2.6999999999999996e-05 + +2023-08-09 13:53:26,929 - train: [ INFO] - Train: 9 [ 50/65 ( 78%)] Loss: 0.815595 (1.0049) Acc@1: 93.3333 (91.0621) Acc@5: 100.0000 (98.5784) Time: 0.727s, 165.12/s LR: 5.847e-04 P_Replacement: 3.453165090443196e-05 + +2023-08-09 13:53:36,927 - train: [ INFO] - Train: 9 [ 64/65 (100%)] Loss: 0.902621 (0.9931) Acc@1: 95.0000 (91.3333) Acc@5: 100.0000 (98.5897) Time: 0.724s, 165.75/s LR: 5.847e-04 P_Replacement: 3.68663597161112e-05 + +2023-08-09 13:53:37,880 - train: [ INFO] - Test: [ 0/7] Time: 0.838 (0.838) Loss: 1.7458 (1.7458) cLoss: 0.0000 (0.0000) Acc@1: 55.0000 (55.0000)Acc@5: 81.6667 (81.6667) + +2023-08-09 13:53:39,529 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.311) Loss: 1.7458 (2.0971) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (50.2299)Acc@5: 80.0000 (73.3333) + +2023-08-09 13:53:39,764 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-9.pth.tar', 50.22988720597892) + +2023-08-09 13:53:41,216 - train: [ INFO] - Train: 10 [ 0/65 ( 0%)] Loss: 0.965658 (0.9657) Acc@1: 92.5000 (92.5000) Acc@5: 99.1667 (99.1667) Time: 1.437s, 83.50/s LR: 5.844e-04 P_Replacement: 3.7037037037037037e-05 + +2023-08-09 13:54:16,834 - train: [ INFO] - Train: 10 [ 50/65 ( 78%)] Loss: 0.736333 (0.8426) Acc@1: 97.5000 (93.1536) Acc@5: 99.1667 (98.8235) Time: 0.727s, 165.17/s LR: 5.844e-04 P_Replacement: 4.6258365784992997e-05 + +2023-08-09 13:54:26,820 - train: [ INFO] - Train: 10 [ 64/65 (100%)] Loss: 0.786760 (0.8199) Acc@1: 94.1667 (93.5128) Acc@5: 99.1667 (98.8974) Time: 0.724s, 165.83/s LR: 5.844e-04 P_Replacement: 4.9089747837960845e-05 + +2023-08-09 13:54:27,815 - train: [ INFO] - Test: [ 0/7] Time: 0.885 (0.885) Loss: 1.9712 (1.9712) cLoss: 0.0000 (0.0000) Acc@1: 55.8333 (55.8333)Acc@5: 73.3333 (73.3333) + +2023-08-09 13:54:29,477 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.318) Loss: 1.1714 (1.8802) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (53.1035)Acc@5: 86.6667 (77.9310) + +2023-08-09 13:54:29,738 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-10.pth.tar', 53.1034506436052) + +2023-08-09 13:54:31,243 - train: [ INFO] - Train: 11 [ 0/65 ( 0%)] Loss: 0.771506 (0.7715) Acc@1: 95.0000 (95.0000) Acc@5: 100.0000 (100.0000) Time: 1.486s, 80.74/s LR: 5.840e-04 P_Replacement: 4.92962962962963e-05 + +2023-08-09 13:55:06,878 - train: [ INFO] - Train: 11 [ 50/65 ( 78%)] Loss: 0.677328 (0.6808) Acc@1: 95.0000 (95.4248) Acc@5: 100.0000 (99.5425) Time: 0.728s, 164.88/s LR: 5.840e-04 P_Replacement: 6.037824305871642e-05 + +2023-08-09 13:55:16,846 - train: [ INFO] - Train: 11 [ 64/65 (100%)] Loss: 0.625203 (0.6750) Acc@1: 95.0000 (95.4231) Acc@5: 99.1667 (99.5256) Time: 0.724s, 165.65/s LR: 5.840e-04 P_Replacement: 6.375416160083615e-05 + +2023-08-09 13:55:17,809 - train: [ INFO] - Test: [ 0/7] Time: 0.847 (0.847) Loss: 1.7827 (1.7827) cLoss: 0.0000 (0.0000) Acc@1: 62.5000 (62.5000)Acc@5: 77.5000 (77.5000) + +2023-08-09 13:55:19,483 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.315) Loss: 1.7922 (1.8658) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (55.4023)Acc@5: 76.6667 (78.1609) + +2023-08-09 13:55:19,731 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-11.pth.tar', 55.40230178833008) + +2023-08-09 13:55:21,201 - train: [ INFO] - Train: 12 [ 0/65 ( 0%)] Loss: 0.722035 (0.7220) Acc@1: 95.0000 (95.0000) Acc@5: 99.1667 (99.1667) Time: 1.450s, 82.76/s LR: 5.837e-04 P_Replacement: 6.400000000000001e-05 + +2023-08-09 13:55:56,843 - train: [ INFO] - Train: 12 [ 50/65 ( 78%)] Loss: 0.511137 (0.5763) Acc@1: 97.5000 (96.6830) Acc@5: 99.1667 (99.5098) Time: 0.727s, 165.02/s LR: 5.837e-04 P_Replacement: 7.711350494782447e-05 + +2023-08-09 13:56:06,809 - train: [ INFO] - Train: 12 [ 64/65 (100%)] Loss: 0.460680 (0.5647) Acc@1: 99.1667 (96.8333) Acc@5: 100.0000 (99.5513) Time: 0.724s, 165.78/s LR: 5.837e-04 P_Replacement: 8.108182322695932e-05 + +2023-08-09 13:56:07,815 - train: [ INFO] - Test: [ 0/7] Time: 0.880 (0.880) Loss: 1.6440 (1.6440) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (53.3333)Acc@5: 84.1667 (84.1667) + +2023-08-09 13:56:09,494 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.320) Loss: 2.1081 (1.9034) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (53.1035)Acc@5: 76.6667 (78.0460) + +2023-08-09 13:56:11,210 - train: [ INFO] - Train: 13 [ 0/65 ( 0%)] Loss: 0.473734 (0.4737) Acc@1: 96.6667 (96.6667) Acc@5: 99.1667 (99.1667) Time: 1.472s, 81.54/s LR: 5.833e-04 P_Replacement: 8.137037037037037e-05 + +2023-08-09 13:56:46,824 - train: [ INFO] - Train: 13 [ 50/65 ( 78%)] Loss: 0.517348 (0.4904) Acc@1: 96.6667 (97.6471) Acc@5: 99.1667 (99.6569) Time: 0.727s, 165.03/s LR: 5.833e-04 P_Replacement: 9.668637367453935e-05 + +2023-08-09 13:56:56,820 - train: [ INFO] - Train: 13 [ 64/65 (100%)] Loss: 0.440685 (0.4800) Acc@1: 98.3333 (97.6667) Acc@5: 100.0000 (99.7051) Time: 0.724s, 165.68/s LR: 5.833e-04 P_Replacement: 0.00010129495493855256 + +2023-08-09 13:56:57,836 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 1.7967 (1.7967) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (56.6667)Acc@5: 81.6667 (81.6667) + +2023-08-09 13:56:59,545 - train: [ INFO] - Test: [ 7/7] Time: 0.094 (0.327) Loss: 1.4620 (1.7637) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (55.6322)Acc@5: 86.6667 (80.5747) + +2023-08-09 13:56:59,823 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-13.pth.tar', 55.63218675810715) + +2023-08-09 13:57:01,411 - train: [ INFO] - Train: 14 [ 0/65 ( 0%)] Loss: 0.354072 (0.3541) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.571s, 76.38/s LR: 5.828e-04 P_Replacement: 0.00010162962962962964 + +2023-08-09 13:57:36,999 - train: [ INFO] - Train: 14 [ 50/65 ( 78%)] Loss: 0.420575 (0.4000) Acc@1: 99.1667 (98.7418) Acc@5: 99.1667 (99.7549) Time: 0.729s, 164.71/s LR: 5.828e-04 P_Replacement: 0.0001193190714610833 + +2023-08-09 13:57:47,048 - train: [ INFO] - Train: 14 [ 64/65 (100%)] Loss: 0.332753 (0.3928) Acc@1: 100.0000 (98.6795) Acc@5: 100.0000 (99.7564) Time: 0.726s, 165.24/s LR: 5.828e-04 P_Replacement: 0.00012461577895783813 + +2023-08-09 13:57:48,045 - train: [ INFO] - Test: [ 0/7] Time: 0.862 (0.862) Loss: 1.9986 (1.9986) cLoss: 0.0000 (0.0000) Acc@1: 55.0000 (55.0000)Acc@5: 77.5000 (77.5000) + +2023-08-09 13:57:49,686 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.313) Loss: 2.1220 (1.7717) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (57.1264)Acc@5: 66.6667 (80.3448) + +2023-08-09 13:57:49,920 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-14.pth.tar', 57.12643985090585) + +2023-08-09 13:57:51,396 - train: [ INFO] - Train: 15 [ 0/65 ( 0%)] Loss: 0.467555 (0.4676) Acc@1: 97.5000 (97.5000) Acc@5: 99.1667 (99.1667) Time: 1.457s, 82.36/s LR: 5.824e-04 P_Replacement: 0.00012500000000000003 + +2023-08-09 13:58:26,991 - train: [ INFO] - Train: 15 [ 50/65 ( 78%)] Loss: 0.288627 (0.3484) Acc@1: 99.1667 (98.7582) Acc@5: 100.0000 (99.8366) Time: 0.726s, 165.19/s LR: 5.824e-04 P_Replacement: 0.00014523382052967853 + +2023-08-09 13:58:36,892 - train: [ INFO] - Train: 15 [ 64/65 (100%)] Loss: 0.388151 (0.3436) Acc@1: 97.5000 (98.8077) Acc@5: 100.0000 (99.8590) Time: 0.722s, 166.14/s LR: 5.824e-04 P_Replacement: 0.00015126651750703822 + +2023-08-09 13:58:37,932 - train: [ INFO] - Test: [ 0/7] Time: 0.875 (0.875) Loss: 2.2804 (2.2804) cLoss: 0.0000 (0.0000) Acc@1: 48.3333 (48.3333)Acc@5: 71.6667 (71.6667) + +2023-08-09 13:58:39,613 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.319) Loss: 1.8116 (1.8809) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (54.3678)Acc@5: 73.3333 (77.9310) + +2023-08-09 13:58:41,292 - train: [ INFO] - Train: 16 [ 0/65 ( 0%)] Loss: 0.305271 (0.3053) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.447s, 82.94/s LR: 5.819e-04 P_Replacement: 0.00015170370370370373 + +2023-08-09 13:59:16,725 - train: [ INFO] - Train: 16 [ 50/65 ( 78%)] Loss: 0.342356 (0.3168) Acc@1: 98.3333 (99.1340) Acc@5: 100.0000 (99.9346) Time: 0.723s, 165.96/s LR: 5.819e-04 P_Replacement: 0.00017465284310254724 + +2023-08-09 13:59:26,663 - train: [ INFO] - Train: 16 [ 64/65 (100%)] Loss: 0.313114 (0.3091) Acc@1: 100.0000 (99.1667) Acc@5: 100.0000 (99.9359) Time: 0.720s, 166.61/s LR: 5.819e-04 P_Replacement: 0.00018146939280837507 + +2023-08-09 13:59:27,669 - train: [ INFO] - Test: [ 0/7] Time: 0.887 (0.887) Loss: 1.8296 (1.8296) cLoss: 0.0000 (0.0000) Acc@1: 50.8333 (50.8333)Acc@5: 82.5000 (82.5000) + +2023-08-09 13:59:29,365 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.323) Loss: 2.5392 (1.8836) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (54.5977)Acc@5: 63.3333 (77.0115) + +2023-08-09 13:59:31,072 - train: [ INFO] - Train: 17 [ 0/65 ( 0%)] Loss: 0.252488 (0.2525) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.456s, 82.39/s LR: 5.814e-04 P_Replacement: 0.00018196296296296293 + +2023-08-09 14:00:06,580 - train: [ INFO] - Train: 17 [ 50/65 ( 78%)] Loss: 0.232031 (0.2765) Acc@1: 100.0000 (99.1994) Acc@5: 100.0000 (99.9183) Time: 0.725s, 165.57/s LR: 5.814e-04 P_Replacement: 0.0002077983614019117 + +2023-08-09 14:00:16,548 - train: [ INFO] - Train: 17 [ 64/65 (100%)] Loss: 0.283273 (0.2727) Acc@1: 99.1667 (99.2564) Acc@5: 100.0000 (99.9359) Time: 0.722s, 166.21/s LR: 5.814e-04 P_Replacement: 0.0002154466270840709 + +2023-08-09 14:00:17,503 - train: [ INFO] - Test: [ 0/7] Time: 0.842 (0.842) Loss: 1.7844 (1.7844) cLoss: 0.0000 (0.0000) Acc@1: 52.5000 (52.5000)Acc@5: 78.3333 (78.3333) + +2023-08-09 14:00:19,169 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.313) Loss: 1.4074 (1.7341) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (58.3908)Acc@5: 83.3333 (80.1149) + +2023-08-09 14:00:19,427 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-17.pth.tar', 58.39080810546875) + +2023-08-09 14:00:20,915 - train: [ INFO] - Train: 18 [ 0/65 ( 0%)] Loss: 0.230661 (0.2307) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.473s, 81.49/s LR: 5.808e-04 P_Replacement: 0.00021599999999999996 + +2023-08-09 14:00:56,332 - train: [ INFO] - Train: 18 [ 50/65 ( 78%)] Loss: 0.225173 (0.2353) Acc@1: 98.3333 (99.5261) Acc@5: 100.0000 (99.9510) Time: 0.723s, 165.91/s LR: 5.808e-04 P_Replacement: 0.00024489259764999414 + +2023-08-09 14:01:06,153 - train: [ INFO] - Train: 18 [ 64/65 (100%)] Loss: 0.264053 (0.2327) Acc@1: 100.0000 (99.5385) Acc@5: 100.0000 (99.9615) Time: 0.719s, 167.00/s LR: 5.808e-04 P_Replacement: 0.0002534204425563478 + +2023-08-09 14:01:07,100 - train: [ INFO] - Test: [ 0/7] Time: 0.846 (0.846) Loss: 1.9150 (1.9150) cLoss: 0.0000 (0.0000) Acc@1: 51.6667 (51.6667)Acc@5: 80.8333 (80.8333) + +2023-08-09 14:01:08,772 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.315) Loss: 1.8472 (1.6924) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (58.7356)Acc@5: 83.3333 (81.3793) + +2023-08-09 14:01:09,033 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-18.pth.tar', 58.73563542859308) + +2023-08-09 14:01:10,498 - train: [ INFO] - Train: 19 [ 0/65 ( 0%)] Loss: 0.215133 (0.2151) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.448s, 82.86/s LR: 5.803e-04 P_Replacement: 0.0002540370370370371 + +2023-08-09 14:01:45,999 - train: [ INFO] - Train: 19 [ 50/65 ( 78%)] Loss: 0.201028 (0.2095) Acc@1: 99.1667 (99.5425) Acc@5: 100.0000 (99.9673) Time: 0.724s, 165.64/s LR: 5.803e-04 P_Replacement: 0.0002861577740690166 + +2023-08-09 14:01:55,960 - train: [ INFO] - Train: 19 [ 64/65 (100%)] Loss: 0.265624 (0.2090) Acc@1: 100.0000 (99.5641) Acc@5: 100.0000 (99.9487) Time: 0.722s, 166.29/s LR: 5.803e-04 P_Replacement: 0.0002956130614474283 + +2023-08-09 14:01:57,000 - train: [ INFO] - Test: [ 0/7] Time: 0.900 (0.900) Loss: 1.3615 (1.3615) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 80.8333 (80.8333) + +2023-08-09 14:01:58,802 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.338) Loss: 1.4715 (1.6665) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (59.8851)Acc@5: 86.6667 (82.1839) + +2023-08-09 14:01:59,041 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-19.pth.tar', 59.88506054056102) + +2023-08-09 14:02:00,525 - train: [ INFO] - Train: 20 [ 0/65 ( 0%)] Loss: 0.193263 (0.1933) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.468s, 81.73/s LR: 5.796e-04 P_Replacement: 0.0002962962962962963 + +2023-08-09 14:02:36,057 - train: [ INFO] - Train: 20 [ 50/65 ( 78%)] Loss: 0.181049 (0.1980) Acc@1: 100.0000 (99.7386) Acc@5: 100.0000 (99.9673) Time: 0.725s, 165.42/s LR: 5.796e-04 P_Replacement: 0.0003318161128812017 + +2023-08-09 14:02:46,035 - train: [ INFO] - Train: 20 [ 64/65 (100%)] Loss: 0.164107 (0.1954) Acc@1: 100.0000 (99.6795) Acc@5: 100.0000 (99.9487) Time: 0.723s, 166.05/s LR: 5.796e-04 P_Replacement: 0.0003422467059795343 + +2023-08-09 14:02:47,017 - train: [ INFO] - Test: [ 0/7] Time: 0.858 (0.858) Loss: 1.5400 (1.5400) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 82.5000 (82.5000) + +2023-08-09 14:02:48,705 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.318) Loss: 1.8117 (1.6168) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (60.3448)Acc@5: 83.3333 (82.1839) + +2023-08-09 14:02:48,969 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-20.pth.tar', 60.344830611656455) + +2023-08-09 14:02:50,439 - train: [ INFO] - Train: 21 [ 0/65 ( 0%)] Loss: 0.169722 (0.1697) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.454s, 82.52/s LR: 5.790e-04 P_Replacement: 0.0003430000000000001 + +2023-08-09 14:03:25,973 - train: [ INFO] - Train: 21 [ 50/65 ( 78%)] Loss: 0.189035 (0.1848) Acc@1: 100.0000 (99.6895) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.47/s LR: 5.790e-04 P_Replacement: 0.00038208983630877116 + +2023-08-09 14:03:35,891 - train: [ INFO] - Train: 21 [ 64/65 (100%)] Loss: 0.166915 (0.1856) Acc@1: 100.0000 (99.6667) Acc@5: 100.0000 (99.9872) Time: 0.722s, 166.30/s LR: 5.790e-04 P_Replacement: 0.00039354359837488837 + +2023-08-09 14:03:36,924 - train: [ INFO] - Test: [ 0/7] Time: 0.874 (0.874) Loss: 1.8362 (1.8362) cLoss: 0.0000 (0.0000) Acc@1: 54.1667 (54.1667)Acc@5: 79.1667 (79.1667) + +2023-08-09 14:03:38,642 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.324) Loss: 1.8359 (1.8685) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (55.0575)Acc@5: 76.6667 (79.5402) + +2023-08-09 14:03:40,312 - train: [ INFO] - Train: 22 [ 0/65 ( 0%)] Loss: 0.172797 (0.1728) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.442s, 83.19/s LR: 5.783e-04 P_Replacement: 0.0003943703703703704 + +2023-08-09 14:04:15,942 - train: [ INFO] - Train: 22 [ 50/65 ( 78%)] Loss: 0.145278 (0.1763) Acc@1: 100.0000 (99.7222) Acc@5: 100.0000 (99.9837) Time: 0.727s, 165.09/s LR: 5.783e-04 P_Replacement: 0.00043720116657394774 + +2023-08-09 14:04:25,955 - train: [ INFO] - Train: 22 [ 64/65 (100%)] Loss: 0.152409 (0.1735) Acc@1: 100.0000 (99.7180) Acc@5: 100.0000 (99.9744) Time: 0.724s, 165.67/s LR: 5.783e-04 P_Replacement: 0.0004497259608557123 + +2023-08-09 14:04:26,957 - train: [ INFO] - Test: [ 0/7] Time: 0.891 (0.891) Loss: 1.7663 (1.7663) cLoss: 0.0000 (0.0000) Acc@1: 57.5000 (57.5000)Acc@5: 80.0000 (80.0000) + +2023-08-09 14:04:28,665 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.325) Loss: 1.7314 (1.8169) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (56.8966)Acc@5: 83.3333 (79.8851) + +2023-08-09 14:04:30,418 - train: [ INFO] - Train: 23 [ 0/65 ( 0%)] Loss: 0.165901 (0.1659) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.460s, 82.20/s LR: 5.776e-04 P_Replacement: 0.00045062962962962955 + +2023-08-09 14:05:05,964 - train: [ INFO] - Train: 23 [ 50/65 ( 78%)] Loss: 0.175757 (0.1754) Acc@1: 99.1667 (99.5752) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.39/s LR: 5.776e-04 P_Replacement: 0.0004973723258989531 + +2023-08-09 14:05:15,868 - train: [ INFO] - Train: 23 [ 64/65 (100%)] Loss: 0.157760 (0.1715) Acc@1: 100.0000 (99.6282) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.29/s LR: 5.776e-04 P_Replacement: 0.0005110160156442287 + +2023-08-09 14:05:16,829 - train: [ INFO] - Test: [ 0/7] Time: 0.850 (0.850) Loss: 1.4125 (1.4125) cLoss: 0.0000 (0.0000) Acc@1: 62.5000 (62.5000)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:05:18,487 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.313) Loss: 1.4139 (1.6219) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (61.0345)Acc@5: 93.3333 (81.8391) + +2023-08-09 14:05:18,765 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-23.pth.tar', 61.034484994822535) + +2023-08-09 14:05:20,222 - train: [ INFO] - Train: 24 [ 0/65 ( 0%)] Loss: 0.206698 (0.2067) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.440s, 83.34/s LR: 5.769e-04 P_Replacement: 0.0005120000000000001 + +2023-08-09 14:05:55,816 - train: [ INFO] - Train: 24 [ 50/65 ( 78%)] Loss: 0.141585 (0.1488) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.26/s LR: 5.769e-04 P_Replacement: 0.0005628255365060101 + +2023-08-09 14:06:05,766 - train: [ INFO] - Train: 24 [ 64/65 (100%)] Loss: 0.116299 (0.1466) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (99.9744) Time: 0.723s, 166.02/s LR: 5.769e-04 P_Replacement: 0.0005776359849626595 + +2023-08-09 14:06:06,755 - train: [ INFO] - Test: [ 0/7] Time: 0.888 (0.888) Loss: 1.4229 (1.4229) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:06:08,446 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.322) Loss: 1.6867 (1.4787) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (63.3333)Acc@5: 90.0000 (83.7931) + +2023-08-09 14:06:08,701 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-24.pth.tar', 63.33333574492356) + +2023-08-09 14:06:10,236 - train: [ INFO] - Train: 25 [ 0/65 ( 0%)] Loss: 0.147815 (0.1478) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.519s, 79.00/s LR: 5.761e-04 P_Replacement: 0.0005787037037037036 + +2023-08-09 14:06:45,814 - train: [ INFO] - Train: 25 [ 50/65 ( 78%)] Loss: 0.133429 (0.1431) Acc@1: 100.0000 (99.6895) Acc@5: 100.0000 (99.9837) Time: 0.727s, 164.99/s LR: 5.761e-04 P_Replacement: 0.0006337830206173402 + +2023-08-09 14:06:55,786 - train: [ INFO] - Train: 25 [ 64/65 (100%)] Loss: 0.153237 (0.1436) Acc@1: 100.0000 (99.7051) Acc@5: 100.0000 (99.9744) Time: 0.724s, 165.73/s LR: 5.761e-04 P_Replacement: 0.0006498080910332273 + +2023-08-09 14:06:56,783 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 1.7212 (1.7212) cLoss: 0.0000 (0.0000) Acc@1: 55.0000 (55.0000)Acc@5: 82.5000 (82.5000) + +2023-08-09 14:06:58,474 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.322) Loss: 1.3282 (1.7012) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (58.5058)Acc@5: 86.6667 (81.9540) + +2023-08-09 14:07:00,217 - train: [ INFO] - Train: 26 [ 0/65 ( 0%)] Loss: 0.150809 (0.1508) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.497s, 80.18/s LR: 5.753e-04 P_Replacement: 0.000650962962962963 + +2023-08-09 14:07:35,783 - train: [ INFO] - Train: 26 [ 50/65 ( 78%)] Loss: 0.113767 (0.1422) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (99.9837) Time: 0.727s, 165.14/s LR: 5.753e-04 P_Replacement: 0.000710467000455166 + +2023-08-09 14:07:45,642 - train: [ INFO] - Train: 26 [ 64/65 (100%)] Loss: 0.137659 (0.1398) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (99.9872) Time: 0.722s, 166.24/s LR: 5.753e-04 P_Replacement: 0.0007277545560781537 + +2023-08-09 14:07:46,632 - train: [ INFO] - Test: [ 0/7] Time: 0.897 (0.897) Loss: 1.5652 (1.5652) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 80.8333 (80.8333) + +2023-08-09 14:07:48,296 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.320) Loss: 1.1112 (1.5841) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (61.4943)Acc@5: 90.0000 (81.7241) + +2023-08-09 14:07:50,022 - train: [ INFO] - Train: 27 [ 0/65 ( 0%)] Loss: 0.170746 (0.1707) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.490s, 80.54/s LR: 5.745e-04 P_Replacement: 0.0007289999999999999 + +2023-08-09 14:08:25,612 - train: [ INFO] - Train: 27 [ 50/65 ( 78%)] Loss: 0.131129 (0.1280) Acc@1: 100.0000 (99.8366) Acc@5: 100.0000 (99.9837) Time: 0.727s, 165.06/s LR: 5.745e-04 P_Replacement: 0.0007930996982417101 + +2023-08-09 14:08:35,575 - train: [ INFO] - Train: 27 [ 64/65 (100%)] Loss: 0.129437 (0.1269) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (99.9872) Time: 0.724s, 165.82/s LR: 5.745e-04 P_Replacement: 0.0008116976023196614 + +2023-08-09 14:08:36,646 - train: [ INFO] - Test: [ 0/7] Time: 0.897 (0.897) Loss: 1.5974 (1.5974) cLoss: 0.0000 (0.0000) Acc@1: 59.1667 (59.1667)Acc@5: 84.1667 (84.1667) + +2023-08-09 14:08:38,342 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.324) Loss: 2.0991 (1.5803) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (60.9195)Acc@5: 76.6667 (82.6437) + +2023-08-09 14:08:40,066 - train: [ INFO] - Train: 28 [ 0/65 ( 0%)] Loss: 0.137885 (0.1379) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.471s, 81.58/s LR: 5.736e-04 P_Replacement: 0.0008130370370370371 + +2023-08-09 14:09:15,672 - train: [ INFO] - Train: 28 [ 50/65 ( 78%)] Loss: 0.110794 (0.1253) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.07/s LR: 5.736e-04 P_Replacement: 0.0008819033361991941 + +2023-08-09 14:09:25,588 - train: [ INFO] - Train: 28 [ 64/65 (100%)] Loss: 0.119890 (0.1280) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (99.9872) Time: 0.723s, 165.99/s LR: 5.736e-04 P_Replacement: 0.0009018594519799727 + +2023-08-09 14:09:26,601 - train: [ INFO] - Test: [ 0/7] Time: 0.891 (0.891) Loss: 1.3688 (1.3688) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:09:28,214 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.313) Loss: 1.8077 (1.5078) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (62.7586)Acc@5: 76.6667 (82.6437) + +2023-08-09 14:09:29,895 - train: [ INFO] - Train: 29 [ 0/65 ( 0%)] Loss: 0.126485 (0.1265) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.445s, 83.05/s LR: 5.728e-04 P_Replacement: 0.0009032962962962962 + +2023-08-09 14:10:05,345 - train: [ INFO] - Train: 29 [ 50/65 ( 78%)] Loss: 0.096759 (0.1212) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (99.9673) Time: 0.723s, 165.89/s LR: 5.728e-04 P_Replacement: 0.0009771001365498407 + +2023-08-09 14:10:15,300 - train: [ INFO] - Train: 29 [ 64/65 (100%)] Loss: 0.099730 (0.1235) Acc@1: 100.0000 (99.8462) Acc@5: 100.0000 (99.9744) Time: 0.721s, 166.50/s LR: 5.728e-04 P_Replacement: 0.0009984623272813093 + +2023-08-09 14:10:16,295 - train: [ INFO] - Test: [ 0/7] Time: 0.875 (0.875) Loss: 1.5100 (1.5100) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 82.5000 (82.5000) + +2023-08-09 14:10:17,962 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.318) Loss: 1.6619 (1.5733) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (62.7586)Acc@5: 86.6667 (82.8736) + +2023-08-09 14:10:19,687 - train: [ INFO] - Train: 30 [ 0/65 ( 0%)] Loss: 0.106035 (0.1060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.475s, 81.38/s LR: 5.718e-04 P_Replacement: 0.0010000000000000002 + +2023-08-09 14:10:55,207 - train: [ INFO] - Train: 30 [ 50/65 ( 78%)] Loss: 0.108899 (0.1183) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.44/s LR: 5.718e-04 P_Replacement: 0.0010789123215158717 + +2023-08-09 14:11:05,100 - train: [ INFO] - Train: 30 [ 64/65 (100%)] Loss: 0.107296 (0.1149) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.37/s LR: 5.718e-04 P_Replacement: 0.0011017284504458943 + +2023-08-09 14:11:06,163 - train: [ INFO] - Test: [ 0/7] Time: 0.897 (0.897) Loss: 1.3909 (1.3909) cLoss: 0.0000 (0.0000) Acc@1: 65.8333 (65.8333)Acc@5: 86.6667 (86.6667) + +2023-08-09 14:11:07,853 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.323) Loss: 2.0702 (1.5192) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (63.4483)Acc@5: 73.3333 (84.0230) + +2023-08-09 14:11:08,122 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-30.pth.tar', 63.448278755977235) + +2023-08-09 14:11:09,617 - train: [ INFO] - Train: 31 [ 0/65 ( 0%)] Loss: 0.106243 (0.1062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.478s, 81.19/s LR: 5.709e-04 P_Replacement: 0.0011033703703703704 + +2023-08-09 14:11:45,136 - train: [ INFO] - Train: 31 [ 50/65 ( 78%)] Loss: 0.112107 (0.1149) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.44/s LR: 5.709e-04 P_Replacement: 0.0011875621133195099 + +2023-08-09 14:11:55,053 - train: [ INFO] - Train: 31 [ 64/65 (100%)] Loss: 0.099208 (0.1132) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.28/s LR: 5.709e-04 P_Replacement: 0.0012118800436959488 + +2023-08-09 14:11:56,015 - train: [ INFO] - Test: [ 0/7] Time: 0.867 (0.867) Loss: 1.3404 (1.3404) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:11:57,664 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.315) Loss: 1.0606 (1.4360) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (64.5977)Acc@5: 90.0000 (83.6782) + +2023-08-09 14:11:57,909 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-31.pth.tar', 64.59770439411032) + +2023-08-09 14:11:59,424 - train: [ INFO] - Train: 32 [ 0/65 ( 0%)] Loss: 0.113124 (0.1131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.499s, 80.04/s LR: 5.699e-04 P_Replacement: 0.0012136296296296298 + +2023-08-09 14:12:35,125 - train: [ INFO] - Train: 32 [ 50/65 ( 78%)] Loss: 0.114419 (0.1115) Acc@1: 100.0000 (99.8366) Acc@5: 100.0000 (99.9837) Time: 0.729s, 164.52/s LR: 5.699e-04 P_Replacement: 0.0013032717341829767 + +2023-08-09 14:12:45,036 - train: [ INFO] - Train: 32 [ 64/65 (100%)] Loss: 0.115329 (0.1117) Acc@1: 100.0000 (99.8333) Acc@5: 100.0000 (99.9872) Time: 0.725s, 165.58/s LR: 5.699e-04 P_Replacement: 0.0013291393292536964 + +2023-08-09 14:12:46,060 - train: [ INFO] - Test: [ 0/7] Time: 0.893 (0.893) Loss: 1.5004 (1.5004) cLoss: 0.0000 (0.0000) Acc@1: 65.8333 (65.8333)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:12:47,716 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.319) Loss: 1.9397 (1.5249) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (62.6437)Acc@5: 86.6667 (83.9081) + +2023-08-09 14:12:49,404 - train: [ INFO] - Train: 33 [ 0/65 ( 0%)] Loss: 0.104850 (0.1048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.438s, 83.46/s LR: 5.689e-04 P_Replacement: 0.001331 + +2023-08-09 14:13:25,092 - train: [ INFO] - Train: 33 [ 50/65 ( 78%)] Loss: 0.098071 (0.1190) Acc@1: 100.0000 (99.7712) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.86/s LR: 5.689e-04 P_Replacement: 0.0014262634063284953 + +2023-08-09 14:13:35,074 - train: [ INFO] - Train: 33 [ 64/65 (100%)] Loss: 0.114861 (0.1165) Acc@1: 100.0000 (99.8077) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.59/s LR: 5.689e-04 P_Replacement: 0.0014537285293413577 + +2023-08-09 14:13:36,105 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 1.4157 (1.4157) cLoss: 0.0000 (0.0000) Acc@1: 62.5000 (62.5000)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:13:37,825 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.329) Loss: 1.5069 (1.3352) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (67.3563)Acc@5: 80.0000 (85.6322) + +2023-08-09 14:13:38,092 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-33.pth.tar', 67.35632429451778) + +2023-08-09 14:13:39,601 - train: [ INFO] - Train: 34 [ 0/65 ( 0%)] Loss: 0.100164 (0.1002) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.490s, 80.53/s LR: 5.679e-04 P_Replacement: 0.0014557037037037034 + +2023-08-09 14:14:15,149 - train: [ INFO] - Train: 34 [ 50/65 ( 78%)] Loss: 0.108239 (0.1013) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.25/s LR: 5.679e-04 P_Replacement: 0.0015567593519782868 + +2023-08-09 14:14:25,096 - train: [ INFO] - Train: 34 [ 64/65 (100%)] Loss: 0.111086 (0.1019) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (99.9872) Time: 0.723s, 166.02/s LR: 5.679e-04 P_Replacement: 0.0015858698661811563 + +2023-08-09 14:14:26,033 - train: [ INFO] - Test: [ 0/7] Time: 0.850 (0.850) Loss: 1.3509 (1.3509) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:14:27,680 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.312) Loss: 1.8204 (1.3155) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (68.1609)Acc@5: 83.3333 (86.3218) + +2023-08-09 14:14:27,907 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-34.pth.tar', 68.16092313569168) + +2023-08-09 14:14:29,339 - train: [ INFO] - Train: 35 [ 0/65 ( 0%)] Loss: 0.125915 (0.1259) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.412s, 85.01/s LR: 5.668e-04 P_Replacement: 0.0015879629629629631 + +2023-08-09 14:15:04,876 - train: [ INFO] - Train: 35 [ 50/65 ( 78%)] Loss: 0.128188 (0.0930) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.65/s LR: 5.668e-04 P_Replacement: 0.0016949817933545747 + +2023-08-09 14:15:14,804 - train: [ INFO] - Train: 35 [ 64/65 (100%)] Loss: 0.112813 (0.0922) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.41/s LR: 5.668e-04 P_Replacement: 0.0017257855619953134 + +2023-08-09 14:15:15,823 - train: [ INFO] - Test: [ 0/7] Time: 0.890 (0.890) Loss: 1.6653 (1.6653) cLoss: 0.0000 (0.0000) Acc@1: 55.8333 (55.8333)Acc@5: 82.5000 (82.5000) + +2023-08-09 14:15:17,499 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.321) Loss: 1.8080 (1.3428) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (66.2069)Acc@5: 83.3333 (86.2069) + +2023-08-09 14:15:19,261 - train: [ INFO] - Train: 36 [ 0/65 ( 0%)] Loss: 0.086477 (0.0865) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.511s, 79.40/s LR: 5.657e-04 P_Replacement: 0.0017279999999999997 + +2023-08-09 14:15:54,846 - train: [ INFO] - Train: 36 [ 50/65 ( 78%)] Loss: 0.100318 (0.0922) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.99/s LR: 5.657e-04 P_Replacement: 0.00184115295267958 + +2023-08-09 14:16:04,754 - train: [ INFO] - Train: 36 [ 64/65 (100%)] Loss: 0.084438 (0.0931) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.96/s LR: 5.657e-04 P_Replacement: 0.0018736978390060523 + +2023-08-09 14:16:05,733 - train: [ INFO] - Test: [ 0/7] Time: 0.853 (0.853) Loss: 1.5237 (1.5237) cLoss: 0.0000 (0.0000) Acc@1: 62.5000 (62.5000)Acc@5: 81.6667 (81.6667) + +2023-08-09 14:16:07,322 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.305) Loss: 1.5819 (1.4529) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.9080)Acc@5: 86.6667 (85.0575) + +2023-08-09 14:16:08,976 - train: [ INFO] - Train: 37 [ 0/65 ( 0%)] Loss: 0.084289 (0.0843) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.409s, 85.14/s LR: 5.646e-04 P_Replacement: 0.0018760370370370372 + +2023-08-09 14:16:44,542 - train: [ INFO] - Train: 37 [ 50/65 ( 78%)] Loss: 0.132409 (0.1135) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.53/s LR: 5.646e-04 P_Replacement: 0.001995495052175526 + +2023-08-09 14:16:54,503 - train: [ INFO] - Train: 37 [ 64/65 (100%)] Loss: 0.116083 (0.1141) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.19/s LR: 5.646e-04 P_Replacement: 0.002029828919435593 + +2023-08-09 14:16:55,504 - train: [ INFO] - Test: [ 0/7] Time: 0.877 (0.877) Loss: 1.6364 (1.6364) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (63.3333)Acc@5: 82.5000 (82.5000) + +2023-08-09 14:16:57,237 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.326) Loss: 1.2241 (1.3328) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (66.6667)Acc@5: 83.3333 (85.7471) + +2023-08-09 14:16:58,970 - train: [ INFO] - Train: 38 [ 0/65 ( 0%)] Loss: 0.137427 (0.1374) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.474s, 81.41/s LR: 5.634e-04 P_Replacement: 0.002032296296296297 + +2023-08-09 14:17:34,527 - train: [ INFO] - Train: 38 [ 50/65 ( 78%)] Loss: 0.094950 (0.1108) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.28/s LR: 5.634e-04 P_Replacement: 0.002158230314064634 + +2023-08-09 14:17:44,500 - train: [ INFO] - Train: 38 [ 64/65 (100%)] Loss: 0.146668 (0.1100) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.96/s LR: 5.634e-04 P_Replacement: 0.002194401025506162 + +2023-08-09 14:17:45,508 - train: [ INFO] - Test: [ 0/7] Time: 0.877 (0.877) Loss: 1.2788 (1.2788) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 88.3333 (88.3333) + +2023-08-09 14:17:47,123 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.311) Loss: 1.7990 (1.4396) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (66.5517)Acc@5: 80.0000 (84.0230) + +2023-08-09 14:17:48,780 - train: [ INFO] - Train: 39 [ 0/65 ( 0%)] Loss: 0.099604 (0.0996) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.401s, 85.63/s LR: 5.623e-04 P_Replacement: 0.002197 + +2023-08-09 14:18:24,337 - train: [ INFO] - Train: 39 [ 50/65 ( 78%)] Loss: 0.084848 (0.0976) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.60/s LR: 5.623e-04 P_Replacement: 0.002329580960569126 + +2023-08-09 14:18:34,254 - train: [ INFO] - Train: 39 [ 64/65 (100%)] Loss: 0.126238 (0.0961) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.41/s LR: 5.623e-04 P_Replacement: 0.002367636379439977 + +2023-08-09 14:18:35,218 - train: [ INFO] - Test: [ 0/7] Time: 0.854 (0.854) Loss: 1.2532 (1.2532) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:18:36,985 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.328) Loss: 1.2933 (1.3683) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (65.6322)Acc@5: 83.3333 (85.7471) + +2023-08-09 14:18:38,696 - train: [ INFO] - Train: 40 [ 0/65 ( 0%)] Loss: 0.098016 (0.0980) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.472s, 81.54/s LR: 5.610e-04 P_Replacement: 0.0023703703703703703 + +2023-08-09 14:19:14,274 - train: [ INFO] - Train: 40 [ 50/65 ( 78%)] Loss: 0.086717 (0.1027) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.21/s LR: 5.610e-04 P_Replacement: 0.0025097692139112253 + +2023-08-09 14:19:24,181 - train: [ INFO] - Train: 40 [ 64/65 (100%)] Loss: 0.085043 (0.1008) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (99.9872) Time: 0.722s, 166.13/s LR: 5.610e-04 P_Replacement: 0.002549757203459262 + +2023-08-09 14:19:25,278 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 1.4389 (1.4389) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 84.1667 (84.1667) + +2023-08-09 14:19:26,913 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.318) Loss: 1.3229 (1.3440) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (66.8966)Acc@5: 93.3333 (86.3218) + +2023-08-09 14:19:28,624 - train: [ INFO] - Train: 41 [ 0/65 ( 0%)] Loss: 0.089477 (0.0895) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.461s, 82.15/s LR: 5.598e-04 P_Replacement: 0.002552629629629629 + +2023-08-09 14:20:04,258 - train: [ INFO] - Train: 41 [ 50/65 ( 78%)] Loss: 0.120931 (0.1026) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (99.9837) Time: 0.727s, 164.99/s LR: 5.598e-04 P_Replacement: 0.0026990172963131547 + +2023-08-09 14:20:14,160 - train: [ INFO] - Train: 41 [ 64/65 (100%)] Loss: 0.091762 (0.1080) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (99.9744) Time: 0.723s, 165.98/s LR: 5.598e-04 P_Replacement: 0.0027409857197862398 + +2023-08-09 14:20:15,116 - train: [ INFO] - Test: [ 0/7] Time: 0.873 (0.873) Loss: 1.3552 (1.3552) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 84.1667 (84.1667) + +2023-08-09 14:20:16,756 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.314) Loss: 1.3226 (1.3276) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (68.6207)Acc@5: 86.6667 (85.9770) + +2023-08-09 14:20:17,000 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-41.pth.tar', 68.62069320678711) + +2023-08-09 14:20:18,491 - train: [ INFO] - Train: 42 [ 0/65 ( 0%)] Loss: 0.095944 (0.0959) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.476s, 81.29/s LR: 5.585e-04 P_Replacement: 0.0027440000000000008 + +2023-08-09 14:20:53,986 - train: [ INFO] - Train: 42 [ 50/65 ( 78%)] Loss: 0.126160 (0.1216) Acc@1: 99.1667 (99.8366) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.54/s LR: 5.585e-04 P_Replacement: 0.0028975474299971346 + +2023-08-09 14:21:03,850 - train: [ INFO] - Train: 42 [ 64/65 (100%)] Loss: 0.129579 (0.1227) Acc@1: 99.1667 (99.8462) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.55/s LR: 5.585e-04 P_Replacement: 0.0029415441506431337 + +2023-08-09 14:21:04,760 - train: [ INFO] - Test: [ 0/7] Time: 0.831 (0.831) Loss: 1.0633 (1.0633) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 88.3333 (88.3333) + +2023-08-09 14:21:06,388 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.307) Loss: 1.0574 (1.2113) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (70.5747)Acc@5: 93.3333 (87.5862) + +2023-08-09 14:21:06,631 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-42.pth.tar', 70.5747149237271) + +2023-08-09 14:21:08,093 - train: [ INFO] - Train: 43 [ 0/65 ( 0%)] Loss: 0.116395 (0.1164) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.446s, 82.97/s LR: 5.572e-04 P_Replacement: 0.002944703703703704 + +2023-08-09 14:21:43,627 - train: [ INFO] - Train: 43 [ 50/65 ( 78%)] Loss: 0.101065 (0.1052) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.50/s LR: 5.572e-04 P_Replacement: 0.0031055818371853875 + +2023-08-09 14:21:53,547 - train: [ INFO] - Train: 43 [ 64/65 (100%)] Loss: 0.106798 (0.1052) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.32/s LR: 5.572e-04 P_Replacement: 0.0031516547182521624 + +2023-08-09 14:21:54,534 - train: [ INFO] - Test: [ 0/7] Time: 0.862 (0.862) Loss: 1.4836 (1.4836) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 80.8333 (80.8333) + +2023-08-09 14:21:56,187 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.314) Loss: 1.1822 (1.4648) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (64.8276)Acc@5: 90.0000 (84.1379) + +2023-08-09 14:21:57,910 - train: [ INFO] - Train: 44 [ 0/65 ( 0%)] Loss: 0.104947 (0.1049) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.471s, 81.56/s LR: 5.559e-04 P_Replacement: 0.003154962962962963 + +2023-08-09 14:22:33,400 - train: [ INFO] - Train: 44 [ 50/65 ( 78%)] Loss: 0.109549 (0.1068) Acc@1: 99.1667 (99.7549) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.59/s LR: 5.559e-04 P_Replacement: 0.003323342740100136 + +2023-08-09 14:22:43,335 - train: [ INFO] - Train: 44 [ 64/65 (100%)] Loss: 0.178455 (0.1111) Acc@1: 100.0000 (99.7564) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.33/s LR: 5.559e-04 P_Replacement: 0.00337153964483555 + +2023-08-09 14:22:44,305 - train: [ INFO] - Test: [ 0/7] Time: 0.844 (0.844) Loss: 1.0962 (1.0962) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 88.3333 (88.3333) + +2023-08-09 14:22:45,934 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.309) Loss: 2.2149 (1.3976) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (67.3563)Acc@5: 70.0000 (84.4828) + +2023-08-09 14:22:47,631 - train: [ INFO] - Train: 45 [ 0/65 ( 0%)] Loss: 0.139185 (0.1392) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.449s, 82.81/s LR: 5.546e-04 P_Replacement: 0.0033749999999999995 + +2023-08-09 14:23:23,199 - train: [ INFO] - Train: 45 [ 50/65 ( 78%)] Loss: 0.130627 (0.1423) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (99.9837) Time: 0.726s, 165.34/s LR: 5.546e-04 P_Replacement: 0.0035510523609636043 + +2023-08-09 14:23:33,095 - train: [ INFO] - Train: 45 [ 64/65 (100%)] Loss: 0.121177 (0.1435) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (99.9872) Time: 0.722s, 166.28/s LR: 5.546e-04 P_Replacement: 0.003601421152615519 + +2023-08-09 14:23:34,048 - train: [ INFO] - Test: [ 0/7] Time: 0.849 (0.849) Loss: 1.1095 (1.1095) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 89.1667 (89.1667) + +2023-08-09 14:23:35,681 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.310) Loss: 1.0635 (1.1848) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (70.3448)Acc@5: 90.0000 (86.8966) + +2023-08-09 14:23:37,382 - train: [ INFO] - Train: 46 [ 0/65 ( 0%)] Loss: 0.142503 (0.1425) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.452s, 82.66/s LR: 5.532e-04 P_Replacement: 0.0036050370370370364 + +2023-08-09 14:24:12,762 - train: [ INFO] - Train: 46 [ 50/65 ( 78%)] Loss: 0.137983 (0.1558) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (99.9837) Time: 0.722s, 166.17/s LR: 5.532e-04 P_Replacement: 0.0037889329219980114 + +2023-08-09 14:24:22,703 - train: [ INFO] - Train: 46 [ 64/65 (100%)] Loss: 0.177480 (0.1555) Acc@1: 100.0000 (99.8333) Acc@5: 100.0000 (99.9872) Time: 0.720s, 166.77/s LR: 5.532e-04 P_Replacement: 0.003841521463814293 + +2023-08-09 14:24:23,713 - train: [ INFO] - Test: [ 0/7] Time: 0.888 (0.888) Loss: 1.5003 (1.5003) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 84.1667 (84.1667) + +2023-08-09 14:24:25,329 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.313) Loss: 2.1624 (1.5196) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (64.0230)Acc@5: 83.3333 (84.4828) + +2023-08-09 14:24:27,074 - train: [ INFO] - Train: 47 [ 0/65 ( 0%)] Loss: 0.118220 (0.1182) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.480s, 81.09/s LR: 5.518e-04 P_Replacement: 0.003845296296296297 + +2023-08-09 14:25:02,579 - train: [ INFO] - Train: 47 [ 50/65 ( 78%)] Loss: 0.096137 (0.1264) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.48/s LR: 5.518e-04 P_Replacement: 0.00403720664542558 + +2023-08-09 14:25:12,494 - train: [ INFO] - Train: 47 [ 64/65 (100%)] Loss: 0.121724 (0.1237) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.32/s LR: 5.518e-04 P_Replacement: 0.004092062800654091 + +2023-08-09 14:25:13,495 - train: [ INFO] - Test: [ 0/7] Time: 0.863 (0.863) Loss: 1.7459 (1.7459) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (60.0000)Acc@5: 76.6667 (76.6667) + +2023-08-09 14:25:15,172 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.318) Loss: 1.0375 (1.4182) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (65.5172)Acc@5: 83.3333 (84.2529) + +2023-08-09 14:25:16,870 - train: [ INFO] - Train: 48 [ 0/65 ( 0%)] Loss: 0.093535 (0.0935) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.472s, 81.52/s LR: 5.503e-04 P_Replacement: 0.004096000000000001 + +2023-08-09 14:25:52,422 - train: [ INFO] - Train: 48 [ 50/65 ( 78%)] Loss: 0.089996 (0.1087) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.31/s LR: 5.503e-04 P_Replacement: 0.004296095753468534 + +2023-08-09 14:26:02,341 - train: [ INFO] - Train: 48 [ 64/65 (100%)] Loss: 0.095966 (0.1052) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.17/s LR: 5.503e-04 P_Replacement: 0.004353267385357137 + +2023-08-09 14:26:03,392 - train: [ INFO] - Test: [ 0/7] Time: 0.903 (0.903) Loss: 1.7435 (1.7435) cLoss: 0.0000 (0.0000) Acc@1: 59.1667 (59.1667)Acc@5: 81.6667 (81.6667) + +2023-08-09 14:26:05,042 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.319) Loss: 1.4582 (1.3794) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (66.4368)Acc@5: 73.3333 (84.7127) + +2023-08-09 14:26:06,754 - train: [ INFO] - Train: 49 [ 0/65 ( 0%)] Loss: 0.083945 (0.0839) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.472s, 81.55/s LR: 5.489e-04 P_Replacement: 0.00435737037037037 + +2023-08-09 14:26:42,270 - train: [ INFO] - Train: 49 [ 50/65 ( 78%)] Loss: 0.109569 (0.1043) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.49/s LR: 5.489e-04 P_Replacement: 0.0045658224683490945 + +2023-08-09 14:26:52,235 - train: [ INFO] - Train: 49 [ 64/65 (100%)] Loss: 0.083092 (0.1057) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.15/s LR: 5.489e-04 P_Replacement: 0.004625357440145653 + +2023-08-09 14:26:53,204 - train: [ INFO] - Test: [ 0/7] Time: 0.844 (0.844) Loss: 1.1184 (1.1184) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 87.5000 (87.5000) + +2023-08-09 14:26:54,902 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.318) Loss: 1.6564 (1.3362) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (67.3563)Acc@5: 80.0000 (85.0575) + +2023-08-09 14:26:56,647 - train: [ INFO] - Train: 50 [ 0/65 ( 0%)] Loss: 0.090973 (0.0910) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.463s, 82.04/s LR: 5.474e-04 P_Replacement: 0.0046296296296296285 + +2023-08-09 14:27:32,205 - train: [ INFO] - Train: 50 [ 50/65 ( 78%)] Loss: 0.075073 (0.1062) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (99.9837) Time: 0.726s, 165.33/s LR: 5.474e-04 P_Replacement: 0.004846609012289486 + +2023-08-09 14:27:42,155 - train: [ INFO] - Train: 50 [ 64/65 (100%)] Loss: 0.085688 (0.1039) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (99.9872) Time: 0.723s, 166.07/s LR: 5.474e-04 P_Replacement: 0.004908555187241861 + +2023-08-09 14:27:43,166 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 1.2920 (1.2920) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 85.0000 (85.0000) + +2023-08-09 14:27:44,818 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.318) Loss: 0.8127 (1.2324) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (68.5057)Acc@5: 96.6667 (86.7816) + +2023-08-09 14:27:46,496 - train: [ INFO] - Train: 51 [ 0/65 ( 0%)] Loss: 0.092057 (0.0921) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.452s, 82.67/s LR: 5.458e-04 P_Replacement: 0.004913000000000001 + +2023-08-09 14:28:22,009 - train: [ INFO] - Train: 51 [ 50/65 ( 78%)] Loss: 0.075860 (0.0962) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.58/s LR: 5.458e-04 P_Replacement: 0.005138677607511927 + +2023-08-09 14:28:31,993 - train: [ INFO] - Train: 51 [ 64/65 (100%)] Loss: 0.063705 (0.0943) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.16/s LR: 5.458e-04 P_Replacement: 0.005203082848867986 + +2023-08-09 14:28:32,997 - train: [ INFO] - Test: [ 0/7] Time: 0.863 (0.863) Loss: 1.2369 (1.2369) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 88.3333 (88.3333) + +2023-08-09 14:28:34,682 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.318) Loss: 1.3792 (1.3090) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (67.7012)Acc@5: 76.6667 (86.3218) + +2023-08-09 14:28:36,443 - train: [ INFO] - Train: 52 [ 0/65 ( 0%)] Loss: 0.093009 (0.0930) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.470s, 81.61/s LR: 5.443e-04 P_Replacement: 0.005207703703703704 + +2023-08-09 14:29:11,987 - train: [ INFO] - Train: 52 [ 50/65 ( 78%)] Loss: 0.067183 (0.0810) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.36/s LR: 5.443e-04 P_Replacement: 0.0054422504762386414 + +2023-08-09 14:29:21,934 - train: [ INFO] - Train: 52 [ 64/65 (100%)] Loss: 0.057599 (0.0808) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 5.443e-04 P_Replacement: 0.005509162647246245 + +2023-08-09 14:29:22,978 - train: [ INFO] - Test: [ 0/7] Time: 0.857 (0.857) Loss: 1.1315 (1.1315) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 86.6667 (86.6667) + +2023-08-09 14:29:24,582 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.308) Loss: 0.9968 (1.1894) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (70.2299)Acc@5: 90.0000 (88.2759) + +2023-08-09 14:29:26,250 - train: [ INFO] - Train: 53 [ 0/65 ( 0%)] Loss: 0.120206 (0.1202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.406s, 85.32/s LR: 5.427e-04 P_Replacement: 0.005513962962962963 + +2023-08-09 14:30:01,778 - train: [ INFO] - Train: 53 [ 50/65 ( 78%)] Loss: 0.095921 (0.0934) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.73/s LR: 5.427e-04 P_Replacement: 0.005757549840691852 + +2023-08-09 14:30:11,743 - train: [ INFO] - Train: 53 [ 64/65 (100%)] Loss: 0.073342 (0.0931) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.34/s LR: 5.427e-04 P_Replacement: 0.005827016804598863 + +2023-08-09 14:30:12,806 - train: [ INFO] - Test: [ 0/7] Time: 0.901 (0.901) Loss: 1.2550 (1.2550) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:30:14,427 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.315) Loss: 1.6101 (1.3281) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (66.5517)Acc@5: 80.0000 (85.6322) + +2023-08-09 14:30:16,202 - train: [ INFO] - Train: 54 [ 0/65 ( 0%)] Loss: 0.070255 (0.0703) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.463s, 82.02/s LR: 5.411e-04 P_Replacement: 0.0058319999999999995 + +2023-08-09 14:30:51,680 - train: [ INFO] - Train: 54 [ 50/65 ( 78%)] Loss: 0.083531 (0.0835) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.68/s LR: 5.411e-04 P_Replacement: 0.006084797923093782 + +2023-08-09 14:31:01,612 - train: [ INFO] - Train: 54 [ 64/65 (100%)] Loss: 0.080191 (0.0811) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.42/s LR: 5.411e-04 P_Replacement: 0.006156867543148063 + +2023-08-09 14:31:02,691 - train: [ INFO] - Test: [ 0/7] Time: 0.890 (0.890) Loss: 0.9341 (0.9341) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 93.3333 (93.3333) + +2023-08-09 14:31:04,268 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.308) Loss: 1.5558 (1.1494) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (70.8046)Acc@5: 80.0000 (89.0805) + +2023-08-09 14:31:04,561 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-54.pth.tar', 70.80460199816474) + +2023-08-09 14:31:06,042 - train: [ INFO] - Train: 55 [ 0/65 ( 0%)] Loss: 0.059493 (0.0595) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.461s, 82.14/s LR: 5.395e-04 P_Replacement: 0.006162037037037035 + +2023-08-09 14:31:41,591 - train: [ INFO] - Train: 55 [ 50/65 ( 78%)] Loss: 0.102009 (0.0922) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (99.9837) Time: 0.726s, 165.37/s LR: 5.395e-04 P_Replacement: 0.00642421694566665 + +2023-08-09 14:31:51,541 - train: [ INFO] - Train: 55 [ 64/65 (100%)] Loss: 0.073569 (0.0909) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (99.9872) Time: 0.722s, 166.11/s LR: 5.395e-04 P_Replacement: 0.0064989370851160685 + +2023-08-09 14:31:52,543 - train: [ INFO] - Test: [ 0/7] Time: 0.897 (0.897) Loss: 1.1639 (1.1639) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 86.6667 (86.6667) + +2023-08-09 14:31:54,186 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.317) Loss: 0.9191 (1.1626) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (70.4598)Acc@5: 90.0000 (87.9310) + +2023-08-09 14:31:55,945 - train: [ INFO] - Train: 56 [ 0/65 ( 0%)] Loss: 0.108100 (0.1081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.479s, 81.12/s LR: 5.378e-04 P_Replacement: 0.006504296296296297 + +2023-08-09 14:32:31,523 - train: [ INFO] - Train: 56 [ 50/65 ( 78%)] Loss: 0.135831 (0.0866) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.16/s LR: 5.378e-04 P_Replacement: 0.006776029130632681 + +2023-08-09 14:32:41,517 - train: [ INFO] - Train: 56 [ 64/65 (100%)] Loss: 0.068917 (0.0859) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.79/s LR: 5.378e-04 P_Replacement: 0.006853447652725097 + +2023-08-09 14:32:42,564 - train: [ INFO] - Test: [ 0/7] Time: 0.874 (0.874) Loss: 1.1487 (1.1487) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 87.5000 (87.5000) + +2023-08-09 14:32:44,165 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.309) Loss: 1.0960 (1.2224) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (71.0345)Acc@5: 83.3333 (86.7816) + +2023-08-09 14:32:44,422 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-56.pth.tar', 71.03448696794182) + +2023-08-09 14:32:45,907 - train: [ INFO] - Train: 57 [ 0/65 ( 0%)] Loss: 0.122743 (0.1227) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.467s, 81.83/s LR: 5.361e-04 P_Replacement: 0.0068590000000000005 + +2023-08-09 14:33:21,437 - train: [ INFO] - Train: 57 [ 50/65 ( 78%)] Loss: 0.085055 (0.0904) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.43/s LR: 5.361e-04 P_Replacement: 0.007140456700214096 + +2023-08-09 14:33:31,417 - train: [ INFO] - Train: 57 [ 64/65 (100%)] Loss: 0.067836 (0.0883) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 5.361e-04 P_Replacement: 0.007220621468197373 + +2023-08-09 14:33:32,477 - train: [ INFO] - Test: [ 0/7] Time: 0.913 (0.913) Loss: 1.3236 (1.3236) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 87.5000 (87.5000) + +2023-08-09 14:33:34,076 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.314) Loss: 1.2539 (1.2388) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (68.9655)Acc@5: 86.6667 (87.8161) + +2023-08-09 14:33:35,789 - train: [ INFO] - Train: 58 [ 0/65 ( 0%)] Loss: 0.099708 (0.0997) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.466s, 81.87/s LR: 5.344e-04 P_Replacement: 0.00722637037037037 + +2023-08-09 14:34:11,389 - train: [ INFO] - Train: 58 [ 50/65 ( 78%)] Loss: 0.138792 (0.0907) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.13/s LR: 5.344e-04 P_Replacement: 0.0075177218766331174 + +2023-08-09 14:34:21,333 - train: [ INFO] - Train: 58 [ 64/65 (100%)] Loss: 0.101939 (0.0965) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 5.344e-04 P_Replacement: 0.00760068075375512 + +2023-08-09 14:34:22,419 - train: [ INFO] - Test: [ 0/7] Time: 0.890 (0.890) Loss: 1.3234 (1.3234) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 87.5000 (87.5000) + +2023-08-09 14:34:24,067 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.317) Loss: 1.1817 (1.1815) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (70.6897)Acc@5: 93.3333 (88.6207) + +2023-08-09 14:34:25,827 - train: [ INFO] - Train: 59 [ 0/65 ( 0%)] Loss: 0.133352 (0.1334) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.464s, 81.99/s LR: 5.327e-04 P_Replacement: 0.007606629629629628 + +2023-08-09 14:35:01,345 - train: [ INFO] - Train: 59 [ 50/65 ( 78%)] Loss: 0.096474 (0.1366) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.50/s LR: 5.327e-04 P_Replacement: 0.007908046882111972 + +2023-08-09 14:35:11,300 - train: [ INFO] - Train: 59 [ 64/65 (100%)] Loss: 0.138599 (0.1375) Acc@1: 99.1667 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.19/s LR: 5.327e-04 P_Replacement: 0.007993847731620558 + +2023-08-09 14:35:12,406 - train: [ INFO] - Test: [ 0/7] Time: 0.915 (0.915) Loss: 1.2503 (1.2503) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 86.6667 (86.6667) + +2023-08-09 14:35:14,138 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.331) Loss: 1.2173 (1.2424) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (70.0000)Acc@5: 96.6667 (87.9310) + +2023-08-09 14:35:15,823 - train: [ INFO] - Train: 60 [ 0/65 ( 0%)] Loss: 0.117009 (0.1170) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.435s, 83.65/s LR: 5.309e-04 P_Replacement: 0.008000000000000002 + +2023-08-09 14:35:51,310 - train: [ INFO] - Train: 60 [ 50/65 ( 78%)] Loss: 0.136232 (0.1428) Acc@1: 100.0000 (99.7222) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 5.309e-04 P_Replacement: 0.008311653938872874 + +2023-08-09 14:36:01,279 - train: [ INFO] - Train: 60 [ 64/65 (100%)] Loss: 0.113083 (0.1403) Acc@1: 100.0000 (99.7692) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 5.309e-04 P_Replacement: 0.008400344624015914 + +2023-08-09 14:36:02,377 - train: [ INFO] - Test: [ 0/7] Time: 0.895 (0.895) Loss: 1.3258 (1.3258) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 86.6667 (86.6667) + +2023-08-09 14:36:03,978 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.312) Loss: 1.3961 (1.4140) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (67.3563)Acc@5: 86.6667 (85.4023) + +2023-08-09 14:36:05,841 - train: [ INFO] - Train: 61 [ 0/65 ( 0%)] Loss: 0.149271 (0.1493) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.530s, 78.45/s LR: 5.292e-04 P_Replacement: 0.008406703703703704 + +2023-08-09 14:36:41,452 - train: [ INFO] - Train: 61 [ 50/65 ( 78%)] Loss: 0.088883 (0.1070) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (99.9837) Time: 0.728s, 164.79/s LR: 5.292e-04 P_Replacement: 0.00872876526913805 + +2023-08-09 14:36:51,432 - train: [ INFO] - Train: 61 [ 64/65 (100%)] Loss: 0.121373 (0.1047) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (99.9872) Time: 0.725s, 165.54/s LR: 5.292e-04 P_Replacement: 0.008820393653163405 + +2023-08-09 14:36:52,452 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 1.2789 (1.2789) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 86.6667 (86.6667) + +2023-08-09 14:36:54,023 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.307) Loss: 2.0073 (1.2331) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (70.5747)Acc@5: 76.6667 (88.3908) + +2023-08-09 14:36:55,728 - train: [ INFO] - Train: 62 [ 0/65 ( 0%)] Loss: 0.106405 (0.1064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.443s, 83.17/s LR: 5.273e-04 P_Replacement: 0.008826962962962964 + +2023-08-09 14:37:31,183 - train: [ INFO] - Train: 62 [ 50/65 ( 78%)] Loss: 0.102213 (0.0917) Acc@1: 99.1667 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.87/s LR: 5.273e-04 P_Replacement: 0.00915960309512972 + +2023-08-09 14:37:41,079 - train: [ INFO] - Train: 62 [ 64/65 (100%)] Loss: 0.084724 (0.0909) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.70/s LR: 5.273e-04 P_Replacement: 0.009254217041285253 + +2023-08-09 14:37:42,164 - train: [ INFO] - Test: [ 0/7] Time: 0.899 (0.899) Loss: 1.2212 (1.2212) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 85.8333 (85.8333) + +2023-08-09 14:37:43,829 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.320) Loss: 1.2913 (1.0534) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (73.7931)Acc@5: 83.3333 (90.0000) + +2023-08-09 14:37:44,096 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-62.pth.tar', 73.79310765759698) + +2023-08-09 14:37:45,603 - train: [ INFO] - Train: 63 [ 0/65 ( 0%)] Loss: 0.089375 (0.0894) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.487s, 80.69/s LR: 5.255e-04 P_Replacement: 0.009260999999999998 + +2023-08-09 14:38:21,182 - train: [ INFO] - Train: 63 [ 50/65 ( 78%)] Loss: 0.129801 (0.0922) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.12/s LR: 5.255e-04 P_Replacement: 0.009604389639070114 + +2023-08-09 14:38:31,106 - train: [ INFO] - Train: 63 [ 64/65 (100%)] Loss: 0.088897 (0.0926) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.00/s LR: 5.255e-04 P_Replacement: 0.009702037010603683 + +2023-08-09 14:38:32,110 - train: [ INFO] - Test: [ 0/7] Time: 0.878 (0.878) Loss: 1.1417 (1.1417) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 86.6667 (86.6667) + +2023-08-09 14:38:33,775 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.318) Loss: 0.9114 (1.0054) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (75.7471)Acc@5: 90.0000 (90.0000) + +2023-08-09 14:38:34,031 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-63.pth.tar', 75.74713055840854) + +2023-08-09 14:38:35,541 - train: [ INFO] - Train: 64 [ 0/65 ( 0%)] Loss: 0.075837 (0.0758) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.491s, 80.49/s LR: 5.236e-04 P_Replacement: 0.009709037037037039 + +2023-08-09 14:39:10,934 - train: [ INFO] - Train: 64 [ 50/65 ( 78%)] Loss: 0.096477 (0.0979) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.93/s LR: 5.236e-04 P_Replacement: 0.010063347123181443 + +2023-08-09 14:39:20,876 - train: [ INFO] - Train: 64 [ 64/65 (100%)] Loss: 0.088092 (0.0973) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.58/s LR: 5.236e-04 P_Replacement: 0.010164075783340921 + +2023-08-09 14:39:21,909 - train: [ INFO] - Test: [ 0/7] Time: 0.894 (0.894) Loss: 1.1718 (1.1718) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 89.1667 (89.1667) + +2023-08-09 14:39:23,483 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.309) Loss: 1.4167 (1.2040) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (71.4943)Acc@5: 86.6667 (88.0460) + +2023-08-09 14:39:25,213 - train: [ INFO] - Train: 65 [ 0/65 ( 0%)] Loss: 0.100195 (0.1002) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.470s, 81.64/s LR: 5.218e-04 P_Replacement: 0.010171296296296298 + +2023-08-09 14:40:00,751 - train: [ INFO] - Train: 65 [ 50/65 ( 78%)] Loss: 0.130346 (0.0985) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.38/s LR: 5.218e-04 P_Replacement: 0.010536697769685936 + +2023-08-09 14:40:10,701 - train: [ INFO] - Train: 65 [ 64/65 (100%)] Loss: 0.136297 (0.1010) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.12/s LR: 5.218e-04 P_Replacement: 0.01064055558171918 + +2023-08-09 14:40:11,699 - train: [ INFO] - Test: [ 0/7] Time: 0.873 (0.873) Loss: 1.0260 (1.0260) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 90.8333 (90.8333) + +2023-08-09 14:40:13,349 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.315) Loss: 0.8512 (1.1475) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (71.9540)Acc@5: 90.0000 (89.1954) + +2023-08-09 14:40:15,095 - train: [ INFO] - Train: 66 [ 0/65 ( 0%)] Loss: 0.104458 (0.1045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.489s, 80.58/s LR: 5.199e-04 P_Replacement: 0.010648 + +2023-08-09 14:40:50,784 - train: [ INFO] - Train: 66 [ 50/65 ( 78%)] Loss: 0.067951 (0.0995) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.62/s LR: 5.199e-04 P_Replacement: 0.011024663800805811 + +2023-08-09 14:41:00,751 - train: [ INFO] - Train: 66 [ 64/65 (100%)] Loss: 0.069675 (0.0978) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.46/s LR: 5.199e-04 P_Replacement: 0.011131698627960688 + +2023-08-09 14:41:01,842 - train: [ INFO] - Test: [ 0/7] Time: 0.892 (0.892) Loss: 1.0325 (1.0325) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 89.1667 (89.1667) + +2023-08-09 14:41:03,543 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.324) Loss: 0.5651 (1.1506) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (73.1035)Acc@5: 96.6667 (88.2759) + +2023-08-09 14:41:05,266 - train: [ INFO] - Train: 67 [ 0/65 ( 0%)] Loss: 0.099598 (0.0996) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.476s, 81.31/s LR: 5.179e-04 P_Replacement: 0.011139370370370369 + +2023-08-09 14:41:40,755 - train: [ INFO] - Train: 67 [ 50/65 ( 78%)] Loss: 0.085204 (0.0863) Acc@1: 99.1667 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.57/s LR: 5.179e-04 P_Replacement: 0.0115274674387633 + +2023-08-09 14:41:50,684 - train: [ INFO] - Train: 67 [ 64/65 (100%)] Loss: 0.073543 (0.0865) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.35/s LR: 5.179e-04 P_Replacement: 0.011637727144287664 + +2023-08-09 14:41:51,766 - train: [ INFO] - Test: [ 0/7] Time: 0.891 (0.891) Loss: 1.1848 (1.1848) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 88.3333 (88.3333) + +2023-08-09 14:41:53,364 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.311) Loss: 0.4998 (1.1262) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (73.4483)Acc@5: 96.6667 (88.6207) + +2023-08-09 14:41:55,129 - train: [ INFO] - Train: 68 [ 0/65 ( 0%)] Loss: 0.072438 (0.0724) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.499s, 80.06/s LR: 5.160e-04 P_Replacement: 0.011645629629629627 + +2023-08-09 14:42:30,636 - train: [ INFO] - Train: 68 [ 50/65 ( 78%)] Loss: 0.103514 (0.0834) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.39/s LR: 5.160e-04 P_Replacement: 0.012045330905780612 + +2023-08-09 14:42:40,588 - train: [ INFO] - Train: 68 [ 64/65 (100%)] Loss: 0.065053 (0.0806) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 5.160e-04 P_Replacement: 0.012158863352922338 + +2023-08-09 14:42:41,618 - train: [ INFO] - Test: [ 0/7] Time: 0.883 (0.883) Loss: 1.1085 (1.1085) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 89.1667 (89.1667) + +2023-08-09 14:42:43,235 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.313) Loss: 0.8463 (1.0375) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (74.1379)Acc@5: 90.0000 (89.1954) + +2023-08-09 14:42:45,066 - train: [ INFO] - Train: 69 [ 0/65 ( 0%)] Loss: 0.063825 (0.0638) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.554s, 77.22/s LR: 5.140e-04 P_Replacement: 0.012167 + +2023-08-09 14:43:20,487 - train: [ INFO] - Train: 69 [ 50/65 ( 78%)] Loss: 0.067652 (0.0840) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.52/s LR: 5.140e-04 P_Replacement: 0.012578476424079974 + +2023-08-09 14:43:30,459 - train: [ INFO] - Train: 69 [ 64/65 (100%)] Loss: 0.075499 (0.0837) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.15/s LR: 5.140e-04 P_Replacement: 0.012695329476086922 + +2023-08-09 14:43:31,516 - train: [ INFO] - Test: [ 0/7] Time: 0.917 (0.917) Loss: 1.3608 (1.3608) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 87.5000 (87.5000) + +2023-08-09 14:43:33,154 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.319) Loss: 0.5654 (1.1298) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (73.3333)Acc@5: 96.6667 (88.1609) + +2023-08-09 14:43:34,969 - train: [ INFO] - Train: 70 [ 0/65 ( 0%)] Loss: 0.079826 (0.0798) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.535s, 78.19/s LR: 5.120e-04 P_Replacement: 0.012703703703703705 + +2023-08-09 14:44:10,385 - train: [ INFO] - Train: 70 [ 50/65 ( 78%)] Loss: 0.069540 (0.0813) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.64/s LR: 5.120e-04 P_Replacement: 0.01312712621588361 + +2023-08-09 14:44:20,235 - train: [ INFO] - Train: 70 [ 64/65 (100%)] Loss: 0.078440 (0.0809) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.68/s LR: 5.120e-04 P_Replacement: 0.013247347736003641 + +2023-08-09 14:44:21,235 - train: [ INFO] - Test: [ 0/7] Time: 0.904 (0.904) Loss: 1.0014 (1.0014) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 93.3333 (93.3333) + +2023-08-09 14:44:22,859 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.316) Loss: 0.8773 (0.9944) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (75.2874)Acc@5: 96.6667 (91.0345) + +2023-08-09 14:44:24,616 - train: [ INFO] - Train: 71 [ 0/65 ( 0%)] Loss: 0.172387 (0.1724) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.497s, 80.14/s LR: 5.099e-04 P_Replacement: 0.013255962962962962 + +2023-08-09 14:45:00,071 - train: [ INFO] - Train: 71 [ 50/65 ( 78%)] Loss: 0.097015 (0.0912) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.63/s LR: 5.099e-04 P_Replacement: 0.013691502503413744 + +2023-08-09 14:45:09,998 - train: [ INFO] - Train: 71 [ 64/65 (100%)] Loss: 0.059912 (0.0893) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.39/s LR: 5.099e-04 P_Replacement: 0.013815140354894721 + +2023-08-09 14:45:11,044 - train: [ INFO] - Test: [ 0/7] Time: 0.860 (0.860) Loss: 1.4261 (1.4261) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 88.3333 (88.3333) + +2023-08-09 14:45:12,625 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.305) Loss: 0.3659 (1.0691) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (72.2989)Acc@5: 100.0000 (91.0345) + +2023-08-09 14:45:14,418 - train: [ INFO] - Train: 72 [ 0/65 ( 0%)] Loss: 0.058843 (0.0588) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.540s, 77.94/s LR: 5.079e-04 P_Replacement: 0.013823999999999998 + +2023-08-09 14:45:49,845 - train: [ INFO] - Train: 72 [ 50/65 ( 78%)] Loss: 0.060367 (0.0808) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.56/s LR: 5.079e-04 P_Replacement: 0.014271827508892599 + +2023-08-09 14:45:59,788 - train: [ INFO] - Train: 72 [ 64/65 (100%)] Loss: 0.068123 (0.0799) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.29/s LR: 5.079e-04 P_Replacement: 0.01439892955498238 + +2023-08-09 14:46:00,772 - train: [ INFO] - Test: [ 0/7] Time: 0.874 (0.874) Loss: 1.3796 (1.3796) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 89.1667 (89.1667) + +2023-08-09 14:46:02,355 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.307) Loss: 0.4667 (0.9746) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (76.3218)Acc@5: 96.6667 (92.0690) + +2023-08-09 14:46:02,627 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-72.pth.tar', 76.32184311439251) + +2023-08-09 14:46:04,099 - train: [ INFO] - Train: 73 [ 0/65 ( 0%)] Loss: 0.092773 (0.0928) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.455s, 82.47/s LR: 5.058e-04 P_Replacement: 0.014408037037037039 + +2023-08-09 14:46:39,620 - train: [ INFO] - Train: 73 [ 50/65 ( 78%)] Loss: 0.085816 (0.0758) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.52/s LR: 5.058e-04 P_Replacement: 0.01486832345454239 + +2023-08-09 14:46:49,517 - train: [ INFO] - Train: 73 [ 64/65 (100%)] Loss: 0.109107 (0.0802) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.42/s LR: 5.058e-04 P_Replacement: 0.014998937558488851 + +2023-08-09 14:46:50,607 - train: [ INFO] - Test: [ 0/7] Time: 0.890 (0.890) Loss: 0.9404 (0.9404) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 92.5000 (92.5000) + +2023-08-09 14:46:52,375 - train: [ INFO] - Test: [ 7/7] Time: 0.109 (0.332) Loss: 1.2544 (1.0073) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (75.5172)Acc@5: 83.3333 (90.3448) + +2023-08-09 14:46:54,070 - train: [ INFO] - Train: 74 [ 0/65 ( 0%)] Loss: 0.134727 (0.1347) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.489s, 80.59/s LR: 5.037e-04 P_Replacement: 0.015008296296296297 + +2023-08-09 14:47:29,583 - train: [ INFO] - Train: 74 [ 50/65 ( 78%)] Loss: 0.062140 (0.0899) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.41/s LR: 5.037e-04 P_Replacement: 0.015481212562585342 + +2023-08-09 14:47:39,542 - train: [ INFO] - Train: 74 [ 64/65 (100%)] Loss: 0.063301 (0.0895) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.11/s LR: 5.037e-04 P_Replacement: 0.015615386587636339 + +2023-08-09 14:47:40,563 - train: [ INFO] - Test: [ 0/7] Time: 0.876 (0.876) Loss: 1.2876 (1.2876) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 89.1667 (89.1667) + +2023-08-09 14:47:42,158 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.309) Loss: 1.1055 (1.0720) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.1035)Acc@5: 83.3333 (89.7701) + +2023-08-09 14:47:43,910 - train: [ INFO] - Train: 75 [ 0/65 ( 0%)] Loss: 0.079196 (0.0792) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.513s, 79.34/s LR: 5.016e-04 P_Replacement: 0.015625 + +2023-08-09 14:48:19,282 - train: [ INFO] - Train: 75 [ 50/65 ( 78%)] Loss: 0.058408 (0.0836) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 5.016e-04 P_Replacement: 0.01611071705524368 + +2023-08-09 14:48:29,202 - train: [ INFO] - Train: 75 [ 64/65 (100%)] Loss: 0.078419 (0.0815) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.66/s LR: 5.016e-04 P_Replacement: 0.016248498864647076 + +2023-08-09 14:48:30,173 - train: [ INFO] - Test: [ 0/7] Time: 0.857 (0.857) Loss: 0.7401 (0.7401) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 14:48:31,720 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.300) Loss: 1.1883 (1.0348) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (74.5977)Acc@5: 86.6667 (89.5402) + +2023-08-09 14:48:33,423 - train: [ INFO] - Train: 76 [ 0/65 ( 0%)] Loss: 0.066767 (0.0668) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.443s, 83.17/s LR: 4.994e-04 P_Replacement: 0.016258370370370374 + +2023-08-09 14:49:08,869 - train: [ INFO] - Train: 76 [ 50/65 ( 78%)] Loss: 0.104599 (0.0750) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.91/s LR: 4.994e-04 P_Replacement: 0.016757059154739632 + +2023-08-09 14:49:18,786 - train: [ INFO] - Train: 76 [ 64/65 (100%)] Loss: 0.055117 (0.0731) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.66/s LR: 4.994e-04 P_Replacement: 0.01689849661174329 + +2023-08-09 14:49:19,797 - train: [ INFO] - Test: [ 0/7] Time: 0.867 (0.867) Loss: 0.8662 (0.8662) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-09 14:49:21,460 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.316) Loss: 0.8332 (0.9316) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (75.8621)Acc@5: 93.3333 (91.4943) + +2023-08-09 14:49:23,188 - train: [ INFO] - Train: 77 [ 0/65 ( 0%)] Loss: 0.052297 (0.0523) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.471s, 81.56/s LR: 4.973e-04 P_Replacement: 0.016908629629629628 + +2023-08-09 14:49:58,693 - train: [ INFO] - Train: 77 [ 50/65 ( 78%)] Loss: 0.064249 (0.0811) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.52/s LR: 4.973e-04 P_Replacement: 0.0174204610832954 + +2023-08-09 14:50:08,688 - train: [ INFO] - Train: 77 [ 64/65 (100%)] Loss: 0.135804 (0.0832) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.07/s LR: 4.973e-04 P_Replacement: 0.017565602051147183 + +2023-08-09 14:50:09,773 - train: [ INFO] - Test: [ 0/7] Time: 0.904 (0.904) Loss: 1.2241 (1.2241) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 90.0000 (90.0000) + +2023-08-09 14:50:11,380 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.314) Loss: 1.1681 (1.1001) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (72.4138)Acc@5: 90.0000 (88.6207) + +2023-08-09 14:50:13,145 - train: [ INFO] - Train: 78 [ 0/65 ( 0%)] Loss: 0.080573 (0.0806) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.498s, 80.08/s LR: 4.951e-04 P_Replacement: 0.017576 + +2023-08-09 14:50:48,548 - train: [ INFO] - Train: 78 [ 50/65 ( 78%)] Loss: 0.095427 (0.0807) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.86/s LR: 4.951e-04 P_Replacement: 0.01810114506313323 + +2023-08-09 14:50:58,491 - train: [ INFO] - Train: 78 [ 64/65 (100%)] Loss: 0.063622 (0.0805) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.52/s LR: 4.951e-04 P_Replacement: 0.018250037405081004 + +2023-08-09 14:50:59,512 - train: [ INFO] - Test: [ 0/7] Time: 0.848 (0.848) Loss: 0.7125 (0.7125) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 94.1667 (94.1667) + +2023-08-09 14:51:01,114 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.306) Loss: 1.0697 (0.9808) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (74.7126)Acc@5: 96.6667 (89.7701) + +2023-08-09 14:51:02,831 - train: [ INFO] - Train: 79 [ 0/65 ( 0%)] Loss: 0.075479 (0.0755) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.443s, 83.14/s LR: 4.929e-04 P_Replacement: 0.0182607037037037 + +2023-08-09 14:51:38,187 - train: [ INFO] - Train: 79 [ 50/65 ( 78%)] Loss: 0.092149 (0.0775) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.32/s LR: 4.929e-04 P_Replacement: 0.018799333316475333 + +2023-08-09 14:51:48,133 - train: [ INFO] - Train: 79 [ 64/65 (100%)] Loss: 0.063964 (0.0756) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.87/s LR: 4.929e-04 P_Replacement: 0.018952024895766962 + +2023-08-09 14:51:49,186 - train: [ INFO] - Test: [ 0/7] Time: 0.873 (0.873) Loss: 1.0904 (1.0904) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 90.0000 (90.0000) + +2023-08-09 14:51:50,795 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.310) Loss: 0.9648 (0.9788) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (75.9770)Acc@5: 93.3333 (91.3793) + +2023-08-09 14:51:52,498 - train: [ INFO] - Train: 80 [ 0/65 ( 0%)] Loss: 0.049788 (0.0498) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.442s, 83.25/s LR: 4.907e-04 P_Replacement: 0.018962962962962963 + +2023-08-09 14:52:27,802 - train: [ INFO] - Train: 80 [ 50/65 ( 78%)] Loss: 0.125693 (0.0938) Acc@1: 99.1667 (99.7549) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.56/s LR: 4.907e-04 P_Replacement: 0.01951524806554392 + +2023-08-09 14:52:37,766 - train: [ INFO] - Train: 80 [ 64/65 (100%)] Loss: 0.086443 (0.0956) Acc@1: 100.0000 (99.7821) Acc@5: 100.0000 (100.0000) Time: 0.719s, 167.00/s LR: 4.907e-04 P_Replacement: 0.019671786745427265 + +2023-08-09 14:52:38,790 - train: [ INFO] - Test: [ 0/7] Time: 0.878 (0.878) Loss: 0.9574 (0.9574) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 89.1667 (89.1667) + +2023-08-09 14:52:40,424 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.314) Loss: 0.9759 (1.0286) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (76.8966)Acc@5: 93.3333 (89.6552) + +2023-08-09 14:52:40,691 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-80.pth.tar', 76.8965546180462) + +2023-08-09 14:52:42,126 - train: [ INFO] - Train: 81 [ 0/65 ( 0%)] Loss: 0.132246 (0.1322) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.423s, 84.35/s LR: 4.884e-04 P_Replacement: 0.019683000000000003 + +2023-08-09 14:53:17,594 - train: [ INFO] - Train: 81 [ 50/65 ( 78%)] Loss: 0.138906 (0.1012) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.91/s LR: 4.884e-04 P_Replacement: 0.02024911153256124 + +2023-08-09 14:53:27,472 - train: [ INFO] - Train: 81 [ 64/65 (100%)] Loss: 0.132879 (0.1002) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.79/s LR: 4.884e-04 P_Replacement: 0.020409545176284162 + +2023-08-09 14:53:28,517 - train: [ INFO] - Test: [ 0/7] Time: 0.898 (0.898) Loss: 0.8002 (0.8002) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 95.0000 (95.0000) + +2023-08-09 14:53:30,123 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.313) Loss: 1.0999 (1.0599) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (74.8276)Acc@5: 93.3333 (89.5402) + +2023-08-09 14:53:31,817 - train: [ INFO] - Train: 82 [ 0/65 ( 0%)] Loss: 0.074334 (0.0743) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.461s, 82.15/s LR: 4.861e-04 P_Replacement: 0.020421037037037033 + +2023-08-09 14:54:07,303 - train: [ INFO] - Train: 82 [ 50/65 ( 78%)] Loss: 0.073392 (0.0926) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.66/s LR: 4.861e-04 P_Replacement: 0.021001145939749485 + +2023-08-09 14:54:17,300 - train: [ INFO] - Train: 82 [ 64/65 (100%)] Loss: 0.052826 (0.0878) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.17/s LR: 4.861e-04 P_Replacement: 0.02116552241055985 + +2023-08-09 14:54:18,326 - train: [ INFO] - Test: [ 0/7] Time: 0.884 (0.884) Loss: 1.1499 (1.1499) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 90.0000 (90.0000) + +2023-08-09 14:54:19,953 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.314) Loss: 0.5007 (1.1157) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (72.4138)Acc@5: 100.0000 (90.5747) + +2023-08-09 14:54:21,729 - train: [ INFO] - Train: 83 [ 0/65 ( 0%)] Loss: 0.051791 (0.0518) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.509s, 79.51/s LR: 4.838e-04 P_Replacement: 0.021177296296296298 + +2023-08-09 14:54:57,315 - train: [ INFO] - Train: 83 [ 50/65 ( 78%)] Loss: 0.087263 (0.0816) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.99/s LR: 4.838e-04 P_Replacement: 0.021771573509330906 + +2023-08-09 14:55:07,340 - train: [ INFO] - Train: 83 [ 64/65 (100%)] Loss: 0.101394 (0.0828) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.54/s LR: 4.838e-04 P_Replacement: 0.021939940670476575 + +2023-08-09 14:55:08,389 - train: [ INFO] - Test: [ 0/7] Time: 0.878 (0.878) Loss: 0.8279 (0.8279) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 14:55:10,064 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.319) Loss: 1.8868 (0.9993) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (76.4368)Acc@5: 86.6667 (91.0345) + +2023-08-09 14:55:11,810 - train: [ INFO] - Train: 84 [ 0/65 ( 0%)] Loss: 0.077187 (0.0772) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.471s, 81.59/s LR: 4.815e-04 P_Replacement: 0.021952000000000006 + +2023-08-09 14:55:47,313 - train: [ INFO] - Train: 84 [ 50/65 ( 78%)] Loss: 0.069411 (0.0883) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.53/s LR: 4.815e-04 P_Replacement: 0.02256061646352771 + +2023-08-09 14:55:57,225 - train: [ INFO] - Train: 84 [ 64/65 (100%)] Loss: 0.103605 (0.0900) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.37/s LR: 4.815e-04 P_Replacement: 0.02273302217825655 + +2023-08-09 14:55:58,273 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 1.3524 (1.3524) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 86.6667 (86.6667) + +2023-08-09 14:55:59,968 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.326) Loss: 0.5168 (1.1497) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (71.9540)Acc@5: 93.3333 (88.7356) + +2023-08-09 14:56:01,624 - train: [ INFO] - Train: 85 [ 0/65 ( 0%)] Loss: 0.096175 (0.0962) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.414s, 84.85/s LR: 4.792e-04 P_Replacement: 0.022745370370370367 + +2023-08-09 14:56:37,002 - train: [ INFO] - Train: 85 [ 50/65 ( 78%)] Loss: 0.104283 (0.0836) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.35/s LR: 4.792e-04 P_Replacement: 0.023368497024562108 + +2023-08-09 14:56:46,985 - train: [ INFO] - Train: 85 [ 64/65 (100%)] Loss: 0.058175 (0.0814) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.77/s LR: 4.792e-04 P_Replacement: 0.023544989156121982 + +2023-08-09 14:56:47,990 - train: [ INFO] - Test: [ 0/7] Time: 0.890 (0.890) Loss: 1.0832 (1.0832) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-09 14:56:49,629 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.316) Loss: 0.4234 (0.9228) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (76.7816)Acc@5: 100.0000 (91.7241) + +2023-08-09 14:56:51,418 - train: [ INFO] - Train: 86 [ 0/65 ( 0%)] Loss: 0.059969 (0.0600) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.509s, 79.50/s LR: 4.768e-04 P_Replacement: 0.023557629629629633 + +2023-08-09 14:57:26,796 - train: [ INFO] - Train: 86 [ 50/65 ( 78%)] Loss: 0.067156 (0.0755) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.92/s LR: 4.768e-04 P_Replacement: 0.02419543741465635 + +2023-08-09 14:57:36,717 - train: [ INFO] - Train: 86 [ 64/65 (100%)] Loss: 0.077154 (0.0758) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.65/s LR: 4.768e-04 P_Replacement: 0.02437606382629512 + +2023-08-09 14:57:37,751 - train: [ INFO] - Test: [ 0/7] Time: 0.880 (0.880) Loss: 0.6738 (0.6738) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 94.1667 (94.1667) + +2023-08-09 14:57:39,308 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.305) Loss: 0.9094 (0.9513) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (76.8966)Acc@5: 90.0000 (91.2644) + +2023-08-09 14:57:39,549 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-86.pth.tar', 76.89655619654162) + +2023-08-09 14:57:41,036 - train: [ INFO] - Train: 87 [ 0/65 ( 0%)] Loss: 0.107126 (0.1071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.470s, 81.66/s LR: 4.745e-04 P_Replacement: 0.024388999999999994 + +2023-08-09 14:58:16,565 - train: [ INFO] - Train: 87 [ 50/65 ( 78%)] Loss: 0.076023 (0.0750) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.42/s LR: 4.745e-04 P_Replacement: 0.025041659856032645 + +2023-08-09 14:58:26,528 - train: [ INFO] - Train: 87 [ 64/65 (100%)] Loss: 0.070584 (0.0726) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.10/s LR: 4.745e-04 P_Replacement: 0.025226468410998158 + +2023-08-09 14:58:27,509 - train: [ INFO] - Test: [ 0/7] Time: 0.872 (0.872) Loss: 0.8378 (0.8378) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 90.0000 (90.0000) + +2023-08-09 14:58:29,155 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.315) Loss: 0.9389 (0.8818) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (77.4713)Acc@5: 93.3333 (92.0690) + +2023-08-09 14:58:29,443 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-87.pth.tar', 77.47127006793845) + +2023-08-09 14:58:30,955 - train: [ INFO] - Train: 88 [ 0/65 ( 0%)] Loss: 0.074860 (0.0749) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.497s, 80.16/s LR: 4.721e-04 P_Replacement: 0.025239703703703705 + +2023-08-09 14:59:06,432 - train: [ INFO] - Train: 88 [ 50/65 ( 78%)] Loss: 0.045148 (0.0721) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.53/s LR: 4.721e-04 P_Replacement: 0.025907386570913196 + +2023-08-09 14:59:16,384 - train: [ INFO] - Train: 88 [ 64/65 (100%)] Loss: 0.044186 (0.0690) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.23/s LR: 4.721e-04 P_Replacement: 0.026096425132453346 + +2023-08-09 14:59:17,394 - train: [ INFO] - Test: [ 0/7] Time: 0.876 (0.876) Loss: 0.8059 (0.8059) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 94.1667 (94.1667) + +2023-08-09 14:59:18,987 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.309) Loss: 0.5425 (0.9281) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (77.2414)Acc@5: 96.6667 (91.1494) + +2023-08-09 14:59:20,741 - train: [ INFO] - Train: 89 [ 0/65 ( 0%)] Loss: 0.056483 (0.0565) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.454s, 82.53/s LR: 4.697e-04 P_Replacement: 0.02610996296296297 + +2023-08-09 14:59:56,205 - train: [ INFO] - Train: 89 [ 50/65 ( 78%)] Loss: 0.046763 (0.0638) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.79/s LR: 4.697e-04 P_Replacement: 0.026792839781520257 + +2023-08-09 15:00:06,140 - train: [ INFO] - Train: 89 [ 64/65 (100%)] Loss: 0.049363 (0.0621) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.49/s LR: 4.697e-04 P_Replacement: 0.026986156212882893 + +2023-08-09 15:00:07,127 - train: [ INFO] - Test: [ 0/7] Time: 0.859 (0.859) Loss: 0.8388 (0.8388) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:00:08,718 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.306) Loss: 1.6460 (0.9765) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (75.6322)Acc@5: 90.0000 (90.4598) + +2023-08-09 15:00:10,442 - train: [ INFO] - Train: 90 [ 0/65 ( 0%)] Loss: 0.044561 (0.0446) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.455s, 82.45/s LR: 4.672e-04 P_Replacement: 0.026999999999999996 + +2023-08-09 15:00:45,866 - train: [ INFO] - Train: 90 [ 50/65 ( 78%)] Loss: 0.049099 (0.0592) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.95/s LR: 4.672e-04 P_Replacement: 0.027698241710076024 + +2023-08-09 15:00:55,815 - train: [ INFO] - Train: 90 [ 64/65 (100%)] Loss: 0.090780 (0.0619) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.57/s LR: 4.672e-04 P_Replacement: 0.027895883874509007 + +2023-08-09 15:00:56,827 - train: [ INFO] - Test: [ 0/7] Time: 0.873 (0.873) Loss: 1.1179 (1.1179) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:00:58,467 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.314) Loss: 1.0576 (0.9254) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (77.9310)Acc@5: 90.0000 (91.4943) + +2023-08-09 15:00:58,722 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-90.pth.tar', 77.9310381659146) + +2023-08-09 15:01:00,177 - train: [ INFO] - Train: 91 [ 0/65 ( 0%)] Loss: 0.050735 (0.0507) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.441s, 83.29/s LR: 4.648e-04 P_Replacement: 0.02791003703703704 + +2023-08-09 15:01:35,563 - train: [ INFO] - Train: 91 [ 50/65 ( 78%)] Loss: 0.048442 (0.0596) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.19/s LR: 4.648e-04 P_Replacement: 0.028623814578802746 + +2023-08-09 15:01:45,549 - train: [ INFO] - Train: 91 [ 64/65 (100%)] Loss: 0.043784 (0.0596) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.63/s LR: 4.648e-04 P_Replacement: 0.02882583033955394 + +2023-08-09 15:01:46,546 - train: [ INFO] - Test: [ 0/7] Time: 0.859 (0.859) Loss: 0.7501 (0.7501) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:01:48,157 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.309) Loss: 0.7463 (0.9050) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.8966)Acc@5: 96.6667 (91.8391) + +2023-08-09 15:01:49,878 - train: [ INFO] - Train: 92 [ 0/65 ( 0%)] Loss: 0.056440 (0.0564) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.474s, 81.41/s LR: 4.623e-04 P_Replacement: 0.02884029629629629 + +2023-08-09 15:02:25,371 - train: [ INFO] - Train: 92 [ 50/65 ( 78%)] Loss: 0.081785 (0.0569) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.57/s LR: 4.623e-04 P_Replacement: 0.029569780609922627 + +2023-08-09 15:02:35,295 - train: [ INFO] - Train: 92 [ 64/65 (100%)] Loss: 0.053011 (0.0570) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 4.623e-04 P_Replacement: 0.02977621783023988 + +2023-08-09 15:02:36,367 - train: [ INFO] - Test: [ 0/7] Time: 0.884 (0.884) Loss: 0.6858 (0.6858) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:02:38,043 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.320) Loss: 0.8658 (0.7762) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (80.2299)Acc@5: 96.6667 (93.9081) + +2023-08-09 15:02:38,309 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-92.pth.tar', 80.22989049451104) + +2023-08-09 15:02:39,799 - train: [ INFO] - Train: 93 [ 0/65 ( 0%)] Loss: 0.040995 (0.0410) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.474s, 81.42/s LR: 4.598e-04 P_Replacement: 0.029790999999999998 + +2023-08-09 15:03:15,145 - train: [ INFO] - Train: 93 [ 50/65 ( 78%)] Loss: 0.053048 (0.0590) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.22/s LR: 4.598e-04 P_Replacement: 0.03053636202565788 + +2023-08-09 15:03:25,082 - train: [ INFO] - Train: 93 [ 64/65 (100%)] Loss: 0.060507 (0.0595) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.83/s LR: 4.598e-04 P_Replacement: 0.030747268568789086 + +2023-08-09 15:03:26,196 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 0.5339 (0.5339) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 15:03:27,857 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.319) Loss: 0.8990 (0.8841) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (77.4713)Acc@5: 96.6667 (92.7586) + +2023-08-09 15:03:29,559 - train: [ INFO] - Train: 94 [ 0/65 ( 0%)] Loss: 0.053557 (0.0536) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.454s, 82.52/s LR: 4.573e-04 P_Replacement: 0.030762370370370377 + +2023-08-09 15:04:05,005 - train: [ INFO] - Train: 94 [ 50/65 ( 78%)] Loss: 0.044164 (0.0620) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.86/s LR: 4.573e-04 P_Replacement: 0.03152378104823075 + +2023-08-09 15:04:14,927 - train: [ INFO] - Train: 94 [ 64/65 (100%)] Loss: 0.108309 (0.0642) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.60/s LR: 4.573e-04 P_Replacement: 0.031739204777423764 + +2023-08-09 15:04:15,903 - train: [ INFO] - Test: [ 0/7] Time: 0.866 (0.866) Loss: 1.1599 (1.1599) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:04:17,519 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.310) Loss: 0.5623 (0.9499) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (74.9425)Acc@5: 100.0000 (91.4943) + +2023-08-09 15:04:19,252 - train: [ INFO] - Train: 95 [ 0/65 ( 0%)] Loss: 0.082983 (0.0830) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.482s, 80.96/s LR: 4.548e-04 P_Replacement: 0.031754629629629626 + +2023-08-09 15:04:54,650 - train: [ INFO] - Train: 95 [ 50/65 ( 78%)] Loss: 0.050830 (0.0673) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.95/s LR: 4.548e-04 P_Replacement: 0.03253225989986344 + +2023-08-09 15:05:04,547 - train: [ INFO] - Train: 95 [ 64/65 (100%)] Loss: 0.062195 (0.0660) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.76/s LR: 4.548e-04 P_Replacement: 0.03275224867836612 + +2023-08-09 15:05:05,608 - train: [ INFO] - Test: [ 0/7] Time: 0.868 (0.868) Loss: 1.0118 (1.0118) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:05:07,304 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.321) Loss: 0.6538 (0.9687) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (76.7816)Acc@5: 93.3333 (90.8046) + +2023-08-09 15:05:09,035 - train: [ INFO] - Train: 96 [ 0/65 ( 0%)] Loss: 0.055904 (0.0559) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.459s, 82.23/s LR: 4.523e-04 P_Replacement: 0.032768000000000005 + +2023-08-09 15:05:44,472 - train: [ INFO] - Train: 96 [ 50/65 ( 78%)] Loss: 0.062372 (0.0655) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.88/s LR: 4.523e-04 P_Replacement: 0.033562020802778196 + +2023-08-09 15:05:54,402 - train: [ INFO] - Train: 96 [ 64/65 (100%)] Loss: 0.062593 (0.0665) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.59/s LR: 4.523e-04 P_Replacement: 0.0337866224938384 + +2023-08-09 15:05:55,442 - train: [ INFO] - Test: [ 0/7] Time: 0.882 (0.882) Loss: 0.7191 (0.7191) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:05:57,099 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.317) Loss: 0.6925 (0.8737) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (78.3908)Acc@5: 96.6667 (91.9540) + +2023-08-09 15:05:58,784 - train: [ INFO] - Train: 97 [ 0/65 ( 0%)] Loss: 0.068557 (0.0686) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.431s, 83.84/s LR: 4.497e-04 P_Replacement: 0.033802703703703696 + +2023-08-09 15:06:34,184 - train: [ INFO] - Train: 97 [ 50/65 ( 78%)] Loss: 0.069066 (0.0651) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.19/s LR: 4.497e-04 P_Replacement: 0.03461328597919723 + +2023-08-09 15:06:44,146 - train: [ INFO] - Train: 97 [ 64/65 (100%)] Loss: 0.050192 (0.0630) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.72/s LR: 4.497e-04 P_Replacement: 0.03484254844606282 + +2023-08-09 15:06:45,187 - train: [ INFO] - Test: [ 0/7] Time: 0.888 (0.888) Loss: 0.8699 (0.8699) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:06:46,802 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.313) Loss: 0.8226 (0.8657) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (79.3103)Acc@5: 93.3333 (92.8736) + +2023-08-09 15:06:48,596 - train: [ INFO] - Train: 98 [ 0/65 ( 0%)] Loss: 0.066128 (0.0661) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.522s, 78.82/s LR: 4.471e-04 P_Replacement: 0.03485896296296296 + +2023-08-09 15:07:24,070 - train: [ INFO] - Train: 98 [ 50/65 ( 78%)] Loss: 0.074679 (0.0576) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.43/s LR: 4.471e-04 P_Replacement: 0.03568627765134273 + +2023-08-09 15:07:33,964 - train: [ INFO] - Train: 98 [ 64/65 (100%)] Loss: 0.049301 (0.0571) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 4.471e-04 P_Replacement: 0.03592024875726158 + +2023-08-09 15:07:35,035 - train: [ INFO] - Test: [ 0/7] Time: 0.903 (0.903) Loss: 0.6721 (0.6721) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 15:07:36,690 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.320) Loss: 0.6230 (0.8901) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (77.5862)Acc@5: 96.6667 (91.8391) + +2023-08-09 15:07:38,452 - train: [ INFO] - Train: 99 [ 0/65 ( 0%)] Loss: 0.044072 (0.0441) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.495s, 80.28/s LR: 4.446e-04 P_Replacement: 0.035937000000000004 + +2023-08-09 15:08:13,817 - train: [ INFO] - Train: 99 [ 50/65 ( 78%)] Loss: 0.047580 (0.0596) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 4.446e-04 P_Replacement: 0.036781218041436976 + +2023-08-09 15:08:23,815 - train: [ INFO] - Train: 99 [ 64/65 (100%)] Loss: 0.068625 (0.0629) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.47/s LR: 4.446e-04 P_Replacement: 0.037019945649656945 + +2023-08-09 15:08:24,839 - train: [ INFO] - Test: [ 0/7] Time: 0.897 (0.897) Loss: 0.7155 (0.7155) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:08:26,418 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.310) Loss: 0.7972 (0.9538) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (76.4368)Acc@5: 86.6667 (91.2644) + +2023-08-09 15:08:28,139 - train: [ INFO] - Train: 100 [ 0/65 ( 0%)] Loss: 0.068606 (0.0686) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.444s, 83.09/s LR: 4.420e-04 P_Replacement: 0.03703703703703703 + +2023-08-09 15:09:03,617 - train: [ INFO] - Train: 100 [ 50/65 ( 78%)] Loss: 0.060717 (0.0726) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 4.420e-04 P_Replacement: 0.03789832937170214 + +2023-08-09 15:09:13,523 - train: [ INFO] - Train: 100 [ 64/65 (100%)] Loss: 0.050715 (0.0719) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.58/s LR: 4.420e-04 P_Replacement: 0.03814186134547109 + +2023-08-09 15:09:14,513 - train: [ INFO] - Test: [ 0/7] Time: 0.880 (0.880) Loss: 1.0967 (1.0967) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 85.8333 (85.8333) + +2023-08-09 15:09:16,102 - train: [ INFO] - Test: [ 7/7] Time: 0.084 (0.309) Loss: 0.8651 (0.8766) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (78.0460)Acc@5: 93.3333 (92.4138) + +2023-08-09 15:09:17,959 - train: [ INFO] - Train: 101 [ 0/65 ( 0%)] Loss: 0.061116 (0.0611) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.532s, 78.35/s LR: 4.393e-04 P_Replacement: 0.038159296296296295 + +2023-08-09 15:09:53,505 - train: [ INFO] - Train: 101 [ 50/65 ( 78%)] Loss: 0.057174 (0.0644) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.07/s LR: 4.393e-04 P_Replacement: 0.03903783386436049 + +2023-08-09 15:10:03,467 - train: [ INFO] - Train: 101 [ 64/65 (100%)] Loss: 0.056953 (0.0627) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.83/s LR: 4.393e-04 P_Replacement: 0.03928621806692628 + +2023-08-09 15:10:04,543 - train: [ INFO] - Test: [ 0/7] Time: 0.900 (0.900) Loss: 0.6787 (0.6787) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:10:06,194 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.319) Loss: 0.2309 (0.8120) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (79.5402)Acc@5: 100.0000 (92.6437) + +2023-08-09 15:10:07,899 - train: [ INFO] - Train: 102 [ 0/65 ( 0%)] Loss: 0.044535 (0.0445) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.434s, 83.66/s LR: 4.367e-04 P_Replacement: 0.039304000000000006 + +2023-08-09 15:10:43,241 - train: [ INFO] - Train: 102 [ 50/65 ( 78%)] Loss: 0.056831 (0.0560) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.42/s LR: 4.367e-04 P_Replacement: 0.04019995374163422 + +2023-08-09 15:10:53,194 - train: [ INFO] - Train: 102 [ 64/65 (100%)] Loss: 0.049043 (0.0553) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.93/s LR: 4.367e-04 P_Replacement: 0.04045323803624472 + +2023-08-09 15:10:54,226 - train: [ INFO] - Test: [ 0/7] Time: 0.895 (0.895) Loss: 1.2849 (1.2849) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:10:55,985 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.332) Loss: 0.3898 (0.8284) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (78.9655)Acc@5: 100.0000 (92.8736) + +2023-08-09 15:10:57,806 - train: [ INFO] - Train: 103 [ 0/65 ( 0%)] Loss: 0.049121 (0.0491) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.507s, 79.65/s LR: 4.340e-04 P_Replacement: 0.040471370370370366 + +2023-08-09 15:11:33,361 - train: [ INFO] - Train: 103 [ 50/65 ( 78%)] Loss: 0.058539 (0.0635) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.15/s LR: 4.340e-04 P_Replacement: 0.04138491122574554 + +2023-08-09 15:11:43,344 - train: [ INFO] - Train: 103 [ 64/65 (100%)] Loss: 0.095462 (0.0656) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.82/s LR: 4.340e-04 P_Replacement: 0.041643143475648604 + +2023-08-09 15:11:44,376 - train: [ INFO] - Test: [ 0/7] Time: 0.894 (0.894) Loss: 0.7549 (0.7549) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:11:45,987 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.313) Loss: 0.9984 (0.8535) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (78.5058)Acc@5: 90.0000 (93.4483) + +2023-08-09 15:11:47,748 - train: [ INFO] - Train: 104 [ 0/65 ( 0%)] Loss: 0.055826 (0.0558) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.473s, 81.44/s LR: 4.314e-04 P_Replacement: 0.04166162962962963 + +2023-08-09 15:12:23,244 - train: [ INFO] - Train: 104 [ 50/65 ( 78%)] Loss: 0.063298 (0.0676) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.55/s LR: 4.314e-04 P_Replacement: 0.042592928538916705 + +2023-08-09 15:12:33,236 - train: [ INFO] - Train: 104 [ 64/65 (100%)] Loss: 0.052616 (0.0681) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.10/s LR: 4.314e-04 P_Replacement: 0.04285615660736021 + +2023-08-09 15:12:34,317 - train: [ INFO] - Test: [ 0/7] Time: 0.938 (0.938) Loss: 0.8582 (0.8582) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:12:36,019 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.330) Loss: 1.2196 (0.9278) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.3218)Acc@5: 86.6667 (91.8391) + +2023-08-09 15:12:37,799 - train: [ INFO] - Train: 105 [ 0/65 ( 0%)] Loss: 0.057838 (0.0578) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.491s, 80.51/s LR: 4.287e-04 P_Replacement: 0.04287499999999999 + +2023-08-09 15:13:13,390 - train: [ INFO] - Train: 105 [ 50/65 ( 78%)] Loss: 0.060681 (0.0662) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.06/s LR: 4.287e-04 P_Replacement: 0.04382422790336992 + +2023-08-09 15:13:23,416 - train: [ INFO] - Train: 105 [ 64/65 (100%)] Loss: 0.075155 (0.0650) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.59/s LR: 4.287e-04 P_Replacement: 0.0440924996536017 + +2023-08-09 15:13:24,508 - train: [ INFO] - Test: [ 0/7] Time: 0.903 (0.903) Loss: 0.6792 (0.6792) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:13:26,167 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.320) Loss: 0.8173 (0.8651) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (77.1264)Acc@5: 93.3333 (92.6437) + +2023-08-09 15:13:27,977 - train: [ INFO] - Train: 106 [ 0/65 ( 0%)] Loss: 0.053751 (0.0538) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.501s, 79.92/s LR: 4.260e-04 P_Replacement: 0.0441117037037037 + +2023-08-09 15:14:03,728 - train: [ INFO] - Train: 106 [ 50/65 ( 78%)] Loss: 0.059848 (0.0610) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.30/s LR: 4.260e-04 P_Replacement: 0.0450790315413274 + +2023-08-09 15:14:13,688 - train: [ INFO] - Train: 106 [ 64/65 (100%)] Loss: 0.057641 (0.0610) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.22/s LR: 4.260e-04 P_Replacement: 0.04535239483659535 + +2023-08-09 15:14:14,670 - train: [ INFO] - Test: [ 0/7] Time: 0.840 (0.840) Loss: 0.8795 (0.8795) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:14:16,305 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.309) Loss: 0.5916 (0.8701) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (78.3908)Acc@5: 96.6667 (92.4138) + +2023-08-09 15:14:18,046 - train: [ INFO] - Train: 107 [ 0/65 ( 0%)] Loss: 0.044952 (0.0450) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.474s, 81.39/s LR: 4.233e-04 P_Replacement: 0.04537196296296297 + +2023-08-09 15:14:53,604 - train: [ INFO] - Train: 107 [ 50/65 ( 78%)] Loss: 0.054789 (0.0626) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.27/s LR: 4.233e-04 P_Replacement: 0.046357561675011386 + +2023-08-09 15:15:03,643 - train: [ INFO] - Train: 107 [ 64/65 (100%)] Loss: 0.076766 (0.0636) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.72/s LR: 4.233e-04 P_Replacement: 0.046636064378563366 + +2023-08-09 15:15:04,751 - train: [ INFO] - Test: [ 0/7] Time: 0.898 (0.898) Loss: 0.8701 (0.8701) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:15:06,426 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.322) Loss: 0.6924 (0.8550) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (78.9655)Acc@5: 100.0000 (92.5287) + +2023-08-09 15:15:08,208 - train: [ INFO] - Train: 108 [ 0/65 ( 0%)] Loss: 0.053827 (0.0538) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.511s, 79.40/s LR: 4.206e-04 P_Replacement: 0.046655999999999996 + +2023-08-09 15:15:43,777 - train: [ INFO] - Train: 108 [ 50/65 ( 78%)] Loss: 0.051467 (0.0623) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.06/s LR: 4.206e-04 P_Replacement: 0.04766004052664407 + +2023-08-09 15:15:53,762 - train: [ INFO] - Train: 108 [ 64/65 (100%)] Loss: 0.042543 (0.0613) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.74/s LR: 4.206e-04 P_Replacement: 0.04794373050172794 + +2023-08-09 15:15:54,840 - train: [ INFO] - Test: [ 0/7] Time: 0.896 (0.896) Loss: 0.9998 (0.9998) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:15:56,429 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.311) Loss: 0.8575 (0.8382) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (79.3104)Acc@5: 90.0000 (92.9885) + +2023-08-09 15:15:58,207 - train: [ INFO] - Train: 109 [ 0/65 ( 0%)] Loss: 0.060583 (0.0606) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.518s, 79.05/s LR: 4.178e-04 P_Replacement: 0.04796403703703704 + +2023-08-09 15:16:33,723 - train: [ INFO] - Train: 109 [ 50/65 ( 78%)] Loss: 0.066625 (0.0648) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.27/s LR: 4.178e-04 P_Replacement: 0.04898669031844771 + +2023-08-09 15:16:43,620 - train: [ INFO] - Train: 109 [ 64/65 (100%)] Loss: 0.041058 (0.0629) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.21/s LR: 4.178e-04 P_Replacement: 0.04927561542831133 + +2023-08-09 15:16:44,628 - train: [ INFO] - Test: [ 0/7] Time: 0.864 (0.864) Loss: 0.7119 (0.7119) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:16:46,362 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.325) Loss: 1.5894 (0.8396) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (78.6207)Acc@5: 80.0000 (93.2184) + +2023-08-09 15:16:48,078 - train: [ INFO] - Train: 110 [ 0/65 ( 0%)] Loss: 0.050142 (0.0501) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.420s, 84.48/s LR: 4.151e-04 P_Replacement: 0.04929629629629628 + +2023-08-09 15:17:23,654 - train: [ INFO] - Train: 110 [ 50/65 ( 78%)] Loss: 0.067538 (0.0572) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.44/s LR: 4.151e-04 P_Replacement: 0.05033773327264452 + +2023-08-09 15:17:33,636 - train: [ INFO] - Train: 110 [ 64/65 (100%)] Loss: 0.074431 (0.0562) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 4.151e-04 P_Replacement: 0.050631941380535755 + +2023-08-09 15:17:34,714 - train: [ INFO] - Test: [ 0/7] Time: 0.912 (0.912) Loss: 0.9036 (0.9036) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:17:36,344 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.318) Loss: 0.7569 (0.8702) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (78.6207)Acc@5: 93.3333 (92.1839) + +2023-08-09 15:17:38,085 - train: [ INFO] - Train: 111 [ 0/65 ( 0%)] Loss: 0.041034 (0.0410) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.477s, 81.25/s LR: 4.123e-04 P_Replacement: 0.050653 + +2023-08-09 15:18:13,721 - train: [ INFO] - Train: 111 [ 50/65 ( 78%)] Loss: 0.058226 (0.0526) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.91/s LR: 4.123e-04 P_Replacement: 0.051713391611456695 + +2023-08-09 15:18:23,733 - train: [ INFO] - Train: 111 [ 64/65 (100%)] Loss: 0.058679 (0.0521) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.53/s LR: 4.123e-04 P_Replacement: 0.05201293058062341 + +2023-08-09 15:18:24,763 - train: [ INFO] - Test: [ 0/7] Time: 0.884 (0.884) Loss: 0.8208 (0.8208) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:18:26,589 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.339) Loss: 1.1761 (0.8610) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (78.7356)Acc@5: 90.0000 (92.5287) + +2023-08-09 15:18:28,309 - train: [ INFO] - Train: 112 [ 0/65 ( 0%)] Loss: 0.042538 (0.0425) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.435s, 83.61/s LR: 4.096e-04 P_Replacement: 0.05203437037037038 + +2023-08-09 15:19:03,876 - train: [ INFO] - Train: 112 [ 50/65 ( 78%)] Loss: 0.047179 (0.0535) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.41/s LR: 4.096e-04 P_Replacement: 0.0531138875571065 + +2023-08-09 15:19:13,790 - train: [ INFO] - Train: 112 [ 64/65 (100%)] Loss: 0.050455 (0.0515) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.26/s LR: 4.096e-04 P_Replacement: 0.05341880525079655 + +2023-08-09 15:19:14,830 - train: [ INFO] - Test: [ 0/7] Time: 0.911 (0.911) Loss: 0.7343 (0.7343) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:19:16,483 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.321) Loss: 1.6809 (0.8202) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (78.0460)Acc@5: 86.6667 (92.7586) + +2023-08-09 15:19:18,285 - train: [ INFO] - Train: 113 [ 0/65 ( 0%)] Loss: 0.052156 (0.0522) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.529s, 78.49/s LR: 4.068e-04 P_Replacement: 0.05344062962962962 + +2023-08-09 15:19:53,868 - train: [ INFO] - Train: 113 [ 50/65 ( 78%)] Loss: 0.056742 (0.0477) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.92/s LR: 4.068e-04 P_Replacement: 0.0545394433318161 + +2023-08-09 15:20:03,895 - train: [ INFO] - Train: 113 [ 64/65 (100%)] Loss: 0.040672 (0.0462) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.48/s LR: 4.068e-04 P_Replacement: 0.054849787613277357 + +2023-08-09 15:20:04,925 - train: [ INFO] - Test: [ 0/7] Time: 0.886 (0.886) Loss: 0.6828 (0.6828) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 15:20:06,550 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.314) Loss: 0.9831 (0.8326) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (78.5058)Acc@5: 90.0000 (92.9885) + +2023-08-09 15:20:08,318 - train: [ INFO] - Train: 114 [ 0/65 ( 0%)] Loss: 0.037703 (0.0377) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.491s, 80.48/s LR: 4.040e-04 P_Replacement: 0.054872000000000004 + +2023-08-09 15:20:43,840 - train: [ INFO] - Train: 114 [ 50/65 ( 78%)] Loss: 0.042396 (0.0471) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.36/s LR: 4.040e-04 P_Replacement: 0.055990281157807784 + +2023-08-09 15:20:53,781 - train: [ INFO] - Train: 114 [ 64/65 (100%)] Loss: 0.051151 (0.0464) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.13/s LR: 4.040e-04 P_Replacement: 0.056306099890288105 + +2023-08-09 15:20:54,735 - train: [ INFO] - Test: [ 0/7] Time: 0.835 (0.835) Loss: 0.7857 (0.7857) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:20:56,329 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.304) Loss: 0.7816 (0.7750) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.1494)Acc@5: 93.3333 (93.4483) + +2023-08-09 15:20:56,592 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-114.pth.tar', 81.14943011053677) + +2023-08-09 15:20:58,055 - train: [ INFO] - Train: 115 [ 0/65 ( 0%)] Loss: 0.046042 (0.0460) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.448s, 82.86/s LR: 4.012e-04 P_Replacement: 0.056328703703703714 + +2023-08-09 15:21:33,586 - train: [ INFO] - Train: 115 [ 50/65 ( 78%)] Loss: 0.047088 (0.0413) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.51/s LR: 4.012e-04 P_Replacement: 0.057466623257303735 + +2023-08-09 15:21:43,549 - train: [ INFO] - Train: 115 [ 64/65 (100%)] Loss: 0.047356 (0.0430) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.17/s LR: 4.012e-04 P_Replacement: 0.05778796430405099 + +2023-08-09 15:21:44,580 - train: [ INFO] - Test: [ 0/7] Time: 0.895 (0.895) Loss: 0.4233 (0.4233) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 15:21:46,236 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.319) Loss: 0.7095 (0.8039) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (79.5402)Acc@5: 100.0000 (92.6437) + +2023-08-09 15:21:48,015 - train: [ INFO] - Train: 116 [ 0/65 ( 0%)] Loss: 0.052177 (0.0522) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.513s, 79.32/s LR: 3.983e-04 P_Replacement: 0.05781096296296296 + +2023-08-09 15:22:23,639 - train: [ INFO] - Train: 116 [ 50/65 ( 78%)] Loss: 0.066139 (0.0564) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.81/s LR: 3.983e-04 P_Replacement: 0.058968691852526164 + +2023-08-09 15:22:33,615 - train: [ INFO] - Train: 116 [ 64/65 (100%)] Loss: 0.048665 (0.0549) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.57/s LR: 3.983e-04 P_Replacement: 0.05929560307678821 + +2023-08-09 15:22:34,632 - train: [ INFO] - Test: [ 0/7] Time: 0.880 (0.880) Loss: 0.9098 (0.9098) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:22:36,264 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.314) Loss: 0.6364 (0.8212) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (79.1954)Acc@5: 96.6667 (93.6782) + +2023-08-09 15:22:37,992 - train: [ INFO] - Train: 117 [ 0/65 ( 0%)] Loss: 0.045361 (0.0454) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.443s, 83.15/s LR: 3.955e-04 P_Replacement: 0.059319000000000004 + +2023-08-09 15:23:13,417 - train: [ INFO] - Train: 117 [ 50/65 ( 78%)] Loss: 0.042487 (0.0510) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.01/s LR: 3.955e-04 P_Replacement: 0.060496709165697334 + +2023-08-09 15:23:23,284 - train: [ INFO] - Train: 117 [ 64/65 (100%)] Loss: 0.039153 (0.0498) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.91/s LR: 3.955e-04 P_Replacement: 0.060829238430722035 + +2023-08-09 15:23:24,322 - train: [ INFO] - Test: [ 0/7] Time: 0.915 (0.915) Loss: 0.5637 (0.5637) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:23:26,036 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.328) Loss: 0.8620 (0.7389) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.8391)Acc@5: 90.0000 (94.5977) + +2023-08-09 15:23:26,298 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-117.pth.tar', 81.83908633528084) + +2023-08-09 15:23:27,753 - train: [ INFO] - Train: 118 [ 0/65 ( 0%)] Loss: 0.053017 (0.0530) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.436s, 83.59/s LR: 3.927e-04 P_Replacement: 0.060853037037037025 + +2023-08-09 15:24:03,230 - train: [ INFO] - Train: 118 [ 50/65 ( 78%)] Loss: 0.044867 (0.0443) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.82/s LR: 3.927e-04 P_Replacement: 0.06205089741903944 + +2023-08-09 15:24:13,239 - train: [ INFO] - Train: 118 [ 64/65 (100%)] Loss: 0.077633 (0.0460) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.25/s LR: 3.927e-04 P_Replacement: 0.06238909258807464 + +2023-08-09 15:24:14,251 - train: [ INFO] - Test: [ 0/7] Time: 0.909 (0.909) Loss: 0.8593 (0.8593) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:24:15,933 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.324) Loss: 1.3630 (0.7782) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (80.0000)Acc@5: 83.3333 (93.2184) + +2023-08-09 15:24:17,698 - train: [ INFO] - Train: 119 [ 0/65 ( 0%)] Loss: 0.050877 (0.0509) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.534s, 78.23/s LR: 3.898e-04 P_Replacement: 0.0624132962962963 + +2023-08-09 15:24:53,320 - train: [ INFO] - Train: 119 [ 50/65 ( 78%)] Loss: 0.039679 (0.0512) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.72/s LR: 3.898e-04 P_Replacement: 0.06363147883477469 + +2023-08-09 15:25:03,350 - train: [ INFO] - Train: 119 [ 64/65 (100%)] Loss: 0.045463 (0.0499) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.31/s LR: 3.898e-04 P_Replacement: 0.06397538777106829 + +2023-08-09 15:25:04,468 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 1.0823 (1.0823) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:25:06,207 - train: [ INFO] - Test: [ 7/7] Time: 0.123 (0.333) Loss: 0.5358 (0.8126) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (79.6552)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:25:08,044 - train: [ INFO] - Train: 120 [ 0/65 ( 0%)] Loss: 0.044902 (0.0449) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.537s, 78.09/s LR: 3.870e-04 P_Replacement: 0.06400000000000002 + +2023-08-09 15:25:43,726 - train: [ INFO] - Train: 120 [ 50/65 ( 78%)] Loss: 0.045924 (0.0422) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.45/s LR: 3.870e-04 P_Replacement: 0.06523867563512535 + +2023-08-09 15:25:53,700 - train: [ INFO] - Train: 120 [ 64/65 (100%)] Loss: 0.032929 (0.0421) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.29/s LR: 3.870e-04 P_Replacement: 0.06558834620192519 + +2023-08-09 15:25:54,728 - train: [ INFO] - Test: [ 0/7] Time: 0.881 (0.881) Loss: 0.6588 (0.6588) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:25:56,401 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.319) Loss: 0.3831 (0.7635) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (80.9195)Acc@5: 96.6667 (93.1035) + +2023-08-09 15:25:58,152 - train: [ INFO] - Train: 121 [ 0/65 ( 0%)] Loss: 0.036282 (0.0363) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.486s, 80.74/s LR: 3.841e-04 P_Replacement: 0.06561337037037036 + +2023-08-09 15:26:33,645 - train: [ INFO] - Train: 121 [ 50/65 ( 78%)] Loss: 0.054703 (0.0447) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.51/s LR: 3.841e-04 P_Replacement: 0.06687271004231359 + +2023-08-09 15:26:43,582 - train: [ INFO] - Train: 121 [ 64/65 (100%)] Loss: 0.039529 (0.0451) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.26/s LR: 3.841e-04 P_Replacement: 0.06722819010286754 + +2023-08-09 15:26:44,621 - train: [ INFO] - Test: [ 0/7] Time: 0.909 (0.909) Loss: 0.7974 (0.7974) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:26:46,239 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.316) Loss: 1.0554 (0.7937) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (79.8851)Acc@5: 86.6667 (92.9885) + +2023-08-09 15:26:48,031 - train: [ INFO] - Train: 122 [ 0/65 ( 0%)] Loss: 0.036053 (0.0361) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.518s, 79.07/s LR: 3.812e-04 P_Replacement: 0.06725362962962964 + +2023-08-09 15:27:23,495 - train: [ INFO] - Train: 122 [ 50/65 ( 78%)] Loss: 0.047401 (0.0460) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.50/s LR: 3.812e-04 P_Replacement: 0.06853380427856168 + +2023-08-09 15:27:33,408 - train: [ INFO] - Train: 122 [ 64/65 (100%)] Loss: 0.038897 (0.0463) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.34/s LR: 3.812e-04 P_Replacement: 0.0688951416961176 + +2023-08-09 15:27:34,377 - train: [ INFO] - Test: [ 0/7] Time: 0.855 (0.855) Loss: 0.7704 (0.7704) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:27:35,918 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.299) Loss: 1.0641 (0.8031) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (79.7701)Acc@5: 96.6667 (92.0690) + +2023-08-09 15:27:37,660 - train: [ INFO] - Train: 123 [ 0/65 ( 0%)] Loss: 0.044230 (0.0442) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.510s, 79.48/s LR: 3.783e-04 P_Replacement: 0.06892099999999998 + +2023-08-09 15:28:13,056 - train: [ INFO] - Train: 123 [ 50/65 ( 78%)] Loss: 0.067837 (0.0408) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.84/s LR: 3.783e-04 P_Replacement: 0.07022218056609182 + +2023-08-09 15:28:22,961 - train: [ INFO] - Train: 123 [ 64/65 (100%)] Loss: 0.040849 (0.0398) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.64/s LR: 3.783e-04 P_Replacement: 0.07058942320389755 + +2023-08-09 15:28:23,946 - train: [ INFO] - Test: [ 0/7] Time: 0.882 (0.882) Loss: 0.7620 (0.7620) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:28:25,556 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.312) Loss: 0.7263 (0.8093) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.3448)Acc@5: 86.6667 (91.9540) + +2023-08-09 15:28:27,303 - train: [ INFO] - Train: 124 [ 0/65 ( 0%)] Loss: 0.037983 (0.0380) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.477s, 81.25/s LR: 3.754e-04 P_Replacement: 0.07061570370370371 + +2023-08-09 15:29:02,815 - train: [ INFO] - Train: 124 [ 50/65 ( 78%)] Loss: 0.054055 (0.0477) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.47/s LR: 3.754e-04 P_Replacement: 0.07193806112712621 + +2023-08-09 15:29:12,798 - train: [ INFO] - Train: 124 [ 64/65 (100%)] Loss: 0.032690 (0.0467) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.07/s LR: 3.754e-04 P_Replacement: 0.07231125684842968 + +2023-08-09 15:29:13,808 - train: [ INFO] - Test: [ 0/7] Time: 0.875 (0.875) Loss: 0.9333 (0.9333) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:29:15,537 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.326) Loss: 1.0375 (0.8532) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (78.9655)Acc@5: 86.6667 (92.4138) + +2023-08-09 15:29:17,246 - train: [ INFO] - Train: 125 [ 0/65 ( 0%)] Loss: 0.047222 (0.0472) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.443s, 83.16/s LR: 3.725e-04 P_Replacement: 0.07233796296296298 + +2023-08-09 15:29:52,755 - train: [ INFO] - Train: 125 [ 50/65 ( 78%)] Loss: 0.054102 (0.0437) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.67/s LR: 3.725e-04 P_Replacement: 0.07368166818388712 + +2023-08-09 15:30:02,661 - train: [ INFO] - Train: 125 [ 64/65 (100%)] Loss: 0.047089 (0.0447) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.50/s LR: 3.725e-04 P_Replacement: 0.07406086485193615 + +2023-08-09 15:30:03,652 - train: [ INFO] - Test: [ 0/7] Time: 0.878 (0.878) Loss: 0.8912 (0.8912) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:30:05,293 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.315) Loss: 0.9205 (0.8732) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (78.3908)Acc@5: 96.6667 (92.7586) + +2023-08-09 15:30:07,026 - train: [ INFO] - Train: 126 [ 0/65 ( 0%)] Loss: 0.067620 (0.0676) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.464s, 81.94/s LR: 3.696e-04 P_Replacement: 0.07408799999999999 + +2023-08-09 15:30:42,502 - train: [ INFO] - Train: 126 [ 50/65 ( 78%)] Loss: 0.051890 (0.0485) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.68/s LR: 3.696e-04 P_Replacement: 0.07545322395859673 + +2023-08-09 15:30:52,488 - train: [ INFO] - Train: 126 [ 64/65 (100%)] Loss: 0.053992 (0.0487) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.23/s LR: 3.696e-04 P_Replacement: 0.07583846943663917 + +2023-08-09 15:30:53,553 - train: [ INFO] - Test: [ 0/7] Time: 0.891 (0.891) Loss: 0.7055 (0.7055) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:30:55,237 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.322) Loss: 0.5012 (0.7972) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.1494)Acc@5: 93.3333 (92.6437) + +2023-08-09 15:30:56,965 - train: [ INFO] - Train: 127 [ 0/65 ( 0%)] Loss: 0.051118 (0.0511) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.456s, 82.42/s LR: 3.667e-04 P_Replacement: 0.07586603703703704 + +2023-08-09 15:31:32,346 - train: [ INFO] - Train: 127 [ 50/65 ( 78%)] Loss: 0.042921 (0.0477) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.16/s LR: 3.667e-04 P_Replacement: 0.0772529506734773 + +2023-08-09 15:31:42,322 - train: [ INFO] - Train: 127 [ 64/65 (100%)] Loss: 0.038605 (0.0466) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.64/s LR: 3.667e-04 P_Replacement: 0.07764429282476104 + +2023-08-09 15:31:43,339 - train: [ INFO] - Test: [ 0/7] Time: 0.872 (0.872) Loss: 0.6162 (0.6162) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:31:44,890 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.303) Loss: 0.4635 (0.7679) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.2299)Acc@5: 96.6667 (93.4483) + +2023-08-09 15:31:46,681 - train: [ INFO] - Train: 128 [ 0/65 ( 0%)] Loss: 0.040469 (0.0405) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.513s, 79.32/s LR: 3.637e-04 P_Replacement: 0.07767229629629631 + +2023-08-09 15:32:22,219 - train: [ INFO] - Train: 128 [ 50/65 ( 78%)] Loss: 0.028405 (0.0370) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.19/s LR: 3.637e-04 P_Replacement: 0.07908107055075103 + +2023-08-09 15:32:32,124 - train: [ INFO] - Train: 128 [ 64/65 (100%)] Loss: 0.045241 (0.0370) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.13/s LR: 3.637e-04 P_Replacement: 0.07947855723852393 + +2023-08-09 15:32:33,145 - train: [ INFO] - Test: [ 0/7] Time: 0.894 (0.894) Loss: 0.8393 (0.8393) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:32:34,841 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.324) Loss: 1.1864 (0.7818) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (79.4253)Acc@5: 90.0000 (93.4483) + +2023-08-09 15:32:36,621 - train: [ INFO] - Train: 129 [ 0/65 ( 0%)] Loss: 0.030147 (0.0301) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.464s, 81.95/s LR: 3.608e-04 P_Replacement: 0.079507 + +2023-08-09 15:33:12,076 - train: [ INFO] - Train: 129 [ 50/65 ( 78%)] Loss: 0.061544 (0.0376) Acc@1: 99.1667 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.78/s LR: 3.608e-04 P_Replacement: 0.08093780581264012 + +2023-08-09 15:33:22,012 - train: [ INFO] - Train: 129 [ 64/65 (100%)] Loss: 0.038265 (0.0389) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.48/s LR: 3.608e-04 P_Replacement: 0.08134148490015003 + +2023-08-09 15:33:23,045 - train: [ INFO] - Test: [ 0/7] Time: 0.896 (0.896) Loss: 0.9004 (0.9004) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:33:24,669 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.315) Loss: 1.3523 (0.8498) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (77.7012)Acc@5: 86.6667 (93.2184) + +2023-08-09 15:33:26,421 - train: [ INFO] - Train: 130 [ 0/65 ( 0%)] Loss: 0.038219 (0.0382) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.477s, 81.22/s LR: 3.578e-04 P_Replacement: 0.08137037037037038 + +2023-08-09 15:34:01,877 - train: [ INFO] - Train: 130 [ 50/65 ( 78%)] Loss: 0.030084 (0.0360) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.72/s LR: 3.578e-04 P_Replacement: 0.08282337868136685 + +2023-08-09 15:34:11,823 - train: [ INFO] - Train: 130 [ 64/65 (100%)] Loss: 0.036885 (0.0361) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.39/s LR: 3.578e-04 P_Replacement: 0.08323329803186164 + +2023-08-09 15:34:12,865 - train: [ INFO] - Test: [ 0/7] Time: 0.875 (0.875) Loss: 0.6875 (0.6875) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:34:14,439 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.306) Loss: 0.2730 (0.7175) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (81.1494)Acc@5: 100.0000 (94.4828) + +2023-08-09 15:34:16,200 - train: [ INFO] - Train: 131 [ 0/65 ( 0%)] Loss: 0.040958 (0.0410) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.493s, 80.36/s LR: 3.549e-04 P_Replacement: 0.08326262962962962 + +2023-08-09 15:34:51,770 - train: [ INFO] - Train: 131 [ 50/65 ( 78%)] Loss: 0.024861 (0.0363) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.13/s LR: 3.549e-04 P_Replacement: 0.0847380113791534 + +2023-08-09 15:35:01,815 - train: [ INFO] - Train: 131 [ 64/65 (100%)] Loss: 0.027792 (0.0364) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.59/s LR: 3.549e-04 P_Replacement: 0.0851542188558809 + +2023-08-09 15:35:02,818 - train: [ INFO] - Test: [ 0/7] Time: 0.866 (0.866) Loss: 0.9430 (0.9430) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:35:04,441 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.311) Loss: 0.9426 (0.7655) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (79.5402)Acc@5: 90.0000 (94.2529) + +2023-08-09 15:35:06,270 - train: [ INFO] - Train: 132 [ 0/65 ( 0%)] Loss: 0.035273 (0.0353) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.516s, 79.14/s LR: 3.519e-04 P_Replacement: 0.085184 + +2023-08-09 15:35:41,889 - train: [ INFO] - Train: 132 [ 50/65 ( 78%)] Loss: 0.031485 (0.0362) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.82/s LR: 3.519e-04 P_Replacement: 0.08668192612822198 + +2023-08-09 15:35:51,854 - train: [ INFO] - Train: 132 [ 64/65 (100%)] Loss: 0.027991 (0.0355) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.62/s LR: 3.519e-04 P_Replacement: 0.08710446959443012 + +2023-08-09 15:35:52,876 - train: [ INFO] - Test: [ 0/7] Time: 0.910 (0.910) Loss: 0.6545 (0.6545) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:35:54,491 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.316) Loss: 0.4999 (0.7418) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (80.5747)Acc@5: 96.6667 (93.7931) + +2023-08-09 15:35:56,271 - train: [ INFO] - Train: 133 [ 0/65 ( 0%)] Loss: 0.039644 (0.0396) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.486s, 80.78/s LR: 3.490e-04 P_Replacement: 0.08713470370370371 + +2023-08-09 15:36:31,619 - train: [ INFO] - Train: 133 [ 50/65 ( 78%)] Loss: 0.031622 (0.0335) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.16/s LR: 3.490e-04 P_Replacement: 0.08865534515079486 + +2023-08-09 15:36:41,548 - train: [ INFO] - Train: 133 [ 64/65 (100%)] Loss: 0.038336 (0.0334) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.81/s LR: 3.490e-04 P_Replacement: 0.08908427246973147 + +2023-08-09 15:36:42,578 - train: [ INFO] - Test: [ 0/7] Time: 0.892 (0.892) Loss: 0.7259 (0.7259) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:36:44,196 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.314) Loss: 0.7830 (0.7627) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.8391)Acc@5: 90.0000 (93.6782) + +2023-08-09 15:36:45,904 - train: [ INFO] - Train: 134 [ 0/65 ( 0%)] Loss: 0.028534 (0.0285) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.436s, 83.57/s LR: 3.460e-04 P_Replacement: 0.08911496296296295 + +2023-08-09 15:37:21,494 - train: [ INFO] - Train: 134 [ 50/65 ( 78%)] Loss: 0.066289 (0.0420) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.30/s LR: 3.460e-04 P_Replacement: 0.0906584906690942 + +2023-08-09 15:37:31,430 - train: [ INFO] - Train: 134 [ 64/65 (100%)] Loss: 0.033329 (0.0411) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.10/s LR: 3.460e-04 P_Replacement: 0.09109384970400713 + +2023-08-09 15:37:32,491 - train: [ INFO] - Test: [ 0/7] Time: 0.884 (0.884) Loss: 0.9487 (0.9487) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:37:34,123 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.315) Loss: 0.5241 (0.7271) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.0345)Acc@5: 96.6667 (94.5977) + +2023-08-09 15:37:35,880 - train: [ INFO] - Train: 135 [ 0/65 ( 0%)] Loss: 0.037561 (0.0376) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.506s, 79.69/s LR: 3.430e-04 P_Replacement: 0.09112500000000001 + +2023-08-09 15:38:11,330 - train: [ INFO] - Train: 135 [ 50/65 ( 78%)] Loss: 0.058856 (0.0499) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.62/s LR: 3.430e-04 P_Replacement: 0.09269158490534231 + +2023-08-09 15:38:21,340 - train: [ INFO] - Train: 135 [ 64/65 (100%)] Loss: 0.059187 (0.0537) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.09/s LR: 3.430e-04 P_Replacement: 0.09313342351947942 + +2023-08-09 15:38:22,378 - train: [ INFO] - Test: [ 0/7] Time: 0.898 (0.898) Loss: 0.9843 (0.9843) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:38:24,018 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.317) Loss: 0.6023 (0.7783) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (80.4598)Acc@5: 100.0000 (92.5287) + +2023-08-09 15:38:25,789 - train: [ INFO] - Train: 136 [ 0/65 ( 0%)] Loss: 0.077304 (0.0773) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.484s, 80.86/s LR: 3.400e-04 P_Replacement: 0.09316503703703702 + +2023-08-09 15:39:01,419 - train: [ INFO] - Train: 136 [ 50/65 ( 78%)] Loss: 0.079269 (0.0597) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.91/s LR: 3.400e-04 P_Replacement: 0.09475485008176134 + +2023-08-09 15:39:11,318 - train: [ INFO] - Train: 136 [ 64/65 (100%)] Loss: 0.046233 (0.0581) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.93/s LR: 3.400e-04 P_Replacement: 0.09520321613837049 + +2023-08-09 15:39:12,365 - train: [ INFO] - Test: [ 0/7] Time: 0.874 (0.874) Loss: 0.6011 (0.6011) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:39:14,049 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.320) Loss: 0.9017 (0.7525) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (80.1149)Acc@5: 90.0000 (93.4483) + +2023-08-09 15:39:15,791 - train: [ INFO] - Train: 137 [ 0/65 ( 0%)] Loss: 0.051182 (0.0512) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.452s, 82.64/s LR: 3.371e-04 P_Replacement: 0.09523529629629629 + +2023-08-09 15:39:51,322 - train: [ INFO] - Train: 137 [ 50/65 ( 78%)] Loss: 0.043696 (0.0452) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.52/s LR: 3.371e-04 P_Replacement: 0.0968485084205735 + +2023-08-09 15:40:01,277 - train: [ INFO] - Train: 137 [ 64/65 (100%)] Loss: 0.044832 (0.0449) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.21/s LR: 3.371e-04 P_Replacement: 0.0973034497829026 + +2023-08-09 15:40:02,287 - train: [ INFO] - Test: [ 0/7] Time: 0.894 (0.894) Loss: 0.7165 (0.7165) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 95.8333 (95.8333) + +2023-08-09 15:40:04,000 - train: [ INFO] - Test: [ 7/7] Time: 0.072 (0.326) Loss: 1.0444 (0.7818) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.1149)Acc@5: 90.0000 (92.7586) + +2023-08-09 15:40:05,749 - train: [ INFO] - Train: 138 [ 0/65 ( 0%)] Loss: 0.038195 (0.0382) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.476s, 81.32/s LR: 3.341e-04 P_Replacement: 0.097336 + +2023-08-09 15:40:41,236 - train: [ INFO] - Train: 138 [ 50/65 ( 78%)] Loss: 0.033922 (0.0373) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.58/s LR: 3.341e-04 P_Replacement: 0.09897278214400108 + +2023-08-09 15:40:51,174 - train: [ INFO] - Train: 138 [ 64/65 (100%)] Loss: 0.037813 (0.0369) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.32/s LR: 3.341e-04 P_Replacement: 0.09943434667529798 + +2023-08-09 15:40:52,284 - train: [ INFO] - Test: [ 0/7] Time: 0.922 (0.922) Loss: 0.6210 (0.6210) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:40:53,879 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.315) Loss: 0.3764 (0.7273) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.2989)Acc@5: 100.0000 (93.9081) + +2023-08-09 15:40:54,138 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-138.pth.tar', 82.29885706408271) + +2023-08-09 15:40:55,660 - train: [ INFO] - Train: 139 [ 0/65 ( 0%)] Loss: 0.040083 (0.0401) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.505s, 79.72/s LR: 3.311e-04 P_Replacement: 0.09946737037037036 + +2023-08-09 15:41:31,143 - train: [ INFO] - Train: 139 [ 50/65 ( 78%)] Loss: 0.032299 (0.0356) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.47/s LR: 3.311e-04 P_Replacement: 0.10112789347426623 + +2023-08-09 15:41:41,045 - train: [ INFO] - Train: 139 [ 64/65 (100%)] Loss: 0.024916 (0.0351) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.36/s LR: 3.311e-04 P_Replacement: 0.10159612903777877 + +2023-08-09 15:41:42,115 - train: [ INFO] - Test: [ 0/7] Time: 0.940 (0.940) Loss: 0.5885 (0.5885) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 15:41:43,802 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.328) Loss: 0.8406 (0.7126) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (82.0690)Acc@5: 96.6667 (94.7126) + +2023-08-09 15:41:45,528 - train: [ INFO] - Train: 140 [ 0/65 ( 0%)] Loss: 0.033936 (0.0339) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.490s, 80.53/s LR: 3.281e-04 P_Replacement: 0.10162962962962964 + +2023-08-09 15:42:21,137 - train: [ INFO] - Train: 140 [ 50/65 ( 78%)] Loss: 0.031259 (0.0333) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.97/s LR: 3.281e-04 P_Replacement: 0.10331406463359126 + +2023-08-09 15:42:31,141 - train: [ INFO] - Train: 140 [ 64/65 (100%)] Loss: 0.034733 (0.0330) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.60/s LR: 3.281e-04 P_Replacement: 0.10378901909256731 + +2023-08-09 15:42:32,203 - train: [ INFO] - Test: [ 0/7] Time: 0.892 (0.892) Loss: 0.6079 (0.6079) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:42:33,812 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.313) Loss: 0.4110 (0.7223) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (82.8736)Acc@5: 93.3333 (93.2184) + +2023-08-09 15:42:34,137 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-140.pth.tar', 82.8735685677364) + +2023-08-09 15:42:35,687 - train: [ INFO] - Train: 141 [ 0/65 ( 0%)] Loss: 0.031777 (0.0318) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.528s, 78.54/s LR: 3.251e-04 P_Replacement: 0.10382299999999998 + +2023-08-09 15:43:11,208 - train: [ INFO] - Train: 141 [ 50/65 ( 78%)] Loss: 0.037876 (0.0340) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.20/s LR: 3.251e-04 P_Replacement: 0.10553151784419833 + +2023-08-09 15:43:21,151 - train: [ INFO] - Train: 141 [ 64/65 (100%)] Loss: 0.031256 (0.0341) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.00/s LR: 3.251e-04 P_Replacement: 0.10601323906188576 + +2023-08-09 15:43:22,170 - train: [ INFO] - Test: [ 0/7] Time: 0.850 (0.850) Loss: 0.6121 (0.6121) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:43:23,803 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.310) Loss: 0.6744 (0.7279) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.7241)Acc@5: 96.6667 (93.9081) + +2023-08-09 15:43:25,566 - train: [ INFO] - Train: 142 [ 0/65 ( 0%)] Loss: 0.031286 (0.0313) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.490s, 80.54/s LR: 3.221e-04 P_Replacement: 0.1060477037037037 + +2023-08-09 15:44:01,043 - train: [ INFO] - Train: 142 [ 50/65 ( 78%)] Loss: 0.044181 (0.0341) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.57/s LR: 3.221e-04 P_Replacement: 0.10778047532830964 + +2023-08-09 15:44:10,959 - train: [ INFO] - Train: 142 [ 64/65 (100%)] Loss: 0.040453 (0.0347) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.39/s LR: 3.221e-04 P_Replacement: 0.1082690111679563 + +2023-08-09 15:44:11,927 - train: [ INFO] - Test: [ 0/7] Time: 0.879 (0.879) Loss: 0.7871 (0.7871) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:44:13,678 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.329) Loss: 0.5205 (0.7256) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (80.6897)Acc@5: 96.6667 (93.9081) + +2023-08-09 15:44:15,393 - train: [ INFO] - Train: 143 [ 0/65 ( 0%)] Loss: 0.032507 (0.0325) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.463s, 82.01/s LR: 3.191e-04 P_Replacement: 0.10830396296296298 + +2023-08-09 15:44:51,003 - train: [ INFO] - Train: 143 [ 50/65 ( 78%)] Loss: 0.029234 (0.0322) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.11/s LR: 3.191e-04 P_Replacement: 0.11006115930814749 + +2023-08-09 15:45:00,949 - train: [ INFO] - Train: 143 [ 64/65 (100%)] Loss: 0.028323 (0.0323) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.92/s LR: 3.191e-04 P_Replacement: 0.11055655763300123 + +2023-08-09 15:45:01,955 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 0.8944 (0.8944) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:45:03,718 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.332) Loss: 0.5191 (0.6898) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.4943)Acc@5: 100.0000 (94.9425) + +2023-08-09 15:45:05,469 - train: [ INFO] - Train: 144 [ 0/65 ( 0%)] Loss: 0.038261 (0.0383) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.494s, 80.30/s LR: 3.161e-04 P_Replacement: 0.11059199999999998 + +2023-08-09 15:45:40,968 - train: [ INFO] - Train: 144 [ 50/65 ( 78%)] Loss: 0.033498 (0.0325) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.45/s LR: 3.161e-04 P_Replacement: 0.112373792005934 + +2023-08-09 15:45:50,880 - train: [ INFO] - Train: 144 [ 64/65 (100%)] Loss: 0.041002 (0.0323) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.30/s LR: 3.161e-04 P_Replacement: 0.11287610067924272 + +2023-08-09 15:45:51,904 - train: [ INFO] - Test: [ 0/7] Time: 0.891 (0.891) Loss: 0.6769 (0.6769) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:45:53,563 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.319) Loss: 0.6346 (0.7042) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.7586)Acc@5: 93.3333 (94.0230) + +2023-08-09 15:45:55,337 - train: [ INFO] - Train: 145 [ 0/65 ( 0%)] Loss: 0.027469 (0.0275) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.78/s LR: 3.130e-04 P_Replacement: 0.11291203703703703 + +2023-08-09 15:46:30,689 - train: [ INFO] - Train: 145 [ 50/65 ( 78%)] Loss: 0.026986 (0.0308) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.06/s LR: 3.130e-04 P_Replacement: 0.1147185956438915 + +2023-08-09 15:46:40,582 - train: [ INFO] - Train: 145 [ 64/65 (100%)] Loss: 0.036038 (0.0314) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.719s, 166.86/s LR: 3.130e-04 P_Replacement: 0.11522786252890305 + +2023-08-09 15:46:41,589 - train: [ INFO] - Test: [ 0/7] Time: 0.911 (0.911) Loss: 0.6322 (0.6322) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 15:46:43,203 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.316) Loss: 0.6400 (0.7144) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.6092)Acc@5: 96.6667 (94.3678) + +2023-08-09 15:46:44,922 - train: [ INFO] - Train: 146 [ 0/65 ( 0%)] Loss: 0.026426 (0.0264) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.441s, 83.29/s LR: 3.100e-04 P_Replacement: 0.11526429629629631 + +2023-08-09 15:47:20,385 - train: [ INFO] - Train: 146 [ 50/65 ( 78%)] Loss: 0.032276 (0.0319) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.84/s LR: 3.100e-04 P_Replacement: 0.11709579244424216 + +2023-08-09 15:47:30,421 - train: [ INFO] - Train: 146 [ 64/65 (100%)] Loss: 0.034469 (0.0321) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.18/s LR: 3.100e-04 P_Replacement: 0.11761206540420441 + +2023-08-09 15:47:31,435 - train: [ INFO] - Test: [ 0/7] Time: 0.875 (0.875) Loss: 0.5174 (0.5174) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 15:47:33,166 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.326) Loss: 1.1167 (0.7018) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (81.9540)Acc@5: 83.3333 (94.0230) + +2023-08-09 15:47:34,934 - train: [ INFO] - Train: 147 [ 0/65 ( 0%)] Loss: 0.037183 (0.0372) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.478s, 81.17/s LR: 3.070e-04 P_Replacement: 0.11764899999999999 + +2023-08-09 15:48:10,565 - train: [ INFO] - Train: 147 [ 50/65 ( 78%)] Loss: 0.027446 (0.0304) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.93/s LR: 3.070e-04 P_Replacement: 0.11950560462920817 + +2023-08-09 15:48:20,480 - train: [ INFO] - Train: 147 [ 64/65 (100%)] Loss: 0.026618 (0.0306) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.89/s LR: 3.070e-04 P_Replacement: 0.12002893152736896 + +2023-08-09 15:48:21,561 - train: [ INFO] - Test: [ 0/7] Time: 0.938 (0.938) Loss: 0.8294 (0.8294) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:48:23,244 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.328) Loss: 0.6955 (0.7153) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.4138)Acc@5: 93.3333 (94.0230) + +2023-08-09 15:48:25,040 - train: [ INFO] - Train: 148 [ 0/65 ( 0%)] Loss: 0.032107 (0.0321) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.519s, 78.99/s LR: 3.040e-04 P_Replacement: 0.12006637037037038 + +2023-08-09 15:49:00,551 - train: [ INFO] - Train: 148 [ 50/65 ( 78%)] Loss: 0.031085 (0.0318) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.28/s LR: 3.040e-04 P_Replacement: 0.12194825442101181 + +2023-08-09 15:49:10,525 - train: [ INFO] - Train: 148 [ 64/65 (100%)] Loss: 0.026579 (0.0313) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.95/s LR: 3.040e-04 P_Replacement: 0.12247868312061903 + +2023-08-09 15:49:11,602 - train: [ INFO] - Test: [ 0/7] Time: 0.897 (0.897) Loss: 0.5308 (0.5308) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 15:49:13,335 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.329) Loss: 0.9478 (0.6955) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.8736)Acc@5: 90.0000 (94.7126) + +2023-08-09 15:49:15,118 - train: [ INFO] - Train: 149 [ 0/65 ( 0%)] Loss: 0.032205 (0.0322) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.526s, 78.64/s LR: 3.010e-04 P_Replacement: 0.12251662962962961 + +2023-08-09 15:49:50,756 - train: [ INFO] - Train: 149 [ 50/65 ( 78%)] Loss: 0.027297 (0.0336) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.69/s LR: 3.010e-04 P_Replacement: 0.1244239640418753 + +2023-08-09 15:50:00,802 - train: [ INFO] - Train: 149 [ 64/65 (100%)] Loss: 0.034259 (0.0335) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.23/s LR: 3.010e-04 P_Replacement: 0.12496154240617675 + +2023-08-09 15:50:01,846 - train: [ INFO] - Test: [ 0/7] Time: 0.866 (0.866) Loss: 0.6427 (0.6427) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:50:03,415 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.304) Loss: 0.6408 (0.7294) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.2644)Acc@5: 93.3333 (93.2184) + +2023-08-09 15:50:05,163 - train: [ INFO] - Train: 150 [ 0/65 ( 0%)] Loss: 0.034610 (0.0346) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.475s, 81.38/s LR: 2.980e-04 P_Replacement: 0.125 + +2023-08-09 15:50:40,814 - train: [ INFO] - Train: 150 [ 50/65 ( 78%)] Loss: 0.029697 (0.0333) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.86/s LR: 2.980e-04 P_Replacement: 0.1269329557140208 + +2023-08-09 15:50:50,799 - train: [ INFO] - Train: 150 [ 64/65 (100%)] Loss: 0.041361 (0.0329) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.58/s LR: 2.980e-04 P_Replacement: 0.12747773160626444 + +2023-08-09 15:50:51,896 - train: [ INFO] - Test: [ 0/7] Time: 0.915 (0.915) Loss: 0.7716 (0.7716) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 15:50:53,600 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.327) Loss: 0.5952 (0.7416) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.0345)Acc@5: 100.0000 (94.3678) + +2023-08-09 15:50:55,317 - train: [ INFO] - Train: 151 [ 0/65 ( 0%)] Loss: 0.034754 (0.0348) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.449s, 82.79/s LR: 2.950e-04 P_Replacement: 0.1275167037037037 + +2023-08-09 15:51:30,789 - train: [ INFO] - Train: 151 [ 50/65 ( 78%)] Loss: 0.048292 (0.0418) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 2.950e-04 P_Replacement: 0.12947545165967056 + +2023-08-09 15:51:40,844 - train: [ INFO] - Train: 151 [ 64/65 (100%)] Loss: 0.048910 (0.0446) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 2.950e-04 P_Replacement: 0.1300274729431042 + +2023-08-09 15:51:41,888 - train: [ INFO] - Test: [ 0/7] Time: 0.905 (0.905) Loss: 0.8135 (0.8135) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 15:51:43,535 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.319) Loss: 0.4683 (0.7496) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (80.6897)Acc@5: 93.3333 (94.0230) + +2023-08-09 15:51:45,355 - train: [ INFO] - Train: 152 [ 0/65 ( 0%)] Loss: 0.044490 (0.0445) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.558s, 77.02/s LR: 2.919e-04 P_Replacement: 0.130066962962963 + +2023-08-09 15:52:20,951 - train: [ INFO] - Train: 152 [ 50/65 ( 78%)] Loss: 0.035865 (0.0510) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.73/s LR: 2.919e-04 P_Replacement: 0.1320516741010469 + +2023-08-09 15:52:30,856 - train: [ INFO] - Train: 152 [ 64/65 (100%)] Loss: 0.043126 (0.0492) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.76/s LR: 2.919e-04 P_Replacement: 0.13261098863891843 + +2023-08-09 15:52:31,926 - train: [ INFO] - Test: [ 0/7] Time: 0.890 (0.890) Loss: 0.6586 (0.6586) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:52:33,536 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.312) Loss: 1.1260 (0.7288) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (81.6092)Acc@5: 93.3333 (94.4828) + +2023-08-09 15:52:35,275 - train: [ INFO] - Train: 153 [ 0/65 ( 0%)] Loss: 0.042055 (0.0421) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.23/s LR: 2.889e-04 P_Replacement: 0.13265100000000002 + +2023-08-09 15:53:10,775 - train: [ INFO] - Train: 153 [ 50/65 ( 78%)] Loss: 0.039115 (0.0383) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.44/s LR: 2.889e-04 P_Replacement: 0.1346618452603719 + +2023-08-09 15:53:20,731 - train: [ INFO] - Train: 153 [ 64/65 (100%)] Loss: 0.044816 (0.0386) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.14/s LR: 2.889e-04 P_Replacement: 0.13522850091592914 + +2023-08-09 15:53:21,802 - train: [ INFO] - Test: [ 0/7] Time: 0.920 (0.920) Loss: 0.7352 (0.7352) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:53:23,430 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.319) Loss: 0.6653 (0.7113) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.8391)Acc@5: 90.0000 (94.2529) + +2023-08-09 15:53:25,236 - train: [ INFO] - Train: 154 [ 0/65 ( 0%)] Loss: 0.034548 (0.0345) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.472s, 81.54/s LR: 2.859e-04 P_Replacement: 0.13526903703703702 + +2023-08-09 15:54:00,791 - train: [ INFO] - Train: 154 [ 50/65 ( 78%)] Loss: 0.031618 (0.0389) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.30/s LR: 2.859e-04 P_Replacement: 0.1373061873598678 + +2023-08-09 15:54:10,946 - train: [ INFO] - Train: 154 [ 64/65 (100%)] Loss: 0.046278 (0.0390) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.33/s LR: 2.859e-04 P_Replacement: 0.13788023199635865 + +2023-08-09 15:54:12,013 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 0.6311 (0.6311) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 15:54:13,749 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.331) Loss: 1.1283 (0.7021) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.1839)Acc@5: 86.6667 (94.1379) + +2023-08-09 15:54:15,532 - train: [ INFO] - Train: 155 [ 0/65 ( 0%)] Loss: 0.033437 (0.0334) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.512s, 79.37/s LR: 2.829e-04 P_Replacement: 0.13792129629629635 + +2023-08-09 15:54:50,987 - train: [ INFO] - Train: 155 [ 50/65 ( 78%)] Loss: 0.034373 (0.0367) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.57/s LR: 2.829e-04 P_Replacement: 0.13998492262175696 + +2023-08-09 15:55:00,890 - train: [ INFO] - Train: 155 [ 64/65 (100%)] Loss: 0.030732 (0.0363) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.721s, 166.43/s LR: 2.829e-04 P_Replacement: 0.14056640410242927 + +2023-08-09 15:55:01,925 - train: [ INFO] - Test: [ 0/7] Time: 0.905 (0.905) Loss: 0.6769 (0.6769) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:55:03,497 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.310) Loss: 0.5877 (0.6709) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (83.1035)Acc@5: 100.0000 (95.1724) + +2023-08-09 15:55:03,766 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-155.pth.tar', 83.10345301134834) + +2023-08-09 15:55:05,308 - train: [ INFO] - Train: 156 [ 0/65 ( 0%)] Loss: 0.037486 (0.0375) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.522s, 78.82/s LR: 2.799e-04 P_Replacement: 0.140608 + +2023-08-09 15:55:40,978 - train: [ INFO] - Train: 156 [ 50/65 ( 78%)] Loss: 0.030328 (0.0361) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.59/s LR: 2.799e-04 P_Replacement: 0.14269827326826143 + +2023-08-09 15:55:50,954 - train: [ INFO] - Train: 156 [ 64/65 (100%)] Loss: 0.039353 (0.0359) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.39/s LR: 2.799e-04 P_Replacement: 0.14328723945636307 + +2023-08-09 15:55:52,031 - train: [ INFO] - Test: [ 0/7] Time: 0.932 (0.932) Loss: 0.8575 (0.8575) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:55:53,803 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.338) Loss: 0.1347 (0.7394) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (81.8391)Acc@5: 100.0000 (93.7931) + +2023-08-09 15:55:55,509 - train: [ INFO] - Train: 157 [ 0/65 ( 0%)] Loss: 0.026701 (0.0267) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.453s, 82.57/s LR: 2.769e-04 P_Replacement: 0.14332937037037036 + +2023-08-09 15:56:31,201 - train: [ INFO] - Train: 157 [ 50/65 ( 78%)] Loss: 0.037326 (0.0352) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.77/s LR: 2.769e-04 P_Replacement: 0.1454464615216035 + +2023-08-09 15:56:41,249 - train: [ INFO] - Train: 157 [ 64/65 (100%)] Loss: 0.029528 (0.0351) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.29/s LR: 2.769e-04 P_Replacement: 0.14604296028038233 + +2023-08-09 15:56:42,301 - train: [ INFO] - Test: [ 0/7] Time: 0.915 (0.915) Loss: 0.7080 (0.7080) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:56:44,017 - train: [ INFO] - Test: [ 7/7] Time: 0.071 (0.329) Loss: 1.2352 (0.6477) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (84.0230)Acc@5: 90.0000 (94.8276) + +2023-08-09 15:56:44,289 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-157.pth.tar', 84.02299210120891) + +2023-08-09 15:56:45,773 - train: [ INFO] - Train: 158 [ 0/65 ( 0%)] Loss: 0.036224 (0.0362) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.468s, 81.73/s LR: 2.739e-04 P_Replacement: 0.1460856296296296 + +2023-08-09 15:57:21,409 - train: [ INFO] - Train: 158 [ 50/65 ( 78%)] Loss: 0.035880 (0.0373) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.95/s LR: 2.739e-04 P_Replacement: 0.1482297096040055 + +2023-08-09 15:57:31,364 - train: [ INFO] - Train: 158 [ 64/65 (100%)] Loss: 0.043625 (0.0371) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.76/s LR: 2.739e-04 P_Replacement: 0.14883378879670928 + +2023-08-09 15:57:32,361 - train: [ INFO] - Test: [ 0/7] Time: 0.871 (0.871) Loss: 0.8851 (0.8851) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:57:34,008 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.315) Loss: 0.4676 (0.6945) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.6092)Acc@5: 100.0000 (93.5632) + +2023-08-09 15:57:35,698 - train: [ INFO] - Train: 159 [ 0/65 ( 0%)] Loss: 0.038196 (0.0382) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.443s, 83.15/s LR: 2.709e-04 P_Replacement: 0.148877 + +2023-08-09 15:58:11,292 - train: [ INFO] - Train: 159 [ 50/65 ( 78%)] Loss: 0.053457 (0.0416) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.25/s LR: 2.709e-04 P_Replacement: 0.15104823973768947 + +2023-08-09 15:58:21,324 - train: [ INFO] - Train: 159 [ 64/65 (100%)] Loss: 0.055240 (0.0430) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.73/s LR: 2.709e-04 P_Replacement: 0.15165994722756623 + +2023-08-09 15:58:22,376 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 0.6930 (0.6930) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:58:24,096 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.331) Loss: 1.3038 (0.7562) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (82.0690)Acc@5: 90.0000 (93.7931) + +2023-08-09 15:58:25,857 - train: [ INFO] - Train: 160 [ 0/65 ( 0%)] Loss: 0.051239 (0.0512) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.487s, 80.70/s LR: 2.679e-04 P_Replacement: 0.1517037037037037 + +2023-08-09 15:59:01,512 - train: [ INFO] - Train: 160 [ 50/65 ( 78%)] Loss: 0.057649 (0.0395) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.78/s LR: 2.679e-04 P_Replacement: 0.15390227414487767 + +2023-08-09 15:59:11,557 - train: [ INFO] - Train: 160 [ 64/65 (100%)] Loss: 0.041987 (0.0394) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.31/s LR: 2.679e-04 P_Replacement: 0.15452165779517524 + +2023-08-09 15:59:12,547 - train: [ INFO] - Test: [ 0/7] Time: 0.890 (0.890) Loss: 0.9002 (0.9002) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:59:14,173 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.315) Loss: 0.9390 (0.7214) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.8391)Acc@5: 90.0000 (94.5977) + +2023-08-09 15:59:15,907 - train: [ INFO] - Train: 161 [ 0/65 ( 0%)] Loss: 0.041094 (0.0411) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.455s, 82.46/s LR: 2.649e-04 P_Replacement: 0.15456596296296293 + +2023-08-09 15:59:51,479 - train: [ INFO] - Train: 161 [ 50/65 ( 78%)] Loss: 0.047037 (0.0397) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.29/s LR: 2.649e-04 P_Replacement: 0.1567920350477924 + +2023-08-09 16:00:01,446 - train: [ INFO] - Train: 161 [ 64/65 (100%)] Loss: 0.036676 (0.0398) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.99/s LR: 2.649e-04 P_Replacement: 0.15741914272175858 + +2023-08-09 16:00:02,479 - train: [ INFO] - Test: [ 0/7] Time: 0.910 (0.910) Loss: 0.7385 (0.7385) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:00:04,184 - train: [ INFO] - Test: [ 7/7] Time: 0.076 (0.327) Loss: 0.4211 (0.6866) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.6437)Acc@5: 93.3333 (94.5977) + +2023-08-09 16:00:05,933 - train: [ INFO] - Train: 162 [ 0/65 ( 0%)] Loss: 0.034461 (0.0345) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.449s, 82.81/s LR: 2.619e-04 P_Replacement: 0.15746400000000002 + +2023-08-09 16:00:41,549 - train: [ INFO] - Train: 162 [ 50/65 ( 78%)] Loss: 0.041561 (0.0395) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.13/s LR: 2.619e-04 P_Replacement: 0.15971774466865593 + +2023-08-09 16:00:51,575 - train: [ INFO] - Train: 162 [ 64/65 (100%)] Loss: 0.038797 (0.0396) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.65/s LR: 2.619e-04 P_Replacement: 0.16035262422953864 + +2023-08-09 16:00:52,578 - train: [ INFO] - Test: [ 0/7] Time: 0.880 (0.880) Loss: 0.9543 (0.9543) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 90.8333 (90.8333) + +2023-08-09 16:00:54,197 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.312) Loss: 0.9599 (0.8276) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (79.8851)Acc@5: 93.3333 (92.7586) + +2023-08-09 16:00:55,956 - train: [ INFO] - Train: 163 [ 0/65 ( 0%)] Loss: 0.041779 (0.0418) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.483s, 80.92/s LR: 2.589e-04 P_Replacement: 0.16039803703703703 + +2023-08-09 16:01:31,552 - train: [ INFO] - Train: 163 [ 50/65 ( 78%)] Loss: 0.039977 (0.0387) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.06/s LR: 2.589e-04 P_Replacement: 0.16267962522969032 + +2023-08-09 16:01:41,500 - train: [ INFO] - Train: 163 [ 64/65 (100%)] Loss: 0.038859 (0.0383) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.88/s LR: 2.589e-04 P_Replacement: 0.16332232454073736 + +2023-08-09 16:01:42,597 - train: [ INFO] - Test: [ 0/7] Time: 0.905 (0.905) Loss: 0.4411 (0.4411) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:01:44,278 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.323) Loss: 0.3473 (0.6500) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (83.1035)Acc@5: 100.0000 (94.7126) + +2023-08-09 16:01:46,004 - train: [ INFO] - Train: 164 [ 0/65 ( 0%)] Loss: 0.040621 (0.0406) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.461s, 82.11/s LR: 2.559e-04 P_Replacement: 0.16336829629629626 + +2023-08-09 16:02:21,644 - train: [ INFO] - Train: 164 [ 50/65 ( 78%)] Loss: 0.037949 (0.0391) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.96/s LR: 2.559e-04 P_Replacement: 0.16567789895311785 + +2023-08-09 16:02:31,594 - train: [ INFO] - Train: 164 [ 64/65 (100%)] Loss: 0.043115 (0.0391) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.78/s LR: 2.559e-04 P_Replacement: 0.16632846587757713 + +2023-08-09 16:02:32,590 - train: [ INFO] - Test: [ 0/7] Time: 0.883 (0.883) Loss: 0.9660 (0.9660) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:02:34,157 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.306) Loss: 0.6604 (0.6759) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.4138)Acc@5: 96.6667 (95.4023) + +2023-08-09 16:02:35,939 - train: [ INFO] - Train: 165 [ 0/65 ( 0%)] Loss: 0.037172 (0.0372) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.532s, 78.35/s LR: 2.529e-04 P_Replacement: 0.16637500000000005 + +2023-08-09 16:03:11,517 - train: [ INFO] - Train: 165 [ 50/65 ( 78%)] Loss: 0.037927 (0.0377) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.93/s LR: 2.529e-04 P_Replacement: 0.16871278806116088 + +2023-08-09 16:03:21,518 - train: [ INFO] - Train: 165 [ 64/65 (100%)] Loss: 0.035213 (0.0377) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.58/s LR: 2.529e-04 P_Replacement: 0.16937127046228026 + +2023-08-09 16:03:22,576 - train: [ INFO] - Test: [ 0/7] Time: 0.890 (0.890) Loss: 0.7127 (0.7127) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:03:24,211 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.316) Loss: 0.6476 (0.6377) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.4483)Acc@5: 93.3333 (95.1724) + +2023-08-09 16:03:25,951 - train: [ INFO] - Train: 166 [ 0/65 ( 0%)] Loss: 0.031016 (0.0310) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.490s, 80.53/s LR: 2.499e-04 P_Replacement: 0.16941837037037039 + +2023-08-09 16:04:01,366 - train: [ INFO] - Train: 166 [ 50/65 ( 78%)] Loss: 0.030463 (0.0366) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.84/s LR: 2.499e-04 P_Replacement: 0.1717845147760414 + +2023-08-09 16:04:11,283 - train: [ INFO] - Train: 166 [ 64/65 (100%)] Loss: 0.031231 (0.0364) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.720s, 166.60/s LR: 2.499e-04 P_Replacement: 0.17245096051706874 + +2023-08-09 16:04:12,372 - train: [ INFO] - Test: [ 0/7] Time: 0.894 (0.894) Loss: 0.7579 (0.7579) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:04:13,992 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.314) Loss: 0.4976 (0.7135) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (81.8391)Acc@5: 93.3333 (94.5977) + +2023-08-09 16:04:15,781 - train: [ INFO] - Train: 167 [ 0/65 ( 0%)] Loss: 0.035318 (0.0353) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.515s, 79.23/s LR: 2.470e-04 P_Replacement: 0.1724986296296296 + +2023-08-09 16:04:51,206 - train: [ INFO] - Train: 167 [ 50/65 ( 78%)] Loss: 0.035245 (0.0373) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.69/s LR: 2.470e-04 P_Replacement: 0.17489330131998176 + +2023-08-09 16:05:01,257 - train: [ INFO] - Train: 167 [ 64/65 (100%)] Loss: 0.042583 (0.0377) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.00/s LR: 2.470e-04 P_Replacement: 0.1755677582641649 + +2023-08-09 16:05:02,271 - train: [ INFO] - Test: [ 0/7] Time: 0.881 (0.881) Loss: 0.6823 (0.6823) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:05:03,860 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.309) Loss: 0.5703 (0.6660) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (84.0230)Acc@5: 96.6667 (95.0575) + +2023-08-09 16:05:04,149 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-167.pth.tar', 84.02299420586948) + +2023-08-09 16:05:05,601 - train: [ INFO] - Train: 168 [ 0/65 ( 0%)] Loss: 0.045795 (0.0458) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.435s, 83.60/s LR: 2.440e-04 P_Replacement: 0.17561600000000005 + +2023-08-09 16:05:41,142 - train: [ INFO] - Train: 168 [ 50/65 ( 78%)] Loss: 0.032169 (0.0377) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.52/s LR: 2.440e-04 P_Replacement: 0.17803936991520428 + +2023-08-09 16:05:51,094 - train: [ INFO] - Train: 168 [ 64/65 (100%)] Loss: 0.037250 (0.0372) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.22/s LR: 2.440e-04 P_Replacement: 0.1787218859257911 + +2023-08-09 16:05:52,114 - train: [ INFO] - Test: [ 0/7] Time: 0.884 (0.884) Loss: 0.5220 (0.5220) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:05:53,734 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.313) Loss: 0.6644 (0.7025) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (82.1839)Acc@5: 93.3333 (94.4828) + +2023-08-09 16:05:55,474 - train: [ INFO] - Train: 169 [ 0/65 ( 0%)] Loss: 0.037156 (0.0372) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.461s, 82.14/s LR: 2.410e-04 P_Replacement: 0.1787707037037037 + +2023-08-09 16:06:31,021 - train: [ INFO] - Train: 169 [ 50/65 ( 78%)] Loss: 0.034923 (0.0363) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.38/s LR: 2.410e-04 P_Replacement: 0.18122294278393095 + +2023-08-09 16:06:40,984 - train: [ INFO] - Train: 169 [ 64/65 (100%)] Loss: 0.039927 (0.0366) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.07/s LR: 2.410e-04 P_Replacement: 0.18191356572416933 + +2023-08-09 16:06:42,052 - train: [ INFO] - Test: [ 0/7] Time: 0.879 (0.879) Loss: 0.5469 (0.5469) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:06:43,619 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.306) Loss: 0.4703 (0.6226) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (84.1379)Acc@5: 96.6667 (95.8621) + +2023-08-09 16:06:43,876 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-169.pth.tar', 84.13793576996902) + +2023-08-09 16:06:45,389 - train: [ INFO] - Train: 170 [ 0/65 ( 0%)] Loss: 0.033935 (0.0339) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.23/s LR: 2.381e-04 P_Replacement: 0.18196296296296294 + +2023-08-09 16:07:20,819 - train: [ INFO] - Train: 170 [ 50/65 ( 78%)] Loss: 0.039686 (0.0359) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 2.381e-04 P_Replacement: 0.18444424214838415 + +2023-08-09 16:07:30,846 - train: [ INFO] - Train: 170 [ 64/65 (100%)] Loss: 0.042069 (0.0357) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.16/s LR: 2.381e-04 P_Replacement: 0.18514301988152193 + +2023-08-09 16:07:31,838 - train: [ INFO] - Test: [ 0/7] Time: 0.859 (0.859) Loss: 1.0016 (1.0016) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:07:33,398 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.302) Loss: 0.2981 (0.6454) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.5632)Acc@5: 100.0000 (95.7471) + +2023-08-09 16:07:35,156 - train: [ INFO] - Train: 171 [ 0/65 ( 0%)] Loss: 0.031707 (0.0317) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.467s, 81.81/s LR: 2.352e-04 P_Replacement: 0.18519299999999994 + +2023-08-09 16:08:10,759 - train: [ INFO] - Train: 171 [ 50/65 ( 78%)] Loss: 0.035657 (0.0354) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.11/s LR: 2.352e-04 P_Replacement: 0.18770349023078614 + +2023-08-09 16:08:20,698 - train: [ INFO] - Train: 171 [ 64/65 (100%)] Loss: 0.034372 (0.0353) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 2.352e-04 P_Replacement: 0.1884104706200711 + +2023-08-09 16:08:21,736 - train: [ INFO] - Test: [ 0/7] Time: 0.878 (0.878) Loss: 0.4378 (0.4378) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 98.3333 (98.3333) + +2023-08-09 16:08:23,300 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.305) Loss: 0.2083 (0.5989) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (85.5172)Acc@5: 100.0000 (95.8621) + +2023-08-09 16:08:23,580 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-171.pth.tar', 85.5172461147966) + +2023-08-09 16:08:25,050 - train: [ INFO] - Train: 172 [ 0/65 ( 0%)] Loss: 0.031683 (0.0317) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.449s, 82.83/s LR: 2.322e-04 P_Replacement: 0.18846103703703707 + +2023-08-09 16:09:00,618 - train: [ INFO] - Train: 172 [ 50/65 ( 78%)] Loss: 0.045198 (0.0344) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.34/s LR: 2.322e-04 P_Replacement: 0.19100090925335897 + +2023-08-09 16:09:10,580 - train: [ INFO] - Train: 172 [ 64/65 (100%)] Loss: 0.031816 (0.0346) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.04/s LR: 2.322e-04 P_Replacement: 0.19171614016203917 + +2023-08-09 16:09:11,585 - train: [ INFO] - Test: [ 0/7] Time: 0.878 (0.878) Loss: 0.5278 (0.5278) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:09:13,259 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.319) Loss: 0.3132 (0.6016) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (84.0230)Acc@5: 100.0000 (95.8621) + +2023-08-09 16:09:15,007 - train: [ INFO] - Train: 173 [ 0/65 ( 0%)] Loss: 0.030290 (0.0303) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.476s, 81.30/s LR: 2.293e-04 P_Replacement: 0.1917672962962963 + +2023-08-09 16:09:50,657 - train: [ INFO] - Train: 173 [ 50/65 ( 78%)] Loss: 0.033419 (0.0341) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.86/s LR: 2.293e-04 P_Replacement: 0.19433672143832498 + +2023-08-09 16:10:00,639 - train: [ INFO] - Train: 173 [ 64/65 (100%)] Loss: 0.037330 (0.0339) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.59/s LR: 2.293e-04 P_Replacement: 0.19506025072964817 + +2023-08-09 16:10:01,678 - train: [ INFO] - Test: [ 0/7] Time: 0.909 (0.909) Loss: 0.4795 (0.4795) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:10:03,255 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.311) Loss: 0.4060 (0.5930) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (84.5977)Acc@5: 100.0000 (95.6322) + +2023-08-09 16:10:05,027 - train: [ INFO] - Train: 174 [ 0/65 ( 0%)] Loss: 0.031725 (0.0317) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.481s, 81.01/s LR: 2.264e-04 P_Replacement: 0.19511199999999995 + +2023-08-09 16:10:40,504 - train: [ INFO] - Train: 174 [ 50/65 ( 78%)] Loss: 0.043092 (0.0339) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.60/s LR: 2.264e-04 P_Replacement: 0.19771114900790634 + +2023-08-09 16:10:50,479 - train: [ INFO] - Train: 174 [ 64/65 (100%)] Loss: 0.028373 (0.0335) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.21/s LR: 2.264e-04 P_Replacement: 0.19844302454512042 + +2023-08-09 16:10:51,481 - train: [ INFO] - Test: [ 0/7] Time: 0.872 (0.872) Loss: 0.5629 (0.5629) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:10:53,123 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.314) Loss: 0.7256 (0.6144) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (84.1379)Acc@5: 96.6667 (95.7471) + +2023-08-09 16:10:54,883 - train: [ INFO] - Train: 175 [ 0/65 ( 0%)] Loss: 0.037700 (0.0377) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.493s, 80.37/s LR: 2.234e-04 P_Replacement: 0.1984953703703704 + +2023-08-09 16:11:30,490 - train: [ INFO] - Train: 175 [ 50/65 ( 78%)] Loss: 0.037504 (0.0334) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.97/s LR: 2.234e-04 P_Replacement: 0.20112441418432545 + +2023-08-09 16:11:40,446 - train: [ INFO] - Train: 175 [ 64/65 (100%)] Loss: 0.038022 (0.0332) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.77/s LR: 2.234e-04 P_Replacement: 0.20186468383067824 + +2023-08-09 16:11:41,503 - train: [ INFO] - Test: [ 0/7] Time: 0.893 (0.893) Loss: 0.4596 (0.4596) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 98.3333 (98.3333) + +2023-08-09 16:11:43,114 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.313) Loss: 0.6832 (0.5974) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (85.2874)Acc@5: 90.0000 (95.6322) + +2023-08-09 16:11:44,902 - train: [ INFO] - Train: 176 [ 0/65 ( 0%)] Loss: 0.031421 (0.0314) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.533s, 78.28/s LR: 2.205e-04 P_Replacement: 0.20191762962962964 + +2023-08-09 16:12:20,534 - train: [ INFO] - Train: 176 [ 50/65 ( 78%)] Loss: 0.027930 (0.0323) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.68/s LR: 2.205e-04 P_Replacement: 0.20457673918980426 + +2023-08-09 16:12:30,538 - train: [ INFO] - Train: 176 [ 64/65 (100%)] Loss: 0.034498 (0.0320) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.37/s LR: 2.205e-04 P_Replacement: 0.20532545080854364 + +2023-08-09 16:12:31,672 - train: [ INFO] - Test: [ 0/7] Time: 0.937 (0.937) Loss: 0.6206 (0.6206) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:12:33,491 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.344) Loss: 0.7474 (0.6133) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (84.3678)Acc@5: 96.6667 (95.4023) + +2023-08-09 16:12:35,348 - train: [ INFO] - Train: 177 [ 0/65 ( 0%)] Loss: 0.028882 (0.0289) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.543s, 77.75/s LR: 2.176e-04 P_Replacement: 0.20537899999999998 + +2023-08-09 16:13:11,082 - train: [ INFO] - Train: 177 [ 50/65 ( 78%)] Loss: 0.031231 (0.0319) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.19/s LR: 2.176e-04 P_Replacement: 0.20806834624656514 + +2023-08-09 16:13:21,039 - train: [ INFO] - Train: 177 [ 64/65 (100%)] Loss: 0.030940 (0.0318) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.15/s LR: 2.176e-04 P_Replacement: 0.20882554770093895 + +2023-08-09 16:13:22,098 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 0.8349 (0.8349) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:13:23,744 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.319) Loss: 1.0113 (0.6225) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (84.7126)Acc@5: 86.6667 (95.4023) + +2023-08-09 16:13:25,573 - train: [ INFO] - Train: 178 [ 0/65 ( 0%)] Loss: 0.026098 (0.0261) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.552s, 77.32/s LR: 2.147e-04 P_Replacement: 0.20887970370370376 + +2023-08-09 16:14:01,285 - train: [ INFO] - Train: 178 [ 50/65 ( 78%)] Loss: 0.036169 (0.0331) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.24/s LR: 2.147e-04 P_Replacement: 0.2115994575768304 + +2023-08-09 16:14:11,257 - train: [ INFO] - Train: 178 [ 64/65 (100%)] Loss: 0.028245 (0.0331) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.14/s LR: 2.147e-04 P_Replacement: 0.21236519673008653 + +2023-08-09 16:14:12,318 - train: [ INFO] - Test: [ 0/7] Time: 0.886 (0.886) Loss: 0.8337 (0.8337) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:14:13,913 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.310) Loss: 0.6633 (0.6137) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (84.5977)Acc@5: 96.6667 (95.2874) + +2023-08-09 16:14:15,670 - train: [ INFO] - Train: 179 [ 0/65 ( 0%)] Loss: 0.035104 (0.0351) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.469s, 81.68/s LR: 2.119e-04 P_Replacement: 0.21241996296296298 + +2023-08-09 16:14:51,305 - train: [ INFO] - Train: 179 [ 50/65 ( 78%)] Loss: 0.031529 (0.0318) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.95/s LR: 2.119e-04 P_Replacement: 0.21517029540282204 + +2023-08-09 16:15:01,290 - train: [ INFO] - Train: 179 [ 64/65 (100%)] Loss: 0.032817 (0.0317) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.65/s LR: 2.119e-04 P_Replacement: 0.21594462011820834 + +2023-08-09 16:15:02,341 - train: [ INFO] - Test: [ 0/7] Time: 0.869 (0.869) Loss: 0.6305 (0.6305) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:15:04,010 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.317) Loss: 0.6675 (0.5919) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (83.9081)Acc@5: 93.3333 (96.2069) + +2023-08-09 16:15:05,760 - train: [ INFO] - Train: 180 [ 0/65 ( 0%)] Loss: 0.032298 (0.0323) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.21/s LR: 2.090e-04 P_Replacement: 0.21599999999999997 + +2023-08-09 16:15:41,392 - train: [ INFO] - Train: 180 [ 50/65 ( 78%)] Loss: 0.034165 (0.0321) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.85/s LR: 2.090e-04 P_Replacement: 0.21878108194676238 + +2023-08-09 16:15:51,343 - train: [ INFO] - Train: 180 [ 64/65 (100%)] Loss: 0.033960 (0.0321) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.69/s LR: 2.090e-04 P_Replacement: 0.21956404008752672 + +2023-08-09 16:15:52,383 - train: [ INFO] - Test: [ 0/7] Time: 0.882 (0.882) Loss: 0.4197 (0.4197) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 99.1667 (99.1667) + +2023-08-09 16:15:54,003 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.313) Loss: 0.4863 (0.6095) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (85.4023)Acc@5: 96.6667 (95.5172) + +2023-08-09 16:15:55,855 - train: [ INFO] - Train: 181 [ 0/65 ( 0%)] Loss: 0.030474 (0.0305) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.545s, 77.67/s LR: 2.061e-04 P_Replacement: 0.21962003703703709 + +2023-08-09 16:16:31,401 - train: [ INFO] - Train: 181 [ 50/65 ( 78%)] Loss: 0.035816 (0.0315) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.01/s LR: 2.061e-04 P_Replacement: 0.2224320394308738 + +2023-08-09 16:16:41,314 - train: [ INFO] - Train: 181 [ 64/65 (100%)] Loss: 0.026350 (0.0312) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.96/s LR: 2.061e-04 P_Replacement: 0.22322367886026406 + +2023-08-09 16:16:42,292 - train: [ INFO] - Test: [ 0/7] Time: 0.873 (0.873) Loss: 0.7453 (0.7453) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 91.6667 (91.6667) + +2023-08-09 16:16:44,016 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.325) Loss: 0.1663 (0.5662) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (84.8276)Acc@5: 100.0000 (95.9770) + +2023-08-09 16:16:45,753 - train: [ INFO] - Train: 182 [ 0/65 ( 0%)] Loss: 0.029159 (0.0292) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.478s, 81.20/s LR: 2.033e-04 P_Replacement: 0.2232802962962963 + +2023-08-09 16:17:21,379 - train: [ INFO] - Train: 182 [ 50/65 ( 78%)] Loss: 0.032745 (0.0306) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.96/s LR: 2.033e-04 P_Replacement: 0.22612339007737825 + +2023-08-09 16:17:31,283 - train: [ INFO] - Train: 182 [ 64/65 (100%)] Loss: 0.026369 (0.0305) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.94/s LR: 2.033e-04 P_Replacement: 0.22692375865864228 + +2023-08-09 16:17:32,319 - train: [ INFO] - Test: [ 0/7] Time: 0.881 (0.881) Loss: 0.5131 (0.5131) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:17:33,952 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.314) Loss: 0.9030 (0.5845) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (84.9425)Acc@5: 93.3333 (95.2874) + +2023-08-09 16:17:35,687 - train: [ INFO] - Train: 183 [ 0/65 ( 0%)] Loss: 0.033634 (0.0336) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.479s, 81.15/s LR: 2.004e-04 P_Replacement: 0.226981 + +2023-08-09 16:18:11,223 - train: [ INFO] - Train: 183 [ 50/65 ( 78%)] Loss: 0.028614 (0.0308) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.35/s LR: 2.004e-04 P_Replacement: 0.22985535610849808 + +2023-08-09 16:18:21,192 - train: [ INFO] - Train: 183 [ 64/65 (100%)] Loss: 0.029320 (0.0306) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.03/s LR: 2.004e-04 P_Replacement: 0.23066450170488376 + +2023-08-09 16:18:22,254 - train: [ INFO] - Test: [ 0/7] Time: 0.881 (0.881) Loss: 0.5530 (0.5530) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:18:23,930 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.320) Loss: 0.3294 (0.5828) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (86.4368)Acc@5: 96.6667 (95.5172) + +2023-08-09 16:18:24,231 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-183.pth.tar', 86.43678730931775) + +2023-08-09 16:18:25,759 - train: [ INFO] - Train: 184 [ 0/65 ( 0%)] Loss: 0.037372 (0.0374) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.79/s LR: 1.976e-04 P_Replacement: 0.23072237037037033 + +2023-08-09 16:19:01,431 - train: [ INFO] - Train: 184 [ 50/65 ( 78%)] Loss: 0.029282 (0.0304) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.63/s LR: 1.976e-04 P_Replacement: 0.23362815974645568 + +2023-08-09 16:19:11,348 - train: [ INFO] - Train: 184 [ 64/65 (100%)] Loss: 0.029670 (0.0304) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.64/s LR: 1.976e-04 P_Replacement: 0.2344461302212107 + +2023-08-09 16:19:12,413 - train: [ INFO] - Test: [ 0/7] Time: 0.884 (0.884) Loss: 0.5328 (0.5328) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:19:14,084 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.319) Loss: 0.4623 (0.5485) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (85.9770)Acc@5: 100.0000 (96.3218) + +2023-08-09 16:19:15,807 - train: [ INFO] - Train: 185 [ 0/65 ( 0%)] Loss: 0.030464 (0.0305) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.505s, 79.73/s LR: 1.948e-04 P_Replacement: 0.23450462962962967 + +2023-08-09 16:19:51,462 - train: [ INFO] - Train: 185 [ 50/65 ( 78%)] Loss: 0.030292 (0.0298) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.70/s LR: 1.948e-04 P_Replacement: 0.23744202321347294 + +2023-08-09 16:20:01,375 - train: [ INFO] - Train: 185 [ 64/65 (100%)] Loss: 0.030955 (0.0299) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.71/s LR: 1.948e-04 P_Replacement: 0.23826886642984543 + +2023-08-09 16:20:02,430 - train: [ INFO] - Test: [ 0/7] Time: 0.855 (0.855) Loss: 0.5623 (0.5623) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:20:04,053 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.310) Loss: 1.0720 (0.5851) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (85.1724)Acc@5: 90.0000 (95.9770) + +2023-08-09 16:20:05,840 - train: [ INFO] - Train: 186 [ 0/65 ( 0%)] Loss: 0.030693 (0.0307) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.519s, 79.01/s LR: 1.920e-04 P_Replacement: 0.23832799999999998 + +2023-08-09 16:20:41,298 - train: [ INFO] - Train: 186 [ 50/65 ( 78%)] Loss: 0.023619 (0.0301) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.52/s LR: 1.920e-04 P_Replacement: 0.24129716873177226 + +2023-08-09 16:20:51,312 - train: [ INFO] - Train: 186 [ 64/65 (100%)] Loss: 0.032789 (0.0302) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.00/s LR: 1.920e-04 P_Replacement: 0.24213293255301 + +2023-08-09 16:20:52,349 - train: [ INFO] - Test: [ 0/7] Time: 0.897 (0.897) Loss: 0.6608 (0.6608) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:20:53,955 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.313) Loss: 0.4478 (0.5732) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (85.7471)Acc@5: 96.6667 (95.9770) + +2023-08-09 16:20:55,702 - train: [ INFO] - Train: 187 [ 0/65 ( 0%)] Loss: 0.026857 (0.0269) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.461s, 82.15/s LR: 1.892e-04 P_Replacement: 0.24219270370370366 + +2023-08-09 16:21:31,200 - train: [ INFO] - Train: 187 [ 50/65 ( 78%)] Loss: 0.030050 (0.0295) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.60/s LR: 1.892e-04 P_Replacement: 0.24519381852357586 + +2023-08-09 16:21:41,167 - train: [ INFO] - Train: 187 [ 64/65 (100%)] Loss: 0.026353 (0.0293) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.23/s LR: 1.892e-04 P_Replacement: 0.24603855081292667 + +2023-08-09 16:21:42,145 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 0.6958 (0.6958) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:21:43,711 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.307) Loss: 0.9658 (0.5970) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (85.2874)Acc@5: 86.6667 (95.4023) + +2023-08-09 16:21:45,517 - train: [ INFO] - Train: 188 [ 0/65 ( 0%)] Loss: 0.032022 (0.0320) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.500s, 79.99/s LR: 1.864e-04 P_Replacement: 0.24609896296296302 + +2023-08-09 16:22:21,151 - train: [ INFO] - Train: 188 [ 50/65 ( 78%)] Loss: 0.029055 (0.0292) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.82/s LR: 1.864e-04 P_Replacement: 0.2491321948111061 + +2023-08-09 16:22:31,154 - train: [ INFO] - Train: 188 [ 64/65 (100%)] Loss: 0.033324 (0.0306) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.48/s LR: 1.864e-04 P_Replacement: 0.24998594343181785 + +2023-08-09 16:22:32,202 - train: [ INFO] - Test: [ 0/7] Time: 0.880 (0.880) Loss: 0.7953 (0.7953) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:22:33,916 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.324) Loss: 0.6967 (0.6180) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (84.8276)Acc@5: 90.0000 (94.9425) + +2023-08-09 16:22:35,619 - train: [ INFO] - Train: 189 [ 0/65 ( 0%)] Loss: 0.024799 (0.0248) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.443s, 83.14/s LR: 1.836e-04 P_Replacement: 0.250047 + +2023-08-09 16:23:11,266 - train: [ INFO] - Train: 189 [ 50/65 ( 78%)] Loss: 0.026493 (0.0351) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.01/s LR: 1.836e-04 P_Replacement: 0.2531125198165849 + +2023-08-09 16:23:21,255 - train: [ INFO] - Train: 189 [ 64/65 (100%)] Loss: 0.030770 (0.0347) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.69/s LR: 1.836e-04 P_Replacement: 0.25397533263190547 + +2023-08-09 16:23:22,278 - train: [ INFO] - Test: [ 0/7] Time: 0.877 (0.877) Loss: 0.3665 (0.3665) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 99.1667 (99.1667) + +2023-08-09 16:23:23,971 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.321) Loss: 0.6060 (0.5929) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (84.7126)Acc@5: 96.6667 (95.5172) + +2023-08-09 16:23:25,721 - train: [ INFO] - Train: 190 [ 0/65 ( 0%)] Loss: 0.028857 (0.0289) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.475s, 81.35/s LR: 1.808e-04 P_Replacement: 0.254037037037037 + +2023-08-09 16:24:01,385 - train: [ INFO] - Train: 190 [ 50/65 ( 78%)] Loss: 0.031002 (0.0296) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.80/s LR: 1.808e-04 P_Replacement: 0.25713501576223463 + +2023-08-09 16:24:11,349 - train: [ INFO] - Train: 190 [ 64/65 (100%)] Loss: 0.026977 (0.0297) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.61/s LR: 1.808e-04 P_Replacement: 0.2580069406354119 + +2023-08-09 16:24:12,375 - train: [ INFO] - Test: [ 0/7] Time: 0.872 (0.872) Loss: 0.5087 (0.5087) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 98.3333 (98.3333) + +2023-08-09 16:24:14,005 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.313) Loss: 0.7675 (0.5584) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (85.7471)Acc@5: 93.3333 (96.0920) + +2023-08-09 16:24:15,730 - train: [ INFO] - Train: 191 [ 0/65 ( 0%)] Loss: 0.025032 (0.0250) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.462s, 82.07/s LR: 1.781e-04 P_Replacement: 0.2580692962962964 + +2023-08-09 16:24:51,560 - train: [ INFO] - Train: 191 [ 50/65 ( 78%)] Loss: 0.029426 (0.0297) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.12/s LR: 1.781e-04 P_Replacement: 0.2611999048702777 + +2023-08-09 16:25:01,622 - train: [ INFO] - Train: 191 [ 64/65 (100%)] Loss: 0.025100 (0.0296) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.73/s LR: 1.781e-04 P_Replacement: 0.26208098966455945 + +2023-08-09 16:25:02,692 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 0.5293 (0.5293) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:25:04,381 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.327) Loss: 0.8657 (0.5691) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (85.2874)Acc@5: 86.6667 (95.6322) + +2023-08-09 16:25:06,125 - train: [ INFO] - Train: 192 [ 0/65 ( 0%)] Loss: 0.035837 (0.0358) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.451s, 82.67/s LR: 1.754e-04 P_Replacement: 0.26214400000000004 + +2023-08-09 16:25:41,859 - train: [ INFO] - Train: 192 [ 50/65 ( 78%)] Loss: 0.027645 (0.0291) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.59/s LR: 1.754e-04 P_Replacement: 0.265307409362936 + +2023-08-09 16:25:51,818 - train: [ INFO] - Train: 192 [ 64/65 (100%)] Loss: 0.029988 (0.0290) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.46/s LR: 1.754e-04 P_Replacement: 0.26619770194157016 + +2023-08-09 16:25:52,922 - train: [ INFO] - Test: [ 0/7] Time: 0.978 (0.978) Loss: 0.5233 (0.5233) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:25:54,566 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.328) Loss: 0.5947 (0.5827) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.2069)Acc@5: 100.0000 (95.4023) + +2023-08-09 16:25:56,306 - train: [ INFO] - Train: 193 [ 0/65 ( 0%)] Loss: 0.025786 (0.0258) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.503s, 79.82/s LR: 1.726e-04 P_Replacement: 0.26626137037037034 + +2023-08-09 16:26:31,810 - train: [ INFO] - Train: 193 [ 50/65 ( 78%)] Loss: 0.028460 (0.0280) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.38/s LR: 1.726e-04 P_Replacement: 0.2694577514624319 + +2023-08-09 16:26:41,780 - train: [ INFO] - Train: 193 [ 64/65 (100%)] Loss: 0.029285 (0.0281) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.05/s LR: 1.726e-04 P_Replacement: 0.27035729968866634 + +2023-08-09 16:26:42,925 - train: [ INFO] - Test: [ 0/7] Time: 0.947 (0.947) Loss: 0.6707 (0.6707) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:26:44,565 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.323) Loss: 0.7186 (0.5602) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (85.9770)Acc@5: 90.0000 (95.4023) + +2023-08-09 16:26:46,487 - train: [ INFO] - Train: 194 [ 0/65 ( 0%)] Loss: 0.035462 (0.0355) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.645s, 72.95/s LR: 1.699e-04 P_Replacement: 0.27042162962962957 + +2023-08-09 16:27:22,291 - train: [ INFO] - Train: 194 [ 50/65 ( 78%)] Loss: 0.024215 (0.0284) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 163.44/s LR: 1.699e-04 P_Replacement: 0.2736511533909878 + +2023-08-09 16:27:32,293 - train: [ INFO] - Train: 194 [ 64/65 (100%)] Loss: 0.026520 (0.0280) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.39/s LR: 1.699e-04 P_Replacement: 0.27456000512807033 + +2023-08-09 16:27:33,336 - train: [ INFO] - Test: [ 0/7] Time: 0.903 (0.903) Loss: 0.5901 (0.5901) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:27:34,995 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.320) Loss: 0.4786 (0.5739) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (86.2069)Acc@5: 90.0000 (95.1724) + +2023-08-09 16:27:36,799 - train: [ INFO] - Train: 195 [ 0/65 ( 0%)] Loss: 0.025414 (0.0254) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.546s, 77.62/s LR: 1.672e-04 P_Replacement: 0.274625 + +2023-08-09 16:28:12,528 - train: [ INFO] - Train: 195 [ 50/65 ( 78%)] Loss: 0.030185 (0.0282) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.19/s LR: 1.672e-04 P_Replacement: 0.27788783737082556 + +2023-08-09 16:28:22,567 - train: [ INFO] - Train: 195 [ 64/65 (100%)] Loss: 0.025560 (0.0282) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.86/s LR: 1.672e-04 P_Replacement: 0.2788060404820041 + +2023-08-09 16:28:23,592 - train: [ INFO] - Test: [ 0/7] Time: 0.916 (0.916) Loss: 0.3524 (0.3524) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 99.1667 (99.1667) + +2023-08-09 16:28:25,268 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.324) Loss: 1.0723 (0.5710) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (86.0920)Acc@5: 90.0000 (95.4023) + +2023-08-09 16:28:27,091 - train: [ INFO] - Train: 196 [ 0/65 ( 0%)] Loss: 0.028407 (0.0284) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.586s, 75.65/s LR: 1.646e-04 P_Replacement: 0.2788717037037037 + +2023-08-09 16:29:02,790 - train: [ INFO] - Train: 196 [ 50/65 ( 78%)] Loss: 0.027857 (0.0277) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.15/s LR: 1.646e-04 P_Replacement: 0.2821680256241676 + +2023-08-09 16:29:12,738 - train: [ INFO] - Train: 196 [ 64/65 (100%)] Loss: 0.024552 (0.0276) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.14/s LR: 1.646e-04 P_Replacement: 0.28309562797269 + +2023-08-09 16:29:13,789 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.4627 (0.4627) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:29:15,478 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.328) Loss: 0.8981 (0.5674) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (86.0920)Acc@5: 93.3333 (95.6322) + +2023-08-09 16:29:17,378 - train: [ INFO] - Train: 197 [ 0/65 ( 0%)] Loss: 0.031633 (0.0316) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.620s, 74.08/s LR: 1.619e-04 P_Replacement: 0.2831619629629629 + +2023-08-09 16:29:53,060 - train: [ INFO] - Train: 197 [ 50/65 ( 78%)] Loss: 0.031808 (0.0278) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.08/s LR: 1.619e-04 P_Replacement: 0.28649194037323616 + +2023-08-09 16:30:03,073 - train: [ INFO] - Train: 197 [ 64/65 (100%)] Loss: 0.031208 (0.0279) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.86/s LR: 1.619e-04 P_Replacement: 0.28742898982235027 + +2023-08-09 16:30:04,163 - train: [ INFO] - Test: [ 0/7] Time: 0.936 (0.936) Loss: 0.5945 (0.5945) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:30:05,745 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.315) Loss: 0.5075 (0.5551) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (86.6667)Acc@5: 96.6667 (95.6322) + +2023-08-09 16:30:06,009 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-197.pth.tar', 86.6666725421774) + +2023-08-09 16:30:07,650 - train: [ INFO] - Train: 198 [ 0/65 ( 0%)] Loss: 0.028760 (0.0288) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.623s, 73.95/s LR: 1.592e-04 P_Replacement: 0.28749600000000003 + +2023-08-09 16:30:43,546 - train: [ INFO] - Train: 198 [ 50/65 ( 78%)] Loss: 0.025929 (0.0277) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.736s, 163.13/s LR: 1.592e-04 P_Replacement: 0.29085980384025356 + +2023-08-09 16:30:53,542 - train: [ INFO] - Train: 198 [ 64/65 (100%)] Loss: 0.025178 (0.0276) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.17/s LR: 1.592e-04 P_Replacement: 0.2918063482532073 + +2023-08-09 16:30:54,653 - train: [ INFO] - Test: [ 0/7] Time: 0.953 (0.953) Loss: 0.6446 (0.6446) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:30:56,309 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.326) Loss: 0.8235 (0.5551) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (86.8966)Acc@5: 93.3333 (95.5172) + +2023-08-09 16:30:56,538 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-198.pth.tar', 86.89655672270676) + +2023-08-09 16:30:58,135 - train: [ INFO] - Train: 199 [ 0/65 ( 0%)] Loss: 0.034889 (0.0349) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.578s, 76.05/s LR: 1.566e-04 P_Replacement: 0.291874037037037 + +2023-08-09 16:31:33,776 - train: [ INFO] - Train: 199 [ 50/65 ( 78%)] Loss: 0.026285 (0.0273) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.44/s LR: 1.566e-04 P_Replacement: 0.2952718382474418 + +2023-08-09 16:31:43,768 - train: [ INFO] - Train: 199 [ 64/65 (100%)] Loss: 0.024284 (0.0272) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.23/s LR: 1.566e-04 P_Replacement: 0.29622792548748295 + +2023-08-09 16:31:44,779 - train: [ INFO] - Test: [ 0/7] Time: 0.895 (0.895) Loss: 0.5529 (0.5529) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:31:46,385 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.313) Loss: 0.8003 (0.5627) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (86.2069)Acc@5: 96.6667 (95.6322) + +2023-08-09 16:31:48,157 - train: [ INFO] - Train: 200 [ 0/65 ( 0%)] Loss: 0.029169 (0.0292) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.547s, 77.56/s LR: 1.540e-04 P_Replacement: 0.2962962962962962 + +2023-08-09 16:32:24,012 - train: [ INFO] - Train: 200 [ 50/65 ( 78%)] Loss: 0.028633 (0.0267) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 163.64/s LR: 1.540e-04 P_Replacement: 0.29972826581702317 + +2023-08-09 16:32:34,036 - train: [ INFO] - Train: 200 [ 64/65 (100%)] Loss: 0.025173 (0.0269) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.48/s LR: 1.540e-04 P_Replacement: 0.3006939437473996 + +2023-08-09 16:32:35,050 - train: [ INFO] - Test: [ 0/7] Time: 0.909 (0.909) Loss: 0.5269 (0.5269) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:32:36,700 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.320) Loss: 0.6457 (0.5675) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.2069)Acc@5: 96.6667 (95.8621) + +2023-08-09 16:32:38,532 - train: [ INFO] - Train: 201 [ 0/65 ( 0%)] Loss: 0.030316 (0.0303) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.565s, 76.69/s LR: 1.514e-04 P_Replacement: 0.30076300000000006 + +2023-08-09 16:33:14,173 - train: [ INFO] - Train: 201 [ 50/65 ( 78%)] Loss: 0.024561 (0.0264) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.50/s LR: 1.514e-04 P_Replacement: 0.30422930877122006 + +2023-08-09 16:33:24,205 - train: [ INFO] - Train: 201 [ 64/65 (100%)] Loss: 0.024199 (0.0263) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.13/s LR: 1.514e-04 P_Replacement: 0.30520462525517966 + +2023-08-09 16:33:25,246 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 0.5084 (0.5084) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:33:26,920 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.325) Loss: 0.9001 (0.5576) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (87.0115)Acc@5: 93.3333 (95.6322) + +2023-08-09 16:33:27,158 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-201.pth.tar', 87.01150039146687) + +2023-08-09 16:33:28,820 - train: [ INFO] - Train: 202 [ 0/65 ( 0%)] Loss: 0.026719 (0.0267) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.646s, 72.88/s LR: 1.488e-04 P_Replacement: 0.30527437037037036 + +2023-08-09 16:34:04,613 - train: [ INFO] - Train: 202 [ 50/65 ( 78%)] Loss: 0.024140 (0.0272) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 163.48/s LR: 1.488e-04 P_Replacement: 0.3087751893322544 + +2023-08-09 16:34:14,594 - train: [ INFO] - Train: 202 [ 64/65 (100%)] Loss: 0.029573 (0.0271) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.50/s LR: 1.488e-04 P_Replacement: 0.3097601922330451 + +2023-08-09 16:34:15,796 - train: [ INFO] - Test: [ 0/7] Time: 1.078 (1.078) Loss: 0.4966 (0.4966) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:34:17,519 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.350) Loss: 0.3231 (0.5778) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (86.0920)Acc@5: 96.6667 (95.7471) + +2023-08-09 16:34:19,433 - train: [ INFO] - Train: 203 [ 0/65 ( 0%)] Loss: 0.025449 (0.0254) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.629s, 73.65/s LR: 1.462e-04 P_Replacement: 0.3098306296296296 + +2023-08-09 16:34:55,339 - train: [ INFO] - Train: 203 [ 50/65 ( 78%)] Loss: 0.023798 (0.0257) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.736s, 163.06/s LR: 1.462e-04 P_Replacement: 0.3133661297223486 + +2023-08-09 16:35:05,419 - train: [ INFO] - Train: 203 [ 64/65 (100%)] Loss: 0.023435 (0.0263) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.83/s LR: 1.462e-04 P_Replacement: 0.31436086690321813 + +2023-08-09 16:35:06,546 - train: [ INFO] - Test: [ 0/7] Time: 0.991 (0.991) Loss: 0.6326 (0.6326) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:35:08,218 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.333) Loss: 0.1610 (0.5549) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (86.3218)Acc@5: 100.0000 (96.2069) + +2023-08-09 16:35:10,137 - train: [ INFO] - Train: 204 [ 0/65 ( 0%)] Loss: 0.026169 (0.0262) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.653s, 72.58/s LR: 1.437e-04 P_Replacement: 0.31443200000000004 + +2023-08-09 16:35:46,104 - train: [ INFO] - Train: 204 [ 50/65 ( 78%)] Loss: 0.026366 (0.0257) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.738s, 162.69/s LR: 1.437e-04 P_Replacement: 0.318002352163725 + +2023-08-09 16:35:56,092 - train: [ INFO] - Train: 204 [ 64/65 (100%)] Loss: 0.026911 (0.0259) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.85/s LR: 1.437e-04 P_Replacement: 0.3190068714879213 + +2023-08-09 16:35:57,147 - train: [ INFO] - Test: [ 0/7] Time: 0.938 (0.938) Loss: 0.4625 (0.4625) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:35:58,753 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.318) Loss: 0.4569 (0.5721) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (86.5517)Acc@5: 96.6667 (95.5172) + +2023-08-09 16:36:00,668 - train: [ INFO] - Train: 205 [ 0/65 ( 0%)] Loss: 0.024617 (0.0246) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.622s, 73.99/s LR: 1.411e-04 P_Replacement: 0.3190787037037037 + +2023-08-09 16:36:36,386 - train: [ INFO] - Train: 205 [ 50/65 ( 78%)] Loss: 0.023090 (0.0257) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.91/s LR: 1.411e-04 P_Replacement: 0.3226840788786055 + +2023-08-09 16:36:46,446 - train: [ INFO] - Train: 205 [ 64/65 (100%)] Loss: 0.029961 (0.0260) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.57/s LR: 1.411e-04 P_Replacement: 0.32369842820937644 + +2023-08-09 16:36:47,530 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 0.5696 (0.5696) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:36:49,154 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.319) Loss: 0.2472 (0.5510) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (86.8966)Acc@5: 100.0000 (96.0920) + +2023-08-09 16:36:51,255 - train: [ INFO] - Train: 206 [ 0/65 ( 0%)] Loss: 0.027909 (0.0279) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.829s, 65.62/s LR: 1.386e-04 P_Replacement: 0.3237709629629629 + +2023-08-09 16:37:27,156 - train: [ INFO] - Train: 206 [ 50/65 ( 78%)] Loss: 0.024464 (0.0256) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.740s, 162.22/s LR: 1.386e-04 P_Replacement: 0.32741153208921253 + +2023-08-09 16:37:37,246 - train: [ INFO] - Train: 206 [ 64/65 (100%)] Loss: 0.025335 (0.0257) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.736s, 163.13/s LR: 1.386e-04 P_Replacement: 0.32843575928980595 + +2023-08-09 16:37:38,303 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 0.5910 (0.5910) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:37:39,973 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.324) Loss: 0.6722 (0.5578) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (87.0115)Acc@5: 96.6667 (96.0920) + +2023-08-09 16:37:41,876 - train: [ INFO] - Train: 207 [ 0/65 ( 0%)] Loss: 0.023664 (0.0237) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.641s, 73.12/s LR: 1.361e-04 P_Replacement: 0.32850899999999994 + +2023-08-09 16:38:17,760 - train: [ INFO] - Train: 207 [ 50/65 ( 78%)] Loss: 0.022651 (0.0257) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.736s, 163.10/s LR: 1.361e-04 P_Replacement: 0.3321849340177684 + +2023-08-09 16:38:27,776 - train: [ INFO] - Train: 207 [ 64/65 (100%)] Loss: 0.025276 (0.0255) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.08/s LR: 1.361e-04 P_Replacement: 0.33321908695143215 + +2023-08-09 16:38:28,840 - train: [ INFO] - Test: [ 0/7] Time: 0.944 (0.944) Loss: 0.4475 (0.4475) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:38:30,541 - train: [ INFO] - Test: [ 7/7] Time: 0.072 (0.331) Loss: 0.7858 (0.5577) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (86.7816)Acc@5: 93.3333 (95.8621) + +2023-08-09 16:38:32,440 - train: [ INFO] - Train: 208 [ 0/65 ( 0%)] Loss: 0.023447 (0.0234) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.654s, 72.54/s LR: 1.336e-04 P_Replacement: 0.33329303703703705 + +2023-08-09 16:39:08,424 - train: [ INFO] - Train: 208 [ 50/65 ( 78%)] Loss: 0.023692 (0.0248) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.738s, 162.61/s LR: 1.336e-04 P_Replacement: 0.3370045068864951 + +2023-08-09 16:39:18,595 - train: [ INFO] - Train: 208 [ 64/65 (100%)] Loss: 0.029455 (0.0247) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.735s, 163.16/s LR: 1.336e-04 P_Replacement: 0.33804863341647706 + +2023-08-09 16:39:19,808 - train: [ INFO] - Test: [ 0/7] Time: 1.084 (1.084) Loss: 0.7250 (0.7250) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:39:21,444 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.340) Loss: 0.3277 (0.5638) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (87.1264)Acc@5: 100.0000 (95.9770) + +2023-08-09 16:39:21,709 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-208.pth.tar', 87.1264411663187) + +2023-08-09 16:39:23,346 - train: [ INFO] - Train: 209 [ 0/65 ( 0%)] Loss: 0.027148 (0.0271) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.619s, 74.13/s LR: 1.312e-04 P_Replacement: 0.3381232962962963 + +2023-08-09 16:39:59,097 - train: [ INFO] - Train: 209 [ 50/65 ( 78%)] Loss: 0.026025 (0.0254) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 163.78/s LR: 1.312e-04 P_Replacement: 0.3418704729176149 + +2023-08-09 16:40:09,160 - train: [ INFO] - Train: 209 [ 64/65 (100%)] Loss: 0.022583 (0.0253) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.46/s LR: 1.312e-04 P_Replacement: 0.34292462090716297 + +2023-08-09 16:40:10,264 - train: [ INFO] - Test: [ 0/7] Time: 0.976 (0.976) Loss: 0.5530 (0.5530) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:40:11,905 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.327) Loss: 0.8767 (0.5485) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (87.0115)Acc@5: 93.3333 (96.2069) + +2023-08-09 16:40:13,676 - train: [ INFO] - Train: 210 [ 0/65 ( 0%)] Loss: 0.029337 (0.0293) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.503s, 79.86/s LR: 1.287e-04 P_Replacement: 0.3429999999999999 + +2023-08-09 16:40:49,398 - train: [ INFO] - Train: 210 [ 50/65 ( 78%)] Loss: 0.023641 (0.0261) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.42/s LR: 1.287e-04 P_Replacement: 0.3467830543333501 + +2023-08-09 16:40:59,436 - train: [ INFO] - Train: 210 [ 64/65 (100%)] Loss: 0.025516 (0.0259) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.05/s LR: 1.287e-04 P_Replacement: 0.3478472716457121 + +2023-08-09 16:41:00,515 - train: [ INFO] - Test: [ 0/7] Time: 0.960 (0.960) Loss: 0.5142 (0.5142) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:41:02,208 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.332) Loss: 0.4112 (0.5425) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.5862)Acc@5: 100.0000 (96.2069) + +2023-08-09 16:41:02,503 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-210.pth.tar', 87.58621347361597) + +2023-08-09 16:41:04,156 - train: [ INFO] - Train: 211 [ 0/65 ( 0%)] Loss: 0.027284 (0.0273) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.634s, 73.42/s LR: 1.263e-04 P_Replacement: 0.3479233703703704 + +2023-08-09 16:41:40,067 - train: [ INFO] - Train: 211 [ 50/65 ( 78%)] Loss: 0.023376 (0.0253) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.736s, 163.01/s LR: 1.263e-04 P_Replacement: 0.35174247335592307 + +2023-08-09 16:41:50,120 - train: [ INFO] - Train: 211 [ 64/65 (100%)] Loss: 0.027034 (0.0253) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.88/s LR: 1.263e-04 P_Replacement: 0.3528168078543469 + +2023-08-09 16:41:51,281 - train: [ INFO] - Test: [ 0/7] Time: 0.997 (0.997) Loss: 0.5913 (0.5913) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:41:52,983 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.337) Loss: 0.7665 (0.5680) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (86.0920)Acc@5: 90.0000 (95.9770) + +2023-08-09 16:41:54,903 - train: [ INFO] - Train: 212 [ 0/65 ( 0%)] Loss: 0.021068 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.656s, 72.45/s LR: 1.239e-04 P_Replacement: 0.3528936296296296 + +2023-08-09 16:42:30,747 - train: [ INFO] - Train: 212 [ 50/65 ( 78%)] Loss: 0.021842 (0.0246) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.735s, 163.21/s LR: 1.239e-04 P_Replacement: 0.35674895220755576 + +2023-08-09 16:42:40,667 - train: [ INFO] - Train: 212 [ 64/65 (100%)] Loss: 0.027793 (0.0248) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.50/s LR: 1.239e-04 P_Replacement: 0.3578334517552892 + +2023-08-09 16:42:41,748 - train: [ INFO] - Test: [ 0/7] Time: 0.909 (0.909) Loss: 0.5331 (0.5331) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:42:43,397 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.320) Loss: 1.0024 (0.5798) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (86.0920)Acc@5: 93.3333 (96.2069) + +2023-08-09 16:42:45,318 - train: [ INFO] - Train: 213 [ 0/65 ( 0%)] Loss: 0.022250 (0.0222) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.634s, 73.43/s LR: 1.215e-04 P_Replacement: 0.3579109999999999 + +2023-08-09 16:43:20,972 - train: [ INFO] - Train: 213 [ 50/65 ( 78%)] Loss: 0.026994 (0.0254) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.14/s LR: 1.215e-04 P_Replacement: 0.36180271311047046 + +2023-08-09 16:43:30,995 - train: [ INFO] - Train: 213 [ 64/65 (100%)] Loss: 0.021210 (0.0251) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.88/s LR: 1.215e-04 P_Replacement: 0.36289742557076143 + +2023-08-09 16:43:32,093 - train: [ INFO] - Test: [ 0/7] Time: 0.955 (0.955) Loss: 0.4188 (0.4188) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:43:33,811 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.334) Loss: 0.5106 (0.5707) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.5517)Acc@5: 96.6667 (95.7471) + +2023-08-09 16:43:35,750 - train: [ INFO] - Train: 214 [ 0/65 ( 0%)] Loss: 0.021489 (0.0215) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.651s, 72.67/s LR: 1.191e-04 P_Replacement: 0.36297570370370374 + +2023-08-09 16:44:11,697 - train: [ INFO] - Train: 214 [ 50/65 ( 78%)] Loss: 0.023411 (0.0242) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.737s, 162.79/s LR: 1.191e-04 P_Replacement: 0.3669039782868896 + +2023-08-09 16:44:21,863 - train: [ INFO] - Train: 214 [ 64/65 (100%)] Loss: 0.026790 (0.0245) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.735s, 163.32/s LR: 1.191e-04 P_Replacement: 0.36800895152298596 + +2023-08-09 16:44:22,901 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 0.5037 (0.5037) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:44:24,525 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.314) Loss: 0.1995 (0.5701) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (86.0920)Acc@5: 100.0000 (96.0920) + +2023-08-09 16:44:26,264 - train: [ INFO] - Train: 215 [ 0/65 ( 0%)] Loss: 0.024817 (0.0248) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.78/s LR: 1.167e-04 P_Replacement: 0.368087962962963 + +2023-08-09 16:45:01,906 - train: [ INFO] - Train: 215 [ 50/65 ( 78%)] Loss: 0.029304 (0.0243) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.79/s LR: 1.167e-04 P_Replacement: 0.37205296995903503 + +2023-08-09 16:45:11,879 - train: [ INFO] - Train: 215 [ 64/65 (100%)] Loss: 0.021669 (0.0241) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.57/s LR: 1.167e-04 P_Replacement: 0.37316825183418467 + +2023-08-09 16:45:12,944 - train: [ INFO] - Test: [ 0/7] Time: 0.943 (0.943) Loss: 0.5018 (0.5018) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:45:14,631 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.329) Loss: 0.7233 (0.5474) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (87.0115)Acc@5: 96.6667 (96.3218) + +2023-08-09 16:45:16,417 - train: [ INFO] - Train: 216 [ 0/65 ( 0%)] Loss: 0.021124 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.527s, 78.60/s LR: 1.144e-04 P_Replacement: 0.37324799999999997 + +2023-08-09 16:45:52,071 - train: [ INFO] - Train: 216 [ 50/65 ( 78%)] Loss: 0.021258 (0.0240) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.61/s LR: 1.144e-04 P_Replacement: 0.37724991034912925 + +2023-08-09 16:46:02,158 - train: [ INFO] - Train: 216 [ 64/65 (100%)] Loss: 0.023593 (0.0241) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.03/s LR: 1.144e-04 P_Replacement: 0.37837554872657997 + +2023-08-09 16:46:03,351 - train: [ INFO] - Test: [ 0/7] Time: 0.989 (0.989) Loss: 0.4383 (0.4383) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 98.3333 (98.3333) + +2023-08-09 16:46:05,078 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.340) Loss: 0.7528 (0.5567) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (87.7012)Acc@5: 93.3333 (96.4368) + +2023-08-09 16:46:05,343 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-216.pth.tar', 87.70115661621094) + +2023-08-09 16:46:06,902 - train: [ INFO] - Train: 217 [ 0/65 ( 0%)] Loss: 0.025576 (0.0256) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.536s, 78.12/s LR: 1.121e-04 P_Replacement: 0.3784560370370371 + +2023-08-09 16:46:42,638 - train: [ INFO] - Train: 217 [ 50/65 ( 78%)] Loss: 0.025331 (0.0238) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.21/s LR: 1.121e-04 P_Replacement: 0.38249502167939453 + +2023-08-09 16:46:52,609 - train: [ INFO] - Train: 217 [ 64/65 (100%)] Loss: 0.026193 (0.0238) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.11/s LR: 1.121e-04 P_Replacement: 0.38363106442239425 + +2023-08-09 16:46:53,717 - train: [ INFO] - Test: [ 0/7] Time: 0.974 (0.974) Loss: 0.5615 (0.5615) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:46:55,433 - train: [ INFO] - Test: [ 7/7] Time: 0.075 (0.336) Loss: 0.8440 (0.5660) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (87.2414)Acc@5: 96.6667 (96.3218) + +2023-08-09 16:46:57,354 - train: [ INFO] - Train: 218 [ 0/65 ( 0%)] Loss: 0.021381 (0.0214) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.635s, 73.38/s LR: 1.098e-04 P_Replacement: 0.38371229629629633 + +2023-08-09 16:47:33,008 - train: [ INFO] - Train: 218 [ 50/65 ( 78%)] Loss: 0.026515 (0.0235) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.13/s LR: 1.098e-04 P_Replacement: 0.3877885261720528 + +2023-08-09 16:47:43,027 - train: [ INFO] - Train: 218 [ 64/65 (100%)] Loss: 0.024555 (0.0237) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.89/s LR: 1.098e-04 P_Replacement: 0.38893502114384937 + +2023-08-09 16:47:44,029 - train: [ INFO] - Test: [ 0/7] Time: 0.900 (0.900) Loss: 0.5251 (0.5251) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:47:45,683 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.319) Loss: 0.8609 (0.5637) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (87.0115)Acc@5: 93.3333 (96.4368) + +2023-08-09 16:47:47,568 - train: [ INFO] - Train: 219 [ 0/65 ( 0%)] Loss: 0.023951 (0.0240) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.607s, 74.69/s LR: 1.075e-04 P_Replacement: 0.38901699999999995 + +2023-08-09 16:48:23,313 - train: [ INFO] - Train: 219 [ 50/65 ( 78%)] Loss: 0.027015 (0.0242) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.86/s LR: 1.075e-04 P_Replacement: 0.39313064604932646 + +2023-08-09 16:48:33,351 - train: [ INFO] - Train: 219 [ 64/65 (100%)] Loss: 0.019978 (0.0241) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.60/s LR: 1.075e-04 P_Replacement: 0.3942876411131678 + +2023-08-09 16:48:34,450 - train: [ INFO] - Test: [ 0/7] Time: 0.942 (0.942) Loss: 0.5571 (0.5571) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:48:36,188 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.335) Loss: 0.6075 (0.5493) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (87.9310)Acc@5: 96.6667 (96.0920) + +2023-08-09 16:48:36,466 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-219.pth.tar', 87.9310381659146) + +2023-08-09 16:48:37,957 - train: [ INFO] - Train: 220 [ 0/65 ( 0%)] Loss: 0.025114 (0.0251) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.479s, 81.16/s LR: 1.053e-04 P_Replacement: 0.39437037037037026 + +2023-08-09 16:49:13,873 - train: [ INFO] - Train: 220 [ 50/65 ( 78%)] Loss: 0.028528 (0.0242) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 163.67/s LR: 1.053e-04 P_Replacement: 0.3985216035334379 + +2023-08-09 16:49:23,870 - train: [ INFO] - Train: 220 [ 64/65 (100%)] Loss: 0.022933 (0.0241) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.60/s LR: 1.053e-04 P_Replacement: 0.3996891465525716 + +2023-08-09 16:49:24,945 - train: [ INFO] - Test: [ 0/7] Time: 0.950 (0.950) Loss: 0.5288 (0.5288) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:49:26,723 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.341) Loss: 0.3416 (0.5264) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.1609)Acc@5: 100.0000 (96.7816) + +2023-08-09 16:49:26,997 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-220.pth.tar', 88.16092418802195) + +2023-08-09 16:49:28,651 - train: [ INFO] - Train: 221 [ 0/65 ( 0%)] Loss: 0.025854 (0.0259) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.631s, 73.57/s LR: 1.030e-04 P_Replacement: 0.39977262962962967 + +2023-08-09 16:50:04,435 - train: [ INFO] - Train: 221 [ 50/65 ( 78%)] Loss: 0.021014 (0.0235) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 163.58/s LR: 1.030e-04 P_Replacement: 0.403961620846609 + +2023-08-09 16:50:14,448 - train: [ INFO] - Train: 221 [ 64/65 (100%)] Loss: 0.027347 (0.0237) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.47/s LR: 1.030e-04 P_Replacement: 0.40513975968428334 + +2023-08-09 16:50:15,565 - train: [ INFO] - Test: [ 0/7] Time: 0.968 (0.968) Loss: 0.4728 (0.4728) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:50:17,330 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.341) Loss: 0.5546 (0.5599) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (87.5862)Acc@5: 100.0000 (96.5517) + +2023-08-09 16:50:19,187 - train: [ INFO] - Train: 222 [ 0/65 ( 0%)] Loss: 0.021587 (0.0216) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.561s, 76.90/s LR: 1.008e-04 P_Replacement: 0.405224 + +2023-08-09 16:50:55,009 - train: [ INFO] - Train: 222 [ 50/65 ( 78%)] Loss: 0.021761 (0.0238) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 163.73/s LR: 1.008e-04 P_Replacement: 0.4094509202110622 + +2023-08-09 16:51:05,021 - train: [ INFO] - Train: 222 [ 64/65 (100%)] Loss: 0.022407 (0.0238) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.59/s LR: 1.008e-04 P_Replacement: 0.41063970273052475 + +2023-08-09 16:51:06,156 - train: [ INFO] - Test: [ 0/7] Time: 0.961 (0.961) Loss: 0.6231 (0.6231) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:51:07,833 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.330) Loss: 0.4610 (0.5716) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (87.0115)Acc@5: 100.0000 (95.8621) + +2023-08-09 16:51:09,685 - train: [ INFO] - Train: 223 [ 0/65 ( 0%)] Loss: 0.021219 (0.0212) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.520s, 78.94/s LR: 9.865e-05 P_Replacement: 0.4107247037037036 + +2023-08-09 16:51:45,388 - train: [ INFO] - Train: 223 [ 50/65 ( 78%)] Loss: 0.022185 (0.0238) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.42/s LR: 9.865e-05 P_Replacement: 0.4149897238490196 + +2023-08-09 16:51:55,421 - train: [ INFO] - Train: 223 [ 64/65 (100%)] Loss: 0.025750 (0.0237) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.07/s LR: 9.865e-05 P_Replacement: 0.4161891979135184 + +2023-08-09 16:51:56,542 - train: [ INFO] - Test: [ 0/7] Time: 0.985 (0.985) Loss: 0.4892 (0.4892) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:51:58,306 - train: [ INFO] - Test: [ 7/7] Time: 0.072 (0.344) Loss: 0.2824 (0.5479) cLoss: 0.0000 (0.0000) Acc@1: 100.0000 (88.3908)Acc@5: 100.0000 (96.8966) + +2023-08-09 16:51:58,571 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-223.pth.tar', 88.39080836855132) + +2023-08-09 16:52:00,194 - train: [ INFO] - Train: 224 [ 0/65 ( 0%)] Loss: 0.021948 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.603s, 74.86/s LR: 9.649e-05 P_Replacement: 0.416274962962963 + +2023-08-09 16:52:35,981 - train: [ INFO] - Train: 224 [ 50/65 ( 78%)] Loss: 0.021926 (0.0236) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 163.69/s LR: 9.649e-05 P_Replacement: 0.4205782539827037 + +2023-08-09 16:52:45,988 - train: [ INFO] - Train: 224 [ 64/65 (100%)] Loss: 0.028714 (0.0237) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.58/s LR: 9.649e-05 P_Replacement: 0.4217884674554865 + +2023-08-09 16:52:47,071 - train: [ INFO] - Test: [ 0/7] Time: 0.966 (0.966) Loss: 0.5441 (0.5441) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:52:48,708 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.325) Loss: 0.5325 (0.5425) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.8161)Acc@5: 96.6667 (96.4368) + +2023-08-09 16:52:50,455 - train: [ INFO] - Train: 225 [ 0/65 ( 0%)] Loss: 0.020098 (0.0201) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.527s, 78.61/s LR: 9.434e-05 P_Replacement: 0.421875 + +2023-08-09 16:53:26,209 - train: [ INFO] - Train: 225 [ 50/65 ( 78%)] Loss: 0.020765 (0.0236) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.17/s LR: 9.434e-05 P_Replacement: 0.42621673283433636 + +2023-08-09 16:53:36,149 - train: [ INFO] - Train: 225 [ 64/65 (100%)] Loss: 0.022791 (0.0237) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.19/s LR: 9.434e-05 P_Replacement: 0.427437733578651 + +2023-08-09 16:53:37,187 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 0.5516 (0.5516) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:53:38,866 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.325) Loss: 0.3191 (0.5516) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.5862)Acc@5: 96.6667 (96.4368) + +2023-08-09 16:53:40,665 - train: [ INFO] - Train: 226 [ 0/65 ( 0%)] Loss: 0.023795 (0.0238) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.559s, 77.00/s LR: 9.222e-05 P_Replacement: 0.427525037037037 + +2023-08-09 16:54:16,392 - train: [ INFO] - Train: 226 [ 50/65 ( 78%)] Loss: 0.021022 (0.0232) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.15/s LR: 9.222e-05 P_Replacement: 0.4319053826261399 + +2023-08-09 16:54:26,420 - train: [ INFO] - Train: 226 [ 64/65 (100%)] Loss: 0.024505 (0.0232) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.87/s LR: 9.222e-05 P_Replacement: 0.43313721850523434 + +2023-08-09 16:54:27,469 - train: [ INFO] - Test: [ 0/7] Time: 0.945 (0.945) Loss: 0.3072 (0.3072) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 100.0000 (100.0000) + +2023-08-09 16:54:29,171 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.331) Loss: 0.5449 (0.5612) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.3563)Acc@5: 90.0000 (95.9770) + +2023-08-09 16:54:30,943 - train: [ INFO] - Train: 227 [ 0/65 ( 0%)] Loss: 0.021513 (0.0215) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.531s, 78.39/s LR: 9.012e-05 P_Replacement: 0.43322529629629636 + +2023-08-09 16:55:06,636 - train: [ INFO] - Train: 227 [ 50/65 ( 78%)] Loss: 0.020792 (0.0227) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.42/s LR: 9.012e-05 P_Replacement: 0.4376444255803369 + +2023-08-09 16:55:16,567 - train: [ INFO] - Train: 227 [ 64/65 (100%)] Loss: 0.024146 (0.0230) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.42/s LR: 9.012e-05 P_Replacement: 0.4388871444574589 + +2023-08-09 16:55:17,600 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 0.5588 (0.5588) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:55:19,182 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.311) Loss: 0.2960 (0.5760) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.0115)Acc@5: 100.0000 (96.5517) + +2023-08-09 16:55:20,960 - train: [ INFO] - Train: 228 [ 0/65 ( 0%)] Loss: 0.027549 (0.0275) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.547s, 77.59/s LR: 8.805e-05 P_Replacement: 0.43897600000000003 + +2023-08-09 16:55:56,532 - train: [ INFO] - Train: 228 [ 50/65 ( 78%)] Loss: 0.019889 (0.0232) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.89/s LR: 8.805e-05 P_Replacement: 0.443434083919149 + +2023-08-09 16:56:06,557 - train: [ INFO] - Train: 228 [ 64/65 (100%)] Loss: 0.021119 (0.0230) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.46/s LR: 8.805e-05 P_Replacement: 0.4446877336575465 + +2023-08-09 16:56:07,626 - train: [ INFO] - Test: [ 0/7] Time: 0.972 (0.972) Loss: 0.6450 (0.6450) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:56:09,325 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.334) Loss: 0.3679 (0.5454) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.5058)Acc@5: 96.6667 (96.5517) + +2023-08-09 16:56:09,609 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-228.pth.tar', 88.50575072189858) + +2023-08-09 16:56:11,154 - train: [ INFO] - Train: 229 [ 0/65 ( 0%)] Loss: 0.023187 (0.0232) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.529s, 78.49/s LR: 8.600e-05 P_Replacement: 0.44477737037037035 + +2023-08-09 16:56:46,875 - train: [ INFO] - Train: 229 [ 50/65 ( 78%)] Loss: 0.020973 (0.0227) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.30/s LR: 8.600e-05 P_Replacement: 0.44927457986479874 + +2023-08-09 16:56:56,912 - train: [ INFO] - Train: 229 [ 64/65 (100%)] Loss: 0.025455 (0.0229) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.96/s LR: 8.600e-05 P_Replacement: 0.45053920832771954 + +2023-08-09 16:56:57,995 - train: [ INFO] - Test: [ 0/7] Time: 0.989 (0.989) Loss: 0.5714 (0.5714) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:56:59,675 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.334) Loss: 0.6844 (0.5363) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (87.4713)Acc@5: 96.6667 (96.5517) + +2023-08-09 16:57:01,542 - train: [ INFO] - Train: 230 [ 0/65 ( 0%)] Loss: 0.024051 (0.0241) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.615s, 74.31/s LR: 8.397e-05 P_Replacement: 0.4506296296296297 + +2023-08-09 16:57:37,366 - train: [ INFO] - Train: 230 [ 50/65 ( 78%)] Loss: 0.023873 (0.0227) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 163.47/s LR: 8.397e-05 P_Replacement: 0.4551661356395085 + +2023-08-09 16:57:47,315 - train: [ INFO] - Train: 230 [ 64/65 (100%)] Loss: 0.020843 (0.0228) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.61/s LR: 8.397e-05 P_Replacement: 0.4564417906902005 + +2023-08-09 16:57:48,437 - train: [ INFO] - Test: [ 0/7] Time: 0.999 (0.999) Loss: 0.6457 (0.6457) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:57:50,144 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.338) Loss: 0.5407 (0.5406) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (87.5862)Acc@5: 100.0000 (96.3218) + +2023-08-09 16:57:52,003 - train: [ INFO] - Train: 231 [ 0/65 ( 0%)] Loss: 0.021173 (0.0212) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.584s, 75.76/s LR: 8.196e-05 P_Replacement: 0.456533 + +2023-08-09 16:58:27,734 - train: [ INFO] - Train: 231 [ 50/65 ( 78%)] Loss: 0.020044 (0.0228) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 164.02/s LR: 8.196e-05 P_Replacement: 0.4611089734655001 + +2023-08-09 16:58:37,806 - train: [ INFO] - Train: 231 [ 64/65 (100%)] Loss: 0.020175 (0.0228) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.61/s LR: 8.196e-05 P_Replacement: 0.4623957029672112 + +2023-08-09 16:58:38,862 - train: [ INFO] - Test: [ 0/7] Time: 0.954 (0.954) Loss: 0.3614 (0.3614) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:58:40,514 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.326) Loss: 0.5992 (0.5565) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (87.3563)Acc@5: 93.3333 (96.3218) + +2023-08-09 16:58:42,402 - train: [ INFO] - Train: 232 [ 0/65 ( 0%)] Loss: 0.020699 (0.0207) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.617s, 74.22/s LR: 7.998e-05 P_Replacement: 0.4624877037037037 + +2023-08-09 16:59:18,210 - train: [ INFO] - Train: 232 [ 50/65 ( 78%)] Loss: 0.019028 (0.0214) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 163.54/s LR: 7.998e-05 P_Replacement: 0.467103315564996 + +2023-08-09 16:59:28,239 - train: [ INFO] - Train: 232 [ 64/65 (100%)] Loss: 0.025160 (0.0216) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.38/s LR: 7.998e-05 P_Replacement: 0.46840116738097404 + +2023-08-09 16:59:29,220 - train: [ INFO] - Test: [ 0/7] Time: 0.895 (0.895) Loss: 0.5668 (0.5668) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:59:30,762 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.305) Loss: 0.4498 (0.5542) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.1264)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:59:32,490 - train: [ INFO] - Train: 233 [ 0/65 ( 0%)] Loss: 0.028376 (0.0284) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.485s, 80.82/s LR: 7.802e-05 P_Replacement: 0.46849396296296286 + +2023-08-09 17:00:08,258 - train: [ INFO] - Train: 233 [ 50/65 ( 78%)] Loss: 0.022583 (0.0225) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.29/s LR: 7.802e-05 P_Replacement: 0.47314938416021857 + +2023-08-09 17:00:18,299 - train: [ INFO] - Train: 233 [ 64/65 (100%)] Loss: 0.022014 (0.0225) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.94/s LR: 7.802e-05 P_Replacement: 0.4744584061537112 + +2023-08-09 17:00:19,321 - train: [ INFO] - Test: [ 0/7] Time: 0.919 (0.919) Loss: 0.5152 (0.5152) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:00:21,042 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.330) Loss: 0.7150 (0.5566) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (87.4713)Acc@5: 96.6667 (96.2069) + +2023-08-09 17:00:22,872 - train: [ INFO] - Train: 234 [ 0/65 ( 0%)] Loss: 0.021304 (0.0213) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.584s, 75.77/s LR: 7.609e-05 P_Replacement: 0.47455200000000003 + +2023-08-09 17:00:58,564 - train: [ INFO] - Train: 234 [ 50/65 ( 78%)] Loss: 0.023154 (0.0223) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.19/s LR: 7.609e-05 P_Replacement: 0.4792474014733897 + +2023-08-09 17:01:08,503 - train: [ INFO] - Train: 234 [ 64/65 (100%)] Loss: 0.020887 (0.0223) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.21/s LR: 7.609e-05 P_Replacement: 0.48056764150764514 + +2023-08-09 17:01:09,585 - train: [ INFO] - Test: [ 0/7] Time: 0.934 (0.934) Loss: 0.4139 (0.4139) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:01:11,265 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.327) Loss: 0.8783 (0.5384) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (87.7012)Acc@5: 90.0000 (96.5517) + +2023-08-09 17:01:13,074 - train: [ INFO] - Train: 235 [ 0/65 ( 0%)] Loss: 0.020904 (0.0209) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.531s, 78.40/s LR: 7.417e-05 P_Replacement: 0.480662037037037 + +2023-08-09 17:01:48,785 - train: [ INFO] - Train: 235 [ 50/65 ( 78%)] Loss: 0.020608 (0.0223) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.35/s LR: 7.417e-05 P_Replacement: 0.4853975897267317 + +2023-08-09 17:01:58,703 - train: [ INFO] - Train: 235 [ 64/65 (100%)] Loss: 0.029698 (0.0224) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.41/s LR: 7.417e-05 P_Replacement: 0.4867290956649977 + +2023-08-09 17:01:59,714 - train: [ INFO] - Test: [ 0/7] Time: 0.895 (0.895) Loss: 0.4666 (0.4666) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:02:01,413 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.324) Loss: 0.2088 (0.5453) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (87.0115)Acc@5: 100.0000 (96.3218) + +2023-08-09 17:02:03,179 - train: [ INFO] - Train: 236 [ 0/65 ( 0%)] Loss: 0.021447 (0.0214) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.497s, 80.18/s LR: 7.229e-05 P_Replacement: 0.4868242962962962 + +2023-08-09 17:02:38,789 - train: [ INFO] - Train: 236 [ 50/65 ( 78%)] Loss: 0.024755 (0.0221) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.96/s LR: 7.229e-05 P_Replacement: 0.4916001711424669 + +2023-08-09 17:02:48,863 - train: [ INFO] - Train: 236 [ 64/65 (100%)] Loss: 0.021286 (0.0221) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.35/s LR: 7.229e-05 P_Replacement: 0.4929429908479913 + +2023-08-09 17:02:49,946 - train: [ INFO] - Test: [ 0/7] Time: 0.983 (0.983) Loss: 0.5620 (0.5620) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:02:51,663 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.338) Loss: 0.2131 (0.5485) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (89.0805)Acc@5: 100.0000 (96.2069) + +2023-08-09 17:02:51,936 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-236.pth.tar', 89.08046511946053) + +2023-08-09 17:02:53,543 - train: [ INFO] - Train: 237 [ 0/65 ( 0%)] Loss: 0.021074 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.587s, 75.61/s LR: 7.043e-05 P_Replacement: 0.49303900000000006 + +2023-08-09 17:03:29,242 - train: [ INFO] - Train: 237 [ 50/65 ( 78%)] Loss: 0.027350 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.15/s LR: 7.043e-05 P_Replacement: 0.4978553679428177 + +2023-08-09 17:03:39,249 - train: [ INFO] - Train: 237 [ 64/65 (100%)] Loss: 0.019436 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.94/s LR: 7.043e-05 P_Replacement: 0.4992095492788483 + +2023-08-09 17:03:40,294 - train: [ INFO] - Test: [ 0/7] Time: 0.916 (0.916) Loss: 0.5020 (0.5020) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:03:41,979 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.325) Loss: 0.4839 (0.5370) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (87.8161)Acc@5: 96.6667 (96.7816) + +2023-08-09 17:03:43,734 - train: [ INFO] - Train: 238 [ 0/65 ( 0%)] Loss: 0.023999 (0.0240) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.479s, 81.14/s LR: 6.859e-05 P_Replacement: 0.4993063703703704 + +2023-08-09 17:04:19,349 - train: [ INFO] - Train: 238 [ 50/65 ( 78%)] Loss: 0.020576 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.99/s LR: 6.859e-05 P_Replacement: 0.5041634023500059 + +2023-08-09 17:04:29,244 - train: [ INFO] - Train: 238 [ 64/65 (100%)] Loss: 0.020763 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 166.01/s LR: 6.859e-05 P_Replacement: 0.5055289931797906 + +2023-08-09 17:04:30,274 - train: [ INFO] - Test: [ 0/7] Time: 0.916 (0.916) Loss: 0.6202 (0.6202) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:04:31,864 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.313) Loss: 0.3214 (0.5272) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.0460)Acc@5: 100.0000 (96.0920) + +2023-08-09 17:04:33,633 - train: [ INFO] - Train: 239 [ 0/65 ( 0%)] Loss: 0.020545 (0.0205) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.518s, 79.04/s LR: 6.678e-05 P_Replacement: 0.5056266296296296 + +2023-08-09 17:05:09,383 - train: [ INFO] - Train: 239 [ 50/65 ( 78%)] Loss: 0.020728 (0.0225) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.23/s LR: 6.678e-05 P_Replacement: 0.5105244965862539 + +2023-08-09 17:05:19,455 - train: [ INFO] - Train: 239 [ 64/65 (100%)] Loss: 0.021596 (0.0225) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.78/s LR: 6.678e-05 P_Replacement: 0.5119015447730406 + +2023-08-09 17:05:20,620 - train: [ INFO] - Test: [ 0/7] Time: 0.964 (0.964) Loss: 0.6928 (0.6928) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:05:22,262 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.326) Loss: 1.2963 (0.5327) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (87.8161)Acc@5: 93.3333 (96.5517) + +2023-08-09 17:05:24,186 - train: [ INFO] - Train: 240 [ 0/65 ( 0%)] Loss: 0.027144 (0.0271) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.632s, 73.54/s LR: 6.500e-05 P_Replacement: 0.5120000000000001 + +2023-08-09 17:05:59,846 - train: [ INFO] - Train: 240 [ 50/65 ( 78%)] Loss: 0.020043 (0.0217) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.12/s LR: 6.500e-05 P_Replacement: 0.5169388728737841 + +2023-08-09 17:06:09,801 - train: [ INFO] - Train: 240 [ 64/65 (100%)] Loss: 0.020831 (0.0217) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.10/s LR: 6.500e-05 P_Replacement: 0.5183274262808207 + +2023-08-09 17:06:10,855 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 0.6320 (0.6320) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:06:12,514 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.321) Loss: 0.2938 (0.5647) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.2414)Acc@5: 96.6667 (96.2069) + +2023-08-09 17:06:14,439 - train: [ INFO] - Train: 241 [ 0/65 ( 0%)] Loss: 0.019786 (0.0198) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.654s, 72.55/s LR: 6.324e-05 P_Replacement: 0.5184267037037037 + +2023-08-09 17:06:50,098 - train: [ INFO] - Train: 241 [ 50/65 ( 78%)] Loss: 0.024440 (0.0215) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 164.03/s LR: 6.324e-05 P_Replacement: 0.5234067534348186 + +2023-08-09 17:07:00,120 - train: [ INFO] - Train: 241 [ 64/65 (100%)] Loss: 0.025498 (0.0216) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.80/s LR: 6.324e-05 P_Replacement: 0.5248068599253528 + +2023-08-09 17:07:01,255 - train: [ INFO] - Test: [ 0/7] Time: 0.946 (0.946) Loss: 0.4293 (0.4293) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:07:02,916 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.326) Loss: 0.7301 (0.5383) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (87.8161)Acc@5: 93.3333 (96.7816) + +2023-08-09 17:07:04,753 - train: [ INFO] - Train: 242 [ 0/65 ( 0%)] Loss: 0.022426 (0.0224) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.555s, 77.17/s LR: 6.150e-05 P_Replacement: 0.5249069629629629 + +2023-08-09 17:07:40,568 - train: [ INFO] - Train: 242 [ 50/65 ( 78%)] Loss: 0.024510 (0.0221) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 163.78/s LR: 6.150e-05 P_Replacement: 0.5299283604915793 + +2023-08-09 17:07:50,575 - train: [ INFO] - Train: 242 [ 64/65 (100%)] Loss: 0.019984 (0.0218) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.65/s LR: 6.150e-05 P_Replacement: 0.5313400679288591 + +2023-08-09 17:07:51,665 - train: [ INFO] - Test: [ 0/7] Time: 0.968 (0.968) Loss: 0.5417 (0.5417) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:07:53,376 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.335) Loss: 0.3700 (0.5384) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.5058)Acc@5: 96.6667 (96.8966) + +2023-08-09 17:07:55,315 - train: [ INFO] - Train: 243 [ 0/65 ( 0%)] Loss: 0.019298 (0.0193) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.648s, 72.83/s LR: 5.980e-05 P_Replacement: 0.531441 + +2023-08-09 17:08:31,183 - train: [ INFO] - Train: 243 [ 50/65 ( 78%)] Loss: 0.019463 (0.0209) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.736s, 163.15/s LR: 5.980e-05 P_Replacement: 0.5365039162662891 + +2023-08-09 17:08:41,147 - train: [ INFO] - Train: 243 [ 64/65 (100%)] Loss: 0.019147 (0.0209) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.30/s LR: 5.980e-05 P_Replacement: 0.5379272725135623 + +2023-08-09 17:08:42,218 - train: [ INFO] - Test: [ 0/7] Time: 0.941 (0.941) Loss: 0.5496 (0.5496) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:08:43,931 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.332) Loss: 0.3046 (0.5454) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (88.2759)Acc@5: 96.6667 (96.4368) + +2023-08-09 17:08:45,757 - train: [ INFO] - Train: 244 [ 0/65 ( 0%)] Loss: 0.019135 (0.0191) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.556s, 77.13/s LR: 5.811e-05 P_Replacement: 0.5380290370370371 + +2023-08-09 17:09:21,460 - train: [ INFO] - Train: 244 [ 50/65 ( 78%)] Loss: 0.021060 (0.0213) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.27/s LR: 5.811e-05 P_Replacement: 0.5431336429811696 + +2023-08-09 17:09:31,497 - train: [ INFO] - Train: 244 [ 64/65 (100%)] Loss: 0.019464 (0.0214) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.93/s LR: 5.811e-05 P_Replacement: 0.5445686959016841 + +2023-08-09 17:09:32,591 - train: [ INFO] - Test: [ 0/7] Time: 0.961 (0.961) Loss: 0.6185 (0.6185) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:09:34,278 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.331) Loss: 0.6742 (0.5380) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.6207)Acc@5: 93.3333 (96.4368) + +2023-08-09 17:09:36,099 - train: [ INFO] - Train: 245 [ 0/65 ( 0%)] Loss: 0.019140 (0.0191) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.547s, 77.59/s LR: 5.646e-05 P_Replacement: 0.5446712962962963 + +2023-08-09 17:10:11,845 - train: [ INFO] - Train: 245 [ 50/65 ( 78%)] Loss: 0.022907 (0.0209) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.12/s LR: 5.646e-05 P_Replacement: 0.5498177628584433 + +2023-08-09 17:10:21,847 - train: [ INFO] - Train: 245 [ 64/65 (100%)] Loss: 0.019748 (0.0210) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.93/s LR: 5.646e-05 P_Replacement: 0.5512645603154469 + +2023-08-09 17:10:22,860 - train: [ INFO] - Test: [ 0/7] Time: 0.893 (0.893) Loss: 0.5751 (0.5751) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:10:24,455 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.311) Loss: 0.4278 (0.5495) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.2759)Acc@5: 96.6667 (96.2069) + +2023-08-09 17:10:26,183 - train: [ INFO] - Train: 246 [ 0/65 ( 0%)] Loss: 0.019876 (0.0199) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.20/s LR: 5.483e-05 P_Replacement: 0.5513679999999999 + +2023-08-09 17:11:01,783 - train: [ INFO] - Train: 246 [ 50/65 ( 78%)] Loss: 0.019050 (0.0213) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.99/s LR: 5.483e-05 P_Replacement: 0.5565564981203326 + +2023-08-09 17:11:11,714 - train: [ INFO] - Train: 246 [ 64/65 (100%)] Loss: 0.018982 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.723s, 165.87/s LR: 5.483e-05 P_Replacement: 0.558015087977073 + +2023-08-09 17:11:12,778 - train: [ INFO] - Test: [ 0/7] Time: 0.935 (0.935) Loss: 0.5341 (0.5341) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:11:14,451 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.326) Loss: 0.9043 (0.5371) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (88.3908)Acc@5: 90.0000 (96.5517) + +2023-08-09 17:11:16,376 - train: [ INFO] - Train: 247 [ 0/65 ( 0%)] Loss: 0.020138 (0.0201) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.653s, 72.59/s LR: 5.323e-05 P_Replacement: 0.5581193703703704 + +2023-08-09 17:11:52,023 - train: [ INFO] - Train: 247 [ 50/65 ( 78%)] Loss: 0.020790 (0.0206) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.08/s LR: 5.323e-05 P_Replacement: 0.5633500709890592 + +2023-08-09 17:12:02,046 - train: [ INFO] - Train: 247 [ 64/65 (100%)] Loss: 0.019207 (0.0208) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.83/s LR: 5.323e-05 P_Replacement: 0.5648205011087848 + +2023-08-09 17:12:03,080 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 0.7154 (0.7154) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 92.5000 (92.5000) + +2023-08-09 17:12:04,764 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.325) Loss: 0.5333 (0.5417) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.0460)Acc@5: 100.0000 (96.0920) + +2023-08-09 17:12:06,511 - train: [ INFO] - Train: 248 [ 0/65 ( 0%)] Loss: 0.018938 (0.0189) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.505s, 79.76/s LR: 5.165e-05 P_Replacement: 0.5649256296296297 + +2023-08-09 17:12:42,182 - train: [ INFO] - Train: 248 [ 50/65 ( 78%)] Loss: 0.021002 (0.0205) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.65/s LR: 5.165e-05 P_Replacement: 0.5701987036868457 + +2023-08-09 17:12:52,197 - train: [ INFO] - Train: 248 [ 64/65 (100%)] Loss: 0.019591 (0.0206) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.31/s LR: 5.165e-05 P_Replacement: 0.571681021932804 + +2023-08-09 17:12:53,247 - train: [ INFO] - Test: [ 0/7] Time: 0.928 (0.928) Loss: 0.6363 (0.6363) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:12:54,871 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.319) Loss: 0.2297 (0.5440) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (87.3563)Acc@5: 100.0000 (96.7816) + +2023-08-09 17:12:56,729 - train: [ INFO] - Train: 249 [ 0/65 ( 0%)] Loss: 0.020324 (0.0203) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.617s, 74.20/s LR: 5.010e-05 P_Replacement: 0.5717869999999999 + +2023-08-09 17:13:32,410 - train: [ INFO] - Train: 249 [ 50/65 ( 78%)] Loss: 0.023395 (0.0204) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.09/s LR: 5.010e-05 P_Replacement: 0.5771026184359141 + +2023-08-09 17:13:42,472 - train: [ INFO] - Train: 249 [ 64/65 (100%)] Loss: 0.022959 (0.0204) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.71/s LR: 5.010e-05 P_Replacement: 0.5785968726713531 + +2023-08-09 17:13:43,477 - train: [ INFO] - Test: [ 0/7] Time: 0.902 (0.902) Loss: 0.6193 (0.6193) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:13:45,119 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.318) Loss: 0.3079 (0.5477) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (88.3908)Acc@5: 100.0000 (96.6667) + +2023-08-09 17:13:46,926 - train: [ INFO] - Train: 250 [ 0/65 ( 0%)] Loss: 0.019209 (0.0192) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.532s, 78.31/s LR: 4.858e-05 P_Replacement: 0.5787037037037038 + +2023-08-09 17:14:22,740 - train: [ INFO] - Train: 250 [ 50/65 ( 78%)] Loss: 0.019502 (0.0214) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.88/s LR: 4.858e-05 P_Replacement: 0.5840620374584872 + +2023-08-09 17:14:32,792 - train: [ INFO] - Train: 250 [ 64/65 (100%)] Loss: 0.020813 (0.0214) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.57/s LR: 4.858e-05 P_Replacement: 0.5855682755466546 + +2023-08-09 17:14:33,815 - train: [ INFO] - Test: [ 0/7] Time: 0.917 (0.917) Loss: 0.4279 (0.4279) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:14:35,464 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.321) Loss: 0.3254 (0.5587) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.0460)Acc@5: 96.6667 (95.9770) + +2023-08-09 17:14:37,291 - train: [ INFO] - Train: 251 [ 0/65 ( 0%)] Loss: 0.019434 (0.0194) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.537s, 78.09/s LR: 4.709e-05 P_Replacement: 0.585675962962963 + +2023-08-09 17:15:12,967 - train: [ INFO] - Train: 251 [ 50/65 ( 78%)] Loss: 0.020020 (0.0204) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.47/s LR: 4.709e-05 P_Replacement: 0.5910771829767865 + +2023-08-09 17:15:22,899 - train: [ INFO] - Train: 251 [ 64/65 (100%)] Loss: 0.019232 (0.0205) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.725s, 165.46/s LR: 4.709e-05 P_Replacement: 0.5925954527809302 + +2023-08-09 17:15:23,987 - train: [ INFO] - Test: [ 0/7] Time: 0.960 (0.960) Loss: 0.5429 (0.5429) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:15:25,673 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.331) Loss: 0.6465 (0.5287) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.9655)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:15:27,547 - train: [ INFO] - Train: 252 [ 0/65 ( 0%)] Loss: 0.019267 (0.0193) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.610s, 74.52/s LR: 4.562e-05 P_Replacement: 0.5927039999999999 + +2023-08-09 17:16:03,350 - train: [ INFO] - Train: 252 [ 50/65 ( 78%)] Loss: 0.020321 (0.0202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 163.59/s LR: 4.562e-05 P_Replacement: 0.5981482772130345 + +2023-08-09 17:16:13,401 - train: [ INFO] - Train: 252 [ 64/65 (100%)] Loss: 0.018133 (0.0203) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.35/s LR: 4.562e-05 P_Replacement: 0.5996786265964025 + +2023-08-09 17:16:14,485 - train: [ INFO] - Test: [ 0/7] Time: 0.941 (0.941) Loss: 0.4860 (0.4860) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:16:16,177 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.329) Loss: 0.4680 (0.5235) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (87.5862)Acc@5: 93.3333 (96.0920) + +2023-08-09 17:16:17,961 - train: [ INFO] - Train: 253 [ 0/65 ( 0%)] Loss: 0.019970 (0.0200) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.507s, 79.62/s LR: 4.418e-05 P_Replacement: 0.5997880370370371 + +2023-08-09 17:16:53,718 - train: [ INFO] - Train: 253 [ 50/65 ( 78%)] Loss: 0.019890 (0.0203) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.24/s LR: 4.418e-05 P_Replacement: 0.6052755423894537 + +2023-08-09 17:17:03,781 - train: [ INFO] - Train: 253 [ 64/65 (100%)] Loss: 0.022003 (0.0201) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.82/s LR: 4.418e-05 P_Replacement: 0.6068180192152937 + +2023-08-09 17:17:04,890 - train: [ INFO] - Test: [ 0/7] Time: 0.959 (0.959) Loss: 0.6717 (0.6717) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:17:06,529 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.325) Loss: 0.2772 (0.5282) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.6207)Acc@5: 100.0000 (96.7816) + +2023-08-09 17:17:08,434 - train: [ INFO] - Train: 254 [ 0/65 ( 0%)] Loss: 0.022508 (0.0225) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.621s, 74.04/s LR: 4.277e-05 P_Replacement: 0.6069282962962963 + +2023-08-09 17:17:44,146 - train: [ INFO] - Train: 254 [ 50/65 ( 78%)] Loss: 0.018586 (0.0201) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.94/s LR: 4.277e-05 P_Replacement: 0.6124592007282659 + +2023-08-09 17:17:54,144 - train: [ INFO] - Train: 254 [ 64/65 (100%)] Loss: 0.022634 (0.0202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.81/s LR: 4.277e-05 P_Replacement: 0.6140138528598257 + +2023-08-09 17:17:55,163 - train: [ INFO] - Test: [ 0/7] Time: 0.913 (0.913) Loss: 0.5421 (0.5421) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:17:56,834 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.323) Loss: 0.5787 (0.5322) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.8506)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:17:58,634 - train: [ INFO] - Train: 255 [ 0/65 ( 0%)] Loss: 0.019339 (0.0193) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.518s, 79.07/s LR: 4.139e-05 P_Replacement: 0.6141249999999999 + +2023-08-09 17:18:34,235 - train: [ INFO] - Train: 255 [ 50/65 ( 78%)] Loss: 0.020227 (0.0199) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.89/s LR: 4.139e-05 P_Replacement: 0.6196994744516933 + +2023-08-09 17:18:44,195 - train: [ INFO] - Train: 255 [ 64/65 (100%)] Loss: 0.019536 (0.0202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.69/s LR: 4.139e-05 P_Replacement: 0.621266349752221 + +2023-08-09 17:18:45,207 - train: [ INFO] - Test: [ 0/7] Time: 0.889 (0.889) Loss: 0.5040 (0.5040) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:18:46,844 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.316) Loss: 0.8042 (0.5406) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (88.2759)Acc@5: 96.6667 (96.8966) + +2023-08-09 17:18:48,647 - train: [ INFO] - Train: 256 [ 0/65 ( 0%)] Loss: 0.018775 (0.0188) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.528s, 78.53/s LR: 4.003e-05 P_Replacement: 0.6213783703703705 + +2023-08-09 17:19:24,268 - train: [ INFO] - Train: 256 [ 50/65 ( 78%)] Loss: 0.019968 (0.0195) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.75/s LR: 4.003e-05 P_Replacement: 0.6269965857819587 + +2023-08-09 17:19:34,180 - train: [ INFO] - Train: 256 [ 64/65 (100%)] Loss: 0.019087 (0.0195) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.724s, 165.75/s LR: 4.003e-05 P_Replacement: 0.628575732114702 + +2023-08-09 17:19:35,224 - train: [ INFO] - Test: [ 0/7] Time: 0.915 (0.915) Loss: 0.6578 (0.6578) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:19:36,820 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.314) Loss: 0.7936 (0.5441) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (88.3908)Acc@5: 90.0000 (96.6667) + +2023-08-09 17:19:38,591 - train: [ INFO] - Train: 257 [ 0/65 ( 0%)] Loss: 0.020887 (0.0209) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.535s, 78.18/s LR: 3.871e-05 P_Replacement: 0.6286886296296297 + +2023-08-09 17:20:14,229 - train: [ INFO] - Train: 257 [ 50/65 ( 78%)] Loss: 0.018648 (0.0202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.64/s LR: 3.871e-05 P_Replacement: 0.6343507569412836 + +2023-08-09 17:20:24,280 - train: [ INFO] - Train: 257 [ 64/65 (100%)] Loss: 0.018548 (0.0202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.18/s LR: 3.871e-05 P_Replacement: 0.6359422221694904 + +2023-08-09 17:20:25,355 - train: [ INFO] - Test: [ 0/7] Time: 0.929 (0.929) Loss: 0.6584 (0.6584) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:20:26,964 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.317) Loss: 0.3828 (0.5381) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.3908)Acc@5: 96.6667 (95.9770) + +2023-08-09 17:20:28,785 - train: [ INFO] - Train: 258 [ 0/65 ( 0%)] Loss: 0.018790 (0.0188) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.548s, 77.50/s LR: 3.741e-05 P_Replacement: 0.636056 + +2023-08-09 17:21:04,461 - train: [ INFO] - Train: 258 [ 50/65 ( 78%)] Loss: 0.017618 (0.0196) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.42/s LR: 3.741e-05 P_Replacement: 0.6417622101518906 + +2023-08-09 17:21:14,456 - train: [ INFO] - Train: 258 [ 64/65 (100%)] Loss: 0.023289 (0.0196) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.20/s LR: 3.741e-05 P_Replacement: 0.6433660421388088 + +2023-08-09 17:21:15,575 - train: [ INFO] - Test: [ 0/7] Time: 0.941 (0.941) Loss: 0.6836 (0.6836) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:21:17,208 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.322) Loss: 0.6233 (0.5272) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (88.3908)Acc@5: 93.3333 (96.8966) + +2023-08-09 17:21:18,985 - train: [ INFO] - Train: 259 [ 0/65 ( 0%)] Loss: 0.019871 (0.0199) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.20/s LR: 3.614e-05 P_Replacement: 0.6434807037037036 + +2023-08-09 17:21:54,679 - train: [ INFO] - Train: 259 [ 50/65 ( 78%)] Loss: 0.018017 (0.0196) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.57/s LR: 3.614e-05 P_Replacement: 0.6492311676360021 + +2023-08-09 17:22:04,753 - train: [ INFO] - Train: 259 [ 64/65 (100%)] Loss: 0.018744 (0.0196) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.04/s LR: 3.614e-05 P_Replacement: 0.6508474142448792 + +2023-08-09 17:22:05,791 - train: [ INFO] - Test: [ 0/7] Time: 0.951 (0.951) Loss: 0.5893 (0.5893) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:22:07,473 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.329) Loss: 0.3829 (0.5384) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.0460)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:22:09,277 - train: [ INFO] - Train: 260 [ 0/65 ( 0%)] Loss: 0.019177 (0.0192) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.563s, 76.79/s LR: 3.490e-05 P_Replacement: 0.6509629629629631 + +2023-08-09 17:22:45,247 - train: [ INFO] - Train: 260 [ 50/65 ( 78%)] Loss: 0.018890 (0.0194) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.736s, 163.07/s LR: 3.490e-05 P_Replacement: 0.6567578516158399 + +2023-08-09 17:22:55,300 - train: [ INFO] - Train: 260 [ 64/65 (100%)] Loss: 0.018725 (0.0194) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.92/s LR: 3.490e-05 P_Replacement: 0.6583865607099244 + +2023-08-09 17:22:56,270 - train: [ INFO] - Test: [ 0/7] Time: 0.882 (0.882) Loss: 0.5299 (0.5299) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:22:57,957 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.321) Loss: 0.4937 (0.5310) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (88.5058)Acc@5: 100.0000 (96.8966) + +2023-08-09 17:22:59,762 - train: [ INFO] - Train: 261 [ 0/65 ( 0%)] Loss: 0.022262 (0.0223) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.539s, 77.98/s LR: 3.368e-05 P_Replacement: 0.658503 + +2023-08-09 17:23:35,619 - train: [ INFO] - Train: 261 [ 50/65 ( 78%)] Loss: 0.018469 (0.0198) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 163.66/s LR: 3.368e-05 P_Replacement: 0.6643424843136263 + +2023-08-09 17:23:45,574 - train: [ INFO] - Train: 261 [ 64/65 (100%)] Loss: 0.018659 (0.0197) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.74/s LR: 3.368e-05 P_Replacement: 0.6659837037561658 + +2023-08-09 17:23:46,646 - train: [ INFO] - Test: [ 0/7] Time: 0.921 (0.921) Loss: 0.7140 (0.7140) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:23:48,294 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.321) Loss: 0.1093 (0.5343) cLoss: 0.0000 (0.0000) Acc@1: 100.0000 (87.7012)Acc@5: 100.0000 (96.4368) + +2023-08-09 17:23:50,054 - train: [ INFO] - Train: 262 [ 0/65 ( 0%)] Loss: 0.019433 (0.0194) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.509s, 79.51/s LR: 3.250e-05 P_Replacement: 0.6661010370370369 + +2023-08-09 17:24:25,787 - train: [ INFO] - Train: 262 [ 50/65 ( 78%)] Loss: 0.021562 (0.0198) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.36/s LR: 3.250e-05 P_Replacement: 0.6719852879515837 + +2023-08-09 17:24:35,796 - train: [ INFO] - Train: 262 [ 64/65 (100%)] Loss: 0.024128 (0.0198) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.10/s LR: 3.250e-05 P_Replacement: 0.673639065605826 + +2023-08-09 17:24:36,811 - train: [ INFO] - Test: [ 0/7] Time: 0.913 (0.913) Loss: 0.4354 (0.4354) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:24:38,499 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.325) Loss: 0.5515 (0.5466) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (88.6207)Acc@5: 93.3333 (96.4368) + +2023-08-09 17:24:40,272 - train: [ INFO] - Train: 263 [ 0/65 ( 0%)] Loss: 0.018168 (0.0182) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.542s, 77.81/s LR: 3.135e-05 P_Replacement: 0.6737572962962964 + +2023-08-09 17:25:15,934 - train: [ INFO] - Train: 263 [ 50/65 ( 78%)] Loss: 0.019124 (0.0192) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.51/s LR: 3.135e-05 P_Replacement: 0.6796864847519345 + +2023-08-09 17:25:26,011 - train: [ INFO] - Train: 263 [ 64/65 (100%)] Loss: 0.018333 (0.0193) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 164.98/s LR: 3.135e-05 P_Replacement: 0.6813528684811275 + +2023-08-09 17:25:26,999 - train: [ INFO] - Test: [ 0/7] Time: 0.877 (0.877) Loss: 0.4518 (0.4518) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:25:28,613 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.311) Loss: 0.5658 (0.5360) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (88.7356)Acc@5: 93.3333 (96.4368) + +2023-08-09 17:25:30,400 - train: [ INFO] - Train: 264 [ 0/65 ( 0%)] Loss: 0.019021 (0.0190) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.526s, 78.64/s LR: 3.022e-05 P_Replacement: 0.681472 + +2023-08-09 17:26:06,121 - train: [ INFO] - Train: 264 [ 50/65 ( 78%)] Loss: 0.019619 (0.0192) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.32/s LR: 3.022e-05 P_Replacement: 0.6874462969369005 + +2023-08-09 17:26:16,135 - train: [ INFO] - Train: 264 [ 64/65 (100%)] Loss: 0.018910 (0.0191) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.05/s LR: 3.022e-05 P_Replacement: 0.689125334604292 + +2023-08-09 17:26:17,184 - train: [ INFO] - Test: [ 0/7] Time: 0.926 (0.926) Loss: 0.5137 (0.5137) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:26:18,850 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.324) Loss: 0.8250 (0.5316) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (88.8506)Acc@5: 93.3333 (96.6667) + +2023-08-09 17:26:20,693 - train: [ INFO] - Train: 265 [ 0/65 ( 0%)] Loss: 0.018366 (0.0184) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.566s, 76.63/s LR: 2.913e-05 P_Replacement: 0.6892453703703703 + +2023-08-09 17:26:56,351 - train: [ INFO] - Train: 265 [ 50/65 ( 78%)] Loss: 0.017846 (0.0191) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.44/s LR: 2.913e-05 P_Replacement: 0.695264946728704 + +2023-08-09 17:27:06,399 - train: [ INFO] - Train: 265 [ 64/65 (100%)] Loss: 0.018613 (0.0190) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.03/s LR: 2.913e-05 P_Replacement: 0.696956686197542 + +2023-08-09 17:27:07,394 - train: [ INFO] - Test: [ 0/7] Time: 0.900 (0.900) Loss: 0.5002 (0.5002) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:27:09,058 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.321) Loss: 0.5074 (0.5468) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.8161)Acc@5: 96.6667 (96.4368) + +2023-08-09 17:27:10,877 - train: [ INFO] - Train: 266 [ 0/65 ( 0%)] Loss: 0.021820 (0.0218) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.547s, 77.56/s LR: 2.806e-05 P_Replacement: 0.6970776296296297 + +2023-08-09 17:27:46,664 - train: [ INFO] - Train: 266 [ 50/65 ( 78%)] Loss: 0.021683 (0.0190) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.93/s LR: 2.806e-05 P_Replacement: 0.7031426563495676 + +2023-08-09 17:27:56,675 - train: [ INFO] - Train: 266 [ 64/65 (100%)] Loss: 0.018347 (0.0189) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.76/s LR: 2.806e-05 P_Replacement: 0.7048471454830999 + +2023-08-09 17:27:57,719 - train: [ INFO] - Test: [ 0/7] Time: 0.928 (0.928) Loss: 0.7141 (0.7141) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:27:59,407 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.327) Loss: 0.4733 (0.5418) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.0460)Acc@5: 100.0000 (96.8966) + +2023-08-09 17:28:01,221 - train: [ INFO] - Train: 267 [ 0/65 ( 0%)] Loss: 0.017732 (0.0177) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.540s, 77.91/s LR: 2.702e-05 P_Replacement: 0.7049690000000001 + +2023-08-09 17:28:37,039 - train: [ INFO] - Train: 267 [ 50/65 ( 78%)] Loss: 0.017557 (0.0193) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.83/s LR: 2.702e-05 P_Replacement: 0.7110796480217131 + +2023-08-09 17:28:47,082 - train: [ INFO] - Train: 267 [ 64/65 (100%)] Loss: 0.018682 (0.0193) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.56/s LR: 2.702e-05 P_Replacement: 0.7127969346831875 + +2023-08-09 17:28:48,135 - train: [ INFO] - Test: [ 0/7] Time: 0.925 (0.925) Loss: 0.4995 (0.4995) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:28:49,775 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.321) Loss: 0.4238 (0.5293) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.7356)Acc@5: 96.6667 (96.2069) + +2023-08-09 17:28:51,594 - train: [ INFO] - Train: 268 [ 0/65 ( 0%)] Loss: 0.018459 (0.0185) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.546s, 77.63/s LR: 2.602e-05 P_Replacement: 0.7129197037037036 + +2023-08-09 17:29:27,407 - train: [ INFO] - Train: 268 [ 50/65 ( 78%)] Loss: 0.018357 (0.0189) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.83/s LR: 2.602e-05 P_Replacement: 0.7190761439673629 + +2023-08-09 17:29:37,401 - train: [ INFO] - Train: 268 [ 64/65 (100%)] Loss: 0.017715 (0.0189) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.73/s LR: 2.602e-05 P_Replacement: 0.7208062760200272 + +2023-08-09 17:29:38,486 - train: [ INFO] - Test: [ 0/7] Time: 0.964 (0.964) Loss: 0.5225 (0.5225) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:29:40,089 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.321) Loss: 0.9264 (0.5566) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (88.6207)Acc@5: 90.0000 (96.3218) + +2023-08-09 17:29:41,916 - train: [ INFO] - Train: 269 [ 0/65 ( 0%)] Loss: 0.017670 (0.0177) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.572s, 76.34/s LR: 2.504e-05 P_Replacement: 0.7209299629629629 + +2023-08-09 17:30:17,632 - train: [ INFO] - Train: 269 [ 50/65 ( 78%)] Loss: 0.018431 (0.0186) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.14/s LR: 2.504e-05 P_Replacement: 0.7271323664087394 + +2023-08-09 17:30:27,639 - train: [ INFO] - Train: 269 [ 64/65 (100%)] Loss: 0.019028 (0.0187) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.93/s LR: 2.504e-05 P_Replacement: 0.7288753917158416 + +2023-08-09 17:30:28,736 - train: [ INFO] - Test: [ 0/7] Time: 0.947 (0.947) Loss: 0.4061 (0.4061) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 100.0000 (100.0000) + +2023-08-09 17:30:30,404 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.327) Loss: 0.4414 (0.5328) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.1609)Acc@5: 96.6667 (97.1264) + +2023-08-09 17:30:32,210 - train: [ INFO] - Train: 270 [ 0/65 ( 0%)] Loss: 0.018096 (0.0181) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.526s, 78.65/s LR: 2.409e-05 P_Replacement: 0.7290000000000001 + +2023-08-09 17:31:07,849 - train: [ INFO] - Train: 270 [ 50/65 ( 78%)] Loss: 0.018119 (0.0185) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.68/s LR: 2.409e-05 P_Replacement: 0.7352485375680642 + +2023-08-09 17:31:17,849 - train: [ INFO] - Train: 270 [ 64/65 (100%)] Loss: 0.018464 (0.0186) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.39/s LR: 2.409e-05 P_Replacement: 0.7370045039928522 + +2023-08-09 17:31:18,888 - train: [ INFO] - Test: [ 0/7] Time: 0.918 (0.918) Loss: 0.6695 (0.6695) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:31:20,517 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.318) Loss: 0.3863 (0.5310) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (88.6207)Acc@5: 100.0000 (97.1264) + +2023-08-09 17:31:22,274 - train: [ INFO] - Train: 271 [ 0/65 ( 0%)] Loss: 0.017510 (0.0175) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.518s, 79.04/s LR: 2.318e-05 P_Replacement: 0.7371300370370371 + +2023-08-09 17:31:58,070 - train: [ INFO] - Train: 271 [ 50/65 ( 78%)] Loss: 0.017325 (0.0184) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 164.02/s LR: 2.318e-05 P_Replacement: 0.7434248796675601 + +2023-08-09 17:32:08,047 - train: [ INFO] - Train: 271 [ 64/65 (100%)] Loss: 0.017672 (0.0184) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.95/s LR: 2.318e-05 P_Replacement: 0.7451938350732817 + +2023-08-09 17:32:09,065 - train: [ INFO] - Test: [ 0/7] Time: 0.897 (0.897) Loss: 0.4119 (0.4119) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:32:10,691 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.315) Loss: 0.2378 (0.5366) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.3908)Acc@5: 100.0000 (96.6667) + +2023-08-09 17:32:12,461 - train: [ INFO] - Train: 272 [ 0/65 ( 0%)] Loss: 0.016946 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.492s, 80.43/s LR: 2.229e-05 P_Replacement: 0.7453202962962961 + +2023-08-09 17:32:48,154 - train: [ INFO] - Train: 272 [ 50/65 ( 78%)] Loss: 0.021687 (0.0188) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.59/s LR: 2.229e-05 P_Replacement: 0.7516616149294492 + +2023-08-09 17:32:58,141 - train: [ INFO] - Train: 272 [ 64/65 (100%)] Loss: 0.017235 (0.0187) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.36/s LR: 2.229e-05 P_Replacement: 0.7534436071793522 + +2023-08-09 17:32:59,187 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 0.6770 (0.6770) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:33:00,809 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.318) Loss: 0.6118 (0.5357) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (88.3908)Acc@5: 93.3333 (96.5517) + +2023-08-09 17:33:02,612 - train: [ INFO] - Train: 273 [ 0/65 ( 0%)] Loss: 0.018045 (0.0180) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.522s, 78.83/s LR: 2.143e-05 P_Replacement: 0.7535710000000001 + +2023-08-09 17:33:38,385 - train: [ INFO] - Train: 273 [ 50/65 ( 78%)] Loss: 0.021399 (0.0186) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.10/s LR: 2.143e-05 P_Replacement: 0.7599589655759538 + +2023-08-09 17:33:48,491 - train: [ INFO] - Train: 273 [ 64/65 (100%)] Loss: 0.017001 (0.0187) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.56/s LR: 2.143e-05 P_Replacement: 0.7617540425332862 + +2023-08-09 17:33:49,568 - train: [ INFO] - Test: [ 0/7] Time: 0.982 (0.982) Loss: 0.5297 (0.5297) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:33:51,219 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.329) Loss: 0.2725 (0.5376) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.5058)Acc@5: 100.0000 (96.0920) + +2023-08-09 17:33:53,048 - train: [ INFO] - Train: 274 [ 0/65 ( 0%)] Loss: 0.017981 (0.0180) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.557s, 77.09/s LR: 2.061e-05 P_Replacement: 0.7618823703703703 + +2023-08-09 17:34:28,790 - train: [ INFO] - Train: 274 [ 50/65 ( 78%)] Loss: 0.017251 (0.0184) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.09/s LR: 2.061e-05 P_Replacement: 0.7683171538292958 + +2023-08-09 17:34:38,737 - train: [ INFO] - Train: 274 [ 64/65 (100%)] Loss: 0.017983 (0.0183) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.11/s LR: 2.061e-05 P_Replacement: 0.7701253633573054 + +2023-08-09 17:34:39,787 - train: [ INFO] - Test: [ 0/7] Time: 0.929 (0.929) Loss: 0.4985 (0.4985) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:34:41,469 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.326) Loss: 0.4635 (0.5173) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.2759)Acc@5: 96.6667 (96.8966) + +2023-08-09 17:34:43,309 - train: [ INFO] - Train: 275 [ 0/65 ( 0%)] Loss: 0.018295 (0.0183) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.605s, 74.78/s LR: 1.981e-05 P_Replacement: 0.7702546296296295 + +2023-08-09 17:35:19,158 - train: [ INFO] - Train: 275 [ 50/65 ( 78%)] Loss: 0.017470 (0.0186) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 163.43/s LR: 1.981e-05 P_Replacement: 0.7767364019116977 + +2023-08-09 17:35:29,191 - train: [ INFO] - Train: 275 [ 64/65 (100%)] Loss: 0.018023 (0.0185) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.28/s LR: 1.981e-05 P_Replacement: 0.7785577918736323 + +2023-08-09 17:35:30,207 - train: [ INFO] - Test: [ 0/7] Time: 0.920 (0.920) Loss: 0.4498 (0.4498) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:35:31,876 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.324) Loss: 0.7673 (0.5320) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (89.3104)Acc@5: 100.0000 (96.5517) + +2023-08-09 17:35:32,119 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/checkpoint-275.pth.tar', 89.31035166773303) + +2023-08-09 17:35:33,706 - train: [ INFO] - Train: 276 [ 0/65 ( 0%)] Loss: 0.018230 (0.0182) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.568s, 76.52/s LR: 1.905e-05 P_Replacement: 0.778688 + +2023-08-09 17:36:09,510 - train: [ INFO] - Train: 276 [ 50/65 ( 78%)] Loss: 0.018431 (0.0187) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 163.77/s LR: 1.905e-05 P_Replacement: 0.7852169320453818 + +2023-08-09 17:36:19,528 - train: [ INFO] - Train: 276 [ 64/65 (100%)] Loss: 0.018078 (0.0185) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.60/s LR: 1.905e-05 P_Replacement: 0.7870515503044894 + +2023-08-09 17:36:20,544 - train: [ INFO] - Test: [ 0/7] Time: 0.924 (0.924) Loss: 0.6445 (0.6445) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:36:22,144 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.316) Loss: 0.7161 (0.5310) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (87.9310)Acc@5: 96.6667 (96.2069) + +2023-08-09 17:36:23,911 - train: [ INFO] - Train: 277 [ 0/65 ( 0%)] Loss: 0.018109 (0.0181) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.511s, 79.41/s LR: 1.831e-05 P_Replacement: 0.7871827037037037 + +2023-08-09 17:36:59,654 - train: [ INFO] - Train: 277 [ 50/65 ( 78%)] Loss: 0.016813 (0.0180) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.29/s LR: 1.831e-05 P_Replacement: 0.79375896645257 + +2023-08-09 17:37:09,659 - train: [ INFO] - Train: 277 [ 64/65 (100%)] Loss: 0.017473 (0.0180) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.06/s LR: 1.831e-05 P_Replacement: 0.7956068608720983 + +2023-08-09 17:37:10,700 - train: [ INFO] - Test: [ 0/7] Time: 0.929 (0.929) Loss: 0.5907 (0.5907) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:37:12,378 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.326) Loss: 1.0713 (0.5200) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (88.6207)Acc@5: 90.0000 (97.0115) + +2023-08-09 17:37:14,134 - train: [ INFO] - Train: 278 [ 0/65 ( 0%)] Loss: 0.017048 (0.0170) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.524s, 78.75/s LR: 1.761e-05 P_Replacement: 0.7957389629629629 + +2023-08-09 17:37:49,844 - train: [ INFO] - Train: 278 [ 50/65 ( 78%)] Loss: 0.017466 (0.0187) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.38/s LR: 1.761e-05 P_Replacement: 0.8023627273554846 + +2023-08-09 17:37:59,914 - train: [ INFO] - Train: 278 [ 64/65 (100%)] Loss: 0.017606 (0.0185) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.90/s LR: 1.761e-05 P_Replacement: 0.8042239457986816 + +2023-08-09 17:38:00,941 - train: [ INFO] - Test: [ 0/7] Time: 0.904 (0.904) Loss: 0.5833 (0.5833) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:38:02,561 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.316) Loss: 0.2592 (0.5193) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.7356)Acc@5: 100.0000 (96.5517) + +2023-08-09 17:38:04,377 - train: [ INFO] - Train: 279 [ 0/65 ( 0%)] Loss: 0.020078 (0.0201) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.544s, 77.71/s LR: 1.694e-05 P_Replacement: 0.8043570000000001 + +2023-08-09 17:38:40,183 - train: [ INFO] - Train: 279 [ 50/65 ( 78%)] Loss: 0.017627 (0.0183) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.87/s LR: 1.694e-05 P_Replacement: 0.8110284369763483 + +2023-08-09 17:38:50,126 - train: [ INFO] - Train: 279 [ 64/65 (100%)] Loss: 0.016892 (0.0183) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.94/s LR: 1.694e-05 P_Replacement: 0.8129030273064618 + +2023-08-09 17:38:51,153 - train: [ INFO] - Test: [ 0/7] Time: 0.923 (0.923) Loss: 0.5426 (0.5426) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:38:52,797 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.321) Loss: 0.4308 (0.5209) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.9655)Acc@5: 100.0000 (96.2069) + +2023-08-09 17:38:54,597 - train: [ INFO] - Train: 280 [ 0/65 ( 0%)] Loss: 0.017436 (0.0174) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.558s, 77.01/s LR: 1.629e-05 P_Replacement: 0.8130370370370371 + +2023-08-09 17:39:30,350 - train: [ INFO] - Train: 280 [ 50/65 ( 78%)] Loss: 0.017102 (0.0180) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 164.04/s LR: 1.629e-05 P_Replacement: 0.8197563175373827 + +2023-08-09 17:39:40,416 - train: [ INFO] - Train: 280 [ 64/65 (100%)] Loss: 0.017383 (0.0182) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.65/s LR: 1.629e-05 P_Replacement: 0.8216443276176605 + +2023-08-09 17:39:41,489 - train: [ INFO] - Test: [ 0/7] Time: 0.947 (0.947) Loss: 0.4899 (0.4899) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:39:43,174 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.329) Loss: 0.7655 (0.5239) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (88.6207)Acc@5: 90.0000 (96.0920) + +2023-08-09 17:39:45,137 - train: [ INFO] - Train: 281 [ 0/65 ( 0%)] Loss: 0.016726 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.673s, 71.74/s LR: 1.568e-05 P_Replacement: 0.8217792962962962 + +2023-08-09 17:40:20,882 - train: [ INFO] - Train: 281 [ 50/65 ( 78%)] Loss: 0.017041 (0.0178) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 163.57/s LR: 1.568e-05 P_Replacement: 0.8285465912608101 + +2023-08-09 17:40:30,953 - train: [ INFO] - Train: 281 [ 64/65 (100%)] Loss: 0.017063 (0.0179) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.27/s LR: 1.568e-05 P_Replacement: 0.8304480689545002 + +2023-08-09 17:40:32,046 - train: [ INFO] - Test: [ 0/7] Time: 0.955 (0.955) Loss: 0.4767 (0.4767) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:40:33,635 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.318) Loss: 0.4837 (0.5352) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (89.1954)Acc@5: 96.6667 (96.4368) + +2023-08-09 17:40:35,442 - train: [ INFO] - Train: 282 [ 0/65 ( 0%)] Loss: 0.016484 (0.0165) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.566s, 76.61/s LR: 1.510e-05 P_Replacement: 0.8305839999999999 + +2023-08-09 17:41:11,134 - train: [ INFO] - Train: 282 [ 50/65 ( 78%)] Loss: 0.016288 (0.0176) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.27/s LR: 1.510e-05 P_Replacement: 0.8373994803688533 + +2023-08-09 17:41:21,131 - train: [ INFO] - Train: 282 [ 64/65 (100%)] Loss: 0.017233 (0.0176) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.07/s LR: 1.510e-05 P_Replacement: 0.8393144735392034 + +2023-08-09 17:41:22,161 - train: [ INFO] - Test: [ 0/7] Time: 0.909 (0.909) Loss: 0.3436 (0.3436) cLoss: 0.0000 (0.0000) Acc@1: 95.0000 (95.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:41:23,806 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.319) Loss: 0.5836 (0.5234) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (89.0805)Acc@5: 93.3333 (96.0920) + +2023-08-09 17:41:25,633 - train: [ INFO] - Train: 283 [ 0/65 ( 0%)] Loss: 0.016780 (0.0168) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.540s, 77.92/s LR: 1.455e-05 P_Replacement: 0.8394513703703704 + +2023-08-09 17:42:01,511 - train: [ INFO] - Train: 283 [ 50/65 ( 78%)] Loss: 0.016461 (0.0175) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 163.57/s LR: 1.455e-05 P_Replacement: 0.8463152070837338 + +2023-08-09 17:42:11,577 - train: [ INFO] - Train: 283 [ 64/65 (100%)] Loss: 0.017871 (0.0176) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.27/s LR: 1.455e-05 P_Replacement: 0.8482437635939919 + +2023-08-09 17:42:12,629 - train: [ INFO] - Test: [ 0/7] Time: 0.928 (0.928) Loss: 0.4448 (0.4448) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:42:14,307 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.326) Loss: 0.3179 (0.5297) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (88.2759)Acc@5: 100.0000 (96.3218) + +2023-08-09 17:42:16,075 - train: [ INFO] - Train: 284 [ 0/65 ( 0%)] Loss: 0.017278 (0.0173) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.536s, 78.14/s LR: 1.403e-05 P_Replacement: 0.8483816296296296 + +2023-08-09 17:42:51,846 - train: [ INFO] - Train: 284 [ 50/65 ( 78%)] Loss: 0.017692 (0.0179) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.06/s LR: 1.403e-05 P_Replacement: 0.855293993627674 + +2023-08-09 17:43:01,813 - train: [ INFO] - Train: 284 [ 64/65 (100%)] Loss: 0.017115 (0.0177) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.01/s LR: 1.403e-05 P_Replacement: 0.8572361613410879 + +2023-08-09 17:43:02,816 - train: [ INFO] - Test: [ 0/7] Time: 0.882 (0.882) Loss: 0.5674 (0.5674) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:43:04,473 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.317) Loss: 0.2956 (0.5230) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.8506)Acc@5: 100.0000 (96.3218) + +2023-08-09 17:43:06,402 - train: [ INFO] - Train: 285 [ 0/65 ( 0%)] Loss: 0.017199 (0.0172) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.644s, 73.00/s LR: 1.355e-05 P_Replacement: 0.8573749999999999 + +2023-08-09 17:43:42,277 - train: [ INFO] - Train: 285 [ 50/65 ( 78%)] Loss: 0.017017 (0.0176) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.736s, 163.15/s LR: 1.355e-05 P_Replacement: 0.8643360622228964 + +2023-08-09 17:43:52,303 - train: [ INFO] - Train: 285 [ 64/65 (100%)] Loss: 0.017911 (0.0175) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.08/s LR: 1.355e-05 P_Replacement: 0.866291889002714 + +2023-08-09 17:43:53,352 - train: [ INFO] - Test: [ 0/7] Time: 0.918 (0.918) Loss: 0.5905 (0.5905) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:43:55,077 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.331) Loss: 0.6234 (0.5158) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.7356)Acc@5: 93.3333 (96.3218) + +2023-08-09 17:43:56,866 - train: [ INFO] - Train: 286 [ 0/65 ( 0%)] Loss: 0.017078 (0.0171) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.515s, 79.18/s LR: 1.309e-05 P_Replacement: 0.8664317037037038 + +2023-08-09 17:44:32,690 - train: [ INFO] - Train: 286 [ 50/65 ( 78%)] Loss: 0.017183 (0.0174) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.93/s LR: 1.309e-05 P_Replacement: 0.8734416350916233 + +2023-08-09 17:44:42,701 - train: [ INFO] - Train: 286 [ 64/65 (100%)] Loss: 0.016146 (0.0173) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.76/s LR: 1.309e-05 P_Replacement: 0.8754111688010925 + +2023-08-09 17:44:43,727 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 0.5995 (0.5995) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:44:45,375 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.320) Loss: 0.4009 (0.5282) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (89.3104)Acc@5: 96.6667 (96.5517) + +2023-08-09 17:44:47,123 - train: [ INFO] - Train: 287 [ 0/65 ( 0%)] Loss: 0.016272 (0.0163) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.516s, 79.16/s LR: 1.266e-05 P_Replacement: 0.875551962962963 + +2023-08-09 17:45:22,863 - train: [ INFO] - Train: 287 [ 50/65 ( 78%)] Loss: 0.017682 (0.0171) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.28/s LR: 1.266e-05 P_Replacement: 0.8826109344560764 + +2023-08-09 17:45:32,855 - train: [ INFO] - Train: 287 [ 64/65 (100%)] Loss: 0.016298 (0.0171) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.727s, 165.10/s LR: 1.266e-05 P_Replacement: 0.884594222958445 + +2023-08-09 17:45:33,905 - train: [ INFO] - Test: [ 0/7] Time: 0.915 (0.915) Loss: 0.6459 (0.6459) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:45:35,650 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.333) Loss: 0.3523 (0.5249) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (89.0805)Acc@5: 100.0000 (96.4368) + +2023-08-09 17:45:37,414 - train: [ INFO] - Train: 288 [ 0/65 ( 0%)] Loss: 0.015936 (0.0159) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.527s, 78.57/s LR: 1.227e-05 P_Replacement: 0.8847359999999999 + +2023-08-09 17:46:13,049 - train: [ INFO] - Train: 288 [ 50/65 ( 78%)] Loss: 0.017123 (0.0168) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.69/s LR: 1.227e-05 P_Replacement: 0.8918441825384783 + +2023-08-09 17:46:23,097 - train: [ INFO] - Train: 288 [ 64/65 (100%)] Loss: 0.017461 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.23/s LR: 1.227e-05 P_Replacement: 0.8938412736969941 + +2023-08-09 17:46:24,162 - train: [ INFO] - Test: [ 0/7] Time: 0.898 (0.898) Loss: 0.5090 (0.5090) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:46:25,834 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.321) Loss: 0.2562 (0.5252) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.8506)Acc@5: 96.6667 (96.7816) + +2023-08-09 17:46:27,593 - train: [ INFO] - Train: 289 [ 0/65 ( 0%)] Loss: 0.016433 (0.0164) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.512s, 79.36/s LR: 1.191e-05 P_Replacement: 0.8939840370370371 + +2023-08-09 17:47:03,270 - train: [ INFO] - Train: 289 [ 50/65 ( 78%)] Loss: 0.017069 (0.0170) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.58/s LR: 1.191e-05 P_Replacement: 0.9011416015610514 + +2023-08-09 17:47:13,280 - train: [ INFO] - Train: 289 [ 64/65 (100%)] Loss: 0.016448 (0.0171) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.726s, 165.27/s LR: 1.191e-05 P_Replacement: 0.9031525432389623 + +2023-08-09 17:47:14,299 - train: [ INFO] - Test: [ 0/7] Time: 0.878 (0.878) Loss: 0.6759 (0.6759) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:47:15,878 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.307) Loss: 0.4783 (0.5183) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (88.8506)Acc@5: 100.0000 (96.6667) + +2023-08-09 17:47:17,643 - train: [ INFO] - Train: 290 [ 0/65 ( 0%)] Loss: 0.016686 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.513s, 79.33/s LR: 1.158e-05 P_Replacement: 0.9032962962962963 + +2023-08-09 17:47:53,381 - train: [ INFO] - Train: 290 [ 50/65 ( 78%)] Loss: 0.015861 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.30/s LR: 1.158e-05 P_Replacement: 0.9105034137460173 + +2023-08-09 17:48:03,424 - train: [ INFO] - Train: 290 [ 64/65 (100%)] Loss: 0.016379 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.94/s LR: 1.158e-05 P_Replacement: 0.9125282538065712 + +2023-08-09 17:48:04,460 - train: [ INFO] - Test: [ 0/7] Time: 0.907 (0.907) Loss: 0.6094 (0.6094) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:48:06,147 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.324) Loss: 0.6663 (0.5347) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (88.6207)Acc@5: 93.3333 (95.9770) + +2023-08-09 17:48:07,900 - train: [ INFO] - Train: 291 [ 0/65 ( 0%)] Loss: 0.016708 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.505s, 79.72/s LR: 1.128e-05 P_Replacement: 0.912673 + +2023-08-09 17:48:43,671 - train: [ INFO] - Train: 291 [ 50/65 ( 78%)] Loss: 0.016206 (0.0170) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.19/s LR: 1.128e-05 P_Replacement: 0.9199298413155986 + +2023-08-09 17:48:53,714 - train: [ INFO] - Train: 291 [ 64/65 (100%)] Loss: 0.016378 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.85/s LR: 1.128e-05 P_Replacement: 0.9219686276220435 + +2023-08-09 17:48:54,847 - train: [ INFO] - Test: [ 0/7] Time: 1.001 (1.001) Loss: 0.5740 (0.5740) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:48:56,508 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.333) Loss: 0.8745 (0.5294) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (89.3104)Acc@5: 90.0000 (95.9770) + +2023-08-09 17:48:58,258 - train: [ INFO] - Train: 292 [ 0/65 ( 0%)] Loss: 0.016170 (0.0162) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.514s, 79.29/s LR: 1.101e-05 P_Replacement: 0.9221143703703705 + +2023-08-09 17:49:34,135 - train: [ INFO] - Train: 292 [ 50/65 ( 78%)] Loss: 0.017607 (0.0162) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 163.69/s LR: 1.101e-05 P_Replacement: 0.9294211064920178 + +2023-08-09 17:49:44,115 - train: [ INFO] - Train: 292 [ 64/65 (100%)] Loss: 0.015787 (0.0162) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.67/s LR: 1.101e-05 P_Replacement: 0.9314738869076014 + +2023-08-09 17:49:45,172 - train: [ INFO] - Test: [ 0/7] Time: 0.965 (0.965) Loss: 0.5180 (0.5180) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:49:46,794 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.323) Loss: 0.3633 (0.5388) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (88.8506)Acc@5: 100.0000 (95.8621) + +2023-08-09 17:49:48,609 - train: [ INFO] - Train: 293 [ 0/65 ( 0%)] Loss: 0.016030 (0.0160) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.525s, 78.69/s LR: 1.077e-05 P_Replacement: 0.9316206296296297 + +2023-08-09 17:50:24,526 - train: [ INFO] - Train: 293 [ 50/65 ( 78%)] Loss: 0.015951 (0.0162) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 163.46/s LR: 1.077e-05 P_Replacement: 0.9389774314974966 + +2023-08-09 17:50:34,620 - train: [ INFO] - Train: 293 [ 64/65 (100%)] Loss: 0.015778 (0.0162) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.10/s LR: 1.077e-05 P_Replacement: 0.9410442538854668 + +2023-08-09 17:50:35,660 - train: [ INFO] - Test: [ 0/7] Time: 0.919 (0.919) Loss: 0.4663 (0.4663) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:50:37,371 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.329) Loss: 0.4071 (0.5314) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.9655)Acc@5: 100.0000 (95.9770) + +2023-08-09 17:50:39,137 - train: [ INFO] - Train: 294 [ 0/65 ( 0%)] Loss: 0.015954 (0.0160) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.522s, 78.85/s LR: 1.057e-05 P_Replacement: 0.9411919999999999 + +2023-08-09 17:51:15,056 - train: [ INFO] - Train: 294 [ 50/65 ( 78%)] Loss: 0.016117 (0.0159) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.734s, 163.47/s LR: 1.057e-05 P_Replacement: 0.9485990385542574 + +2023-08-09 17:51:25,125 - train: [ INFO] - Train: 294 [ 64/65 (100%)] Loss: 0.015195 (0.0159) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.19/s LR: 1.057e-05 P_Replacement: 0.950679950777862 + +2023-08-09 17:51:26,089 - train: [ INFO] - Test: [ 0/7] Time: 0.874 (0.874) Loss: 0.4800 (0.4800) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:51:27,640 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.303) Loss: 0.4107 (0.5488) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.1609)Acc@5: 100.0000 (96.3218) + +2023-08-09 17:51:29,416 - train: [ INFO] - Train: 295 [ 0/65 ( 0%)] Loss: 0.015587 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.509s, 79.54/s LR: 1.039e-05 P_Replacement: 0.9508287037037035 + +2023-08-09 17:52:05,223 - train: [ INFO] - Train: 295 [ 50/65 ( 78%)] Loss: 0.015163 (0.0154) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 164.02/s LR: 1.039e-05 P_Replacement: 0.9582861498845228 + +2023-08-09 17:52:15,276 - train: [ INFO] - Train: 295 [ 64/65 (100%)] Loss: 0.014986 (0.0154) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.729s, 164.68/s LR: 1.039e-05 P_Replacement: 0.9603811998070094 + +2023-08-09 17:52:16,286 - train: [ INFO] - Test: [ 0/7] Time: 0.909 (0.909) Loss: 0.4973 (0.4973) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:52:17,975 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.325) Loss: 0.5960 (0.5315) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (88.6207)Acc@5: 93.3333 (96.5517) + +2023-08-09 17:52:19,717 - train: [ INFO] - Train: 296 [ 0/65 ( 0%)] Loss: 0.014627 (0.0146) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.492s, 80.44/s LR: 1.025e-05 P_Replacement: 0.960530962962963 + +2023-08-09 17:52:55,488 - train: [ INFO] - Train: 296 [ 50/65 ( 78%)] Loss: 0.015402 (0.0151) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.731s, 164.25/s LR: 1.025e-05 P_Replacement: 0.9680389877105143 + +2023-08-09 17:53:05,565 - train: [ INFO] - Train: 296 [ 64/65 (100%)] Loss: 0.015170 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.728s, 164.78/s LR: 1.025e-05 P_Replacement: 0.9701482231951315 + +2023-08-09 17:53:06,657 - train: [ INFO] - Test: [ 0/7] Time: 0.986 (0.986) Loss: 0.5932 (0.5932) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:53:08,312 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.330) Loss: 0.2780 (0.5369) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.2759)Acc@5: 100.0000 (96.4368) + +2023-08-09 17:53:10,173 - train: [ INFO] - Train: 297 [ 0/65 ( 0%)] Loss: 0.014154 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.620s, 74.09/s LR: 1.014e-05 P_Replacement: 0.970299 + +2023-08-09 17:53:46,137 - train: [ INFO] - Train: 297 [ 50/65 ( 78%)] Loss: 0.016997 (0.0147) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.737s, 162.84/s LR: 1.014e-05 P_Replacement: 0.9778577742544546 + +2023-08-09 17:53:56,140 - train: [ INFO] - Train: 297 [ 64/65 (100%)] Loss: 0.011820 (0.0146) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.732s, 163.92/s LR: 1.014e-05 P_Replacement: 0.9799812431644498 + +2023-08-09 17:53:57,217 - train: [ INFO] - Test: [ 0/7] Time: 0.951 (0.951) Loss: 0.5835 (0.5835) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:53:58,771 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.313) Loss: 0.4187 (0.5588) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (87.8161)Acc@5: 96.6667 (95.8621) + +2023-08-09 17:54:00,517 - train: [ INFO] - Train: 298 [ 0/65 ( 0%)] Loss: 0.013971 (0.0140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.498s, 80.09/s LR: 1.006e-05 P_Replacement: 0.9801330370370369 + +2023-08-09 17:54:36,401 - train: [ INFO] - Train: 298 [ 50/65 ( 78%)] Loss: 0.015113 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 163.72/s LR: 1.006e-05 P_Replacement: 0.9877427317385659 + +2023-08-09 17:54:46,478 - train: [ INFO] - Train: 298 [ 64/65 (100%)] Loss: 0.014008 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.730s, 164.36/s LR: 1.006e-05 P_Replacement: 0.9898804819371869 + +2023-08-09 17:54:47,501 - train: [ INFO] - Test: [ 0/7] Time: 0.914 (0.914) Loss: 0.5894 (0.5894) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:54:49,264 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.335) Loss: 0.5914 (0.5469) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.9310)Acc@5: 93.3333 (96.2069) + +2023-08-09 17:54:51,133 - train: [ INFO] - Train: 299 [ 0/65 ( 0%)] Loss: 0.014679 (0.0147) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.616s, 74.24/s LR: 1.002e-05 P_Replacement: 0.9900332962962964 + +2023-08-09 17:55:27,077 - train: [ INFO] - Train: 299 [ 50/65 ( 78%)] Loss: 0.013907 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.736s, 162.94/s LR: 1.002e-05 P_Replacement: 0.9976940823850706 + +2023-08-09 17:55:37,149 - train: [ INFO] - Train: 299 [ 64/65 (100%)] Loss: 0.010587 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.733s, 163.76/s LR: 1.002e-05 P_Replacement: 0.9998461617355654 + +2023-08-09 17:55:38,186 - train: [ INFO] - Test: [ 0/7] Time: 0.908 (0.908) Loss: 0.6428 (0.6428) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:55:39,747 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.309) Loss: 0.1417 (0.5569) cLoss: 0.0000 (0.0000) Acc@1: 100.0000 (87.4713)Acc@5: 100.0000 (96.2069) + +2023-08-09 17:55:40,024 - train: [ INFO] - *** Best metric: 89.31035166773303 (epoch 275) diff --git a/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/model_best.pth.tar b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/model_best.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..c0aba2b5d840ddc29dbb2834d444e1a75ce847cc --- /dev/null +++ b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/model_best.pth.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:587f89b780c5140bda905412942c3ede9652ce31d50f3d4675422c3de4f09a19 +size 121919741 diff --git a/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_False/summary.csv 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0000000000000000000000000000000000000000..7c4944a0d88fd1a20668ce8044919954647389a6 --- /dev/null +++ b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/args.yaml @@ -0,0 +1,148 @@ +DVS_DA: false +TET_loss: true +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptive_node: false +amp: false +apex_amp: false +aug_splits: 0 +batch_size: 120 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cut_mix: false +cutmix: 1.0 +cutmix_beta: 1.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +decay_epochs: 30 +decay_rate: 0.1 +device: 3 +dist_bn: '' +domain_loss: true +domain_loss_coefficient: 0.5 +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +encode: direct +epochs: 300 +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: '' +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: 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 +min_lr: 1.0e-05 +mix_up: false +mixup: 0.8 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 1.0 +mixup_switch_prob: 0.5 +model: Transfer_VGG_SNN +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_groups: 1 +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +no_sliding_training: false +no_use_hsv: false +node_resume: '' +node_trainable: false +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 101 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: /home/hexiang/DomainAdaptation_DVS/Results2/ +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +recount: 1 +recovery_interval: 0 +regularization: true +remode: pixel +reprob: 0.25 +requires_thres_grad: false +reset_drop: false +resplit: false +resume: '' +rgbdata_ratio: 1.0 +save_images: false +scale: +- 0.08 +- 1.0 +sched: cosine +seed: 42 +sigmoid_thres: false +smoothing: 0.0 +snr: 0 +source_dataset: CALTECH101 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 10 +suffix: '' +sync_bn: false +target_dataset: NCALTECH101 +tau: 2.0 +temporal_flatten: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.9 +traindata_ratio: 1.0 +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: 0.01 +workers: 8 diff --git a/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/log.txt b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c825d1ee14f093317e375d035bff88a30ce739b --- /dev/null +++ b/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/log.txt @@ -0,0 +1,3162 @@ +2023-08-09 15:00:38,561 - train: [ INFO] - Training with a single process on 1 GPUs. +2023-08-09 15:00:38,780 - train: [ INFO] - learning rate is 0.000586 +2023-08-09 15:00:38,780 - train: [ INFO] - Model Transfer_VGG_SNN created, param count: 10153700 +2023-08-09 15:00:48,032 - train: [ INFO] - AMP not enabled. Training in float32. +2023-08-09 15:00:48,032 - train: [ INFO] - Scheduled epochs: 310 +2023-08-09 15:01:23,799 - train: [ INFO] - Train: 0 [ 0/65 ( 0%)] Loss: 5.930159 (5.9302) Acc@1: 0.8333 ( 0.8333) Acc@5: 1.6667 ( 1.6667) Time: 23.932s, 5.01/s LR: 1.000e-06 P_Replacement: 0.0 + +2023-08-09 15:02:00,274 - train: [ INFO] - Train: 0 [ 50/65 ( 78%)] Loss: 5.886977 (5.9069) Acc@1: 1.6667 ( 0.6536) Acc@5: 3.3333 ( 4.5588) Time: 1.184s, 101.31/s LR: 1.000e-06 P_Replacement: 1.6858005023685496e-08 + +2023-08-09 15:02:10,306 - train: [ INFO] - Train: 0 [ 64/65 (100%)] Loss: 5.873128 (5.9009) Acc@1: 0.8333 ( 0.6667) Acc@5: 6.6667 ( 4.5769) Time: 1.084s, 110.74/s LR: 1.000e-06 P_Replacement: 3.535379895143208e-08 + +2023-08-09 15:02:11,596 - train: [ INFO] - Test: [ 0/7] Time: 1.206 (1.206) Loss: 4.6232 (4.6232) cLoss: 0.0000 (0.0000) Acc@1: 1.6667 ( 1.6667)Acc@5: 3.3333 ( 3.3333) + +2023-08-09 15:02:13,651 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.408) Loss: 4.6177 (4.6172) cLoss: 0.0000 (0.0000) Acc@1: 0.0000 ( 0.2299)Acc@5: 6.6667 ( 3.7931) + +2023-08-09 15:02:13,994 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-0.pth.tar', 0.22988506843303813) + +2023-08-09 15:02:15,855 - train: [ INFO] - Train: 1 [ 0/65 ( 0%)] Loss: 5.895684 (5.8957) Acc@1: 0.8333 ( 0.8333) Acc@5: 7.5000 ( 7.5000) Time: 1.860s, 64.53/s LR: 1.180e-04 P_Replacement: 3.703703703703704e-08 + +2023-08-09 15:02:52,455 - train: [ INFO] - Train: 1 [ 50/65 ( 78%)] Loss: 5.131262 (5.5573) Acc@1: 8.3333 ( 3.6765) Acc@5: 31.6667 (11.9608) Time: 0.754s, 159.14/s LR: 1.180e-04 P_Replacement: 2.0511134712318146e-07 + +2023-08-09 15:03:02,506 - train: [ INFO] - Train: 1 [ 64/65 (100%)] Loss: 4.797637 (5.4299) Acc@1: 9.1667 ( 5.2436) Acc@5: 30.8333 (14.7692) Time: 0.746s, 160.80/s LR: 1.180e-04 P_Replacement: 2.895111515703231e-07 + +2023-08-09 15:03:03,898 - train: [ INFO] - Test: [ 0/7] Time: 1.186 (1.186) Loss: 4.4893 (4.4893) cLoss: 0.0000 (0.0000) Acc@1: 0.0000 ( 0.0000)Acc@5: 15.0000 (15.0000) + +2023-08-09 15:03:06,027 - train: [ INFO] - Test: [ 7/7] Time: 0.085 (0.414) Loss: 4.5251 (4.5069) cLoss: 0.0000 (0.0000) Acc@1: 3.3333 ( 1.4943)Acc@5: 13.3333 (13.7931) + +2023-08-09 15:03:06,739 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-1.pth.tar', 1.494252977700069) + +2023-08-09 15:03:08,617 - train: [ INFO] - Train: 2 [ 0/65 ( 0%)] Loss: 4.785880 (4.7859) Acc@1: 8.3333 ( 8.3333) Acc@5: 30.0000 (30.0000) Time: 1.861s, 64.49/s LR: 2.350e-04 P_Replacement: 2.9629629629629634e-07 + +2023-08-09 15:03:44,722 - train: [ INFO] - Train: 2 [ 50/65 ( 78%)] Loss: 3.382337 (4.1918) Acc@1: 30.0000 (20.9804) Acc@5: 58.3333 (42.8595) Time: 0.744s, 161.21/s LR: 2.350e-04 P_Replacement: 7.865270823850708e-07 + +2023-08-09 15:03:54,754 - train: [ INFO] - Train: 2 [ 64/65 (100%)] Loss: 3.342709 (4.0229) Acc@1: 35.8333 (23.6154) Acc@5: 66.6667 (46.5641) Time: 0.738s, 162.52/s LR: 2.350e-04 P_Replacement: 9.846941452148553e-07 + +2023-08-09 15:03:56,145 - train: [ INFO] - Test: [ 0/7] Time: 1.210 (1.210) Loss: 3.9177 (3.9177) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (10.0000)Acc@5: 36.6667 (36.6667) + +2023-08-09 15:03:58,580 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.456) Loss: 3.8218 (3.9278) cLoss: 0.0000 (0.0000) Acc@1: 16.6667 (11.1494)Acc@5: 40.0000 (34.9425) + +2023-08-09 15:03:58,986 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-2.pth.tar', 11.149425966986295) + +2023-08-09 15:04:00,935 - train: [ INFO] - Train: 3 [ 0/65 ( 0%)] Loss: 3.215750 (3.2158) Acc@1: 37.5000 (37.5000) Acc@5: 64.1667 (64.1667) Time: 1.924s, 62.36/s LR: 3.520e-04 P_Replacement: 1.0000000000000002e-06 + +2023-08-09 15:04:36,919 - train: [ INFO] - Train: 3 [ 50/65 ( 78%)] Loss: 2.212722 (2.8805) Acc@1: 47.5000 (40.6209) Acc@5: 80.8333 (67.7941) Time: 0.743s, 161.45/s LR: 3.520e-04 P_Replacement: 1.983327433031575e-06 + +2023-08-09 15:04:46,951 - train: [ INFO] - Train: 3 [ 64/65 (100%)] Loss: 2.111140 (2.7660) Acc@1: 45.8333 (42.1154) Acc@5: 69.1667 (69.1410) Time: 0.737s, 162.71/s LR: 3.520e-04 P_Replacement: 2.3431250021072504e-06 + +2023-08-09 15:04:48,078 - train: [ INFO] - Test: [ 0/7] Time: 0.996 (0.996) Loss: 2.9292 (2.9292) cLoss: 0.0000 (0.0000) Acc@1: 37.5000 (37.5000)Acc@5: 55.0000 (55.0000) + +2023-08-09 15:04:50,083 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.375) Loss: 2.5875 (3.1146) cLoss: 0.0000 (0.0000) Acc@1: 36.6667 (28.3908)Acc@5: 70.0000 (52.7586) + +2023-08-09 15:04:50,434 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-3.pth.tar', 28.390806395432044) + +2023-08-09 15:04:52,397 - train: [ INFO] - Train: 4 [ 0/65 ( 0%)] Loss: 2.274027 (2.2740) Acc@1: 47.5000 (47.5000) Acc@5: 72.5000 (72.5000) Time: 1.936s, 61.97/s LR: 4.689e-04 P_Replacement: 2.3703703703703707e-06 + +2023-08-09 15:05:28,485 - train: [ INFO] - Train: 4 [ 50/65 ( 78%)] Loss: 1.833449 (2.0388) Acc@1: 55.0000 (53.0392) Acc@5: 82.5000 (77.9412) Time: 0.746s, 160.96/s LR: 4.689e-04 P_Replacement: 4.017734621284917e-06 + +2023-08-09 15:05:38,577 - train: [ INFO] - Train: 4 [ 64/65 (100%)] Loss: 1.611428 (1.9819) Acc@1: 52.5000 (53.9744) Acc@5: 80.0000 (78.7949) Time: 0.740s, 162.13/s LR: 4.689e-04 P_Replacement: 4.587025944469731e-06 + +2023-08-09 15:05:39,948 - train: [ INFO] - Test: [ 0/7] Time: 1.191 (1.191) Loss: 3.9273 (3.9273) cLoss: 0.0000 (0.0000) Acc@1: 10.8333 (10.8333)Acc@5: 31.6667 (31.6667) + +2023-08-09 15:05:42,057 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.412) Loss: 3.7726 (3.6258) cLoss: 0.0000 (0.0000) Acc@1: 10.0000 (15.6322)Acc@5: 36.6667 (39.8851) + +2023-08-09 15:05:44,373 - train: [ INFO] - Train: 5 [ 0/65 ( 0%)] Loss: 1.931631 (1.9316) Acc@1: 47.5000 (47.5000) Acc@5: 75.8333 (75.8333) Time: 1.968s, 60.99/s LR: 5.855e-04 P_Replacement: 4.6296296296296296e-06 + +2023-08-09 15:06:20,336 - train: [ INFO] - Train: 5 [ 50/65 ( 78%)] Loss: 1.330904 (1.5547) Acc@1: 67.5000 (60.8333) Acc@5: 91.6667 (83.9869) Time: 0.744s, 161.36/s LR: 5.855e-04 P_Replacement: 7.11197086936732e-06 + +2023-08-09 15:06:30,352 - train: [ INFO] - Train: 5 [ 64/65 (100%)] Loss: 1.219977 (1.4913) Acc@1: 60.8333 (61.5769) Acc@5: 86.6667 (84.6282) Time: 0.738s, 162.69/s LR: 5.855e-04 P_Replacement: 7.93861919452452e-06 + +2023-08-09 15:06:31,564 - train: [ INFO] - Test: [ 0/7] Time: 1.070 (1.070) Loss: 2.6497 (2.6497) cLoss: 0.0000 (0.0000) Acc@1: 34.1667 (34.1667)Acc@5: 65.0000 (65.0000) + +2023-08-09 15:06:33,606 - train: [ INFO] - Test: [ 7/7] Time: 0.083 (0.389) Loss: 2.2354 (2.5989) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (37.4713)Acc@5: 70.0000 (65.1724) + +2023-08-09 15:06:34,069 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-5.pth.tar', 37.47126585861732) + +2023-08-09 15:06:35,841 - train: [ INFO] - Train: 6 [ 0/65 ( 0%)] Loss: 1.163498 (1.1635) Acc@1: 67.5000 (67.5000) Acc@5: 87.5000 (87.5000) Time: 1.747s, 68.70/s LR: 5.854e-04 P_Replacement: 8.000000000000001e-06 + +2023-08-09 15:07:11,949 - train: [ INFO] - Train: 6 [ 50/65 ( 78%)] Loss: 1.069194 (1.1046) Acc@1: 73.3333 (68.4150) Acc@5: 94.1667 (88.3333) Time: 0.742s, 161.69/s LR: 5.854e-04 P_Replacement: 1.1488258399501006e-05 + +2023-08-09 15:07:21,907 - train: [ INFO] - Train: 6 [ 64/65 (100%)] Loss: 0.838721 (1.0742) Acc@1: 72.5000 (68.9231) Acc@5: 90.8333 (88.6795) Time: 0.736s, 163.15/s LR: 5.854e-04 P_Replacement: 1.2620126974493841e-05 + +2023-08-09 15:07:23,374 - train: [ INFO] - Test: [ 0/7] Time: 1.225 (1.225) Loss: 2.7228 (2.7228) cLoss: 0.0000 (0.0000) Acc@1: 30.8333 (30.8333)Acc@5: 61.6667 (61.6667) + +2023-08-09 15:07:25,392 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.405) Loss: 2.4277 (2.7681) cLoss: 0.0000 (0.0000) Acc@1: 33.3333 (31.2644)Acc@5: 63.3333 (60.6897) + +2023-08-09 15:07:27,745 - train: [ INFO] - Train: 7 [ 0/65 ( 0%)] Loss: 1.053088 (1.0531) Acc@1: 66.6667 (66.6667) Acc@5: 86.6667 (86.6667) Time: 2.017s, 59.50/s LR: 5.852e-04 P_Replacement: 1.2703703703703705e-05 + +2023-08-09 15:08:04,007 - train: [ INFO] - Train: 7 [ 50/65 ( 78%)] Loss: 0.666751 (0.8232) Acc@1: 86.6667 (74.6405) Acc@5: 95.8333 (91.6830) Time: 0.751s, 159.89/s LR: 5.852e-04 P_Replacement: 1.736881943390819e-05 + +2023-08-09 15:08:14,164 - train: [ INFO] - Train: 7 [ 64/65 (100%)] Loss: 0.581985 (0.7985) Acc@1: 82.5000 (75.0256) Acc@5: 98.3333 (92.0128) Time: 0.745s, 161.05/s LR: 5.852e-04 P_Replacement: 1.8853771506599906e-05 + +2023-08-09 15:08:15,557 - train: [ INFO] - Test: [ 0/7] Time: 1.137 (1.137) Loss: 1.9765 (1.9765) cLoss: 0.0000 (0.0000) Acc@1: 52.5000 (52.5000)Acc@5: 72.5000 (72.5000) + +2023-08-09 15:08:17,877 - train: [ INFO] - Test: [ 7/7] Time: 0.283 (0.432) Loss: 2.5364 (2.3563) cLoss: 0.0000 (0.0000) Acc@1: 43.3333 (43.3333)Acc@5: 66.6667 (68.3908) + +2023-08-09 15:08:18,288 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-7.pth.tar', 43.33333640262998) + +2023-08-09 15:08:20,209 - train: [ INFO] - Train: 8 [ 0/65 ( 0%)] Loss: 0.654320 (0.6543) Acc@1: 78.3333 (78.3333) Acc@5: 95.0000 (95.0000) Time: 1.894s, 63.37/s LR: 5.849e-04 P_Replacement: 1.8962962962962966e-05 + +2023-08-09 15:08:56,488 - train: [ INFO] - Train: 8 [ 50/65 ( 78%)] Loss: 0.491087 (0.6007) Acc@1: 85.8333 (79.9837) Acc@5: 97.5000 (94.9346) Time: 0.748s, 160.39/s LR: 5.849e-04 P_Replacement: 2.4975876194811103e-05 + +2023-08-09 15:09:06,750 - train: [ INFO] - Train: 8 [ 64/65 (100%)] Loss: 0.501802 (0.5862) Acc@1: 86.6667 (80.4744) Acc@5: 97.5000 (94.9744) Time: 0.745s, 161.09/s LR: 5.849e-04 P_Replacement: 2.686177501306495e-05 + +2023-08-09 15:09:08,101 - train: [ INFO] - Test: [ 0/7] Time: 1.211 (1.211) Loss: 2.3184 (2.3184) cLoss: 0.0000 (0.0000) Acc@1: 41.6667 (41.6667)Acc@5: 68.3333 (68.3333) + +2023-08-09 15:09:10,353 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.433) Loss: 2.4718 (2.3000) cLoss: 0.0000 (0.0000) Acc@1: 36.6667 (43.1035)Acc@5: 63.3333 (70.4598) + +2023-08-09 15:09:12,563 - train: [ INFO] - Train: 9 [ 0/65 ( 0%)] Loss: 0.477598 (0.4776) Acc@1: 88.3333 (88.3333) Acc@5: 95.8333 (95.8333) Time: 1.823s, 65.81/s LR: 5.847e-04 P_Replacement: 2.6999999999999996e-05 + +2023-08-09 15:09:48,763 - train: [ INFO] - Train: 9 [ 50/65 ( 78%)] Loss: 0.376413 (0.4589) Acc@1: 85.0000 (85.5065) Acc@5: 98.3333 (96.6994) Time: 0.746s, 160.96/s LR: 5.847e-04 P_Replacement: 3.453165090443196e-05 + +2023-08-09 15:09:58,821 - train: [ INFO] - Train: 9 [ 64/65 (100%)] Loss: 0.411186 (0.4537) Acc@1: 93.3333 (85.7692) Acc@5: 97.5000 (96.7821) Time: 0.740s, 162.24/s LR: 5.847e-04 P_Replacement: 3.68663597161112e-05 + +2023-08-09 15:10:00,205 - train: [ INFO] - Test: [ 0/7] Time: 1.235 (1.235) Loss: 1.7590 (1.7590) cLoss: 0.0000 (0.0000) Acc@1: 58.3333 (58.3333)Acc@5: 80.8333 (80.8333) + +2023-08-09 15:10:02,380 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.426) Loss: 1.5894 (2.0003) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (50.9195)Acc@5: 76.6667 (75.5172) + +2023-08-09 15:10:02,710 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-9.pth.tar', 50.919543430722996) + +2023-08-09 15:10:04,647 - train: [ INFO] - Train: 10 [ 0/65 ( 0%)] Loss: 0.437422 (0.4374) Acc@1: 85.8333 (85.8333) Acc@5: 95.8333 (95.8333) Time: 1.919s, 62.53/s LR: 5.844e-04 P_Replacement: 3.7037037037037037e-05 + +2023-08-09 15:10:40,901 - train: [ INFO] - Train: 10 [ 50/65 ( 78%)] Loss: 0.328665 (0.3677) Acc@1: 93.3333 (89.1503) Acc@5: 100.0000 (97.7288) Time: 0.748s, 160.33/s LR: 5.844e-04 P_Replacement: 4.6258365784992997e-05 + +2023-08-09 15:10:51,055 - train: [ INFO] - Train: 10 [ 64/65 (100%)] Loss: 0.329354 (0.3587) Acc@1: 91.6667 (89.6282) Acc@5: 99.1667 (97.8205) Time: 0.743s, 161.41/s LR: 5.844e-04 P_Replacement: 4.9089747837960845e-05 + +2023-08-09 15:10:52,402 - train: [ INFO] - Test: [ 0/7] Time: 1.216 (1.216) Loss: 1.8910 (1.8910) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (53.3333)Acc@5: 76.6667 (76.6667) + +2023-08-09 15:10:54,561 - train: [ INFO] - Test: [ 7/7] Time: 0.096 (0.422) Loss: 1.3069 (1.8010) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (53.7931)Acc@5: 86.6667 (79.0805) + +2023-08-09 15:10:54,899 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-10.pth.tar', 53.79310607910156) + +2023-08-09 15:10:56,701 - train: [ INFO] - Train: 11 [ 0/65 ( 0%)] Loss: 0.331367 (0.3314) Acc@1: 92.5000 (92.5000) Acc@5: 99.1667 (99.1667) Time: 1.783s, 67.31/s LR: 5.840e-04 P_Replacement: 4.92962962962963e-05 + +2023-08-09 15:11:32,876 - train: [ INFO] - Train: 11 [ 50/65 ( 78%)] Loss: 0.288455 (0.3014) Acc@1: 93.3333 (92.3856) Acc@5: 98.3333 (98.9379) Time: 0.744s, 161.24/s LR: 5.840e-04 P_Replacement: 6.037824305871642e-05 + +2023-08-09 15:11:42,997 - train: [ INFO] - Train: 11 [ 64/65 (100%)] Loss: 0.263590 (0.2974) Acc@1: 90.8333 (92.4615) Acc@5: 98.3333 (98.9231) Time: 0.740s, 162.24/s LR: 5.840e-04 P_Replacement: 6.375416160083615e-05 + +2023-08-09 15:11:44,278 - train: [ INFO] - Test: [ 0/7] Time: 1.038 (1.038) Loss: 1.7958 (1.7958) cLoss: 0.0000 (0.0000) Acc@1: 55.0000 (55.0000)Acc@5: 77.5000 (77.5000) + +2023-08-09 15:11:46,426 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.398) Loss: 1.7908 (1.8875) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (51.3793)Acc@5: 76.6667 (77.1264) + +2023-08-09 15:11:48,669 - train: [ INFO] - Train: 12 [ 0/65 ( 0%)] Loss: 0.325656 (0.3257) Acc@1: 95.0000 (95.0000) Acc@5: 99.1667 (99.1667) Time: 1.902s, 63.09/s LR: 5.837e-04 P_Replacement: 6.400000000000001e-05 + +2023-08-09 15:12:24,996 - train: [ INFO] - Train: 12 [ 50/65 ( 78%)] Loss: 0.230589 (0.2556) Acc@1: 97.5000 (94.5915) Acc@5: 100.0000 (99.1503) Time: 0.750s, 160.10/s LR: 5.837e-04 P_Replacement: 7.711350494782447e-05 + +2023-08-09 15:12:35,193 - train: [ INFO] - Train: 12 [ 64/65 (100%)] Loss: 0.220316 (0.2516) Acc@1: 99.1667 (94.8077) Acc@5: 100.0000 (99.2180) Time: 0.745s, 161.13/s LR: 5.837e-04 P_Replacement: 8.108182322695932e-05 + +2023-08-09 15:12:36,645 - train: [ INFO] - Test: [ 0/7] Time: 1.256 (1.256) Loss: 1.5402 (1.5402) cLoss: 0.0000 (0.0000) Acc@1: 60.8333 (60.8333)Acc@5: 86.6667 (86.6667) + +2023-08-09 15:12:38,614 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.403) Loss: 1.8313 (1.6515) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (58.7356)Acc@5: 73.3333 (81.2644) + +2023-08-09 15:12:39,280 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-12.pth.tar', 58.73563477088665) + +2023-08-09 15:12:41,221 - train: [ INFO] - Train: 13 [ 0/65 ( 0%)] Loss: 0.215712 (0.2157) Acc@1: 95.8333 (95.8333) Acc@5: 99.1667 (99.1667) Time: 1.923s, 62.39/s LR: 5.833e-04 P_Replacement: 8.137037037037037e-05 + +2023-08-09 15:13:17,336 - train: [ INFO] - Train: 13 [ 50/65 ( 78%)] Loss: 0.209469 (0.2187) Acc@1: 95.8333 (96.1438) Acc@5: 100.0000 (99.3137) Time: 0.746s, 160.90/s LR: 5.833e-04 P_Replacement: 9.668637367453935e-05 + +2023-08-09 15:13:27,373 - train: [ INFO] - Train: 13 [ 64/65 (100%)] Loss: 0.222941 (0.2157) Acc@1: 95.8333 (96.0769) Acc@5: 100.0000 (99.3333) Time: 0.740s, 162.26/s LR: 5.833e-04 P_Replacement: 0.00010129495493855256 + +2023-08-09 15:13:28,829 - train: [ INFO] - Test: [ 0/7] Time: 1.253 (1.253) Loss: 1.7925 (1.7925) cLoss: 0.0000 (0.0000) Acc@1: 51.6667 (51.6667)Acc@5: 79.1667 (79.1667) + +2023-08-09 15:13:31,518 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.493) Loss: 1.4531 (1.7172) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (55.2874)Acc@5: 80.0000 (81.4943) + +2023-08-09 15:13:33,692 - train: [ INFO] - Train: 14 [ 0/65 ( 0%)] Loss: 0.178071 (0.1781) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.870s, 64.18/s LR: 5.828e-04 P_Replacement: 0.00010162962962962964 + +2023-08-09 15:14:10,026 - train: [ INFO] - Train: 14 [ 50/65 ( 78%)] Loss: 0.197002 (0.1936) Acc@1: 99.1667 (97.1242) Acc@5: 99.1667 (99.6078) Time: 0.749s, 160.24/s LR: 5.828e-04 P_Replacement: 0.0001193190714610833 + +2023-08-09 15:14:20,101 - train: [ INFO] - Train: 14 [ 64/65 (100%)] Loss: 0.170819 (0.1914) Acc@1: 97.5000 (97.0897) Acc@5: 100.0000 (99.5898) Time: 0.743s, 161.61/s LR: 5.828e-04 P_Replacement: 0.00012461577895783813 + +2023-08-09 15:14:21,444 - train: [ INFO] - Test: [ 0/7] Time: 1.104 (1.104) Loss: 1.7020 (1.7020) cLoss: 0.0000 (0.0000) Acc@1: 60.8333 (60.8333)Acc@5: 83.3333 (83.3333) + +2023-08-09 15:14:23,599 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.407) Loss: 1.9737 (1.5606) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (60.0000)Acc@5: 73.3333 (82.6437) + +2023-08-09 15:14:23,923 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-14.pth.tar', 60.00000328853213) + +2023-08-09 15:14:25,822 - train: [ INFO] - Train: 15 [ 0/65 ( 0%)] Loss: 0.252498 (0.2525) Acc@1: 96.6667 (96.6667) Acc@5: 98.3333 (98.3333) Time: 1.881s, 63.81/s LR: 5.824e-04 P_Replacement: 0.00012500000000000003 + +2023-08-09 15:15:01,910 - train: [ INFO] - Train: 15 [ 50/65 ( 78%)] Loss: 0.138641 (0.1697) Acc@1: 98.3333 (97.5327) Acc@5: 100.0000 (99.6732) Time: 0.744s, 161.20/s LR: 5.824e-04 P_Replacement: 0.00014523382052967853 + +2023-08-09 15:15:11,937 - train: [ INFO] - Train: 15 [ 64/65 (100%)] Loss: 0.182716 (0.1673) Acc@1: 96.6667 (97.6154) Acc@5: 99.1667 (99.6795) Time: 0.738s, 162.53/s LR: 5.824e-04 P_Replacement: 0.00015126651750703822 + +2023-08-09 15:15:13,196 - train: [ INFO] - Test: [ 0/7] Time: 1.042 (1.042) Loss: 2.0628 (2.0628) cLoss: 0.0000 (0.0000) Acc@1: 52.5000 (52.5000)Acc@5: 75.0000 (75.0000) + +2023-08-09 15:15:15,256 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.388) Loss: 1.5758 (1.6979) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (57.2414)Acc@5: 83.3333 (80.9195) + +2023-08-09 15:15:17,481 - train: [ INFO] - Train: 16 [ 0/65 ( 0%)] Loss: 0.148443 (0.1484) Acc@1: 97.5000 (97.5000) Acc@5: 99.1667 (99.1667) Time: 1.880s, 63.82/s LR: 5.819e-04 P_Replacement: 0.00015170370370370373 + +2023-08-09 15:15:53,601 - train: [ INFO] - Train: 16 [ 50/65 ( 78%)] Loss: 0.160107 (0.1598) Acc@1: 99.1667 (98.2843) Acc@5: 100.0000 (99.7549) Time: 0.745s, 161.07/s LR: 5.819e-04 P_Replacement: 0.00017465284310254724 + +2023-08-09 15:16:03,709 - train: [ INFO] - Train: 16 [ 64/65 (100%)] Loss: 0.194881 (0.1568) Acc@1: 97.5000 (98.3333) Acc@5: 99.1667 (99.7436) Time: 0.740s, 162.15/s LR: 5.819e-04 P_Replacement: 0.00018146939280837507 + +2023-08-09 15:16:05,078 - train: [ INFO] - Test: [ 0/7] Time: 1.220 (1.220) Loss: 1.7118 (1.7118) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (60.0000)Acc@5: 84.1667 (84.1667) + +2023-08-09 15:16:07,116 - train: [ INFO] - Test: [ 7/7] Time: 0.081 (0.407) Loss: 2.2765 (1.7236) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (57.4713)Acc@5: 73.3333 (80.4598) + +2023-08-09 15:16:09,281 - train: [ INFO] - Train: 17 [ 0/65 ( 0%)] Loss: 0.129127 (0.1291) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 1.849s, 64.91/s LR: 5.814e-04 P_Replacement: 0.00018196296296296293 + +2023-08-09 15:16:45,605 - train: [ INFO] - Train: 17 [ 50/65 ( 78%)] Loss: 0.117486 (0.1382) Acc@1: 99.1667 (98.3497) Acc@5: 100.0000 (99.8203) Time: 0.748s, 160.34/s LR: 5.814e-04 P_Replacement: 0.0002077983614019117 + +2023-08-09 15:16:55,658 - train: [ INFO] - Train: 17 [ 64/65 (100%)] Loss: 0.129326 (0.1358) Acc@1: 99.1667 (98.4231) Acc@5: 100.0000 (99.8462) Time: 0.742s, 161.75/s LR: 5.814e-04 P_Replacement: 0.0002154466270840709 + +2023-08-09 15:16:57,111 - train: [ INFO] - Test: [ 0/7] Time: 1.225 (1.225) Loss: 1.7014 (1.7014) cLoss: 0.0000 (0.0000) Acc@1: 55.0000 (55.0000)Acc@5: 78.3333 (78.3333) + +2023-08-09 15:16:59,163 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.410) Loss: 1.3927 (1.5441) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (61.7241)Acc@5: 83.3333 (81.9540) + +2023-08-09 15:16:59,467 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-17.pth.tar', 61.72414108802532) + +2023-08-09 15:17:01,670 - train: [ INFO] - Train: 18 [ 0/65 ( 0%)] Loss: 0.111463 (0.1115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.187s, 54.86/s LR: 5.808e-04 P_Replacement: 0.00021599999999999996 + +2023-08-09 15:17:37,937 - train: [ INFO] - Train: 18 [ 50/65 ( 78%)] Loss: 0.115105 (0.1159) Acc@1: 97.5000 (99.0686) Acc@5: 100.0000 (99.9020) Time: 0.754s, 159.16/s LR: 5.808e-04 P_Replacement: 0.00024489259764999414 + +2023-08-09 15:17:47,931 - train: [ INFO] - Train: 18 [ 64/65 (100%)] Loss: 0.154059 (0.1156) Acc@1: 99.1667 (99.0897) Acc@5: 99.1667 (99.8974) Time: 0.745s, 161.01/s LR: 5.808e-04 P_Replacement: 0.0002534204425563478 + +2023-08-09 15:17:49,316 - train: [ INFO] - Test: [ 0/7] Time: 1.116 (1.116) Loss: 1.6727 (1.6727) cLoss: 0.0000 (0.0000) Acc@1: 55.8333 (55.8333)Acc@5: 84.1667 (84.1667) + +2023-08-09 15:17:51,804 - train: [ INFO] - Test: [ 7/7] Time: 0.118 (0.450) Loss: 1.7314 (1.4887) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (61.7241)Acc@5: 80.0000 (84.4828) + +2023-08-09 15:17:52,220 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-18.pth.tar', 61.724141351107896) + +2023-08-09 15:17:54,032 - train: [ INFO] - Train: 19 [ 0/65 ( 0%)] Loss: 0.112413 (0.1124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.786s, 67.18/s LR: 5.803e-04 P_Replacement: 0.0002540370370370371 + +2023-08-09 15:18:30,238 - train: [ INFO] - Train: 19 [ 50/65 ( 78%)] Loss: 0.091659 (0.1031) Acc@1: 99.1667 (99.2647) Acc@5: 100.0000 (99.9510) Time: 0.745s, 161.10/s LR: 5.803e-04 P_Replacement: 0.0002861577740690166 + +2023-08-09 15:18:40,224 - train: [ INFO] - Train: 19 [ 64/65 (100%)] Loss: 0.130891 (0.1033) Acc@1: 97.5000 (99.2692) Acc@5: 100.0000 (99.9231) Time: 0.738s, 162.59/s LR: 5.803e-04 P_Replacement: 0.0002956130614474283 + +2023-08-09 15:18:41,918 - train: [ INFO] - Test: [ 0/7] Time: 1.537 (1.537) Loss: 1.1989 (1.1989) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 85.0000 (85.0000) + +2023-08-09 15:18:43,988 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.451) Loss: 1.2799 (1.4393) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (64.2529)Acc@5: 83.3333 (84.3678) + +2023-08-09 15:18:44,306 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-19.pth.tar', 64.252876150197) + +2023-08-09 15:18:46,217 - train: [ INFO] - Train: 20 [ 0/65 ( 0%)] Loss: 0.093184 (0.0932) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.894s, 63.36/s LR: 5.796e-04 P_Replacement: 0.0002962962962962963 + +2023-08-09 15:19:22,603 - train: [ INFO] - Train: 20 [ 50/65 ( 78%)] Loss: 0.110676 (0.1035) Acc@1: 99.1667 (99.3137) Acc@5: 100.0000 (99.9837) Time: 0.751s, 159.88/s LR: 5.796e-04 P_Replacement: 0.0003318161128812017 + +2023-08-09 15:19:32,789 - train: [ INFO] - Train: 20 [ 64/65 (100%)] Loss: 0.082019 (0.1016) Acc@1: 100.0000 (99.3462) Acc@5: 100.0000 (99.9359) Time: 0.746s, 160.95/s LR: 5.796e-04 P_Replacement: 0.0003422467059795343 + +2023-08-09 15:19:34,178 - train: [ INFO] - Test: [ 0/7] Time: 1.124 (1.124) Loss: 1.4185 (1.4185) cLoss: 0.0000 (0.0000) Acc@1: 67.5000 (67.5000)Acc@5: 81.6667 (81.6667) + +2023-08-09 15:19:36,162 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.388) Loss: 1.4323 (1.4879) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (63.5632)Acc@5: 83.3333 (84.5977) + +2023-08-09 15:19:38,276 - train: [ INFO] - Train: 21 [ 0/65 ( 0%)] Loss: 0.093674 (0.0937) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.812s, 66.23/s LR: 5.790e-04 P_Replacement: 0.0003430000000000001 + +2023-08-09 15:20:14,387 - train: [ INFO] - Train: 21 [ 50/65 ( 78%)] Loss: 0.089925 (0.0913) Acc@1: 100.0000 (99.3628) Acc@5: 100.0000 (99.9673) Time: 0.744s, 161.39/s LR: 5.790e-04 P_Replacement: 0.00038208983630877116 + +2023-08-09 15:20:24,426 - train: [ INFO] - Train: 21 [ 64/65 (100%)] Loss: 0.077212 (0.0903) Acc@1: 100.0000 (99.4103) Acc@5: 100.0000 (99.9487) Time: 0.738s, 162.64/s LR: 5.790e-04 P_Replacement: 0.00039354359837488837 + +2023-08-09 15:20:25,862 - train: [ INFO] - Test: [ 0/7] Time: 1.220 (1.220) Loss: 1.4189 (1.4189) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 83.3333 (83.3333) + +2023-08-09 15:20:27,884 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.405) Loss: 1.1441 (1.4110) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (65.7471)Acc@5: 90.0000 (85.1724) + +2023-08-09 15:20:28,266 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-21.pth.tar', 65.74712950607827) + +2023-08-09 15:20:30,236 - train: [ INFO] - Train: 22 [ 0/65 ( 0%)] Loss: 0.082247 (0.0822) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.952s, 61.47/s LR: 5.783e-04 P_Replacement: 0.0003943703703703704 + +2023-08-09 15:21:06,298 - train: [ INFO] - Train: 22 [ 50/65 ( 78%)] Loss: 0.071882 (0.0823) Acc@1: 100.0000 (99.5262) Acc@5: 100.0000 (99.9346) Time: 0.745s, 161.00/s LR: 5.783e-04 P_Replacement: 0.00043720116657394774 + +2023-08-09 15:21:16,466 - train: [ INFO] - Train: 22 [ 64/65 (100%)] Loss: 0.080558 (0.0821) Acc@1: 98.3333 (99.4872) Acc@5: 100.0000 (99.9231) Time: 0.741s, 161.90/s LR: 5.783e-04 P_Replacement: 0.0004497259608557123 + +2023-08-09 15:21:17,837 - train: [ INFO] - Test: [ 0/7] Time: 1.231 (1.231) Loss: 1.4529 (1.4529) cLoss: 0.0000 (0.0000) Acc@1: 65.8333 (65.8333)Acc@5: 84.1667 (84.1667) + +2023-08-09 15:21:19,849 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.405) Loss: 1.4214 (1.4792) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (63.3333)Acc@5: 93.3333 (84.0230) + +2023-08-09 15:21:21,945 - train: [ INFO] - Train: 23 [ 0/65 ( 0%)] Loss: 0.085020 (0.0850) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.783s, 67.30/s LR: 5.776e-04 P_Replacement: 0.00045062962962962955 + +2023-08-09 15:21:58,199 - train: [ INFO] - Train: 23 [ 50/65 ( 78%)] Loss: 0.095922 (0.0899) Acc@1: 98.3333 (99.3464) Acc@5: 100.0000 (99.9837) Time: 0.746s, 160.90/s LR: 5.776e-04 P_Replacement: 0.0004973723258989531 + +2023-08-09 15:22:08,176 - train: [ INFO] - Train: 23 [ 64/65 (100%)] Loss: 0.086721 (0.0885) Acc@1: 100.0000 (99.4103) Acc@5: 100.0000 (99.9872) Time: 0.739s, 162.47/s LR: 5.776e-04 P_Replacement: 0.0005110160156442287 + +2023-08-09 15:22:09,505 - train: [ INFO] - Test: [ 0/7] Time: 1.068 (1.068) Loss: 1.1815 (1.1815) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 86.6667 (86.6667) + +2023-08-09 15:22:11,564 - train: [ INFO] - Test: [ 7/7] Time: 0.088 (0.391) Loss: 1.2168 (1.3675) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (66.2069)Acc@5: 93.3333 (84.5977) + +2023-08-09 15:22:12,074 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-23.pth.tar', 66.20689891946726) + +2023-08-09 15:22:14,091 - train: [ INFO] - Train: 24 [ 0/65 ( 0%)] Loss: 0.117026 (0.1170) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.998s, 60.07/s LR: 5.769e-04 P_Replacement: 0.0005120000000000001 + +2023-08-09 15:22:50,345 - train: [ INFO] - Train: 24 [ 50/65 ( 78%)] Loss: 0.086988 (0.0903) Acc@1: 100.0000 (99.6895) Acc@5: 100.0000 (99.9837) Time: 0.750s, 160.00/s LR: 5.769e-04 P_Replacement: 0.0005628255365060101 + +2023-08-09 15:23:00,435 - train: [ INFO] - Train: 24 [ 64/65 (100%)] Loss: 0.067712 (0.0877) Acc@1: 100.0000 (99.6923) Acc@5: 100.0000 (99.9487) Time: 0.744s, 161.37/s LR: 5.769e-04 P_Replacement: 0.0005776359849626595 + +2023-08-09 15:23:01,896 - train: [ INFO] - Test: [ 0/7] Time: 1.300 (1.300) Loss: 1.2250 (1.2250) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:23:04,085 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.436) Loss: 1.2443 (1.3275) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (67.1264)Acc@5: 83.3333 (86.2069) + +2023-08-09 15:23:04,396 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-24.pth.tar', 67.12643879857556) + +2023-08-09 15:23:06,274 - train: [ INFO] - Train: 25 [ 0/65 ( 0%)] Loss: 0.078703 (0.0787) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.858s, 64.59/s LR: 5.761e-04 P_Replacement: 0.0005787037037037036 + +2023-08-09 15:23:42,293 - train: [ INFO] - Train: 25 [ 50/65 ( 78%)] Loss: 0.076815 (0.0783) Acc@1: 100.0000 (99.5752) Acc@5: 100.0000 (99.9673) Time: 0.743s, 161.59/s LR: 5.761e-04 P_Replacement: 0.0006337830206173402 + +2023-08-09 15:23:52,444 - train: [ INFO] - Train: 25 [ 64/65 (100%)] Loss: 0.129365 (0.0797) Acc@1: 100.0000 (99.5641) Acc@5: 100.0000 (99.9744) Time: 0.739s, 162.42/s LR: 5.761e-04 P_Replacement: 0.0006498080910332273 + +2023-08-09 15:23:53,772 - train: [ INFO] - Test: [ 0/7] Time: 1.115 (1.115) Loss: 1.4824 (1.4824) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 82.5000 (82.5000) + +2023-08-09 15:23:55,783 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.391) Loss: 1.1883 (1.4724) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (63.6782)Acc@5: 86.6667 (83.5632) + +2023-08-09 15:23:57,911 - train: [ INFO] - Train: 26 [ 0/65 ( 0%)] Loss: 0.068609 (0.0686) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.839s, 65.24/s LR: 5.753e-04 P_Replacement: 0.000650962962962963 + +2023-08-09 15:24:34,041 - train: [ INFO] - Train: 26 [ 50/65 ( 78%)] Loss: 0.062505 (0.0762) Acc@1: 100.0000 (99.7059) Acc@5: 100.0000 (99.9837) Time: 0.744s, 161.19/s LR: 5.753e-04 P_Replacement: 0.000710467000455166 + +2023-08-09 15:24:44,294 - train: [ INFO] - Train: 26 [ 64/65 (100%)] Loss: 0.078893 (0.0748) Acc@1: 100.0000 (99.7180) Acc@5: 100.0000 (99.9872) Time: 0.742s, 161.76/s LR: 5.753e-04 P_Replacement: 0.0007277545560781537 + +2023-08-09 15:24:45,813 - train: [ INFO] - Test: [ 0/7] Time: 1.260 (1.260) Loss: 1.3396 (1.3396) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 84.1667 (84.1667) + +2023-08-09 15:24:47,860 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.413) Loss: 0.8090 (1.3077) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (65.7471)Acc@5: 93.3333 (86.0920) + +2023-08-09 15:24:50,106 - train: [ INFO] - Train: 27 [ 0/65 ( 0%)] Loss: 0.073684 (0.0737) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.883s, 63.74/s LR: 5.745e-04 P_Replacement: 0.0007289999999999999 + +2023-08-09 15:25:26,548 - train: [ INFO] - Train: 27 [ 50/65 ( 78%)] Loss: 0.074846 (0.0694) Acc@1: 100.0000 (99.7386) Acc@5: 100.0000 (99.9673) Time: 0.751s, 159.70/s LR: 5.745e-04 P_Replacement: 0.0007930996982417101 + +2023-08-09 15:25:36,679 - train: [ INFO] - Train: 27 [ 64/65 (100%)] Loss: 0.079169 (0.0700) Acc@1: 99.1667 (99.7308) Acc@5: 100.0000 (99.9615) Time: 0.745s, 160.99/s LR: 5.745e-04 P_Replacement: 0.0008116976023196614 + +2023-08-09 15:25:37,933 - train: [ INFO] - Test: [ 0/7] Time: 1.100 (1.100) Loss: 1.3222 (1.3222) cLoss: 0.0000 (0.0000) Acc@1: 62.5000 (62.5000)Acc@5: 86.6667 (86.6667) + +2023-08-09 15:25:39,961 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.391) Loss: 1.9110 (1.3719) cLoss: 0.0000 (0.0000) Acc@1: 50.0000 (64.7126)Acc@5: 73.3333 (85.6322) + +2023-08-09 15:25:42,280 - train: [ INFO] - Train: 28 [ 0/65 ( 0%)] Loss: 0.076326 (0.0763) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.807s, 66.39/s LR: 5.736e-04 P_Replacement: 0.0008130370370370371 + +2023-08-09 15:26:18,360 - train: [ INFO] - Train: 28 [ 50/65 ( 78%)] Loss: 0.076409 (0.0829) Acc@1: 100.0000 (99.6078) Acc@5: 100.0000 (100.0000) Time: 0.743s, 161.54/s LR: 5.736e-04 P_Replacement: 0.0008819033361991941 + +2023-08-09 15:26:28,425 - train: [ INFO] - Train: 28 [ 64/65 (100%)] Loss: 0.099171 (0.0871) Acc@1: 100.0000 (99.6026) Acc@5: 100.0000 (99.9744) Time: 0.738s, 162.67/s LR: 5.736e-04 P_Replacement: 0.0009018594519799727 + +2023-08-09 15:26:29,649 - train: [ INFO] - Test: [ 0/7] Time: 0.995 (0.995) Loss: 1.3238 (1.3238) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:26:31,688 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.379) Loss: 1.4145 (1.3205) cLoss: 0.0000 (0.0000) Acc@1: 56.6667 (67.2414)Acc@5: 86.6667 (86.5517) + +2023-08-09 15:26:32,006 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-28.pth.tar', 67.24138180962925) + +2023-08-09 15:26:34,363 - train: [ INFO] - Train: 29 [ 0/65 ( 0%)] Loss: 0.097348 (0.0973) Acc@1: 98.3333 (98.3333) Acc@5: 99.1667 (99.1667) Time: 2.340s, 51.28/s LR: 5.728e-04 P_Replacement: 0.0009032962962962962 + +2023-08-09 15:27:10,561 - train: [ INFO] - Train: 29 [ 50/65 ( 78%)] Loss: 0.057863 (0.0839) Acc@1: 100.0000 (99.7059) Acc@5: 100.0000 (99.9837) Time: 0.756s, 158.82/s LR: 5.728e-04 P_Replacement: 0.0009771001365498407 + +2023-08-09 15:27:20,598 - train: [ INFO] - Train: 29 [ 64/65 (100%)] Loss: 0.069402 (0.0835) Acc@1: 99.1667 (99.6410) Acc@5: 100.0000 (99.9744) Time: 0.747s, 160.59/s LR: 5.728e-04 P_Replacement: 0.0009984623272813093 + +2023-08-09 15:27:21,918 - train: [ INFO] - Test: [ 0/7] Time: 1.171 (1.171) Loss: 1.4307 (1.4307) cLoss: 0.0000 (0.0000) Acc@1: 60.8333 (60.8333)Acc@5: 81.6667 (81.6667) + +2023-08-09 15:27:24,140 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.424) Loss: 1.6350 (1.3239) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (66.3218)Acc@5: 86.6667 (86.0920) + +2023-08-09 15:27:26,206 - train: [ INFO] - Train: 30 [ 0/65 ( 0%)] Loss: 0.065723 (0.0657) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.767s, 67.92/s LR: 5.718e-04 P_Replacement: 0.0010000000000000002 + +2023-08-09 15:28:02,198 - train: [ INFO] - Train: 30 [ 50/65 ( 78%)] Loss: 0.070198 (0.0742) Acc@1: 99.1667 (99.7386) Acc@5: 100.0000 (99.9837) Time: 0.740s, 162.09/s LR: 5.718e-04 P_Replacement: 0.0010789123215158717 + +2023-08-09 15:28:12,260 - train: [ INFO] - Train: 30 [ 64/65 (100%)] Loss: 0.060560 (0.0712) Acc@1: 100.0000 (99.7692) Acc@5: 100.0000 (99.9744) Time: 0.736s, 163.12/s LR: 5.718e-04 P_Replacement: 0.0011017284504458943 + +2023-08-09 15:28:13,443 - train: [ INFO] - Test: [ 0/7] Time: 1.043 (1.043) Loss: 1.0734 (1.0734) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:28:15,531 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.391) Loss: 1.9145 (1.2191) cLoss: 0.0000 (0.0000) Acc@1: 46.6667 (69.0805)Acc@5: 76.6667 (88.6207) + +2023-08-09 15:28:15,934 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-30.pth.tar', 69.08046209401098) + +2023-08-09 15:28:17,756 - train: [ INFO] - Train: 31 [ 0/65 ( 0%)] Loss: 0.067042 (0.0670) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.800s, 66.67/s LR: 5.709e-04 P_Replacement: 0.0011033703703703704 + +2023-08-09 15:28:54,319 - train: [ INFO] - Train: 31 [ 50/65 ( 78%)] Loss: 0.072409 (0.0733) Acc@1: 100.0000 (99.7876) Acc@5: 100.0000 (100.0000) Time: 0.752s, 159.54/s LR: 5.709e-04 P_Replacement: 0.0011875621133195099 + +2023-08-09 15:29:04,479 - train: [ INFO] - Train: 31 [ 64/65 (100%)] Loss: 0.064590 (0.0723) Acc@1: 100.0000 (99.7436) Acc@5: 100.0000 (100.0000) Time: 0.746s, 160.77/s LR: 5.709e-04 P_Replacement: 0.0012118800436959488 + +2023-08-09 15:29:06,008 - train: [ INFO] - Test: [ 0/7] Time: 1.293 (1.293) Loss: 0.9179 (0.9179) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:29:08,085 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.421) Loss: 0.8078 (1.0877) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (72.7586)Acc@5: 96.6667 (89.1954) + +2023-08-09 15:29:08,375 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-31.pth.tar', 72.75862358356345) + +2023-08-09 15:29:10,422 - train: [ INFO] - Train: 32 [ 0/65 ( 0%)] Loss: 0.068416 (0.0684) Acc@1: 99.1667 (99.1667) Acc@5: 99.1667 (99.1667) Time: 2.020s, 59.42/s LR: 5.699e-04 P_Replacement: 0.0012136296296296298 + +2023-08-09 15:29:47,056 - train: [ INFO] - Train: 32 [ 50/65 ( 78%)] Loss: 0.061928 (0.0658) Acc@1: 100.0000 (99.6569) Acc@5: 100.0000 (99.9510) Time: 0.758s, 158.34/s LR: 5.699e-04 P_Replacement: 0.0013032717341829767 + +2023-08-09 15:29:57,108 - train: [ INFO] - Train: 32 [ 64/65 (100%)] Loss: 0.066739 (0.0651) Acc@1: 100.0000 (99.6667) Acc@5: 100.0000 (99.9615) Time: 0.749s, 160.16/s LR: 5.699e-04 P_Replacement: 0.0013291393292536964 + +2023-08-09 15:29:58,296 - train: [ INFO] - Test: [ 0/7] Time: 0.998 (0.998) Loss: 1.1441 (1.1441) cLoss: 0.0000 (0.0000) Acc@1: 71.6667 (71.6667)Acc@5: 89.1667 (89.1667) + +2023-08-09 15:30:00,338 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.380) Loss: 1.4715 (1.1364) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (70.5747)Acc@5: 93.3333 (89.1954) + +2023-08-09 15:30:02,519 - train: [ INFO] - Train: 33 [ 0/65 ( 0%)] Loss: 0.057628 (0.0576) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.889s, 63.53/s LR: 5.689e-04 P_Replacement: 0.001331 + +2023-08-09 15:30:38,751 - train: [ INFO] - Train: 33 [ 50/65 ( 78%)] Loss: 0.052206 (0.0692) Acc@1: 100.0000 (99.8039) Acc@5: 100.0000 (99.9837) Time: 0.747s, 160.58/s LR: 5.689e-04 P_Replacement: 0.0014262634063284953 + +2023-08-09 15:30:49,150 - train: [ INFO] - Train: 33 [ 64/65 (100%)] Loss: 0.063345 (0.0674) Acc@1: 99.1667 (99.8333) Acc@5: 100.0000 (99.9872) Time: 0.746s, 160.80/s LR: 5.689e-04 P_Replacement: 0.0014537285293413577 + +2023-08-09 15:30:50,680 - train: [ INFO] - Test: [ 0/7] Time: 1.274 (1.274) Loss: 1.0693 (1.0693) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (66.6667)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:30:52,762 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.419) Loss: 1.4175 (1.0776) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (72.9885)Acc@5: 86.6667 (90.1149) + +2023-08-09 15:30:53,083 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-33.pth.tar', 72.9885103949185) + +2023-08-09 15:30:55,391 - train: [ INFO] - Train: 34 [ 0/65 ( 0%)] Loss: 0.053195 (0.0532) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.292s, 52.37/s LR: 5.679e-04 P_Replacement: 0.0014557037037037034 + +2023-08-09 15:31:31,519 - train: [ INFO] - Train: 34 [ 50/65 ( 78%)] Loss: 0.064086 (0.0591) Acc@1: 99.1667 (99.8529) Acc@5: 100.0000 (100.0000) Time: 0.753s, 159.30/s LR: 5.679e-04 P_Replacement: 0.0015567593519782868 + +2023-08-09 15:31:42,062 - train: [ INFO] - Train: 34 [ 64/65 (100%)] Loss: 0.068143 (0.0592) Acc@1: 100.0000 (99.8077) Acc@5: 100.0000 (99.9744) Time: 0.753s, 159.32/s LR: 5.679e-04 P_Replacement: 0.0015858698661811563 + +2023-08-09 15:31:43,354 - train: [ INFO] - Test: [ 0/7] Time: 1.072 (1.072) Loss: 1.1821 (1.1821) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (70.0000)Acc@5: 86.6667 (86.6667) + +2023-08-09 15:31:45,464 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.398) Loss: 1.6217 (1.0854) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (71.3793)Acc@5: 83.3333 (89.7701) + +2023-08-09 15:31:47,651 - train: [ INFO] - Train: 35 [ 0/65 ( 0%)] Loss: 0.059958 (0.0600) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.881s, 63.79/s LR: 5.668e-04 P_Replacement: 0.0015879629629629631 + +2023-08-09 15:32:23,698 - train: [ INFO] - Train: 35 [ 50/65 ( 78%)] Loss: 0.093141 (0.0551) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (100.0000) Time: 0.744s, 161.37/s LR: 5.668e-04 P_Replacement: 0.0016949817933545747 + +2023-08-09 15:32:33,795 - train: [ INFO] - Train: 35 [ 64/65 (100%)] Loss: 0.060385 (0.0554) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (100.0000) Time: 0.739s, 162.43/s LR: 5.668e-04 P_Replacement: 0.0017257855619953134 + +2023-08-09 15:32:35,602 - train: [ INFO] - Test: [ 0/7] Time: 1.597 (1.597) Loss: 1.3120 (1.3120) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:32:37,546 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.443) Loss: 1.3206 (1.0260) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (73.2184)Acc@5: 86.6667 (90.1149) + +2023-08-09 15:32:37,910 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-35.pth.tar', 73.21839536469558) + +2023-08-09 15:32:39,888 - train: [ INFO] - Train: 36 [ 0/65 ( 0%)] Loss: 0.050094 (0.0501) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.961s, 61.21/s LR: 5.657e-04 P_Replacement: 0.0017279999999999997 + +2023-08-09 15:33:16,238 - train: [ INFO] - Train: 36 [ 50/65 ( 78%)] Loss: 0.051254 (0.0563) Acc@1: 99.1667 (99.8693) Acc@5: 100.0000 (99.9837) Time: 0.751s, 159.76/s LR: 5.657e-04 P_Replacement: 0.00184115295267958 + +2023-08-09 15:33:26,447 - train: [ INFO] - Train: 36 [ 64/65 (100%)] Loss: 0.048550 (0.0565) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (99.9872) Time: 0.746s, 160.78/s LR: 5.657e-04 P_Replacement: 0.0018736978390060523 + +2023-08-09 15:33:27,899 - train: [ INFO] - Test: [ 0/7] Time: 1.196 (1.196) Loss: 1.2174 (1.2174) cLoss: 0.0000 (0.0000) Acc@1: 65.0000 (65.0000)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:33:29,885 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.398) Loss: 1.4221 (1.1812) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (67.3563)Acc@5: 90.0000 (90.1149) + +2023-08-09 15:33:32,127 - train: [ INFO] - Train: 37 [ 0/65 ( 0%)] Loss: 0.054666 (0.0547) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.940s, 61.85/s LR: 5.646e-04 P_Replacement: 0.0018760370370370372 + +2023-08-09 15:34:08,335 - train: [ INFO] - Train: 37 [ 50/65 ( 78%)] Loss: 0.090027 (0.0827) Acc@1: 98.3333 (99.7386) Acc@5: 100.0000 (99.9673) Time: 0.748s, 160.44/s LR: 5.646e-04 P_Replacement: 0.001995495052175526 + +2023-08-09 15:34:18,420 - train: [ INFO] - Train: 37 [ 64/65 (100%)] Loss: 0.124198 (0.0888) Acc@1: 100.0000 (99.7692) Acc@5: 100.0000 (99.9744) Time: 0.742s, 161.73/s LR: 5.646e-04 P_Replacement: 0.002029828919435593 + +2023-08-09 15:34:19,752 - train: [ INFO] - Test: [ 0/7] Time: 1.136 (1.136) Loss: 1.5539 (1.5539) cLoss: 0.0000 (0.0000) Acc@1: 64.1667 (64.1667)Acc@5: 80.8333 (80.8333) + +2023-08-09 15:34:21,783 - train: [ INFO] - Test: [ 7/7] Time: 0.097 (0.396) Loss: 1.0628 (1.3054) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (68.0460)Acc@5: 86.6667 (86.7816) + +2023-08-09 15:34:23,872 - train: [ INFO] - Train: 38 [ 0/65 ( 0%)] Loss: 0.149803 (0.1498) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.680s, 71.44/s LR: 5.634e-04 P_Replacement: 0.002032296296296297 + +2023-08-09 15:35:00,126 - train: [ INFO] - Train: 38 [ 50/65 ( 78%)] Loss: 0.222973 (0.1715) Acc@1: 98.3333 (98.4641) Acc@5: 100.0000 (99.8693) Time: 0.744s, 161.34/s LR: 5.634e-04 P_Replacement: 0.002158230314064634 + +2023-08-09 15:35:10,144 - train: [ INFO] - Train: 38 [ 64/65 (100%)] Loss: 0.329289 (0.1841) Acc@1: 95.8333 (98.4359) Acc@5: 99.1667 (99.8846) Time: 0.738s, 162.68/s LR: 5.634e-04 P_Replacement: 0.002194401025506162 + +2023-08-09 15:35:11,553 - train: [ INFO] - Test: [ 0/7] Time: 1.183 (1.183) Loss: 1.4221 (1.4221) cLoss: 0.0000 (0.0000) Acc@1: 62.5000 (62.5000)Acc@5: 85.8333 (85.8333) + +2023-08-09 15:35:13,784 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.427) Loss: 1.6719 (1.6593) cLoss: 0.0000 (0.0000) Acc@1: 53.3333 (59.6552)Acc@5: 80.0000 (83.1035) + +2023-08-09 15:35:16,379 - train: [ INFO] - Train: 39 [ 0/65 ( 0%)] Loss: 0.296126 (0.2961) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 2.272s, 52.82/s LR: 5.623e-04 P_Replacement: 0.002197 + +2023-08-09 15:35:52,834 - train: [ INFO] - Train: 39 [ 50/65 ( 78%)] Loss: 0.168013 (0.2518) Acc@1: 98.3333 (97.0425) Acc@5: 100.0000 (99.8203) Time: 0.759s, 158.06/s LR: 5.623e-04 P_Replacement: 0.002329580960569126 + +2023-08-09 15:36:02,951 - train: [ INFO] - Train: 39 [ 64/65 (100%)] Loss: 0.233533 (0.2373) Acc@1: 99.1667 (97.3333) Acc@5: 100.0000 (99.8462) Time: 0.751s, 159.72/s LR: 5.623e-04 P_Replacement: 0.002367636379439977 + +2023-08-09 15:36:04,181 - train: [ INFO] - Test: [ 0/7] Time: 1.074 (1.074) Loss: 1.2912 (1.2912) cLoss: 0.0000 (0.0000) Acc@1: 68.3333 (68.3333)Acc@5: 85.8333 (85.8333) + +2023-08-09 15:36:06,410 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.413) Loss: 1.6312 (1.4573) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (66.2069)Acc@5: 80.0000 (85.1724) + +2023-08-09 15:36:08,740 - train: [ INFO] - Train: 40 [ 0/65 ( 0%)] Loss: 0.193742 (0.1937) Acc@1: 97.5000 (97.5000) Acc@5: 99.1667 (99.1667) Time: 1.870s, 64.16/s LR: 5.610e-04 P_Replacement: 0.0023703703703703703 + +2023-08-09 15:36:44,648 - train: [ INFO] - Train: 40 [ 50/65 ( 78%)] Loss: 0.080705 (0.1248) Acc@1: 99.1667 (99.0196) Acc@5: 100.0000 (99.9346) Time: 0.741s, 162.01/s LR: 5.610e-04 P_Replacement: 0.0025097692139112253 + +2023-08-09 15:36:54,809 - train: [ INFO] - Train: 40 [ 64/65 (100%)] Loss: 0.083226 (0.1174) Acc@1: 99.1667 (99.1410) Acc@5: 100.0000 (99.9359) Time: 0.737s, 162.72/s LR: 5.610e-04 P_Replacement: 0.002549757203459262 + +2023-08-09 15:36:56,254 - train: [ INFO] - Test: [ 0/7] Time: 1.275 (1.275) Loss: 1.2258 (1.2258) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:36:58,263 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.410) Loss: 1.4521 (1.1465) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (69.1954)Acc@5: 83.3333 (89.7701) + +2023-08-09 15:37:00,526 - train: [ INFO] - Train: 41 [ 0/65 ( 0%)] Loss: 0.073270 (0.0733) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.918s, 62.57/s LR: 5.598e-04 P_Replacement: 0.002552629629629629 + +2023-08-09 15:37:36,726 - train: [ INFO] - Train: 41 [ 50/65 ( 78%)] Loss: 0.083070 (0.0845) Acc@1: 99.1667 (99.7222) Acc@5: 99.1667 (99.9837) Time: 0.747s, 160.57/s LR: 5.598e-04 P_Replacement: 0.0026990172963131547 + +2023-08-09 15:37:46,832 - train: [ INFO] - Train: 41 [ 64/65 (100%)] Loss: 0.057632 (0.0824) Acc@1: 100.0000 (99.7308) Acc@5: 100.0000 (99.9872) Time: 0.742s, 161.76/s LR: 5.598e-04 P_Replacement: 0.0027409857197862398 + +2023-08-09 15:37:48,040 - train: [ INFO] - Test: [ 0/7] Time: 1.051 (1.051) Loss: 1.1105 (1.1105) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 87.5000 (87.5000) + +2023-08-09 15:37:50,203 - train: [ INFO] - Test: [ 7/7] Time: 0.088 (0.402) Loss: 0.8726 (0.9671) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (74.3678)Acc@5: 93.3333 (91.4943) + +2023-08-09 15:37:50,677 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-41.pth.tar', 74.3678207397461) + +2023-08-09 15:37:52,485 - train: [ INFO] - Train: 42 [ 0/65 ( 0%)] Loss: 0.060214 (0.0602) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.784s, 67.27/s LR: 5.585e-04 P_Replacement: 0.0027440000000000008 + +2023-08-09 15:38:28,641 - train: [ INFO] - Train: 42 [ 50/65 ( 78%)] Loss: 0.058789 (0.0676) Acc@1: 100.0000 (99.8366) Acc@5: 100.0000 (100.0000) Time: 0.744s, 161.32/s LR: 5.585e-04 P_Replacement: 0.0028975474299971346 + +2023-08-09 15:38:38,726 - train: [ INFO] - Train: 42 [ 64/65 (100%)] Loss: 0.060328 (0.0675) Acc@1: 100.0000 (99.8462) Acc@5: 100.0000 (100.0000) Time: 0.739s, 162.43/s LR: 5.585e-04 P_Replacement: 0.0029415441506431337 + +2023-08-09 15:38:39,882 - train: [ INFO] - Test: [ 0/7] Time: 1.005 (1.005) Loss: 0.8714 (0.8714) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:38:41,971 - train: [ INFO] - Test: [ 7/7] Time: 0.079 (0.387) Loss: 0.7295 (0.9680) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (74.1379)Acc@5: 93.3333 (91.3793) + +2023-08-09 15:38:44,316 - train: [ INFO] - Train: 43 [ 0/65 ( 0%)] Loss: 0.059286 (0.0593) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.874s, 64.03/s LR: 5.572e-04 P_Replacement: 0.002944703703703704 + +2023-08-09 15:39:20,325 - train: [ INFO] - Train: 43 [ 50/65 ( 78%)] Loss: 0.065409 (0.0607) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.743s, 161.56/s LR: 5.572e-04 P_Replacement: 0.0031055818371853875 + +2023-08-09 15:39:30,530 - train: [ INFO] - Train: 43 [ 64/65 (100%)] Loss: 0.072022 (0.0605) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.740s, 162.22/s LR: 5.572e-04 P_Replacement: 0.0031516547182521624 + +2023-08-09 15:39:31,939 - train: [ INFO] - Test: [ 0/7] Time: 1.147 (1.147) Loss: 0.9246 (0.9246) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:39:33,874 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.385) Loss: 0.8313 (1.0088) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (73.6782)Acc@5: 100.0000 (91.0345) + +2023-08-09 15:39:36,031 - train: [ INFO] - Train: 44 [ 0/65 ( 0%)] Loss: 0.051599 (0.0516) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.765s, 67.97/s LR: 5.559e-04 P_Replacement: 0.003154962962962963 + +2023-08-09 15:40:12,458 - train: [ INFO] - Train: 44 [ 50/65 ( 78%)] Loss: 0.046699 (0.0572) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (99.9837) Time: 0.749s, 160.25/s LR: 5.559e-04 P_Replacement: 0.003323342740100136 + +2023-08-09 15:40:22,571 - train: [ INFO] - Train: 44 [ 64/65 (100%)] Loss: 0.113296 (0.0573) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (99.9872) Time: 0.743s, 161.48/s LR: 5.559e-04 P_Replacement: 0.00337153964483555 + +2023-08-09 15:40:23,820 - train: [ INFO] - Test: [ 0/7] Time: 1.099 (1.099) Loss: 0.7789 (0.7789) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:40:25,969 - train: [ INFO] - Test: [ 7/7] Time: 0.108 (0.406) Loss: 1.3841 (1.0364) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (73.5632)Acc@5: 83.3333 (90.1149) + +2023-08-09 15:40:28,528 - train: [ INFO] - Train: 45 [ 0/65 ( 0%)] Loss: 0.055985 (0.0560) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.082s, 57.65/s LR: 5.546e-04 P_Replacement: 0.0033749999999999995 + +2023-08-09 15:41:05,099 - train: [ INFO] - Train: 45 [ 50/65 ( 78%)] Loss: 0.060876 (0.0639) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.758s, 158.34/s LR: 5.546e-04 P_Replacement: 0.0035510523609636043 + +2023-08-09 15:41:15,185 - train: [ INFO] - Train: 45 [ 64/65 (100%)] Loss: 0.050316 (0.0636) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.750s, 160.05/s LR: 5.546e-04 P_Replacement: 0.003601421152615519 + +2023-08-09 15:41:16,561 - train: [ INFO] - Test: [ 0/7] Time: 1.170 (1.170) Loss: 0.8502 (0.8502) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:41:18,937 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.443) Loss: 0.7168 (0.8919) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (77.7012)Acc@5: 93.3333 (92.1839) + +2023-08-09 15:41:19,284 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-45.pth.tar', 77.70115240688982) + +2023-08-09 15:41:21,005 - train: [ INFO] - Train: 46 [ 0/65 ( 0%)] Loss: 0.056309 (0.0563) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.705s, 70.37/s LR: 5.532e-04 P_Replacement: 0.0036050370370370364 + +2023-08-09 15:41:57,726 - train: [ INFO] - Train: 46 [ 50/65 ( 78%)] Loss: 0.051060 (0.0588) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (100.0000) Time: 0.753s, 159.28/s LR: 5.532e-04 P_Replacement: 0.0037889329219980114 + +2023-08-09 15:42:07,792 - train: [ INFO] - Train: 46 [ 64/65 (100%)] Loss: 0.059186 (0.0602) Acc@1: 100.0000 (99.8462) Acc@5: 100.0000 (100.0000) Time: 0.746s, 160.87/s LR: 5.532e-04 P_Replacement: 0.003841521463814293 + +2023-08-09 15:42:09,106 - train: [ INFO] - Test: [ 0/7] Time: 1.092 (1.092) Loss: 0.9889 (0.9889) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:42:11,232 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.402) Loss: 1.4287 (0.9423) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (74.7126)Acc@5: 93.3333 (92.0690) + +2023-08-09 15:42:13,539 - train: [ INFO] - Train: 47 [ 0/65 ( 0%)] Loss: 0.054386 (0.0544) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.947s, 61.62/s LR: 5.518e-04 P_Replacement: 0.003845296296296297 + +2023-08-09 15:42:50,008 - train: [ INFO] - Train: 47 [ 50/65 ( 78%)] Loss: 0.053473 (0.0660) Acc@1: 100.0000 (99.8366) Acc@5: 100.0000 (100.0000) Time: 0.753s, 159.32/s LR: 5.518e-04 P_Replacement: 0.00403720664542558 + +2023-08-09 15:43:00,436 - train: [ INFO] - Train: 47 [ 64/65 (100%)] Loss: 0.063892 (0.0661) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (100.0000) Time: 0.751s, 159.71/s LR: 5.518e-04 P_Replacement: 0.004092062800654091 + +2023-08-09 15:43:01,782 - train: [ INFO] - Test: [ 0/7] Time: 1.089 (1.089) Loss: 1.1549 (1.1549) cLoss: 0.0000 (0.0000) Acc@1: 69.1667 (69.1667)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:43:03,785 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.386) Loss: 0.5108 (0.8927) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (76.5517)Acc@5: 93.3333 (93.1035) + +2023-08-09 15:43:06,089 - train: [ INFO] - Train: 48 [ 0/65 ( 0%)] Loss: 0.052840 (0.0528) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.999s, 60.04/s LR: 5.503e-04 P_Replacement: 0.004096000000000001 + +2023-08-09 15:43:43,279 - train: [ INFO] - Train: 48 [ 50/65 ( 78%)] Loss: 0.046347 (0.0627) Acc@1: 100.0000 (99.8203) Acc@5: 100.0000 (99.9837) Time: 0.768s, 156.20/s LR: 5.503e-04 P_Replacement: 0.004296095753468534 + +2023-08-09 15:43:53,750 - train: [ INFO] - Train: 48 [ 64/65 (100%)] Loss: 0.053207 (0.0596) Acc@1: 100.0000 (99.8462) Acc@5: 100.0000 (99.9872) Time: 0.764s, 157.10/s LR: 5.503e-04 P_Replacement: 0.004353267385357137 + +2023-08-09 15:43:54,941 - train: [ INFO] - Test: [ 0/7] Time: 1.029 (1.029) Loss: 1.1244 (1.1244) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 88.3333 (88.3333) + +2023-08-09 15:43:57,101 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.399) Loss: 0.9752 (0.8489) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (78.1609)Acc@5: 90.0000 (92.2989) + +2023-08-09 15:43:57,483 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-48.pth.tar', 78.16092418802195) + +2023-08-09 15:43:59,731 - train: [ INFO] - Train: 49 [ 0/65 ( 0%)] Loss: 0.045202 (0.0452) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.223s, 53.98/s LR: 5.489e-04 P_Replacement: 0.00435737037037037 + +2023-08-09 15:44:36,022 - train: [ INFO] - Train: 49 [ 50/65 ( 78%)] Loss: 0.053982 (0.0625) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (99.9837) Time: 0.755s, 158.92/s LR: 5.489e-04 P_Replacement: 0.0045658224683490945 + +2023-08-09 15:44:46,177 - train: [ INFO] - Train: 49 [ 64/65 (100%)] Loss: 0.049179 (0.0609) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (99.9872) Time: 0.749s, 160.28/s LR: 5.489e-04 P_Replacement: 0.004625357440145653 + +2023-08-09 15:44:47,383 - train: [ INFO] - Test: [ 0/7] Time: 1.027 (1.027) Loss: 0.8148 (0.8148) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:44:49,573 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.402) Loss: 1.0204 (0.8802) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (78.8506)Acc@5: 96.6667 (92.9885) + +2023-08-09 15:44:49,863 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-49.pth.tar', 78.85058041276604) + +2023-08-09 15:44:51,756 - train: [ INFO] - Train: 50 [ 0/65 ( 0%)] Loss: 0.052475 (0.0525) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.876s, 63.97/s LR: 5.474e-04 P_Replacement: 0.0046296296296296285 + +2023-08-09 15:45:28,416 - train: [ INFO] - Train: 50 [ 50/65 ( 78%)] Loss: 0.042555 (0.0526) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.756s, 158.83/s LR: 5.474e-04 P_Replacement: 0.004846609012289486 + +2023-08-09 15:45:38,621 - train: [ INFO] - Train: 50 [ 64/65 (100%)] Loss: 0.049388 (0.0525) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.750s, 160.05/s LR: 5.474e-04 P_Replacement: 0.004908555187241861 + +2023-08-09 15:45:39,881 - train: [ INFO] - Test: [ 0/7] Time: 1.074 (1.074) Loss: 0.7402 (0.7402) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:45:41,816 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.376) Loss: 0.6548 (0.8659) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (77.7012)Acc@5: 93.3333 (91.8391) + +2023-08-09 15:45:44,106 - train: [ INFO] - Train: 51 [ 0/65 ( 0%)] Loss: 0.045070 (0.0451) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.934s, 62.05/s LR: 5.458e-04 P_Replacement: 0.004913000000000001 + +2023-08-09 15:46:20,800 - train: [ INFO] - Train: 51 [ 50/65 ( 78%)] Loss: 0.042270 (0.0542) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.757s, 158.45/s LR: 5.458e-04 P_Replacement: 0.005138677607511927 + +2023-08-09 15:46:31,017 - train: [ INFO] - Train: 51 [ 64/65 (100%)] Loss: 0.046014 (0.0567) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.751s, 159.71/s LR: 5.458e-04 P_Replacement: 0.005203082848867986 + +2023-08-09 15:46:32,323 - train: [ INFO] - Test: [ 0/7] Time: 1.148 (1.148) Loss: 0.9349 (0.9349) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:46:34,308 - train: [ INFO] - Test: [ 7/7] Time: 0.179 (0.392) Loss: 1.0716 (0.9859) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (73.9080)Acc@5: 90.0000 (92.2989) + +2023-08-09 15:46:36,465 - train: [ INFO] - Train: 52 [ 0/65 ( 0%)] Loss: 0.070609 (0.0706) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.780s, 67.40/s LR: 5.443e-04 P_Replacement: 0.005207703703703704 + +2023-08-09 15:47:12,449 - train: [ INFO] - Train: 52 [ 50/65 ( 78%)] Loss: 0.037978 (0.0582) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.740s, 162.07/s LR: 5.443e-04 P_Replacement: 0.0054422504762386414 + +2023-08-09 15:47:22,666 - train: [ INFO] - Train: 52 [ 64/65 (100%)] Loss: 0.037052 (0.0567) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (100.0000) Time: 0.738s, 162.58/s LR: 5.443e-04 P_Replacement: 0.005509162647246245 + +2023-08-09 15:47:23,951 - train: [ INFO] - Test: [ 0/7] Time: 1.091 (1.091) Loss: 0.8808 (0.8808) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.6667)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:47:25,983 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.390) Loss: 0.8708 (0.8587) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (78.7356)Acc@5: 93.3333 (92.4138) + +2023-08-09 15:47:28,264 - train: [ INFO] - Train: 53 [ 0/65 ( 0%)] Loss: 0.075522 (0.0755) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.843s, 65.11/s LR: 5.427e-04 P_Replacement: 0.005513962962962963 + +2023-08-09 15:48:04,780 - train: [ INFO] - Train: 53 [ 50/65 ( 78%)] Loss: 0.051899 (0.0567) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.752s, 159.56/s LR: 5.427e-04 P_Replacement: 0.005757549840691852 + +2023-08-09 15:48:14,818 - train: [ INFO] - Train: 53 [ 64/65 (100%)] Loss: 0.047877 (0.0565) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.745s, 161.18/s LR: 5.427e-04 P_Replacement: 0.005827016804598863 + +2023-08-09 15:48:16,027 - train: [ INFO] - Test: [ 0/7] Time: 1.057 (1.057) Loss: 0.7619 (0.7619) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:48:18,246 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.409) Loss: 0.8982 (0.8989) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (77.9310)Acc@5: 93.3333 (91.7241) + +2023-08-09 15:48:20,671 - train: [ INFO] - Train: 54 [ 0/65 ( 0%)] Loss: 0.041866 (0.0419) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.101s, 57.11/s LR: 5.411e-04 P_Replacement: 0.0058319999999999995 + +2023-08-09 15:48:57,188 - train: [ INFO] - Train: 54 [ 50/65 ( 78%)] Loss: 0.047829 (0.0495) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.757s, 158.48/s LR: 5.411e-04 P_Replacement: 0.006084797923093782 + +2023-08-09 15:49:07,276 - train: [ INFO] - Train: 54 [ 64/65 (100%)] Loss: 0.056236 (0.0480) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.749s, 160.16/s LR: 5.411e-04 P_Replacement: 0.006156867543148063 + +2023-08-09 15:49:08,686 - train: [ INFO] - Test: [ 0/7] Time: 1.119 (1.119) Loss: 0.7590 (0.7590) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 92.5000 (92.5000) + +2023-08-09 15:49:11,100 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.442) Loss: 1.5769 (0.9258) cLoss: 0.0000 (0.0000) Acc@1: 60.0000 (74.5977)Acc@5: 80.0000 (91.9540) + +2023-08-09 15:49:13,457 - train: [ INFO] - Train: 55 [ 0/65 ( 0%)] Loss: 0.035038 (0.0350) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.013s, 59.60/s LR: 5.395e-04 P_Replacement: 0.006162037037037035 + +2023-08-09 15:49:49,550 - train: [ INFO] - Train: 55 [ 50/65 ( 78%)] Loss: 0.054029 (0.0450) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.747s, 160.66/s LR: 5.395e-04 P_Replacement: 0.00642421694566665 + +2023-08-09 15:49:59,722 - train: [ INFO] - Train: 55 [ 64/65 (100%)] Loss: 0.038885 (0.0451) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.742s, 161.63/s LR: 5.395e-04 P_Replacement: 0.0064989370851160685 + +2023-08-09 15:50:01,115 - train: [ INFO] - Test: [ 0/7] Time: 1.168 (1.168) Loss: 0.8218 (0.8218) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:50:03,133 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.398) Loss: 0.6760 (0.8408) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (79.5402)Acc@5: 96.6667 (93.4483) + +2023-08-09 15:50:03,629 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-55.pth.tar', 79.5402340066844) + +2023-08-09 15:50:05,436 - train: [ INFO] - Train: 56 [ 0/65 ( 0%)] Loss: 0.082977 (0.0830) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.786s, 67.18/s LR: 5.378e-04 P_Replacement: 0.006504296296296297 + +2023-08-09 15:50:41,913 - train: [ INFO] - Train: 56 [ 50/65 ( 78%)] Loss: 0.099035 (0.0503) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.750s, 159.96/s LR: 5.378e-04 P_Replacement: 0.006776029130632681 + +2023-08-09 15:50:52,158 - train: [ INFO] - Train: 56 [ 64/65 (100%)] Loss: 0.040599 (0.0513) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.746s, 160.81/s LR: 5.378e-04 P_Replacement: 0.006853447652725097 + +2023-08-09 15:50:53,546 - train: [ INFO] - Test: [ 0/7] Time: 1.186 (1.186) Loss: 1.0045 (1.0045) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:50:55,431 - train: [ INFO] - Test: [ 7/7] Time: 0.136 (0.384) Loss: 0.7002 (0.9419) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (76.8966)Acc@5: 96.6667 (92.0690) + +2023-08-09 15:50:57,654 - train: [ INFO] - Train: 57 [ 0/65 ( 0%)] Loss: 0.089135 (0.0891) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.843s, 65.11/s LR: 5.361e-04 P_Replacement: 0.0068590000000000005 + +2023-08-09 15:51:34,672 - train: [ INFO] - Train: 57 [ 50/65 ( 78%)] Loss: 0.049826 (0.0632) Acc@1: 100.0000 (99.7712) Acc@5: 100.0000 (99.9837) Time: 0.762s, 157.50/s LR: 5.361e-04 P_Replacement: 0.007140456700214096 + +2023-08-09 15:51:45,008 - train: [ INFO] - Train: 57 [ 64/65 (100%)] Loss: 0.040804 (0.0604) Acc@1: 100.0000 (99.8205) Acc@5: 100.0000 (99.9872) Time: 0.757s, 158.57/s LR: 5.361e-04 P_Replacement: 0.007220621468197373 + +2023-08-09 15:51:46,468 - train: [ INFO] - Test: [ 0/7] Time: 1.301 (1.301) Loss: 0.8480 (0.8480) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:51:48,391 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.403) Loss: 0.9496 (0.8797) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (77.4713)Acc@5: 90.0000 (92.5287) + +2023-08-09 15:51:51,141 - train: [ INFO] - Train: 58 [ 0/65 ( 0%)] Loss: 0.053859 (0.0539) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.390s, 50.22/s LR: 5.344e-04 P_Replacement: 0.00722637037037037 + +2023-08-09 15:52:27,479 - train: [ INFO] - Train: 58 [ 50/65 ( 78%)] Loss: 0.073762 (0.0540) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.759s, 158.04/s LR: 5.344e-04 P_Replacement: 0.0075177218766331174 + +2023-08-09 15:52:37,872 - train: [ INFO] - Train: 58 [ 64/65 (100%)] Loss: 0.040089 (0.0554) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.755s, 158.86/s LR: 5.344e-04 P_Replacement: 0.00760068075375512 + +2023-08-09 15:52:39,411 - train: [ INFO] - Test: [ 0/7] Time: 1.278 (1.278) Loss: 0.9083 (0.9083) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:52:41,526 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.424) Loss: 0.8304 (0.8481) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (76.6667)Acc@5: 86.6667 (93.2184) + +2023-08-09 15:52:43,834 - train: [ INFO] - Train: 59 [ 0/65 ( 0%)] Loss: 0.057108 (0.0571) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.943s, 61.76/s LR: 5.327e-04 P_Replacement: 0.007606629629629628 + +2023-08-09 15:53:20,337 - train: [ INFO] - Train: 59 [ 50/65 ( 78%)] Loss: 0.047471 (0.0553) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.754s, 159.20/s LR: 5.327e-04 P_Replacement: 0.007908046882111972 + +2023-08-09 15:53:30,619 - train: [ INFO] - Train: 59 [ 64/65 (100%)] Loss: 0.050382 (0.0570) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.749s, 160.13/s LR: 5.327e-04 P_Replacement: 0.007993847731620558 + +2023-08-09 15:53:32,020 - train: [ INFO] - Test: [ 0/7] Time: 1.099 (1.099) Loss: 0.8603 (0.8603) cLoss: 0.0000 (0.0000) Acc@1: 72.5000 (72.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 15:53:33,995 - train: [ INFO] - Test: [ 7/7] Time: 0.079 (0.384) Loss: 0.7503 (0.9266) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (76.0920)Acc@5: 93.3333 (92.7586) + +2023-08-09 15:53:36,082 - train: [ INFO] - Train: 60 [ 0/65 ( 0%)] Loss: 0.059275 (0.0593) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.721s, 69.73/s LR: 5.309e-04 P_Replacement: 0.008000000000000002 + +2023-08-09 15:54:12,732 - train: [ INFO] - Train: 60 [ 50/65 ( 78%)] Loss: 0.054490 (0.0645) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (100.0000) Time: 0.752s, 159.50/s LR: 5.309e-04 P_Replacement: 0.008311653938872874 + +2023-08-09 15:54:22,958 - train: [ INFO] - Train: 60 [ 64/65 (100%)] Loss: 0.042811 (0.0633) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (100.0000) Time: 0.748s, 160.51/s LR: 5.309e-04 P_Replacement: 0.008400344624015914 + +2023-08-09 15:54:24,160 - train: [ INFO] - Test: [ 0/7] Time: 1.030 (1.030) Loss: 0.7255 (0.7255) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:54:26,193 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.383) Loss: 1.0942 (0.8379) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (78.5058)Acc@5: 83.3333 (92.5287) + +2023-08-09 15:54:28,809 - train: [ INFO] - Train: 61 [ 0/65 ( 0%)] Loss: 0.049514 (0.0495) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.159s, 55.59/s LR: 5.292e-04 P_Replacement: 0.008406703703703704 + +2023-08-09 15:55:05,604 - train: [ INFO] - Train: 61 [ 50/65 ( 78%)] Loss: 0.050465 (0.0515) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.764s, 157.12/s LR: 5.292e-04 P_Replacement: 0.00872876526913805 + +2023-08-09 15:55:15,852 - train: [ INFO] - Train: 61 [ 64/65 (100%)] Loss: 0.071838 (0.0524) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (100.0000) Time: 0.757s, 158.55/s LR: 5.292e-04 P_Replacement: 0.008820393653163405 + +2023-08-09 15:55:17,286 - train: [ INFO] - Test: [ 0/7] Time: 1.236 (1.236) Loss: 0.9642 (0.9642) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 90.0000 (90.0000) + +2023-08-09 15:55:19,311 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.408) Loss: 1.7116 (0.8853) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (77.7012)Acc@5: 73.3333 (92.6437) + +2023-08-09 15:55:21,911 - train: [ INFO] - Train: 62 [ 0/65 ( 0%)] Loss: 0.071036 (0.0710) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.224s, 53.96/s LR: 5.273e-04 P_Replacement: 0.008826962962962964 + +2023-08-09 15:55:58,087 - train: [ INFO] - Train: 62 [ 50/65 ( 78%)] Loss: 0.071032 (0.0600) Acc@1: 100.0000 (99.8366) Acc@5: 100.0000 (100.0000) Time: 0.753s, 159.39/s LR: 5.273e-04 P_Replacement: 0.00915960309512972 + +2023-08-09 15:56:08,205 - train: [ INFO] - Train: 62 [ 64/65 (100%)] Loss: 0.049632 (0.0598) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.746s, 160.78/s LR: 5.273e-04 P_Replacement: 0.009254217041285253 + +2023-08-09 15:56:09,579 - train: [ INFO] - Test: [ 0/7] Time: 1.216 (1.216) Loss: 1.0598 (1.0598) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 90.8333 (90.8333) + +2023-08-09 15:56:11,822 - train: [ INFO] - Test: [ 7/7] Time: 0.081 (0.432) Loss: 0.8603 (0.8084) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (78.5058)Acc@5: 93.3333 (93.9081) + +2023-08-09 15:56:13,995 - train: [ INFO] - Train: 63 [ 0/65 ( 0%)] Loss: 0.047421 (0.0474) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.761s, 68.14/s LR: 5.255e-04 P_Replacement: 0.009260999999999998 + +2023-08-09 15:56:50,681 - train: [ INFO] - Train: 63 [ 50/65 ( 78%)] Loss: 0.087051 (0.0684) Acc@1: 99.1667 (99.8039) Acc@5: 100.0000 (100.0000) Time: 0.754s, 159.20/s LR: 5.255e-04 P_Replacement: 0.009604389639070114 + +2023-08-09 15:57:00,815 - train: [ INFO] - Train: 63 [ 64/65 (100%)] Loss: 0.068054 (0.0686) Acc@1: 100.0000 (99.8077) Acc@5: 100.0000 (100.0000) Time: 0.747s, 160.58/s LR: 5.255e-04 P_Replacement: 0.009702037010603683 + +2023-08-09 15:57:02,417 - train: [ INFO] - Test: [ 0/7] Time: 1.345 (1.345) Loss: 0.8969 (0.8969) cLoss: 0.0000 (0.0000) Acc@1: 79.1667 (79.1667)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:57:04,443 - train: [ INFO] - Test: [ 7/7] Time: 0.073 (0.421) Loss: 0.6325 (0.8161) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (78.6207)Acc@5: 93.3333 (92.8736) + +2023-08-09 15:57:06,709 - train: [ INFO] - Train: 64 [ 0/65 ( 0%)] Loss: 0.042904 (0.0429) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.741s, 68.94/s LR: 5.236e-04 P_Replacement: 0.009709037037037039 + +2023-08-09 15:57:43,550 - train: [ INFO] - Train: 64 [ 50/65 ( 78%)] Loss: 0.083908 (0.0656) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.756s, 158.64/s LR: 5.236e-04 P_Replacement: 0.010063347123181443 + +2023-08-09 15:57:53,934 - train: [ INFO] - Train: 64 [ 64/65 (100%)] Loss: 0.084035 (0.0664) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.753s, 159.31/s LR: 5.236e-04 P_Replacement: 0.010164075783340921 + +2023-08-09 15:57:55,249 - train: [ INFO] - Test: [ 0/7] Time: 1.061 (1.061) Loss: 0.8454 (0.8454) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 15:57:57,300 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.389) Loss: 1.2693 (0.9295) cLoss: 0.0000 (0.0000) Acc@1: 63.3333 (75.8621)Acc@5: 86.6667 (91.1494) + +2023-08-09 15:57:59,545 - train: [ INFO] - Train: 65 [ 0/65 ( 0%)] Loss: 0.056956 (0.0570) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.839s, 65.24/s LR: 5.218e-04 P_Replacement: 0.010171296296296298 + +2023-08-09 15:58:35,962 - train: [ INFO] - Train: 65 [ 50/65 ( 78%)] Loss: 0.117760 (0.0873) Acc@1: 100.0000 (99.6732) Acc@5: 100.0000 (100.0000) Time: 0.750s, 159.99/s LR: 5.218e-04 P_Replacement: 0.010536697769685936 + +2023-08-09 15:58:46,084 - train: [ INFO] - Train: 65 [ 64/65 (100%)] Loss: 0.091330 (0.0917) Acc@1: 100.0000 (99.6026) Acc@5: 100.0000 (99.9744) Time: 0.744s, 161.28/s LR: 5.218e-04 P_Replacement: 0.01064055558171918 + +2023-08-09 15:58:47,581 - train: [ INFO] - Test: [ 0/7] Time: 1.146 (1.146) Loss: 0.9031 (0.9031) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 94.1667 (94.1667) + +2023-08-09 15:58:49,572 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.392) Loss: 1.0229 (1.0190) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (73.3333)Acc@5: 90.0000 (90.9195) + +2023-08-09 15:58:51,996 - train: [ INFO] - Train: 66 [ 0/65 ( 0%)] Loss: 0.119844 (0.1198) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.819s, 65.97/s LR: 5.199e-04 P_Replacement: 0.010648 + +2023-08-09 15:59:28,471 - train: [ INFO] - Train: 66 [ 50/65 ( 78%)] Loss: 0.058134 (0.0894) Acc@1: 100.0000 (99.6569) Acc@5: 100.0000 (99.9837) Time: 0.750s, 159.96/s LR: 5.199e-04 P_Replacement: 0.011024663800805811 + +2023-08-09 15:59:38,678 - train: [ INFO] - Train: 66 [ 64/65 (100%)] Loss: 0.050875 (0.0861) Acc@1: 100.0000 (99.7180) Acc@5: 100.0000 (99.9872) Time: 0.746s, 160.94/s LR: 5.199e-04 P_Replacement: 0.011131698627960688 + +2023-08-09 15:59:39,914 - train: [ INFO] - Test: [ 0/7] Time: 0.999 (0.999) Loss: 0.7735 (0.7735) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 91.6667 (91.6667) + +2023-08-09 15:59:42,166 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.406) Loss: 0.3434 (0.9745) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (76.5517)Acc@5: 96.6667 (91.0345) + +2023-08-09 15:59:44,862 - train: [ INFO] - Train: 67 [ 0/65 ( 0%)] Loss: 0.060365 (0.0604) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.183s, 54.98/s LR: 5.179e-04 P_Replacement: 0.011139370370370369 + +2023-08-09 16:00:22,015 - train: [ INFO] - Train: 67 [ 50/65 ( 78%)] Loss: 0.067786 (0.0808) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (100.0000) Time: 0.771s, 155.60/s LR: 5.179e-04 P_Replacement: 0.0115274674387633 + +2023-08-09 16:00:32,112 - train: [ INFO] - Train: 67 [ 64/65 (100%)] Loss: 0.075815 (0.0798) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (100.0000) Time: 0.760s, 157.81/s LR: 5.179e-04 P_Replacement: 0.011637727144287664 + +2023-08-09 16:00:33,696 - train: [ INFO] - Test: [ 0/7] Time: 1.393 (1.393) Loss: 0.8039 (0.8039) cLoss: 0.0000 (0.0000) Acc@1: 78.3333 (78.3333)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:00:35,680 - train: [ INFO] - Test: [ 7/7] Time: 0.079 (0.422) Loss: 0.5151 (0.8159) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (77.9310)Acc@5: 96.6667 (93.6782) + +2023-08-09 16:00:37,829 - train: [ INFO] - Train: 68 [ 0/65 ( 0%)] Loss: 0.074471 (0.0745) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.704s, 70.42/s LR: 5.160e-04 P_Replacement: 0.011645629629629627 + +2023-08-09 16:01:14,509 - train: [ INFO] - Train: 68 [ 50/65 ( 78%)] Loss: 0.061211 (0.0686) Acc@1: 100.0000 (99.7549) Acc@5: 100.0000 (100.0000) Time: 0.753s, 159.45/s LR: 5.160e-04 P_Replacement: 0.012045330905780612 + +2023-08-09 16:01:24,505 - train: [ INFO] - Train: 68 [ 64/65 (100%)] Loss: 0.050856 (0.0655) Acc@1: 100.0000 (99.7564) Acc@5: 100.0000 (100.0000) Time: 0.744s, 161.24/s LR: 5.160e-04 P_Replacement: 0.012158863352922338 + +2023-08-09 16:01:25,670 - train: [ INFO] - Test: [ 0/7] Time: 1.036 (1.036) Loss: 0.6526 (0.6526) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:01:27,617 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.373) Loss: 0.6027 (0.7141) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.0690)Acc@5: 93.3333 (94.4828) + +2023-08-09 16:01:28,036 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-68.pth.tar', 82.06896946347993) + +2023-08-09 16:01:29,961 - train: [ INFO] - Train: 69 [ 0/65 ( 0%)] Loss: 0.047368 (0.0474) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.892s, 63.41/s LR: 5.140e-04 P_Replacement: 0.012167 + +2023-08-09 16:02:06,515 - train: [ INFO] - Train: 69 [ 50/65 ( 78%)] Loss: 0.044125 (0.0534) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.754s, 159.19/s LR: 5.140e-04 P_Replacement: 0.012578476424079974 + +2023-08-09 16:02:16,769 - train: [ INFO] - Train: 69 [ 64/65 (100%)] Loss: 0.056341 (0.0549) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.749s, 160.18/s LR: 5.140e-04 P_Replacement: 0.012695329476086922 + +2023-08-09 16:02:17,955 - train: [ INFO] - Test: [ 0/7] Time: 0.992 (0.992) Loss: 1.0351 (1.0351) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 91.6667 (91.6667) + +2023-08-09 16:02:20,094 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.391) Loss: 0.2647 (0.8726) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (78.3908)Acc@5: 96.6667 (92.4138) + +2023-08-09 16:02:22,270 - train: [ INFO] - Train: 70 [ 0/65 ( 0%)] Loss: 0.050778 (0.0508) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.757s, 68.30/s LR: 5.120e-04 P_Replacement: 0.012703703703703705 + +2023-08-09 16:02:58,998 - train: [ INFO] - Train: 70 [ 50/65 ( 78%)] Loss: 0.046854 (0.0574) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.755s, 159.04/s LR: 5.120e-04 P_Replacement: 0.01312712621588361 + +2023-08-09 16:03:09,380 - train: [ INFO] - Train: 70 [ 64/65 (100%)] Loss: 0.051666 (0.0564) Acc@1: 99.1667 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.752s, 159.65/s LR: 5.120e-04 P_Replacement: 0.013247347736003641 + +2023-08-09 16:03:10,587 - train: [ INFO] - Test: [ 0/7] Time: 1.071 (1.071) Loss: 0.8690 (0.8690) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:03:12,745 - train: [ INFO] - Test: [ 7/7] Time: 0.085 (0.404) Loss: 0.6981 (0.7460) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.3793)Acc@5: 96.6667 (93.5632) + +2023-08-09 16:03:15,337 - train: [ INFO] - Train: 71 [ 0/65 ( 0%)] Loss: 0.110637 (0.1106) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.952s, 61.48/s LR: 5.099e-04 P_Replacement: 0.013255962962962962 + +2023-08-09 16:03:52,112 - train: [ INFO] - Train: 71 [ 50/65 ( 78%)] Loss: 0.043255 (0.0591) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (99.9837) Time: 0.759s, 158.05/s LR: 5.099e-04 P_Replacement: 0.013691502503413744 + +2023-08-09 16:04:02,175 - train: [ INFO] - Train: 71 [ 64/65 (100%)] Loss: 0.035167 (0.0570) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (99.9872) Time: 0.751s, 159.89/s LR: 5.099e-04 P_Replacement: 0.013815140354894721 + +2023-08-09 16:04:03,458 - train: [ INFO] - Test: [ 0/7] Time: 1.136 (1.136) Loss: 1.1397 (1.1397) cLoss: 0.0000 (0.0000) Acc@1: 70.8333 (70.8333)Acc@5: 89.1667 (89.1667) + +2023-08-09 16:04:05,614 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.412) Loss: 0.2563 (0.7705) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (80.8046)Acc@5: 96.6667 (93.1035) + +2023-08-09 16:04:07,846 - train: [ INFO] - Train: 72 [ 0/65 ( 0%)] Loss: 0.041437 (0.0414) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.819s, 65.97/s LR: 5.079e-04 P_Replacement: 0.013823999999999998 + +2023-08-09 16:04:44,169 - train: [ INFO] - Train: 72 [ 50/65 ( 78%)] Loss: 0.040212 (0.0570) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.748s, 160.48/s LR: 5.079e-04 P_Replacement: 0.014271827508892599 + +2023-08-09 16:04:54,479 - train: [ INFO] - Train: 72 [ 64/65 (100%)] Loss: 0.039407 (0.0553) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.745s, 161.02/s LR: 5.079e-04 P_Replacement: 0.01439892955498238 + +2023-08-09 16:04:55,975 - train: [ INFO] - Test: [ 0/7] Time: 1.118 (1.118) Loss: 0.9868 (0.9868) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 90.0000 (90.0000) + +2023-08-09 16:04:58,004 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.393) Loss: 0.3168 (0.7130) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.2989)Acc@5: 100.0000 (94.1379) + +2023-08-09 16:04:58,386 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-72.pth.tar', 82.29885706408271) + +2023-08-09 16:05:00,439 - train: [ INFO] - Train: 73 [ 0/65 ( 0%)] Loss: 0.051846 (0.0518) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.036s, 58.94/s LR: 5.058e-04 P_Replacement: 0.014408037037037039 + +2023-08-09 16:05:37,139 - train: [ INFO] - Train: 73 [ 50/65 ( 78%)] Loss: 0.046278 (0.0476) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.759s, 158.00/s LR: 5.058e-04 P_Replacement: 0.01486832345454239 + +2023-08-09 16:05:47,500 - train: [ INFO] - Train: 73 [ 64/65 (100%)] Loss: 0.046932 (0.0491) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.755s, 158.88/s LR: 5.058e-04 P_Replacement: 0.014998937558488851 + +2023-08-09 16:05:48,763 - train: [ INFO] - Test: [ 0/7] Time: 1.104 (1.104) Loss: 0.7175 (0.7175) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:05:50,856 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.400) Loss: 1.0117 (0.7958) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (79.5402)Acc@5: 90.0000 (92.9885) + +2023-08-09 16:05:53,239 - train: [ INFO] - Train: 74 [ 0/65 ( 0%)] Loss: 0.123269 (0.1233) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.979s, 60.64/s LR: 5.037e-04 P_Replacement: 0.015008296296296297 + +2023-08-09 16:06:30,131 - train: [ INFO] - Train: 74 [ 50/65 ( 78%)] Loss: 0.036155 (0.0540) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.762s, 157.47/s LR: 5.037e-04 P_Replacement: 0.015481212562585342 + +2023-08-09 16:06:40,667 - train: [ INFO] - Train: 74 [ 64/65 (100%)] Loss: 0.039818 (0.0541) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.760s, 157.92/s LR: 5.037e-04 P_Replacement: 0.015615386587636339 + +2023-08-09 16:06:42,024 - train: [ INFO] - Test: [ 0/7] Time: 1.217 (1.217) Loss: 0.9859 (0.9859) cLoss: 0.0000 (0.0000) Acc@1: 75.8333 (75.8333)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:06:44,096 - train: [ INFO] - Test: [ 7/7] Time: 0.103 (0.411) Loss: 0.7783 (0.8257) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (77.8161)Acc@5: 90.0000 (93.6782) + +2023-08-09 16:06:46,531 - train: [ INFO] - Train: 75 [ 0/65 ( 0%)] Loss: 0.048492 (0.0485) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.901s, 63.14/s LR: 5.016e-04 P_Replacement: 0.015625 + +2023-08-09 16:07:23,311 - train: [ INFO] - Train: 75 [ 50/65 ( 78%)] Loss: 0.035033 (0.0505) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.758s, 158.23/s LR: 5.016e-04 P_Replacement: 0.01611071705524368 + +2023-08-09 16:07:33,667 - train: [ INFO] - Train: 75 [ 64/65 (100%)] Loss: 0.045551 (0.0494) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (100.0000) Time: 0.754s, 159.11/s LR: 5.016e-04 P_Replacement: 0.016248498864647076 + +2023-08-09 16:07:35,203 - train: [ INFO] - Test: [ 0/7] Time: 1.338 (1.338) Loss: 0.4815 (0.4815) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:07:37,231 - train: [ INFO] - Test: [ 7/7] Time: 0.076 (0.421) Loss: 0.7826 (0.7591) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.3448)Acc@5: 96.6667 (93.9081) + +2023-08-09 16:07:39,545 - train: [ INFO] - Train: 76 [ 0/65 ( 0%)] Loss: 0.041042 (0.0410) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.868s, 64.23/s LR: 4.994e-04 P_Replacement: 0.016258370370370374 + +2023-08-09 16:08:16,599 - train: [ INFO] - Train: 76 [ 50/65 ( 78%)] Loss: 0.056294 (0.0481) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.763s, 157.25/s LR: 4.994e-04 P_Replacement: 0.016757059154739632 + +2023-08-09 16:08:27,218 - train: [ INFO] - Train: 76 [ 64/65 (100%)] Loss: 0.036316 (0.0469) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.762s, 157.46/s LR: 4.994e-04 P_Replacement: 0.01689849661174329 + +2023-08-09 16:08:28,639 - train: [ INFO] - Test: [ 0/7] Time: 1.271 (1.271) Loss: 0.5516 (0.5516) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:08:30,801 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.429) Loss: 0.5628 (0.7057) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.9540)Acc@5: 96.6667 (94.2529) + +2023-08-09 16:08:33,099 - train: [ INFO] - Train: 77 [ 0/65 ( 0%)] Loss: 0.031490 (0.0315) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.908s, 62.88/s LR: 4.973e-04 P_Replacement: 0.016908629629629628 + +2023-08-09 16:09:09,863 - train: [ INFO] - Train: 77 [ 50/65 ( 78%)] Loss: 0.038515 (0.0531) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.758s, 158.26/s LR: 4.973e-04 P_Replacement: 0.0174204610832954 + +2023-08-09 16:09:20,496 - train: [ INFO] - Train: 77 [ 64/65 (100%)] Loss: 0.063527 (0.0536) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.758s, 158.22/s LR: 4.973e-04 P_Replacement: 0.017565602051147183 + +2023-08-09 16:09:21,832 - train: [ INFO] - Test: [ 0/7] Time: 1.119 (1.119) Loss: 0.8811 (0.8811) cLoss: 0.0000 (0.0000) Acc@1: 77.5000 (77.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:09:23,771 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.382) Loss: 1.0080 (0.7902) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (79.0805)Acc@5: 86.6667 (93.6782) + +2023-08-09 16:09:26,294 - train: [ INFO] - Train: 78 [ 0/65 ( 0%)] Loss: 0.065886 (0.0659) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.082s, 57.63/s LR: 4.951e-04 P_Replacement: 0.017576 + +2023-08-09 16:10:03,286 - train: [ INFO] - Train: 78 [ 50/65 ( 78%)] Loss: 0.060992 (0.0575) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.766s, 156.64/s LR: 4.951e-04 P_Replacement: 0.01810114506313323 + +2023-08-09 16:10:13,479 - train: [ INFO] - Train: 78 [ 64/65 (100%)] Loss: 0.075855 (0.0636) Acc@1: 98.3333 (99.8333) Acc@5: 100.0000 (99.9744) Time: 0.758s, 158.33/s LR: 4.951e-04 P_Replacement: 0.018250037405081004 + +2023-08-09 16:10:14,807 - train: [ INFO] - Test: [ 0/7] Time: 1.118 (1.118) Loss: 0.6959 (0.6959) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 90.8333 (90.8333) + +2023-08-09 16:10:17,007 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.415) Loss: 0.6474 (0.8684) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (77.5862)Acc@5: 100.0000 (93.2184) + +2023-08-09 16:10:19,320 - train: [ INFO] - Train: 79 [ 0/65 ( 0%)] Loss: 0.083899 (0.0839) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.936s, 61.98/s LR: 4.929e-04 P_Replacement: 0.0182607037037037 + +2023-08-09 16:10:56,577 - train: [ INFO] - Train: 79 [ 50/65 ( 78%)] Loss: 0.060707 (0.0703) Acc@1: 100.0000 (99.7712) Acc@5: 100.0000 (99.9673) Time: 0.768s, 156.21/s LR: 4.929e-04 P_Replacement: 0.018799333316475333 + +2023-08-09 16:11:06,915 - train: [ INFO] - Train: 79 [ 64/65 (100%)] Loss: 0.048087 (0.0657) Acc@1: 100.0000 (99.8077) Acc@5: 100.0000 (99.9744) Time: 0.762s, 157.53/s LR: 4.929e-04 P_Replacement: 0.018952024895766962 + +2023-08-09 16:11:08,161 - train: [ INFO] - Test: [ 0/7] Time: 1.047 (1.047) Loss: 1.0754 (1.0754) cLoss: 0.0000 (0.0000) Acc@1: 74.1667 (74.1667)Acc@5: 89.1667 (89.1667) + +2023-08-09 16:11:10,246 - train: [ INFO] - Test: [ 7/7] Time: 0.079 (0.392) Loss: 0.9951 (0.7536) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (79.7701)Acc@5: 90.0000 (93.4483) + +2023-08-09 16:11:12,358 - train: [ INFO] - Train: 80 [ 0/65 ( 0%)] Loss: 0.037256 (0.0373) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.716s, 69.92/s LR: 4.907e-04 P_Replacement: 0.018962962962962963 + +2023-08-09 16:11:49,309 - train: [ INFO] - Train: 80 [ 50/65 ( 78%)] Loss: 0.059332 (0.0533) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.758s, 158.29/s LR: 4.907e-04 P_Replacement: 0.01951524806554392 + +2023-08-09 16:11:59,376 - train: [ INFO] - Train: 80 [ 64/65 (100%)] Loss: 0.039533 (0.0551) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.750s, 160.07/s LR: 4.907e-04 P_Replacement: 0.019671786745427265 + +2023-08-09 16:12:00,571 - train: [ INFO] - Test: [ 0/7] Time: 1.000 (1.000) Loss: 0.6166 (0.6166) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:12:02,628 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.382) Loss: 0.5732 (0.7584) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (81.3793)Acc@5: 90.0000 (94.4828) + +2023-08-09 16:12:04,993 - train: [ INFO] - Train: 81 [ 0/65 ( 0%)] Loss: 0.046454 (0.0465) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.908s, 62.90/s LR: 4.884e-04 P_Replacement: 0.019683000000000003 + +2023-08-09 16:12:42,661 - train: [ INFO] - Train: 81 [ 50/65 ( 78%)] Loss: 0.094694 (0.0648) Acc@1: 100.0000 (99.7712) Acc@5: 100.0000 (100.0000) Time: 0.776s, 154.66/s LR: 4.884e-04 P_Replacement: 0.02024911153256124 + +2023-08-09 16:12:53,224 - train: [ INFO] - Train: 81 [ 64/65 (100%)] Loss: 0.071841 (0.0659) Acc@1: 100.0000 (99.7821) Acc@5: 100.0000 (100.0000) Time: 0.771s, 155.59/s LR: 4.884e-04 P_Replacement: 0.020409545176284162 + +2023-08-09 16:12:54,512 - train: [ INFO] - Test: [ 0/7] Time: 1.057 (1.057) Loss: 0.5825 (0.5825) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:12:56,591 - train: [ INFO] - Test: [ 7/7] Time: 0.079 (0.392) Loss: 1.1460 (0.8389) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (80.9195)Acc@5: 93.3333 (92.7586) + +2023-08-09 16:12:59,041 - train: [ INFO] - Train: 82 [ 0/65 ( 0%)] Loss: 0.047919 (0.0479) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.976s, 60.72/s LR: 4.861e-04 P_Replacement: 0.020421037037037033 + +2023-08-09 16:13:36,557 - train: [ INFO] - Train: 82 [ 50/65 ( 78%)] Loss: 0.044227 (0.0592) Acc@1: 100.0000 (99.8203) Acc@5: 100.0000 (99.9837) Time: 0.774s, 154.98/s LR: 4.861e-04 P_Replacement: 0.021001145939749485 + +2023-08-09 16:13:46,683 - train: [ INFO] - Train: 82 [ 64/65 (100%)] Loss: 0.038239 (0.0559) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (99.9872) Time: 0.763s, 157.22/s LR: 4.861e-04 P_Replacement: 0.02116552241055985 + +2023-08-09 16:13:48,176 - train: [ INFO] - Test: [ 0/7] Time: 1.115 (1.115) Loss: 0.6723 (0.6723) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:13:50,301 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.405) Loss: 0.2530 (0.7242) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (82.2989)Acc@5: 100.0000 (94.4828) + +2023-08-09 16:13:52,689 - train: [ INFO] - Train: 83 [ 0/65 ( 0%)] Loss: 0.038241 (0.0382) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.975s, 60.76/s LR: 4.838e-04 P_Replacement: 0.021177296296296298 + +2023-08-09 16:14:29,655 - train: [ INFO] - Train: 83 [ 50/65 ( 78%)] Loss: 0.046650 (0.0475) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.763s, 157.17/s LR: 4.838e-04 P_Replacement: 0.021771573509330906 + +2023-08-09 16:14:39,779 - train: [ INFO] - Train: 83 [ 64/65 (100%)] Loss: 0.055156 (0.0480) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.755s, 158.99/s LR: 4.838e-04 P_Replacement: 0.021939940670476575 + +2023-08-09 16:14:41,323 - train: [ INFO] - Test: [ 0/7] Time: 1.194 (1.194) Loss: 0.6253 (0.6253) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:14:43,307 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.397) Loss: 1.5124 (0.7777) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (81.9540)Acc@5: 83.3333 (93.6782) + +2023-08-09 16:14:45,686 - train: [ INFO] - Train: 84 [ 0/65 ( 0%)] Loss: 0.039958 (0.0400) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.001s, 59.98/s LR: 4.815e-04 P_Replacement: 0.021952000000000006 + +2023-08-09 16:15:22,860 - train: [ INFO] - Train: 84 [ 50/65 ( 78%)] Loss: 0.036071 (0.0541) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.768s, 156.23/s LR: 4.815e-04 P_Replacement: 0.02256061646352771 + +2023-08-09 16:15:33,181 - train: [ INFO] - Train: 84 [ 64/65 (100%)] Loss: 0.056895 (0.0568) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.761s, 157.60/s LR: 4.815e-04 P_Replacement: 0.02273302217825655 + +2023-08-09 16:15:34,388 - train: [ INFO] - Test: [ 0/7] Time: 1.007 (1.007) Loss: 0.6952 (0.6952) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:15:36,527 - train: [ INFO] - Test: [ 7/7] Time: 0.168 (0.393) Loss: 0.3444 (0.7236) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (81.6092)Acc@5: 100.0000 (95.0575) + +2023-08-09 16:15:39,051 - train: [ INFO] - Train: 85 [ 0/65 ( 0%)] Loss: 0.054508 (0.0545) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.152s, 55.77/s LR: 4.792e-04 P_Replacement: 0.022745370370370367 + +2023-08-09 16:16:15,969 - train: [ INFO] - Train: 85 [ 50/65 ( 78%)] Loss: 0.065001 (0.0557) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.766s, 156.65/s LR: 4.792e-04 P_Replacement: 0.023368497024562108 + +2023-08-09 16:16:26,296 - train: [ INFO] - Train: 85 [ 64/65 (100%)] Loss: 0.037773 (0.0532) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.760s, 157.92/s LR: 4.792e-04 P_Replacement: 0.023544989156121982 + +2023-08-09 16:16:27,687 - train: [ INFO] - Test: [ 0/7] Time: 1.174 (1.174) Loss: 0.9922 (0.9922) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-09 16:16:29,888 - train: [ INFO] - Test: [ 7/7] Time: 0.180 (0.422) Loss: 0.4060 (0.6578) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.9885)Acc@5: 96.6667 (95.0575) + +2023-08-09 16:16:30,336 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-85.pth.tar', 82.9885122364965) + +2023-08-09 16:16:32,304 - train: [ INFO] - Train: 86 [ 0/65 ( 0%)] Loss: 0.043595 (0.0436) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.944s, 61.71/s LR: 4.768e-04 P_Replacement: 0.023557629629629633 + +2023-08-09 16:17:10,634 - train: [ INFO] - Train: 86 [ 50/65 ( 78%)] Loss: 0.038775 (0.0489) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.790s, 151.97/s LR: 4.768e-04 P_Replacement: 0.02419543741465635 + +2023-08-09 16:17:21,093 - train: [ INFO] - Train: 86 [ 64/65 (100%)] Loss: 0.038208 (0.0484) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.780s, 153.76/s LR: 4.768e-04 P_Replacement: 0.02437606382629512 + +2023-08-09 16:17:22,558 - train: [ INFO] - Test: [ 0/7] Time: 1.261 (1.261) Loss: 0.4993 (0.4993) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:17:24,494 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.400) Loss: 0.8032 (0.6395) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 90.0000 (95.2874) + +2023-08-09 16:17:24,878 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-86.pth.tar', 83.33333798112541) + +2023-08-09 16:17:26,870 - train: [ INFO] - Train: 87 [ 0/65 ( 0%)] Loss: 0.071651 (0.0717) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.972s, 60.85/s LR: 4.745e-04 P_Replacement: 0.024388999999999994 + +2023-08-09 16:18:04,172 - train: [ INFO] - Train: 87 [ 50/65 ( 78%)] Loss: 0.049681 (0.0478) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.770s, 155.86/s LR: 4.745e-04 P_Replacement: 0.025041659856032645 + +2023-08-09 16:18:14,658 - train: [ INFO] - Train: 87 [ 64/65 (100%)] Loss: 0.052522 (0.0466) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.765s, 156.78/s LR: 4.745e-04 P_Replacement: 0.025226468410998158 + +2023-08-09 16:18:15,823 - train: [ INFO] - Test: [ 0/7] Time: 1.010 (1.010) Loss: 0.6548 (0.6548) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:18:18,030 - train: [ INFO] - Test: [ 7/7] Time: 0.131 (0.402) Loss: 0.6151 (0.6274) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.2184)Acc@5: 100.0000 (96.0920) + +2023-08-09 16:18:20,264 - train: [ INFO] - Train: 88 [ 0/65 ( 0%)] Loss: 0.044979 (0.0450) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.747s, 68.68/s LR: 4.721e-04 P_Replacement: 0.025239703703703705 + +2023-08-09 16:18:58,333 - train: [ INFO] - Train: 88 [ 50/65 ( 78%)] Loss: 0.030719 (0.0443) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.781s, 153.71/s LR: 4.721e-04 P_Replacement: 0.025907386570913196 + +2023-08-09 16:19:08,948 - train: [ INFO] - Train: 88 [ 64/65 (100%)] Loss: 0.035677 (0.0436) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.776s, 154.68/s LR: 4.721e-04 P_Replacement: 0.026096425132453346 + +2023-08-09 16:19:10,274 - train: [ INFO] - Test: [ 0/7] Time: 1.099 (1.099) Loss: 0.5225 (0.5225) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:19:12,340 - train: [ INFO] - Test: [ 7/7] Time: 0.178 (0.396) Loss: 0.2630 (0.6290) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (83.1035)Acc@5: 96.6667 (95.7471) + +2023-08-09 16:19:14,564 - train: [ INFO] - Train: 89 [ 0/65 ( 0%)] Loss: 0.032740 (0.0327) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.750s, 68.58/s LR: 4.697e-04 P_Replacement: 0.02610996296296297 + +2023-08-09 16:19:51,854 - train: [ INFO] - Train: 89 [ 50/65 ( 78%)] Loss: 0.032569 (0.0477) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.765s, 156.78/s LR: 4.697e-04 P_Replacement: 0.026792839781520257 + +2023-08-09 16:20:02,141 - train: [ INFO] - Train: 89 [ 64/65 (100%)] Loss: 0.036602 (0.0463) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.759s, 158.15/s LR: 4.697e-04 P_Replacement: 0.026986156212882893 + +2023-08-09 16:20:03,418 - train: [ INFO] - Test: [ 0/7] Time: 1.114 (1.114) Loss: 0.8417 (0.8417) cLoss: 0.0000 (0.0000) Acc@1: 75.0000 (75.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:20:05,468 - train: [ INFO] - Test: [ 7/7] Time: 0.150 (0.396) Loss: 1.8146 (0.8360) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (78.3908)Acc@5: 90.0000 (94.4828) + +2023-08-09 16:20:07,761 - train: [ INFO] - Train: 90 [ 0/65 ( 0%)] Loss: 0.046531 (0.0465) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.869s, 64.21/s LR: 4.672e-04 P_Replacement: 0.026999999999999996 + +2023-08-09 16:20:44,889 - train: [ INFO] - Train: 90 [ 50/65 ( 78%)] Loss: 0.035996 (0.0457) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.765s, 156.94/s LR: 4.672e-04 P_Replacement: 0.027698241710076024 + +2023-08-09 16:20:55,653 - train: [ INFO] - Train: 90 [ 64/65 (100%)] Loss: 0.061385 (0.0480) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.766s, 156.76/s LR: 4.672e-04 P_Replacement: 0.027895883874509007 + +2023-08-09 16:20:57,130 - train: [ INFO] - Test: [ 0/7] Time: 1.214 (1.214) Loss: 0.8796 (0.8796) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 91.6667 (91.6667) + +2023-08-09 16:20:59,118 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.400) Loss: 0.9972 (0.7499) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (81.1494)Acc@5: 86.6667 (93.6782) + +2023-08-09 16:21:01,353 - train: [ INFO] - Train: 91 [ 0/65 ( 0%)] Loss: 0.037832 (0.0378) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.920s, 62.50/s LR: 4.648e-04 P_Replacement: 0.02791003703703704 + +2023-08-09 16:21:37,599 - train: [ INFO] - Train: 91 [ 50/65 ( 78%)] Loss: 0.044509 (0.0484) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.748s, 160.36/s LR: 4.648e-04 P_Replacement: 0.028623814578802746 + +2023-08-09 16:21:48,239 - train: [ INFO] - Train: 91 [ 64/65 (100%)] Loss: 0.028620 (0.0479) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.751s, 159.83/s LR: 4.648e-04 P_Replacement: 0.02882583033955394 + +2023-08-09 16:21:49,678 - train: [ INFO] - Test: [ 0/7] Time: 1.283 (1.283) Loss: 0.6057 (0.6057) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:21:51,568 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.397) Loss: 0.4041 (0.6775) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.0690)Acc@5: 96.6667 (94.7126) + +2023-08-09 16:21:53,626 - train: [ INFO] - Train: 92 [ 0/65 ( 0%)] Loss: 0.044377 (0.0444) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.702s, 70.52/s LR: 4.623e-04 P_Replacement: 0.02884029629629629 + +2023-08-09 16:22:30,669 - train: [ INFO] - Train: 92 [ 50/65 ( 78%)] Loss: 0.063565 (0.0448) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.760s, 157.97/s LR: 4.623e-04 P_Replacement: 0.029569780609922627 + +2023-08-09 16:22:41,098 - train: [ INFO] - Train: 92 [ 64/65 (100%)] Loss: 0.037624 (0.0444) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.756s, 158.64/s LR: 4.623e-04 P_Replacement: 0.02977621783023988 + +2023-08-09 16:22:42,240 - train: [ INFO] - Test: [ 0/7] Time: 0.995 (0.995) Loss: 0.4642 (0.4642) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:22:44,384 - train: [ INFO] - Test: [ 7/7] Time: 0.093 (0.392) Loss: 0.6993 (0.6037) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (84.5977)Acc@5: 96.6667 (95.8621) + +2023-08-09 16:22:44,825 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-92.pth.tar', 84.59770728801858) + +2023-08-09 16:22:46,711 - train: [ INFO] - Train: 93 [ 0/65 ( 0%)] Loss: 0.031027 (0.0310) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.856s, 64.65/s LR: 4.598e-04 P_Replacement: 0.029790999999999998 + +2023-08-09 16:23:24,390 - train: [ INFO] - Train: 93 [ 50/65 ( 78%)] Loss: 0.041953 (0.0450) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (99.9837) Time: 0.775s, 154.81/s LR: 4.598e-04 P_Replacement: 0.03053636202565788 + +2023-08-09 16:23:34,997 - train: [ INFO] - Train: 93 [ 64/65 (100%)] Loss: 0.103519 (0.0477) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (99.9872) Time: 0.771s, 155.57/s LR: 4.598e-04 P_Replacement: 0.030747268568789086 + +2023-08-09 16:23:36,358 - train: [ INFO] - Test: [ 0/7] Time: 1.077 (1.077) Loss: 0.3352 (0.3352) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 99.1667 (99.1667) + +2023-08-09 16:23:38,402 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.390) Loss: 0.6464 (0.6688) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.1035)Acc@5: 96.6667 (95.2874) + +2023-08-09 16:23:40,777 - train: [ INFO] - Train: 94 [ 0/65 ( 0%)] Loss: 0.043555 (0.0436) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.046s, 58.65/s LR: 4.573e-04 P_Replacement: 0.030762370370370377 + +2023-08-09 16:24:18,125 - train: [ INFO] - Train: 94 [ 50/65 ( 78%)] Loss: 0.085785 (0.0761) Acc@1: 100.0000 (99.8366) Acc@5: 100.0000 (100.0000) Time: 0.772s, 155.37/s LR: 4.573e-04 P_Replacement: 0.03152378104823075 + +2023-08-09 16:24:28,792 - train: [ INFO] - Train: 94 [ 64/65 (100%)] Loss: 0.082895 (0.0727) Acc@1: 100.0000 (99.8333) Acc@5: 100.0000 (100.0000) Time: 0.770s, 155.82/s LR: 4.573e-04 P_Replacement: 0.031739204777423764 + +2023-08-09 16:24:30,179 - train: [ INFO] - Test: [ 0/7] Time: 1.084 (1.084) Loss: 0.9681 (0.9681) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (73.3333)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:24:32,227 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.391) Loss: 0.4100 (0.7925) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (79.0805)Acc@5: 100.0000 (94.2529) + +2023-08-09 16:24:34,532 - train: [ INFO] - Train: 95 [ 0/65 ( 0%)] Loss: 0.075014 (0.0750) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.976s, 60.73/s LR: 4.548e-04 P_Replacement: 0.031754629629629626 + +2023-08-09 16:25:12,690 - train: [ INFO] - Train: 95 [ 50/65 ( 78%)] Loss: 0.064823 (0.0538) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.787s, 152.50/s LR: 4.548e-04 P_Replacement: 0.03253225989986344 + +2023-08-09 16:25:22,935 - train: [ INFO] - Train: 95 [ 64/65 (100%)] Loss: 0.053786 (0.0539) Acc@1: 99.1667 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.775s, 154.84/s LR: 4.548e-04 P_Replacement: 0.03275224867836612 + +2023-08-09 16:25:24,143 - train: [ INFO] - Test: [ 0/7] Time: 1.055 (1.055) Loss: 0.7022 (0.7022) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:25:26,278 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.399) Loss: 0.5927 (0.7203) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (81.1494)Acc@5: 96.6667 (95.4023) + +2023-08-09 16:25:28,451 - train: [ INFO] - Train: 96 [ 0/65 ( 0%)] Loss: 0.043284 (0.0433) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.766s, 67.95/s LR: 4.523e-04 P_Replacement: 0.032768000000000005 + +2023-08-09 16:26:06,042 - train: [ INFO] - Train: 96 [ 50/65 ( 78%)] Loss: 0.056975 (0.0565) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (99.9837) Time: 0.772s, 155.51/s LR: 4.523e-04 P_Replacement: 0.033562020802778196 + +2023-08-09 16:26:16,802 - train: [ INFO] - Train: 96 [ 64/65 (100%)] Loss: 0.046025 (0.0583) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (99.9872) Time: 0.771s, 155.64/s LR: 4.523e-04 P_Replacement: 0.0337866224938384 + +2023-08-09 16:26:18,288 - train: [ INFO] - Test: [ 0/7] Time: 1.306 (1.306) Loss: 0.4174 (0.4174) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:26:20,108 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.391) Loss: 0.5476 (0.7117) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.9885)Acc@5: 96.6667 (94.3678) + +2023-08-09 16:26:22,477 - train: [ INFO] - Train: 97 [ 0/65 ( 0%)] Loss: 0.054587 (0.0546) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 2.058s, 58.32/s LR: 4.497e-04 P_Replacement: 0.033802703703703696 + +2023-08-09 16:27:00,000 - train: [ INFO] - Train: 97 [ 50/65 ( 78%)] Loss: 0.078123 (0.0546) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.776s, 154.62/s LR: 4.497e-04 P_Replacement: 0.03461328597919723 + +2023-08-09 16:27:10,606 - train: [ INFO] - Train: 97 [ 64/65 (100%)] Loss: 0.035593 (0.0525) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.772s, 155.43/s LR: 4.497e-04 P_Replacement: 0.03484254844606282 + +2023-08-09 16:27:11,886 - train: [ INFO] - Test: [ 0/7] Time: 1.135 (1.135) Loss: 0.6177 (0.6177) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:27:13,872 - train: [ INFO] - Test: [ 7/7] Time: 0.079 (0.390) Loss: 0.8064 (0.6837) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (82.7586)Acc@5: 93.3333 (95.4023) + +2023-08-09 16:27:16,350 - train: [ INFO] - Train: 98 [ 0/65 ( 0%)] Loss: 0.060610 (0.0606) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.957s, 61.32/s LR: 4.471e-04 P_Replacement: 0.03485896296296296 + +2023-08-09 16:27:53,844 - train: [ INFO] - Train: 98 [ 50/65 ( 78%)] Loss: 0.057506 (0.0456) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.773s, 155.14/s LR: 4.471e-04 P_Replacement: 0.03568627765134273 + +2023-08-09 16:28:04,261 - train: [ INFO] - Train: 98 [ 64/65 (100%)] Loss: 0.037749 (0.0443) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.767s, 156.43/s LR: 4.471e-04 P_Replacement: 0.03592024875726158 + +2023-08-09 16:28:05,647 - train: [ INFO] - Test: [ 0/7] Time: 1.248 (1.248) Loss: 0.5086 (0.5086) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:28:07,774 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.422) Loss: 0.6633 (0.6810) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.8736)Acc@5: 96.6667 (94.4828) + +2023-08-09 16:28:09,987 - train: [ INFO] - Train: 99 [ 0/65 ( 0%)] Loss: 0.033553 (0.0336) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.899s, 63.20/s LR: 4.446e-04 P_Replacement: 0.035937000000000004 + +2023-08-09 16:28:47,763 - train: [ INFO] - Train: 99 [ 50/65 ( 78%)] Loss: 0.034346 (0.0438) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.778s, 154.29/s LR: 4.446e-04 P_Replacement: 0.036781218041436976 + +2023-08-09 16:28:58,854 - train: [ INFO] - Train: 99 [ 64/65 (100%)] Loss: 0.048419 (0.0462) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.781s, 153.68/s LR: 4.446e-04 P_Replacement: 0.037019945649656945 + +2023-08-09 16:29:00,123 - train: [ INFO] - Test: [ 0/7] Time: 1.064 (1.064) Loss: 0.5615 (0.5615) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:29:02,289 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.404) Loss: 0.5109 (0.7632) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.0690)Acc@5: 96.6667 (94.0230) + +2023-08-09 16:29:04,588 - train: [ INFO] - Train: 100 [ 0/65 ( 0%)] Loss: 0.046020 (0.0460) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.804s, 66.51/s LR: 4.420e-04 P_Replacement: 0.03703703703703703 + +2023-08-09 16:29:42,158 - train: [ INFO] - Train: 100 [ 50/65 ( 78%)] Loss: 0.030189 (0.0430) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.772s, 155.50/s LR: 4.420e-04 P_Replacement: 0.03789832937170214 + +2023-08-09 16:29:52,534 - train: [ INFO] - Train: 100 [ 64/65 (100%)] Loss: 0.028197 (0.0431) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.765s, 156.84/s LR: 4.420e-04 P_Replacement: 0.03814186134547109 + +2023-08-09 16:29:53,989 - train: [ INFO] - Test: [ 0/7] Time: 1.262 (1.262) Loss: 0.6077 (0.6077) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:29:56,410 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.460) Loss: 0.4840 (0.5401) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (84.8276)Acc@5: 96.6667 (96.5517) + +2023-08-09 16:29:56,910 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-100.pth.tar', 84.8275901531351) + +2023-08-09 16:29:58,908 - train: [ INFO] - Train: 101 [ 0/65 ( 0%)] Loss: 0.047415 (0.0474) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.982s, 60.55/s LR: 4.393e-04 P_Replacement: 0.038159296296296295 + +2023-08-09 16:30:35,938 - train: [ INFO] - Train: 101 [ 50/65 ( 78%)] Loss: 0.036417 (0.0397) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.765s, 156.89/s LR: 4.393e-04 P_Replacement: 0.03903783386436049 + +2023-08-09 16:30:46,766 - train: [ INFO] - Train: 101 [ 64/65 (100%)] Loss: 0.040795 (0.0386) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.767s, 156.51/s LR: 4.393e-04 P_Replacement: 0.03928621806692628 + +2023-08-09 16:30:48,262 - train: [ INFO] - Test: [ 0/7] Time: 1.279 (1.279) Loss: 0.4930 (0.4930) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:30:50,225 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.405) Loss: 0.2590 (0.5899) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (84.2529)Acc@5: 100.0000 (96.0920) + +2023-08-09 16:30:52,609 - train: [ INFO] - Train: 102 [ 0/65 ( 0%)] Loss: 0.028176 (0.0282) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.998s, 60.05/s LR: 4.367e-04 P_Replacement: 0.039304000000000006 + +2023-08-09 16:31:30,316 - train: [ INFO] - Train: 102 [ 50/65 ( 78%)] Loss: 0.031390 (0.0360) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.778s, 154.15/s LR: 4.367e-04 P_Replacement: 0.04019995374163422 + +2023-08-09 16:31:40,801 - train: [ INFO] - Train: 102 [ 64/65 (100%)] Loss: 0.036469 (0.0350) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.772s, 155.42/s LR: 4.367e-04 P_Replacement: 0.04045323803624472 + +2023-08-09 16:31:42,062 - train: [ INFO] - Test: [ 0/7] Time: 1.053 (1.053) Loss: 0.7882 (0.7882) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:31:44,362 - train: [ INFO] - Test: [ 7/7] Time: 0.081 (0.419) Loss: 0.2385 (0.5494) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (85.9770)Acc@5: 100.0000 (96.5517) + +2023-08-09 16:31:44,742 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-102.pth.tar', 85.97701579126819) + +2023-08-09 16:31:46,952 - train: [ INFO] - Train: 103 [ 0/65 ( 0%)] Loss: 0.032981 (0.0330) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.191s, 54.77/s LR: 4.340e-04 P_Replacement: 0.040471370370370366 + +2023-08-09 16:32:25,320 - train: [ INFO] - Train: 103 [ 50/65 ( 78%)] Loss: 0.036021 (0.0391) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.795s, 150.90/s LR: 4.340e-04 P_Replacement: 0.04138491122574554 + +2023-08-09 16:32:35,690 - train: [ INFO] - Train: 103 [ 64/65 (100%)] Loss: 0.032039 (0.0393) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.783s, 153.16/s LR: 4.340e-04 P_Replacement: 0.041643143475648604 + +2023-08-09 16:32:37,284 - train: [ INFO] - Test: [ 0/7] Time: 1.308 (1.308) Loss: 0.4736 (0.4736) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:32:39,413 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.430) Loss: 0.5279 (0.5750) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (84.4828)Acc@5: 96.6667 (95.5172) + +2023-08-09 16:32:41,694 - train: [ INFO] - Train: 104 [ 0/65 ( 0%)] Loss: 0.026622 (0.0266) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.982s, 60.56/s LR: 4.314e-04 P_Replacement: 0.04166162962962963 + +2023-08-09 16:33:18,633 - train: [ INFO] - Train: 104 [ 50/65 ( 78%)] Loss: 0.050331 (0.0372) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.763s, 157.25/s LR: 4.314e-04 P_Replacement: 0.042592928538916705 + +2023-08-09 16:33:29,578 - train: [ INFO] - Train: 104 [ 64/65 (100%)] Loss: 0.030589 (0.0382) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.767s, 156.43/s LR: 4.314e-04 P_Replacement: 0.04285615660736021 + +2023-08-09 16:33:31,124 - train: [ INFO] - Test: [ 0/7] Time: 1.282 (1.282) Loss: 0.6419 (0.6419) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:33:33,254 - train: [ INFO] - Test: [ 7/7] Time: 0.131 (0.426) Loss: 0.7761 (0.6433) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.7931)Acc@5: 96.6667 (95.5172) + +2023-08-09 16:33:35,606 - train: [ INFO] - Train: 105 [ 0/65 ( 0%)] Loss: 0.040969 (0.0410) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.956s, 61.33/s LR: 4.287e-04 P_Replacement: 0.04287499999999999 + +2023-08-09 16:34:13,002 - train: [ INFO] - Train: 105 [ 50/65 ( 78%)] Loss: 0.043389 (0.0423) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.772s, 155.52/s LR: 4.287e-04 P_Replacement: 0.04382422790336992 + +2023-08-09 16:34:23,332 - train: [ INFO] - Train: 105 [ 64/65 (100%)] Loss: 0.054035 (0.0421) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.764s, 157.01/s LR: 4.287e-04 P_Replacement: 0.0440924996536017 + +2023-08-09 16:34:24,601 - train: [ INFO] - Test: [ 0/7] Time: 1.048 (1.048) Loss: 0.5259 (0.5259) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:34:26,707 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.394) Loss: 0.6681 (0.6603) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (82.8736)Acc@5: 93.3333 (95.2874) + +2023-08-09 16:34:29,130 - train: [ INFO] - Train: 106 [ 0/65 ( 0%)] Loss: 0.036437 (0.0364) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.863s, 64.40/s LR: 4.260e-04 P_Replacement: 0.0441117037037037 + +2023-08-09 16:35:07,386 - train: [ INFO] - Train: 106 [ 50/65 ( 78%)] Loss: 0.053644 (0.0408) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.787s, 152.56/s LR: 4.260e-04 P_Replacement: 0.0450790315413274 + +2023-08-09 16:35:17,989 - train: [ INFO] - Train: 106 [ 64/65 (100%)] Loss: 0.091408 (0.0437) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.780s, 153.79/s LR: 4.260e-04 P_Replacement: 0.04535239483659535 + +2023-08-09 16:35:19,450 - train: [ INFO] - Test: [ 0/7] Time: 1.169 (1.169) Loss: 0.6642 (0.6642) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (80.0000)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:35:21,563 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.410) Loss: 0.4831 (0.6883) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (83.3333)Acc@5: 100.0000 (94.5977) + +2023-08-09 16:35:24,012 - train: [ INFO] - Train: 107 [ 0/65 ( 0%)] Loss: 0.043067 (0.0431) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.137s, 56.15/s LR: 4.233e-04 P_Replacement: 0.04537196296296297 + +2023-08-09 16:36:00,974 - train: [ INFO] - Train: 107 [ 50/65 ( 78%)] Loss: 0.065588 (0.0509) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.767s, 156.54/s LR: 4.233e-04 P_Replacement: 0.046357561675011386 + +2023-08-09 16:36:12,080 - train: [ INFO] - Train: 107 [ 64/65 (100%)] Loss: 0.071974 (0.0501) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.772s, 155.38/s LR: 4.233e-04 P_Replacement: 0.046636064378563366 + +2023-08-09 16:36:13,386 - train: [ INFO] - Test: [ 0/7] Time: 1.096 (1.096) Loss: 0.6949 (0.6949) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:36:15,553 - train: [ INFO] - Test: [ 7/7] Time: 0.079 (0.408) Loss: 0.4329 (0.6634) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.1035)Acc@5: 100.0000 (95.9770) + +2023-08-09 16:36:18,143 - train: [ INFO] - Train: 108 [ 0/65 ( 0%)] Loss: 0.044175 (0.0442) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.035s, 58.97/s LR: 4.206e-04 P_Replacement: 0.046655999999999996 + +2023-08-09 16:36:55,725 - train: [ INFO] - Train: 108 [ 50/65 ( 78%)] Loss: 0.026946 (0.0420) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.777s, 154.49/s LR: 4.206e-04 P_Replacement: 0.04766004052664407 + +2023-08-09 16:37:06,530 - train: [ INFO] - Train: 108 [ 64/65 (100%)] Loss: 0.032059 (0.0413) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.776s, 154.70/s LR: 4.206e-04 P_Replacement: 0.04794373050172794 + +2023-08-09 16:37:07,720 - train: [ INFO] - Test: [ 0/7] Time: 1.047 (1.047) Loss: 0.6184 (0.6184) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:37:09,842 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.396) Loss: 0.6568 (0.5732) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (85.8621)Acc@5: 90.0000 (95.7471) + +2023-08-09 16:37:12,062 - train: [ INFO] - Train: 109 [ 0/65 ( 0%)] Loss: 0.046792 (0.0468) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.852s, 64.79/s LR: 4.178e-04 P_Replacement: 0.04796403703703704 + +2023-08-09 16:37:49,656 - train: [ INFO] - Train: 109 [ 50/65 ( 78%)] Loss: 0.039381 (0.0370) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.773s, 155.16/s LR: 4.178e-04 P_Replacement: 0.04898669031844771 + +2023-08-09 16:37:59,934 - train: [ INFO] - Train: 109 [ 64/65 (100%)] Loss: 0.024898 (0.0365) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.765s, 156.88/s LR: 4.178e-04 P_Replacement: 0.04927561542831133 + +2023-08-09 16:38:01,485 - train: [ INFO] - Test: [ 0/7] Time: 1.403 (1.403) Loss: 0.5647 (0.5647) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:38:03,583 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.438) Loss: 1.2732 (0.6108) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (84.7126)Acc@5: 86.6667 (95.6322) + +2023-08-09 16:38:06,006 - train: [ INFO] - Train: 110 [ 0/65 ( 0%)] Loss: 0.032905 (0.0329) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.034s, 58.98/s LR: 4.151e-04 P_Replacement: 0.04929629629629628 + +2023-08-09 16:38:44,329 - train: [ INFO] - Train: 110 [ 50/65 ( 78%)] Loss: 0.056251 (0.0358) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.791s, 151.65/s LR: 4.151e-04 P_Replacement: 0.05033773327264452 + +2023-08-09 16:38:55,044 - train: [ INFO] - Train: 110 [ 64/65 (100%)] Loss: 0.047780 (0.0360) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.786s, 152.74/s LR: 4.151e-04 P_Replacement: 0.050631941380535755 + +2023-08-09 16:38:56,567 - train: [ INFO] - Test: [ 0/7] Time: 1.281 (1.281) Loss: 0.6682 (0.6682) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:38:58,649 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.420) Loss: 0.5502 (0.6246) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (84.1379)Acc@5: 96.6667 (95.8621) + +2023-08-09 16:39:00,939 - train: [ INFO] - Train: 111 [ 0/65 ( 0%)] Loss: 0.023127 (0.0231) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.942s, 61.78/s LR: 4.123e-04 P_Replacement: 0.050653 + +2023-08-09 16:39:37,872 - train: [ INFO] - Train: 111 [ 50/65 ( 78%)] Loss: 0.045145 (0.0385) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.762s, 157.44/s LR: 4.123e-04 P_Replacement: 0.051713391611456695 + +2023-08-09 16:39:48,503 - train: [ INFO] - Train: 111 [ 64/65 (100%)] Loss: 0.041092 (0.0387) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.762s, 157.57/s LR: 4.123e-04 P_Replacement: 0.05201293058062341 + +2023-08-09 16:39:49,893 - train: [ INFO] - Test: [ 0/7] Time: 1.082 (1.082) Loss: 0.6513 (0.6513) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:39:51,961 - train: [ INFO] - Test: [ 7/7] Time: 0.081 (0.394) Loss: 0.8179 (0.6347) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (84.1379)Acc@5: 93.3333 (95.2874) + +2023-08-09 16:39:54,007 - train: [ INFO] - Train: 112 [ 0/65 ( 0%)] Loss: 0.031291 (0.0313) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.672s, 71.75/s LR: 4.096e-04 P_Replacement: 0.05203437037037038 + +2023-08-09 16:40:31,859 - train: [ INFO] - Train: 112 [ 50/65 ( 78%)] Loss: 0.036990 (0.0392) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.775s, 154.86/s LR: 4.096e-04 P_Replacement: 0.0531138875571065 + +2023-08-09 16:40:42,611 - train: [ INFO] - Train: 112 [ 64/65 (100%)] Loss: 0.029715 (0.0378) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.773s, 155.16/s LR: 4.096e-04 P_Replacement: 0.05341880525079655 + +2023-08-09 16:40:44,016 - train: [ INFO] - Test: [ 0/7] Time: 1.172 (1.172) Loss: 0.5275 (0.5275) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:40:46,143 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.413) Loss: 1.3328 (0.6025) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (84.5977)Acc@5: 90.0000 (95.4023) + +2023-08-09 16:40:48,790 - train: [ INFO] - Train: 113 [ 0/65 ( 0%)] Loss: 0.039233 (0.0392) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.098s, 57.21/s LR: 4.068e-04 P_Replacement: 0.05344062962962962 + +2023-08-09 16:41:27,361 - train: [ INFO] - Train: 113 [ 50/65 ( 78%)] Loss: 0.053061 (0.0357) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.797s, 150.49/s LR: 4.068e-04 P_Replacement: 0.0545394433318161 + +2023-08-09 16:41:37,847 - train: [ INFO] - Train: 113 [ 64/65 (100%)] Loss: 0.025682 (0.0341) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.787s, 152.49/s LR: 4.068e-04 P_Replacement: 0.054849787613277357 + +2023-08-09 16:41:39,430 - train: [ INFO] - Test: [ 0/7] Time: 1.314 (1.314) Loss: 0.4540 (0.4540) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:41:41,603 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.436) Loss: 0.7579 (0.5775) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (85.4023)Acc@5: 93.3333 (95.2874) + +2023-08-09 16:41:43,964 - train: [ INFO] - Train: 114 [ 0/65 ( 0%)] Loss: 0.023249 (0.0232) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.038s, 58.88/s LR: 4.040e-04 P_Replacement: 0.054872000000000004 + +2023-08-09 16:42:22,340 - train: [ INFO] - Train: 114 [ 50/65 ( 78%)] Loss: 0.032758 (0.0374) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.792s, 151.46/s LR: 4.040e-04 P_Replacement: 0.055990281157807784 + +2023-08-09 16:42:32,952 - train: [ INFO] - Train: 114 [ 64/65 (100%)] Loss: 0.063799 (0.0364) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.785s, 152.89/s LR: 4.040e-04 P_Replacement: 0.056306099890288105 + +2023-08-09 16:42:34,398 - train: [ INFO] - Test: [ 0/7] Time: 1.122 (1.122) Loss: 0.5301 (0.5301) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:42:36,357 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.385) Loss: 0.4763 (0.5645) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (84.1379)Acc@5: 100.0000 (96.0920) + +2023-08-09 16:42:38,597 - train: [ INFO] - Train: 115 [ 0/65 ( 0%)] Loss: 0.035007 (0.0350) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.931s, 62.15/s LR: 4.012e-04 P_Replacement: 0.056328703703703714 + +2023-08-09 16:43:16,767 - train: [ INFO] - Train: 115 [ 50/65 ( 78%)] Loss: 0.031462 (0.0324) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.786s, 152.62/s LR: 4.012e-04 P_Replacement: 0.057466623257303735 + +2023-08-09 16:43:27,963 - train: [ INFO] - Train: 115 [ 64/65 (100%)] Loss: 0.031939 (0.0324) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.789s, 152.07/s LR: 4.012e-04 P_Replacement: 0.05778796430405099 + +2023-08-09 16:43:29,177 - train: [ INFO] - Test: [ 0/7] Time: 1.060 (1.060) Loss: 0.2911 (0.2911) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:43:31,320 - train: [ INFO] - Test: [ 7/7] Time: 0.081 (0.400) Loss: 0.5083 (0.5819) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (84.1379)Acc@5: 100.0000 (96.4368) + +2023-08-09 16:43:33,513 - train: [ INFO] - Train: 116 [ 0/65 ( 0%)] Loss: 0.042104 (0.0421) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.740s, 68.97/s LR: 3.983e-04 P_Replacement: 0.05781096296296296 + +2023-08-09 16:44:12,702 - train: [ INFO] - Train: 116 [ 50/65 ( 78%)] Loss: 0.051757 (0.0369) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.802s, 149.58/s LR: 3.983e-04 P_Replacement: 0.058968691852526164 + +2023-08-09 16:44:23,642 - train: [ INFO] - Train: 116 [ 64/65 (100%)] Loss: 0.025261 (0.0357) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.798s, 150.42/s LR: 3.983e-04 P_Replacement: 0.05929560307678821 + +2023-08-09 16:44:24,900 - train: [ INFO] - Test: [ 0/7] Time: 1.060 (1.060) Loss: 0.6594 (0.6594) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:44:26,911 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.384) Loss: 0.4474 (0.5838) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (84.1379)Acc@5: 96.6667 (96.5517) + +2023-08-09 16:44:29,230 - train: [ INFO] - Train: 117 [ 0/65 ( 0%)] Loss: 0.038056 (0.0381) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.948s, 61.60/s LR: 3.955e-04 P_Replacement: 0.059319000000000004 + +2023-08-09 16:45:08,010 - train: [ INFO] - Train: 117 [ 50/65 ( 78%)] Loss: 0.031318 (0.0372) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.799s, 150.27/s LR: 3.955e-04 P_Replacement: 0.060496709165697334 + +2023-08-09 16:45:18,686 - train: [ INFO] - Train: 117 [ 64/65 (100%)] Loss: 0.023368 (0.0366) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.791s, 151.75/s LR: 3.955e-04 P_Replacement: 0.060829238430722035 + +2023-08-09 16:45:20,214 - train: [ INFO] - Test: [ 0/7] Time: 1.188 (1.188) Loss: 0.5305 (0.5305) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 98.3333 (98.3333) + +2023-08-09 16:45:22,192 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.396) Loss: 0.6651 (0.6130) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.6782)Acc@5: 93.3333 (96.0920) + +2023-08-09 16:45:24,434 - train: [ INFO] - Train: 118 [ 0/65 ( 0%)] Loss: 0.031841 (0.0318) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.929s, 62.20/s LR: 3.927e-04 P_Replacement: 0.060853037037037025 + +2023-08-09 16:46:02,737 - train: [ INFO] - Train: 118 [ 50/65 ( 78%)] Loss: 0.035327 (0.0307) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.789s, 152.13/s LR: 3.927e-04 P_Replacement: 0.06205089741903944 + +2023-08-09 16:46:13,572 - train: [ INFO] - Train: 118 [ 64/65 (100%)] Loss: 0.084147 (0.0323) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.786s, 152.75/s LR: 3.927e-04 P_Replacement: 0.06238909258807464 + +2023-08-09 16:46:15,141 - train: [ INFO] - Test: [ 0/7] Time: 1.402 (1.402) Loss: 0.7254 (0.7254) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 93.3333 (93.3333) + +2023-08-09 16:46:17,156 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.427) Loss: 0.8993 (0.5607) cLoss: 0.0000 (0.0000) Acc@1: 66.6667 (85.4023)Acc@5: 93.3333 (96.3218) + +2023-08-09 16:46:19,458 - train: [ INFO] - Train: 119 [ 0/65 ( 0%)] Loss: 0.034275 (0.0343) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.976s, 60.72/s LR: 3.898e-04 P_Replacement: 0.0624132962962963 + +2023-08-09 16:46:58,757 - train: [ INFO] - Train: 119 [ 50/65 ( 78%)] Loss: 0.027237 (0.0364) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.809s, 148.31/s LR: 3.898e-04 P_Replacement: 0.06363147883477469 + +2023-08-09 16:47:09,250 - train: [ INFO] - Train: 119 [ 64/65 (100%)] Loss: 0.028020 (0.0365) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.796s, 150.70/s LR: 3.898e-04 P_Replacement: 0.06397538777106829 + +2023-08-09 16:47:10,648 - train: [ INFO] - Test: [ 0/7] Time: 1.237 (1.237) Loss: 0.7773 (0.7773) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:47:12,779 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.421) Loss: 0.2820 (0.5813) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (85.5172)Acc@5: 100.0000 (96.2069) + +2023-08-09 16:47:15,037 - train: [ INFO] - Train: 120 [ 0/65 ( 0%)] Loss: 0.028418 (0.0284) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.932s, 62.11/s LR: 3.870e-04 P_Replacement: 0.06400000000000002 + +2023-08-09 16:47:53,563 - train: [ INFO] - Train: 120 [ 50/65 ( 78%)] Loss: 0.037493 (0.0310) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.793s, 151.28/s LR: 3.870e-04 P_Replacement: 0.06523867563512535 + +2023-08-09 16:48:03,850 - train: [ INFO] - Train: 120 [ 64/65 (100%)] Loss: 0.025964 (0.0311) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.781s, 153.72/s LR: 3.870e-04 P_Replacement: 0.06558834620192519 + +2023-08-09 16:48:05,191 - train: [ INFO] - Test: [ 0/7] Time: 1.151 (1.151) Loss: 0.4449 (0.4449) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:48:07,116 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.385) Loss: 0.4164 (0.5441) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (86.6667)Acc@5: 96.6667 (96.2069) + +2023-08-09 16:48:07,535 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-120.pth.tar', 86.66667070059941) + +2023-08-09 16:48:09,435 - train: [ INFO] - Train: 121 [ 0/65 ( 0%)] Loss: 0.025797 (0.0258) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.880s, 63.84/s LR: 3.841e-04 P_Replacement: 0.06561337037037036 + +2023-08-09 16:48:46,666 - train: [ INFO] - Train: 121 [ 50/65 ( 78%)] Loss: 0.030251 (0.0335) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.767s, 156.51/s LR: 3.841e-04 P_Replacement: 0.06687271004231359 + +2023-08-09 16:48:57,975 - train: [ INFO] - Train: 121 [ 64/65 (100%)] Loss: 0.032835 (0.0337) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.776s, 154.74/s LR: 3.841e-04 P_Replacement: 0.06722819010286754 + +2023-08-09 16:48:59,271 - train: [ INFO] - Test: [ 0/7] Time: 1.088 (1.088) Loss: 0.6088 (0.6088) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:49:01,044 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.358) Loss: 0.9330 (0.5885) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (84.5977)Acc@5: 93.3333 (95.9770) + +2023-08-09 16:49:03,360 - train: [ INFO] - Train: 122 [ 0/65 ( 0%)] Loss: 0.023705 (0.0237) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.707s, 70.31/s LR: 3.812e-04 P_Replacement: 0.06725362962962964 + +2023-08-09 16:49:42,259 - train: [ INFO] - Train: 122 [ 50/65 ( 78%)] Loss: 0.037920 (0.0348) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.796s, 150.73/s LR: 3.812e-04 P_Replacement: 0.06853380427856168 + +2023-08-09 16:49:52,968 - train: [ INFO] - Train: 122 [ 64/65 (100%)] Loss: 0.031141 (0.0352) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.789s, 152.02/s LR: 3.812e-04 P_Replacement: 0.0688951416961176 + +2023-08-09 16:49:54,257 - train: [ INFO] - Test: [ 0/7] Time: 1.043 (1.043) Loss: 0.5177 (0.5177) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:49:56,101 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.361) Loss: 0.6585 (0.5802) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (85.6322)Acc@5: 96.6667 (95.7471) + +2023-08-09 16:49:58,370 - train: [ INFO] - Train: 123 [ 0/65 ( 0%)] Loss: 0.037208 (0.0372) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.915s, 62.68/s LR: 3.783e-04 P_Replacement: 0.06892099999999998 + +2023-08-09 16:50:37,230 - train: [ INFO] - Train: 123 [ 50/65 ( 78%)] Loss: 0.058361 (0.0307) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.799s, 150.10/s LR: 3.783e-04 P_Replacement: 0.07022218056609182 + +2023-08-09 16:50:48,414 - train: [ INFO] - Train: 123 [ 64/65 (100%)] Loss: 0.025163 (0.0295) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.799s, 150.13/s LR: 3.783e-04 P_Replacement: 0.07058942320389755 + +2023-08-09 16:50:49,610 - train: [ INFO] - Test: [ 0/7] Time: 0.978 (0.978) Loss: 0.6438 (0.6438) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 16:50:51,620 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.374) Loss: 0.7468 (0.5863) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (83.9081)Acc@5: 90.0000 (96.3218) + +2023-08-09 16:50:54,235 - train: [ INFO] - Train: 124 [ 0/65 ( 0%)] Loss: 0.027680 (0.0277) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.296s, 52.27/s LR: 3.754e-04 P_Replacement: 0.07061570370370371 + +2023-08-09 16:51:32,979 - train: [ INFO] - Train: 124 [ 50/65 ( 78%)] Loss: 0.029191 (0.0358) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.805s, 149.13/s LR: 3.754e-04 P_Replacement: 0.07193806112712621 + +2023-08-09 16:51:43,746 - train: [ INFO] - Train: 124 [ 64/65 (100%)] Loss: 0.023696 (0.0349) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.797s, 150.57/s LR: 3.754e-04 P_Replacement: 0.07231125684842968 + +2023-08-09 16:51:45,313 - train: [ INFO] - Test: [ 0/7] Time: 1.237 (1.237) Loss: 0.6458 (0.6458) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:51:47,467 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.424) Loss: 0.7874 (0.5778) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (84.2529)Acc@5: 93.3333 (96.3218) + +2023-08-09 16:51:49,908 - train: [ INFO] - Train: 125 [ 0/65 ( 0%)] Loss: 0.038335 (0.0383) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.052s, 58.49/s LR: 3.725e-04 P_Replacement: 0.07233796296296298 + +2023-08-09 16:52:28,761 - train: [ INFO] - Train: 125 [ 50/65 ( 78%)] Loss: 0.034512 (0.0293) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.802s, 149.63/s LR: 3.725e-04 P_Replacement: 0.07368166818388712 + +2023-08-09 16:52:40,345 - train: [ INFO] - Train: 125 [ 64/65 (100%)] Loss: 0.049241 (0.0310) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.807s, 148.61/s LR: 3.725e-04 P_Replacement: 0.07406086485193615 + +2023-08-09 16:52:41,647 - train: [ INFO] - Test: [ 0/7] Time: 1.090 (1.090) Loss: 0.6238 (0.6238) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:52:43,893 - train: [ INFO] - Test: [ 7/7] Time: 0.099 (0.417) Loss: 0.4358 (0.6123) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (83.4483)Acc@5: 100.0000 (96.0920) + +2023-08-09 16:52:45,974 - train: [ INFO] - Train: 126 [ 0/65 ( 0%)] Loss: 0.053773 (0.0538) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.743s, 68.86/s LR: 3.696e-04 P_Replacement: 0.07408799999999999 + +2023-08-09 16:53:23,554 - train: [ INFO] - Train: 126 [ 50/65 ( 78%)] Loss: 0.033560 (0.0388) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (100.0000) Time: 0.771s, 155.65/s LR: 3.696e-04 P_Replacement: 0.07545322395859673 + +2023-08-09 16:53:34,509 - train: [ INFO] - Train: 126 [ 64/65 (100%)] Loss: 0.056303 (0.0385) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.773s, 155.15/s LR: 3.696e-04 P_Replacement: 0.07583846943663917 + +2023-08-09 16:53:35,868 - train: [ INFO] - Test: [ 0/7] Time: 1.211 (1.211) Loss: 0.5168 (0.5168) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:53:37,815 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.395) Loss: 0.1771 (0.5831) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (84.3678)Acc@5: 100.0000 (95.7471) + +2023-08-09 16:53:40,414 - train: [ INFO] - Train: 127 [ 0/65 ( 0%)] Loss: 0.039918 (0.0399) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.159s, 55.59/s LR: 3.667e-04 P_Replacement: 0.07586603703703704 + +2023-08-09 16:54:19,357 - train: [ INFO] - Train: 127 [ 50/65 ( 78%)] Loss: 0.032698 (0.0351) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.806s, 148.91/s LR: 3.667e-04 P_Replacement: 0.0772529506734773 + +2023-08-09 16:54:29,774 - train: [ INFO] - Train: 127 [ 64/65 (100%)] Loss: 0.031303 (0.0350) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.793s, 151.41/s LR: 3.667e-04 P_Replacement: 0.07764429282476104 + +2023-08-09 16:54:30,954 - train: [ INFO] - Test: [ 0/7] Time: 1.032 (1.032) Loss: 0.3854 (0.3854) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 16:54:33,029 - train: [ INFO] - Test: [ 7/7] Time: 0.095 (0.388) Loss: 0.3511 (0.5750) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (85.8621)Acc@5: 100.0000 (95.5172) + +2023-08-09 16:54:35,306 - train: [ INFO] - Train: 128 [ 0/65 ( 0%)] Loss: 0.029605 (0.0296) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.774s, 67.62/s LR: 3.637e-04 P_Replacement: 0.07767229629629631 + +2023-08-09 16:55:13,263 - train: [ INFO] - Train: 128 [ 50/65 ( 78%)] Loss: 0.032569 (0.0357) Acc@1: 99.1667 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.779s, 154.04/s LR: 3.637e-04 P_Replacement: 0.07908107055075103 + +2023-08-09 16:55:24,174 - train: [ INFO] - Train: 128 [ 64/65 (100%)] Loss: 0.035989 (0.0351) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.779s, 154.12/s LR: 3.637e-04 P_Replacement: 0.07947855723852393 + +2023-08-09 16:55:25,453 - train: [ INFO] - Test: [ 0/7] Time: 0.994 (0.994) Loss: 0.6498 (0.6498) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 16:55:27,387 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.366) Loss: 1.1845 (0.5684) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (85.6322)Acc@5: 93.3333 (96.2069) + +2023-08-09 16:55:29,749 - train: [ INFO] - Train: 129 [ 0/65 ( 0%)] Loss: 0.024204 (0.0242) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.021s, 59.39/s LR: 3.608e-04 P_Replacement: 0.079507 + +2023-08-09 16:56:08,381 - train: [ INFO] - Train: 129 [ 50/65 ( 78%)] Loss: 0.034901 (0.0357) Acc@1: 99.1667 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.797s, 150.57/s LR: 3.608e-04 P_Replacement: 0.08093780581264012 + +2023-08-09 16:56:19,019 - train: [ INFO] - Train: 129 [ 64/65 (100%)] Loss: 0.033555 (0.0351) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.789s, 152.10/s LR: 3.608e-04 P_Replacement: 0.08134148490015003 + +2023-08-09 16:56:20,458 - train: [ INFO] - Test: [ 0/7] Time: 1.221 (1.221) Loss: 0.6048 (0.6048) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 16:56:22,388 - train: [ INFO] - Test: [ 7/7] Time: 0.094 (0.394) Loss: 1.0430 (0.5397) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.0920)Acc@5: 93.3333 (96.5517) + +2023-08-09 16:56:24,710 - train: [ INFO] - Train: 130 [ 0/65 ( 0%)] Loss: 0.029572 (0.0296) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.850s, 64.86/s LR: 3.578e-04 P_Replacement: 0.08137037037037038 + +2023-08-09 16:57:03,053 - train: [ INFO] - Train: 130 [ 50/65 ( 78%)] Loss: 0.020135 (0.0297) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.788s, 152.27/s LR: 3.578e-04 P_Replacement: 0.08282337868136685 + +2023-08-09 16:57:13,581 - train: [ INFO] - Train: 130 [ 64/65 (100%)] Loss: 0.029146 (0.0298) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.780s, 153.79/s LR: 3.578e-04 P_Replacement: 0.08323329803186164 + +2023-08-09 16:57:15,164 - train: [ INFO] - Test: [ 0/7] Time: 1.386 (1.386) Loss: 0.4962 (0.4962) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 98.3333 (98.3333) + +2023-08-09 16:57:17,213 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.429) Loss: 0.0593 (0.5359) cLoss: 0.0000 (0.0000) Acc@1: 100.0000 (84.8276)Acc@5: 100.0000 (96.5517) + +2023-08-09 16:57:19,373 - train: [ INFO] - Train: 131 [ 0/65 ( 0%)] Loss: 0.033824 (0.0338) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.805s, 66.50/s LR: 3.549e-04 P_Replacement: 0.08326262962962962 + +2023-08-09 16:57:57,828 - train: [ INFO] - Train: 131 [ 50/65 ( 78%)] Loss: 0.020299 (0.0284) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.789s, 152.02/s LR: 3.549e-04 P_Replacement: 0.0847380113791534 + +2023-08-09 16:58:09,084 - train: [ INFO] - Train: 131 [ 64/65 (100%)] Loss: 0.018843 (0.0276) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.792s, 151.42/s LR: 3.549e-04 P_Replacement: 0.0851542188558809 + +2023-08-09 16:58:10,441 - train: [ INFO] - Test: [ 0/7] Time: 1.149 (1.149) Loss: 0.6973 (0.6973) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 91.6667 (91.6667) + +2023-08-09 16:58:12,377 - train: [ INFO] - Test: [ 7/7] Time: 0.082 (0.386) Loss: 0.8911 (0.5065) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (87.0115)Acc@5: 93.3333 (95.9770) + +2023-08-09 16:58:12,775 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-131.pth.tar', 87.01149933913658) + +2023-08-09 16:58:14,795 - train: [ INFO] - Train: 132 [ 0/65 ( 0%)] Loss: 0.021428 (0.0214) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.004s, 59.88/s LR: 3.519e-04 P_Replacement: 0.085184 + +2023-08-09 16:58:52,918 - train: [ INFO] - Train: 132 [ 50/65 ( 78%)] Loss: 0.024363 (0.0274) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.787s, 152.52/s LR: 3.519e-04 P_Replacement: 0.08668192612822198 + +2023-08-09 16:59:04,181 - train: [ INFO] - Train: 132 [ 64/65 (100%)] Loss: 0.019859 (0.0276) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.790s, 151.83/s LR: 3.519e-04 P_Replacement: 0.08710446959443012 + +2023-08-09 16:59:05,634 - train: [ INFO] - Test: [ 0/7] Time: 1.300 (1.300) Loss: 0.4633 (0.4633) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 96.6667 (96.6667) + +2023-08-09 16:59:07,576 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.405) Loss: 0.3182 (0.5250) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (85.8621)Acc@5: 100.0000 (96.2069) + +2023-08-09 16:59:09,635 - train: [ INFO] - Train: 133 [ 0/65 ( 0%)] Loss: 0.035859 (0.0359) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.702s, 70.49/s LR: 3.490e-04 P_Replacement: 0.08713470370370371 + +2023-08-09 16:59:48,538 - train: [ INFO] - Train: 133 [ 50/65 ( 78%)] Loss: 0.026141 (0.0277) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.796s, 150.73/s LR: 3.490e-04 P_Replacement: 0.08865534515079486 + +2023-08-09 16:59:59,656 - train: [ INFO] - Train: 133 [ 64/65 (100%)] Loss: 0.032493 (0.0277) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.796s, 150.82/s LR: 3.490e-04 P_Replacement: 0.08908427246973147 + +2023-08-09 17:00:01,157 - train: [ INFO] - Test: [ 0/7] Time: 1.249 (1.249) Loss: 0.6113 (0.6113) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:00:03,142 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.404) Loss: 0.8217 (0.5664) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (85.7471)Acc@5: 90.0000 (96.2069) + +2023-08-09 17:00:05,430 - train: [ INFO] - Train: 134 [ 0/65 ( 0%)] Loss: 0.021779 (0.0218) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.973s, 60.81/s LR: 3.460e-04 P_Replacement: 0.08911496296296295 + +2023-08-09 17:00:45,219 - train: [ INFO] - Train: 134 [ 50/65 ( 78%)] Loss: 0.034971 (0.0308) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.819s, 146.55/s LR: 3.460e-04 P_Replacement: 0.0906584906690942 + +2023-08-09 17:00:55,808 - train: [ INFO] - Train: 134 [ 64/65 (100%)] Loss: 0.024693 (0.0303) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.805s, 149.03/s LR: 3.460e-04 P_Replacement: 0.09109384970400713 + +2023-08-09 17:00:57,115 - train: [ INFO] - Test: [ 0/7] Time: 1.105 (1.105) Loss: 0.9421 (0.9421) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-09 17:00:59,272 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.408) Loss: 0.3955 (0.5578) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (84.9425)Acc@5: 96.6667 (95.7471) + +2023-08-09 17:01:01,460 - train: [ INFO] - Train: 135 [ 0/65 ( 0%)] Loss: 0.031540 (0.0315) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.713s, 70.06/s LR: 3.430e-04 P_Replacement: 0.09112500000000001 + +2023-08-09 17:01:40,883 - train: [ INFO] - Train: 135 [ 50/65 ( 78%)] Loss: 0.029143 (0.0299) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.806s, 148.81/s LR: 3.430e-04 P_Replacement: 0.09269158490534231 + +2023-08-09 17:01:51,785 - train: [ INFO] - Train: 135 [ 64/65 (100%)] Loss: 0.022591 (0.0294) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.800s, 149.96/s LR: 3.430e-04 P_Replacement: 0.09313342351947942 + +2023-08-09 17:01:53,166 - train: [ INFO] - Test: [ 0/7] Time: 1.046 (1.046) Loss: 0.6215 (0.6215) cLoss: 0.0000 (0.0000) Acc@1: 80.8333 (80.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:01:55,089 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.371) Loss: 0.3073 (0.5639) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (85.7471)Acc@5: 100.0000 (96.6667) + +2023-08-09 17:01:57,591 - train: [ INFO] - Train: 136 [ 0/65 ( 0%)] Loss: 0.033545 (0.0335) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.952s, 61.46/s LR: 3.400e-04 P_Replacement: 0.09316503703703702 + +2023-08-09 17:02:35,909 - train: [ INFO] - Train: 136 [ 50/65 ( 78%)] Loss: 0.035783 (0.0337) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.790s, 151.99/s LR: 3.400e-04 P_Replacement: 0.09475485008176134 + +2023-08-09 17:02:46,853 - train: [ INFO] - Train: 136 [ 64/65 (100%)] Loss: 0.028090 (0.0338) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.788s, 152.32/s LR: 3.400e-04 P_Replacement: 0.09520321613837049 + +2023-08-09 17:02:48,208 - train: [ INFO] - Test: [ 0/7] Time: 1.132 (1.132) Loss: 0.4090 (0.4090) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:02:50,271 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.399) Loss: 0.7806 (0.5217) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.5517)Acc@5: 90.0000 (96.5517) + +2023-08-09 17:02:52,531 - train: [ INFO] - Train: 137 [ 0/65 ( 0%)] Loss: 0.036924 (0.0369) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.685s, 71.21/s LR: 3.371e-04 P_Replacement: 0.09523529629629629 + +2023-08-09 17:03:32,660 - train: [ INFO] - Train: 137 [ 50/65 ( 78%)] Loss: 0.033028 (0.0347) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.820s, 146.38/s LR: 3.371e-04 P_Replacement: 0.0968485084205735 + +2023-08-09 17:03:43,400 - train: [ INFO] - Train: 137 [ 64/65 (100%)] Loss: 0.035015 (0.0344) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.808s, 148.44/s LR: 3.371e-04 P_Replacement: 0.0973034497829026 + +2023-08-09 17:03:44,739 - train: [ INFO] - Test: [ 0/7] Time: 1.027 (1.027) Loss: 0.4878 (0.4878) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:03:46,918 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.401) Loss: 0.6306 (0.5338) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (87.3563)Acc@5: 93.3333 (96.5517) + +2023-08-09 17:03:47,284 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-137.pth.tar', 87.35632718842605) + +2023-08-09 17:03:49,233 - train: [ INFO] - Train: 138 [ 0/65 ( 0%)] Loss: 0.030009 (0.0300) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.925s, 62.35/s LR: 3.341e-04 P_Replacement: 0.097336 + +2023-08-09 17:04:28,761 - train: [ INFO] - Train: 138 [ 50/65 ( 78%)] Loss: 0.029047 (0.0329) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.813s, 147.65/s LR: 3.341e-04 P_Replacement: 0.09897278214400108 + +2023-08-09 17:04:39,949 - train: [ INFO] - Train: 138 [ 64/65 (100%)] Loss: 0.032418 (0.0333) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.810s, 148.19/s LR: 3.341e-04 P_Replacement: 0.09943434667529798 + +2023-08-09 17:04:41,439 - train: [ INFO] - Test: [ 0/7] Time: 1.254 (1.254) Loss: 0.4555 (0.4555) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:04:43,545 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.420) Loss: 0.3491 (0.5438) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.3218)Acc@5: 100.0000 (95.8621) + +2023-08-09 17:04:45,977 - train: [ INFO] - Train: 139 [ 0/65 ( 0%)] Loss: 0.034759 (0.0348) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.040s, 58.83/s LR: 3.311e-04 P_Replacement: 0.09946737037037036 + +2023-08-09 17:05:26,532 - train: [ INFO] - Train: 139 [ 50/65 ( 78%)] Loss: 0.031493 (0.0349) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.835s, 143.69/s LR: 3.311e-04 P_Replacement: 0.10112789347426623 + +2023-08-09 17:05:37,696 - train: [ INFO] - Train: 139 [ 64/65 (100%)] Loss: 0.020113 (0.0351) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.827s, 145.12/s LR: 3.311e-04 P_Replacement: 0.10159612903777877 + +2023-08-09 17:05:38,926 - train: [ INFO] - Test: [ 0/7] Time: 1.017 (1.017) Loss: 0.3232 (0.3232) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 99.1667 (99.1667) + +2023-08-09 17:05:40,958 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.381) Loss: 0.8179 (0.5574) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (86.2069)Acc@5: 96.6667 (95.8621) + +2023-08-09 17:05:43,288 - train: [ INFO] - Train: 140 [ 0/65 ( 0%)] Loss: 0.029272 (0.0293) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.976s, 60.72/s LR: 3.281e-04 P_Replacement: 0.10162962962962964 + +2023-08-09 17:06:22,611 - train: [ INFO] - Train: 140 [ 50/65 ( 78%)] Loss: 0.029026 (0.0335) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.810s, 148.19/s LR: 3.281e-04 P_Replacement: 0.10331406463359126 + +2023-08-09 17:06:33,809 - train: [ INFO] - Train: 140 [ 64/65 (100%)] Loss: 0.040070 (0.0334) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.808s, 148.59/s LR: 3.281e-04 P_Replacement: 0.10378901909256731 + +2023-08-09 17:06:35,348 - train: [ INFO] - Test: [ 0/7] Time: 1.198 (1.198) Loss: 0.5475 (0.5475) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:06:37,684 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.442) Loss: 0.3199 (0.5962) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (84.3678)Acc@5: 96.6667 (95.7471) + +2023-08-09 17:06:40,036 - train: [ INFO] - Train: 141 [ 0/65 ( 0%)] Loss: 0.034486 (0.0345) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.033s, 59.04/s LR: 3.251e-04 P_Replacement: 0.10382299999999998 + +2023-08-09 17:07:19,858 - train: [ INFO] - Train: 141 [ 50/65 ( 78%)] Loss: 0.029961 (0.0336) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (100.0000) Time: 0.821s, 146.23/s LR: 3.251e-04 P_Replacement: 0.10553151784419833 + +2023-08-09 17:07:31,124 - train: [ INFO] - Train: 141 [ 64/65 (100%)] Loss: 0.029177 (0.0333) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.817s, 146.85/s LR: 3.251e-04 P_Replacement: 0.10601323906188576 + +2023-08-09 17:07:32,739 - train: [ INFO] - Test: [ 0/7] Time: 1.402 (1.402) Loss: 0.5148 (0.5148) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:07:34,863 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.441) Loss: 0.5932 (0.5770) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (85.6322)Acc@5: 96.6667 (95.9770) + +2023-08-09 17:07:37,245 - train: [ INFO] - Train: 142 [ 0/65 ( 0%)] Loss: 0.029136 (0.0291) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.039s, 58.85/s LR: 3.221e-04 P_Replacement: 0.1060477037037037 + +2023-08-09 17:08:15,445 - train: [ INFO] - Train: 142 [ 50/65 ( 78%)] Loss: 0.036550 (0.0342) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.789s, 152.12/s LR: 3.221e-04 P_Replacement: 0.10778047532830964 + +2023-08-09 17:08:25,686 - train: [ INFO] - Train: 142 [ 64/65 (100%)] Loss: 0.033021 (0.0338) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (99.9872) Time: 0.776s, 154.55/s LR: 3.221e-04 P_Replacement: 0.1082690111679563 + +2023-08-09 17:08:27,090 - train: [ INFO] - Test: [ 0/7] Time: 1.238 (1.238) Loss: 0.6629 (0.6629) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:08:29,277 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.428) Loss: 0.4356 (0.6039) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (84.4828)Acc@5: 93.3333 (95.5172) + +2023-08-09 17:08:31,589 - train: [ INFO] - Train: 143 [ 0/65 ( 0%)] Loss: 0.027895 (0.0279) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.976s, 60.73/s LR: 3.191e-04 P_Replacement: 0.10830396296296298 + +2023-08-09 17:09:11,535 - train: [ INFO] - Train: 143 [ 50/65 ( 78%)] Loss: 0.037488 (0.0346) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.822s, 145.99/s LR: 3.191e-04 P_Replacement: 0.11006115930814749 + +2023-08-09 17:09:22,927 - train: [ INFO] - Train: 143 [ 64/65 (100%)] Loss: 0.037980 (0.0366) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.820s, 146.32/s LR: 3.191e-04 P_Replacement: 0.11055655763300123 + +2023-08-09 17:09:24,433 - train: [ INFO] - Test: [ 0/7] Time: 1.247 (1.247) Loss: 0.6367 (0.6367) cLoss: 0.0000 (0.0000) Acc@1: 82.5000 (82.5000)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:09:26,360 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.397) Loss: 0.2429 (0.5653) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (85.1724)Acc@5: 100.0000 (96.3218) + +2023-08-09 17:09:29,122 - train: [ INFO] - Train: 144 [ 0/65 ( 0%)] Loss: 0.049440 (0.0494) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.429s, 49.41/s LR: 3.161e-04 P_Replacement: 0.11059199999999998 + +2023-08-09 17:10:09,807 - train: [ INFO] - Train: 144 [ 50/65 ( 78%)] Loss: 0.039988 (0.0374) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (99.9837) Time: 0.845s, 141.96/s LR: 3.161e-04 P_Replacement: 0.112373792005934 + +2023-08-09 17:10:21,010 - train: [ INFO] - Train: 144 [ 64/65 (100%)] Loss: 0.038930 (0.0377) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (99.9872) Time: 0.835s, 143.66/s LR: 3.161e-04 P_Replacement: 0.11287610067924272 + +2023-08-09 17:10:22,327 - train: [ INFO] - Test: [ 0/7] Time: 1.100 (1.100) Loss: 0.5427 (0.5427) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:10:24,209 - train: [ INFO] - Test: [ 7/7] Time: 0.088 (0.373) Loss: 0.7443 (0.5369) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (86.3218)Acc@5: 93.3333 (95.4023) + +2023-08-09 17:10:26,399 - train: [ INFO] - Train: 145 [ 0/65 ( 0%)] Loss: 0.032429 (0.0324) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.817s, 66.06/s LR: 3.130e-04 P_Replacement: 0.11291203703703703 + +2023-08-09 17:11:06,555 - train: [ INFO] - Train: 145 [ 50/65 ( 78%)] Loss: 0.030639 (0.0350) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.823s, 145.82/s LR: 3.130e-04 P_Replacement: 0.1147185956438915 + +2023-08-09 17:11:17,969 - train: [ INFO] - Train: 145 [ 64/65 (100%)] Loss: 0.039015 (0.0359) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.821s, 146.12/s LR: 3.130e-04 P_Replacement: 0.11522786252890305 + +2023-08-09 17:11:19,328 - train: [ INFO] - Test: [ 0/7] Time: 1.200 (1.200) Loss: 0.4531 (0.4531) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:11:21,244 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.389) Loss: 0.3978 (0.5503) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (86.3218)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:11:23,739 - train: [ INFO] - Train: 146 [ 0/65 ( 0%)] Loss: 0.031166 (0.0312) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.037s, 58.92/s LR: 3.100e-04 P_Replacement: 0.11526429629629631 + +2023-08-09 17:12:03,348 - train: [ INFO] - Train: 146 [ 50/65 ( 78%)] Loss: 0.033775 (0.0345) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.817s, 146.97/s LR: 3.100e-04 P_Replacement: 0.11709579244424216 + +2023-08-09 17:12:14,246 - train: [ INFO] - Train: 146 [ 64/65 (100%)] Loss: 0.038517 (0.0350) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.808s, 148.46/s LR: 3.100e-04 P_Replacement: 0.11761206540420441 + +2023-08-09 17:12:15,554 - train: [ INFO] - Test: [ 0/7] Time: 1.161 (1.161) Loss: 0.3373 (0.3373) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:12:17,483 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.386) Loss: 0.6088 (0.5315) cLoss: 0.0000 (0.0000) Acc@1: 73.3333 (86.4368)Acc@5: 96.6667 (96.2069) + +2023-08-09 17:12:19,581 - train: [ INFO] - Train: 147 [ 0/65 ( 0%)] Loss: 0.035026 (0.0350) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.717s, 69.89/s LR: 3.070e-04 P_Replacement: 0.11764899999999999 + +2023-08-09 17:12:54,700 - train: [ INFO] - Train: 147 [ 50/65 ( 78%)] Loss: 0.031474 (0.0331) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.722s, 166.15/s LR: 3.070e-04 P_Replacement: 0.11950560462920817 + +2023-08-09 17:13:04,506 - train: [ INFO] - Train: 147 [ 64/65 (100%)] Loss: 0.031274 (0.0324) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.718s, 167.24/s LR: 3.070e-04 P_Replacement: 0.12002893152736896 + +2023-08-09 17:13:05,834 - train: [ INFO] - Test: [ 0/7] Time: 1.173 (1.173) Loss: 0.5619 (0.5619) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:13:07,580 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.365) Loss: 0.3700 (0.5029) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (87.1264)Acc@5: 96.6667 (96.4368) + +2023-08-09 17:13:09,598 - train: [ INFO] - Train: 148 [ 0/65 ( 0%)] Loss: 0.030680 (0.0307) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.692s, 70.93/s LR: 3.040e-04 P_Replacement: 0.12006637037037038 + +2023-08-09 17:13:44,712 - train: [ INFO] - Train: 148 [ 50/65 ( 78%)] Loss: 0.032407 (0.0333) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (99.9837) Time: 0.722s, 166.29/s LR: 3.040e-04 P_Replacement: 0.12194825442101181 + +2023-08-09 17:13:55,698 - train: [ INFO] - Train: 148 [ 64/65 (100%)] Loss: 0.026984 (0.0327) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (99.9872) Time: 0.735s, 163.22/s LR: 3.040e-04 P_Replacement: 0.12247868312061903 + +2023-08-09 17:13:57,035 - train: [ INFO] - Test: [ 0/7] Time: 1.182 (1.182) Loss: 0.3565 (0.3565) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:13:59,050 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.400) Loss: 0.7574 (0.5135) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (87.0115)Acc@5: 90.0000 (96.5517) + +2023-08-09 17:14:01,463 - train: [ INFO] - Train: 149 [ 0/65 ( 0%)] Loss: 0.041972 (0.0420) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.025s, 59.27/s LR: 3.010e-04 P_Replacement: 0.12251662962962961 + +2023-08-09 17:14:40,721 - train: [ INFO] - Train: 149 [ 50/65 ( 78%)] Loss: 0.025934 (0.0335) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.809s, 148.26/s LR: 3.010e-04 P_Replacement: 0.1244239640418753 + +2023-08-09 17:14:51,559 - train: [ INFO] - Train: 149 [ 64/65 (100%)] Loss: 0.034501 (0.0335) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.802s, 149.66/s LR: 3.010e-04 P_Replacement: 0.12496154240617675 + +2023-08-09 17:14:53,047 - train: [ INFO] - Test: [ 0/7] Time: 1.336 (1.336) Loss: 0.4104 (0.4104) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:14:55,013 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.413) Loss: 0.4264 (0.5167) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (86.5517)Acc@5: 100.0000 (96.6667) + +2023-08-09 17:14:57,583 - train: [ INFO] - Train: 150 [ 0/65 ( 0%)] Loss: 0.036298 (0.0363) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.180s, 55.04/s LR: 2.980e-04 P_Replacement: 0.125 + +2023-08-09 17:15:38,763 - train: [ INFO] - Train: 150 [ 50/65 ( 78%)] Loss: 0.026905 (0.0306) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.850s, 141.15/s LR: 2.980e-04 P_Replacement: 0.1269329557140208 + +2023-08-09 17:15:50,112 - train: [ INFO] - Train: 150 [ 64/65 (100%)] Loss: 0.036368 (0.0309) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.842s, 142.58/s LR: 2.980e-04 P_Replacement: 0.12747773160626444 + +2023-08-09 17:15:51,623 - train: [ INFO] - Test: [ 0/7] Time: 1.374 (1.374) Loss: 0.4906 (0.4906) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:15:53,514 - train: [ INFO] - Test: [ 7/7] Time: 0.081 (0.408) Loss: 0.3563 (0.5157) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (87.0115)Acc@5: 100.0000 (96.5517) + +2023-08-09 17:15:56,181 - train: [ INFO] - Train: 151 [ 0/65 ( 0%)] Loss: 0.033675 (0.0337) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.327s, 51.57/s LR: 2.950e-04 P_Replacement: 0.1275167037037037 + +2023-08-09 17:16:35,011 - train: [ INFO] - Train: 151 [ 50/65 ( 78%)] Loss: 0.033051 (0.0314) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.807s, 148.71/s LR: 2.950e-04 P_Replacement: 0.12947545165967056 + +2023-08-09 17:16:46,645 - train: [ INFO] - Train: 151 [ 64/65 (100%)] Loss: 0.029223 (0.0314) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.812s, 147.76/s LR: 2.950e-04 P_Replacement: 0.1300274729431042 + +2023-08-09 17:16:48,031 - train: [ INFO] - Test: [ 0/7] Time: 1.185 (1.185) Loss: 0.5784 (0.5784) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:16:50,230 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.423) Loss: 0.3391 (0.5379) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (86.3218)Acc@5: 100.0000 (96.4368) + +2023-08-09 17:16:52,730 - train: [ INFO] - Train: 152 [ 0/65 ( 0%)] Loss: 0.032043 (0.0320) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.088s, 57.47/s LR: 2.919e-04 P_Replacement: 0.130066962962963 + +2023-08-09 17:17:32,425 - train: [ INFO] - Train: 152 [ 50/65 ( 78%)] Loss: 0.030420 (0.0323) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (99.9837) Time: 0.819s, 146.48/s LR: 2.919e-04 P_Replacement: 0.1320516741010469 + +2023-08-09 17:17:43,766 - train: [ INFO] - Train: 152 [ 64/65 (100%)] Loss: 0.035550 (0.0326) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (99.9872) Time: 0.817s, 146.84/s LR: 2.919e-04 P_Replacement: 0.13261098863891843 + +2023-08-09 17:17:45,239 - train: [ INFO] - Test: [ 0/7] Time: 1.177 (1.177) Loss: 0.5174 (0.5174) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:17:47,438 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.422) Loss: 0.8988 (0.5492) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (85.0575)Acc@5: 96.6667 (96.8966) + +2023-08-09 17:17:49,751 - train: [ INFO] - Train: 153 [ 0/65 ( 0%)] Loss: 0.030331 (0.0303) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.978s, 60.66/s LR: 2.889e-04 P_Replacement: 0.13265100000000002 + +2023-08-09 17:18:31,081 - train: [ INFO] - Train: 153 [ 50/65 ( 78%)] Loss: 0.032590 (0.0310) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.849s, 141.32/s LR: 2.889e-04 P_Replacement: 0.1346618452603719 + +2023-08-09 17:18:41,697 - train: [ INFO] - Train: 153 [ 64/65 (100%)] Loss: 0.029578 (0.0314) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.830s, 144.66/s LR: 2.889e-04 P_Replacement: 0.13522850091592914 + +2023-08-09 17:18:42,989 - train: [ INFO] - Test: [ 0/7] Time: 1.086 (1.086) Loss: 0.5112 (0.5112) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:18:44,944 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.380) Loss: 0.4913 (0.5429) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.0920)Acc@5: 93.3333 (96.2069) + +2023-08-09 17:18:47,153 - train: [ INFO] - Train: 154 [ 0/65 ( 0%)] Loss: 0.029459 (0.0295) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.748s, 68.65/s LR: 2.859e-04 P_Replacement: 0.13526903703703702 + +2023-08-09 17:19:26,045 - train: [ INFO] - Train: 154 [ 50/65 ( 78%)] Loss: 0.029256 (0.0335) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.797s, 150.61/s LR: 2.859e-04 P_Replacement: 0.1373061873598678 + +2023-08-09 17:19:37,001 - train: [ INFO] - Train: 154 [ 64/65 (100%)] Loss: 0.033076 (0.0328) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.794s, 151.19/s LR: 2.859e-04 P_Replacement: 0.13788023199635865 + +2023-08-09 17:19:38,476 - train: [ INFO] - Test: [ 0/7] Time: 1.110 (1.110) Loss: 0.5092 (0.5092) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:19:40,463 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.387) Loss: 0.8802 (0.5632) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (85.7471)Acc@5: 90.0000 (96.7816) + +2023-08-09 17:19:42,861 - train: [ INFO] - Train: 155 [ 0/65 ( 0%)] Loss: 0.029298 (0.0293) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.025s, 59.24/s LR: 2.829e-04 P_Replacement: 0.13792129629629635 + +2023-08-09 17:20:22,781 - train: [ INFO] - Train: 155 [ 50/65 ( 78%)] Loss: 0.030334 (0.0295) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.822s, 145.91/s LR: 2.829e-04 P_Replacement: 0.13998492262175696 + +2023-08-09 17:20:33,592 - train: [ INFO] - Train: 155 [ 64/65 (100%)] Loss: 0.031340 (0.0297) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.812s, 147.86/s LR: 2.829e-04 P_Replacement: 0.14056640410242927 + +2023-08-09 17:20:34,976 - train: [ INFO] - Test: [ 0/7] Time: 1.251 (1.251) Loss: 0.3631 (0.3631) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:20:37,040 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.414) Loss: 0.3567 (0.5005) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (87.2414)Acc@5: 96.6667 (96.4368) + +2023-08-09 17:20:39,443 - train: [ INFO] - Train: 156 [ 0/65 ( 0%)] Loss: 0.028961 (0.0290) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.916s, 62.62/s LR: 2.799e-04 P_Replacement: 0.140608 + +2023-08-09 17:21:21,422 - train: [ INFO] - Train: 156 [ 50/65 ( 78%)] Loss: 0.027901 (0.0291) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.861s, 139.43/s LR: 2.799e-04 P_Replacement: 0.14269827326826143 + +2023-08-09 17:21:32,415 - train: [ INFO] - Train: 156 [ 64/65 (100%)] Loss: 0.029917 (0.0289) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.844s, 142.12/s LR: 2.799e-04 P_Replacement: 0.14328723945636307 + +2023-08-09 17:21:33,923 - train: [ INFO] - Test: [ 0/7] Time: 1.215 (1.215) Loss: 0.7213 (0.7213) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:21:36,098 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.424) Loss: 0.0896 (0.5374) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (86.6667)Acc@5: 100.0000 (95.4023) + +2023-08-09 17:21:38,402 - train: [ INFO] - Train: 157 [ 0/65 ( 0%)] Loss: 0.027835 (0.0278) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.980s, 60.62/s LR: 2.769e-04 P_Replacement: 0.14332937037037036 + +2023-08-09 17:22:18,372 - train: [ INFO] - Train: 157 [ 50/65 ( 78%)] Loss: 0.025297 (0.0281) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.822s, 145.90/s LR: 2.769e-04 P_Replacement: 0.1454464615216035 + +2023-08-09 17:22:29,093 - train: [ INFO] - Train: 157 [ 64/65 (100%)] Loss: 0.022408 (0.0278) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.810s, 148.10/s LR: 2.769e-04 P_Replacement: 0.14604296028038233 + +2023-08-09 17:22:30,563 - train: [ INFO] - Test: [ 0/7] Time: 1.168 (1.168) Loss: 0.6060 (0.6060) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:22:32,562 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.396) Loss: 1.2801 (0.5008) cLoss: 0.0000 (0.0000) Acc@1: 70.0000 (87.2414)Acc@5: 93.3333 (97.0115) + +2023-08-09 17:22:35,176 - train: [ INFO] - Train: 158 [ 0/65 ( 0%)] Loss: 0.031228 (0.0312) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.049s, 58.57/s LR: 2.739e-04 P_Replacement: 0.1460856296296296 + +2023-08-09 17:23:17,148 - train: [ INFO] - Train: 158 [ 50/65 ( 78%)] Loss: 0.028627 (0.0278) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.863s, 139.03/s LR: 2.739e-04 P_Replacement: 0.1482297096040055 + +2023-08-09 17:23:28,049 - train: [ INFO] - Train: 158 [ 64/65 (100%)] Loss: 0.027396 (0.0272) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.845s, 142.05/s LR: 2.739e-04 P_Replacement: 0.14883378879670928 + +2023-08-09 17:23:29,390 - train: [ INFO] - Test: [ 0/7] Time: 1.070 (1.070) Loss: 0.6567 (0.6567) cLoss: 0.0000 (0.0000) Acc@1: 81.6667 (81.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:23:31,387 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.383) Loss: 0.1882 (0.4797) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (87.9310)Acc@5: 100.0000 (97.2414) + +2023-08-09 17:23:32,119 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-158.pth.tar', 87.93103948132745) + +2023-08-09 17:23:34,213 - train: [ INFO] - Train: 159 [ 0/65 ( 0%)] Loss: 0.034032 (0.0340) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.040s, 58.81/s LR: 2.709e-04 P_Replacement: 0.148877 + +2023-08-09 17:24:14,336 - train: [ INFO] - Train: 159 [ 50/65 ( 78%)] Loss: 0.032825 (0.0297) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.827s, 145.16/s LR: 2.709e-04 P_Replacement: 0.15104823973768947 + +2023-08-09 17:24:25,972 - train: [ INFO] - Train: 159 [ 64/65 (100%)] Loss: 0.069893 (0.0317) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.828s, 144.99/s LR: 2.709e-04 P_Replacement: 0.15165994722756623 + +2023-08-09 17:24:27,205 - train: [ INFO] - Test: [ 0/7] Time: 0.993 (0.993) Loss: 0.3308 (0.3308) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:24:29,332 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.390) Loss: 0.7414 (0.5117) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (86.5517)Acc@5: 93.3333 (96.4368) + +2023-08-09 17:24:31,664 - train: [ INFO] - Train: 160 [ 0/65 ( 0%)] Loss: 0.032587 (0.0326) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.957s, 61.32/s LR: 2.679e-04 P_Replacement: 0.1517037037037037 + +2023-08-09 17:25:12,732 - train: [ INFO] - Train: 160 [ 50/65 ( 78%)] Loss: 0.039907 (0.0307) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.844s, 142.25/s LR: 2.679e-04 P_Replacement: 0.15390227414487767 + +2023-08-09 17:25:24,435 - train: [ INFO] - Train: 160 [ 64/65 (100%)] Loss: 0.029951 (0.0321) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.842s, 142.54/s LR: 2.679e-04 P_Replacement: 0.15452165779517524 + +2023-08-09 17:25:25,724 - train: [ INFO] - Test: [ 0/7] Time: 1.054 (1.054) Loss: 0.6680 (0.6680) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:25:27,677 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.376) Loss: 0.7370 (0.5385) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (86.8966)Acc@5: 93.3333 (97.0115) + +2023-08-09 17:25:30,207 - train: [ INFO] - Train: 161 [ 0/65 ( 0%)] Loss: 0.039811 (0.0398) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.174s, 55.19/s LR: 2.649e-04 P_Replacement: 0.15456596296296293 + +2023-08-09 17:26:11,371 - train: [ INFO] - Train: 161 [ 50/65 ( 78%)] Loss: 0.029481 (0.0313) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.849s, 141.28/s LR: 2.649e-04 P_Replacement: 0.1567920350477924 + +2023-08-09 17:26:22,960 - train: [ INFO] - Train: 161 [ 64/65 (100%)] Loss: 0.029356 (0.0308) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.845s, 142.06/s LR: 2.649e-04 P_Replacement: 0.15741914272175858 + +2023-08-09 17:26:24,410 - train: [ INFO] - Test: [ 0/7] Time: 1.298 (1.298) Loss: 0.4548 (0.4548) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:26:26,409 - train: [ INFO] - Test: [ 7/7] Time: 0.079 (0.412) Loss: 0.3212 (0.4690) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (87.3563)Acc@5: 100.0000 (96.8966) + +2023-08-09 17:26:28,858 - train: [ INFO] - Train: 162 [ 0/65 ( 0%)] Loss: 0.023637 (0.0236) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.128s, 56.38/s LR: 2.619e-04 P_Replacement: 0.15746400000000002 + +2023-08-09 17:27:09,423 - train: [ INFO] - Train: 162 [ 50/65 ( 78%)] Loss: 0.026728 (0.0285) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.837s, 143.36/s LR: 2.619e-04 P_Replacement: 0.15971774466865593 + +2023-08-09 17:27:20,484 - train: [ INFO] - Train: 162 [ 64/65 (100%)] Loss: 0.027672 (0.0285) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.827s, 145.11/s LR: 2.619e-04 P_Replacement: 0.16035262422953864 + +2023-08-09 17:27:21,742 - train: [ INFO] - Test: [ 0/7] Time: 1.020 (1.020) Loss: 0.5578 (0.5578) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:27:23,718 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.375) Loss: 0.5094 (0.5185) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (86.4368)Acc@5: 96.6667 (96.4368) + +2023-08-09 17:27:26,120 - train: [ INFO] - Train: 163 [ 0/65 ( 0%)] Loss: 0.032938 (0.0329) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.048s, 58.58/s LR: 2.589e-04 P_Replacement: 0.16039803703703703 + +2023-08-09 17:28:06,207 - train: [ INFO] - Train: 163 [ 50/65 ( 78%)] Loss: 0.026378 (0.0266) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.826s, 145.26/s LR: 2.589e-04 P_Replacement: 0.16267962522969032 + +2023-08-09 17:28:17,745 - train: [ INFO] - Train: 163 [ 64/65 (100%)] Loss: 0.027141 (0.0264) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.826s, 145.33/s LR: 2.589e-04 P_Replacement: 0.16332232454073736 + +2023-08-09 17:28:19,042 - train: [ INFO] - Test: [ 0/7] Time: 1.156 (1.156) Loss: 0.3532 (0.3532) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:28:21,039 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.394) Loss: 0.0970 (0.4630) cLoss: 0.0000 (0.0000) Acc@1: 100.0000 (88.0460)Acc@5: 100.0000 (96.8966) + +2023-08-09 17:28:21,516 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-163.pth.tar', 88.04598393933526) + +2023-08-09 17:28:23,652 - train: [ INFO] - Train: 164 [ 0/65 ( 0%)] Loss: 0.029416 (0.0294) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.117s, 56.67/s LR: 2.559e-04 P_Replacement: 0.16336829629629626 + +2023-08-09 17:29:06,862 - train: [ INFO] - Train: 164 [ 50/65 ( 78%)] Loss: 0.025262 (0.0256) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.889s, 135.02/s LR: 2.559e-04 P_Replacement: 0.16567789895311785 + +2023-08-09 17:29:17,818 - train: [ INFO] - Train: 164 [ 64/65 (100%)] Loss: 0.029122 (0.0258) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.866s, 138.59/s LR: 2.559e-04 P_Replacement: 0.16632846587757713 + +2023-08-09 17:29:19,188 - train: [ INFO] - Test: [ 0/7] Time: 1.086 (1.086) Loss: 0.6889 (0.6889) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 94.1667 (94.1667) + +2023-08-09 17:29:21,178 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.385) Loss: 0.3737 (0.4606) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.1264)Acc@5: 100.0000 (96.8966) + +2023-08-09 17:29:23,472 - train: [ INFO] - Train: 165 [ 0/65 ( 0%)] Loss: 0.025171 (0.0252) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.963s, 61.12/s LR: 2.529e-04 P_Replacement: 0.16637500000000005 + +2023-08-09 17:30:03,998 - train: [ INFO] - Train: 165 [ 50/65 ( 78%)] Loss: 0.024225 (0.0256) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.833s, 144.07/s LR: 2.529e-04 P_Replacement: 0.16871278806116088 + +2023-08-09 17:30:14,950 - train: [ INFO] - Train: 165 [ 64/65 (100%)] Loss: 0.021017 (0.0254) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.822s, 145.99/s LR: 2.529e-04 P_Replacement: 0.16937127046228026 + +2023-08-09 17:30:16,411 - train: [ INFO] - Test: [ 0/7] Time: 1.162 (1.162) Loss: 0.4893 (0.4893) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:30:18,505 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.407) Loss: 0.3748 (0.4480) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.7012)Acc@5: 96.6667 (97.0115) + +2023-08-09 17:30:21,197 - train: [ INFO] - Train: 166 [ 0/65 ( 0%)] Loss: 0.018855 (0.0189) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.371s, 50.60/s LR: 2.499e-04 P_Replacement: 0.16941837037037039 + +2023-08-09 17:31:04,306 - train: [ INFO] - Train: 166 [ 50/65 ( 78%)] Loss: 0.020565 (0.0255) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.892s, 134.57/s LR: 2.499e-04 P_Replacement: 0.1717845147760414 + +2023-08-09 17:31:16,442 - train: [ INFO] - Train: 166 [ 64/65 (100%)] Loss: 0.023409 (0.0253) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.886s, 135.38/s LR: 2.499e-04 P_Replacement: 0.17245096051706874 + +2023-08-09 17:31:17,725 - train: [ INFO] - Test: [ 0/7] Time: 1.038 (1.038) Loss: 0.5673 (0.5673) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:31:19,610 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.365) Loss: 0.3125 (0.4950) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (85.9770)Acc@5: 96.6667 (96.5517) + +2023-08-09 17:31:21,818 - train: [ INFO] - Train: 167 [ 0/65 ( 0%)] Loss: 0.021847 (0.0218) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.879s, 63.85/s LR: 2.470e-04 P_Replacement: 0.1724986296296296 + +2023-08-09 17:32:02,349 - train: [ INFO] - Train: 167 [ 50/65 ( 78%)] Loss: 0.024146 (0.0262) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.832s, 144.31/s LR: 2.470e-04 P_Replacement: 0.17489330131998176 + +2023-08-09 17:32:13,200 - train: [ INFO] - Train: 167 [ 64/65 (100%)] Loss: 0.028243 (0.0266) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.819s, 146.46/s LR: 2.470e-04 P_Replacement: 0.1755677582641649 + +2023-08-09 17:32:14,631 - train: [ INFO] - Test: [ 0/7] Time: 1.092 (1.092) Loss: 0.5594 (0.5594) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:32:16,652 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.389) Loss: 0.4641 (0.4960) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (86.6667)Acc@5: 100.0000 (96.4368) + +2023-08-09 17:32:18,946 - train: [ INFO] - Train: 168 [ 0/65 ( 0%)] Loss: 0.030790 (0.0308) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.923s, 62.40/s LR: 2.440e-04 P_Replacement: 0.17561600000000005 + +2023-08-09 17:33:00,442 - train: [ INFO] - Train: 168 [ 50/65 ( 78%)] Loss: 0.024612 (0.0254) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.851s, 140.96/s LR: 2.440e-04 P_Replacement: 0.17803936991520428 + +2023-08-09 17:33:11,454 - train: [ INFO] - Train: 168 [ 64/65 (100%)] Loss: 0.026258 (0.0250) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.837s, 143.31/s LR: 2.440e-04 P_Replacement: 0.1787218859257911 + +2023-08-09 17:33:12,896 - train: [ INFO] - Test: [ 0/7] Time: 1.273 (1.273) Loss: 0.2972 (0.2972) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:33:14,905 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.410) Loss: 0.4485 (0.4823) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.3563)Acc@5: 96.6667 (97.0115) + +2023-08-09 17:33:17,228 - train: [ INFO] - Train: 169 [ 0/65 ( 0%)] Loss: 0.025579 (0.0256) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.939s, 61.89/s LR: 2.410e-04 P_Replacement: 0.1787707037037037 + +2023-08-09 17:33:58,052 - train: [ INFO] - Train: 169 [ 50/65 ( 78%)] Loss: 0.023538 (0.0253) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.838s, 143.12/s LR: 2.410e-04 P_Replacement: 0.18122294278393095 + +2023-08-09 17:34:09,686 - train: [ INFO] - Train: 169 [ 64/65 (100%)] Loss: 0.026098 (0.0254) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.837s, 143.40/s LR: 2.410e-04 P_Replacement: 0.18191356572416933 + +2023-08-09 17:34:11,016 - train: [ INFO] - Test: [ 0/7] Time: 1.115 (1.115) Loss: 0.3510 (0.3510) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:34:13,025 - train: [ INFO] - Test: [ 7/7] Time: 0.080 (0.391) Loss: 0.2995 (0.4821) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (86.5517)Acc@5: 96.6667 (96.0920) + +2023-08-09 17:34:15,469 - train: [ INFO] - Train: 170 [ 0/65 ( 0%)] Loss: 0.021144 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.920s, 62.51/s LR: 2.381e-04 P_Replacement: 0.18196296296296294 + +2023-08-09 17:34:55,746 - train: [ INFO] - Train: 170 [ 50/65 ( 78%)] Loss: 0.031447 (0.0245) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.827s, 145.07/s LR: 2.381e-04 P_Replacement: 0.18444424214838415 + +2023-08-09 17:35:06,538 - train: [ INFO] - Train: 170 [ 64/65 (100%)] Loss: 0.023125 (0.0244) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.815s, 147.23/s LR: 2.381e-04 P_Replacement: 0.18514301988152193 + +2023-08-09 17:35:08,042 - train: [ INFO] - Test: [ 0/7] Time: 1.118 (1.118) Loss: 0.8052 (0.8052) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (83.3333)Acc@5: 93.3333 (93.3333) + +2023-08-09 17:35:10,151 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.403) Loss: 0.4227 (0.4624) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (87.5862)Acc@5: 96.6667 (96.5517) + +2023-08-09 17:35:12,455 - train: [ INFO] - Train: 171 [ 0/65 ( 0%)] Loss: 0.019884 (0.0199) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.972s, 60.84/s LR: 2.352e-04 P_Replacement: 0.18519299999999994 + +2023-08-09 17:35:53,479 - train: [ INFO] - Train: 171 [ 50/65 ( 78%)] Loss: 0.022846 (0.0236) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.843s, 142.35/s LR: 2.352e-04 P_Replacement: 0.18770349023078614 + +2023-08-09 17:36:04,177 - train: [ INFO] - Train: 171 [ 64/65 (100%)] Loss: 0.023483 (0.0237) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.826s, 145.28/s LR: 2.352e-04 P_Replacement: 0.1884104706200711 + +2023-08-09 17:36:05,508 - train: [ INFO] - Test: [ 0/7] Time: 1.022 (1.022) Loss: 0.3712 (0.3712) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:36:07,766 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.410) Loss: 0.1573 (0.4535) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (87.7012)Acc@5: 100.0000 (96.7816) + +2023-08-09 17:36:10,057 - train: [ INFO] - Train: 172 [ 0/65 ( 0%)] Loss: 0.024017 (0.0240) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.901s, 63.14/s LR: 2.322e-04 P_Replacement: 0.18846103703703707 + +2023-08-09 17:36:50,892 - train: [ INFO] - Train: 172 [ 50/65 ( 78%)] Loss: 0.027574 (0.0235) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.838s, 143.21/s LR: 2.322e-04 P_Replacement: 0.19100090925335897 + +2023-08-09 17:37:02,592 - train: [ INFO] - Train: 172 [ 64/65 (100%)] Loss: 0.026208 (0.0237) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.837s, 143.30/s LR: 2.322e-04 P_Replacement: 0.19171614016203917 + +2023-08-09 17:37:04,072 - train: [ INFO] - Test: [ 0/7] Time: 1.259 (1.259) Loss: 0.3195 (0.3195) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 99.1667 (99.1667) + +2023-08-09 17:37:06,279 - train: [ INFO] - Test: [ 7/7] Time: 0.089 (0.433) Loss: 0.1227 (0.4373) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (88.3908)Acc@5: 100.0000 (97.0115) + +2023-08-09 17:37:06,671 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-172.pth.tar', 88.39080994704673) + +2023-08-09 17:37:09,076 - train: [ INFO] - Train: 173 [ 0/65 ( 0%)] Loss: 0.019631 (0.0196) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.404s, 49.93/s LR: 2.293e-04 P_Replacement: 0.1917672962962963 + +2023-08-09 17:37:51,296 - train: [ INFO] - Train: 173 [ 50/65 ( 78%)] Loss: 0.022615 (0.0228) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.875s, 137.15/s LR: 2.293e-04 P_Replacement: 0.19433672143832498 + +2023-08-09 17:38:02,272 - train: [ INFO] - Train: 173 [ 64/65 (100%)] Loss: 0.025873 (0.0228) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.855s, 140.29/s LR: 2.293e-04 P_Replacement: 0.19506025072964817 + +2023-08-09 17:38:03,667 - train: [ INFO] - Test: [ 0/7] Time: 1.241 (1.241) Loss: 0.3249 (0.3249) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 99.1667 (99.1667) + +2023-08-09 17:38:05,530 - train: [ INFO] - Test: [ 7/7] Time: 0.083 (0.388) Loss: 0.3819 (0.4386) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.7356)Acc@5: 96.6667 (97.0115) + +2023-08-09 17:38:05,905 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-173.pth.tar', 88.73563805941878) + +2023-08-09 17:38:07,656 - train: [ INFO] - Train: 174 [ 0/65 ( 0%)] Loss: 0.020913 (0.0209) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.728s, 69.44/s LR: 2.264e-04 P_Replacement: 0.19511199999999995 + +2023-08-09 17:38:48,213 - train: [ INFO] - Train: 174 [ 50/65 ( 78%)] Loss: 0.023538 (0.0228) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.829s, 144.77/s LR: 2.264e-04 P_Replacement: 0.19771114900790634 + +2023-08-09 17:38:59,133 - train: [ INFO] - Train: 174 [ 64/65 (100%)] Loss: 0.018941 (0.0226) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.818s, 146.64/s LR: 2.264e-04 P_Replacement: 0.19844302454512042 + +2023-08-09 17:39:00,373 - train: [ INFO] - Test: [ 0/7] Time: 1.084 (1.084) Loss: 0.4289 (0.4289) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:39:02,576 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.411) Loss: 0.2862 (0.4234) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.7356)Acc@5: 100.0000 (97.1264) + +2023-08-09 17:39:04,868 - train: [ INFO] - Train: 175 [ 0/65 ( 0%)] Loss: 0.021644 (0.0216) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.923s, 62.39/s LR: 2.234e-04 P_Replacement: 0.1984953703703704 + +2023-08-09 17:39:44,756 - train: [ INFO] - Train: 175 [ 50/65 ( 78%)] Loss: 0.026777 (0.0226) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.820s, 146.38/s LR: 2.234e-04 P_Replacement: 0.20112441418432545 + +2023-08-09 17:39:56,483 - train: [ INFO] - Train: 175 [ 64/65 (100%)] Loss: 0.022066 (0.0226) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.824s, 145.70/s LR: 2.234e-04 P_Replacement: 0.20186468383067824 + +2023-08-09 17:39:57,862 - train: [ INFO] - Test: [ 0/7] Time: 1.152 (1.152) Loss: 0.3645 (0.3645) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:39:59,878 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.396) Loss: 0.3595 (0.4374) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.5058)Acc@5: 96.6667 (96.8966) + +2023-08-09 17:40:02,156 - train: [ INFO] - Train: 176 [ 0/65 ( 0%)] Loss: 0.022021 (0.0220) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.956s, 61.34/s LR: 2.205e-04 P_Replacement: 0.20191762962962964 + +2023-08-09 17:40:45,280 - train: [ INFO] - Train: 176 [ 50/65 ( 78%)] Loss: 0.018274 (0.0217) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.884s, 135.77/s LR: 2.205e-04 P_Replacement: 0.20457673918980426 + +2023-08-09 17:40:56,025 - train: [ INFO] - Train: 176 [ 64/65 (100%)] Loss: 0.027001 (0.0215) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.859s, 139.74/s LR: 2.205e-04 P_Replacement: 0.20532545080854364 + +2023-08-09 17:40:57,288 - train: [ INFO] - Test: [ 0/7] Time: 0.995 (0.995) Loss: 0.5555 (0.5555) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:40:59,586 - train: [ INFO] - Test: [ 7/7] Time: 0.088 (0.412) Loss: 0.4246 (0.4341) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (88.2759)Acc@5: 96.6667 (97.2414) + +2023-08-09 17:41:01,776 - train: [ INFO] - Train: 177 [ 0/65 ( 0%)] Loss: 0.019869 (0.0199) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.673s, 71.74/s LR: 2.176e-04 P_Replacement: 0.20537899999999998 + +2023-08-09 17:41:44,098 - train: [ INFO] - Train: 177 [ 50/65 ( 78%)] Loss: 0.021279 (0.0226) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.862s, 139.16/s LR: 2.176e-04 P_Replacement: 0.20806834624656514 + +2023-08-09 17:41:55,714 - train: [ INFO] - Train: 177 [ 64/65 (100%)] Loss: 0.021438 (0.0225) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.855s, 140.30/s LR: 2.176e-04 P_Replacement: 0.20882554770093895 + +2023-08-09 17:41:56,983 - train: [ INFO] - Test: [ 0/7] Time: 1.125 (1.125) Loss: 0.5556 (0.5556) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:41:59,154 - train: [ INFO] - Test: [ 7/7] Time: 0.177 (0.412) Loss: 0.9288 (0.4585) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (88.7356)Acc@5: 83.3333 (96.6667) + +2023-08-09 17:42:01,483 - train: [ INFO] - Train: 178 [ 0/65 ( 0%)] Loss: 0.019142 (0.0191) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.006s, 59.82/s LR: 2.147e-04 P_Replacement: 0.20887970370370376 + +2023-08-09 17:42:41,355 - train: [ INFO] - Train: 178 [ 50/65 ( 78%)] Loss: 0.028366 (0.0232) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.821s, 146.15/s LR: 2.147e-04 P_Replacement: 0.2115994575768304 + +2023-08-09 17:42:52,860 - train: [ INFO] - Train: 178 [ 64/65 (100%)] Loss: 0.019499 (0.0233) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.821s, 146.12/s LR: 2.147e-04 P_Replacement: 0.21236519673008653 + +2023-08-09 17:42:54,079 - train: [ INFO] - Test: [ 0/7] Time: 1.008 (1.008) Loss: 0.6203 (0.6203) cLoss: 0.0000 (0.0000) Acc@1: 84.1667 (84.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:42:56,176 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.388) Loss: 0.4308 (0.4479) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (87.5862)Acc@5: 96.6667 (97.1264) + +2023-08-09 17:42:58,415 - train: [ INFO] - Train: 179 [ 0/65 ( 0%)] Loss: 0.022926 (0.0229) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.708s, 70.26/s LR: 2.119e-04 P_Replacement: 0.21241996296296298 + +2023-08-09 17:43:38,750 - train: [ INFO] - Train: 179 [ 50/65 ( 78%)] Loss: 0.022171 (0.0223) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.824s, 145.58/s LR: 2.119e-04 P_Replacement: 0.21517029540282204 + +2023-08-09 17:43:49,707 - train: [ INFO] - Train: 179 [ 64/65 (100%)] Loss: 0.022137 (0.0222) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.815s, 147.18/s LR: 2.119e-04 P_Replacement: 0.21594462011820834 + +2023-08-09 17:43:51,098 - train: [ INFO] - Test: [ 0/7] Time: 1.234 (1.234) Loss: 0.5284 (0.5284) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:43:53,003 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.392) Loss: 0.6081 (0.4563) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (88.3908)Acc@5: 100.0000 (96.8966) + +2023-08-09 17:43:55,279 - train: [ INFO] - Train: 180 [ 0/65 ( 0%)] Loss: 0.021804 (0.0218) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.972s, 60.87/s LR: 2.090e-04 P_Replacement: 0.21599999999999997 + +2023-08-09 17:44:38,057 - train: [ INFO] - Train: 180 [ 50/65 ( 78%)] Loss: 0.021437 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.877s, 136.77/s LR: 2.090e-04 P_Replacement: 0.21878108194676238 + +2023-08-09 17:44:49,166 - train: [ INFO] - Train: 180 [ 64/65 (100%)] Loss: 0.024204 (0.0221) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.859s, 139.65/s LR: 2.090e-04 P_Replacement: 0.21956404008752672 + +2023-08-09 17:44:50,578 - train: [ INFO] - Test: [ 0/7] Time: 1.261 (1.261) Loss: 0.2708 (0.2708) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 100.0000 (100.0000) + +2023-08-09 17:44:52,641 - train: [ INFO] - Test: [ 7/7] Time: 0.184 (0.416) Loss: 0.4969 (0.4233) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (88.2759)Acc@5: 93.3333 (97.1264) + +2023-08-09 17:44:55,440 - train: [ INFO] - Train: 181 [ 0/65 ( 0%)] Loss: 0.019760 (0.0198) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.316s, 51.81/s LR: 2.061e-04 P_Replacement: 0.21962003703703709 + +2023-08-09 17:45:37,592 - train: [ INFO] - Train: 181 [ 50/65 ( 78%)] Loss: 0.024810 (0.0217) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.872s, 137.64/s LR: 2.061e-04 P_Replacement: 0.2224320394308738 + +2023-08-09 17:45:49,141 - train: [ INFO] - Train: 181 [ 64/65 (100%)] Loss: 0.017951 (0.0215) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.862s, 139.25/s LR: 2.061e-04 P_Replacement: 0.22322367886026406 + +2023-08-09 17:45:50,678 - train: [ INFO] - Test: [ 0/7] Time: 1.340 (1.340) Loss: 0.4794 (0.4794) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:45:52,571 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.404) Loss: 0.1574 (0.4017) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (89.5402)Acc@5: 100.0000 (97.3563) + +2023-08-09 17:45:53,026 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-181.pth.tar', 89.54023348051926) + +2023-08-09 17:45:54,923 - train: [ INFO] - Train: 182 [ 0/65 ( 0%)] Loss: 0.017486 (0.0175) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.872s, 64.12/s LR: 2.033e-04 P_Replacement: 0.2232802962962963 + +2023-08-09 17:46:36,757 - train: [ INFO] - Train: 182 [ 50/65 ( 78%)] Loss: 0.021797 (0.0209) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.857s, 140.05/s LR: 2.033e-04 P_Replacement: 0.22612339007737825 + +2023-08-09 17:46:48,602 - train: [ INFO] - Train: 182 [ 64/65 (100%)] Loss: 0.019943 (0.0212) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.855s, 140.43/s LR: 2.033e-04 P_Replacement: 0.22692375865864228 + +2023-08-09 17:46:49,984 - train: [ INFO] - Test: [ 0/7] Time: 1.218 (1.218) Loss: 0.3368 (0.3368) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:46:52,170 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.425) Loss: 0.8929 (0.4261) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (88.9655)Acc@5: 96.6667 (97.0115) + +2023-08-09 17:46:54,512 - train: [ INFO] - Train: 183 [ 0/65 ( 0%)] Loss: 0.024624 (0.0246) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.967s, 61.00/s LR: 2.004e-04 P_Replacement: 0.226981 + +2023-08-09 17:47:37,575 - train: [ INFO] - Train: 183 [ 50/65 ( 78%)] Loss: 0.019096 (0.0210) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.883s, 135.92/s LR: 2.004e-04 P_Replacement: 0.22985535610849808 + +2023-08-09 17:47:48,439 - train: [ INFO] - Train: 183 [ 64/65 (100%)] Loss: 0.019951 (0.0210) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.860s, 139.56/s LR: 2.004e-04 P_Replacement: 0.23066450170488376 + +2023-08-09 17:47:49,966 - train: [ INFO] - Test: [ 0/7] Time: 1.380 (1.380) Loss: 0.3181 (0.3181) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:47:52,043 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.432) Loss: 0.2310 (0.4138) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (89.1954)Acc@5: 100.0000 (96.8966) + +2023-08-09 17:47:54,292 - train: [ INFO] - Train: 184 [ 0/65 ( 0%)] Loss: 0.026743 (0.0267) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.862s, 64.46/s LR: 1.976e-04 P_Replacement: 0.23072237037037033 + +2023-08-09 17:48:33,648 - train: [ INFO] - Train: 184 [ 50/65 ( 78%)] Loss: 0.022186 (0.0210) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.808s, 148.48/s LR: 1.976e-04 P_Replacement: 0.23362815974645568 + +2023-08-09 17:48:45,470 - train: [ INFO] - Train: 184 [ 64/65 (100%)] Loss: 0.025004 (0.0215) Acc@1: 99.1667 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.816s, 147.07/s LR: 1.976e-04 P_Replacement: 0.2344461302212107 + +2023-08-09 17:48:46,890 - train: [ INFO] - Test: [ 0/7] Time: 1.285 (1.285) Loss: 0.3693 (0.3693) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 99.1667 (99.1667) + +2023-08-09 17:48:48,876 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.409) Loss: 0.1961 (0.4277) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (89.3103)Acc@5: 100.0000 (97.3563) + +2023-08-09 17:48:51,040 - train: [ INFO] - Train: 185 [ 0/65 ( 0%)] Loss: 0.022100 (0.0221) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.848s, 64.93/s LR: 1.948e-04 P_Replacement: 0.23450462962962967 + +2023-08-09 17:49:31,147 - train: [ INFO] - Train: 185 [ 50/65 ( 78%)] Loss: 0.023192 (0.0229) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.823s, 145.89/s LR: 1.948e-04 P_Replacement: 0.23744202321347294 + +2023-08-09 17:49:42,889 - train: [ INFO] - Train: 185 [ 64/65 (100%)] Loss: 0.022995 (0.0228) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.826s, 145.28/s LR: 1.948e-04 P_Replacement: 0.23826886642984543 + +2023-08-09 17:49:44,394 - train: [ INFO] - Test: [ 0/7] Time: 1.239 (1.239) Loss: 0.3402 (0.3402) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:49:46,348 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.399) Loss: 0.8292 (0.4241) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (88.9655)Acc@5: 93.3333 (97.2414) + +2023-08-09 17:49:48,772 - train: [ INFO] - Train: 186 [ 0/65 ( 0%)] Loss: 0.021909 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.114s, 56.76/s LR: 1.920e-04 P_Replacement: 0.23832799999999998 + +2023-08-09 17:50:30,386 - train: [ INFO] - Train: 186 [ 50/65 ( 78%)] Loss: 0.017246 (0.0214) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.857s, 139.96/s LR: 1.920e-04 P_Replacement: 0.24129716873177226 + +2023-08-09 17:50:41,189 - train: [ INFO] - Train: 186 [ 64/65 (100%)] Loss: 0.023347 (0.0212) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.839s, 143.06/s LR: 1.920e-04 P_Replacement: 0.24213293255301 + +2023-08-09 17:50:42,745 - train: [ INFO] - Test: [ 0/7] Time: 1.326 (1.326) Loss: 0.5222 (0.5222) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.0000 (95.0000) + +2023-08-09 17:50:44,837 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.427) Loss: 0.4681 (0.3956) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (91.2644)Acc@5: 96.6667 (97.3563) + +2023-08-09 17:50:45,150 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-186.pth.tar', 91.26437193771889) + +2023-08-09 17:50:47,054 - train: [ INFO] - Train: 187 [ 0/65 ( 0%)] Loss: 0.017549 (0.0175) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.885s, 63.67/s LR: 1.892e-04 P_Replacement: 0.24219270370370366 + +2023-08-09 17:51:31,408 - train: [ INFO] - Train: 187 [ 50/65 ( 78%)] Loss: 0.019225 (0.0204) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.906s, 132.41/s LR: 1.892e-04 P_Replacement: 0.24519381852357586 + +2023-08-09 17:51:42,717 - train: [ INFO] - Train: 187 [ 64/65 (100%)] Loss: 0.017111 (0.0203) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.885s, 135.58/s LR: 1.892e-04 P_Replacement: 0.24603855081292667 + +2023-08-09 17:51:44,145 - train: [ INFO] - Test: [ 0/7] Time: 1.220 (1.220) Loss: 0.4820 (0.4820) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:51:46,272 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.418) Loss: 0.6931 (0.4073) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (89.7701)Acc@5: 90.0000 (97.2414) + +2023-08-09 17:51:48,413 - train: [ INFO] - Train: 188 [ 0/65 ( 0%)] Loss: 0.024569 (0.0246) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.850s, 64.88/s LR: 1.864e-04 P_Replacement: 0.24609896296296302 + +2023-08-09 17:52:28,711 - train: [ INFO] - Train: 188 [ 50/65 ( 78%)] Loss: 0.020214 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.826s, 145.21/s LR: 1.864e-04 P_Replacement: 0.2491321948111061 + +2023-08-09 17:52:40,609 - train: [ INFO] - Train: 188 [ 64/65 (100%)] Loss: 0.021703 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.831s, 144.33/s LR: 1.864e-04 P_Replacement: 0.24998594343181785 + +2023-08-09 17:52:42,041 - train: [ INFO] - Test: [ 0/7] Time: 1.144 (1.144) Loss: 0.5268 (0.5268) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:52:44,084 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.398) Loss: 0.4483 (0.4092) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (89.3103)Acc@5: 96.6667 (97.5862) + +2023-08-09 17:52:46,357 - train: [ INFO] - Train: 189 [ 0/65 ( 0%)] Loss: 0.016261 (0.0163) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.910s, 62.84/s LR: 1.836e-04 P_Replacement: 0.250047 + +2023-08-09 17:53:28,386 - train: [ INFO] - Train: 189 [ 50/65 ( 78%)] Loss: 0.021806 (0.0219) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.861s, 139.29/s LR: 1.836e-04 P_Replacement: 0.2531125198165849 + +2023-08-09 17:53:39,051 - train: [ INFO] - Train: 189 [ 64/65 (100%)] Loss: 0.022224 (0.0220) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.840s, 142.86/s LR: 1.836e-04 P_Replacement: 0.25397533263190547 + +2023-08-09 17:53:40,568 - train: [ INFO] - Test: [ 0/7] Time: 1.138 (1.138) Loss: 0.2319 (0.2319) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 99.1667 (99.1667) + +2023-08-09 17:53:42,475 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.381) Loss: 0.2444 (0.4201) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (89.4253)Acc@5: 100.0000 (97.4713) + +2023-08-09 17:53:45,314 - train: [ INFO] - Train: 190 [ 0/65 ( 0%)] Loss: 0.027360 (0.0274) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.139s, 56.10/s LR: 1.808e-04 P_Replacement: 0.254037037037037 + +2023-08-09 17:54:27,355 - train: [ INFO] - Train: 190 [ 50/65 ( 78%)] Loss: 0.026110 (0.0215) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.866s, 138.53/s LR: 1.808e-04 P_Replacement: 0.25713501576223463 + +2023-08-09 17:54:37,980 - train: [ INFO] - Train: 190 [ 64/65 (100%)] Loss: 0.022013 (0.0216) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.843s, 142.35/s LR: 1.808e-04 P_Replacement: 0.2580069406354119 + +2023-08-09 17:54:39,438 - train: [ INFO] - Test: [ 0/7] Time: 1.311 (1.311) Loss: 0.4379 (0.4379) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 17:54:41,363 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.405) Loss: 0.8567 (0.4480) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (88.2759)Acc@5: 93.3333 (97.1264) + +2023-08-09 17:54:43,589 - train: [ INFO] - Train: 191 [ 0/65 ( 0%)] Loss: 0.019841 (0.0198) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.771s, 67.78/s LR: 1.781e-04 P_Replacement: 0.2580692962962964 + +2023-08-09 17:55:24,807 - train: [ INFO] - Train: 191 [ 50/65 ( 78%)] Loss: 0.021677 (0.0237) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.843s, 142.39/s LR: 1.781e-04 P_Replacement: 0.2611999048702777 + +2023-08-09 17:55:36,168 - train: [ INFO] - Train: 191 [ 64/65 (100%)] Loss: 0.019924 (0.0235) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.836s, 143.55/s LR: 1.781e-04 P_Replacement: 0.26208098966455945 + +2023-08-09 17:55:37,564 - train: [ INFO] - Test: [ 0/7] Time: 1.183 (1.183) Loss: 0.2851 (0.2851) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 99.1667 (99.1667) + +2023-08-09 17:55:39,506 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.391) Loss: 0.7817 (0.4223) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (88.9655)Acc@5: 93.3333 (96.6667) + +2023-08-09 17:55:41,713 - train: [ INFO] - Train: 192 [ 0/65 ( 0%)] Loss: 0.030932 (0.0309) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.888s, 63.55/s LR: 1.754e-04 P_Replacement: 0.26214400000000004 + +2023-08-09 17:56:21,917 - train: [ INFO] - Train: 192 [ 50/65 ( 78%)] Loss: 0.024149 (0.0218) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.825s, 145.40/s LR: 1.754e-04 P_Replacement: 0.265307409362936 + +2023-08-09 17:56:34,863 - train: [ INFO] - Train: 192 [ 64/65 (100%)] Loss: 0.022513 (0.0216) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.847s, 141.73/s LR: 1.754e-04 P_Replacement: 0.26619770194157016 + +2023-08-09 17:56:36,162 - train: [ INFO] - Test: [ 0/7] Time: 1.084 (1.084) Loss: 0.4720 (0.4720) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 17:56:38,163 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.386) Loss: 0.3956 (0.4448) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (89.3104)Acc@5: 100.0000 (96.8966) + +2023-08-09 17:56:40,473 - train: [ INFO] - Train: 193 [ 0/65 ( 0%)] Loss: 0.019859 (0.0199) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.998s, 60.05/s LR: 1.726e-04 P_Replacement: 0.26626137037037034 + +2023-08-09 17:57:19,540 - train: [ INFO] - Train: 193 [ 50/65 ( 78%)] Loss: 0.020676 (0.0203) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.805s, 149.04/s LR: 1.726e-04 P_Replacement: 0.2694577514624319 + +2023-08-09 17:57:30,932 - train: [ INFO] - Train: 193 [ 64/65 (100%)] Loss: 0.020666 (0.0203) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.807s, 148.70/s LR: 1.726e-04 P_Replacement: 0.27035729968866634 + +2023-08-09 17:57:32,300 - train: [ INFO] - Test: [ 0/7] Time: 1.193 (1.193) Loss: 0.5286 (0.5286) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 98.3333 (98.3333) + +2023-08-09 17:57:34,257 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.394) Loss: 0.3369 (0.4207) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (89.0805)Acc@5: 96.6667 (97.3563) + +2023-08-09 17:57:36,488 - train: [ INFO] - Train: 194 [ 0/65 ( 0%)] Loss: 0.027381 (0.0274) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.912s, 62.75/s LR: 1.699e-04 P_Replacement: 0.27042162962962957 + +2023-08-09 17:58:16,883 - train: [ INFO] - Train: 194 [ 50/65 ( 78%)] Loss: 0.016913 (0.0204) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.830s, 144.66/s LR: 1.699e-04 P_Replacement: 0.2736511533909878 + +2023-08-09 17:58:28,065 - train: [ INFO] - Train: 194 [ 64/65 (100%)] Loss: 0.019098 (0.0201) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.823s, 145.83/s LR: 1.699e-04 P_Replacement: 0.27456000512807033 + +2023-08-09 17:58:29,376 - train: [ INFO] - Test: [ 0/7] Time: 1.136 (1.136) Loss: 0.5123 (0.5123) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 17:58:31,390 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.394) Loss: 0.2964 (0.3999) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (89.6552)Acc@5: 100.0000 (97.8161) + +2023-08-09 17:58:33,663 - train: [ INFO] - Train: 195 [ 0/65 ( 0%)] Loss: 0.016404 (0.0164) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.912s, 62.77/s LR: 1.672e-04 P_Replacement: 0.274625 + +2023-08-09 17:59:16,047 - train: [ INFO] - Train: 195 [ 50/65 ( 78%)] Loss: 0.022060 (0.0198) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.868s, 138.17/s LR: 1.672e-04 P_Replacement: 0.27788783737082556 + +2023-08-09 17:59:28,569 - train: [ INFO] - Train: 195 [ 64/65 (100%)] Loss: 0.016916 (0.0198) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.874s, 137.29/s LR: 1.672e-04 P_Replacement: 0.2788060404820041 + +2023-08-09 17:59:29,941 - train: [ INFO] - Test: [ 0/7] Time: 1.088 (1.088) Loss: 0.2526 (0.2526) cLoss: 0.0000 (0.0000) Acc@1: 94.1667 (94.1667)Acc@5: 99.1667 (99.1667) + +2023-08-09 17:59:31,841 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.373) Loss: 0.8436 (0.3941) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (90.6897)Acc@5: 93.3333 (97.4713) + +2023-08-09 17:59:34,176 - train: [ INFO] - Train: 196 [ 0/65 ( 0%)] Loss: 0.020207 (0.0202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.942s, 61.80/s LR: 1.646e-04 P_Replacement: 0.2788717037037037 + +2023-08-09 18:00:14,799 - train: [ INFO] - Train: 196 [ 50/65 ( 78%)] Loss: 0.019612 (0.0194) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.835s, 143.79/s LR: 1.646e-04 P_Replacement: 0.2821680256241676 + +2023-08-09 18:00:26,602 - train: [ INFO] - Train: 196 [ 64/65 (100%)] Loss: 0.016342 (0.0191) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.836s, 143.48/s LR: 1.646e-04 P_Replacement: 0.28309562797269 + +2023-08-09 18:00:28,087 - train: [ INFO] - Test: [ 0/7] Time: 1.295 (1.295) Loss: 0.3259 (0.3259) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 99.1667 (99.1667) + +2023-08-09 18:00:30,123 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.417) Loss: 0.5472 (0.4034) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.2299)Acc@5: 96.6667 (97.0115) + +2023-08-09 18:00:32,580 - train: [ INFO] - Train: 197 [ 0/65 ( 0%)] Loss: 0.021956 (0.0220) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.969s, 60.93/s LR: 1.619e-04 P_Replacement: 0.2831619629629629 + +2023-08-09 18:01:13,107 - train: [ INFO] - Train: 197 [ 50/65 ( 78%)] Loss: 0.023490 (0.0219) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.833s, 144.05/s LR: 1.619e-04 P_Replacement: 0.28649194037323616 + +2023-08-09 18:01:24,755 - train: [ INFO] - Train: 197 [ 64/65 (100%)] Loss: 0.024276 (0.0216) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.833s, 144.09/s LR: 1.619e-04 P_Replacement: 0.28742898982235027 + +2023-08-09 18:01:26,345 - train: [ INFO] - Test: [ 0/7] Time: 1.356 (1.356) Loss: 0.5680 (0.5680) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 94.1667 (94.1667) + +2023-08-09 18:01:28,306 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.415) Loss: 0.2339 (0.4164) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (89.5402)Acc@5: 100.0000 (96.7816) + +2023-08-09 18:01:30,597 - train: [ INFO] - Train: 198 [ 0/65 ( 0%)] Loss: 0.022723 (0.0227) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.901s, 63.13/s LR: 1.592e-04 P_Replacement: 0.28749600000000003 + +2023-08-09 18:02:09,109 - train: [ INFO] - Train: 198 [ 50/65 ( 78%)] Loss: 0.021755 (0.0204) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.792s, 151.45/s LR: 1.592e-04 P_Replacement: 0.29085980384025356 + +2023-08-09 18:02:19,866 - train: [ INFO] - Train: 198 [ 64/65 (100%)] Loss: 0.018167 (0.0202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.787s, 152.45/s LR: 1.592e-04 P_Replacement: 0.2918063482532073 + +2023-08-09 18:02:21,400 - train: [ INFO] - Test: [ 0/7] Time: 1.316 (1.316) Loss: 0.4751 (0.4751) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 18:02:23,447 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.420) Loss: 0.6765 (0.3913) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (90.1149)Acc@5: 96.6667 (97.1264) + +2023-08-09 18:02:25,903 - train: [ INFO] - Train: 199 [ 0/65 ( 0%)] Loss: 0.025739 (0.0257) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.070s, 57.98/s LR: 1.566e-04 P_Replacement: 0.291874037037037 + +2023-08-09 18:03:06,265 - train: [ INFO] - Train: 199 [ 50/65 ( 78%)] Loss: 0.018601 (0.0195) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.832s, 144.27/s LR: 1.566e-04 P_Replacement: 0.2952718382474418 + +2023-08-09 18:03:17,570 - train: [ INFO] - Train: 199 [ 64/65 (100%)] Loss: 0.016398 (0.0194) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.827s, 145.18/s LR: 1.566e-04 P_Replacement: 0.29622792548748295 + +2023-08-09 18:03:19,182 - train: [ INFO] - Test: [ 0/7] Time: 1.352 (1.352) Loss: 0.3760 (0.3760) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:03:21,221 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.424) Loss: 0.5563 (0.4032) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (89.8851)Acc@5: 100.0000 (97.5862) + +2023-08-09 18:03:23,723 - train: [ INFO] - Train: 200 [ 0/65 ( 0%)] Loss: 0.020830 (0.0208) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.915s, 62.66/s LR: 1.540e-04 P_Replacement: 0.2962962962962962 + +2023-08-09 18:04:03,770 - train: [ INFO] - Train: 200 [ 50/65 ( 78%)] Loss: 0.020608 (0.0187) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.823s, 145.86/s LR: 1.540e-04 P_Replacement: 0.29972826581702317 + +2023-08-09 18:04:15,526 - train: [ INFO] - Train: 200 [ 64/65 (100%)] Loss: 0.017140 (0.0189) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.826s, 145.22/s LR: 1.540e-04 P_Replacement: 0.3006939437473996 + +2023-08-09 18:04:17,152 - train: [ INFO] - Test: [ 0/7] Time: 1.340 (1.340) Loss: 0.3656 (0.3656) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:04:19,207 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.424) Loss: 0.4673 (0.3950) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (89.7701)Acc@5: 96.6667 (97.4713) + +2023-08-09 18:04:21,497 - train: [ INFO] - Train: 201 [ 0/65 ( 0%)] Loss: 0.021693 (0.0217) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.912s, 62.75/s LR: 1.514e-04 P_Replacement: 0.30076300000000006 + +2023-08-09 18:05:01,836 - train: [ INFO] - Train: 201 [ 50/65 ( 78%)] Loss: 0.017857 (0.0190) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.828s, 144.86/s LR: 1.514e-04 P_Replacement: 0.30422930877122006 + +2023-08-09 18:05:13,038 - train: [ INFO] - Train: 201 [ 64/65 (100%)] Loss: 0.016416 (0.0188) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.822s, 145.96/s LR: 1.514e-04 P_Replacement: 0.30520462525517966 + +2023-08-09 18:05:14,392 - train: [ INFO] - Test: [ 0/7] Time: 1.128 (1.128) Loss: 0.3996 (0.3996) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 96.6667 (96.6667) + +2023-08-09 18:05:16,618 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.419) Loss: 0.6826 (0.3853) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (90.6897)Acc@5: 96.6667 (97.0115) + +2023-08-09 18:05:18,917 - train: [ INFO] - Train: 202 [ 0/65 ( 0%)] Loss: 0.017219 (0.0172) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.853s, 64.74/s LR: 1.488e-04 P_Replacement: 0.30527437037037036 + +2023-08-09 18:05:59,722 - train: [ INFO] - Train: 202 [ 50/65 ( 78%)] Loss: 0.017104 (0.0189) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.836s, 143.47/s LR: 1.488e-04 P_Replacement: 0.3087751893322544 + +2023-08-09 18:06:12,152 - train: [ INFO] - Train: 202 [ 64/65 (100%)] Loss: 0.020019 (0.0188) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.847s, 141.60/s LR: 1.488e-04 P_Replacement: 0.3097601922330451 + +2023-08-09 18:06:13,466 - train: [ INFO] - Test: [ 0/7] Time: 1.079 (1.079) Loss: 0.3467 (0.3467) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 18:06:15,363 - train: [ INFO] - Test: [ 7/7] Time: 0.070 (0.372) Loss: 0.2005 (0.3943) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (90.5747)Acc@5: 100.0000 (97.1264) + +2023-08-09 18:06:17,861 - train: [ INFO] - Train: 203 [ 0/65 ( 0%)] Loss: 0.019707 (0.0197) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.146s, 55.91/s LR: 1.462e-04 P_Replacement: 0.3098306296296296 + +2023-08-09 18:07:00,757 - train: [ INFO] - Train: 203 [ 50/65 ( 78%)] Loss: 0.016127 (0.0183) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.883s, 135.88/s LR: 1.462e-04 P_Replacement: 0.3133661297223486 + +2023-08-09 18:07:13,175 - train: [ INFO] - Train: 203 [ 64/65 (100%)] Loss: 0.017212 (0.0189) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.884s, 135.76/s LR: 1.462e-04 P_Replacement: 0.31436086690321813 + +2023-08-09 18:07:14,461 - train: [ INFO] - Test: [ 0/7] Time: 1.076 (1.076) Loss: 0.4775 (0.4775) cLoss: 0.0000 (0.0000) Acc@1: 85.8333 (85.8333)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:07:16,403 - train: [ INFO] - Test: [ 7/7] Time: 0.081 (0.377) Loss: 0.0960 (0.3826) cLoss: 0.0000 (0.0000) Acc@1: 100.0000 (90.6897)Acc@5: 100.0000 (97.5862) + +2023-08-09 18:07:19,227 - train: [ INFO] - Train: 204 [ 0/65 ( 0%)] Loss: 0.022736 (0.0227) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.413s, 49.72/s LR: 1.437e-04 P_Replacement: 0.31443200000000004 + +2023-08-09 18:08:00,532 - train: [ INFO] - Train: 204 [ 50/65 ( 78%)] Loss: 0.018436 (0.0181) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.857s, 139.99/s LR: 1.437e-04 P_Replacement: 0.318002352163725 + +2023-08-09 18:08:11,600 - train: [ INFO] - Train: 204 [ 64/65 (100%)] Loss: 0.017876 (0.0182) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.843s, 142.38/s LR: 1.437e-04 P_Replacement: 0.3190068714879213 + +2023-08-09 18:08:13,008 - train: [ INFO] - Test: [ 0/7] Time: 1.257 (1.257) Loss: 0.3100 (0.3100) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 99.1667 (99.1667) + +2023-08-09 18:08:15,154 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.425) Loss: 0.2899 (0.3893) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (89.8851)Acc@5: 96.6667 (97.8161) + +2023-08-09 18:08:17,567 - train: [ INFO] - Train: 205 [ 0/65 ( 0%)] Loss: 0.018212 (0.0182) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.034s, 58.99/s LR: 1.411e-04 P_Replacement: 0.3190787037037037 + +2023-08-09 18:08:56,927 - train: [ INFO] - Train: 205 [ 50/65 ( 78%)] Loss: 0.015521 (0.0180) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.812s, 147.86/s LR: 1.411e-04 P_Replacement: 0.3226840788786055 + +2023-08-09 18:09:08,955 - train: [ INFO] - Train: 205 [ 64/65 (100%)] Loss: 0.021767 (0.0181) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.822s, 146.06/s LR: 1.411e-04 P_Replacement: 0.32369842820937644 + +2023-08-09 18:09:10,378 - train: [ INFO] - Test: [ 0/7] Time: 1.222 (1.222) Loss: 0.3913 (0.3913) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:09:12,355 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.400) Loss: 0.1729 (0.3795) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (90.3448)Acc@5: 100.0000 (97.3563) + +2023-08-09 18:09:14,888 - train: [ INFO] - Train: 206 [ 0/65 ( 0%)] Loss: 0.018252 (0.0183) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.197s, 54.62/s LR: 1.386e-04 P_Replacement: 0.3237709629629629 + +2023-08-09 18:09:57,815 - train: [ INFO] - Train: 206 [ 50/65 ( 78%)] Loss: 0.017788 (0.0177) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.885s, 135.63/s LR: 1.386e-04 P_Replacement: 0.32741153208921253 + +2023-08-09 18:10:09,130 - train: [ INFO] - Train: 206 [ 64/65 (100%)] Loss: 0.018845 (0.0179) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.868s, 138.21/s LR: 1.386e-04 P_Replacement: 0.32843575928980595 + +2023-08-09 18:10:10,552 - train: [ INFO] - Test: [ 0/7] Time: 1.109 (1.109) Loss: 0.4383 (0.4383) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 18:10:12,480 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.380) Loss: 0.6561 (0.3823) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (90.1149)Acc@5: 90.0000 (97.2414) + +2023-08-09 18:10:14,852 - train: [ INFO] - Train: 207 [ 0/65 ( 0%)] Loss: 0.015666 (0.0157) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.987s, 60.40/s LR: 1.361e-04 P_Replacement: 0.32850899999999994 + +2023-08-09 18:10:55,855 - train: [ INFO] - Train: 207 [ 50/65 ( 78%)] Loss: 0.015568 (0.0184) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.843s, 142.39/s LR: 1.361e-04 P_Replacement: 0.3321849340177684 + +2023-08-09 18:11:06,875 - train: [ INFO] - Train: 207 [ 64/65 (100%)] Loss: 0.018220 (0.0183) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.831s, 144.45/s LR: 1.361e-04 P_Replacement: 0.33321908695143215 + +2023-08-09 18:11:08,334 - train: [ INFO] - Test: [ 0/7] Time: 1.240 (1.240) Loss: 0.3087 (0.3087) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:11:10,431 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.417) Loss: 0.4300 (0.3844) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (89.7701)Acc@5: 100.0000 (97.8161) + +2023-08-09 18:11:12,765 - train: [ INFO] - Train: 208 [ 0/65 ( 0%)] Loss: 0.015670 (0.0157) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.958s, 61.28/s LR: 1.336e-04 P_Replacement: 0.33329303703703705 + +2023-08-09 18:11:51,284 - train: [ INFO] - Train: 208 [ 50/65 ( 78%)] Loss: 0.016747 (0.0175) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.794s, 151.21/s LR: 1.336e-04 P_Replacement: 0.3370045068864951 + +2023-08-09 18:12:02,614 - train: [ INFO] - Train: 208 [ 64/65 (100%)] Loss: 0.018918 (0.0174) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.797s, 150.57/s LR: 1.336e-04 P_Replacement: 0.33804863341647706 + +2023-08-09 18:12:04,076 - train: [ INFO] - Test: [ 0/7] Time: 1.249 (1.249) Loss: 0.5290 (0.5290) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (86.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 18:12:06,333 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.438) Loss: 0.1249 (0.3758) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (90.8046)Acc@5: 100.0000 (97.5862) + +2023-08-09 18:12:08,648 - train: [ INFO] - Train: 209 [ 0/65 ( 0%)] Loss: 0.019175 (0.0192) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.993s, 60.22/s LR: 1.312e-04 P_Replacement: 0.3381232962962963 + +2023-08-09 18:12:48,964 - train: [ INFO] - Train: 209 [ 50/65 ( 78%)] Loss: 0.019109 (0.0178) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.830s, 144.66/s LR: 1.312e-04 P_Replacement: 0.3418704729176149 + +2023-08-09 18:13:01,080 - train: [ INFO] - Train: 209 [ 64/65 (100%)] Loss: 0.015111 (0.0177) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.837s, 143.33/s LR: 1.312e-04 P_Replacement: 0.34292462090716297 + +2023-08-09 18:13:02,350 - train: [ INFO] - Test: [ 0/7] Time: 1.046 (1.046) Loss: 0.3982 (0.3982) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:13:04,411 - train: [ INFO] - Test: [ 7/7] Time: 0.103 (0.388) Loss: 0.9358 (0.3860) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (89.5402)Acc@5: 90.0000 (97.8161) + +2023-08-09 18:13:06,715 - train: [ INFO] - Train: 210 [ 0/65 ( 0%)] Loss: 0.022051 (0.0221) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.895s, 63.31/s LR: 1.287e-04 P_Replacement: 0.3429999999999999 + +2023-08-09 18:13:48,929 - train: [ INFO] - Train: 210 [ 50/65 ( 78%)] Loss: 0.019261 (0.0209) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.865s, 138.76/s LR: 1.287e-04 P_Replacement: 0.3467830543333501 + +2023-08-09 18:14:00,454 - train: [ INFO] - Train: 210 [ 64/65 (100%)] Loss: 0.019480 (0.0207) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.856s, 140.22/s LR: 1.287e-04 P_Replacement: 0.3478472716457121 + +2023-08-09 18:14:01,854 - train: [ INFO] - Test: [ 0/7] Time: 1.244 (1.244) Loss: 0.3997 (0.3997) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 96.6667 (96.6667) + +2023-08-09 18:14:03,843 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.404) Loss: 0.2114 (0.4059) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (90.5747)Acc@5: 100.0000 (96.6667) + +2023-08-09 18:14:06,218 - train: [ INFO] - Train: 211 [ 0/65 ( 0%)] Loss: 0.025586 (0.0256) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.054s, 58.43/s LR: 1.263e-04 P_Replacement: 0.3479233703703704 + +2023-08-09 18:14:46,087 - train: [ INFO] - Train: 211 [ 50/65 ( 78%)] Loss: 0.016864 (0.0194) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.822s, 145.99/s LR: 1.263e-04 P_Replacement: 0.35174247335592307 + +2023-08-09 18:14:57,910 - train: [ INFO] - Train: 211 [ 64/65 (100%)] Loss: 0.022197 (0.0191) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.827s, 145.14/s LR: 1.263e-04 P_Replacement: 0.3528168078543469 + +2023-08-09 18:14:59,305 - train: [ INFO] - Test: [ 0/7] Time: 1.232 (1.232) Loss: 0.4862 (0.4862) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:15:01,612 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.442) Loss: 0.3327 (0.4007) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (90.5747)Acc@5: 100.0000 (97.3563) + +2023-08-09 18:15:04,244 - train: [ INFO] - Train: 212 [ 0/65 ( 0%)] Loss: 0.014869 (0.0149) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.915s, 62.67/s LR: 1.239e-04 P_Replacement: 0.3528936296296296 + +2023-08-09 18:15:42,295 - train: [ INFO] - Train: 212 [ 50/65 ( 78%)] Loss: 0.015316 (0.0178) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.784s, 153.14/s LR: 1.239e-04 P_Replacement: 0.35674895220755576 + +2023-08-09 18:15:53,094 - train: [ INFO] - Train: 212 [ 64/65 (100%)] Loss: 0.020269 (0.0178) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.781s, 153.66/s LR: 1.239e-04 P_Replacement: 0.3578334517552892 + +2023-08-09 18:15:54,433 - train: [ INFO] - Test: [ 0/7] Time: 1.179 (1.179) Loss: 0.4150 (0.4150) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:15:56,502 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.406) Loss: 0.7364 (0.4032) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (90.6897)Acc@5: 96.6667 (96.7816) + +2023-08-09 18:15:58,776 - train: [ INFO] - Train: 213 [ 0/65 ( 0%)] Loss: 0.015588 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.883s, 63.72/s LR: 1.215e-04 P_Replacement: 0.3579109999999999 + +2023-08-09 18:16:37,626 - train: [ INFO] - Train: 213 [ 50/65 ( 78%)] Loss: 0.018474 (0.0182) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.799s, 150.26/s LR: 1.215e-04 P_Replacement: 0.36180271311047046 + +2023-08-09 18:16:47,934 - train: [ INFO] - Train: 213 [ 64/65 (100%)] Loss: 0.014583 (0.0179) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.785s, 152.83/s LR: 1.215e-04 P_Replacement: 0.36289742557076143 + +2023-08-09 18:16:49,397 - train: [ INFO] - Test: [ 0/7] Time: 1.245 (1.245) Loss: 0.2644 (0.2644) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:16:51,504 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.419) Loss: 0.6669 (0.3745) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (90.9195)Acc@5: 90.0000 (97.7012) + +2023-08-09 18:16:53,770 - train: [ INFO] - Train: 214 [ 0/65 ( 0%)] Loss: 0.014797 (0.0148) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.898s, 63.21/s LR: 1.191e-04 P_Replacement: 0.36297570370370374 + +2023-08-09 18:17:33,058 - train: [ INFO] - Train: 214 [ 50/65 ( 78%)] Loss: 0.016889 (0.0171) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.808s, 148.61/s LR: 1.191e-04 P_Replacement: 0.3669039782868896 + +2023-08-09 18:17:44,619 - train: [ INFO] - Train: 214 [ 64/65 (100%)] Loss: 0.019250 (0.0175) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.811s, 147.89/s LR: 1.191e-04 P_Replacement: 0.36800895152298596 + +2023-08-09 18:17:46,219 - train: [ INFO] - Test: [ 0/7] Time: 1.289 (1.289) Loss: 0.3985 (0.3985) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 18:17:48,318 - train: [ INFO] - Test: [ 7/7] Time: 0.065 (0.424) Loss: 0.1454 (0.3863) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (89.8851)Acc@5: 100.0000 (97.5862) + +2023-08-09 18:17:50,613 - train: [ INFO] - Train: 215 [ 0/65 ( 0%)] Loss: 0.017974 (0.0180) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.890s, 63.51/s LR: 1.167e-04 P_Replacement: 0.368087962962963 + +2023-08-09 18:18:32,211 - train: [ INFO] - Train: 215 [ 50/65 ( 78%)] Loss: 0.021262 (0.0174) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.852s, 140.81/s LR: 1.167e-04 P_Replacement: 0.37205296995903503 + +2023-08-09 18:18:43,877 - train: [ INFO] - Train: 215 [ 64/65 (100%)] Loss: 0.014887 (0.0172) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.848s, 141.50/s LR: 1.167e-04 P_Replacement: 0.37316825183418467 + +2023-08-09 18:18:45,202 - train: [ INFO] - Test: [ 0/7] Time: 1.090 (1.090) Loss: 0.3390 (0.3390) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 18:18:47,328 - train: [ INFO] - Test: [ 7/7] Time: 0.093 (0.402) Loss: 0.6389 (0.3783) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (90.3448)Acc@5: 100.0000 (97.4713) + +2023-08-09 18:18:49,682 - train: [ INFO] - Train: 216 [ 0/65 ( 0%)] Loss: 0.014308 (0.0143) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.908s, 62.89/s LR: 1.144e-04 P_Replacement: 0.37324799999999997 + +2023-08-09 18:19:29,636 - train: [ INFO] - Train: 216 [ 50/65 ( 78%)] Loss: 0.015210 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.821s, 146.20/s LR: 1.144e-04 P_Replacement: 0.37724991034912925 + +2023-08-09 18:19:40,476 - train: [ INFO] - Train: 216 [ 64/65 (100%)] Loss: 0.015119 (0.0172) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.811s, 148.01/s LR: 1.144e-04 P_Replacement: 0.37837554872657997 + +2023-08-09 18:19:41,881 - train: [ INFO] - Test: [ 0/7] Time: 1.253 (1.253) Loss: 0.3081 (0.3081) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 99.1667 (99.1667) + +2023-08-09 18:19:43,859 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.404) Loss: 0.5350 (0.3749) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (90.3448)Acc@5: 93.3333 (97.9310) + +2023-08-09 18:19:46,054 - train: [ INFO] - Train: 217 [ 0/65 ( 0%)] Loss: 0.019747 (0.0197) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.852s, 64.78/s LR: 1.121e-04 P_Replacement: 0.3784560370370371 + +2023-08-09 18:20:24,901 - train: [ INFO] - Train: 217 [ 50/65 ( 78%)] Loss: 0.019756 (0.0170) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.798s, 150.38/s LR: 1.121e-04 P_Replacement: 0.38249502167939453 + +2023-08-09 18:20:36,655 - train: [ INFO] - Train: 217 [ 64/65 (100%)] Loss: 0.018420 (0.0171) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.807s, 148.72/s LR: 1.121e-04 P_Replacement: 0.38363106442239425 + +2023-08-09 18:20:38,232 - train: [ INFO] - Test: [ 0/7] Time: 1.279 (1.279) Loss: 0.3891 (0.3891) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:20:40,311 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.420) Loss: 0.3706 (0.3743) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (90.0000)Acc@5: 96.6667 (97.8161) + +2023-08-09 18:20:42,670 - train: [ INFO] - Train: 218 [ 0/65 ( 0%)] Loss: 0.015264 (0.0153) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.966s, 61.04/s LR: 1.098e-04 P_Replacement: 0.38371229629629633 + +2023-08-09 18:21:25,144 - train: [ INFO] - Train: 218 [ 50/65 ( 78%)] Loss: 0.018623 (0.0166) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.871s, 137.72/s LR: 1.098e-04 P_Replacement: 0.3877885261720528 + +2023-08-09 18:21:36,582 - train: [ INFO] - Train: 218 [ 64/65 (100%)] Loss: 0.015653 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.860s, 139.60/s LR: 1.098e-04 P_Replacement: 0.38893502114384937 + +2023-08-09 18:21:38,088 - train: [ INFO] - Test: [ 0/7] Time: 1.361 (1.361) Loss: 0.3083 (0.3083) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:21:40,101 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.422) Loss: 0.3624 (0.3783) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (90.6897)Acc@5: 100.0000 (97.3563) + +2023-08-09 18:21:42,507 - train: [ INFO] - Train: 219 [ 0/65 ( 0%)] Loss: 0.015434 (0.0154) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.019s, 59.43/s LR: 1.075e-04 P_Replacement: 0.38901699999999995 + +2023-08-09 18:22:21,656 - train: [ INFO] - Train: 219 [ 50/65 ( 78%)] Loss: 0.019587 (0.0170) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.807s, 148.67/s LR: 1.075e-04 P_Replacement: 0.39313064604932646 + +2023-08-09 18:22:33,276 - train: [ INFO] - Train: 219 [ 64/65 (100%)] Loss: 0.014094 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.812s, 147.77/s LR: 1.075e-04 P_Replacement: 0.3942876411131678 + +2023-08-09 18:22:34,941 - train: [ INFO] - Test: [ 0/7] Time: 1.349 (1.349) Loss: 0.4036 (0.4036) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:22:36,928 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.417) Loss: 0.5696 (0.3710) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (91.2644)Acc@5: 93.3333 (98.1609) + +2023-08-09 18:22:37,332 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-219.pth.tar', 91.26437299004917) + +2023-08-09 18:22:39,139 - train: [ INFO] - Train: 220 [ 0/65 ( 0%)] Loss: 0.017302 (0.0173) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.782s, 67.35/s LR: 1.053e-04 P_Replacement: 0.39437037037037026 + +2023-08-09 18:23:18,829 - train: [ INFO] - Train: 220 [ 50/65 ( 78%)] Loss: 0.020017 (0.0168) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.813s, 147.58/s LR: 1.053e-04 P_Replacement: 0.3985216035334379 + +2023-08-09 18:23:30,067 - train: [ INFO] - Train: 220 [ 64/65 (100%)] Loss: 0.015470 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.811s, 148.00/s LR: 1.053e-04 P_Replacement: 0.3996891465525716 + +2023-08-09 18:23:31,297 - train: [ INFO] - Test: [ 0/7] Time: 1.066 (1.066) Loss: 0.2791 (0.2791) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 100.0000 (100.0000) + +2023-08-09 18:23:33,484 - train: [ INFO] - Test: [ 7/7] Time: 0.073 (0.407) Loss: 0.1376 (0.3613) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (90.2299)Acc@5: 100.0000 (98.1609) + +2023-08-09 18:23:36,022 - train: [ INFO] - Train: 221 [ 0/65 ( 0%)] Loss: 0.020546 (0.0205) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.157s, 55.62/s LR: 1.030e-04 P_Replacement: 0.39977262962962967 + +2023-08-09 18:24:15,126 - train: [ INFO] - Train: 221 [ 50/65 ( 78%)] Loss: 0.014675 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.809s, 148.33/s LR: 1.030e-04 P_Replacement: 0.403961620846609 + +2023-08-09 18:24:26,088 - train: [ INFO] - Train: 221 [ 64/65 (100%)] Loss: 0.019074 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.803s, 149.37/s LR: 1.030e-04 P_Replacement: 0.40513975968428334 + +2023-08-09 18:24:27,557 - train: [ INFO] - Test: [ 0/7] Time: 1.264 (1.264) Loss: 0.3119 (0.3119) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:24:29,543 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.406) Loss: 0.3197 (0.3925) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (90.4598)Acc@5: 100.0000 (97.5862) + +2023-08-09 18:24:31,977 - train: [ INFO] - Train: 222 [ 0/65 ( 0%)] Loss: 0.014867 (0.0149) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.035s, 58.98/s LR: 1.008e-04 P_Replacement: 0.405224 + +2023-08-09 18:25:12,395 - train: [ INFO] - Train: 222 [ 50/65 ( 78%)] Loss: 0.014571 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.832s, 144.17/s LR: 1.008e-04 P_Replacement: 0.4094509202110622 + +2023-08-09 18:25:24,455 - train: [ INFO] - Train: 222 [ 64/65 (100%)] Loss: 0.015931 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.839s, 143.09/s LR: 1.008e-04 P_Replacement: 0.41063970273052475 + +2023-08-09 18:25:25,994 - train: [ INFO] - Test: [ 0/7] Time: 1.333 (1.333) Loss: 0.4176 (0.4176) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 95.8333 (95.8333) + +2023-08-09 18:25:27,881 - train: [ INFO] - Test: [ 7/7] Time: 0.060 (0.402) Loss: 0.2783 (0.3906) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.0345)Acc@5: 100.0000 (97.4713) + +2023-08-09 18:25:30,278 - train: [ INFO] - Train: 223 [ 0/65 ( 0%)] Loss: 0.015374 (0.0154) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.953s, 61.43/s LR: 9.865e-05 P_Replacement: 0.4107247037037036 + +2023-08-09 18:26:09,158 - train: [ INFO] - Train: 223 [ 50/65 ( 78%)] Loss: 0.014971 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.800s, 150.00/s LR: 9.865e-05 P_Replacement: 0.4149897238490196 + +2023-08-09 18:26:21,842 - train: [ INFO] - Train: 223 [ 64/65 (100%)] Loss: 0.018012 (0.0168) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.823s, 145.84/s LR: 9.865e-05 P_Replacement: 0.4161891979135184 + +2023-08-09 18:26:23,240 - train: [ INFO] - Test: [ 0/7] Time: 1.179 (1.179) Loss: 0.3661 (0.3661) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:26:25,226 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.396) Loss: 0.2868 (0.3760) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.5747)Acc@5: 100.0000 (97.8161) + +2023-08-09 18:26:27,751 - train: [ INFO] - Train: 224 [ 0/65 ( 0%)] Loss: 0.017821 (0.0178) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.139s, 56.10/s LR: 9.649e-05 P_Replacement: 0.416274962962963 + +2023-08-09 18:27:10,454 - train: [ INFO] - Train: 224 [ 50/65 ( 78%)] Loss: 0.014958 (0.0168) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.879s, 136.49/s LR: 9.649e-05 P_Replacement: 0.4205782539827037 + +2023-08-09 18:27:21,771 - train: [ INFO] - Train: 224 [ 64/65 (100%)] Loss: 0.018198 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.864s, 138.90/s LR: 9.649e-05 P_Replacement: 0.4217884674554865 + +2023-08-09 18:27:23,364 - train: [ INFO] - Test: [ 0/7] Time: 1.277 (1.277) Loss: 0.3834 (0.3834) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:27:25,551 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.433) Loss: 0.2554 (0.3720) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (90.5747)Acc@5: 100.0000 (97.8161) + +2023-08-09 18:27:28,334 - train: [ INFO] - Train: 225 [ 0/65 ( 0%)] Loss: 0.014564 (0.0146) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.125s, 56.47/s LR: 9.434e-05 P_Replacement: 0.421875 + +2023-08-09 18:28:10,146 - train: [ INFO] - Train: 225 [ 50/65 ( 78%)] Loss: 0.014925 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.861s, 139.30/s LR: 9.434e-05 P_Replacement: 0.42621673283433636 + +2023-08-09 18:28:20,912 - train: [ INFO] - Train: 225 [ 64/65 (100%)] Loss: 0.017021 (0.0169) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.842s, 142.60/s LR: 9.434e-05 P_Replacement: 0.427437733578651 + +2023-08-09 18:28:22,295 - train: [ INFO] - Test: [ 0/7] Time: 1.217 (1.217) Loss: 0.2560 (0.2560) cLoss: 0.0000 (0.0000) Acc@1: 95.8333 (95.8333)Acc@5: 99.1667 (99.1667) + +2023-08-09 18:28:24,743 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.458) Loss: 0.1225 (0.3713) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (90.5747)Acc@5: 100.0000 (97.4713) + +2023-08-09 18:28:26,944 - train: [ INFO] - Train: 226 [ 0/65 ( 0%)] Loss: 0.017140 (0.0171) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.874s, 64.03/s LR: 9.222e-05 P_Replacement: 0.427525037037037 + +2023-08-09 18:29:07,069 - train: [ INFO] - Train: 226 [ 50/65 ( 78%)] Loss: 0.014879 (0.0164) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.823s, 145.73/s LR: 9.222e-05 P_Replacement: 0.4319053826261399 + +2023-08-09 18:29:18,891 - train: [ INFO] - Train: 226 [ 64/65 (100%)] Loss: 0.018503 (0.0163) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.828s, 144.94/s LR: 9.222e-05 P_Replacement: 0.43313721850523434 + +2023-08-09 18:29:20,480 - train: [ INFO] - Test: [ 0/7] Time: 1.261 (1.261) Loss: 0.1708 (0.1708) cLoss: 0.0000 (0.0000) Acc@1: 95.8333 (95.8333)Acc@5: 99.1667 (99.1667) + +2023-08-09 18:29:22,683 - train: [ INFO] - Test: [ 7/7] Time: 0.060 (0.433) Loss: 0.4118 (0.3788) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.1149)Acc@5: 93.3333 (97.3563) + +2023-08-09 18:29:25,211 - train: [ INFO] - Train: 227 [ 0/65 ( 0%)] Loss: 0.014904 (0.0149) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.117s, 56.68/s LR: 9.012e-05 P_Replacement: 0.43322529629629636 + +2023-08-09 18:30:06,391 - train: [ INFO] - Train: 227 [ 50/65 ( 78%)] Loss: 0.014195 (0.0160) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.849s, 141.36/s LR: 9.012e-05 P_Replacement: 0.4376444255803369 + +2023-08-09 18:30:17,775 - train: [ INFO] - Train: 227 [ 64/65 (100%)] Loss: 0.017158 (0.0161) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.841s, 142.65/s LR: 9.012e-05 P_Replacement: 0.4388871444574589 + +2023-08-09 18:30:19,018 - train: [ INFO] - Test: [ 0/7] Time: 1.089 (1.089) Loss: 0.3500 (0.3500) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:30:21,133 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.400) Loss: 0.2219 (0.3733) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (90.4598)Acc@5: 100.0000 (97.7012) + +2023-08-09 18:30:23,321 - train: [ INFO] - Train: 228 [ 0/65 ( 0%)] Loss: 0.019852 (0.0199) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.873s, 64.07/s LR: 8.805e-05 P_Replacement: 0.43897600000000003 + +2023-08-09 18:31:06,360 - train: [ INFO] - Train: 228 [ 50/65 ( 78%)] Loss: 0.014213 (0.0164) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.881s, 136.27/s LR: 8.805e-05 P_Replacement: 0.443434083919149 + +2023-08-09 18:31:17,272 - train: [ INFO] - Train: 228 [ 64/65 (100%)] Loss: 0.013767 (0.0163) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.859s, 139.73/s LR: 8.805e-05 P_Replacement: 0.4446877336575465 + +2023-08-09 18:31:18,653 - train: [ INFO] - Test: [ 0/7] Time: 1.228 (1.228) Loss: 0.4458 (0.4458) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:31:20,618 - train: [ INFO] - Test: [ 7/7] Time: 0.079 (0.399) Loss: 0.3050 (0.3540) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (90.9195)Acc@5: 96.6667 (98.2759) + +2023-08-09 18:31:23,142 - train: [ INFO] - Train: 229 [ 0/65 ( 0%)] Loss: 0.017121 (0.0171) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.137s, 56.15/s LR: 8.600e-05 P_Replacement: 0.44477737037037035 + +2023-08-09 18:32:05,852 - train: [ INFO] - Train: 229 [ 50/65 ( 78%)] Loss: 0.013885 (0.0162) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.879s, 136.47/s LR: 8.600e-05 P_Replacement: 0.44927457986479874 + +2023-08-09 18:32:16,845 - train: [ INFO] - Train: 229 [ 64/65 (100%)] Loss: 0.018235 (0.0164) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.859s, 139.69/s LR: 8.600e-05 P_Replacement: 0.45053920832771954 + +2023-08-09 18:32:18,128 - train: [ INFO] - Test: [ 0/7] Time: 1.114 (1.114) Loss: 0.4186 (0.4186) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:32:20,092 - train: [ INFO] - Test: [ 7/7] Time: 0.086 (0.385) Loss: 0.4226 (0.3568) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.8046)Acc@5: 96.6667 (97.7012) + +2023-08-09 18:32:22,382 - train: [ INFO] - Train: 230 [ 0/65 ( 0%)] Loss: 0.017186 (0.0172) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.971s, 60.87/s LR: 8.397e-05 P_Replacement: 0.4506296296296297 + +2023-08-09 18:33:03,447 - train: [ INFO] - Train: 230 [ 50/65 ( 78%)] Loss: 0.017045 (0.0159) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.844s, 142.22/s LR: 8.397e-05 P_Replacement: 0.4551661356395085 + +2023-08-09 18:33:14,926 - train: [ INFO] - Train: 230 [ 64/65 (100%)] Loss: 0.015717 (0.0159) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.839s, 143.09/s LR: 8.397e-05 P_Replacement: 0.4564417906902005 + +2023-08-09 18:33:16,440 - train: [ INFO] - Test: [ 0/7] Time: 1.272 (1.272) Loss: 0.4126 (0.4126) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 18:33:18,666 - train: [ INFO] - Test: [ 7/7] Time: 0.114 (0.437) Loss: 0.2886 (0.3687) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (90.9195)Acc@5: 100.0000 (97.8161) + +2023-08-09 18:33:20,843 - train: [ INFO] - Train: 231 [ 0/65 ( 0%)] Loss: 0.014670 (0.0147) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.722s, 69.67/s LR: 8.196e-05 P_Replacement: 0.456533 + +2023-08-09 18:34:04,743 - train: [ INFO] - Train: 231 [ 50/65 ( 78%)] Loss: 0.013634 (0.0160) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.894s, 134.15/s LR: 8.196e-05 P_Replacement: 0.4611089734655001 + +2023-08-09 18:34:17,105 - train: [ INFO] - Train: 231 [ 64/65 (100%)] Loss: 0.015060 (0.0163) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.892s, 134.53/s LR: 8.196e-05 P_Replacement: 0.4623957029672112 + +2023-08-09 18:34:18,516 - train: [ INFO] - Test: [ 0/7] Time: 1.164 (1.164) Loss: 0.3022 (0.3022) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:34:20,533 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.398) Loss: 0.3147 (0.3636) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.4598)Acc@5: 100.0000 (97.8161) + +2023-08-09 18:34:23,035 - train: [ INFO] - Train: 232 [ 0/65 ( 0%)] Loss: 0.014678 (0.0147) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.041s, 58.80/s LR: 7.998e-05 P_Replacement: 0.4624877037037037 + +2023-08-09 18:35:04,908 - train: [ INFO] - Train: 232 [ 50/65 ( 78%)] Loss: 0.013305 (0.0152) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.861s, 139.38/s LR: 7.998e-05 P_Replacement: 0.467103315564996 + +2023-08-09 18:35:16,143 - train: [ INFO] - Train: 232 [ 64/65 (100%)] Loss: 0.017472 (0.0154) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.848s, 141.45/s LR: 7.998e-05 P_Replacement: 0.46840116738097404 + +2023-08-09 18:35:17,576 - train: [ INFO] - Test: [ 0/7] Time: 1.093 (1.093) Loss: 0.4352 (0.4352) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:35:19,641 - train: [ INFO] - Test: [ 7/7] Time: 0.104 (0.395) Loss: 0.3547 (0.3822) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (90.5747)Acc@5: 96.6667 (97.7012) + +2023-08-09 18:35:21,900 - train: [ INFO] - Train: 233 [ 0/65 ( 0%)] Loss: 0.021085 (0.0211) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.797s, 66.77/s LR: 7.802e-05 P_Replacement: 0.46849396296296286 + +2023-08-09 18:36:04,567 - train: [ INFO] - Train: 233 [ 50/65 ( 78%)] Loss: 0.014147 (0.0157) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.872s, 137.65/s LR: 7.802e-05 P_Replacement: 0.47314938416021857 + +2023-08-09 18:36:15,872 - train: [ INFO] - Train: 233 [ 64/65 (100%)] Loss: 0.018171 (0.0157) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.858s, 139.87/s LR: 7.802e-05 P_Replacement: 0.4744584061537112 + +2023-08-09 18:36:17,350 - train: [ INFO] - Test: [ 0/7] Time: 1.260 (1.260) Loss: 0.3247 (0.3247) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:36:19,159 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.384) Loss: 0.5089 (0.3628) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (91.2644)Acc@5: 96.6667 (97.3563) + +2023-08-09 18:36:21,406 - train: [ INFO] - Train: 234 [ 0/65 ( 0%)] Loss: 0.014385 (0.0144) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.896s, 63.30/s LR: 7.609e-05 P_Replacement: 0.47455200000000003 + +2023-08-09 18:37:02,520 - train: [ INFO] - Train: 234 [ 50/65 ( 78%)] Loss: 0.015552 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.843s, 142.30/s LR: 7.609e-05 P_Replacement: 0.4792474014733897 + +2023-08-09 18:37:15,237 - train: [ INFO] - Train: 234 [ 64/65 (100%)] Loss: 0.016394 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.857s, 139.98/s LR: 7.609e-05 P_Replacement: 0.48056764150764514 + +2023-08-09 18:37:16,697 - train: [ INFO] - Test: [ 0/7] Time: 1.241 (1.241) Loss: 0.3093 (0.3093) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:37:18,568 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.389) Loss: 0.6325 (0.3597) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (91.3793)Acc@5: 93.3333 (97.4713) + +2023-08-09 18:37:18,975 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-234.pth.tar', 91.37931508031384) + +2023-08-09 18:37:20,856 - train: [ INFO] - Train: 235 [ 0/65 ( 0%)] Loss: 0.014850 (0.0148) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.863s, 64.41/s LR: 7.417e-05 P_Replacement: 0.480662037037037 + +2023-08-09 18:38:03,379 - train: [ INFO] - Train: 235 [ 50/65 ( 78%)] Loss: 0.014164 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.870s, 137.89/s LR: 7.417e-05 P_Replacement: 0.4853975897267317 + +2023-08-09 18:38:15,970 - train: [ INFO] - Train: 235 [ 64/65 (100%)] Loss: 0.021992 (0.0158) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.876s, 136.91/s LR: 7.417e-05 P_Replacement: 0.4867290956649977 + +2023-08-09 18:38:17,493 - train: [ INFO] - Test: [ 0/7] Time: 1.371 (1.371) Loss: 0.2665 (0.2665) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:38:19,649 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.441) Loss: 0.1402 (0.3537) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.4943)Acc@5: 100.0000 (98.0460) + +2023-08-09 18:38:19,962 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-235.pth.tar', 91.49425822290881) + +2023-08-09 18:38:21,903 - train: [ INFO] - Train: 236 [ 0/65 ( 0%)] Loss: 0.014693 (0.0147) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.925s, 62.35/s LR: 7.229e-05 P_Replacement: 0.4868242962962962 + +2023-08-09 18:39:04,820 - train: [ INFO] - Train: 236 [ 50/65 ( 78%)] Loss: 0.017051 (0.0159) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.879s, 136.49/s LR: 7.229e-05 P_Replacement: 0.4916001711424669 + +2023-08-09 18:39:16,565 - train: [ INFO] - Train: 236 [ 64/65 (100%)] Loss: 0.014674 (0.0157) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.870s, 137.85/s LR: 7.229e-05 P_Replacement: 0.4929429908479913 + +2023-08-09 18:39:18,033 - train: [ INFO] - Test: [ 0/7] Time: 1.300 (1.300) Loss: 0.4148 (0.4148) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:39:20,014 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.410) Loss: 0.0485 (0.3664) cLoss: 0.0000 (0.0000) Acc@1: 100.0000 (90.9195)Acc@5: 100.0000 (97.7012) + +2023-08-09 18:39:22,139 - train: [ INFO] - Train: 237 [ 0/65 ( 0%)] Loss: 0.014963 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.831s, 65.55/s LR: 7.043e-05 P_Replacement: 0.49303900000000006 + +2023-08-09 18:40:01,954 - train: [ INFO] - Train: 237 [ 50/65 ( 78%)] Loss: 0.020417 (0.0153) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.817s, 146.96/s LR: 7.043e-05 P_Replacement: 0.4978553679428177 + +2023-08-09 18:40:13,669 - train: [ INFO] - Train: 237 [ 64/65 (100%)] Loss: 0.013735 (0.0153) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.821s, 146.19/s LR: 7.043e-05 P_Replacement: 0.4992095492788483 + +2023-08-09 18:40:14,884 - train: [ INFO] - Test: [ 0/7] Time: 1.058 (1.058) Loss: 0.4103 (0.4103) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:40:16,865 - train: [ INFO] - Test: [ 7/7] Time: 0.081 (0.380) Loss: 0.3724 (0.3576) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (91.4943)Acc@5: 100.0000 (97.7012) + +2023-08-09 18:40:19,577 - train: [ INFO] - Train: 238 [ 0/65 ( 0%)] Loss: 0.016608 (0.0166) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.117s, 56.69/s LR: 6.859e-05 P_Replacement: 0.4993063703703704 + +2023-08-09 18:40:59,648 - train: [ INFO] - Train: 238 [ 50/65 ( 78%)] Loss: 0.014698 (0.0149) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.827s, 145.07/s LR: 6.859e-05 P_Replacement: 0.5041634023500059 + +2023-08-09 18:41:11,574 - train: [ INFO] - Train: 238 [ 64/65 (100%)] Loss: 0.014332 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.832s, 144.15/s LR: 6.859e-05 P_Replacement: 0.5055289931797906 + +2023-08-09 18:41:12,932 - train: [ INFO] - Test: [ 0/7] Time: 1.219 (1.219) Loss: 0.4619 (0.4619) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 95.8333 (95.8333) + +2023-08-09 18:41:14,967 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.407) Loss: 0.1189 (0.3504) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.2644)Acc@5: 100.0000 (98.0460) + +2023-08-09 18:41:17,222 - train: [ INFO] - Train: 239 [ 0/65 ( 0%)] Loss: 0.013697 (0.0137) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.931s, 62.14/s LR: 6.678e-05 P_Replacement: 0.5056266296296296 + +2023-08-09 18:41:56,072 - train: [ INFO] - Train: 239 [ 50/65 ( 78%)] Loss: 0.014099 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.800s, 150.08/s LR: 6.678e-05 P_Replacement: 0.5105244965862539 + +2023-08-09 18:42:07,895 - train: [ INFO] - Train: 239 [ 64/65 (100%)] Loss: 0.014726 (0.0158) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.809s, 148.29/s LR: 6.678e-05 P_Replacement: 0.5119015447730406 + +2023-08-09 18:42:09,362 - train: [ INFO] - Test: [ 0/7] Time: 1.251 (1.251) Loss: 0.4507 (0.4507) cLoss: 0.0000 (0.0000) Acc@1: 85.0000 (85.0000)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:42:11,266 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.394) Loss: 0.8685 (0.3618) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (91.1494)Acc@5: 96.6667 (97.9310) + +2023-08-09 18:42:13,520 - train: [ INFO] - Train: 240 [ 0/65 ( 0%)] Loss: 0.020228 (0.0202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.873s, 64.05/s LR: 6.500e-05 P_Replacement: 0.5120000000000001 + +2023-08-09 18:42:53,138 - train: [ INFO] - Train: 240 [ 50/65 ( 78%)] Loss: 0.014321 (0.0153) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.814s, 147.51/s LR: 6.500e-05 P_Replacement: 0.5169388728737841 + +2023-08-09 18:43:04,738 - train: [ INFO] - Train: 240 [ 64/65 (100%)] Loss: 0.015826 (0.0154) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.817s, 146.93/s LR: 6.500e-05 P_Replacement: 0.5183274262808207 + +2023-08-09 18:43:06,022 - train: [ INFO] - Test: [ 0/7] Time: 1.021 (1.021) Loss: 0.3724 (0.3724) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 100.0000 (100.0000) + +2023-08-09 18:43:08,109 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.388) Loss: 0.1221 (0.3717) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (90.8046)Acc@5: 100.0000 (97.7012) + +2023-08-09 18:43:10,282 - train: [ INFO] - Train: 241 [ 0/65 ( 0%)] Loss: 0.013736 (0.0137) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.683s, 71.29/s LR: 6.324e-05 P_Replacement: 0.5184267037037037 + +2023-08-09 18:43:54,030 - train: [ INFO] - Train: 241 [ 50/65 ( 78%)] Loss: 0.016530 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.891s, 134.72/s LR: 6.324e-05 P_Replacement: 0.5234067534348186 + +2023-08-09 18:44:06,243 - train: [ INFO] - Train: 241 [ 64/65 (100%)] Loss: 0.019021 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.887s, 135.32/s LR: 6.324e-05 P_Replacement: 0.5248068599253528 + +2023-08-09 18:44:07,548 - train: [ INFO] - Test: [ 0/7] Time: 1.156 (1.156) Loss: 0.2440 (0.2440) cLoss: 0.0000 (0.0000) Acc@1: 94.1667 (94.1667)Acc@5: 100.0000 (100.0000) + +2023-08-09 18:44:09,556 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.396) Loss: 0.5106 (0.3520) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.6092)Acc@5: 93.3333 (98.0460) + +2023-08-09 18:44:09,864 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-241.pth.tar', 91.6092011024212) + +2023-08-09 18:44:11,734 - train: [ INFO] - Train: 242 [ 0/65 ( 0%)] Loss: 0.016632 (0.0166) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.854s, 64.73/s LR: 6.150e-05 P_Replacement: 0.5249069629629629 + +2023-08-09 18:44:52,448 - train: [ INFO] - Train: 242 [ 50/65 ( 78%)] Loss: 0.017508 (0.0153) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.835s, 143.78/s LR: 6.150e-05 P_Replacement: 0.5299283604915793 + +2023-08-09 18:45:04,437 - train: [ INFO] - Train: 242 [ 64/65 (100%)] Loss: 0.013925 (0.0151) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.839s, 142.98/s LR: 6.150e-05 P_Replacement: 0.5313400679288591 + +2023-08-09 18:45:05,744 - train: [ INFO] - Test: [ 0/7] Time: 1.157 (1.157) Loss: 0.3632 (0.3632) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:45:07,844 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.407) Loss: 0.3066 (0.3614) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.6092)Acc@5: 100.0000 (98.0460) + +2023-08-09 18:45:10,315 - train: [ INFO] - Train: 243 [ 0/65 ( 0%)] Loss: 0.013767 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.147s, 55.88/s LR: 5.980e-05 P_Replacement: 0.531441 + +2023-08-09 18:45:52,713 - train: [ INFO] - Train: 243 [ 50/65 ( 78%)] Loss: 0.012978 (0.0145) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.873s, 137.42/s LR: 5.980e-05 P_Replacement: 0.5365039162662891 + +2023-08-09 18:46:05,421 - train: [ INFO] - Train: 243 [ 64/65 (100%)] Loss: 0.013664 (0.0145) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.881s, 136.26/s LR: 5.980e-05 P_Replacement: 0.5379272725135623 + +2023-08-09 18:46:06,829 - train: [ INFO] - Test: [ 0/7] Time: 1.259 (1.259) Loss: 0.3789 (0.3789) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 18:46:08,769 - train: [ INFO] - Test: [ 7/7] Time: 0.068 (0.400) Loss: 0.2097 (0.3622) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.8391)Acc@5: 100.0000 (97.8161) + +2023-08-09 18:46:09,254 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-243.pth.tar', 91.83908554603313) + +2023-08-09 18:46:11,242 - train: [ INFO] - Train: 244 [ 0/65 ( 0%)] Loss: 0.013049 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.967s, 61.00/s LR: 5.811e-05 P_Replacement: 0.5380290370370371 + +2023-08-09 18:46:52,318 - train: [ INFO] - Train: 244 [ 50/65 ( 78%)] Loss: 0.014926 (0.0147) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.844s, 142.19/s LR: 5.811e-05 P_Replacement: 0.5431336429811696 + +2023-08-09 18:47:03,795 - train: [ INFO] - Train: 244 [ 64/65 (100%)] Loss: 0.014023 (0.0148) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.839s, 143.08/s LR: 5.811e-05 P_Replacement: 0.5445686959016841 + +2023-08-09 18:47:05,426 - train: [ INFO] - Test: [ 0/7] Time: 1.393 (1.393) Loss: 0.4314 (0.4314) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 95.8333 (95.8333) + +2023-08-09 18:47:07,486 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.432) Loss: 0.4923 (0.3506) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.0345)Acc@5: 96.6667 (97.8161) + +2023-08-09 18:47:09,809 - train: [ INFO] - Train: 245 [ 0/65 ( 0%)] Loss: 0.013401 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.930s, 62.17/s LR: 5.646e-05 P_Replacement: 0.5446712962962963 + +2023-08-09 18:47:52,168 - train: [ INFO] - Train: 245 [ 50/65 ( 78%)] Loss: 0.016461 (0.0146) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.868s, 138.19/s LR: 5.646e-05 P_Replacement: 0.5498177628584433 + +2023-08-09 18:48:04,726 - train: [ INFO] - Train: 245 [ 64/65 (100%)] Loss: 0.013554 (0.0146) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.875s, 137.22/s LR: 5.646e-05 P_Replacement: 0.5512645603154469 + +2023-08-09 18:48:06,133 - train: [ INFO] - Test: [ 0/7] Time: 1.210 (1.210) Loss: 0.3684 (0.3684) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 96.6667 (96.6667) + +2023-08-09 18:48:08,152 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.404) Loss: 0.3988 (0.3543) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (91.4943)Acc@5: 96.6667 (97.8161) + +2023-08-09 18:48:10,511 - train: [ INFO] - Train: 246 [ 0/65 ( 0%)] Loss: 0.013569 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.852s, 64.78/s LR: 5.483e-05 P_Replacement: 0.5513679999999999 + +2023-08-09 18:48:52,322 - train: [ INFO] - Train: 246 [ 50/65 ( 78%)] Loss: 0.012990 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.856s, 140.17/s LR: 5.483e-05 P_Replacement: 0.5565564981203326 + +2023-08-09 18:49:03,576 - train: [ INFO] - Train: 246 [ 64/65 (100%)] Loss: 0.013300 (0.0148) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.845s, 142.04/s LR: 5.483e-05 P_Replacement: 0.558015087977073 + +2023-08-09 18:49:04,973 - train: [ INFO] - Test: [ 0/7] Time: 1.173 (1.173) Loss: 0.3819 (0.3819) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:49:07,353 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.444) Loss: 0.6635 (0.3492) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (91.3793)Acc@5: 90.0000 (97.7012) + +2023-08-09 18:49:09,701 - train: [ INFO] - Train: 247 [ 0/65 ( 0%)] Loss: 0.013938 (0.0139) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.038s, 58.89/s LR: 5.323e-05 P_Replacement: 0.5581193703703704 + +2023-08-09 18:49:49,971 - train: [ INFO] - Train: 247 [ 50/65 ( 78%)] Loss: 0.013590 (0.0143) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.830s, 144.66/s LR: 5.323e-05 P_Replacement: 0.5633500709890592 + +2023-08-09 18:50:01,388 - train: [ INFO] - Train: 247 [ 64/65 (100%)] Loss: 0.013629 (0.0144) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.826s, 145.19/s LR: 5.323e-05 P_Replacement: 0.5648205011087848 + +2023-08-09 18:50:02,780 - train: [ INFO] - Test: [ 0/7] Time: 1.159 (1.159) Loss: 0.4628 (0.4628) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 96.6667 (96.6667) + +2023-08-09 18:50:04,831 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.401) Loss: 0.2857 (0.3543) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.7241)Acc@5: 100.0000 (97.9310) + +2023-08-09 18:50:07,200 - train: [ INFO] - Train: 248 [ 0/65 ( 0%)] Loss: 0.013160 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.895s, 63.31/s LR: 5.165e-05 P_Replacement: 0.5649256296296297 + +2023-08-09 18:50:48,207 - train: [ INFO] - Train: 248 [ 50/65 ( 78%)] Loss: 0.014308 (0.0144) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.841s, 142.66/s LR: 5.165e-05 P_Replacement: 0.5701987036868457 + +2023-08-09 18:51:00,674 - train: [ INFO] - Train: 248 [ 64/65 (100%)] Loss: 0.013661 (0.0144) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.852s, 140.89/s LR: 5.165e-05 P_Replacement: 0.571681021932804 + +2023-08-09 18:51:02,206 - train: [ INFO] - Test: [ 0/7] Time: 1.252 (1.252) Loss: 0.4288 (0.4288) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 95.8333 (95.8333) + +2023-08-09 18:51:04,052 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.387) Loss: 0.1502 (0.3549) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (90.8046)Acc@5: 100.0000 (97.7012) + +2023-08-09 18:51:06,310 - train: [ INFO] - Train: 249 [ 0/65 ( 0%)] Loss: 0.013282 (0.0133) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.874s, 64.04/s LR: 5.010e-05 P_Replacement: 0.5717869999999999 + +2023-08-09 18:51:47,173 - train: [ INFO] - Train: 249 [ 50/65 ( 78%)] Loss: 0.017703 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.838s, 143.21/s LR: 5.010e-05 P_Replacement: 0.5771026184359141 + +2023-08-09 18:51:59,352 - train: [ INFO] - Train: 249 [ 64/65 (100%)] Loss: 0.016916 (0.0143) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.845s, 142.04/s LR: 5.010e-05 P_Replacement: 0.5785968726713531 + +2023-08-09 18:52:00,561 - train: [ INFO] - Test: [ 0/7] Time: 1.063 (1.063) Loss: 0.4386 (0.4386) cLoss: 0.0000 (0.0000) Acc@1: 89.1667 (89.1667)Acc@5: 95.0000 (95.0000) + +2023-08-09 18:52:02,871 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.422) Loss: 0.1389 (0.3625) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.3793)Acc@5: 100.0000 (97.7012) + +2023-08-09 18:52:05,301 - train: [ INFO] - Train: 250 [ 0/65 ( 0%)] Loss: 0.013483 (0.0135) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.040s, 58.83/s LR: 4.858e-05 P_Replacement: 0.5787037037037038 + +2023-08-09 18:52:48,201 - train: [ INFO] - Train: 250 [ 50/65 ( 78%)] Loss: 0.013175 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.881s, 136.19/s LR: 4.858e-05 P_Replacement: 0.5840620374584872 + +2023-08-09 18:52:59,421 - train: [ INFO] - Train: 250 [ 64/65 (100%)] Loss: 0.014199 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.864s, 138.90/s LR: 4.858e-05 P_Replacement: 0.5855682755466546 + +2023-08-09 18:53:00,787 - train: [ INFO] - Test: [ 0/7] Time: 1.146 (1.146) Loss: 0.2109 (0.2109) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (96.6667)Acc@5: 99.1667 (99.1667) + +2023-08-09 18:53:03,204 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.445) Loss: 0.2321 (0.3596) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.8391)Acc@5: 96.6667 (97.5862) + +2023-08-09 18:53:05,599 - train: [ INFO] - Train: 251 [ 0/65 ( 0%)] Loss: 0.013733 (0.0137) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.003s, 59.91/s LR: 4.709e-05 P_Replacement: 0.585675962962963 + +2023-08-09 18:53:43,884 - train: [ INFO] - Train: 251 [ 50/65 ( 78%)] Loss: 0.013611 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.790s, 151.92/s LR: 4.709e-05 P_Replacement: 0.5910771829767865 + +2023-08-09 18:53:55,403 - train: [ INFO] - Train: 251 [ 64/65 (100%)] Loss: 0.013471 (0.0143) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.797s, 150.57/s LR: 4.709e-05 P_Replacement: 0.5925954527809302 + +2023-08-09 18:53:56,759 - train: [ INFO] - Test: [ 0/7] Time: 1.213 (1.213) Loss: 0.3088 (0.3088) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:53:58,721 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.397) Loss: 0.4056 (0.3556) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (91.1494)Acc@5: 96.6667 (97.5862) + +2023-08-09 18:54:01,086 - train: [ INFO] - Train: 252 [ 0/65 ( 0%)] Loss: 0.013033 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.973s, 60.81/s LR: 4.562e-05 P_Replacement: 0.5927039999999999 + +2023-08-09 18:54:39,498 - train: [ INFO] - Train: 252 [ 50/65 ( 78%)] Loss: 0.012765 (0.0141) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.792s, 151.55/s LR: 4.562e-05 P_Replacement: 0.5981482772130345 + +2023-08-09 18:54:51,816 - train: [ INFO] - Train: 252 [ 64/65 (100%)] Loss: 0.013109 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.811s, 148.01/s LR: 4.562e-05 P_Replacement: 0.5996786265964025 + +2023-08-09 18:54:53,235 - train: [ INFO] - Test: [ 0/7] Time: 0.997 (0.997) Loss: 0.2921 (0.2921) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:54:55,183 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.368) Loss: 0.2620 (0.3539) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.4943)Acc@5: 100.0000 (97.5862) + +2023-08-09 18:54:57,756 - train: [ INFO] - Train: 253 [ 0/65 ( 0%)] Loss: 0.013006 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.105s, 57.00/s LR: 4.418e-05 P_Replacement: 0.5997880370370371 + +2023-08-09 18:55:39,832 - train: [ INFO] - Train: 253 [ 50/65 ( 78%)] Loss: 0.013973 (0.0140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.866s, 138.53/s LR: 4.418e-05 P_Replacement: 0.6052755423894537 + +2023-08-09 18:55:50,473 - train: [ INFO] - Train: 253 [ 64/65 (100%)] Loss: 0.015429 (0.0139) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.843s, 142.29/s LR: 4.418e-05 P_Replacement: 0.6068180192152937 + +2023-08-09 18:55:51,923 - train: [ INFO] - Test: [ 0/7] Time: 1.195 (1.195) Loss: 0.4248 (0.4248) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:55:53,923 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.399) Loss: 0.1227 (0.3525) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.8391)Acc@5: 100.0000 (97.5862) + +2023-08-09 18:55:56,148 - train: [ INFO] - Train: 254 [ 0/65 ( 0%)] Loss: 0.016399 (0.0164) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.789s, 67.07/s LR: 4.277e-05 P_Replacement: 0.6069282962962963 + +2023-08-09 18:56:38,129 - train: [ INFO] - Train: 254 [ 50/65 ( 78%)] Loss: 0.012770 (0.0139) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.858s, 139.84/s LR: 4.277e-05 P_Replacement: 0.6124592007282659 + +2023-08-09 18:56:49,919 - train: [ INFO] - Train: 254 [ 64/65 (100%)] Loss: 0.015805 (0.0139) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.855s, 140.40/s LR: 4.277e-05 P_Replacement: 0.6140138528598257 + +2023-08-09 18:56:51,463 - train: [ INFO] - Test: [ 0/7] Time: 1.259 (1.259) Loss: 0.3689 (0.3689) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:56:53,837 - train: [ INFO] - Test: [ 7/7] Time: 0.151 (0.454) Loss: 0.4503 (0.3583) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (91.4943)Acc@5: 96.6667 (97.8161) + +2023-08-09 18:56:56,793 - train: [ INFO] - Train: 255 [ 0/65 ( 0%)] Loss: 0.013396 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.432s, 49.33/s LR: 4.139e-05 P_Replacement: 0.6141249999999999 + +2023-08-09 18:57:38,998 - train: [ INFO] - Train: 255 [ 50/65 ( 78%)] Loss: 0.012682 (0.0140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.875s, 137.11/s LR: 4.139e-05 P_Replacement: 0.6196994744516933 + +2023-08-09 18:57:50,149 - train: [ INFO] - Train: 255 [ 64/65 (100%)] Loss: 0.013456 (0.0142) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.858s, 139.83/s LR: 4.139e-05 P_Replacement: 0.621266349752221 + +2023-08-09 18:57:51,502 - train: [ INFO] - Test: [ 0/7] Time: 1.138 (1.138) Loss: 0.3362 (0.3362) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 98.3333 (98.3333) + +2023-08-09 18:57:53,557 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.399) Loss: 0.6138 (0.3518) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (91.2644)Acc@5: 93.3333 (97.9310) + +2023-08-09 18:57:55,825 - train: [ INFO] - Train: 256 [ 0/65 ( 0%)] Loss: 0.012662 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.873s, 64.05/s LR: 4.003e-05 P_Replacement: 0.6213783703703705 + +2023-08-09 18:58:37,384 - train: [ INFO] - Train: 256 [ 50/65 ( 78%)] Loss: 0.013508 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.852s, 140.92/s LR: 4.003e-05 P_Replacement: 0.6269965857819587 + +2023-08-09 18:58:49,072 - train: [ INFO] - Train: 256 [ 64/65 (100%)] Loss: 0.012952 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.848s, 141.52/s LR: 4.003e-05 P_Replacement: 0.628575732114702 + +2023-08-09 18:58:50,492 - train: [ INFO] - Test: [ 0/7] Time: 1.168 (1.168) Loss: 0.3656 (0.3656) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 18:58:52,468 - train: [ INFO] - Test: [ 7/7] Time: 0.067 (0.393) Loss: 0.4414 (0.3460) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (91.8391)Acc@5: 96.6667 (97.8161) + +2023-08-09 18:58:53,176 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-256.pth.tar', 91.83908659836342) + +2023-08-09 18:58:55,068 - train: [ INFO] - Train: 257 [ 0/65 ( 0%)] Loss: 0.013338 (0.0133) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.845s, 65.04/s LR: 3.871e-05 P_Replacement: 0.6286886296296297 + +2023-08-09 18:59:35,545 - train: [ INFO] - Train: 257 [ 50/65 ( 78%)] Loss: 0.012314 (0.0140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.830s, 144.62/s LR: 3.871e-05 P_Replacement: 0.6343507569412836 + +2023-08-09 18:59:47,553 - train: [ INFO] - Train: 257 [ 64/65 (100%)] Loss: 0.012643 (0.0140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.836s, 143.58/s LR: 3.871e-05 P_Replacement: 0.6359422221694904 + +2023-08-09 18:59:48,798 - train: [ INFO] - Test: [ 0/7] Time: 1.075 (1.075) Loss: 0.4273 (0.4273) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 95.0000 (95.0000) + +2023-08-09 18:59:50,746 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.378) Loss: 0.1547 (0.3459) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.8391)Acc@5: 100.0000 (97.5862) + +2023-08-09 18:59:53,462 - train: [ INFO] - Train: 258 [ 0/65 ( 0%)] Loss: 0.013215 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.150s, 55.81/s LR: 3.741e-05 P_Replacement: 0.636056 + +2023-08-09 19:00:34,648 - train: [ INFO] - Train: 258 [ 50/65 ( 78%)] Loss: 0.012380 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.850s, 141.23/s LR: 3.741e-05 P_Replacement: 0.6417622101518906 + +2023-08-09 19:00:45,568 - train: [ INFO] - Train: 258 [ 64/65 (100%)] Loss: 0.017379 (0.0135) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.835s, 143.78/s LR: 3.741e-05 P_Replacement: 0.6433660421388088 + +2023-08-09 19:00:46,937 - train: [ INFO] - Test: [ 0/7] Time: 1.078 (1.078) Loss: 0.5110 (0.5110) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 95.0000 (95.0000) + +2023-08-09 19:00:49,130 - train: [ INFO] - Test: [ 7/7] Time: 0.076 (0.409) Loss: 0.4245 (0.3552) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (91.3793)Acc@5: 100.0000 (97.8161) + +2023-08-09 19:00:51,481 - train: [ INFO] - Train: 259 [ 0/65 ( 0%)] Loss: 0.013418 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.905s, 62.99/s LR: 3.614e-05 P_Replacement: 0.6434807037037036 + +2023-08-09 19:01:33,806 - train: [ INFO] - Train: 259 [ 50/65 ( 78%)] Loss: 0.012435 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.867s, 138.37/s LR: 3.614e-05 P_Replacement: 0.6492311676360021 + +2023-08-09 19:01:44,875 - train: [ INFO] - Train: 259 [ 64/65 (100%)] Loss: 0.013246 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.851s, 141.06/s LR: 3.614e-05 P_Replacement: 0.6508474142448792 + +2023-08-09 19:01:46,033 - train: [ INFO] - Test: [ 0/7] Time: 0.999 (0.999) Loss: 0.3976 (0.3976) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 19:01:48,206 - train: [ INFO] - Test: [ 7/7] Time: 0.064 (0.396) Loss: 0.1739 (0.3487) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (92.0690)Acc@5: 100.0000 (97.4713) + +2023-08-09 19:01:48,532 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-259.pth.tar', 92.06897025272764) + +2023-08-09 19:01:50,643 - train: [ INFO] - Train: 260 [ 0/65 ( 0%)] Loss: 0.012912 (0.0129) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.093s, 57.33/s LR: 3.490e-05 P_Replacement: 0.6509629629629631 + +2023-08-09 19:02:31,167 - train: [ INFO] - Train: 260 [ 50/65 ( 78%)] Loss: 0.013953 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.836s, 143.61/s LR: 3.490e-05 P_Replacement: 0.6567578516158399 + +2023-08-09 19:02:41,777 - train: [ INFO] - Train: 260 [ 64/65 (100%)] Loss: 0.015495 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.819s, 146.55/s LR: 3.490e-05 P_Replacement: 0.6583865607099244 + +2023-08-09 19:02:42,938 - train: [ INFO] - Test: [ 0/7] Time: 0.999 (0.999) Loss: 0.3007 (0.3007) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 100.0000 (100.0000) + +2023-08-09 19:02:45,051 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.389) Loss: 0.2976 (0.3652) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.3793)Acc@5: 100.0000 (97.5862) + +2023-08-09 19:02:47,329 - train: [ INFO] - Train: 261 [ 0/65 ( 0%)] Loss: 0.015670 (0.0157) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.874s, 64.02/s LR: 3.368e-05 P_Replacement: 0.658503 + +2023-08-09 19:03:28,605 - train: [ INFO] - Train: 261 [ 50/65 ( 78%)] Loss: 0.012838 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.846s, 141.84/s LR: 3.368e-05 P_Replacement: 0.6643424843136263 + +2023-08-09 19:03:40,498 - train: [ INFO] - Train: 261 [ 64/65 (100%)] Loss: 0.013415 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.847s, 141.72/s LR: 3.368e-05 P_Replacement: 0.6659837037561658 + +2023-08-09 19:03:42,077 - train: [ INFO] - Test: [ 0/7] Time: 1.105 (1.105) Loss: 0.5221 (0.5221) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 96.6667 (96.6667) + +2023-08-09 19:03:44,076 - train: [ INFO] - Test: [ 7/7] Time: 0.076 (0.388) Loss: 0.0406 (0.3527) cLoss: 0.0000 (0.0000) Acc@1: 100.0000 (91.9540)Acc@5: 100.0000 (97.8161) + +2023-08-09 19:03:46,606 - train: [ INFO] - Train: 262 [ 0/65 ( 0%)] Loss: 0.012779 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.765s, 67.97/s LR: 3.250e-05 P_Replacement: 0.6661010370370369 + +2023-08-09 19:04:27,217 - train: [ INFO] - Train: 262 [ 50/65 ( 78%)] Loss: 0.016970 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.831s, 144.45/s LR: 3.250e-05 P_Replacement: 0.6719852879515837 + +2023-08-09 19:04:39,367 - train: [ INFO] - Train: 262 [ 64/65 (100%)] Loss: 0.016324 (0.0138) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.839s, 143.08/s LR: 3.250e-05 P_Replacement: 0.673639065605826 + +2023-08-09 19:04:40,787 - train: [ INFO] - Test: [ 0/7] Time: 1.164 (1.164) Loss: 0.2249 (0.2249) cLoss: 0.0000 (0.0000) Acc@1: 95.8333 (95.8333)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:04:42,873 - train: [ INFO] - Test: [ 7/7] Time: 0.081 (0.406) Loss: 0.4340 (0.3439) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (91.7241)Acc@5: 93.3333 (97.7012) + +2023-08-09 19:04:45,260 - train: [ INFO] - Train: 263 [ 0/65 ( 0%)] Loss: 0.012706 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.922s, 62.42/s LR: 3.135e-05 P_Replacement: 0.6737572962962964 + +2023-08-09 19:05:26,765 - train: [ INFO] - Train: 263 [ 50/65 ( 78%)] Loss: 0.013565 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.851s, 140.93/s LR: 3.135e-05 P_Replacement: 0.6796864847519345 + +2023-08-09 19:05:39,031 - train: [ INFO] - Train: 263 [ 64/65 (100%)] Loss: 0.012338 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.857s, 140.06/s LR: 3.135e-05 P_Replacement: 0.6813528684811275 + +2023-08-09 19:05:40,198 - train: [ INFO] - Test: [ 0/7] Time: 1.021 (1.021) Loss: 0.2414 (0.2414) cLoss: 0.0000 (0.0000) Acc@1: 94.1667 (94.1667)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:05:42,296 - train: [ INFO] - Test: [ 7/7] Time: 0.077 (0.390) Loss: 0.3049 (0.3435) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.8391)Acc@5: 96.6667 (97.8161) + +2023-08-09 19:05:44,766 - train: [ INFO] - Train: 264 [ 0/65 ( 0%)] Loss: 0.013034 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.059s, 58.27/s LR: 3.022e-05 P_Replacement: 0.681472 + +2023-08-09 19:06:28,322 - train: [ INFO] - Train: 264 [ 50/65 ( 78%)] Loss: 0.012870 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.894s, 134.17/s LR: 3.022e-05 P_Replacement: 0.6874462969369005 + +2023-08-09 19:06:40,315 - train: [ INFO] - Train: 264 [ 64/65 (100%)] Loss: 0.012370 (0.0131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.886s, 135.41/s LR: 3.022e-05 P_Replacement: 0.689125334604292 + +2023-08-09 19:06:41,665 - train: [ INFO] - Test: [ 0/7] Time: 1.188 (1.188) Loss: 0.3766 (0.3766) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 19:06:43,761 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.411) Loss: 0.7834 (0.3530) cLoss: 0.0000 (0.0000) Acc@1: 76.6667 (91.3793)Acc@5: 93.3333 (97.4713) + +2023-08-09 19:06:46,063 - train: [ INFO] - Train: 265 [ 0/65 ( 0%)] Loss: 0.012864 (0.0129) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.990s, 60.30/s LR: 2.913e-05 P_Replacement: 0.6892453703703703 + +2023-08-09 19:07:27,626 - train: [ INFO] - Train: 265 [ 50/65 ( 78%)] Loss: 0.012597 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.854s, 140.53/s LR: 2.913e-05 P_Replacement: 0.695264946728704 + +2023-08-09 19:07:38,800 - train: [ INFO] - Train: 265 [ 64/65 (100%)] Loss: 0.012261 (0.0131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.842s, 142.54/s LR: 2.913e-05 P_Replacement: 0.696956686197542 + +2023-08-09 19:07:39,968 - train: [ INFO] - Test: [ 0/7] Time: 1.016 (1.016) Loss: 0.2898 (0.2898) cLoss: 0.0000 (0.0000) Acc@1: 94.1667 (94.1667)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:07:42,037 - train: [ INFO] - Test: [ 7/7] Time: 0.097 (0.386) Loss: 0.4277 (0.3464) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (92.0690)Acc@5: 96.6667 (98.0460) + +2023-08-09 19:07:42,525 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-265.pth.tar', 92.06897104197535) + +2023-08-09 19:07:44,622 - train: [ INFO] - Train: 266 [ 0/65 ( 0%)] Loss: 0.014997 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.081s, 57.66/s LR: 2.806e-05 P_Replacement: 0.6970776296296297 + +2023-08-09 19:08:26,192 - train: [ INFO] - Train: 266 [ 50/65 ( 78%)] Loss: 0.015424 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.856s, 140.22/s LR: 2.806e-05 P_Replacement: 0.7031426563495676 + +2023-08-09 19:08:38,245 - train: [ INFO] - Train: 266 [ 64/65 (100%)] Loss: 0.012245 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.857s, 140.08/s LR: 2.806e-05 P_Replacement: 0.7048471454830999 + +2023-08-09 19:08:39,624 - train: [ INFO] - Test: [ 0/7] Time: 1.101 (1.101) Loss: 0.4280 (0.4280) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 99.1667 (99.1667) + +2023-08-09 19:08:41,488 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.371) Loss: 0.3203 (0.3552) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.2644)Acc@5: 100.0000 (97.9310) + +2023-08-09 19:08:43,871 - train: [ INFO] - Train: 267 [ 0/65 ( 0%)] Loss: 0.011887 (0.0119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.943s, 61.76/s LR: 2.702e-05 P_Replacement: 0.7049690000000001 + +2023-08-09 19:09:24,746 - train: [ INFO] - Train: 267 [ 50/65 ( 78%)] Loss: 0.012970 (0.0137) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.839s, 142.96/s LR: 2.702e-05 P_Replacement: 0.7110796480217131 + +2023-08-09 19:09:37,040 - train: [ INFO] - Train: 267 [ 64/65 (100%)] Loss: 0.013154 (0.0137) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.848s, 141.55/s LR: 2.702e-05 P_Replacement: 0.7127969346831875 + +2023-08-09 19:09:38,357 - train: [ INFO] - Test: [ 0/7] Time: 1.100 (1.100) Loss: 0.4090 (0.4090) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:09:40,551 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.412) Loss: 0.2394 (0.3445) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.6092)Acc@5: 100.0000 (97.8161) + +2023-08-09 19:09:42,911 - train: [ INFO] - Train: 268 [ 0/65 ( 0%)] Loss: 0.012894 (0.0129) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.962s, 61.16/s LR: 2.602e-05 P_Replacement: 0.7129197037037036 + +2023-08-09 19:10:24,303 - train: [ INFO] - Train: 268 [ 50/65 ( 78%)] Loss: 0.011892 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.850s, 141.18/s LR: 2.602e-05 P_Replacement: 0.7190761439673629 + +2023-08-09 19:10:36,187 - train: [ INFO] - Train: 268 [ 64/65 (100%)] Loss: 0.012554 (0.0131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.850s, 141.22/s LR: 2.602e-05 P_Replacement: 0.7208062760200272 + +2023-08-09 19:10:37,656 - train: [ INFO] - Test: [ 0/7] Time: 1.208 (1.208) Loss: 0.3368 (0.3368) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 19:10:39,491 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.380) Loss: 0.5344 (0.3610) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (91.2644)Acc@5: 96.6667 (97.7012) + +2023-08-09 19:10:41,737 - train: [ INFO] - Train: 269 [ 0/65 ( 0%)] Loss: 0.011825 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.786s, 67.17/s LR: 2.504e-05 P_Replacement: 0.7209299629629629 + +2023-08-09 19:11:20,343 - train: [ INFO] - Train: 269 [ 50/65 ( 78%)] Loss: 0.012251 (0.0131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.792s, 151.52/s LR: 2.504e-05 P_Replacement: 0.7271323664087394 + +2023-08-09 19:11:32,045 - train: [ INFO] - Train: 269 [ 64/65 (100%)] Loss: 0.012865 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.801s, 149.74/s LR: 2.504e-05 P_Replacement: 0.7288753917158416 + +2023-08-09 19:11:33,456 - train: [ INFO] - Test: [ 0/7] Time: 1.055 (1.055) Loss: 0.2372 (0.2372) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 100.0000 (100.0000) + +2023-08-09 19:11:35,603 - train: [ INFO] - Test: [ 7/7] Time: 0.125 (0.400) Loss: 0.3083 (0.3541) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.0345)Acc@5: 96.6667 (97.3563) + +2023-08-09 19:11:38,521 - train: [ INFO] - Train: 270 [ 0/65 ( 0%)] Loss: 0.013175 (0.0132) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.369s, 50.66/s LR: 2.409e-05 P_Replacement: 0.7290000000000001 + +2023-08-09 19:12:18,267 - train: [ INFO] - Train: 270 [ 50/65 ( 78%)] Loss: 0.012658 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.826s, 145.33/s LR: 2.409e-05 P_Replacement: 0.7352485375680642 + +2023-08-09 19:12:28,604 - train: [ INFO] - Train: 270 [ 64/65 (100%)] Loss: 0.012738 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.807s, 148.72/s LR: 2.409e-05 P_Replacement: 0.7370045039928522 + +2023-08-09 19:12:29,751 - train: [ INFO] - Test: [ 0/7] Time: 1.005 (1.005) Loss: 0.4301 (0.4301) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 96.6667 (96.6667) + +2023-08-09 19:12:31,804 - train: [ INFO] - Test: [ 7/7] Time: 0.113 (0.382) Loss: 0.2746 (0.3438) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.4943)Acc@5: 100.0000 (97.9310) + +2023-08-09 19:12:34,433 - train: [ INFO] - Train: 271 [ 0/65 ( 0%)] Loss: 0.013611 (0.0136) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.242s, 53.52/s LR: 2.318e-05 P_Replacement: 0.7371300370370371 + +2023-08-09 19:13:16,244 - train: [ INFO] - Train: 271 [ 50/65 ( 78%)] Loss: 0.012532 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.864s, 138.93/s LR: 2.318e-05 P_Replacement: 0.7434248796675601 + +2023-08-09 19:13:28,321 - train: [ INFO] - Train: 271 [ 64/65 (100%)] Loss: 0.012191 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.863s, 138.97/s LR: 2.318e-05 P_Replacement: 0.7451938350732817 + +2023-08-09 19:13:29,634 - train: [ INFO] - Test: [ 0/7] Time: 1.111 (1.111) Loss: 0.3171 (0.3171) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:13:31,546 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.378) Loss: 0.1424 (0.3464) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (92.0690)Acc@5: 100.0000 (97.7012) + +2023-08-09 19:13:34,185 - train: [ INFO] - Train: 272 [ 0/65 ( 0%)] Loss: 0.011586 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.197s, 54.63/s LR: 2.229e-05 P_Replacement: 0.7453202962962961 + +2023-08-09 19:14:12,767 - train: [ INFO] - Train: 272 [ 50/65 ( 78%)] Loss: 0.014998 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.800s, 150.09/s LR: 2.229e-05 P_Replacement: 0.7516616149294492 + +2023-08-09 19:14:24,350 - train: [ INFO] - Train: 272 [ 64/65 (100%)] Loss: 0.011499 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.805s, 149.00/s LR: 2.229e-05 P_Replacement: 0.7534436071793522 + +2023-08-09 19:14:25,851 - train: [ INFO] - Test: [ 0/7] Time: 1.212 (1.212) Loss: 0.4901 (0.4901) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 19:14:27,814 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.397) Loss: 0.2415 (0.3375) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (92.0690)Acc@5: 96.6667 (97.9310) + +2023-08-09 19:14:30,235 - train: [ INFO] - Train: 273 [ 0/65 ( 0%)] Loss: 0.012859 (0.0129) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.915s, 62.67/s LR: 2.143e-05 P_Replacement: 0.7535710000000001 + +2023-08-09 19:15:12,523 - train: [ INFO] - Train: 273 [ 50/65 ( 78%)] Loss: 0.014019 (0.0129) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.867s, 138.46/s LR: 2.143e-05 P_Replacement: 0.7599589655759538 + +2023-08-09 19:15:23,647 - train: [ INFO] - Train: 273 [ 64/65 (100%)] Loss: 0.012167 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.851s, 140.99/s LR: 2.143e-05 P_Replacement: 0.7617540425332862 + +2023-08-09 19:15:24,884 - train: [ INFO] - Test: [ 0/7] Time: 1.091 (1.091) Loss: 0.4352 (0.4352) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 19:15:26,939 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.393) Loss: 0.1168 (0.3537) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.1494)Acc@5: 100.0000 (97.8161) + +2023-08-09 19:15:29,104 - train: [ INFO] - Train: 274 [ 0/65 ( 0%)] Loss: 0.012150 (0.0122) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.843s, 65.10/s LR: 2.061e-05 P_Replacement: 0.7618823703703703 + +2023-08-09 19:16:10,274 - train: [ INFO] - Train: 274 [ 50/65 ( 78%)] Loss: 0.012109 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.843s, 142.29/s LR: 2.061e-05 P_Replacement: 0.7683171538292958 + +2023-08-09 19:16:23,536 - train: [ INFO] - Train: 274 [ 64/65 (100%)] Loss: 0.012154 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.866s, 138.64/s LR: 2.061e-05 P_Replacement: 0.7701253633573054 + +2023-08-09 19:16:24,993 - train: [ INFO] - Test: [ 0/7] Time: 1.231 (1.231) Loss: 0.3504 (0.3504) cLoss: 0.0000 (0.0000) Acc@1: 94.1667 (94.1667)Acc@5: 97.5000 (97.5000) + +2023-08-09 19:16:27,130 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.421) Loss: 0.3088 (0.3489) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.4943)Acc@5: 96.6667 (97.8161) + +2023-08-09 19:16:29,789 - train: [ INFO] - Train: 275 [ 0/65 ( 0%)] Loss: 0.012134 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.159s, 55.58/s LR: 1.981e-05 P_Replacement: 0.7702546296296295 + +2023-08-09 19:17:10,980 - train: [ INFO] - Train: 275 [ 50/65 ( 78%)] Loss: 0.012045 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.850s, 141.18/s LR: 1.981e-05 P_Replacement: 0.7767364019116977 + +2023-08-09 19:17:21,420 - train: [ INFO] - Train: 275 [ 64/65 (100%)] Loss: 0.012494 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.827s, 145.02/s LR: 1.981e-05 P_Replacement: 0.7785577918736323 + +2023-08-09 19:17:22,906 - train: [ INFO] - Test: [ 0/7] Time: 1.257 (1.257) Loss: 0.3641 (0.3641) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 97.5000 (97.5000) + +2023-08-09 19:17:24,884 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.404) Loss: 0.5407 (0.3469) cLoss: 0.0000 (0.0000) Acc@1: 80.0000 (91.7241)Acc@5: 96.6667 (98.0460) + +2023-08-09 19:17:27,438 - train: [ INFO] - Train: 276 [ 0/65 ( 0%)] Loss: 0.013259 (0.0133) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.156s, 55.66/s LR: 1.905e-05 P_Replacement: 0.778688 + +2023-08-09 19:18:07,622 - train: [ INFO] - Train: 276 [ 50/65 ( 78%)] Loss: 0.013079 (0.0129) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.830s, 144.55/s LR: 1.905e-05 P_Replacement: 0.7852169320453818 + +2023-08-09 19:18:19,635 - train: [ INFO] - Train: 276 [ 64/65 (100%)] Loss: 0.012848 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.836s, 143.52/s LR: 1.905e-05 P_Replacement: 0.7870515503044894 + +2023-08-09 19:18:21,014 - train: [ INFO] - Test: [ 0/7] Time: 1.152 (1.152) Loss: 0.4343 (0.4343) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 96.6667 (96.6667) + +2023-08-09 19:18:23,081 - train: [ INFO] - Test: [ 7/7] Time: 0.080 (0.402) Loss: 0.4980 (0.3429) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (91.3793)Acc@5: 96.6667 (97.9310) + +2023-08-09 19:18:25,234 - train: [ INFO] - Train: 277 [ 0/65 ( 0%)] Loss: 0.012718 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.742s, 68.90/s LR: 1.831e-05 P_Replacement: 0.7871827037037037 + +2023-08-09 19:19:08,084 - train: [ INFO] - Train: 277 [ 50/65 ( 78%)] Loss: 0.011598 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.874s, 137.25/s LR: 1.831e-05 P_Replacement: 0.79375896645257 + +2023-08-09 19:19:19,503 - train: [ INFO] - Train: 277 [ 64/65 (100%)] Loss: 0.012166 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.862s, 139.27/s LR: 1.831e-05 P_Replacement: 0.7956068608720983 + +2023-08-09 19:19:21,057 - train: [ INFO] - Test: [ 0/7] Time: 1.324 (1.324) Loss: 0.4562 (0.4562) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 94.1667 (94.1667) + +2023-08-09 19:19:23,037 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.413) Loss: 0.7546 (0.3475) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (91.8391)Acc@5: 93.3333 (97.4713) + +2023-08-09 19:19:25,362 - train: [ INFO] - Train: 278 [ 0/65 ( 0%)] Loss: 0.012107 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.932s, 62.10/s LR: 1.761e-05 P_Replacement: 0.7957389629629629 + +2023-08-09 19:20:07,190 - train: [ INFO] - Train: 278 [ 50/65 ( 78%)] Loss: 0.013363 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.858s, 139.86/s LR: 1.761e-05 P_Replacement: 0.8023627273554846 + +2023-08-09 19:20:17,635 - train: [ INFO] - Train: 278 [ 64/65 (100%)] Loss: 0.012452 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.834s, 143.91/s LR: 1.761e-05 P_Replacement: 0.8042239457986816 + +2023-08-09 19:20:18,928 - train: [ INFO] - Test: [ 0/7] Time: 0.996 (0.996) Loss: 0.3740 (0.3740) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 97.5000 (97.5000) + +2023-08-09 19:20:21,027 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.387) Loss: 0.1133 (0.3433) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (92.0690)Acc@5: 100.0000 (98.1609) + +2023-08-09 19:20:23,180 - train: [ INFO] - Train: 279 [ 0/65 ( 0%)] Loss: 0.015098 (0.0151) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.752s, 68.50/s LR: 1.694e-05 P_Replacement: 0.8043570000000001 + +2023-08-09 19:21:03,765 - train: [ INFO] - Train: 279 [ 50/65 ( 78%)] Loss: 0.011785 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.830s, 144.56/s LR: 1.694e-05 P_Replacement: 0.8110284369763483 + +2023-08-09 19:21:16,374 - train: [ INFO] - Train: 279 [ 64/65 (100%)] Loss: 0.012012 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.845s, 141.97/s LR: 1.694e-05 P_Replacement: 0.8129030273064618 + +2023-08-09 19:21:17,837 - train: [ INFO] - Test: [ 0/7] Time: 1.300 (1.300) Loss: 0.3405 (0.3405) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:21:19,948 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.426) Loss: 0.1194 (0.3357) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (92.2989)Acc@5: 100.0000 (97.8161) + +2023-08-09 19:21:20,339 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-279.pth.tar', 92.29885495942214) + +2023-08-09 19:21:22,356 - train: [ INFO] - Train: 280 [ 0/65 ( 0%)] Loss: 0.011522 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.001s, 59.98/s LR: 1.629e-05 P_Replacement: 0.8130370370370371 + +2023-08-09 19:22:04,374 - train: [ INFO] - Train: 280 [ 50/65 ( 78%)] Loss: 0.012141 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.863s, 139.04/s LR: 1.629e-05 P_Replacement: 0.8197563175373827 + +2023-08-09 19:22:16,110 - train: [ INFO] - Train: 280 [ 64/65 (100%)] Loss: 0.012657 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.858s, 139.91/s LR: 1.629e-05 P_Replacement: 0.8216443276176605 + +2023-08-09 19:22:17,701 - train: [ INFO] - Test: [ 0/7] Time: 1.306 (1.306) Loss: 0.3101 (0.3101) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 97.5000 (97.5000) + +2023-08-09 19:22:19,735 - train: [ INFO] - Test: [ 7/7] Time: 0.112 (0.417) Loss: 0.5785 (0.3493) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (91.4943)Acc@5: 93.3333 (97.2414) + +2023-08-09 19:22:22,097 - train: [ INFO] - Train: 281 [ 0/65 ( 0%)] Loss: 0.011764 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.840s, 65.22/s LR: 1.568e-05 P_Replacement: 0.8217792962962962 + +2023-08-09 19:23:04,347 - train: [ INFO] - Train: 281 [ 50/65 ( 78%)] Loss: 0.011105 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.864s, 138.81/s LR: 1.568e-05 P_Replacement: 0.8285465912608101 + +2023-08-09 19:23:15,084 - train: [ INFO] - Train: 281 [ 64/65 (100%)] Loss: 0.012558 (0.0125) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.843s, 142.27/s LR: 1.568e-05 P_Replacement: 0.8304480689545002 + +2023-08-09 19:23:16,478 - train: [ INFO] - Test: [ 0/7] Time: 1.112 (1.112) Loss: 0.3806 (0.3806) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 95.8333 (95.8333) + +2023-08-09 19:23:18,486 - train: [ INFO] - Test: [ 7/7] Time: 0.115 (0.390) Loss: 0.3379 (0.3447) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (92.0690)Acc@5: 100.0000 (97.5862) + +2023-08-09 19:23:21,590 - train: [ INFO] - Train: 282 [ 0/65 ( 0%)] Loss: 0.011741 (0.0117) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.496s, 48.08/s LR: 1.510e-05 P_Replacement: 0.8305839999999999 + +2023-08-09 19:24:04,014 - train: [ INFO] - Train: 282 [ 50/65 ( 78%)] Loss: 0.010780 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.881s, 136.25/s LR: 1.510e-05 P_Replacement: 0.8373994803688533 + +2023-08-09 19:24:16,799 - train: [ INFO] - Train: 282 [ 64/65 (100%)] Loss: 0.012131 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.888s, 135.18/s LR: 1.510e-05 P_Replacement: 0.8393144735392034 + +2023-08-09 19:24:18,096 - train: [ INFO] - Test: [ 0/7] Time: 1.120 (1.120) Loss: 0.2312 (0.2312) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (96.6667)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:24:20,064 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.386) Loss: 0.3614 (0.3378) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (92.6437)Acc@5: 100.0000 (97.7012) + +2023-08-09 19:24:20,512 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results2/train_DomainAdaptation/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/checkpoint-282.pth.tar', 92.64368359795932) + +2023-08-09 19:24:22,293 - train: [ INFO] - Train: 283 [ 0/65 ( 0%)] Loss: 0.012198 (0.0122) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.765s, 68.00/s LR: 1.455e-05 P_Replacement: 0.8394513703703704 + +2023-08-09 19:25:04,919 - train: [ INFO] - Train: 283 [ 50/65 ( 78%)] Loss: 0.011271 (0.0122) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.870s, 137.88/s LR: 1.455e-05 P_Replacement: 0.8463152070837338 + +2023-08-09 19:25:16,617 - train: [ INFO] - Train: 283 [ 64/65 (100%)] Loss: 0.012059 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.863s, 139.07/s LR: 1.455e-05 P_Replacement: 0.8482437635939919 + +2023-08-09 19:25:18,131 - train: [ INFO] - Test: [ 0/7] Time: 1.223 (1.223) Loss: 0.2415 (0.2415) cLoss: 0.0000 (0.0000) Acc@1: 94.1667 (94.1667)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:25:20,099 - train: [ INFO] - Test: [ 7/7] Time: 0.079 (0.399) Loss: 0.1574 (0.3358) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.8391)Acc@5: 100.0000 (97.7012) + +2023-08-09 19:25:22,454 - train: [ INFO] - Train: 284 [ 0/65 ( 0%)] Loss: 0.011553 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.942s, 61.80/s LR: 1.403e-05 P_Replacement: 0.8483816296296296 + +2023-08-09 19:26:04,617 - train: [ INFO] - Train: 284 [ 50/65 ( 78%)] Loss: 0.011929 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.865s, 138.77/s LR: 1.403e-05 P_Replacement: 0.855293993627674 + +2023-08-09 19:26:17,155 - train: [ INFO] - Train: 284 [ 64/65 (100%)] Loss: 0.014506 (0.0123) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.871s, 137.72/s LR: 1.403e-05 P_Replacement: 0.8572361613410879 + +2023-08-09 19:26:18,823 - train: [ INFO] - Test: [ 0/7] Time: 1.510 (1.510) Loss: 0.3310 (0.3310) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:26:20,727 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.427) Loss: 0.1377 (0.3453) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.6092)Acc@5: 100.0000 (97.8161) + +2023-08-09 19:26:23,127 - train: [ INFO] - Train: 285 [ 0/65 ( 0%)] Loss: 0.011510 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.022s, 59.34/s LR: 1.355e-05 P_Replacement: 0.8573749999999999 + +2023-08-09 19:27:06,100 - train: [ INFO] - Train: 285 [ 50/65 ( 78%)] Loss: 0.012283 (0.0120) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.882s, 136.02/s LR: 1.355e-05 P_Replacement: 0.8643360622228964 + +2023-08-09 19:27:18,834 - train: [ INFO] - Train: 285 [ 64/65 (100%)] Loss: 0.012176 (0.0120) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.888s, 135.12/s LR: 1.355e-05 P_Replacement: 0.866291889002714 + +2023-08-09 19:27:20,282 - train: [ INFO] - Test: [ 0/7] Time: 1.234 (1.234) Loss: 0.2899 (0.2899) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:27:22,328 - train: [ INFO] - Test: [ 7/7] Time: 0.063 (0.410) Loss: 0.5364 (0.3510) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (91.2644)Acc@5: 93.3333 (97.1264) + +2023-08-09 19:27:24,551 - train: [ INFO] - Train: 286 [ 0/65 ( 0%)] Loss: 0.011802 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.889s, 63.51/s LR: 1.309e-05 P_Replacement: 0.8664317037037038 + +2023-08-09 19:28:07,080 - train: [ INFO] - Train: 286 [ 50/65 ( 78%)] Loss: 0.011773 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.871s, 137.79/s LR: 1.309e-05 P_Replacement: 0.8734416350916233 + +2023-08-09 19:28:19,646 - train: [ INFO] - Train: 286 [ 64/65 (100%)] Loss: 0.011793 (0.0120) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.877s, 136.89/s LR: 1.309e-05 P_Replacement: 0.8754111688010925 + +2023-08-09 19:28:21,107 - train: [ INFO] - Test: [ 0/7] Time: 1.218 (1.218) Loss: 0.4013 (0.4013) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 96.6667 (96.6667) + +2023-08-09 19:28:23,259 - train: [ INFO] - Test: [ 7/7] Time: 0.078 (0.421) Loss: 0.2833 (0.3570) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.1494)Acc@5: 96.6667 (97.8161) + +2023-08-09 19:28:25,543 - train: [ INFO] - Train: 287 [ 0/65 ( 0%)] Loss: 0.011069 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.746s, 68.71/s LR: 1.266e-05 P_Replacement: 0.875551962962963 + +2023-08-09 19:29:09,038 - train: [ INFO] - Train: 287 [ 50/65 ( 78%)] Loss: 0.012169 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.887s, 135.30/s LR: 1.266e-05 P_Replacement: 0.8826109344560764 + +2023-08-09 19:29:19,567 - train: [ INFO] - Train: 287 [ 64/65 (100%)] Loss: 0.011616 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.858s, 139.88/s LR: 1.266e-05 P_Replacement: 0.884594222958445 + +2023-08-09 19:29:20,823 - train: [ INFO] - Test: [ 0/7] Time: 1.094 (1.094) Loss: 0.5530 (0.5530) cLoss: 0.0000 (0.0000) Acc@1: 87.5000 (87.5000)Acc@5: 95.0000 (95.0000) + +2023-08-09 19:29:22,868 - train: [ INFO] - Test: [ 7/7] Time: 0.066 (0.392) Loss: 0.2139 (0.3467) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (91.9540)Acc@5: 100.0000 (97.8161) + +2023-08-09 19:29:24,987 - train: [ INFO] - Train: 288 [ 0/65 ( 0%)] Loss: 0.011205 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.814s, 66.15/s LR: 1.227e-05 P_Replacement: 0.8847359999999999 + +2023-08-09 19:30:04,209 - train: [ INFO] - Train: 288 [ 50/65 ( 78%)] Loss: 0.013057 (0.0117) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.805s, 149.15/s LR: 1.227e-05 P_Replacement: 0.8918441825384783 + +2023-08-09 19:30:16,473 - train: [ INFO] - Train: 288 [ 64/65 (100%)] Loss: 0.011633 (0.0117) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.820s, 146.36/s LR: 1.227e-05 P_Replacement: 0.8938412736969941 + +2023-08-09 19:30:17,932 - train: [ INFO] - Test: [ 0/7] Time: 1.235 (1.235) Loss: 0.2509 (0.2509) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 99.1667 (99.1667) + +2023-08-09 19:30:20,038 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.418) Loss: 0.1822 (0.3454) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.7241)Acc@5: 100.0000 (97.5862) + +2023-08-09 19:30:22,357 - train: [ INFO] - Train: 289 [ 0/65 ( 0%)] Loss: 0.011095 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.935s, 62.02/s LR: 1.191e-05 P_Replacement: 0.8939840370370371 + +2023-08-09 19:31:03,403 - train: [ INFO] - Train: 289 [ 50/65 ( 78%)] Loss: 0.011012 (0.0119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.843s, 142.40/s LR: 1.191e-05 P_Replacement: 0.9011416015610514 + +2023-08-09 19:31:15,430 - train: [ INFO] - Train: 289 [ 64/65 (100%)] Loss: 0.010985 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.846s, 141.81/s LR: 1.191e-05 P_Replacement: 0.9031525432389623 + +2023-08-09 19:31:16,712 - train: [ INFO] - Test: [ 0/7] Time: 1.051 (1.051) Loss: 0.4960 (0.4960) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 93.3333 (93.3333) + +2023-08-09 19:31:18,770 - train: [ INFO] - Test: [ 7/7] Time: 0.104 (0.389) Loss: 0.3944 (0.3406) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (91.9540)Acc@5: 100.0000 (97.8161) + +2023-08-09 19:31:21,357 - train: [ INFO] - Train: 290 [ 0/65 ( 0%)] Loss: 0.011503 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.273s, 52.79/s LR: 1.158e-05 P_Replacement: 0.9032962962962963 + +2023-08-09 19:32:02,321 - train: [ INFO] - Train: 290 [ 50/65 ( 78%)] Loss: 0.010869 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.848s, 141.55/s LR: 1.158e-05 P_Replacement: 0.9105034137460173 + +2023-08-09 19:32:13,344 - train: [ INFO] - Train: 290 [ 64/65 (100%)] Loss: 0.011706 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.835s, 143.76/s LR: 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1.128e-05 P_Replacement: 0.9219686276220435 + +2023-08-09 19:33:13,304 - train: [ INFO] - Test: [ 0/7] Time: 1.291 (1.291) Loss: 0.3845 (0.3845) cLoss: 0.0000 (0.0000) Acc@1: 91.6667 (91.6667)Acc@5: 97.5000 (97.5000) + +2023-08-09 19:33:15,466 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.432) Loss: 0.7404 (0.3475) cLoss: 0.0000 (0.0000) Acc@1: 83.3333 (91.7241)Acc@5: 93.3333 (97.5862) + +2023-08-09 19:33:17,951 - train: [ INFO] - Train: 292 [ 0/65 ( 0%)] Loss: 0.012813 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.144s, 55.96/s LR: 1.101e-05 P_Replacement: 0.9221143703703705 + +2023-08-09 19:33:59,672 - train: [ INFO] - Train: 292 [ 50/65 ( 78%)] Loss: 0.013200 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.860s, 139.53/s LR: 1.101e-05 P_Replacement: 0.9294211064920178 + +2023-08-09 19:34:11,762 - train: [ INFO] - Train: 292 [ 64/65 (100%)] Loss: 0.010937 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.861s, 139.41/s LR: 1.101e-05 P_Replacement: 0.9314738869076014 + +2023-08-09 19:34:13,182 - train: [ INFO] - Test: [ 0/7] Time: 1.199 (1.199) Loss: 0.3938 (0.3938) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 96.6667 (96.6667) + +2023-08-09 19:34:15,575 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.449) Loss: 0.2012 (0.3469) cLoss: 0.0000 (0.0000) Acc@1: 96.6667 (91.4943)Acc@5: 100.0000 (97.7012) + +2023-08-09 19:34:17,907 - train: [ INFO] - Train: 293 [ 0/65 ( 0%)] Loss: 0.011347 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.837s, 65.32/s LR: 1.077e-05 P_Replacement: 0.9316206296296297 + +2023-08-09 19:34:58,010 - train: [ INFO] - Train: 293 [ 50/65 ( 78%)] Loss: 0.011048 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.822s, 145.93/s LR: 1.077e-05 P_Replacement: 0.9389774314974966 + +2023-08-09 19:35:09,228 - train: [ INFO] - Train: 293 [ 64/65 (100%)] Loss: 0.011549 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.818s, 146.75/s LR: 1.077e-05 P_Replacement: 0.9410442538854668 + +2023-08-09 19:35:10,742 - train: [ INFO] - Test: [ 0/7] Time: 1.174 (1.174) Loss: 0.2599 (0.2599) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:35:12,869 - train: [ INFO] - Test: [ 7/7] Time: 0.082 (0.413) Loss: 0.1988 (0.3576) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.3793)Acc@5: 100.0000 (97.3563) + +2023-08-09 19:35:16,168 - train: [ INFO] - Train: 294 [ 0/65 ( 0%)] Loss: 0.012573 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.737s, 43.84/s LR: 1.057e-05 P_Replacement: 0.9411919999999999 + +2023-08-09 19:35:57,843 - train: [ INFO] - Train: 294 [ 50/65 ( 78%)] Loss: 0.011540 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.871s, 137.81/s LR: 1.057e-05 P_Replacement: 0.9485990385542574 + +2023-08-09 19:36:08,123 - train: [ INFO] - Train: 294 [ 64/65 (100%)] Loss: 0.010851 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.841s, 142.63/s LR: 1.057e-05 P_Replacement: 0.950679950777862 + +2023-08-09 19:36:09,730 - train: [ INFO] - Test: [ 0/7] Time: 1.331 (1.331) Loss: 0.3206 (0.3206) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:36:11,770 - train: [ INFO] - Test: [ 7/7] Time: 0.127 (0.421) Loss: 0.1227 (0.3506) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.2644)Acc@5: 100.0000 (97.7012) + +2023-08-09 19:36:14,072 - train: [ INFO] - Train: 295 [ 0/65 ( 0%)] Loss: 0.011616 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.898s, 63.21/s LR: 1.039e-05 P_Replacement: 0.9508287037037035 + +2023-08-09 19:36:58,011 - train: [ INFO] - Train: 295 [ 50/65 ( 78%)] Loss: 0.010279 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.899s, 133.53/s LR: 1.039e-05 P_Replacement: 0.9582861498845228 + +2023-08-09 19:37:09,423 - train: [ INFO] - Train: 295 [ 64/65 (100%)] Loss: 0.010521 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.881s, 136.26/s LR: 1.039e-05 P_Replacement: 0.9603811998070094 + +2023-08-09 19:37:10,716 - train: [ INFO] - Test: [ 0/7] Time: 1.040 (1.040) Loss: 0.4605 (0.4605) cLoss: 0.0000 (0.0000) Acc@1: 90.8333 (90.8333)Acc@5: 99.1667 (99.1667) + +2023-08-09 19:37:12,824 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.393) Loss: 0.4368 (0.3393) cLoss: 0.0000 (0.0000) Acc@1: 86.6667 (91.9540)Acc@5: 93.3333 (97.8161) + +2023-08-09 19:37:15,325 - train: [ INFO] - Train: 296 [ 0/65 ( 0%)] Loss: 0.011822 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.006s, 59.83/s LR: 1.025e-05 P_Replacement: 0.960530962962963 + +2023-08-09 19:37:56,892 - train: [ INFO] - Train: 296 [ 50/65 ( 78%)] Loss: 0.011141 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.854s, 140.49/s LR: 1.025e-05 P_Replacement: 0.9680389877105143 + +2023-08-09 19:38:08,240 - train: [ INFO] - Train: 296 [ 64/65 (100%)] Loss: 0.010943 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.845s, 142.05/s LR: 1.025e-05 P_Replacement: 0.9701482231951315 + +2023-08-09 19:38:09,591 - train: [ INFO] - Test: [ 0/7] Time: 1.095 (1.095) Loss: 0.3281 (0.3281) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (93.3333)Acc@5: 99.1667 (99.1667) + +2023-08-09 19:38:11,573 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.385) Loss: 0.1567 (0.3335) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (92.4138)Acc@5: 100.0000 (97.4713) + +2023-08-09 19:38:13,976 - train: [ INFO] - Train: 297 [ 0/65 ( 0%)] Loss: 0.011879 (0.0119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.036s, 58.93/s LR: 1.014e-05 P_Replacement: 0.970299 + +2023-08-09 19:38:52,910 - train: [ INFO] - Train: 297 [ 50/65 ( 78%)] Loss: 0.012641 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.803s, 149.39/s LR: 1.014e-05 P_Replacement: 0.9778577742544546 + +2023-08-09 19:39:05,155 - train: [ INFO] - Train: 297 [ 64/65 (100%)] Loss: 0.008249 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.819s, 146.59/s LR: 1.014e-05 P_Replacement: 0.9799812431644498 + +2023-08-09 19:39:06,807 - train: [ INFO] - Test: [ 0/7] Time: 1.323 (1.323) Loss: 0.3230 (0.3230) cLoss: 0.0000 (0.0000) Acc@1: 88.3333 (88.3333)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:39:08,553 - train: [ INFO] - Test: [ 7/7] Time: 0.061 (0.384) Loss: 0.2361 (0.3606) cLoss: 0.0000 (0.0000) Acc@1: 93.3333 (91.6092)Acc@5: 96.6667 (97.4713) + +2023-08-09 19:39:10,941 - train: [ INFO] - Train: 298 [ 0/65 ( 0%)] Loss: 0.010688 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.952s, 61.48/s LR: 1.006e-05 P_Replacement: 0.9801330370370369 + +2023-08-09 19:39:51,096 - train: [ INFO] - Train: 298 [ 50/65 ( 78%)] Loss: 0.010874 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.826s, 145.35/s LR: 1.006e-05 P_Replacement: 0.9877427317385659 + +2023-08-09 19:40:02,952 - train: [ INFO] - Train: 298 [ 64/65 (100%)] Loss: 0.010508 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.830s, 144.56/s LR: 1.006e-05 P_Replacement: 0.9898804819371869 + +2023-08-09 19:40:04,465 - train: [ INFO] - Test: [ 0/7] Time: 1.271 (1.271) Loss: 0.2968 (0.2968) cLoss: 0.0000 (0.0000) Acc@1: 92.5000 (92.5000)Acc@5: 97.5000 (97.5000) + +2023-08-09 19:40:06,630 - train: [ INFO] - Test: [ 7/7] Time: 0.069 (0.430) Loss: 0.4845 (0.3582) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (91.6092)Acc@5: 96.6667 (97.4713) + +2023-08-09 19:40:09,100 - train: [ INFO] - Train: 299 [ 0/65 ( 0%)] Loss: 0.010334 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 2.094s, 57.29/s LR: 1.002e-05 P_Replacement: 0.9900332962962964 + +2023-08-09 19:40:50,320 - train: [ INFO] - Train: 299 [ 50/65 ( 78%)] Loss: 0.010576 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.849s, 141.31/s LR: 1.002e-05 P_Replacement: 0.9976940823850706 + +2023-08-09 19:41:00,734 - train: [ INFO] - Train: 299 [ 64/65 (100%)] Loss: 0.007678 (0.0091) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.826s, 145.20/s LR: 1.002e-05 P_Replacement: 0.9998461617355654 + +2023-08-09 19:41:02,260 - train: [ INFO] - Test: [ 0/7] Time: 1.285 (1.285) Loss: 0.3516 (0.3516) cLoss: 0.0000 (0.0000) Acc@1: 90.0000 (90.0000)Acc@5: 98.3333 (98.3333) + +2023-08-09 19:41:04,378 - train: [ INFO] - Test: [ 7/7] Time: 0.062 (0.425) Loss: 0.0464 (0.3585) cLoss: 0.0000 (0.0000) Acc@1: 100.0000 (91.6092)Acc@5: 100.0000 (97.5862) + +2023-08-09 19:41:04,771 - train: [ INFO] - *** Best metric: 92.64368359795932 (epoch 282) \ No newline at end of file diff --git a/Transfer_VGG_SNN-NCALTECH101-10-bs_120-seed_42-DA_False-ls_0.0-domainLoss_True_coefficient0.5-traindataratio_1.0-rgbdataratio_1.0-TET_loss_True-hsv_True-sl_True-regularization_True/model_best.pth.tar 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b/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/args.yaml @@ -0,0 +1,142 @@ +DVS_DA: false +TET_loss_first: true +TET_loss_second: true +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptive_node: false +amp: false +apex_amp: false +aug_splits: 0 +batch_size: 120 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cut_mix: false +cutmix: 1.0 +cutmix_beta: 1.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +dataset: NCALTECH101 +decay_epochs: 30 +decay_rate: 0.1 +device: 4 +dist_bn: '' +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +encode: direct +epochs: 300 +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: '' +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: 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 +min_lr: 1.0e-05 +mix_up: false +mixup: 0.8 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 1.0 +mixup_switch_prob: 0.5 +model: VGG_SNN +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_groups: 1 +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +node_resume: '' +node_trainable: false +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 101 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: /home/hexiang/DomainAdaptation_DVS/Results/ +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +reconstructed: false +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 +sigmoid_thres: false +smoothing: 0.0 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 10 +suffix: '' +sync_bn: false +tau: 2.0 +temporal_flatten: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.9 +traindata_ratio: 1.0 +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: 0.01 +workers: 8 diff --git a/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/log.txt b/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..0adcea612ba6379a02e13741fa88b3d5a88dd1fe --- /dev/null +++ b/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/log.txt @@ -0,0 +1,2214 @@ +2023-08-03 00:23:19,363 - train: [ INFO] - Training with a single process on 1 GPUs. +2023-08-03 00:23:19,457 - train: [ INFO] - learning rate is 0.000586 +2023-08-03 00:23:19,458 - train: [ INFO] - Model VGG_SNN created, param count: 9688181 +2023-08-03 00:23:22,233 - train: [ INFO] - AMP not enabled. Training in float32. +2023-08-03 00:23:22,234 - train: [ INFO] - Scheduled epochs: 310 +2023-08-03 00:23:27,949 - train: [ INFO] - Train: 0 [ 0/65 (100%)] Loss: 4.625246 (4.6252) Acc@1: 0.8333 ( 0.8333) Acc@5: 2.5000 ( 2.5000) Time: 5.672s, 21.16/s (5.672s, 21.16/s) LR: 1.000e-06 +2023-08-03 00:23:44,833 - train: [ INFO] - Train: 0 [ 50/65 (100%)] Loss: 4.613574 (4.6206) Acc@1: 0.8333 ( 1.5033) Acc@5: 5.8333 ( 5.7190) Time: 0.341s, 351.87/s (0.442s, 271.33/s) LR: 1.000e-06 +2023-08-03 00:23:49,605 - train: [ INFO] - Train: 0 [ 64/65 (100%)] Loss: 4.601516 (4.6182) Acc@1: 1.6667 ( 1.5128) Acc@5: 3.3333 ( 5.9359) Time: 0.344s, 349.11/s (0.420s, 285.44/s) LR: 1.000e-06 +2023-08-03 00:23:50,506 - train: [ INFO] - Test: [ 0/7] Time: 0.820 (0.820) Loss: 4.6179 (4.6179) Acc@1: 1.6667 ( 1.6667)Acc@5: 5.0000 ( 5.0000) + +2023-08-03 00:23:52,098 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.302) Loss: 4.5915 (4.6157) Acc@1: 3.3333 ( 1.7241)Acc@5: 3.3333 ( 4.8276) + +2023-08-03 00:23:52,338 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-0.pth.tar', 1.724138046133107) + +2023-08-03 00:23:53,860 - train: [ INFO] - Train: 1 [ 0/65 (100%)] Loss: 4.593516 (4.5935) Acc@1: 4.1667 ( 4.1667) Acc@5: 10.0000 (10.0000) Time: 1.521s, 78.89/s (1.521s, 78.89/s) LR: 1.180e-04 +2023-08-03 00:24:10,846 - train: [ INFO] - Train: 1 [ 50/65 (100%)] Loss: 3.932914 (4.2246) Acc@1: 16.6667 (10.0817) Acc@5: 38.3333 (26.6176) Time: 0.347s, 345.40/s (0.363s, 330.71/s) LR: 1.180e-04 +2023-08-03 00:24:15,568 - train: [ INFO] - Train: 1 [ 64/65 (100%)] Loss: 3.840788 (4.1283) Acc@1: 18.3333 (11.7821) Acc@5: 39.1667 (29.9872) Time: 0.339s, 354.14/s (0.357s, 335.83/s) LR: 1.180e-04 +2023-08-03 00:24:16,570 - train: [ INFO] - Test: [ 0/7] Time: 0.838 (0.838) Loss: 3.8826 (3.8826) Acc@1: 19.1667 (19.1667)Acc@5: 45.8333 (45.8333) + +2023-08-03 00:24:18,163 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.304) Loss: 3.5463 (3.8003) Acc@1: 30.0000 (24.3678)Acc@5: 60.0000 (43.7931) + +2023-08-03 00:24:18,426 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-1.pth.tar', 24.367817648525897) + +2023-08-03 00:24:20,009 - train: [ INFO] - Train: 2 [ 0/65 (100%)] Loss: 3.626588 (3.6266) Acc@1: 25.8333 (25.8333) Acc@5: 43.3333 (43.3333) Time: 1.566s, 76.62/s (1.566s, 76.62/s) LR: 2.350e-04 +2023-08-03 00:24:36,989 - train: [ INFO] - Train: 2 [ 50/65 (100%)] Loss: 3.076660 (3.3506) Acc@1: 32.5000 (26.7157) Acc@5: 60.8333 (51.5033) Time: 0.342s, 350.47/s (0.364s, 330.02/s) LR: 2.350e-04 +2023-08-03 00:24:41,763 - train: [ INFO] - Train: 2 [ 64/65 (100%)] Loss: 2.929823 (3.2652) Acc@1: 38.3333 (28.5769) Acc@5: 57.5000 (53.7949) Time: 0.345s, 347.99/s (0.359s, 334.51/s) LR: 2.350e-04 +2023-08-03 00:24:42,747 - train: [ INFO] - Test: [ 0/7] Time: 0.833 (0.833) Loss: 3.2006 (3.2006) Acc@1: 32.5000 (32.5000)Acc@5: 52.5000 (52.5000) + +2023-08-03 00:24:44,377 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.308) Loss: 3.1361 (3.1574) Acc@1: 30.0000 (31.6092)Acc@5: 60.0000 (55.6322) + +2023-08-03 00:24:44,621 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-2.pth.tar', 31.609196695788153) + +2023-08-03 00:24:46,149 - train: [ INFO] - Train: 3 [ 0/65 (100%)] Loss: 3.126443 (3.1264) Acc@1: 26.6667 (26.6667) Acc@5: 57.5000 (57.5000) Time: 1.516s, 79.15/s (1.516s, 79.15/s) LR: 3.520e-04 +2023-08-03 00:25:03,126 - train: [ INFO] - Train: 3 [ 50/65 (100%)] Loss: 2.383490 (2.6220) Acc@1: 45.0000 (42.4837) Acc@5: 75.8333 (69.0196) Time: 0.337s, 356.36/s (0.363s, 330.97/s) LR: 3.520e-04 +2023-08-03 00:25:07,902 - train: [ INFO] - Train: 3 [ 64/65 (100%)] Loss: 2.070256 (2.5435) Acc@1: 52.5000 (44.3462) Acc@5: 81.6667 (70.5128) Time: 0.341s, 351.97/s (0.358s, 335.26/s) LR: 3.520e-04 +2023-08-03 00:25:08,903 - train: [ INFO] - Test: [ 0/7] Time: 0.818 (0.818) Loss: 2.3055 (2.3055) Acc@1: 45.0000 (45.0000)Acc@5: 76.6667 (76.6667) + +2023-08-03 00:25:10,437 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.294) Loss: 2.5748 (2.4404) Acc@1: 43.3333 (43.2184)Acc@5: 56.6667 (67.7012) + +2023-08-03 00:25:10,709 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-3.pth.tar', 43.21839404928273) + +2023-08-03 00:25:12,203 - train: [ INFO] - Train: 4 [ 0/65 (100%)] Loss: 2.188951 (2.1890) Acc@1: 52.5000 (52.5000) Acc@5: 80.0000 (80.0000) Time: 1.478s, 81.20/s (1.478s, 81.20/s) LR: 4.689e-04 +2023-08-03 00:25:29,259 - train: [ INFO] - Train: 4 [ 50/65 (100%)] Loss: 1.995236 (2.1055) Acc@1: 57.5000 (54.2157) Acc@5: 85.0000 (79.3791) Time: 0.340s, 352.45/s (0.363s, 330.24/s) LR: 4.689e-04 +2023-08-03 00:25:33,990 - train: [ INFO] - Train: 4 [ 64/65 (100%)] Loss: 1.826731 (2.0695) Acc@1: 64.1667 (55.1282) Acc@5: 81.6667 (79.8846) Time: 0.342s, 351.35/s (0.358s, 335.31/s) LR: 4.689e-04 +2023-08-03 00:25:34,993 - train: [ INFO] - Test: [ 0/7] Time: 0.846 (0.846) Loss: 2.3108 (2.3108) Acc@1: 41.6667 (41.6667)Acc@5: 66.6667 (66.6667) + +2023-08-03 00:25:36,558 - train: [ INFO] - Test: [ 7/7] Time: 0.036 (0.301) Loss: 2.0596 (2.1616) Acc@1: 50.0000 (47.0115)Acc@5: 80.0000 (71.2644) + +2023-08-03 00:25:36,820 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-4.pth.tar', 47.01149683985217) + +2023-08-03 00:25:38,383 - train: [ INFO] - Train: 5 [ 0/65 (100%)] Loss: 1.881535 (1.8815) Acc@1: 60.0000 (60.0000) Acc@5: 85.0000 (85.0000) Time: 1.546s, 77.63/s (1.546s, 77.63/s) LR: 5.855e-04 +2023-08-03 00:25:55,366 - train: [ INFO] - Train: 5 [ 50/65 (100%)] Loss: 1.756022 (1.7524) Acc@1: 60.8333 (62.4673) Acc@5: 85.0000 (85.6209) Time: 0.342s, 351.01/s (0.363s, 330.33/s) LR: 5.855e-04 +2023-08-03 00:26:00,100 - train: [ INFO] - Train: 5 [ 64/65 (100%)] Loss: 1.758129 (1.6986) Acc@1: 63.3333 (64.0385) Acc@5: 82.5000 (86.4744) Time: 0.342s, 351.31/s (0.358s, 335.34/s) LR: 5.855e-04 +2023-08-03 00:26:01,073 - train: [ INFO] - Test: [ 0/7] Time: 0.826 (0.826) Loss: 1.8295 (1.8295) Acc@1: 48.3333 (48.3333)Acc@5: 79.1667 (79.1667) + +2023-08-03 00:26:02,666 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.302) Loss: 2.2407 (1.9036) Acc@1: 46.6667 (50.8046)Acc@5: 66.6667 (76.5517) + +2023-08-03 00:26:02,935 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-5.pth.tar', 50.8046005512106) + +2023-08-03 00:26:04,417 - train: [ INFO] - Train: 6 [ 0/65 (100%)] Loss: 1.294861 (1.2949) Acc@1: 76.6667 (76.6667) Acc@5: 94.1667 (94.1667) Time: 1.468s, 81.76/s (1.468s, 81.76/s) LR: 5.854e-04 +2023-08-03 00:26:21,322 - train: [ INFO] - Train: 6 [ 50/65 (100%)] Loss: 1.240999 (1.3599) Acc@1: 77.5000 (73.0719) Acc@5: 90.8333 (91.3889) Time: 0.338s, 355.39/s (0.360s, 333.13/s) LR: 5.854e-04 +2023-08-03 00:26:26,075 - train: [ INFO] - Train: 6 [ 64/65 (100%)] Loss: 1.340246 (1.3308) Acc@1: 75.8333 (73.6539) Acc@5: 91.6667 (91.6923) Time: 0.340s, 353.41/s (0.356s, 337.31/s) LR: 5.854e-04 +2023-08-03 00:26:27,037 - train: [ INFO] - Test: [ 0/7] Time: 0.811 (0.811) Loss: 2.1257 (2.1257) Acc@1: 46.6667 (46.6667)Acc@5: 65.8333 (65.8333) + +2023-08-03 00:26:28,648 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.303) Loss: 2.0678 (2.0383) Acc@1: 56.6667 (48.7356)Acc@5: 66.6667 (72.1839) + +2023-08-03 00:26:30,371 - train: [ INFO] - Train: 7 [ 0/65 (100%)] Loss: 1.158106 (1.1581) Acc@1: 77.5000 (77.5000) Acc@5: 94.1667 (94.1667) Time: 1.476s, 81.29/s (1.476s, 81.29/s) LR: 5.852e-04 +2023-08-03 00:26:47,444 - train: [ INFO] - Train: 7 [ 50/65 (100%)] Loss: 1.237325 (1.1408) Acc@1: 73.3333 (78.6928) Acc@5: 95.8333 (94.1340) Time: 0.343s, 349.84/s (0.364s, 329.96/s) LR: 5.852e-04 +2023-08-03 00:26:52,189 - train: [ INFO] - Train: 7 [ 64/65 (100%)] Loss: 1.080994 (1.1218) Acc@1: 78.3333 (79.1410) Acc@5: 95.0000 (94.3462) Time: 0.340s, 353.26/s (0.358s, 334.88/s) LR: 5.852e-04 +2023-08-03 00:26:53,179 - train: [ INFO] - Test: [ 0/7] Time: 0.823 (0.823) Loss: 1.9446 (1.9446) Acc@1: 49.1667 (49.1667)Acc@5: 74.1667 (74.1667) + +2023-08-03 00:26:54,710 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.294) Loss: 1.6035 (1.8666) Acc@1: 56.6667 (54.1379)Acc@5: 86.6667 (76.7816) + +2023-08-03 00:26:54,985 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-7.pth.tar', 54.137933533767175) + +2023-08-03 00:26:56,472 - train: [ INFO] - Train: 8 [ 0/65 (100%)] Loss: 1.032761 (1.0328) Acc@1: 84.1667 (84.1667) Acc@5: 94.1667 (94.1667) Time: 1.474s, 81.41/s (1.474s, 81.41/s) LR: 5.849e-04 +2023-08-03 00:27:13,498 - train: [ INFO] - Train: 8 [ 50/65 (100%)] Loss: 0.826344 (0.9355) Acc@1: 85.8333 (83.8399) Acc@5: 98.3333 (96.2418) Time: 0.339s, 354.42/s (0.363s, 330.84/s) LR: 5.849e-04 +2023-08-03 00:27:18,293 - train: [ INFO] - Train: 8 [ 64/65 (100%)] Loss: 0.791046 (0.9329) Acc@1: 88.3333 (83.8590) Acc@5: 96.6667 (96.1282) Time: 0.344s, 348.66/s (0.358s, 334.88/s) LR: 5.849e-04 +2023-08-03 00:27:19,251 - train: [ INFO] - Test: [ 0/7] Time: 0.821 (0.821) Loss: 1.4980 (1.4980) Acc@1: 64.1667 (64.1667)Acc@5: 82.5000 (82.5000) + +2023-08-03 00:27:20,822 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.299) Loss: 1.9719 (1.8179) Acc@1: 56.6667 (56.0920)Acc@5: 73.3333 (75.6322) + +2023-08-03 00:27:21,117 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-8.pth.tar', 56.0919566976613) + +2023-08-03 00:27:22,648 - train: [ INFO] - Train: 9 [ 0/65 (100%)] Loss: 0.843584 (0.8436) Acc@1: 88.3333 (88.3333) Acc@5: 96.6667 (96.6667) Time: 1.514s, 79.25/s (1.514s, 79.25/s) LR: 5.847e-04 +2023-08-03 00:27:39,629 - train: [ INFO] - Train: 9 [ 50/65 (100%)] Loss: 0.935153 (0.8108) Acc@1: 85.0000 (86.9608) Acc@5: 92.5000 (97.1242) Time: 0.341s, 351.65/s (0.363s, 330.92/s) LR: 5.847e-04 +2023-08-03 00:27:44,419 - train: [ INFO] - Train: 9 [ 64/65 (100%)] Loss: 0.818513 (0.8013) Acc@1: 87.5000 (87.0385) Acc@5: 95.8333 (97.2051) Time: 0.341s, 352.19/s (0.358s, 335.02/s) LR: 5.847e-04 +2023-08-03 00:27:45,386 - train: [ INFO] - Test: [ 0/7] Time: 0.818 (0.818) Loss: 1.5890 (1.5890) Acc@1: 62.5000 (62.5000)Acc@5: 80.0000 (80.0000) + +2023-08-03 00:27:46,909 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.293) Loss: 0.9836 (1.4459) Acc@1: 76.6667 (63.6782)Acc@5: 86.6667 (82.6437) + +2023-08-03 00:27:47,152 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-9.pth.tar', 63.67816425191945) + +2023-08-03 00:27:48,672 - train: [ INFO] - Train: 10 [ 0/65 (100%)] Loss: 0.664812 (0.6648) Acc@1: 90.8333 (90.8333) Acc@5: 100.0000 (100.0000) Time: 1.501s, 79.93/s (1.501s, 79.93/s) LR: 5.844e-04 +2023-08-03 00:28:05,728 - train: [ INFO] - Train: 10 [ 50/65 (100%)] Loss: 0.613849 (0.6743) Acc@1: 93.3333 (90.4739) Acc@5: 99.1667 (98.0556) Time: 0.337s, 355.65/s (0.364s, 329.82/s) LR: 5.844e-04 +2023-08-03 00:28:10,479 - train: [ INFO] - Train: 10 [ 64/65 (100%)] Loss: 0.616840 (0.6618) Acc@1: 87.5000 (90.5385) Acc@5: 98.3333 (98.2180) Time: 0.343s, 350.19/s (0.359s, 334.69/s) LR: 5.844e-04 +2023-08-03 00:28:11,486 - train: [ INFO] - Test: [ 0/7] Time: 0.836 (0.836) Loss: 1.5354 (1.5354) Acc@1: 57.5000 (57.5000)Acc@5: 84.1667 (84.1667) + +2023-08-03 00:28:13,083 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.304) Loss: 1.2895 (1.3204) Acc@1: 73.3333 (65.6322)Acc@5: 80.0000 (85.6322) + +2023-08-03 00:28:13,360 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-10.pth.tar', 65.63218767889614) + +2023-08-03 00:28:14,848 - train: [ INFO] - Train: 11 [ 0/65 (100%)] Loss: 0.590068 (0.5901) Acc@1: 91.6667 (91.6667) Acc@5: 98.3333 (98.3333) Time: 1.474s, 81.41/s (1.474s, 81.41/s) LR: 5.840e-04 +2023-08-03 00:28:31,893 - train: [ INFO] - Train: 11 [ 50/65 (100%)] Loss: 0.539167 (0.5695) Acc@1: 92.5000 (92.1242) Acc@5: 98.3333 (98.6601) Time: 0.339s, 354.22/s (0.363s, 330.49/s) LR: 5.840e-04 +2023-08-03 00:28:36,667 - train: [ INFO] - Train: 11 [ 64/65 (100%)] Loss: 0.450943 (0.5547) Acc@1: 94.1667 (92.4359) Acc@5: 100.0000 (98.7436) Time: 0.341s, 351.54/s (0.358s, 334.89/s) LR: 5.840e-04 +2023-08-03 00:28:37,612 - train: [ INFO] - Test: [ 0/7] Time: 0.827 (0.827) Loss: 1.4309 (1.4309) Acc@1: 64.1667 (64.1667)Acc@5: 84.1667 (84.1667) + +2023-08-03 00:28:39,215 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.304) Loss: 0.8996 (1.3159) Acc@1: 73.3333 (66.4368)Acc@5: 86.6667 (85.5172) + +2023-08-03 00:28:39,467 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-11.pth.tar', 66.43678415232691) + +2023-08-03 00:28:41,056 - train: [ INFO] - Train: 12 [ 0/65 (100%)] Loss: 0.587689 (0.5877) Acc@1: 89.1667 (89.1667) Acc@5: 98.3333 (98.3333) Time: 1.572s, 76.32/s (1.572s, 76.32/s) LR: 5.837e-04 +2023-08-03 00:28:57,990 - train: [ INFO] - Train: 12 [ 50/65 (100%)] Loss: 0.413335 (0.4537) Acc@1: 95.0000 (94.7222) Acc@5: 100.0000 (99.2157) Time: 0.342s, 351.14/s (0.363s, 330.73/s) LR: 5.837e-04 +2023-08-03 00:29:02,761 - train: [ INFO] - Train: 12 [ 64/65 (100%)] Loss: 0.457953 (0.4538) Acc@1: 95.8333 (94.6923) Acc@5: 99.1667 (99.2308) Time: 0.335s, 357.88/s (0.358s, 335.12/s) LR: 5.837e-04 +2023-08-03 00:29:03,754 - train: [ INFO] - Test: [ 0/7] Time: 0.823 (0.823) Loss: 1.2843 (1.2843) Acc@1: 68.3333 (68.3333)Acc@5: 84.1667 (84.1667) + +2023-08-03 00:29:05,353 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.303) Loss: 1.2748 (1.2845) Acc@1: 60.0000 (66.5517)Acc@5: 93.3333 (86.2069) + +2023-08-03 00:29:05,614 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-12.pth.tar', 66.55172637413288) + +2023-08-03 00:29:07,140 - train: [ INFO] - Train: 13 [ 0/65 (100%)] Loss: 0.493853 (0.4939) Acc@1: 94.1667 (94.1667) Acc@5: 99.1667 (99.1667) Time: 1.512s, 79.35/s (1.512s, 79.35/s) LR: 5.833e-04 +2023-08-03 00:29:24,166 - train: [ INFO] - Train: 13 [ 50/65 (100%)] Loss: 0.391610 (0.4408) Acc@1: 95.0000 (94.8203) Acc@5: 99.1667 (99.3791) Time: 0.338s, 354.66/s (0.363s, 330.16/s) LR: 5.833e-04 +2023-08-03 00:29:28,924 - train: [ INFO] - Train: 13 [ 64/65 (100%)] Loss: 0.278409 (0.4241) Acc@1: 98.3333 (95.1026) Acc@5: 100.0000 (99.4231) Time: 0.343s, 350.00/s (0.358s, 334.86/s) LR: 5.833e-04 +2023-08-03 00:29:29,871 - train: [ INFO] - Test: [ 0/7] Time: 0.793 (0.793) Loss: 0.9710 (0.9710) Acc@1: 75.8333 (75.8333)Acc@5: 88.3333 (88.3333) + +2023-08-03 00:29:31,470 - train: [ INFO] - Test: [ 7/7] Time: 0.038 (0.299) Loss: 1.9243 (1.2032) Acc@1: 50.0000 (69.6552)Acc@5: 70.0000 (86.3218) + +2023-08-03 00:29:31,761 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-13.pth.tar', 69.65517570232522) + +2023-08-03 00:29:33,257 - train: [ INFO] - Train: 14 [ 0/65 (100%)] Loss: 0.411199 (0.4112) Acc@1: 94.1667 (94.1667) Acc@5: 99.1667 (99.1667) Time: 1.480s, 81.08/s (1.480s, 81.08/s) LR: 5.828e-04 +2023-08-03 00:29:50,245 - train: [ INFO] - Train: 14 [ 50/65 (100%)] Loss: 0.264505 (0.3298) Acc@1: 99.1667 (97.0588) Acc@5: 100.0000 (99.6242) Time: 0.342s, 351.29/s (0.362s, 331.42/s) LR: 5.828e-04 +2023-08-03 00:29:55,031 - train: [ INFO] - Train: 14 [ 64/65 (100%)] Loss: 0.351655 (0.3223) Acc@1: 96.6667 (97.1539) Acc@5: 99.1667 (99.6154) Time: 0.342s, 351.12/s (0.358s, 335.46/s) LR: 5.828e-04 +2023-08-03 00:29:56,015 - train: [ INFO] - Test: [ 0/7] Time: 0.813 (0.813) Loss: 1.6309 (1.6309) Acc@1: 59.1667 (59.1667)Acc@5: 80.0000 (80.0000) + +2023-08-03 00:29:57,621 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.303) Loss: 1.3854 (1.3069) Acc@1: 63.3333 (65.8621)Acc@5: 86.6667 (85.7471) + +2023-08-03 00:29:59,270 - train: [ INFO] - Train: 15 [ 0/65 (100%)] Loss: 0.394892 (0.3949) Acc@1: 96.6667 (96.6667) Acc@5: 98.3333 (98.3333) Time: 1.397s, 85.91/s (1.397s, 85.91/s) LR: 5.824e-04 +2023-08-03 00:30:16,253 - train: [ INFO] - Train: 15 [ 50/65 (100%)] Loss: 0.239678 (0.2936) Acc@1: 98.3333 (97.5000) Acc@5: 100.0000 (99.6242) Time: 0.340s, 352.64/s (0.360s, 333.01/s) LR: 5.824e-04 +2023-08-03 00:30:21,024 - train: [ INFO] - Train: 15 [ 64/65 (100%)] Loss: 0.323381 (0.2885) Acc@1: 96.6667 (97.5769) Acc@5: 100.0000 (99.6539) Time: 0.341s, 352.25/s (0.356s, 336.98/s) LR: 5.824e-04 +2023-08-03 00:30:22,011 - train: [ INFO] - Test: [ 0/7] Time: 0.795 (0.795) Loss: 0.9834 (0.9834) Acc@1: 73.3333 (73.3333)Acc@5: 90.8333 (90.8333) + +2023-08-03 00:30:23,621 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.301) Loss: 1.5936 (1.1678) Acc@1: 60.0000 (69.6552)Acc@5: 73.3333 (87.1264) + +2023-08-03 00:30:25,305 - train: [ INFO] - Train: 16 [ 0/65 (100%)] Loss: 0.292460 (0.2925) Acc@1: 97.5000 (97.5000) Acc@5: 99.1667 (99.1667) Time: 1.437s, 83.50/s (1.437s, 83.50/s) LR: 5.819e-04 +2023-08-03 00:30:42,304 - train: [ INFO] - Train: 16 [ 50/65 (100%)] Loss: 0.162476 (0.2275) Acc@1: 99.1667 (98.6438) Acc@5: 100.0000 (99.7876) Time: 0.341s, 351.98/s (0.361s, 332.00/s) LR: 5.819e-04 +2023-08-03 00:30:47,076 - train: [ INFO] - Train: 16 [ 64/65 (100%)] Loss: 0.187201 (0.2212) Acc@1: 99.1667 (98.6795) Acc@5: 100.0000 (99.8077) Time: 0.337s, 356.37/s (0.357s, 336.13/s) LR: 5.819e-04 +2023-08-03 00:30:48,041 - train: [ INFO] - Test: [ 0/7] Time: 0.831 (0.831) Loss: 1.2371 (1.2371) Acc@1: 65.0000 (65.0000)Acc@5: 85.0000 (85.0000) + +2023-08-03 00:30:49,605 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.299) Loss: 0.8617 (1.1947) Acc@1: 90.0000 (69.7701)Acc@5: 96.6667 (87.1264) + +2023-08-03 00:30:49,896 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-16.pth.tar', 69.77011766104863) + +2023-08-03 00:30:51,395 - train: [ INFO] - Train: 17 [ 0/65 (100%)] Loss: 0.149879 (0.1499) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.483s, 80.89/s (1.483s, 80.89/s) LR: 5.814e-04 +2023-08-03 00:31:08,370 - train: [ INFO] - Train: 17 [ 50/65 (100%)] Loss: 0.191010 (0.2123) Acc@1: 100.0000 (98.5131) Acc@5: 100.0000 (99.8366) Time: 0.340s, 353.11/s (0.362s, 331.59/s) LR: 5.814e-04 +2023-08-03 00:31:13,167 - train: [ INFO] - Train: 17 [ 64/65 (100%)] Loss: 0.159701 (0.2075) Acc@1: 99.1667 (98.5897) Acc@5: 100.0000 (99.8590) Time: 0.342s, 350.90/s (0.358s, 335.45/s) LR: 5.814e-04 +2023-08-03 00:31:14,165 - train: [ INFO] - Test: [ 0/7] Time: 0.829 (0.829) Loss: 1.4534 (1.4534) Acc@1: 67.5000 (67.5000)Acc@5: 80.0000 (80.0000) + +2023-08-03 00:31:15,774 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.305) Loss: 1.4025 (1.2652) Acc@1: 63.3333 (68.1609)Acc@5: 86.6667 (86.5517) + +2023-08-03 00:31:17,631 - train: [ INFO] - Train: 18 [ 0/65 (100%)] Loss: 0.197299 (0.1973) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.612s, 74.44/s (1.612s, 74.44/s) LR: 5.808e-04 +2023-08-03 00:31:34,581 - train: [ INFO] - Train: 18 [ 50/65 (100%)] Loss: 0.144882 (0.1768) Acc@1: 99.1667 (99.0523) Acc@5: 100.0000 (99.8856) Time: 0.339s, 354.21/s (0.364s, 329.72/s) LR: 5.808e-04 +2023-08-03 00:31:39,346 - train: [ INFO] - Train: 18 [ 64/65 (100%)] Loss: 0.179172 (0.1746) Acc@1: 97.5000 (99.0000) Acc@5: 100.0000 (99.8974) Time: 0.338s, 355.25/s (0.359s, 334.41/s) LR: 5.808e-04 +2023-08-03 00:31:40,323 - train: [ INFO] - Test: [ 0/7] Time: 0.805 (0.805) Loss: 1.0067 (1.0067) Acc@1: 71.6667 (71.6667)Acc@5: 89.1667 (89.1667) + +2023-08-03 00:31:41,888 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.296) Loss: 1.3203 (1.2255) Acc@1: 60.0000 (70.3448)Acc@5: 86.6667 (87.0115) + +2023-08-03 00:31:42,173 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-18.pth.tar', 70.34483087473902) + +2023-08-03 00:31:43,740 - train: [ INFO] - Train: 19 [ 0/65 (100%)] Loss: 0.210919 (0.2109) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.542s, 77.83/s (1.542s, 77.83/s) LR: 5.803e-04 +2023-08-03 00:32:00,755 - train: [ INFO] - Train: 19 [ 50/65 (100%)] Loss: 0.168370 (0.1560) Acc@1: 100.0000 (99.1013) Acc@5: 100.0000 (99.8856) Time: 0.335s, 358.49/s (0.364s, 329.84/s) LR: 5.803e-04 +2023-08-03 00:32:05,522 - train: [ INFO] - Train: 19 [ 64/65 (100%)] Loss: 0.128629 (0.1534) Acc@1: 100.0000 (99.1923) Acc@5: 100.0000 (99.9103) Time: 0.340s, 352.65/s (0.359s, 334.46/s) LR: 5.803e-04 +2023-08-03 00:32:06,467 - train: [ INFO] - Test: [ 0/7] Time: 0.765 (0.765) Loss: 1.1356 (1.1356) Acc@1: 72.5000 (72.5000)Acc@5: 88.3333 (88.3333) + +2023-08-03 00:32:08,060 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.295) Loss: 0.5716 (1.1457) Acc@1: 80.0000 (71.4943)Acc@5: 100.0000 (89.0805) + +2023-08-03 00:32:08,300 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-19.pth.tar', 71.49425664441338) + +2023-08-03 00:32:09,705 - train: [ INFO] - Train: 20 [ 0/65 (100%)] Loss: 0.151935 (0.1519) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 1.386s, 86.55/s (1.386s, 86.55/s) LR: 5.796e-04 +2023-08-03 00:32:26,724 - train: [ INFO] - Train: 20 [ 50/65 (100%)] Loss: 0.106875 (0.1425) Acc@1: 100.0000 (99.3791) Acc@5: 100.0000 (99.9346) Time: 0.342s, 351.14/s (0.361s, 332.55/s) LR: 5.796e-04 +2023-08-03 00:32:31,499 - train: [ INFO] - Train: 20 [ 64/65 (100%)] Loss: 0.104437 (0.1391) Acc@1: 100.0000 (99.3590) Acc@5: 100.0000 (99.9231) Time: 0.339s, 353.59/s (0.357s, 336.55/s) LR: 5.796e-04 +2023-08-03 00:32:32,527 - train: [ INFO] - Test: [ 0/7] Time: 0.830 (0.830) Loss: 1.2029 (1.2029) Acc@1: 70.8333 (70.8333)Acc@5: 90.0000 (90.0000) + +2023-08-03 00:32:34,131 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.304) Loss: 0.8438 (1.2575) Acc@1: 73.3333 (68.3908)Acc@5: 93.3333 (88.1609) + +2023-08-03 00:32:35,766 - train: [ INFO] - Train: 21 [ 0/65 (100%)] Loss: 0.130456 (0.1305) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.380s, 86.95/s (1.380s, 86.95/s) LR: 5.790e-04 +2023-08-03 00:32:52,763 - train: [ INFO] - Train: 21 [ 50/65 (100%)] Loss: 0.120499 (0.1136) Acc@1: 98.3333 (99.4445) Acc@5: 100.0000 (99.9346) Time: 0.337s, 355.93/s (0.360s, 333.07/s) LR: 5.790e-04 +2023-08-03 00:32:57,519 - train: [ INFO] - Train: 21 [ 64/65 (100%)] Loss: 0.083791 (0.1125) Acc@1: 100.0000 (99.4615) Acc@5: 100.0000 (99.9359) Time: 0.337s, 355.84/s (0.356s, 337.23/s) LR: 5.790e-04 +2023-08-03 00:32:58,462 - train: [ INFO] - Test: [ 0/7] Time: 0.802 (0.802) Loss: 1.0390 (1.0390) Acc@1: 70.8333 (70.8333)Acc@5: 92.5000 (92.5000) + +2023-08-03 00:33:00,087 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.303) Loss: 1.3374 (1.1947) Acc@1: 70.0000 (68.7356)Acc@5: 86.6667 (88.1609) + +2023-08-03 00:33:01,877 - train: [ INFO] - Train: 22 [ 0/65 (100%)] Loss: 0.123279 (0.1233) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.507s, 79.63/s (1.507s, 79.63/s) LR: 5.783e-04 +2023-08-03 00:33:18,906 - train: [ INFO] - Train: 22 [ 50/65 (100%)] Loss: 0.099822 (0.1060) Acc@1: 100.0000 (99.4608) Acc@5: 100.0000 (99.9837) Time: 0.337s, 355.57/s (0.363s, 330.21/s) LR: 5.783e-04 +2023-08-03 00:33:23,684 - train: [ INFO] - Train: 22 [ 64/65 (100%)] Loss: 0.099725 (0.1071) Acc@1: 100.0000 (99.4487) Acc@5: 100.0000 (99.9744) Time: 0.338s, 355.51/s (0.359s, 334.61/s) LR: 5.783e-04 +2023-08-03 00:33:24,631 - train: [ INFO] - Test: [ 0/7] Time: 0.787 (0.787) Loss: 1.3018 (1.3018) Acc@1: 65.8333 (65.8333)Acc@5: 88.3333 (88.3333) + +2023-08-03 00:33:26,229 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 1.8788 (1.2142) Acc@1: 53.3333 (69.3103)Acc@5: 76.6667 (88.3908) + +2023-08-03 00:33:28,034 - train: [ INFO] - Train: 23 [ 0/65 (100%)] Loss: 0.080128 (0.0801) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.512s, 79.39/s (1.512s, 79.39/s) LR: 5.776e-04 +2023-08-03 00:33:45,041 - train: [ INFO] - Train: 23 [ 50/65 (100%)] Loss: 0.081461 (0.0960) Acc@1: 100.0000 (99.7059) Acc@5: 100.0000 (99.9673) Time: 0.344s, 348.86/s (0.363s, 330.52/s) LR: 5.776e-04 +2023-08-03 00:33:49,871 - train: [ INFO] - Train: 23 [ 64/65 (100%)] Loss: 0.057674 (0.0951) Acc@1: 100.0000 (99.6282) Acc@5: 100.0000 (99.9744) Time: 0.342s, 350.74/s (0.359s, 334.11/s) LR: 5.776e-04 +2023-08-03 00:33:50,863 - train: [ INFO] - Test: [ 0/7] Time: 0.802 (0.802) Loss: 1.2441 (1.2441) Acc@1: 70.0000 (70.0000)Acc@5: 90.0000 (90.0000) + +2023-08-03 00:33:52,470 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.301) Loss: 0.7956 (1.1714) Acc@1: 83.3333 (71.1494)Acc@5: 93.3333 (88.2759) + +2023-08-03 00:33:54,276 - train: [ INFO] - Train: 24 [ 0/65 (100%)] Loss: 0.104671 (0.1047) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.509s, 79.55/s (1.509s, 79.55/s) LR: 5.769e-04 +2023-08-03 00:34:11,204 - train: [ INFO] - Train: 24 [ 50/65 (100%)] Loss: 0.067672 (0.0868) Acc@1: 100.0000 (99.5752) Acc@5: 100.0000 (99.9510) Time: 0.339s, 354.11/s (0.361s, 331.99/s) LR: 5.769e-04 +2023-08-03 00:34:16,015 - train: [ INFO] - Train: 24 [ 64/65 (100%)] Loss: 0.080713 (0.0863) Acc@1: 100.0000 (99.5641) Acc@5: 100.0000 (99.9615) Time: 0.345s, 348.15/s (0.358s, 335.56/s) LR: 5.769e-04 +2023-08-03 00:34:16,977 - train: [ INFO] - Test: [ 0/7] Time: 0.807 (0.807) Loss: 1.1666 (1.1666) Acc@1: 69.1667 (69.1667)Acc@5: 86.6667 (86.6667) + +2023-08-03 00:34:18,596 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.303) Loss: 1.2100 (1.1934) Acc@1: 70.0000 (69.7701)Acc@5: 83.3333 (87.8161) + +2023-08-03 00:34:20,310 - train: [ INFO] - Train: 25 [ 0/65 (100%)] Loss: 0.060793 (0.0608) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.447s, 82.94/s (1.447s, 82.94/s) LR: 5.761e-04 +2023-08-03 00:34:37,353 - train: [ INFO] - Train: 25 [ 50/65 (100%)] Loss: 0.075634 (0.0790) Acc@1: 100.0000 (99.6569) Acc@5: 100.0000 (99.9673) Time: 0.341s, 352.24/s (0.363s, 331.03/s) LR: 5.761e-04 +2023-08-03 00:34:42,130 - train: [ INFO] - Train: 25 [ 64/65 (100%)] Loss: 0.105854 (0.0786) Acc@1: 99.1667 (99.6410) Acc@5: 100.0000 (99.9744) Time: 0.337s, 356.48/s (0.358s, 335.29/s) LR: 5.761e-04 +2023-08-03 00:34:43,042 - train: [ INFO] - Test: [ 0/7] Time: 0.760 (0.760) Loss: 1.2905 (1.2905) Acc@1: 64.1667 (64.1667)Acc@5: 85.8333 (85.8333) + +2023-08-03 00:34:44,604 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.290) Loss: 1.8901 (1.2698) Acc@1: 63.3333 (68.1609)Acc@5: 70.0000 (87.0115) + +2023-08-03 00:34:46,388 - train: [ INFO] - Train: 26 [ 0/65 (100%)] Loss: 0.058583 (0.0586) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.495s, 80.29/s (1.495s, 80.29/s) LR: 5.753e-04 +2023-08-03 00:35:03,417 - train: [ INFO] - Train: 26 [ 50/65 (100%)] Loss: 0.064515 (0.0745) Acc@1: 100.0000 (99.6732) Acc@5: 100.0000 (99.9510) Time: 0.343s, 350.30/s (0.363s, 330.41/s) LR: 5.753e-04 +2023-08-03 00:35:08,254 - train: [ INFO] - Train: 26 [ 64/65 (100%)] Loss: 0.129542 (0.0775) Acc@1: 99.1667 (99.6410) Acc@5: 99.1667 (99.9487) Time: 0.343s, 349.96/s (0.359s, 333.93/s) LR: 5.753e-04 +2023-08-03 00:35:09,218 - train: [ INFO] - Test: [ 0/7] Time: 0.830 (0.830) Loss: 1.3874 (1.3874) Acc@1: 70.8333 (70.8333)Acc@5: 85.8333 (85.8333) + +2023-08-03 00:35:10,808 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.302) Loss: 1.1368 (1.1696) Acc@1: 70.0000 (71.1494)Acc@5: 86.6667 (88.2759) + +2023-08-03 00:35:12,555 - train: [ INFO] - Train: 27 [ 0/65 (100%)] Loss: 0.049464 (0.0495) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.493s, 80.39/s (1.493s, 80.39/s) LR: 5.745e-04 +2023-08-03 00:35:29,475 - train: [ INFO] - Train: 27 [ 50/65 (100%)] Loss: 0.080361 (0.0721) Acc@1: 99.1667 (99.5752) Acc@5: 100.0000 (99.9510) Time: 0.344s, 349.22/s (0.361s, 332.40/s) LR: 5.745e-04 +2023-08-03 00:35:34,234 - train: [ INFO] - Train: 27 [ 64/65 (100%)] Loss: 0.053445 (0.0710) Acc@1: 100.0000 (99.6026) Acc@5: 100.0000 (99.9615) Time: 0.340s, 352.57/s (0.356s, 336.65/s) LR: 5.745e-04 +2023-08-03 00:35:35,177 - train: [ INFO] - Test: [ 0/7] Time: 0.808 (0.808) Loss: 1.2725 (1.2725) Acc@1: 65.8333 (65.8333)Acc@5: 87.5000 (87.5000) + +2023-08-03 00:35:36,775 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.301) Loss: 1.6461 (1.0961) Acc@1: 56.6667 (72.4138)Acc@5: 76.6667 (89.5402) + +2023-08-03 00:35:37,086 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-27.pth.tar', 72.41379665506297) + +2023-08-03 00:35:38,576 - train: [ INFO] - Train: 28 [ 0/65 (100%)] Loss: 0.055305 (0.0553) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.473s, 81.49/s (1.473s, 81.49/s) LR: 5.736e-04 +2023-08-03 00:35:55,643 - train: [ INFO] - Train: 28 [ 50/65 (100%)] Loss: 0.050490 (0.0699) Acc@1: 100.0000 (99.7222) Acc@5: 100.0000 (99.9673) Time: 0.334s, 358.83/s (0.363s, 330.13/s) LR: 5.736e-04 +2023-08-03 00:36:00,373 - train: [ INFO] - Train: 28 [ 64/65 (100%)] Loss: 0.061089 (0.0701) Acc@1: 100.0000 (99.7051) Acc@5: 100.0000 (99.9744) Time: 0.342s, 350.59/s (0.358s, 335.24/s) LR: 5.736e-04 +2023-08-03 00:36:01,301 - train: [ INFO] - Test: [ 0/7] Time: 0.789 (0.789) Loss: 1.0599 (1.0599) Acc@1: 73.3333 (73.3333)Acc@5: 86.6667 (86.6667) + +2023-08-03 00:36:02,886 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.297) Loss: 1.0798 (1.1138) Acc@1: 66.6667 (71.9540)Acc@5: 96.6667 (89.5402) + +2023-08-03 00:36:04,674 - train: [ INFO] - Train: 29 [ 0/65 (100%)] Loss: 0.078598 (0.0786) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.526s, 78.65/s (1.526s, 78.65/s) LR: 5.728e-04 +2023-08-03 00:36:21,692 - train: [ INFO] - Train: 29 [ 50/65 (100%)] Loss: 0.082887 (0.0592) Acc@1: 99.1667 (99.8366) Acc@5: 100.0000 (99.9837) Time: 0.340s, 352.87/s (0.364s, 330.06/s) LR: 5.728e-04 +2023-08-03 00:36:26,493 - train: [ INFO] - Train: 29 [ 64/65 (100%)] Loss: 0.054648 (0.0591) Acc@1: 100.0000 (99.8205) Acc@5: 100.0000 (99.9872) Time: 0.343s, 350.11/s (0.359s, 334.16/s) LR: 5.728e-04 +2023-08-03 00:36:27,474 - train: [ INFO] - Test: [ 0/7] Time: 0.790 (0.790) Loss: 1.0507 (1.0507) Acc@1: 73.3333 (73.3333)Acc@5: 90.8333 (90.8333) + +2023-08-03 00:36:29,098 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.302) Loss: 1.0911 (1.1283) Acc@1: 76.6667 (72.6437)Acc@5: 86.6667 (88.5058) + +2023-08-03 00:36:29,380 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-29.pth.tar', 72.64368149329876) + +2023-08-03 00:36:30,874 - train: [ INFO] - Train: 30 [ 0/65 (100%)] Loss: 0.055991 (0.0560) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.480s, 81.07/s (1.480s, 81.07/s) LR: 5.718e-04 +2023-08-03 00:36:47,771 - train: [ INFO] - Train: 30 [ 50/65 (100%)] Loss: 0.076301 (0.0536) Acc@1: 99.1667 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.40/s (0.360s, 333.05/s) LR: 5.718e-04 +2023-08-03 00:36:52,537 - train: [ INFO] - Train: 30 [ 64/65 (100%)] Loss: 0.042535 (0.0525) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.06/s (0.356s, 337.08/s) LR: 5.718e-04 +2023-08-03 00:36:53,517 - train: [ INFO] - Test: [ 0/7] Time: 0.839 (0.839) Loss: 1.1610 (1.1610) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-03 00:36:55,129 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.306) Loss: 1.2505 (1.1282) Acc@1: 63.3333 (71.7241)Acc@5: 93.3333 (89.1954) + +2023-08-03 00:36:56,860 - train: [ INFO] - Train: 31 [ 0/65 (100%)] Loss: 0.033844 (0.0338) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.479s, 81.14/s (1.479s, 81.14/s) LR: 5.709e-04 +2023-08-03 00:37:13,905 - train: [ INFO] - Train: 31 [ 50/65 (100%)] Loss: 0.052626 (0.0556) Acc@1: 100.0000 (99.7876) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.91/s (0.363s, 330.41/s) LR: 5.709e-04 +2023-08-03 00:37:18,633 - train: [ INFO] - Train: 31 [ 64/65 (100%)] Loss: 0.049116 (0.0559) Acc@1: 100.0000 (99.8205) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.93/s (0.358s, 335.48/s) LR: 5.709e-04 +2023-08-03 00:37:19,589 - train: [ INFO] - Test: [ 0/7] Time: 0.801 (0.801) Loss: 1.0350 (1.0350) Acc@1: 70.8333 (70.8333)Acc@5: 90.8333 (90.8333) + +2023-08-03 00:37:21,146 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.295) Loss: 0.9080 (1.1530) Acc@1: 80.0000 (72.0690)Acc@5: 90.0000 (89.1954) + +2023-08-03 00:37:22,964 - train: [ INFO] - Train: 32 [ 0/65 (100%)] Loss: 0.056814 (0.0568) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.522s, 78.83/s (1.522s, 78.83/s) LR: 5.699e-04 +2023-08-03 00:37:39,990 - train: [ INFO] - Train: 32 [ 50/65 (100%)] Loss: 0.045524 (0.0446) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.87/s (0.364s, 329.99/s) LR: 5.699e-04 +2023-08-03 00:37:44,782 - train: [ INFO] - Train: 32 [ 64/65 (100%)] Loss: 0.031259 (0.0446) Acc@1: 100.0000 (99.8974) Acc@5: 100.0000 (100.0000) Time: 0.346s, 347.14/s (0.359s, 334.24/s) LR: 5.699e-04 +2023-08-03 00:37:45,745 - train: [ INFO] - Test: [ 0/7] Time: 0.816 (0.816) Loss: 0.9599 (0.9599) Acc@1: 73.3333 (73.3333)Acc@5: 92.5000 (92.5000) + +2023-08-03 00:37:47,350 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.303) Loss: 1.3149 (1.0946) Acc@1: 70.0000 (73.1035)Acc@5: 86.6667 (89.4253) + +2023-08-03 00:37:47,636 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-32.pth.tar', 73.1034514328529) + +2023-08-03 00:37:49,256 - train: [ INFO] - Train: 33 [ 0/65 (100%)] Loss: 0.028964 (0.0290) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.605s, 74.74/s (1.605s, 74.74/s) LR: 5.689e-04 +2023-08-03 00:38:06,162 - train: [ INFO] - Train: 33 [ 50/65 (100%)] Loss: 0.041441 (0.0405) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (99.9837) Time: 0.346s, 347.04/s (0.363s, 330.62/s) LR: 5.689e-04 +2023-08-03 00:38:10,947 - train: [ INFO] - Train: 33 [ 64/65 (100%)] Loss: 0.060343 (0.0409) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (99.9872) Time: 0.342s, 350.38/s (0.358s, 334.84/s) LR: 5.689e-04 +2023-08-03 00:38:11,929 - train: [ INFO] - Test: [ 0/7] Time: 0.823 (0.823) Loss: 0.9683 (0.9683) Acc@1: 75.8333 (75.8333)Acc@5: 91.6667 (91.6667) + +2023-08-03 00:38:13,512 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.301) Loss: 1.5027 (1.1898) Acc@1: 66.6667 (70.8046)Acc@5: 80.0000 (88.5058) + +2023-08-03 00:38:15,256 - train: [ INFO] - Train: 34 [ 0/65 (100%)] Loss: 0.051742 (0.0517) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.473s, 81.48/s (1.473s, 81.48/s) LR: 5.679e-04 +2023-08-03 00:38:32,274 - train: [ INFO] - Train: 34 [ 50/65 (100%)] Loss: 0.035914 (0.0386) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.90/s (0.363s, 330.99/s) LR: 5.679e-04 +2023-08-03 00:38:37,008 - train: [ INFO] - Train: 34 [ 64/65 (100%)] Loss: 0.054697 (0.0392) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.85/s (0.357s, 335.87/s) LR: 5.679e-04 +2023-08-03 00:38:37,988 - train: [ INFO] - Test: [ 0/7] Time: 0.824 (0.824) Loss: 1.1268 (1.1268) Acc@1: 73.3333 (73.3333)Acc@5: 90.0000 (90.0000) + +2023-08-03 00:38:39,539 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.297) Loss: 0.9719 (1.0799) Acc@1: 80.0000 (72.9885)Acc@5: 93.3333 (89.5402) + +2023-08-03 00:38:41,269 - train: [ INFO] - Train: 35 [ 0/65 (100%)] Loss: 0.032401 (0.0324) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.466s, 81.87/s (1.466s, 81.87/s) LR: 5.668e-04 +2023-08-03 00:38:58,288 - train: [ INFO] - Train: 35 [ 50/65 (100%)] Loss: 0.039544 (0.0410) Acc@1: 100.0000 (99.9020) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.15/s (0.362s, 331.11/s) LR: 5.668e-04 +2023-08-03 00:39:03,066 - train: [ INFO] - Train: 35 [ 64/65 (100%)] Loss: 0.037970 (0.0417) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.44/s (0.358s, 335.34/s) LR: 5.668e-04 +2023-08-03 00:39:03,978 - train: [ INFO] - Test: [ 0/7] Time: 0.759 (0.759) Loss: 0.9965 (0.9965) Acc@1: 74.1667 (74.1667)Acc@5: 90.8333 (90.8333) + +2023-08-03 00:39:05,572 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.294) Loss: 1.1825 (1.0776) Acc@1: 70.0000 (73.2184)Acc@5: 93.3333 (88.7356) + +2023-08-03 00:39:05,855 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-35.pth.tar', 73.2183943123653) + +2023-08-03 00:39:07,360 - train: [ INFO] - Train: 36 [ 0/65 (100%)] Loss: 0.036671 (0.0367) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.489s, 80.60/s (1.489s, 80.60/s) LR: 5.657e-04 +2023-08-03 00:39:24,294 - train: [ INFO] - Train: 36 [ 50/65 (100%)] Loss: 0.040733 (0.0436) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.88/s (0.361s, 332.23/s) LR: 5.657e-04 +2023-08-03 00:39:29,092 - train: [ INFO] - Train: 36 [ 64/65 (100%)] Loss: 0.037075 (0.0431) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.18/s (0.357s, 335.95/s) LR: 5.657e-04 +2023-08-03 00:39:30,078 - train: [ INFO] - Test: [ 0/7] Time: 0.828 (0.828) Loss: 1.0482 (1.0482) Acc@1: 73.3333 (73.3333)Acc@5: 90.8333 (90.8333) + +2023-08-03 00:39:31,652 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.300) Loss: 0.8946 (1.0919) Acc@1: 80.0000 (72.4138)Acc@5: 93.3333 (90.1149) + +2023-08-03 00:39:33,447 - train: [ INFO] - Train: 37 [ 0/65 (100%)] Loss: 0.039067 (0.0391) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.530s, 78.41/s (1.530s, 78.41/s) LR: 5.646e-04 +2023-08-03 00:39:50,476 - train: [ INFO] - Train: 37 [ 50/65 (100%)] Loss: 0.038773 (0.0381) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.30/s (0.364s, 329.77/s) LR: 5.646e-04 +2023-08-03 00:39:55,270 - train: [ INFO] - Train: 37 [ 64/65 (100%)] Loss: 0.046838 (0.0388) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.10/s (0.359s, 334.03/s) LR: 5.646e-04 +2023-08-03 00:39:56,262 - train: [ INFO] - Test: [ 0/7] Time: 0.778 (0.778) Loss: 1.2642 (1.2642) Acc@1: 68.3333 (68.3333)Acc@5: 90.0000 (90.0000) + +2023-08-03 00:39:57,832 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.293) Loss: 0.6264 (1.1936) Acc@1: 73.3333 (70.3448)Acc@5: 100.0000 (89.3103) + +2023-08-03 00:39:59,565 - train: [ INFO] - Train: 38 [ 0/65 (100%)] Loss: 0.052993 (0.0530) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.449s, 82.83/s (1.449s, 82.83/s) LR: 5.634e-04 +2023-08-03 00:40:16,656 - train: [ INFO] - Train: 38 [ 50/65 (100%)] Loss: 0.037878 (0.0384) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (99.9837) Time: 0.342s, 351.36/s (0.363s, 330.14/s) LR: 5.634e-04 +2023-08-03 00:40:21,439 - train: [ INFO] - Train: 38 [ 64/65 (100%)] Loss: 0.031191 (0.0385) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (99.9872) Time: 0.340s, 352.45/s (0.359s, 334.50/s) LR: 5.634e-04 +2023-08-03 00:40:22,407 - train: [ INFO] - Test: [ 0/7] Time: 0.796 (0.796) Loss: 1.4622 (1.4622) Acc@1: 65.8333 (65.8333)Acc@5: 80.8333 (80.8333) + +2023-08-03 00:40:23,991 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.297) Loss: 1.3198 (1.2183) Acc@1: 56.6667 (70.4598)Acc@5: 90.0000 (87.8161) + +2023-08-03 00:40:25,672 - train: [ INFO] - Train: 39 [ 0/65 (100%)] Loss: 0.060850 (0.0609) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.415s, 84.81/s (1.415s, 84.81/s) LR: 5.623e-04 +2023-08-03 00:40:42,659 - train: [ INFO] - Train: 39 [ 50/65 (100%)] Loss: 0.050768 (0.0374) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.10/s (0.361s, 332.61/s) LR: 5.623e-04 +2023-08-03 00:40:47,441 - train: [ INFO] - Train: 39 [ 64/65 (100%)] Loss: 0.039883 (0.0377) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.21/s (0.357s, 336.48/s) LR: 5.623e-04 +2023-08-03 00:40:48,459 - train: [ INFO] - Test: [ 0/7] Time: 0.842 (0.842) Loss: 0.8530 (0.8530) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-03 00:40:50,041 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.303) Loss: 1.5345 (1.2071) Acc@1: 70.0000 (70.2299)Acc@5: 83.3333 (88.7356) + +2023-08-03 00:40:51,818 - train: [ INFO] - Train: 40 [ 0/65 (100%)] Loss: 0.034267 (0.0343) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.498s, 80.11/s (1.498s, 80.11/s) LR: 5.610e-04 +2023-08-03 00:41:08,740 - train: [ INFO] - Train: 40 [ 50/65 (100%)] Loss: 0.031352 (0.0391) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.81/s (0.361s, 332.27/s) LR: 5.610e-04 +2023-08-03 00:41:13,517 - train: [ INFO] - Train: 40 [ 64/65 (100%)] Loss: 0.036235 (0.0397) Acc@1: 100.0000 (99.8846) Acc@5: 100.0000 (99.9872) Time: 0.335s, 357.76/s (0.357s, 336.29/s) LR: 5.610e-04 +2023-08-03 00:41:14,482 - train: [ INFO] - Test: [ 0/7] Time: 0.802 (0.802) Loss: 1.1898 (1.1898) Acc@1: 73.3333 (73.3333)Acc@5: 86.6667 (86.6667) + +2023-08-03 00:41:16,023 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.293) Loss: 0.8863 (1.1521) Acc@1: 66.6667 (71.4943)Acc@5: 93.3333 (88.9655) + +2023-08-03 00:41:18,051 - train: [ INFO] - Train: 41 [ 0/65 (100%)] Loss: 0.029594 (0.0296) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.80/s (1.504s, 79.80/s) LR: 5.598e-04 +2023-08-03 00:41:35,085 - train: [ INFO] - Train: 41 [ 50/65 (100%)] Loss: 0.020964 (0.0357) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.82/s (0.363s, 330.17/s) LR: 5.598e-04 +2023-08-03 00:41:39,844 - train: [ INFO] - Train: 41 [ 64/65 (100%)] Loss: 0.026977 (0.0354) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (99.9872) Time: 0.340s, 353.43/s (0.358s, 334.86/s) LR: 5.598e-04 +2023-08-03 00:41:40,782 - train: [ INFO] - Test: [ 0/7] Time: 0.798 (0.798) Loss: 1.0454 (1.0454) Acc@1: 75.8333 (75.8333)Acc@5: 91.6667 (91.6667) + +2023-08-03 00:41:42,326 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.293) Loss: 1.0822 (1.1130) Acc@1: 70.0000 (72.5287)Acc@5: 93.3333 (89.3103) + +2023-08-03 00:41:44,049 - train: [ INFO] - Train: 42 [ 0/65 (100%)] Loss: 0.030950 (0.0309) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.458s, 82.31/s (1.458s, 82.31/s) LR: 5.585e-04 +2023-08-03 00:42:01,028 - train: [ INFO] - Train: 42 [ 50/65 (100%)] Loss: 0.057980 (0.0481) Acc@1: 100.0000 (99.8366) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.99/s (0.361s, 331.97/s) LR: 5.585e-04 +2023-08-03 00:42:05,827 - train: [ INFO] - Train: 42 [ 64/65 (100%)] Loss: 0.055528 (0.0473) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.45/s (0.357s, 335.74/s) LR: 5.585e-04 +2023-08-03 00:42:06,760 - train: [ INFO] - Test: [ 0/7] Time: 0.781 (0.781) Loss: 1.1794 (1.1794) Acc@1: 68.3333 (68.3333)Acc@5: 86.6667 (86.6667) + +2023-08-03 00:42:08,358 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.297) Loss: 0.6394 (1.1983) Acc@1: 80.0000 (71.2644)Acc@5: 93.3333 (87.2414) + +2023-08-03 00:42:10,016 - train: [ INFO] - Train: 43 [ 0/65 (100%)] Loss: 0.042978 (0.0430) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.380s, 86.96/s (1.380s, 86.96/s) LR: 5.572e-04 +2023-08-03 00:42:26,969 - train: [ INFO] - Train: 43 [ 50/65 (100%)] Loss: 0.039957 (0.0385) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (99.9837) Time: 0.337s, 356.04/s (0.359s, 333.87/s) LR: 5.572e-04 +2023-08-03 00:42:31,728 - train: [ INFO] - Train: 43 [ 64/65 (100%)] Loss: 0.071512 (0.0395) Acc@1: 99.1667 (99.9487) Acc@5: 100.0000 (99.9872) Time: 0.336s, 357.34/s (0.355s, 337.84/s) LR: 5.572e-04 +2023-08-03 00:42:32,732 - train: [ INFO] - Test: [ 0/7] Time: 0.834 (0.834) Loss: 1.1092 (1.1092) Acc@1: 70.8333 (70.8333)Acc@5: 89.1667 (89.1667) + +2023-08-03 00:42:34,313 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.302) Loss: 0.7050 (1.1367) Acc@1: 80.0000 (71.4943)Acc@5: 96.6667 (89.4253) + +2023-08-03 00:42:36,133 - train: [ INFO] - Train: 44 [ 0/65 (100%)] Loss: 0.031510 (0.0315) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.540s, 77.91/s (1.540s, 77.91/s) LR: 5.559e-04 +2023-08-03 00:42:53,146 - train: [ INFO] - Train: 44 [ 50/65 (100%)] Loss: 0.066110 (0.0415) Acc@1: 100.0000 (99.8856) Acc@5: 100.0000 (99.9837) Time: 0.338s, 354.60/s (0.364s, 329.89/s) LR: 5.559e-04 +2023-08-03 00:42:57,916 - train: [ INFO] - Train: 44 [ 64/65 (100%)] Loss: 0.026003 (0.0402) Acc@1: 100.0000 (99.9103) Acc@5: 100.0000 (99.9872) Time: 0.342s, 350.70/s (0.359s, 334.46/s) LR: 5.559e-04 +2023-08-03 00:42:58,893 - train: [ INFO] - Test: [ 0/7] Time: 0.812 (0.812) Loss: 1.5319 (1.5319) Acc@1: 61.6667 (61.6667)Acc@5: 84.1667 (84.1667) + +2023-08-03 00:43:00,537 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.307) Loss: 0.6960 (1.1486) Acc@1: 76.6667 (71.4943)Acc@5: 96.6667 (89.3104) + +2023-08-03 00:43:02,330 - train: [ INFO] - Train: 45 [ 0/65 (100%)] Loss: 0.028309 (0.0283) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.527s, 78.60/s (1.527s, 78.60/s) LR: 5.546e-04 +2023-08-03 00:43:19,328 - train: [ INFO] - Train: 45 [ 50/65 (100%)] Loss: 0.033624 (0.0334) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.49/s (0.363s, 330.39/s) LR: 5.546e-04 +2023-08-03 00:43:24,110 - train: [ INFO] - Train: 45 [ 64/65 (100%)] Loss: 0.031666 (0.0327) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.25/s (0.359s, 334.71/s) LR: 5.546e-04 +2023-08-03 00:43:25,115 - train: [ INFO] - Test: [ 0/7] Time: 0.845 (0.845) Loss: 1.0509 (1.0509) Acc@1: 75.0000 (75.0000)Acc@5: 91.6667 (91.6667) + +2023-08-03 00:43:26,645 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.297) Loss: 1.1920 (1.1429) Acc@1: 70.0000 (72.4138)Acc@5: 86.6667 (89.3104) + +2023-08-03 00:43:28,365 - train: [ INFO] - Train: 46 [ 0/65 (100%)] Loss: 0.024693 (0.0247) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.480s, 81.08/s (1.480s, 81.08/s) LR: 5.532e-04 +2023-08-03 00:43:45,380 - train: [ INFO] - Train: 46 [ 50/65 (100%)] Loss: 0.029072 (0.0328) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.58/s (0.363s, 330.93/s) LR: 5.532e-04 +2023-08-03 00:43:50,152 - train: [ INFO] - Train: 46 [ 64/65 (100%)] Loss: 0.033519 (0.0333) Acc@1: 100.0000 (99.9231) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.29/s (0.358s, 335.29/s) LR: 5.532e-04 +2023-08-03 00:43:51,093 - train: [ INFO] - Test: [ 0/7] Time: 0.793 (0.793) Loss: 1.1526 (1.1526) Acc@1: 71.6667 (71.6667)Acc@5: 88.3333 (88.3333) + +2023-08-03 00:43:52,667 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.296) Loss: 1.2905 (1.0876) Acc@1: 66.6667 (73.1035)Acc@5: 93.3333 (90.2299) + +2023-08-03 00:43:54,301 - train: [ INFO] - Train: 47 [ 0/65 (100%)] Loss: 0.040687 (0.0407) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.350s, 88.88/s (1.350s, 88.88/s) LR: 5.518e-04 +2023-08-03 00:44:11,272 - train: [ INFO] - Train: 47 [ 50/65 (100%)] Loss: 0.030245 (0.0352) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.40/s (0.359s, 334.08/s) LR: 5.518e-04 +2023-08-03 00:44:16,054 - train: [ INFO] - Train: 47 [ 64/65 (100%)] Loss: 0.038591 (0.0360) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.50/s (0.355s, 337.67/s) LR: 5.518e-04 +2023-08-03 00:44:17,019 - train: [ INFO] - Test: [ 0/7] Time: 0.812 (0.812) Loss: 1.2782 (1.2782) Acc@1: 74.1667 (74.1667)Acc@5: 90.8333 (90.8333) + +2023-08-03 00:44:18,638 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.304) Loss: 1.1708 (1.2726) Acc@1: 63.3333 (68.6207)Acc@5: 86.6667 (89.0805) + +2023-08-03 00:44:20,422 - train: [ INFO] - Train: 48 [ 0/65 (100%)] Loss: 0.031168 (0.0312) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.533s, 78.27/s (1.533s, 78.27/s) LR: 5.503e-04 +2023-08-03 00:44:37,436 - train: [ INFO] - Train: 48 [ 50/65 (100%)] Loss: 0.021596 (0.0314) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.345s, 348.31/s (0.364s, 330.01/s) LR: 5.503e-04 +2023-08-03 00:44:42,180 - train: [ INFO] - Train: 48 [ 64/65 (100%)] Loss: 0.029799 (0.0311) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.67/s (0.358s, 334.94/s) LR: 5.503e-04 +2023-08-03 00:44:43,155 - train: [ INFO] - Test: [ 0/7] Time: 0.820 (0.820) Loss: 1.4692 (1.4692) Acc@1: 69.1667 (69.1667)Acc@5: 80.8333 (80.8333) + +2023-08-03 00:44:44,750 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.302) Loss: 2.0049 (1.1697) Acc@1: 63.3333 (72.0690)Acc@5: 73.3333 (89.1954) + +2023-08-03 00:44:46,554 - train: [ INFO] - Train: 49 [ 0/65 (100%)] Loss: 0.022807 (0.0228) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.520s, 78.96/s (1.520s, 78.96/s) LR: 5.489e-04 +2023-08-03 00:45:03,603 - train: [ INFO] - Train: 49 [ 50/65 (100%)] Loss: 0.023844 (0.0293) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.345s, 347.47/s (0.364s, 329.62/s) LR: 5.489e-04 +2023-08-03 00:45:08,378 - train: [ INFO] - Train: 49 [ 64/65 (100%)] Loss: 0.042649 (0.0285) Acc@1: 99.1667 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.26/s (0.359s, 334.19/s) LR: 5.489e-04 +2023-08-03 00:45:09,326 - train: [ INFO] - Test: [ 0/7] Time: 0.795 (0.795) Loss: 1.5443 (1.5443) Acc@1: 63.3333 (63.3333)Acc@5: 84.1667 (84.1667) + +2023-08-03 00:45:10,964 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.304) Loss: 0.7049 (1.1518) Acc@1: 83.3333 (72.1839)Acc@5: 90.0000 (89.6552) + +2023-08-03 00:45:12,586 - train: [ INFO] - Train: 50 [ 0/65 (100%)] Loss: 0.020317 (0.0203) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.348s, 89.02/s (1.348s, 89.02/s) LR: 5.474e-04 +2023-08-03 00:45:29,596 - train: [ INFO] - Train: 50 [ 50/65 (100%)] Loss: 0.028828 (0.0279) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.72/s (0.360s, 333.40/s) LR: 5.474e-04 +2023-08-03 00:45:34,419 - train: [ INFO] - Train: 50 [ 64/65 (100%)] Loss: 0.024015 (0.0310) Acc@1: 100.0000 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.49/s (0.357s, 336.52/s) LR: 5.474e-04 +2023-08-03 00:45:35,350 - train: [ INFO] - Test: [ 0/7] Time: 0.787 (0.787) Loss: 1.2088 (1.2088) Acc@1: 70.8333 (70.8333)Acc@5: 89.1667 (89.1667) + +2023-08-03 00:45:36,945 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.298) Loss: 1.3793 (1.3465) Acc@1: 70.0000 (67.5862)Acc@5: 83.3333 (87.2414) + +2023-08-03 00:45:38,727 - train: [ INFO] - Train: 51 [ 0/65 (100%)] Loss: 0.030258 (0.0303) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.476s, 81.32/s (1.476s, 81.32/s) LR: 5.458e-04 +2023-08-03 00:45:55,642 - train: [ INFO] - Train: 51 [ 50/65 (100%)] Loss: 0.067427 (0.0475) Acc@1: 99.1667 (99.7059) Acc@5: 100.0000 (99.9837) Time: 0.335s, 357.70/s (0.361s, 332.80/s) LR: 5.458e-04 +2023-08-03 00:46:00,410 - train: [ INFO] - Train: 51 [ 64/65 (100%)] Loss: 0.041101 (0.0494) Acc@1: 100.0000 (99.7180) Acc@5: 100.0000 (99.9872) Time: 0.342s, 351.01/s (0.356s, 336.84/s) LR: 5.458e-04 +2023-08-03 00:46:01,377 - train: [ INFO] - Test: [ 0/7] Time: 0.818 (0.818) Loss: 1.5273 (1.5273) Acc@1: 70.8333 (70.8333)Acc@5: 83.3333 (83.3333) + +2023-08-03 00:46:02,949 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.299) Loss: 1.5161 (1.2576) Acc@1: 63.3333 (70.9195)Acc@5: 86.6667 (88.0460) + +2023-08-03 00:46:04,670 - train: [ INFO] - Train: 52 [ 0/65 (100%)] Loss: 0.058135 (0.0581) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.471s, 81.57/s (1.471s, 81.57/s) LR: 5.443e-04 +2023-08-03 00:46:21,745 - train: [ INFO] - Train: 52 [ 50/65 (100%)] Loss: 0.073022 (0.0537) Acc@1: 100.0000 (99.8203) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.48/s (0.364s, 330.01/s) LR: 5.443e-04 +2023-08-03 00:46:26,514 - train: [ INFO] - Train: 52 [ 64/65 (100%)] Loss: 0.069547 (0.0535) Acc@1: 100.0000 (99.8077) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.43/s (0.359s, 334.58/s) LR: 5.443e-04 +2023-08-03 00:46:27,486 - train: [ INFO] - Test: [ 0/7] Time: 0.801 (0.801) Loss: 1.4623 (1.4623) Acc@1: 71.6667 (71.6667)Acc@5: 86.6667 (86.6667) + +2023-08-03 00:46:29,088 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.300) Loss: 1.2889 (1.3582) Acc@1: 66.6667 (69.8851)Acc@5: 86.6667 (87.8161) + +2023-08-03 00:46:30,897 - train: [ INFO] - Train: 53 [ 0/65 (100%)] Loss: 0.068628 (0.0686) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.528s, 78.55/s (1.528s, 78.55/s) LR: 5.427e-04 +2023-08-03 00:46:47,965 - train: [ INFO] - Train: 53 [ 50/65 (100%)] Loss: 0.034222 (0.0475) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.345s, 347.51/s (0.365s, 329.14/s) LR: 5.427e-04 +2023-08-03 00:46:52,766 - train: [ INFO] - Train: 53 [ 64/65 (100%)] Loss: 0.060495 (0.0473) Acc@1: 99.1667 (99.8718) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.80/s (0.360s, 333.41/s) LR: 5.427e-04 +2023-08-03 00:46:53,750 - train: [ INFO] - Test: [ 0/7] Time: 0.845 (0.845) Loss: 0.9847 (0.9847) Acc@1: 72.5000 (72.5000)Acc@5: 91.6667 (91.6667) + +2023-08-03 00:46:55,330 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.303) Loss: 0.4068 (1.1888) Acc@1: 93.3333 (71.9540)Acc@5: 96.6667 (88.0460) + +2023-08-03 00:46:57,194 - train: [ INFO] - Train: 54 [ 0/65 (100%)] Loss: 0.034568 (0.0346) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.560s, 76.93/s (1.560s, 76.93/s) LR: 5.411e-04 +2023-08-03 00:47:14,150 - train: [ INFO] - Train: 54 [ 50/65 (100%)] Loss: 0.035519 (0.0412) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.14/s (0.363s, 330.56/s) LR: 5.411e-04 +2023-08-03 00:47:18,934 - train: [ INFO] - Train: 54 [ 64/65 (100%)] Loss: 0.033483 (0.0403) Acc@1: 100.0000 (99.9359) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.06/s (0.358s, 334.80/s) LR: 5.411e-04 +2023-08-03 00:47:19,887 - train: [ INFO] - Test: [ 0/7] Time: 0.796 (0.796) Loss: 1.4341 (1.4341) Acc@1: 66.6667 (66.6667)Acc@5: 88.3333 (88.3333) + +2023-08-03 00:47:21,475 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.298) Loss: 1.6636 (1.2062) Acc@1: 63.3333 (71.9540)Acc@5: 76.6667 (88.1609) + +2023-08-03 00:47:23,189 - train: [ INFO] - Train: 55 [ 0/65 (100%)] Loss: 0.024801 (0.0248) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.444s, 83.13/s (1.444s, 83.13/s) LR: 5.395e-04 +2023-08-03 00:47:40,234 - train: [ INFO] - Train: 55 [ 50/65 (100%)] Loss: 0.024060 (0.0270) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.46/s (0.362s, 331.06/s) LR: 5.395e-04 +2023-08-03 00:47:44,958 - train: [ INFO] - Train: 55 [ 64/65 (100%)] Loss: 0.020693 (0.0261) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.36/s (0.357s, 336.06/s) LR: 5.395e-04 +2023-08-03 00:47:45,972 - train: [ INFO] - Test: [ 0/7] Time: 0.832 (0.832) Loss: 1.2014 (1.2014) Acc@1: 73.3333 (73.3333)Acc@5: 86.6667 (86.6667) + +2023-08-03 00:47:47,528 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.299) Loss: 0.6882 (1.1268) Acc@1: 80.0000 (73.6782)Acc@5: 96.6667 (89.3103) + +2023-08-03 00:47:47,815 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-55.pth.tar', 73.67816504116716) + +2023-08-03 00:47:49,426 - train: [ INFO] - Train: 56 [ 0/65 (100%)] Loss: 0.026025 (0.0260) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.593s, 75.34/s (1.593s, 75.34/s) LR: 5.378e-04 +2023-08-03 00:48:06,450 - train: [ INFO] - Train: 56 [ 50/65 (100%)] Loss: 0.023838 (0.0236) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.97/s (0.365s, 328.76/s) LR: 5.378e-04 +2023-08-03 00:48:11,245 - train: [ INFO] - Train: 56 [ 64/65 (100%)] Loss: 0.021289 (0.0231) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.40/s (0.360s, 333.20/s) LR: 5.378e-04 +2023-08-03 00:48:12,228 - train: [ INFO] - Test: [ 0/7] Time: 0.816 (0.816) Loss: 1.1474 (1.1474) Acc@1: 70.8333 (70.8333)Acc@5: 89.1667 (89.1667) + +2023-08-03 00:48:13,785 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.297) Loss: 1.1840 (1.1098) Acc@1: 73.3333 (73.5632)Acc@5: 90.0000 (89.6552) + +2023-08-03 00:48:15,550 - train: [ INFO] - Train: 57 [ 0/65 (100%)] Loss: 0.019348 (0.0193) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.502s, 79.89/s (1.502s, 79.89/s) LR: 5.361e-04 +2023-08-03 00:48:32,507 - train: [ INFO] - Train: 57 [ 50/65 (100%)] Loss: 0.024789 (0.0216) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.28/s (0.362s, 331.58/s) LR: 5.361e-04 +2023-08-03 00:48:37,276 - train: [ INFO] - Train: 57 [ 64/65 (100%)] Loss: 0.015771 (0.0213) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.74/s (0.357s, 335.83/s) LR: 5.361e-04 +2023-08-03 00:48:38,268 - train: [ INFO] - Test: [ 0/7] Time: 0.827 (0.827) Loss: 1.0946 (1.0946) Acc@1: 70.8333 (70.8333)Acc@5: 89.1667 (89.1667) + +2023-08-03 00:48:39,883 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.305) Loss: 0.8902 (1.1087) Acc@1: 73.3333 (73.1035)Acc@5: 90.0000 (90.4598) + +2023-08-03 00:48:41,602 - train: [ INFO] - Train: 58 [ 0/65 (100%)] Loss: 0.022177 (0.0222) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.478s, 81.20/s (1.478s, 81.20/s) LR: 5.344e-04 +2023-08-03 00:48:58,649 - train: [ INFO] - Train: 58 [ 50/65 (100%)] Loss: 0.019291 (0.0204) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.69/s (0.363s, 330.39/s) LR: 5.344e-04 +2023-08-03 00:49:03,406 - train: [ INFO] - Train: 58 [ 64/65 (100%)] Loss: 0.017391 (0.0203) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.85/s (0.358s, 335.06/s) LR: 5.344e-04 +2023-08-03 00:49:04,365 - train: [ INFO] - Test: [ 0/7] Time: 0.800 (0.800) Loss: 1.1553 (1.1553) Acc@1: 71.6667 (71.6667)Acc@5: 90.8333 (90.8333) + +2023-08-03 00:49:05,874 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.289) Loss: 1.1077 (1.1108) Acc@1: 70.0000 (73.1035)Acc@5: 96.6667 (90.2299) + +2023-08-03 00:49:07,641 - train: [ INFO] - Train: 59 [ 0/65 (100%)] Loss: 0.020674 (0.0207) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.494s, 80.33/s (1.494s, 80.33/s) LR: 5.327e-04 +2023-08-03 00:49:24,707 - train: [ INFO] - Train: 59 [ 50/65 (100%)] Loss: 0.015088 (0.0208) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.82/s (0.364s, 329.78/s) LR: 5.327e-04 +2023-08-03 00:49:29,505 - train: [ INFO] - Train: 59 [ 64/65 (100%)] Loss: 0.024585 (0.0203) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.40/s (0.359s, 333.97/s) LR: 5.327e-04 +2023-08-03 00:49:30,500 - train: [ INFO] - Test: [ 0/7] Time: 0.841 (0.841) Loss: 1.2365 (1.2365) Acc@1: 71.6667 (71.6667)Acc@5: 88.3333 (88.3333) + +2023-08-03 00:49:32,047 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.299) Loss: 1.7361 (1.0606) Acc@1: 70.0000 (74.8276)Acc@5: 76.6667 (89.8851) + +2023-08-03 00:49:32,299 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-59.pth.tar', 74.82759041621767) + +2023-08-03 00:49:33,788 - train: [ INFO] - Train: 60 [ 0/65 (100%)] Loss: 0.016378 (0.0164) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.474s, 81.39/s (1.474s, 81.39/s) LR: 5.309e-04 +2023-08-03 00:49:50,727 - train: [ INFO] - Train: 60 [ 50/65 (100%)] Loss: 0.018110 (0.0192) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.49/s (0.361s, 332.39/s) LR: 5.309e-04 +2023-08-03 00:49:55,509 - train: [ INFO] - Train: 60 [ 64/65 (100%)] Loss: 0.021403 (0.0193) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.72/s (0.357s, 336.31/s) LR: 5.309e-04 +2023-08-03 00:49:56,456 - train: [ INFO] - Test: [ 0/7] Time: 0.793 (0.793) Loss: 1.0825 (1.0825) Acc@1: 73.3333 (73.3333)Acc@5: 90.0000 (90.0000) + +2023-08-03 00:49:58,035 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.296) Loss: 1.9447 (1.1893) Acc@1: 63.3333 (69.6552)Acc@5: 70.0000 (89.4253) + +2023-08-03 00:49:59,748 - train: [ INFO] - Train: 61 [ 0/65 (100%)] Loss: 0.016737 (0.0167) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.470s, 81.63/s (1.470s, 81.63/s) LR: 5.292e-04 +2023-08-03 00:50:16,727 - train: [ INFO] - Train: 61 [ 50/65 (100%)] Loss: 0.020514 (0.0211) Acc@1: 100.0000 (99.9346) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.61/s (0.362s, 331.74/s) LR: 5.292e-04 +2023-08-03 00:50:21,499 - train: [ INFO] - Train: 61 [ 64/65 (100%)] Loss: 0.026813 (0.0214) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.01/s (0.357s, 335.92/s) LR: 5.292e-04 +2023-08-03 00:50:22,414 - train: [ INFO] - Test: [ 0/7] Time: 0.775 (0.775) Loss: 1.1327 (1.1327) Acc@1: 71.6667 (71.6667)Acc@5: 90.8333 (90.8333) + +2023-08-03 00:50:23,986 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.293) Loss: 1.3524 (1.1740) Acc@1: 70.0000 (71.8391)Acc@5: 90.0000 (89.0805) + +2023-08-03 00:50:25,773 - train: [ INFO] - Train: 62 [ 0/65 (100%)] Loss: 0.019808 (0.0198) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.523s, 78.78/s (1.523s, 78.78/s) LR: 5.273e-04 +2023-08-03 00:50:42,830 - train: [ INFO] - Train: 62 [ 50/65 (100%)] Loss: 0.017319 (0.0186) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.92/s (0.364s, 329.40/s) LR: 5.273e-04 +2023-08-03 00:50:47,603 - train: [ INFO] - Train: 62 [ 64/65 (100%)] Loss: 0.016011 (0.0186) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.68/s (0.359s, 334.02/s) LR: 5.273e-04 +2023-08-03 00:50:48,563 - train: [ INFO] - Test: [ 0/7] Time: 0.808 (0.808) Loss: 1.3044 (1.3044) Acc@1: 71.6667 (71.6667)Acc@5: 90.0000 (90.0000) + +2023-08-03 00:50:50,128 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.297) Loss: 1.2616 (1.0892) Acc@1: 73.3333 (73.4483)Acc@5: 90.0000 (89.7701) + +2023-08-03 00:50:51,786 - train: [ INFO] - Train: 63 [ 0/65 (100%)] Loss: 0.017370 (0.0174) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.372s, 87.49/s (1.372s, 87.49/s) LR: 5.255e-04 +2023-08-03 00:51:08,755 - train: [ INFO] - Train: 63 [ 50/65 (100%)] Loss: 0.013705 (0.0188) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 347.84/s (0.360s, 333.72/s) LR: 5.255e-04 +2023-08-03 00:51:13,546 - train: [ INFO] - Train: 63 [ 64/65 (100%)] Loss: 0.013895 (0.0183) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.52/s (0.356s, 337.24/s) LR: 5.255e-04 +2023-08-03 00:51:14,527 - train: [ INFO] - Test: [ 0/7] Time: 0.805 (0.805) Loss: 1.1180 (1.1180) Acc@1: 72.5000 (72.5000)Acc@5: 88.3333 (88.3333) + +2023-08-03 00:51:16,153 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.304) Loss: 0.7987 (1.1241) Acc@1: 76.6667 (72.7586)Acc@5: 96.6667 (89.6552) + +2023-08-03 00:51:17,923 - train: [ INFO] - Train: 64 [ 0/65 (100%)] Loss: 0.015688 (0.0157) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.375s, 87.30/s (1.375s, 87.30/s) LR: 5.236e-04 +2023-08-03 00:51:34,921 - train: [ INFO] - Train: 64 [ 50/65 (100%)] Loss: 0.013982 (0.0153) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.76/s (0.360s, 333.13/s) LR: 5.236e-04 +2023-08-03 00:51:39,687 - train: [ INFO] - Train: 64 [ 64/65 (100%)] Loss: 0.013076 (0.0155) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.34/s (0.356s, 337.15/s) LR: 5.236e-04 +2023-08-03 00:51:40,619 - train: [ INFO] - Test: [ 0/7] Time: 0.773 (0.773) Loss: 1.0496 (1.0496) Acc@1: 76.6667 (76.6667)Acc@5: 89.1667 (89.1667) + +2023-08-03 00:51:42,159 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.289) Loss: 0.3940 (1.0450) Acc@1: 86.6667 (75.0575)Acc@5: 93.3333 (89.7701) + +2023-08-03 00:51:42,426 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-64.pth.tar', 75.05747564907732) + +2023-08-03 00:51:43,951 - train: [ INFO] - Train: 65 [ 0/65 (100%)] Loss: 0.013725 (0.0137) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.512s, 79.35/s (1.512s, 79.35/s) LR: 5.218e-04 +2023-08-03 00:52:01,015 - train: [ INFO] - Train: 65 [ 50/65 (100%)] Loss: 0.022087 (0.0168) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.41/s (0.364s, 329.47/s) LR: 5.218e-04 +2023-08-03 00:52:05,770 - train: [ INFO] - Train: 65 [ 64/65 (100%)] Loss: 0.019861 (0.0170) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.33/s (0.359s, 334.36/s) LR: 5.218e-04 +2023-08-03 00:52:06,778 - train: [ INFO] - Test: [ 0/7] Time: 0.816 (0.816) Loss: 0.8885 (0.8885) Acc@1: 74.1667 (74.1667)Acc@5: 93.3333 (93.3333) + +2023-08-03 00:52:08,372 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.301) Loss: 0.7986 (1.1000) Acc@1: 76.6667 (74.3678)Acc@5: 96.6667 (88.7356) + +2023-08-03 00:52:10,154 - train: [ INFO] - Train: 66 [ 0/65 (100%)] Loss: 0.016500 (0.0165) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.501s, 79.96/s (1.501s, 79.96/s) LR: 5.199e-04 +2023-08-03 00:52:27,149 - train: [ INFO] - Train: 66 [ 50/65 (100%)] Loss: 0.026479 (0.0272) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.34/s (0.363s, 330.93/s) LR: 5.199e-04 +2023-08-03 00:52:31,938 - train: [ INFO] - Train: 66 [ 64/65 (100%)] Loss: 0.026673 (0.0285) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.70/s (0.358s, 335.04/s) LR: 5.199e-04 +2023-08-03 00:52:32,908 - train: [ INFO] - Test: [ 0/7] Time: 0.815 (0.815) Loss: 1.0966 (1.0966) Acc@1: 69.1667 (69.1667)Acc@5: 89.1667 (89.1667) + +2023-08-03 00:52:34,522 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.304) Loss: 1.2707 (1.1959) Acc@1: 63.3333 (70.9195)Acc@5: 90.0000 (88.3908) + +2023-08-03 00:52:36,302 - train: [ INFO] - Train: 67 [ 0/65 (100%)] Loss: 0.029604 (0.0296) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.481s, 81.04/s (1.481s, 81.04/s) LR: 5.179e-04 +2023-08-03 00:52:53,313 - train: [ INFO] - Train: 67 [ 50/65 (100%)] Loss: 0.038177 (0.0357) Acc@1: 100.0000 (99.8693) Acc@5: 100.0000 (100.0000) Time: 0.334s, 359.35/s (0.363s, 330.98/s) LR: 5.179e-04 +2023-08-03 00:52:58,035 - train: [ INFO] - Train: 67 [ 64/65 (100%)] Loss: 0.050165 (0.0390) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.69/s (0.357s, 336.04/s) LR: 5.179e-04 +2023-08-03 00:52:59,020 - train: [ INFO] - Test: [ 0/7] Time: 0.828 (0.828) Loss: 1.4051 (1.4051) Acc@1: 70.8333 (70.8333)Acc@5: 85.0000 (85.0000) + +2023-08-03 00:53:00,520 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.291) Loss: 0.7554 (1.2221) Acc@1: 80.0000 (70.8046)Acc@5: 93.3333 (88.5058) + +2023-08-03 00:53:02,321 - train: [ INFO] - Train: 68 [ 0/65 (100%)] Loss: 0.050181 (0.0502) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.553s, 77.27/s (1.553s, 77.27/s) LR: 5.160e-04 +2023-08-03 00:53:19,264 - train: [ INFO] - Train: 68 [ 50/65 (100%)] Loss: 0.040215 (0.0733) Acc@1: 100.0000 (99.5915) Acc@5: 100.0000 (99.9837) Time: 0.342s, 350.93/s (0.363s, 330.91/s) LR: 5.160e-04 +2023-08-03 00:53:24,021 - train: [ INFO] - Train: 68 [ 64/65 (100%)] Loss: 0.092341 (0.0795) Acc@1: 100.0000 (99.5256) Acc@5: 100.0000 (99.9744) Time: 0.339s, 354.32/s (0.358s, 335.47/s) LR: 5.160e-04 +2023-08-03 00:53:25,001 - train: [ INFO] - Test: [ 0/7] Time: 0.825 (0.825) Loss: 1.4857 (1.4857) Acc@1: 59.1667 (59.1667)Acc@5: 85.8333 (85.8333) + +2023-08-03 00:53:26,584 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.301) Loss: 1.3153 (1.5050) Acc@1: 66.6667 (64.4828)Acc@5: 83.3333 (84.9425) + +2023-08-03 00:53:28,302 - train: [ INFO] - Train: 69 [ 0/65 (100%)] Loss: 0.090307 (0.0903) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.447s, 82.94/s (1.447s, 82.94/s) LR: 5.140e-04 +2023-08-03 00:53:45,200 - train: [ INFO] - Train: 69 [ 50/65 (100%)] Loss: 0.111708 (0.1200) Acc@1: 99.1667 (99.0850) Acc@5: 100.0000 (99.9510) Time: 0.337s, 356.23/s (0.360s, 333.63/s) LR: 5.140e-04 +2023-08-03 00:53:49,995 - train: [ INFO] - Train: 69 [ 64/65 (100%)] Loss: 0.155385 (0.1209) Acc@1: 98.3333 (99.1026) Acc@5: 100.0000 (99.9615) Time: 0.339s, 353.65/s (0.356s, 337.13/s) LR: 5.140e-04 +2023-08-03 00:53:50,952 - train: [ INFO] - Test: [ 0/7] Time: 0.822 (0.822) Loss: 1.4458 (1.4458) Acc@1: 66.6667 (66.6667)Acc@5: 86.6667 (86.6667) + +2023-08-03 00:53:52,486 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.295) Loss: 2.4575 (1.4575) Acc@1: 53.3333 (65.9770)Acc@5: 80.0000 (86.2069) + +2023-08-03 00:53:54,260 - train: [ INFO] - Train: 70 [ 0/65 (100%)] Loss: 0.082096 (0.0821) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.519s, 79.02/s (1.519s, 79.02/s) LR: 5.120e-04 +2023-08-03 00:54:11,290 - train: [ INFO] - Train: 70 [ 50/65 (100%)] Loss: 0.079351 (0.1104) Acc@1: 99.1667 (99.2484) Acc@5: 100.0000 (99.9673) Time: 0.336s, 357.42/s (0.364s, 329.97/s) LR: 5.120e-04 +2023-08-03 00:54:16,007 - train: [ INFO] - Train: 70 [ 64/65 (100%)] Loss: 0.079131 (0.1046) Acc@1: 100.0000 (99.3333) Acc@5: 100.0000 (99.9744) Time: 0.339s, 354.50/s (0.358s, 335.28/s) LR: 5.120e-04 +2023-08-03 00:54:16,948 - train: [ INFO] - Test: [ 0/7] Time: 0.796 (0.796) Loss: 1.1760 (1.1760) Acc@1: 75.0000 (75.0000)Acc@5: 85.8333 (85.8333) + +2023-08-03 00:54:18,505 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.294) Loss: 1.3592 (1.3173) Acc@1: 76.6667 (68.9655)Acc@5: 86.6667 (86.2069) + +2023-08-03 00:54:20,284 - train: [ INFO] - Train: 71 [ 0/65 (100%)] Loss: 0.080593 (0.0806) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.487s, 80.70/s (1.487s, 80.70/s) LR: 5.099e-04 +2023-08-03 00:54:37,278 - train: [ INFO] - Train: 71 [ 50/65 (100%)] Loss: 0.033578 (0.0540) Acc@1: 100.0000 (99.8529) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.89/s (0.362s, 331.16/s) LR: 5.099e-04 +2023-08-03 00:54:42,057 - train: [ INFO] - Train: 71 [ 64/65 (100%)] Loss: 0.026179 (0.0514) Acc@1: 100.0000 (99.8333) Acc@5: 100.0000 (99.9872) Time: 0.339s, 353.49/s (0.358s, 335.36/s) LR: 5.099e-04 +2023-08-03 00:54:43,038 - train: [ INFO] - Test: [ 0/7] Time: 0.807 (0.807) Loss: 0.8308 (0.8308) Acc@1: 79.1667 (79.1667)Acc@5: 91.6667 (91.6667) + +2023-08-03 00:54:44,638 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.301) Loss: 0.9228 (1.1647) Acc@1: 76.6667 (74.3678)Acc@5: 90.0000 (87.5862) + +2023-08-03 00:54:46,360 - train: [ INFO] - Train: 72 [ 0/65 (100%)] Loss: 0.036316 (0.0363) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.473s, 81.48/s (1.473s, 81.48/s) LR: 5.079e-04 +2023-08-03 00:55:03,331 - train: [ INFO] - Train: 72 [ 50/65 (100%)] Loss: 0.030631 (0.0313) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.96/s (0.362s, 331.84/s) LR: 5.079e-04 +2023-08-03 00:55:08,086 - train: [ INFO] - Train: 72 [ 64/65 (100%)] Loss: 0.017944 (0.0301) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.81/s (0.357s, 336.26/s) LR: 5.079e-04 +2023-08-03 00:55:09,077 - train: [ INFO] - Test: [ 0/7] Time: 0.825 (0.825) Loss: 1.2255 (1.2255) Acc@1: 69.1667 (69.1667)Acc@5: 90.8333 (90.8333) + +2023-08-03 00:55:10,618 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.296) Loss: 1.4536 (1.1383) Acc@1: 76.6667 (72.9885)Acc@5: 90.0000 (89.5402) + +2023-08-03 00:55:12,333 - train: [ INFO] - Train: 73 [ 0/65 (100%)] Loss: 0.023974 (0.0240) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.443s, 83.17/s (1.443s, 83.17/s) LR: 5.058e-04 +2023-08-03 00:55:29,433 - train: [ INFO] - Train: 73 [ 50/65 (100%)] Loss: 0.017815 (0.0241) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.60/s (0.364s, 330.07/s) LR: 5.058e-04 +2023-08-03 00:55:34,193 - train: [ INFO] - Train: 73 [ 64/65 (100%)] Loss: 0.014863 (0.0235) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.04/s (0.358s, 334.76/s) LR: 5.058e-04 +2023-08-03 00:55:35,185 - train: [ INFO] - Test: [ 0/7] Time: 0.800 (0.800) Loss: 0.9896 (0.9896) Acc@1: 75.8333 (75.8333)Acc@5: 89.1667 (89.1667) + +2023-08-03 00:55:36,771 - train: [ INFO] - Test: [ 7/7] Time: 0.038 (0.298) Loss: 1.3254 (1.0673) Acc@1: 80.0000 (75.4023)Acc@5: 83.3333 (89.3103) + +2023-08-03 00:55:37,058 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-73.pth.tar', 75.40230191987136) + +2023-08-03 00:55:38,662 - train: [ INFO] - Train: 74 [ 0/65 (100%)] Loss: 0.020150 (0.0202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.589s, 75.50/s (1.589s, 75.50/s) LR: 5.037e-04 +2023-08-03 00:55:55,641 - train: [ INFO] - Train: 74 [ 50/65 (100%)] Loss: 0.015019 (0.0197) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.64/s (0.364s, 329.62/s) LR: 5.037e-04 +2023-08-03 00:56:00,434 - train: [ INFO] - Train: 74 [ 64/65 (100%)] Loss: 0.014802 (0.0195) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.31/s (0.359s, 333.91/s) LR: 5.037e-04 +2023-08-03 00:56:01,403 - train: [ INFO] - Test: [ 0/7] Time: 0.816 (0.816) Loss: 1.0955 (1.0955) Acc@1: 73.3333 (73.3333)Acc@5: 87.5000 (87.5000) + +2023-08-03 00:56:02,959 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.297) Loss: 0.9022 (1.0585) Acc@1: 76.6667 (74.9425)Acc@5: 93.3333 (90.0000) + +2023-08-03 00:56:04,696 - train: [ INFO] - Train: 75 [ 0/65 (100%)] Loss: 0.016378 (0.0164) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.479s, 81.13/s (1.479s, 81.13/s) LR: 5.016e-04 +2023-08-03 00:56:21,616 - train: [ INFO] - Train: 75 [ 50/65 (100%)] Loss: 0.014323 (0.0185) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.24/s (0.361s, 332.66/s) LR: 5.016e-04 +2023-08-03 00:56:26,374 - train: [ INFO] - Train: 75 [ 64/65 (100%)] Loss: 0.017581 (0.0188) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.90/s (0.356s, 336.87/s) LR: 5.016e-04 +2023-08-03 00:56:27,345 - train: [ INFO] - Test: [ 0/7] Time: 0.822 (0.822) Loss: 1.3367 (1.3367) Acc@1: 66.6667 (66.6667)Acc@5: 88.3333 (88.3333) + +2023-08-03 00:56:28,890 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.296) Loss: 1.0865 (1.0915) Acc@1: 73.3333 (72.8736)Acc@5: 90.0000 (90.3448) + +2023-08-03 00:56:30,637 - train: [ INFO] - Train: 76 [ 0/65 (100%)] Loss: 0.014000 (0.0140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.483s, 80.91/s (1.483s, 80.91/s) LR: 4.994e-04 +2023-08-03 00:56:47,742 - train: [ INFO] - Train: 76 [ 50/65 (100%)] Loss: 0.022079 (0.0175) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.50/s (0.364s, 329.26/s) LR: 4.994e-04 +2023-08-03 00:56:52,499 - train: [ INFO] - Train: 76 [ 64/65 (100%)] Loss: 0.013442 (0.0171) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.347s, 345.93/s (0.359s, 334.14/s) LR: 4.994e-04 +2023-08-03 00:56:53,413 - train: [ INFO] - Test: [ 0/7] Time: 0.784 (0.784) Loss: 0.7499 (0.7499) Acc@1: 80.8333 (80.8333)Acc@5: 94.1667 (94.1667) + +2023-08-03 00:56:54,941 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.289) Loss: 0.7141 (1.0532) Acc@1: 76.6667 (74.9425)Acc@5: 93.3333 (89.5402) + +2023-08-03 00:56:56,663 - train: [ INFO] - Train: 77 [ 0/65 (100%)] Loss: 0.012953 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.442s, 83.22/s (1.442s, 83.22/s) LR: 4.973e-04 +2023-08-03 00:57:13,695 - train: [ INFO] - Train: 77 [ 50/65 (100%)] Loss: 0.014850 (0.0175) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.46/s (0.362s, 331.31/s) LR: 4.973e-04 +2023-08-03 00:57:18,498 - train: [ INFO] - Train: 77 [ 64/65 (100%)] Loss: 0.012848 (0.0175) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.73/s (0.358s, 335.14/s) LR: 4.973e-04 +2023-08-03 00:57:19,471 - train: [ INFO] - Test: [ 0/7] Time: 0.824 (0.824) Loss: 1.2891 (1.2891) Acc@1: 71.6667 (71.6667)Acc@5: 88.3333 (88.3333) + +2023-08-03 00:57:20,987 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.293) Loss: 1.7172 (1.0623) Acc@1: 66.6667 (74.8276)Acc@5: 80.0000 (89.8851) + +2023-08-03 00:57:22,731 - train: [ INFO] - Train: 78 [ 0/65 (100%)] Loss: 0.012554 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.500s, 80.01/s (1.500s, 80.01/s) LR: 4.951e-04 +2023-08-03 00:57:39,656 - train: [ INFO] - Train: 78 [ 50/65 (100%)] Loss: 0.016879 (0.0158) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.65/s (0.361s, 332.19/s) LR: 4.951e-04 +2023-08-03 00:57:44,445 - train: [ INFO] - Train: 78 [ 64/65 (100%)] Loss: 0.015931 (0.0156) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.25/s (0.357s, 336.04/s) LR: 4.951e-04 +2023-08-03 00:57:45,426 - train: [ INFO] - Test: [ 0/7] Time: 0.826 (0.826) Loss: 0.7896 (0.7896) Acc@1: 81.6667 (81.6667)Acc@5: 90.0000 (90.0000) + +2023-08-03 00:57:47,044 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.306) Loss: 1.1337 (1.0807) Acc@1: 63.3333 (73.4483)Acc@5: 93.3333 (89.0805) + +2023-08-03 00:57:48,776 - train: [ INFO] - Train: 79 [ 0/65 (100%)] Loss: 0.014781 (0.0148) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.469s, 81.70/s (1.469s, 81.70/s) LR: 4.929e-04 +2023-08-03 00:58:05,802 - train: [ INFO] - Train: 79 [ 50/65 (100%)] Loss: 0.012338 (0.0138) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.12/s (0.363s, 330.91/s) LR: 4.929e-04 +2023-08-03 00:58:10,538 - train: [ INFO] - Train: 79 [ 64/65 (100%)] Loss: 0.015255 (0.0136) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.89/s (0.357s, 335.78/s) LR: 4.929e-04 +2023-08-03 00:58:11,459 - train: [ INFO] - Test: [ 0/7] Time: 0.785 (0.785) Loss: 1.0306 (1.0306) Acc@1: 74.1667 (74.1667)Acc@5: 90.0000 (90.0000) + +2023-08-03 00:58:13,024 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.294) Loss: 1.5338 (1.0466) Acc@1: 70.0000 (74.9425)Acc@5: 80.0000 (90.3448) + +2023-08-03 00:58:14,815 - train: [ INFO] - Train: 80 [ 0/65 (100%)] Loss: 0.018227 (0.0182) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.505s, 79.71/s (1.505s, 79.71/s) LR: 4.907e-04 +2023-08-03 00:58:31,873 - train: [ INFO] - Train: 80 [ 50/65 (100%)] Loss: 0.012430 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.31/s (0.364s, 329.72/s) LR: 4.907e-04 +2023-08-03 00:58:36,651 - train: [ INFO] - Train: 80 [ 64/65 (100%)] Loss: 0.011849 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.80/s (0.359s, 334.21/s) LR: 4.907e-04 +2023-08-03 00:58:37,642 - train: [ INFO] - Test: [ 0/7] Time: 0.837 (0.837) Loss: 1.0981 (1.0981) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-03 00:58:39,217 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.301) Loss: 1.0527 (1.0568) Acc@1: 70.0000 (75.0575)Acc@5: 93.3333 (90.3448) + +2023-08-03 00:58:40,970 - train: [ INFO] - Train: 81 [ 0/65 (100%)] Loss: 0.011657 (0.0117) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.484s, 80.89/s (1.484s, 80.89/s) LR: 4.884e-04 +2023-08-03 00:58:57,917 - train: [ INFO] - Train: 81 [ 50/65 (100%)] Loss: 0.011850 (0.0126) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.95/s (0.361s, 332.08/s) LR: 4.884e-04 +2023-08-03 00:59:02,697 - train: [ INFO] - Train: 81 [ 64/65 (100%)] Loss: 0.012108 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.64/s (0.357s, 336.09/s) LR: 4.884e-04 +2023-08-03 00:59:03,689 - train: [ INFO] - Test: [ 0/7] Time: 0.818 (0.818) Loss: 0.9367 (0.9367) Acc@1: 77.5000 (77.5000)Acc@5: 89.1667 (89.1667) + +2023-08-03 00:59:05,266 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.299) Loss: 1.1094 (1.0663) Acc@1: 70.0000 (74.8276)Acc@5: 86.6667 (88.7356) + +2023-08-03 00:59:06,997 - train: [ INFO] - Train: 82 [ 0/65 (100%)] Loss: 0.010907 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.477s, 81.26/s (1.477s, 81.26/s) LR: 4.861e-04 +2023-08-03 00:59:24,036 - train: [ INFO] - Train: 82 [ 50/65 (100%)] Loss: 0.012412 (0.0119) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.23/s (0.363s, 330.56/s) LR: 4.861e-04 +2023-08-03 00:59:28,763 - train: [ INFO] - Train: 82 [ 64/65 (100%)] Loss: 0.011183 (0.0120) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.05/s (0.358s, 335.62/s) LR: 4.861e-04 +2023-08-03 00:59:29,688 - train: [ INFO] - Test: [ 0/7] Time: 0.784 (0.784) Loss: 0.8824 (0.8824) Acc@1: 81.6667 (81.6667)Acc@5: 92.5000 (92.5000) + +2023-08-03 00:59:31,237 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.292) Loss: 0.6614 (1.0179) Acc@1: 86.6667 (75.6322)Acc@5: 96.6667 (89.6552) + +2023-08-03 00:59:31,523 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-82.pth.tar', 75.63218794197871) + +2023-08-03 00:59:33,037 - train: [ INFO] - Train: 83 [ 0/65 (100%)] Loss: 0.012141 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.500s, 80.02/s (1.500s, 80.02/s) LR: 4.838e-04 +2023-08-03 00:59:50,063 - train: [ INFO] - Train: 83 [ 50/65 (100%)] Loss: 0.010422 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.35/s (0.363s, 330.38/s) LR: 4.838e-04 +2023-08-03 00:59:54,815 - train: [ INFO] - Train: 83 [ 64/65 (100%)] Loss: 0.010201 (0.0114) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.21/s (0.358s, 335.12/s) LR: 4.838e-04 +2023-08-03 00:59:55,799 - train: [ INFO] - Test: [ 0/7] Time: 0.822 (0.822) Loss: 1.3111 (1.3111) Acc@1: 70.8333 (70.8333)Acc@5: 87.5000 (87.5000) + +2023-08-03 00:59:57,314 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.292) Loss: 1.3804 (1.0150) Acc@1: 70.0000 (76.3218)Acc@5: 90.0000 (90.0000) + +2023-08-03 00:59:57,588 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-83.pth.tar', 76.32184364055765) + +2023-08-03 00:59:59,068 - train: [ INFO] - Train: 84 [ 0/65 (100%)] Loss: 0.011049 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.465s, 81.90/s (1.465s, 81.90/s) LR: 4.815e-04 +2023-08-03 01:00:15,971 - train: [ INFO] - Train: 84 [ 50/65 (100%)] Loss: 0.030761 (0.0117) Acc@1: 99.1667 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.04/s (0.360s, 333.20/s) LR: 4.815e-04 +2023-08-03 01:00:20,754 - train: [ INFO] - Train: 84 [ 64/65 (100%)] Loss: 0.010188 (0.0119) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.72/s (0.356s, 336.94/s) LR: 4.815e-04 +2023-08-03 01:00:21,750 - train: [ INFO] - Test: [ 0/7] Time: 0.827 (0.827) Loss: 0.8611 (0.8611) Acc@1: 78.3333 (78.3333)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:00:23,328 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.301) Loss: 1.1923 (1.0652) Acc@1: 73.3333 (75.1724)Acc@5: 83.3333 (89.7701) + +2023-08-03 01:00:25,036 - train: [ INFO] - Train: 85 [ 0/65 (100%)] Loss: 0.010366 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.465s, 81.93/s (1.465s, 81.93/s) LR: 4.792e-04 +2023-08-03 01:00:42,016 - train: [ INFO] - Train: 85 [ 50/65 (100%)] Loss: 0.011185 (0.0117) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.38/s (0.362s, 331.82/s) LR: 4.792e-04 +2023-08-03 01:00:46,748 - train: [ INFO] - Train: 85 [ 64/65 (100%)] Loss: 0.014135 (0.0116) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.97/s (0.357s, 336.57/s) LR: 4.792e-04 +2023-08-03 01:00:47,697 - train: [ INFO] - Test: [ 0/7] Time: 0.814 (0.814) Loss: 1.2246 (1.2246) Acc@1: 74.1667 (74.1667)Acc@5: 87.5000 (87.5000) + +2023-08-03 01:00:49,232 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.294) Loss: 0.2249 (1.0069) Acc@1: 96.6667 (75.7471)Acc@5: 100.0000 (90.5747) + +2023-08-03 01:00:50,998 - train: [ INFO] - Train: 86 [ 0/65 (100%)] Loss: 0.010794 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.500s, 80.01/s (1.500s, 80.01/s) LR: 4.768e-04 +2023-08-03 01:01:08,040 - train: [ INFO] - Train: 86 [ 50/65 (100%)] Loss: 0.011584 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.97/s (0.364s, 330.08/s) LR: 4.768e-04 +2023-08-03 01:01:12,761 - train: [ INFO] - Train: 86 [ 64/65 (100%)] Loss: 0.012759 (0.0107) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 359.21/s (0.358s, 335.32/s) LR: 4.768e-04 +2023-08-03 01:01:13,760 - train: [ INFO] - Test: [ 0/7] Time: 0.812 (0.812) Loss: 0.9110 (0.9110) Acc@1: 75.0000 (75.0000)Acc@5: 95.0000 (95.0000) + +2023-08-03 01:01:15,290 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.293) Loss: 1.3268 (1.0206) Acc@1: 73.3333 (75.0575)Acc@5: 86.6667 (89.6552) + +2023-08-03 01:01:17,143 - train: [ INFO] - Train: 87 [ 0/65 (100%)] Loss: 0.010877 (0.0109) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.604s, 74.80/s (1.604s, 74.80/s) LR: 4.745e-04 +2023-08-03 01:01:34,096 - train: [ INFO] - Train: 87 [ 50/65 (100%)] Loss: 0.010132 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.47/s (0.364s, 329.81/s) LR: 4.745e-04 +2023-08-03 01:01:38,868 - train: [ INFO] - Train: 87 [ 64/65 (100%)] Loss: 0.009099 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.95/s (0.359s, 334.38/s) LR: 4.745e-04 +2023-08-03 01:01:39,784 - train: [ INFO] - Test: [ 0/7] Time: 0.803 (0.803) Loss: 0.9272 (0.9272) Acc@1: 76.6667 (76.6667)Acc@5: 96.6667 (96.6667) + +2023-08-03 01:01:41,376 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.299) Loss: 1.4779 (1.0240) Acc@1: 70.0000 (75.0575)Acc@5: 83.3333 (89.8851) + +2023-08-03 01:01:43,088 - train: [ INFO] - Train: 88 [ 0/65 (100%)] Loss: 0.009980 (0.0100) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.458s, 82.28/s (1.458s, 82.28/s) LR: 4.721e-04 +2023-08-03 01:02:00,047 - train: [ INFO] - Train: 88 [ 50/65 (100%)] Loss: 0.013285 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.24/s (0.361s, 332.32/s) LR: 4.721e-04 +2023-08-03 01:02:04,800 - train: [ INFO] - Train: 88 [ 64/65 (100%)] Loss: 0.009847 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.19/s (0.356s, 336.67/s) LR: 4.721e-04 +2023-08-03 01:02:05,773 - train: [ INFO] - Test: [ 0/7] Time: 0.821 (0.821) Loss: 1.0510 (1.0510) Acc@1: 76.6667 (76.6667)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:02:07,254 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.288) Loss: 1.5669 (1.0435) Acc@1: 60.0000 (75.7471)Acc@5: 86.6667 (89.7701) + +2023-08-03 01:02:09,010 - train: [ INFO] - Train: 89 [ 0/65 (100%)] Loss: 0.009484 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.501s, 79.96/s (1.501s, 79.96/s) LR: 4.697e-04 +2023-08-03 01:02:25,980 - train: [ INFO] - Train: 89 [ 50/65 (100%)] Loss: 0.009033 (0.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 358.76/s (0.362s, 331.36/s) LR: 4.697e-04 +2023-08-03 01:02:30,683 - train: [ INFO] - Train: 89 [ 64/65 (100%)] Loss: 0.009302 (0.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.97/s (0.356s, 336.62/s) LR: 4.697e-04 +2023-08-03 01:02:31,623 - train: [ INFO] - Test: [ 0/7] Time: 0.810 (0.810) Loss: 1.4157 (1.4157) Acc@1: 69.1667 (69.1667)Acc@5: 84.1667 (84.1667) + +2023-08-03 01:02:33,139 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.291) Loss: 0.9066 (1.0457) Acc@1: 80.0000 (75.9770)Acc@5: 90.0000 (89.3104) + +2023-08-03 01:02:34,875 - train: [ INFO] - Train: 90 [ 0/65 (100%)] Loss: 0.009254 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.431s, 83.83/s (1.431s, 83.83/s) LR: 4.672e-04 +2023-08-03 01:02:51,940 - train: [ INFO] - Train: 90 [ 50/65 (100%)] Loss: 0.008938 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.347s, 346.31/s (0.363s, 330.91/s) LR: 4.672e-04 +2023-08-03 01:02:56,725 - train: [ INFO] - Train: 90 [ 64/65 (100%)] Loss: 0.009752 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.88/s (0.358s, 335.07/s) LR: 4.672e-04 +2023-08-03 01:02:57,703 - train: [ INFO] - Test: [ 0/7] Time: 0.837 (0.837) Loss: 1.1405 (1.1405) Acc@1: 75.8333 (75.8333)Acc@5: 85.0000 (85.0000) + +2023-08-03 01:02:59,280 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.302) Loss: 0.8778 (1.0268) Acc@1: 76.6667 (76.5517)Acc@5: 93.3333 (89.4253) + +2023-08-03 01:02:59,548 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-90.pth.tar', 76.55172782108701) + +2023-08-03 01:03:01,056 - train: [ INFO] - Train: 91 [ 0/65 (100%)] Loss: 0.009269 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.489s, 80.61/s (1.489s, 80.61/s) LR: 4.648e-04 +2023-08-03 01:03:18,005 - train: [ INFO] - Train: 91 [ 50/65 (100%)] Loss: 0.008997 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.63/s (0.361s, 331.95/s) LR: 4.648e-04 +2023-08-03 01:03:22,773 - train: [ INFO] - Train: 91 [ 64/65 (100%)] Loss: 0.009870 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.49/s (0.357s, 336.15/s) LR: 4.648e-04 +2023-08-03 01:03:23,717 - train: [ INFO] - Test: [ 0/7] Time: 0.807 (0.807) Loss: 1.1895 (1.1895) Acc@1: 69.1667 (69.1667)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:03:25,320 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.301) Loss: 1.2850 (1.0695) Acc@1: 73.3333 (74.9425)Acc@5: 90.0000 (89.1954) + +2023-08-03 01:03:27,048 - train: [ INFO] - Train: 92 [ 0/65 (100%)] Loss: 0.013067 (0.0131) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.455s, 82.47/s (1.455s, 82.47/s) LR: 4.623e-04 +2023-08-03 01:03:44,027 - train: [ INFO] - Train: 92 [ 50/65 (100%)] Loss: 0.009404 (0.0104) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.09/s (0.361s, 332.03/s) LR: 4.623e-04 +2023-08-03 01:03:48,792 - train: [ INFO] - Train: 92 [ 64/65 (100%)] Loss: 0.009676 (0.0103) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.40/s (0.357s, 336.25/s) LR: 4.623e-04 +2023-08-03 01:03:49,750 - train: [ INFO] - Test: [ 0/7] Time: 0.804 (0.804) Loss: 0.7948 (0.7948) Acc@1: 77.5000 (77.5000)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:03:51,394 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.306) Loss: 1.0811 (1.0604) Acc@1: 73.3333 (74.9425)Acc@5: 90.0000 (89.6552) + +2023-08-03 01:03:53,175 - train: [ INFO] - Train: 93 [ 0/65 (100%)] Loss: 0.008796 (0.0088) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.517s, 79.10/s (1.517s, 79.10/s) LR: 4.598e-04 +2023-08-03 01:04:10,100 - train: [ INFO] - Train: 93 [ 50/65 (100%)] Loss: 0.009635 (0.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.34/s (0.362s, 331.88/s) LR: 4.598e-04 +2023-08-03 01:04:14,881 - train: [ INFO] - Train: 93 [ 64/65 (100%)] Loss: 0.011237 (0.0098) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.22/s (0.357s, 335.91/s) LR: 4.598e-04 +2023-08-03 01:04:15,806 - train: [ INFO] - Test: [ 0/7] Time: 0.791 (0.791) Loss: 0.8793 (0.8793) Acc@1: 75.8333 (75.8333)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:04:17,395 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.297) Loss: 1.1780 (1.0326) Acc@1: 73.3333 (75.7471)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:04:19,108 - train: [ INFO] - Train: 94 [ 0/65 (100%)] Loss: 0.008992 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.471s, 81.58/s (1.471s, 81.58/s) LR: 4.573e-04 +2023-08-03 01:04:36,132 - train: [ INFO] - Train: 94 [ 50/65 (100%)] Loss: 0.008959 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 359.04/s (0.363s, 330.92/s) LR: 4.573e-04 +2023-08-03 01:04:40,872 - train: [ INFO] - Train: 94 [ 64/65 (100%)] Loss: 0.010631 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.01/s (0.357s, 335.73/s) LR: 4.573e-04 +2023-08-03 01:04:41,804 - train: [ INFO] - Test: [ 0/7] Time: 0.793 (0.793) Loss: 0.8890 (0.8890) Acc@1: 80.0000 (80.0000)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:04:43,372 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.295) Loss: 1.1273 (1.0503) Acc@1: 70.0000 (74.4828)Acc@5: 90.0000 (89.3103) + +2023-08-03 01:04:45,121 - train: [ INFO] - Train: 95 [ 0/65 (100%)] Loss: 0.008817 (0.0088) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.479s, 81.13/s (1.479s, 81.13/s) LR: 4.548e-04 +2023-08-03 01:05:02,075 - train: [ INFO] - Train: 95 [ 50/65 (100%)] Loss: 0.009667 (0.0088) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.65/s (0.361s, 332.04/s) LR: 4.548e-04 +2023-08-03 01:05:06,853 - train: [ INFO] - Train: 95 [ 64/65 (100%)] Loss: 0.009250 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.40/s (0.357s, 336.08/s) LR: 4.548e-04 +2023-08-03 01:05:07,839 - train: [ INFO] - Test: [ 0/7] Time: 0.847 (0.847) Loss: 0.9363 (0.9363) Acc@1: 77.5000 (77.5000)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:05:09,471 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.310) Loss: 1.5163 (1.0440) Acc@1: 60.0000 (75.1724)Acc@5: 83.3333 (90.8046) + +2023-08-03 01:05:11,206 - train: [ INFO] - Train: 96 [ 0/65 (100%)] Loss: 0.009577 (0.0096) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.481s, 81.03/s (1.481s, 81.03/s) LR: 4.523e-04 +2023-08-03 01:05:28,189 - train: [ INFO] - Train: 96 [ 50/65 (100%)] Loss: 0.008411 (0.0092) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.07/s (0.362s, 331.48/s) LR: 4.523e-04 +2023-08-03 01:05:32,960 - train: [ INFO] - Train: 96 [ 64/65 (100%)] Loss: 0.008366 (0.0091) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.52/s (0.357s, 335.74/s) LR: 4.523e-04 +2023-08-03 01:05:33,908 - train: [ INFO] - Test: [ 0/7] Time: 0.787 (0.787) Loss: 0.9354 (0.9354) Acc@1: 79.1667 (79.1667)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:05:35,495 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.297) Loss: 0.4353 (1.0400) Acc@1: 80.0000 (75.4023)Acc@5: 100.0000 (89.8851) + +2023-08-03 01:05:37,156 - train: [ INFO] - Train: 97 [ 0/65 (100%)] Loss: 0.008283 (0.0083) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.384s, 86.72/s (1.384s, 86.72/s) LR: 4.497e-04 +2023-08-03 01:05:54,253 - train: [ INFO] - Train: 97 [ 50/65 (100%)] Loss: 0.009136 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.51/s (0.362s, 331.18/s) LR: 4.497e-04 +2023-08-03 01:05:59,013 - train: [ INFO] - Train: 97 [ 64/65 (100%)] Loss: 0.007706 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.32/s (0.358s, 335.65/s) LR: 4.497e-04 +2023-08-03 01:06:00,014 - train: [ INFO] - Test: [ 0/7] Time: 0.838 (0.838) Loss: 1.0019 (1.0019) Acc@1: 76.6667 (76.6667)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:06:01,590 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.302) Loss: 1.7713 (1.0657) Acc@1: 56.6667 (74.9425)Acc@5: 80.0000 (89.0805) + +2023-08-03 01:06:03,301 - train: [ INFO] - Train: 98 [ 0/65 (100%)] Loss: 0.010122 (0.0101) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.422s, 84.37/s (1.422s, 84.37/s) LR: 4.471e-04 +2023-08-03 01:06:20,213 - train: [ INFO] - Train: 98 [ 50/65 (100%)] Loss: 0.007756 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.07/s (0.359s, 333.83/s) LR: 4.471e-04 +2023-08-03 01:06:25,005 - train: [ INFO] - Train: 98 [ 64/65 (100%)] Loss: 0.008901 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.65/s (0.356s, 337.31/s) LR: 4.471e-04 +2023-08-03 01:06:25,980 - train: [ INFO] - Test: [ 0/7] Time: 0.815 (0.815) Loss: 1.1894 (1.1894) Acc@1: 71.6667 (71.6667)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:06:27,552 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.298) Loss: 1.5287 (1.0028) Acc@1: 70.0000 (75.5172)Acc@5: 86.6667 (90.2299) + +2023-08-03 01:06:29,304 - train: [ INFO] - Train: 99 [ 0/65 (100%)] Loss: 0.007971 (0.0080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.503s, 79.85/s (1.503s, 79.85/s) LR: 4.446e-04 +2023-08-03 01:06:46,283 - train: [ INFO] - Train: 99 [ 50/65 (100%)] Loss: 0.007785 (0.0084) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.84/s (0.362s, 331.17/s) LR: 4.446e-04 +2023-08-03 01:06:51,012 - train: [ INFO] - Train: 99 [ 64/65 (100%)] Loss: 0.008631 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.93/s (0.357s, 336.09/s) LR: 4.446e-04 +2023-08-03 01:06:51,979 - train: [ INFO] - Test: [ 0/7] Time: 0.812 (0.812) Loss: 0.7132 (0.7132) Acc@1: 85.8333 (85.8333)Acc@5: 95.0000 (95.0000) + +2023-08-03 01:06:53,527 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.295) Loss: 0.8999 (1.0426) Acc@1: 76.6667 (75.8621)Acc@5: 90.0000 (89.8851) + +2023-08-03 01:06:55,240 - train: [ INFO] - Train: 100 [ 0/65 (100%)] Loss: 0.008357 (0.0084) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.451s, 82.73/s (1.451s, 82.73/s) LR: 4.420e-04 +2023-08-03 01:07:12,372 - train: [ INFO] - Train: 100 [ 50/65 (100%)] Loss: 0.009120 (0.0089) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.97/s (0.364s, 329.39/s) LR: 4.420e-04 +2023-08-03 01:07:17,171 - train: [ INFO] - Train: 100 [ 64/65 (100%)] Loss: 0.007874 (0.0087) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.71/s (0.360s, 333.65/s) LR: 4.420e-04 +2023-08-03 01:07:18,098 - train: [ INFO] - Test: [ 0/7] Time: 0.777 (0.777) Loss: 0.9802 (0.9802) Acc@1: 75.0000 (75.0000)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:07:19,689 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.296) Loss: 2.7111 (1.0295) Acc@1: 53.3333 (75.2874)Acc@5: 73.3333 (89.8851) + +2023-08-03 01:07:21,484 - train: [ INFO] - Train: 101 [ 0/65 (100%)] Loss: 0.008621 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.509s, 79.55/s (1.509s, 79.55/s) LR: 4.393e-04 +2023-08-03 01:07:38,460 - train: [ INFO] - Train: 101 [ 50/65 (100%)] Loss: 0.007724 (0.0087) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.50/s (0.362s, 331.12/s) LR: 4.393e-04 +2023-08-03 01:07:43,252 - train: [ INFO] - Train: 101 [ 64/65 (100%)] Loss: 0.008519 (0.0088) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.92/s (0.358s, 335.13/s) LR: 4.393e-04 +2023-08-03 01:07:44,232 - train: [ INFO] - Test: [ 0/7] Time: 0.826 (0.826) Loss: 1.2148 (1.2148) Acc@1: 70.0000 (70.0000)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:07:45,786 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 1.1362 (1.0557) Acc@1: 73.3333 (75.2874)Acc@5: 86.6667 (90.4598) + +2023-08-03 01:07:47,564 - train: [ INFO] - Train: 102 [ 0/65 (100%)] Loss: 0.013852 (0.0139) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.503s, 79.82/s (1.503s, 79.82/s) LR: 4.367e-04 +2023-08-03 01:08:04,577 - train: [ INFO] - Train: 102 [ 50/65 (100%)] Loss: 0.008805 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 359.00/s (0.363s, 330.55/s) LR: 4.367e-04 +2023-08-03 01:08:09,272 - train: [ INFO] - Train: 102 [ 64/65 (100%)] Loss: 0.007751 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.29/s (0.357s, 336.07/s) LR: 4.367e-04 +2023-08-03 01:08:10,273 - train: [ INFO] - Test: [ 0/7] Time: 0.826 (0.826) Loss: 1.4084 (1.4084) Acc@1: 65.8333 (65.8333)Acc@5: 85.0000 (85.0000) + +2023-08-03 01:08:11,804 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.295) Loss: 0.7112 (1.0460) Acc@1: 90.0000 (75.5172)Acc@5: 90.0000 (89.0805) + +2023-08-03 01:08:13,607 - train: [ INFO] - Train: 103 [ 0/65 (100%)] Loss: 0.008099 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.81/s (1.504s, 79.81/s) LR: 4.340e-04 +2023-08-03 01:08:30,726 - train: [ INFO] - Train: 103 [ 50/65 (100%)] Loss: 0.012202 (0.0091) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.28/s (0.365s, 328.65/s) LR: 4.340e-04 +2023-08-03 01:08:35,522 - train: [ INFO] - Train: 103 [ 64/65 (100%)] Loss: 0.009490 (0.0092) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.346s, 347.04/s (0.360s, 333.09/s) LR: 4.340e-04 +2023-08-03 01:08:36,473 - train: [ INFO] - Test: [ 0/7] Time: 0.798 (0.798) Loss: 1.0731 (1.0731) Acc@1: 75.8333 (75.8333)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:08:38,020 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.293) Loss: 0.6910 (1.0251) Acc@1: 80.0000 (76.2069)Acc@5: 93.3333 (90.0000) + +2023-08-03 01:08:39,811 - train: [ INFO] - Train: 104 [ 0/65 (100%)] Loss: 0.013005 (0.0130) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.486s, 80.75/s (1.486s, 80.75/s) LR: 4.314e-04 +2023-08-03 01:08:56,731 - train: [ INFO] - Train: 104 [ 50/65 (100%)] Loss: 0.008024 (0.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.81/s (0.361s, 332.52/s) LR: 4.314e-04 +2023-08-03 01:09:01,519 - train: [ INFO] - Train: 104 [ 64/65 (100%)] Loss: 0.010125 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.54/s (0.357s, 336.33/s) LR: 4.314e-04 +2023-08-03 01:09:02,484 - train: [ INFO] - Test: [ 0/7] Time: 0.818 (0.818) Loss: 1.2538 (1.2538) Acc@1: 72.5000 (72.5000)Acc@5: 87.5000 (87.5000) + +2023-08-03 01:09:04,071 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.301) Loss: 1.3266 (1.0543) Acc@1: 70.0000 (74.5977)Acc@5: 76.6667 (89.8851) + +2023-08-03 01:09:05,791 - train: [ INFO] - Train: 105 [ 0/65 (100%)] Loss: 0.010196 (0.0102) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.437s, 83.50/s (1.437s, 83.50/s) LR: 4.287e-04 +2023-08-03 01:09:22,726 - train: [ INFO] - Train: 105 [ 50/65 (100%)] Loss: 0.020288 (0.0195) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.27/s (0.360s, 333.15/s) LR: 4.287e-04 +2023-08-03 01:09:27,462 - train: [ INFO] - Train: 105 [ 64/65 (100%)] Loss: 0.051170 (0.0269) Acc@1: 100.0000 (99.8205) Acc@5: 100.0000 (99.9872) Time: 0.336s, 356.68/s (0.355s, 337.58/s) LR: 4.287e-04 +2023-08-03 01:09:28,466 - train: [ INFO] - Test: [ 0/7] Time: 0.836 (0.836) Loss: 1.6792 (1.6792) Acc@1: 62.5000 (62.5000)Acc@5: 80.8333 (80.8333) + +2023-08-03 01:09:29,991 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.295) Loss: 1.4943 (1.4595) Acc@1: 66.6667 (66.4368)Acc@5: 80.0000 (84.2529) + +2023-08-03 01:09:31,767 - train: [ INFO] - Train: 106 [ 0/65 (100%)] Loss: 0.061420 (0.0614) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.508s, 79.58/s (1.508s, 79.58/s) LR: 4.260e-04 +2023-08-03 01:09:48,839 - train: [ INFO] - Train: 106 [ 50/65 (100%)] Loss: 0.322301 (0.2502) Acc@1: 93.3333 (96.8628) Acc@5: 100.0000 (99.7876) Time: 0.342s, 351.13/s (0.364s, 329.42/s) LR: 4.260e-04 +2023-08-03 01:09:53,623 - train: [ INFO] - Train: 106 [ 64/65 (100%)] Loss: 0.295532 (0.2563) Acc@1: 96.6667 (96.8590) Acc@5: 100.0000 (99.7692) Time: 0.340s, 352.66/s (0.359s, 333.89/s) LR: 4.260e-04 +2023-08-03 01:09:54,589 - train: [ INFO] - Test: [ 0/7] Time: 0.837 (0.837) Loss: 1.3641 (1.3641) Acc@1: 70.8333 (70.8333)Acc@5: 84.1667 (84.1667) + +2023-08-03 01:09:56,162 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.301) Loss: 2.1015 (1.5693) Acc@1: 56.6667 (65.5172)Acc@5: 76.6667 (83.2184) + +2023-08-03 01:09:57,906 - train: [ INFO] - Train: 107 [ 0/65 (100%)] Loss: 0.189179 (0.1892) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.501s, 79.94/s (1.501s, 79.94/s) LR: 4.233e-04 +2023-08-03 01:10:14,814 - train: [ INFO] - Train: 107 [ 50/65 (100%)] Loss: 0.139404 (0.1639) Acc@1: 99.1667 (98.3660) Acc@5: 100.0000 (99.9346) Time: 0.337s, 356.16/s (0.361s, 332.45/s) LR: 4.233e-04 +2023-08-03 01:10:19,585 - train: [ INFO] - Train: 107 [ 64/65 (100%)] Loss: 0.068372 (0.1466) Acc@1: 100.0000 (98.6539) Acc@5: 100.0000 (99.9487) Time: 0.339s, 354.23/s (0.357s, 336.52/s) LR: 4.233e-04 +2023-08-03 01:10:20,559 - train: [ INFO] - Test: [ 0/7] Time: 0.840 (0.840) Loss: 1.0639 (1.0639) Acc@1: 72.5000 (72.5000)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:10:22,158 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.305) Loss: 1.0817 (1.3958) Acc@1: 66.6667 (68.9655)Acc@5: 93.3333 (86.5517) + +2023-08-03 01:10:23,962 - train: [ INFO] - Train: 108 [ 0/65 (100%)] Loss: 0.048185 (0.0482) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.509s, 79.52/s (1.509s, 79.52/s) LR: 4.206e-04 +2023-08-03 01:10:40,975 - train: [ INFO] - Train: 108 [ 50/65 (100%)] Loss: 0.029933 (0.0460) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.53/s (0.363s, 330.43/s) LR: 4.206e-04 +2023-08-03 01:10:45,710 - train: [ INFO] - Train: 108 [ 64/65 (100%)] Loss: 0.032073 (0.0426) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.24/s (0.358s, 335.41/s) LR: 4.206e-04 +2023-08-03 01:10:46,755 - train: [ INFO] - Test: [ 0/7] Time: 0.856 (0.856) Loss: 1.1352 (1.1352) Acc@1: 70.8333 (70.8333)Acc@5: 94.1667 (94.1667) + +2023-08-03 01:10:48,251 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.294) Loss: 0.8458 (1.1156) Acc@1: 73.3333 (72.6437)Acc@5: 93.3333 (91.1494) + +2023-08-03 01:10:49,990 - train: [ INFO] - Train: 109 [ 0/65 (100%)] Loss: 0.032016 (0.0320) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.469s, 81.70/s (1.469s, 81.70/s) LR: 4.178e-04 +2023-08-03 01:11:06,995 - train: [ INFO] - Train: 109 [ 50/65 (100%)] Loss: 0.021729 (0.0265) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.49/s (0.362s, 331.31/s) LR: 4.178e-04 +2023-08-03 01:11:11,749 - train: [ INFO] - Train: 109 [ 64/65 (100%)] Loss: 0.020137 (0.0254) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.69/s (0.357s, 335.84/s) LR: 4.178e-04 +2023-08-03 01:11:12,712 - train: [ INFO] - Test: [ 0/7] Time: 0.816 (0.816) Loss: 1.0412 (1.0412) Acc@1: 70.8333 (70.8333)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:11:14,281 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.298) Loss: 1.6327 (1.1133) Acc@1: 73.3333 (72.8736)Acc@5: 86.6667 (90.4598) + +2023-08-03 01:11:16,010 - train: [ INFO] - Train: 110 [ 0/65 (100%)] Loss: 0.018128 (0.0181) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.467s, 81.77/s (1.467s, 81.77/s) LR: 4.151e-04 +2023-08-03 01:11:32,952 - train: [ INFO] - Train: 110 [ 50/65 (100%)] Loss: 0.015633 (0.0195) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.81/s (0.361s, 332.47/s) LR: 4.151e-04 +2023-08-03 01:11:37,712 - train: [ INFO] - Train: 110 [ 64/65 (100%)] Loss: 0.018257 (0.0188) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.00/s (0.356s, 336.67/s) LR: 4.151e-04 +2023-08-03 01:11:38,661 - train: [ INFO] - Test: [ 0/7] Time: 0.792 (0.792) Loss: 1.4031 (1.4031) Acc@1: 67.5000 (67.5000)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:11:40,266 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.300) Loss: 0.7475 (1.0966) Acc@1: 80.0000 (73.3333)Acc@5: 96.6667 (90.2299) + +2023-08-03 01:11:42,020 - train: [ INFO] - Train: 111 [ 0/65 (100%)] Loss: 0.015899 (0.0159) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.472s, 81.53/s (1.472s, 81.53/s) LR: 4.123e-04 +2023-08-03 01:11:59,062 - train: [ INFO] - Train: 111 [ 50/65 (100%)] Loss: 0.016114 (0.0176) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.60/s (0.363s, 330.59/s) LR: 4.123e-04 +2023-08-03 01:12:03,796 - train: [ INFO] - Train: 111 [ 64/65 (100%)] Loss: 0.016533 (0.0175) Acc@1: 100.0000 (99.9615) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.30/s (0.358s, 335.54/s) LR: 4.123e-04 +2023-08-03 01:12:04,779 - train: [ INFO] - Test: [ 0/7] Time: 0.848 (0.848) Loss: 1.1600 (1.1600) Acc@1: 78.3333 (78.3333)Acc@5: 93.3333 (93.3333) + +2023-08-03 01:12:06,385 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.307) Loss: 1.4013 (1.0925) Acc@1: 66.6667 (73.5632)Acc@5: 83.3333 (90.6897) + +2023-08-03 01:12:08,140 - train: [ INFO] - Train: 112 [ 0/65 (100%)] Loss: 0.017832 (0.0178) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.80/s (1.504s, 79.80/s) LR: 4.096e-04 +2023-08-03 01:12:25,111 - train: [ INFO] - Train: 112 [ 50/65 (100%)] Loss: 0.013921 (0.0154) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.83/s (0.362s, 331.29/s) LR: 4.096e-04 +2023-08-03 01:12:29,862 - train: [ INFO] - Train: 112 [ 64/65 (100%)] Loss: 0.013341 (0.0152) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.08/s (0.357s, 335.87/s) LR: 4.096e-04 +2023-08-03 01:12:30,783 - train: [ INFO] - Test: [ 0/7] Time: 0.786 (0.786) Loss: 1.1644 (1.1644) Acc@1: 67.5000 (67.5000)Acc@5: 87.5000 (87.5000) + +2023-08-03 01:12:32,386 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.299) Loss: 1.4164 (1.0460) Acc@1: 63.3333 (75.2874)Acc@5: 86.6667 (90.5747) + +2023-08-03 01:12:34,097 - train: [ INFO] - Train: 113 [ 0/65 (100%)] Loss: 0.014037 (0.0140) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.431s, 83.84/s (1.431s, 83.84/s) LR: 4.068e-04 +2023-08-03 01:12:51,043 - train: [ INFO] - Train: 113 [ 50/65 (100%)] Loss: 0.012458 (0.0145) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.92/s (0.360s, 333.05/s) LR: 4.068e-04 +2023-08-03 01:12:55,764 - train: [ INFO] - Train: 113 [ 64/65 (100%)] Loss: 0.011801 (0.0143) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.72/s (0.355s, 337.71/s) LR: 4.068e-04 +2023-08-03 01:12:56,716 - train: [ INFO] - Test: [ 0/7] Time: 0.794 (0.794) Loss: 0.8813 (0.8813) Acc@1: 78.3333 (78.3333)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:12:58,287 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.296) Loss: 1.3095 (1.0582) Acc@1: 60.0000 (74.7126)Acc@5: 93.3333 (90.3448) + +2023-08-03 01:13:00,055 - train: [ INFO] - Train: 114 [ 0/65 (100%)] Loss: 0.014825 (0.0148) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.461s, 82.12/s (1.461s, 82.12/s) LR: 4.040e-04 +2023-08-03 01:13:17,066 - train: [ INFO] - Train: 114 [ 50/65 (100%)] Loss: 0.012746 (0.0134) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.10/s (0.362s, 331.34/s) LR: 4.040e-04 +2023-08-03 01:13:21,858 - train: [ INFO] - Train: 114 [ 64/65 (100%)] Loss: 0.013858 (0.0135) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.95/s (0.358s, 335.31/s) LR: 4.040e-04 +2023-08-03 01:13:22,837 - train: [ INFO] - Test: [ 0/7] Time: 0.803 (0.803) Loss: 0.9921 (0.9921) Acc@1: 80.8333 (80.8333)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:13:24,338 - train: [ INFO] - Test: [ 7/7] Time: 0.036 (0.288) Loss: 0.9509 (1.0599) Acc@1: 80.0000 (74.7126)Acc@5: 90.0000 (89.7701) + +2023-08-03 01:13:26,147 - train: [ INFO] - Train: 115 [ 0/65 (100%)] Loss: 0.015040 (0.0150) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.525s, 78.68/s (1.525s, 78.68/s) LR: 4.012e-04 +2023-08-03 01:13:43,092 - train: [ INFO] - Train: 115 [ 50/65 (100%)] Loss: 0.014347 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.26/s (0.362s, 331.38/s) LR: 4.012e-04 +2023-08-03 01:13:47,866 - train: [ INFO] - Train: 115 [ 64/65 (100%)] Loss: 0.012075 (0.0128) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.51/s (0.358s, 335.61/s) LR: 4.012e-04 +2023-08-03 01:13:48,836 - train: [ INFO] - Test: [ 0/7] Time: 0.805 (0.805) Loss: 1.4720 (1.4720) Acc@1: 68.3333 (68.3333)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:13:50,459 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.304) Loss: 0.9859 (1.0434) Acc@1: 76.6667 (74.7126)Acc@5: 90.0000 (90.3448) + +2023-08-03 01:13:52,268 - train: [ INFO] - Train: 116 [ 0/65 (100%)] Loss: 0.011791 (0.0118) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.537s, 78.06/s (1.537s, 78.06/s) LR: 3.983e-04 +2023-08-03 01:14:09,238 - train: [ INFO] - Train: 116 [ 50/65 (100%)] Loss: 0.017878 (0.0124) Acc@1: 100.0000 (99.9837) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.50/s (0.363s, 330.71/s) LR: 3.983e-04 +2023-08-03 01:14:13,964 - train: [ INFO] - Train: 116 [ 64/65 (100%)] Loss: 0.012011 (0.0127) Acc@1: 100.0000 (99.9872) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.21/s (0.357s, 335.76/s) LR: 3.983e-04 +2023-08-03 01:14:14,958 - train: [ INFO] - Test: [ 0/7] Time: 0.836 (0.836) Loss: 0.9924 (0.9924) Acc@1: 75.0000 (75.0000)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:14:16,507 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 1.2886 (1.1298) Acc@1: 83.3333 (73.2184)Acc@5: 90.0000 (90.1149) + +2023-08-03 01:14:18,314 - train: [ INFO] - Train: 117 [ 0/65 (100%)] Loss: 0.016772 (0.0168) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.512s, 79.37/s (1.512s, 79.37/s) LR: 3.955e-04 +2023-08-03 01:14:35,359 - train: [ INFO] - Train: 117 [ 50/65 (100%)] Loss: 0.010472 (0.0127) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.23/s (0.364s, 329.82/s) LR: 3.955e-04 +2023-08-03 01:14:40,130 - train: [ INFO] - Train: 117 [ 64/65 (100%)] Loss: 0.011002 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.33/s (0.359s, 334.39/s) LR: 3.955e-04 +2023-08-03 01:14:41,073 - train: [ INFO] - Test: [ 0/7] Time: 0.807 (0.807) Loss: 0.8986 (0.8986) Acc@1: 76.6667 (76.6667)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:14:42,628 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.295) Loss: 0.9277 (1.0396) Acc@1: 63.3333 (74.9425)Acc@5: 96.6667 (90.2299) + +2023-08-03 01:14:44,417 - train: [ INFO] - Train: 118 [ 0/65 (100%)] Loss: 0.010844 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.537s, 78.05/s (1.537s, 78.05/s) LR: 3.927e-04 +2023-08-03 01:15:01,348 - train: [ INFO] - Train: 118 [ 50/65 (100%)] Loss: 0.010130 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.76/s (0.362s, 331.40/s) LR: 3.927e-04 +2023-08-03 01:15:06,113 - train: [ INFO] - Train: 118 [ 64/65 (100%)] Loss: 0.012956 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.83/s (0.357s, 335.75/s) LR: 3.927e-04 +2023-08-03 01:15:07,128 - train: [ INFO] - Test: [ 0/7] Time: 0.837 (0.837) Loss: 0.9804 (0.9804) Acc@1: 75.8333 (75.8333)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:15:08,745 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.307) Loss: 1.4857 (1.0413) Acc@1: 60.0000 (74.4828)Acc@5: 80.0000 (90.3448) + +2023-08-03 01:15:10,490 - train: [ INFO] - Train: 119 [ 0/65 (100%)] Loss: 0.011483 (0.0115) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.479s, 81.15/s (1.479s, 81.15/s) LR: 3.898e-04 +2023-08-03 01:15:27,505 - train: [ INFO] - Train: 119 [ 50/65 (100%)] Loss: 0.012313 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.98/s (0.363s, 330.94/s) LR: 3.898e-04 +2023-08-03 01:15:32,253 - train: [ INFO] - Train: 119 [ 64/65 (100%)] Loss: 0.011142 (0.0111) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 356.76/s (0.358s, 335.63/s) LR: 3.898e-04 +2023-08-03 01:15:33,246 - train: [ INFO] - Test: [ 0/7] Time: 0.816 (0.816) Loss: 1.1626 (1.1626) Acc@1: 77.5000 (77.5000)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:15:34,746 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.290) Loss: 1.2155 (1.0172) Acc@1: 70.0000 (75.2874)Acc@5: 90.0000 (90.5747) + +2023-08-03 01:15:36,506 - train: [ INFO] - Train: 120 [ 0/65 (100%)] Loss: 0.012064 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.78/s (1.504s, 79.78/s) LR: 3.870e-04 +2023-08-03 01:15:53,491 - train: [ INFO] - Train: 120 [ 50/65 (100%)] Loss: 0.011235 (0.0113) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.34/s (0.363s, 331.03/s) LR: 3.870e-04 +2023-08-03 01:15:58,288 - train: [ INFO] - Train: 120 [ 64/65 (100%)] Loss: 0.010419 (0.0112) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 347.45/s (0.358s, 334.99/s) LR: 3.870e-04 +2023-08-03 01:15:59,254 - train: [ INFO] - Test: [ 0/7] Time: 0.803 (0.803) Loss: 0.9097 (0.9097) Acc@1: 72.5000 (72.5000)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:16:00,829 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.297) Loss: 1.4835 (1.0272) Acc@1: 66.6667 (74.8276)Acc@5: 90.0000 (90.5747) + +2023-08-03 01:16:02,618 - train: [ INFO] - Train: 121 [ 0/65 (100%)] Loss: 0.010831 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.543s, 77.79/s (1.543s, 77.79/s) LR: 3.841e-04 +2023-08-03 01:16:19,565 - train: [ INFO] - Train: 121 [ 50/65 (100%)] Loss: 0.011285 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.99/s (0.363s, 331.03/s) LR: 3.841e-04 +2023-08-03 01:16:24,332 - train: [ INFO] - Train: 121 [ 64/65 (100%)] Loss: 0.011086 (0.0105) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.22/s (0.358s, 335.44/s) LR: 3.841e-04 +2023-08-03 01:16:25,270 - train: [ INFO] - Test: [ 0/7] Time: 0.805 (0.805) Loss: 1.1815 (1.1815) Acc@1: 74.1667 (74.1667)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:16:26,900 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.304) Loss: 0.7547 (1.0525) Acc@1: 73.3333 (75.5172)Acc@5: 93.3333 (90.0000) + +2023-08-03 01:16:28,691 - train: [ INFO] - Train: 122 [ 0/65 (100%)] Loss: 0.009537 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.500s, 80.03/s (1.500s, 80.03/s) LR: 3.812e-04 +2023-08-03 01:16:45,770 - train: [ INFO] - Train: 122 [ 50/65 (100%)] Loss: 0.009959 (0.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.36/s (0.364s, 329.44/s) LR: 3.812e-04 +2023-08-03 01:16:50,503 - train: [ INFO] - Train: 122 [ 64/65 (100%)] Loss: 0.010172 (0.0098) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.346s, 346.58/s (0.359s, 334.63/s) LR: 3.812e-04 +2023-08-03 01:16:51,465 - train: [ INFO] - Test: [ 0/7] Time: 0.798 (0.798) Loss: 0.7813 (0.7813) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:16:53,011 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.293) Loss: 0.6483 (1.0519) Acc@1: 80.0000 (75.7471)Acc@5: 93.3333 (89.5402) + +2023-08-03 01:16:54,826 - train: [ INFO] - Train: 123 [ 0/65 (100%)] Loss: 0.009682 (0.0097) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.530s, 78.43/s (1.530s, 78.43/s) LR: 3.783e-04 +2023-08-03 01:17:11,870 - train: [ INFO] - Train: 123 [ 50/65 (100%)] Loss: 0.009375 (0.0100) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.75/s (0.364s, 329.52/s) LR: 3.783e-04 +2023-08-03 01:17:16,643 - train: [ INFO] - Train: 123 [ 64/65 (100%)] Loss: 0.008775 (0.0099) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.71/s (0.359s, 334.13/s) LR: 3.783e-04 +2023-08-03 01:17:17,607 - train: [ INFO] - Test: [ 0/7] Time: 0.815 (0.815) Loss: 1.1633 (1.1633) Acc@1: 73.3333 (73.3333)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:17:19,269 - train: [ INFO] - Test: [ 7/7] Time: 0.037 (0.310) Loss: 0.6902 (1.1051) Acc@1: 76.6667 (73.5632)Acc@5: 96.6667 (88.9655) + +2023-08-03 01:17:21,077 - train: [ INFO] - Train: 124 [ 0/65 (100%)] Loss: 0.009154 (0.0092) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.509s, 79.50/s (1.509s, 79.50/s) LR: 3.754e-04 +2023-08-03 01:17:38,036 - train: [ INFO] - Train: 124 [ 50/65 (100%)] Loss: 0.010692 (0.0097) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.35/s (0.362s, 331.41/s) LR: 3.754e-04 +2023-08-03 01:17:42,780 - train: [ INFO] - Train: 124 [ 64/65 (100%)] Loss: 0.009340 (0.0097) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.89/s (0.357s, 336.07/s) LR: 3.754e-04 +2023-08-03 01:17:43,742 - train: [ INFO] - Test: [ 0/7] Time: 0.803 (0.803) Loss: 0.8675 (0.8675) Acc@1: 74.1667 (74.1667)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:17:45,335 - train: [ INFO] - Test: [ 7/7] Time: 0.036 (0.299) Loss: 0.8345 (1.0875) Acc@1: 70.0000 (74.5977)Acc@5: 96.6667 (88.1609) + +2023-08-03 01:17:47,082 - train: [ INFO] - Train: 125 [ 0/65 (100%)] Loss: 0.009580 (0.0096) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.477s, 81.22/s (1.477s, 81.22/s) LR: 3.725e-04 +2023-08-03 01:18:04,146 - train: [ INFO] - Train: 125 [ 50/65 (100%)] Loss: 0.010634 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.22/s (0.364s, 330.10/s) LR: 3.725e-04 +2023-08-03 01:18:08,898 - train: [ INFO] - Train: 125 [ 64/65 (100%)] Loss: 0.010946 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.56/s (0.358s, 334.90/s) LR: 3.725e-04 +2023-08-03 01:18:09,820 - train: [ INFO] - Test: [ 0/7] Time: 0.788 (0.788) Loss: 1.0694 (1.0694) Acc@1: 73.3333 (73.3333)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:18:11,365 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.292) Loss: 1.5866 (1.0695) Acc@1: 60.0000 (75.5172)Acc@5: 76.6667 (88.9655) + +2023-08-03 01:18:13,091 - train: [ INFO] - Train: 126 [ 0/65 (100%)] Loss: 0.009191 (0.0092) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.464s, 81.99/s (1.464s, 81.99/s) LR: 3.696e-04 +2023-08-03 01:18:30,097 - train: [ INFO] - Train: 126 [ 50/65 (100%)] Loss: 0.009687 (0.0096) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.346s, 346.77/s (0.362s, 331.38/s) LR: 3.696e-04 +2023-08-03 01:18:34,882 - train: [ INFO] - Train: 126 [ 64/65 (100%)] Loss: 0.009839 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.56/s (0.358s, 335.45/s) LR: 3.696e-04 +2023-08-03 01:18:35,808 - train: [ INFO] - Test: [ 0/7] Time: 0.784 (0.784) Loss: 1.3055 (1.3055) Acc@1: 67.5000 (67.5000)Acc@5: 85.0000 (85.0000) + +2023-08-03 01:18:37,388 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.296) Loss: 0.9360 (1.0824) Acc@1: 76.6667 (74.1379)Acc@5: 93.3333 (89.1954) + +2023-08-03 01:18:39,148 - train: [ INFO] - Train: 127 [ 0/65 (100%)] Loss: 0.010802 (0.0108) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.487s, 80.73/s (1.487s, 80.73/s) LR: 3.667e-04 +2023-08-03 01:18:56,142 - train: [ INFO] - Train: 127 [ 50/65 (100%)] Loss: 0.008937 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 356.89/s (0.362s, 331.19/s) LR: 3.667e-04 +2023-08-03 01:19:00,856 - train: [ INFO] - Train: 127 [ 64/65 (100%)] Loss: 0.008913 (0.0094) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.73/s (0.357s, 336.31/s) LR: 3.667e-04 +2023-08-03 01:19:01,841 - train: [ INFO] - Test: [ 0/7] Time: 0.815 (0.815) Loss: 1.2130 (1.2130) Acc@1: 73.3333 (73.3333)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:19:03,416 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.299) Loss: 0.5595 (1.0515) Acc@1: 86.6667 (75.7471)Acc@5: 96.6667 (89.4253) + +2023-08-03 01:19:05,224 - train: [ INFO] - Train: 128 [ 0/65 (100%)] Loss: 0.009048 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.512s, 79.38/s (1.512s, 79.38/s) LR: 3.637e-04 +2023-08-03 01:19:22,231 - train: [ INFO] - Train: 128 [ 50/65 (100%)] Loss: 0.008246 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.57/s (0.363s, 330.50/s) LR: 3.637e-04 +2023-08-03 01:19:26,984 - train: [ INFO] - Train: 128 [ 64/65 (100%)] Loss: 0.009035 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.27/s (0.358s, 335.19/s) LR: 3.637e-04 +2023-08-03 01:19:27,955 - train: [ INFO] - Test: [ 0/7] Time: 0.815 (0.815) Loss: 0.8630 (0.8630) Acc@1: 80.0000 (80.0000)Acc@5: 93.3333 (93.3333) + +2023-08-03 01:19:29,541 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.300) Loss: 1.1433 (1.0765) Acc@1: 80.0000 (74.5977)Acc@5: 83.3333 (89.1954) + +2023-08-03 01:19:31,358 - train: [ INFO] - Train: 129 [ 0/65 (100%)] Loss: 0.009196 (0.0092) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.500s, 79.99/s (1.500s, 79.99/s) LR: 3.608e-04 +2023-08-03 01:19:48,318 - train: [ INFO] - Train: 129 [ 50/65 (100%)] Loss: 0.008407 (0.0089) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.22/s (0.362s, 331.56/s) LR: 3.608e-04 +2023-08-03 01:19:53,073 - train: [ INFO] - Train: 129 [ 64/65 (100%)] Loss: 0.009225 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.48/s (0.357s, 336.02/s) LR: 3.608e-04 +2023-08-03 01:19:54,041 - train: [ INFO] - Test: [ 0/7] Time: 0.807 (0.807) Loss: 1.1222 (1.1222) Acc@1: 70.8333 (70.8333)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:19:55,616 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 0.6801 (1.0845) Acc@1: 80.0000 (73.9081)Acc@5: 100.0000 (90.1149) + +2023-08-03 01:19:57,352 - train: [ INFO] - Train: 130 [ 0/65 (100%)] Loss: 0.009084 (0.0091) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.466s, 81.88/s (1.466s, 81.88/s) LR: 3.578e-04 +2023-08-03 01:20:14,329 - train: [ INFO] - Train: 130 [ 50/65 (100%)] Loss: 0.008642 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.38/s (0.362s, 331.86/s) LR: 3.578e-04 +2023-08-03 01:20:19,061 - train: [ INFO] - Train: 130 [ 64/65 (100%)] Loss: 0.008357 (0.0089) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.69/s (0.357s, 336.60/s) LR: 3.578e-04 +2023-08-03 01:20:19,981 - train: [ INFO] - Test: [ 0/7] Time: 0.787 (0.787) Loss: 1.3098 (1.3098) Acc@1: 68.3333 (68.3333)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:20:21,474 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.285) Loss: 0.5158 (1.0238) Acc@1: 93.3333 (75.8621)Acc@5: 93.3333 (89.6552) + +2023-08-03 01:20:23,253 - train: [ INFO] - Train: 131 [ 0/65 (100%)] Loss: 0.008108 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.501s, 79.95/s (1.501s, 79.95/s) LR: 3.549e-04 +2023-08-03 01:20:40,272 - train: [ INFO] - Train: 131 [ 50/65 (100%)] Loss: 0.009002 (0.0087) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.22/s (0.363s, 330.47/s) LR: 3.549e-04 +2023-08-03 01:20:45,021 - train: [ INFO] - Train: 131 [ 64/65 (100%)] Loss: 0.008017 (0.0086) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.52/s (0.358s, 335.24/s) LR: 3.549e-04 +2023-08-03 01:20:45,992 - train: [ INFO] - Test: [ 0/7] Time: 0.825 (0.825) Loss: 1.0759 (1.0759) Acc@1: 75.8333 (75.8333)Acc@5: 87.5000 (87.5000) + +2023-08-03 01:20:47,628 - train: [ INFO] - Test: [ 7/7] Time: 0.038 (0.308) Loss: 0.9013 (1.0129) Acc@1: 80.0000 (76.6667)Acc@5: 90.0000 (89.5402) + +2023-08-03 01:20:47,910 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-131.pth.tar', 76.66667043751684) + +2023-08-03 01:20:49,406 - train: [ INFO] - Train: 132 [ 0/65 (100%)] Loss: 0.007857 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.480s, 81.10/s (1.480s, 81.10/s) LR: 3.519e-04 +2023-08-03 01:21:06,297 - train: [ INFO] - Train: 132 [ 50/65 (100%)] Loss: 0.008924 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.15/s (0.360s, 333.17/s) LR: 3.519e-04 +2023-08-03 01:21:11,066 - train: [ INFO] - Train: 132 [ 64/65 (100%)] Loss: 0.008714 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.37/s (0.356s, 337.12/s) LR: 3.519e-04 +2023-08-03 01:21:12,014 - train: [ INFO] - Test: [ 0/7] Time: 0.801 (0.801) Loss: 1.0791 (1.0791) Acc@1: 75.8333 (75.8333)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:21:13,602 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.299) Loss: 0.6214 (1.0591) Acc@1: 83.3333 (75.1724)Acc@5: 93.3333 (89.6552) + +2023-08-03 01:21:15,355 - train: [ INFO] - Train: 133 [ 0/65 (100%)] Loss: 0.008071 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.482s, 80.96/s (1.482s, 80.96/s) LR: 3.490e-04 +2023-08-03 01:21:32,292 - train: [ INFO] - Train: 133 [ 50/65 (100%)] Loss: 0.008268 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.19/s (0.361s, 332.30/s) LR: 3.490e-04 +2023-08-03 01:21:37,056 - train: [ INFO] - Train: 133 [ 64/65 (100%)] Loss: 0.007941 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 359.52/s (0.357s, 336.50/s) LR: 3.490e-04 +2023-08-03 01:21:38,017 - train: [ INFO] - Test: [ 0/7] Time: 0.801 (0.801) Loss: 1.1956 (1.1956) Acc@1: 72.5000 (72.5000)Acc@5: 85.8333 (85.8333) + +2023-08-03 01:21:39,564 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.294) Loss: 1.3308 (1.0578) Acc@1: 63.3333 (75.2874)Acc@5: 86.6667 (89.3103) + +2023-08-03 01:21:41,264 - train: [ INFO] - Train: 134 [ 0/65 (100%)] Loss: 0.008523 (0.0085) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.456s, 82.41/s (1.456s, 82.41/s) LR: 3.460e-04 +2023-08-03 01:21:58,195 - train: [ INFO] - Train: 134 [ 50/65 (100%)] Loss: 0.007763 (0.0083) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.68/s (0.360s, 332.87/s) LR: 3.460e-04 +2023-08-03 01:22:02,962 - train: [ INFO] - Train: 134 [ 64/65 (100%)] Loss: 0.009462 (0.0083) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.76/s (0.356s, 336.91/s) LR: 3.460e-04 +2023-08-03 01:22:03,929 - train: [ INFO] - Test: [ 0/7] Time: 0.812 (0.812) Loss: 1.0844 (1.0844) Acc@1: 68.3333 (68.3333)Acc@5: 87.5000 (87.5000) + +2023-08-03 01:22:05,518 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.300) Loss: 0.8278 (1.0267) Acc@1: 80.0000 (74.9425)Acc@5: 86.6667 (89.6552) + +2023-08-03 01:22:07,324 - train: [ INFO] - Train: 135 [ 0/65 (100%)] Loss: 0.008839 (0.0088) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.527s, 78.59/s (1.527s, 78.59/s) LR: 3.430e-04 +2023-08-03 01:22:24,229 - train: [ INFO] - Train: 135 [ 50/65 (100%)] Loss: 0.007682 (0.0082) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.09/s (0.361s, 332.05/s) LR: 3.430e-04 +2023-08-03 01:22:28,995 - train: [ INFO] - Train: 135 [ 64/65 (100%)] Loss: 0.007500 (0.0082) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.37/s (0.357s, 336.27/s) LR: 3.430e-04 +2023-08-03 01:22:29,969 - train: [ INFO] - Test: [ 0/7] Time: 0.810 (0.810) Loss: 0.6355 (0.6355) Acc@1: 81.6667 (81.6667)Acc@5: 95.8333 (95.8333) + +2023-08-03 01:22:31,523 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.295) Loss: 1.1585 (1.0064) Acc@1: 80.0000 (77.0115)Acc@5: 83.3333 (90.0000) + +2023-08-03 01:22:31,796 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-135.pth.tar', 77.01149802372373) + +2023-08-03 01:22:33,219 - train: [ INFO] - Train: 136 [ 0/65 (100%)] Loss: 0.008083 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.409s, 85.15/s (1.409s, 85.15/s) LR: 3.400e-04 +2023-08-03 01:22:50,256 - train: [ INFO] - Train: 136 [ 50/65 (100%)] Loss: 0.009457 (0.0080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.79/s (0.362s, 331.79/s) LR: 3.400e-04 +2023-08-03 01:22:54,978 - train: [ INFO] - Train: 136 [ 64/65 (100%)] Loss: 0.007538 (0.0080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.73/s (0.356s, 336.70/s) LR: 3.400e-04 +2023-08-03 01:22:55,955 - train: [ INFO] - Test: [ 0/7] Time: 0.821 (0.821) Loss: 1.4123 (1.4123) Acc@1: 68.3333 (68.3333)Acc@5: 82.5000 (82.5000) + +2023-08-03 01:22:57,563 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.304) Loss: 1.5076 (1.0517) Acc@1: 80.0000 (76.3218)Acc@5: 90.0000 (89.6552) + +2023-08-03 01:22:59,333 - train: [ INFO] - Train: 137 [ 0/65 (100%)] Loss: 0.007860 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.515s, 79.19/s (1.515s, 79.19/s) LR: 3.371e-04 +2023-08-03 01:23:16,259 - train: [ INFO] - Train: 137 [ 50/65 (100%)] Loss: 0.007066 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 348.00/s (0.362s, 331.90/s) LR: 3.371e-04 +2023-08-03 01:23:21,028 - train: [ INFO] - Train: 137 [ 64/65 (100%)] Loss: 0.007863 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.87/s (0.357s, 336.10/s) LR: 3.371e-04 +2023-08-03 01:23:21,960 - train: [ INFO] - Test: [ 0/7] Time: 0.799 (0.799) Loss: 1.1333 (1.1333) Acc@1: 73.3333 (73.3333)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:23:23,496 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.292) Loss: 1.2209 (1.0377) Acc@1: 73.3333 (76.8966)Acc@5: 86.6667 (89.6552) + +2023-08-03 01:23:25,216 - train: [ INFO] - Train: 138 [ 0/65 (100%)] Loss: 0.007235 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.462s, 82.08/s (1.462s, 82.08/s) LR: 3.341e-04 +2023-08-03 01:23:42,138 - train: [ INFO] - Train: 138 [ 50/65 (100%)] Loss: 0.007971 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 358.76/s (0.360s, 332.91/s) LR: 3.341e-04 +2023-08-03 01:23:46,853 - train: [ INFO] - Train: 138 [ 64/65 (100%)] Loss: 0.007200 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.48/s (0.355s, 337.71/s) LR: 3.341e-04 +2023-08-03 01:23:47,792 - train: [ INFO] - Test: [ 0/7] Time: 0.793 (0.793) Loss: 0.9518 (0.9518) Acc@1: 79.1667 (79.1667)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:23:49,385 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 1.0454 (1.0248) Acc@1: 76.6667 (76.4368)Acc@5: 83.3333 (89.5402) + +2023-08-03 01:23:51,082 - train: [ INFO] - Train: 139 [ 0/65 (100%)] Loss: 0.007216 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.460s, 82.21/s (1.460s, 82.21/s) LR: 3.311e-04 +2023-08-03 01:24:08,116 - train: [ INFO] - Train: 139 [ 50/65 (100%)] Loss: 0.007354 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.18/s (0.363s, 330.95/s) LR: 3.311e-04 +2023-08-03 01:24:12,833 - train: [ INFO] - Train: 139 [ 64/65 (100%)] Loss: 0.007707 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.29/s (0.357s, 336.09/s) LR: 3.311e-04 +2023-08-03 01:24:13,768 - train: [ INFO] - Test: [ 0/7] Time: 0.787 (0.787) Loss: 1.3919 (1.3919) Acc@1: 70.0000 (70.0000)Acc@5: 84.1667 (84.1667) + +2023-08-03 01:24:15,299 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.290) Loss: 1.2137 (1.0140) Acc@1: 73.3333 (76.2069)Acc@5: 83.3333 (90.5747) + +2023-08-03 01:24:17,075 - train: [ INFO] - Train: 140 [ 0/65 (100%)] Loss: 0.007451 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.522s, 78.84/s (1.522s, 78.84/s) LR: 3.281e-04 +2023-08-03 01:24:34,002 - train: [ INFO] - Train: 140 [ 50/65 (100%)] Loss: 0.007155 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.59/s (0.362s, 331.75/s) LR: 3.281e-04 +2023-08-03 01:24:38,789 - train: [ INFO] - Train: 140 [ 64/65 (100%)] Loss: 0.007604 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.27/s (0.357s, 335.72/s) LR: 3.281e-04 +2023-08-03 01:24:39,747 - train: [ INFO] - Test: [ 0/7] Time: 0.814 (0.814) Loss: 0.9704 (0.9704) Acc@1: 78.3333 (78.3333)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:24:41,314 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 0.4472 (1.0585) Acc@1: 93.3333 (75.8621)Acc@5: 100.0000 (89.4253) + +2023-08-03 01:24:43,020 - train: [ INFO] - Train: 141 [ 0/65 (100%)] Loss: 0.007639 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.460s, 82.18/s (1.460s, 82.18/s) LR: 3.251e-04 +2023-08-03 01:24:59,970 - train: [ INFO] - Train: 141 [ 50/65 (100%)] Loss: 0.007822 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 358.97/s (0.361s, 332.45/s) LR: 3.251e-04 +2023-08-03 01:25:04,671 - train: [ INFO] - Train: 141 [ 64/65 (100%)] Loss: 0.007977 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.35/s (0.356s, 337.53/s) LR: 3.251e-04 +2023-08-03 01:25:05,598 - train: [ INFO] - Test: [ 0/7] Time: 0.797 (0.797) Loss: 0.9500 (0.9500) Acc@1: 76.6667 (76.6667)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:25:07,170 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.296) Loss: 1.2814 (1.0780) Acc@1: 73.3333 (74.9425)Acc@5: 86.6667 (88.8506) + +2023-08-03 01:25:08,876 - train: [ INFO] - Train: 142 [ 0/65 (100%)] Loss: 0.007323 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.453s, 82.60/s (1.453s, 82.60/s) LR: 3.221e-04 +2023-08-03 01:25:25,910 - train: [ INFO] - Train: 142 [ 50/65 (100%)] Loss: 0.009284 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.77/s (0.362s, 331.08/s) LR: 3.221e-04 +2023-08-03 01:25:30,690 - train: [ INFO] - Train: 142 [ 64/65 (100%)] Loss: 0.007783 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.92/s (0.358s, 335.28/s) LR: 3.221e-04 +2023-08-03 01:25:31,631 - train: [ INFO] - Test: [ 0/7] Time: 0.788 (0.788) Loss: 1.0240 (1.0240) Acc@1: 75.8333 (75.8333)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:25:33,203 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.295) Loss: 0.8348 (1.0242) Acc@1: 76.6667 (76.7816)Acc@5: 96.6667 (89.5402) + +2023-08-03 01:25:34,982 - train: [ INFO] - Train: 143 [ 0/65 (100%)] Loss: 0.006902 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.481s, 81.02/s (1.481s, 81.02/s) LR: 3.191e-04 +2023-08-03 01:25:51,944 - train: [ INFO] - Train: 143 [ 50/65 (100%)] Loss: 0.007022 (0.0072) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.11/s (0.362s, 331.84/s) LR: 3.191e-04 +2023-08-03 01:25:56,729 - train: [ INFO] - Train: 143 [ 64/65 (100%)] Loss: 0.007508 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.33/s (0.357s, 335.83/s) LR: 3.191e-04 +2023-08-03 01:25:57,692 - train: [ INFO] - Test: [ 0/7] Time: 0.814 (0.814) Loss: 1.2446 (1.2446) Acc@1: 70.8333 (70.8333)Acc@5: 87.5000 (87.5000) + +2023-08-03 01:25:59,258 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 0.2792 (1.0732) Acc@1: 93.3333 (75.1724)Acc@5: 100.0000 (88.3908) + +2023-08-03 01:26:00,975 - train: [ INFO] - Train: 144 [ 0/65 (100%)] Loss: 0.006865 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.464s, 81.95/s (1.464s, 81.95/s) LR: 3.161e-04 +2023-08-03 01:26:17,980 - train: [ INFO] - Train: 144 [ 50/65 (100%)] Loss: 0.007036 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.62/s (0.362s, 331.39/s) LR: 3.161e-04 +2023-08-03 01:26:22,709 - train: [ INFO] - Train: 144 [ 64/65 (100%)] Loss: 0.006726 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 359.04/s (0.357s, 336.27/s) LR: 3.161e-04 +2023-08-03 01:26:23,635 - train: [ INFO] - Test: [ 0/7] Time: 0.776 (0.776) Loss: 1.0867 (1.0867) Acc@1: 70.8333 (70.8333)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:26:25,168 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.289) Loss: 1.0249 (1.0510) Acc@1: 76.6667 (75.6322)Acc@5: 90.0000 (89.1954) + +2023-08-03 01:26:26,951 - train: [ INFO] - Train: 145 [ 0/65 (100%)] Loss: 0.006612 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.524s, 78.72/s (1.524s, 78.72/s) LR: 3.130e-04 +2023-08-03 01:26:43,994 - train: [ INFO] - Train: 145 [ 50/65 (100%)] Loss: 0.006637 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 348.24/s (0.364s, 329.65/s) LR: 3.130e-04 +2023-08-03 01:26:48,781 - train: [ INFO] - Train: 145 [ 64/65 (100%)] Loss: 0.006901 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.55/s (0.359s, 334.02/s) LR: 3.130e-04 +2023-08-03 01:26:49,744 - train: [ INFO] - Test: [ 0/7] Time: 0.829 (0.829) Loss: 0.8995 (0.8995) Acc@1: 80.0000 (80.0000)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:26:51,344 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.304) Loss: 1.2236 (1.0304) Acc@1: 73.3333 (76.3218)Acc@5: 83.3333 (89.6552) + +2023-08-03 01:26:53,078 - train: [ INFO] - Train: 146 [ 0/65 (100%)] Loss: 0.006766 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.491s, 80.49/s (1.491s, 80.49/s) LR: 3.100e-04 +2023-08-03 01:27:09,998 - train: [ INFO] - Train: 146 [ 50/65 (100%)] Loss: 0.007243 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.56/s (0.361s, 332.44/s) LR: 3.100e-04 +2023-08-03 01:27:14,772 - train: [ INFO] - Train: 146 [ 64/65 (100%)] Loss: 0.006825 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.66/s (0.357s, 336.46/s) LR: 3.100e-04 +2023-08-03 01:27:15,739 - train: [ INFO] - Test: [ 0/7] Time: 0.802 (0.802) Loss: 1.3383 (1.3383) Acc@1: 73.3333 (73.3333)Acc@5: 87.5000 (87.5000) + +2023-08-03 01:27:17,338 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.300) Loss: 0.9296 (1.0982) Acc@1: 73.3333 (74.0230)Acc@5: 90.0000 (88.8506) + +2023-08-03 01:27:19,076 - train: [ INFO] - Train: 147 [ 0/65 (100%)] Loss: 0.006814 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.462s, 82.08/s (1.462s, 82.08/s) LR: 3.070e-04 +2023-08-03 01:27:36,114 - train: [ INFO] - Train: 147 [ 50/65 (100%)] Loss: 0.006637 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 359.47/s (0.363s, 330.83/s) LR: 3.070e-04 +2023-08-03 01:27:40,842 - train: [ INFO] - Train: 147 [ 64/65 (100%)] Loss: 0.008508 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.98/s (0.357s, 335.83/s) LR: 3.070e-04 +2023-08-03 01:27:41,807 - train: [ INFO] - Test: [ 0/7] Time: 0.800 (0.800) Loss: 0.9658 (0.9658) Acc@1: 80.0000 (80.0000)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:27:43,324 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.290) Loss: 1.0749 (1.0709) Acc@1: 80.0000 (74.9425)Acc@5: 86.6667 (89.4253) + +2023-08-03 01:27:45,099 - train: [ INFO] - Train: 148 [ 0/65 (100%)] Loss: 0.006759 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.511s, 79.42/s (1.511s, 79.42/s) LR: 3.040e-04 +2023-08-03 01:28:02,098 - train: [ INFO] - Train: 148 [ 50/65 (100%)] Loss: 0.007910 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.49/s (0.363s, 330.66/s) LR: 3.040e-04 +2023-08-03 01:28:06,862 - train: [ INFO] - Train: 148 [ 64/65 (100%)] Loss: 0.007158 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.28/s (0.358s, 335.17/s) LR: 3.040e-04 +2023-08-03 01:28:07,879 - train: [ INFO] - Test: [ 0/7] Time: 0.834 (0.834) Loss: 1.2383 (1.2383) Acc@1: 73.3333 (73.3333)Acc@5: 87.5000 (87.5000) + +2023-08-03 01:28:09,472 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.303) Loss: 1.1855 (1.0835) Acc@1: 73.3333 (74.9425)Acc@5: 96.6667 (88.8506) + +2023-08-03 01:28:11,228 - train: [ INFO] - Train: 149 [ 0/65 (100%)] Loss: 0.007027 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.472s, 81.52/s (1.472s, 81.52/s) LR: 3.010e-04 +2023-08-03 01:28:28,123 - train: [ INFO] - Train: 149 [ 50/65 (100%)] Loss: 0.006822 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.40/s (0.360s, 333.23/s) LR: 3.010e-04 +2023-08-03 01:28:32,867 - train: [ INFO] - Train: 149 [ 64/65 (100%)] Loss: 0.006392 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.51/s (0.356s, 337.53/s) LR: 3.010e-04 +2023-08-03 01:28:33,873 - train: [ INFO] - Test: [ 0/7] Time: 0.832 (0.832) Loss: 0.8752 (0.8752) Acc@1: 80.0000 (80.0000)Acc@5: 93.3333 (93.3333) + +2023-08-03 01:28:35,488 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.306) Loss: 1.2295 (1.0151) Acc@1: 70.0000 (77.7012)Acc@5: 86.6667 (89.5402) + +2023-08-03 01:28:35,770 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-149.pth.tar', 77.70115503771552) + +2023-08-03 01:28:37,284 - train: [ INFO] - Train: 150 [ 0/65 (100%)] Loss: 0.007067 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.497s, 80.18/s (1.497s, 80.18/s) LR: 2.980e-04 +2023-08-03 01:28:54,315 - train: [ INFO] - Train: 150 [ 50/65 (100%)] Loss: 0.006976 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.93/s (0.363s, 330.34/s) LR: 2.980e-04 +2023-08-03 01:28:59,060 - train: [ INFO] - Train: 150 [ 64/65 (100%)] Loss: 0.006415 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.49/s (0.358s, 335.18/s) LR: 2.980e-04 +2023-08-03 01:29:00,035 - train: [ INFO] - Test: [ 0/7] Time: 0.804 (0.804) Loss: 1.1826 (1.1826) Acc@1: 76.6667 (76.6667)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:29:01,625 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.299) Loss: 0.8647 (1.0386) Acc@1: 80.0000 (75.9770)Acc@5: 96.6667 (89.1954) + +2023-08-03 01:29:03,375 - train: [ INFO] - Train: 151 [ 0/65 (100%)] Loss: 0.006943 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.79/s (1.504s, 79.79/s) LR: 2.950e-04 +2023-08-03 01:29:20,333 - train: [ INFO] - Train: 151 [ 50/65 (100%)] Loss: 0.006528 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.347s, 345.86/s (0.362s, 331.52/s) LR: 2.950e-04 +2023-08-03 01:29:25,131 - train: [ INFO] - Train: 151 [ 64/65 (100%)] Loss: 0.006790 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.75/s (0.358s, 335.39/s) LR: 2.950e-04 +2023-08-03 01:29:26,079 - train: [ INFO] - Test: [ 0/7] Time: 0.809 (0.809) Loss: 0.8618 (0.8618) Acc@1: 80.8333 (80.8333)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:29:27,667 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.300) Loss: 1.3177 (1.0761) Acc@1: 70.0000 (75.8621)Acc@5: 83.3333 (88.7356) + +2023-08-03 01:29:29,397 - train: [ INFO] - Train: 152 [ 0/65 (100%)] Loss: 0.006315 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.460s, 82.18/s (1.460s, 82.18/s) LR: 2.919e-04 +2023-08-03 01:29:46,345 - train: [ INFO] - Train: 152 [ 50/65 (100%)] Loss: 0.007269 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.86/s (0.361s, 332.49/s) LR: 2.919e-04 +2023-08-03 01:29:51,089 - train: [ INFO] - Train: 152 [ 64/65 (100%)] Loss: 0.007081 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.41/s (0.356s, 336.93/s) LR: 2.919e-04 +2023-08-03 01:29:52,020 - train: [ INFO] - Test: [ 0/7] Time: 0.819 (0.819) Loss: 1.1188 (1.1188) Acc@1: 74.1667 (74.1667)Acc@5: 87.5000 (87.5000) + +2023-08-03 01:29:53,556 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.294) Loss: 0.7095 (1.0107) Acc@1: 86.6667 (77.0115)Acc@5: 93.3333 (90.4598) + +2023-08-03 01:29:55,327 - train: [ INFO] - Train: 153 [ 0/65 (100%)] Loss: 0.006409 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.497s, 80.17/s (1.497s, 80.17/s) LR: 2.889e-04 +2023-08-03 01:30:12,389 - train: [ INFO] - Train: 153 [ 50/65 (100%)] Loss: 0.006365 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.60/s (0.364s, 329.79/s) LR: 2.889e-04 +2023-08-03 01:30:17,163 - train: [ INFO] - Train: 153 [ 64/65 (100%)] Loss: 0.006561 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.55/s (0.359s, 334.32/s) LR: 2.889e-04 +2023-08-03 01:30:18,082 - train: [ INFO] - Test: [ 0/7] Time: 0.779 (0.779) Loss: 1.1731 (1.1731) Acc@1: 72.5000 (72.5000)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:30:19,633 - train: [ INFO] - Test: [ 7/7] Time: 0.036 (0.291) Loss: 0.8095 (1.0575) Acc@1: 83.3333 (75.9770)Acc@5: 86.6667 (88.9655) + +2023-08-03 01:30:21,479 - train: [ INFO] - Train: 154 [ 0/65 (100%)] Loss: 0.006533 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.511s, 79.42/s (1.511s, 79.42/s) LR: 2.859e-04 +2023-08-03 01:30:38,422 - train: [ INFO] - Train: 154 [ 50/65 (100%)] Loss: 0.006484 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.89/s (0.362s, 331.67/s) LR: 2.859e-04 +2023-08-03 01:30:43,192 - train: [ INFO] - Train: 154 [ 64/65 (100%)] Loss: 0.006503 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.63/s (0.357s, 335.90/s) LR: 2.859e-04 +2023-08-03 01:30:44,156 - train: [ INFO] - Test: [ 0/7] Time: 0.812 (0.812) Loss: 1.2074 (1.2074) Acc@1: 76.6667 (76.6667)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:30:45,727 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 1.0923 (1.0354) Acc@1: 76.6667 (77.1264)Acc@5: 90.0000 (89.0805) + +2023-08-03 01:30:47,447 - train: [ INFO] - Train: 155 [ 0/65 (100%)] Loss: 0.006689 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.454s, 82.51/s (1.454s, 82.51/s) LR: 2.829e-04 +2023-08-03 01:31:04,451 - train: [ INFO] - Train: 155 [ 50/65 (100%)] Loss: 0.006323 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.94/s (0.362s, 331.59/s) LR: 2.829e-04 +2023-08-03 01:31:09,175 - train: [ INFO] - Train: 155 [ 64/65 (100%)] Loss: 0.006275 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.45/s (0.357s, 336.51/s) LR: 2.829e-04 +2023-08-03 01:31:10,121 - train: [ INFO] - Test: [ 0/7] Time: 0.791 (0.791) Loss: 1.0976 (1.0976) Acc@1: 74.1667 (74.1667)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:31:11,708 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.297) Loss: 0.5014 (1.0061) Acc@1: 80.0000 (77.0115)Acc@5: 100.0000 (89.6552) + +2023-08-03 01:31:13,412 - train: [ INFO] - Train: 156 [ 0/65 (100%)] Loss: 0.006225 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.402s, 85.60/s (1.402s, 85.60/s) LR: 2.799e-04 +2023-08-03 01:31:30,480 - train: [ INFO] - Train: 156 [ 50/65 (100%)] Loss: 0.006429 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 347.57/s (0.362s, 331.39/s) LR: 2.799e-04 +2023-08-03 01:31:35,238 - train: [ INFO] - Train: 156 [ 64/65 (100%)] Loss: 0.006229 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.95/s (0.357s, 335.85/s) LR: 2.799e-04 +2023-08-03 01:31:36,236 - train: [ INFO] - Test: [ 0/7] Time: 0.826 (0.826) Loss: 1.1194 (1.1194) Acc@1: 73.3333 (73.3333)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:31:37,861 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.306) Loss: 0.8995 (1.0518) Acc@1: 73.3333 (75.9770)Acc@5: 93.3333 (89.4253) + +2023-08-03 01:31:39,617 - train: [ INFO] - Train: 157 [ 0/65 (100%)] Loss: 0.006377 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.499s, 80.06/s (1.499s, 80.06/s) LR: 2.769e-04 +2023-08-03 01:31:56,559 - train: [ INFO] - Train: 157 [ 50/65 (100%)] Loss: 0.007259 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.96/s (0.362s, 331.91/s) LR: 2.769e-04 +2023-08-03 01:32:01,312 - train: [ INFO] - Train: 157 [ 64/65 (100%)] Loss: 0.006499 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.51/s (0.357s, 336.33/s) LR: 2.769e-04 +2023-08-03 01:32:02,230 - train: [ INFO] - Test: [ 0/7] Time: 0.780 (0.780) Loss: 1.2037 (1.2037) Acc@1: 73.3333 (73.3333)Acc@5: 84.1667 (84.1667) + +2023-08-03 01:32:03,833 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.298) Loss: 0.9272 (1.0915) Acc@1: 83.3333 (75.1724)Acc@5: 93.3333 (88.8506) + +2023-08-03 01:32:05,586 - train: [ INFO] - Train: 158 [ 0/65 (100%)] Loss: 0.011945 (0.0119) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.495s, 80.28/s (1.495s, 80.28/s) LR: 2.739e-04 +2023-08-03 01:32:22,565 - train: [ INFO] - Train: 158 [ 50/65 (100%)] Loss: 0.006265 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.81/s (0.362s, 331.30/s) LR: 2.739e-04 +2023-08-03 01:32:27,309 - train: [ INFO] - Train: 158 [ 64/65 (100%)] Loss: 0.006116 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 356.77/s (0.357s, 335.98/s) LR: 2.739e-04 +2023-08-03 01:32:28,220 - train: [ INFO] - Test: [ 0/7] Time: 0.781 (0.781) Loss: 0.9606 (0.9606) Acc@1: 80.0000 (80.0000)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:32:29,764 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.291) Loss: 1.3176 (1.0260) Acc@1: 76.6667 (77.4713)Acc@5: 93.3333 (89.0805) + +2023-08-03 01:32:31,542 - train: [ INFO] - Train: 159 [ 0/65 (100%)] Loss: 0.006185 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.482s, 80.97/s (1.482s, 80.97/s) LR: 2.709e-04 +2023-08-03 01:32:48,559 - train: [ INFO] - Train: 159 [ 50/65 (100%)] Loss: 0.006252 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.34/s (0.363s, 330.86/s) LR: 2.709e-04 +2023-08-03 01:32:53,338 - train: [ INFO] - Train: 159 [ 64/65 (100%)] Loss: 0.006295 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.40/s (0.358s, 335.12/s) LR: 2.709e-04 +2023-08-03 01:32:54,314 - train: [ INFO] - Test: [ 0/7] Time: 0.811 (0.811) Loss: 1.0753 (1.0753) Acc@1: 73.3333 (73.3333)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:32:55,840 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.292) Loss: 0.5144 (1.0413) Acc@1: 93.3333 (75.9770)Acc@5: 96.6667 (89.6552) + +2023-08-03 01:32:57,623 - train: [ INFO] - Train: 160 [ 0/65 (100%)] Loss: 0.006107 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.501s, 79.92/s (1.501s, 79.92/s) LR: 2.679e-04 +2023-08-03 01:33:14,548 - train: [ INFO] - Train: 160 [ 50/65 (100%)] Loss: 0.006333 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.85/s (0.361s, 332.14/s) LR: 2.679e-04 +2023-08-03 01:33:19,309 - train: [ INFO] - Train: 160 [ 64/65 (100%)] Loss: 0.005973 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.41/s (0.357s, 336.42/s) LR: 2.679e-04 +2023-08-03 01:33:20,255 - train: [ INFO] - Test: [ 0/7] Time: 0.805 (0.805) Loss: 0.9011 (0.9011) Acc@1: 75.8333 (75.8333)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:33:21,837 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 1.1194 (1.0359) Acc@1: 73.3333 (76.4368)Acc@5: 90.0000 (89.7701) + +2023-08-03 01:33:23,627 - train: [ INFO] - Train: 161 [ 0/65 (100%)] Loss: 0.005854 (0.0059) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.76/s (1.504s, 79.76/s) LR: 2.649e-04 +2023-08-03 01:33:40,627 - train: [ INFO] - Train: 161 [ 50/65 (100%)] Loss: 0.006399 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.55/s (0.363s, 330.74/s) LR: 2.649e-04 +2023-08-03 01:33:45,356 - train: [ INFO] - Train: 161 [ 64/65 (100%)] Loss: 0.006441 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.65/s (0.357s, 335.75/s) LR: 2.649e-04 +2023-08-03 01:33:46,332 - train: [ INFO] - Test: [ 0/7] Time: 0.808 (0.808) Loss: 1.0841 (1.0841) Acc@1: 75.0000 (75.0000)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:33:47,914 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.299) Loss: 1.2845 (1.0332) Acc@1: 80.0000 (75.7471)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:33:49,652 - train: [ INFO] - Train: 162 [ 0/65 (100%)] Loss: 0.006409 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.456s, 82.40/s (1.456s, 82.40/s) LR: 2.619e-04 +2023-08-03 01:34:06,583 - train: [ INFO] - Train: 162 [ 50/65 (100%)] Loss: 0.035283 (0.0145) Acc@1: 100.0000 (99.9183) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.74/s (0.361s, 332.87/s) LR: 2.619e-04 +2023-08-03 01:34:11,327 - train: [ INFO] - Train: 162 [ 64/65 (100%)] Loss: 0.042895 (0.0206) Acc@1: 100.0000 (99.8590) Acc@5: 100.0000 (99.9872) Time: 0.340s, 352.44/s (0.356s, 337.24/s) LR: 2.619e-04 +2023-08-03 01:34:12,335 - train: [ INFO] - Test: [ 0/7] Time: 0.837 (0.837) Loss: 1.1417 (1.1417) Acc@1: 75.8333 (75.8333)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:34:13,889 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.299) Loss: 1.3165 (1.3977) Acc@1: 73.3333 (67.7012)Acc@5: 86.6667 (85.0575) + +2023-08-03 01:34:15,734 - train: [ INFO] - Train: 163 [ 0/65 (100%)] Loss: 0.054011 (0.0540) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 1.544s, 77.72/s (1.544s, 77.72/s) LR: 2.589e-04 +2023-08-03 01:34:32,647 - train: [ INFO] - Train: 163 [ 50/65 (100%)] Loss: 0.078796 (0.0749) Acc@1: 100.0000 (99.3791) Acc@5: 100.0000 (99.9510) Time: 0.341s, 351.69/s (0.362s, 331.61/s) LR: 2.589e-04 +2023-08-03 01:34:37,402 - train: [ INFO] - Train: 163 [ 64/65 (100%)] Loss: 0.074310 (0.0722) Acc@1: 98.3333 (99.4103) Acc@5: 100.0000 (99.9615) Time: 0.338s, 354.93/s (0.357s, 336.07/s) LR: 2.589e-04 +2023-08-03 01:34:38,376 - train: [ INFO] - Test: [ 0/7] Time: 0.819 (0.819) Loss: 1.1893 (1.1893) Acc@1: 66.6667 (66.6667)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:34:39,911 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.294) Loss: 1.7468 (1.2409) Acc@1: 53.3333 (71.1494)Acc@5: 83.3333 (87.7012) + +2023-08-03 01:34:41,645 - train: [ INFO] - Train: 164 [ 0/65 (100%)] Loss: 0.048847 (0.0488) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.449s, 82.81/s (1.449s, 82.81/s) LR: 2.559e-04 +2023-08-03 01:34:58,698 - train: [ INFO] - Train: 164 [ 50/65 (100%)] Loss: 0.023189 (0.0315) Acc@1: 100.0000 (99.9510) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.29/s (0.363s, 330.79/s) LR: 2.559e-04 +2023-08-03 01:35:03,432 - train: [ INFO] - Train: 164 [ 64/65 (100%)] Loss: 0.014106 (0.0293) Acc@1: 100.0000 (99.9487) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.14/s (0.357s, 335.72/s) LR: 2.559e-04 +2023-08-03 01:35:04,369 - train: [ INFO] - Test: [ 0/7] Time: 0.777 (0.777) Loss: 1.1177 (1.1177) Acc@1: 71.6667 (71.6667)Acc@5: 87.5000 (87.5000) + +2023-08-03 01:35:05,969 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.297) Loss: 0.8076 (1.1090) Acc@1: 83.3333 (73.9080)Acc@5: 93.3333 (89.0805) + +2023-08-03 01:35:07,693 - train: [ INFO] - Train: 165 [ 0/65 (100%)] Loss: 0.017138 (0.0171) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.451s, 82.72/s (1.451s, 82.72/s) LR: 2.529e-04 +2023-08-03 01:35:24,633 - train: [ INFO] - Train: 165 [ 50/65 (100%)] Loss: 0.017149 (0.0180) Acc@1: 100.0000 (99.9673) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.50/s (0.361s, 332.80/s) LR: 2.529e-04 +2023-08-03 01:35:29,431 - train: [ INFO] - Train: 165 [ 64/65 (100%)] Loss: 0.010908 (0.0169) Acc@1: 100.0000 (99.9744) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.67/s (0.357s, 336.38/s) LR: 2.529e-04 +2023-08-03 01:35:30,402 - train: [ INFO] - Test: [ 0/7] Time: 0.818 (0.818) Loss: 1.4935 (1.4935) Acc@1: 67.5000 (67.5000)Acc@5: 85.8333 (85.8333) + +2023-08-03 01:35:31,999 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.302) Loss: 1.6556 (1.1405) Acc@1: 66.6667 (74.0230)Acc@5: 86.6667 (88.8506) + +2023-08-03 01:35:33,761 - train: [ INFO] - Train: 166 [ 0/65 (100%)] Loss: 0.011039 (0.0110) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.487s, 80.68/s (1.487s, 80.68/s) LR: 2.499e-04 +2023-08-03 01:35:50,730 - train: [ INFO] - Train: 166 [ 50/65 (100%)] Loss: 0.017737 (0.0124) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.56/s (0.362s, 331.62/s) LR: 2.499e-04 +2023-08-03 01:35:55,434 - train: [ INFO] - Train: 166 [ 64/65 (100%)] Loss: 0.009502 (0.0121) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.54/s (0.356s, 336.82/s) LR: 2.499e-04 +2023-08-03 01:35:56,423 - train: [ INFO] - Test: [ 0/7] Time: 0.798 (0.798) Loss: 1.1027 (1.1027) Acc@1: 75.0000 (75.0000)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:35:58,028 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.300) Loss: 1.1251 (1.0812) Acc@1: 73.3333 (74.5977)Acc@5: 90.0000 (89.6552) + +2023-08-03 01:35:59,795 - train: [ INFO] - Train: 167 [ 0/65 (100%)] Loss: 0.010647 (0.0106) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.492s, 80.44/s (1.492s, 80.44/s) LR: 2.470e-04 +2023-08-03 01:36:16,858 - train: [ INFO] - Train: 167 [ 50/65 (100%)] Loss: 0.009197 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.91/s (0.364s, 329.86/s) LR: 2.470e-04 +2023-08-03 01:36:21,629 - train: [ INFO] - Train: 167 [ 64/65 (100%)] Loss: 0.009402 (0.0103) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 358.91/s (0.359s, 334.43/s) LR: 2.470e-04 +2023-08-03 01:36:22,590 - train: [ INFO] - Test: [ 0/7] Time: 0.779 (0.779) Loss: 1.1201 (1.1201) Acc@1: 73.3333 (73.3333)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:36:24,104 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.287) Loss: 1.5280 (1.0326) Acc@1: 66.6667 (75.8621)Acc@5: 83.3333 (89.6552) + +2023-08-03 01:36:25,857 - train: [ INFO] - Train: 168 [ 0/65 (100%)] Loss: 0.009565 (0.0096) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.467s, 81.82/s (1.467s, 81.82/s) LR: 2.440e-04 +2023-08-03 01:36:42,801 - train: [ INFO] - Train: 168 [ 50/65 (100%)] Loss: 0.008488 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.58/s (0.361s, 332.46/s) LR: 2.440e-04 +2023-08-03 01:36:47,583 - train: [ INFO] - Train: 168 [ 64/65 (100%)] Loss: 0.008493 (0.0095) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.35/s (0.357s, 336.36/s) LR: 2.440e-04 +2023-08-03 01:36:48,527 - train: [ INFO] - Test: [ 0/7] Time: 0.808 (0.808) Loss: 1.1926 (1.1926) Acc@1: 70.8333 (70.8333)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:36:50,134 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.302) Loss: 1.1166 (1.0545) Acc@1: 70.0000 (75.8621)Acc@5: 83.3333 (89.4253) + +2023-08-03 01:36:51,863 - train: [ INFO] - Train: 169 [ 0/65 (100%)] Loss: 0.010397 (0.0104) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.485s, 80.81/s (1.485s, 80.81/s) LR: 2.410e-04 +2023-08-03 01:37:08,899 - train: [ INFO] - Train: 169 [ 50/65 (100%)] Loss: 0.008669 (0.0090) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.92/s (0.363s, 330.46/s) LR: 2.410e-04 +2023-08-03 01:37:13,600 - train: [ INFO] - Train: 169 [ 64/65 (100%)] Loss: 0.008835 (0.0089) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.78/s (0.357s, 335.92/s) LR: 2.410e-04 +2023-08-03 01:37:14,527 - train: [ INFO] - Test: [ 0/7] Time: 0.783 (0.783) Loss: 1.1286 (1.1286) Acc@1: 70.8333 (70.8333)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:37:16,068 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.290) Loss: 1.6912 (1.0762) Acc@1: 70.0000 (75.0575)Acc@5: 86.6667 (90.1149) + +2023-08-03 01:37:17,829 - train: [ INFO] - Train: 170 [ 0/65 (100%)] Loss: 0.009310 (0.0093) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.504s, 79.79/s (1.504s, 79.79/s) LR: 2.381e-04 +2023-08-03 01:37:34,887 - train: [ INFO] - Train: 170 [ 50/65 (100%)] Loss: 0.008683 (0.0088) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.45/s (0.364s, 329.74/s) LR: 2.381e-04 +2023-08-03 01:37:39,664 - train: [ INFO] - Train: 170 [ 64/65 (100%)] Loss: 0.008407 (0.0088) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.51/s (0.359s, 334.24/s) LR: 2.381e-04 +2023-08-03 01:37:40,634 - train: [ INFO] - Test: [ 0/7] Time: 0.801 (0.801) Loss: 0.8836 (0.8836) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:37:42,179 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.293) Loss: 1.5238 (1.0466) Acc@1: 70.0000 (76.0920)Acc@5: 90.0000 (90.2299) + +2023-08-03 01:37:43,932 - train: [ INFO] - Train: 171 [ 0/65 (100%)] Loss: 0.007757 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.464s, 81.95/s (1.464s, 81.95/s) LR: 2.352e-04 +2023-08-03 01:38:00,846 - train: [ INFO] - Train: 171 [ 50/65 (100%)] Loss: 0.007452 (0.0081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.56/s (0.360s, 333.03/s) LR: 2.352e-04 +2023-08-03 01:38:05,619 - train: [ INFO] - Train: 171 [ 64/65 (100%)] Loss: 0.008054 (0.0080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.88/s (0.356s, 336.94/s) LR: 2.352e-04 +2023-08-03 01:38:06,619 - train: [ INFO] - Test: [ 0/7] Time: 0.820 (0.820) Loss: 0.8667 (0.8667) Acc@1: 78.3333 (78.3333)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:38:08,201 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.300) Loss: 0.8333 (1.0373) Acc@1: 80.0000 (76.0920)Acc@5: 96.6667 (90.2299) + +2023-08-03 01:38:09,957 - train: [ INFO] - Train: 172 [ 0/65 (100%)] Loss: 0.007350 (0.0074) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.444s, 83.12/s (1.444s, 83.12/s) LR: 2.322e-04 +2023-08-03 01:38:26,917 - train: [ INFO] - Train: 172 [ 50/65 (100%)] Loss: 0.007516 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.18/s (0.361s, 332.57/s) LR: 2.322e-04 +2023-08-03 01:38:31,667 - train: [ INFO] - Train: 172 [ 64/65 (100%)] Loss: 0.007902 (0.0078) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 356.82/s (0.356s, 336.92/s) LR: 2.322e-04 +2023-08-03 01:38:32,623 - train: [ INFO] - Test: [ 0/7] Time: 0.802 (0.802) Loss: 0.8076 (0.8076) Acc@1: 77.5000 (77.5000)Acc@5: 94.1667 (94.1667) + +2023-08-03 01:38:34,153 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.292) Loss: 1.0869 (1.0577) Acc@1: 80.0000 (75.4023)Acc@5: 83.3333 (89.3103) + +2023-08-03 01:38:35,910 - train: [ INFO] - Train: 173 [ 0/65 (100%)] Loss: 0.007291 (0.0073) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.499s, 80.05/s (1.499s, 80.05/s) LR: 2.293e-04 +2023-08-03 01:38:52,965 - train: [ INFO] - Train: 173 [ 50/65 (100%)] Loss: 0.007089 (0.0080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.36/s (0.364s, 329.87/s) LR: 2.293e-04 +2023-08-03 01:38:57,724 - train: [ INFO] - Train: 173 [ 64/65 (100%)] Loss: 0.007615 (0.0079) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.50/s (0.359s, 334.61/s) LR: 2.293e-04 +2023-08-03 01:38:58,620 - train: [ INFO] - Test: [ 0/7] Time: 0.767 (0.767) Loss: 1.1431 (1.1431) Acc@1: 75.0000 (75.0000)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:39:00,204 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.294) Loss: 1.2249 (1.0266) Acc@1: 76.6667 (76.0920)Acc@5: 90.0000 (90.2299) + +2023-08-03 01:39:01,917 - train: [ INFO] - Train: 174 [ 0/65 (100%)] Loss: 0.007353 (0.0074) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.473s, 81.46/s (1.473s, 81.46/s) LR: 2.264e-04 +2023-08-03 01:39:18,843 - train: [ INFO] - Train: 174 [ 50/65 (100%)] Loss: 0.007112 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.69/s (0.361s, 332.65/s) LR: 2.264e-04 +2023-08-03 01:39:23,616 - train: [ INFO] - Train: 174 [ 64/65 (100%)] Loss: 0.007435 (0.0076) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.15/s (0.356s, 336.63/s) LR: 2.264e-04 +2023-08-03 01:39:24,587 - train: [ INFO] - Test: [ 0/7] Time: 0.819 (0.819) Loss: 0.9300 (0.9300) Acc@1: 78.3333 (78.3333)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:39:26,125 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.295) Loss: 0.7023 (1.0439) Acc@1: 86.6667 (76.4368)Acc@5: 93.3333 (90.0000) + +2023-08-03 01:39:27,885 - train: [ INFO] - Train: 175 [ 0/65 (100%)] Loss: 0.007395 (0.0074) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.497s, 80.14/s (1.497s, 80.14/s) LR: 2.234e-04 +2023-08-03 01:39:44,809 - train: [ INFO] - Train: 175 [ 50/65 (100%)] Loss: 0.007265 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.13/s (0.361s, 332.24/s) LR: 2.234e-04 +2023-08-03 01:39:49,557 - train: [ INFO] - Train: 175 [ 64/65 (100%)] Loss: 0.008139 (0.0075) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.23/s (0.356s, 336.67/s) LR: 2.234e-04 +2023-08-03 01:39:50,499 - train: [ INFO] - Test: [ 0/7] Time: 0.796 (0.796) Loss: 1.0122 (1.0122) Acc@1: 75.8333 (75.8333)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:39:52,029 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.291) Loss: 1.8578 (1.0814) Acc@1: 66.6667 (75.8621)Acc@5: 73.3333 (88.9655) + +2023-08-03 01:39:53,920 - train: [ INFO] - Train: 176 [ 0/65 (100%)] Loss: 0.007687 (0.0077) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.625s, 73.87/s (1.625s, 73.87/s) LR: 2.205e-04 +2023-08-03 01:40:10,918 - train: [ INFO] - Train: 176 [ 50/65 (100%)] Loss: 0.006650 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 359.68/s (0.365s, 328.64/s) LR: 2.205e-04 +2023-08-03 01:40:15,644 - train: [ INFO] - Train: 176 [ 64/65 (100%)] Loss: 0.007060 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 356.62/s (0.359s, 334.09/s) LR: 2.205e-04 +2023-08-03 01:40:16,576 - train: [ INFO] - Test: [ 0/7] Time: 0.794 (0.794) Loss: 0.9813 (0.9813) Acc@1: 76.6667 (76.6667)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:40:18,173 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.299) Loss: 1.1433 (1.0473) Acc@1: 76.6667 (76.4368)Acc@5: 83.3333 (90.1149) + +2023-08-03 01:40:19,962 - train: [ INFO] - Train: 177 [ 0/65 (100%)] Loss: 0.007072 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.497s, 80.15/s (1.497s, 80.15/s) LR: 2.176e-04 +2023-08-03 01:40:36,896 - train: [ INFO] - Train: 177 [ 50/65 (100%)] Loss: 0.007170 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.39/s (0.361s, 332.06/s) LR: 2.176e-04 +2023-08-03 01:40:41,669 - train: [ INFO] - Train: 177 [ 64/65 (100%)] Loss: 0.006815 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.35/s (0.357s, 336.17/s) LR: 2.176e-04 +2023-08-03 01:40:42,576 - train: [ INFO] - Test: [ 0/7] Time: 0.776 (0.776) Loss: 0.9060 (0.9060) Acc@1: 80.8333 (80.8333)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:40:44,193 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.299) Loss: 1.1802 (1.0970) Acc@1: 66.6667 (75.9770)Acc@5: 90.0000 (89.0805) + +2023-08-03 01:40:45,927 - train: [ INFO] - Train: 178 [ 0/65 (100%)] Loss: 0.006597 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.461s, 82.13/s (1.461s, 82.13/s) LR: 2.147e-04 +2023-08-03 01:41:02,919 - train: [ INFO] - Train: 178 [ 50/65 (100%)] Loss: 0.006711 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.60/s (0.362s, 331.67/s) LR: 2.147e-04 +2023-08-03 01:41:07,651 - train: [ INFO] - Train: 178 [ 64/65 (100%)] Loss: 0.007421 (0.0071) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 356.61/s (0.357s, 336.45/s) LR: 2.147e-04 +2023-08-03 01:41:08,622 - train: [ INFO] - Test: [ 0/7] Time: 0.795 (0.795) Loss: 0.9916 (0.9916) Acc@1: 77.5000 (77.5000)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:41:10,206 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.297) Loss: 0.4900 (1.0209) Acc@1: 86.6667 (77.5862)Acc@5: 100.0000 (90.0000) + +2023-08-03 01:41:11,929 - train: [ INFO] - Train: 179 [ 0/65 (100%)] Loss: 0.006803 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.434s, 83.70/s (1.434s, 83.70/s) LR: 2.119e-04 +2023-08-03 01:41:28,825 - train: [ INFO] - Train: 179 [ 50/65 (100%)] Loss: 0.006936 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 358.92/s (0.359s, 333.92/s) LR: 2.119e-04 +2023-08-03 01:41:33,590 - train: [ INFO] - Train: 179 [ 64/65 (100%)] Loss: 0.006500 (0.0069) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.51/s (0.355s, 337.76/s) LR: 2.119e-04 +2023-08-03 01:41:34,537 - train: [ INFO] - Test: [ 0/7] Time: 0.815 (0.815) Loss: 0.6863 (0.6863) Acc@1: 86.6667 (86.6667)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:41:36,160 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.305) Loss: 1.6090 (1.0541) Acc@1: 70.0000 (76.7816)Acc@5: 80.0000 (89.6552) + +2023-08-03 01:41:37,963 - train: [ INFO] - Train: 180 [ 0/65 (100%)] Loss: 0.006526 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.510s, 79.47/s (1.510s, 79.47/s) LR: 2.090e-04 +2023-08-03 01:41:54,958 - train: [ INFO] - Train: 180 [ 50/65 (100%)] Loss: 0.006458 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.91/s (0.363s, 330.75/s) LR: 2.090e-04 +2023-08-03 01:41:59,695 - train: [ INFO] - Train: 180 [ 64/65 (100%)] Loss: 0.006504 (0.0068) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.32/s (0.358s, 335.63/s) LR: 2.090e-04 +2023-08-03 01:42:00,682 - train: [ INFO] - Test: [ 0/7] Time: 0.824 (0.824) Loss: 1.1804 (1.1804) Acc@1: 74.1667 (74.1667)Acc@5: 87.5000 (87.5000) + +2023-08-03 01:42:02,275 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.302) Loss: 1.0510 (1.0386) Acc@1: 73.3333 (77.1264)Acc@5: 86.6667 (89.4253) + +2023-08-03 01:42:04,064 - train: [ INFO] - Train: 181 [ 0/65 (100%)] Loss: 0.006980 (0.0070) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.497s, 80.14/s (1.497s, 80.14/s) LR: 2.061e-04 +2023-08-03 01:42:21,126 - train: [ INFO] - Train: 181 [ 50/65 (100%)] Loss: 0.006777 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.39/s (0.364s, 329.78/s) LR: 2.061e-04 +2023-08-03 01:42:25,910 - train: [ INFO] - Train: 181 [ 64/65 (100%)] Loss: 0.006629 (0.0067) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.74/s (0.359s, 334.17/s) LR: 2.061e-04 +2023-08-03 01:42:26,857 - train: [ INFO] - Test: [ 0/7] Time: 0.819 (0.819) Loss: 1.1422 (1.1422) Acc@1: 73.3333 (73.3333)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:42:28,421 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.298) Loss: 0.5152 (1.0127) Acc@1: 93.3333 (76.6667)Acc@5: 96.6667 (90.1149) + +2023-08-03 01:42:30,108 - train: [ INFO] - Train: 182 [ 0/65 (100%)] Loss: 0.006552 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.428s, 84.03/s (1.428s, 84.03/s) LR: 2.033e-04 +2023-08-03 01:42:47,027 - train: [ INFO] - Train: 182 [ 50/65 (100%)] Loss: 0.006291 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.30/s (0.360s, 333.59/s) LR: 2.033e-04 +2023-08-03 01:42:51,805 - train: [ INFO] - Train: 182 [ 64/65 (100%)] Loss: 0.006538 (0.0066) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.21/s (0.356s, 337.33/s) LR: 2.033e-04 +2023-08-03 01:42:52,764 - train: [ INFO] - Test: [ 0/7] Time: 0.830 (0.830) Loss: 0.7406 (0.7406) Acc@1: 81.6667 (81.6667)Acc@5: 94.1667 (94.1667) + +2023-08-03 01:42:54,388 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.307) Loss: 0.9431 (1.0371) Acc@1: 83.3333 (76.8966)Acc@5: 96.6667 (90.3448) + +2023-08-03 01:42:56,192 - train: [ INFO] - Train: 183 [ 0/65 (100%)] Loss: 0.006420 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.549s, 77.48/s (1.549s, 77.48/s) LR: 2.004e-04 +2023-08-03 01:43:13,238 - train: [ INFO] - Train: 183 [ 50/65 (100%)] Loss: 0.007328 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.35/s (0.365s, 329.16/s) LR: 2.004e-04 +2023-08-03 01:43:17,945 - train: [ INFO] - Train: 183 [ 64/65 (100%)] Loss: 0.006128 (0.0065) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.24/s (0.358s, 334.79/s) LR: 2.004e-04 +2023-08-03 01:43:18,893 - train: [ INFO] - Test: [ 0/7] Time: 0.800 (0.800) Loss: 0.9654 (0.9654) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:43:20,394 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.288) Loss: 1.5801 (1.0261) Acc@1: 66.6667 (76.3218)Acc@5: 83.3333 (90.0000) + +2023-08-03 01:43:22,211 - train: [ INFO] - Train: 184 [ 0/65 (100%)] Loss: 0.006128 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.531s, 78.40/s (1.531s, 78.40/s) LR: 1.976e-04 +2023-08-03 01:43:39,317 - train: [ INFO] - Train: 184 [ 50/65 (100%)] Loss: 0.006069 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.347s, 345.74/s (0.365s, 328.41/s) LR: 1.976e-04 +2023-08-03 01:43:44,109 - train: [ INFO] - Train: 184 [ 64/65 (100%)] Loss: 0.006290 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.05/s (0.360s, 332.96/s) LR: 1.976e-04 +2023-08-03 01:43:45,064 - train: [ INFO] - Test: [ 0/7] Time: 0.806 (0.806) Loss: 1.0311 (1.0311) Acc@1: 75.8333 (75.8333)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:43:46,670 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.301) Loss: 1.3185 (1.0302) Acc@1: 63.3333 (77.0115)Acc@5: 83.3333 (90.6897) + +2023-08-03 01:43:48,427 - train: [ INFO] - Train: 185 [ 0/65 (100%)] Loss: 0.006207 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.475s, 81.37/s (1.475s, 81.37/s) LR: 1.948e-04 +2023-08-03 01:44:05,358 - train: [ INFO] - Train: 185 [ 50/65 (100%)] Loss: 0.006366 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 347.98/s (0.361s, 332.55/s) LR: 1.948e-04 +2023-08-03 01:44:10,125 - train: [ INFO] - Train: 185 [ 64/65 (100%)] Loss: 0.006409 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.37/s (0.356s, 336.65/s) LR: 1.948e-04 +2023-08-03 01:44:11,049 - train: [ INFO] - Test: [ 0/7] Time: 0.782 (0.782) Loss: 1.0992 (1.0992) Acc@1: 75.8333 (75.8333)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:44:12,613 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.293) Loss: 0.8937 (1.0355) Acc@1: 86.6667 (76.8966)Acc@5: 90.0000 (89.7701) + +2023-08-03 01:44:14,323 - train: [ INFO] - Train: 186 [ 0/65 (100%)] Loss: 0.005841 (0.0058) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.458s, 82.32/s (1.458s, 82.32/s) LR: 1.920e-04 +2023-08-03 01:44:31,335 - train: [ INFO] - Train: 186 [ 50/65 (100%)] Loss: 0.006229 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.25/s (0.362s, 331.37/s) LR: 1.920e-04 +2023-08-03 01:44:36,047 - train: [ INFO] - Train: 186 [ 64/65 (100%)] Loss: 0.005957 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.83/s (0.357s, 336.51/s) LR: 1.920e-04 +2023-08-03 01:44:36,985 - train: [ INFO] - Test: [ 0/7] Time: 0.794 (0.794) Loss: 1.2383 (1.2383) Acc@1: 73.3333 (73.3333)Acc@5: 85.0000 (85.0000) + +2023-08-03 01:44:38,502 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.289) Loss: 0.7603 (1.0575) Acc@1: 80.0000 (76.8966)Acc@5: 90.0000 (89.3104) + +2023-08-03 01:44:40,251 - train: [ INFO] - Train: 187 [ 0/65 (100%)] Loss: 0.006380 (0.0064) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.479s, 81.11/s (1.479s, 81.11/s) LR: 1.892e-04 +2023-08-03 01:44:57,307 - train: [ INFO] - Train: 187 [ 50/65 (100%)] Loss: 0.006350 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 347.67/s (0.363s, 330.20/s) LR: 1.892e-04 +2023-08-03 01:45:02,105 - train: [ INFO] - Train: 187 [ 64/65 (100%)] Loss: 0.006125 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.37/s (0.359s, 334.32/s) LR: 1.892e-04 +2023-08-03 01:45:03,091 - train: [ INFO] - Test: [ 0/7] Time: 0.825 (0.825) Loss: 0.7183 (0.7183) Acc@1: 83.3333 (83.3333)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:45:04,701 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.304) Loss: 1.7716 (0.9994) Acc@1: 56.6667 (77.4713)Acc@5: 86.6667 (89.8851) + +2023-08-03 01:45:06,432 - train: [ INFO] - Train: 188 [ 0/65 (100%)] Loss: 0.006130 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.465s, 81.91/s (1.465s, 81.91/s) LR: 1.864e-04 +2023-08-03 01:45:23,301 - train: [ INFO] - Train: 188 [ 50/65 (100%)] Loss: 0.006041 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.57/s (0.359s, 333.83/s) LR: 1.864e-04 +2023-08-03 01:45:28,073 - train: [ INFO] - Train: 188 [ 64/65 (100%)] Loss: 0.006003 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.47/s (0.355s, 337.60/s) LR: 1.864e-04 +2023-08-03 01:45:29,013 - train: [ INFO] - Test: [ 0/7] Time: 0.813 (0.813) Loss: 0.9657 (0.9657) Acc@1: 81.6667 (81.6667)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:45:30,543 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.293) Loss: 1.3974 (1.0373) Acc@1: 66.6667 (77.3563)Acc@5: 90.0000 (90.2299) + +2023-08-03 01:45:32,305 - train: [ INFO] - Train: 189 [ 0/65 (100%)] Loss: 0.006303 (0.0063) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.498s, 80.09/s (1.498s, 80.09/s) LR: 1.836e-04 +2023-08-03 01:45:49,290 - train: [ INFO] - Train: 189 [ 50/65 (100%)] Loss: 0.006002 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.50/s (0.362s, 331.13/s) LR: 1.836e-04 +2023-08-03 01:45:54,004 - train: [ INFO] - Train: 189 [ 64/65 (100%)] Loss: 0.005876 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.58/s (0.357s, 336.26/s) LR: 1.836e-04 +2023-08-03 01:45:55,012 - train: [ INFO] - Test: [ 0/7] Time: 0.849 (0.849) Loss: 0.9711 (0.9711) Acc@1: 80.0000 (80.0000)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:45:56,552 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.299) Loss: 0.7358 (1.0207) Acc@1: 83.3333 (77.4713)Acc@5: 93.3333 (89.8851) + +2023-08-03 01:45:58,295 - train: [ INFO] - Train: 190 [ 0/65 (100%)] Loss: 0.006173 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.502s, 79.87/s (1.502s, 79.87/s) LR: 1.808e-04 +2023-08-03 01:46:15,303 - train: [ INFO] - Train: 190 [ 50/65 (100%)] Loss: 0.006009 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.95/s (0.363s, 330.64/s) LR: 1.808e-04 +2023-08-03 01:46:20,081 - train: [ INFO] - Train: 190 [ 64/65 (100%)] Loss: 0.005718 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 348.12/s (0.358s, 334.96/s) LR: 1.808e-04 +2023-08-03 01:46:21,091 - train: [ INFO] - Test: [ 0/7] Time: 0.821 (0.821) Loss: 0.8339 (0.8339) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:46:22,656 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 0.8552 (1.0414) Acc@1: 76.6667 (77.1264)Acc@5: 90.0000 (90.1149) + +2023-08-03 01:46:24,396 - train: [ INFO] - Train: 191 [ 0/65 (100%)] Loss: 0.005615 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.439s, 83.38/s (1.439s, 83.38/s) LR: 1.781e-04 +2023-08-03 01:46:41,338 - train: [ INFO] - Train: 191 [ 50/65 (100%)] Loss: 0.005836 (0.0061) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.08/s (0.360s, 332.97/s) LR: 1.781e-04 +2023-08-03 01:46:46,096 - train: [ INFO] - Train: 191 [ 64/65 (100%)] Loss: 0.005592 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.23/s (0.356s, 337.11/s) LR: 1.781e-04 +2023-08-03 01:46:47,077 - train: [ INFO] - Test: [ 0/7] Time: 0.813 (0.813) Loss: 0.9191 (0.9191) Acc@1: 82.5000 (82.5000)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:46:48,677 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.302) Loss: 1.0816 (1.0393) Acc@1: 70.0000 (76.7816)Acc@5: 93.3333 (90.1149) + +2023-08-03 01:46:50,520 - train: [ INFO] - Train: 192 [ 0/65 (100%)] Loss: 0.006038 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.574s, 76.22/s (1.574s, 76.22/s) LR: 1.754e-04 +2023-08-03 01:47:07,530 - train: [ INFO] - Train: 192 [ 50/65 (100%)] Loss: 0.005732 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.72/s (0.364s, 329.34/s) LR: 1.754e-04 +2023-08-03 01:47:12,273 - train: [ INFO] - Train: 192 [ 64/65 (100%)] Loss: 0.005710 (0.0059) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.90/s (0.359s, 334.41/s) LR: 1.754e-04 +2023-08-03 01:47:13,229 - train: [ INFO] - Test: [ 0/7] Time: 0.813 (0.813) Loss: 0.8196 (0.8196) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:47:14,858 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.305) Loss: 1.0766 (1.0217) Acc@1: 76.6667 (77.3563)Acc@5: 86.6667 (90.3448) + +2023-08-03 01:47:16,626 - train: [ INFO] - Train: 193 [ 0/65 (100%)] Loss: 0.005999 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.500s, 80.02/s (1.500s, 80.02/s) LR: 1.726e-04 +2023-08-03 01:47:33,590 - train: [ INFO] - Train: 193 [ 50/65 (100%)] Loss: 0.005897 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.347s, 345.65/s (0.362s, 331.48/s) LR: 1.726e-04 +2023-08-03 01:47:38,318 - train: [ INFO] - Train: 193 [ 64/65 (100%)] Loss: 0.006118 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.94/s (0.357s, 336.36/s) LR: 1.726e-04 +2023-08-03 01:47:39,247 - train: [ INFO] - Test: [ 0/7] Time: 0.779 (0.779) Loss: 0.8651 (0.8651) Acc@1: 81.6667 (81.6667)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:47:40,824 - train: [ INFO] - Test: [ 7/7] Time: 0.036 (0.294) Loss: 0.9175 (1.0503) Acc@1: 80.0000 (77.4713)Acc@5: 93.3333 (90.4598) + +2023-08-03 01:47:42,612 - train: [ INFO] - Train: 194 [ 0/65 (100%)] Loss: 0.006039 (0.0060) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.501s, 79.94/s (1.501s, 79.94/s) LR: 1.699e-04 +2023-08-03 01:47:59,582 - train: [ INFO] - Train: 194 [ 50/65 (100%)] Loss: 0.005577 (0.0059) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.78/s (0.362s, 331.35/s) LR: 1.699e-04 +2023-08-03 01:48:04,310 - train: [ INFO] - Train: 194 [ 64/65 (100%)] Loss: 0.005909 (0.0059) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.82/s (0.357s, 336.26/s) LR: 1.699e-04 +2023-08-03 01:48:05,262 - train: [ INFO] - Test: [ 0/7] Time: 0.790 (0.790) Loss: 1.0297 (1.0297) Acc@1: 75.8333 (75.8333)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:48:06,834 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.295) Loss: 0.6756 (1.0364) Acc@1: 83.3333 (77.3563)Acc@5: 90.0000 (89.8851) + +2023-08-03 01:48:08,547 - train: [ INFO] - Train: 195 [ 0/65 (100%)] Loss: 0.006168 (0.0062) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.450s, 82.76/s (1.450s, 82.76/s) LR: 1.672e-04 +2023-08-03 01:48:25,515 - train: [ INFO] - Train: 195 [ 50/65 (100%)] Loss: 0.005645 (0.0058) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.74/s (0.361s, 332.32/s) LR: 1.672e-04 +2023-08-03 01:48:30,301 - train: [ INFO] - Train: 195 [ 64/65 (100%)] Loss: 0.005838 (0.0058) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.49/s (0.357s, 336.19/s) LR: 1.672e-04 +2023-08-03 01:48:31,249 - train: [ INFO] - Test: [ 0/7] Time: 0.784 (0.784) Loss: 1.2110 (1.2110) Acc@1: 77.5000 (77.5000)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:48:32,767 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.288) Loss: 0.5048 (1.0437) Acc@1: 90.0000 (77.1264)Acc@5: 100.0000 (88.8506) + +2023-08-03 01:48:34,533 - train: [ INFO] - Train: 196 [ 0/65 (100%)] Loss: 0.005924 (0.0059) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.500s, 79.98/s (1.500s, 79.98/s) LR: 1.646e-04 +2023-08-03 01:48:51,469 - train: [ INFO] - Train: 196 [ 50/65 (100%)] Loss: 0.005616 (0.0057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.72/s (0.361s, 331.97/s) LR: 1.646e-04 +2023-08-03 01:48:56,214 - train: [ INFO] - Train: 196 [ 64/65 (100%)] Loss: 0.005699 (0.0057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.77/s (0.357s, 336.50/s) LR: 1.646e-04 +2023-08-03 01:48:57,167 - train: [ INFO] - Test: [ 0/7] Time: 0.806 (0.806) Loss: 0.9396 (0.9396) Acc@1: 80.8333 (80.8333)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:48:58,695 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.292) Loss: 1.0042 (0.9854) Acc@1: 73.3333 (78.2759)Acc@5: 93.3333 (90.4598) + +2023-08-03 01:48:58,959 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-196.pth.tar', 78.27586601520407) + +2023-08-03 01:49:00,457 - train: [ INFO] - Train: 197 [ 0/65 (100%)] Loss: 0.005870 (0.0059) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.482s, 80.96/s (1.482s, 80.96/s) LR: 1.619e-04 +2023-08-03 01:49:17,448 - train: [ INFO] - Train: 197 [ 50/65 (100%)] Loss: 0.005687 (0.0057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.38/s (0.362s, 331.32/s) LR: 1.619e-04 +2023-08-03 01:49:22,149 - train: [ INFO] - Train: 197 [ 64/65 (100%)] Loss: 0.005591 (0.0057) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 359.69/s (0.356s, 336.61/s) LR: 1.619e-04 +2023-08-03 01:49:23,092 - train: [ INFO] - Test: [ 0/7] Time: 0.775 (0.775) Loss: 0.9157 (0.9157) Acc@1: 80.8333 (80.8333)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:49:24,620 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.288) Loss: 1.1634 (1.0206) Acc@1: 73.3333 (78.5058)Acc@5: 93.3333 (89.5402) + +2023-08-03 01:49:24,888 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-197.pth.tar', 78.50575072189858) + +2023-08-03 01:49:26,359 - train: [ INFO] - Train: 198 [ 0/65 (100%)] Loss: 0.005598 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.453s, 82.59/s (1.453s, 82.59/s) LR: 1.592e-04 +2023-08-03 01:49:43,373 - train: [ INFO] - Train: 198 [ 50/65 (100%)] Loss: 0.005443 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.99/s (0.362s, 331.44/s) LR: 1.592e-04 +2023-08-03 01:49:48,166 - train: [ INFO] - Train: 198 [ 64/65 (100%)] Loss: 0.005556 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.93/s (0.358s, 335.38/s) LR: 1.592e-04 +2023-08-03 01:49:49,124 - train: [ INFO] - Test: [ 0/7] Time: 0.805 (0.805) Loss: 1.2204 (1.2204) Acc@1: 74.1667 (74.1667)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:49:50,735 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.302) Loss: 0.6493 (1.0304) Acc@1: 90.0000 (78.0460)Acc@5: 93.3333 (90.4598) + +2023-08-03 01:49:52,479 - train: [ INFO] - Train: 199 [ 0/65 (100%)] Loss: 0.005350 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.487s, 80.71/s (1.487s, 80.71/s) LR: 1.566e-04 +2023-08-03 01:50:09,391 - train: [ INFO] - Train: 199 [ 50/65 (100%)] Loss: 0.005498 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.57/s (0.361s, 332.66/s) LR: 1.566e-04 +2023-08-03 01:50:14,165 - train: [ INFO] - Train: 199 [ 64/65 (100%)] Loss: 0.005569 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.34/s (0.356s, 336.64/s) LR: 1.566e-04 +2023-08-03 01:50:15,119 - train: [ INFO] - Test: [ 0/7] Time: 0.802 (0.802) Loss: 1.0068 (1.0068) Acc@1: 78.3333 (78.3333)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:50:16,654 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.292) Loss: 0.5086 (0.9897) Acc@1: 93.3333 (78.6207)Acc@5: 96.6667 (90.0000) + +2023-08-03 01:50:16,956 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-199.pth.tar', 78.62069465374124) + +2023-08-03 01:50:18,483 - train: [ INFO] - Train: 200 [ 0/65 (100%)] Loss: 0.005359 (0.0054) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.510s, 79.47/s (1.510s, 79.47/s) LR: 1.540e-04 +2023-08-03 01:50:35,516 - train: [ INFO] - Train: 200 [ 50/65 (100%)] Loss: 0.006405 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.59/s (0.364s, 330.06/s) LR: 1.540e-04 +2023-08-03 01:50:40,263 - train: [ INFO] - Train: 200 [ 64/65 (100%)] Loss: 0.005480 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.32/s (0.358s, 334.94/s) LR: 1.540e-04 +2023-08-03 01:50:41,219 - train: [ INFO] - Test: [ 0/7] Time: 0.802 (0.802) Loss: 1.0754 (1.0754) Acc@1: 77.5000 (77.5000)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:50:42,736 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.290) Loss: 1.3375 (1.0359) Acc@1: 70.0000 (77.2414)Acc@5: 83.3333 (89.5402) + +2023-08-03 01:50:44,490 - train: [ INFO] - Train: 201 [ 0/65 (100%)] Loss: 0.005443 (0.0054) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.507s, 79.63/s (1.507s, 79.63/s) LR: 1.514e-04 +2023-08-03 01:51:01,530 - train: [ INFO] - Train: 201 [ 50/65 (100%)] Loss: 0.005708 (0.0055) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.17/s (0.364s, 330.00/s) LR: 1.514e-04 +2023-08-03 01:51:06,307 - train: [ INFO] - Train: 201 [ 64/65 (100%)] Loss: 0.005335 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.34/s (0.359s, 334.46/s) LR: 1.514e-04 +2023-08-03 01:51:07,274 - train: [ INFO] - Test: [ 0/7] Time: 0.810 (0.810) Loss: 0.8993 (0.8993) Acc@1: 77.5000 (77.5000)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:51:08,876 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.302) Loss: 0.9494 (0.9932) Acc@1: 76.6667 (77.3563)Acc@5: 90.0000 (90.6897) + +2023-08-03 01:51:10,624 - train: [ INFO] - Train: 202 [ 0/65 (100%)] Loss: 0.005545 (0.0055) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.490s, 80.51/s (1.490s, 80.51/s) LR: 1.488e-04 +2023-08-03 01:51:27,514 - train: [ INFO] - Train: 202 [ 50/65 (100%)] Loss: 0.005520 (0.0055) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.08/s (0.360s, 333.00/s) LR: 1.488e-04 +2023-08-03 01:51:32,265 - train: [ INFO] - Train: 202 [ 64/65 (100%)] Loss: 0.005177 (0.0055) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.19/s (0.356s, 337.24/s) LR: 1.488e-04 +2023-08-03 01:51:33,206 - train: [ INFO] - Test: [ 0/7] Time: 0.799 (0.799) Loss: 1.0630 (1.0630) Acc@1: 76.6667 (76.6667)Acc@5: 86.6667 (86.6667) + +2023-08-03 01:51:34,771 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.295) Loss: 1.5658 (1.0096) Acc@1: 56.6667 (77.1264)Acc@5: 83.3333 (90.4598) + +2023-08-03 01:51:36,536 - train: [ INFO] - Train: 203 [ 0/65 (100%)] Loss: 0.005574 (0.0056) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.477s, 81.24/s (1.477s, 81.24/s) LR: 1.462e-04 +2023-08-03 01:51:53,572 - train: [ INFO] - Train: 203 [ 50/65 (100%)] Loss: 0.005379 (0.0054) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.46/s (0.363s, 330.59/s) LR: 1.462e-04 +2023-08-03 01:51:58,294 - train: [ INFO] - Train: 203 [ 64/65 (100%)] Loss: 0.005584 (0.0055) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.21/s (0.357s, 335.72/s) LR: 1.462e-04 +2023-08-03 01:51:59,255 - train: [ INFO] - Test: [ 0/7] Time: 0.818 (0.818) Loss: 1.1275 (1.1275) Acc@1: 71.6667 (71.6667)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:52:00,814 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.297) Loss: 0.7072 (1.0364) Acc@1: 80.0000 (77.4713)Acc@5: 96.6667 (89.3104) + +2023-08-03 01:52:02,567 - train: [ INFO] - Train: 204 [ 0/65 (100%)] Loss: 0.005543 (0.0055) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.473s, 81.47/s (1.473s, 81.47/s) LR: 1.437e-04 +2023-08-03 01:52:19,565 - train: [ INFO] - Train: 204 [ 50/65 (100%)] Loss: 0.005357 (0.0055) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.20/s (0.362s, 331.36/s) LR: 1.437e-04 +2023-08-03 01:52:24,352 - train: [ INFO] - Train: 204 [ 64/65 (100%)] Loss: 0.005465 (0.0055) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.87/s (0.358s, 335.40/s) LR: 1.437e-04 +2023-08-03 01:52:25,280 - train: [ INFO] - Test: [ 0/7] Time: 0.799 (0.799) Loss: 1.0740 (1.0740) Acc@1: 77.5000 (77.5000)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:52:26,802 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.290) Loss: 1.5349 (1.0153) Acc@1: 70.0000 (77.5862)Acc@5: 86.6667 (91.1494) + +2023-08-03 01:52:28,570 - train: [ INFO] - Train: 205 [ 0/65 (100%)] Loss: 0.005129 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.514s, 79.27/s (1.514s, 79.27/s) LR: 1.411e-04 +2023-08-03 01:52:45,516 - train: [ INFO] - Train: 205 [ 50/65 (100%)] Loss: 0.005273 (0.0054) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.44/s (0.362s, 331.55/s) LR: 1.411e-04 +2023-08-03 01:52:50,244 - train: [ INFO] - Train: 205 [ 64/65 (100%)] Loss: 0.005356 (0.0054) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.80/s (0.357s, 336.40/s) LR: 1.411e-04 +2023-08-03 01:52:51,232 - train: [ INFO] - Test: [ 0/7] Time: 0.821 (0.821) Loss: 0.9940 (0.9940) Acc@1: 76.6667 (76.6667)Acc@5: 91.6667 (91.6667) + +2023-08-03 01:52:52,822 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.301) Loss: 0.6101 (1.0088) Acc@1: 86.6667 (78.0460)Acc@5: 93.3333 (90.2299) + +2023-08-03 01:52:54,518 - train: [ INFO] - Train: 206 [ 0/65 (100%)] Loss: 0.005329 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.428s, 84.00/s (1.428s, 84.00/s) LR: 1.386e-04 +2023-08-03 01:53:11,577 - train: [ INFO] - Train: 206 [ 50/65 (100%)] Loss: 0.005468 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.16/s (0.362s, 331.07/s) LR: 1.386e-04 +2023-08-03 01:53:16,317 - train: [ INFO] - Train: 206 [ 64/65 (100%)] Loss: 0.005159 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.87/s (0.357s, 335.85/s) LR: 1.386e-04 +2023-08-03 01:53:17,249 - train: [ INFO] - Test: [ 0/7] Time: 0.806 (0.806) Loss: 1.1688 (1.1688) Acc@1: 77.5000 (77.5000)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:53:18,817 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.297) Loss: 0.7442 (1.0419) Acc@1: 86.6667 (78.2759)Acc@5: 90.0000 (89.7701) + +2023-08-03 01:53:20,606 - train: [ INFO] - Train: 207 [ 0/65 (100%)] Loss: 0.005134 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.527s, 78.56/s (1.527s, 78.56/s) LR: 1.361e-04 +2023-08-03 01:53:37,585 - train: [ INFO] - Train: 207 [ 50/65 (100%)] Loss: 0.005419 (0.0054) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.14/s (0.363s, 330.72/s) LR: 1.361e-04 +2023-08-03 01:53:42,354 - train: [ INFO] - Train: 207 [ 64/65 (100%)] Loss: 0.005145 (0.0054) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.70/s (0.358s, 335.15/s) LR: 1.361e-04 +2023-08-03 01:53:43,292 - train: [ INFO] - Test: [ 0/7] Time: 0.795 (0.795) Loss: 0.9134 (0.9134) Acc@1: 80.0000 (80.0000)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:53:44,829 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.292) Loss: 1.0618 (1.0168) Acc@1: 80.0000 (78.5058)Acc@5: 86.6667 (89.1954) + +2023-08-03 01:53:46,568 - train: [ INFO] - Train: 208 [ 0/65 (100%)] Loss: 0.005307 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.498s, 80.12/s (1.498s, 80.12/s) LR: 1.336e-04 +2023-08-03 01:54:03,541 - train: [ INFO] - Train: 208 [ 50/65 (100%)] Loss: 0.005463 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 356.94/s (0.362s, 331.35/s) LR: 1.336e-04 +2023-08-03 01:54:08,241 - train: [ INFO] - Train: 208 [ 64/65 (100%)] Loss: 0.005429 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.39/s (0.356s, 336.66/s) LR: 1.336e-04 +2023-08-03 01:54:09,213 - train: [ INFO] - Test: [ 0/7] Time: 0.819 (0.819) Loss: 0.8541 (0.8541) Acc@1: 76.6667 (76.6667)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:54:10,792 - train: [ INFO] - Test: [ 7/7] Time: 0.036 (0.300) Loss: 0.4533 (1.0353) Acc@1: 86.6667 (77.1264)Acc@5: 96.6667 (89.5402) + +2023-08-03 01:54:12,551 - train: [ INFO] - Train: 209 [ 0/65 (100%)] Loss: 0.005316 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.472s, 81.50/s (1.472s, 81.50/s) LR: 1.312e-04 +2023-08-03 01:54:29,575 - train: [ INFO] - Train: 209 [ 50/65 (100%)] Loss: 0.005379 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 347.78/s (0.363s, 330.90/s) LR: 1.312e-04 +2023-08-03 01:54:34,355 - train: [ INFO] - Train: 209 [ 64/65 (100%)] Loss: 0.005258 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.43/s (0.358s, 335.14/s) LR: 1.312e-04 +2023-08-03 01:54:35,313 - train: [ INFO] - Test: [ 0/7] Time: 0.815 (0.815) Loss: 1.2342 (1.2342) Acc@1: 75.8333 (75.8333)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:54:36,829 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.291) Loss: 0.6868 (1.0104) Acc@1: 76.6667 (78.6207)Acc@5: 100.0000 (90.3448) + +2023-08-03 01:54:38,591 - train: [ INFO] - Train: 210 [ 0/65 (100%)] Loss: 0.005197 (0.0052) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.483s, 80.90/s (1.483s, 80.90/s) LR: 1.287e-04 +2023-08-03 01:54:55,495 - train: [ INFO] - Train: 210 [ 50/65 (100%)] Loss: 0.005267 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.65/s (0.361s, 332.87/s) LR: 1.287e-04 +2023-08-03 01:55:00,280 - train: [ INFO] - Train: 210 [ 64/65 (100%)] Loss: 0.005181 (0.0053) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.10/s (0.356s, 336.65/s) LR: 1.287e-04 +2023-08-03 01:55:01,281 - train: [ INFO] - Test: [ 0/7] Time: 0.843 (0.843) Loss: 0.9137 (0.9137) Acc@1: 77.5000 (77.5000)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:55:02,859 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.303) Loss: 1.2638 (1.0691) Acc@1: 70.0000 (77.0115)Acc@5: 80.0000 (89.5402) + +2023-08-03 01:55:04,623 - train: [ INFO] - Train: 211 [ 0/65 (100%)] Loss: 0.005372 (0.0054) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.488s, 80.65/s (1.488s, 80.65/s) LR: 1.263e-04 +2023-08-03 01:55:21,645 - train: [ INFO] - Train: 211 [ 50/65 (100%)] Loss: 0.005155 (0.0052) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.73/s (0.363s, 330.66/s) LR: 1.263e-04 +2023-08-03 01:55:26,375 - train: [ INFO] - Train: 211 [ 64/65 (100%)] Loss: 0.005091 (0.0052) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 359.05/s (0.357s, 335.67/s) LR: 1.263e-04 +2023-08-03 01:55:27,313 - train: [ INFO] - Test: [ 0/7] Time: 0.796 (0.796) Loss: 0.9234 (0.9234) Acc@1: 77.5000 (77.5000)Acc@5: 93.3333 (93.3333) + +2023-08-03 01:55:28,817 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.288) Loss: 0.6792 (1.0572) Acc@1: 83.3333 (76.8966)Acc@5: 93.3333 (89.5402) + +2023-08-03 01:55:30,620 - train: [ INFO] - Train: 212 [ 0/65 (100%)] Loss: 0.005829 (0.0058) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.511s, 79.42/s (1.511s, 79.42/s) LR: 1.239e-04 +2023-08-03 01:55:47,657 - train: [ INFO] - Train: 212 [ 50/65 (100%)] Loss: 0.004982 (0.0052) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.76/s (0.364s, 329.98/s) LR: 1.239e-04 +2023-08-03 01:55:52,458 - train: [ INFO] - Train: 212 [ 64/65 (100%)] Loss: 0.005287 (0.0052) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.85/s (0.359s, 334.09/s) LR: 1.239e-04 +2023-08-03 01:55:53,407 - train: [ INFO] - Test: [ 0/7] Time: 0.808 (0.808) Loss: 0.9056 (0.9056) Acc@1: 80.0000 (80.0000)Acc@5: 90.0000 (90.0000) + +2023-08-03 01:55:54,974 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.297) Loss: 0.7346 (1.0523) Acc@1: 80.0000 (78.1609)Acc@5: 90.0000 (89.5402) + +2023-08-03 01:55:56,777 - train: [ INFO] - Train: 213 [ 0/65 (100%)] Loss: 0.005150 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.528s, 78.54/s (1.528s, 78.54/s) LR: 1.215e-04 +2023-08-03 01:56:13,705 - train: [ INFO] - Train: 213 [ 50/65 (100%)] Loss: 0.005388 (0.0052) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.80/s (0.362s, 331.63/s) LR: 1.215e-04 +2023-08-03 01:56:18,478 - train: [ INFO] - Train: 213 [ 64/65 (100%)] Loss: 0.005004 (0.0052) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.71/s (0.357s, 335.82/s) LR: 1.215e-04 +2023-08-03 01:56:19,427 - train: [ INFO] - Test: [ 0/7] Time: 0.827 (0.827) Loss: 0.9963 (0.9963) Acc@1: 79.1667 (79.1667)Acc@5: 90.8333 (90.8333) + +2023-08-03 01:56:20,980 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.297) Loss: 0.7551 (1.0512) Acc@1: 83.3333 (77.1264)Acc@5: 96.6667 (89.8851) + +2023-08-03 01:56:22,728 - train: [ INFO] - Train: 214 [ 0/65 (100%)] Loss: 0.005183 (0.0052) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.471s, 81.58/s (1.471s, 81.58/s) LR: 1.191e-04 +2023-08-03 01:56:39,760 - train: [ INFO] - Train: 214 [ 50/65 (100%)] Loss: 0.005210 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.96/s (0.363s, 330.78/s) LR: 1.191e-04 +2023-08-03 01:56:44,485 - train: [ INFO] - Train: 214 [ 64/65 (100%)] Loss: 0.005281 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.41/s (0.357s, 335.83/s) LR: 1.191e-04 +2023-08-03 01:56:45,453 - train: [ INFO] - Test: [ 0/7] Time: 0.812 (0.812) Loss: 1.1639 (1.1639) Acc@1: 74.1667 (74.1667)Acc@5: 88.3333 (88.3333) + +2023-08-03 01:56:46,959 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.290) Loss: 1.3183 (1.0467) Acc@1: 76.6667 (77.2414)Acc@5: 93.3333 (89.5402) + +2023-08-03 01:56:48,744 - train: [ INFO] - Train: 215 [ 0/65 (100%)] Loss: 0.005121 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.485s, 80.79/s (1.485s, 80.79/s) LR: 1.167e-04 +2023-08-03 01:57:05,802 - train: [ INFO] - Train: 215 [ 50/65 (100%)] Loss: 0.004805 (0.0050) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 348.24/s (0.364s, 330.08/s) LR: 1.167e-04 +2023-08-03 01:57:10,575 - train: [ INFO] - Train: 215 [ 64/65 (100%)] Loss: 0.005164 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.74/s (0.359s, 334.57/s) LR: 1.167e-04 +2023-08-03 01:57:11,523 - train: [ INFO] - Test: [ 0/7] Time: 0.800 (0.800) Loss: 0.8497 (0.8497) Acc@1: 82.5000 (82.5000)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:57:13,150 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.303) Loss: 1.0801 (1.0197) Acc@1: 80.0000 (77.5862)Acc@5: 90.0000 (90.3448) + +2023-08-03 01:57:14,923 - train: [ INFO] - Train: 216 [ 0/65 (100%)] Loss: 0.005211 (0.0052) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.508s, 79.56/s (1.508s, 79.56/s) LR: 1.144e-04 +2023-08-03 01:57:31,818 - train: [ INFO] - Train: 216 [ 50/65 (100%)] Loss: 0.005297 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.09/s (0.361s, 332.58/s) LR: 1.144e-04 +2023-08-03 01:57:36,598 - train: [ INFO] - Train: 216 [ 64/65 (100%)] Loss: 0.005017 (0.0050) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.42/s (0.357s, 336.47/s) LR: 1.144e-04 +2023-08-03 01:57:37,593 - train: [ INFO] - Test: [ 0/7] Time: 0.833 (0.833) Loss: 0.8823 (0.8823) Acc@1: 76.6667 (76.6667)Acc@5: 95.8333 (95.8333) + +2023-08-03 01:57:39,173 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.302) Loss: 1.2651 (0.9942) Acc@1: 70.0000 (78.9655)Acc@5: 83.3333 (90.5747) + +2023-08-03 01:57:39,417 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-216.pth.tar', 78.96552250303071) + +2023-08-03 01:57:40,942 - train: [ INFO] - Train: 217 [ 0/65 (100%)] Loss: 0.005073 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.511s, 79.44/s (1.511s, 79.44/s) LR: 1.121e-04 +2023-08-03 01:57:57,977 - train: [ INFO] - Train: 217 [ 50/65 (100%)] Loss: 0.005428 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.47/s (0.364s, 330.02/s) LR: 1.121e-04 +2023-08-03 01:58:02,715 - train: [ INFO] - Train: 217 [ 64/65 (100%)] Loss: 0.005096 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.67/s (0.358s, 335.04/s) LR: 1.121e-04 +2023-08-03 01:58:03,661 - train: [ INFO] - Test: [ 0/7] Time: 0.818 (0.818) Loss: 1.3909 (1.3909) Acc@1: 73.3333 (73.3333)Acc@5: 85.8333 (85.8333) + +2023-08-03 01:58:05,240 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.300) Loss: 0.8612 (0.9880) Acc@1: 76.6667 (78.8506)Acc@5: 96.6667 (90.4598) + +2023-08-03 01:58:06,979 - train: [ INFO] - Train: 218 [ 0/65 (100%)] Loss: 0.004800 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.474s, 81.38/s (1.474s, 81.38/s) LR: 1.098e-04 +2023-08-03 01:58:23,999 - train: [ INFO] - Train: 218 [ 50/65 (100%)] Loss: 0.004841 (0.0050) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.97/s (0.363s, 330.94/s) LR: 1.098e-04 +2023-08-03 01:58:28,784 - train: [ INFO] - Train: 218 [ 64/65 (100%)] Loss: 0.004866 (0.0050) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.31/s (0.358s, 335.10/s) LR: 1.098e-04 +2023-08-03 01:58:29,731 - train: [ INFO] - Test: [ 0/7] Time: 0.806 (0.806) Loss: 0.9713 (0.9713) Acc@1: 77.5000 (77.5000)Acc@5: 89.1667 (89.1667) + +2023-08-03 01:58:31,252 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.291) Loss: 1.0708 (1.0301) Acc@1: 73.3333 (77.9310)Acc@5: 83.3333 (90.2299) + +2023-08-03 01:58:33,010 - train: [ INFO] - Train: 219 [ 0/65 (100%)] Loss: 0.004955 (0.0050) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.519s, 79.01/s (1.519s, 79.01/s) LR: 1.075e-04 +2023-08-03 01:58:49,958 - train: [ INFO] - Train: 219 [ 50/65 (100%)] Loss: 0.005092 (0.0050) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 356.98/s (0.362s, 331.43/s) LR: 1.075e-04 +2023-08-03 01:58:54,707 - train: [ INFO] - Train: 219 [ 64/65 (100%)] Loss: 0.005170 (0.0050) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.93/s (0.357s, 336.01/s) LR: 1.075e-04 +2023-08-03 01:58:55,648 - train: [ INFO] - Test: [ 0/7] Time: 0.797 (0.797) Loss: 0.8766 (0.8766) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:58:57,263 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.302) Loss: 0.9490 (1.0401) Acc@1: 80.0000 (77.4713)Acc@5: 96.6667 (90.5747) + +2023-08-03 01:58:59,003 - train: [ INFO] - Train: 220 [ 0/65 (100%)] Loss: 0.005427 (0.0054) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.476s, 81.28/s (1.476s, 81.28/s) LR: 1.053e-04 +2023-08-03 01:59:16,008 - train: [ INFO] - Train: 220 [ 50/65 (100%)] Loss: 0.005161 (0.0050) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.347s, 346.19/s (0.362s, 331.18/s) LR: 1.053e-04 +2023-08-03 01:59:20,741 - train: [ INFO] - Train: 220 [ 64/65 (100%)] Loss: 0.005138 (0.0050) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.25/s (0.357s, 336.04/s) LR: 1.053e-04 +2023-08-03 01:59:21,648 - train: [ INFO] - Test: [ 0/7] Time: 0.769 (0.769) Loss: 1.0834 (1.0834) Acc@1: 74.1667 (74.1667)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:59:23,249 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.296) Loss: 1.1109 (0.9973) Acc@1: 73.3333 (78.6207)Acc@5: 93.3333 (90.4598) + +2023-08-03 01:59:25,015 - train: [ INFO] - Train: 221 [ 0/65 (100%)] Loss: 0.004876 (0.0049) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.506s, 79.70/s (1.506s, 79.70/s) LR: 1.030e-04 +2023-08-03 01:59:41,990 - train: [ INFO] - Train: 221 [ 50/65 (100%)] Loss: 0.004923 (0.0049) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.28/s (0.362s, 331.20/s) LR: 1.030e-04 +2023-08-03 01:59:46,732 - train: [ INFO] - Train: 221 [ 64/65 (100%)] Loss: 0.004839 (0.0049) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.64/s (0.357s, 335.91/s) LR: 1.030e-04 +2023-08-03 01:59:47,736 - train: [ INFO] - Test: [ 0/7] Time: 0.834 (0.834) Loss: 0.8571 (0.8571) Acc@1: 80.8333 (80.8333)Acc@5: 92.5000 (92.5000) + +2023-08-03 01:59:49,347 - train: [ INFO] - Test: [ 7/7] Time: 0.036 (0.306) Loss: 1.1568 (1.0421) Acc@1: 76.6667 (77.8161)Acc@5: 83.3333 (89.5402) + +2023-08-03 01:59:51,084 - train: [ INFO] - Train: 222 [ 0/65 (100%)] Loss: 0.004815 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.491s, 80.46/s (1.491s, 80.46/s) LR: 1.008e-04 +2023-08-03 02:00:08,092 - train: [ INFO] - Train: 222 [ 50/65 (100%)] Loss: 0.005074 (0.0049) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.00/s (0.363s, 330.85/s) LR: 1.008e-04 +2023-08-03 02:00:12,810 - train: [ INFO] - Train: 222 [ 64/65 (100%)] Loss: 0.005155 (0.0049) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.76/s (0.357s, 335.99/s) LR: 1.008e-04 +2023-08-03 02:00:13,749 - train: [ INFO] - Test: [ 0/7] Time: 0.791 (0.791) Loss: 0.9463 (0.9463) Acc@1: 79.1667 (79.1667)Acc@5: 93.3333 (93.3333) + +2023-08-03 02:00:15,335 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.297) Loss: 0.8373 (0.9948) Acc@1: 83.3333 (78.0460)Acc@5: 90.0000 (90.5747) + +2023-08-03 02:00:17,108 - train: [ INFO] - Train: 223 [ 0/65 (100%)] Loss: 0.005116 (0.0051) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.512s, 79.35/s (1.512s, 79.35/s) LR: 9.865e-05 +2023-08-03 02:00:34,106 - train: [ INFO] - Train: 223 [ 50/65 (100%)] Loss: 0.004674 (0.0049) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.52/s (0.363s, 330.66/s) LR: 9.865e-05 +2023-08-03 02:00:38,889 - train: [ INFO] - Train: 223 [ 64/65 (100%)] Loss: 0.004937 (0.0049) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.65/s (0.358s, 334.90/s) LR: 9.865e-05 +2023-08-03 02:00:39,802 - train: [ INFO] - Test: [ 0/7] Time: 0.787 (0.787) Loss: 1.0646 (1.0646) Acc@1: 77.5000 (77.5000)Acc@5: 87.5000 (87.5000) + +2023-08-03 02:00:41,330 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.289) Loss: 0.8900 (1.0065) Acc@1: 80.0000 (78.1609)Acc@5: 96.6667 (90.2299) + +2023-08-03 02:00:43,058 - train: [ INFO] - Train: 224 [ 0/65 (100%)] Loss: 0.004811 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.472s, 81.52/s (1.472s, 81.52/s) LR: 9.649e-05 +2023-08-03 02:00:59,960 - train: [ INFO] - Train: 224 [ 50/65 (100%)] Loss: 0.005117 (0.0049) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.58/s (0.360s, 333.10/s) LR: 9.649e-05 +2023-08-03 02:01:04,733 - train: [ INFO] - Train: 224 [ 64/65 (100%)] Loss: 0.004923 (0.0049) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.79/s (0.356s, 337.00/s) LR: 9.649e-05 +2023-08-03 02:01:05,710 - train: [ INFO] - Test: [ 0/7] Time: 0.816 (0.816) Loss: 0.9752 (0.9752) Acc@1: 81.6667 (81.6667)Acc@5: 90.8333 (90.8333) + +2023-08-03 02:01:07,298 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.301) Loss: 1.1492 (1.0500) Acc@1: 83.3333 (77.8161)Acc@5: 93.3333 (89.8851) + +2023-08-03 02:01:09,047 - train: [ INFO] - Train: 225 [ 0/65 (100%)] Loss: 0.005155 (0.0052) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.469s, 81.69/s (1.469s, 81.69/s) LR: 9.434e-05 +2023-08-03 02:01:26,050 - train: [ INFO] - Train: 225 [ 50/65 (100%)] Loss: 0.004855 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.03/s (0.362s, 331.34/s) LR: 9.434e-05 +2023-08-03 02:01:30,813 - train: [ INFO] - Train: 225 [ 64/65 (100%)] Loss: 0.005117 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.52/s (0.357s, 335.73/s) LR: 9.434e-05 +2023-08-03 02:01:31,750 - train: [ INFO] - Test: [ 0/7] Time: 0.800 (0.800) Loss: 1.1026 (1.1026) Acc@1: 80.0000 (80.0000)Acc@5: 85.8333 (85.8333) + +2023-08-03 02:01:33,237 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.286) Loss: 0.8127 (0.9898) Acc@1: 86.6667 (78.7356)Acc@5: 90.0000 (90.3448) + +2023-08-03 02:01:34,984 - train: [ INFO] - Train: 226 [ 0/65 (100%)] Loss: 0.004774 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.451s, 82.68/s (1.451s, 82.68/s) LR: 9.222e-05 +2023-08-03 02:01:51,990 - train: [ INFO] - Train: 226 [ 50/65 (100%)] Loss: 0.004610 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.02/s (0.362s, 331.61/s) LR: 9.222e-05 +2023-08-03 02:01:56,772 - train: [ INFO] - Train: 226 [ 64/65 (100%)] Loss: 0.004731 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.12/s (0.357s, 335.68/s) LR: 9.222e-05 +2023-08-03 02:01:57,731 - train: [ INFO] - Test: [ 0/7] Time: 0.796 (0.796) Loss: 0.9735 (0.9735) Acc@1: 78.3333 (78.3333)Acc@5: 90.8333 (90.8333) + +2023-08-03 02:01:59,354 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.302) Loss: 1.2994 (1.0557) Acc@1: 73.3333 (77.4713)Acc@5: 76.6667 (89.6552) + +2023-08-03 02:02:01,161 - train: [ INFO] - Train: 227 [ 0/65 (100%)] Loss: 0.005020 (0.0050) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.517s, 79.10/s (1.517s, 79.10/s) LR: 9.012e-05 +2023-08-03 02:02:18,048 - train: [ INFO] - Train: 227 [ 50/65 (100%)] Loss: 0.004605 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.41/s (0.361s, 332.57/s) LR: 9.012e-05 +2023-08-03 02:02:22,831 - train: [ INFO] - Train: 227 [ 64/65 (100%)] Loss: 0.004698 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.50/s (0.357s, 336.44/s) LR: 9.012e-05 +2023-08-03 02:02:23,835 - train: [ INFO] - Test: [ 0/7] Time: 0.849 (0.849) Loss: 0.7413 (0.7413) Acc@1: 83.3333 (83.3333)Acc@5: 96.6667 (96.6667) + +2023-08-03 02:02:25,361 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.297) Loss: 1.5865 (1.0211) Acc@1: 66.6667 (77.9310)Acc@5: 80.0000 (90.0000) + +2023-08-03 02:02:27,223 - train: [ INFO] - Train: 228 [ 0/65 (100%)] Loss: 0.005049 (0.0050) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.582s, 75.83/s (1.582s, 75.83/s) LR: 8.805e-05 +2023-08-03 02:02:44,274 - train: [ INFO] - Train: 228 [ 50/65 (100%)] Loss: 0.004558 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.27/s (0.365s, 328.48/s) LR: 8.805e-05 +2023-08-03 02:02:48,996 - train: [ INFO] - Train: 228 [ 64/65 (100%)] Loss: 0.004764 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.00/s (0.359s, 334.01/s) LR: 8.805e-05 +2023-08-03 02:02:49,943 - train: [ INFO] - Test: [ 0/7] Time: 0.802 (0.802) Loss: 1.2278 (1.2278) Acc@1: 74.1667 (74.1667)Acc@5: 87.5000 (87.5000) + +2023-08-03 02:02:51,454 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.289) Loss: 1.4753 (1.0091) Acc@1: 70.0000 (78.7356)Acc@5: 83.3333 (90.2299) + +2023-08-03 02:02:53,283 - train: [ INFO] - Train: 229 [ 0/65 (100%)] Loss: 0.004663 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.551s, 77.38/s (1.551s, 77.38/s) LR: 8.600e-05 +2023-08-03 02:03:10,297 - train: [ INFO] - Train: 229 [ 50/65 (100%)] Loss: 0.004813 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.57/s (0.364s, 329.69/s) LR: 8.600e-05 +2023-08-03 02:03:15,080 - train: [ INFO] - Train: 229 [ 64/65 (100%)] Loss: 0.004696 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.61/s (0.359s, 334.11/s) LR: 8.600e-05 +2023-08-03 02:03:16,033 - train: [ INFO] - Test: [ 0/7] Time: 0.818 (0.818) Loss: 1.0360 (1.0360) Acc@1: 77.5000 (77.5000)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:03:17,608 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.299) Loss: 1.1182 (1.0099) Acc@1: 73.3333 (78.1609)Acc@5: 96.6667 (90.9195) + +2023-08-03 02:03:19,326 - train: [ INFO] - Train: 230 [ 0/65 (100%)] Loss: 0.004740 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.466s, 81.87/s (1.466s, 81.87/s) LR: 8.397e-05 +2023-08-03 02:03:36,234 - train: [ INFO] - Train: 230 [ 50/65 (100%)] Loss: 0.004727 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.39/s (0.360s, 333.12/s) LR: 8.397e-05 +2023-08-03 02:03:40,973 - train: [ INFO] - Train: 230 [ 64/65 (100%)] Loss: 0.004713 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.26/s (0.356s, 337.51/s) LR: 8.397e-05 +2023-08-03 02:03:41,901 - train: [ INFO] - Test: [ 0/7] Time: 0.816 (0.816) Loss: 1.1376 (1.1376) Acc@1: 77.5000 (77.5000)Acc@5: 88.3333 (88.3333) + +2023-08-03 02:03:43,510 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.303) Loss: 1.4158 (1.0120) Acc@1: 70.0000 (78.8506)Acc@5: 90.0000 (90.6897) + +2023-08-03 02:03:45,268 - train: [ INFO] - Train: 231 [ 0/65 (100%)] Loss: 0.004784 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.486s, 80.75/s (1.486s, 80.75/s) LR: 8.196e-05 +2023-08-03 02:04:02,305 - train: [ INFO] - Train: 231 [ 50/65 (100%)] Loss: 0.004701 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.27/s (0.363s, 330.43/s) LR: 8.196e-05 +2023-08-03 02:04:07,018 - train: [ INFO] - Train: 231 [ 64/65 (100%)] Loss: 0.004677 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.32/s (0.357s, 335.72/s) LR: 8.196e-05 +2023-08-03 02:04:07,953 - train: [ INFO] - Test: [ 0/7] Time: 0.787 (0.787) Loss: 1.2667 (1.2667) Acc@1: 72.5000 (72.5000)Acc@5: 85.8333 (85.8333) + +2023-08-03 02:04:09,470 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.288) Loss: 0.9287 (1.0032) Acc@1: 73.3333 (78.3908)Acc@5: 93.3333 (89.8851) + +2023-08-03 02:04:11,251 - train: [ INFO] - Train: 232 [ 0/65 (100%)] Loss: 0.004824 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.531s, 78.41/s (1.531s, 78.41/s) LR: 7.998e-05 +2023-08-03 02:04:28,185 - train: [ INFO] - Train: 232 [ 50/65 (100%)] Loss: 0.004663 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.75/s (0.362s, 331.46/s) LR: 7.998e-05 +2023-08-03 02:04:32,959 - train: [ INFO] - Train: 232 [ 64/65 (100%)] Loss: 0.004734 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.25/s (0.357s, 335.67/s) LR: 7.998e-05 +2023-08-03 02:04:33,924 - train: [ INFO] - Test: [ 0/7] Time: 0.833 (0.833) Loss: 0.8417 (0.8417) Acc@1: 83.3333 (83.3333)Acc@5: 89.1667 (89.1667) + +2023-08-03 02:04:35,509 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.302) Loss: 1.2362 (1.0374) Acc@1: 73.3333 (77.8161)Acc@5: 93.3333 (90.6897) + +2023-08-03 02:04:37,248 - train: [ INFO] - Train: 233 [ 0/65 (100%)] Loss: 0.004511 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.478s, 81.20/s (1.478s, 81.20/s) LR: 7.802e-05 +2023-08-03 02:04:54,162 - train: [ INFO] - Train: 233 [ 50/65 (100%)] Loss: 0.004857 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.38/s (0.361s, 332.78/s) LR: 7.802e-05 +2023-08-03 02:04:58,892 - train: [ INFO] - Train: 233 [ 64/65 (100%)] Loss: 0.004783 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.99/s (0.356s, 337.36/s) LR: 7.802e-05 +2023-08-03 02:04:59,837 - train: [ INFO] - Test: [ 0/7] Time: 0.805 (0.805) Loss: 1.1873 (1.1873) Acc@1: 75.0000 (75.0000)Acc@5: 86.6667 (86.6667) + +2023-08-03 02:05:01,425 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.299) Loss: 0.6742 (1.0014) Acc@1: 80.0000 (78.9655)Acc@5: 96.6667 (90.5747) + +2023-08-03 02:05:01,681 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-233.pth.tar', 78.96552276611328) + +2023-08-03 02:05:03,195 - train: [ INFO] - Train: 234 [ 0/65 (100%)] Loss: 0.004593 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.19/s (1.496s, 80.19/s) LR: 7.609e-05 +2023-08-03 02:05:20,225 - train: [ INFO] - Train: 234 [ 50/65 (100%)] Loss: 0.004714 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.74/s (0.363s, 330.37/s) LR: 7.609e-05 +2023-08-03 02:05:24,964 - train: [ INFO] - Train: 234 [ 64/65 (100%)] Loss: 0.004662 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.76/s (0.358s, 335.29/s) LR: 7.609e-05 +2023-08-03 02:05:26,058 - train: [ INFO] - Test: [ 0/7] Time: 0.933 (0.933) Loss: 1.2125 (1.2125) Acc@1: 70.8333 (70.8333)Acc@5: 91.6667 (91.6667) + +2023-08-03 02:05:27,577 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.307) Loss: 0.9987 (1.0221) Acc@1: 76.6667 (77.9310)Acc@5: 93.3333 (90.2299) + +2023-08-03 02:05:29,274 - train: [ INFO] - Train: 235 [ 0/65 (100%)] Loss: 0.004542 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.438s, 83.46/s (1.438s, 83.46/s) LR: 7.417e-05 +2023-08-03 02:05:46,281 - train: [ INFO] - Train: 235 [ 50/65 (100%)] Loss: 0.004622 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.82/s (0.362s, 331.82/s) LR: 7.417e-05 +2023-08-03 02:05:51,037 - train: [ INFO] - Train: 235 [ 64/65 (100%)] Loss: 0.004672 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.19/s (0.357s, 336.22/s) LR: 7.417e-05 +2023-08-03 02:05:52,020 - train: [ INFO] - Test: [ 0/7] Time: 0.825 (0.825) Loss: 1.1789 (1.1789) Acc@1: 75.0000 (75.0000)Acc@5: 86.6667 (86.6667) + +2023-08-03 02:05:53,655 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.307) Loss: 0.8126 (1.0384) Acc@1: 83.3333 (78.0460)Acc@5: 90.0000 (89.3104) + +2023-08-03 02:05:55,405 - train: [ INFO] - Train: 236 [ 0/65 (100%)] Loss: 0.004406 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.452s, 82.62/s (1.452s, 82.62/s) LR: 7.229e-05 +2023-08-03 02:06:12,360 - train: [ INFO] - Train: 236 [ 50/65 (100%)] Loss: 0.004665 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.57/s (0.361s, 332.50/s) LR: 7.229e-05 +2023-08-03 02:06:17,061 - train: [ INFO] - Train: 236 [ 64/65 (100%)] Loss: 0.004642 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.35/s (0.355s, 337.57/s) LR: 7.229e-05 +2023-08-03 02:06:18,021 - train: [ INFO] - Test: [ 0/7] Time: 0.803 (0.803) Loss: 0.5832 (0.5832) Acc@1: 85.8333 (85.8333)Acc@5: 96.6667 (96.6667) + +2023-08-03 02:06:19,663 - train: [ INFO] - Test: [ 7/7] Time: 0.036 (0.306) Loss: 1.0463 (1.0222) Acc@1: 80.0000 (78.6207)Acc@5: 86.6667 (89.8851) + +2023-08-03 02:06:21,463 - train: [ INFO] - Train: 237 [ 0/65 (100%)] Loss: 0.004604 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.524s, 78.74/s (1.524s, 78.74/s) LR: 7.043e-05 +2023-08-03 02:06:38,449 - train: [ INFO] - Train: 237 [ 50/65 (100%)] Loss: 0.004820 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.60/s (0.363s, 330.66/s) LR: 7.043e-05 +2023-08-03 02:06:43,203 - train: [ INFO] - Train: 237 [ 64/65 (100%)] Loss: 0.004492 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.39/s (0.358s, 335.33/s) LR: 7.043e-05 +2023-08-03 02:06:44,179 - train: [ INFO] - Test: [ 0/7] Time: 0.819 (0.819) Loss: 0.8309 (0.8309) Acc@1: 80.0000 (80.0000)Acc@5: 93.3333 (93.3333) + +2023-08-03 02:06:45,704 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.293) Loss: 0.6914 (1.0144) Acc@1: 86.6667 (78.3908)Acc@5: 96.6667 (89.8851) + +2023-08-03 02:06:47,520 - train: [ INFO] - Train: 238 [ 0/65 (100%)] Loss: 0.004386 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.508s, 79.56/s (1.508s, 79.56/s) LR: 6.859e-05 +2023-08-03 02:07:04,465 - train: [ INFO] - Train: 238 [ 50/65 (100%)] Loss: 0.004523 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.44/s (0.362s, 331.67/s) LR: 6.859e-05 +2023-08-03 02:07:09,234 - train: [ INFO] - Train: 238 [ 64/65 (100%)] Loss: 0.004573 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.77/s (0.357s, 335.91/s) LR: 6.859e-05 +2023-08-03 02:07:10,228 - train: [ INFO] - Test: [ 0/7] Time: 0.829 (0.829) Loss: 1.1427 (1.1427) Acc@1: 75.0000 (75.0000)Acc@5: 88.3333 (88.3333) + +2023-08-03 02:07:11,814 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.302) Loss: 0.8031 (1.0108) Acc@1: 83.3333 (78.8506)Acc@5: 90.0000 (90.2299) + +2023-08-03 02:07:13,573 - train: [ INFO] - Train: 239 [ 0/65 (100%)] Loss: 0.005212 (0.0052) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.493s, 80.38/s (1.493s, 80.38/s) LR: 6.678e-05 +2023-08-03 02:07:30,544 - train: [ INFO] - Train: 239 [ 50/65 (100%)] Loss: 0.004681 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.12/s (0.362s, 331.49/s) LR: 6.678e-05 +2023-08-03 02:07:35,291 - train: [ INFO] - Train: 239 [ 64/65 (100%)] Loss: 0.004514 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.11/s (0.357s, 336.11/s) LR: 6.678e-05 +2023-08-03 02:07:36,205 - train: [ INFO] - Test: [ 0/7] Time: 0.772 (0.772) Loss: 1.0617 (1.0617) Acc@1: 75.8333 (75.8333)Acc@5: 88.3333 (88.3333) + +2023-08-03 02:07:37,724 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.286) Loss: 0.7877 (1.0520) Acc@1: 86.6667 (77.4713)Acc@5: 93.3333 (90.1149) + +2023-08-03 02:07:39,477 - train: [ INFO] - Train: 240 [ 0/65 (100%)] Loss: 0.004695 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.467s, 81.79/s (1.467s, 81.79/s) LR: 6.500e-05 +2023-08-03 02:07:56,494 - train: [ INFO] - Train: 240 [ 50/65 (100%)] Loss: 0.004443 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.68/s (0.362s, 331.12/s) LR: 6.500e-05 +2023-08-03 02:08:01,254 - train: [ INFO] - Train: 240 [ 64/65 (100%)] Loss: 0.004378 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.45/s (0.358s, 335.60/s) LR: 6.500e-05 +2023-08-03 02:08:02,242 - train: [ INFO] - Test: [ 0/7] Time: 0.822 (0.822) Loss: 1.4867 (1.4867) Acc@1: 69.1667 (69.1667)Acc@5: 85.0000 (85.0000) + +2023-08-03 02:08:03,779 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.295) Loss: 0.7650 (1.0371) Acc@1: 86.6667 (77.0115)Acc@5: 93.3333 (90.4598) + +2023-08-03 02:08:05,491 - train: [ INFO] - Train: 241 [ 0/65 (100%)] Loss: 0.004586 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.445s, 83.05/s (1.445s, 83.05/s) LR: 6.324e-05 +2023-08-03 02:08:22,402 - train: [ INFO] - Train: 241 [ 50/65 (100%)] Loss: 0.004408 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.05/s (0.360s, 333.44/s) LR: 6.324e-05 +2023-08-03 02:08:27,196 - train: [ INFO] - Train: 241 [ 64/65 (100%)] Loss: 0.004582 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.07/s (0.356s, 336.97/s) LR: 6.324e-05 +2023-08-03 02:08:28,143 - train: [ INFO] - Test: [ 0/7] Time: 0.804 (0.804) Loss: 0.9936 (0.9936) Acc@1: 80.0000 (80.0000)Acc@5: 89.1667 (89.1667) + +2023-08-03 02:08:29,706 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.296) Loss: 1.0296 (1.0791) Acc@1: 80.0000 (76.5517)Acc@5: 90.0000 (90.1149) + +2023-08-03 02:08:31,452 - train: [ INFO] - Train: 242 [ 0/65 (100%)] Loss: 0.004751 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.493s, 80.40/s (1.493s, 80.40/s) LR: 6.150e-05 +2023-08-03 02:08:48,435 - train: [ INFO] - Train: 242 [ 50/65 (100%)] Loss: 0.004431 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.02/s (0.362s, 331.27/s) LR: 6.150e-05 +2023-08-03 02:08:53,161 - train: [ INFO] - Train: 242 [ 64/65 (100%)] Loss: 0.004499 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.77/s (0.357s, 336.21/s) LR: 6.150e-05 +2023-08-03 02:08:54,093 - train: [ INFO] - Test: [ 0/7] Time: 0.793 (0.793) Loss: 1.0237 (1.0237) Acc@1: 75.8333 (75.8333)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:08:55,639 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.292) Loss: 0.6240 (1.0303) Acc@1: 86.6667 (78.2759)Acc@5: 90.0000 (90.9195) + +2023-08-03 02:08:57,380 - train: [ INFO] - Train: 243 [ 0/65 (100%)] Loss: 0.004530 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.478s, 81.20/s (1.478s, 81.20/s) LR: 5.980e-05 +2023-08-03 02:09:14,344 - train: [ INFO] - Train: 243 [ 50/65 (100%)] Loss: 0.004316 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.39/s (0.362s, 331.88/s) LR: 5.980e-05 +2023-08-03 02:09:19,132 - train: [ INFO] - Train: 243 [ 64/65 (100%)] Loss: 0.004386 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.346s, 346.43/s (0.357s, 335.81/s) LR: 5.980e-05 +2023-08-03 02:09:20,136 - train: [ INFO] - Test: [ 0/7] Time: 0.826 (0.826) Loss: 1.2952 (1.2952) Acc@1: 74.1667 (74.1667)Acc@5: 85.0000 (85.0000) + +2023-08-03 02:09:21,709 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.300) Loss: 0.9072 (1.0356) Acc@1: 80.0000 (78.5058)Acc@5: 96.6667 (89.5402) + +2023-08-03 02:09:23,441 - train: [ INFO] - Train: 244 [ 0/65 (100%)] Loss: 0.004822 (0.0048) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.484s, 80.87/s (1.484s, 80.87/s) LR: 5.811e-05 +2023-08-03 02:09:40,388 - train: [ INFO] - Train: 244 [ 50/65 (100%)] Loss: 0.004560 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 356.84/s (0.361s, 332.07/s) LR: 5.811e-05 +2023-08-03 02:09:45,157 - train: [ INFO] - Train: 244 [ 64/65 (100%)] Loss: 0.004526 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.76/s (0.357s, 336.25/s) LR: 5.811e-05 +2023-08-03 02:09:46,122 - train: [ INFO] - Test: [ 0/7] Time: 0.818 (0.818) Loss: 1.2317 (1.2317) Acc@1: 71.6667 (71.6667)Acc@5: 89.1667 (89.1667) + +2023-08-03 02:09:47,611 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.288) Loss: 1.4342 (1.0007) Acc@1: 73.3333 (78.7356)Acc@5: 80.0000 (91.0345) + +2023-08-03 02:09:49,405 - train: [ INFO] - Train: 245 [ 0/65 (100%)] Loss: 0.004486 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.492s, 80.41/s (1.492s, 80.41/s) LR: 5.646e-05 +2023-08-03 02:10:06,450 - train: [ INFO] - Train: 245 [ 50/65 (100%)] Loss: 0.004368 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.45/s (0.363s, 330.15/s) LR: 5.646e-05 +2023-08-03 02:10:11,166 - train: [ INFO] - Train: 245 [ 64/65 (100%)] Loss: 0.004396 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.40/s (0.358s, 335.46/s) LR: 5.646e-05 +2023-08-03 02:10:12,118 - train: [ INFO] - Test: [ 0/7] Time: 0.791 (0.791) Loss: 0.9163 (0.9163) Acc@1: 80.8333 (80.8333)Acc@5: 92.5000 (92.5000) + +2023-08-03 02:10:13,689 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.295) Loss: 1.0401 (1.0357) Acc@1: 76.6667 (77.4713)Acc@5: 90.0000 (90.3448) + +2023-08-03 02:10:15,386 - train: [ INFO] - Train: 246 [ 0/65 (100%)] Loss: 0.004569 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.411s, 85.07/s (1.411s, 85.07/s) LR: 5.483e-05 +2023-08-03 02:10:32,333 - train: [ INFO] - Train: 246 [ 50/65 (100%)] Loss: 0.004445 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.346s, 346.80/s (0.360s, 333.38/s) LR: 5.483e-05 +2023-08-03 02:10:37,099 - train: [ INFO] - Train: 246 [ 64/65 (100%)] Loss: 0.004416 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.82/s (0.356s, 337.35/s) LR: 5.483e-05 +2023-08-03 02:10:38,064 - train: [ INFO] - Test: [ 0/7] Time: 0.816 (0.816) Loss: 1.5507 (1.5507) Acc@1: 66.6667 (66.6667)Acc@5: 85.0000 (85.0000) + +2023-08-03 02:10:39,659 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.301) Loss: 1.0146 (1.0118) Acc@1: 80.0000 (78.3908)Acc@5: 90.0000 (90.6897) + +2023-08-03 02:10:41,430 - train: [ INFO] - Train: 247 [ 0/65 (100%)] Loss: 0.004524 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.483s, 80.92/s (1.483s, 80.92/s) LR: 5.323e-05 +2023-08-03 02:10:58,394 - train: [ INFO] - Train: 247 [ 50/65 (100%)] Loss: 0.004578 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.07/s (0.362s, 331.79/s) LR: 5.323e-05 +2023-08-03 02:11:03,098 - train: [ INFO] - Train: 247 [ 64/65 (100%)] Loss: 0.005072 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.95/s (0.356s, 336.96/s) LR: 5.323e-05 +2023-08-03 02:11:04,054 - train: [ INFO] - Test: [ 0/7] Time: 0.795 (0.795) Loss: 0.8103 (0.8103) Acc@1: 83.3333 (83.3333)Acc@5: 94.1667 (94.1667) + +2023-08-03 02:11:05,579 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.290) Loss: 0.4395 (1.0098) Acc@1: 86.6667 (77.9310)Acc@5: 100.0000 (90.6897) + +2023-08-03 02:11:07,464 - train: [ INFO] - Train: 248 [ 0/65 (100%)] Loss: 0.004371 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.598s, 75.07/s (1.598s, 75.07/s) LR: 5.165e-05 +2023-08-03 02:11:24,542 - train: [ INFO] - Train: 248 [ 50/65 (100%)] Loss: 0.004412 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.64/s (0.366s, 327.72/s) LR: 5.165e-05 +2023-08-03 02:11:29,328 - train: [ INFO] - Train: 248 [ 64/65 (100%)] Loss: 0.004552 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.99/s (0.361s, 332.48/s) LR: 5.165e-05 +2023-08-03 02:11:30,318 - train: [ INFO] - Test: [ 0/7] Time: 0.825 (0.825) Loss: 0.8168 (0.8168) Acc@1: 85.0000 (85.0000)Acc@5: 93.3333 (93.3333) + +2023-08-03 02:11:31,893 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.300) Loss: 0.8824 (1.0089) Acc@1: 80.0000 (79.6552)Acc@5: 93.3333 (90.8046) + +2023-08-03 02:11:32,173 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-248.pth.tar', 79.6551768861968) + +2023-08-03 02:11:33,652 - train: [ INFO] - Train: 249 [ 0/65 (100%)] Loss: 0.004390 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.466s, 81.85/s (1.466s, 81.85/s) LR: 5.010e-05 +2023-08-03 02:11:50,617 - train: [ INFO] - Train: 249 [ 50/65 (100%)] Loss: 0.004347 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 347.36/s (0.361s, 332.08/s) LR: 5.010e-05 +2023-08-03 02:11:55,392 - train: [ INFO] - Train: 249 [ 64/65 (100%)] Loss: 0.004590 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.17/s (0.357s, 336.16/s) LR: 5.010e-05 +2023-08-03 02:11:56,375 - train: [ INFO] - Test: [ 0/7] Time: 0.822 (0.822) Loss: 1.3731 (1.3731) Acc@1: 71.6667 (71.6667)Acc@5: 85.0000 (85.0000) + +2023-08-03 02:11:57,996 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.305) Loss: 0.2965 (1.0272) Acc@1: 96.6667 (77.5862)Acc@5: 96.6667 (89.7701) + +2023-08-03 02:11:59,794 - train: [ INFO] - Train: 250 [ 0/65 (100%)] Loss: 0.004253 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.523s, 78.78/s (1.523s, 78.78/s) LR: 4.858e-05 +2023-08-03 02:12:16,837 - train: [ INFO] - Train: 250 [ 50/65 (100%)] Loss: 0.004316 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.74/s (0.364s, 329.66/s) LR: 4.858e-05 +2023-08-03 02:12:21,549 - train: [ INFO] - Train: 250 [ 64/65 (100%)] Loss: 0.004483 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.68/s (0.358s, 335.12/s) LR: 4.858e-05 +2023-08-03 02:12:22,517 - train: [ INFO] - Test: [ 0/7] Time: 0.811 (0.811) Loss: 1.0984 (1.0984) Acc@1: 75.0000 (75.0000)Acc@5: 90.8333 (90.8333) + +2023-08-03 02:12:24,060 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.294) Loss: 1.3578 (1.0302) Acc@1: 66.6667 (77.8161)Acc@5: 86.6667 (91.0345) + +2023-08-03 02:12:25,831 - train: [ INFO] - Train: 251 [ 0/65 (100%)] Loss: 0.004734 (0.0047) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.496s, 80.22/s (1.496s, 80.22/s) LR: 4.709e-05 +2023-08-03 02:12:42,893 - train: [ INFO] - Train: 251 [ 50/65 (100%)] Loss: 0.004318 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.92/s (0.364s, 329.80/s) LR: 4.709e-05 +2023-08-03 02:12:47,690 - train: [ INFO] - Train: 251 [ 64/65 (100%)] Loss: 0.004354 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.15/s (0.359s, 334.00/s) LR: 4.709e-05 +2023-08-03 02:12:48,664 - train: [ INFO] - Test: [ 0/7] Time: 0.829 (0.829) Loss: 0.9186 (0.9186) Acc@1: 78.3333 (78.3333)Acc@5: 93.3333 (93.3333) + +2023-08-03 02:12:50,236 - train: [ INFO] - Test: [ 7/7] Time: 0.036 (0.300) Loss: 1.2448 (0.9918) Acc@1: 73.3333 (78.1609)Acc@5: 93.3333 (91.0345) + +2023-08-03 02:12:52,099 - train: [ INFO] - Train: 252 [ 0/65 (100%)] Loss: 0.004382 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.530s, 78.43/s (1.530s, 78.43/s) LR: 4.562e-05 +2023-08-03 02:13:08,989 - train: [ INFO] - Train: 252 [ 50/65 (100%)] Loss: 0.004510 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.85/s (0.361s, 332.27/s) LR: 4.562e-05 +2023-08-03 02:13:13,762 - train: [ INFO] - Train: 252 [ 64/65 (100%)] Loss: 0.004409 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 348.23/s (0.357s, 336.34/s) LR: 4.562e-05 +2023-08-03 02:13:14,689 - train: [ INFO] - Test: [ 0/7] Time: 0.794 (0.794) Loss: 1.0875 (1.0875) Acc@1: 77.5000 (77.5000)Acc@5: 88.3333 (88.3333) + +2023-08-03 02:13:16,276 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.298) Loss: 0.4739 (1.0483) Acc@1: 90.0000 (77.5862)Acc@5: 93.3333 (90.1149) + +2023-08-03 02:13:17,991 - train: [ INFO] - Train: 253 [ 0/65 (100%)] Loss: 0.004379 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.458s, 82.28/s (1.458s, 82.28/s) LR: 4.418e-05 +2023-08-03 02:13:35,019 - train: [ INFO] - Train: 253 [ 50/65 (100%)] Loss: 0.004222 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 356.76/s (0.362s, 331.09/s) LR: 4.418e-05 +2023-08-03 02:13:39,758 - train: [ INFO] - Train: 253 [ 64/65 (100%)] Loss: 0.007719 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 359.00/s (0.357s, 335.88/s) LR: 4.418e-05 +2023-08-03 02:13:40,736 - train: [ INFO] - Test: [ 0/7] Time: 0.819 (0.819) Loss: 1.0207 (1.0207) Acc@1: 77.5000 (77.5000)Acc@5: 89.1667 (89.1667) + +2023-08-03 02:13:42,256 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.292) Loss: 1.4797 (1.0726) Acc@1: 60.0000 (76.4368)Acc@5: 83.3333 (90.0000) + +2023-08-03 02:13:43,952 - train: [ INFO] - Train: 254 [ 0/65 (100%)] Loss: 0.004524 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.446s, 82.98/s (1.446s, 82.98/s) LR: 4.277e-05 +2023-08-03 02:14:00,980 - train: [ INFO] - Train: 254 [ 50/65 (100%)] Loss: 0.004786 (0.0046) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.48/s (0.362s, 331.30/s) LR: 4.277e-05 +2023-08-03 02:14:05,762 - train: [ INFO] - Train: 254 [ 64/65 (100%)] Loss: 0.004425 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.346s, 347.24/s (0.358s, 335.42/s) LR: 4.277e-05 +2023-08-03 02:14:06,698 - train: [ INFO] - Test: [ 0/7] Time: 0.793 (0.793) Loss: 1.0211 (1.0211) Acc@1: 75.8333 (75.8333)Acc@5: 91.6667 (91.6667) + +2023-08-03 02:14:08,240 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.292) Loss: 0.7881 (1.0050) Acc@1: 76.6667 (78.7356)Acc@5: 93.3333 (90.3448) + +2023-08-03 02:14:09,980 - train: [ INFO] - Train: 255 [ 0/65 (100%)] Loss: 0.004483 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.468s, 81.76/s (1.468s, 81.76/s) LR: 4.139e-05 +2023-08-03 02:14:26,870 - train: [ INFO] - Train: 255 [ 50/65 (100%)] Loss: 0.004443 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.00/s (0.360s, 333.40/s) LR: 4.139e-05 +2023-08-03 02:14:31,657 - train: [ INFO] - Train: 255 [ 64/65 (100%)] Loss: 0.004209 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.26/s (0.356s, 337.05/s) LR: 4.139e-05 +2023-08-03 02:14:32,588 - train: [ INFO] - Test: [ 0/7] Time: 0.787 (0.787) Loss: 1.0382 (1.0382) Acc@1: 75.0000 (75.0000)Acc@5: 89.1667 (89.1667) + +2023-08-03 02:14:34,162 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.295) Loss: 1.1105 (1.0234) Acc@1: 76.6667 (77.8161)Acc@5: 83.3333 (90.2299) + +2023-08-03 02:14:35,867 - train: [ INFO] - Train: 256 [ 0/65 (100%)] Loss: 0.004400 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.431s, 83.86/s (1.431s, 83.86/s) LR: 4.003e-05 +2023-08-03 02:14:52,857 - train: [ INFO] - Train: 256 [ 50/65 (100%)] Loss: 0.004469 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.68/s (0.361s, 332.25/s) LR: 4.003e-05 +2023-08-03 02:14:57,598 - train: [ INFO] - Train: 256 [ 64/65 (100%)] Loss: 0.004325 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.76/s (0.356s, 336.78/s) LR: 4.003e-05 +2023-08-03 02:14:58,510 - train: [ INFO] - Test: [ 0/7] Time: 0.799 (0.799) Loss: 1.1064 (1.1064) Acc@1: 76.6667 (76.6667)Acc@5: 91.6667 (91.6667) + +2023-08-03 02:15:00,024 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.289) Loss: 1.5901 (1.0361) Acc@1: 63.3333 (78.0460)Acc@5: 76.6667 (90.0000) + +2023-08-03 02:15:01,750 - train: [ INFO] - Train: 257 [ 0/65 (100%)] Loss: 0.004097 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.451s, 82.70/s (1.451s, 82.70/s) LR: 3.871e-05 +2023-08-03 02:15:18,743 - train: [ INFO] - Train: 257 [ 50/65 (100%)] Loss: 0.004135 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.89/s (0.362s, 331.85/s) LR: 3.871e-05 +2023-08-03 02:15:23,510 - train: [ INFO] - Train: 257 [ 64/65 (100%)] Loss: 0.004507 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.04/s (0.357s, 336.09/s) LR: 3.871e-05 +2023-08-03 02:15:24,446 - train: [ INFO] - Test: [ 0/7] Time: 0.781 (0.781) Loss: 1.0318 (1.0318) Acc@1: 75.0000 (75.0000)Acc@5: 91.6667 (91.6667) + +2023-08-03 02:15:25,995 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.291) Loss: 1.5489 (1.0296) Acc@1: 63.3333 (77.2414)Acc@5: 86.6667 (90.6897) + +2023-08-03 02:15:27,733 - train: [ INFO] - Train: 258 [ 0/65 (100%)] Loss: 0.004286 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.485s, 80.80/s (1.485s, 80.80/s) LR: 3.741e-05 +2023-08-03 02:15:44,617 - train: [ INFO] - Train: 258 [ 50/65 (100%)] Loss: 0.004452 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.59/s (0.360s, 333.19/s) LR: 3.741e-05 +2023-08-03 02:15:49,371 - train: [ INFO] - Train: 258 [ 64/65 (100%)] Loss: 0.004190 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.57/s (0.356s, 337.34/s) LR: 3.741e-05 +2023-08-03 02:15:50,300 - train: [ INFO] - Test: [ 0/7] Time: 0.806 (0.806) Loss: 0.8157 (0.8157) Acc@1: 80.0000 (80.0000)Acc@5: 94.1667 (94.1667) + +2023-08-03 02:15:51,901 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.301) Loss: 0.6997 (1.0254) Acc@1: 83.3333 (77.3563)Acc@5: 90.0000 (90.2299) + +2023-08-03 02:15:53,680 - train: [ INFO] - Train: 259 [ 0/65 (100%)] Loss: 0.004428 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.512s, 79.39/s (1.512s, 79.39/s) LR: 3.614e-05 +2023-08-03 02:16:10,683 - train: [ INFO] - Train: 259 [ 50/65 (100%)] Loss: 0.004085 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.29/s (0.363s, 330.58/s) LR: 3.614e-05 +2023-08-03 02:16:15,412 - train: [ INFO] - Train: 259 [ 64/65 (100%)] Loss: 0.004243 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.32/s (0.358s, 335.61/s) LR: 3.614e-05 +2023-08-03 02:16:16,359 - train: [ INFO] - Test: [ 0/7] Time: 0.794 (0.794) Loss: 0.9273 (0.9273) Acc@1: 80.0000 (80.0000)Acc@5: 92.5000 (92.5000) + +2023-08-03 02:16:17,957 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.299) Loss: 0.9108 (1.0347) Acc@1: 73.3333 (77.5862)Acc@5: 96.6667 (90.5747) + +2023-08-03 02:16:19,699 - train: [ INFO] - Train: 260 [ 0/65 (100%)] Loss: 0.004215 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.466s, 81.85/s (1.466s, 81.85/s) LR: 3.490e-05 +2023-08-03 02:16:36,674 - train: [ INFO] - Train: 260 [ 50/65 (100%)] Loss: 0.004222 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.57/s (0.362s, 331.89/s) LR: 3.490e-05 +2023-08-03 02:16:41,432 - train: [ INFO] - Train: 260 [ 64/65 (100%)] Loss: 0.004294 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.74/s (0.357s, 336.24/s) LR: 3.490e-05 +2023-08-03 02:16:42,336 - train: [ INFO] - Test: [ 0/7] Time: 0.793 (0.793) Loss: 1.0563 (1.0563) Acc@1: 75.0000 (75.0000)Acc@5: 89.1667 (89.1667) + +2023-08-03 02:16:43,903 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.295) Loss: 0.4488 (1.0429) Acc@1: 93.3333 (77.7012)Acc@5: 93.3333 (90.4598) + +2023-08-03 02:16:45,662 - train: [ INFO] - Train: 261 [ 0/65 (100%)] Loss: 0.004191 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.487s, 80.68/s (1.487s, 80.68/s) LR: 3.368e-05 +2023-08-03 02:17:02,611 - train: [ INFO] - Train: 261 [ 50/65 (100%)] Loss: 0.004277 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.91/s (0.361s, 331.97/s) LR: 3.368e-05 +2023-08-03 02:17:07,322 - train: [ INFO] - Train: 261 [ 64/65 (100%)] Loss: 0.004263 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.47/s (0.356s, 337.00/s) LR: 3.368e-05 +2023-08-03 02:17:08,252 - train: [ INFO] - Test: [ 0/7] Time: 0.784 (0.784) Loss: 1.1114 (1.1114) Acc@1: 77.5000 (77.5000)Acc@5: 88.3333 (88.3333) + +2023-08-03 02:17:09,854 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 1.0703 (1.0049) Acc@1: 76.6667 (79.0805)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:17:11,603 - train: [ INFO] - Train: 262 [ 0/65 (100%)] Loss: 0.004223 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.460s, 82.19/s (1.460s, 82.19/s) LR: 3.250e-05 +2023-08-03 02:17:28,574 - train: [ INFO] - Train: 262 [ 50/65 (100%)] Loss: 0.004270 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.36/s (0.361s, 332.08/s) LR: 3.250e-05 +2023-08-03 02:17:33,377 - train: [ INFO] - Train: 262 [ 64/65 (100%)] Loss: 0.004298 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.00/s (0.357s, 335.75/s) LR: 3.250e-05 +2023-08-03 02:17:34,336 - train: [ INFO] - Test: [ 0/7] Time: 0.815 (0.815) Loss: 1.1666 (1.1666) Acc@1: 76.6667 (76.6667)Acc@5: 88.3333 (88.3333) + +2023-08-03 02:17:35,934 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.302) Loss: 0.9655 (1.0342) Acc@1: 80.0000 (78.3908)Acc@5: 96.6667 (90.6897) + +2023-08-03 02:17:37,726 - train: [ INFO] - Train: 263 [ 0/65 (100%)] Loss: 0.004305 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.518s, 79.05/s (1.518s, 79.05/s) LR: 3.135e-05 +2023-08-03 02:17:54,688 - train: [ INFO] - Train: 263 [ 50/65 (100%)] Loss: 0.004095 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.37/s (0.362s, 331.19/s) LR: 3.135e-05 +2023-08-03 02:17:59,458 - train: [ INFO] - Train: 263 [ 64/65 (100%)] Loss: 0.004324 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.78/s (0.358s, 335.51/s) LR: 3.135e-05 +2023-08-03 02:18:00,396 - train: [ INFO] - Test: [ 0/7] Time: 0.784 (0.784) Loss: 1.0369 (1.0369) Acc@1: 76.6667 (76.6667)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:18:01,912 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.288) Loss: 1.0333 (1.0300) Acc@1: 83.3333 (78.2759)Acc@5: 86.6667 (90.1149) + +2023-08-03 02:18:03,689 - train: [ INFO] - Train: 264 [ 0/65 (100%)] Loss: 0.004371 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.514s, 79.27/s (1.514s, 79.27/s) LR: 3.022e-05 +2023-08-03 02:18:20,744 - train: [ INFO] - Train: 264 [ 50/65 (100%)] Loss: 0.004289 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.62/s (0.364s, 329.62/s) LR: 3.022e-05 +2023-08-03 02:18:25,496 - train: [ INFO] - Train: 264 [ 64/65 (100%)] Loss: 0.004306 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.30/s (0.359s, 334.51/s) LR: 3.022e-05 +2023-08-03 02:18:26,466 - train: [ INFO] - Test: [ 0/7] Time: 0.801 (0.801) Loss: 0.9461 (0.9461) Acc@1: 79.1667 (79.1667)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:18:28,032 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.296) Loss: 1.3809 (1.0121) Acc@1: 66.6667 (79.0805)Acc@5: 83.3333 (89.7701) + +2023-08-03 02:18:29,774 - train: [ INFO] - Train: 265 [ 0/65 (100%)] Loss: 0.004179 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.472s, 81.52/s (1.472s, 81.52/s) LR: 2.913e-05 +2023-08-03 02:18:46,762 - train: [ INFO] - Train: 265 [ 50/65 (100%)] Loss: 0.004176 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.33/s (0.362s, 331.55/s) LR: 2.913e-05 +2023-08-03 02:18:51,552 - train: [ INFO] - Train: 265 [ 64/65 (100%)] Loss: 0.004246 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.08/s (0.358s, 335.51/s) LR: 2.913e-05 +2023-08-03 02:18:52,477 - train: [ INFO] - Test: [ 0/7] Time: 0.801 (0.801) Loss: 0.9994 (0.9994) Acc@1: 81.6667 (81.6667)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:18:54,078 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.300) Loss: 1.3326 (1.0405) Acc@1: 73.3333 (77.9310)Acc@5: 83.3333 (90.0000) + +2023-08-03 02:18:55,827 - train: [ INFO] - Train: 266 [ 0/65 (100%)] Loss: 0.004225 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.489s, 80.61/s (1.489s, 80.61/s) LR: 2.806e-05 +2023-08-03 02:19:12,757 - train: [ INFO] - Train: 266 [ 50/65 (100%)] Loss: 0.004455 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.98/s (0.361s, 332.30/s) LR: 2.806e-05 +2023-08-03 02:19:17,461 - train: [ INFO] - Train: 266 [ 64/65 (100%)] Loss: 0.004364 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.96/s (0.356s, 337.36/s) LR: 2.806e-05 +2023-08-03 02:19:18,411 - train: [ INFO] - Test: [ 0/7] Time: 0.807 (0.807) Loss: 1.1266 (1.1266) Acc@1: 76.6667 (76.6667)Acc@5: 87.5000 (87.5000) + +2023-08-03 02:19:19,984 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.297) Loss: 0.5549 (1.0430) Acc@1: 90.0000 (77.0115)Acc@5: 96.6667 (90.5747) + +2023-08-03 02:19:21,736 - train: [ INFO] - Train: 267 [ 0/65 (100%)] Loss: 0.004293 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.457s, 82.38/s (1.457s, 82.38/s) LR: 2.702e-05 +2023-08-03 02:19:38,776 - train: [ INFO] - Train: 267 [ 50/65 (100%)] Loss: 0.004166 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.87/s (0.363s, 330.90/s) LR: 2.702e-05 +2023-08-03 02:19:43,514 - train: [ INFO] - Train: 267 [ 64/65 (100%)] Loss: 0.004060 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.71/s (0.357s, 335.75/s) LR: 2.702e-05 +2023-08-03 02:19:44,464 - train: [ INFO] - Test: [ 0/7] Time: 0.799 (0.799) Loss: 1.0468 (1.0468) Acc@1: 75.8333 (75.8333)Acc@5: 89.1667 (89.1667) + +2023-08-03 02:19:45,992 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.291) Loss: 1.1382 (1.0217) Acc@1: 73.3333 (78.9655)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:19:47,727 - train: [ INFO] - Train: 268 [ 0/65 (100%)] Loss: 0.004181 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.456s, 82.41/s (1.456s, 82.41/s) LR: 2.602e-05 +2023-08-03 02:20:04,697 - train: [ INFO] - Train: 268 [ 50/65 (100%)] Loss: 0.004147 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.35/s (0.361s, 332.15/s) LR: 2.602e-05 +2023-08-03 02:20:09,487 - train: [ INFO] - Train: 268 [ 64/65 (100%)] Loss: 0.004094 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.28/s (0.357s, 336.00/s) LR: 2.602e-05 +2023-08-03 02:20:10,436 - train: [ INFO] - Test: [ 0/7] Time: 0.815 (0.815) Loss: 1.1630 (1.1630) Acc@1: 73.3333 (73.3333)Acc@5: 87.5000 (87.5000) + +2023-08-03 02:20:12,035 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.302) Loss: 0.4376 (1.0395) Acc@1: 93.3333 (78.1609)Acc@5: 93.3333 (90.6897) + +2023-08-03 02:20:13,807 - train: [ INFO] - Train: 269 [ 0/65 (100%)] Loss: 0.004107 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.482s, 80.95/s (1.482s, 80.95/s) LR: 2.504e-05 +2023-08-03 02:20:30,706 - train: [ INFO] - Train: 269 [ 50/65 (100%)] Loss: 0.004399 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.67/s (0.360s, 332.96/s) LR: 2.504e-05 +2023-08-03 02:20:35,467 - train: [ INFO] - Train: 269 [ 64/65 (100%)] Loss: 0.004445 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.48/s (0.356s, 337.07/s) LR: 2.504e-05 +2023-08-03 02:20:36,429 - train: [ INFO] - Test: [ 0/7] Time: 0.812 (0.812) Loss: 0.7434 (0.7434) Acc@1: 86.6667 (86.6667)Acc@5: 93.3333 (93.3333) + +2023-08-03 02:20:37,998 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.298) Loss: 1.2044 (1.0020) Acc@1: 76.6667 (79.1954)Acc@5: 83.3333 (90.1149) + +2023-08-03 02:20:39,753 - train: [ INFO] - Train: 270 [ 0/65 (100%)] Loss: 0.004143 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.501s, 79.93/s (1.501s, 79.93/s) LR: 2.409e-05 +2023-08-03 02:20:56,838 - train: [ INFO] - Train: 270 [ 50/65 (100%)] Loss: 0.004276 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.12/s (0.364s, 329.30/s) LR: 2.409e-05 +2023-08-03 02:21:01,561 - train: [ INFO] - Train: 270 [ 64/65 (100%)] Loss: 0.004270 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.58/s (0.359s, 334.66/s) LR: 2.409e-05 +2023-08-03 02:21:02,512 - train: [ INFO] - Test: [ 0/7] Time: 0.796 (0.796) Loss: 0.9663 (0.9663) Acc@1: 77.5000 (77.5000)Acc@5: 91.6667 (91.6667) + +2023-08-03 02:21:04,131 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.302) Loss: 0.8033 (1.0138) Acc@1: 83.3333 (77.8161)Acc@5: 96.6667 (91.4943) + +2023-08-03 02:21:05,907 - train: [ INFO] - Train: 271 [ 0/65 (100%)] Loss: 0.004313 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.519s, 79.01/s (1.519s, 79.01/s) LR: 2.318e-05 +2023-08-03 02:21:22,913 - train: [ INFO] - Train: 271 [ 50/65 (100%)] Loss: 0.004136 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.14/s (0.363s, 330.40/s) LR: 2.318e-05 +2023-08-03 02:21:27,690 - train: [ INFO] - Train: 271 [ 64/65 (100%)] Loss: 0.004098 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.75/s (0.358s, 334.77/s) LR: 2.318e-05 +2023-08-03 02:21:28,624 - train: [ INFO] - Test: [ 0/7] Time: 0.790 (0.790) Loss: 1.0440 (1.0440) Acc@1: 78.3333 (78.3333)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:21:30,197 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.295) Loss: 1.0461 (1.0359) Acc@1: 86.6667 (77.8161)Acc@5: 90.0000 (90.1149) + +2023-08-03 02:21:31,903 - train: [ INFO] - Train: 272 [ 0/65 (100%)] Loss: 0.004177 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.448s, 82.87/s (1.448s, 82.87/s) LR: 2.229e-05 +2023-08-03 02:21:48,812 - train: [ INFO] - Train: 272 [ 50/65 (100%)] Loss: 0.004013 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.334s, 358.93/s (0.360s, 333.41/s) LR: 2.229e-05 +2023-08-03 02:21:53,551 - train: [ INFO] - Train: 272 [ 64/65 (100%)] Loss: 0.004351 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.08/s (0.355s, 337.74/s) LR: 2.229e-05 +2023-08-03 02:21:54,504 - train: [ INFO] - Test: [ 0/7] Time: 0.803 (0.803) Loss: 1.2045 (1.2045) Acc@1: 73.3333 (73.3333)Acc@5: 87.5000 (87.5000) + +2023-08-03 02:21:56,087 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.298) Loss: 0.5500 (0.9951) Acc@1: 93.3333 (78.7356)Acc@5: 96.6667 (90.9195) + +2023-08-03 02:21:57,804 - train: [ INFO] - Train: 273 [ 0/65 (100%)] Loss: 0.004046 (0.0040) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.469s, 81.66/s (1.469s, 81.66/s) LR: 2.143e-05 +2023-08-03 02:22:14,857 - train: [ INFO] - Train: 273 [ 50/65 (100%)] Loss: 0.004103 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.70/s (0.363s, 330.44/s) LR: 2.143e-05 +2023-08-03 02:22:19,599 - train: [ INFO] - Train: 273 [ 64/65 (100%)] Loss: 0.004157 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 357.33/s (0.358s, 335.31/s) LR: 2.143e-05 +2023-08-03 02:22:20,588 - train: [ INFO] - Test: [ 0/7] Time: 0.846 (0.846) Loss: 1.1812 (1.1812) Acc@1: 74.1667 (74.1667)Acc@5: 89.1667 (89.1667) + +2023-08-03 02:22:22,143 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.300) Loss: 1.1930 (1.0409) Acc@1: 73.3333 (77.7012)Acc@5: 86.6667 (89.8851) + +2023-08-03 02:22:23,880 - train: [ INFO] - Train: 274 [ 0/65 (100%)] Loss: 0.004065 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.454s, 82.51/s (1.454s, 82.51/s) LR: 2.061e-05 +2023-08-03 02:22:40,847 - train: [ INFO] - Train: 274 [ 50/65 (100%)] Loss: 0.004282 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.17/s (0.361s, 332.23/s) LR: 2.061e-05 +2023-08-03 02:22:45,628 - train: [ INFO] - Train: 274 [ 64/65 (100%)] Loss: 0.004243 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.75/s (0.357s, 336.19/s) LR: 2.061e-05 +2023-08-03 02:22:46,588 - train: [ INFO] - Test: [ 0/7] Time: 0.799 (0.799) Loss: 1.0356 (1.0356) Acc@1: 80.0000 (80.0000)Acc@5: 87.5000 (87.5000) + +2023-08-03 02:22:48,122 - train: [ INFO] - Test: [ 7/7] Time: 0.035 (0.292) Loss: 1.1017 (1.0202) Acc@1: 73.3333 (78.1609)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:22:49,894 - train: [ INFO] - Train: 275 [ 0/65 (100%)] Loss: 0.004217 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.473s, 81.48/s (1.473s, 81.48/s) LR: 1.981e-05 +2023-08-03 02:23:06,823 - train: [ INFO] - Train: 275 [ 50/65 (100%)] Loss: 0.004173 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.76/s (0.361s, 332.60/s) LR: 1.981e-05 +2023-08-03 02:23:11,556 - train: [ INFO] - Train: 275 [ 64/65 (100%)] Loss: 0.004069 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.25/s (0.356s, 337.19/s) LR: 1.981e-05 +2023-08-03 02:23:12,536 - train: [ INFO] - Test: [ 0/7] Time: 0.823 (0.823) Loss: 1.1121 (1.1121) Acc@1: 77.5000 (77.5000)Acc@5: 87.5000 (87.5000) + +2023-08-03 02:23:14,115 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.300) Loss: 1.7042 (1.0135) Acc@1: 66.6667 (78.2759)Acc@5: 83.3333 (90.3448) + +2023-08-03 02:23:15,844 - train: [ INFO] - Train: 276 [ 0/65 (100%)] Loss: 0.004174 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.473s, 81.48/s (1.473s, 81.48/s) LR: 1.905e-05 +2023-08-03 02:23:32,856 - train: [ INFO] - Train: 276 [ 50/65 (100%)] Loss: 0.004293 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.56/s (0.362s, 331.10/s) LR: 1.905e-05 +2023-08-03 02:23:37,644 - train: [ INFO] - Train: 276 [ 64/65 (100%)] Loss: 0.003985 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.345s, 347.74/s (0.358s, 335.18/s) LR: 1.905e-05 +2023-08-03 02:23:38,649 - train: [ INFO] - Test: [ 0/7] Time: 0.823 (0.823) Loss: 1.1383 (1.1383) Acc@1: 76.6667 (76.6667)Acc@5: 90.8333 (90.8333) + +2023-08-03 02:23:40,224 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.300) Loss: 0.9359 (1.0399) Acc@1: 80.0000 (77.8161)Acc@5: 96.6667 (90.1149) + +2023-08-03 02:23:42,031 - train: [ INFO] - Train: 277 [ 0/65 (100%)] Loss: 0.004222 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.507s, 79.65/s (1.507s, 79.65/s) LR: 1.831e-05 +2023-08-03 02:23:59,013 - train: [ INFO] - Train: 277 [ 50/65 (100%)] Loss: 0.004294 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 352.27/s (0.362s, 331.04/s) LR: 1.831e-05 +2023-08-03 02:24:03,776 - train: [ INFO] - Train: 277 [ 64/65 (100%)] Loss: 0.004272 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.99/s (0.358s, 335.49/s) LR: 1.831e-05 +2023-08-03 02:24:04,721 - train: [ INFO] - Test: [ 0/7] Time: 0.811 (0.811) Loss: 1.2028 (1.2028) Acc@1: 73.3333 (73.3333)Acc@5: 85.0000 (85.0000) + +2023-08-03 02:24:06,314 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.301) Loss: 0.9688 (1.0154) Acc@1: 80.0000 (78.7356)Acc@5: 90.0000 (90.6897) + +2023-08-03 02:24:07,970 - train: [ INFO] - Train: 278 [ 0/65 (100%)] Loss: 0.004157 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.403s, 85.51/s (1.403s, 85.51/s) LR: 1.761e-05 +2023-08-03 02:24:24,962 - train: [ INFO] - Train: 278 [ 50/65 (100%)] Loss: 0.004002 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.24/s (0.361s, 332.72/s) LR: 1.761e-05 +2023-08-03 02:24:29,704 - train: [ INFO] - Train: 278 [ 64/65 (100%)] Loss: 0.004150 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.36/s (0.356s, 337.16/s) LR: 1.761e-05 +2023-08-03 02:24:30,632 - train: [ INFO] - Test: [ 0/7] Time: 0.793 (0.793) Loss: 0.9653 (0.9653) Acc@1: 78.3333 (78.3333)Acc@5: 93.3333 (93.3333) + +2023-08-03 02:24:32,204 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.296) Loss: 1.6818 (1.0190) Acc@1: 70.0000 (78.2759)Acc@5: 76.6667 (90.2299) + +2023-08-03 02:24:33,944 - train: [ INFO] - Train: 279 [ 0/65 (100%)] Loss: 0.004253 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.474s, 81.40/s (1.474s, 81.40/s) LR: 1.694e-05 +2023-08-03 02:24:50,938 - train: [ INFO] - Train: 279 [ 50/65 (100%)] Loss: 0.003949 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 351.28/s (0.362s, 331.39/s) LR: 1.694e-05 +2023-08-03 02:24:55,716 - train: [ INFO] - Train: 279 [ 64/65 (100%)] Loss: 0.004118 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.11/s (0.358s, 335.56/s) LR: 1.694e-05 +2023-08-03 02:24:56,669 - train: [ INFO] - Test: [ 0/7] Time: 0.796 (0.796) Loss: 0.9506 (0.9506) Acc@1: 80.8333 (80.8333)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:24:58,228 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.294) Loss: 1.5891 (1.0412) Acc@1: 73.3333 (77.5862)Acc@5: 83.3333 (90.3448) + +2023-08-03 02:24:59,977 - train: [ INFO] - Train: 280 [ 0/65 (100%)] Loss: 0.004266 (0.0043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.510s, 79.49/s (1.510s, 79.49/s) LR: 1.629e-05 +2023-08-03 02:25:16,867 - train: [ INFO] - Train: 280 [ 50/65 (100%)] Loss: 0.004090 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.43/s (0.361s, 332.65/s) LR: 1.629e-05 +2023-08-03 02:25:21,624 - train: [ INFO] - Train: 280 [ 64/65 (100%)] Loss: 0.004093 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.39/s (0.356s, 336.87/s) LR: 1.629e-05 +2023-08-03 02:25:22,568 - train: [ INFO] - Test: [ 0/7] Time: 0.808 (0.808) Loss: 1.0958 (1.0958) Acc@1: 77.5000 (77.5000)Acc@5: 91.6667 (91.6667) + +2023-08-03 02:25:24,121 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.295) Loss: 1.1606 (1.0080) Acc@1: 70.0000 (78.2759)Acc@5: 96.6667 (91.4943) + +2023-08-03 02:25:25,872 - train: [ INFO] - Train: 281 [ 0/65 (100%)] Loss: 0.004154 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.491s, 80.50/s (1.491s, 80.50/s) LR: 1.568e-05 +2023-08-03 02:25:42,891 - train: [ INFO] - Train: 281 [ 50/65 (100%)] Loss: 0.004089 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.08/s (0.363s, 330.67/s) LR: 1.568e-05 +2023-08-03 02:25:47,652 - train: [ INFO] - Train: 281 [ 64/65 (100%)] Loss: 0.004332 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.59/s (0.358s, 335.22/s) LR: 1.568e-05 +2023-08-03 02:25:48,590 - train: [ INFO] - Test: [ 0/7] Time: 0.803 (0.803) Loss: 1.1502 (1.1502) Acc@1: 74.1667 (74.1667)Acc@5: 90.8333 (90.8333) + +2023-08-03 02:25:50,105 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.290) Loss: 1.0573 (1.0187) Acc@1: 80.0000 (78.8506)Acc@5: 86.6667 (90.1149) + +2023-08-03 02:25:51,804 - train: [ INFO] - Train: 282 [ 0/65 (100%)] Loss: 0.004537 (0.0045) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.451s, 82.70/s (1.451s, 82.70/s) LR: 1.510e-05 +2023-08-03 02:26:08,778 - train: [ INFO] - Train: 282 [ 50/65 (100%)] Loss: 0.004099 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 352.57/s (0.361s, 332.17/s) LR: 1.510e-05 +2023-08-03 02:26:13,533 - train: [ INFO] - Train: 282 [ 64/65 (100%)] Loss: 0.004182 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.55/s (0.357s, 336.53/s) LR: 1.510e-05 +2023-08-03 02:26:14,505 - train: [ INFO] - Test: [ 0/7] Time: 0.828 (0.828) Loss: 1.0657 (1.0657) Acc@1: 76.6667 (76.6667)Acc@5: 92.5000 (92.5000) + +2023-08-03 02:26:16,067 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.299) Loss: 1.1423 (1.0588) Acc@1: 83.3333 (78.1609)Acc@5: 90.0000 (89.4253) + +2023-08-03 02:26:17,834 - train: [ INFO] - Train: 283 [ 0/65 (100%)] Loss: 0.004059 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.481s, 81.05/s (1.481s, 81.05/s) LR: 1.455e-05 +2023-08-03 02:26:34,741 - train: [ INFO] - Train: 283 [ 50/65 (100%)] Loss: 0.004156 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.44/s (0.360s, 332.87/s) LR: 1.455e-05 +2023-08-03 02:26:39,518 - train: [ INFO] - Train: 283 [ 64/65 (100%)] Loss: 0.004368 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 348.55/s (0.356s, 336.76/s) LR: 1.455e-05 +2023-08-03 02:26:40,454 - train: [ INFO] - Test: [ 0/7] Time: 0.818 (0.818) Loss: 1.2567 (1.2567) Acc@1: 73.3333 (73.3333)Acc@5: 85.8333 (85.8333) + +2023-08-03 02:26:42,055 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.302) Loss: 1.1345 (1.0234) Acc@1: 80.0000 (78.5058)Acc@5: 93.3333 (90.1149) + +2023-08-03 02:26:43,777 - train: [ INFO] - Train: 284 [ 0/65 (100%)] Loss: 0.003973 (0.0040) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.452s, 82.63/s (1.452s, 82.63/s) LR: 1.403e-05 +2023-08-03 02:27:00,850 - train: [ INFO] - Train: 284 [ 50/65 (100%)] Loss: 0.004053 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.91/s (0.363s, 330.38/s) LR: 1.403e-05 +2023-08-03 02:27:05,560 - train: [ INFO] - Train: 284 [ 64/65 (100%)] Loss: 0.004200 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.99/s (0.357s, 335.72/s) LR: 1.403e-05 +2023-08-03 02:27:06,514 - train: [ INFO] - Test: [ 0/7] Time: 0.805 (0.805) Loss: 0.7941 (0.7941) Acc@1: 83.3333 (83.3333)Acc@5: 91.6667 (91.6667) + +2023-08-03 02:27:08,049 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.293) Loss: 0.7410 (1.0090) Acc@1: 80.0000 (79.0805)Acc@5: 96.6667 (90.2299) + +2023-08-03 02:27:09,793 - train: [ INFO] - Train: 285 [ 0/65 (100%)] Loss: 0.004404 (0.0044) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.479s, 81.12/s (1.479s, 81.12/s) LR: 1.355e-05 +2023-08-03 02:27:26,775 - train: [ INFO] - Train: 285 [ 50/65 (100%)] Loss: 0.004027 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.23/s (0.362s, 331.53/s) LR: 1.355e-05 +2023-08-03 02:27:31,522 - train: [ INFO] - Train: 285 [ 64/65 (100%)] Loss: 0.004256 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.59/s (0.357s, 336.12/s) LR: 1.355e-05 +2023-08-03 02:27:32,496 - train: [ INFO] - Test: [ 0/7] Time: 0.825 (0.825) Loss: 1.0125 (1.0125) Acc@1: 77.5000 (77.5000)Acc@5: 93.3333 (93.3333) + +2023-08-03 02:27:34,163 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.312) Loss: 0.9244 (1.0412) Acc@1: 83.3333 (78.5058)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:27:35,957 - train: [ INFO] - Train: 286 [ 0/65 (100%)] Loss: 0.003955 (0.0040) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.512s, 79.38/s (1.512s, 79.38/s) LR: 1.309e-05 +2023-08-03 02:27:52,906 - train: [ INFO] - Train: 286 [ 50/65 (100%)] Loss: 0.004166 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.49/s (0.362s, 331.55/s) LR: 1.309e-05 +2023-08-03 02:27:57,655 - train: [ INFO] - Train: 286 [ 64/65 (100%)] Loss: 0.004046 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.53/s (0.357s, 336.11/s) LR: 1.309e-05 +2023-08-03 02:27:58,575 - train: [ INFO] - Test: [ 0/7] Time: 0.792 (0.792) Loss: 0.9126 (0.9126) Acc@1: 77.5000 (77.5000)Acc@5: 89.1667 (89.1667) + +2023-08-03 02:28:00,096 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.289) Loss: 1.0165 (1.0196) Acc@1: 73.3333 (78.0460)Acc@5: 93.3333 (90.3448) + +2023-08-03 02:28:01,845 - train: [ INFO] - Train: 287 [ 0/65 (100%)] Loss: 0.004142 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.508s, 79.60/s (1.508s, 79.60/s) LR: 1.266e-05 +2023-08-03 02:28:18,891 - train: [ INFO] - Train: 287 [ 50/65 (100%)] Loss: 0.004113 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.74/s (0.364s, 329.88/s) LR: 1.266e-05 +2023-08-03 02:28:23,635 - train: [ INFO] - Train: 287 [ 64/65 (100%)] Loss: 0.004144 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.33/s (0.358s, 334.83/s) LR: 1.266e-05 +2023-08-03 02:28:24,604 - train: [ INFO] - Test: [ 0/7] Time: 0.828 (0.828) Loss: 0.9740 (0.9740) Acc@1: 82.5000 (82.5000)Acc@5: 89.1667 (89.1667) + +2023-08-03 02:28:26,147 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.296) Loss: 0.9831 (1.0577) Acc@1: 83.3333 (77.9310)Acc@5: 90.0000 (90.1149) + +2023-08-03 02:28:27,874 - train: [ INFO] - Train: 288 [ 0/65 (100%)] Loss: 0.004182 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.463s, 82.00/s (1.463s, 82.00/s) LR: 1.227e-05 +2023-08-03 02:28:44,852 - train: [ INFO] - Train: 288 [ 50/65 (100%)] Loss: 0.004134 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.336s, 356.69/s (0.362s, 331.88/s) LR: 1.227e-05 +2023-08-03 02:28:49,620 - train: [ INFO] - Train: 288 [ 64/65 (100%)] Loss: 0.004182 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.22/s (0.357s, 336.09/s) LR: 1.227e-05 +2023-08-03 02:28:50,575 - train: [ INFO] - Test: [ 0/7] Time: 0.787 (0.787) Loss: 0.8760 (0.8760) Acc@1: 79.1667 (79.1667)Acc@5: 95.0000 (95.0000) + +2023-08-03 02:28:52,154 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.296) Loss: 1.2881 (1.0491) Acc@1: 73.3333 (77.3563)Acc@5: 93.3333 (90.3448) + +2023-08-03 02:28:53,906 - train: [ INFO] - Train: 289 [ 0/65 (100%)] Loss: 0.004243 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.483s, 80.91/s (1.483s, 80.91/s) LR: 1.191e-05 +2023-08-03 02:29:10,851 - train: [ INFO] - Train: 289 [ 50/65 (100%)] Loss: 0.004103 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 356.59/s (0.361s, 332.13/s) LR: 1.191e-05 +2023-08-03 02:29:15,572 - train: [ INFO] - Train: 289 [ 64/65 (100%)] Loss: 0.004029 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 355.05/s (0.356s, 336.98/s) LR: 1.191e-05 +2023-08-03 02:29:16,498 - train: [ INFO] - Test: [ 0/7] Time: 0.786 (0.786) Loss: 0.8614 (0.8614) Acc@1: 82.5000 (82.5000)Acc@5: 92.5000 (92.5000) + +2023-08-03 02:29:18,062 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.294) Loss: 0.9202 (1.0143) Acc@1: 80.0000 (78.7356)Acc@5: 90.0000 (90.2299) + +2023-08-03 02:29:19,765 - train: [ INFO] - Train: 290 [ 0/65 (100%)] Loss: 0.004143 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.457s, 82.39/s (1.457s, 82.39/s) LR: 1.158e-05 +2023-08-03 02:29:36,773 - train: [ INFO] - Train: 290 [ 50/65 (100%)] Loss: 0.004059 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.39/s (0.362s, 331.48/s) LR: 1.158e-05 +2023-08-03 02:29:41,564 - train: [ INFO] - Train: 290 [ 64/65 (100%)] Loss: 0.004066 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.70/s (0.358s, 335.44/s) LR: 1.158e-05 +2023-08-03 02:29:42,526 - train: [ INFO] - Test: [ 0/7] Time: 0.811 (0.811) Loss: 0.8450 (0.8450) Acc@1: 84.1667 (84.1667)Acc@5: 90.8333 (90.8333) + +2023-08-03 02:29:44,078 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.295) Loss: 0.6646 (1.0397) Acc@1: 86.6667 (77.8161)Acc@5: 100.0000 (89.6552) + +2023-08-03 02:29:45,841 - train: [ INFO] - Train: 291 [ 0/65 (100%)] Loss: 0.004020 (0.0040) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.498s, 80.10/s (1.498s, 80.10/s) LR: 1.128e-05 +2023-08-03 02:30:02,767 - train: [ INFO] - Train: 291 [ 50/65 (100%)] Loss: 0.004159 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.38/s (0.361s, 332.20/s) LR: 1.128e-05 +2023-08-03 02:30:07,545 - train: [ INFO] - Train: 291 [ 64/65 (100%)] Loss: 0.004051 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.94/s (0.357s, 336.20/s) LR: 1.128e-05 +2023-08-03 02:30:08,475 - train: [ INFO] - Test: [ 0/7] Time: 0.800 (0.800) Loss: 0.8469 (0.8469) Acc@1: 80.0000 (80.0000)Acc@5: 91.6667 (91.6667) + +2023-08-03 02:30:10,072 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.300) Loss: 1.5627 (1.0417) Acc@1: 66.6667 (78.2759)Acc@5: 76.6667 (90.0000) + +2023-08-03 02:30:11,846 - train: [ INFO] - Train: 292 [ 0/65 (100%)] Loss: 0.003947 (0.0039) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.500s, 79.98/s (1.500s, 79.98/s) LR: 1.101e-05 +2023-08-03 02:30:28,855 - train: [ INFO] - Train: 292 [ 50/65 (100%)] Loss: 0.004056 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 349.47/s (0.363s, 330.67/s) LR: 1.101e-05 +2023-08-03 02:30:33,600 - train: [ INFO] - Train: 292 [ 64/65 (100%)] Loss: 0.004055 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 357.94/s (0.358s, 335.45/s) LR: 1.101e-05 +2023-08-03 02:30:34,549 - train: [ INFO] - Test: [ 0/7] Time: 0.791 (0.791) Loss: 1.1600 (1.1600) Acc@1: 75.0000 (75.0000)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:30:36,090 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.291) Loss: 0.9860 (1.0208) Acc@1: 80.0000 (78.1609)Acc@5: 86.6667 (90.4598) + +2023-08-03 02:30:37,891 - train: [ INFO] - Train: 293 [ 0/65 (100%)] Loss: 0.004048 (0.0040) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.505s, 79.75/s (1.505s, 79.75/s) LR: 1.077e-05 +2023-08-03 02:30:54,860 - train: [ INFO] - Train: 293 [ 50/65 (100%)] Loss: 0.004252 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.62/s (0.362s, 331.31/s) LR: 1.077e-05 +2023-08-03 02:30:59,638 - train: [ INFO] - Train: 293 [ 64/65 (100%)] Loss: 0.003953 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.342s, 350.77/s (0.358s, 335.48/s) LR: 1.077e-05 +2023-08-03 02:31:00,606 - train: [ INFO] - Test: [ 0/7] Time: 0.819 (0.819) Loss: 0.9591 (0.9591) Acc@1: 81.6667 (81.6667)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:31:02,136 - train: [ INFO] - Test: [ 7/7] Time: 0.033 (0.294) Loss: 1.0354 (1.0325) Acc@1: 73.3333 (78.5058)Acc@5: 93.3333 (89.8851) + +2023-08-03 02:31:03,891 - train: [ INFO] - Train: 294 [ 0/65 (100%)] Loss: 0.003919 (0.0039) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.478s, 81.22/s (1.478s, 81.22/s) LR: 1.057e-05 +2023-08-03 02:31:20,800 - train: [ INFO] - Train: 294 [ 50/65 (100%)] Loss: 0.004034 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.341s, 351.97/s (0.360s, 332.88/s) LR: 1.057e-05 +2023-08-03 02:31:25,552 - train: [ INFO] - Train: 294 [ 64/65 (100%)] Loss: 0.004086 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.40/s (0.356s, 337.13/s) LR: 1.057e-05 +2023-08-03 02:31:26,506 - train: [ INFO] - Test: [ 0/7] Time: 0.817 (0.817) Loss: 0.8905 (0.8905) Acc@1: 81.6667 (81.6667)Acc@5: 90.8333 (90.8333) + +2023-08-03 02:31:28,038 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.294) Loss: 0.9423 (1.0094) Acc@1: 80.0000 (78.1609)Acc@5: 86.6667 (90.1149) + +2023-08-03 02:31:29,739 - train: [ INFO] - Train: 295 [ 0/65 (100%)] Loss: 0.003906 (0.0039) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.442s, 83.22/s (1.442s, 83.22/s) LR: 1.039e-05 +2023-08-03 02:31:46,811 - train: [ INFO] - Train: 295 [ 50/65 (100%)] Loss: 0.004135 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.338s, 354.62/s (0.363s, 330.59/s) LR: 1.039e-05 +2023-08-03 02:31:51,572 - train: [ INFO] - Train: 295 [ 64/65 (100%)] Loss: 0.003966 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.344s, 349.30/s (0.358s, 335.15/s) LR: 1.039e-05 +2023-08-03 02:31:52,497 - train: [ INFO] - Test: [ 0/7] Time: 0.757 (0.757) Loss: 0.9514 (0.9514) Acc@1: 77.5000 (77.5000)Acc@5: 93.3333 (93.3333) + +2023-08-03 02:31:54,056 - train: [ INFO] - Test: [ 7/7] Time: 0.032 (0.290) Loss: 0.8256 (1.0560) Acc@1: 86.6667 (77.4713)Acc@5: 90.0000 (90.0000) + +2023-08-03 02:31:55,814 - train: [ INFO] - Train: 296 [ 0/65 (100%)] Loss: 0.004127 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.449s, 82.83/s (1.449s, 82.83/s) LR: 1.025e-05 +2023-08-03 02:32:12,773 - train: [ INFO] - Train: 296 [ 50/65 (100%)] Loss: 0.004002 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.15/s (0.361s, 332.50/s) LR: 1.025e-05 +2023-08-03 02:32:17,544 - train: [ INFO] - Train: 296 [ 64/65 (100%)] Loss: 0.004041 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 354.06/s (0.357s, 336.54/s) LR: 1.025e-05 +2023-08-03 02:32:18,520 - train: [ INFO] - Test: [ 0/7] Time: 0.832 (0.832) Loss: 1.4429 (1.4429) Acc@1: 71.6667 (71.6667)Acc@5: 83.3333 (83.3333) + +2023-08-03 02:32:20,101 - train: [ INFO] - Test: [ 7/7] Time: 0.031 (0.301) Loss: 0.8432 (1.0078) Acc@1: 86.6667 (78.1609)Acc@5: 93.3333 (90.4598) + +2023-08-03 02:32:21,893 - train: [ INFO] - Train: 297 [ 0/65 (100%)] Loss: 0.003990 (0.0040) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.507s, 79.65/s (1.507s, 79.65/s) LR: 1.014e-05 +2023-08-03 02:32:38,804 - train: [ INFO] - Train: 297 [ 50/65 (100%)] Loss: 0.004040 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.335s, 358.42/s (0.361s, 332.31/s) LR: 1.014e-05 +2023-08-03 02:32:43,521 - train: [ INFO] - Train: 297 [ 64/65 (100%)] Loss: 0.004111 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.339s, 353.81/s (0.356s, 337.18/s) LR: 1.014e-05 +2023-08-03 02:32:44,423 - train: [ INFO] - Test: [ 0/7] Time: 0.787 (0.787) Loss: 0.8269 (0.8269) Acc@1: 78.3333 (78.3333)Acc@5: 95.8333 (95.8333) + +2023-08-03 02:32:46,054 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.302) Loss: 1.2569 (1.0228) Acc@1: 80.0000 (78.6207)Acc@5: 86.6667 (90.2299) + +2023-08-03 02:32:47,804 - train: [ INFO] - Train: 298 [ 0/65 (100%)] Loss: 0.004078 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.483s, 80.92/s (1.483s, 80.92/s) LR: 1.006e-05 +2023-08-03 02:33:04,899 - train: [ INFO] - Train: 298 [ 50/65 (100%)] Loss: 0.004018 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.346s, 346.36/s (0.364s, 329.45/s) LR: 1.006e-05 +2023-08-03 02:33:09,610 - train: [ INFO] - Train: 298 [ 64/65 (100%)] Loss: 0.003887 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.337s, 355.81/s (0.358s, 334.95/s) LR: 1.006e-05 +2023-08-03 02:33:10,599 - train: [ INFO] - Test: [ 0/7] Time: 0.819 (0.819) Loss: 1.1271 (1.1271) Acc@1: 79.1667 (79.1667)Acc@5: 89.1667 (89.1667) + +2023-08-03 02:33:12,131 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.294) Loss: 1.0113 (1.0344) Acc@1: 66.6667 (78.0460)Acc@5: 90.0000 (90.5747) + +2023-08-03 02:33:13,877 - train: [ INFO] - Train: 299 [ 0/65 (100%)] Loss: 0.004223 (0.0042) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 1.476s, 81.29/s (1.476s, 81.29/s) LR: 1.002e-05 +2023-08-03 02:33:30,831 - train: [ INFO] - Train: 299 [ 50/65 (100%)] Loss: 0.003974 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.340s, 353.45/s (0.361s, 332.08/s) LR: 1.002e-05 +2023-08-03 02:33:35,607 - train: [ INFO] - Train: 299 [ 64/65 (100%)] Loss: 0.003890 (0.0041) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.343s, 350.30/s (0.357s, 336.15/s) LR: 1.002e-05 +2023-08-03 02:33:36,552 - train: [ INFO] - Test: [ 0/7] Time: 0.814 (0.814) Loss: 0.9682 (0.9682) Acc@1: 78.3333 (78.3333)Acc@5: 95.0000 (95.0000) + +2023-08-03 02:33:38,126 - train: [ INFO] - Test: [ 7/7] Time: 0.034 (0.299) Loss: 0.7078 (1.0411) Acc@1: 80.0000 (77.5862)Acc@5: 96.6667 (90.4598) + +2023-08-03 02:33:38,372 - train: [ INFO] - *** Best metric: 79.6551768861968 (epoch 248) diff --git a/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/model_best.pth.tar b/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/model_best.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..d6dc359ae93f80db07193c4382ff2211bc3c7f7e --- /dev/null +++ b/VGG_SNN-NCALTECH101-10-seed_42-bs_120-DA_False-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/model_best.pth.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f74ee289824f3c5c9aee4b1b6167fdd2c57c2d011e344075f63ad2e685d5ebf6 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0000000000000000000000000000000000000000..6114e9bcd9628358f23f155655d0a48b29e9493b --- /dev/null +++ b/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/args.yaml @@ -0,0 +1,142 @@ +DVS_DA: true +TET_loss_first: true +TET_loss_second: true +aa: rand-m9-mstd0.5-inc1 +act_fun: QGateGrad +adam_epoch: 1000 +adaptive_node: false +amp: false +apex_amp: false +aug_splits: 0 +batch_size: 120 +bn_eps: null +bn_momentum: null +bn_tf: false +channels_last: false +clip_grad: null +color_jitter: 0.4 +conf_mat: false +cooldown_epochs: 10 +critical_loss: false +crop_pct: null +cut_mix: false +cutmix: 1.0 +cutmix_beta: 1.0 +cutmix_minmax: null +cutmix_noise: 0.0 +cutmix_num: 1 +cutmix_prob: 0.5 +dataset: CEPDVS +decay_epochs: 30 +decay_rate: 0.1 +device: 6 +dist_bn: '' +drop: 0.0 +drop_block: null +drop_connect: null +drop_path: 0.1 +encode: direct +epochs: 200 +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: '' +interpolation: '' +jsd: false +kernel_method: cuda +layer_by_layer: 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 +min_lr: 1.0e-05 +mix_up: false +mixup: 0.8 +mixup_mode: batch +mixup_off_epoch: 0 +mixup_prob: 1.0 +mixup_switch_prob: 0.5 +model: resnet18 +model_ema: false +model_ema_decay: 0.99996 +model_ema_force_cpu: false +momentum: 0.9 +n_groups: 1 +native_amp: false +newton_maxiter: 20 +no_aug: false +no_prefetcher: false +no_resume_opt: false +node_resume: '' +node_trainable: false +node_type: LIFNode +noisy_grad: 0.0 +num_classes: 20 +num_gpu: 1 +opt: adamw +opt_betas: null +opt_eps: 1.0e-08 +output: /home/hexiang/DomainAdaptation_DVS/Results/ +patience_epochs: 10 +pin_mem: false +power: 1 +pretrained: false +rand_aug: false +randaug_m: 15 +randaug_n: 3 +ratio: +- 0.75 +- 1.3333333333333333 +reconstructed: false +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: 90210 +sigmoid_thres: false +smoothing: 0.0 +spike_output: false +spike_rate: false +split_bn: false +start_epoch: null +std: null +step: 6 +suffix: '' +sync_bn: false +tau: 2.0 +temporal_flatten: false +threshold: 0.5 +train_interpolation: random +train_portion: 0.5 +traindata_ratio: 1.0 +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: 0.01 +workers: 8 diff --git a/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/log.txt b/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/log.txt new file mode 100644 index 0000000000000000000000000000000000000000..74149d65cee9b68884c50046893f8d8a9bfd091a --- /dev/null +++ b/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/log.txt @@ -0,0 +1,1260 @@ +2023-08-05 09:17:21,432 - train: [ INFO] - Training with a single process on 1 GPUs. +2023-08-05 09:17:21,690 - train: [ INFO] - learning rate is 0.000586 +2023-08-05 09:17:21,691 - train: [ INFO] - Model resnet18 created, param count: 11177658 +2023-08-05 09:17:24,373 - train: [ INFO] - AMP not enabled. Training in float32. +2023-08-05 09:17:24,374 - train: [ INFO] - Scheduled epochs: 210 +2023-08-05 09:17:45,626 - train: [ INFO] - Train: 0 [ 0/41 (100%)] Loss: 3.000640 (3.0006) Acc@1: 4.1667 ( 4.1667) Acc@5: 19.1667 (19.1667) Time: 8.876s, 13.52/s (8.876s, 13.52/s) LR: 1.000e-06 +2023-08-05 09:18:13,170 - train: [ INFO] - Train: 0 [ 40/41 (100%)] Loss: 3.001465 (2.9988) Acc@1: 5.0000 ( 4.6951) Acc@5: 23.3333 (24.3293) Time: 0.693s, 173.23/s (0.888s, 135.09/s) LR: 1.000e-06 +2023-08-05 09:18:15,873 - train: [ INFO] - Test: [ 0/16] Time: 1.858 (1.858) Loss: 2.9989 (2.9989) Acc@1: 5.8333 ( 5.8333)Acc@5: 17.5000 (17.5000) + +2023-08-05 09:18:19,460 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.320) Loss: 2.9929 (2.9973) Acc@1: 5.0000 ( 5.8000)Acc@5: 22.5000 (23.9500) + +2023-08-05 09:18:20,553 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-0.pth.tar', 5.800000267028809) + +2023-08-05 09:18:24,156 - train: [ INFO] - Train: 1 [ 0/41 (100%)] Loss: 2.999714 (2.9997) Acc@1: 4.1667 ( 4.1667) Acc@5: 25.8333 (25.8333) Time: 3.602s, 33.31/s (3.602s, 33.31/s) LR: 1.180e-04 +2023-08-05 09:18:51,043 - train: [ INFO] - Train: 1 [ 40/41 (100%)] Loss: 2.917934 (2.9474) Acc@1: 7.5000 ( 8.6789) Acc@5: 35.8333 (33.8821) Time: 0.711s, 168.74/s (0.744s, 161.38/s) LR: 1.180e-04 +2023-08-05 09:18:53,766 - train: [ INFO] - Test: [ 0/16] Time: 1.871 (1.871) Loss: 2.8999 (2.8999) Acc@1: 10.8333 (10.8333)Acc@5: 39.1667 (39.1667) + +2023-08-05 09:18:57,362 - train: [ INFO] - Test: [ 16/16] Time: 0.158 (0.322) Loss: 2.9468 (2.9367) Acc@1: 6.2500 ( 7.7000)Acc@5: 43.7500 (33.5500) + +2023-08-05 09:18:58,478 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-1.pth.tar', 7.700000448226929) + +2023-08-05 09:19:02,060 - train: [ INFO] - Train: 2 [ 0/41 (100%)] Loss: 2.896352 (2.8964) Acc@1: 9.1667 ( 9.1667) Acc@5: 36.6667 (36.6667) Time: 3.567s, 33.65/s (3.567s, 33.65/s) LR: 2.350e-04 +2023-08-05 09:19:29,076 - train: [ INFO] - Train: 2 [ 40/41 (100%)] Loss: 2.846995 (2.9166) Acc@1: 15.0000 ( 9.9797) Acc@5: 40.8333 (37.2764) Time: 0.695s, 172.62/s (0.746s, 160.88/s) LR: 2.350e-04 +2023-08-05 09:19:32,018 - train: [ INFO] - Test: [ 0/16] Time: 1.928 (1.928) Loss: 3.1049 (3.1049) Acc@1: 8.3333 ( 8.3333)Acc@5: 33.3333 (33.3333) + +2023-08-05 09:19:35,247 - train: [ INFO] - Test: [ 16/16] Time: 0.155 (0.303) Loss: 3.0305 (3.1037) Acc@1: 7.5000 ( 8.1000)Acc@5: 35.0000 (33.9000) + +2023-08-05 09:19:36,159 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-2.pth.tar', 8.100000457763672) + +2023-08-05 09:19:39,844 - train: [ INFO] - Train: 3 [ 0/41 (100%)] Loss: 2.939251 (2.9393) Acc@1: 7.5000 ( 7.5000) Acc@5: 37.5000 (37.5000) Time: 3.670s, 32.70/s (3.670s, 32.70/s) LR: 3.520e-04 +2023-08-05 09:20:06,792 - train: [ INFO] - Train: 3 [ 40/41 (100%)] Loss: 2.830422 (2.9043) Acc@1: 13.3333 (11.3211) Acc@5: 45.0000 (40.2642) Time: 0.702s, 171.00/s (0.747s, 160.70/s) LR: 3.520e-04 +2023-08-05 09:20:09,533 - train: [ INFO] - Test: [ 0/16] Time: 1.829 (1.829) Loss: 2.8985 (2.8985) Acc@1: 8.3333 ( 8.3333)Acc@5: 36.6667 (36.6667) + +2023-08-05 09:20:13,116 - train: [ INFO] - Test: [ 16/16] Time: 0.158 (0.318) Loss: 2.8936 (2.8834) Acc@1: 12.5000 (10.6500)Acc@5: 40.0000 (41.6500) + +2023-08-05 09:20:13,986 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-3.pth.tar', 10.650000505447387) + +2023-08-05 09:20:17,572 - train: [ INFO] - Train: 4 [ 0/41 (100%)] Loss: 2.848566 (2.8486) Acc@1: 15.8333 (15.8333) Acc@5: 45.0000 (45.0000) Time: 3.567s, 33.64/s (3.567s, 33.64/s) LR: 4.689e-04 +2023-08-05 09:20:44,431 - train: [ INFO] - Train: 4 [ 40/41 (100%)] Loss: 2.731599 (2.8460) Acc@1: 17.5000 (14.0041) Acc@5: 50.8333 (44.7561) Time: 0.705s, 170.28/s (0.742s, 161.71/s) LR: 4.689e-04 +2023-08-05 09:20:47,122 - train: [ INFO] - Test: [ 0/16] Time: 1.883 (1.883) Loss: 2.8667 (2.8667) Acc@1: 14.1667 (14.1667)Acc@5: 40.0000 (40.0000) + +2023-08-05 09:20:50,709 - train: [ INFO] - Test: [ 16/16] Time: 0.151 (0.322) Loss: 2.7698 (2.8346) Acc@1: 15.0000 (13.5500)Acc@5: 50.0000 (45.5500) + +2023-08-05 09:20:51,656 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-4.pth.tar', 13.550000667572021) + +2023-08-05 09:20:55,321 - train: [ INFO] - Train: 5 [ 0/41 (100%)] Loss: 2.841189 (2.8412) Acc@1: 15.0000 (15.0000) Acc@5: 41.6667 (41.6667) Time: 3.649s, 32.89/s (3.649s, 32.89/s) LR: 5.850e-04 +2023-08-05 09:21:22,555 - train: [ INFO] - Train: 5 [ 40/41 (100%)] Loss: 2.615302 (2.7767) Acc@1: 21.6667 (15.6504) Acc@5: 55.0000 (49.5122) Time: 0.706s, 169.97/s (0.753s, 159.32/s) LR: 5.850e-04 +2023-08-05 09:21:25,301 - train: [ INFO] - Test: [ 0/16] Time: 1.819 (1.819) Loss: 2.7556 (2.7556) Acc@1: 12.5000 (12.5000)Acc@5: 57.5000 (57.5000) + +2023-08-05 09:21:28,194 - train: [ INFO] - Test: [ 16/16] Time: 0.153 (0.277) Loss: 2.7811 (2.7907) Acc@1: 12.5000 (14.2500)Acc@5: 48.7500 (48.8000) + +2023-08-05 09:21:29,346 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-5.pth.tar', 14.250000591278075) + +2023-08-05 09:21:32,922 - train: [ INFO] - Train: 6 [ 0/41 (100%)] Loss: 2.700378 (2.7004) Acc@1: 15.0000 (15.0000) Acc@5: 52.5000 (52.5000) Time: 3.560s, 33.71/s (3.560s, 33.71/s) LR: 5.847e-04 +2023-08-05 09:21:59,924 - train: [ INFO] - Train: 6 [ 40/41 (100%)] Loss: 2.692063 (2.7498) Acc@1: 19.1667 (16.2398) Acc@5: 50.8333 (51.4228) Time: 0.704s, 170.57/s (0.745s, 160.99/s) LR: 5.847e-04 +2023-08-05 09:22:02,746 - train: [ INFO] - Test: [ 0/16] Time: 1.927 (1.927) Loss: 2.7777 (2.7777) Acc@1: 19.1667 (19.1667)Acc@5: 48.3333 (48.3333) + +2023-08-05 09:22:06,306 - train: [ INFO] - Test: [ 16/16] Time: 0.148 (0.323) Loss: 2.9085 (2.7917) Acc@1: 10.0000 (14.9500)Acc@5: 41.2500 (46.4500) + +2023-08-05 09:22:07,411 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-6.pth.tar', 14.950000743865967) + +2023-08-05 09:22:11,033 - train: [ INFO] - Train: 7 [ 0/41 (100%)] Loss: 2.723359 (2.7234) Acc@1: 15.8333 (15.8333) Acc@5: 47.5000 (47.5000) Time: 3.607s, 33.27/s (3.607s, 33.27/s) LR: 5.842e-04 +2023-08-05 09:22:38,105 - train: [ INFO] - Train: 7 [ 40/41 (100%)] Loss: 2.689948 (2.6880) Acc@1: 20.8333 (19.3496) Acc@5: 54.1667 (54.6951) Time: 0.697s, 172.06/s (0.748s, 160.37/s) LR: 5.842e-04 +2023-08-05 09:22:40,930 - train: [ INFO] - Test: [ 0/16] Time: 1.850 (1.850) Loss: 2.7439 (2.7439) Acc@1: 17.5000 (17.5000)Acc@5: 50.0000 (50.0000) + +2023-08-05 09:22:44,482 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.318) Loss: 2.6392 (2.7423) Acc@1: 18.7500 (16.2000)Acc@5: 51.2500 (49.7500) + +2023-08-05 09:22:45,492 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-7.pth.tar', 16.200000801086425) + +2023-08-05 09:22:49,163 - train: [ INFO] - Train: 8 [ 0/41 (100%)] Loss: 2.644872 (2.6449) Acc@1: 20.8333 (20.8333) Acc@5: 53.3333 (53.3333) Time: 3.654s, 32.84/s (3.654s, 32.84/s) LR: 5.837e-04 +2023-08-05 09:23:16,940 - train: [ INFO] - Train: 8 [ 40/41 (100%)] Loss: 2.665540 (2.6557) Acc@1: 16.6667 (19.1463) Acc@5: 57.5000 (55.7114) Time: 0.702s, 170.82/s (0.767s, 156.54/s) LR: 5.837e-04 +2023-08-05 09:23:19,728 - train: [ INFO] - Test: [ 0/16] Time: 2.040 (2.040) Loss: 2.8334 (2.8334) Acc@1: 10.8333 (10.8333)Acc@5: 44.1667 (44.1667) + +2023-08-05 09:23:23,260 - train: [ INFO] - Test: [ 16/16] Time: 0.153 (0.328) Loss: 2.6384 (2.7528) Acc@1: 16.2500 (15.5500)Acc@5: 56.2500 (48.9000) + +2023-08-05 09:23:27,990 - train: [ INFO] - Train: 9 [ 0/41 (100%)] Loss: 2.659252 (2.6593) Acc@1: 20.8333 (20.8333) Acc@5: 55.0000 (55.0000) Time: 3.601s, 33.32/s (3.601s, 33.32/s) LR: 5.831e-04 +2023-08-05 09:23:54,974 - train: [ INFO] - Train: 9 [ 40/41 (100%)] Loss: 2.655965 (2.6407) Acc@1: 18.3333 (20.0813) Acc@5: 57.5000 (57.4390) Time: 0.703s, 170.80/s (0.746s, 160.87/s) LR: 5.831e-04 +2023-08-05 09:23:57,749 - train: [ INFO] - Test: [ 0/16] Time: 1.834 (1.834) Loss: 2.7816 (2.7816) Acc@1: 13.3333 (13.3333)Acc@5: 48.3333 (48.3333) + +2023-08-05 09:24:01,286 - train: [ INFO] - Test: [ 16/16] Time: 0.153 (0.316) Loss: 2.8241 (2.7353) Acc@1: 12.5000 (15.7500)Acc@5: 41.2500 (49.6500) + +2023-08-05 09:24:05,872 - train: [ INFO] - Train: 10 [ 0/41 (100%)] Loss: 2.592239 (2.5922) Acc@1: 20.8333 (20.8333) Acc@5: 61.6667 (61.6667) Time: 3.580s, 33.52/s (3.580s, 33.52/s) LR: 5.824e-04 +2023-08-05 09:24:32,764 - train: [ INFO] - Train: 10 [ 40/41 (100%)] Loss: 2.575884 (2.5841) Acc@1: 18.3333 (22.0528) Acc@5: 60.0000 (60.0407) Time: 0.696s, 172.40/s (0.743s, 161.47/s) LR: 5.824e-04 +2023-08-05 09:24:35,286 - train: [ INFO] - Test: [ 0/16] Time: 1.813 (1.813) Loss: 2.9005 (2.9005) Acc@1: 15.0000 (15.0000)Acc@5: 45.8333 (45.8333) + +2023-08-05 09:24:38,536 - train: [ INFO] - Test: [ 16/16] Time: 0.150 (0.298) Loss: 2.8988 (2.7363) Acc@1: 16.2500 (16.0000)Acc@5: 46.2500 (51.9000) + +2023-08-05 09:24:43,242 - train: [ INFO] - Train: 11 [ 0/41 (100%)] Loss: 2.578243 (2.5782) Acc@1: 20.0000 (20.0000) Acc@5: 57.5000 (57.5000) Time: 3.611s, 33.23/s (3.611s, 33.23/s) LR: 5.816e-04 +2023-08-05 09:25:10,377 - train: [ INFO] - Train: 11 [ 40/41 (100%)] Loss: 2.648934 (2.5707) Acc@1: 20.0000 (22.5000) Acc@5: 55.0000 (60.9959) Time: 0.309s, 388.78/s (0.750s, 160.03/s) LR: 5.816e-04 +2023-08-05 09:25:13,196 - train: [ INFO] - Test: [ 0/16] Time: 1.873 (1.873) Loss: 2.6062 (2.6062) Acc@1: 19.1667 (19.1667)Acc@5: 56.6667 (56.6667) + +2023-08-05 09:25:16,781 - train: [ INFO] - Test: [ 16/16] Time: 0.160 (0.321) Loss: 2.5379 (2.6328) Acc@1: 23.7500 (19.2000)Acc@5: 60.0000 (56.6000) + +2023-08-05 09:25:17,832 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-11.pth.tar', 19.200001106262206) + +2023-08-05 09:25:21,471 - train: [ INFO] - Train: 12 [ 0/41 (100%)] Loss: 2.456070 (2.4561) Acc@1: 30.8333 (30.8333) Acc@5: 63.3333 (63.3333) Time: 3.622s, 33.13/s (3.622s, 33.13/s) LR: 5.808e-04 +2023-08-05 09:25:48,323 - train: [ INFO] - Train: 12 [ 40/41 (100%)] Loss: 2.672702 (2.5541) Acc@1: 12.5000 (23.5366) Acc@5: 54.1667 (61.4837) Time: 0.687s, 174.63/s (0.743s, 161.46/s) LR: 5.808e-04 +2023-08-05 09:25:51,065 - train: [ INFO] - Test: [ 0/16] Time: 1.828 (1.828) Loss: 2.6484 (2.6484) Acc@1: 16.6667 (16.6667)Acc@5: 56.6667 (56.6667) + +2023-08-05 09:25:54,663 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.319) Loss: 2.7761 (2.6304) Acc@1: 21.2500 (19.6000)Acc@5: 48.7500 (55.7000) + +2023-08-05 09:25:55,717 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-12.pth.tar', 19.600000972747804) + +2023-08-05 09:25:59,391 - train: [ INFO] - Train: 13 [ 0/41 (100%)] Loss: 2.534641 (2.5346) Acc@1: 25.8333 (25.8333) Acc@5: 64.1667 (64.1667) Time: 3.659s, 32.79/s (3.659s, 32.79/s) LR: 5.800e-04 +2023-08-05 09:26:26,649 - train: [ INFO] - Train: 13 [ 40/41 (100%)] Loss: 2.575746 (2.5219) Acc@1: 21.6667 (24.3902) Acc@5: 56.6667 (63.0285) Time: 0.693s, 173.17/s (0.754s, 159.14/s) LR: 5.800e-04 +2023-08-05 09:26:29,389 - train: [ INFO] - Test: [ 0/16] Time: 1.833 (1.833) Loss: 2.4768 (2.4768) Acc@1: 20.8333 (20.8333)Acc@5: 62.5000 (62.5000) + +2023-08-05 09:26:32,327 - train: [ INFO] - Test: [ 16/16] Time: 0.157 (0.281) Loss: 2.4841 (2.5807) Acc@1: 23.7500 (19.8000)Acc@5: 66.2500 (59.0000) + +2023-08-05 09:26:33,455 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-13.pth.tar', 19.800001106262208) + +2023-08-05 09:26:37,069 - train: [ INFO] - Train: 14 [ 0/41 (100%)] Loss: 2.513215 (2.5132) Acc@1: 21.6667 (21.6667) Acc@5: 65.8333 (65.8333) Time: 3.596s, 33.37/s (3.596s, 33.37/s) LR: 5.790e-04 +2023-08-05 09:27:04,000 - train: [ INFO] - Train: 14 [ 40/41 (100%)] Loss: 2.449583 (2.4916) Acc@1: 30.8333 (25.4878) Acc@5: 61.6667 (63.2724) Time: 0.704s, 170.35/s (0.745s, 161.18/s) LR: 5.790e-04 +2023-08-05 09:27:06,661 - train: [ INFO] - Test: [ 0/16] Time: 1.962 (1.962) Loss: 2.4596 (2.4596) Acc@1: 26.6667 (26.6667)Acc@5: 60.0000 (60.0000) + +2023-08-05 09:27:10,252 - train: [ INFO] - Test: [ 16/16] Time: 0.156 (0.327) Loss: 2.5264 (2.5330) Acc@1: 23.7500 (20.9000)Acc@5: 58.7500 (58.9500) + +2023-08-05 09:27:11,298 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-14.pth.tar', 20.900000858306885) + +2023-08-05 09:27:14,982 - train: [ INFO] - Train: 15 [ 0/41 (100%)] Loss: 2.417549 (2.4175) Acc@1: 25.0000 (25.0000) Acc@5: 66.6667 (66.6667) Time: 3.666s, 32.74/s (3.666s, 32.74/s) LR: 5.780e-04 +2023-08-05 09:27:41,788 - train: [ INFO] - Train: 15 [ 40/41 (100%)] Loss: 2.392261 (2.4727) Acc@1: 30.0000 (26.2805) Acc@5: 66.6667 (64.5325) Time: 0.706s, 170.09/s (0.743s, 161.47/s) LR: 5.780e-04 +2023-08-05 09:27:44,626 - train: [ INFO] - Test: [ 0/16] Time: 1.832 (1.832) Loss: 2.4373 (2.4373) Acc@1: 25.0000 (25.0000)Acc@5: 66.6667 (66.6667) + +2023-08-05 09:27:48,224 - train: [ INFO] - Test: [ 16/16] Time: 0.157 (0.319) Loss: 2.4277 (2.5281) Acc@1: 28.7500 (21.5500)Acc@5: 62.5000 (59.9500) + +2023-08-05 09:27:49,372 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-15.pth.tar', 21.55000114440918) + +2023-08-05 09:27:53,019 - train: [ INFO] - Train: 16 [ 0/41 (100%)] Loss: 2.438808 (2.4388) Acc@1: 21.6667 (21.6667) Acc@5: 65.8333 (65.8333) Time: 3.629s, 33.06/s (3.629s, 33.06/s) LR: 5.769e-04 +2023-08-05 09:28:20,592 - train: [ INFO] - Train: 16 [ 40/41 (100%)] Loss: 2.435368 (2.4619) Acc@1: 22.5000 (26.0366) Acc@5: 63.3333 (65.5081) Time: 0.695s, 172.74/s (0.761s, 157.69/s) LR: 5.769e-04 +2023-08-05 09:28:23,571 - train: [ INFO] - Test: [ 0/16] Time: 1.930 (1.930) Loss: 2.4619 (2.4619) Acc@1: 25.8333 (25.8333)Acc@5: 60.0000 (60.0000) + +2023-08-05 09:28:27,170 - train: [ INFO] - Test: [ 16/16] Time: 0.151 (0.325) Loss: 2.7137 (2.5395) Acc@1: 18.7500 (21.4500)Acc@5: 52.5000 (59.3000) + +2023-08-05 09:28:31,789 - train: [ INFO] - Train: 17 [ 0/41 (100%)] Loss: 2.339905 (2.3399) Acc@1: 31.6667 (31.6667) Acc@5: 70.8333 (70.8333) Time: 3.561s, 33.70/s (3.561s, 33.70/s) LR: 5.757e-04 +2023-08-05 09:28:58,625 - train: [ INFO] - Train: 17 [ 40/41 (100%)] Loss: 2.353529 (2.4369) Acc@1: 31.6667 (26.6667) Acc@5: 70.0000 (66.6260) Time: 0.690s, 173.86/s (0.741s, 161.86/s) LR: 5.757e-04 +2023-08-05 09:29:01,316 - train: [ INFO] - Test: [ 0/16] Time: 1.924 (1.924) Loss: 2.6192 (2.6192) Acc@1: 21.6667 (21.6667)Acc@5: 55.0000 (55.0000) + +2023-08-05 09:29:04,887 - train: [ INFO] - Test: [ 16/16] Time: 0.158 (0.323) Loss: 2.5743 (2.5420) Acc@1: 22.5000 (21.0000)Acc@5: 60.0000 (60.1500) + +2023-08-05 09:29:09,511 - train: [ INFO] - Train: 18 [ 0/41 (100%)] Loss: 2.401569 (2.4016) Acc@1: 29.1667 (29.1667) Acc@5: 68.3333 (68.3333) Time: 3.621s, 33.14/s (3.621s, 33.14/s) LR: 5.745e-04 +2023-08-05 09:29:36,328 - train: [ INFO] - Train: 18 [ 40/41 (100%)] Loss: 2.560956 (2.3846) Acc@1: 25.8333 (28.6789) Acc@5: 60.0000 (69.0650) Time: 0.698s, 171.90/s (0.742s, 161.65/s) LR: 5.745e-04 +2023-08-05 09:29:38,854 - train: [ INFO] - Test: [ 0/16] Time: 1.847 (1.847) Loss: 2.4681 (2.4681) Acc@1: 25.8333 (25.8333)Acc@5: 55.0000 (55.0000) + +2023-08-05 09:29:42,101 - train: [ INFO] - Test: [ 16/16] Time: 0.156 (0.300) Loss: 2.3522 (2.4920) Acc@1: 31.2500 (23.1500)Acc@5: 70.0000 (61.1000) + +2023-08-05 09:29:43,013 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-18.pth.tar', 23.150001029968262) + +2023-08-05 09:29:46,667 - train: [ INFO] - Train: 19 [ 0/41 (100%)] Loss: 2.309632 (2.3096) Acc@1: 35.0000 (35.0000) Acc@5: 70.0000 (70.0000) Time: 3.637s, 32.99/s (3.637s, 32.99/s) LR: 5.732e-04 +2023-08-05 09:30:14,028 - train: [ INFO] - Train: 19 [ 40/41 (100%)] Loss: 2.322537 (2.3752) Acc@1: 27.5000 (29.1667) Acc@5: 66.6667 (68.8008) Time: 0.571s, 210.16/s (0.756s, 158.73/s) LR: 5.732e-04 +2023-08-05 09:30:16,843 - train: [ INFO] - Test: [ 0/16] Time: 1.881 (1.881) Loss: 2.7939 (2.7939) Acc@1: 13.3333 (13.3333)Acc@5: 53.3333 (53.3333) + +2023-08-05 09:30:20,416 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.321) Loss: 2.6401 (2.6294) Acc@1: 15.0000 (19.9000)Acc@5: 53.7500 (57.7000) + +2023-08-05 09:30:24,945 - train: [ INFO] - Train: 20 [ 0/41 (100%)] Loss: 2.310409 (2.3104) Acc@1: 28.3333 (28.3333) Acc@5: 67.5000 (67.5000) Time: 3.637s, 33.00/s (3.637s, 33.00/s) LR: 5.718e-04 +2023-08-05 09:30:51,753 - train: [ INFO] - Train: 20 [ 40/41 (100%)] Loss: 2.459880 (2.3734) Acc@1: 21.6667 (29.2276) Acc@5: 61.6667 (68.2927) Time: 0.700s, 171.45/s (0.743s, 161.62/s) LR: 5.718e-04 +2023-08-05 09:30:54,552 - train: [ INFO] - Test: [ 0/16] Time: 1.864 (1.864) Loss: 2.5016 (2.5016) Acc@1: 22.5000 (22.5000)Acc@5: 61.6667 (61.6667) + +2023-08-05 09:30:58,154 - train: [ INFO] - Test: [ 16/16] Time: 0.157 (0.322) Loss: 2.6856 (2.5240) Acc@1: 18.7500 (23.2000)Acc@5: 51.2500 (59.6000) + +2023-08-05 09:30:59,185 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-20.pth.tar', 23.200001392364502) + +2023-08-05 09:31:02,855 - train: [ INFO] - Train: 21 [ 0/41 (100%)] Loss: 2.428365 (2.4284) Acc@1: 25.8333 (25.8333) Acc@5: 67.5000 (67.5000) Time: 3.652s, 32.86/s (3.652s, 32.86/s) LR: 5.704e-04 +2023-08-05 09:31:30,050 - train: [ INFO] - Train: 21 [ 40/41 (100%)] Loss: 2.280842 (2.3258) Acc@1: 30.0000 (31.4024) Acc@5: 67.5000 (71.1585) Time: 0.703s, 170.74/s (0.752s, 159.50/s) LR: 5.704e-04 +2023-08-05 09:31:32,767 - train: [ INFO] - Test: [ 0/16] Time: 1.833 (1.833) Loss: 2.4248 (2.4248) Acc@1: 29.1667 (29.1667)Acc@5: 57.5000 (57.5000) + +2023-08-05 09:31:36,070 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.302) Loss: 2.4454 (2.4746) Acc@1: 25.0000 (24.0500)Acc@5: 61.2500 (61.4000) + +2023-08-05 09:31:37,215 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-21.pth.tar', 24.050001277923585) + +2023-08-05 09:31:40,813 - train: [ INFO] - Train: 22 [ 0/41 (100%)] Loss: 2.411799 (2.4118) Acc@1: 28.3333 (28.3333) Acc@5: 71.6667 (71.6667) Time: 3.582s, 33.50/s (3.582s, 33.50/s) LR: 5.689e-04 +2023-08-05 09:32:07,752 - train: [ INFO] - Train: 22 [ 40/41 (100%)] Loss: 2.404542 (2.3065) Acc@1: 25.8333 (31.4024) Acc@5: 68.3333 (70.8943) Time: 0.699s, 171.72/s (0.744s, 161.21/s) LR: 5.689e-04 +2023-08-05 09:32:10,575 - train: [ INFO] - Test: [ 0/16] Time: 1.886 (1.886) Loss: 2.5523 (2.5523) Acc@1: 27.5000 (27.5000)Acc@5: 60.8333 (60.8333) + +2023-08-05 09:32:14,160 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.322) Loss: 2.6622 (2.5655) Acc@1: 20.0000 (21.9000)Acc@5: 52.5000 (58.0500) + +2023-08-05 09:32:18,738 - train: [ INFO] - Train: 23 [ 0/41 (100%)] Loss: 2.166982 (2.1670) Acc@1: 35.8333 (35.8333) Acc@5: 75.8333 (75.8333) Time: 3.631s, 33.05/s (3.631s, 33.05/s) LR: 5.673e-04 +2023-08-05 09:32:45,563 - train: [ INFO] - Train: 23 [ 40/41 (100%)] Loss: 2.276971 (2.2917) Acc@1: 33.3333 (31.4634) Acc@5: 71.6667 (71.8293) Time: 0.692s, 173.35/s (0.743s, 161.55/s) LR: 5.673e-04 +2023-08-05 09:32:48,173 - train: [ INFO] - Test: [ 0/16] Time: 1.808 (1.808) Loss: 2.6676 (2.6676) Acc@1: 15.0000 (15.0000)Acc@5: 56.6667 (56.6667) + +2023-08-05 09:32:51,761 - train: [ INFO] - Test: [ 16/16] Time: 0.152 (0.317) Loss: 2.5885 (2.6830) Acc@1: 21.2500 (16.9000)Acc@5: 58.7500 (56.8000) + +2023-08-05 09:32:55,954 - train: [ INFO] - Train: 24 [ 0/41 (100%)] Loss: 2.275894 (2.2759) Acc@1: 28.3333 (28.3333) Acc@5: 74.1667 (74.1667) Time: 3.220s, 37.27/s (3.220s, 37.27/s) LR: 5.657e-04 +2023-08-05 09:33:23,650 - train: [ INFO] - Train: 24 [ 40/41 (100%)] Loss: 2.292860 (2.2545) Acc@1: 26.6667 (32.5203) Acc@5: 75.0000 (73.3740) Time: 0.696s, 172.35/s (0.754s, 159.14/s) LR: 5.657e-04 +2023-08-05 09:33:26,300 - train: [ INFO] - Test: [ 0/16] Time: 1.766 (1.766) Loss: 2.3390 (2.3390) Acc@1: 30.0000 (30.0000)Acc@5: 67.5000 (67.5000) + +2023-08-05 09:33:29,347 - train: [ INFO] - Test: [ 16/16] Time: 0.162 (0.283) Loss: 2.7185 (2.4951) Acc@1: 15.0000 (23.3500)Acc@5: 47.5000 (60.9000) + +2023-08-05 09:33:34,028 - train: [ INFO] - Train: 25 [ 0/41 (100%)] Loss: 2.195903 (2.1959) Acc@1: 35.0000 (35.0000) Acc@5: 74.1667 (74.1667) Time: 3.670s, 32.70/s (3.670s, 32.70/s) LR: 5.640e-04 +2023-08-05 09:34:00,993 - train: [ INFO] - Train: 25 [ 40/41 (100%)] Loss: 2.129321 (2.2345) Acc@1: 39.1667 (34.0650) Acc@5: 68.3333 (73.8618) Time: 0.696s, 172.52/s (0.747s, 160.61/s) LR: 5.640e-04 +2023-08-05 09:34:03,826 - train: [ INFO] - Test: [ 0/16] Time: 1.802 (1.802) Loss: 2.5345 (2.5345) Acc@1: 24.1667 (24.1667)Acc@5: 65.8333 (65.8333) + +2023-08-05 09:34:07,414 - train: [ INFO] - Test: [ 16/16] Time: 0.159 (0.317) Loss: 2.5275 (2.5226) Acc@1: 21.2500 (22.7500)Acc@5: 57.5000 (63.0500) + +2023-08-05 09:34:11,999 - train: [ INFO] - Train: 26 [ 0/41 (100%)] Loss: 2.338959 (2.3390) Acc@1: 30.8333 (30.8333) Acc@5: 68.3333 (68.3333) Time: 3.598s, 33.35/s (3.598s, 33.35/s) LR: 5.623e-04 +2023-08-05 09:34:38,890 - train: [ INFO] - Train: 26 [ 40/41 (100%)] Loss: 2.431183 (2.2037) Acc@1: 26.6667 (35.3455) Acc@5: 67.5000 (75.6098) Time: 0.693s, 173.20/s (0.744s, 161.37/s) LR: 5.623e-04 +2023-08-05 09:34:41,563 - train: [ INFO] - Test: [ 0/16] Time: 1.883 (1.883) Loss: 2.2652 (2.2652) Acc@1: 30.8333 (30.8333)Acc@5: 65.0000 (65.0000) + +2023-08-05 09:34:45,169 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.323) Loss: 2.4352 (2.4310) Acc@1: 25.0000 (24.3000)Acc@5: 67.5000 (64.4500) + +2023-08-05 09:34:46,280 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-26.pth.tar', 24.30000141143799) + +2023-08-05 09:34:49,947 - train: [ INFO] - Train: 27 [ 0/41 (100%)] Loss: 2.144020 (2.1440) Acc@1: 36.6667 (36.6667) Acc@5: 79.1667 (79.1667) Time: 3.649s, 32.88/s (3.649s, 32.88/s) LR: 5.604e-04 +2023-08-05 09:35:17,500 - train: [ INFO] - Train: 27 [ 40/41 (100%)] Loss: 2.159696 (2.1764) Acc@1: 37.5000 (36.8089) Acc@5: 75.8333 (75.7317) Time: 0.703s, 170.65/s (0.761s, 157.69/s) LR: 5.604e-04 +2023-08-05 09:35:20,120 - train: [ INFO] - Test: [ 0/16] Time: 1.907 (1.907) Loss: 2.7417 (2.7417) Acc@1: 22.5000 (22.5000)Acc@5: 57.5000 (57.5000) + +2023-08-05 09:35:23,709 - train: [ INFO] - Test: [ 16/16] Time: 0.151 (0.323) Loss: 2.3863 (2.5472) Acc@1: 27.5000 (22.4500)Acc@5: 67.5000 (61.8000) + +2023-08-05 09:35:28,143 - train: [ INFO] - Train: 28 [ 0/41 (100%)] Loss: 2.041216 (2.0412) Acc@1: 40.8333 (40.8333) Acc@5: 80.0000 (80.0000) Time: 3.628s, 33.08/s (3.628s, 33.08/s) LR: 5.585e-04 +2023-08-05 09:35:55,129 - train: [ INFO] - Train: 28 [ 40/41 (100%)] Loss: 2.214131 (2.1476) Acc@1: 32.5000 (37.4187) Acc@5: 75.0000 (76.7073) Time: 0.705s, 170.25/s (0.747s, 160.72/s) LR: 5.585e-04 +2023-08-05 09:35:57,885 - train: [ INFO] - Test: [ 0/16] Time: 1.880 (1.880) Loss: 2.4171 (2.4171) Acc@1: 25.0000 (25.0000)Acc@5: 68.3333 (68.3333) + +2023-08-05 09:36:01,484 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.322) Loss: 2.5080 (2.4959) Acc@1: 25.0000 (23.6500)Acc@5: 67.5000 (62.2000) + +2023-08-05 09:36:05,997 - train: [ INFO] - Train: 29 [ 0/41 (100%)] Loss: 2.070531 (2.0705) Acc@1: 40.0000 (40.0000) Acc@5: 74.1667 (74.1667) Time: 3.540s, 33.90/s (3.540s, 33.90/s) LR: 5.566e-04 +2023-08-05 09:36:32,961 - train: [ INFO] - Train: 29 [ 40/41 (100%)] Loss: 2.128759 (2.1232) Acc@1: 40.0000 (37.2561) Acc@5: 73.3333 (76.9309) Time: 0.703s, 170.66/s (0.744s, 161.31/s) LR: 5.566e-04 +2023-08-05 09:36:35,639 - train: [ INFO] - Test: [ 0/16] Time: 1.841 (1.841) Loss: 2.7317 (2.7317) Acc@1: 16.6667 (16.6667)Acc@5: 56.6667 (56.6667) + +2023-08-05 09:36:38,863 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.298) Loss: 2.9415 (2.7603) Acc@1: 7.5000 (16.4500)Acc@5: 38.7500 (52.7500) + +2023-08-05 09:36:43,674 - train: [ INFO] - Train: 30 [ 0/41 (100%)] Loss: 2.059724 (2.0597) Acc@1: 40.8333 (40.8333) Acc@5: 80.8333 (80.8333) Time: 3.844s, 31.21/s (3.844s, 31.21/s) LR: 5.546e-04 +2023-08-05 09:37:10,747 - train: [ INFO] - Train: 30 [ 40/41 (100%)] Loss: 2.304222 (2.1213) Acc@1: 32.5000 (38.2114) Acc@5: 70.8333 (78.0691) Time: 0.516s, 232.39/s (0.754s, 159.14/s) LR: 5.546e-04 +2023-08-05 09:37:13,384 - train: [ INFO] - Test: [ 0/16] Time: 1.868 (1.868) Loss: 2.7634 (2.7634) Acc@1: 16.6667 (16.6667)Acc@5: 59.1667 (59.1667) + +2023-08-05 09:37:16,918 - train: [ INFO] - Test: [ 16/16] Time: 0.150 (0.318) Loss: 2.6519 (2.6551) Acc@1: 18.7500 (20.1000)Acc@5: 53.7500 (58.6500) + +2023-08-05 09:37:21,494 - train: [ INFO] - Train: 31 [ 0/41 (100%)] Loss: 2.113090 (2.1131) Acc@1: 40.8333 (40.8333) Acc@5: 78.3333 (78.3333) Time: 3.557s, 33.73/s (3.557s, 33.73/s) LR: 5.525e-04 +2023-08-05 09:37:48,510 - train: [ INFO] - Train: 31 [ 40/41 (100%)] Loss: 2.120820 (2.0820) Acc@1: 38.3333 (39.9797) Acc@5: 80.8333 (78.2114) Time: 0.698s, 172.04/s (0.746s, 160.93/s) LR: 5.525e-04 +2023-08-05 09:37:51,330 - train: [ INFO] - Test: [ 0/16] Time: 1.884 (1.884) Loss: 2.5423 (2.5423) Acc@1: 26.6667 (26.6667)Acc@5: 63.3333 (63.3333) + +2023-08-05 09:37:54,847 - train: [ INFO] - Test: [ 16/16] Time: 0.151 (0.318) Loss: 2.5458 (2.5407) Acc@1: 21.2500 (23.9500)Acc@5: 60.0000 (62.7500) + +2023-08-05 09:37:59,390 - train: [ INFO] - Train: 32 [ 0/41 (100%)] Loss: 1.953328 (1.9533) Acc@1: 46.6667 (46.6667) Acc@5: 84.1667 (84.1667) Time: 3.640s, 32.97/s (3.640s, 32.97/s) LR: 5.503e-04 +2023-08-05 09:38:26,747 - train: [ INFO] - Train: 32 [ 40/41 (100%)] Loss: 2.190851 (2.0711) Acc@1: 27.5000 (39.4512) Acc@5: 76.6667 (79.6748) Time: 0.701s, 171.16/s (0.756s, 158.74/s) LR: 5.503e-04 +2023-08-05 09:38:29,549 - train: [ INFO] - Test: [ 0/16] Time: 1.837 (1.837) Loss: 2.4027 (2.4027) Acc@1: 20.8333 (20.8333)Acc@5: 65.0000 (65.0000) + +2023-08-05 09:38:32,413 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.277) Loss: 2.6198 (2.5636) Acc@1: 21.2500 (22.5000)Acc@5: 65.0000 (62.9500) + +2023-08-05 09:38:36,866 - train: [ INFO] - Train: 33 [ 0/41 (100%)] Loss: 2.024187 (2.0242) Acc@1: 40.8333 (40.8333) Acc@5: 76.6667 (76.6667) Time: 3.516s, 34.13/s (3.516s, 34.13/s) LR: 5.481e-04 +2023-08-05 09:39:03,883 - train: [ INFO] - Train: 33 [ 40/41 (100%)] Loss: 2.144615 (2.0398) Acc@1: 35.0000 (39.7968) Acc@5: 78.3333 (80.2033) Time: 0.702s, 170.83/s (0.745s, 161.15/s) LR: 5.481e-04 +2023-08-05 09:39:06,692 - train: [ INFO] - Test: [ 0/16] Time: 1.882 (1.882) Loss: 2.4043 (2.4043) Acc@1: 25.8333 (25.8333)Acc@5: 66.6667 (66.6667) + +2023-08-05 09:39:10,256 - train: [ INFO] - Test: [ 16/16] Time: 0.163 (0.320) Loss: 2.3102 (2.4760) Acc@1: 26.2500 (25.7000)Acc@5: 66.2500 (63.3000) + +2023-08-05 09:39:11,122 - timm.utils.checkpoint_saver: [ INFO] - Current checkpoints: + ('/home/hexiang/DomainAdaptation_DVS/Results/Baseline/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/checkpoint-33.pth.tar', 25.700001182556154) + +2023-08-05 09:39:14,778 - train: [ INFO] - Train: 34 [ 0/41 (100%)] Loss: 1.940957 (1.9410) Acc@1: 44.1667 (44.1667) Acc@5: 82.5000 (82.5000) Time: 3.631s, 33.05/s (3.631s, 33.05/s) LR: 5.458e-04 +2023-08-05 09:39:41,796 - train: [ INFO] - Train: 34 [ 40/41 (100%)] Loss: 2.027025 (1.9982) Acc@1: 40.0000 (42.0732) Acc@5: 80.8333 (81.5447) Time: 0.680s, 176.52/s (0.747s, 160.54/s) LR: 5.458e-04 +2023-08-05 09:39:44,512 - train: [ INFO] - Test: [ 0/16] Time: 1.852 (1.852) Loss: 2.7553 (2.7553) Acc@1: 27.5000 (27.5000)Acc@5: 57.5000 (57.5000) + +2023-08-05 09:39:48,064 - train: [ INFO] - Test: [ 16/16] Time: 0.150 (0.318) Loss: 2.9318 (3.0241) Acc@1: 11.2500 (17.4000)Acc@5: 58.7500 (52.4000) + +2023-08-05 09:39:52,630 - train: [ INFO] - Train: 35 [ 0/41 (100%)] Loss: 1.850054 (1.8501) Acc@1: 46.6667 (46.6667) Acc@5: 85.8333 (85.8333) Time: 3.562s, 33.69/s (3.562s, 33.69/s) LR: 5.435e-04 +2023-08-05 09:40:20,404 - train: [ INFO] - Train: 35 [ 40/41 (100%)] Loss: 1.998382 (1.9765) Acc@1: 41.6667 (42.3577) Acc@5: 81.6667 (82.1342) Time: 0.550s, 218.29/s (0.764s, 157.01/s) LR: 5.435e-04 +2023-08-05 09:40:23,192 - train: [ INFO] - Test: [ 0/16] Time: 1.879 (1.879) Loss: 2.5413 (2.5413) Acc@1: 21.6667 (21.6667)Acc@5: 60.8333 (60.8333) + +2023-08-05 09:40:26,764 - train: [ INFO] - Test: [ 16/16] Time: 0.149 (0.321) Loss: 2.6530 (2.7368) Acc@1: 22.5000 (20.8500)Acc@5: 56.2500 (58.1500) + +2023-08-05 09:40:31,347 - train: [ INFO] - Train: 36 [ 0/41 (100%)] Loss: 1.831792 (1.8318) Acc@1: 45.8333 (45.8333) Acc@5: 87.5000 (87.5000) Time: 3.543s, 33.87/s (3.543s, 33.87/s) LR: 5.411e-04 +2023-08-05 09:40:57,921 - train: [ INFO] - Train: 36 [ 40/41 (100%)] Loss: 2.003798 (1.9651) Acc@1: 40.8333 (43.6992) Acc@5: 79.1667 (82.5203) Time: 0.688s, 174.53/s (0.735s, 163.37/s) LR: 5.411e-04 +2023-08-05 09:41:00,627 - train: [ INFO] - Test: [ 0/16] Time: 1.817 (1.817) Loss: 3.7963 (3.7963) Acc@1: 13.3333 (13.3333)Acc@5: 41.6667 (41.6667) + +2023-08-05 09:41:04,197 - train: [ INFO] - Test: [ 16/16] Time: 0.151 (0.317) Loss: 3.4054 (3.7606) Acc@1: 10.0000 (12.5500)Acc@5: 56.2500 (44.0000) + +2023-08-05 09:41:08,800 - train: [ INFO] - Train: 37 [ 0/41 (100%)] Loss: 1.905991 (1.9060) Acc@1: 40.8333 (40.8333) Acc@5: 88.3333 (88.3333) Time: 3.559s, 33.71/s (3.559s, 33.71/s) LR: 5.387e-04 +2023-08-05 09:41:35,649 - train: [ INFO] - Train: 37 [ 40/41 (100%)] Loss: 1.906708 (1.9215) Acc@1: 45.8333 (45.0610) Acc@5: 80.0000 (83.2927) Time: 0.701s, 171.07/s (0.742s, 161.80/s) LR: 5.387e-04 +2023-08-05 09:41:38,407 - train: [ INFO] - Test: [ 0/16] Time: 1.905 (1.905) Loss: 2.5328 (2.5328) Acc@1: 23.3333 (23.3333)Acc@5: 65.0000 (65.0000) + +2023-08-05 09:41:41,991 - train: [ INFO] - Test: [ 16/16] Time: 0.158 (0.323) Loss: 2.4053 (2.6139) Acc@1: 26.2500 (22.4500)Acc@5: 65.0000 (61.8500) + +2023-08-05 09:41:46,630 - train: [ INFO] - Train: 38 [ 0/41 (100%)] Loss: 1.953258 (1.9533) Acc@1: 41.6667 (41.6667) Acc@5: 80.8333 (80.8333) Time: 3.660s, 32.78/s (3.660s, 32.78/s) LR: 5.361e-04 +2023-08-05 09:42:14,067 - train: [ INFO] - Train: 38 [ 40/41 (100%)] Loss: 2.019400 (1.8885) Acc@1: 45.0000 (46.6463) Acc@5: 80.8333 (84.2276) Time: 0.697s, 172.27/s (0.758s, 158.22/s) LR: 5.361e-04 +2023-08-05 09:42:16,687 - train: [ INFO] - Test: [ 0/16] Time: 1.884 (1.884) Loss: 2.5731 (2.5731) Acc@1: 18.3333 (18.3333)Acc@5: 64.1667 (64.1667) + +2023-08-05 09:42:20,276 - train: [ INFO] - Test: [ 16/16] Time: 0.151 (0.322) Loss: 2.6020 (2.5964) Acc@1: 23.7500 (22.7000)Acc@5: 58.7500 (62.7000) + +2023-08-05 09:42:24,775 - train: [ INFO] - Train: 39 [ 0/41 (100%)] Loss: 1.826771 (1.8268) Acc@1: 52.5000 (52.5000) Acc@5: 85.8333 (85.8333) Time: 3.578s, 33.54/s (3.578s, 33.54/s) LR: 5.336e-04 +2023-08-05 09:42:51,407 - train: [ INFO] - Train: 39 [ 40/41 (100%)] Loss: 1.853068 (1.8640) Acc@1: 45.0000 (46.8293) Acc@5: 90.0000 (85.2236) Time: 0.700s, 171.48/s (0.737s, 162.87/s) LR: 5.336e-04 +2023-08-05 09:42:54,145 - train: [ INFO] - Test: [ 0/16] Time: 1.886 (1.886) Loss: 2.9660 (2.9660) Acc@1: 11.6667 (11.6667)Acc@5: 56.6667 (56.6667) + +2023-08-05 09:42:57,726 - train: [ INFO] - Test: [ 16/16] Time: 0.155 (0.322) Loss: 3.0557 (3.0685) Acc@1: 17.5000 (17.2500)Acc@5: 50.0000 (52.3000) + +2023-08-05 09:43:02,147 - train: [ INFO] - Train: 40 [ 0/41 (100%)] Loss: 1.735152 (1.7352) Acc@1: 53.3333 (53.3333) Acc@5: 85.0000 (85.0000) Time: 3.605s, 33.29/s (3.605s, 33.29/s) LR: 5.309e-04 +2023-08-05 09:43:28,922 - train: [ INFO] - Train: 40 [ 40/41 (100%)] Loss: 2.059881 (1.8101) Acc@1: 40.8333 (48.6585) Acc@5: 79.1667 (86.1585) Time: 0.706s, 169.89/s (0.741s, 161.96/s) LR: 5.309e-04 +2023-08-05 09:43:31,776 - train: [ INFO] - Test: [ 0/16] Time: 1.867 (1.867) Loss: 2.7131 (2.7131) Acc@1: 17.5000 (17.5000)Acc@5: 59.1667 (59.1667) + +2023-08-05 09:43:35,011 - train: [ INFO] - Test: [ 16/16] Time: 0.151 (0.300) Loss: 2.8279 (2.5776) Acc@1: 20.0000 (21.7000)Acc@5: 52.5000 (62.2000) + +2023-08-05 09:43:39,637 - train: [ INFO] - Train: 41 [ 0/41 (100%)] Loss: 1.661745 (1.6617) Acc@1: 53.3333 (53.3333) Acc@5: 85.8333 (85.8333) Time: 3.683s, 32.59/s (3.683s, 32.59/s) LR: 5.283e-04 +2023-08-05 09:44:06,958 - train: [ INFO] - Train: 41 [ 40/41 (100%)] Loss: 1.987491 (1.7963) Acc@1: 47.5000 (50.4675) Acc@5: 81.6667 (86.7480) Time: 0.500s, 239.98/s (0.756s, 158.70/s) LR: 5.283e-04 +2023-08-05 09:44:09,724 - train: [ INFO] - Test: [ 0/16] Time: 1.815 (1.815) Loss: 2.8574 (2.8574) Acc@1: 22.5000 (22.5000)Acc@5: 56.6667 (56.6667) + +2023-08-05 09:44:13,307 - train: [ INFO] - Test: [ 16/16] Time: 0.155 (0.318) Loss: 2.6436 (2.6252) Acc@1: 18.7500 (22.6000)Acc@5: 58.7500 (60.2000) + +2023-08-05 09:44:18,120 - train: [ INFO] - Train: 42 [ 0/41 (100%)] Loss: 1.783019 (1.7830) Acc@1: 53.3333 (53.3333) Acc@5: 85.8333 (85.8333) Time: 3.592s, 33.41/s (3.592s, 33.41/s) LR: 5.255e-04 +2023-08-05 09:44:45,032 - train: [ INFO] - Train: 42 [ 40/41 (100%)] Loss: 1.979280 (1.7621) Acc@1: 41.6667 (50.6301) Acc@5: 80.0000 (87.3781) Time: 0.695s, 172.69/s (0.744s, 161.30/s) LR: 5.255e-04 +2023-08-05 09:44:47,898 - train: [ INFO] - Test: [ 0/16] Time: 1.903 (1.903) Loss: 2.7170 (2.7170) Acc@1: 25.0000 (25.0000)Acc@5: 55.8333 (55.8333) + +2023-08-05 09:44:51,459 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.321) Loss: 2.4394 (2.6894) Acc@1: 23.7500 (22.5000)Acc@5: 67.5000 (59.2000) + +2023-08-05 09:44:56,093 - train: [ INFO] - Train: 43 [ 0/41 (100%)] Loss: 1.565972 (1.5660) Acc@1: 60.0000 (60.0000) Acc@5: 90.8333 (90.8333) Time: 3.533s, 33.96/s (3.533s, 33.96/s) LR: 5.227e-04 +2023-08-05 09:45:23,257 - train: [ INFO] - Train: 43 [ 40/41 (100%)] Loss: 1.795367 (1.6959) Acc@1: 49.1667 (53.8211) Acc@5: 87.5000 (88.9228) Time: 0.701s, 171.24/s (0.749s, 160.28/s) LR: 5.227e-04 +2023-08-05 09:45:26,027 - train: [ INFO] - Test: [ 0/16] Time: 1.912 (1.912) Loss: 2.7925 (2.7925) Acc@1: 23.3333 (23.3333)Acc@5: 60.8333 (60.8333) + +2023-08-05 09:45:29,022 - train: [ INFO] - Test: [ 16/16] Time: 0.144 (0.289) Loss: 2.5251 (2.7159) Acc@1: 23.7500 (23.1000)Acc@5: 68.7500 (59.3500) + +2023-08-05 09:45:33,583 - train: [ INFO] - Train: 44 [ 0/41 (100%)] Loss: 1.475354 (1.4754) Acc@1: 61.6667 (61.6667) Acc@5: 90.0000 (90.0000) Time: 3.623s, 33.12/s (3.623s, 33.12/s) LR: 5.199e-04 +2023-08-05 09:46:00,485 - train: [ INFO] - Train: 44 [ 40/41 (100%)] Loss: 1.684207 (1.6639) Acc@1: 50.0000 (54.6545) Acc@5: 86.6667 (89.4715) Time: 0.702s, 171.03/s (0.744s, 161.18/s) LR: 5.199e-04 +2023-08-05 09:46:03,321 - train: [ INFO] - Test: [ 0/16] Time: 1.851 (1.851) Loss: 3.4103 (3.4103) Acc@1: 10.8333 (10.8333)Acc@5: 50.8333 (50.8333) + +2023-08-05 09:46:06,900 - train: [ INFO] - Test: [ 16/16] Time: 0.159 (0.319) Loss: 2.9062 (3.2288) Acc@1: 25.0000 (18.3500)Acc@5: 60.0000 (55.0500) + +2023-08-05 09:46:11,509 - train: [ INFO] - Train: 45 [ 0/41 (100%)] Loss: 1.634310 (1.6343) Acc@1: 53.3333 (53.3333) Acc@5: 93.3333 (93.3333) Time: 3.564s, 33.67/s (3.564s, 33.67/s) LR: 5.169e-04 +2023-08-05 09:46:38,468 - train: [ INFO] - Train: 45 [ 40/41 (100%)] Loss: 1.735960 (1.6553) Acc@1: 45.0000 (54.7358) Acc@5: 87.5000 (90.3455) Time: 0.699s, 171.59/s (0.744s, 161.20/s) LR: 5.169e-04 +2023-08-05 09:46:41,355 - train: [ INFO] - Test: [ 0/16] Time: 1.863 (1.863) Loss: 3.2646 (3.2646) Acc@1: 13.3333 (13.3333)Acc@5: 49.1667 (49.1667) + +2023-08-05 09:46:44,937 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.320) Loss: 3.6666 (3.2197) Acc@1: 10.0000 (16.2000)Acc@5: 38.7500 (52.1000) + +2023-08-05 09:46:49,542 - train: [ INFO] - Train: 46 [ 0/41 (100%)] Loss: 1.562649 (1.5626) Acc@1: 59.1667 (59.1667) Acc@5: 91.6667 (91.6667) Time: 3.610s, 33.24/s (3.610s, 33.24/s) LR: 5.140e-04 +2023-08-05 09:47:17,336 - train: [ INFO] - Train: 46 [ 40/41 (100%)] Loss: 1.554350 (1.6069) Acc@1: 62.5000 (56.7886) Acc@5: 95.0000 (91.1382) Time: 0.620s, 193.67/s (0.766s, 156.67/s) LR: 5.140e-04 +2023-08-05 09:47:20,023 - train: [ INFO] - Test: [ 0/16] Time: 1.773 (1.773) Loss: 3.3280 (3.3280) Acc@1: 17.5000 (17.5000)Acc@5: 54.1667 (54.1667) + +2023-08-05 09:47:23,475 - train: [ INFO] - Test: [ 16/16] Time: 0.162 (0.307) Loss: 3.1649 (3.0328) Acc@1: 23.7500 (19.9000)Acc@5: 51.2500 (56.5500) + +2023-08-05 09:47:28,234 - train: [ INFO] - Train: 47 [ 0/41 (100%)] Loss: 1.536365 (1.5364) Acc@1: 57.5000 (57.5000) Acc@5: 92.5000 (92.5000) Time: 3.622s, 33.13/s (3.622s, 33.13/s) LR: 5.110e-04 +2023-08-05 09:47:54,911 - train: [ INFO] - Train: 47 [ 40/41 (100%)] Loss: 1.568279 (1.5924) Acc@1: 61.6667 (57.6016) Acc@5: 90.8333 (90.4675) Time: 0.700s, 171.54/s (0.739s, 162.39/s) LR: 5.110e-04 +2023-08-05 09:47:57,869 - train: [ INFO] - Test: [ 0/16] Time: 1.870 (1.870) Loss: 2.9075 (2.9075) Acc@1: 21.6667 (21.6667)Acc@5: 55.8333 (55.8333) + +2023-08-05 09:48:01,459 - train: [ INFO] - Test: [ 16/16] Time: 0.159 (0.321) Loss: 2.8814 (2.8954) Acc@1: 22.5000 (21.9500)Acc@5: 58.7500 (56.7500) + +2023-08-05 09:48:06,381 - train: [ INFO] - Train: 48 [ 0/41 (100%)] Loss: 1.518167 (1.5182) Acc@1: 56.6667 (56.6667) Acc@5: 93.3333 (93.3333) Time: 3.639s, 32.97/s (3.639s, 32.97/s) LR: 5.079e-04 +2023-08-05 09:48:32,924 - train: [ INFO] - Train: 48 [ 40/41 (100%)] Loss: 1.445865 (1.5120) Acc@1: 56.6667 (60.5691) Acc@5: 95.8333 (92.4187) Time: 0.706s, 170.04/s (0.736s, 163.01/s) LR: 5.079e-04 +2023-08-05 09:48:35,733 - train: [ INFO] - Test: [ 0/16] Time: 1.845 (1.845) Loss: 3.0686 (3.0686) Acc@1: 19.1667 (19.1667)Acc@5: 48.3333 (48.3333) + +2023-08-05 09:48:39,037 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.303) Loss: 2.9532 (2.7299) Acc@1: 21.2500 (23.0500)Acc@5: 61.2500 (59.3500) + +2023-08-05 09:48:43,604 - train: [ INFO] - Train: 49 [ 0/41 (100%)] Loss: 1.493690 (1.4937) Acc@1: 54.1667 (54.1667) Acc@5: 95.0000 (95.0000) Time: 3.612s, 33.22/s (3.612s, 33.22/s) LR: 5.048e-04 +2023-08-05 09:49:11,080 - train: [ INFO] - Train: 49 [ 40/41 (100%)] Loss: 1.529776 (1.4915) Acc@1: 57.5000 (61.6260) Acc@5: 91.6667 (92.3984) Time: 0.709s, 169.19/s (0.758s, 158.27/s) LR: 5.048e-04 +2023-08-05 09:49:13,899 - train: [ INFO] - Test: [ 0/16] Time: 1.975 (1.975) Loss: 3.3526 (3.3526) Acc@1: 16.6667 (16.6667)Acc@5: 47.5000 (47.5000) + +2023-08-05 09:49:17,501 - train: [ INFO] - Test: [ 16/16] Time: 0.157 (0.328) Loss: 3.1535 (3.2746) Acc@1: 20.0000 (18.0000)Acc@5: 53.7500 (51.7500) + +2023-08-05 09:49:22,215 - train: [ INFO] - Train: 50 [ 0/41 (100%)] Loss: 1.536384 (1.5364) Acc@1: 62.5000 (62.5000) Acc@5: 90.0000 (90.0000) Time: 3.555s, 33.75/s (3.555s, 33.75/s) LR: 5.016e-04 +2023-08-05 09:49:48,676 - train: [ INFO] - Train: 50 [ 40/41 (100%)] Loss: 1.395822 (1.4689) Acc@1: 67.5000 (62.9268) Acc@5: 94.1667 (93.1707) Time: 0.689s, 174.20/s (0.732s, 163.92/s) LR: 5.016e-04 +2023-08-05 09:49:51,507 - train: [ INFO] - Test: [ 0/16] Time: 1.820 (1.820) Loss: 3.4126 (3.4126) Acc@1: 15.0000 (15.0000)Acc@5: 53.3333 (53.3333) + +2023-08-05 09:49:55,089 - train: [ INFO] - Test: [ 16/16] Time: 0.153 (0.318) Loss: 3.8322 (3.6391) Acc@1: 12.5000 (16.5500)Acc@5: 46.2500 (51.3000) + +2023-08-05 09:49:59,505 - train: [ INFO] - Train: 51 [ 0/41 (100%)] Loss: 1.250773 (1.2508) Acc@1: 73.3333 (73.3333) Acc@5: 96.6667 (96.6667) Time: 3.646s, 32.91/s (3.646s, 32.91/s) LR: 4.984e-04 +2023-08-05 09:50:26,069 - train: [ INFO] - Train: 51 [ 40/41 (100%)] Loss: 1.556298 (1.4074) Acc@1: 61.6667 (64.6951) Acc@5: 91.6667 (94.4715) Time: 0.709s, 169.36/s (0.737s, 162.87/s) LR: 4.984e-04 +2023-08-05 09:50:28,894 - train: [ INFO] - Test: [ 0/16] Time: 1.884 (1.884) Loss: 3.3381 (3.3381) Acc@1: 20.8333 (20.8333)Acc@5: 53.3333 (53.3333) + +2023-08-05 09:50:31,995 - train: [ INFO] - Test: [ 16/16] Time: 0.155 (0.293) Loss: 3.6453 (3.4709) Acc@1: 22.5000 (16.5000)Acc@5: 53.7500 (53.6500) + +2023-08-05 09:50:36,574 - train: [ INFO] - Train: 52 [ 0/41 (100%)] Loss: 1.379916 (1.3799) Acc@1: 63.3333 (63.3333) Acc@5: 95.0000 (95.0000) Time: 3.602s, 33.32/s (3.602s, 33.32/s) LR: 4.951e-04 +2023-08-05 09:51:04,086 - train: [ INFO] - Train: 52 [ 40/41 (100%)] Loss: 1.324964 (1.4005) Acc@1: 64.1667 (64.8781) Acc@5: 94.1667 (93.9634) Time: 0.692s, 173.52/s (0.759s, 158.13/s) LR: 4.951e-04 +2023-08-05 09:51:06,789 - train: [ INFO] - Test: [ 0/16] Time: 1.918 (1.918) Loss: 3.1803 (3.1803) Acc@1: 18.3333 (18.3333)Acc@5: 55.8333 (55.8333) + +2023-08-05 09:51:10,370 - train: [ INFO] - Test: [ 16/16] Time: 0.158 (0.323) Loss: 3.2651 (3.4033) Acc@1: 18.7500 (16.4000)Acc@5: 62.5000 (52.1500) + +2023-08-05 09:51:14,619 - train: [ INFO] - Train: 53 [ 0/41 (100%)] Loss: 1.333554 (1.3336) Acc@1: 69.1667 (69.1667) Acc@5: 92.5000 (92.5000) Time: 3.573s, 33.59/s (3.573s, 33.59/s) LR: 4.918e-04 +2023-08-05 09:51:41,228 - train: [ INFO] - Train: 53 [ 40/41 (100%)] Loss: 1.511078 (1.3110) Acc@1: 62.5000 (68.2114) Acc@5: 90.8333 (95.5488) Time: 0.706s, 170.08/s (0.736s, 163.01/s) LR: 4.918e-04 +2023-08-05 09:51:43,926 - train: [ INFO] - Test: [ 0/16] Time: 1.841 (1.841) Loss: 3.6353 (3.6353) Acc@1: 21.6667 (21.6667)Acc@5: 55.0000 (55.0000) + +2023-08-05 09:51:47,491 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.318) Loss: 3.0729 (3.8284) Acc@1: 23.7500 (15.8500)Acc@5: 57.5000 (50.4500) + +2023-08-05 09:51:52,064 - train: [ INFO] - Train: 54 [ 0/41 (100%)] Loss: 1.240365 (1.2404) Acc@1: 71.6667 (71.6667) Acc@5: 96.6667 (96.6667) Time: 3.544s, 33.86/s (3.544s, 33.86/s) LR: 4.884e-04 +2023-08-05 09:52:18,670 - train: [ INFO] - Train: 54 [ 40/41 (100%)] Loss: 1.427319 (1.2970) Acc@1: 66.6667 (69.2480) Acc@5: 95.8333 (95.6911) Time: 0.706s, 169.96/s (0.735s, 163.19/s) LR: 4.884e-04 +2023-08-05 09:52:21,491 - train: [ INFO] - Test: [ 0/16] Time: 1.880 (1.880) Loss: 3.3351 (3.3351) Acc@1: 20.0000 (20.0000)Acc@5: 54.1667 (54.1667) + +2023-08-05 09:52:24,668 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.297) Loss: 3.1008 (3.1926) Acc@1: 18.7500 (20.0500)Acc@5: 56.2500 (56.4000) + +2023-08-05 09:52:29,536 - train: [ INFO] - Train: 55 [ 0/41 (100%)] Loss: 1.244252 (1.2443) Acc@1: 72.5000 (72.5000) Acc@5: 96.6667 (96.6667) Time: 3.709s, 32.35/s (3.709s, 32.35/s) LR: 4.850e-04 +2023-08-05 09:52:57,055 - train: [ INFO] - Train: 55 [ 40/41 (100%)] Loss: 1.455768 (1.2389) Acc@1: 61.6667 (71.2195) Acc@5: 94.1667 (96.5650) Time: 0.684s, 175.42/s (0.762s, 157.55/s) LR: 4.850e-04 +2023-08-05 09:53:00,029 - train: [ INFO] - Test: [ 0/16] Time: 1.904 (1.904) Loss: 4.0036 (4.0036) Acc@1: 16.6667 (16.6667)Acc@5: 49.1667 (49.1667) + +2023-08-05 09:53:03,541 - train: [ INFO] - Test: [ 16/16] Time: 0.148 (0.319) Loss: 3.9378 (4.0254) Acc@1: 20.0000 (15.5500)Acc@5: 47.5000 (50.2000) + +2023-08-05 09:53:08,239 - train: [ INFO] - Train: 56 [ 0/41 (100%)] Loss: 0.873718 (0.8737) Acc@1: 81.6667 (81.6667) Acc@5: 99.1667 (99.1667) Time: 3.625s, 33.10/s (3.625s, 33.10/s) LR: 4.815e-04 +2023-08-05 09:53:34,851 - train: [ INFO] - Train: 56 [ 40/41 (100%)] Loss: 1.192894 (1.1909) Acc@1: 71.6667 (73.2114) Acc@5: 96.6667 (96.5244) Time: 0.702s, 170.87/s (0.737s, 162.72/s) LR: 4.815e-04 +2023-08-05 09:53:37,730 - train: [ INFO] - Test: [ 0/16] Time: 1.837 (1.837) Loss: 3.7981 (3.7981) Acc@1: 18.3333 (18.3333)Acc@5: 55.8333 (55.8333) + +2023-08-05 09:53:41,281 - train: [ INFO] - Test: [ 16/16] Time: 0.153 (0.317) Loss: 3.2797 (3.6529) Acc@1: 16.2500 (17.0000)Acc@5: 63.7500 (54.8500) + +2023-08-05 09:53:45,667 - train: [ INFO] - Train: 57 [ 0/41 (100%)] Loss: 1.130800 (1.1308) Acc@1: 75.0000 (75.0000) Acc@5: 96.6667 (96.6667) Time: 3.316s, 36.19/s (3.316s, 36.19/s) LR: 4.780e-04 +2023-08-05 09:54:12,460 - train: [ INFO] - Train: 57 [ 40/41 (100%)] Loss: 1.067613 (1.1430) Acc@1: 76.6667 (74.8171) Acc@5: 98.3333 (96.9106) Time: 0.689s, 174.06/s (0.734s, 163.41/s) LR: 4.780e-04 +2023-08-05 09:54:15,229 - train: [ INFO] - Test: [ 0/16] Time: 1.848 (1.848) Loss: 3.2558 (3.2558) Acc@1: 16.6667 (16.6667)Acc@5: 57.5000 (57.5000) + +2023-08-05 09:54:18,314 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.290) Loss: 3.1866 (3.4887) Acc@1: 27.5000 (17.5500)Acc@5: 57.5000 (54.7000) + +2023-08-05 09:54:22,929 - train: [ INFO] - Train: 58 [ 0/41 (100%)] Loss: 1.084212 (1.0842) Acc@1: 77.5000 (77.5000) Acc@5: 98.3333 (98.3333) Time: 3.617s, 33.18/s (3.617s, 33.18/s) LR: 4.745e-04 +2023-08-05 09:54:50,006 - train: [ INFO] - Train: 58 [ 40/41 (100%)] Loss: 1.125019 (1.1300) Acc@1: 70.8333 (75.5081) Acc@5: 95.0000 (97.0529) Time: 0.311s, 386.05/s (0.749s, 160.30/s) LR: 4.745e-04 +2023-08-05 09:54:52,750 - train: [ INFO] - Test: [ 0/16] Time: 1.836 (1.836) Loss: 4.5906 (4.5906) Acc@1: 16.6667 (16.6667)Acc@5: 48.3333 (48.3333) + +2023-08-05 09:54:56,329 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.319) Loss: 4.4636 (4.6184) Acc@1: 10.0000 (13.2000)Acc@5: 48.7500 (45.5000) + +2023-08-05 09:55:01,048 - train: [ INFO] - Train: 59 [ 0/41 (100%)] Loss: 1.023688 (1.0237) Acc@1: 78.3333 (78.3333) Acc@5: 97.5000 (97.5000) Time: 3.586s, 33.46/s (3.586s, 33.46/s) LR: 4.709e-04 +2023-08-05 09:55:27,668 - train: [ INFO] - Train: 59 [ 40/41 (100%)] Loss: 1.184232 (1.0886) Acc@1: 75.0000 (76.3211) Acc@5: 98.3333 (97.8862) Time: 0.685s, 175.07/s (0.737s, 162.89/s) LR: 4.709e-04 +2023-08-05 09:55:30,692 - train: [ INFO] - Test: [ 0/16] Time: 1.872 (1.872) Loss: 4.0668 (4.0668) Acc@1: 14.1667 (14.1667)Acc@5: 46.6667 (46.6667) + +2023-08-05 09:55:34,310 - train: [ INFO] - Test: [ 16/16] Time: 0.157 (0.323) Loss: 3.3583 (3.6934) Acc@1: 22.5000 (17.9500)Acc@5: 63.7500 (54.7500) + +2023-08-05 09:55:39,143 - train: [ INFO] - Train: 60 [ 0/41 (100%)] Loss: 0.969402 (0.9694) Acc@1: 80.0000 (80.0000) Acc@5: 97.5000 (97.5000) Time: 3.597s, 33.36/s (3.597s, 33.36/s) LR: 4.672e-04 +2023-08-05 09:56:06,161 - train: [ INFO] - Train: 60 [ 40/41 (100%)] Loss: 1.046070 (1.0278) Acc@1: 77.5000 (79.1057) Acc@5: 97.5000 (97.9268) Time: 0.696s, 172.48/s (0.747s, 160.71/s) LR: 4.672e-04 +2023-08-05 09:56:08,883 - train: [ INFO] - Test: [ 0/16] Time: 1.852 (1.852) Loss: 3.8790 (3.8790) Acc@1: 15.8333 (15.8333)Acc@5: 46.6667 (46.6667) + +2023-08-05 09:56:12,250 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.307) Loss: 3.8190 (3.9997) Acc@1: 17.5000 (15.5000)Acc@5: 58.7500 (49.5500) + +2023-08-05 09:56:17,092 - train: [ INFO] - Train: 61 [ 0/41 (100%)] Loss: 0.825741 (0.8257) Acc@1: 88.3333 (88.3333) Acc@5: 99.1667 (99.1667) Time: 3.652s, 32.86/s (3.652s, 32.86/s) LR: 4.636e-04 +2023-08-05 09:56:43,581 - train: [ INFO] - Train: 61 [ 40/41 (100%)] Loss: 1.217693 (1.0168) Acc@1: 71.6667 (79.7155) Acc@5: 97.5000 (98.4350) Time: 0.699s, 171.75/s (0.735s, 163.24/s) LR: 4.636e-04 +2023-08-05 09:56:46,400 - train: [ INFO] - Test: [ 0/16] Time: 1.826 (1.826) Loss: 4.3431 (4.3431) Acc@1: 19.1667 (19.1667)Acc@5: 55.0000 (55.0000) + +2023-08-05 09:56:49,989 - train: [ INFO] - Test: [ 16/16] Time: 0.163 (0.318) Loss: 4.7778 (4.6265) Acc@1: 11.2500 (14.0500)Acc@5: 46.2500 (51.1500) + +2023-08-05 09:56:54,702 - train: [ INFO] - Train: 62 [ 0/41 (100%)] Loss: 0.959610 (0.9596) Acc@1: 82.5000 (82.5000) Acc@5: 98.3333 (98.3333) Time: 3.646s, 32.91/s (3.646s, 32.91/s) LR: 4.598e-04 +2023-08-05 09:57:21,312 - train: [ INFO] - Train: 62 [ 40/41 (100%)] Loss: 0.940598 (0.9685) Acc@1: 80.0000 (81.0772) Acc@5: 99.1667 (98.5976) Time: 0.696s, 172.54/s (0.738s, 162.62/s) LR: 4.598e-04 +2023-08-05 09:57:24,277 - train: [ INFO] - Test: [ 0/16] Time: 1.887 (1.887) Loss: 4.7288 (4.7288) Acc@1: 14.1667 (14.1667)Acc@5: 44.1667 (44.1667) + +2023-08-05 09:57:27,866 - train: [ INFO] - Test: [ 16/16] Time: 0.160 (0.322) Loss: 4.4815 (4.4188) Acc@1: 13.7500 (16.0000)Acc@5: 41.2500 (48.3500) + +2023-08-05 09:57:32,573 - train: [ INFO] - Train: 63 [ 0/41 (100%)] Loss: 0.816610 (0.8166) Acc@1: 86.6667 (86.6667) Acc@5: 99.1667 (99.1667) Time: 3.562s, 33.69/s (3.562s, 33.69/s) LR: 4.561e-04 +2023-08-05 09:57:59,739 - train: [ INFO] - Train: 63 [ 40/41 (100%)] Loss: 0.935128 (0.9228) Acc@1: 80.8333 (82.9878) Acc@5: 97.5000 (98.9634) Time: 0.710s, 168.98/s (0.749s, 160.12/s) LR: 4.561e-04 +2023-08-05 09:58:02,566 - train: [ INFO] - Test: [ 0/16] Time: 1.928 (1.928) Loss: 3.7012 (3.7012) Acc@1: 15.0000 (15.0000)Acc@5: 55.0000 (55.0000) + +2023-08-05 09:58:05,212 - train: [ INFO] - Test: [ 16/16] Time: 0.163 (0.269) Loss: 3.0473 (3.5794) Acc@1: 23.7500 (19.0500)Acc@5: 63.7500 (54.7000) + +2023-08-05 09:58:09,818 - train: [ INFO] - Train: 64 [ 0/41 (100%)] Loss: 0.769308 (0.7693) Acc@1: 83.3333 (83.3333) Acc@5: 100.0000 (100.0000) Time: 3.673s, 32.67/s (3.673s, 32.67/s) LR: 4.523e-04 +2023-08-05 09:58:36,423 - train: [ INFO] - Train: 64 [ 40/41 (100%)] Loss: 0.862467 (0.8654) Acc@1: 88.3333 (84.5529) Acc@5: 99.1667 (98.9431) Time: 0.693s, 173.16/s (0.738s, 162.50/s) LR: 4.523e-04 +2023-08-05 09:58:39,125 - train: [ INFO] - Test: [ 0/16] Time: 1.841 (1.841) Loss: 3.8223 (3.8223) Acc@1: 17.5000 (17.5000)Acc@5: 53.3333 (53.3333) + +2023-08-05 09:58:42,743 - train: [ INFO] - Test: [ 16/16] Time: 0.159 (0.321) Loss: 4.3914 (3.6971) Acc@1: 15.0000 (18.7000)Acc@5: 46.2500 (55.8500) + +2023-08-05 09:58:47,453 - train: [ INFO] - Train: 65 [ 0/41 (100%)] Loss: 0.729702 (0.7297) Acc@1: 90.0000 (90.0000) Acc@5: 100.0000 (100.0000) Time: 3.547s, 33.83/s (3.547s, 33.83/s) LR: 4.484e-04 +2023-08-05 09:59:13,936 - train: [ INFO] - Train: 65 [ 40/41 (100%)] Loss: 0.889769 (0.8402) Acc@1: 82.5000 (85.4878) Acc@5: 100.0000 (99.1870) Time: 0.714s, 168.16/s (0.732s, 163.85/s) LR: 4.484e-04 +2023-08-05 09:59:16,672 - train: [ INFO] - Test: [ 0/16] Time: 1.876 (1.876) Loss: 3.1101 (3.1101) Acc@1: 20.8333 (20.8333)Acc@5: 64.1667 (64.1667) + +2023-08-05 09:59:20,256 - train: [ INFO] - Test: [ 16/16] Time: 0.159 (0.321) Loss: 3.1391 (3.1415) Acc@1: 21.2500 (24.7500)Acc@5: 62.5000 (62.2500) + +2023-08-05 09:59:24,528 - train: [ INFO] - Train: 66 [ 0/41 (100%)] Loss: 0.835377 (0.8354) Acc@1: 89.1667 (89.1667) Acc@5: 97.5000 (97.5000) Time: 3.211s, 37.37/s (3.211s, 37.37/s) LR: 4.446e-04 +2023-08-05 09:59:52,167 - train: [ INFO] - Train: 66 [ 40/41 (100%)] Loss: 1.041363 (0.8172) Acc@1: 78.3333 (86.1789) Acc@5: 99.1667 (99.2480) Time: 0.702s, 170.87/s (0.752s, 159.49/s) LR: 4.446e-04 +2023-08-05 09:59:54,984 - train: [ INFO] - Test: [ 0/16] Time: 1.924 (1.924) Loss: 3.3062 (3.3062) Acc@1: 24.1667 (24.1667)Acc@5: 60.8333 (60.8333) + +2023-08-05 09:59:57,645 - train: [ INFO] - Test: [ 16/16] Time: 0.157 (0.270) Loss: 3.4197 (3.6017) Acc@1: 18.7500 (20.5000)Acc@5: 60.0000 (55.7000) + +2023-08-05 10:00:02,481 - train: [ INFO] - Train: 67 [ 0/41 (100%)] Loss: 0.643754 (0.6438) Acc@1: 89.1667 (89.1667) Acc@5: 100.0000 (100.0000) Time: 3.582s, 33.50/s (3.582s, 33.50/s) LR: 4.406e-04 +2023-08-05 10:00:29,089 - train: [ INFO] - Train: 67 [ 40/41 (100%)] Loss: 0.907192 (0.8082) Acc@1: 84.1667 (86.1585) Acc@5: 97.5000 (99.2886) Time: 0.700s, 171.47/s (0.736s, 162.97/s) LR: 4.406e-04 +2023-08-05 10:00:31,921 - train: [ INFO] - Test: [ 0/16] Time: 1.827 (1.827) Loss: 3.8422 (3.8422) Acc@1: 21.6667 (21.6667)Acc@5: 50.0000 (50.0000) + +2023-08-05 10:00:35,528 - train: [ INFO] - Test: [ 16/16] Time: 0.160 (0.320) Loss: 3.9391 (3.8828) Acc@1: 16.2500 (18.9500)Acc@5: 51.2500 (55.4500) + +2023-08-05 10:00:40,324 - train: [ INFO] - Train: 68 [ 0/41 (100%)] Loss: 0.542642 (0.5426) Acc@1: 94.1667 (94.1667) Acc@5: 100.0000 (100.0000) Time: 3.613s, 33.21/s (3.613s, 33.21/s) LR: 4.367e-04 +2023-08-05 10:01:06,830 - train: [ INFO] - Train: 68 [ 40/41 (100%)] Loss: 0.836921 (0.7451) Acc@1: 84.1667 (88.5569) Acc@5: 99.1667 (99.2683) Time: 0.691s, 173.71/s (0.735s, 163.36/s) LR: 4.367e-04 +2023-08-05 10:01:09,561 - train: [ INFO] - Test: [ 0/16] Time: 1.846 (1.846) Loss: 3.7140 (3.7140) Acc@1: 22.5000 (22.5000)Acc@5: 60.0000 (60.0000) + +2023-08-05 10:01:13,149 - train: [ INFO] - Test: [ 16/16] Time: 0.158 (0.320) Loss: 3.4255 (3.6702) Acc@1: 26.2500 (21.0000)Acc@5: 58.7500 (57.4000) + +2023-08-05 10:01:17,796 - train: [ INFO] - Train: 69 [ 0/41 (100%)] Loss: 0.684656 (0.6847) Acc@1: 94.1667 (94.1667) Acc@5: 100.0000 (100.0000) Time: 3.572s, 33.60/s (3.572s, 33.60/s) LR: 4.327e-04 +2023-08-05 10:01:45,740 - train: [ INFO] - Train: 69 [ 40/41 (100%)] Loss: 0.762283 (0.7177) Acc@1: 88.3333 (90.0407) Acc@5: 100.0000 (99.5732) Time: 0.698s, 171.94/s (0.769s, 156.12/s) LR: 4.327e-04 +2023-08-05 10:01:48,332 - train: [ INFO] - Test: [ 0/16] Time: 1.735 (1.735) Loss: 3.6481 (3.6481) Acc@1: 20.0000 (20.0000)Acc@5: 52.5000 (52.5000) + +2023-08-05 10:01:51,489 - train: [ INFO] - Test: [ 16/16] Time: 0.155 (0.288) Loss: 4.2223 (3.6617) Acc@1: 12.5000 (19.0000)Acc@5: 46.2500 (55.2000) + +2023-08-05 10:01:56,074 - train: [ INFO] - Train: 70 [ 0/41 (100%)] Loss: 0.690382 (0.6904) Acc@1: 89.1667 (89.1667) Acc@5: 100.0000 (100.0000) Time: 3.631s, 33.05/s (3.631s, 33.05/s) LR: 4.287e-04 +2023-08-05 10:02:22,456 - train: [ INFO] - Train: 70 [ 40/41 (100%)] Loss: 0.703697 (0.6834) Acc@1: 90.0000 (90.2439) Acc@5: 98.3333 (99.5529) Time: 0.703s, 170.77/s (0.732s, 163.94/s) LR: 4.287e-04 +2023-08-05 10:02:25,003 - train: [ INFO] - Test: [ 0/16] Time: 1.810 (1.810) Loss: 3.5623 (3.5623) Acc@1: 18.3333 (18.3333)Acc@5: 58.3333 (58.3333) + +2023-08-05 10:02:28,578 - train: [ INFO] - Test: [ 16/16] Time: 0.154 (0.317) Loss: 4.2053 (3.6638) Acc@1: 15.0000 (20.2000)Acc@5: 53.7500 (57.7500) + +2023-08-05 10:02:33,045 - train: [ INFO] - Train: 71 [ 0/41 (100%)] Loss: 0.590226 (0.5902) Acc@1: 93.3333 (93.3333) Acc@5: 99.1667 (99.1667) Time: 3.516s, 34.13/s (3.516s, 34.13/s) LR: 4.247e-04 +2023-08-05 10:02:59,570 - train: [ INFO] - Train: 71 [ 40/41 (100%)] Loss: 0.703707 (0.6749) Acc@1: 93.3333 (91.4634) Acc@5: 100.0000 (99.6545) Time: 0.699s, 171.70/s (0.733s, 163.78/s) LR: 4.247e-04 +2023-08-05 10:03:02,423 - train: [ INFO] - Test: [ 0/16] Time: 1.898 (1.898) Loss: 3.6384 (3.6384) Acc@1: 25.8333 (25.8333)Acc@5: 51.6667 (51.6667) + +2023-08-05 10:03:06,004 - train: [ INFO] - Test: [ 16/16] Time: 0.153 (0.322) Loss: 3.8427 (3.4472) Acc@1: 23.7500 (23.6000)Acc@5: 53.7500 (58.9000) + +2023-08-05 10:03:10,205 - train: [ INFO] - Train: 72 [ 0/41 (100%)] Loss: 0.539507 (0.5395) Acc@1: 94.1667 (94.1667) Acc@5: 100.0000 (100.0000) Time: 3.191s, 37.61/s (3.191s, 37.61/s) LR: 4.206e-04 +2023-08-05 10:03:38,206 - train: [ INFO] - Train: 72 [ 40/41 (100%)] Loss: 0.637609 (0.6165) Acc@1: 90.8333 (92.6626) Acc@5: 99.1667 (99.7358) Time: 0.710s, 168.99/s (0.761s, 157.74/s) LR: 4.206e-04 +2023-08-05 10:03:40,869 - train: [ INFO] - Test: [ 0/16] Time: 1.730 (1.730) Loss: 3.6799 (3.6799) Acc@1: 21.6667 (21.6667)Acc@5: 56.6667 (56.6667) + +2023-08-05 10:03:43,828 - train: [ INFO] - Test: [ 16/16] Time: 0.153 (0.276) Loss: 3.1784 (3.5928) Acc@1: 30.0000 (22.3500)Acc@5: 68.7500 (59.9500) + +2023-08-05 10:03:48,435 - train: [ INFO] - Train: 73 [ 0/41 (100%)] Loss: 0.524806 (0.5248) Acc@1: 94.1667 (94.1667) Acc@5: 100.0000 (100.0000) Time: 3.626s, 33.10/s (3.626s, 33.10/s) LR: 4.165e-04 +2023-08-05 10:04:12,454 - train: [ INFO] - Train: 73 [ 40/41 (100%)] Loss: 0.617660 (0.5822) Acc@1: 91.6667 (93.1301) Acc@5: 100.0000 (99.8374) Time: 0.311s, 385.47/s (0.674s, 177.98/s) LR: 4.165e-04 +2023-08-05 10:04:15,192 - train: [ INFO] - Test: [ 0/16] Time: 1.778 (1.778) Loss: 3.6006 (3.6006) Acc@1: 20.8333 (20.8333)Acc@5: 65.0000 (65.0000) + +2023-08-05 10:04:16,842 - train: [ INFO] - Test: [ 16/16] Time: 0.073 (0.202) Loss: 3.4311 (3.4028) Acc@1: 22.5000 (21.9500)Acc@5: 53.7500 (61.3500) + +2023-08-05 10:04:21,319 - train: [ INFO] - Train: 74 [ 0/41 (100%)] Loss: 0.542900 (0.5429) Acc@1: 93.3333 (93.3333) Acc@5: 99.1667 (99.1667) Time: 3.298s, 36.38/s (3.298s, 36.38/s) LR: 4.123e-04 +2023-08-05 10:04:33,969 - train: [ INFO] - Train: 74 [ 40/41 (100%)] Loss: 0.656475 (0.5575) Acc@1: 90.0000 (93.2724) Acc@5: 100.0000 (99.8171) Time: 0.315s, 381.10/s (0.389s, 308.51/s) LR: 4.123e-04 +2023-08-05 10:04:36,678 - train: [ INFO] - Test: [ 0/16] Time: 1.781 (1.781) Loss: 4.0965 (4.0965) Acc@1: 20.0000 (20.0000)Acc@5: 50.0000 (50.0000) + +2023-08-05 10:04:38,308 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.201) Loss: 3.8733 (3.7310) Acc@1: 25.0000 (21.4000)Acc@5: 53.7500 (58.7500) + +2023-08-05 10:04:42,746 - train: [ INFO] - Train: 75 [ 0/41 (100%)] Loss: 0.494581 (0.4946) Acc@1: 95.0000 (95.0000) Acc@5: 100.0000 (100.0000) Time: 3.324s, 36.11/s (3.324s, 36.11/s) LR: 4.082e-04 +2023-08-05 10:04:55,457 - train: [ INFO] - Train: 75 [ 40/41 (100%)] Loss: 0.493920 (0.5393) Acc@1: 99.1667 (94.2683) Acc@5: 100.0000 (99.8984) Time: 0.311s, 386.32/s (0.391s, 306.88/s) LR: 4.082e-04 +2023-08-05 10:04:58,391 - train: [ INFO] - Test: [ 0/16] Time: 1.885 (1.885) Loss: 3.8339 (3.8339) Acc@1: 24.1667 (24.1667)Acc@5: 55.0000 (55.0000) + +2023-08-05 10:05:00,030 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.207) Loss: 3.9189 (4.0040) Acc@1: 18.7500 (19.4500)Acc@5: 51.2500 (55.1500) + +2023-08-05 10:05:04,410 - train: [ INFO] - Train: 76 [ 0/41 (100%)] Loss: 0.444723 (0.4447) Acc@1: 95.0000 (95.0000) Acc@5: 100.0000 (100.0000) Time: 3.183s, 37.70/s (3.183s, 37.70/s) LR: 4.040e-04 +2023-08-05 10:05:17,011 - train: [ INFO] - Train: 76 [ 40/41 (100%)] Loss: 0.740141 (0.5397) Acc@1: 85.0000 (94.0447) Acc@5: 100.0000 (99.8374) Time: 0.319s, 376.16/s (0.385s, 311.73/s) LR: 4.040e-04 +2023-08-05 10:05:19,708 - train: [ INFO] - Test: [ 0/16] Time: 1.726 (1.726) Loss: 3.2984 (3.2984) Acc@1: 24.1667 (24.1667)Acc@5: 62.5000 (62.5000) + +2023-08-05 10:05:21,351 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.198) Loss: 3.8820 (3.7714) Acc@1: 18.7500 (20.5000)Acc@5: 55.0000 (56.3000) + +2023-08-05 10:05:25,755 - train: [ INFO] - Train: 77 [ 0/41 (100%)] Loss: 0.449075 (0.4491) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 3.194s, 37.57/s (3.194s, 37.57/s) LR: 3.998e-04 +2023-08-05 10:05:38,455 - train: [ INFO] - Train: 77 [ 40/41 (100%)] Loss: 0.560606 (0.5004) Acc@1: 94.1667 (95.1626) Acc@5: 99.1667 (99.9594) Time: 0.319s, 375.70/s (0.388s, 309.58/s) LR: 3.998e-04 +2023-08-05 10:05:41,303 - train: [ INFO] - Test: [ 0/16] Time: 1.739 (1.739) Loss: 3.7034 (3.7034) Acc@1: 17.5000 (17.5000)Acc@5: 52.5000 (52.5000) + +2023-08-05 10:05:42,930 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.198) Loss: 3.8933 (3.7280) Acc@1: 20.0000 (20.3500)Acc@5: 63.7500 (58.3000) + +2023-08-05 10:05:47,362 - train: [ INFO] - Train: 78 [ 0/41 (100%)] Loss: 0.469161 (0.4692) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.272s, 36.67/s (3.272s, 36.67/s) LR: 3.955e-04 +2023-08-05 10:06:00,003 - train: [ INFO] - Train: 78 [ 40/41 (100%)] Loss: 0.499303 (0.4863) Acc@1: 95.0000 (95.4065) Acc@5: 100.0000 (99.9187) Time: 0.319s, 376.69/s (0.388s, 309.20/s) LR: 3.955e-04 +2023-08-05 10:06:02,735 - train: [ INFO] - Test: [ 0/16] Time: 1.755 (1.755) Loss: 3.6327 (3.6327) Acc@1: 26.6667 (26.6667)Acc@5: 58.3333 (58.3333) + +2023-08-05 10:06:04,370 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.199) Loss: 3.8995 (3.7930) Acc@1: 10.0000 (18.8500)Acc@5: 55.0000 (57.2500) + +2023-08-05 10:06:08,859 - train: [ INFO] - Train: 79 [ 0/41 (100%)] Loss: 0.385228 (0.3852) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.317s, 36.18/s (3.317s, 36.18/s) LR: 3.912e-04 +2023-08-05 10:06:21,471 - train: [ INFO] - Train: 79 [ 40/41 (100%)] Loss: 0.523223 (0.4474) Acc@1: 95.0000 (96.1585) Acc@5: 100.0000 (99.8781) Time: 0.309s, 388.04/s (0.388s, 308.91/s) LR: 3.912e-04 +2023-08-05 10:06:24,347 - train: [ INFO] - Test: [ 0/16] Time: 1.867 (1.867) Loss: 4.5870 (4.5870) Acc@1: 16.6667 (16.6667)Acc@5: 47.5000 (47.5000) + +2023-08-05 10:06:25,986 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.206) Loss: 4.1077 (4.0109) Acc@1: 17.5000 (18.4500)Acc@5: 58.7500 (57.3000) + +2023-08-05 10:06:30,422 - train: [ INFO] - Train: 80 [ 0/41 (100%)] Loss: 0.443658 (0.4437) Acc@1: 95.0000 (95.0000) Acc@5: 100.0000 (100.0000) Time: 3.282s, 36.56/s (3.282s, 36.56/s) LR: 3.870e-04 +2023-08-05 10:06:43,102 - train: [ INFO] - Train: 80 [ 40/41 (100%)] Loss: 0.539227 (0.4477) Acc@1: 92.5000 (96.4634) Acc@5: 100.0000 (99.9187) Time: 0.317s, 378.87/s (0.389s, 308.24/s) LR: 3.870e-04 +2023-08-05 10:06:45,842 - train: [ INFO] - Test: [ 0/16] Time: 1.822 (1.822) Loss: 4.0529 (4.0529) Acc@1: 17.5000 (17.5000)Acc@5: 51.6667 (51.6667) + +2023-08-05 10:06:47,472 - train: [ INFO] - Test: [ 16/16] Time: 0.073 (0.203) Loss: 3.1437 (3.9342) Acc@1: 28.7500 (19.5500)Acc@5: 67.5000 (55.7500) + +2023-08-05 10:06:51,467 - train: [ INFO] - Train: 81 [ 0/41 (100%)] Loss: 0.318085 (0.3181) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.242s, 37.02/s (3.242s, 37.02/s) LR: 3.826e-04 +2023-08-05 10:07:04,053 - train: [ INFO] - Train: 81 [ 40/41 (100%)] Loss: 0.455850 (0.3887) Acc@1: 95.0000 (97.5813) Acc@5: 100.0000 (99.9187) Time: 0.318s, 377.24/s (0.386s, 310.87/s) LR: 3.826e-04 +2023-08-05 10:07:06,631 - train: [ INFO] - Test: [ 0/16] Time: 1.724 (1.724) Loss: 4.0059 (4.0059) Acc@1: 18.3333 (18.3333)Acc@5: 56.6667 (56.6667) + +2023-08-05 10:07:08,257 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.197) Loss: 4.0224 (4.0091) Acc@1: 22.5000 (20.2500)Acc@5: 53.7500 (56.6500) + +2023-08-05 10:07:12,584 - train: [ INFO] - Train: 82 [ 0/41 (100%)] Loss: 0.395580 (0.3956) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.235s, 37.10/s (3.235s, 37.10/s) LR: 3.783e-04 +2023-08-05 10:07:25,192 - train: [ INFO] - Train: 82 [ 40/41 (100%)] Loss: 0.321564 (0.3888) Acc@1: 99.1667 (97.5407) Acc@5: 100.0000 (99.9390) Time: 0.315s, 381.22/s (0.386s, 310.58/s) LR: 3.783e-04 +2023-08-05 10:07:28,228 - train: [ INFO] - Test: [ 0/16] Time: 2.070 (2.070) Loss: 3.8303 (3.8303) Acc@1: 20.8333 (20.8333)Acc@5: 53.3333 (53.3333) + +2023-08-05 10:07:29,843 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.217) Loss: 4.6342 (3.9072) Acc@1: 13.7500 (21.3000)Acc@5: 42.5000 (56.3500) + +2023-08-05 10:07:34,025 - train: [ INFO] - Train: 83 [ 0/41 (100%)] Loss: 0.308632 (0.3086) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.238s, 37.07/s (3.238s, 37.07/s) LR: 3.740e-04 +2023-08-05 10:07:46,662 - train: [ INFO] - Train: 83 [ 40/41 (100%)] Loss: 0.411965 (0.3695) Acc@1: 98.3333 (98.0081) Acc@5: 100.0000 (99.9797) Time: 0.320s, 375.51/s (0.387s, 309.96/s) LR: 3.740e-04 +2023-08-05 10:07:49,287 - train: [ INFO] - Test: [ 0/16] Time: 1.766 (1.766) Loss: 3.9492 (3.9492) Acc@1: 20.0000 (20.0000)Acc@5: 52.5000 (52.5000) + +2023-08-05 10:07:50,939 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.201) Loss: 4.2020 (4.0973) Acc@1: 21.2500 (21.1000)Acc@5: 55.0000 (55.5500) + +2023-08-05 10:07:55,304 - train: [ INFO] - Train: 84 [ 0/41 (100%)] Loss: 0.359941 (0.3599) Acc@1: 96.6667 (96.6667) Acc@5: 100.0000 (100.0000) Time: 3.262s, 36.79/s (3.262s, 36.79/s) LR: 3.696e-04 +2023-08-05 10:08:07,949 - train: [ INFO] - Train: 84 [ 40/41 (100%)] Loss: 0.369069 (0.3661) Acc@1: 99.1667 (97.9675) Acc@5: 100.0000 (100.0000) Time: 0.312s, 384.23/s (0.388s, 309.33/s) LR: 3.696e-04 +2023-08-05 10:08:10,621 - train: [ INFO] - Test: [ 0/16] Time: 1.730 (1.730) Loss: 3.3456 (3.3456) Acc@1: 25.0000 (25.0000)Acc@5: 65.0000 (65.0000) + +2023-08-05 10:08:12,242 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.197) Loss: 3.5524 (3.4383) Acc@1: 32.5000 (24.9500)Acc@5: 60.0000 (61.5500) + +2023-08-05 10:08:16,552 - train: [ INFO] - Train: 85 [ 0/41 (100%)] Loss: 0.318614 (0.3186) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.233s, 37.12/s (3.233s, 37.12/s) LR: 3.652e-04 +2023-08-05 10:08:29,214 - train: [ INFO] - Train: 85 [ 40/41 (100%)] Loss: 0.329593 (0.3512) Acc@1: 98.3333 (98.0488) Acc@5: 100.0000 (99.9797) Time: 0.318s, 377.34/s (0.388s, 309.57/s) LR: 3.652e-04 +2023-08-05 10:08:31,759 - train: [ INFO] - Test: [ 0/16] Time: 1.797 (1.797) Loss: 3.8850 (3.8850) Acc@1: 19.1667 (19.1667)Acc@5: 55.0000 (55.0000) + +2023-08-05 10:08:33,410 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.203) Loss: 3.8837 (4.0752) Acc@1: 15.0000 (19.7000)Acc@5: 56.2500 (54.0500) + +2023-08-05 10:08:37,934 - train: [ INFO] - Train: 86 [ 0/41 (100%)] Loss: 0.271209 (0.2712) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.315s, 36.20/s (3.315s, 36.20/s) LR: 3.608e-04 +2023-08-05 10:08:50,535 - train: [ INFO] - Train: 86 [ 40/41 (100%)] Loss: 0.297195 (0.3475) Acc@1: 98.3333 (97.9472) Acc@5: 100.0000 (99.9594) Time: 0.319s, 376.68/s (0.388s, 309.16/s) LR: 3.608e-04 +2023-08-05 10:08:53,398 - train: [ INFO] - Test: [ 0/16] Time: 1.766 (1.766) Loss: 4.1942 (4.1942) Acc@1: 18.3333 (18.3333)Acc@5: 50.0000 (50.0000) + +2023-08-05 10:08:55,030 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.200) Loss: 4.3364 (4.1769) Acc@1: 20.0000 (18.6000)Acc@5: 53.7500 (54.7000) + +2023-08-05 10:08:59,440 - train: [ INFO] - Train: 87 [ 0/41 (100%)] Loss: 0.325714 (0.3257) Acc@1: 97.5000 (97.5000) Acc@5: 100.0000 (100.0000) Time: 3.288s, 36.49/s (3.288s, 36.49/s) LR: 3.564e-04 +2023-08-05 10:09:12,088 - train: [ INFO] - Train: 87 [ 40/41 (100%)] Loss: 0.347596 (0.3310) Acc@1: 99.1667 (98.1911) Acc@5: 100.0000 (99.9797) Time: 0.310s, 387.71/s (0.389s, 308.78/s) LR: 3.564e-04 +2023-08-05 10:09:14,747 - train: [ INFO] - Test: [ 0/16] Time: 1.776 (1.776) Loss: 4.4393 (4.4393) Acc@1: 20.0000 (20.0000)Acc@5: 49.1667 (49.1667) + +2023-08-05 10:09:16,404 - train: [ INFO] - Test: [ 16/16] Time: 0.067 (0.202) Loss: 4.9326 (4.3649) Acc@1: 15.0000 (18.2000)Acc@5: 45.0000 (53.1500) + +2023-08-05 10:09:20,954 - train: [ INFO] - Train: 88 [ 0/41 (100%)] Loss: 0.313997 (0.3140) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.326s, 36.08/s (3.326s, 36.08/s) LR: 3.519e-04 +2023-08-05 10:09:33,575 - train: [ INFO] - Train: 88 [ 40/41 (100%)] Loss: 0.325234 (0.3127) Acc@1: 95.8333 (98.3943) Acc@5: 100.0000 (99.9797) Time: 0.318s, 377.38/s (0.389s, 308.56/s) LR: 3.519e-04 +2023-08-05 10:09:36,377 - train: [ INFO] - Test: [ 0/16] Time: 1.768 (1.768) Loss: 4.7097 (4.7097) Acc@1: 15.8333 (15.8333)Acc@5: 55.8333 (55.8333) + +2023-08-05 10:09:38,028 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.201) Loss: 4.3006 (4.3050) Acc@1: 17.5000 (19.3500)Acc@5: 58.7500 (57.5000) + +2023-08-05 10:09:42,292 - train: [ INFO] - Train: 89 [ 0/41 (100%)] Loss: 0.261664 (0.2617) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.300s, 36.36/s (3.300s, 36.36/s) LR: 3.475e-04 +2023-08-05 10:09:54,953 - train: [ INFO] - Train: 89 [ 40/41 (100%)] Loss: 0.305201 (0.3147) Acc@1: 100.0000 (98.3943) Acc@5: 100.0000 (99.9797) Time: 0.312s, 384.41/s (0.389s, 308.27/s) LR: 3.475e-04 +2023-08-05 10:09:57,809 - train: [ INFO] - Test: [ 0/16] Time: 1.784 (1.784) Loss: 4.0032 (4.0032) Acc@1: 24.1667 (24.1667)Acc@5: 57.5000 (57.5000) + +2023-08-05 10:09:59,431 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.200) Loss: 3.6173 (4.0448) Acc@1: 23.7500 (20.0000)Acc@5: 60.0000 (58.1500) + +2023-08-05 10:10:03,717 - train: [ INFO] - Train: 90 [ 0/41 (100%)] Loss: 0.277663 (0.2777) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.275s, 36.64/s (3.275s, 36.64/s) LR: 3.430e-04 +2023-08-05 10:10:16,393 - train: [ INFO] - Train: 90 [ 40/41 (100%)] Loss: 0.410845 (0.3058) Acc@1: 95.8333 (98.6789) Acc@5: 99.1667 (99.9594) Time: 0.318s, 377.54/s (0.389s, 308.46/s) LR: 3.430e-04 +2023-08-05 10:10:19,093 - train: [ INFO] - Test: [ 0/16] Time: 1.724 (1.724) Loss: 3.5893 (3.5893) Acc@1: 17.5000 (17.5000)Acc@5: 60.8333 (60.8333) + +2023-08-05 10:10:20,724 - train: [ INFO] - Test: [ 16/16] Time: 0.073 (0.197) Loss: 3.7495 (3.8631) Acc@1: 26.2500 (20.2000)Acc@5: 55.0000 (57.6000) + +2023-08-05 10:10:25,014 - train: [ INFO] - Train: 91 [ 0/41 (100%)] Loss: 0.251815 (0.2518) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.230s, 37.15/s (3.230s, 37.15/s) LR: 3.385e-04 +2023-08-05 10:10:37,605 - train: [ INFO] - Train: 91 [ 40/41 (100%)] Loss: 0.313388 (0.2909) Acc@1: 98.3333 (98.8211) Acc@5: 100.0000 (99.9797) Time: 0.313s, 383.17/s (0.386s, 311.00/s) LR: 3.385e-04 +2023-08-05 10:10:40,279 - train: [ INFO] - Test: [ 0/16] Time: 1.717 (1.717) Loss: 3.3686 (3.3686) Acc@1: 23.3333 (23.3333)Acc@5: 70.0000 (70.0000) + +2023-08-05 10:10:41,910 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.197) Loss: 4.5169 (4.0749) Acc@1: 17.5000 (18.8000)Acc@5: 51.2500 (55.9000) + +2023-08-05 10:10:46,337 - train: [ INFO] - Train: 92 [ 0/41 (100%)] Loss: 0.234584 (0.2346) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.264s, 36.77/s (3.264s, 36.77/s) LR: 3.341e-04 +2023-08-05 10:10:59,018 - train: [ INFO] - Train: 92 [ 40/41 (100%)] Loss: 0.322864 (0.2778) Acc@1: 98.3333 (98.5569) Acc@5: 100.0000 (99.9797) Time: 0.316s, 380.00/s (0.389s, 308.60/s) LR: 3.341e-04 +2023-08-05 10:11:01,708 - train: [ INFO] - Test: [ 0/16] Time: 1.817 (1.817) Loss: 3.7092 (3.7092) Acc@1: 22.5000 (22.5000)Acc@5: 57.5000 (57.5000) + +2023-08-05 10:11:03,336 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.203) Loss: 3.8654 (3.7541) Acc@1: 27.5000 (22.7000)Acc@5: 55.0000 (57.9000) + +2023-08-05 10:11:07,812 - train: [ INFO] - Train: 93 [ 0/41 (100%)] Loss: 0.201478 (0.2015) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.254s, 36.88/s (3.254s, 36.88/s) LR: 3.296e-04 +2023-08-05 10:11:20,461 - train: [ INFO] - Train: 93 [ 40/41 (100%)] Loss: 0.308425 (0.2671) Acc@1: 100.0000 (99.0447) Acc@5: 100.0000 (100.0000) Time: 0.319s, 376.10/s (0.388s, 309.41/s) LR: 3.296e-04 +2023-08-05 10:11:23,192 - train: [ INFO] - Test: [ 0/16] Time: 1.738 (1.738) Loss: 4.6009 (4.6009) Acc@1: 18.3333 (18.3333)Acc@5: 49.1667 (49.1667) + +2023-08-05 10:11:24,822 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.198) Loss: 4.1266 (4.2385) Acc@1: 21.2500 (20.7000)Acc@5: 60.0000 (56.2000) + +2023-08-05 10:11:28,940 - train: [ INFO] - Train: 94 [ 0/41 (100%)] Loss: 0.214730 (0.2147) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.338s, 35.95/s (3.338s, 35.95/s) LR: 3.251e-04 +2023-08-05 10:11:41,656 - train: [ INFO] - Train: 94 [ 40/41 (100%)] Loss: 0.267548 (0.2583) Acc@1: 99.1667 (98.8211) Acc@5: 100.0000 (99.9797) Time: 0.312s, 384.48/s (0.392s, 306.50/s) LR: 3.251e-04 +2023-08-05 10:11:44,416 - train: [ INFO] - Test: [ 0/16] Time: 1.730 (1.730) Loss: 3.5616 (3.5616) Acc@1: 25.0000 (25.0000)Acc@5: 70.8333 (70.8333) + +2023-08-05 10:11:46,067 - train: [ INFO] - Test: [ 16/16] Time: 0.072 (0.199) Loss: 4.8391 (3.8778) Acc@1: 15.0000 (22.1000)Acc@5: 45.0000 (59.6000) + +2023-08-05 10:11:50,340 - train: [ INFO] - Train: 95 [ 0/41 (100%)] Loss: 0.237662 (0.2377) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.262s, 36.79/s (3.262s, 36.79/s) LR: 3.206e-04 +2023-08-05 10:12:02,986 - train: [ INFO] - Train: 95 [ 40/41 (100%)] Loss: 0.227099 (0.2439) Acc@1: 99.1667 (99.4309) Acc@5: 100.0000 (100.0000) Time: 0.315s, 381.27/s (0.388s, 309.30/s) LR: 3.206e-04 +2023-08-05 10:12:05,785 - train: [ INFO] - Test: [ 0/16] Time: 1.777 (1.777) Loss: 4.1187 (4.1187) Acc@1: 19.1667 (19.1667)Acc@5: 53.3333 (53.3333) + +2023-08-05 10:12:07,407 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.200) Loss: 4.4504 (3.9367) Acc@1: 15.0000 (21.5500)Acc@5: 53.7500 (57.2500) + +2023-08-05 10:12:11,871 - train: [ INFO] - Train: 96 [ 0/41 (100%)] Loss: 0.221333 (0.2213) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.302s, 36.34/s (3.302s, 36.34/s) LR: 3.161e-04 +2023-08-05 10:12:24,476 - train: [ INFO] - Train: 96 [ 40/41 (100%)] Loss: 0.246134 (0.2345) Acc@1: 99.1667 (99.2683) Acc@5: 100.0000 (99.9797) Time: 0.314s, 381.83/s (0.388s, 309.32/s) LR: 3.161e-04 +2023-08-05 10:12:27,281 - train: [ INFO] - Test: [ 0/16] Time: 1.751 (1.751) Loss: 4.2179 (4.2179) Acc@1: 27.5000 (27.5000)Acc@5: 57.5000 (57.5000) + +2023-08-05 10:12:28,926 - train: [ INFO] - Test: [ 16/16] Time: 0.072 (0.200) Loss: 3.5491 (3.9777) Acc@1: 30.0000 (23.7000)Acc@5: 62.5000 (58.2500) + +2023-08-05 10:12:33,352 - train: [ INFO] - Train: 97 [ 0/41 (100%)] Loss: 0.268792 (0.2688) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 3.300s, 36.36/s (3.300s, 36.36/s) LR: 3.115e-04 +2023-08-05 10:12:46,000 - train: [ INFO] - Train: 97 [ 40/41 (100%)] Loss: 0.245543 (0.2379) Acc@1: 99.1667 (99.1870) Acc@5: 100.0000 (100.0000) Time: 0.319s, 376.72/s (0.389s, 308.51/s) LR: 3.115e-04 +2023-08-05 10:12:48,725 - train: [ INFO] - Test: [ 0/16] Time: 1.771 (1.771) Loss: 4.2594 (4.2594) Acc@1: 16.6667 (16.6667)Acc@5: 52.5000 (52.5000) + +2023-08-05 10:12:50,371 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.201) Loss: 4.1174 (4.1919) Acc@1: 16.2500 (20.8000)Acc@5: 61.2500 (56.7000) + +2023-08-05 10:12:54,616 - train: [ INFO] - Train: 98 [ 0/41 (100%)] Loss: 0.236169 (0.2362) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.290s, 36.47/s (3.290s, 36.47/s) LR: 3.070e-04 +2023-08-05 10:13:07,237 - train: [ INFO] - Train: 98 [ 40/41 (100%)] Loss: 0.238119 (0.2267) Acc@1: 98.3333 (99.1057) Acc@5: 100.0000 (100.0000) Time: 0.314s, 382.61/s (0.388s, 309.26/s) LR: 3.070e-04 +2023-08-05 10:13:09,919 - train: [ INFO] - Test: [ 0/16] Time: 1.754 (1.754) Loss: 4.4199 (4.4199) Acc@1: 15.0000 (15.0000)Acc@5: 54.1667 (54.1667) + +2023-08-05 10:13:11,569 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.200) Loss: 3.6957 (3.9823) Acc@1: 25.0000 (21.5000)Acc@5: 61.2500 (58.4000) + +2023-08-05 10:13:15,697 - train: [ INFO] - Train: 99 [ 0/41 (100%)] Loss: 0.159716 (0.1597) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.209s, 37.40/s (3.209s, 37.40/s) LR: 3.025e-04 +2023-08-05 10:13:28,368 - train: [ INFO] - Train: 99 [ 40/41 (100%)] Loss: 0.253266 (0.2221) Acc@1: 100.0000 (99.3293) Acc@5: 100.0000 (100.0000) Time: 0.319s, 376.43/s (0.387s, 309.86/s) LR: 3.025e-04 +2023-08-05 10:13:31,429 - train: [ INFO] - Test: [ 0/16] Time: 1.756 (1.756) Loss: 4.9494 (4.9494) Acc@1: 15.8333 (15.8333)Acc@5: 56.6667 (56.6667) + +2023-08-05 10:13:33,040 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.198) Loss: 5.0232 (4.5459) Acc@1: 12.5000 (17.4500)Acc@5: 46.2500 (54.6500) + +2023-08-05 10:13:37,461 - train: [ INFO] - Train: 100 [ 0/41 (100%)] Loss: 0.239816 (0.2398) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.232s, 37.13/s (3.232s, 37.13/s) LR: 2.980e-04 +2023-08-05 10:13:50,102 - train: [ INFO] - Train: 100 [ 40/41 (100%)] Loss: 0.196363 (0.2146) Acc@1: 100.0000 (99.4106) Acc@5: 100.0000 (100.0000) Time: 0.315s, 381.31/s (0.387s, 310.00/s) LR: 2.980e-04 +2023-08-05 10:13:52,809 - train: [ INFO] - Test: [ 0/16] Time: 1.777 (1.777) Loss: 4.1884 (4.1884) Acc@1: 20.0000 (20.0000)Acc@5: 55.8333 (55.8333) + +2023-08-05 10:13:54,429 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.200) Loss: 4.0303 (3.8721) Acc@1: 22.5000 (22.6000)Acc@5: 60.0000 (59.2500) + +2023-08-05 10:13:58,867 - train: [ INFO] - Train: 101 [ 0/41 (100%)] Loss: 0.226373 (0.2264) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.335s, 35.98/s (3.335s, 35.98/s) LR: 2.934e-04 +2023-08-05 10:14:11,437 - train: [ INFO] - Train: 101 [ 40/41 (100%)] Loss: 0.256181 (0.2105) Acc@1: 99.1667 (99.4106) Acc@5: 100.0000 (99.9594) Time: 0.312s, 385.18/s (0.388s, 309.37/s) LR: 2.934e-04 +2023-08-05 10:14:14,062 - train: [ INFO] - Test: [ 0/16] Time: 1.762 (1.762) Loss: 4.6590 (4.6590) Acc@1: 15.8333 (15.8333)Acc@5: 55.0000 (55.0000) + +2023-08-05 10:14:15,678 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.199) Loss: 4.4835 (4.6784) Acc@1: 18.7500 (18.2500)Acc@5: 56.2500 (53.3500) + +2023-08-05 10:14:20,175 - train: [ INFO] - Train: 102 [ 0/41 (100%)] Loss: 0.179483 (0.1795) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.262s, 36.79/s (3.262s, 36.79/s) LR: 2.889e-04 +2023-08-05 10:14:32,830 - train: [ INFO] - Train: 102 [ 40/41 (100%)] Loss: 0.261790 (0.2104) Acc@1: 100.0000 (99.4106) Acc@5: 100.0000 (100.0000) Time: 0.315s, 380.67/s (0.388s, 309.12/s) LR: 2.889e-04 +2023-08-05 10:14:35,471 - train: [ INFO] - Test: [ 0/16] Time: 1.710 (1.710) Loss: 3.9212 (3.9212) Acc@1: 22.5000 (22.5000)Acc@5: 55.8333 (55.8333) + +2023-08-05 10:14:37,100 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.196) Loss: 3.7791 (4.2089) Acc@1: 25.0000 (21.4000)Acc@5: 61.2500 (56.8500) + +2023-08-05 10:14:41,574 - train: [ INFO] - Train: 103 [ 0/41 (100%)] Loss: 0.209580 (0.2096) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.211s, 37.37/s (3.211s, 37.37/s) LR: 2.844e-04 +2023-08-05 10:14:54,128 - train: [ INFO] - Train: 103 [ 40/41 (100%)] Loss: 0.176820 (0.1938) Acc@1: 99.1667 (99.3293) Acc@5: 100.0000 (100.0000) Time: 0.319s, 375.64/s (0.384s, 312.11/s) LR: 2.844e-04 +2023-08-05 10:14:56,824 - train: [ INFO] - Test: [ 0/16] Time: 1.714 (1.714) Loss: 3.9841 (3.9841) Acc@1: 22.5000 (22.5000)Acc@5: 61.6667 (61.6667) + +2023-08-05 10:14:58,485 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.198) Loss: 3.8940 (3.9023) Acc@1: 28.7500 (23.9000)Acc@5: 58.7500 (59.5500) + +2023-08-05 10:15:02,781 - train: [ INFO] - Train: 104 [ 0/41 (100%)] Loss: 0.166669 (0.1667) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.244s, 36.99/s (3.244s, 36.99/s) LR: 2.799e-04 +2023-08-05 10:15:15,442 - train: [ INFO] - Train: 104 [ 40/41 (100%)] Loss: 0.235068 (0.1935) Acc@1: 100.0000 (99.5325) Acc@5: 100.0000 (100.0000) Time: 0.314s, 381.71/s (0.388s, 309.36/s) LR: 2.799e-04 +2023-08-05 10:15:18,138 - train: [ INFO] - Test: [ 0/16] Time: 1.746 (1.746) Loss: 4.8624 (4.8624) Acc@1: 20.8333 (20.8333)Acc@5: 46.6667 (46.6667) + +2023-08-05 10:15:19,754 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.198) Loss: 3.8910 (4.4638) Acc@1: 22.5000 (20.2000)Acc@5: 63.7500 (54.3500) + +2023-08-05 10:15:24,190 - train: [ INFO] - Train: 105 [ 0/41 (100%)] Loss: 0.160563 (0.1606) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.295s, 36.42/s (3.295s, 36.42/s) LR: 2.754e-04 +2023-08-05 10:15:36,808 - train: [ INFO] - Train: 105 [ 40/41 (100%)] Loss: 0.184966 (0.1808) Acc@1: 100.0000 (99.6342) Acc@5: 100.0000 (100.0000) Time: 0.313s, 383.33/s (0.388s, 309.20/s) LR: 2.754e-04 +2023-08-05 10:15:39,697 - train: [ INFO] - Test: [ 0/16] Time: 1.741 (1.741) Loss: 3.6961 (3.6961) Acc@1: 28.3333 (28.3333)Acc@5: 60.8333 (60.8333) + +2023-08-05 10:15:41,316 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.198) Loss: 4.2540 (4.0590) Acc@1: 17.5000 (22.2000)Acc@5: 58.7500 (58.0000) + +2023-08-05 10:15:45,495 - train: [ INFO] - Train: 106 [ 0/41 (100%)] Loss: 0.136596 (0.1366) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.334s, 36.00/s (3.334s, 36.00/s) LR: 2.709e-04 +2023-08-05 10:15:58,127 - train: [ INFO] - Train: 106 [ 40/41 (100%)] Loss: 0.210640 (0.1739) Acc@1: 98.3333 (99.6545) Acc@5: 100.0000 (100.0000) Time: 0.320s, 374.67/s (0.389s, 308.19/s) LR: 2.709e-04 +2023-08-05 10:16:00,764 - train: [ INFO] - Test: [ 0/16] Time: 1.740 (1.740) Loss: 4.3484 (4.3484) Acc@1: 19.1667 (19.1667)Acc@5: 53.3333 (53.3333) + +2023-08-05 10:16:02,378 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.197) Loss: 4.6495 (4.3361) Acc@1: 17.5000 (21.7500)Acc@5: 58.7500 (56.4500) + +2023-08-05 10:16:06,638 - train: [ INFO] - Train: 107 [ 0/41 (100%)] Loss: 0.195862 (0.1959) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.290s, 36.48/s (3.290s, 36.48/s) LR: 2.664e-04 +2023-08-05 10:16:19,249 - train: [ INFO] - Train: 107 [ 40/41 (100%)] Loss: 0.233878 (0.1762) Acc@1: 99.1667 (99.6342) Acc@5: 100.0000 (100.0000) Time: 0.316s, 380.25/s (0.388s, 309.44/s) LR: 2.664e-04 +2023-08-05 10:16:22,006 - train: [ INFO] - Test: [ 0/16] Time: 1.784 (1.784) Loss: 4.1810 (4.1810) Acc@1: 25.0000 (25.0000)Acc@5: 59.1667 (59.1667) + +2023-08-05 10:16:23,635 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.201) Loss: 4.2411 (4.3374) Acc@1: 20.0000 (20.6500)Acc@5: 47.5000 (56.5000) + +2023-08-05 10:16:28,197 - train: [ INFO] - Train: 108 [ 0/41 (100%)] Loss: 0.121220 (0.1212) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.377s, 35.53/s (3.377s, 35.53/s) LR: 2.619e-04 +2023-08-05 10:16:40,843 - train: [ INFO] - Train: 108 [ 40/41 (100%)] Loss: 0.185600 (0.1678) Acc@1: 99.1667 (99.7358) Acc@5: 100.0000 (100.0000) Time: 0.319s, 375.91/s (0.391s, 307.07/s) LR: 2.619e-04 +2023-08-05 10:16:43,407 - train: [ INFO] - Test: [ 0/16] Time: 1.785 (1.785) Loss: 4.3138 (4.3138) Acc@1: 21.6667 (21.6667)Acc@5: 63.3333 (63.3333) + +2023-08-05 10:16:45,066 - train: [ INFO] - Test: [ 16/16] Time: 0.072 (0.203) Loss: 4.7378 (4.6341) Acc@1: 18.7500 (17.8500)Acc@5: 53.7500 (55.7500) + +2023-08-05 10:16:49,608 - train: [ INFO] - Train: 109 [ 0/41 (100%)] Loss: 0.159954 (0.1600) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.504s, 34.25/s (3.504s, 34.25/s) LR: 2.574e-04 +2023-08-05 10:17:02,315 - train: [ INFO] - Train: 109 [ 40/41 (100%)] Loss: 0.200312 (0.1623) Acc@1: 98.3333 (99.6138) Acc@5: 100.0000 (100.0000) Time: 0.319s, 375.69/s (0.395s, 303.55/s) LR: 2.574e-04 +2023-08-05 10:17:05,147 - train: [ INFO] - Test: [ 0/16] Time: 1.876 (1.876) Loss: 4.3549 (4.3549) Acc@1: 18.3333 (18.3333)Acc@5: 55.8333 (55.8333) + +2023-08-05 10:17:06,757 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.205) Loss: 4.1929 (4.1544) Acc@1: 22.5000 (21.9500)Acc@5: 60.0000 (58.4000) + +2023-08-05 10:17:10,949 - train: [ INFO] - Train: 110 [ 0/41 (100%)] Loss: 0.167892 (0.1679) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.258s, 36.83/s (3.258s, 36.83/s) LR: 2.529e-04 +2023-08-05 10:17:23,581 - train: [ INFO] - Train: 110 [ 40/41 (100%)] Loss: 0.135049 (0.1672) Acc@1: 100.0000 (99.6138) Acc@5: 100.0000 (100.0000) Time: 0.315s, 380.83/s (0.388s, 309.65/s) LR: 2.529e-04 +2023-08-05 10:17:26,375 - train: [ INFO] - Test: [ 0/16] Time: 1.715 (1.715) Loss: 4.0492 (4.0492) Acc@1: 23.3333 (23.3333)Acc@5: 63.3333 (63.3333) + +2023-08-05 10:17:28,002 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.197) Loss: 3.7616 (4.5490) Acc@1: 30.0000 (19.5500)Acc@5: 62.5000 (55.2000) + +2023-08-05 10:17:32,418 - train: [ INFO] - Train: 111 [ 0/41 (100%)] Loss: 0.171208 (0.1712) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.241s, 37.02/s (3.241s, 37.02/s) LR: 2.485e-04 +2023-08-05 10:17:45,041 - train: [ INFO] - Train: 111 [ 40/41 (100%)] Loss: 0.132888 (0.1612) Acc@1: 100.0000 (99.6748) Acc@5: 100.0000 (100.0000) Time: 0.320s, 374.52/s (0.387s, 310.16/s) LR: 2.485e-04 +2023-08-05 10:17:47,766 - train: [ INFO] - Test: [ 0/16] Time: 1.770 (1.770) Loss: 3.9521 (3.9521) Acc@1: 24.1667 (24.1667)Acc@5: 64.1667 (64.1667) + +2023-08-05 10:17:49,370 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.198) Loss: 4.2961 (4.2138) Acc@1: 12.5000 (21.6000)Acc@5: 57.5000 (56.4000) + +2023-08-05 10:17:53,802 - train: [ INFO] - Train: 112 [ 0/41 (100%)] Loss: 0.126522 (0.1265) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.299s, 36.37/s (3.299s, 36.37/s) LR: 2.440e-04 +2023-08-05 10:18:06,388 - train: [ INFO] - Train: 112 [ 40/41 (100%)] Loss: 0.127506 (0.1604) Acc@1: 100.0000 (99.6342) Acc@5: 100.0000 (100.0000) Time: 0.315s, 380.60/s (0.387s, 309.75/s) LR: 2.440e-04 +2023-08-05 10:18:09,271 - train: [ INFO] - Test: [ 0/16] Time: 1.918 (1.918) Loss: 5.7377 (5.7377) Acc@1: 14.1667 (14.1667)Acc@5: 45.8333 (45.8333) + +2023-08-05 10:18:10,917 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.210) Loss: 5.3095 (5.2938) Acc@1: 20.0000 (14.8500)Acc@5: 50.0000 (50.3500) + +2023-08-05 10:18:15,210 - train: [ INFO] - Train: 113 [ 0/41 (100%)] Loss: 0.120244 (0.1202) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.315s, 36.20/s (3.315s, 36.20/s) LR: 2.396e-04 +2023-08-05 10:18:27,825 - train: [ INFO] - Train: 113 [ 40/41 (100%)] Loss: 0.117933 (0.1471) Acc@1: 100.0000 (99.7561) Acc@5: 100.0000 (100.0000) Time: 0.317s, 378.15/s (0.389s, 308.88/s) LR: 2.396e-04 +2023-08-05 10:18:30,530 - train: [ INFO] - Test: [ 0/16] Time: 1.779 (1.779) Loss: 4.5178 (4.5178) Acc@1: 17.5000 (17.5000)Acc@5: 53.3333 (53.3333) + +2023-08-05 10:18:32,173 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.201) Loss: 4.1185 (4.4745) Acc@1: 26.2500 (20.4000)Acc@5: 62.5000 (54.6500) + +2023-08-05 10:18:36,443 - train: [ INFO] - Train: 114 [ 0/41 (100%)] Loss: 0.134326 (0.1343) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.254s, 36.88/s (3.254s, 36.88/s) LR: 2.352e-04 +2023-08-05 10:18:49,064 - train: [ INFO] - Train: 114 [ 40/41 (100%)] Loss: 0.143268 (0.1402) Acc@1: 100.0000 (99.8374) Acc@5: 100.0000 (100.0000) Time: 0.317s, 378.17/s (0.387s, 309.94/s) LR: 2.352e-04 +2023-08-05 10:18:51,740 - train: [ INFO] - Test: [ 0/16] Time: 1.788 (1.788) Loss: 4.5080 (4.5080) Acc@1: 20.8333 (20.8333)Acc@5: 57.5000 (57.5000) + +2023-08-05 10:18:53,383 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.202) Loss: 4.6457 (4.2934) Acc@1: 17.5000 (21.7000)Acc@5: 46.2500 (57.0000) + +2023-08-05 10:18:57,778 - train: [ INFO] - Train: 115 [ 0/41 (100%)] Loss: 0.122663 (0.1227) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.261s, 36.79/s (3.261s, 36.79/s) LR: 2.307e-04 +2023-08-05 10:19:10,453 - train: [ INFO] - Train: 115 [ 40/41 (100%)] Loss: 0.151078 (0.1380) Acc@1: 100.0000 (99.8171) Acc@5: 100.0000 (100.0000) Time: 0.317s, 378.78/s (0.389s, 308.78/s) LR: 2.307e-04 +2023-08-05 10:19:13,604 - train: [ INFO] - Test: [ 0/16] Time: 2.165 (2.165) Loss: 5.0191 (5.0191) Acc@1: 13.3333 (13.3333)Acc@5: 46.6667 (46.6667) + +2023-08-05 10:19:15,233 - train: [ INFO] - Test: [ 16/16] Time: 0.073 (0.223) Loss: 4.2258 (4.4636) Acc@1: 20.0000 (18.6000)Acc@5: 60.0000 (55.2500) + +2023-08-05 10:19:20,737 - train: [ INFO] - Train: 116 [ 0/41 (100%)] Loss: 0.130453 (0.1305) Acc@1: 98.3333 (98.3333) Acc@5: 100.0000 (100.0000) Time: 4.563s, 26.30/s (4.563s, 26.30/s) LR: 2.264e-04 +2023-08-05 10:19:33,298 - train: [ INFO] - Train: 116 [ 40/41 (100%)] Loss: 0.142486 (0.1380) Acc@1: 100.0000 (99.7764) Acc@5: 100.0000 (100.0000) Time: 0.317s, 378.30/s (0.418s, 287.36/s) LR: 2.264e-04 +2023-08-05 10:19:36,065 - train: [ INFO] - Test: [ 0/16] Time: 1.779 (1.779) Loss: 5.8016 (5.8016) Acc@1: 13.3333 (13.3333)Acc@5: 48.3333 (48.3333) + +2023-08-05 10:19:37,672 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.199) Loss: 5.8405 (5.4523) Acc@1: 11.2500 (14.1500)Acc@5: 46.2500 (49.0500) + +2023-08-05 10:19:41,942 - train: [ INFO] - Train: 117 [ 0/41 (100%)] Loss: 0.123555 (0.1236) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.230s, 37.15/s (3.230s, 37.15/s) LR: 2.220e-04 +2023-08-05 10:19:54,557 - train: [ INFO] - Train: 117 [ 40/41 (100%)] Loss: 0.115717 (0.1341) Acc@1: 99.1667 (99.7968) Acc@5: 100.0000 (100.0000) Time: 0.310s, 386.89/s (0.386s, 310.55/s) LR: 2.220e-04 +2023-08-05 10:19:57,408 - train: [ INFO] - Test: [ 0/16] Time: 1.757 (1.757) Loss: 4.9378 (4.9378) Acc@1: 15.0000 (15.0000)Acc@5: 52.5000 (52.5000) + +2023-08-05 10:19:59,050 - train: [ INFO] - Test: [ 16/16] Time: 0.072 (0.200) Loss: 5.4898 (5.4103) Acc@1: 17.5000 (14.9000)Acc@5: 43.7500 (47.0000) + +2023-08-05 10:20:03,418 - train: [ INFO] - Train: 118 [ 0/41 (100%)] Loss: 0.116781 (0.1168) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.296s, 36.41/s (3.296s, 36.41/s) LR: 2.176e-04 +2023-08-05 10:20:16,022 - train: [ INFO] - Train: 118 [ 40/41 (100%)] Loss: 0.154092 (0.1294) Acc@1: 99.1667 (99.8781) Acc@5: 100.0000 (100.0000) Time: 0.317s, 378.26/s (0.388s, 309.47/s) LR: 2.176e-04 +2023-08-05 10:20:18,603 - train: [ INFO] - Test: [ 0/16] Time: 1.807 (1.807) Loss: 4.9479 (4.9479) Acc@1: 15.8333 (15.8333)Acc@5: 58.3333 (58.3333) + +2023-08-05 10:20:20,247 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.203) Loss: 4.9685 (5.1307) Acc@1: 13.7500 (15.4500)Acc@5: 56.2500 (52.3000) + +2023-08-05 10:20:25,550 - train: [ INFO] - Train: 119 [ 0/41 (100%)] Loss: 0.121479 (0.1215) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 4.236s, 28.33/s (4.236s, 28.33/s) LR: 2.133e-04 +2023-08-05 10:20:38,161 - train: [ INFO] - Train: 119 [ 40/41 (100%)] Loss: 0.125184 (0.1218) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.311s, 385.87/s (0.411s, 292.06/s) LR: 2.133e-04 +2023-08-05 10:20:40,828 - train: [ INFO] - Test: [ 0/16] Time: 1.817 (1.817) Loss: 4.0949 (4.0949) Acc@1: 21.6667 (21.6667)Acc@5: 58.3333 (58.3333) + +2023-08-05 10:20:42,458 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.203) Loss: 4.3201 (4.2075) Acc@1: 21.2500 (22.1500)Acc@5: 57.5000 (56.4500) + +2023-08-05 10:20:46,742 - train: [ INFO] - Train: 120 [ 0/41 (100%)] Loss: 0.121559 (0.1216) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.218s, 37.28/s (3.218s, 37.28/s) LR: 2.090e-04 +2023-08-05 10:20:59,294 - train: [ INFO] - Train: 120 [ 40/41 (100%)] Loss: 0.115094 (0.1287) Acc@1: 100.0000 (99.7968) Acc@5: 100.0000 (100.0000) Time: 0.315s, 380.72/s (0.385s, 311.99/s) LR: 2.090e-04 +2023-08-05 10:21:01,784 - train: [ INFO] - Test: [ 0/16] Time: 1.683 (1.683) Loss: 4.5454 (4.5454) Acc@1: 21.6667 (21.6667)Acc@5: 57.5000 (57.5000) + +2023-08-05 10:21:03,411 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.195) Loss: 4.2388 (4.3064) Acc@1: 15.0000 (20.6500)Acc@5: 52.5000 (55.7000) + +2023-08-05 10:21:07,900 - train: [ INFO] - Train: 121 [ 0/41 (100%)] Loss: 0.109982 (0.1100) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.365s, 35.66/s (3.365s, 35.66/s) LR: 2.047e-04 +2023-08-05 10:21:20,534 - train: [ INFO] - Train: 121 [ 40/41 (100%)] Loss: 0.103761 (0.1175) Acc@1: 100.0000 (99.8781) Acc@5: 100.0000 (100.0000) Time: 0.315s, 381.00/s (0.390s, 307.56/s) LR: 2.047e-04 +2023-08-05 10:21:23,515 - train: [ INFO] - Test: [ 0/16] Time: 1.896 (1.896) Loss: 3.9660 (3.9660) Acc@1: 27.5000 (27.5000)Acc@5: 65.8333 (65.8333) + +2023-08-05 10:21:25,122 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.206) Loss: 4.9058 (4.6773) Acc@1: 13.7500 (18.7500)Acc@5: 48.7500 (53.7500) + +2023-08-05 10:21:30,133 - train: [ INFO] - Train: 122 [ 0/41 (100%)] Loss: 0.095719 (0.0957) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.999s, 30.01/s (3.999s, 30.01/s) LR: 2.004e-04 +2023-08-05 10:21:42,770 - train: [ INFO] - Train: 122 [ 40/41 (100%)] Loss: 0.125032 (0.1168) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.317s, 378.95/s (0.406s, 295.78/s) LR: 2.004e-04 +2023-08-05 10:21:45,664 - train: [ INFO] - Test: [ 0/16] Time: 1.784 (1.784) Loss: 5.5351 (5.5351) Acc@1: 13.3333 (13.3333)Acc@5: 49.1667 (49.1667) + +2023-08-05 10:21:47,296 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.201) Loss: 5.5068 (5.1384) Acc@1: 16.2500 (16.2000)Acc@5: 42.5000 (49.7500) + +2023-08-05 10:21:51,755 - train: [ INFO] - Train: 123 [ 0/41 (100%)] Loss: 0.099408 (0.0994) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.285s, 36.53/s (3.285s, 36.53/s) LR: 1.962e-04 +2023-08-05 10:22:04,316 - train: [ INFO] - Train: 123 [ 40/41 (100%)] Loss: 0.106564 (0.1125) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.315s, 380.35/s (0.386s, 310.52/s) LR: 1.962e-04 +2023-08-05 10:22:06,915 - train: [ INFO] - Test: [ 0/16] Time: 1.758 (1.758) Loss: 4.8039 (4.8039) Acc@1: 17.5000 (17.5000)Acc@5: 52.5000 (52.5000) + +2023-08-05 10:22:08,548 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.199) Loss: 5.1656 (5.1306) Acc@1: 13.7500 (15.4500)Acc@5: 45.0000 (50.4500) + +2023-08-05 10:22:13,150 - train: [ INFO] - Train: 124 [ 0/41 (100%)] Loss: 0.108107 (0.1081) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.425s, 35.03/s (3.425s, 35.03/s) LR: 1.920e-04 +2023-08-05 10:22:25,747 - train: [ INFO] - Train: 124 [ 40/41 (100%)] Loss: 0.120475 (0.1132) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.320s, 375.29/s (0.391s, 307.09/s) LR: 1.920e-04 +2023-08-05 10:22:28,366 - train: [ INFO] - Test: [ 0/16] Time: 1.776 (1.776) Loss: 4.7868 (4.7868) Acc@1: 22.5000 (22.5000)Acc@5: 52.5000 (52.5000) + +2023-08-05 10:22:29,980 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.199) Loss: 4.1635 (4.5322) Acc@1: 17.5000 (19.9000)Acc@5: 61.2500 (55.1000) + +2023-08-05 10:22:34,192 - train: [ INFO] - Train: 125 [ 0/41 (100%)] Loss: 0.118925 (0.1189) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.238s, 37.06/s (3.238s, 37.06/s) LR: 1.878e-04 +2023-08-05 10:22:46,782 - train: [ INFO] - Train: 125 [ 40/41 (100%)] Loss: 0.113311 (0.1143) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.310s, 386.53/s (0.386s, 310.87/s) LR: 1.878e-04 +2023-08-05 10:22:49,680 - train: [ INFO] - Test: [ 0/16] Time: 1.774 (1.774) Loss: 5.3390 (5.3390) Acc@1: 17.5000 (17.5000)Acc@5: 55.8333 (55.8333) + +2023-08-05 10:22:51,322 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.201) Loss: 5.4151 (5.2628) Acc@1: 18.7500 (17.0000)Acc@5: 51.2500 (52.3500) + +2023-08-05 10:22:55,678 - train: [ INFO] - Train: 126 [ 0/41 (100%)] Loss: 0.095439 (0.0954) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.216s, 37.31/s (3.216s, 37.31/s) LR: 1.836e-04 +2023-08-05 10:23:08,247 - train: [ INFO] - Train: 126 [ 40/41 (100%)] Loss: 0.100083 (0.1114) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.312s, 384.42/s (0.385s, 311.70/s) LR: 1.836e-04 +2023-08-05 10:23:10,885 - train: [ INFO] - Test: [ 0/16] Time: 1.705 (1.705) Loss: 4.4177 (4.4177) Acc@1: 22.5000 (22.5000)Acc@5: 57.5000 (57.5000) + +2023-08-05 10:23:12,514 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.196) Loss: 4.7563 (4.9202) Acc@1: 16.2500 (17.2000)Acc@5: 55.0000 (53.4000) + +2023-08-05 10:23:16,922 - train: [ INFO] - Train: 127 [ 0/41 (100%)] Loss: 0.115246 (0.1152) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.264s, 36.76/s (3.264s, 36.76/s) LR: 1.795e-04 +2023-08-05 10:23:29,532 - train: [ INFO] - Train: 127 [ 40/41 (100%)] Loss: 0.085664 (0.1084) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.314s, 382.17/s (0.387s, 309.95/s) LR: 1.795e-04 +2023-08-05 10:23:32,278 - train: [ INFO] - Test: [ 0/16] Time: 1.744 (1.744) Loss: 4.4781 (4.4781) Acc@1: 19.1667 (19.1667)Acc@5: 59.1667 (59.1667) + +2023-08-05 10:23:33,916 - train: [ INFO] - Test: [ 16/16] Time: 0.074 (0.199) Loss: 4.7982 (4.7103) Acc@1: 20.0000 (18.4000)Acc@5: 53.7500 (54.7000) + +2023-08-05 10:23:38,286 - train: [ INFO] - Train: 128 [ 0/41 (100%)] Loss: 0.105490 (0.1055) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.282s, 36.56/s (3.282s, 36.56/s) LR: 1.754e-04 +2023-08-05 10:23:50,815 - train: [ INFO] - Train: 128 [ 40/41 (100%)] Loss: 0.121267 (0.1080) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.312s, 385.06/s (0.386s, 311.21/s) LR: 1.754e-04 +2023-08-05 10:23:53,401 - train: [ INFO] - Test: [ 0/16] Time: 1.764 (1.764) Loss: 4.9146 (4.9146) Acc@1: 20.8333 (20.8333)Acc@5: 53.3333 (53.3333) + +2023-08-05 10:23:55,036 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.200) Loss: 5.1294 (4.9971) Acc@1: 17.5000 (16.9000)Acc@5: 48.7500 (52.8000) + +2023-08-05 10:23:59,451 - train: [ INFO] - Train: 129 [ 0/41 (100%)] Loss: 0.095620 (0.0956) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.283s, 36.55/s (3.283s, 36.55/s) LR: 1.713e-04 +2023-08-05 10:24:12,002 - train: [ INFO] - Train: 129 [ 40/41 (100%)] Loss: 0.099212 (0.1073) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.315s, 381.48/s (0.386s, 310.77/s) LR: 1.713e-04 +2023-08-05 10:24:14,828 - train: [ INFO] - Test: [ 0/16] Time: 1.772 (1.772) Loss: 5.4847 (5.4847) Acc@1: 21.6667 (21.6667)Acc@5: 50.8333 (50.8333) + +2023-08-05 10:24:16,449 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.200) Loss: 5.8399 (5.3480) Acc@1: 16.2500 (16.1500)Acc@5: 46.2500 (50.3500) + +2023-08-05 10:24:20,876 - train: [ INFO] - Train: 130 [ 0/41 (100%)] Loss: 0.108656 (0.1087) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.209s, 37.40/s (3.209s, 37.40/s) LR: 1.672e-04 +2023-08-05 10:24:33,422 - train: [ INFO] - Train: 130 [ 40/41 (100%)] Loss: 0.088027 (0.1031) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.315s, 380.48/s (0.384s, 312.32/s) LR: 1.672e-04 +2023-08-05 10:24:36,185 - train: [ INFO] - Test: [ 0/16] Time: 1.710 (1.710) Loss: 5.6945 (5.6945) Acc@1: 19.1667 (19.1667)Acc@5: 51.6667 (51.6667) + +2023-08-05 10:24:37,827 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.197) Loss: 5.9628 (5.6040) Acc@1: 8.7500 (14.0500)Acc@5: 47.5000 (47.6000) + +2023-08-05 10:24:42,098 - train: [ INFO] - Train: 131 [ 0/41 (100%)] Loss: 0.107967 (0.1080) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.226s, 37.19/s (3.226s, 37.19/s) LR: 1.632e-04 +2023-08-05 10:24:54,647 - train: [ INFO] - Train: 131 [ 40/41 (100%)] Loss: 0.097224 (0.1043) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.314s, 382.68/s (0.385s, 311.91/s) LR: 1.632e-04 +2023-08-05 10:24:57,291 - train: [ INFO] - Test: [ 0/16] Time: 1.775 (1.775) Loss: 5.1181 (5.1181) Acc@1: 16.6667 (16.6667)Acc@5: 55.8333 (55.8333) + +2023-08-05 10:24:58,911 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.200) Loss: 4.4082 (4.9329) Acc@1: 21.2500 (18.1000)Acc@5: 57.5000 (53.4000) + +2023-08-05 10:25:03,312 - train: [ INFO] - Train: 132 [ 0/41 (100%)] Loss: 0.137902 (0.1379) Acc@1: 99.1667 (99.1667) Acc@5: 100.0000 (100.0000) Time: 3.319s, 36.15/s (3.319s, 36.15/s) LR: 1.592e-04 +2023-08-05 10:25:15,969 - train: [ INFO] - Train: 132 [ 40/41 (100%)] Loss: 0.091495 (0.1031) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.315s, 381.43/s (0.390s, 307.99/s) LR: 1.592e-04 +2023-08-05 10:25:18,614 - train: [ INFO] - Test: [ 0/16] Time: 1.789 (1.789) Loss: 4.9896 (4.9896) Acc@1: 16.6667 (16.6667)Acc@5: 52.5000 (52.5000) + +2023-08-05 10:25:20,251 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.202) Loss: 5.4463 (5.1567) Acc@1: 16.2500 (14.8500)Acc@5: 50.0000 (51.5000) + +2023-08-05 10:25:24,667 - train: [ INFO] - Train: 133 [ 0/41 (100%)] Loss: 0.097362 (0.0974) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.455s, 34.74/s (3.455s, 34.74/s) LR: 1.553e-04 +2023-08-05 10:25:37,231 - train: [ INFO] - Train: 133 [ 40/41 (100%)] Loss: 0.092591 (0.1027) Acc@1: 100.0000 (99.8577) Acc@5: 100.0000 (100.0000) Time: 0.314s, 381.90/s (0.391s, 307.17/s) LR: 1.553e-04 +2023-08-05 10:25:39,820 - train: [ INFO] - Test: [ 0/16] Time: 1.778 (1.778) Loss: 5.0494 (5.0494) Acc@1: 14.1667 (14.1667)Acc@5: 50.8333 (50.8333) + +2023-08-05 10:25:41,468 - train: [ INFO] - Test: [ 16/16] Time: 0.074 (0.201) Loss: 5.5015 (5.0177) Acc@1: 7.5000 (17.1000)Acc@5: 47.5000 (51.8000) + +2023-08-05 10:25:45,919 - train: [ INFO] - Train: 134 [ 0/41 (100%)] Loss: 0.084913 (0.0849) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.321s, 36.14/s (3.321s, 36.14/s) LR: 1.514e-04 +2023-08-05 10:25:58,524 - train: [ INFO] - Train: 134 [ 40/41 (100%)] Loss: 0.118109 (0.0983) Acc@1: 100.0000 (99.8984) Acc@5: 100.0000 (100.0000) Time: 0.316s, 379.18/s (0.388s, 308.95/s) LR: 1.514e-04 +2023-08-05 10:26:01,261 - train: [ INFO] - Test: [ 0/16] Time: 1.724 (1.724) Loss: 5.3261 (5.3261) Acc@1: 13.3333 (13.3333)Acc@5: 53.3333 (53.3333) + +2023-08-05 10:26:02,899 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.198) Loss: 4.5758 (5.0361) Acc@1: 16.2500 (16.9000)Acc@5: 58.7500 (54.4500) + +2023-08-05 10:26:07,252 - train: [ INFO] - Train: 135 [ 0/41 (100%)] Loss: 0.086254 (0.0863) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.268s, 36.72/s (3.268s, 36.72/s) LR: 1.475e-04 +2023-08-05 10:26:19,825 - train: [ INFO] - Train: 135 [ 40/41 (100%)] Loss: 0.091253 (0.1007) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.315s, 381.32/s (0.386s, 310.60/s) LR: 1.475e-04 +2023-08-05 10:26:22,620 - train: [ INFO] - Test: [ 0/16] Time: 1.760 (1.760) Loss: 5.3145 (5.3145) Acc@1: 16.6667 (16.6667)Acc@5: 43.3333 (43.3333) + +2023-08-05 10:26:24,263 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.200) Loss: 3.9415 (4.7027) Acc@1: 20.0000 (17.7500)Acc@5: 61.2500 (53.4500) + +2023-08-05 10:26:28,376 - train: [ INFO] - Train: 136 [ 0/41 (100%)] Loss: 0.090840 (0.0908) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.322s, 36.12/s (3.322s, 36.12/s) LR: 1.437e-04 +2023-08-05 10:26:41,004 - train: [ INFO] - Train: 136 [ 40/41 (100%)] Loss: 0.090618 (0.0985) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.311s, 385.35/s (0.389s, 308.48/s) LR: 1.437e-04 +2023-08-05 10:26:43,662 - train: [ INFO] - Test: [ 0/16] Time: 1.820 (1.820) Loss: 4.5637 (4.5637) Acc@1: 16.6667 (16.6667)Acc@5: 55.0000 (55.0000) + +2023-08-05 10:26:45,294 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.203) Loss: 5.0749 (4.5045) Acc@1: 18.7500 (19.2000)Acc@5: 52.5000 (54.9000) + +2023-08-05 10:26:49,735 - train: [ INFO] - Train: 137 [ 0/41 (100%)] Loss: 0.118421 (0.1184) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.376s, 35.54/s (3.376s, 35.54/s) LR: 1.399e-04 +2023-08-05 10:27:02,365 - train: [ INFO] - Train: 137 [ 40/41 (100%)] Loss: 0.101856 (0.0934) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.317s, 378.97/s (0.390s, 307.42/s) LR: 1.399e-04 +2023-08-05 10:27:05,080 - train: [ INFO] - Test: [ 0/16] Time: 1.807 (1.807) Loss: 4.5484 (4.5484) Acc@1: 23.3333 (23.3333)Acc@5: 59.1667 (59.1667) + +2023-08-05 10:27:06,706 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.202) Loss: 4.6421 (4.4362) Acc@1: 16.2500 (20.8000)Acc@5: 55.0000 (56.5000) + +2023-08-05 10:27:11,223 - train: [ INFO] - Train: 138 [ 0/41 (100%)] Loss: 0.093493 (0.0935) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.417s, 35.12/s (3.417s, 35.12/s) LR: 1.361e-04 +2023-08-05 10:27:23,824 - train: [ INFO] - Train: 138 [ 40/41 (100%)] Loss: 0.118138 (0.0887) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.316s, 379.23/s (0.391s, 307.17/s) LR: 1.361e-04 +2023-08-05 10:27:26,473 - train: [ INFO] - Test: [ 0/16] Time: 1.758 (1.758) Loss: 4.0935 (4.0935) Acc@1: 23.3333 (23.3333)Acc@5: 63.3333 (63.3333) + +2023-08-05 10:27:28,106 - train: [ INFO] - Test: [ 16/16] Time: 0.072 (0.199) Loss: 4.3469 (4.5471) Acc@1: 20.0000 (19.3000)Acc@5: 52.5000 (54.3500) + +2023-08-05 10:27:32,381 - train: [ INFO] - Train: 139 [ 0/41 (100%)] Loss: 0.080800 (0.0808) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.331s, 36.02/s (3.331s, 36.02/s) LR: 1.324e-04 +2023-08-05 10:27:44,983 - train: [ INFO] - Train: 139 [ 40/41 (100%)] Loss: 0.092033 (0.0871) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.319s, 375.67/s (0.389s, 308.81/s) LR: 1.324e-04 +2023-08-05 10:27:47,550 - train: [ INFO] - Test: [ 0/16] Time: 1.753 (1.753) Loss: 5.1126 (5.1126) Acc@1: 19.1667 (19.1667)Acc@5: 50.0000 (50.0000) + +2023-08-05 10:27:49,185 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.199) Loss: 5.1738 (5.4385) Acc@1: 18.7500 (14.7500)Acc@5: 53.7500 (48.8500) + +2023-08-05 10:27:53,627 - train: [ INFO] - Train: 140 [ 0/41 (100%)] Loss: 0.101195 (0.1012) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.225s, 37.21/s (3.225s, 37.21/s) LR: 1.287e-04 +2023-08-05 10:28:06,180 - train: [ INFO] - Train: 140 [ 40/41 (100%)] Loss: 0.099127 (0.0877) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.316s, 379.41/s (0.385s, 311.88/s) LR: 1.287e-04 +2023-08-05 10:28:08,802 - train: [ INFO] - Test: [ 0/16] Time: 1.765 (1.765) Loss: 5.0457 (5.0457) Acc@1: 19.1667 (19.1667)Acc@5: 49.1667 (49.1667) + +2023-08-05 10:28:10,425 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.199) Loss: 4.2457 (4.7790) Acc@1: 20.0000 (17.2500)Acc@5: 57.5000 (53.4500) + +2023-08-05 10:28:14,639 - train: [ INFO] - Train: 141 [ 0/41 (100%)] Loss: 0.080014 (0.0800) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.246s, 36.97/s (3.246s, 36.97/s) LR: 1.251e-04 +2023-08-05 10:28:27,245 - train: [ INFO] - Train: 141 [ 40/41 (100%)] Loss: 0.081821 (0.0841) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.316s, 379.79/s (0.387s, 310.42/s) LR: 1.251e-04 +2023-08-05 10:28:29,985 - train: [ INFO] - Test: [ 0/16] Time: 1.783 (1.783) Loss: 5.1073 (5.1073) Acc@1: 20.0000 (20.0000)Acc@5: 46.6667 (46.6667) + +2023-08-05 10:28:31,608 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.200) Loss: 5.0586 (4.9265) Acc@1: 16.2500 (16.6000)Acc@5: 46.2500 (52.4000) + +2023-08-05 10:28:36,091 - train: [ INFO] - Train: 142 [ 0/41 (100%)] Loss: 0.083623 (0.0836) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.323s, 36.11/s (3.323s, 36.11/s) LR: 1.215e-04 +2023-08-05 10:28:48,729 - train: [ INFO] - Train: 142 [ 40/41 (100%)] Loss: 0.098484 (0.0853) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.314s, 381.63/s (0.389s, 308.27/s) LR: 1.215e-04 +2023-08-05 10:28:51,486 - train: [ INFO] - Test: [ 0/16] Time: 1.764 (1.764) Loss: 4.5700 (4.5700) Acc@1: 19.1667 (19.1667)Acc@5: 60.8333 (60.8333) + +2023-08-05 10:28:53,120 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.200) Loss: 4.7955 (5.2584) Acc@1: 20.0000 (15.9000)Acc@5: 51.2500 (51.1000) + +2023-08-05 10:28:57,453 - train: [ INFO] - Train: 143 [ 0/41 (100%)] Loss: 0.080229 (0.0802) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.226s, 37.20/s (3.226s, 37.20/s) LR: 1.179e-04 +2023-08-05 10:29:10,055 - train: [ INFO] - Train: 143 [ 40/41 (100%)] Loss: 0.089000 (0.0840) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.315s, 380.43/s (0.386s, 310.88/s) LR: 1.179e-04 +2023-08-05 10:29:12,747 - train: [ INFO] - Test: [ 0/16] Time: 1.709 (1.709) Loss: 5.3435 (5.3435) Acc@1: 15.0000 (15.0000)Acc@5: 48.3333 (48.3333) + +2023-08-05 10:29:14,372 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.196) Loss: 5.3692 (5.3140) Acc@1: 15.0000 (15.3500)Acc@5: 58.7500 (50.9500) + +2023-08-05 10:29:18,554 - train: [ INFO] - Train: 144 [ 0/41 (100%)] Loss: 0.084124 (0.0841) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.281s, 36.57/s (3.281s, 36.57/s) LR: 1.144e-04 +2023-08-05 10:29:31,161 - train: [ INFO] - Train: 144 [ 40/41 (100%)] Loss: 0.077603 (0.0854) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.318s, 377.78/s (0.387s, 309.69/s) LR: 1.144e-04 +2023-08-05 10:29:33,894 - train: [ INFO] - Test: [ 0/16] Time: 1.770 (1.770) Loss: 5.3103 (5.3103) Acc@1: 16.6667 (16.6667)Acc@5: 47.5000 (47.5000) + +2023-08-05 10:29:35,517 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.200) Loss: 5.5787 (5.2369) Acc@1: 13.7500 (14.7500)Acc@5: 51.2500 (50.9000) + +2023-08-05 10:29:40,035 - train: [ INFO] - Train: 145 [ 0/41 (100%)] Loss: 0.082387 (0.0824) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.326s, 36.08/s (3.326s, 36.08/s) LR: 1.109e-04 +2023-08-05 10:29:52,568 - train: [ INFO] - Train: 145 [ 40/41 (100%)] Loss: 0.072389 (0.0856) Acc@1: 100.0000 (99.9187) Acc@5: 100.0000 (100.0000) Time: 0.320s, 375.19/s (0.387s, 310.26/s) LR: 1.109e-04 +2023-08-05 10:29:55,224 - train: [ INFO] - Test: [ 0/16] Time: 1.779 (1.779) Loss: 4.4782 (4.4782) Acc@1: 20.0000 (20.0000)Acc@5: 58.3333 (58.3333) + +2023-08-05 10:29:56,867 - train: [ INFO] - Test: [ 16/16] Time: 0.073 (0.201) Loss: 4.1242 (4.7667) Acc@1: 23.7500 (17.0000)Acc@5: 60.0000 (54.5500) + +2023-08-05 10:30:01,272 - train: [ INFO] - Train: 146 [ 0/41 (100%)] Loss: 0.068200 (0.0682) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.251s, 36.91/s (3.251s, 36.91/s) LR: 1.075e-04 +2023-08-05 10:30:13,856 - train: [ INFO] - Train: 146 [ 40/41 (100%)] Loss: 0.066160 (0.0773) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.318s, 377.88/s (0.386s, 310.71/s) LR: 1.075e-04 +2023-08-05 10:30:16,552 - train: [ INFO] - Test: [ 0/16] Time: 1.745 (1.745) Loss: 5.1162 (5.1162) Acc@1: 19.1667 (19.1667)Acc@5: 49.1667 (49.1667) + +2023-08-05 10:30:18,188 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.199) Loss: 4.9133 (5.1928) Acc@1: 12.5000 (14.9500)Acc@5: 56.2500 (52.5000) + +2023-08-05 10:30:22,610 - train: [ INFO] - Train: 147 [ 0/41 (100%)] Loss: 0.078179 (0.0782) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.220s, 37.27/s (3.220s, 37.27/s) LR: 1.042e-04 +2023-08-05 10:30:35,181 - train: [ INFO] - Train: 147 [ 40/41 (100%)] Loss: 0.104964 (0.0804) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.313s, 383.54/s (0.385s, 311.59/s) LR: 1.042e-04 +2023-08-05 10:30:37,989 - train: [ INFO] - Test: [ 0/16] Time: 1.797 (1.797) Loss: 4.8570 (4.8570) Acc@1: 18.3333 (18.3333)Acc@5: 49.1667 (49.1667) + +2023-08-05 10:30:39,632 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.202) Loss: 4.6177 (4.8610) Acc@1: 18.7500 (16.8500)Acc@5: 52.5000 (53.9500) + +2023-08-05 10:30:44,002 - train: [ INFO] - Train: 148 [ 0/41 (100%)] Loss: 0.077313 (0.0773) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.274s, 36.65/s (3.274s, 36.65/s) LR: 1.008e-04 +2023-08-05 10:30:56,621 - train: [ INFO] - Train: 148 [ 40/41 (100%)] Loss: 0.074190 (0.0811) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.313s, 383.79/s (0.388s, 309.60/s) LR: 1.008e-04 +2023-08-05 10:30:59,392 - train: [ INFO] - Test: [ 0/16] Time: 1.757 (1.757) Loss: 5.0631 (5.0631) Acc@1: 16.6667 (16.6667)Acc@5: 50.8333 (50.8333) + +2023-08-05 10:31:01,014 - train: [ INFO] - Test: [ 16/16] Time: 0.067 (0.199) Loss: 5.1730 (5.0548) Acc@1: 13.7500 (17.1500)Acc@5: 47.5000 (52.0000) + +2023-08-05 10:31:05,341 - train: [ INFO] - Train: 149 [ 0/41 (100%)] Loss: 0.065606 (0.0656) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.247s, 36.96/s (3.247s, 36.96/s) LR: 9.757e-05 +2023-08-05 10:31:17,999 - train: [ INFO] - Train: 149 [ 40/41 (100%)] Loss: 0.077923 (0.0794) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.318s, 377.72/s (0.388s, 309.36/s) LR: 9.757e-05 +2023-08-05 10:31:20,860 - train: [ INFO] - Test: [ 0/16] Time: 1.784 (1.784) Loss: 5.9242 (5.9242) Acc@1: 11.6667 (11.6667)Acc@5: 44.1667 (44.1667) + +2023-08-05 10:31:22,504 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.202) Loss: 4.7951 (5.2664) Acc@1: 17.5000 (15.1500)Acc@5: 51.2500 (49.8000) + +2023-08-05 10:31:26,810 - train: [ INFO] - Train: 150 [ 0/41 (100%)] Loss: 0.059371 (0.0594) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.317s, 36.18/s (3.317s, 36.18/s) LR: 9.434e-05 +2023-08-05 10:31:39,396 - train: [ INFO] - Train: 150 [ 40/41 (100%)] Loss: 0.090618 (0.0810) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.311s, 385.85/s (0.388s, 309.41/s) LR: 9.434e-05 +2023-08-05 10:31:42,015 - train: [ INFO] - Test: [ 0/16] Time: 1.777 (1.777) Loss: 5.1766 (5.1766) Acc@1: 13.3333 (13.3333)Acc@5: 48.3333 (48.3333) + +2023-08-05 10:31:43,663 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.202) Loss: 5.6003 (5.3183) Acc@1: 18.7500 (15.9000)Acc@5: 51.2500 (52.9500) + +2023-08-05 10:31:48,149 - train: [ INFO] - Train: 151 [ 0/41 (100%)] Loss: 0.071146 (0.0711) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.300s, 36.37/s (3.300s, 36.37/s) LR: 9.117e-05 +2023-08-05 10:32:00,775 - train: [ INFO] - Train: 151 [ 40/41 (100%)] Loss: 0.102820 (0.0769) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.315s, 381.15/s (0.388s, 308.96/s) LR: 9.117e-05 +2023-08-05 10:32:03,344 - train: [ INFO] - Test: [ 0/16] Time: 1.733 (1.733) Loss: 5.4515 (5.4515) Acc@1: 13.3333 (13.3333)Acc@5: 49.1667 (49.1667) + +2023-08-05 10:32:04,956 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.197) Loss: 4.8396 (5.2751) Acc@1: 20.0000 (15.8000)Acc@5: 52.5000 (52.2500) + +2023-08-05 10:32:09,524 - train: [ INFO] - Train: 152 [ 0/41 (100%)] Loss: 0.086507 (0.0865) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.431s, 34.98/s (3.431s, 34.98/s) LR: 8.805e-05 +2023-08-05 10:32:22,132 - train: [ INFO] - Train: 152 [ 40/41 (100%)] Loss: 0.063648 (0.0774) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.319s, 376.37/s (0.391s, 306.80/s) LR: 8.805e-05 +2023-08-05 10:32:24,814 - train: [ INFO] - Test: [ 0/16] Time: 1.713 (1.713) Loss: 4.8454 (4.8454) Acc@1: 15.0000 (15.0000)Acc@5: 53.3333 (53.3333) + +2023-08-05 10:32:26,455 - train: [ INFO] - Test: [ 16/16] Time: 0.073 (0.197) Loss: 4.9541 (5.0699) Acc@1: 21.2500 (15.3000)Acc@5: 51.2500 (49.2000) + +2023-08-05 10:32:30,737 - train: [ INFO] - Train: 153 [ 0/41 (100%)] Loss: 0.074411 (0.0744) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.233s, 37.12/s (3.233s, 37.12/s) LR: 8.498e-05 +2023-08-05 10:32:43,335 - train: [ INFO] - Train: 153 [ 40/41 (100%)] Loss: 0.059038 (0.0759) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.314s, 382.43/s (0.386s, 310.80/s) LR: 8.498e-05 +2023-08-05 10:32:46,163 - train: [ INFO] - Test: [ 0/16] Time: 1.785 (1.785) Loss: 5.1447 (5.1447) Acc@1: 17.5000 (17.5000)Acc@5: 46.6667 (46.6667) + +2023-08-05 10:32:47,780 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.200) Loss: 5.5018 (5.4325) Acc@1: 12.5000 (14.6000)Acc@5: 46.2500 (47.1500) + +2023-08-05 10:32:51,943 - train: [ INFO] - Train: 154 [ 0/41 (100%)] Loss: 0.055309 (0.0553) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.312s, 36.23/s (3.312s, 36.23/s) LR: 8.196e-05 +2023-08-05 10:33:04,538 - train: [ INFO] - Train: 154 [ 40/41 (100%)] Loss: 0.069192 (0.0720) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.313s, 383.76/s (0.388s, 309.31/s) LR: 8.196e-05 +2023-08-05 10:33:07,266 - train: [ INFO] - Test: [ 0/16] Time: 1.795 (1.795) Loss: 4.9775 (4.9775) Acc@1: 15.0000 (15.0000)Acc@5: 50.0000 (50.0000) + +2023-08-05 10:33:08,918 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.203) Loss: 5.0982 (4.7934) Acc@1: 13.7500 (17.0500)Acc@5: 53.7500 (51.5000) + +2023-08-05 10:33:13,025 - train: [ INFO] - Train: 155 [ 0/41 (100%)] Loss: 0.051275 (0.0513) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.288s, 36.49/s (3.288s, 36.49/s) LR: 7.900e-05 +2023-08-05 10:33:25,614 - train: [ INFO] - Train: 155 [ 40/41 (100%)] Loss: 0.051018 (0.0704) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.317s, 378.14/s (0.387s, 309.91/s) LR: 7.900e-05 +2023-08-05 10:33:28,593 - train: [ INFO] - Test: [ 0/16] Time: 1.770 (1.770) Loss: 5.0563 (5.0563) Acc@1: 14.1667 (14.1667)Acc@5: 47.5000 (47.5000) + +2023-08-05 10:33:30,209 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.199) Loss: 5.4166 (4.8490) Acc@1: 15.0000 (16.1500)Acc@5: 51.2500 (51.9500) + +2023-08-05 10:33:34,577 - train: [ INFO] - Train: 156 [ 0/41 (100%)] Loss: 0.064771 (0.0648) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.264s, 36.77/s (3.264s, 36.77/s) LR: 7.609e-05 +2023-08-05 10:33:47,221 - train: [ INFO] - Train: 156 [ 40/41 (100%)] Loss: 0.073282 (0.0759) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.322s, 373.11/s (0.388s, 309.33/s) LR: 7.609e-05 +2023-08-05 10:33:49,868 - train: [ INFO] - Test: [ 0/16] Time: 1.789 (1.789) Loss: 5.5386 (5.5386) Acc@1: 14.1667 (14.1667)Acc@5: 50.0000 (50.0000) + +2023-08-05 10:33:51,500 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.201) Loss: 4.9421 (5.3370) Acc@1: 21.2500 (14.6000)Acc@5: 48.7500 (48.3000) + +2023-08-05 10:33:55,860 - train: [ INFO] - Train: 157 [ 0/41 (100%)] Loss: 0.081635 (0.0816) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.245s, 36.98/s (3.245s, 36.98/s) LR: 7.323e-05 +2023-08-05 10:34:08,462 - train: [ INFO] - Train: 157 [ 40/41 (100%)] Loss: 0.072964 (0.0723) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.317s, 378.07/s (0.386s, 310.50/s) LR: 7.323e-05 +2023-08-05 10:34:11,239 - train: [ INFO] - Test: [ 0/16] Time: 1.782 (1.782) Loss: 5.0182 (5.0182) Acc@1: 13.3333 (13.3333)Acc@5: 53.3333 (53.3333) + +2023-08-05 10:34:12,855 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.200) Loss: 5.4340 (5.4407) Acc@1: 22.5000 (15.3000)Acc@5: 47.5000 (48.4000) + +2023-08-05 10:34:17,091 - train: [ INFO] - Train: 158 [ 0/41 (100%)] Loss: 0.057589 (0.0576) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.267s, 36.73/s (3.267s, 36.73/s) LR: 7.043e-05 +2023-08-05 10:34:29,691 - train: [ INFO] - Train: 158 [ 40/41 (100%)] Loss: 0.058225 (0.0723) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.311s, 385.67/s (0.387s, 310.10/s) LR: 7.043e-05 +2023-08-05 10:34:32,397 - train: [ INFO] - Test: [ 0/16] Time: 1.797 (1.797) Loss: 5.1603 (5.1603) Acc@1: 17.5000 (17.5000)Acc@5: 51.6667 (51.6667) + +2023-08-05 10:34:34,009 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.201) Loss: 5.0885 (5.3170) Acc@1: 21.2500 (15.8500)Acc@5: 50.0000 (49.1000) + +2023-08-05 10:34:38,171 - train: [ INFO] - Train: 159 [ 0/41 (100%)] Loss: 0.069203 (0.0692) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.291s, 36.47/s (3.291s, 36.47/s) LR: 6.768e-05 +2023-08-05 10:34:50,779 - train: [ INFO] - Train: 159 [ 40/41 (100%)] Loss: 0.079254 (0.0750) Acc@1: 100.0000 (99.9390) Acc@5: 100.0000 (100.0000) Time: 0.312s, 384.04/s (0.388s, 309.50/s) LR: 6.768e-05 +2023-08-05 10:34:53,375 - train: [ INFO] - Test: [ 0/16] Time: 1.754 (1.754) Loss: 5.4329 (5.4329) Acc@1: 13.3333 (13.3333)Acc@5: 45.8333 (45.8333) + +2023-08-05 10:34:54,996 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.199) Loss: 5.2435 (5.6895) Acc@1: 21.2500 (14.0500)Acc@5: 48.7500 (47.1000) + +2023-08-05 10:34:59,435 - train: [ INFO] - Train: 160 [ 0/41 (100%)] Loss: 0.066133 (0.0661) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.243s, 37.00/s (3.243s, 37.00/s) LR: 6.500e-05 +2023-08-05 10:35:12,050 - train: [ INFO] - Train: 160 [ 40/41 (100%)] Loss: 0.083754 (0.0726) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.318s, 376.98/s (0.387s, 310.28/s) LR: 6.500e-05 +2023-08-05 10:35:14,617 - train: [ INFO] - Test: [ 0/16] Time: 1.734 (1.734) Loss: 4.7761 (4.7761) Acc@1: 15.0000 (15.0000)Acc@5: 55.8333 (55.8333) + +2023-08-05 10:35:16,234 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.197) Loss: 5.0418 (5.2507) Acc@1: 25.0000 (15.8500)Acc@5: 56.2500 (48.3500) + +2023-08-05 10:35:20,480 - train: [ INFO] - Train: 161 [ 0/41 (100%)] Loss: 0.068648 (0.0686) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.343s, 35.90/s (3.343s, 35.90/s) LR: 6.237e-05 +2023-08-05 10:35:33,096 - train: [ INFO] - Train: 161 [ 40/41 (100%)] Loss: 0.058873 (0.0708) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.318s, 376.90/s (0.389s, 308.32/s) LR: 6.237e-05 +2023-08-05 10:35:35,701 - train: [ INFO] - Test: [ 0/16] Time: 1.776 (1.776) Loss: 4.8885 (4.8885) Acc@1: 15.0000 (15.0000)Acc@5: 53.3333 (53.3333) + +2023-08-05 10:35:37,316 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.199) Loss: 5.0419 (4.7795) Acc@1: 13.7500 (16.9000)Acc@5: 41.2500 (51.1000) + +2023-08-05 10:35:41,827 - train: [ INFO] - Train: 162 [ 0/41 (100%)] Loss: 0.057904 (0.0579) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.311s, 36.24/s (3.311s, 36.24/s) LR: 5.980e-05 +2023-08-05 10:35:54,343 - train: [ INFO] - Train: 162 [ 40/41 (100%)] Loss: 0.080978 (0.0699) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.312s, 384.98/s (0.386s, 310.89/s) LR: 5.980e-05 +2023-08-05 10:35:57,023 - train: [ INFO] - Test: [ 0/16] Time: 1.750 (1.750) Loss: 4.5706 (4.5706) Acc@1: 19.1667 (19.1667)Acc@5: 51.6667 (51.6667) + +2023-08-05 10:35:58,657 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.199) Loss: 4.9557 (5.0221) Acc@1: 11.2500 (16.2500)Acc@5: 51.2500 (51.6500) + +2023-08-05 10:36:03,114 - train: [ INFO] - Train: 163 [ 0/41 (100%)] Loss: 0.077427 (0.0774) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.288s, 36.49/s (3.288s, 36.49/s) LR: 5.728e-05 +2023-08-05 10:36:15,721 - train: [ INFO] - Train: 163 [ 40/41 (100%)] Loss: 0.084502 (0.0723) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.310s, 386.83/s (0.388s, 309.55/s) LR: 5.728e-05 +2023-08-05 10:36:18,549 - train: [ INFO] - Test: [ 0/16] Time: 1.769 (1.769) Loss: 5.4489 (5.4489) Acc@1: 9.1667 ( 9.1667)Acc@5: 45.8333 (45.8333) + +2023-08-05 10:36:20,171 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.199) Loss: 5.2786 (5.1444) Acc@1: 15.0000 (16.0000)Acc@5: 53.7500 (50.3000) + +2023-08-05 10:36:24,464 - train: [ INFO] - Train: 164 [ 0/41 (100%)] Loss: 0.081750 (0.0817) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.224s, 37.22/s (3.224s, 37.22/s) LR: 5.483e-05 +2023-08-05 10:36:37,076 - train: [ INFO] - Train: 164 [ 40/41 (100%)] Loss: 0.056238 (0.0684) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.315s, 381.52/s (0.386s, 310.72/s) LR: 5.483e-05 +2023-08-05 10:36:39,752 - train: [ INFO] - Test: [ 0/16] Time: 1.800 (1.800) Loss: 5.0831 (5.0831) Acc@1: 15.0000 (15.0000)Acc@5: 51.6667 (51.6667) + +2023-08-05 10:36:41,367 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.201) Loss: 5.4883 (5.2564) Acc@1: 18.7500 (15.4000)Acc@5: 45.0000 (48.8000) + +2023-08-05 10:36:45,534 - train: [ INFO] - Train: 165 [ 0/41 (100%)] Loss: 0.069972 (0.0700) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.279s, 36.60/s (3.279s, 36.60/s) LR: 5.244e-05 +2023-08-05 10:36:58,143 - train: [ INFO] - Train: 165 [ 40/41 (100%)] Loss: 0.055068 (0.0680) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.318s, 377.43/s (0.387s, 309.72/s) LR: 5.244e-05 +2023-08-05 10:37:00,718 - train: [ INFO] - Test: [ 0/16] Time: 1.781 (1.781) Loss: 5.1289 (5.1289) Acc@1: 12.5000 (12.5000)Acc@5: 62.5000 (62.5000) + +2023-08-05 10:37:02,343 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.200) Loss: 5.3508 (5.1299) Acc@1: 10.0000 (14.8500)Acc@5: 45.0000 (51.4500) + +2023-08-05 10:37:06,740 - train: [ INFO] - Train: 166 [ 0/41 (100%)] Loss: 0.079194 (0.0792) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.354s, 35.78/s (3.354s, 35.78/s) LR: 5.010e-05 +2023-08-05 10:37:19,405 - train: [ INFO] - Train: 166 [ 40/41 (100%)] Loss: 0.063225 (0.0681) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.317s, 378.52/s (0.391s, 307.15/s) LR: 5.010e-05 +2023-08-05 10:37:22,129 - train: [ INFO] - Test: [ 0/16] Time: 1.759 (1.759) Loss: 5.1948 (5.1948) Acc@1: 11.6667 (11.6667)Acc@5: 50.0000 (50.0000) + +2023-08-05 10:37:23,753 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.199) Loss: 5.5625 (5.2870) Acc@1: 13.7500 (15.5500)Acc@5: 47.5000 (48.2000) + +2023-08-05 10:37:28,168 - train: [ INFO] - Train: 167 [ 0/41 (100%)] Loss: 0.062851 (0.0629) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.228s, 37.17/s (3.228s, 37.17/s) LR: 4.783e-05 +2023-08-05 10:37:40,726 - train: [ INFO] - Train: 167 [ 40/41 (100%)] Loss: 0.051229 (0.0641) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.308s, 389.36/s (0.385s, 311.67/s) LR: 4.783e-05 +2023-08-05 10:37:43,971 - train: [ INFO] - Test: [ 0/16] Time: 2.267 (2.267) Loss: 6.0722 (6.0722) Acc@1: 16.6667 (16.6667)Acc@5: 42.5000 (42.5000) + +2023-08-05 10:37:45,599 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.229) Loss: 5.5400 (5.6969) Acc@1: 15.0000 (14.2000)Acc@5: 58.7500 (48.2500) + +2023-08-05 10:37:50,081 - train: [ INFO] - Train: 168 [ 0/41 (100%)] Loss: 0.084184 (0.0842) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.299s, 36.37/s (3.299s, 36.37/s) LR: 4.562e-05 +2023-08-05 10:38:02,631 - train: [ INFO] - Train: 168 [ 40/41 (100%)] Loss: 0.050069 (0.0705) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.313s, 383.40/s (0.387s, 310.46/s) LR: 4.562e-05 +2023-08-05 10:38:05,455 - train: [ INFO] - Test: [ 0/16] Time: 1.744 (1.744) Loss: 5.8074 (5.8074) Acc@1: 10.8333 (10.8333)Acc@5: 45.8333 (45.8333) + +2023-08-05 10:38:07,086 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.199) Loss: 5.7464 (5.5286) Acc@1: 16.2500 (14.0000)Acc@5: 58.7500 (49.2500) + +2023-08-05 10:38:11,392 - train: [ INFO] - Train: 169 [ 0/41 (100%)] Loss: 0.050773 (0.0508) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.208s, 37.40/s (3.208s, 37.40/s) LR: 4.347e-05 +2023-08-05 10:38:23,994 - train: [ INFO] - Train: 169 [ 40/41 (100%)] Loss: 0.099902 (0.0645) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.315s, 380.53/s (0.386s, 311.22/s) LR: 4.347e-05 +2023-08-05 10:38:26,775 - train: [ INFO] - Test: [ 0/16] Time: 1.785 (1.785) Loss: 4.8350 (4.8350) Acc@1: 22.5000 (22.5000)Acc@5: 55.8333 (55.8333) + +2023-08-05 10:38:28,395 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.200) Loss: 4.2123 (4.8463) Acc@1: 17.5000 (17.2500)Acc@5: 60.0000 (52.3500) + +2023-08-05 10:38:32,818 - train: [ INFO] - Train: 170 [ 0/41 (100%)] Loss: 0.082712 (0.0827) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.299s, 36.38/s (3.299s, 36.38/s) LR: 4.139e-05 +2023-08-05 10:38:45,454 - train: [ INFO] - Train: 170 [ 40/41 (100%)] Loss: 0.058546 (0.0660) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.316s, 379.42/s (0.389s, 308.78/s) LR: 4.139e-05 +2023-08-05 10:38:48,088 - train: [ INFO] - Test: [ 0/16] Time: 1.760 (1.760) Loss: 4.6753 (4.6753) Acc@1: 22.5000 (22.5000)Acc@5: 58.3333 (58.3333) + +2023-08-05 10:38:49,723 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.200) Loss: 4.8649 (5.0826) Acc@1: 18.7500 (16.4500)Acc@5: 51.2500 (50.1500) + +2023-08-05 10:38:54,170 - train: [ INFO] - Train: 171 [ 0/41 (100%)] Loss: 0.078445 (0.0784) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.324s, 36.10/s (3.324s, 36.10/s) LR: 3.936e-05 +2023-08-05 10:39:06,777 - train: [ INFO] - Train: 171 [ 40/41 (100%)] Loss: 0.066616 (0.0639) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.320s, 374.99/s (0.389s, 308.83/s) LR: 3.936e-05 +2023-08-05 10:39:09,668 - train: [ INFO] - Test: [ 0/16] Time: 1.804 (1.804) Loss: 5.1351 (5.1351) Acc@1: 14.1667 (14.1667)Acc@5: 48.3333 (48.3333) + +2023-08-05 10:39:11,304 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.202) Loss: 5.4911 (5.2427) Acc@1: 11.2500 (15.1000)Acc@5: 45.0000 (52.1500) + +2023-08-05 10:39:15,671 - train: [ INFO] - Train: 172 [ 0/41 (100%)] Loss: 0.050222 (0.0502) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.242s, 37.01/s (3.242s, 37.01/s) LR: 3.741e-05 +2023-08-05 10:39:28,254 - train: [ INFO] - Train: 172 [ 40/41 (100%)] Loss: 0.063137 (0.0650) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.314s, 381.63/s (0.386s, 310.92/s) LR: 3.741e-05 +2023-08-05 10:39:30,895 - train: [ INFO] - Test: [ 0/16] Time: 1.702 (1.702) Loss: 5.8700 (5.8700) Acc@1: 11.6667 (11.6667)Acc@5: 45.8333 (45.8333) + +2023-08-05 10:39:32,551 - train: [ INFO] - Test: [ 16/16] Time: 0.074 (0.198) Loss: 5.0834 (5.1971) Acc@1: 17.5000 (15.6500)Acc@5: 50.0000 (50.9000) + +2023-08-05 10:39:36,597 - train: [ INFO] - Train: 173 [ 0/41 (100%)] Loss: 0.047518 (0.0475) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.228s, 37.17/s (3.228s, 37.17/s) LR: 3.551e-05 +2023-08-05 10:39:49,168 - train: [ INFO] - Train: 173 [ 40/41 (100%)] Loss: 0.098746 (0.0655) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.310s, 386.63/s (0.385s, 311.44/s) LR: 3.551e-05 +2023-08-05 10:39:51,872 - train: [ INFO] - Test: [ 0/16] Time: 1.766 (1.766) Loss: 4.3781 (4.3781) Acc@1: 16.6667 (16.6667)Acc@5: 58.3333 (58.3333) + +2023-08-05 10:39:53,492 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.199) Loss: 4.6216 (4.7710) Acc@1: 16.2500 (17.3000)Acc@5: 48.7500 (51.7500) + +2023-08-05 10:39:57,938 - train: [ INFO] - Train: 174 [ 0/41 (100%)] Loss: 0.058709 (0.0587) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.300s, 36.36/s (3.300s, 36.36/s) LR: 3.368e-05 +2023-08-05 10:40:10,475 - train: [ INFO] - Train: 174 [ 40/41 (100%)] Loss: 0.064682 (0.0651) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.309s, 387.90/s (0.386s, 310.70/s) LR: 3.368e-05 +2023-08-05 10:40:13,142 - train: [ INFO] - Test: [ 0/16] Time: 1.753 (1.753) Loss: 4.7476 (4.7476) Acc@1: 22.5000 (22.5000)Acc@5: 49.1667 (49.1667) + +2023-08-05 10:40:14,785 - train: [ INFO] - Test: [ 16/16] Time: 0.072 (0.200) Loss: 5.6426 (5.0804) Acc@1: 13.7500 (16.6500)Acc@5: 43.7500 (49.6000) + +2023-08-05 10:40:19,242 - train: [ INFO] - Train: 175 [ 0/41 (100%)] Loss: 0.050218 (0.0502) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.284s, 36.54/s (3.284s, 36.54/s) LR: 3.192e-05 +2023-08-05 10:40:31,844 - train: [ INFO] - Train: 175 [ 40/41 (100%)] Loss: 0.074022 (0.0643) Acc@1: 100.0000 (99.9594) Acc@5: 100.0000 (100.0000) Time: 0.309s, 388.12/s (0.387s, 309.73/s) LR: 3.192e-05 +2023-08-05 10:40:34,593 - train: [ INFO] - Test: [ 0/16] Time: 1.772 (1.772) Loss: 5.2135 (5.2135) Acc@1: 15.8333 (15.8333)Acc@5: 53.3333 (53.3333) + +2023-08-05 10:40:36,231 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.201) Loss: 5.4315 (5.5060) Acc@1: 5.0000 (14.2000)Acc@5: 51.2500 (49.5000) + +2023-08-05 10:40:40,684 - train: [ INFO] - Train: 176 [ 0/41 (100%)] Loss: 0.058172 (0.0582) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.286s, 36.52/s (3.286s, 36.52/s) LR: 3.022e-05 +2023-08-05 10:40:53,294 - train: [ INFO] - Train: 176 [ 40/41 (100%)] Loss: 0.068897 (0.0630) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.312s, 384.81/s (0.388s, 309.55/s) LR: 3.022e-05 +2023-08-05 10:40:55,883 - train: [ INFO] - Test: [ 0/16] Time: 1.724 (1.724) Loss: 4.6578 (4.6578) Acc@1: 17.5000 (17.5000)Acc@5: 55.0000 (55.0000) + +2023-08-05 10:40:57,505 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.197) Loss: 5.1368 (4.8296) Acc@1: 11.2500 (17.4000)Acc@5: 51.2500 (52.1500) + +2023-08-05 10:41:01,875 - train: [ INFO] - Train: 177 [ 0/41 (100%)] Loss: 0.060208 (0.0602) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.220s, 37.27/s (3.220s, 37.27/s) LR: 2.859e-05 +2023-08-05 10:41:14,470 - train: [ INFO] - Train: 177 [ 40/41 (100%)] Loss: 0.055784 (0.0620) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.315s, 381.12/s (0.386s, 311.12/s) LR: 2.859e-05 +2023-08-05 10:41:17,155 - train: [ INFO] - Test: [ 0/16] Time: 1.764 (1.764) Loss: 5.3978 (5.3978) Acc@1: 7.5000 ( 7.5000)Acc@5: 44.1667 (44.1667) + +2023-08-05 10:41:18,784 - train: [ INFO] - Test: [ 16/16] Time: 0.072 (0.200) Loss: 4.4933 (4.8783) Acc@1: 23.7500 (17.0500)Acc@5: 51.2500 (52.3500) + +2023-08-05 10:41:23,158 - train: [ INFO] - Train: 178 [ 0/41 (100%)] Loss: 0.060663 (0.0607) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.232s, 37.13/s (3.232s, 37.13/s) LR: 2.702e-05 +2023-08-05 10:41:35,767 - train: [ INFO] - Train: 178 [ 40/41 (100%)] Loss: 0.069668 (0.0682) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.319s, 376.15/s (0.386s, 310.60/s) LR: 2.702e-05 +2023-08-05 10:41:38,496 - train: [ INFO] - Test: [ 0/16] Time: 1.761 (1.761) Loss: 5.5987 (5.5987) Acc@1: 12.5000 (12.5000)Acc@5: 51.6667 (51.6667) + +2023-08-05 10:41:40,126 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.199) Loss: 5.3040 (5.5463) Acc@1: 8.7500 (13.6500)Acc@5: 51.2500 (50.1000) + +2023-08-05 10:41:44,561 - train: [ INFO] - Train: 179 [ 0/41 (100%)] Loss: 0.068398 (0.0684) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.257s, 36.84/s (3.257s, 36.84/s) LR: 2.553e-05 +2023-08-05 10:41:57,142 - train: [ INFO] - Train: 179 [ 40/41 (100%)] Loss: 0.070530 (0.0652) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.320s, 374.95/s (0.386s, 310.67/s) LR: 2.553e-05 +2023-08-05 10:41:59,900 - train: [ INFO] - Test: [ 0/16] Time: 1.772 (1.772) Loss: 5.0749 (5.0749) Acc@1: 15.8333 (15.8333)Acc@5: 55.8333 (55.8333) + +2023-08-05 10:42:01,524 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.200) Loss: 4.9607 (5.1795) Acc@1: 20.0000 (15.2000)Acc@5: 47.5000 (51.1000) + +2023-08-05 10:42:06,132 - train: [ INFO] - Train: 180 [ 0/41 (100%)] Loss: 0.060851 (0.0609) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.383s, 35.47/s (3.383s, 35.47/s) LR: 2.409e-05 +2023-08-05 10:42:18,760 - train: [ INFO] - Train: 180 [ 40/41 (100%)] Loss: 0.078989 (0.0608) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.317s, 379.09/s (0.390s, 307.31/s) LR: 2.409e-05 +2023-08-05 10:42:21,418 - train: [ INFO] - Test: [ 0/16] Time: 1.777 (1.777) Loss: 5.2948 (5.2948) Acc@1: 11.6667 (11.6667)Acc@5: 49.1667 (49.1667) + +2023-08-05 10:42:23,043 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.200) Loss: 5.2433 (5.4743) Acc@1: 13.7500 (14.4500)Acc@5: 46.2500 (49.5000) + +2023-08-05 10:42:27,181 - train: [ INFO] - Train: 181 [ 0/41 (100%)] Loss: 0.055015 (0.0550) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.239s, 37.04/s (3.239s, 37.04/s) LR: 2.273e-05 +2023-08-05 10:42:39,801 - train: [ INFO] - Train: 181 [ 40/41 (100%)] Loss: 0.071280 (0.0594) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.314s, 381.98/s (0.387s, 310.25/s) LR: 2.273e-05 +2023-08-05 10:42:42,461 - train: [ INFO] - Test: [ 0/16] Time: 1.728 (1.728) Loss: 5.1077 (5.1077) Acc@1: 12.5000 (12.5000)Acc@5: 50.8333 (50.8333) + +2023-08-05 10:42:44,112 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.199) Loss: 5.7059 (5.1535) Acc@1: 12.5000 (16.2500)Acc@5: 50.0000 (50.3000) + +2023-08-05 10:42:48,507 - train: [ INFO] - Train: 182 [ 0/41 (100%)] Loss: 0.058407 (0.0584) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.325s, 36.09/s (3.325s, 36.09/s) LR: 2.143e-05 +2023-08-05 10:43:01,060 - train: [ INFO] - Train: 182 [ 40/41 (100%)] Loss: 0.074421 (0.0597) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.313s, 382.99/s (0.387s, 309.90/s) LR: 2.143e-05 +2023-08-05 10:43:03,640 - train: [ INFO] - Test: [ 0/16] Time: 1.742 (1.742) Loss: 5.1651 (5.1651) Acc@1: 19.1667 (19.1667)Acc@5: 52.5000 (52.5000) + +2023-08-05 10:43:05,281 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.199) Loss: 5.2640 (5.1455) Acc@1: 17.5000 (16.0500)Acc@5: 47.5000 (49.4000) + +2023-08-05 10:43:09,547 - train: [ INFO] - Train: 183 [ 0/41 (100%)] Loss: 0.062772 (0.0628) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.353s, 35.79/s (3.353s, 35.79/s) LR: 2.021e-05 +2023-08-05 10:43:22,202 - train: [ INFO] - Train: 183 [ 40/41 (100%)] Loss: 0.063118 (0.0613) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.316s, 379.61/s (0.390s, 307.38/s) LR: 2.021e-05 +2023-08-05 10:43:25,137 - train: [ INFO] - Test: [ 0/16] Time: 1.743 (1.743) Loss: 4.7449 (4.7449) Acc@1: 15.0000 (15.0000)Acc@5: 55.8333 (55.8333) + +2023-08-05 10:43:26,782 - train: [ INFO] - Test: [ 16/16] Time: 0.072 (0.199) Loss: 4.5314 (4.9692) Acc@1: 8.7500 (16.4500)Acc@5: 56.2500 (50.6000) + +2023-08-05 10:43:31,239 - train: [ INFO] - Train: 184 [ 0/41 (100%)] Loss: 0.099737 (0.0997) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.314s, 36.20/s (3.314s, 36.20/s) LR: 1.905e-05 +2023-08-05 10:43:43,816 - train: [ INFO] - Train: 184 [ 40/41 (100%)] Loss: 0.067913 (0.0625) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.317s, 378.66/s (0.388s, 309.63/s) LR: 1.905e-05 +2023-08-05 10:43:46,390 - train: [ INFO] - Test: [ 0/16] Time: 1.760 (1.760) Loss: 4.8937 (4.8937) Acc@1: 15.8333 (15.8333)Acc@5: 55.8333 (55.8333) + +2023-08-05 10:43:48,020 - train: [ INFO] - Test: [ 16/16] Time: 0.073 (0.199) Loss: 4.5712 (4.9333) Acc@1: 23.7500 (17.0500)Acc@5: 57.5000 (52.6500) + +2023-08-05 10:43:52,316 - train: [ INFO] - Train: 185 [ 0/41 (100%)] Loss: 0.049577 (0.0496) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.213s, 37.35/s (3.213s, 37.35/s) LR: 1.796e-05 +2023-08-05 10:44:04,979 - train: [ INFO] - Train: 185 [ 40/41 (100%)] Loss: 0.055357 (0.0616) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.313s, 382.92/s (0.387s, 309.94/s) LR: 1.796e-05 +2023-08-05 10:44:07,643 - train: [ INFO] - Test: [ 0/16] Time: 1.720 (1.720) Loss: 5.0847 (5.0847) Acc@1: 14.1667 (14.1667)Acc@5: 50.8333 (50.8333) + +2023-08-05 10:44:09,262 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.196) Loss: 4.8077 (4.9997) Acc@1: 15.0000 (15.9000)Acc@5: 51.2500 (50.7000) + +2023-08-05 10:44:13,697 - train: [ INFO] - Train: 186 [ 0/41 (100%)] Loss: 0.071301 (0.0713) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.279s, 36.59/s (3.279s, 36.59/s) LR: 1.694e-05 +2023-08-05 10:44:26,274 - train: [ INFO] - Train: 186 [ 40/41 (100%)] Loss: 0.037959 (0.0589) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.312s, 384.21/s (0.387s, 310.31/s) LR: 1.694e-05 +2023-08-05 10:44:28,967 - train: [ INFO] - Test: [ 0/16] Time: 1.759 (1.759) Loss: 5.3608 (5.3608) Acc@1: 15.8333 (15.8333)Acc@5: 43.3333 (43.3333) + +2023-08-05 10:44:30,603 - train: [ INFO] - Test: [ 16/16] Time: 0.072 (0.200) Loss: 5.1253 (5.0004) Acc@1: 16.2500 (17.2500)Acc@5: 51.2500 (51.5500) + +2023-08-05 10:44:34,863 - train: [ INFO] - Train: 187 [ 0/41 (100%)] Loss: 0.052738 (0.0527) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.223s, 37.23/s (3.223s, 37.23/s) LR: 1.598e-05 +2023-08-05 10:44:47,449 - train: [ INFO] - Train: 187 [ 40/41 (100%)] Loss: 0.054619 (0.0626) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.306s, 392.16/s (0.386s, 311.25/s) LR: 1.598e-05 +2023-08-05 10:44:50,040 - train: [ INFO] - Test: [ 0/16] Time: 1.779 (1.779) Loss: 5.4020 (5.4020) Acc@1: 17.5000 (17.5000)Acc@5: 46.6667 (46.6667) + +2023-08-05 10:44:51,648 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.199) Loss: 5.2600 (5.3085) Acc@1: 15.0000 (15.5000)Acc@5: 50.0000 (49.6500) + +2023-08-05 10:44:55,910 - train: [ INFO] - Train: 188 [ 0/41 (100%)] Loss: 0.055884 (0.0559) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.312s, 36.23/s (3.312s, 36.23/s) LR: 1.510e-05 +2023-08-05 10:45:08,541 - train: [ INFO] - Train: 188 [ 40/41 (100%)] Loss: 0.063581 (0.0568) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.316s, 379.72/s (0.389s, 308.62/s) LR: 1.510e-05 +2023-08-05 10:45:11,116 - train: [ INFO] - Test: [ 0/16] Time: 1.768 (1.768) Loss: 4.8261 (4.8261) Acc@1: 15.8333 (15.8333)Acc@5: 49.1667 (49.1667) + +2023-08-05 10:45:12,770 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.201) Loss: 4.9328 (5.0087) Acc@1: 13.7500 (15.9000)Acc@5: 52.5000 (50.9500) + +2023-08-05 10:45:17,080 - train: [ INFO] - Train: 189 [ 0/41 (100%)] Loss: 0.049212 (0.0492) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.297s, 36.40/s (3.297s, 36.40/s) LR: 1.429e-05 +2023-08-05 10:45:29,723 - train: [ INFO] - Train: 189 [ 40/41 (100%)] Loss: 0.081106 (0.0578) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.313s, 383.60/s (0.389s, 308.69/s) LR: 1.429e-05 +2023-08-05 10:45:32,485 - train: [ INFO] - Test: [ 0/16] Time: 1.762 (1.762) Loss: 5.3871 (5.3871) Acc@1: 10.8333 (10.8333)Acc@5: 46.6667 (46.6667) + +2023-08-05 10:45:34,113 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.199) Loss: 5.2957 (5.4181) Acc@1: 13.7500 (14.3000)Acc@5: 53.7500 (50.9000) + +2023-08-05 10:45:38,285 - train: [ INFO] - Train: 190 [ 0/41 (100%)] Loss: 0.053352 (0.0534) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.237s, 37.07/s (3.237s, 37.07/s) LR: 1.355e-05 +2023-08-05 10:45:50,860 - train: [ INFO] - Train: 190 [ 40/41 (100%)] Loss: 0.064034 (0.0575) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.316s, 379.61/s (0.386s, 311.18/s) LR: 1.355e-05 +2023-08-05 10:45:53,591 - train: [ INFO] - Test: [ 0/16] Time: 1.787 (1.787) Loss: 5.0455 (5.0455) Acc@1: 14.1667 (14.1667)Acc@5: 52.5000 (52.5000) + +2023-08-05 10:45:55,234 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.202) Loss: 4.8430 (4.9983) Acc@1: 13.7500 (16.2500)Acc@5: 60.0000 (52.2500) + +2023-08-05 10:45:59,609 - train: [ INFO] - Train: 191 [ 0/41 (100%)] Loss: 0.044271 (0.0443) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.262s, 36.79/s (3.262s, 36.79/s) LR: 1.287e-05 +2023-08-05 10:46:12,197 - train: [ INFO] - Train: 191 [ 40/41 (100%)] Loss: 0.070262 (0.0575) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.315s, 380.64/s (0.387s, 310.44/s) LR: 1.287e-05 +2023-08-05 10:46:14,893 - train: [ INFO] - Test: [ 0/16] Time: 1.779 (1.779) Loss: 4.8695 (4.8695) Acc@1: 17.5000 (17.5000)Acc@5: 56.6667 (56.6667) + +2023-08-05 10:46:16,516 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.200) Loss: 5.2554 (5.1412) Acc@1: 10.0000 (15.3500)Acc@5: 48.7500 (51.3000) + +2023-08-05 10:46:20,942 - train: [ INFO] - Train: 192 [ 0/41 (100%)] Loss: 0.057430 (0.0574) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.335s, 35.98/s (3.335s, 35.98/s) LR: 1.227e-05 +2023-08-05 10:46:33,589 - train: [ INFO] - Train: 192 [ 40/41 (100%)] Loss: 0.061107 (0.0604) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.313s, 383.43/s (0.390s, 307.87/s) LR: 1.227e-05 +2023-08-05 10:46:36,285 - train: [ INFO] - Test: [ 0/16] Time: 1.809 (1.809) Loss: 5.2770 (5.2770) Acc@1: 17.5000 (17.5000)Acc@5: 55.0000 (55.0000) + +2023-08-05 10:46:37,894 - train: [ INFO] - Test: [ 16/16] Time: 0.073 (0.201) Loss: 4.7095 (5.5453) Acc@1: 22.5000 (13.7000)Acc@5: 52.5000 (49.1500) + +2023-08-05 10:46:42,308 - train: [ INFO] - Train: 193 [ 0/41 (100%)] Loss: 0.061157 (0.0612) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.325s, 36.09/s (3.325s, 36.09/s) LR: 1.174e-05 +2023-08-05 10:46:54,900 - train: [ INFO] - Train: 193 [ 40/41 (100%)] Loss: 0.046840 (0.0605) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.316s, 379.46/s (0.388s, 309.14/s) LR: 1.174e-05 +2023-08-05 10:46:57,559 - train: [ INFO] - Test: [ 0/16] Time: 1.733 (1.733) Loss: 4.4514 (4.4514) Acc@1: 20.0000 (20.0000)Acc@5: 51.6667 (51.6667) + +2023-08-05 10:46:59,177 - train: [ INFO] - Test: [ 16/16] Time: 0.072 (0.197) Loss: 4.9181 (4.9020) Acc@1: 12.5000 (16.3000)Acc@5: 53.7500 (52.2000) + +2023-08-05 10:47:03,673 - train: [ INFO] - Train: 194 [ 0/41 (100%)] Loss: 0.071265 (0.0713) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.333s, 36.00/s (3.333s, 36.00/s) LR: 1.128e-05 +2023-08-05 10:47:16,258 - train: [ INFO] - Train: 194 [ 40/41 (100%)] Loss: 0.056794 (0.0559) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.314s, 382.73/s (0.388s, 309.12/s) LR: 1.128e-05 +2023-08-05 10:47:18,925 - train: [ INFO] - Test: [ 0/16] Time: 1.706 (1.706) Loss: 4.8186 (4.8186) Acc@1: 16.6667 (16.6667)Acc@5: 50.8333 (50.8333) + +2023-08-05 10:47:20,530 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.195) Loss: 4.3050 (4.6082) Acc@1: 20.0000 (17.5500)Acc@5: 58.7500 (53.7000) + +2023-08-05 10:47:24,720 - train: [ INFO] - Train: 195 [ 0/41 (100%)] Loss: 0.054822 (0.0548) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.228s, 37.17/s (3.228s, 37.17/s) LR: 1.089e-05 +2023-08-05 10:47:37,331 - train: [ INFO] - Train: 195 [ 40/41 (100%)] Loss: 0.071093 (0.0589) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.310s, 387.07/s (0.386s, 310.64/s) LR: 1.089e-05 +2023-08-05 10:47:40,022 - train: [ INFO] - Test: [ 0/16] Time: 1.753 (1.753) Loss: 5.2100 (5.2100) Acc@1: 22.5000 (22.5000)Acc@5: 46.6667 (46.6667) + +2023-08-05 10:47:41,660 - train: [ INFO] - Test: [ 16/16] Time: 0.071 (0.199) Loss: 5.5155 (5.1239) Acc@1: 11.2500 (15.9500)Acc@5: 45.0000 (49.8000) + +2023-08-05 10:47:46,162 - train: [ INFO] - Train: 196 [ 0/41 (100%)] Loss: 0.059344 (0.0593) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.308s, 36.27/s (3.308s, 36.27/s) LR: 1.057e-05 +2023-08-05 10:47:58,728 - train: [ INFO] - Train: 196 [ 40/41 (100%)] Loss: 0.058091 (0.0582) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.310s, 386.96/s (0.387s, 309.96/s) LR: 1.057e-05 +2023-08-05 10:48:01,458 - train: [ INFO] - Test: [ 0/16] Time: 1.788 (1.788) Loss: 5.5130 (5.5130) Acc@1: 14.1667 (14.1667)Acc@5: 47.5000 (47.5000) + +2023-08-05 10:48:03,110 - train: [ INFO] - Test: [ 16/16] Time: 0.070 (0.202) Loss: 6.2710 (5.5115) Acc@1: 6.2500 (13.8500)Acc@5: 38.7500 (49.4000) + +2023-08-05 10:48:07,605 - train: [ INFO] - Train: 197 [ 0/41 (100%)] Loss: 0.055445 (0.0554) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.296s, 36.41/s (3.296s, 36.41/s) LR: 1.032e-05 +2023-08-05 10:48:20,243 - train: [ INFO] - Train: 197 [ 40/41 (100%)] Loss: 0.060752 (0.0581) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.312s, 384.65/s (0.389s, 308.80/s) LR: 1.032e-05 +2023-08-05 10:48:22,952 - train: [ INFO] - Test: [ 0/16] Time: 1.769 (1.769) Loss: 4.5962 (4.5962) Acc@1: 17.5000 (17.5000)Acc@5: 62.5000 (62.5000) + +2023-08-05 10:48:24,561 - train: [ INFO] - Test: [ 16/16] Time: 0.072 (0.199) Loss: 5.4116 (5.1756) Acc@1: 8.7500 (15.6500)Acc@5: 43.7500 (50.5500) + +2023-08-05 10:48:29,045 - train: [ INFO] - Train: 198 [ 0/41 (100%)] Loss: 0.072231 (0.0722) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.287s, 36.50/s (3.287s, 36.50/s) LR: 1.014e-05 +2023-08-05 10:48:41,655 - train: [ INFO] - Train: 198 [ 40/41 (100%)] Loss: 0.058740 (0.0632) Acc@1: 100.0000 (99.9797) Acc@5: 100.0000 (100.0000) Time: 0.315s, 380.51/s (0.388s, 309.51/s) LR: 1.014e-05 +2023-08-05 10:48:44,411 - train: [ INFO] - Test: [ 0/16] Time: 1.742 (1.742) Loss: 5.2874 (5.2874) Acc@1: 16.6667 (16.6667)Acc@5: 55.0000 (55.0000) + +2023-08-05 10:48:46,027 - train: [ INFO] - Test: [ 16/16] Time: 0.068 (0.198) Loss: 5.1427 (5.1361) Acc@1: 8.7500 (15.6000)Acc@5: 50.0000 (50.6000) + +2023-08-05 10:48:50,228 - train: [ INFO] - Train: 199 [ 0/41 (100%)] Loss: 0.056808 (0.0568) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 3.252s, 36.90/s (3.252s, 36.90/s) LR: 1.004e-05 +2023-08-05 10:49:02,830 - train: [ INFO] - Train: 199 [ 40/41 (100%)] Loss: 0.053596 (0.0572) Acc@1: 100.0000 (100.0000) Acc@5: 100.0000 (100.0000) Time: 0.314s, 382.43/s (0.387s, 310.36/s) LR: 1.004e-05 +2023-08-05 10:49:05,615 - train: [ INFO] - Test: [ 0/16] Time: 1.786 (1.786) Loss: 5.1387 (5.1387) Acc@1: 13.3333 (13.3333)Acc@5: 50.0000 (50.0000) + +2023-08-05 10:49:07,230 - train: [ INFO] - Test: [ 16/16] Time: 0.069 (0.200) Loss: 5.3755 (5.1451) Acc@1: 16.2500 (15.5000)Acc@5: 47.5000 (50.6500) + +2023-08-05 10:49:08,321 - train: [ INFO] - *** Best metric: 25.700001182556154 (epoch 33) diff --git a/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/model_best.pth.tar b/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/model_best.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..62045205f581a46253591e015222848de65ded66 --- /dev/null +++ b/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/model_best.pth.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5f8cf92be24bd921404544e80d413294f9207998bb82f89dd3aa1eaa63afb3bf +size 134275213 diff --git a/resnet18-CEPDVS-6-seed_90210-bs_120-DA_True-ls_0.0-lr_0.005-traindataratio_1.0-TET_loss_True-refined_False/summary.csv 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