[ Tue Sep 27 12:52:37 2022 ] using warm up, epoch: 5
[ Tue Sep 27 12:53:02 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/csub/fc_bone_vel', 'model_saved_name': 'work_dir/ntu120/csub/fc_bone_vel/runs', 'config': 'config/nturgbd120-cross-subject/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_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': True, 'bone': True}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSub.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': [3], '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 12:53:02 2022 ] # Parameters: 2112877
[ Tue Sep 27 12:53:02 2022 ] Training epoch: 1
[ Tue Sep 27 12:57:56 2022 ] 	Mean training loss: 3.4664. loss2: 0.0000. Mean training acc: 17.91%.
[ Tue Sep 27 12:57:56 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 12:57:56 2022 ] Eval epoch: 1
[ Tue Sep 27 12:59:22 2022 ] 	Mean test loss of 796 batches: 2.5957966360015488.
[ Tue Sep 27 12:59:23 2022 ] 	Top1: 29.48%
[ Tue Sep 27 12:59:23 2022 ] 	Top5: 63.78%
[ Tue Sep 27 12:59:23 2022 ] Training epoch: 2
[ Tue Sep 27 13:04:15 2022 ] 	Mean training loss: 2.1677. loss2: 0.0000. Mean training acc: 40.97%.
[ Tue Sep 27 13:04:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 13:04:15 2022 ] Eval epoch: 2
[ Tue Sep 27 13:05:41 2022 ] 	Mean test loss of 796 batches: 1.9512801530522916.
[ Tue Sep 27 13:05:41 2022 ] 	Top1: 44.63%
[ Tue Sep 27 13:05:42 2022 ] 	Top5: 79.07%
[ Tue Sep 27 13:05:42 2022 ] Training epoch: 3
[ Tue Sep 27 13:10:33 2022 ] 	Mean training loss: 1.6295. loss2: 0.0000. Mean training acc: 53.83%.
[ Tue Sep 27 13:10:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:10:33 2022 ] Eval epoch: 3
[ Tue Sep 27 13:11:59 2022 ] 	Mean test loss of 796 batches: 1.7317484164956827.
[ Tue Sep 27 13:11:59 2022 ] 	Top1: 50.47%
[ Tue Sep 27 13:12:00 2022 ] 	Top5: 82.66%
[ Tue Sep 27 13:12:00 2022 ] Training epoch: 4
[ Tue Sep 27 13:16:51 2022 ] 	Mean training loss: 1.4018. loss2: 0.0000. Mean training acc: 59.34%.
[ Tue Sep 27 13:16:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:16:51 2022 ] Eval epoch: 4
[ Tue Sep 27 13:18:17 2022 ] 	Mean test loss of 796 batches: 1.5514656310554724.
[ Tue Sep 27 13:18:17 2022 ] 	Top1: 54.91%
[ Tue Sep 27 13:18:18 2022 ] 	Top5: 86.05%
[ Tue Sep 27 13:18:18 2022 ] Training epoch: 5
[ Tue Sep 27 13:23:09 2022 ] 	Mean training loss: 1.2963. loss2: 0.0000. Mean training acc: 62.26%.
[ Tue Sep 27 13:23:09 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:23:09 2022 ] Eval epoch: 5
[ Tue Sep 27 13:24:35 2022 ] 	Mean test loss of 796 batches: 1.4691701623512872.
[ Tue Sep 27 13:24:35 2022 ] 	Top1: 57.07%
[ Tue Sep 27 13:24:36 2022 ] 	Top5: 87.43%
[ Tue Sep 27 13:24:36 2022 ] Training epoch: 6
[ Tue Sep 27 13:29:27 2022 ] 	Mean training loss: 1.1819. loss2: 0.0000. Mean training acc: 65.51%.
[ Tue Sep 27 13:29:27 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:29:27 2022 ] Eval epoch: 6
[ Tue Sep 27 13:30:53 2022 ] 	Mean test loss of 796 batches: 1.5145737649358098.
[ Tue Sep 27 13:30:53 2022 ] 	Top1: 56.13%
[ Tue Sep 27 13:30:54 2022 ] 	Top5: 86.73%
[ Tue Sep 27 13:30:54 2022 ] Training epoch: 7
[ Tue Sep 27 13:35:46 2022 ] 	Mean training loss: 1.1194. loss2: 0.0000. Mean training acc: 66.95%.
[ Tue Sep 27 13:35:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:35:46 2022 ] Eval epoch: 7
[ Tue Sep 27 13:37:12 2022 ] 	Mean test loss of 796 batches: 1.5322541672380725.
[ Tue Sep 27 13:37:12 2022 ] 	Top1: 55.02%
[ Tue Sep 27 13:37:13 2022 ] 	Top5: 86.95%
[ Tue Sep 27 13:37:13 2022 ] Training epoch: 8
[ Tue Sep 27 13:42:04 2022 ] 	Mean training loss: 1.0807. loss2: 0.0000. Mean training acc: 68.08%.
[ Tue Sep 27 13:42:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:42:04 2022 ] Eval epoch: 8
[ Tue Sep 27 13:43:30 2022 ] 	Mean test loss of 796 batches: 1.4773337584943627.
[ Tue Sep 27 13:43:30 2022 ] 	Top1: 58.39%
[ Tue Sep 27 13:43:31 2022 ] 	Top5: 87.18%
[ Tue Sep 27 13:43:31 2022 ] Training epoch: 9
[ Tue Sep 27 13:48:22 2022 ] 	Mean training loss: 1.0373. loss2: 0.0000. Mean training acc: 69.12%.
[ Tue Sep 27 13:48:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:48:22 2022 ] Eval epoch: 9
[ Tue Sep 27 13:49:48 2022 ] 	Mean test loss of 796 batches: 1.3072729226782094.
[ Tue Sep 27 13:49:49 2022 ] 	Top1: 63.78%
[ Tue Sep 27 13:49:49 2022 ] 	Top5: 89.08%
[ Tue Sep 27 13:49:49 2022 ] Training epoch: 10
[ Tue Sep 27 13:54:41 2022 ] 	Mean training loss: 1.0077. loss2: 0.0000. Mean training acc: 70.10%.
[ Tue Sep 27 13:54:41 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:54:41 2022 ] Eval epoch: 10
[ Tue Sep 27 13:56:06 2022 ] 	Mean test loss of 796 batches: 1.4822028447036169.
[ Tue Sep 27 13:56:07 2022 ] 	Top1: 57.81%
[ Tue Sep 27 13:56:07 2022 ] 	Top5: 86.34%
[ Tue Sep 27 13:56:07 2022 ] Training epoch: 11
[ Tue Sep 27 14:00:59 2022 ] 	Mean training loss: 0.9848. loss2: 0.0000. Mean training acc: 70.79%.
[ Tue Sep 27 14:00:59 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:00:59 2022 ] Eval epoch: 11
[ Tue Sep 27 14:02:25 2022 ] 	Mean test loss of 796 batches: 1.4782504859431904.
[ Tue Sep 27 14:02:25 2022 ] 	Top1: 58.60%
[ Tue Sep 27 14:02:26 2022 ] 	Top5: 86.70%
[ Tue Sep 27 14:02:26 2022 ] Training epoch: 12
[ Tue Sep 27 14:07:18 2022 ] 	Mean training loss: 0.9672. loss2: 0.0000. Mean training acc: 71.48%.
[ Tue Sep 27 14:07:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:07:18 2022 ] Eval epoch: 12
[ Tue Sep 27 14:08:44 2022 ] 	Mean test loss of 796 batches: 1.4954133205602516.
[ Tue Sep 27 14:08:44 2022 ] 	Top1: 58.83%
[ Tue Sep 27 14:08:45 2022 ] 	Top5: 86.56%
[ Tue Sep 27 14:08:45 2022 ] Training epoch: 13
[ Tue Sep 27 14:13:36 2022 ] 	Mean training loss: 0.9485. loss2: 0.0000. Mean training acc: 71.80%.
[ Tue Sep 27 14:13:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:13:36 2022 ] Eval epoch: 13
[ Tue Sep 27 14:15:02 2022 ] 	Mean test loss of 796 batches: 1.4361245870290689.
[ Tue Sep 27 14:15:02 2022 ] 	Top1: 60.57%
[ Tue Sep 27 14:15:03 2022 ] 	Top5: 88.58%
[ Tue Sep 27 14:15:03 2022 ] Training epoch: 14
[ Tue Sep 27 14:19:54 2022 ] 	Mean training loss: 0.9343. loss2: 0.0000. Mean training acc: 72.21%.
[ Tue Sep 27 14:19:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 14:19:54 2022 ] Eval epoch: 14
[ Tue Sep 27 14:21:20 2022 ] 	Mean test loss of 796 batches: 1.2525347494075645.
[ Tue Sep 27 14:21:20 2022 ] 	Top1: 64.31%
[ Tue Sep 27 14:21:21 2022 ] 	Top5: 89.58%
[ Tue Sep 27 14:21:21 2022 ] Training epoch: 15
[ Tue Sep 27 14:26:13 2022 ] 	Mean training loss: 0.9235. loss2: 0.0000. Mean training acc: 72.61%.
[ Tue Sep 27 14:26:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:26:13 2022 ] Eval epoch: 15
[ Tue Sep 27 14:27:39 2022 ] 	Mean test loss of 796 batches: 1.1289792785692454.
[ Tue Sep 27 14:27:39 2022 ] 	Top1: 66.25%
[ Tue Sep 27 14:27:40 2022 ] 	Top5: 91.46%
[ Tue Sep 27 14:27:40 2022 ] Training epoch: 16
[ Tue Sep 27 14:32:32 2022 ] 	Mean training loss: 0.9117. loss2: 0.0000. Mean training acc: 72.94%.
[ Tue Sep 27 14:32:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:32:32 2022 ] Eval epoch: 16
[ Tue Sep 27 14:33:58 2022 ] 	Mean test loss of 796 batches: 1.181513493646629.
[ Tue Sep 27 14:33:59 2022 ] 	Top1: 65.27%
[ Tue Sep 27 14:33:59 2022 ] 	Top5: 91.10%
[ Tue Sep 27 14:33:59 2022 ] Training epoch: 17
[ Tue Sep 27 14:38:51 2022 ] 	Mean training loss: 0.9002. loss2: 0.0000. Mean training acc: 73.29%.
[ Tue Sep 27 14:38:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:38:51 2022 ] Eval epoch: 17
[ Tue Sep 27 14:40:17 2022 ] 	Mean test loss of 796 batches: 1.260770172180243.
[ Tue Sep 27 14:40:18 2022 ] 	Top1: 64.08%
[ Tue Sep 27 14:40:18 2022 ] 	Top5: 90.35%
[ Tue Sep 27 14:40:18 2022 ] Training epoch: 18
[ Tue Sep 27 14:45:10 2022 ] 	Mean training loss: 0.8917. loss2: 0.0000. Mean training acc: 73.53%.
[ Tue Sep 27 14:45:10 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:45:10 2022 ] Eval epoch: 18
[ Tue Sep 27 14:46:36 2022 ] 	Mean test loss of 796 batches: 1.1920933119166437.
[ Tue Sep 27 14:46:36 2022 ] 	Top1: 65.46%
[ Tue Sep 27 14:46:37 2022 ] 	Top5: 91.05%
[ Tue Sep 27 14:46:37 2022 ] Training epoch: 19
[ Tue Sep 27 14:51:28 2022 ] 	Mean training loss: 0.8905. loss2: 0.0000. Mean training acc: 73.39%.
[ Tue Sep 27 14:51:28 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:51:28 2022 ] Eval epoch: 19
[ Tue Sep 27 14:52:54 2022 ] 	Mean test loss of 796 batches: 1.2704668114682538.
[ Tue Sep 27 14:52:55 2022 ] 	Top1: 64.09%
[ Tue Sep 27 14:52:55 2022 ] 	Top5: 89.82%
[ Tue Sep 27 14:52:55 2022 ] Training epoch: 20
[ Tue Sep 27 14:57:47 2022 ] 	Mean training loss: 0.8771. loss2: 0.0000. Mean training acc: 73.79%.
[ Tue Sep 27 14:57:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:57:47 2022 ] Eval epoch: 20
[ Tue Sep 27 14:59:13 2022 ] 	Mean test loss of 796 batches: 1.1783843568746168.
[ Tue Sep 27 14:59:13 2022 ] 	Top1: 66.02%
[ Tue Sep 27 14:59:14 2022 ] 	Top5: 90.83%
[ Tue Sep 27 14:59:14 2022 ] Training epoch: 21
[ Tue Sep 27 15:04:05 2022 ] 	Mean training loss: 0.8727. loss2: 0.0000. Mean training acc: 74.10%.
[ Tue Sep 27 15:04:05 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:04:05 2022 ] Eval epoch: 21
[ Tue Sep 27 15:05:31 2022 ] 	Mean test loss of 796 batches: 1.2294091739546713.
[ Tue Sep 27 15:05:32 2022 ] 	Top1: 64.33%
[ Tue Sep 27 15:05:32 2022 ] 	Top5: 90.29%
[ Tue Sep 27 15:05:32 2022 ] Training epoch: 22
[ Tue Sep 27 15:10:24 2022 ] 	Mean training loss: 0.8627. loss2: 0.0000. Mean training acc: 74.28%.
[ Tue Sep 27 15:10:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:10:24 2022 ] Eval epoch: 22
[ Tue Sep 27 15:11:50 2022 ] 	Mean test loss of 796 batches: 1.0917275521773189.
[ Tue Sep 27 15:11:50 2022 ] 	Top1: 68.04%
[ Tue Sep 27 15:11:51 2022 ] 	Top5: 91.86%
[ Tue Sep 27 15:11:51 2022 ] Training epoch: 23
[ Tue Sep 27 15:16:42 2022 ] 	Mean training loss: 0.8637. loss2: 0.0000. Mean training acc: 74.33%.
[ Tue Sep 27 15:16:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:16:42 2022 ] Eval epoch: 23
[ Tue Sep 27 15:18:08 2022 ] 	Mean test loss of 796 batches: 1.145647048463474.
[ Tue Sep 27 15:18:08 2022 ] 	Top1: 67.05%
[ Tue Sep 27 15:18:09 2022 ] 	Top5: 91.27%
[ Tue Sep 27 15:18:09 2022 ] Training epoch: 24
[ Tue Sep 27 15:23:01 2022 ] 	Mean training loss: 0.8568. loss2: 0.0000. Mean training acc: 74.50%.
[ Tue Sep 27 15:23:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:23:01 2022 ] Eval epoch: 24
[ Tue Sep 27 15:24:27 2022 ] 	Mean test loss of 796 batches: 1.2650432212643288.
[ Tue Sep 27 15:24:27 2022 ] 	Top1: 64.79%
[ Tue Sep 27 15:24:28 2022 ] 	Top5: 89.67%
[ Tue Sep 27 15:24:28 2022 ] Training epoch: 25
[ Tue Sep 27 15:29:19 2022 ] 	Mean training loss: 0.8531. loss2: 0.0000. Mean training acc: 74.77%.
[ Tue Sep 27 15:29:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:29:19 2022 ] Eval epoch: 25
[ Tue Sep 27 15:30:45 2022 ] 	Mean test loss of 796 batches: 1.0809685101723252.
[ Tue Sep 27 15:30:45 2022 ] 	Top1: 68.41%
[ Tue Sep 27 15:30:46 2022 ] 	Top5: 92.25%
[ Tue Sep 27 15:30:46 2022 ] Training epoch: 26
[ Tue Sep 27 15:35:39 2022 ] 	Mean training loss: 0.8496. loss2: 0.0000. Mean training acc: 74.68%.
[ Tue Sep 27 15:35:39 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:35:39 2022 ] Eval epoch: 26
[ Tue Sep 27 15:37:05 2022 ] 	Mean test loss of 796 batches: 1.2833541900892953.
[ Tue Sep 27 15:37:05 2022 ] 	Top1: 63.50%
[ Tue Sep 27 15:37:06 2022 ] 	Top5: 89.69%
[ Tue Sep 27 15:37:06 2022 ] Training epoch: 27
[ Tue Sep 27 15:41:57 2022 ] 	Mean training loss: 0.8512. loss2: 0.0000. Mean training acc: 74.86%.
[ Tue Sep 27 15:41:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:41:57 2022 ] Eval epoch: 27
[ Tue Sep 27 15:43:23 2022 ] 	Mean test loss of 796 batches: 1.2591061442716038.
[ Tue Sep 27 15:43:24 2022 ] 	Top1: 64.31%
[ Tue Sep 27 15:43:24 2022 ] 	Top5: 89.95%
[ Tue Sep 27 15:43:24 2022 ] Training epoch: 28
[ Tue Sep 27 15:48:16 2022 ] 	Mean training loss: 0.8469. loss2: 0.0000. Mean training acc: 74.76%.
[ Tue Sep 27 15:48:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:48:16 2022 ] Eval epoch: 28
[ Tue Sep 27 15:49:42 2022 ] 	Mean test loss of 796 batches: 1.593078484150333.
[ Tue Sep 27 15:49:42 2022 ] 	Top1: 58.10%
[ Tue Sep 27 15:49:43 2022 ] 	Top5: 84.53%
[ Tue Sep 27 15:49:43 2022 ] Training epoch: 29
[ Tue Sep 27 15:54:35 2022 ] 	Mean training loss: 0.8424. loss2: 0.0000. Mean training acc: 74.78%.
[ 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 15:56:01 2022 ] 	Mean test loss of 796 batches: 1.2649314804517444.
[ Tue Sep 27 15:56:01 2022 ] 	Top1: 64.24%
[ Tue Sep 27 15:56:01 2022 ] 	Top5: 89.50%
[ Tue Sep 27 15:56:01 2022 ] Training epoch: 30
[ Tue Sep 27 16:00:53 2022 ] 	Mean training loss: 0.8421. loss2: 0.0000. Mean training acc: 75.03%.
[ Tue Sep 27 16:00:53 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:00:53 2022 ] Eval epoch: 30
[ Tue Sep 27 16:02:19 2022 ] 	Mean test loss of 796 batches: 1.3152679201945587.
[ Tue Sep 27 16:02:20 2022 ] 	Top1: 63.85%
[ Tue Sep 27 16:02:20 2022 ] 	Top5: 89.17%
[ Tue Sep 27 16:02:20 2022 ] Training epoch: 31
[ Tue Sep 27 16:07:11 2022 ] 	Mean training loss: 0.8374. loss2: 0.0000. Mean training acc: 75.07%.
[ Tue Sep 27 16:07:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:07:11 2022 ] Eval epoch: 31
[ Tue Sep 27 16:08:37 2022 ] 	Mean test loss of 796 batches: 1.175880422694.
[ Tue Sep 27 16:08:38 2022 ] 	Top1: 65.61%
[ Tue Sep 27 16:08:38 2022 ] 	Top5: 91.37%
[ Tue Sep 27 16:08:38 2022 ] Training epoch: 32
[ Tue Sep 27 16:13:29 2022 ] 	Mean training loss: 0.8416. loss2: 0.0000. Mean training acc: 74.85%.
[ Tue Sep 27 16:13:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:13:29 2022 ] Eval epoch: 32
[ Tue Sep 27 16:14:55 2022 ] 	Mean test loss of 796 batches: 1.2062358134355977.
[ Tue Sep 27 16:14:56 2022 ] 	Top1: 65.95%
[ Tue Sep 27 16:14:56 2022 ] 	Top5: 91.10%
[ Tue Sep 27 16:14:56 2022 ] Training epoch: 33
[ Tue Sep 27 16:19:48 2022 ] 	Mean training loss: 0.8297. loss2: 0.0000. Mean training acc: 75.19%.
[ Tue Sep 27 16:19:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:19:48 2022 ] Eval epoch: 33
[ Tue Sep 27 16:21:14 2022 ] 	Mean test loss of 796 batches: 1.2458944712676594.
[ Tue Sep 27 16:21:14 2022 ] 	Top1: 64.71%
[ Tue Sep 27 16:21:15 2022 ] 	Top5: 90.21%
[ Tue Sep 27 16:21:15 2022 ] Training epoch: 34
[ Tue Sep 27 16:26:06 2022 ] 	Mean training loss: 0.8306. loss2: 0.0000. Mean training acc: 75.08%.
[ Tue Sep 27 16:26:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:26:06 2022 ] Eval epoch: 34
[ Tue Sep 27 16:27:32 2022 ] 	Mean test loss of 796 batches: 1.0634857355499987.
[ Tue Sep 27 16:27:32 2022 ] 	Top1: 69.23%
[ Tue Sep 27 16:27:33 2022 ] 	Top5: 92.23%
[ Tue Sep 27 16:27:33 2022 ] Training epoch: 35
[ Tue Sep 27 16:32:24 2022 ] 	Mean training loss: 0.8330. loss2: 0.0000. Mean training acc: 75.14%.
[ Tue Sep 27 16:32:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:32:24 2022 ] Eval epoch: 35
[ Tue Sep 27 16:33:50 2022 ] 	Mean test loss of 796 batches: 1.2891130105933952.
[ Tue Sep 27 16:33:51 2022 ] 	Top1: 64.69%
[ Tue Sep 27 16:33:51 2022 ] 	Top5: 90.62%
[ Tue Sep 27 16:33:51 2022 ] Training epoch: 36
[ Tue Sep 27 16:38:43 2022 ] 	Mean training loss: 0.8306. loss2: 0.0000. Mean training acc: 75.38%.
[ Tue Sep 27 16:38:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:38:43 2022 ] Eval epoch: 36
[ Tue Sep 27 16:40:09 2022 ] 	Mean test loss of 796 batches: 1.2141799749666122.
[ Tue Sep 27 16:40:09 2022 ] 	Top1: 66.17%
[ Tue Sep 27 16:40:10 2022 ] 	Top5: 90.24%
[ Tue Sep 27 16:40:10 2022 ] Training epoch: 37
[ Tue Sep 27 16:45:01 2022 ] 	Mean training loss: 0.8268. loss2: 0.0000. Mean training acc: 75.32%.
[ Tue Sep 27 16:45:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:45:01 2022 ] Eval epoch: 37
[ Tue Sep 27 16:46:27 2022 ] 	Mean test loss of 796 batches: 1.2560498187664766.
[ Tue Sep 27 16:46:27 2022 ] 	Top1: 64.07%
[ Tue Sep 27 16:46:28 2022 ] 	Top5: 89.71%
[ Tue Sep 27 16:46:28 2022 ] Training epoch: 38
[ Tue Sep 27 16:51:19 2022 ] 	Mean training loss: 0.8287. loss2: 0.0000. Mean training acc: 75.29%.
[ Tue Sep 27 16:51:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:51:20 2022 ] Eval epoch: 38
[ Tue Sep 27 16:52:45 2022 ] 	Mean test loss of 796 batches: 1.06607054039162.
[ Tue Sep 27 16:52:46 2022 ] 	Top1: 69.61%
[ Tue Sep 27 16:52:46 2022 ] 	Top5: 92.47%
[ Tue Sep 27 16:52:46 2022 ] Training epoch: 39
[ Tue Sep 27 16:57:38 2022 ] 	Mean training loss: 0.8285. loss2: 0.0000. Mean training acc: 75.47%.
[ Tue Sep 27 16:57:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:57:38 2022 ] Eval epoch: 39
[ Tue Sep 27 16:59:04 2022 ] 	Mean test loss of 796 batches: 1.2818010275313003.
[ Tue Sep 27 16:59:04 2022 ] 	Top1: 64.88%
[ Tue Sep 27 16:59:05 2022 ] 	Top5: 89.51%
[ Tue Sep 27 16:59:05 2022 ] Training epoch: 40
[ Tue Sep 27 17:03:57 2022 ] 	Mean training loss: 0.8265. loss2: 0.0000. Mean training acc: 75.02%.
[ Tue Sep 27 17:03:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:03:57 2022 ] Eval epoch: 40
[ Tue Sep 27 17:05:23 2022 ] 	Mean test loss of 796 batches: 1.1234803701465452.
[ Tue Sep 27 17:05:23 2022 ] 	Top1: 66.50%
[ Tue Sep 27 17:05:24 2022 ] 	Top5: 91.74%
[ Tue Sep 27 17:05:24 2022 ] Training epoch: 41
[ Tue Sep 27 17:10:16 2022 ] 	Mean training loss: 0.8236. loss2: 0.0000. Mean training acc: 75.58%.
[ Tue Sep 27 17:10:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:10:16 2022 ] Eval epoch: 41
[ Tue Sep 27 17:11:42 2022 ] 	Mean test loss of 796 batches: 1.0521300216041618.
[ Tue Sep 27 17:11:42 2022 ] 	Top1: 68.66%
[ Tue Sep 27 17:11:43 2022 ] 	Top5: 92.49%
[ Tue Sep 27 17:11:43 2022 ] Training epoch: 42
[ Tue Sep 27 17:16:34 2022 ] 	Mean training loss: 0.8270. loss2: 0.0000. Mean training acc: 75.38%.
[ Tue Sep 27 17:16:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:16:34 2022 ] Eval epoch: 42
[ Tue Sep 27 17:18:00 2022 ] 	Mean test loss of 796 batches: 1.0352321832473554.
[ Tue Sep 27 17:18:00 2022 ] 	Top1: 70.27%
[ Tue Sep 27 17:18:01 2022 ] 	Top5: 91.86%
[ Tue Sep 27 17:18:01 2022 ] Training epoch: 43
[ Tue Sep 27 17:22:53 2022 ] 	Mean training loss: 0.8176. loss2: 0.0000. Mean training acc: 75.69%.
[ Tue Sep 27 17:22:53 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:22:53 2022 ] Eval epoch: 43
[ Tue Sep 27 17:24:18 2022 ] 	Mean test loss of 796 batches: 1.121842364794645.
[ Tue Sep 27 17:24:19 2022 ] 	Top1: 67.76%
[ Tue Sep 27 17:24:19 2022 ] 	Top5: 91.48%
[ Tue Sep 27 17:24:19 2022 ] Training epoch: 44
[ Tue Sep 27 17:29:11 2022 ] 	Mean training loss: 0.8194. loss2: 0.0000. Mean training acc: 75.62%.
[ Tue Sep 27 17:29:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:29:11 2022 ] Eval epoch: 44
[ Tue Sep 27 17:30:37 2022 ] 	Mean test loss of 796 batches: 1.0785823692965448.
[ Tue Sep 27 17:30:37 2022 ] 	Top1: 68.72%
[ Tue Sep 27 17:30:37 2022 ] 	Top5: 91.68%
[ Tue Sep 27 17:30:38 2022 ] Training epoch: 45
[ Tue Sep 27 17:35:29 2022 ] 	Mean training loss: 0.8108. loss2: 0.0000. Mean training acc: 75.77%.
[ Tue Sep 27 17:35:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:35:29 2022 ] Eval epoch: 45
[ Tue Sep 27 17:36:55 2022 ] 	Mean test loss of 796 batches: 1.0594289891384354.
[ Tue Sep 27 17:36:55 2022 ] 	Top1: 69.13%
[ Tue Sep 27 17:36:56 2022 ] 	Top5: 92.03%
[ Tue Sep 27 17:36:56 2022 ] Training epoch: 46
[ Tue Sep 27 17:41:47 2022 ] 	Mean training loss: 0.8181. loss2: 0.0000. Mean training acc: 75.69%.
[ Tue Sep 27 17:41:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:41:47 2022 ] Eval epoch: 46
[ Tue Sep 27 17:43:13 2022 ] 	Mean test loss of 796 batches: 1.1633831616397479.
[ Tue Sep 27 17:43:14 2022 ] 	Top1: 66.92%
[ Tue Sep 27 17:43:14 2022 ] 	Top5: 91.45%
[ Tue Sep 27 17:43:14 2022 ] Training epoch: 47
[ Tue Sep 27 17:48:06 2022 ] 	Mean training loss: 0.8154. loss2: 0.0000. Mean training acc: 75.67%.
[ Tue Sep 27 17:48:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:48:06 2022 ] Eval epoch: 47
[ Tue Sep 27 17:49:32 2022 ] 	Mean test loss of 796 batches: 1.116871011054995.
[ Tue Sep 27 17:49:32 2022 ] 	Top1: 67.80%
[ Tue Sep 27 17:49:33 2022 ] 	Top5: 91.17%
[ Tue Sep 27 17:49:33 2022 ] Training epoch: 48
[ Tue Sep 27 17:54:25 2022 ] 	Mean training loss: 0.8125. loss2: 0.0000. Mean training acc: 75.80%.
[ Tue Sep 27 17:54:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:54:25 2022 ] Eval epoch: 48
[ Tue Sep 27 17:55:50 2022 ] 	Mean test loss of 796 batches: 1.116886965593501.
[ Tue Sep 27 17:55:51 2022 ] 	Top1: 67.00%
[ Tue Sep 27 17:55:52 2022 ] 	Top5: 91.97%
[ Tue Sep 27 17:55:52 2022 ] Training epoch: 49
[ Tue Sep 27 18:00:43 2022 ] 	Mean training loss: 0.8152. loss2: 0.0000. Mean training acc: 75.64%.
[ Tue Sep 27 18:00:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:00:43 2022 ] Eval epoch: 49
[ Tue Sep 27 18:02:09 2022 ] 	Mean test loss of 796 batches: 1.4432629917434712.
[ Tue Sep 27 18:02:10 2022 ] 	Top1: 60.65%
[ Tue Sep 27 18:02:10 2022 ] 	Top5: 88.26%
[ Tue Sep 27 18:02:10 2022 ] Training epoch: 50
[ Tue Sep 27 18:07:02 2022 ] 	Mean training loss: 0.8114. loss2: 0.0000. Mean training acc: 75.87%.
[ Tue Sep 27 18:07:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:07:02 2022 ] Eval epoch: 50
[ Tue Sep 27 18:08:28 2022 ] 	Mean test loss of 796 batches: 1.349703095965649.
[ Tue Sep 27 18:08:28 2022 ] 	Top1: 63.03%
[ Tue Sep 27 18:08:29 2022 ] 	Top5: 87.88%
[ Tue Sep 27 18:08:29 2022 ] Training epoch: 51
[ Tue Sep 27 18:13:20 2022 ] 	Mean training loss: 0.8192. loss2: 0.0000. Mean training acc: 75.66%.
[ Tue Sep 27 18:13:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:13:20 2022 ] Eval epoch: 51
[ Tue Sep 27 18:14:46 2022 ] 	Mean test loss of 796 batches: 1.2648361670087331.
[ Tue Sep 27 18:14:46 2022 ] 	Top1: 64.84%
[ Tue Sep 27 18:14:47 2022 ] 	Top5: 89.04%
[ Tue Sep 27 18:14:47 2022 ] Training epoch: 52
[ Tue Sep 27 18:19:38 2022 ] 	Mean training loss: 0.8128. loss2: 0.0000. Mean training acc: 75.84%.
[ Tue Sep 27 18:19:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:19:38 2022 ] Eval epoch: 52
[ Tue Sep 27 18:21:04 2022 ] 	Mean test loss of 796 batches: 1.1485774643981277.
[ Tue Sep 27 18:21:04 2022 ] 	Top1: 66.67%
[ Tue Sep 27 18:21:05 2022 ] 	Top5: 91.16%
[ Tue Sep 27 18:21:05 2022 ] Training epoch: 53
[ Tue Sep 27 18:25:56 2022 ] 	Mean training loss: 0.8065. loss2: 0.0000. Mean training acc: 75.93%.
[ Tue Sep 27 18:25:56 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:25:56 2022 ] Eval epoch: 53
[ Tue Sep 27 18:27:22 2022 ] 	Mean test loss of 796 batches: 1.0673785990281919.
[ Tue Sep 27 18:27:23 2022 ] 	Top1: 68.43%
[ Tue Sep 27 18:27:23 2022 ] 	Top5: 92.10%
[ Tue Sep 27 18:27:23 2022 ] Training epoch: 54
[ Tue Sep 27 18:32:15 2022 ] 	Mean training loss: 0.8058. loss2: 0.0000. Mean training acc: 75.99%.
[ Tue Sep 27 18:32:15 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:32:16 2022 ] Eval epoch: 54
[ Tue Sep 27 18:33:41 2022 ] 	Mean test loss of 796 batches: 1.0035435488475628.
[ Tue Sep 27 18:33:42 2022 ] 	Top1: 70.27%
[ Tue Sep 27 18:33:42 2022 ] 	Top5: 93.09%
[ Tue Sep 27 18:33:42 2022 ] Training epoch: 55
[ Tue Sep 27 18:38:34 2022 ] 	Mean training loss: 0.8032. loss2: 0.0000. Mean training acc: 75.84%.
[ Tue Sep 27 18:38:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:38:34 2022 ] Eval epoch: 55
[ Tue Sep 27 18:40:00 2022 ] 	Mean test loss of 796 batches: 1.4837512987567552.
[ Tue Sep 27 18:40:01 2022 ] 	Top1: 59.53%
[ Tue Sep 27 18:40:01 2022 ] 	Top5: 85.93%
[ Tue Sep 27 18:40:01 2022 ] Training epoch: 56
[ Tue Sep 27 18:44:53 2022 ] 	Mean training loss: 0.8084. loss2: 0.0000. Mean training acc: 75.97%.
[ Tue Sep 27 18:44:53 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:44:53 2022 ] Eval epoch: 56
[ Tue Sep 27 18:46:19 2022 ] 	Mean test loss of 796 batches: 1.2080442271939473.
[ Tue Sep 27 18:46:19 2022 ] 	Top1: 65.12%
[ Tue Sep 27 18:46:20 2022 ] 	Top5: 90.96%
[ Tue Sep 27 18:46:20 2022 ] Training epoch: 57
[ Tue Sep 27 18:51:11 2022 ] 	Mean training loss: 0.8094. loss2: 0.0000. Mean training acc: 75.81%.
[ Tue Sep 27 18:51:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:51:11 2022 ] Eval epoch: 57
[ Tue Sep 27 18:52:37 2022 ] 	Mean test loss of 796 batches: 1.0683760537424278.
[ Tue Sep 27 18:52:37 2022 ] 	Top1: 68.49%
[ Tue Sep 27 18:52:38 2022 ] 	Top5: 92.25%
[ Tue Sep 27 18:52:38 2022 ] Training epoch: 58
[ Tue Sep 27 18:57:29 2022 ] 	Mean training loss: 0.8045. loss2: 0.0000. Mean training acc: 75.86%.
[ Tue Sep 27 18:57:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:57:30 2022 ] Eval epoch: 58
[ Tue Sep 27 18:58:56 2022 ] 	Mean test loss of 796 batches: 1.1124052048178774.
[ Tue Sep 27 18:58:56 2022 ] 	Top1: 67.64%
[ Tue Sep 27 18:58:56 2022 ] 	Top5: 92.00%
[ Tue Sep 27 18:58:57 2022 ] Training epoch: 59
[ Tue Sep 27 19:03:48 2022 ] 	Mean training loss: 0.8106. loss2: 0.0000. Mean training acc: 75.80%.
[ Tue Sep 27 19:03:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:03:48 2022 ] Eval epoch: 59
[ Tue Sep 27 19:05:14 2022 ] 	Mean test loss of 796 batches: 1.3280908159499791.
[ Tue Sep 27 19:05:14 2022 ] 	Top1: 63.73%
[ Tue Sep 27 19:05:15 2022 ] 	Top5: 88.52%
[ Tue Sep 27 19:05:15 2022 ] Training epoch: 60
[ Tue Sep 27 19:10:07 2022 ] 	Mean training loss: 0.8071. loss2: 0.0000. Mean training acc: 75.92%.
[ Tue Sep 27 19:10:07 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:10:07 2022 ] Eval epoch: 60
[ Tue Sep 27 19:11:33 2022 ] 	Mean test loss of 796 batches: 1.1750703388123056.
[ Tue Sep 27 19:11:34 2022 ] 	Top1: 66.28%
[ Tue Sep 27 19:11:34 2022 ] 	Top5: 91.21%
[ Tue Sep 27 19:11:34 2022 ] Training epoch: 61
[ Tue Sep 27 19:16:26 2022 ] 	Mean training loss: 0.8067. loss2: 0.0000. Mean training acc: 75.91%.
[ Tue Sep 27 19:16:26 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:16:26 2022 ] Eval epoch: 61
[ Tue Sep 27 19:17:52 2022 ] 	Mean test loss of 796 batches: 1.2274042867760562.
[ Tue Sep 27 19:17:52 2022 ] 	Top1: 65.10%
[ Tue Sep 27 19:17:52 2022 ] 	Top5: 90.96%
[ Tue Sep 27 19:17:53 2022 ] Training epoch: 62
[ Tue Sep 27 19:22:44 2022 ] 	Mean training loss: 0.8113. loss2: 0.0000. Mean training acc: 75.68%.
[ Tue Sep 27 19:22:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:22:44 2022 ] Eval epoch: 62
[ Tue Sep 27 19:24:10 2022 ] 	Mean test loss of 796 batches: 1.0710152951841378.
[ Tue Sep 27 19:24:11 2022 ] 	Top1: 68.52%
[ Tue Sep 27 19:24:11 2022 ] 	Top5: 91.93%
[ Tue Sep 27 19:24:11 2022 ] Training epoch: 63
[ Tue Sep 27 19:29:03 2022 ] 	Mean training loss: 0.8019. loss2: 0.0000. Mean training acc: 76.04%.
[ Tue Sep 27 19:29:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:29:03 2022 ] Eval epoch: 63
[ Tue Sep 27 19:30:28 2022 ] 	Mean test loss of 796 batches: 1.128768872600704.
[ Tue Sep 27 19:30:29 2022 ] 	Top1: 67.16%
[ Tue Sep 27 19:30:29 2022 ] 	Top5: 92.16%
[ Tue Sep 27 19:30:29 2022 ] Training epoch: 64
[ Tue Sep 27 19:35:21 2022 ] 	Mean training loss: 0.8009. loss2: 0.0000. Mean training acc: 75.81%.
[ Tue Sep 27 19:35:21 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:35:21 2022 ] Eval epoch: 64
[ Tue Sep 27 19:36:47 2022 ] 	Mean test loss of 796 batches: 1.0731417725059256.
[ Tue Sep 27 19:36:48 2022 ] 	Top1: 68.87%
[ Tue Sep 27 19:36:48 2022 ] 	Top5: 92.22%
[ Tue Sep 27 19:36:48 2022 ] Training epoch: 65
[ Tue Sep 27 19:41:40 2022 ] 	Mean training loss: 0.8042. loss2: 0.0000. Mean training acc: 76.07%.
[ Tue Sep 27 19:41:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:41:40 2022 ] Eval epoch: 65
[ Tue Sep 27 19:43:06 2022 ] 	Mean test loss of 796 batches: 1.1275615805582186.
[ Tue Sep 27 19:43:06 2022 ] 	Top1: 68.42%
[ Tue Sep 27 19:43:07 2022 ] 	Top5: 91.73%
[ Tue Sep 27 19:43:07 2022 ] Training epoch: 66
[ Tue Sep 27 19:47:58 2022 ] 	Mean training loss: 0.8016. loss2: 0.0000. Mean training acc: 76.05%.
[ Tue Sep 27 19:47:58 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:47:59 2022 ] Eval epoch: 66
[ Tue Sep 27 19:49:24 2022 ] 	Mean test loss of 796 batches: 1.0663750332092221.
[ Tue Sep 27 19:49:25 2022 ] 	Top1: 69.10%
[ Tue Sep 27 19:49:25 2022 ] 	Top5: 91.87%
[ Tue Sep 27 19:49:25 2022 ] Training epoch: 67
[ Tue Sep 27 19:54:17 2022 ] 	Mean training loss: 0.8069. loss2: 0.0000. Mean training acc: 75.80%.
[ Tue Sep 27 19:54:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:54:17 2022 ] Eval epoch: 67
[ Tue Sep 27 19:55:43 2022 ] 	Mean test loss of 796 batches: 1.3146481496380202.
[ Tue Sep 27 19:55:43 2022 ] 	Top1: 63.63%
[ Tue Sep 27 19:55:44 2022 ] 	Top5: 88.74%
[ Tue Sep 27 19:55:44 2022 ] Training epoch: 68
[ Tue Sep 27 20:00:36 2022 ] 	Mean training loss: 0.8058. loss2: 0.0000. Mean training acc: 75.91%.
[ Tue Sep 27 20:00:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:00:36 2022 ] Eval epoch: 68
[ Tue Sep 27 20:02:02 2022 ] 	Mean test loss of 796 batches: 1.083151930091369.
[ Tue Sep 27 20:02:02 2022 ] 	Top1: 68.61%
[ Tue Sep 27 20:02:03 2022 ] 	Top5: 91.92%
[ Tue Sep 27 20:02:03 2022 ] Training epoch: 69
[ Tue Sep 27 20:06:54 2022 ] 	Mean training loss: 0.8073. loss2: 0.0000. Mean training acc: 75.88%.
[ Tue Sep 27 20:06:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:06:54 2022 ] Eval epoch: 69
[ Tue Sep 27 20:08:20 2022 ] 	Mean test loss of 796 batches: 1.010674445098968.
[ Tue Sep 27 20:08:20 2022 ] 	Top1: 70.39%
[ Tue Sep 27 20:08:21 2022 ] 	Top5: 92.38%
[ Tue Sep 27 20:08:21 2022 ] Training epoch: 70
[ Tue Sep 27 20:13:12 2022 ] 	Mean training loss: 0.8098. loss2: 0.0000. Mean training acc: 75.78%.
[ Tue Sep 27 20:13:12 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:13:12 2022 ] Eval epoch: 70
[ Tue Sep 27 20:14:38 2022 ] 	Mean test loss of 796 batches: 1.1546579526372291.
[ Tue Sep 27 20:14:39 2022 ] 	Top1: 66.85%
[ Tue Sep 27 20:14:39 2022 ] 	Top5: 91.80%
[ Tue Sep 27 20:14:39 2022 ] Training epoch: 71
[ Tue Sep 27 20:19:31 2022 ] 	Mean training loss: 0.8035. loss2: 0.0000. Mean training acc: 75.92%.
[ Tue Sep 27 20:19:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:19:31 2022 ] Eval epoch: 71
[ Tue Sep 27 20:20:57 2022 ] 	Mean test loss of 796 batches: 1.0016047579035088.
[ Tue Sep 27 20:20:57 2022 ] 	Top1: 69.93%
[ Tue Sep 27 20:20:58 2022 ] 	Top5: 92.64%
[ Tue Sep 27 20:20:58 2022 ] Training epoch: 72
[ Tue Sep 27 20:25:50 2022 ] 	Mean training loss: 0.8013. loss2: 0.0000. Mean training acc: 76.06%.
[ Tue Sep 27 20:25:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:25:50 2022 ] Eval epoch: 72
[ Tue Sep 27 20:27:15 2022 ] 	Mean test loss of 796 batches: 1.2413011426527296.
[ Tue Sep 27 20:27:16 2022 ] 	Top1: 65.36%
[ Tue Sep 27 20:27:16 2022 ] 	Top5: 90.75%
[ Tue Sep 27 20:27:16 2022 ] Training epoch: 73
[ Tue Sep 27 20:32:08 2022 ] 	Mean training loss: 0.8097. loss2: 0.0000. Mean training acc: 75.89%.
[ Tue Sep 27 20:32:08 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:32:08 2022 ] Eval epoch: 73
[ Tue Sep 27 20:33:34 2022 ] 	Mean test loss of 796 batches: 1.0245112742685794.
[ Tue Sep 27 20:33:34 2022 ] 	Top1: 69.85%
[ Tue Sep 27 20:33:35 2022 ] 	Top5: 92.41%
[ Tue Sep 27 20:33:35 2022 ] Training epoch: 74
[ Tue Sep 27 20:38:26 2022 ] 	Mean training loss: 0.8041. loss2: 0.0000. Mean training acc: 76.00%.
[ Tue Sep 27 20:38:26 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:38:26 2022 ] Eval epoch: 74
[ Tue Sep 27 20:39:52 2022 ] 	Mean test loss of 796 batches: 1.0710757235111903.
[ Tue Sep 27 20:39:53 2022 ] 	Top1: 68.34%
[ Tue Sep 27 20:39:53 2022 ] 	Top5: 92.44%
[ Tue Sep 27 20:39:53 2022 ] Training epoch: 75
[ Tue Sep 27 20:44:45 2022 ] 	Mean training loss: 0.7992. loss2: 0.0000. Mean training acc: 76.11%.
[ Tue Sep 27 20:44:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:44:45 2022 ] Eval epoch: 75
[ Tue Sep 27 20:46:11 2022 ] 	Mean test loss of 796 batches: 1.2621360306239606.
[ Tue Sep 27 20:46:11 2022 ] 	Top1: 65.09%
[ Tue Sep 27 20:46:12 2022 ] 	Top5: 88.48%
[ Tue Sep 27 20:46:12 2022 ] Training epoch: 76
[ Tue Sep 27 20:51:03 2022 ] 	Mean training loss: 0.8050. loss2: 0.0000. Mean training acc: 75.90%.
[ Tue Sep 27 20:51:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:51:03 2022 ] Eval epoch: 76
[ Tue Sep 27 20:52:29 2022 ] 	Mean test loss of 796 batches: 1.1763808743363648.
[ Tue Sep 27 20:52:30 2022 ] 	Top1: 66.80%
[ Tue Sep 27 20:52:30 2022 ] 	Top5: 90.76%
[ Tue Sep 27 20:52:30 2022 ] Training epoch: 77
[ Tue Sep 27 20:57:22 2022 ] 	Mean training loss: 0.8055. loss2: 0.0000. Mean training acc: 75.91%.
[ Tue Sep 27 20:57:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:57:22 2022 ] Eval epoch: 77
[ Tue Sep 27 20:58:48 2022 ] 	Mean test loss of 796 batches: 1.2205890628261182.
[ Tue Sep 27 20:58:48 2022 ] 	Top1: 65.94%
[ Tue Sep 27 20:58:49 2022 ] 	Top5: 89.96%
[ Tue Sep 27 20:58:49 2022 ] Training epoch: 78
[ Tue Sep 27 21:03:40 2022 ] 	Mean training loss: 0.8018. loss2: 0.0000. Mean training acc: 75.89%.
[ Tue Sep 27 21:03:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:03:40 2022 ] Eval epoch: 78
[ Tue Sep 27 21:05:06 2022 ] 	Mean test loss of 796 batches: 1.3067744913787098.
[ Tue Sep 27 21:05:07 2022 ] 	Top1: 62.96%
[ Tue Sep 27 21:05:07 2022 ] 	Top5: 89.73%
[ Tue Sep 27 21:05:07 2022 ] Training epoch: 79
[ Tue Sep 27 21:09:59 2022 ] 	Mean training loss: 0.8024. loss2: 0.0000. Mean training acc: 76.08%.
[ Tue Sep 27 21:09:59 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:09:59 2022 ] Eval epoch: 79
[ Tue Sep 27 21:11:25 2022 ] 	Mean test loss of 796 batches: 1.142801410588787.
[ Tue Sep 27 21:11:25 2022 ] 	Top1: 66.23%
[ Tue Sep 27 21:11:25 2022 ] 	Top5: 91.74%
[ Tue Sep 27 21:11:25 2022 ] Training epoch: 80
[ Tue Sep 27 21:16:17 2022 ] 	Mean training loss: 0.8005. loss2: 0.0000. Mean training acc: 75.94%.
[ Tue Sep 27 21:16:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:16:17 2022 ] Eval epoch: 80
[ Tue Sep 27 21:17:43 2022 ] 	Mean test loss of 796 batches: 1.0663338076304552.
[ Tue Sep 27 21:17:43 2022 ] 	Top1: 68.17%
[ Tue Sep 27 21:17:44 2022 ] 	Top5: 92.14%
[ Tue Sep 27 21:17:44 2022 ] Training epoch: 81
[ Tue Sep 27 21:22:36 2022 ] 	Mean training loss: 0.8026. loss2: 0.0000. Mean training acc: 76.17%.
[ Tue Sep 27 21:22:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:22:36 2022 ] Eval epoch: 81
[ Tue Sep 27 21:24:02 2022 ] 	Mean test loss of 796 batches: 1.2217097223254305.
[ Tue Sep 27 21:24:02 2022 ] 	Top1: 64.95%
[ Tue Sep 27 21:24:03 2022 ] 	Top5: 90.37%
[ Tue Sep 27 21:24:03 2022 ] Training epoch: 82
[ Tue Sep 27 21:28:54 2022 ] 	Mean training loss: 0.8004. loss2: 0.0000. Mean training acc: 76.01%.
[ Tue Sep 27 21:28:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:28:54 2022 ] Eval epoch: 82
[ Tue Sep 27 21:30:20 2022 ] 	Mean test loss of 796 batches: 1.1040677628175697.
[ Tue Sep 27 21:30:21 2022 ] 	Top1: 67.71%
[ Tue Sep 27 21:30:21 2022 ] 	Top5: 91.20%
[ Tue Sep 27 21:30:21 2022 ] Training epoch: 83
[ Tue Sep 27 21:35:13 2022 ] 	Mean training loss: 0.8036. loss2: 0.0000. Mean training acc: 75.89%.
[ Tue Sep 27 21:35:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:35:13 2022 ] Eval epoch: 83
[ Tue Sep 27 21:36:39 2022 ] 	Mean test loss of 796 batches: 1.1090356986127308.
[ Tue Sep 27 21:36:40 2022 ] 	Top1: 68.00%
[ Tue Sep 27 21:36:40 2022 ] 	Top5: 91.98%
[ Tue Sep 27 21:36:40 2022 ] Training epoch: 84
[ Tue Sep 27 21:41:33 2022 ] 	Mean training loss: 0.8039. loss2: 0.0000. Mean training acc: 76.04%.
[ Tue Sep 27 21:41:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:41:33 2022 ] Eval epoch: 84
[ Tue Sep 27 21:42:59 2022 ] 	Mean test loss of 796 batches: 1.0882448892871939.
[ Tue Sep 27 21:42:59 2022 ] 	Top1: 68.41%
[ Tue Sep 27 21:43:00 2022 ] 	Top5: 91.78%
[ Tue Sep 27 21:43:00 2022 ] Training epoch: 85
[ Tue Sep 27 21:47:51 2022 ] 	Mean training loss: 0.7957. loss2: 0.0000. Mean training acc: 76.19%.
[ Tue Sep 27 21:47:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:47:52 2022 ] Eval epoch: 85
[ Tue Sep 27 21:49:18 2022 ] 	Mean test loss of 796 batches: 1.3917358382113616.
[ Tue Sep 27 21:49:18 2022 ] 	Top1: 61.04%
[ Tue Sep 27 21:49:19 2022 ] 	Top5: 88.17%
[ Tue Sep 27 21:49:19 2022 ] Training epoch: 86
[ Tue Sep 27 21:54:10 2022 ] 	Mean training loss: 0.8012. loss2: 0.0000. Mean training acc: 75.97%.
[ Tue Sep 27 21:54:10 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:54:10 2022 ] Eval epoch: 86
[ Tue Sep 27 21:55:36 2022 ] 	Mean test loss of 796 batches: 1.0425691943072795.
[ Tue Sep 27 21:55:36 2022 ] 	Top1: 69.09%
[ Tue Sep 27 21:55:37 2022 ] 	Top5: 92.35%
[ Tue Sep 27 21:55:37 2022 ] Training epoch: 87
[ Tue Sep 27 22:00:28 2022 ] 	Mean training loss: 0.8019. loss2: 0.0000. Mean training acc: 75.92%.
[ Tue Sep 27 22:00:28 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:00:28 2022 ] Eval epoch: 87
[ Tue Sep 27 22:01:54 2022 ] 	Mean test loss of 796 batches: 1.2282528154664303.
[ Tue Sep 27 22:01:55 2022 ] 	Top1: 65.52%
[ Tue Sep 27 22:01:55 2022 ] 	Top5: 89.18%
[ Tue Sep 27 22:01:55 2022 ] Training epoch: 88
[ Tue Sep 27 22:06:46 2022 ] 	Mean training loss: 0.8046. loss2: 0.0000. Mean training acc: 75.89%.
[ Tue Sep 27 22:06:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:06:47 2022 ] Eval epoch: 88
[ Tue Sep 27 22:08:12 2022 ] 	Mean test loss of 796 batches: 1.1313192374143168.
[ Tue Sep 27 22:08:13 2022 ] 	Top1: 66.73%
[ Tue Sep 27 22:08:13 2022 ] 	Top5: 91.22%
[ Tue Sep 27 22:08:13 2022 ] Training epoch: 89
[ Tue Sep 27 22:13:05 2022 ] 	Mean training loss: 0.7984. loss2: 0.0000. Mean training acc: 76.10%.
[ Tue Sep 27 22:13:05 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:13:05 2022 ] Eval epoch: 89
[ Tue Sep 27 22:14:31 2022 ] 	Mean test loss of 796 batches: 1.2450614800704785.
[ Tue Sep 27 22:14:32 2022 ] 	Top1: 65.29%
[ Tue Sep 27 22:14:32 2022 ] 	Top5: 90.34%
[ Tue Sep 27 22:14:32 2022 ] Training epoch: 90
[ Tue Sep 27 22:19:23 2022 ] 	Mean training loss: 0.8092. loss2: 0.0000. Mean training acc: 75.66%.
[ Tue Sep 27 22:19:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:19:23 2022 ] Eval epoch: 90
[ Tue Sep 27 22:20:50 2022 ] 	Mean test loss of 796 batches: 1.3651234721343721.
[ Tue Sep 27 22:20:50 2022 ] 	Top1: 62.78%
[ Tue Sep 27 22:20:51 2022 ] 	Top5: 90.25%
[ Tue Sep 27 22:20:51 2022 ] Training epoch: 91
[ Tue Sep 27 22:25:42 2022 ] 	Mean training loss: 0.4831. loss2: 0.0000. Mean training acc: 85.49%.
[ Tue Sep 27 22:25:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:25:43 2022 ] Eval epoch: 91
[ Tue Sep 27 22:27:09 2022 ] 	Mean test loss of 796 batches: 0.6453257744298808.
[ Tue Sep 27 22:27:09 2022 ] 	Top1: 80.25%
[ Tue Sep 27 22:27:10 2022 ] 	Top5: 96.11%
[ Tue Sep 27 22:27:10 2022 ] Training epoch: 92
[ Tue Sep 27 22:32:01 2022 ] 	Mean training loss: 0.3903. loss2: 0.0000. Mean training acc: 88.36%.
[ Tue Sep 27 22:32:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:32:01 2022 ] Eval epoch: 92
[ Tue Sep 27 22:33:27 2022 ] 	Mean test loss of 796 batches: 0.6168307708810322.
[ Tue Sep 27 22:33:27 2022 ] 	Top1: 81.19%
[ Tue Sep 27 22:33:28 2022 ] 	Top5: 96.47%
[ Tue Sep 27 22:33:28 2022 ] Training epoch: 93
[ Tue Sep 27 22:38:19 2022 ] 	Mean training loss: 0.3527. loss2: 0.0000. Mean training acc: 89.49%.
[ Tue Sep 27 22:38:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:38:19 2022 ] Eval epoch: 93
[ Tue Sep 27 22:39:45 2022 ] 	Mean test loss of 796 batches: 0.6180234213252014.
[ Tue Sep 27 22:39:45 2022 ] 	Top1: 81.28%
[ Tue Sep 27 22:39:46 2022 ] 	Top5: 96.44%
[ Tue Sep 27 22:39:46 2022 ] Training epoch: 94
[ Tue Sep 27 22:44:38 2022 ] 	Mean training loss: 0.3318. loss2: 0.0000. Mean training acc: 90.06%.
[ Tue Sep 27 22:44:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:44:38 2022 ] Eval epoch: 94
[ Tue Sep 27 22:46:04 2022 ] 	Mean test loss of 796 batches: 0.6248027961045953.
[ Tue Sep 27 22:46:04 2022 ] 	Top1: 81.12%
[ Tue Sep 27 22:46:05 2022 ] 	Top5: 96.49%
[ Tue Sep 27 22:46:05 2022 ] Training epoch: 95
[ Tue Sep 27 22:50:56 2022 ] 	Mean training loss: 0.3073. loss2: 0.0000. Mean training acc: 90.91%.
[ Tue Sep 27 22:50:56 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:50:56 2022 ] Eval epoch: 95
[ Tue Sep 27 22:52:22 2022 ] 	Mean test loss of 796 batches: 0.6374624804055421.
[ Tue Sep 27 22:52:23 2022 ] 	Top1: 80.99%
[ Tue Sep 27 22:52:23 2022 ] 	Top5: 96.28%
[ Tue Sep 27 22:52:23 2022 ] Training epoch: 96
[ Tue Sep 27 22:57:14 2022 ] 	Mean training loss: 0.2933. loss2: 0.0000. Mean training acc: 91.31%.
[ Tue Sep 27 22:57:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:57:15 2022 ] Eval epoch: 96
[ Tue Sep 27 22:58:41 2022 ] 	Mean test loss of 796 batches: 0.6684018025483618.
[ Tue Sep 27 22:58:41 2022 ] 	Top1: 80.56%
[ Tue Sep 27 22:58:42 2022 ] 	Top5: 96.04%
[ Tue Sep 27 22:58:42 2022 ] Training epoch: 97
[ Tue Sep 27 23:03:33 2022 ] 	Mean training loss: 0.2801. loss2: 0.0000. Mean training acc: 91.70%.
[ Tue Sep 27 23:03:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:03:33 2022 ] Eval epoch: 97
[ Tue Sep 27 23:04:59 2022 ] 	Mean test loss of 796 batches: 0.6334504268820113.
[ Tue Sep 27 23:04:59 2022 ] 	Top1: 81.19%
[ Tue Sep 27 23:05:00 2022 ] 	Top5: 96.42%
[ Tue Sep 27 23:05:00 2022 ] Training epoch: 98
[ Tue Sep 27 23:09:52 2022 ] 	Mean training loss: 0.2683. loss2: 0.0000. Mean training acc: 92.17%.
[ Tue Sep 27 23:09:52 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:09:52 2022 ] Eval epoch: 98
[ Tue Sep 27 23:11:18 2022 ] 	Mean test loss of 796 batches: 0.6584344905188035.
[ Tue Sep 27 23:11:18 2022 ] 	Top1: 80.69%
[ Tue Sep 27 23:11:19 2022 ] 	Top5: 96.17%
[ Tue Sep 27 23:11:19 2022 ] Training epoch: 99
[ Tue Sep 27 23:16:11 2022 ] 	Mean training loss: 0.2571. loss2: 0.0000. Mean training acc: 92.46%.
[ Tue Sep 27 23:16:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:16:11 2022 ] Eval epoch: 99
[ Tue Sep 27 23:17:37 2022 ] 	Mean test loss of 796 batches: 0.6665426102377962.
[ Tue Sep 27 23:17:38 2022 ] 	Top1: 80.55%
[ Tue Sep 27 23:17:38 2022 ] 	Top5: 96.15%
[ Tue Sep 27 23:17:38 2022 ] Training epoch: 100
[ Tue Sep 27 23:22:30 2022 ] 	Mean training loss: 0.2524. loss2: 0.0000. Mean training acc: 92.61%.
[ Tue Sep 27 23:22:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:22:30 2022 ] Eval epoch: 100
[ Tue Sep 27 23:23:56 2022 ] 	Mean test loss of 796 batches: 0.6555117756577592.
[ Tue Sep 27 23:23:56 2022 ] 	Top1: 81.04%
[ Tue Sep 27 23:23:57 2022 ] 	Top5: 96.25%
[ Tue Sep 27 23:23:57 2022 ] Training epoch: 101
[ Tue Sep 27 23:28:48 2022 ] 	Mean training loss: 0.1899. loss2: 0.0000. Mean training acc: 94.89%.
[ Tue Sep 27 23:28:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:28:48 2022 ] Eval epoch: 101
[ Tue Sep 27 23:30:14 2022 ] 	Mean test loss of 796 batches: 0.6110402763956905.
[ Tue Sep 27 23:30:14 2022 ] 	Top1: 82.34%
[ Tue Sep 27 23:30:15 2022 ] 	Top5: 96.54%
[ Tue Sep 27 23:30:15 2022 ] Training epoch: 102
[ Tue Sep 27 23:35:06 2022 ] 	Mean training loss: 0.1689. loss2: 0.0000. Mean training acc: 95.65%.
[ Tue Sep 27 23:35:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:35:06 2022 ] Eval epoch: 102
[ Tue Sep 27 23:36:32 2022 ] 	Mean test loss of 796 batches: 0.6234709576109246.
[ Tue Sep 27 23:36:33 2022 ] 	Top1: 82.04%
[ Tue Sep 27 23:36:33 2022 ] 	Top5: 96.44%
[ Tue Sep 27 23:36:34 2022 ] Training epoch: 103
[ Tue Sep 27 23:41:25 2022 ] 	Mean training loss: 0.1577. loss2: 0.0000. Mean training acc: 95.98%.
[ Tue Sep 27 23:41:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:41:25 2022 ] Eval epoch: 103
[ Tue Sep 27 23:42:51 2022 ] 	Mean test loss of 796 batches: 0.6065507077672823.
[ Tue Sep 27 23:42:52 2022 ] 	Top1: 82.58%
[ Tue Sep 27 23:42:52 2022 ] 	Top5: 96.59%
[ Tue Sep 27 23:42:52 2022 ] Training epoch: 104
[ Tue Sep 27 23:47:43 2022 ] 	Mean training loss: 0.1508. loss2: 0.0000. Mean training acc: 96.23%.
[ Tue Sep 27 23:47:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:47:43 2022 ] Eval epoch: 104
[ Tue Sep 27 23:49:09 2022 ] 	Mean test loss of 796 batches: 0.6211276081245598.
[ Tue Sep 27 23:49:10 2022 ] 	Top1: 82.17%
[ Tue Sep 27 23:49:10 2022 ] 	Top5: 96.51%
[ Tue Sep 27 23:49:10 2022 ] Training epoch: 105
[ Tue Sep 27 23:54:03 2022 ] 	Mean training loss: 0.1469. loss2: 0.0000. Mean training acc: 96.31%.
[ Tue Sep 27 23:54:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:54:03 2022 ] Eval epoch: 105
[ Tue Sep 27 23:55:29 2022 ] 	Mean test loss of 796 batches: 0.6214945944372433.
[ Tue Sep 27 23:55:29 2022 ] 	Top1: 82.30%
[ Tue Sep 27 23:55:30 2022 ] 	Top5: 96.53%
[ Tue Sep 27 23:55:30 2022 ] Training epoch: 106
[ Wed Sep 28 00:00:20 2022 ] 	Mean training loss: 0.1424. loss2: 0.0000. Mean training acc: 96.42%.
[ Wed Sep 28 00:00:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:00:20 2022 ] Eval epoch: 106
[ Wed Sep 28 00:01:46 2022 ] 	Mean test loss of 796 batches: 0.6410037861509839.
[ Wed Sep 28 00:01:46 2022 ] 	Top1: 81.71%
[ Wed Sep 28 00:01:47 2022 ] 	Top5: 96.40%
[ Wed Sep 28 00:01:47 2022 ] Training epoch: 107
[ Wed Sep 28 00:06:38 2022 ] 	Mean training loss: 0.1385. loss2: 0.0000. Mean training acc: 96.58%.
[ Wed Sep 28 00:06:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:06:38 2022 ] Eval epoch: 107
[ Wed Sep 28 00:08:04 2022 ] 	Mean test loss of 796 batches: 0.6348966708846727.
[ Wed Sep 28 00:08:04 2022 ] 	Top1: 81.96%
[ Wed Sep 28 00:08:05 2022 ] 	Top5: 96.48%
[ Wed Sep 28 00:08:05 2022 ] Training epoch: 108
[ Wed Sep 28 00:12:57 2022 ] 	Mean training loss: 0.1336. loss2: 0.0000. Mean training acc: 96.67%.
[ Wed Sep 28 00:12:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:12:57 2022 ] Eval epoch: 108
[ Wed Sep 28 00:14:23 2022 ] 	Mean test loss of 796 batches: 0.640565078630669.
[ Wed Sep 28 00:14:23 2022 ] 	Top1: 81.91%
[ Wed Sep 28 00:14:24 2022 ] 	Top5: 96.44%
[ Wed Sep 28 00:14:24 2022 ] Training epoch: 109
[ Wed Sep 28 00:19:14 2022 ] 	Mean training loss: 0.1306. loss2: 0.0000. Mean training acc: 96.86%.
[ Wed Sep 28 00:19:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:19:14 2022 ] Eval epoch: 109
[ Wed Sep 28 00:20:40 2022 ] 	Mean test loss of 796 batches: 0.64183841422013.
[ Wed Sep 28 00:20:40 2022 ] 	Top1: 81.85%
[ Wed Sep 28 00:20:41 2022 ] 	Top5: 96.43%
[ Wed Sep 28 00:20:41 2022 ] Training epoch: 110
[ Wed Sep 28 00:25:31 2022 ] 	Mean training loss: 0.1270. loss2: 0.0000. Mean training acc: 97.05%.
[ Wed Sep 28 00:25:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:25:31 2022 ] Eval epoch: 110
[ Wed Sep 28 00:26:57 2022 ] 	Mean test loss of 796 batches: 0.6357908250492572.
[ Wed Sep 28 00:26:57 2022 ] 	Top1: 82.17%
[ Wed Sep 28 00:26:58 2022 ] 	Top5: 96.49%
[ Wed Sep 28 00:28:25 2022 ] Best accuracy: 0.825762485516212
[ Wed Sep 28 00:28:25 2022 ] Epoch number: 103
[ Wed Sep 28 00:28:25 2022 ] Model name: work_dir/ntu120/csub/fc_bone_vel
[ Wed Sep 28 00:28:25 2022 ] Model total number of params: 2112877
[ Wed Sep 28 00:28:25 2022 ] Weight decay: 0.0004
[ Wed Sep 28 00:28:25 2022 ] Base LR: 0.1
[ Wed Sep 28 00:28:25 2022 ] Batch Size: 64
[ Wed Sep 28 00:28:25 2022 ] Test Batch Size: 64
[ Wed Sep 28 00:28:25 2022 ] seed: 1
