[ Tue Sep 27 13:02:05 2022 ] using warm up, epoch: 5
[ Tue Sep 27 13:02:29 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/cset/fc_bone_vel', 'model_saved_name': 'work_dir/ntu120/cset/fc_bone_vel/runs', 'config': 'config/nturgbd120-cross-set/fc_bone_vel.yaml', 'phase': 'train', 'save_score': False, 'joint_label': [], 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 35, 'eval_interval': 5, 'ema': False, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 48, 'train_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'train', 'debug': False, 'random_choose': False, 'random_shift': False, 'random_move': False, 'window_size': 64, 'normalization': False, 'random_rot': True, 'p_interval': [0.5, 1], 'vel': True, 'bone': True}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 120, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [7], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 64, 'test_batch_size': 64, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0004, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Tue Sep 27 13:02:29 2022 ] # Parameters: 2112877
[ Tue Sep 27 13:02:29 2022 ] Training epoch: 1
[ Tue Sep 27 13:06:50 2022 ] 	Mean training loss: 3.5999. loss2: 0.0000. Mean training acc: 15.75%.
[ Tue Sep 27 13:06:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:06:50 2022 ] Eval epoch: 1
[ Tue Sep 27 13:08:31 2022 ] 	Mean test loss of 930 batches: 2.799887595253606.
[ Tue Sep 27 13:08:31 2022 ] 	Top1: 27.68%
[ Tue Sep 27 13:08:32 2022 ] 	Top5: 61.59%
[ Tue Sep 27 13:08:32 2022 ] Training epoch: 2
[ Tue Sep 27 13:12:50 2022 ] 	Mean training loss: 2.2529. loss2: 0.0000. Mean training acc: 38.60%.
[ Tue Sep 27 13:12:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:12:50 2022 ] Eval epoch: 2
[ Tue Sep 27 13:14:30 2022 ] 	Mean test loss of 930 batches: 1.8898051750275398.
[ Tue Sep 27 13:14:30 2022 ] 	Top1: 46.49%
[ Tue Sep 27 13:14:31 2022 ] 	Top5: 81.19%
[ Tue Sep 27 13:14:31 2022 ] Training epoch: 3
[ Tue Sep 27 13:18:49 2022 ] 	Mean training loss: 1.6975. loss2: 0.0000. Mean training acc: 51.61%.
[ Tue Sep 27 13:18:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:18:49 2022 ] Eval epoch: 3
[ Tue Sep 27 13:20:29 2022 ] 	Mean test loss of 930 batches: 1.662741768296047.
[ Tue Sep 27 13:20:29 2022 ] 	Top1: 53.41%
[ Tue Sep 27 13:20:30 2022 ] 	Top5: 83.75%
[ Tue Sep 27 13:20:30 2022 ] Training epoch: 4
[ Tue Sep 27 13:24:48 2022 ] 	Mean training loss: 1.4621. loss2: 0.0000. Mean training acc: 57.56%.
[ Tue Sep 27 13:24:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:24:48 2022 ] Eval epoch: 4
[ Tue Sep 27 13:26:28 2022 ] 	Mean test loss of 930 batches: 1.4509188988516408.
[ Tue Sep 27 13:26:28 2022 ] 	Top1: 57.54%
[ Tue Sep 27 13:26:29 2022 ] 	Top5: 87.62%
[ Tue Sep 27 13:26:29 2022 ] Training epoch: 5
[ Tue Sep 27 13:30:47 2022 ] 	Mean training loss: 1.3611. loss2: 0.0000. Mean training acc: 60.42%.
[ Tue Sep 27 13:30:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:30:47 2022 ] Eval epoch: 5
[ Tue Sep 27 13:32:27 2022 ] 	Mean test loss of 930 batches: 1.61186200361098.
[ Tue Sep 27 13:32:27 2022 ] 	Top1: 54.75%
[ Tue Sep 27 13:32:28 2022 ] 	Top5: 84.34%
[ Tue Sep 27 13:32:28 2022 ] Training epoch: 6
[ Tue Sep 27 13:36:46 2022 ] 	Mean training loss: 1.2355. loss2: 0.0000. Mean training acc: 63.50%.
[ Tue Sep 27 13:36:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:36:46 2022 ] Eval epoch: 6
[ Tue Sep 27 13:38:26 2022 ] 	Mean test loss of 930 batches: 1.4762748654170703.
[ Tue Sep 27 13:38:27 2022 ] 	Top1: 57.52%
[ Tue Sep 27 13:38:27 2022 ] 	Top5: 87.44%
[ Tue Sep 27 13:38:27 2022 ] Training epoch: 7
[ Tue Sep 27 13:42:46 2022 ] 	Mean training loss: 1.1611. loss2: 0.0000. Mean training acc: 65.76%.
[ Tue Sep 27 13:42:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:42:46 2022 ] Eval epoch: 7
[ Tue Sep 27 13:44:26 2022 ] 	Mean test loss of 930 batches: 1.8480222006638845.
[ Tue Sep 27 13:44:27 2022 ] 	Top1: 51.51%
[ Tue Sep 27 13:44:27 2022 ] 	Top5: 82.09%
[ Tue Sep 27 13:44:27 2022 ] Training epoch: 8
[ Tue Sep 27 13:48:45 2022 ] 	Mean training loss: 1.1036. loss2: 0.0000. Mean training acc: 67.09%.
[ Tue Sep 27 13:48:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:48:45 2022 ] Eval epoch: 8
[ Tue Sep 27 13:50:25 2022 ] 	Mean test loss of 930 batches: 1.4125814678848432.
[ Tue Sep 27 13:50:26 2022 ] 	Top1: 59.99%
[ Tue Sep 27 13:50:27 2022 ] 	Top5: 87.95%
[ Tue Sep 27 13:50:27 2022 ] Training epoch: 9
[ Tue Sep 27 13:54:45 2022 ] 	Mean training loss: 1.0671. loss2: 0.0000. Mean training acc: 68.28%.
[ Tue Sep 27 13:54:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:54:45 2022 ] Eval epoch: 9
[ Tue Sep 27 13:56:25 2022 ] 	Mean test loss of 930 batches: 1.2315929368939451.
[ Tue Sep 27 13:56:25 2022 ] 	Top1: 64.93%
[ Tue Sep 27 13:56:26 2022 ] 	Top5: 90.29%
[ Tue Sep 27 13:56:26 2022 ] Training epoch: 10
[ Tue Sep 27 14:00:44 2022 ] 	Mean training loss: 1.0387. loss2: 0.0000. Mean training acc: 68.77%.
[ Tue Sep 27 14:00:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:00:44 2022 ] Eval epoch: 10
[ Tue Sep 27 14:02:24 2022 ] 	Mean test loss of 930 batches: 1.2690881794498812.
[ Tue Sep 27 14:02:24 2022 ] 	Top1: 63.80%
[ Tue Sep 27 14:02:25 2022 ] 	Top5: 89.50%
[ Tue Sep 27 14:02:25 2022 ] Training epoch: 11
[ Tue Sep 27 14:06:44 2022 ] 	Mean training loss: 1.0017. loss2: 0.0000. Mean training acc: 69.93%.
[ Tue Sep 27 14:06:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:06:44 2022 ] Eval epoch: 11
[ Tue Sep 27 14:08:24 2022 ] 	Mean test loss of 930 batches: 1.2338828537733324.
[ Tue Sep 27 14:08:24 2022 ] 	Top1: 64.35%
[ Tue Sep 27 14:08:25 2022 ] 	Top5: 90.56%
[ Tue Sep 27 14:08:25 2022 ] Training epoch: 12
[ Tue Sep 27 14:12:43 2022 ] 	Mean training loss: 0.9805. loss2: 0.0000. Mean training acc: 70.26%.
[ Tue Sep 27 14:12:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:12:43 2022 ] Eval epoch: 12
[ Tue Sep 27 14:14:23 2022 ] 	Mean test loss of 930 batches: 1.5949166654258646.
[ Tue Sep 27 14:14:24 2022 ] 	Top1: 58.11%
[ Tue Sep 27 14:14:24 2022 ] 	Top5: 85.06%
[ Tue Sep 27 14:14:24 2022 ] Training epoch: 13
[ Tue Sep 27 14:18:43 2022 ] 	Mean training loss: 0.9672. loss2: 0.0000. Mean training acc: 70.99%.
[ Tue Sep 27 14:18:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:18:43 2022 ] Eval epoch: 13
[ Tue Sep 27 14:20:23 2022 ] 	Mean test loss of 930 batches: 1.1577769245191287.
[ Tue Sep 27 14:20:24 2022 ] 	Top1: 66.64%
[ Tue Sep 27 14:20:24 2022 ] 	Top5: 91.32%
[ Tue Sep 27 14:20:24 2022 ] Training epoch: 14
[ Tue Sep 27 14:24:42 2022 ] 	Mean training loss: 0.9465. loss2: 0.0000. Mean training acc: 71.62%.
[ Tue Sep 27 14:24:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:24:42 2022 ] Eval epoch: 14
[ Tue Sep 27 14:26:22 2022 ] 	Mean test loss of 930 batches: 1.1793559963344247.
[ Tue Sep 27 14:26:23 2022 ] 	Top1: 65.56%
[ Tue Sep 27 14:26:23 2022 ] 	Top5: 90.76%
[ Tue Sep 27 14:26:24 2022 ] Training epoch: 15
[ Tue Sep 27 14:30:42 2022 ] 	Mean training loss: 0.9291. loss2: 0.0000. Mean training acc: 71.93%.
[ Tue Sep 27 14:30:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:30:42 2022 ] Eval epoch: 15
[ Tue Sep 27 14:32:22 2022 ] 	Mean test loss of 930 batches: 1.1789030386876034.
[ Tue Sep 27 14:32:23 2022 ] 	Top1: 66.91%
[ Tue Sep 27 14:32:23 2022 ] 	Top5: 90.73%
[ Tue Sep 27 14:32:23 2022 ] Training epoch: 16
[ Tue Sep 27 14:36:41 2022 ] 	Mean training loss: 0.9197. loss2: 0.0000. Mean training acc: 72.24%.
[ Tue Sep 27 14:36:41 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:36:41 2022 ] Eval epoch: 16
[ Tue Sep 27 14:38:22 2022 ] 	Mean test loss of 930 batches: 1.2849151346311773.
[ Tue Sep 27 14:38:22 2022 ] 	Top1: 64.51%
[ Tue Sep 27 14:38:23 2022 ] 	Top5: 88.98%
[ Tue Sep 27 14:38:23 2022 ] Training epoch: 17
[ Tue Sep 27 14:42:41 2022 ] 	Mean training loss: 0.9062. loss2: 0.0000. Mean training acc: 72.50%.
[ Tue Sep 27 14:42:41 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:42:41 2022 ] Eval epoch: 17
[ Tue Sep 27 14:44:21 2022 ] 	Mean test loss of 930 batches: 1.2388847882068286.
[ Tue Sep 27 14:44:22 2022 ] 	Top1: 64.86%
[ Tue Sep 27 14:44:22 2022 ] 	Top5: 89.93%
[ Tue Sep 27 14:44:22 2022 ] Training epoch: 18
[ Tue Sep 27 14:48:41 2022 ] 	Mean training loss: 0.9054. loss2: 0.0000. Mean training acc: 72.66%.
[ Tue Sep 27 14:48:41 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:48:41 2022 ] Eval epoch: 18
[ Tue Sep 27 14:50:21 2022 ] 	Mean test loss of 930 batches: 1.2141468173073184.
[ Tue Sep 27 14:50:21 2022 ] 	Top1: 65.30%
[ Tue Sep 27 14:50:22 2022 ] 	Top5: 90.52%
[ Tue Sep 27 14:50:22 2022 ] Training epoch: 19
[ Tue Sep 27 14:54:40 2022 ] 	Mean training loss: 0.8914. loss2: 0.0000. Mean training acc: 72.93%.
[ Tue Sep 27 14:54:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:54:40 2022 ] Eval epoch: 19
[ Tue Sep 27 14:56:20 2022 ] 	Mean test loss of 930 batches: 1.160672794170277.
[ Tue Sep 27 14:56:20 2022 ] 	Top1: 67.24%
[ Tue Sep 27 14:56:21 2022 ] 	Top5: 90.73%
[ Tue Sep 27 14:56:21 2022 ] Training epoch: 20
[ Tue Sep 27 15:00:39 2022 ] 	Mean training loss: 0.8753. loss2: 0.0000. Mean training acc: 73.51%.
[ Tue Sep 27 15:00:39 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:00:39 2022 ] Eval epoch: 20
[ Tue Sep 27 15:02:19 2022 ] 	Mean test loss of 930 batches: 1.097071611304437.
[ Tue Sep 27 15:02:20 2022 ] 	Top1: 68.52%
[ Tue Sep 27 15:02:20 2022 ] 	Top5: 91.81%
[ Tue Sep 27 15:02:20 2022 ] Training epoch: 21
[ Tue Sep 27 15:06:39 2022 ] 	Mean training loss: 0.8737. loss2: 0.0000. Mean training acc: 73.65%.
[ Tue Sep 27 15:06:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:06:39 2022 ] Eval epoch: 21
[ Tue Sep 27 15:08:19 2022 ] 	Mean test loss of 930 batches: 1.1909741902864108.
[ Tue Sep 27 15:08:19 2022 ] 	Top1: 66.41%
[ Tue Sep 27 15:08:20 2022 ] 	Top5: 90.94%
[ Tue Sep 27 15:08:20 2022 ] Training epoch: 22
[ Tue Sep 27 15:12:38 2022 ] 	Mean training loss: 0.8730. loss2: 0.0000. Mean training acc: 73.69%.
[ Tue Sep 27 15:12:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:12:38 2022 ] Eval epoch: 22
[ Tue Sep 27 15:14:18 2022 ] 	Mean test loss of 930 batches: 1.1775122603101116.
[ Tue Sep 27 15:14:19 2022 ] 	Top1: 66.29%
[ Tue Sep 27 15:14:19 2022 ] 	Top5: 90.90%
[ Tue Sep 27 15:14:19 2022 ] Training epoch: 23
[ Tue Sep 27 15:18:37 2022 ] 	Mean training loss: 0.8663. loss2: 0.0000. Mean training acc: 73.60%.
[ Tue Sep 27 15:18:37 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:18:37 2022 ] Eval epoch: 23
[ Tue Sep 27 15:20:17 2022 ] 	Mean test loss of 930 batches: 1.0340723221340486.
[ Tue Sep 27 15:20:18 2022 ] 	Top1: 70.09%
[ Tue Sep 27 15:20:18 2022 ] 	Top5: 91.99%
[ Tue Sep 27 15:20:18 2022 ] Training epoch: 24
[ Tue Sep 27 15:24:37 2022 ] 	Mean training loss: 0.8572. loss2: 0.0000. Mean training acc: 74.15%.
[ Tue Sep 27 15:24:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:24:37 2022 ] Eval epoch: 24
[ Tue Sep 27 15:26:17 2022 ] 	Mean test loss of 930 batches: 1.1361022805013965.
[ Tue Sep 27 15:26:17 2022 ] 	Top1: 67.16%
[ Tue Sep 27 15:26:18 2022 ] 	Top5: 91.19%
[ Tue Sep 27 15:26:18 2022 ] Training epoch: 25
[ Tue Sep 27 15:30:37 2022 ] 	Mean training loss: 0.8510. loss2: 0.0000. Mean training acc: 74.23%.
[ Tue Sep 27 15:30:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:30:37 2022 ] Eval epoch: 25
[ Tue Sep 27 15:32:17 2022 ] 	Mean test loss of 930 batches: 1.158164752939696.
[ Tue Sep 27 15:32:18 2022 ] 	Top1: 67.12%
[ Tue Sep 27 15:32:18 2022 ] 	Top5: 91.37%
[ Tue Sep 27 15:32:18 2022 ] Training epoch: 26
[ Tue Sep 27 15:36:37 2022 ] 	Mean training loss: 0.8512. loss2: 0.0000. Mean training acc: 74.16%.
[ Tue Sep 27 15:36:37 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:36:37 2022 ] Eval epoch: 26
[ Tue Sep 27 15:38:17 2022 ] 	Mean test loss of 930 batches: 1.275400669728556.
[ Tue Sep 27 15:38:17 2022 ] 	Top1: 63.84%
[ Tue Sep 27 15:38:18 2022 ] 	Top5: 89.73%
[ Tue Sep 27 15:38:18 2022 ] Training epoch: 27
[ Tue Sep 27 15:42:36 2022 ] 	Mean training loss: 0.8491. loss2: 0.0000. Mean training acc: 74.15%.
[ Tue Sep 27 15:42:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:42:36 2022 ] Eval epoch: 27
[ Tue Sep 27 15:44:16 2022 ] 	Mean test loss of 930 batches: 1.4645516953481141.
[ Tue Sep 27 15:44:17 2022 ] 	Top1: 61.03%
[ Tue Sep 27 15:44:17 2022 ] 	Top5: 86.69%
[ Tue Sep 27 15:44:17 2022 ] Training epoch: 28
[ Tue Sep 27 15:48:35 2022 ] 	Mean training loss: 0.8452. loss2: 0.0000. Mean training acc: 74.51%.
[ Tue Sep 27 15:48:35 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:48:35 2022 ] Eval epoch: 28
[ Tue Sep 27 15:50:16 2022 ] 	Mean test loss of 930 batches: 1.0625886528722701.
[ Tue Sep 27 15:50:16 2022 ] 	Top1: 69.45%
[ Tue Sep 27 15:50:17 2022 ] 	Top5: 92.18%
[ Tue Sep 27 15:50:17 2022 ] Training epoch: 29
[ Tue Sep 27 15:54:35 2022 ] 	Mean training loss: 0.8353. loss2: 0.0000. Mean training acc: 74.77%.
[ Tue Sep 27 15:54:35 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:54:35 2022 ] Eval epoch: 29
[ Tue Sep 27 15:56:15 2022 ] 	Mean test loss of 930 batches: 1.0370852013108551.
[ Tue Sep 27 15:56:15 2022 ] 	Top1: 69.95%
[ Tue Sep 27 15:56:16 2022 ] 	Top5: 93.08%
[ Tue Sep 27 15:56:16 2022 ] Training epoch: 30
[ Tue Sep 27 16:00:35 2022 ] 	Mean training loss: 0.8314. loss2: 0.0000. Mean training acc: 74.80%.
[ Tue Sep 27 16:00:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:00:35 2022 ] Eval epoch: 30
[ Tue Sep 27 16:02:15 2022 ] 	Mean test loss of 930 batches: 1.2187548399932924.
[ Tue Sep 27 16:02:15 2022 ] 	Top1: 65.24%
[ Tue Sep 27 16:02:16 2022 ] 	Top5: 91.47%
[ Tue Sep 27 16:02:16 2022 ] Training epoch: 31
[ Tue Sep 27 16:06:34 2022 ] 	Mean training loss: 0.8339. loss2: 0.0000. Mean training acc: 74.62%.
[ Tue Sep 27 16:06:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:06:34 2022 ] Eval epoch: 31
[ Tue Sep 27 16:08:15 2022 ] 	Mean test loss of 930 batches: 1.1392664080986412.
[ Tue Sep 27 16:08:15 2022 ] 	Top1: 67.99%
[ Tue Sep 27 16:08:16 2022 ] 	Top5: 91.36%
[ Tue Sep 27 16:08:16 2022 ] Training epoch: 32
[ Tue Sep 27 16:12:34 2022 ] 	Mean training loss: 0.8305. loss2: 0.0000. Mean training acc: 74.81%.
[ Tue Sep 27 16:12:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:12:34 2022 ] Eval epoch: 32
[ Tue Sep 27 16:14:14 2022 ] 	Mean test loss of 930 batches: 1.4127562013364607.
[ Tue Sep 27 16:14:14 2022 ] 	Top1: 61.04%
[ Tue Sep 27 16:14:15 2022 ] 	Top5: 87.88%
[ Tue Sep 27 16:14:15 2022 ] Training epoch: 33
[ Tue Sep 27 16:18:33 2022 ] 	Mean training loss: 0.8288. loss2: 0.0000. Mean training acc: 74.78%.
[ Tue Sep 27 16:18:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:18:33 2022 ] Eval epoch: 33
[ Tue Sep 27 16:20:13 2022 ] 	Mean test loss of 930 batches: 1.1229000142825547.
[ Tue Sep 27 16:20:14 2022 ] 	Top1: 68.58%
[ Tue Sep 27 16:20:14 2022 ] 	Top5: 91.50%
[ Tue Sep 27 16:20:14 2022 ] Training epoch: 34
[ Tue Sep 27 16:24:32 2022 ] 	Mean training loss: 0.8274. loss2: 0.0000. Mean training acc: 74.87%.
[ Tue Sep 27 16:24:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:24:32 2022 ] Eval epoch: 34
[ Tue Sep 27 16:26:12 2022 ] 	Mean test loss of 930 batches: 1.2580593967309561.
[ Tue Sep 27 16:26:13 2022 ] 	Top1: 64.61%
[ Tue Sep 27 16:26:13 2022 ] 	Top5: 90.37%
[ Tue Sep 27 16:26:13 2022 ] Training epoch: 35
[ Tue Sep 27 16:30:32 2022 ] 	Mean training loss: 0.8241. loss2: 0.0000. Mean training acc: 75.00%.
[ Tue Sep 27 16:30:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:30:32 2022 ] Eval epoch: 35
[ Tue Sep 27 16:32:12 2022 ] 	Mean test loss of 930 batches: 1.275248317468551.
[ Tue Sep 27 16:32:12 2022 ] 	Top1: 64.37%
[ Tue Sep 27 16:32:13 2022 ] 	Top5: 89.99%
[ Tue Sep 27 16:32:13 2022 ] Training epoch: 36
[ Tue Sep 27 16:36:31 2022 ] 	Mean training loss: 0.8269. loss2: 0.0000. Mean training acc: 74.97%.
[ Tue Sep 27 16:36:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:36:31 2022 ] Eval epoch: 36
[ Tue Sep 27 16:38:11 2022 ] 	Mean test loss of 930 batches: 1.076020362588667.
[ Tue Sep 27 16:38:12 2022 ] 	Top1: 69.18%
[ Tue Sep 27 16:38:12 2022 ] 	Top5: 92.06%
[ Tue Sep 27 16:38:12 2022 ] Training epoch: 37
[ Tue Sep 27 16:42:30 2022 ] 	Mean training loss: 0.8190. loss2: 0.0000. Mean training acc: 75.28%.
[ Tue Sep 27 16:42:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:42:30 2022 ] Eval epoch: 37
[ Tue Sep 27 16:44:10 2022 ] 	Mean test loss of 930 batches: 1.2059142918035548.
[ Tue Sep 27 16:44:11 2022 ] 	Top1: 66.75%
[ Tue Sep 27 16:44:11 2022 ] 	Top5: 89.85%
[ Tue Sep 27 16:44:11 2022 ] Training epoch: 38
[ Tue Sep 27 16:48:29 2022 ] 	Mean training loss: 0.8227. loss2: 0.0000. Mean training acc: 75.10%.
[ Tue Sep 27 16:48:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:48:30 2022 ] Eval epoch: 38
[ Tue Sep 27 16:50:10 2022 ] 	Mean test loss of 930 batches: 0.9924547010852445.
[ Tue Sep 27 16:50:10 2022 ] 	Top1: 70.78%
[ Tue Sep 27 16:50:11 2022 ] 	Top5: 92.75%
[ Tue Sep 27 16:50:11 2022 ] Training epoch: 39
[ Tue Sep 27 16:54:29 2022 ] 	Mean training loss: 0.8183. loss2: 0.0000. Mean training acc: 75.24%.
[ Tue Sep 27 16:54:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:54:29 2022 ] Eval epoch: 39
[ Tue Sep 27 16:56:09 2022 ] 	Mean test loss of 930 batches: 1.2557161816986657.
[ Tue Sep 27 16:56:10 2022 ] 	Top1: 66.45%
[ Tue Sep 27 16:56:10 2022 ] 	Top5: 89.81%
[ Tue Sep 27 16:56:10 2022 ] Training epoch: 40
[ Tue Sep 27 17:00:28 2022 ] 	Mean training loss: 0.8157. loss2: 0.0000. Mean training acc: 75.19%.
[ Tue Sep 27 17:00:28 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:00:28 2022 ] Eval epoch: 40
[ Tue Sep 27 17:02:08 2022 ] 	Mean test loss of 930 batches: 1.0897865100893922.
[ Tue Sep 27 17:02:09 2022 ] 	Top1: 68.54%
[ Tue Sep 27 17:02:09 2022 ] 	Top5: 92.15%
[ Tue Sep 27 17:02:09 2022 ] Training epoch: 41
[ Tue Sep 27 17:06:27 2022 ] 	Mean training loss: 0.8102. loss2: 0.0000. Mean training acc: 75.20%.
[ Tue Sep 27 17:06:27 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:06:27 2022 ] Eval epoch: 41
[ Tue Sep 27 17:08:08 2022 ] 	Mean test loss of 930 batches: 1.1960504274855377.
[ Tue Sep 27 17:08:08 2022 ] 	Top1: 67.52%
[ Tue Sep 27 17:08:09 2022 ] 	Top5: 90.29%
[ Tue Sep 27 17:08:09 2022 ] Training epoch: 42
[ Tue Sep 27 17:12:27 2022 ] 	Mean training loss: 0.8145. loss2: 0.0000. Mean training acc: 75.13%.
[ Tue Sep 27 17:12:27 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:12:27 2022 ] Eval epoch: 42
[ Tue Sep 27 17:14:07 2022 ] 	Mean test loss of 930 batches: 1.0551513732120554.
[ Tue Sep 27 17:14:08 2022 ] 	Top1: 69.09%
[ Tue Sep 27 17:14:08 2022 ] 	Top5: 92.32%
[ Tue Sep 27 17:14:08 2022 ] Training epoch: 43
[ Tue Sep 27 17:18:26 2022 ] 	Mean training loss: 0.8083. loss2: 0.0000. Mean training acc: 75.42%.
[ Tue Sep 27 17:18:26 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:18:26 2022 ] Eval epoch: 43
[ Tue Sep 27 17:20:06 2022 ] 	Mean test loss of 930 batches: 1.1042162131878637.
[ Tue Sep 27 17:20:07 2022 ] 	Top1: 68.71%
[ Tue Sep 27 17:20:07 2022 ] 	Top5: 91.89%
[ Tue Sep 27 17:20:08 2022 ] Training epoch: 44
[ Tue Sep 27 17:24:25 2022 ] 	Mean training loss: 0.8105. loss2: 0.0000. Mean training acc: 75.37%.
[ Tue Sep 27 17:24:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:24:25 2022 ] Eval epoch: 44
[ Tue Sep 27 17:26:05 2022 ] 	Mean test loss of 930 batches: 1.1407841949373163.
[ Tue Sep 27 17:26:06 2022 ] 	Top1: 67.75%
[ Tue Sep 27 17:26:06 2022 ] 	Top5: 91.33%
[ Tue Sep 27 17:26:06 2022 ] Training epoch: 45
[ Tue Sep 27 17:30:24 2022 ] 	Mean training loss: 0.8081. loss2: 0.0000. Mean training acc: 75.49%.
[ Tue Sep 27 17:30:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:30:24 2022 ] Eval epoch: 45
[ Tue Sep 27 17:32:04 2022 ] 	Mean test loss of 930 batches: 1.020130441361858.
[ Tue Sep 27 17:32:05 2022 ] 	Top1: 70.62%
[ Tue Sep 27 17:32:05 2022 ] 	Top5: 92.40%
[ Tue Sep 27 17:32:06 2022 ] Training epoch: 46
[ Tue Sep 27 17:36:23 2022 ] 	Mean training loss: 0.8080. loss2: 0.0000. Mean training acc: 75.66%.
[ Tue Sep 27 17:36:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:36:23 2022 ] Eval epoch: 46
[ Tue Sep 27 17:38:03 2022 ] 	Mean test loss of 930 batches: 1.1834191699822745.
[ Tue Sep 27 17:38:04 2022 ] 	Top1: 66.41%
[ Tue Sep 27 17:38:04 2022 ] 	Top5: 90.94%
[ Tue Sep 27 17:38:04 2022 ] Training epoch: 47
[ Tue Sep 27 17:42:23 2022 ] 	Mean training loss: 0.8074. loss2: 0.0000. Mean training acc: 75.45%.
[ Tue Sep 27 17:42:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:42:23 2022 ] Eval epoch: 47
[ Tue Sep 27 17:44:03 2022 ] 	Mean test loss of 930 batches: 1.129574645815357.
[ Tue Sep 27 17:44:03 2022 ] 	Top1: 69.12%
[ Tue Sep 27 17:44:04 2022 ] 	Top5: 92.55%
[ Tue Sep 27 17:44:04 2022 ] Training epoch: 48
[ Tue Sep 27 17:48:22 2022 ] 	Mean training loss: 0.8062. loss2: 0.0000. Mean training acc: 75.60%.
[ Tue Sep 27 17:48:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:48:22 2022 ] Eval epoch: 48
[ Tue Sep 27 17:50:02 2022 ] 	Mean test loss of 930 batches: 1.0222375545770892.
[ Tue Sep 27 17:50:03 2022 ] 	Top1: 70.48%
[ Tue Sep 27 17:50:03 2022 ] 	Top5: 92.46%
[ Tue Sep 27 17:50:03 2022 ] Training epoch: 49
[ Tue Sep 27 17:54:21 2022 ] 	Mean training loss: 0.7927. loss2: 0.0000. Mean training acc: 75.83%.
[ Tue Sep 27 17:54:21 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:54:21 2022 ] Eval epoch: 49
[ Tue Sep 27 17:56:01 2022 ] 	Mean test loss of 930 batches: 1.123398669656887.
[ Tue Sep 27 17:56:01 2022 ] 	Top1: 67.56%
[ Tue Sep 27 17:56:02 2022 ] 	Top5: 92.10%
[ Tue Sep 27 17:56:02 2022 ] Training epoch: 50
[ Tue Sep 27 18:00:20 2022 ] 	Mean training loss: 0.8052. loss2: 0.0000. Mean training acc: 75.60%.
[ Tue Sep 27 18:00:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:00:20 2022 ] Eval epoch: 50
[ Tue Sep 27 18:02:00 2022 ] 	Mean test loss of 930 batches: 1.1308889576504308.
[ Tue Sep 27 18:02:01 2022 ] 	Top1: 67.83%
[ Tue Sep 27 18:02:01 2022 ] 	Top5: 91.86%
[ Tue Sep 27 18:02:01 2022 ] Training epoch: 51
[ Tue Sep 27 18:06:19 2022 ] 	Mean training loss: 0.7982. loss2: 0.0000. Mean training acc: 75.92%.
[ Tue Sep 27 18:06:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:06:19 2022 ] Eval epoch: 51
[ Tue Sep 27 18:08:00 2022 ] 	Mean test loss of 930 batches: 1.0642808420363292.
[ Tue Sep 27 18:08:00 2022 ] 	Top1: 69.70%
[ Tue Sep 27 18:08:01 2022 ] 	Top5: 92.39%
[ Tue Sep 27 18:08:01 2022 ] Training epoch: 52
[ Tue Sep 27 18:12:19 2022 ] 	Mean training loss: 0.8047. loss2: 0.0000. Mean training acc: 75.37%.
[ Tue Sep 27 18:12:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:12:19 2022 ] Eval epoch: 52
[ Tue Sep 27 18:13:59 2022 ] 	Mean test loss of 930 batches: 1.150120959198603.
[ Tue Sep 27 18:13:59 2022 ] 	Top1: 67.45%
[ Tue Sep 27 18:14:00 2022 ] 	Top5: 91.72%
[ Tue Sep 27 18:14:00 2022 ] Training epoch: 53
[ Tue Sep 27 18:18:17 2022 ] 	Mean training loss: 0.7932. loss2: 0.0000. Mean training acc: 76.27%.
[ Tue Sep 27 18:18:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:18:17 2022 ] Eval epoch: 53
[ Tue Sep 27 18:19:57 2022 ] 	Mean test loss of 930 batches: 1.107930588465865.
[ Tue Sep 27 18:19:58 2022 ] 	Top1: 68.67%
[ Tue Sep 27 18:19:59 2022 ] 	Top5: 91.27%
[ Tue Sep 27 18:19:59 2022 ] Training epoch: 54
[ Tue Sep 27 18:24:16 2022 ] 	Mean training loss: 0.8007. loss2: 0.0000. Mean training acc: 75.81%.
[ Tue Sep 27 18:24:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:24:17 2022 ] Eval epoch: 54
[ Tue Sep 27 18:25:57 2022 ] 	Mean test loss of 930 batches: 1.0962829723793974.
[ Tue Sep 27 18:25:57 2022 ] 	Top1: 68.82%
[ Tue Sep 27 18:25:58 2022 ] 	Top5: 91.68%
[ Tue Sep 27 18:25:58 2022 ] Training epoch: 55
[ Tue Sep 27 18:30:16 2022 ] 	Mean training loss: 0.8011. loss2: 0.0000. Mean training acc: 75.64%.
[ Tue Sep 27 18:30:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:30:16 2022 ] Eval epoch: 55
[ Tue Sep 27 18:31:56 2022 ] 	Mean test loss of 930 batches: 0.9818209340815903.
[ Tue Sep 27 18:31:56 2022 ] 	Top1: 71.89%
[ Tue Sep 27 18:31:57 2022 ] 	Top5: 92.84%
[ Tue Sep 27 18:31:57 2022 ] Training epoch: 56
[ Tue Sep 27 18:36:15 2022 ] 	Mean training loss: 0.7940. loss2: 0.0000. Mean training acc: 75.75%.
[ Tue Sep 27 18:36:15 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:36:15 2022 ] Eval epoch: 56
[ Tue Sep 27 18:37:55 2022 ] 	Mean test loss of 930 batches: 1.0081554815333376.
[ Tue Sep 27 18:37:56 2022 ] 	Top1: 71.25%
[ Tue Sep 27 18:37:56 2022 ] 	Top5: 92.73%
[ Tue Sep 27 18:37:56 2022 ] Training epoch: 57
[ Tue Sep 27 18:42:14 2022 ] 	Mean training loss: 0.7951. loss2: 0.0000. Mean training acc: 75.77%.
[ Tue Sep 27 18:42:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:42:14 2022 ] Eval epoch: 57
[ Tue Sep 27 18:43:54 2022 ] 	Mean test loss of 930 batches: 1.1006667674549164.
[ Tue Sep 27 18:43:55 2022 ] 	Top1: 68.62%
[ Tue Sep 27 18:43:55 2022 ] 	Top5: 91.59%
[ Tue Sep 27 18:43:55 2022 ] Training epoch: 58
[ Tue Sep 27 18:48:14 2022 ] 	Mean training loss: 0.7963. loss2: 0.0000. Mean training acc: 75.53%.
[ Tue Sep 27 18:48:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 18:48:14 2022 ] Eval epoch: 58
[ Tue Sep 27 18:49:54 2022 ] 	Mean test loss of 930 batches: 1.0111097015039896.
[ Tue Sep 27 18:49:55 2022 ] 	Top1: 70.90%
[ Tue Sep 27 18:49:55 2022 ] 	Top5: 92.50%
[ Tue Sep 27 18:49:55 2022 ] Training epoch: 59
[ Tue Sep 27 18:54:13 2022 ] 	Mean training loss: 0.7976. loss2: 0.0000. Mean training acc: 75.84%.
[ Tue Sep 27 18:54:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:54:13 2022 ] Eval epoch: 59
[ Tue Sep 27 18:55:53 2022 ] 	Mean test loss of 930 batches: 1.0814100084125355.
[ Tue Sep 27 18:55:54 2022 ] 	Top1: 70.14%
[ Tue Sep 27 18:55:54 2022 ] 	Top5: 91.51%
[ Tue Sep 27 18:55:54 2022 ] Training epoch: 60
[ Tue Sep 27 19:00:12 2022 ] 	Mean training loss: 0.7825. loss2: 0.0000. Mean training acc: 76.20%.
[ Tue Sep 27 19:00:12 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:00:12 2022 ] Eval epoch: 60
[ Tue Sep 27 19:01:52 2022 ] 	Mean test loss of 930 batches: 1.1004031391233526.
[ Tue Sep 27 19:01:53 2022 ] 	Top1: 68.45%
[ Tue Sep 27 19:01:53 2022 ] 	Top5: 91.81%
[ Tue Sep 27 19:01:53 2022 ] Training epoch: 61
[ Tue Sep 27 19:06:11 2022 ] 	Mean training loss: 0.7927. loss2: 0.0000. Mean training acc: 75.99%.
[ Tue Sep 27 19:06:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:06:11 2022 ] Eval epoch: 61
[ Tue Sep 27 19:07:52 2022 ] 	Mean test loss of 930 batches: 1.0432186144974924.
[ Tue Sep 27 19:07:52 2022 ] 	Top1: 69.64%
[ Tue Sep 27 19:07:53 2022 ] 	Top5: 92.79%
[ Tue Sep 27 19:07:53 2022 ] Training epoch: 62
[ Tue Sep 27 19:12:11 2022 ] 	Mean training loss: 0.7963. loss2: 0.0000. Mean training acc: 75.68%.
[ Tue Sep 27 19:12:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:12:11 2022 ] Eval epoch: 62
[ Tue Sep 27 19:13:51 2022 ] 	Mean test loss of 930 batches: 1.1707822924980553.
[ Tue Sep 27 19:13:52 2022 ] 	Top1: 67.28%
[ Tue Sep 27 19:13:52 2022 ] 	Top5: 90.27%
[ Tue Sep 27 19:13:52 2022 ] Training epoch: 63
[ Tue Sep 27 19:18:10 2022 ] 	Mean training loss: 0.7916. loss2: 0.0000. Mean training acc: 75.97%.
[ Tue Sep 27 19:18:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:18:10 2022 ] Eval epoch: 63
[ Tue Sep 27 19:19:51 2022 ] 	Mean test loss of 930 batches: 1.030253522979316.
[ Tue Sep 27 19:19:51 2022 ] 	Top1: 70.08%
[ Tue Sep 27 19:19:52 2022 ] 	Top5: 92.46%
[ Tue Sep 27 19:19:52 2022 ] Training epoch: 64
[ Tue Sep 27 19:24:09 2022 ] 	Mean training loss: 0.7955. loss2: 0.0000. Mean training acc: 75.83%.
[ Tue Sep 27 19:24:09 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:24:09 2022 ] Eval epoch: 64
[ Tue Sep 27 19:25:50 2022 ] 	Mean test loss of 930 batches: 1.0396194762119684.
[ Tue Sep 27 19:25:50 2022 ] 	Top1: 69.78%
[ Tue Sep 27 19:25:51 2022 ] 	Top5: 92.31%
[ Tue Sep 27 19:25:51 2022 ] Training epoch: 65
[ Tue Sep 27 19:30:08 2022 ] 	Mean training loss: 0.7896. loss2: 0.0000. Mean training acc: 76.16%.
[ Tue Sep 27 19:30:08 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:30:08 2022 ] Eval epoch: 65
[ Tue Sep 27 19:31:49 2022 ] 	Mean test loss of 930 batches: 1.0728826629218235.
[ Tue Sep 27 19:31:49 2022 ] 	Top1: 69.85%
[ Tue Sep 27 19:31:50 2022 ] 	Top5: 92.28%
[ Tue Sep 27 19:31:50 2022 ] Training epoch: 66
[ Tue Sep 27 19:36:07 2022 ] 	Mean training loss: 0.7870. loss2: 0.0000. Mean training acc: 76.00%.
[ Tue Sep 27 19:36:07 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:36:07 2022 ] Eval epoch: 66
[ Tue Sep 27 19:37:47 2022 ] 	Mean test loss of 930 batches: 1.078621133200584.
[ Tue Sep 27 19:37:48 2022 ] 	Top1: 69.25%
[ Tue Sep 27 19:37:48 2022 ] 	Top5: 92.18%
[ Tue Sep 27 19:37:49 2022 ] Training epoch: 67
[ Tue Sep 27 19:42:06 2022 ] 	Mean training loss: 0.7920. loss2: 0.0000. Mean training acc: 75.96%.
[ Tue Sep 27 19:42:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:42:06 2022 ] Eval epoch: 67
[ Tue Sep 27 19:43:46 2022 ] 	Mean test loss of 930 batches: 1.102247724962491.
[ Tue Sep 27 19:43:47 2022 ] 	Top1: 68.59%
[ Tue Sep 27 19:43:47 2022 ] 	Top5: 91.95%
[ Tue Sep 27 19:43:47 2022 ] Training epoch: 68
[ Tue Sep 27 19:48:05 2022 ] 	Mean training loss: 0.7904. loss2: 0.0000. Mean training acc: 75.90%.
[ Tue Sep 27 19:48:05 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:48:05 2022 ] Eval epoch: 68
[ Tue Sep 27 19:49:46 2022 ] 	Mean test loss of 930 batches: 1.1009471600414604.
[ Tue Sep 27 19:49:46 2022 ] 	Top1: 69.35%
[ Tue Sep 27 19:49:47 2022 ] 	Top5: 91.43%
[ Tue Sep 27 19:49:47 2022 ] Training epoch: 69
[ Tue Sep 27 19:54:04 2022 ] 	Mean training loss: 0.7877. loss2: 0.0000. Mean training acc: 76.04%.
[ Tue Sep 27 19:54:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:54:04 2022 ] Eval epoch: 69
[ Tue Sep 27 19:55:44 2022 ] 	Mean test loss of 930 batches: 1.1709483076487819.
[ Tue Sep 27 19:55:45 2022 ] 	Top1: 67.34%
[ Tue Sep 27 19:55:45 2022 ] 	Top5: 91.10%
[ Tue Sep 27 19:55:45 2022 ] Training epoch: 70
[ Tue Sep 27 20:00:03 2022 ] 	Mean training loss: 0.7885. loss2: 0.0000. Mean training acc: 75.90%.
[ Tue Sep 27 20:00:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 20:00:03 2022 ] Eval epoch: 70
[ Tue Sep 27 20:01:43 2022 ] 	Mean test loss of 930 batches: 1.189894934238926.
[ Tue Sep 27 20:01:44 2022 ] 	Top1: 67.29%
[ Tue Sep 27 20:01:45 2022 ] 	Top5: 90.74%
[ Tue Sep 27 20:01:45 2022 ] Training epoch: 71
[ Tue Sep 27 20:06:02 2022 ] 	Mean training loss: 0.7935. loss2: 0.0000. Mean training acc: 75.86%.
[ Tue Sep 27 20:06:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:06:02 2022 ] Eval epoch: 71
[ Tue Sep 27 20:07:43 2022 ] 	Mean test loss of 930 batches: 1.007333535757116.
[ Tue Sep 27 20:07:43 2022 ] 	Top1: 70.38%
[ Tue Sep 27 20:07:44 2022 ] 	Top5: 92.95%
[ Tue Sep 27 20:07:44 2022 ] Training epoch: 72
[ Tue Sep 27 20:12:02 2022 ] 	Mean training loss: 0.7929. loss2: 0.0000. Mean training acc: 75.96%.
[ Tue Sep 27 20:12:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:12:02 2022 ] Eval epoch: 72
[ Tue Sep 27 20:13:42 2022 ] 	Mean test loss of 930 batches: 1.0997375558140456.
[ Tue Sep 27 20:13:42 2022 ] 	Top1: 69.23%
[ Tue Sep 27 20:13:43 2022 ] 	Top5: 91.47%
[ Tue Sep 27 20:13:43 2022 ] Training epoch: 73
[ Tue Sep 27 20:18:02 2022 ] 	Mean training loss: 0.7844. loss2: 0.0000. Mean training acc: 76.24%.
[ Tue Sep 27 20:18:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:18:03 2022 ] Eval epoch: 73
[ Tue Sep 27 20:19:43 2022 ] 	Mean test loss of 930 batches: 1.0784629003655526.
[ Tue Sep 27 20:19:43 2022 ] 	Top1: 69.51%
[ Tue Sep 27 20:19:44 2022 ] 	Top5: 91.86%
[ Tue Sep 27 20:19:44 2022 ] Training epoch: 74
[ Tue Sep 27 20:24:01 2022 ] 	Mean training loss: 0.7883. loss2: 0.0000. Mean training acc: 76.13%.
[ Tue Sep 27 20:24:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:24:01 2022 ] Eval epoch: 74
[ Tue Sep 27 20:25:41 2022 ] 	Mean test loss of 930 batches: 1.0642785499493281.
[ Tue Sep 27 20:25:42 2022 ] 	Top1: 69.57%
[ Tue Sep 27 20:25:42 2022 ] 	Top5: 91.72%
[ Tue Sep 27 20:25:42 2022 ] Training epoch: 75
[ Tue Sep 27 20:30:00 2022 ] 	Mean training loss: 0.7856. loss2: 0.0000. Mean training acc: 76.19%.
[ Tue Sep 27 20:30:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:30:00 2022 ] Eval epoch: 75
[ Tue Sep 27 20:31:40 2022 ] 	Mean test loss of 930 batches: 1.0118045014078898.
[ Tue Sep 27 20:31:41 2022 ] 	Top1: 71.53%
[ Tue Sep 27 20:31:41 2022 ] 	Top5: 92.44%
[ Tue Sep 27 20:31:41 2022 ] Training epoch: 76
[ Tue Sep 27 20:35:59 2022 ] 	Mean training loss: 0.7876. loss2: 0.0000. Mean training acc: 76.18%.
[ Tue Sep 27 20:35:59 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:35:59 2022 ] Eval epoch: 76
[ Tue Sep 27 20:37:39 2022 ] 	Mean test loss of 930 batches: 0.9625198600433206.
[ Tue Sep 27 20:37:40 2022 ] 	Top1: 71.97%
[ Tue Sep 27 20:37:40 2022 ] 	Top5: 93.18%
[ Tue Sep 27 20:37:40 2022 ] Training epoch: 77
[ Tue Sep 27 20:41:58 2022 ] 	Mean training loss: 0.7889. loss2: 0.0000. Mean training acc: 76.18%.
[ Tue Sep 27 20:41:58 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:41:58 2022 ] Eval epoch: 77
[ Tue Sep 27 20:43:38 2022 ] 	Mean test loss of 930 batches: 1.1194966609439543.
[ Tue Sep 27 20:43:39 2022 ] 	Top1: 68.49%
[ Tue Sep 27 20:43:39 2022 ] 	Top5: 91.46%
[ Tue Sep 27 20:43:39 2022 ] Training epoch: 78
[ Tue Sep 27 20:47:57 2022 ] 	Mean training loss: 0.7805. loss2: 0.0000. Mean training acc: 76.34%.
[ Tue Sep 27 20:47:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:47:57 2022 ] Eval epoch: 78
[ Tue Sep 27 20:49:37 2022 ] 	Mean test loss of 930 batches: 1.134420552048632.
[ Tue Sep 27 20:49:38 2022 ] 	Top1: 67.63%
[ Tue Sep 27 20:49:38 2022 ] 	Top5: 90.99%
[ Tue Sep 27 20:49:38 2022 ] Training epoch: 79
[ Tue Sep 27 20:53:57 2022 ] 	Mean training loss: 0.7872. loss2: 0.0000. Mean training acc: 76.08%.
[ Tue Sep 27 20:53:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:53:57 2022 ] Eval epoch: 79
[ Tue Sep 27 20:55:37 2022 ] 	Mean test loss of 930 batches: 1.049071890564375.
[ Tue Sep 27 20:55:38 2022 ] 	Top1: 70.31%
[ Tue Sep 27 20:55:39 2022 ] 	Top5: 92.30%
[ Tue Sep 27 20:55:39 2022 ] Training epoch: 80
[ Tue Sep 27 20:59:56 2022 ] 	Mean training loss: 0.7899. loss2: 0.0000. Mean training acc: 76.15%.
[ Tue Sep 27 20:59:56 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:59:56 2022 ] Eval epoch: 80
[ Tue Sep 27 21:01:36 2022 ] 	Mean test loss of 930 batches: 1.383581724538598.
[ Tue Sep 27 21:01:37 2022 ] 	Top1: 63.19%
[ Tue Sep 27 21:01:37 2022 ] 	Top5: 87.61%
[ Tue Sep 27 21:01:37 2022 ] Training epoch: 81
[ Tue Sep 27 21:05:55 2022 ] 	Mean training loss: 0.7817. loss2: 0.0000. Mean training acc: 76.33%.
[ Tue Sep 27 21:05:55 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:05:55 2022 ] Eval epoch: 81
[ Tue Sep 27 21:07:35 2022 ] 	Mean test loss of 930 batches: 1.0603905870388912.
[ Tue Sep 27 21:07:36 2022 ] 	Top1: 70.04%
[ Tue Sep 27 21:07:36 2022 ] 	Top5: 92.05%
[ Tue Sep 27 21:07:36 2022 ] Training epoch: 82
[ Tue Sep 27 21:11:54 2022 ] 	Mean training loss: 0.7848. loss2: 0.0000. Mean training acc: 76.08%.
[ Tue Sep 27 21:11:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:11:54 2022 ] Eval epoch: 82
[ Tue Sep 27 21:13:34 2022 ] 	Mean test loss of 930 batches: 1.10239553730334.
[ Tue Sep 27 21:13:35 2022 ] 	Top1: 69.14%
[ Tue Sep 27 21:13:35 2022 ] 	Top5: 91.23%
[ Tue Sep 27 21:13:35 2022 ] Training epoch: 83
[ Tue Sep 27 21:17:53 2022 ] 	Mean training loss: 0.7826. loss2: 0.0000. Mean training acc: 76.24%.
[ Tue Sep 27 21:17:53 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:17:53 2022 ] Eval epoch: 83
[ Tue Sep 27 21:19:33 2022 ] 	Mean test loss of 930 batches: 1.0753069274528053.
[ Tue Sep 27 21:19:33 2022 ] 	Top1: 69.96%
[ Tue Sep 27 21:19:34 2022 ] 	Top5: 91.07%
[ Tue Sep 27 21:19:34 2022 ] Training epoch: 84
[ Tue Sep 27 21:23:51 2022 ] 	Mean training loss: 0.7790. loss2: 0.0000. Mean training acc: 76.42%.
[ Tue Sep 27 21:23:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:23:51 2022 ] Eval epoch: 84
[ Tue Sep 27 21:25:32 2022 ] 	Mean test loss of 930 batches: 1.0590484282021881.
[ Tue Sep 27 21:25:32 2022 ] 	Top1: 69.80%
[ Tue Sep 27 21:25:33 2022 ] 	Top5: 92.16%
[ Tue Sep 27 21:25:33 2022 ] Training epoch: 85
[ Tue Sep 27 21:29:50 2022 ] 	Mean training loss: 0.7816. loss2: 0.0000. Mean training acc: 76.41%.
[ Tue Sep 27 21:29:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:29:50 2022 ] Eval epoch: 85
[ Tue Sep 27 21:31:30 2022 ] 	Mean test loss of 930 batches: 1.0660094458249307.
[ Tue Sep 27 21:31:31 2022 ] 	Top1: 69.44%
[ Tue Sep 27 21:31:31 2022 ] 	Top5: 91.78%
[ Tue Sep 27 21:31:31 2022 ] Training epoch: 86
[ Tue Sep 27 21:35:49 2022 ] 	Mean training loss: 0.7825. loss2: 0.0000. Mean training acc: 76.22%.
[ Tue Sep 27 21:35:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:35:49 2022 ] Eval epoch: 86
[ Tue Sep 27 21:37:29 2022 ] 	Mean test loss of 930 batches: 1.0285875695687468.
[ Tue Sep 27 21:37:29 2022 ] 	Top1: 70.77%
[ Tue Sep 27 21:37:30 2022 ] 	Top5: 92.21%
[ Tue Sep 27 21:37:30 2022 ] Training epoch: 87
[ Tue Sep 27 21:41:47 2022 ] 	Mean training loss: 0.7737. loss2: 0.0000. Mean training acc: 76.62%.
[ Tue Sep 27 21:41:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:41:47 2022 ] Eval epoch: 87
[ Tue Sep 27 21:43:28 2022 ] 	Mean test loss of 930 batches: 1.161281745536353.
[ Tue Sep 27 21:43:28 2022 ] 	Top1: 67.70%
[ Tue Sep 27 21:43:29 2022 ] 	Top5: 90.59%
[ Tue Sep 27 21:43:29 2022 ] Training epoch: 88
[ Tue Sep 27 21:47:46 2022 ] 	Mean training loss: 0.7835. loss2: 0.0000. Mean training acc: 76.16%.
[ Tue Sep 27 21:47:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:47:46 2022 ] Eval epoch: 88
[ Tue Sep 27 21:49:27 2022 ] 	Mean test loss of 930 batches: 1.3894394493551665.
[ Tue Sep 27 21:49:27 2022 ] 	Top1: 62.74%
[ Tue Sep 27 21:49:28 2022 ] 	Top5: 87.76%
[ Tue Sep 27 21:49:28 2022 ] Training epoch: 89
[ Tue Sep 27 21:53:45 2022 ] 	Mean training loss: 0.7818. loss2: 0.0000. Mean training acc: 76.28%.
[ Tue Sep 27 21:53:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:53:45 2022 ] Eval epoch: 89
[ Tue Sep 27 21:55:25 2022 ] 	Mean test loss of 930 batches: 0.9745723518312618.
[ Tue Sep 27 21:55:26 2022 ] 	Top1: 71.39%
[ Tue Sep 27 21:55:26 2022 ] 	Top5: 93.19%
[ Tue Sep 27 21:55:26 2022 ] Training epoch: 90
[ Tue Sep 27 21:59:45 2022 ] 	Mean training loss: 0.7788. loss2: 0.0000. Mean training acc: 76.46%.
[ Tue Sep 27 21:59:45 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:59:45 2022 ] Eval epoch: 90
[ Tue Sep 27 22:01:25 2022 ] 	Mean test loss of 930 batches: 1.0610509324137882.
[ Tue Sep 27 22:01:26 2022 ] 	Top1: 69.45%
[ Tue Sep 27 22:01:26 2022 ] 	Top5: 91.67%
[ Tue Sep 27 22:01:26 2022 ] Training epoch: 91
[ Tue Sep 27 22:05:44 2022 ] 	Mean training loss: 0.4619. loss2: 0.0000. Mean training acc: 86.09%.
[ Tue Sep 27 22:05:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:05:44 2022 ] Eval epoch: 91
[ Tue Sep 27 22:07:24 2022 ] 	Mean test loss of 930 batches: 0.5922371919517235.
[ Tue Sep 27 22:07:24 2022 ] 	Top1: 82.53%
[ Tue Sep 27 22:07:25 2022 ] 	Top5: 96.44%
[ Tue Sep 27 22:07:25 2022 ] Training epoch: 92
[ Tue Sep 27 22:11:42 2022 ] 	Mean training loss: 0.3690. loss2: 0.0000. Mean training acc: 88.75%.
[ Tue Sep 27 22:11:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:11:43 2022 ] Eval epoch: 92
[ Tue Sep 27 22:13:22 2022 ] 	Mean test loss of 930 batches: 0.575920858105985.
[ Tue Sep 27 22:13:23 2022 ] 	Top1: 83.33%
[ Tue Sep 27 22:13:24 2022 ] 	Top5: 96.53%
[ Tue Sep 27 22:13:24 2022 ] Training epoch: 93
[ Tue Sep 27 22:17:41 2022 ] 	Mean training loss: 0.3307. loss2: 0.0000. Mean training acc: 89.98%.
[ Tue Sep 27 22:17:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:17:41 2022 ] Eval epoch: 93
[ Tue Sep 27 22:19:22 2022 ] 	Mean test loss of 930 batches: 0.5718662504467272.
[ Tue Sep 27 22:19:22 2022 ] 	Top1: 83.46%
[ Tue Sep 27 22:19:23 2022 ] 	Top5: 96.64%
[ Tue Sep 27 22:19:23 2022 ] Training epoch: 94
[ Tue Sep 27 22:23:41 2022 ] 	Mean training loss: 0.3067. loss2: 0.0000. Mean training acc: 90.78%.
[ Tue Sep 27 22:23:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:23:41 2022 ] Eval epoch: 94
[ Tue Sep 27 22:25:21 2022 ] 	Mean test loss of 930 batches: 0.5850564320081024.
[ Tue Sep 27 22:25:22 2022 ] 	Top1: 83.14%
[ Tue Sep 27 22:25:22 2022 ] 	Top5: 96.50%
[ Tue Sep 27 22:25:22 2022 ] Training epoch: 95
[ Tue Sep 27 22:29:40 2022 ] 	Mean training loss: 0.2854. loss2: 0.0000. Mean training acc: 91.44%.
[ Tue Sep 27 22:29:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:29:40 2022 ] Eval epoch: 95
[ Tue Sep 27 22:31:20 2022 ] 	Mean test loss of 930 batches: 0.5775524936776648.
[ Tue Sep 27 22:31:21 2022 ] 	Top1: 83.48%
[ Tue Sep 27 22:31:21 2022 ] 	Top5: 96.62%
[ Tue Sep 27 22:31:22 2022 ] Training epoch: 96
[ Tue Sep 27 22:35:40 2022 ] 	Mean training loss: 0.2675. loss2: 0.0000. Mean training acc: 92.01%.
[ Tue Sep 27 22:35:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:35:40 2022 ] Eval epoch: 96
[ Tue Sep 27 22:37:20 2022 ] 	Mean test loss of 930 batches: 0.615706687172254.
[ Tue Sep 27 22:37:20 2022 ] 	Top1: 82.45%
[ Tue Sep 27 22:37:21 2022 ] 	Top5: 96.23%
[ Tue Sep 27 22:37:21 2022 ] Training epoch: 97
[ Tue Sep 27 22:41:40 2022 ] 	Mean training loss: 0.2521. loss2: 0.0000. Mean training acc: 92.58%.
[ Tue Sep 27 22:41:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:41:40 2022 ] Eval epoch: 97
[ Tue Sep 27 22:43:20 2022 ] 	Mean test loss of 930 batches: 0.5880360228239849.
[ Tue Sep 27 22:43:20 2022 ] 	Top1: 83.40%
[ Tue Sep 27 22:43:21 2022 ] 	Top5: 96.57%
[ Tue Sep 27 22:43:21 2022 ] Training epoch: 98
[ Tue Sep 27 22:47:38 2022 ] 	Mean training loss: 0.2403. loss2: 0.0000. Mean training acc: 93.02%.
[ Tue Sep 27 22:47:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:47:38 2022 ] Eval epoch: 98
[ Tue Sep 27 22:49:18 2022 ] 	Mean test loss of 930 batches: 0.6025756380570833.
[ Tue Sep 27 22:49:19 2022 ] 	Top1: 82.84%
[ Tue Sep 27 22:49:19 2022 ] 	Top5: 96.47%
[ Tue Sep 27 22:49:19 2022 ] Training epoch: 99
[ Tue Sep 27 22:53:37 2022 ] 	Mean training loss: 0.2314. loss2: 0.0000. Mean training acc: 93.22%.
[ Tue Sep 27 22:53:37 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:53:37 2022 ] Eval epoch: 99
[ Tue Sep 27 22:55:17 2022 ] 	Mean test loss of 930 batches: 0.6222214461654745.
[ Tue Sep 27 22:55:18 2022 ] 	Top1: 82.46%
[ Tue Sep 27 22:55:18 2022 ] 	Top5: 96.27%
[ Tue Sep 27 22:55:18 2022 ] Training epoch: 100
[ Tue Sep 27 22:59:36 2022 ] 	Mean training loss: 0.2210. loss2: 0.0000. Mean training acc: 93.58%.
[ Tue Sep 27 22:59:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:59:36 2022 ] Eval epoch: 100
[ Tue Sep 27 23:01:16 2022 ] 	Mean test loss of 930 batches: 0.6506058450507861.
[ Tue Sep 27 23:01:16 2022 ] 	Top1: 82.20%
[ Tue Sep 27 23:01:17 2022 ] 	Top5: 96.00%
[ Tue Sep 27 23:01:17 2022 ] Training epoch: 101
[ Tue Sep 27 23:05:35 2022 ] 	Mean training loss: 0.1700. loss2: 0.0000. Mean training acc: 95.60%.
[ Tue Sep 27 23:05:35 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:05:35 2022 ] Eval epoch: 101
[ Tue Sep 27 23:07:15 2022 ] 	Mean test loss of 930 batches: 0.6026482513194443.
[ Tue Sep 27 23:07:15 2022 ] 	Top1: 83.39%
[ Tue Sep 27 23:07:16 2022 ] 	Top5: 96.47%
[ Tue Sep 27 23:07:16 2022 ] Training epoch: 102
[ Tue Sep 27 23:11:33 2022 ] 	Mean training loss: 0.1488. loss2: 0.0000. Mean training acc: 96.27%.
[ Tue Sep 27 23:11:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:11:33 2022 ] Eval epoch: 102
[ Tue Sep 27 23:13:14 2022 ] 	Mean test loss of 930 batches: 0.5927718007436362.
[ Tue Sep 27 23:13:14 2022 ] 	Top1: 83.69%
[ Tue Sep 27 23:13:15 2022 ] 	Top5: 96.53%
[ Tue Sep 27 23:13:15 2022 ] Training epoch: 103
[ Tue Sep 27 23:17:33 2022 ] 	Mean training loss: 0.1422. loss2: 0.0000. Mean training acc: 96.44%.
[ Tue Sep 27 23:17:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:17:33 2022 ] Eval epoch: 103
[ Tue Sep 27 23:19:13 2022 ] 	Mean test loss of 930 batches: 0.5924896912949701.
[ Tue Sep 27 23:19:13 2022 ] 	Top1: 83.65%
[ Tue Sep 27 23:19:14 2022 ] 	Top5: 96.54%
[ Tue Sep 27 23:19:14 2022 ] Training epoch: 104
[ Tue Sep 27 23:23:32 2022 ] 	Mean training loss: 0.1379. loss2: 0.0000. Mean training acc: 96.54%.
[ Tue Sep 27 23:23:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:23:32 2022 ] Eval epoch: 104
[ Tue Sep 27 23:25:12 2022 ] 	Mean test loss of 930 batches: 0.585719927292197.
[ Tue Sep 27 23:25:13 2022 ] 	Top1: 83.98%
[ Tue Sep 27 23:25:13 2022 ] 	Top5: 96.60%
[ Tue Sep 27 23:25:13 2022 ] Training epoch: 105
[ Tue Sep 27 23:29:31 2022 ] 	Mean training loss: 0.1309. loss2: 0.0000. Mean training acc: 96.81%.
[ Tue Sep 27 23:29:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:29:31 2022 ] Eval epoch: 105
[ Tue Sep 27 23:31:12 2022 ] 	Mean test loss of 930 batches: 0.5904542596149509.
[ Tue Sep 27 23:31:12 2022 ] 	Top1: 83.83%
[ Tue Sep 27 23:31:13 2022 ] 	Top5: 96.59%
[ Tue Sep 27 23:31:13 2022 ] Training epoch: 106
[ Tue Sep 27 23:35:31 2022 ] 	Mean training loss: 0.1273. loss2: 0.0000. Mean training acc: 96.90%.
[ Tue Sep 27 23:35:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:35:31 2022 ] Eval epoch: 106
[ Tue Sep 27 23:37:11 2022 ] 	Mean test loss of 930 batches: 0.5989130398879449.
[ Tue Sep 27 23:37:12 2022 ] 	Top1: 83.71%
[ Tue Sep 27 23:37:12 2022 ] 	Top5: 96.54%
[ Tue Sep 27 23:37:12 2022 ] Training epoch: 107
[ Tue Sep 27 23:41:30 2022 ] 	Mean training loss: 0.1235. loss2: 0.0000. Mean training acc: 97.04%.
[ Tue Sep 27 23:41:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:41:30 2022 ] Eval epoch: 107
[ Tue Sep 27 23:43:10 2022 ] 	Mean test loss of 930 batches: 0.5912270264039117.
[ Tue Sep 27 23:43:10 2022 ] 	Top1: 84.11%
[ Tue Sep 27 23:43:11 2022 ] 	Top5: 96.54%
[ Tue Sep 27 23:43:11 2022 ] Training epoch: 108
[ Tue Sep 27 23:47:28 2022 ] 	Mean training loss: 0.1214. loss2: 0.0000. Mean training acc: 97.21%.
[ Tue Sep 27 23:47:28 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:47:28 2022 ] Eval epoch: 108
[ Tue Sep 27 23:49:09 2022 ] 	Mean test loss of 930 batches: 0.5997376428456396.
[ Tue Sep 27 23:49:09 2022 ] 	Top1: 83.73%
[ Tue Sep 27 23:49:10 2022 ] 	Top5: 96.53%
[ Tue Sep 27 23:49:10 2022 ] Training epoch: 109
[ Tue Sep 27 23:52:10 2022 ] using warm up, epoch: 5
[ Tue Sep 27 23:52:37 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/cset/fc_bone_vel', 'model_saved_name': 'work_dir/ntu120/cset/fc_bone_vel/runs', 'config': 'config/nturgbd120-cross-set/fc_bone_vel.yaml', 'phase': 'train', 'save_score': False, 'joint_label': [], 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 35, 'eval_interval': 5, 'ema': False, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 48, 'train_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'train', 'debug': False, 'random_choose': False, 'random_shift': False, 'random_move': False, 'window_size': 64, 'normalization': False, 'random_rot': True, 'p_interval': [0.5, 1], 'vel': True, 'bone': True}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 120, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [7], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 64, 'test_batch_size': 64, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0004, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Tue Sep 27 23:52:37 2022 ] # Parameters: 2112877
[ Tue Sep 27 23:52:37 2022 ] Training epoch: 1
[ Tue Sep 27 23:54:25 2022 ] 	Mean training loss: 0.1151. loss2: 0.0000. Mean training acc: 97.31%.
[ Tue Sep 27 23:54:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:54:25 2022 ] Eval epoch: 109
[ Tue Sep 27 23:54:50 2022 ] using warm up, epoch: 5
[ Tue Sep 27 23:55:20 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/cset/fc_bone_vel', 'model_saved_name': 'work_dir/ntu120/cset/fc_bone_vel/runs', 'config': 'config/nturgbd120-cross-set/fc_bone_vel.yaml', 'phase': 'train', 'save_score': False, 'joint_label': [], 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 35, 'eval_interval': 5, 'ema': False, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 48, 'train_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'train', 'debug': False, 'random_choose': False, 'random_shift': False, 'random_move': False, 'window_size': 64, 'normalization': False, 'random_rot': True, 'p_interval': [0.5, 1], 'vel': True, 'bone': True}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 120, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [7], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 64, 'test_batch_size': 64, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0004, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Tue Sep 27 23:55:20 2022 ] # Parameters: 2112877
[ Tue Sep 27 23:55:20 2022 ] Training epoch: 1
[ Tue Sep 27 23:59:37 2022 ] 	Mean test loss of 930 batches: 0.6072984771222196.
[ Tue Sep 27 23:59:38 2022 ] 	Top1: 83.51%
[ Tue Sep 27 23:59:38 2022 ] 	Top5: 96.48%
[ Tue Sep 27 23:59:38 2022 ] Training epoch: 110
[ Wed Sep 28 00:05:36 2022 ] 	Mean training loss: 3.5692. loss2: 0.0000. Mean training acc: 16.26%.
[ Wed Sep 28 00:05:36 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:05:36 2022 ] Eval epoch: 1
[ Wed Sep 28 00:09:26 2022 ] 	Mean training loss: 3.5369. loss2: 0.0000. Mean training acc: 16.75%.
[ Wed Sep 28 00:09:26 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:09:26 2022 ] Eval epoch: 1
[ Wed Sep 28 00:11:28 2022 ] 	Mean test loss of 930 batches: 2.856258531667853.
[ Wed Sep 28 00:11:29 2022 ] 	Top1: 26.59%
[ Wed Sep 28 00:11:29 2022 ] 	Top5: 59.06%
[ Wed Sep 28 00:11:29 2022 ] Training epoch: 2
[ Wed Sep 28 00:13:23 2022 ] 	Mean training loss: 0.1158. loss2: 0.0000. Mean training acc: 97.30%.
[ Wed Sep 28 00:13:23 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:13:23 2022 ] Eval epoch: 110
[ Wed Sep 28 00:14:21 2022 ] using warm up, epoch: 5
[ Wed Sep 28 00:14:54 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/cset/fc_bone_vel', 'model_saved_name': 'work_dir/ntu120/cset/fc_bone_vel/runs', 'config': 'config/nturgbd120-cross-set/fc_bone_vel.yaml', 'phase': 'train', 'save_score': False, 'joint_label': [], 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 35, 'eval_interval': 5, 'ema': False, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 48, 'train_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'train', 'debug': False, 'random_choose': False, 'random_shift': False, 'random_move': False, 'window_size': 64, 'normalization': False, 'random_rot': True, 'p_interval': [0.5, 1], 'vel': True, 'bone': True}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 120, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [7], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 64, 'test_batch_size': 64, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0004, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Wed Sep 28 00:14:54 2022 ] # Parameters: 2112877
[ Wed Sep 28 00:14:54 2022 ] Training epoch: 1
[ Wed Sep 28 00:15:22 2022 ] 	Mean test loss of 930 batches: 2.6771660162556556.
[ Wed Sep 28 00:15:22 2022 ] 	Top1: 29.63%
[ Wed Sep 28 00:15:23 2022 ] 	Top5: 64.90%
[ Wed Sep 28 00:15:23 2022 ] Training epoch: 2
[ Wed Sep 28 00:20:22 2022 ] 	Mean test loss of 930 batches: 0.621814335698402.
[ Wed Sep 28 00:20:22 2022 ] 	Top1: 83.17%
[ Wed Sep 28 00:20:23 2022 ] 	Top5: 96.35%
[ Wed Sep 28 00:28:01 2022 ] Best accuracy: 0.8411486793214183
[ Wed Sep 28 00:28:01 2022 ] Epoch number: 107
[ Wed Sep 28 00:28:01 2022 ] Model name: work_dir/ntu120/cset/fc_bone_vel
[ Wed Sep 28 00:28:01 2022 ] Model total number of params: 2112877
[ Wed Sep 28 00:28:01 2022 ] Weight decay: 0.0004
[ Wed Sep 28 00:28:01 2022 ] Base LR: 0.1
[ Wed Sep 28 00:28:01 2022 ] Batch Size: 64
[ Wed Sep 28 00:28:01 2022 ] Test Batch Size: 64
[ Wed Sep 28 00:28:01 2022 ] seed: 1
[ Wed Sep 28 00:28:28 2022 ] using warm up, epoch: 5
[ Wed Sep 28 00:28:53 2022 ] 	Mean training loss: 2.2480. loss2: 0.0000. Mean training acc: 39.08%.
[ Wed Sep 28 00:28:53 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:28:53 2022 ] Eval epoch: 2
[ Wed Sep 28 00:29:01 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/cset/fc_bone_vel', 'model_saved_name': 'work_dir/ntu120/cset/fc_bone_vel/runs', 'config': 'config/nturgbd120-cross-set/fc_bone_vel.yaml', 'phase': 'train', 'save_score': False, 'joint_label': [], 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 35, 'eval_interval': 5, 'ema': False, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 48, 'train_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'train', 'debug': False, 'random_choose': False, 'random_shift': False, 'random_move': False, 'window_size': 64, 'normalization': False, 'random_rot': True, 'p_interval': [0.5, 1], 'vel': True, 'bone': True}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 120, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [7], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 64, 'test_batch_size': 64, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0004, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Wed Sep 28 00:29:01 2022 ] # Parameters: 2112877
[ Wed Sep 28 00:29:01 2022 ] Training epoch: 1
[ Wed Sep 28 00:29:42 2022 ] using warm up, epoch: 5
[ Wed Sep 28 00:32:54 2022 ] 	Mean training loss: 3.5369. loss2: 0.0000. Mean training acc: 16.75%.
[ Wed Sep 28 00:32:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:32:54 2022 ] Eval epoch: 1
[ Wed Sep 28 00:33:29 2022 ] 	Mean training loss: 2.2031. loss2: 0.0000. Mean training acc: 39.56%.
[ Wed Sep 28 00:33:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:33:29 2022 ] Eval epoch: 2
[ Wed Sep 28 00:33:46 2022 ] using warm up, epoch: 5
[ Wed Sep 28 00:34:22 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/cset/fc_bone_vel', 'model_saved_name': 'work_dir/ntu120/cset/fc_bone_vel/runs', 'config': 'config/nturgbd120-cross-set/fc_bone_vel.yaml', 'phase': 'train', 'save_score': False, 'joint_label': [], 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 35, 'eval_interval': 5, 'ema': False, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 48, 'train_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'train', 'debug': False, 'random_choose': False, 'random_shift': False, 'random_move': False, 'window_size': 64, 'normalization': False, 'random_rot': True, 'p_interval': [0.5, 1], 'vel': True, 'bone': True}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 120, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [7], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 64, 'test_batch_size': 64, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0004, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Wed Sep 28 00:34:22 2022 ] # Parameters: 2112877
[ Wed Sep 28 00:34:22 2022 ] Training epoch: 1
[ Wed Sep 28 00:36:39 2022 ] 	Mean test loss of 930 batches: 1.9590741991996765.
[ Wed Sep 28 00:36:39 2022 ] 	Top1: 44.82%
[ Wed Sep 28 00:36:40 2022 ] 	Top5: 79.71%
[ Wed Sep 28 00:36:40 2022 ] Training epoch: 3
[ Wed Sep 28 00:40:38 2022 ] 	Mean test loss of 930 batches: 2.6771660162556556.
[ Wed Sep 28 00:40:39 2022 ] 	Top1: 29.63%
[ Wed Sep 28 00:40:39 2022 ] 	Top5: 64.90%
[ Wed Sep 28 00:40:39 2022 ] Training epoch: 2
[ Wed Sep 28 00:41:16 2022 ] 	Mean test loss of 930 batches: 1.9057094424001633.
[ Wed Sep 28 00:41:16 2022 ] 	Top1: 46.50%
[ Wed Sep 28 00:41:17 2022 ] 	Top5: 81.26%
[ Wed Sep 28 00:41:17 2022 ] Training epoch: 3
[ Wed Sep 28 00:47:51 2022 ] 	Mean training loss: 3.5369. loss2: 0.0000. Mean training acc: 16.75%.
[ Wed Sep 28 00:47:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:47:51 2022 ] Eval epoch: 1
[ Wed Sep 28 00:55:36 2022 ] 	Mean training loss: 1.7260. loss2: 0.0000. Mean training acc: 50.83%.
[ Wed Sep 28 00:55:36 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:55:36 2022 ] Eval epoch: 3
[ Wed Sep 28 00:55:44 2022 ] 	Mean test loss of 930 batches: 2.6771660162556556.
[ Wed Sep 28 00:55:45 2022 ] 	Top1: 29.63%
[ Wed Sep 28 00:55:45 2022 ] 	Top5: 64.90%
[ Wed Sep 28 00:55:45 2022 ] Training epoch: 2
[ Wed Sep 28 00:58:52 2022 ] 	Mean training loss: 2.2031. loss2: 0.0000. Mean training acc: 39.56%.
[ Wed Sep 28 00:58:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:58:52 2022 ] Eval epoch: 2
[ Wed Sep 28 00:59:51 2022 ] 	Mean training loss: 1.7042. loss2: 0.0000. Mean training acc: 51.63%.
[ Wed Sep 28 00:59:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:59:51 2022 ] Eval epoch: 3
[ Wed Sep 28 01:03:22 2022 ] 	Mean test loss of 930 batches: 1.6686857223510743.
[ Wed Sep 28 01:03:23 2022 ] 	Top1: 53.28%
[ Wed Sep 28 01:03:23 2022 ] 	Top5: 84.29%
[ Wed Sep 28 01:03:24 2022 ] Training epoch: 4
[ Wed Sep 28 01:06:33 2022 ] 	Mean test loss of 930 batches: 1.9057094424001633.
[ Wed Sep 28 01:06:34 2022 ] 	Top1: 46.50%
[ Wed Sep 28 01:06:34 2022 ] 	Top5: 81.26%
[ Wed Sep 28 01:06:34 2022 ] Training epoch: 3
[ Wed Sep 28 01:07:37 2022 ] 	Mean test loss of 930 batches: 1.8339489712510058.
[ Wed Sep 28 01:07:38 2022 ] 	Top1: 50.59%
[ Wed Sep 28 01:07:38 2022 ] 	Top5: 83.44%
[ Wed Sep 28 01:07:38 2022 ] Training epoch: 4
[ Wed Sep 28 01:14:24 2022 ] 	Mean training loss: 2.2031. loss2: 0.0000. Mean training acc: 39.56%.
[ Wed Sep 28 01:14:24 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 01:14:24 2022 ] Eval epoch: 2
[ Wed Sep 28 01:22:13 2022 ] 	Mean test loss of 930 batches: 1.9057094424001633.
[ Wed Sep 28 01:22:14 2022 ] 	Top1: 46.50%
[ Wed Sep 28 01:22:14 2022 ] 	Top5: 81.26%
[ Wed Sep 28 01:22:14 2022 ] Training epoch: 3
[ Wed Sep 28 01:22:18 2022 ] 	Mean training loss: 1.4802. loss2: 0.0000. Mean training acc: 56.93%.
[ Wed Sep 28 01:22:18 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 01:22:18 2022 ] Eval epoch: 4
[ Wed Sep 28 01:24:48 2022 ] 	Mean training loss: 1.7042. loss2: 0.0000. Mean training acc: 51.63%.
[ Wed Sep 28 01:24:48 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 01:24:48 2022 ] Eval epoch: 3
[ Wed Sep 28 01:26:11 2022 ] 	Mean training loss: 1.4857. loss2: 0.0000. Mean training acc: 57.32%.
[ Wed Sep 28 01:26:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 01:26:11 2022 ] Eval epoch: 4
[ Wed Sep 28 01:30:06 2022 ] 	Mean test loss of 930 batches: 1.4393914056080643.
[ Wed Sep 28 01:30:07 2022 ] 	Top1: 57.57%
[ Wed Sep 28 01:30:07 2022 ] 	Top5: 88.16%
[ Wed Sep 28 01:30:07 2022 ] Training epoch: 5
[ Wed Sep 28 01:32:28 2022 ] 	Mean test loss of 930 batches: 1.8339489712510058.
[ Wed Sep 28 01:32:29 2022 ] 	Top1: 50.59%
[ Wed Sep 28 01:32:29 2022 ] 	Top5: 83.44%
[ Wed Sep 28 01:32:29 2022 ] Training epoch: 4
[ Wed Sep 28 01:33:58 2022 ] 	Mean test loss of 930 batches: 1.607436543062169.
[ Wed Sep 28 01:33:59 2022 ] 	Top1: 53.50%
[ Wed Sep 28 01:33:59 2022 ] 	Top5: 85.63%
[ Wed Sep 28 01:33:59 2022 ] Training epoch: 5
[ Wed Sep 28 01:40:52 2022 ] 	Mean training loss: 1.7042. loss2: 0.0000. Mean training acc: 51.63%.
[ Wed Sep 28 01:40:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 01:40:52 2022 ] Eval epoch: 3
[ Wed Sep 28 01:48:42 2022 ] 	Mean test loss of 930 batches: 1.8339489712510058.
[ Wed Sep 28 01:48:42 2022 ] 	Top1: 50.59%
[ Wed Sep 28 01:48:43 2022 ] 	Top5: 83.44%
[ Wed Sep 28 01:48:43 2022 ] Training epoch: 4
[ Wed Sep 28 01:49:03 2022 ] 	Mean training loss: 1.3663. loss2: 0.0000. Mean training acc: 60.05%.
[ Wed Sep 28 01:49:03 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 01:49:03 2022 ] Eval epoch: 5
[ Wed Sep 28 01:50:43 2022 ] 	Mean training loss: 1.4857. loss2: 0.0000. Mean training acc: 57.32%.
[ Wed Sep 28 01:50:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 01:50:43 2022 ] Eval epoch: 4
[ Wed Sep 28 01:52:33 2022 ] 	Mean training loss: 1.3802. loss2: 0.0000. Mean training acc: 59.91%.
[ Wed Sep 28 01:52:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 01:52:33 2022 ] Eval epoch: 5
[ Wed Sep 28 01:56:52 2022 ] 	Mean test loss of 930 batches: 1.4554417032708404.
[ Wed Sep 28 01:56:52 2022 ] 	Top1: 58.58%
[ Wed Sep 28 01:56:53 2022 ] 	Top5: 87.04%
[ Wed Sep 28 01:56:53 2022 ] Training epoch: 6
[ Wed Sep 28 01:58:24 2022 ] 	Mean test loss of 930 batches: 1.607436543062169.
[ Wed Sep 28 01:58:24 2022 ] 	Top1: 53.50%
[ Wed Sep 28 01:58:25 2022 ] 	Top5: 85.63%
[ Wed Sep 28 01:58:25 2022 ] Training epoch: 5
[ Wed Sep 28 02:00:20 2022 ] 	Mean test loss of 930 batches: 1.6023481701010016.
[ Wed Sep 28 02:00:20 2022 ] 	Top1: 55.03%
[ Wed Sep 28 02:00:21 2022 ] 	Top5: 83.93%
[ Wed Sep 28 02:00:21 2022 ] Training epoch: 6
