[ Thu Sep 29 14:52:38 2022 ] using warm up, epoch: 5
[ Thu Sep 29 14:52:48 2022 ] Parameters:
{'work_dir': 'work_dir/ucla/fc_vel2', 'model_saved_name': 'work_dir/ucla/fc_vel2/runs', 'config': 'config/ucla/fc_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_ucla.Feeder', 'num_worker': 48, 'train_feeder_args': {'data_path': 'motion', 'label_path': 'train', 'debug': False, 'random_choose': True, 'random_shift': False, 'random_move': False, 'window_size': 52, 'normalization': False, 'repeat': 5}, 'test_feeder_args': {'data_path': 'motion', 'label_path': 'val', 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 10, 'num_point': 20, 'num_person': 1}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.05, 'step': [90, 100], 'device': [2], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 16, 'test_batch_size': 64, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0001, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Thu Sep 29 14:52:48 2022 ] # Parameters: 2036242
[ Thu Sep 29 14:52:48 2022 ] Training epoch: 1
[ Thu Sep 29 14:54:07 2022 ] 	Mean training loss: 2.7244. loss2: 0.0000. Mean training acc: 44.89%.
[ Thu Sep 29 14:54:07 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 14:54:07 2022 ] Eval epoch: 1
[ Thu Sep 29 14:54:13 2022 ] 	Mean test loss of 8 batches: 1.0725132673978806.
[ Thu Sep 29 14:54:13 2022 ] 	Top1: 62.72%
[ Thu Sep 29 14:54:13 2022 ] 	Top5: 97.20%
[ Thu Sep 29 14:54:13 2022 ] Training epoch: 2
[ Thu Sep 29 14:55:31 2022 ] 	Mean training loss: 1.3107. loss2: 0.0000. Mean training acc: 59.61%.
[ Thu Sep 29 14:55:31 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 14:55:31 2022 ] Eval epoch: 2
[ Thu Sep 29 14:55:38 2022 ] 	Mean test loss of 8 batches: 0.7805521190166473.
[ Thu Sep 29 14:55:38 2022 ] 	Top1: 75.43%
[ Thu Sep 29 14:55:38 2022 ] 	Top5: 98.71%
[ Thu Sep 29 14:55:38 2022 ] Training epoch: 3
[ Thu Sep 29 14:56:58 2022 ] 	Mean training loss: 1.0366. loss2: 0.0000. Mean training acc: 66.71%.
[ Thu Sep 29 14:56:58 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 14:56:58 2022 ] Eval epoch: 3
[ Thu Sep 29 14:57:03 2022 ] 	Mean test loss of 8 batches: 0.6184894181787968.
[ Thu Sep 29 14:57:03 2022 ] 	Top1: 79.96%
[ Thu Sep 29 14:57:03 2022 ] 	Top5: 98.28%
[ Thu Sep 29 14:57:03 2022 ] Training epoch: 4
[ Thu Sep 29 14:58:24 2022 ] 	Mean training loss: 0.9525. loss2: 0.0000. Mean training acc: 67.85%.
[ Thu Sep 29 14:58:24 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 14:58:24 2022 ] Eval epoch: 4
[ Thu Sep 29 14:58:30 2022 ] 	Mean test loss of 8 batches: 0.5475920513272285.
[ Thu Sep 29 14:58:30 2022 ] 	Top1: 81.68%
[ Thu Sep 29 14:58:30 2022 ] 	Top5: 99.57%
[ Thu Sep 29 14:58:30 2022 ] Training epoch: 5
[ Thu Sep 29 14:59:53 2022 ] 	Mean training loss: 0.8893. loss2: 0.0000. Mean training acc: 70.34%.
[ Thu Sep 29 14:59:53 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 14:59:53 2022 ] Eval epoch: 5
[ Thu Sep 29 14:59:58 2022 ] 	Mean test loss of 8 batches: 0.6475053690373898.
[ Thu Sep 29 14:59:59 2022 ] 	Top1: 78.45%
[ Thu Sep 29 14:59:59 2022 ] 	Top5: 99.14%
[ Thu Sep 29 14:59:59 2022 ] Training epoch: 6
[ Thu Sep 29 15:01:25 2022 ] 	Mean training loss: 0.7302. loss2: 0.0000. Mean training acc: 74.55%.
[ Thu Sep 29 15:01:25 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:01:25 2022 ] Eval epoch: 6
[ Thu Sep 29 15:01:31 2022 ] 	Mean test loss of 8 batches: 0.622085440903902.
[ Thu Sep 29 15:01:31 2022 ] 	Top1: 79.96%
[ Thu Sep 29 15:01:31 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:01:31 2022 ] Training epoch: 7
[ Thu Sep 29 15:02:51 2022 ] 	Mean training loss: 0.6523. loss2: 0.0000. Mean training acc: 77.44%.
[ Thu Sep 29 15:02:51 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:02:51 2022 ] Eval epoch: 7
[ Thu Sep 29 15:02:57 2022 ] 	Mean test loss of 8 batches: 0.5433804541826248.
[ Thu Sep 29 15:02:57 2022 ] 	Top1: 80.60%
[ Thu Sep 29 15:02:57 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:02:57 2022 ] Training epoch: 8
[ Thu Sep 29 15:04:15 2022 ] 	Mean training loss: 0.5811. loss2: 0.0000. Mean training acc: 78.89%.
[ Thu Sep 29 15:04:15 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:04:15 2022 ] Eval epoch: 8
[ Thu Sep 29 15:04:22 2022 ] 	Mean test loss of 8 batches: 0.43340772949159145.
[ Thu Sep 29 15:04:22 2022 ] 	Top1: 84.91%
[ Thu Sep 29 15:04:22 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:04:22 2022 ] Training epoch: 9
[ Thu Sep 29 15:05:43 2022 ] 	Mean training loss: 0.5300. loss2: 0.0000. Mean training acc: 81.53%.
[ Thu Sep 29 15:05:43 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:05:43 2022 ] Eval epoch: 9
[ Thu Sep 29 15:05:49 2022 ] 	Mean test loss of 8 batches: 0.6078717019408941.
[ Thu Sep 29 15:05:49 2022 ] 	Top1: 79.96%
[ Thu Sep 29 15:05:49 2022 ] 	Top5: 98.06%
[ Thu Sep 29 15:05:49 2022 ] Training epoch: 10
[ Thu Sep 29 15:07:09 2022 ] 	Mean training loss: 0.4885. loss2: 0.0000. Mean training acc: 81.90%.
[ Thu Sep 29 15:07:09 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 15:07:09 2022 ] Eval epoch: 10
[ Thu Sep 29 15:07:15 2022 ] 	Mean test loss of 8 batches: 0.560853261500597.
[ Thu Sep 29 15:07:15 2022 ] 	Top1: 82.76%
[ Thu Sep 29 15:07:15 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:07:15 2022 ] Training epoch: 11
[ Thu Sep 29 15:08:37 2022 ] 	Mean training loss: 0.4551. loss2: 0.0000. Mean training acc: 83.63%.
[ Thu Sep 29 15:08:37 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:08:37 2022 ] Eval epoch: 11
[ Thu Sep 29 15:08:42 2022 ] 	Mean test loss of 8 batches: 0.47680865600705147.
[ Thu Sep 29 15:08:42 2022 ] 	Top1: 81.68%
[ Thu Sep 29 15:08:42 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:08:42 2022 ] Training epoch: 12
[ Thu Sep 29 15:10:05 2022 ] 	Mean training loss: 0.4225. loss2: 0.0000. Mean training acc: 84.41%.
[ Thu Sep 29 15:10:05 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:10:05 2022 ] Eval epoch: 12
[ Thu Sep 29 15:10:12 2022 ] 	Mean test loss of 8 batches: 0.6152592077851295.
[ Thu Sep 29 15:10:12 2022 ] 	Top1: 84.70%
[ Thu Sep 29 15:10:12 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:10:12 2022 ] Training epoch: 13
[ Thu Sep 29 15:11:30 2022 ] 	Mean training loss: 0.4024. loss2: 0.0000. Mean training acc: 85.55%.
[ Thu Sep 29 15:11:30 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:11:30 2022 ] Eval epoch: 13
[ Thu Sep 29 15:11:35 2022 ] 	Mean test loss of 8 batches: 0.5072616711258888.
[ Thu Sep 29 15:11:35 2022 ] 	Top1: 82.33%
[ Thu Sep 29 15:11:35 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:11:35 2022 ] Training epoch: 14
[ Thu Sep 29 15:12:58 2022 ] 	Mean training loss: 0.3809. loss2: 0.0000. Mean training acc: 86.26%.
[ Thu Sep 29 15:12:58 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:12:58 2022 ] Eval epoch: 14
[ Thu Sep 29 15:13:03 2022 ] 	Mean test loss of 8 batches: 0.6117092743515968.
[ Thu Sep 29 15:13:03 2022 ] 	Top1: 76.94%
[ Thu Sep 29 15:13:03 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:13:03 2022 ] Training epoch: 15
[ Thu Sep 29 15:14:23 2022 ] 	Mean training loss: 0.3495. loss2: 0.0000. Mean training acc: 87.21%.
[ Thu Sep 29 15:14:23 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:14:23 2022 ] Eval epoch: 15
[ Thu Sep 29 15:14:29 2022 ] 	Mean test loss of 8 batches: 0.5014225095510483.
[ Thu Sep 29 15:14:29 2022 ] 	Top1: 80.60%
[ Thu Sep 29 15:14:29 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:14:29 2022 ] Training epoch: 16
[ Thu Sep 29 15:15:54 2022 ] 	Mean training loss: 0.3299. loss2: 0.0000. Mean training acc: 88.03%.
[ Thu Sep 29 15:15:54 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:15:54 2022 ] Eval epoch: 16
[ Thu Sep 29 15:15:58 2022 ] 	Mean test loss of 8 batches: 0.5964462496340275.
[ Thu Sep 29 15:15:58 2022 ] 	Top1: 81.25%
[ Thu Sep 29 15:15:58 2022 ] 	Top5: 98.49%
[ Thu Sep 29 15:15:58 2022 ] Training epoch: 17
[ Thu Sep 29 15:17:08 2022 ] 	Mean training loss: 0.3076. loss2: 0.0000. Mean training acc: 89.17%.
[ Thu Sep 29 15:17:08 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 15:17:08 2022 ] Eval epoch: 17
[ Thu Sep 29 15:17:14 2022 ] 	Mean test loss of 8 batches: 0.4804732874035835.
[ Thu Sep 29 15:17:14 2022 ] 	Top1: 85.99%
[ Thu Sep 29 15:17:14 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:17:14 2022 ] Training epoch: 18
[ Thu Sep 29 15:18:38 2022 ] 	Mean training loss: 0.2598. loss2: 0.0000. Mean training acc: 90.07%.
[ Thu Sep 29 15:18:38 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:18:38 2022 ] Eval epoch: 18
[ Thu Sep 29 15:18:43 2022 ] 	Mean test loss of 8 batches: 0.4493734519928694.
[ Thu Sep 29 15:18:43 2022 ] 	Top1: 85.13%
[ Thu Sep 29 15:18:43 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:18:43 2022 ] Training epoch: 19
[ Thu Sep 29 15:20:04 2022 ] 	Mean training loss: 0.2760. loss2: 0.0000. Mean training acc: 90.29%.
[ Thu Sep 29 15:20:04 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:20:04 2022 ] Eval epoch: 19
[ Thu Sep 29 15:20:09 2022 ] 	Mean test loss of 8 batches: 0.883045569062233.
[ Thu Sep 29 15:20:09 2022 ] 	Top1: 76.94%
[ Thu Sep 29 15:20:09 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:20:09 2022 ] Training epoch: 20
[ Thu Sep 29 15:21:31 2022 ] 	Mean training loss: 0.2849. loss2: 0.0000. Mean training acc: 89.88%.
[ Thu Sep 29 15:21:31 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:21:31 2022 ] Eval epoch: 20
[ Thu Sep 29 15:21:38 2022 ] 	Mean test loss of 8 batches: 0.3494376353919506.
[ Thu Sep 29 15:21:38 2022 ] 	Top1: 88.79%
[ Thu Sep 29 15:21:38 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:21:38 2022 ] Training epoch: 21
[ Thu Sep 29 15:23:01 2022 ] 	Mean training loss: 0.2401. loss2: 0.0000. Mean training acc: 91.23%.
[ Thu Sep 29 15:23:01 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:23:01 2022 ] Eval epoch: 21
[ Thu Sep 29 15:23:07 2022 ] 	Mean test loss of 8 batches: 0.3574347486719489.
[ Thu Sep 29 15:23:07 2022 ] 	Top1: 85.99%
[ Thu Sep 29 15:23:07 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:23:07 2022 ] Training epoch: 22
[ Thu Sep 29 15:24:29 2022 ] 	Mean training loss: 0.2325. loss2: 0.0000. Mean training acc: 91.39%.
[ Thu Sep 29 15:24:29 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:24:29 2022 ] Eval epoch: 22
[ Thu Sep 29 15:24:34 2022 ] 	Mean test loss of 8 batches: 0.44724707677960396.
[ Thu Sep 29 15:24:34 2022 ] 	Top1: 87.50%
[ Thu Sep 29 15:24:34 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:24:34 2022 ] Training epoch: 23
[ Thu Sep 29 15:25:56 2022 ] 	Mean training loss: 0.2193. loss2: 0.0000. Mean training acc: 92.24%.
[ Thu Sep 29 15:25:56 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:25:56 2022 ] Eval epoch: 23
[ Thu Sep 29 15:26:01 2022 ] 	Mean test loss of 8 batches: 0.3694296684116125.
[ Thu Sep 29 15:26:01 2022 ] 	Top1: 88.58%
[ Thu Sep 29 15:26:01 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:26:02 2022 ] Training epoch: 24
[ Thu Sep 29 15:27:23 2022 ] 	Mean training loss: 0.1964. loss2: 0.0000. Mean training acc: 92.94%.
[ Thu Sep 29 15:27:23 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:27:23 2022 ] Eval epoch: 24
[ Thu Sep 29 15:27:29 2022 ] 	Mean test loss of 8 batches: 0.43130606785416603.
[ Thu Sep 29 15:27:29 2022 ] 	Top1: 87.72%
[ Thu Sep 29 15:27:29 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:27:29 2022 ] Training epoch: 25
[ Thu Sep 29 15:28:52 2022 ] 	Mean training loss: 0.1875. loss2: 0.0000. Mean training acc: 93.59%.
[ Thu Sep 29 15:28:52 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:28:52 2022 ] Eval epoch: 25
[ Thu Sep 29 15:28:58 2022 ] 	Mean test loss of 8 batches: 0.45857977494597435.
[ Thu Sep 29 15:28:58 2022 ] 	Top1: 86.42%
[ Thu Sep 29 15:28:58 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:28:58 2022 ] Training epoch: 26
[ Thu Sep 29 15:30:23 2022 ] 	Mean training loss: 0.1976. loss2: 0.0000. Mean training acc: 92.71%.
[ Thu Sep 29 15:30:23 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:30:23 2022 ] Eval epoch: 26
[ Thu Sep 29 15:30:29 2022 ] 	Mean test loss of 8 batches: 0.5242307558655739.
[ Thu Sep 29 15:30:29 2022 ] 	Top1: 84.05%
[ Thu Sep 29 15:30:29 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:30:29 2022 ] Training epoch: 27
[ Thu Sep 29 15:31:51 2022 ] 	Mean training loss: 0.1672. loss2: 0.0000. Mean training acc: 94.20%.
[ Thu Sep 29 15:31:51 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:31:51 2022 ] Eval epoch: 27
[ Thu Sep 29 15:31:56 2022 ] 	Mean test loss of 8 batches: 0.48262700252234936.
[ Thu Sep 29 15:31:56 2022 ] 	Top1: 85.34%
[ Thu Sep 29 15:31:56 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:31:56 2022 ] Training epoch: 28
[ Thu Sep 29 15:33:17 2022 ] 	Mean training loss: 0.1873. loss2: 0.0000. Mean training acc: 93.08%.
[ Thu Sep 29 15:33:17 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:33:17 2022 ] Eval epoch: 28
[ Thu Sep 29 15:33:23 2022 ] 	Mean test loss of 8 batches: 0.5248233675956726.
[ Thu Sep 29 15:33:23 2022 ] 	Top1: 82.97%
[ Thu Sep 29 15:33:23 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:33:23 2022 ] Training epoch: 29
[ Thu Sep 29 15:34:44 2022 ] 	Mean training loss: 0.1771. loss2: 0.0000. Mean training acc: 93.34%.
[ Thu Sep 29 15:34:44 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:34:44 2022 ] Eval epoch: 29
[ Thu Sep 29 15:34:50 2022 ] 	Mean test loss of 8 batches: 0.5547325438819826.
[ Thu Sep 29 15:34:50 2022 ] 	Top1: 83.62%
[ Thu Sep 29 15:34:50 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:34:50 2022 ] Training epoch: 30
[ Thu Sep 29 15:36:10 2022 ] 	Mean training loss: 0.1812. loss2: 0.0000. Mean training acc: 93.12%.
[ Thu Sep 29 15:36:10 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:36:10 2022 ] Eval epoch: 30
[ Thu Sep 29 15:36:16 2022 ] 	Mean test loss of 8 batches: 0.4503658255562186.
[ Thu Sep 29 15:36:16 2022 ] 	Top1: 87.50%
[ Thu Sep 29 15:36:16 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:36:16 2022 ] Training epoch: 31
[ Thu Sep 29 15:37:36 2022 ] 	Mean training loss: 0.1373. loss2: 0.0000. Mean training acc: 95.20%.
[ Thu Sep 29 15:37:36 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:37:36 2022 ] Eval epoch: 31
[ Thu Sep 29 15:37:42 2022 ] 	Mean test loss of 8 batches: 0.28906571865081787.
[ Thu Sep 29 15:37:42 2022 ] 	Top1: 90.95%
[ Thu Sep 29 15:37:42 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:37:42 2022 ] Training epoch: 32
[ Thu Sep 29 15:39:04 2022 ] 	Mean training loss: 0.1367. loss2: 0.0000. Mean training acc: 95.26%.
[ Thu Sep 29 15:39:04 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:39:04 2022 ] Eval epoch: 32
[ Thu Sep 29 15:39:10 2022 ] 	Mean test loss of 8 batches: 0.531170692294836.
[ Thu Sep 29 15:39:10 2022 ] 	Top1: 85.56%
[ Thu Sep 29 15:39:10 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:39:10 2022 ] Training epoch: 33
[ Thu Sep 29 15:40:35 2022 ] 	Mean training loss: 0.1376. loss2: 0.0000. Mean training acc: 95.46%.
[ Thu Sep 29 15:40:35 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:40:35 2022 ] Eval epoch: 33
[ Thu Sep 29 15:40:41 2022 ] 	Mean test loss of 8 batches: 0.47636148892343044.
[ Thu Sep 29 15:40:41 2022 ] 	Top1: 83.62%
[ Thu Sep 29 15:40:41 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:40:41 2022 ] Training epoch: 34
[ Thu Sep 29 15:41:59 2022 ] 	Mean training loss: 0.1246. loss2: 0.0000. Mean training acc: 95.62%.
[ Thu Sep 29 15:41:59 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 15:41:59 2022 ] Eval epoch: 34
[ Thu Sep 29 15:42:04 2022 ] 	Mean test loss of 8 batches: 0.6355369137600064.
[ Thu Sep 29 15:42:04 2022 ] 	Top1: 79.53%
[ Thu Sep 29 15:42:04 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:42:04 2022 ] Training epoch: 35
[ Thu Sep 29 15:43:26 2022 ] 	Mean training loss: 0.1245. loss2: 0.0000. Mean training acc: 95.68%.
[ Thu Sep 29 15:43:26 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:43:26 2022 ] Eval epoch: 35
[ Thu Sep 29 15:43:32 2022 ] 	Mean test loss of 8 batches: 0.4176836712285876.
[ Thu Sep 29 15:43:32 2022 ] 	Top1: 87.28%
[ Thu Sep 29 15:43:32 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:43:32 2022 ] Training epoch: 36
[ Thu Sep 29 15:44:51 2022 ] 	Mean training loss: 0.1107. loss2: 0.0000. Mean training acc: 96.23%.
[ Thu Sep 29 15:44:51 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:44:51 2022 ] Eval epoch: 36
[ Thu Sep 29 15:44:58 2022 ] 	Mean test loss of 8 batches: 0.3889847395475954.
[ Thu Sep 29 15:44:58 2022 ] 	Top1: 88.15%
[ Thu Sep 29 15:44:58 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:44:58 2022 ] Training epoch: 37
[ Thu Sep 29 15:46:16 2022 ] 	Mean training loss: 0.1241. loss2: 0.0000. Mean training acc: 95.56%.
[ Thu Sep 29 15:46:16 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 15:46:16 2022 ] Eval epoch: 37
[ Thu Sep 29 15:46:23 2022 ] 	Mean test loss of 8 batches: 0.3306394233368337.
[ Thu Sep 29 15:46:23 2022 ] 	Top1: 91.38%
[ Thu Sep 29 15:46:23 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:46:23 2022 ] Training epoch: 38
[ Thu Sep 29 15:47:44 2022 ] 	Mean training loss: 0.0987. loss2: 0.0000. Mean training acc: 96.54%.
[ Thu Sep 29 15:47:44 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:47:44 2022 ] Eval epoch: 38
[ Thu Sep 29 15:47:51 2022 ] 	Mean test loss of 8 batches: 0.3596252864226699.
[ Thu Sep 29 15:47:51 2022 ] 	Top1: 89.01%
[ Thu Sep 29 15:47:51 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:47:51 2022 ] Training epoch: 39
[ Thu Sep 29 15:49:15 2022 ] 	Mean training loss: 0.1089. loss2: 0.0000. Mean training acc: 96.19%.
[ Thu Sep 29 15:49:15 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:49:15 2022 ] Eval epoch: 39
[ Thu Sep 29 15:49:21 2022 ] 	Mean test loss of 8 batches: 0.4067199993878603.
[ Thu Sep 29 15:49:21 2022 ] 	Top1: 85.99%
[ Thu Sep 29 15:49:21 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:49:21 2022 ] Training epoch: 40
[ Thu Sep 29 15:50:43 2022 ] 	Mean training loss: 0.1022. loss2: 0.0000. Mean training acc: 96.42%.
[ Thu Sep 29 15:50:43 2022 ] 	Time consumption: [Data]13%, [Network]85%
[ Thu Sep 29 15:50:43 2022 ] Eval epoch: 40
[ Thu Sep 29 15:50:50 2022 ] 	Mean test loss of 8 batches: 0.4343291688710451.
[ Thu Sep 29 15:50:50 2022 ] 	Top1: 86.42%
[ Thu Sep 29 15:50:50 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:50:50 2022 ] Training epoch: 41
[ Thu Sep 29 15:52:11 2022 ] 	Mean training loss: 0.1189. loss2: 0.0000. Mean training acc: 95.64%.
[ Thu Sep 29 15:52:11 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:52:12 2022 ] Eval epoch: 41
[ Thu Sep 29 15:52:18 2022 ] 	Mean test loss of 8 batches: 0.5313998647034168.
[ Thu Sep 29 15:52:18 2022 ] 	Top1: 82.76%
[ Thu Sep 29 15:52:18 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:52:18 2022 ] Training epoch: 42
[ Thu Sep 29 15:53:39 2022 ] 	Mean training loss: 0.1103. loss2: 0.0000. Mean training acc: 96.38%.
[ Thu Sep 29 15:53:39 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:53:39 2022 ] Eval epoch: 42
[ Thu Sep 29 15:53:46 2022 ] 	Mean test loss of 8 batches: 0.4151215273886919.
[ Thu Sep 29 15:53:46 2022 ] 	Top1: 86.85%
[ Thu Sep 29 15:53:46 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:53:46 2022 ] Training epoch: 43
[ Thu Sep 29 15:55:07 2022 ] 	Mean training loss: 0.1016. loss2: 0.0000. Mean training acc: 96.48%.
[ Thu Sep 29 15:55:07 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 15:55:07 2022 ] Eval epoch: 43
[ Thu Sep 29 15:55:13 2022 ] 	Mean test loss of 8 batches: 0.4395705248462036.
[ Thu Sep 29 15:55:13 2022 ] 	Top1: 84.48%
[ Thu Sep 29 15:55:13 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:55:13 2022 ] Training epoch: 44
[ Thu Sep 29 15:56:32 2022 ] 	Mean training loss: 0.0858. loss2: 0.0000. Mean training acc: 97.19%.
[ Thu Sep 29 15:56:32 2022 ] 	Time consumption: [Data]13%, [Network]85%
[ Thu Sep 29 15:56:32 2022 ] Eval epoch: 44
[ Thu Sep 29 15:56:38 2022 ] 	Mean test loss of 8 batches: 0.41297011263668537.
[ Thu Sep 29 15:56:38 2022 ] 	Top1: 87.28%
[ Thu Sep 29 15:56:38 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:56:38 2022 ] Training epoch: 45
[ Thu Sep 29 15:57:56 2022 ] 	Mean training loss: 0.0860. loss2: 0.0000. Mean training acc: 96.93%.
[ Thu Sep 29 15:57:56 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:57:56 2022 ] Eval epoch: 45
[ Thu Sep 29 15:58:02 2022 ] 	Mean test loss of 8 batches: 0.40357157588005066.
[ Thu Sep 29 15:58:02 2022 ] 	Top1: 88.15%
[ Thu Sep 29 15:58:02 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:58:02 2022 ] Training epoch: 46
[ Thu Sep 29 15:59:21 2022 ] 	Mean training loss: 0.0870. loss2: 0.0000. Mean training acc: 97.09%.
[ Thu Sep 29 15:59:21 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:59:21 2022 ] Eval epoch: 46
[ Thu Sep 29 15:59:27 2022 ] 	Mean test loss of 8 batches: 0.3951951079070568.
[ Thu Sep 29 15:59:27 2022 ] 	Top1: 88.36%
[ Thu Sep 29 15:59:27 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:59:27 2022 ] Training epoch: 47
[ Thu Sep 29 16:00:48 2022 ] 	Mean training loss: 0.0765. loss2: 0.0000. Mean training acc: 97.50%.
[ Thu Sep 29 16:00:48 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:00:48 2022 ] Eval epoch: 47
[ Thu Sep 29 16:00:53 2022 ] 	Mean test loss of 8 batches: 0.3313047867268324.
[ Thu Sep 29 16:00:53 2022 ] 	Top1: 92.03%
[ Thu Sep 29 16:00:53 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:00:53 2022 ] Training epoch: 48
[ Thu Sep 29 16:02:15 2022 ] 	Mean training loss: 0.0868. loss2: 0.0000. Mean training acc: 97.15%.
[ Thu Sep 29 16:02:15 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:02:15 2022 ] Eval epoch: 48
[ Thu Sep 29 16:02:20 2022 ] 	Mean test loss of 8 batches: 0.7030976098030806.
[ Thu Sep 29 16:02:20 2022 ] 	Top1: 84.05%
[ Thu Sep 29 16:02:20 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:02:20 2022 ] Training epoch: 49
[ Thu Sep 29 16:03:41 2022 ] 	Mean training loss: 0.0908. loss2: 0.0000. Mean training acc: 96.84%.
[ Thu Sep 29 16:03:41 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:03:42 2022 ] Eval epoch: 49
[ Thu Sep 29 16:03:48 2022 ] 	Mean test loss of 8 batches: 0.38847170025110245.
[ Thu Sep 29 16:03:48 2022 ] 	Top1: 89.66%
[ Thu Sep 29 16:03:48 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:03:48 2022 ] Training epoch: 50
[ Thu Sep 29 16:05:09 2022 ] 	Mean training loss: 0.0717. loss2: 0.0000. Mean training acc: 97.64%.
[ Thu Sep 29 16:05:09 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 16:05:09 2022 ] Eval epoch: 50
[ Thu Sep 29 16:05:15 2022 ] 	Mean test loss of 8 batches: 0.5852636396884918.
[ Thu Sep 29 16:05:15 2022 ] 	Top1: 85.56%
[ Thu Sep 29 16:05:15 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:05:15 2022 ] Training epoch: 51
[ Thu Sep 29 16:06:39 2022 ] 	Mean training loss: 0.0769. loss2: 0.0000. Mean training acc: 97.29%.
[ Thu Sep 29 16:06:39 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 16:06:40 2022 ] Eval epoch: 51
[ Thu Sep 29 16:06:45 2022 ] 	Mean test loss of 8 batches: 0.4582053255289793.
[ Thu Sep 29 16:06:45 2022 ] 	Top1: 87.07%
[ Thu Sep 29 16:06:45 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:06:45 2022 ] Training epoch: 52
[ Thu Sep 29 16:08:05 2022 ] 	Mean training loss: 0.0828. loss2: 0.0000. Mean training acc: 97.03%.
[ Thu Sep 29 16:08:05 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:08:05 2022 ] Eval epoch: 52
[ Thu Sep 29 16:08:10 2022 ] 	Mean test loss of 8 batches: 0.8133620470762253.
[ Thu Sep 29 16:08:10 2022 ] 	Top1: 79.09%
[ Thu Sep 29 16:08:10 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:08:10 2022 ] Training epoch: 53
[ Thu Sep 29 16:09:30 2022 ] 	Mean training loss: 0.0839. loss2: 0.0000. Mean training acc: 97.19%.
[ Thu Sep 29 16:09:30 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:09:30 2022 ] Eval epoch: 53
[ Thu Sep 29 16:09:35 2022 ] 	Mean test loss of 8 batches: 0.5104031786322594.
[ Thu Sep 29 16:09:35 2022 ] 	Top1: 85.13%
[ Thu Sep 29 16:09:35 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:09:35 2022 ] Training epoch: 54
[ Thu Sep 29 16:10:58 2022 ] 	Mean training loss: 0.0631. loss2: 0.0000. Mean training acc: 97.80%.
[ Thu Sep 29 16:10:58 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:10:58 2022 ] Eval epoch: 54
[ Thu Sep 29 16:11:04 2022 ] 	Mean test loss of 8 batches: 0.4410926178097725.
[ Thu Sep 29 16:11:04 2022 ] 	Top1: 87.28%
[ Thu Sep 29 16:11:04 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:11:04 2022 ] Training epoch: 55
[ Thu Sep 29 16:12:26 2022 ] 	Mean training loss: 0.0615. loss2: 0.0000. Mean training acc: 97.86%.
[ Thu Sep 29 16:12:26 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:12:26 2022 ] Eval epoch: 55
[ Thu Sep 29 16:12:31 2022 ] 	Mean test loss of 8 batches: 0.3918066620826721.
[ Thu Sep 29 16:12:31 2022 ] 	Top1: 90.30%
[ Thu Sep 29 16:12:31 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:12:31 2022 ] Training epoch: 56
[ Thu Sep 29 16:13:51 2022 ] 	Mean training loss: 0.0703. loss2: 0.0000. Mean training acc: 97.44%.
[ Thu Sep 29 16:13:51 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:13:52 2022 ] Eval epoch: 56
[ Thu Sep 29 16:13:57 2022 ] 	Mean test loss of 8 batches: 0.7084080167114735.
[ Thu Sep 29 16:13:57 2022 ] 	Top1: 80.60%
[ Thu Sep 29 16:13:57 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:13:57 2022 ] Training epoch: 57
[ Thu Sep 29 16:15:17 2022 ] 	Mean training loss: 0.0702. loss2: 0.0000. Mean training acc: 97.70%.
[ Thu Sep 29 16:15:17 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:15:17 2022 ] Eval epoch: 57
[ Thu Sep 29 16:15:22 2022 ] 	Mean test loss of 8 batches: 0.5807108357548714.
[ Thu Sep 29 16:15:22 2022 ] 	Top1: 84.27%
[ Thu Sep 29 16:15:22 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:15:22 2022 ] Training epoch: 58
[ Thu Sep 29 16:16:43 2022 ] 	Mean training loss: 0.0643. loss2: 0.0000. Mean training acc: 98.07%.
[ Thu Sep 29 16:16:43 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:16:43 2022 ] Eval epoch: 58
[ Thu Sep 29 16:16:49 2022 ] 	Mean test loss of 8 batches: 0.41311186738312244.
[ Thu Sep 29 16:16:49 2022 ] 	Top1: 88.15%
[ Thu Sep 29 16:16:49 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:16:49 2022 ] Training epoch: 59
[ Thu Sep 29 16:18:10 2022 ] 	Mean training loss: 0.0643. loss2: 0.0000. Mean training acc: 97.82%.
[ Thu Sep 29 16:18:10 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:18:10 2022 ] Eval epoch: 59
[ Thu Sep 29 16:18:17 2022 ] 	Mean test loss of 8 batches: 0.4781335797160864.
[ Thu Sep 29 16:18:17 2022 ] 	Top1: 86.85%
[ Thu Sep 29 16:18:17 2022 ] 	Top5: 100.00%
[ Thu Sep 29 16:18:17 2022 ] Training epoch: 60
[ Thu Sep 29 16:19:38 2022 ] 	Mean training loss: 0.0759. loss2: 0.0000. Mean training acc: 97.21%.
[ Thu Sep 29 16:19:38 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:19:38 2022 ] Eval epoch: 60
[ Thu Sep 29 16:19:43 2022 ] 	Mean test loss of 8 batches: 0.6759088477119803.
[ Thu Sep 29 16:19:43 2022 ] 	Top1: 81.25%
[ Thu Sep 29 16:19:43 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:19:43 2022 ] Training epoch: 61
[ Thu Sep 29 16:21:03 2022 ] 	Mean training loss: 0.0738. loss2: 0.0000. Mean training acc: 97.56%.
[ Thu Sep 29 16:21:03 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:21:03 2022 ] Eval epoch: 61
[ Thu Sep 29 16:21:08 2022 ] 	Mean test loss of 8 batches: 0.6070841149194166.
[ Thu Sep 29 16:21:08 2022 ] 	Top1: 84.70%
[ Thu Sep 29 16:21:08 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:21:08 2022 ] Training epoch: 62
[ Thu Sep 29 16:22:30 2022 ] 	Mean training loss: 0.0692. loss2: 0.0000. Mean training acc: 97.92%.
[ Thu Sep 29 16:22:30 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:22:30 2022 ] Eval epoch: 62
[ Thu Sep 29 16:22:36 2022 ] 	Mean test loss of 8 batches: 0.5774463396519423.
[ Thu Sep 29 16:22:36 2022 ] 	Top1: 84.70%
[ Thu Sep 29 16:22:36 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:22:36 2022 ] Training epoch: 63
[ Thu Sep 29 16:23:56 2022 ] 	Mean training loss: 0.0393. loss2: 0.0000. Mean training acc: 98.88%.
[ Thu Sep 29 16:23:56 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:23:57 2022 ] Eval epoch: 63
[ Thu Sep 29 16:24:03 2022 ] 	Mean test loss of 8 batches: 0.758423225954175.
[ Thu Sep 29 16:24:03 2022 ] 	Top1: 84.48%
[ Thu Sep 29 16:24:03 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:24:03 2022 ] Training epoch: 64
[ Thu Sep 29 16:25:22 2022 ] 	Mean training loss: 0.0732. loss2: 0.0000. Mean training acc: 97.21%.
[ Thu Sep 29 16:25:22 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:25:22 2022 ] Eval epoch: 64
[ Thu Sep 29 16:25:29 2022 ] 	Mean test loss of 8 batches: 0.49148110672831535.
[ Thu Sep 29 16:25:29 2022 ] 	Top1: 85.99%
[ Thu Sep 29 16:25:29 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:25:29 2022 ] Training epoch: 65
[ Thu Sep 29 16:26:51 2022 ] 	Mean training loss: 0.0760. loss2: 0.0000. Mean training acc: 97.21%.
[ Thu Sep 29 16:26:51 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:26:52 2022 ] Eval epoch: 65
[ Thu Sep 29 16:26:58 2022 ] 	Mean test loss of 8 batches: 0.3513062410056591.
[ Thu Sep 29 16:26:58 2022 ] 	Top1: 89.87%
[ Thu Sep 29 16:26:58 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:26:58 2022 ] Training epoch: 66
[ Thu Sep 29 16:28:16 2022 ] 	Mean training loss: 0.0616. loss2: 0.0000. Mean training acc: 97.90%.
[ Thu Sep 29 16:28:16 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:28:17 2022 ] Eval epoch: 66
[ Thu Sep 29 16:28:22 2022 ] 	Mean test loss of 8 batches: 0.6013920865952969.
[ Thu Sep 29 16:28:22 2022 ] 	Top1: 82.11%
[ Thu Sep 29 16:28:22 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:28:22 2022 ] Training epoch: 67
[ Thu Sep 29 16:29:41 2022 ] 	Mean training loss: 0.0857. loss2: 0.0000. Mean training acc: 96.99%.
[ Thu Sep 29 16:29:41 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:29:41 2022 ] Eval epoch: 67
[ Thu Sep 29 16:29:47 2022 ] 	Mean test loss of 8 batches: 0.7160356445237994.
[ Thu Sep 29 16:29:47 2022 ] 	Top1: 84.27%
[ Thu Sep 29 16:29:47 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:29:47 2022 ] Training epoch: 68
[ Thu Sep 29 16:31:07 2022 ] 	Mean training loss: 0.0642. loss2: 0.0000. Mean training acc: 97.98%.
[ Thu Sep 29 16:31:07 2022 ] 	Time consumption: [Data]13%, [Network]85%
[ Thu Sep 29 16:31:08 2022 ] Eval epoch: 68
[ Thu Sep 29 16:31:13 2022 ] 	Mean test loss of 8 batches: 0.37049185298383236.
[ Thu Sep 29 16:31:13 2022 ] 	Top1: 88.58%
[ Thu Sep 29 16:31:13 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:31:13 2022 ] Training epoch: 69
[ Thu Sep 29 16:32:33 2022 ] 	Mean training loss: 0.0402. loss2: 0.0000. Mean training acc: 98.88%.
[ Thu Sep 29 16:32:33 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:32:33 2022 ] Eval epoch: 69
[ Thu Sep 29 16:32:39 2022 ] 	Mean test loss of 8 batches: 0.4787681959569454.
[ Thu Sep 29 16:32:39 2022 ] 	Top1: 87.07%
[ Thu Sep 29 16:32:39 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:32:39 2022 ] Training epoch: 70
[ Thu Sep 29 16:34:01 2022 ] 	Mean training loss: 0.0568. loss2: 0.0000. Mean training acc: 98.03%.
[ Thu Sep 29 16:34:01 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:34:01 2022 ] Eval epoch: 70
[ Thu Sep 29 16:34:07 2022 ] 	Mean test loss of 8 batches: 0.34836256224662066.
[ Thu Sep 29 16:34:07 2022 ] 	Top1: 90.95%
[ Thu Sep 29 16:34:07 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:34:07 2022 ] Training epoch: 71
[ Thu Sep 29 16:35:30 2022 ] 	Mean training loss: 0.0422. loss2: 0.0000. Mean training acc: 98.76%.
[ Thu Sep 29 16:35:30 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:35:30 2022 ] Eval epoch: 71
[ Thu Sep 29 16:35:35 2022 ] 	Mean test loss of 8 batches: 0.3566316133365035.
[ Thu Sep 29 16:35:35 2022 ] 	Top1: 90.30%
[ Thu Sep 29 16:35:35 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:35:35 2022 ] Training epoch: 72
[ Thu Sep 29 16:36:55 2022 ] 	Mean training loss: 0.0411. loss2: 0.0000. Mean training acc: 98.49%.
[ Thu Sep 29 16:36:55 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:36:55 2022 ] Eval epoch: 72
[ Thu Sep 29 16:37:01 2022 ] 	Mean test loss of 8 batches: 0.3115725936368108.
[ Thu Sep 29 16:37:01 2022 ] 	Top1: 90.30%
[ Thu Sep 29 16:37:01 2022 ] 	Top5: 100.00%
[ Thu Sep 29 16:37:01 2022 ] Training epoch: 73
[ Thu Sep 29 16:38:25 2022 ] 	Mean training loss: 0.0504. loss2: 0.0000. Mean training acc: 98.21%.
[ Thu Sep 29 16:38:25 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:38:25 2022 ] Eval epoch: 73
[ Thu Sep 29 16:38:30 2022 ] 	Mean test loss of 8 batches: 0.6302901692688465.
[ Thu Sep 29 16:38:30 2022 ] 	Top1: 86.85%
[ Thu Sep 29 16:38:30 2022 ] 	Top5: 98.49%
[ Thu Sep 29 16:38:30 2022 ] Training epoch: 74
[ Thu Sep 29 16:39:49 2022 ] 	Mean training loss: 0.0666. loss2: 0.0000. Mean training acc: 97.66%.
[ Thu Sep 29 16:39:49 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:39:50 2022 ] Eval epoch: 74
[ Thu Sep 29 16:39:56 2022 ] 	Mean test loss of 8 batches: 0.3965236395597458.
[ Thu Sep 29 16:39:56 2022 ] 	Top1: 89.22%
[ Thu Sep 29 16:39:56 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:39:56 2022 ] Training epoch: 75
[ Thu Sep 29 16:41:15 2022 ] 	Mean training loss: 0.0686. loss2: 0.0000. Mean training acc: 97.76%.
[ Thu Sep 29 16:41:15 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:41:15 2022 ] Eval epoch: 75
[ Thu Sep 29 16:41:22 2022 ] 	Mean test loss of 8 batches: 0.6557572465389967.
[ Thu Sep 29 16:41:22 2022 ] 	Top1: 85.78%
[ Thu Sep 29 16:41:22 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:41:22 2022 ] Training epoch: 76
[ Thu Sep 29 16:42:41 2022 ] 	Mean training loss: 0.0535. loss2: 0.0000. Mean training acc: 98.15%.
[ Thu Sep 29 16:42:41 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:42:41 2022 ] Eval epoch: 76
[ Thu Sep 29 16:42:48 2022 ] 	Mean test loss of 8 batches: 0.6964098382741213.
[ Thu Sep 29 16:42:48 2022 ] 	Top1: 82.11%
[ Thu Sep 29 16:42:48 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:42:48 2022 ] Training epoch: 77
[ Thu Sep 29 16:44:09 2022 ] 	Mean training loss: 0.0647. loss2: 0.0000. Mean training acc: 97.60%.
[ Thu Sep 29 16:44:09 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:44:09 2022 ] Eval epoch: 77
[ Thu Sep 29 16:44:16 2022 ] 	Mean test loss of 8 batches: 0.5425672419369221.
[ Thu Sep 29 16:44:16 2022 ] 	Top1: 85.56%
[ Thu Sep 29 16:44:16 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:44:16 2022 ] Training epoch: 78
[ Thu Sep 29 16:45:33 2022 ] 	Mean training loss: 0.0631. loss2: 0.0000. Mean training acc: 97.98%.
[ Thu Sep 29 16:45:33 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:45:33 2022 ] Eval epoch: 78
[ Thu Sep 29 16:45:40 2022 ] 	Mean test loss of 8 batches: 0.5965882018208504.
[ Thu Sep 29 16:45:40 2022 ] 	Top1: 84.70%
[ Thu Sep 29 16:45:40 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:45:40 2022 ] Training epoch: 79
[ Thu Sep 29 16:46:57 2022 ] 	Mean training loss: 0.0274. loss2: 0.0000. Mean training acc: 99.15%.
[ Thu Sep 29 16:46:57 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:46:57 2022 ] Eval epoch: 79
[ Thu Sep 29 16:47:02 2022 ] 	Mean test loss of 8 batches: 0.4738187501206994.
[ Thu Sep 29 16:47:02 2022 ] 	Top1: 86.42%
[ Thu Sep 29 16:47:02 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:47:02 2022 ] Training epoch: 80
[ Thu Sep 29 16:48:27 2022 ] 	Mean training loss: 0.0316. loss2: 0.0000. Mean training acc: 98.86%.
[ Thu Sep 29 16:48:27 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:48:27 2022 ] Eval epoch: 80
[ Thu Sep 29 16:48:33 2022 ] 	Mean test loss of 8 batches: 0.60846097022295.
[ Thu Sep 29 16:48:33 2022 ] 	Top1: 87.07%
[ Thu Sep 29 16:48:33 2022 ] 	Top5: 97.84%
[ Thu Sep 29 16:48:33 2022 ] Training epoch: 81
[ Thu Sep 29 16:49:54 2022 ] 	Mean training loss: 0.0422. loss2: 0.0000. Mean training acc: 98.64%.
[ Thu Sep 29 16:49:54 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:49:55 2022 ] Eval epoch: 81
[ Thu Sep 29 16:49:59 2022 ] 	Mean test loss of 8 batches: 0.5220375042408705.
[ Thu Sep 29 16:49:59 2022 ] 	Top1: 88.15%
[ Thu Sep 29 16:49:59 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:49:59 2022 ] Training epoch: 82
[ Thu Sep 29 16:51:22 2022 ] 	Mean training loss: 0.0369. loss2: 0.0000. Mean training acc: 98.80%.
[ Thu Sep 29 16:51:22 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:51:23 2022 ] Eval epoch: 82
[ Thu Sep 29 16:51:28 2022 ] 	Mean test loss of 8 batches: 0.548965985653922.
[ Thu Sep 29 16:51:28 2022 ] 	Top1: 85.78%
[ Thu Sep 29 16:51:28 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:51:28 2022 ] Training epoch: 83
[ Thu Sep 29 16:52:49 2022 ] 	Mean training loss: 0.0463. loss2: 0.0000. Mean training acc: 98.43%.
[ Thu Sep 29 16:52:49 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:52:50 2022 ] Eval epoch: 83
[ Thu Sep 29 16:52:54 2022 ] 	Mean test loss of 8 batches: 0.5182848991826177.
[ Thu Sep 29 16:52:54 2022 ] 	Top1: 87.28%
[ Thu Sep 29 16:52:54 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:52:54 2022 ] Training epoch: 84
[ Thu Sep 29 16:54:14 2022 ] 	Mean training loss: 0.0573. loss2: 0.0000. Mean training acc: 98.09%.
[ Thu Sep 29 16:54:14 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:54:14 2022 ] Eval epoch: 84
[ Thu Sep 29 16:54:19 2022 ] 	Mean test loss of 8 batches: 0.7188731580972672.
[ Thu Sep 29 16:54:19 2022 ] 	Top1: 82.97%
[ Thu Sep 29 16:54:19 2022 ] 	Top5: 97.84%
[ Thu Sep 29 16:54:19 2022 ] Training epoch: 85
[ Thu Sep 29 16:55:41 2022 ] 	Mean training loss: 0.0760. loss2: 0.0000. Mean training acc: 97.46%.
[ Thu Sep 29 16:55:41 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:55:41 2022 ] Eval epoch: 85
[ Thu Sep 29 16:55:46 2022 ] 	Mean test loss of 8 batches: 0.5009253202006221.
[ Thu Sep 29 16:55:46 2022 ] 	Top1: 86.64%
[ Thu Sep 29 16:55:46 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:55:46 2022 ] Training epoch: 86
[ Thu Sep 29 16:57:11 2022 ] 	Mean training loss: 0.0636. loss2: 0.0000. Mean training acc: 97.96%.
[ Thu Sep 29 16:57:11 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:57:11 2022 ] Eval epoch: 86
[ Thu Sep 29 16:57:16 2022 ] 	Mean test loss of 8 batches: 0.575594587251544.
[ Thu Sep 29 16:57:16 2022 ] 	Top1: 84.27%
[ Thu Sep 29 16:57:16 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:57:16 2022 ] Training epoch: 87
[ Thu Sep 29 16:58:38 2022 ] 	Mean training loss: 0.0459. loss2: 0.0000. Mean training acc: 98.57%.
[ Thu Sep 29 16:58:38 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:58:38 2022 ] Eval epoch: 87
[ Thu Sep 29 16:58:43 2022 ] 	Mean test loss of 8 batches: 0.4696591254323721.
[ Thu Sep 29 16:58:43 2022 ] 	Top1: 87.50%
[ Thu Sep 29 16:58:43 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:58:43 2022 ] Training epoch: 88
[ Thu Sep 29 17:00:08 2022 ] 	Mean training loss: 0.0505. loss2: 0.0000. Mean training acc: 98.58%.
[ Thu Sep 29 17:00:08 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:00:09 2022 ] Eval epoch: 88
[ Thu Sep 29 17:00:14 2022 ] 	Mean test loss of 8 batches: 0.7237251736223698.
[ Thu Sep 29 17:00:14 2022 ] 	Top1: 81.68%
[ Thu Sep 29 17:00:14 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:00:14 2022 ] Training epoch: 89
[ Thu Sep 29 17:01:37 2022 ] 	Mean training loss: 0.0497. loss2: 0.0000. Mean training acc: 98.41%.
[ Thu Sep 29 17:01:37 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:01:37 2022 ] Eval epoch: 89
[ Thu Sep 29 17:01:43 2022 ] 	Mean test loss of 8 batches: 0.46539149805903435.
[ Thu Sep 29 17:01:43 2022 ] 	Top1: 87.72%
[ Thu Sep 29 17:01:43 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:01:43 2022 ] Training epoch: 90
[ Thu Sep 29 17:03:05 2022 ] 	Mean training loss: 0.0570. loss2: 0.0000. Mean training acc: 98.29%.
[ Thu Sep 29 17:03:05 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:03:05 2022 ] Eval epoch: 90
[ Thu Sep 29 17:03:10 2022 ] 	Mean test loss of 8 batches: 0.6570294452831149.
[ Thu Sep 29 17:03:10 2022 ] 	Top1: 83.41%
[ Thu Sep 29 17:03:10 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:03:10 2022 ] Training epoch: 91
[ Thu Sep 29 17:04:31 2022 ] 	Mean training loss: 0.0259. loss2: 0.0000. Mean training acc: 99.21%.
[ Thu Sep 29 17:04:31 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:04:31 2022 ] Eval epoch: 91
[ Thu Sep 29 17:04:37 2022 ] 	Mean test loss of 8 batches: 0.3670736087951809.
[ Thu Sep 29 17:04:37 2022 ] 	Top1: 88.79%
[ Thu Sep 29 17:04:37 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:04:37 2022 ] Training epoch: 92
[ Thu Sep 29 17:05:57 2022 ] 	Mean training loss: 0.0160. loss2: 0.0000. Mean training acc: 99.57%.
[ Thu Sep 29 17:05:57 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:05:57 2022 ] Eval epoch: 92
[ Thu Sep 29 17:06:03 2022 ] 	Mean test loss of 8 batches: 0.3606108180247247.
[ Thu Sep 29 17:06:03 2022 ] 	Top1: 88.58%
[ Thu Sep 29 17:06:03 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:06:03 2022 ] Training epoch: 93
[ Thu Sep 29 17:07:26 2022 ] 	Mean training loss: 0.0151. loss2: 0.0000. Mean training acc: 99.57%.
[ Thu Sep 29 17:07:26 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:07:26 2022 ] Eval epoch: 93
[ Thu Sep 29 17:07:31 2022 ] 	Mean test loss of 8 batches: 0.40743302542250603.
[ Thu Sep 29 17:07:31 2022 ] 	Top1: 87.93%
[ Thu Sep 29 17:07:31 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:07:31 2022 ] Training epoch: 94
[ Thu Sep 29 17:08:53 2022 ] 	Mean training loss: 0.0082. loss2: 0.0000. Mean training acc: 99.80%.
[ Thu Sep 29 17:08:53 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:08:54 2022 ] Eval epoch: 94
[ Thu Sep 29 17:08:59 2022 ] 	Mean test loss of 8 batches: 0.39193117432296276.
[ Thu Sep 29 17:08:59 2022 ] 	Top1: 88.58%
[ Thu Sep 29 17:08:59 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:08:59 2022 ] Training epoch: 95
[ Thu Sep 29 17:10:18 2022 ] 	Mean training loss: 0.0113. loss2: 0.0000. Mean training acc: 99.72%.
[ Thu Sep 29 17:10:18 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:10:19 2022 ] Eval epoch: 95
[ Thu Sep 29 17:10:24 2022 ] 	Mean test loss of 8 batches: 0.3875164861092344.
[ Thu Sep 29 17:10:24 2022 ] 	Top1: 88.36%
[ Thu Sep 29 17:10:24 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:10:24 2022 ] Training epoch: 96
[ Thu Sep 29 17:11:47 2022 ] 	Mean training loss: 0.0126. loss2: 0.0000. Mean training acc: 99.71%.
[ Thu Sep 29 17:11:47 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:11:47 2022 ] Eval epoch: 96
[ Thu Sep 29 17:11:52 2022 ] 	Mean test loss of 8 batches: 0.3599593926919624.
[ Thu Sep 29 17:11:52 2022 ] 	Top1: 88.58%
[ Thu Sep 29 17:11:52 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:11:52 2022 ] Training epoch: 97
[ Thu Sep 29 17:13:13 2022 ] 	Mean training loss: 0.0077. loss2: 0.0000. Mean training acc: 99.88%.
[ Thu Sep 29 17:13:13 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:13:13 2022 ] Eval epoch: 97
[ Thu Sep 29 17:13:19 2022 ] 	Mean test loss of 8 batches: 0.3903887472115457.
[ Thu Sep 29 17:13:19 2022 ] 	Top1: 88.79%
[ Thu Sep 29 17:13:19 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:13:19 2022 ] Training epoch: 98
[ Thu Sep 29 17:14:40 2022 ] 	Mean training loss: 0.0078. loss2: 0.0000. Mean training acc: 99.82%.
[ Thu Sep 29 17:14:40 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:14:40 2022 ] Eval epoch: 98
[ Thu Sep 29 17:14:45 2022 ] 	Mean test loss of 8 batches: 0.3741308590397239.
[ Thu Sep 29 17:14:45 2022 ] 	Top1: 89.01%
[ Thu Sep 29 17:14:45 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:14:45 2022 ] Training epoch: 99
[ Thu Sep 29 17:16:07 2022 ] 	Mean training loss: 0.0054. loss2: 0.0000. Mean training acc: 99.84%.
[ Thu Sep 29 17:16:07 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 17:16:07 2022 ] Eval epoch: 99
[ Thu Sep 29 17:16:13 2022 ] 	Mean test loss of 8 batches: 0.3573279194533825.
[ Thu Sep 29 17:16:13 2022 ] 	Top1: 89.87%
[ Thu Sep 29 17:16:13 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:16:13 2022 ] Training epoch: 100
[ Thu Sep 29 17:17:36 2022 ] 	Mean training loss: 0.0070. loss2: 0.0000. Mean training acc: 99.82%.
[ Thu Sep 29 17:17:36 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:17:36 2022 ] Eval epoch: 100
[ Thu Sep 29 17:17:42 2022 ] 	Mean test loss of 8 batches: 0.358819066779688.
[ Thu Sep 29 17:17:42 2022 ] 	Top1: 89.22%
[ Thu Sep 29 17:17:42 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:17:42 2022 ] Training epoch: 101
[ Thu Sep 29 17:19:03 2022 ] 	Mean training loss: 0.0040. loss2: 0.0000. Mean training acc: 99.94%.
[ Thu Sep 29 17:19:03 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:19:03 2022 ] Eval epoch: 101
[ Thu Sep 29 17:19:09 2022 ] 	Mean test loss of 8 batches: 0.3519695494323969.
[ Thu Sep 29 17:19:09 2022 ] 	Top1: 89.22%
[ Thu Sep 29 17:19:09 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:19:09 2022 ] Training epoch: 102
[ Thu Sep 29 17:20:27 2022 ] 	Mean training loss: 0.0052. loss2: 0.0000. Mean training acc: 99.88%.
[ Thu Sep 29 17:20:27 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:20:27 2022 ] Eval epoch: 102
[ Thu Sep 29 17:20:33 2022 ] 	Mean test loss of 8 batches: 0.35240506276022643.
[ Thu Sep 29 17:20:33 2022 ] 	Top1: 89.22%
[ Thu Sep 29 17:20:33 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:20:33 2022 ] Training epoch: 103
[ Thu Sep 29 17:21:54 2022 ] 	Mean training loss: 0.0055. loss2: 0.0000. Mean training acc: 99.86%.
[ Thu Sep 29 17:21:54 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:21:54 2022 ] Eval epoch: 103
[ Thu Sep 29 17:22:00 2022 ] 	Mean test loss of 8 batches: 0.36454800493083894.
[ Thu Sep 29 17:22:00 2022 ] 	Top1: 89.22%
[ Thu Sep 29 17:22:00 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:22:00 2022 ] Training epoch: 104
[ Thu Sep 29 17:23:18 2022 ] 	Mean training loss: 0.0060. loss2: 0.0000. Mean training acc: 99.88%.
[ Thu Sep 29 17:23:18 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:23:18 2022 ] Eval epoch: 104
[ Thu Sep 29 17:23:24 2022 ] 	Mean test loss of 8 batches: 0.34979748679324985.
[ Thu Sep 29 17:23:24 2022 ] 	Top1: 89.87%
[ Thu Sep 29 17:23:24 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:23:24 2022 ] Training epoch: 105
[ Thu Sep 29 17:24:46 2022 ] 	Mean training loss: 0.0062. loss2: 0.0000. Mean training acc: 99.84%.
[ Thu Sep 29 17:24:46 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:24:46 2022 ] Eval epoch: 105
[ Thu Sep 29 17:24:52 2022 ] 	Mean test loss of 8 batches: 0.33351654605939984.
[ Thu Sep 29 17:24:52 2022 ] 	Top1: 89.87%
[ Thu Sep 29 17:24:52 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:24:52 2022 ] Training epoch: 106
[ Thu Sep 29 17:26:15 2022 ] 	Mean training loss: 0.0050. loss2: 0.0000. Mean training acc: 99.92%.
[ Thu Sep 29 17:26:15 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:26:15 2022 ] Eval epoch: 106
[ Thu Sep 29 17:26:20 2022 ] 	Mean test loss of 8 batches: 0.3645120421424508.
[ Thu Sep 29 17:26:20 2022 ] 	Top1: 89.01%
[ Thu Sep 29 17:26:20 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:26:20 2022 ] Training epoch: 107
[ Thu Sep 29 17:27:41 2022 ] 	Mean training loss: 0.0066. loss2: 0.0000. Mean training acc: 99.88%.
[ Thu Sep 29 17:27:41 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:27:41 2022 ] Eval epoch: 107
[ Thu Sep 29 17:27:47 2022 ] 	Mean test loss of 8 batches: 0.3201003283029422.
[ Thu Sep 29 17:27:47 2022 ] 	Top1: 90.52%
[ Thu Sep 29 17:27:47 2022 ] 	Top5: 99.78%
[ Thu Sep 29 17:27:47 2022 ] Training epoch: 108
[ Thu Sep 29 17:29:08 2022 ] 	Mean training loss: 0.0047. loss2: 0.0000. Mean training acc: 99.88%.
[ Thu Sep 29 17:29:08 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:29:08 2022 ] Eval epoch: 108
[ Thu Sep 29 17:29:14 2022 ] 	Mean test loss of 8 batches: 0.36427377176005393.
[ Thu Sep 29 17:29:14 2022 ] 	Top1: 89.44%
[ Thu Sep 29 17:29:14 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:29:14 2022 ] Training epoch: 109
[ Thu Sep 29 17:30:31 2022 ] 	Mean training loss: 0.0062. loss2: 0.0000. Mean training acc: 99.88%.
[ Thu Sep 29 17:30:31 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:30:32 2022 ] Eval epoch: 109
[ Thu Sep 29 17:30:38 2022 ] 	Mean test loss of 8 batches: 0.3765659152995795.
[ Thu Sep 29 17:30:38 2022 ] 	Top1: 88.36%
[ Thu Sep 29 17:30:38 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:30:38 2022 ] Training epoch: 110
[ Thu Sep 29 17:31:53 2022 ] 	Mean training loss: 0.0076. loss2: 0.0000. Mean training acc: 99.80%.
[ Thu Sep 29 17:31:53 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:31:53 2022 ] Eval epoch: 110
[ Thu Sep 29 17:31:59 2022 ] 	Mean test loss of 8 batches: 0.3596576703712344.
[ Thu Sep 29 17:31:59 2022 ] 	Top1: 89.01%
[ Thu Sep 29 17:31:59 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:32:04 2022 ] Best accuracy: 0.9202586206896551
[ Thu Sep 29 17:32:04 2022 ] Epoch number: 47
[ Thu Sep 29 17:32:04 2022 ] Model name: work_dir/ucla/fc_vel2
[ Thu Sep 29 17:32:04 2022 ] Model total number of params: 2036242
[ Thu Sep 29 17:32:04 2022 ] Weight decay: 0.0001
[ Thu Sep 29 17:32:04 2022 ] Base LR: 0.05
[ Thu Sep 29 17:32:04 2022 ] Batch Size: 16
[ Thu Sep 29 17:32:04 2022 ] Test Batch Size: 64
[ Thu Sep 29 17:32:04 2022 ] seed: 1
