[ Tue Sep 27 11:26:17 2022 ] using warm up, epoch: 5
[ Tue Sep 27 11:29:51 2022 ] using warm up, epoch: 5
[ Tue Sep 27 11:31:11 2022 ] using warm up, epoch: 5
[ Tue Sep 27 11:31:35 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/csub/fc_joint', 'model_saved_name': 'work_dir/ntu120/csub/fc_joint/runs', 'config': 'config/nturgbd120-cross-subject/fc.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_CSub.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': False, 'bone': False}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSub.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': False, 'bone': False, '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': [0], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 64, 'test_batch_size': 128, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0004, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Tue Sep 27 11:31:35 2022 ] # Parameters: 2112877
[ Tue Sep 27 11:32:51 2022 ] using warm up, epoch: 5
[ Tue Sep 27 11:33:15 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/csub/fc_joint', 'model_saved_name': 'work_dir/ntu120/csub/fc_joint/runs', 'config': 'config/nturgbd120-cross-subject/fc.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_CSub.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': False, 'bone': False}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSub.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': False, 'bone': False, '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': [0], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 64, 'test_batch_size': 128, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0004, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Tue Sep 27 11:33:15 2022 ] # Parameters: 2112877
[ Tue Sep 27 11:33:15 2022 ] Training epoch: 1
[ Tue Sep 27 11:38:04 2022 ] 	Mean training loss: 3.0099. loss2: 0.0000. Mean training acc: 26.81%.
[ Tue Sep 27 11:38:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 11:38:04 2022 ] Eval epoch: 1
[ Tue Sep 27 12:43:35 2022 ] using warm up, epoch: 5
[ Tue Sep 27 12:44:00 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/csub/fc_joint', 'model_saved_name': 'work_dir/ntu120/csub/fc_joint/runs', 'config': 'config/nturgbd120-cross-subject/fc.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_CSub.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': False, 'bone': False}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSub.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': False, 'bone': False, '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': [0], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 64, 'test_batch_size': 128, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0004, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Tue Sep 27 12:44:00 2022 ] # Parameters: 2112877
[ Tue Sep 27 12:44:00 2022 ] Training epoch: 1
[ Tue Sep 27 12:48:49 2022 ] 	Mean training loss: 3.0307. loss2: 0.0000. Mean training acc: 26.27%.
[ Tue Sep 27 12:48:49 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 12:48:49 2022 ] Eval epoch: 1
[ Tue Sep 27 12:50:13 2022 ] 	Mean test loss of 398 batches: 2.3022637451114365.
[ Tue Sep 27 12:50:13 2022 ] 	Top1: 39.73%
[ Tue Sep 27 12:50:13 2022 ] 	Top5: 74.44%
[ Tue Sep 27 12:50:13 2022 ] Training epoch: 2
[ Tue Sep 27 12:55:04 2022 ] 	Mean training loss: 1.8418. loss2: 0.0000. Mean training acc: 48.72%.
[ Tue Sep 27 12:55:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 12:55:04 2022 ] Eval epoch: 2
[ Tue Sep 27 12:56:26 2022 ] 	Mean test loss of 398 batches: 1.718113408016799.
[ Tue Sep 27 12:56:26 2022 ] 	Top1: 51.70%
[ Tue Sep 27 12:56:27 2022 ] 	Top5: 82.37%
[ Tue Sep 27 12:56:27 2022 ] Training epoch: 3
[ Tue Sep 27 13:01:17 2022 ] 	Mean training loss: 1.4638. loss2: 0.0000. Mean training acc: 57.73%.
[ Tue Sep 27 13:01:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 13:01:17 2022 ] Eval epoch: 3
[ Tue Sep 27 13:02:39 2022 ] 	Mean test loss of 398 batches: 1.5253352102023274.
[ Tue Sep 27 13:02:40 2022 ] 	Top1: 55.62%
[ Tue Sep 27 13:02:40 2022 ] 	Top5: 85.68%
[ Tue Sep 27 13:02:40 2022 ] Training epoch: 4
[ Tue Sep 27 13:07:31 2022 ] 	Mean training loss: 1.2842. loss2: 0.0000. Mean training acc: 62.75%.
[ Tue Sep 27 13:07:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:07:31 2022 ] Eval epoch: 4
[ Tue Sep 27 13:08:54 2022 ] 	Mean test loss of 398 batches: 1.368846473382346.
[ Tue Sep 27 13:08:54 2022 ] 	Top1: 61.65%
[ Tue Sep 27 13:08:55 2022 ] 	Top5: 87.63%
[ Tue Sep 27 13:08:55 2022 ] Training epoch: 5
[ Tue Sep 27 13:13:48 2022 ] 	Mean training loss: 1.1765. loss2: 0.0000. Mean training acc: 65.33%.
[ Tue Sep 27 13:13:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:13:48 2022 ] Eval epoch: 5
[ Tue Sep 27 13:15:10 2022 ] 	Mean test loss of 398 batches: 1.362486847381496.
[ Tue Sep 27 13:15:10 2022 ] 	Top1: 59.30%
[ Tue Sep 27 13:15:11 2022 ] 	Top5: 89.22%
[ Tue Sep 27 13:15:11 2022 ] Training epoch: 6
[ Tue Sep 27 13:20:02 2022 ] 	Mean training loss: 1.0551. loss2: 0.0000. Mean training acc: 68.60%.
[ Tue Sep 27 13:20:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:20:02 2022 ] Eval epoch: 6
[ Tue Sep 27 13:21:24 2022 ] 	Mean test loss of 398 batches: 1.1891255580899704.
[ Tue Sep 27 13:21:25 2022 ] 	Top1: 65.91%
[ Tue Sep 27 13:21:25 2022 ] 	Top5: 90.27%
[ Tue Sep 27 13:21:25 2022 ] Training epoch: 7
[ Tue Sep 27 13:26:17 2022 ] 	Mean training loss: 0.9781. loss2: 0.0000. Mean training acc: 70.71%.
[ Tue Sep 27 13:26:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:26:17 2022 ] Eval epoch: 7
[ Tue Sep 27 13:27:39 2022 ] 	Mean test loss of 398 batches: 1.5684743924955626.
[ Tue Sep 27 13:27:39 2022 ] 	Top1: 58.72%
[ Tue Sep 27 13:27:40 2022 ] 	Top5: 85.86%
[ Tue Sep 27 13:27:40 2022 ] Training epoch: 8
[ Tue Sep 27 13:32:31 2022 ] 	Mean training loss: 0.9343. loss2: 0.0000. Mean training acc: 72.09%.
[ Tue Sep 27 13:32:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:32:32 2022 ] Eval epoch: 8
[ Tue Sep 27 13:33:54 2022 ] 	Mean test loss of 398 batches: 1.1921657102191867.
[ Tue Sep 27 13:33:54 2022 ] 	Top1: 64.76%
[ Tue Sep 27 13:33:55 2022 ] 	Top5: 90.94%
[ Tue Sep 27 13:33:55 2022 ] Training epoch: 9
[ Tue Sep 27 13:38:46 2022 ] 	Mean training loss: 0.8905. loss2: 0.0000. Mean training acc: 73.11%.
[ Tue Sep 27 13:38:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:38:46 2022 ] Eval epoch: 9
[ Tue Sep 27 13:40:08 2022 ] 	Mean test loss of 398 batches: 1.0262694652356095.
[ Tue Sep 27 13:40:09 2022 ] 	Top1: 69.61%
[ Tue Sep 27 13:40:09 2022 ] 	Top5: 92.66%
[ Tue Sep 27 13:40:09 2022 ] Training epoch: 10
[ Tue Sep 27 13:45:01 2022 ] 	Mean training loss: 0.8638. loss2: 0.0000. Mean training acc: 74.01%.
[ Tue Sep 27 13:45:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:45:01 2022 ] Eval epoch: 10
[ Tue Sep 27 13:46:23 2022 ] 	Mean test loss of 398 batches: 1.221009565732587.
[ Tue Sep 27 13:46:23 2022 ] 	Top1: 65.84%
[ Tue Sep 27 13:46:24 2022 ] 	Top5: 90.41%
[ Tue Sep 27 13:46:24 2022 ] Training epoch: 11
[ Tue Sep 27 13:51:15 2022 ] 	Mean training loss: 0.8340. loss2: 0.0000. Mean training acc: 74.81%.
[ Tue Sep 27 13:51:15 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:51:15 2022 ] Eval epoch: 11
[ Tue Sep 27 13:52:37 2022 ] 	Mean test loss of 398 batches: 1.1824319400080485.
[ Tue Sep 27 13:52:38 2022 ] 	Top1: 66.12%
[ Tue Sep 27 13:52:38 2022 ] 	Top5: 91.42%
[ Tue Sep 27 13:52:38 2022 ] Training epoch: 12
[ Tue Sep 27 13:57:30 2022 ] 	Mean training loss: 0.8206. loss2: 0.0000. Mean training acc: 75.25%.
[ Tue Sep 27 13:57:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:57:30 2022 ] Eval epoch: 12
[ Tue Sep 27 13:58:53 2022 ] 	Mean test loss of 398 batches: 1.2010038583422427.
[ Tue Sep 27 13:58:53 2022 ] 	Top1: 66.13%
[ Tue Sep 27 13:58:53 2022 ] 	Top5: 90.37%
[ Tue Sep 27 13:58:53 2022 ] Training epoch: 13
[ Tue Sep 27 14:03:46 2022 ] 	Mean training loss: 0.8102. loss2: 0.0000. Mean training acc: 75.27%.
[ Tue Sep 27 14:03:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 14:03:46 2022 ] Eval epoch: 13
[ Tue Sep 27 14:05:08 2022 ] 	Mean test loss of 398 batches: 1.323452421468706.
[ Tue Sep 27 14:05:08 2022 ] 	Top1: 64.22%
[ Tue Sep 27 14:05:09 2022 ] 	Top5: 90.31%
[ Tue Sep 27 14:05:09 2022 ] Training epoch: 14
[ Tue Sep 27 14:10:00 2022 ] 	Mean training loss: 0.7908. loss2: 0.0000. Mean training acc: 76.15%.
[ Tue Sep 27 14:10:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:10:00 2022 ] Eval epoch: 14
[ Tue Sep 27 14:11:23 2022 ] 	Mean test loss of 398 batches: 1.120780841489533.
[ Tue Sep 27 14:11:23 2022 ] 	Top1: 67.91%
[ Tue Sep 27 14:11:24 2022 ] 	Top5: 91.72%
[ Tue Sep 27 14:11:24 2022 ] Training epoch: 15
[ Tue Sep 27 14:16:15 2022 ] 	Mean training loss: 0.7795. loss2: 0.0000. Mean training acc: 76.44%.
[ Tue Sep 27 14:16:15 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:16:15 2022 ] Eval epoch: 15
[ Tue Sep 27 14:17:37 2022 ] 	Mean test loss of 398 batches: 1.0372018140165051.
[ Tue Sep 27 14:17:38 2022 ] 	Top1: 69.31%
[ Tue Sep 27 14:17:38 2022 ] 	Top5: 92.65%
[ Tue Sep 27 14:17:38 2022 ] Training epoch: 16
[ Tue Sep 27 14:22:30 2022 ] 	Mean training loss: 0.7710. loss2: 0.0000. Mean training acc: 76.49%.
[ Tue Sep 27 14:22:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:22:30 2022 ] Eval epoch: 16
[ Tue Sep 27 14:23:52 2022 ] 	Mean test loss of 398 batches: 1.2272481521469865.
[ Tue Sep 27 14:23:53 2022 ] 	Top1: 66.00%
[ Tue Sep 27 14:23:53 2022 ] 	Top5: 91.41%
[ Tue Sep 27 14:23:53 2022 ] Training epoch: 17
[ Tue Sep 27 14:28:45 2022 ] 	Mean training loss: 0.7563. loss2: 0.0000. Mean training acc: 76.86%.
[ Tue Sep 27 14:28:45 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 14:28:45 2022 ] Eval epoch: 17
[ Tue Sep 27 14:30:08 2022 ] 	Mean test loss of 398 batches: 0.9269154920200606.
[ Tue Sep 27 14:30:08 2022 ] 	Top1: 72.89%
[ Tue Sep 27 14:30:09 2022 ] 	Top5: 93.83%
[ Tue Sep 27 14:30:09 2022 ] Training epoch: 18
[ Tue Sep 27 14:35:01 2022 ] 	Mean training loss: 0.7458. loss2: 0.0000. Mean training acc: 77.18%.
[ Tue Sep 27 14:35:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:35:01 2022 ] Eval epoch: 18
[ Tue Sep 27 14:36:23 2022 ] 	Mean test loss of 398 batches: 1.0440462086368445.
[ Tue Sep 27 14:36:23 2022 ] 	Top1: 69.85%
[ Tue Sep 27 14:36:24 2022 ] 	Top5: 91.93%
[ Tue Sep 27 14:36:24 2022 ] Training epoch: 19
[ Tue Sep 27 14:41:16 2022 ] 	Mean training loss: 0.7468. loss2: 0.0000. Mean training acc: 77.35%.
[ Tue Sep 27 14:41:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:41:16 2022 ] Eval epoch: 19
[ Tue Sep 27 14:42:38 2022 ] 	Mean test loss of 398 batches: 1.2661718904373034.
[ Tue Sep 27 14:42:39 2022 ] 	Top1: 64.36%
[ Tue Sep 27 14:42:39 2022 ] 	Top5: 90.16%
[ Tue Sep 27 14:42:39 2022 ] Training epoch: 20
[ Tue Sep 27 14:47:31 2022 ] 	Mean training loss: 0.7376. loss2: 0.0000. Mean training acc: 77.56%.
[ Tue Sep 27 14:47:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:47:31 2022 ] Eval epoch: 20
[ Tue Sep 27 14:48:53 2022 ] 	Mean test loss of 398 batches: 1.0516005338136873.
[ Tue Sep 27 14:48:54 2022 ] 	Top1: 69.32%
[ Tue Sep 27 14:48:54 2022 ] 	Top5: 92.03%
[ Tue Sep 27 14:48:54 2022 ] Training epoch: 21
[ Tue Sep 27 14:53:46 2022 ] 	Mean training loss: 0.7359. loss2: 0.0000. Mean training acc: 77.66%.
[ Tue Sep 27 14:53:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:53:46 2022 ] Eval epoch: 21
[ Tue Sep 27 14:56:42 2022 ] 	Mean test loss of 398 batches: 1.025729481374199.
[ Tue Sep 27 14:56:42 2022 ] 	Top1: 70.31%
[ Tue Sep 27 14:56:43 2022 ] 	Top5: 92.79%
[ Tue Sep 27 14:56:43 2022 ] Training epoch: 22
[ Tue Sep 27 15:01:34 2022 ] 	Mean training loss: 0.7257. loss2: 0.0000. Mean training acc: 77.87%.
[ Tue Sep 27 15:01:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:01:34 2022 ] Eval epoch: 22
[ Tue Sep 27 15:02:57 2022 ] 	Mean test loss of 398 batches: 0.940255002085887.
[ Tue Sep 27 15:02:57 2022 ] 	Top1: 72.31%
[ Tue Sep 27 15:02:58 2022 ] 	Top5: 94.34%
[ Tue Sep 27 15:02:58 2022 ] Training epoch: 23
[ Tue Sep 27 15:07:49 2022 ] 	Mean training loss: 0.7201. loss2: 0.0000. Mean training acc: 78.09%.
[ Tue Sep 27 15:07:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:07:49 2022 ] Eval epoch: 23
[ Tue Sep 27 15:09:12 2022 ] 	Mean test loss of 398 batches: 0.9145904280732026.
[ Tue Sep 27 15:09:12 2022 ] 	Top1: 72.69%
[ Tue Sep 27 15:09:13 2022 ] 	Top5: 94.50%
[ Tue Sep 27 15:09:13 2022 ] Training epoch: 24
[ Tue Sep 27 15:14:04 2022 ] 	Mean training loss: 0.7132. loss2: 0.0000. Mean training acc: 78.19%.
[ Tue Sep 27 15:14:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:14:04 2022 ] Eval epoch: 24
[ Tue Sep 27 15:15:27 2022 ] 	Mean test loss of 398 batches: 1.0228758659494581.
[ Tue Sep 27 15:15:28 2022 ] 	Top1: 70.34%
[ Tue Sep 27 15:15:28 2022 ] 	Top5: 93.06%
[ Tue Sep 27 15:15:28 2022 ] Training epoch: 25
[ Tue Sep 27 15:20:19 2022 ] 	Mean training loss: 0.7147. loss2: 0.0000. Mean training acc: 78.24%.
[ Tue Sep 27 15:20:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:20:19 2022 ] Eval epoch: 25
[ Tue Sep 27 15:21:42 2022 ] 	Mean test loss of 398 batches: 0.9912027348974841.
[ Tue Sep 27 15:21:42 2022 ] 	Top1: 70.90%
[ Tue Sep 27 15:21:42 2022 ] 	Top5: 93.37%
[ Tue Sep 27 15:21:43 2022 ] Training epoch: 26
[ Tue Sep 27 15:26:34 2022 ] 	Mean training loss: 0.7164. loss2: 0.0000. Mean training acc: 78.12%.
[ Tue Sep 27 15:26:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:26:34 2022 ] Eval epoch: 26
[ Tue Sep 27 15:27:56 2022 ] 	Mean test loss of 398 batches: 0.9563110960488344.
[ Tue Sep 27 15:27:57 2022 ] 	Top1: 71.27%
[ Tue Sep 27 15:27:57 2022 ] 	Top5: 93.74%
[ Tue Sep 27 15:27:57 2022 ] Training epoch: 27
[ Tue Sep 27 15:32:49 2022 ] 	Mean training loss: 0.7092. loss2: 0.0000. Mean training acc: 78.34%.
[ Tue Sep 27 15:32:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:32:49 2022 ] Eval epoch: 27
[ Tue Sep 27 15:34:11 2022 ] 	Mean test loss of 398 batches: 1.1269193892952185.
[ Tue Sep 27 15:34:12 2022 ] 	Top1: 67.27%
[ Tue Sep 27 15:34:12 2022 ] 	Top5: 92.77%
[ Tue Sep 27 15:34:12 2022 ] Training epoch: 28
[ Tue Sep 27 15:39:04 2022 ] 	Mean training loss: 0.7003. loss2: 0.0000. Mean training acc: 78.53%.
[ Tue Sep 27 15:39:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:39:04 2022 ] Eval epoch: 28
[ Tue Sep 27 15:40:26 2022 ] 	Mean test loss of 398 batches: 0.9969872302895215.
[ Tue Sep 27 15:40:27 2022 ] 	Top1: 70.25%
[ Tue Sep 27 15:40:27 2022 ] 	Top5: 93.29%
[ Tue Sep 27 15:40:27 2022 ] Training epoch: 29
[ Tue Sep 27 15:45:20 2022 ] 	Mean training loss: 0.7031. loss2: 0.0000. Mean training acc: 78.38%.
[ Tue Sep 27 15:45:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:45:20 2022 ] Eval epoch: 29
[ Tue Sep 27 15:46:43 2022 ] 	Mean test loss of 398 batches: 0.9398019319053871.
[ Tue Sep 27 15:46:43 2022 ] 	Top1: 72.71%
[ Tue Sep 27 15:46:44 2022 ] 	Top5: 94.08%
[ Tue Sep 27 15:46:44 2022 ] Training epoch: 30
[ Tue Sep 27 15:51:35 2022 ] 	Mean training loss: 0.7009. loss2: 0.0000. Mean training acc: 78.54%.
[ Tue Sep 27 15:51:35 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:51:35 2022 ] Eval epoch: 30
[ Tue Sep 27 15:52:58 2022 ] 	Mean test loss of 398 batches: 0.8745401514385214.
[ Tue Sep 27 15:52:58 2022 ] 	Top1: 73.82%
[ Tue Sep 27 15:52:58 2022 ] 	Top5: 94.40%
[ Tue Sep 27 15:52:58 2022 ] Training epoch: 31
[ Tue Sep 27 15:57:50 2022 ] 	Mean training loss: 0.6984. loss2: 0.0000. Mean training acc: 78.88%.
[ Tue Sep 27 15:57:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:57:50 2022 ] Eval epoch: 31
[ Tue Sep 27 15:59:13 2022 ] 	Mean test loss of 398 batches: 1.0473969926935944.
[ Tue Sep 27 15:59:13 2022 ] 	Top1: 69.69%
[ Tue Sep 27 15:59:14 2022 ] 	Top5: 92.89%
[ Tue Sep 27 15:59:14 2022 ] Training epoch: 32
[ Tue Sep 27 16:04:05 2022 ] 	Mean training loss: 0.6951. loss2: 0.0000. Mean training acc: 78.84%.
[ Tue Sep 27 16:04:05 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:04:05 2022 ] Eval epoch: 32
[ Tue Sep 27 16:05:27 2022 ] 	Mean test loss of 398 batches: 1.1218734237566665.
[ Tue Sep 27 16:05:28 2022 ] 	Top1: 67.98%
[ Tue Sep 27 16:05:28 2022 ] 	Top5: 91.98%
[ Tue Sep 27 16:05:28 2022 ] Training epoch: 33
[ Tue Sep 27 16:10:19 2022 ] 	Mean training loss: 0.6920. loss2: 0.0000. Mean training acc: 79.00%.
[ Tue Sep 27 16:10:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:10:19 2022 ] Eval epoch: 33
[ Tue Sep 27 16:11:42 2022 ] 	Mean test loss of 398 batches: 0.9941629869254989.
[ Tue Sep 27 16:11:42 2022 ] 	Top1: 70.24%
[ Tue Sep 27 16:11:43 2022 ] 	Top5: 93.50%
[ Tue Sep 27 16:11:43 2022 ] Training epoch: 34
[ Tue Sep 27 16:16:34 2022 ] 	Mean training loss: 0.6908. loss2: 0.0000. Mean training acc: 78.82%.
[ Tue Sep 27 16:16:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:16:34 2022 ] Eval epoch: 34
[ Tue Sep 27 16:17:56 2022 ] 	Mean test loss of 398 batches: 1.0210922592548868.
[ Tue Sep 27 16:17:57 2022 ] 	Top1: 69.99%
[ Tue Sep 27 16:17:57 2022 ] 	Top5: 92.87%
[ Tue Sep 27 16:17:57 2022 ] Training epoch: 35
[ Tue Sep 27 16:22:49 2022 ] 	Mean training loss: 0.6941. loss2: 0.0000. Mean training acc: 79.01%.
[ Tue Sep 27 16:22:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:22:49 2022 ] Eval epoch: 35
[ Tue Sep 27 16:24:11 2022 ] 	Mean test loss of 398 batches: 0.949306727728652.
[ Tue Sep 27 16:24:12 2022 ] 	Top1: 71.77%
[ Tue Sep 27 16:24:12 2022 ] 	Top5: 93.77%
[ Tue Sep 27 16:24:12 2022 ] Training epoch: 36
[ Tue Sep 27 16:29:04 2022 ] 	Mean training loss: 0.6904. loss2: 0.0000. Mean training acc: 79.01%.
[ Tue Sep 27 16:29:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:29:04 2022 ] Eval epoch: 36
[ Tue Sep 27 16:30:26 2022 ] 	Mean test loss of 398 batches: 0.8577807429597606.
[ Tue Sep 27 16:30:27 2022 ] 	Top1: 73.86%
[ Tue Sep 27 16:30:27 2022 ] 	Top5: 94.63%
[ Tue Sep 27 16:30:27 2022 ] Training epoch: 37
[ Tue Sep 27 16:35:18 2022 ] 	Mean training loss: 0.6868. loss2: 0.0000. Mean training acc: 79.04%.
[ Tue Sep 27 16:35:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:35:19 2022 ] Eval epoch: 37
[ Tue Sep 27 16:36:41 2022 ] 	Mean test loss of 398 batches: 1.0334199315039956.
[ Tue Sep 27 16:36:41 2022 ] 	Top1: 70.43%
[ Tue Sep 27 16:36:42 2022 ] 	Top5: 93.20%
[ Tue Sep 27 16:36:42 2022 ] Training epoch: 38
[ Tue Sep 27 16:41:33 2022 ] 	Mean training loss: 0.6874. loss2: 0.0000. Mean training acc: 79.00%.
[ Tue Sep 27 16:41:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:41:33 2022 ] Eval epoch: 38
[ Tue Sep 27 16:42:55 2022 ] 	Mean test loss of 398 batches: 0.9592336059065919.
[ Tue Sep 27 16:42:56 2022 ] 	Top1: 72.15%
[ Tue Sep 27 16:42:56 2022 ] 	Top5: 93.70%
[ Tue Sep 27 16:42:56 2022 ] Training epoch: 39
[ Tue Sep 27 16:47:48 2022 ] 	Mean training loss: 0.6899. loss2: 0.0000. Mean training acc: 79.05%.
[ Tue Sep 27 16:47:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:47:48 2022 ] Eval epoch: 39
[ Tue Sep 27 16:49:11 2022 ] 	Mean test loss of 398 batches: 1.0481761644533532.
[ Tue Sep 27 16:49:11 2022 ] 	Top1: 70.06%
[ Tue Sep 27 16:49:11 2022 ] 	Top5: 92.39%
[ Tue Sep 27 16:49:11 2022 ] Training epoch: 40
[ Tue Sep 27 16:54:03 2022 ] 	Mean training loss: 0.6790. loss2: 0.0000. Mean training acc: 79.29%.
[ Tue Sep 27 16:54:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:54:03 2022 ] Eval epoch: 40
[ Tue Sep 27 16:55:26 2022 ] 	Mean test loss of 398 batches: 0.9166395435830457.
[ Tue Sep 27 16:55:26 2022 ] 	Top1: 73.11%
[ Tue Sep 27 16:55:27 2022 ] 	Top5: 93.88%
[ Tue Sep 27 16:55:27 2022 ] Training epoch: 41
[ Tue Sep 27 17:00:18 2022 ] 	Mean training loss: 0.6793. loss2: 0.0000. Mean training acc: 79.26%.
[ Tue Sep 27 17:00:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:00:18 2022 ] Eval epoch: 41
[ Tue Sep 27 17:01:40 2022 ] 	Mean test loss of 398 batches: 1.4781174740599627.
[ Tue Sep 27 17:01:41 2022 ] 	Top1: 60.69%
[ Tue Sep 27 17:01:41 2022 ] 	Top5: 87.02%
[ Tue Sep 27 17:01:41 2022 ] Training epoch: 42
[ Tue Sep 27 17:06:33 2022 ] 	Mean training loss: 0.6816. loss2: 0.0000. Mean training acc: 79.12%.
[ Tue Sep 27 17:06:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:06:33 2022 ] Eval epoch: 42
[ Tue Sep 27 17:07:56 2022 ] 	Mean test loss of 398 batches: 0.9261753856386971.
[ Tue Sep 27 17:07:56 2022 ] 	Top1: 72.88%
[ Tue Sep 27 17:07:56 2022 ] 	Top5: 94.18%
[ Tue Sep 27 17:07:56 2022 ] Training epoch: 43
[ Tue Sep 27 17:12:48 2022 ] 	Mean training loss: 0.6799. loss2: 0.0000. Mean training acc: 79.22%.
[ Tue Sep 27 17:12:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 17:12:48 2022 ] Eval epoch: 43
[ Tue Sep 27 17:14:11 2022 ] 	Mean test loss of 398 batches: 1.1309788178409164.
[ Tue Sep 27 17:14:12 2022 ] 	Top1: 68.12%
[ Tue Sep 27 17:14:12 2022 ] 	Top5: 92.23%
[ Tue Sep 27 17:14:12 2022 ] Training epoch: 44
[ Tue Sep 27 17:19:03 2022 ] 	Mean training loss: 0.6751. loss2: 0.0000. Mean training acc: 79.56%.
[ Tue Sep 27 17:19:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:19:03 2022 ] Eval epoch: 44
[ Tue Sep 27 17:20:26 2022 ] 	Mean test loss of 398 batches: 0.8975907279618421.
[ Tue Sep 27 17:20:26 2022 ] 	Top1: 74.07%
[ Tue Sep 27 17:20:27 2022 ] 	Top5: 94.07%
[ Tue Sep 27 17:20:27 2022 ] Training epoch: 45
[ Tue Sep 27 17:25:18 2022 ] 	Mean training loss: 0.6714. loss2: 0.0000. Mean training acc: 79.36%.
[ Tue Sep 27 17:25:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:25:18 2022 ] Eval epoch: 45
[ Tue Sep 27 17:26:41 2022 ] 	Mean test loss of 398 batches: 0.9833573092842222.
[ Tue Sep 27 17:26:41 2022 ] 	Top1: 71.70%
[ Tue Sep 27 17:26:42 2022 ] 	Top5: 92.66%
[ Tue Sep 27 17:26:42 2022 ] Training epoch: 46
[ Tue Sep 27 17:31:33 2022 ] 	Mean training loss: 0.6841. loss2: 0.0000. Mean training acc: 79.01%.
[ Tue Sep 27 17:31:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:31:33 2022 ] Eval epoch: 46
[ Tue Sep 27 17:32:55 2022 ] 	Mean test loss of 398 batches: 1.1598276278032131.
[ Tue Sep 27 17:32:56 2022 ] 	Top1: 68.27%
[ Tue Sep 27 17:32:56 2022 ] 	Top5: 91.19%
[ Tue Sep 27 17:32:56 2022 ] Training epoch: 47
[ Tue Sep 27 17:37:47 2022 ] 	Mean training loss: 0.6781. loss2: 0.0000. Mean training acc: 79.28%.
[ Tue Sep 27 17:37:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:37:48 2022 ] Eval epoch: 47
[ Tue Sep 27 17:39:10 2022 ] 	Mean test loss of 398 batches: 1.0230071209932692.
[ Tue Sep 27 17:39:11 2022 ] 	Top1: 70.85%
[ Tue Sep 27 17:39:11 2022 ] 	Top5: 92.84%
[ Tue Sep 27 17:39:11 2022 ] Training epoch: 48
[ Tue Sep 27 17:44:02 2022 ] 	Mean training loss: 0.6770. loss2: 0.0000. Mean training acc: 79.22%.
[ Tue Sep 27 17:44:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:44:03 2022 ] Eval epoch: 48
[ Tue Sep 27 17:45:25 2022 ] 	Mean test loss of 398 batches: 1.0706323573187968.
[ Tue Sep 27 17:45:26 2022 ] 	Top1: 69.33%
[ Tue Sep 27 17:45:26 2022 ] 	Top5: 92.90%
[ Tue Sep 27 17:45:26 2022 ] Training epoch: 49
[ Tue Sep 27 17:50:18 2022 ] 	Mean training loss: 0.6734. loss2: 0.0000. Mean training acc: 79.43%.
[ Tue Sep 27 17:50:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:50:18 2022 ] Eval epoch: 49
[ Tue Sep 27 17:51:40 2022 ] 	Mean test loss of 398 batches: 0.9064163491504276.
[ Tue Sep 27 17:51:41 2022 ] 	Top1: 73.06%
[ Tue Sep 27 17:51:41 2022 ] 	Top5: 93.73%
[ Tue Sep 27 17:51:41 2022 ] Training epoch: 50
[ Tue Sep 27 17:56:32 2022 ] 	Mean training loss: 0.6704. loss2: 0.0000. Mean training acc: 79.56%.
[ Tue Sep 27 17:56:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:56:33 2022 ] Eval epoch: 50
[ Tue Sep 27 17:57:55 2022 ] 	Mean test loss of 398 batches: 0.8510411808164275.
[ Tue Sep 27 17:57:56 2022 ] 	Top1: 74.90%
[ Tue Sep 27 17:57:56 2022 ] 	Top5: 94.39%
[ Tue Sep 27 17:57:56 2022 ] Training epoch: 51
[ Tue Sep 27 18:02:47 2022 ] 	Mean training loss: 0.6732. loss2: 0.0000. Mean training acc: 79.52%.
[ Tue Sep 27 18:02:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:02:47 2022 ] Eval epoch: 51
[ Tue Sep 27 18:04:10 2022 ] 	Mean test loss of 398 batches: 0.9991519526770366.
[ Tue Sep 27 18:04:10 2022 ] 	Top1: 70.54%
[ Tue Sep 27 18:04:11 2022 ] 	Top5: 93.50%
[ Tue Sep 27 18:04:11 2022 ] Training epoch: 52
[ Tue Sep 27 18:09:02 2022 ] 	Mean training loss: 0.6744. loss2: 0.0000. Mean training acc: 79.37%.
[ Tue Sep 27 18:09:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:09:02 2022 ] Eval epoch: 52
[ Tue Sep 27 18:10:24 2022 ] 	Mean test loss of 398 batches: 0.9440137400998542.
[ Tue Sep 27 18:10:25 2022 ] 	Top1: 71.95%
[ Tue Sep 27 18:10:25 2022 ] 	Top5: 93.65%
[ Tue Sep 27 18:10:25 2022 ] Training epoch: 53
[ Tue Sep 27 18:15:17 2022 ] 	Mean training loss: 0.6752. loss2: 0.0000. Mean training acc: 79.46%.
[ Tue Sep 27 18:15:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:15:17 2022 ] Eval epoch: 53
[ Tue Sep 27 18:16:39 2022 ] 	Mean test loss of 398 batches: 0.9456330572989717.
[ Tue Sep 27 18:16:40 2022 ] 	Top1: 72.31%
[ Tue Sep 27 18:16:40 2022 ] 	Top5: 94.05%
[ Tue Sep 27 18:16:40 2022 ] Training epoch: 54
[ Tue Sep 27 18:21:31 2022 ] 	Mean training loss: 0.6795. loss2: 0.0000. Mean training acc: 79.36%.
[ Tue Sep 27 18:21:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:21:31 2022 ] Eval epoch: 54
[ Tue Sep 27 18:22:54 2022 ] 	Mean test loss of 398 batches: 1.22890299004526.
[ Tue Sep 27 18:22:54 2022 ] 	Top1: 66.05%
[ Tue Sep 27 18:22:55 2022 ] 	Top5: 89.95%
[ Tue Sep 27 18:22:55 2022 ] Training epoch: 55
[ Tue Sep 27 18:27:46 2022 ] 	Mean training loss: 0.6724. loss2: 0.0000. Mean training acc: 79.50%.
[ Tue Sep 27 18:27:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:27:46 2022 ] Eval epoch: 55
[ Tue Sep 27 18:29:09 2022 ] 	Mean test loss of 398 batches: 0.8825896635426947.
[ Tue Sep 27 18:29:09 2022 ] 	Top1: 73.41%
[ Tue Sep 27 18:29:10 2022 ] 	Top5: 94.61%
[ Tue Sep 27 18:29:10 2022 ] Training epoch: 56
[ Tue Sep 27 18:34:01 2022 ] 	Mean training loss: 0.6747. loss2: 0.0000. Mean training acc: 79.26%.
[ Tue Sep 27 18:34:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:34:01 2022 ] Eval epoch: 56
[ Tue Sep 27 18:35:24 2022 ] 	Mean test loss of 398 batches: 1.6269529587659404.
[ Tue Sep 27 18:35:24 2022 ] 	Top1: 56.60%
[ Tue Sep 27 18:35:25 2022 ] 	Top5: 85.03%
[ Tue Sep 27 18:35:25 2022 ] Training epoch: 57
[ Tue Sep 27 18:40:17 2022 ] 	Mean training loss: 0.6757. loss2: 0.0000. Mean training acc: 79.36%.
[ Tue Sep 27 18:40:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:40:17 2022 ] Eval epoch: 57
[ Tue Sep 27 18:41:39 2022 ] 	Mean test loss of 398 batches: 0.9723076231815108.
[ Tue Sep 27 18:41:39 2022 ] 	Top1: 71.33%
[ Tue Sep 27 18:41:40 2022 ] 	Top5: 93.80%
[ Tue Sep 27 18:41:40 2022 ] Training epoch: 58
[ Tue Sep 27 18:46:31 2022 ] 	Mean training loss: 0.6684. loss2: 0.0000. Mean training acc: 79.57%.
[ Tue Sep 27 18:46:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:46:31 2022 ] Eval epoch: 58
[ Tue Sep 27 18:47:54 2022 ] 	Mean test loss of 398 batches: 1.020999022314896.
[ Tue Sep 27 18:47:54 2022 ] 	Top1: 70.09%
[ Tue Sep 27 18:47:55 2022 ] 	Top5: 92.73%
[ Tue Sep 27 18:47:55 2022 ] Training epoch: 59
[ Tue Sep 27 18:52:46 2022 ] 	Mean training loss: 0.6727. loss2: 0.0000. Mean training acc: 79.46%.
[ Tue Sep 27 18:52:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:52:46 2022 ] Eval epoch: 59
[ Tue Sep 27 18:54:08 2022 ] 	Mean test loss of 398 batches: 1.0099984172301077.
[ Tue Sep 27 18:54:09 2022 ] 	Top1: 70.73%
[ Tue Sep 27 18:54:09 2022 ] 	Top5: 92.80%
[ Tue Sep 27 18:54:09 2022 ] Training epoch: 60
[ Tue Sep 27 18:59:00 2022 ] 	Mean training loss: 0.6719. loss2: 0.0000. Mean training acc: 79.55%.
[ Tue Sep 27 18:59:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:59:00 2022 ] Eval epoch: 60
[ Tue Sep 27 19:00:23 2022 ] 	Mean test loss of 398 batches: 0.9837814191328221.
[ Tue Sep 27 19:00:23 2022 ] 	Top1: 70.93%
[ Tue Sep 27 19:00:24 2022 ] 	Top5: 93.24%
[ Tue Sep 27 19:00:24 2022 ] Training epoch: 61
[ Tue Sep 27 19:05:15 2022 ] 	Mean training loss: 0.6732. loss2: 0.0000. Mean training acc: 79.38%.
[ Tue Sep 27 19:05:15 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:05:15 2022 ] Eval epoch: 61
[ Tue Sep 27 19:06:38 2022 ] 	Mean test loss of 398 batches: 1.1521288467262258.
[ Tue Sep 27 19:06:38 2022 ] 	Top1: 67.42%
[ Tue Sep 27 19:06:39 2022 ] 	Top5: 91.06%
[ Tue Sep 27 19:06:39 2022 ] Training epoch: 62
[ Tue Sep 27 19:11:31 2022 ] 	Mean training loss: 0.6747. loss2: 0.0000. Mean training acc: 79.34%.
[ Tue Sep 27 19:11:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:11:31 2022 ] Eval epoch: 62
[ Tue Sep 27 19:12:53 2022 ] 	Mean test loss of 398 batches: 0.9117692300123186.
[ Tue Sep 27 19:12:54 2022 ] 	Top1: 73.21%
[ Tue Sep 27 19:12:54 2022 ] 	Top5: 94.07%
[ Tue Sep 27 19:12:54 2022 ] Training epoch: 63
[ Tue Sep 27 19:17:46 2022 ] 	Mean training loss: 0.6612. loss2: 0.0000. Mean training acc: 79.66%.
[ Tue Sep 27 19:17:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:17:46 2022 ] Eval epoch: 63
[ Tue Sep 27 19:19:09 2022 ] 	Mean test loss of 398 batches: 0.8558395034703777.
[ Tue Sep 27 19:19:09 2022 ] 	Top1: 74.59%
[ Tue Sep 27 19:19:09 2022 ] 	Top5: 95.13%
[ Tue Sep 27 19:19:09 2022 ] Training epoch: 64
[ Tue Sep 27 19:24:02 2022 ] 	Mean training loss: 0.6596. loss2: 0.0000. Mean training acc: 79.85%.
[ Tue Sep 27 19:24:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:24:03 2022 ] Eval epoch: 64
[ Tue Sep 27 19:25:25 2022 ] 	Mean test loss of 398 batches: 0.9237657023883944.
[ Tue Sep 27 19:25:26 2022 ] 	Top1: 72.25%
[ Tue Sep 27 19:25:26 2022 ] 	Top5: 94.01%
[ Tue Sep 27 19:25:26 2022 ] Training epoch: 65
[ Tue Sep 27 19:30:18 2022 ] 	Mean training loss: 0.6643. loss2: 0.0000. Mean training acc: 79.59%.
[ Tue Sep 27 19:30:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:30:18 2022 ] Eval epoch: 65
[ Tue Sep 27 19:31:40 2022 ] 	Mean test loss of 398 batches: 1.0263569355010986.
[ Tue Sep 27 19:31:41 2022 ] 	Top1: 70.74%
[ Tue Sep 27 19:31:41 2022 ] 	Top5: 93.73%
[ Tue Sep 27 19:31:41 2022 ] Training epoch: 66
[ Tue Sep 27 19:36:33 2022 ] 	Mean training loss: 0.6665. loss2: 0.0000. Mean training acc: 79.45%.
[ Tue Sep 27 19:36:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:36:33 2022 ] Eval epoch: 66
[ Tue Sep 27 19:37:55 2022 ] 	Mean test loss of 398 batches: 1.1025556176152063.
[ Tue Sep 27 19:37:56 2022 ] 	Top1: 67.68%
[ Tue Sep 27 19:37:56 2022 ] 	Top5: 91.19%
[ Tue Sep 27 19:37:56 2022 ] Training epoch: 67
[ Tue Sep 27 19:42:47 2022 ] 	Mean training loss: 0.6639. loss2: 0.0000. Mean training acc: 79.70%.
[ Tue Sep 27 19:42:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:42:48 2022 ] Eval epoch: 67
[ Tue Sep 27 19:44:10 2022 ] 	Mean test loss of 398 batches: 0.9449230031901269.
[ Tue Sep 27 19:44:10 2022 ] 	Top1: 72.00%
[ Tue Sep 27 19:44:11 2022 ] 	Top5: 93.54%
[ Tue Sep 27 19:44:11 2022 ] Training epoch: 68
[ Tue Sep 27 19:49:02 2022 ] 	Mean training loss: 0.6618. loss2: 0.0000. Mean training acc: 79.63%.
[ Tue Sep 27 19:49:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:49:02 2022 ] Eval epoch: 68
[ Tue Sep 27 19:50:25 2022 ] 	Mean test loss of 398 batches: 0.8897466630342618.
[ Tue Sep 27 19:50:25 2022 ] 	Top1: 73.50%
[ Tue Sep 27 19:50:26 2022 ] 	Top5: 94.13%
[ Tue Sep 27 19:50:26 2022 ] Training epoch: 69
[ Tue Sep 27 19:55:17 2022 ] 	Mean training loss: 0.6616. loss2: 0.0000. Mean training acc: 79.67%.
[ Tue Sep 27 19:55:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:55:17 2022 ] Eval epoch: 69
[ Tue Sep 27 19:56:40 2022 ] 	Mean test loss of 398 batches: 0.9881892137641284.
[ Tue Sep 27 19:56:40 2022 ] 	Top1: 71.59%
[ Tue Sep 27 19:56:40 2022 ] 	Top5: 93.37%
[ Tue Sep 27 19:56:40 2022 ] Training epoch: 70
[ Tue Sep 27 20:01:33 2022 ] 	Mean training loss: 0.6639. loss2: 0.0000. Mean training acc: 79.61%.
[ Tue Sep 27 20:01:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:01:33 2022 ] Eval epoch: 70
[ Tue Sep 27 20:02:55 2022 ] 	Mean test loss of 398 batches: 1.1352097515634556.
[ Tue Sep 27 20:02:56 2022 ] 	Top1: 66.99%
[ Tue Sep 27 20:02:56 2022 ] 	Top5: 91.16%
[ Tue Sep 27 20:02:56 2022 ] Training epoch: 71
[ Tue Sep 27 20:07:48 2022 ] 	Mean training loss: 0.6612. loss2: 0.0000. Mean training acc: 79.72%.
[ Tue Sep 27 20:07:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:07:48 2022 ] Eval epoch: 71
[ Tue Sep 27 20:09:10 2022 ] 	Mean test loss of 398 batches: 0.8827425107434766.
[ Tue Sep 27 20:09:11 2022 ] 	Top1: 73.41%
[ Tue Sep 27 20:09:11 2022 ] 	Top5: 93.81%
[ Tue Sep 27 20:09:11 2022 ] Training epoch: 72
[ Tue Sep 27 20:14:03 2022 ] 	Mean training loss: 0.6609. loss2: 0.0000. Mean training acc: 79.84%.
[ Tue Sep 27 20:14:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:14:03 2022 ] Eval epoch: 72
[ Tue Sep 27 20:15:25 2022 ] 	Mean test loss of 398 batches: 1.1553986051573826.
[ Tue Sep 27 20:15:26 2022 ] 	Top1: 66.80%
[ Tue Sep 27 20:15:26 2022 ] 	Top5: 91.70%
[ Tue Sep 27 20:15:26 2022 ] Training epoch: 73
[ Tue Sep 27 20:20:18 2022 ] 	Mean training loss: 0.6694. loss2: 0.0000. Mean training acc: 79.58%.
[ Tue Sep 27 20:20:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:20:18 2022 ] Eval epoch: 73
[ Tue Sep 27 20:21:40 2022 ] 	Mean test loss of 398 batches: 1.1308924335630695.
[ Tue Sep 27 20:21:41 2022 ] 	Top1: 67.42%
[ Tue Sep 27 20:21:41 2022 ] 	Top5: 90.93%
[ Tue Sep 27 20:21:41 2022 ] Training epoch: 74
[ Tue Sep 27 20:26:33 2022 ] 	Mean training loss: 0.6643. loss2: 0.0000. Mean training acc: 79.64%.
[ Tue Sep 27 20:26:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:26:33 2022 ] Eval epoch: 74
[ Tue Sep 27 20:27:55 2022 ] 	Mean test loss of 398 batches: 0.8519407888902492.
[ Tue Sep 27 20:27:56 2022 ] 	Top1: 74.86%
[ Tue Sep 27 20:27:56 2022 ] 	Top5: 94.74%
[ Tue Sep 27 20:27:56 2022 ] Training epoch: 75
[ Tue Sep 27 20:32:47 2022 ] 	Mean training loss: 0.6586. loss2: 0.0000. Mean training acc: 80.00%.
[ Tue Sep 27 20:32:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:32:47 2022 ] Eval epoch: 75
[ Tue Sep 27 20:34:10 2022 ] 	Mean test loss of 398 batches: 0.9302825131008973.
[ Tue Sep 27 20:34:10 2022 ] 	Top1: 72.64%
[ Tue Sep 27 20:34:11 2022 ] 	Top5: 93.57%
[ Tue Sep 27 20:34:11 2022 ] Training epoch: 76
[ Tue Sep 27 20:39:02 2022 ] 	Mean training loss: 0.6619. loss2: 0.0000. Mean training acc: 79.87%.
[ Tue Sep 27 20:39:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:39:02 2022 ] Eval epoch: 76
[ Tue Sep 27 20:40:24 2022 ] 	Mean test loss of 398 batches: 0.9571899421999802.
[ Tue Sep 27 20:40:25 2022 ] 	Top1: 72.13%
[ Tue Sep 27 20:40:25 2022 ] 	Top5: 93.25%
[ Tue Sep 27 20:40:25 2022 ] Training epoch: 77
[ Tue Sep 27 20:45:17 2022 ] 	Mean training loss: 0.6574. loss2: 0.0000. Mean training acc: 79.68%.
[ Tue Sep 27 20:45:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:45:17 2022 ] Eval epoch: 77
[ Tue Sep 27 20:46:39 2022 ] 	Mean test loss of 398 batches: 0.996416614133509.
[ Tue Sep 27 20:46:40 2022 ] 	Top1: 70.94%
[ Tue Sep 27 20:46:40 2022 ] 	Top5: 93.39%
[ Tue Sep 27 20:46:40 2022 ] Training epoch: 78
[ Tue Sep 27 20:51:32 2022 ] 	Mean training loss: 0.6579. loss2: 0.0000. Mean training acc: 79.96%.
[ Tue Sep 27 20:51:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:51:32 2022 ] Eval epoch: 78
[ Tue Sep 27 20:52:55 2022 ] 	Mean test loss of 398 batches: 1.021880982733851.
[ Tue Sep 27 20:52:55 2022 ] 	Top1: 70.36%
[ Tue Sep 27 20:52:55 2022 ] 	Top5: 91.73%
[ Tue Sep 27 20:52:55 2022 ] Training epoch: 79
[ Tue Sep 27 20:57:47 2022 ] 	Mean training loss: 0.6588. loss2: 0.0000. Mean training acc: 79.76%.
[ Tue Sep 27 20:57:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:57:47 2022 ] Eval epoch: 79
[ Tue Sep 27 20:59:09 2022 ] 	Mean test loss of 398 batches: 1.10177727148461.
[ Tue Sep 27 20:59:10 2022 ] 	Top1: 69.00%
[ Tue Sep 27 20:59:10 2022 ] 	Top5: 92.56%
[ Tue Sep 27 20:59:10 2022 ] Training epoch: 80
[ Tue Sep 27 21:04:02 2022 ] 	Mean training loss: 0.6561. loss2: 0.0000. Mean training acc: 80.06%.
[ Tue Sep 27 21:04:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:04:02 2022 ] Eval epoch: 80
[ Tue Sep 27 21:05:24 2022 ] 	Mean test loss of 398 batches: 0.9153556203722355.
[ Tue Sep 27 21:05:25 2022 ] 	Top1: 73.23%
[ Tue Sep 27 21:05:25 2022 ] 	Top5: 93.73%
[ Tue Sep 27 21:05:25 2022 ] Training epoch: 81
[ Tue Sep 27 21:10:16 2022 ] 	Mean training loss: 0.6595. loss2: 0.0000. Mean training acc: 79.76%.
[ Tue Sep 27 21:10:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:10:17 2022 ] Eval epoch: 81
[ Tue Sep 27 21:11:39 2022 ] 	Mean test loss of 398 batches: 1.1660884996155398.
[ Tue Sep 27 21:11:39 2022 ] 	Top1: 67.35%
[ Tue Sep 27 21:11:40 2022 ] 	Top5: 91.76%
[ Tue Sep 27 21:11:40 2022 ] Training epoch: 82
[ Tue Sep 27 21:16:31 2022 ] 	Mean training loss: 0.6602. loss2: 0.0000. Mean training acc: 79.84%.
[ Tue Sep 27 21:16:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:16:31 2022 ] Eval epoch: 82
[ Tue Sep 27 21:17:53 2022 ] 	Mean test loss of 398 batches: 1.1295707708028093.
[ Tue Sep 27 21:17:54 2022 ] 	Top1: 67.66%
[ Tue Sep 27 21:17:54 2022 ] 	Top5: 92.00%
[ Tue Sep 27 21:17:54 2022 ] Training epoch: 83
[ Tue Sep 27 21:22:45 2022 ] 	Mean training loss: 0.6619. loss2: 0.0000. Mean training acc: 79.74%.
[ Tue Sep 27 21:22:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:22:46 2022 ] Eval epoch: 83
[ Tue Sep 27 21:24:08 2022 ] 	Mean test loss of 398 batches: 1.188872855811862.
[ Tue Sep 27 21:24:08 2022 ] 	Top1: 67.34%
[ Tue Sep 27 21:24:09 2022 ] 	Top5: 89.59%
[ Tue Sep 27 21:24:09 2022 ] Training epoch: 84
[ Tue Sep 27 21:29:00 2022 ] 	Mean training loss: 0.6567. loss2: 0.0000. Mean training acc: 79.78%.
[ Tue Sep 27 21:29:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:29:00 2022 ] Eval epoch: 84
[ Tue Sep 27 21:30:23 2022 ] 	Mean test loss of 398 batches: 0.9363691419662543.
[ Tue Sep 27 21:30:23 2022 ] 	Top1: 73.05%
[ Tue Sep 27 21:30:24 2022 ] 	Top5: 93.99%
[ Tue Sep 27 21:30:24 2022 ] Training epoch: 85
[ Tue Sep 27 21:35:15 2022 ] 	Mean training loss: 0.6582. loss2: 0.0000. Mean training acc: 79.84%.
[ Tue Sep 27 21:35:15 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:35:16 2022 ] Eval epoch: 85
[ Tue Sep 27 21:36:38 2022 ] 	Mean test loss of 398 batches: 0.9083796971706889.
[ Tue Sep 27 21:36:39 2022 ] 	Top1: 73.14%
[ Tue Sep 27 21:36:39 2022 ] 	Top5: 93.96%
[ Tue Sep 27 21:36:39 2022 ] Training epoch: 86
[ Tue Sep 27 21:41:33 2022 ] 	Mean training loss: 0.6592. loss2: 0.0000. Mean training acc: 79.80%.
[ Tue Sep 27 21:41:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:41:33 2022 ] Eval epoch: 86
[ Tue Sep 27 21:42:56 2022 ] 	Mean test loss of 398 batches: 1.1290366008653114.
[ Tue Sep 27 21:42:56 2022 ] 	Top1: 68.81%
[ Tue Sep 27 21:42:57 2022 ] 	Top5: 91.57%
[ Tue Sep 27 21:42:57 2022 ] Training epoch: 87
[ Tue Sep 27 21:47:48 2022 ] 	Mean training loss: 0.6544. loss2: 0.0000. Mean training acc: 79.97%.
[ Tue Sep 27 21:47:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:47:48 2022 ] Eval epoch: 87
[ Tue Sep 27 21:49:11 2022 ] 	Mean test loss of 398 batches: 1.1192093165076558.
[ Tue Sep 27 21:49:11 2022 ] 	Top1: 67.85%
[ Tue Sep 27 21:49:12 2022 ] 	Top5: 91.48%
[ Tue Sep 27 21:49:12 2022 ] Training epoch: 88
[ Tue Sep 27 21:54:03 2022 ] 	Mean training loss: 0.6697. loss2: 0.0000. Mean training acc: 79.63%.
[ Tue Sep 27 21:54:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:54:04 2022 ] Eval epoch: 88
[ Tue Sep 27 21:55:26 2022 ] 	Mean test loss of 398 batches: 0.8655371814966202.
[ Tue Sep 27 21:55:27 2022 ] 	Top1: 73.82%
[ Tue Sep 27 21:55:27 2022 ] 	Top5: 94.71%
[ Tue Sep 27 21:55:27 2022 ] Training epoch: 89
[ Tue Sep 27 22:00:19 2022 ] 	Mean training loss: 0.6597. loss2: 0.0000. Mean training acc: 79.88%.
[ Tue Sep 27 22:00:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:00:19 2022 ] Eval epoch: 89
[ Tue Sep 27 22:01:41 2022 ] 	Mean test loss of 398 batches: 0.8464082104327092.
[ Tue Sep 27 22:01:42 2022 ] 	Top1: 74.54%
[ Tue Sep 27 22:01:42 2022 ] 	Top5: 94.50%
[ Tue Sep 27 22:01:42 2022 ] Training epoch: 90
[ Tue Sep 27 22:06:34 2022 ] 	Mean training loss: 0.6628. loss2: 0.0000. Mean training acc: 79.77%.
[ Tue Sep 27 22:06:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:06:34 2022 ] Eval epoch: 90
[ Tue Sep 27 22:07:56 2022 ] 	Mean test loss of 398 batches: 1.0864400276586639.
[ Tue Sep 27 22:07:57 2022 ] 	Top1: 68.53%
[ Tue Sep 27 22:07:57 2022 ] 	Top5: 91.66%
[ Tue Sep 27 22:07:57 2022 ] Training epoch: 91
[ Tue Sep 27 22:12:48 2022 ] 	Mean training loss: 0.3787. loss2: 0.0000. Mean training acc: 88.45%.
[ Tue Sep 27 22:12:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:12:48 2022 ] Eval epoch: 91
[ Tue Sep 27 22:14:11 2022 ] 	Mean test loss of 398 batches: 0.515872804251448.
[ Tue Sep 27 22:14:11 2022 ] 	Top1: 84.06%
[ Tue Sep 27 22:14:12 2022 ] 	Top5: 97.39%
[ Tue Sep 27 22:14:12 2022 ] Training epoch: 92
[ Tue Sep 27 22:19:03 2022 ] 	Mean training loss: 0.3029. loss2: 0.0000. Mean training acc: 90.79%.
[ Tue Sep 27 22:19:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:19:03 2022 ] Eval epoch: 92
[ Tue Sep 27 22:20:26 2022 ] 	Mean test loss of 398 batches: 0.4937683417269932.
[ Tue Sep 27 22:20:26 2022 ] 	Top1: 84.75%
[ Tue Sep 27 22:20:27 2022 ] 	Top5: 97.53%
[ Tue Sep 27 22:20:27 2022 ] Training epoch: 93
[ Tue Sep 27 22:25:18 2022 ] 	Mean training loss: 0.2679. loss2: 0.0000. Mean training acc: 91.90%.
[ Tue Sep 27 22:25:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:25:18 2022 ] Eval epoch: 93
[ Tue Sep 27 22:26:41 2022 ] 	Mean test loss of 398 batches: 0.49071457993295325.
[ Tue Sep 27 22:26:41 2022 ] 	Top1: 84.89%
[ Tue Sep 27 22:26:41 2022 ] 	Top5: 97.53%
[ Tue Sep 27 22:26:42 2022 ] Training epoch: 94
[ Tue Sep 27 22:31:33 2022 ] 	Mean training loss: 0.2486. loss2: 0.0000. Mean training acc: 92.52%.
[ Tue Sep 27 22:31:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:31:33 2022 ] Eval epoch: 94
[ Tue Sep 27 22:32:56 2022 ] 	Mean test loss of 398 batches: 0.4943452833136122.
[ Tue Sep 27 22:32:56 2022 ] 	Top1: 85.07%
[ Tue Sep 27 22:32:57 2022 ] 	Top5: 97.57%
[ Tue Sep 27 22:32:57 2022 ] Training epoch: 95
[ Tue Sep 27 22:37:48 2022 ] 	Mean training loss: 0.2325. loss2: 0.0000. Mean training acc: 93.07%.
[ Tue Sep 27 22:37:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:37:49 2022 ] Eval epoch: 95
[ Tue Sep 27 22:39:11 2022 ] 	Mean test loss of 398 batches: 0.49178724262357953.
[ Tue Sep 27 22:39:11 2022 ] 	Top1: 85.09%
[ Tue Sep 27 22:39:12 2022 ] 	Top5: 97.44%
[ Tue Sep 27 22:39:12 2022 ] Training epoch: 96
[ Tue Sep 27 22:44:03 2022 ] 	Mean training loss: 0.2183. loss2: 0.0000. Mean training acc: 93.63%.
[ Tue Sep 27 22:44:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:44:03 2022 ] Eval epoch: 96
[ Tue Sep 27 22:45:26 2022 ] 	Mean test loss of 398 batches: 0.5151718644116392.
[ Tue Sep 27 22:45:27 2022 ] 	Top1: 84.61%
[ Tue Sep 27 22:45:27 2022 ] 	Top5: 97.36%
[ Tue Sep 27 22:45:27 2022 ] Training epoch: 97
[ Tue Sep 27 22:50:18 2022 ] 	Mean training loss: 0.2080. loss2: 0.0000. Mean training acc: 93.90%.
[ Tue Sep 27 22:50:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:50:19 2022 ] Eval epoch: 97
[ Tue Sep 27 22:51:41 2022 ] 	Mean test loss of 398 batches: 0.5147961321001376.
[ Tue Sep 27 22:51:41 2022 ] 	Top1: 84.69%
[ Tue Sep 27 22:51:42 2022 ] 	Top5: 97.39%
[ Tue Sep 27 22:51:42 2022 ] Training epoch: 98
[ Tue Sep 27 22:56:33 2022 ] 	Mean training loss: 0.2009. loss2: 0.0000. Mean training acc: 94.10%.
[ Tue Sep 27 22:56:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:56:33 2022 ] Eval epoch: 98
[ Tue Sep 27 22:57:56 2022 ] 	Mean test loss of 398 batches: 0.514648286635103.
[ Tue Sep 27 22:57:56 2022 ] 	Top1: 84.76%
[ Tue Sep 27 22:57:57 2022 ] 	Top5: 97.45%
[ Tue Sep 27 22:57:57 2022 ] Training epoch: 99
[ Tue Sep 27 23:02:49 2022 ] 	Mean training loss: 0.1953. loss2: 0.0000. Mean training acc: 94.27%.
[ Tue Sep 27 23:02:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:02:49 2022 ] Eval epoch: 99
[ Tue Sep 27 23:04:11 2022 ] 	Mean test loss of 398 batches: 0.5266205263347482.
[ Tue Sep 27 23:04:12 2022 ] 	Top1: 84.26%
[ Tue Sep 27 23:04:12 2022 ] 	Top5: 97.42%
[ Tue Sep 27 23:04:12 2022 ] Training epoch: 100
[ Tue Sep 27 23:09:03 2022 ] 	Mean training loss: 0.1900. loss2: 0.0000. Mean training acc: 94.41%.
[ Tue Sep 27 23:09:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:09:03 2022 ] Eval epoch: 100
[ Tue Sep 27 23:10:26 2022 ] 	Mean test loss of 398 batches: 0.531689217304764.
[ Tue Sep 27 23:10:26 2022 ] 	Top1: 84.46%
[ Tue Sep 27 23:10:27 2022 ] 	Top5: 97.23%
[ Tue Sep 27 23:10:27 2022 ] Training epoch: 101
[ Tue Sep 27 23:15:18 2022 ] 	Mean training loss: 0.1392. loss2: 0.0000. Mean training acc: 96.37%.
[ Tue Sep 27 23:15:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:15:18 2022 ] Eval epoch: 101
[ Tue Sep 27 23:16:41 2022 ] 	Mean test loss of 398 batches: 0.4965243315202507.
[ Tue Sep 27 23:16:41 2022 ] 	Top1: 85.44%
[ Tue Sep 27 23:16:42 2022 ] 	Top5: 97.49%
[ Tue Sep 27 23:16:42 2022 ] Training epoch: 102
[ Tue Sep 27 23:21:33 2022 ] 	Mean training loss: 0.1221. loss2: 0.0000. Mean training acc: 96.97%.
[ Tue Sep 27 23:21:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:21:33 2022 ] Eval epoch: 102
[ Tue Sep 27 23:22:56 2022 ] 	Mean test loss of 398 batches: 0.49521475131787246.
[ Tue Sep 27 23:22:56 2022 ] 	Top1: 85.51%
[ Tue Sep 27 23:22:56 2022 ] 	Top5: 97.49%
[ Tue Sep 27 23:22:56 2022 ] Training epoch: 103
[ Tue Sep 27 23:27:48 2022 ] 	Mean training loss: 0.1129. loss2: 0.0000. Mean training acc: 97.25%.
[ Tue Sep 27 23:27:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:27:48 2022 ] Eval epoch: 103
[ Tue Sep 27 23:29:11 2022 ] 	Mean test loss of 398 batches: 0.4923569632497565.
[ Tue Sep 27 23:29:11 2022 ] 	Top1: 85.71%
[ Tue Sep 27 23:29:12 2022 ] 	Top5: 97.49%
[ Tue Sep 27 23:29:12 2022 ] Training epoch: 104
[ Tue Sep 27 23:34:03 2022 ] 	Mean training loss: 0.1077. loss2: 0.0000. Mean training acc: 97.46%.
[ Tue Sep 27 23:34:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:34:03 2022 ] Eval epoch: 104
[ Tue Sep 27 23:35:26 2022 ] 	Mean test loss of 398 batches: 0.5001877337956249.
[ Tue Sep 27 23:35:26 2022 ] 	Top1: 85.55%
[ Tue Sep 27 23:35:27 2022 ] 	Top5: 97.45%
[ Tue Sep 27 23:35:27 2022 ] Training epoch: 105
[ Tue Sep 27 23:40:18 2022 ] 	Mean training loss: 0.1052. loss2: 0.0000. Mean training acc: 97.56%.
[ Tue Sep 27 23:40:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:40:18 2022 ] Eval epoch: 105
[ Tue Sep 27 23:41:41 2022 ] 	Mean test loss of 398 batches: 0.5071578956766045.
[ Tue Sep 27 23:41:41 2022 ] 	Top1: 85.45%
[ Tue Sep 27 23:41:42 2022 ] 	Top5: 97.37%
[ Tue Sep 27 23:41:42 2022 ] Training epoch: 106
[ Tue Sep 27 23:46:33 2022 ] 	Mean training loss: 0.1003. loss2: 0.0000. Mean training acc: 97.68%.
[ Tue Sep 27 23:46:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:46:33 2022 ] Eval epoch: 106
[ Tue Sep 27 23:47:55 2022 ] 	Mean test loss of 398 batches: 0.5114622770541877.
[ Tue Sep 27 23:47:56 2022 ] 	Top1: 85.40%
[ Tue Sep 27 23:47:56 2022 ] 	Top5: 97.39%
[ Tue Sep 27 23:47:56 2022 ] Training epoch: 107
[ Tue Sep 27 23:52:48 2022 ] 	Mean training loss: 0.0983. loss2: 0.0000. Mean training acc: 97.75%.
[ Tue Sep 27 23:52:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:52:48 2022 ] Eval epoch: 107
[ Tue Sep 27 23:54:10 2022 ] 	Mean test loss of 398 batches: 0.5054263438112173.
[ Tue Sep 27 23:54:11 2022 ] 	Top1: 85.59%
[ Tue Sep 27 23:54:11 2022 ] 	Top5: 97.43%
[ Tue Sep 27 23:54:11 2022 ] Training epoch: 108
[ Tue Sep 27 23:59:03 2022 ] 	Mean training loss: 0.0945. loss2: 0.0000. Mean training acc: 97.86%.
[ Tue Sep 27 23:59:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:59:03 2022 ] Eval epoch: 108
[ Wed Sep 28 00:00:25 2022 ] 	Mean test loss of 398 batches: 0.5137830421085184.
[ Wed Sep 28 00:00:26 2022 ] 	Top1: 85.45%
[ Wed Sep 28 00:00:26 2022 ] 	Top5: 97.38%
[ Wed Sep 28 00:00:26 2022 ] Training epoch: 109
[ Wed Sep 28 00:05:17 2022 ] 	Mean training loss: 0.0917. loss2: 0.0000. Mean training acc: 98.06%.
[ Wed Sep 28 00:05:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:05:17 2022 ] Eval epoch: 109
[ Wed Sep 28 00:06:39 2022 ] 	Mean test loss of 398 batches: 0.5219331523169525.
[ Wed Sep 28 00:06:40 2022 ] 	Top1: 85.30%
[ Wed Sep 28 00:06:40 2022 ] 	Top5: 97.31%
[ Wed Sep 28 00:06:40 2022 ] Training epoch: 110
[ Wed Sep 28 00:11:30 2022 ] 	Mean training loss: 0.0908. loss2: 0.0000. Mean training acc: 98.08%.
[ Wed Sep 28 00:11:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:11:31 2022 ] Eval epoch: 110
[ Wed Sep 28 00:12:53 2022 ] 	Mean test loss of 398 batches: 0.5180319904644585.
[ Wed Sep 28 00:12:54 2022 ] 	Top1: 85.41%
[ Wed Sep 28 00:12:54 2022 ] 	Top5: 97.33%
[ Wed Sep 28 00:14:18 2022 ] Best accuracy: 0.8571063846501306
[ Wed Sep 28 00:14:18 2022 ] Epoch number: 103
[ Wed Sep 28 00:14:18 2022 ] Model name: work_dir/ntu120/csub/fc_joint
[ Wed Sep 28 00:14:18 2022 ] Model total number of params: 2112877
[ Wed Sep 28 00:14:18 2022 ] Weight decay: 0.0004
[ Wed Sep 28 00:14:18 2022 ] Base LR: 0.1
[ Wed Sep 28 00:14:18 2022 ] Batch Size: 64
[ Wed Sep 28 00:14:18 2022 ] Test Batch Size: 128
[ Wed Sep 28 00:14:18 2022 ] seed: 1
