[ Thu Sep 29 14:51:59 2022 ] using warm up, epoch: 5
[ Thu Sep 29 14:52:07 2022 ] Parameters:
{'work_dir': 'work_dir/ucla/fc_bone2', 'model_saved_name': 'work_dir/ucla/fc_bone2/runs', 'config': 'config/ucla/fc_bone.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': 'bone', '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': 'bone', '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': [1], '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 14:52:07 2022 ] # Parameters: 2036242
[ Thu Sep 29 14:52:07 2022 ] Training epoch: 1
[ Thu Sep 29 14:53:21 2022 ] 	Mean training loss: 2.4366. loss2: 0.0000. Mean training acc: 46.99%.
[ Thu Sep 29 14:53:21 2022 ] 	Time consumption: [Data]09%, [Network]89%
[ Thu Sep 29 14:53:21 2022 ] Eval epoch: 1
[ Thu Sep 29 14:53:27 2022 ] 	Mean test loss of 8 batches: 1.6572958678007126.
[ Thu Sep 29 14:53:27 2022 ] 	Top1: 51.51%
[ Thu Sep 29 14:53:27 2022 ] 	Top5: 93.75%
[ Thu Sep 29 14:53:27 2022 ] Training epoch: 2
[ Thu Sep 29 14:54:51 2022 ] 	Mean training loss: 1.2675. loss2: 0.0000. Mean training acc: 60.00%.
[ Thu Sep 29 14:54:51 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 14:54:51 2022 ] Eval epoch: 2
[ Thu Sep 29 14:54:57 2022 ] 	Mean test loss of 8 batches: 1.3643178194761276.
[ Thu Sep 29 14:54:57 2022 ] 	Top1: 51.72%
[ Thu Sep 29 14:54:57 2022 ] 	Top5: 98.71%
[ Thu Sep 29 14:54:57 2022 ] Training epoch: 3
[ Thu Sep 29 14:56:19 2022 ] 	Mean training loss: 1.0591. loss2: 0.0000. Mean training acc: 65.19%.
[ Thu Sep 29 14:56:19 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 14:56:19 2022 ] Eval epoch: 3
[ Thu Sep 29 14:56:26 2022 ] 	Mean test loss of 8 batches: 0.7929327115416527.
[ Thu Sep 29 14:56:26 2022 ] 	Top1: 75.22%
[ Thu Sep 29 14:56:26 2022 ] 	Top5: 98.71%
[ Thu Sep 29 14:56:26 2022 ] Training epoch: 4
[ Thu Sep 29 14:57:48 2022 ] 	Mean training loss: 0.9079. loss2: 0.0000. Mean training acc: 68.22%.
[ Thu Sep 29 14:57:48 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 14:57:48 2022 ] Eval epoch: 4
[ Thu Sep 29 14:57:54 2022 ] 	Mean test loss of 8 batches: 0.859703354537487.
[ Thu Sep 29 14:57:54 2022 ] 	Top1: 70.69%
[ Thu Sep 29 14:57:54 2022 ] 	Top5: 96.34%
[ Thu Sep 29 14:57:54 2022 ] Training epoch: 5
[ Thu Sep 29 14:59:19 2022 ] 	Mean training loss: 0.8185. loss2: 0.0000. Mean training acc: 72.27%.
[ Thu Sep 29 14:59:19 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 14:59:19 2022 ] Eval epoch: 5
[ Thu Sep 29 14:59:25 2022 ] 	Mean test loss of 8 batches: 0.8150700926780701.
[ Thu Sep 29 14:59:25 2022 ] 	Top1: 74.57%
[ Thu Sep 29 14:59:25 2022 ] 	Top5: 98.92%
[ Thu Sep 29 14:59:25 2022 ] Training epoch: 6
[ Thu Sep 29 15:00:49 2022 ] 	Mean training loss: 0.7214. loss2: 0.0000. Mean training acc: 74.94%.
[ Thu Sep 29 15:00:49 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:00:50 2022 ] Eval epoch: 6
[ Thu Sep 29 15:00:55 2022 ] 	Mean test loss of 8 batches: 1.0362525880336761.
[ Thu Sep 29 15:00:55 2022 ] 	Top1: 66.38%
[ Thu Sep 29 15:00:55 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:00:55 2022 ] Training epoch: 7
[ Thu Sep 29 15:02:20 2022 ] 	Mean training loss: 0.6308. loss2: 0.0000. Mean training acc: 77.38%.
[ Thu Sep 29 15:02:20 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:02:20 2022 ] Eval epoch: 7
[ Thu Sep 29 15:02:27 2022 ] 	Mean test loss of 8 batches: 0.5436285734176636.
[ Thu Sep 29 15:02:27 2022 ] 	Top1: 82.11%
[ Thu Sep 29 15:02:27 2022 ] 	Top5: 98.71%
[ Thu Sep 29 15:02:27 2022 ] Training epoch: 8
[ Thu Sep 29 15:03:55 2022 ] 	Mean training loss: 0.5380. loss2: 0.0000. Mean training acc: 79.95%.
[ Thu Sep 29 15:03:55 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:03:55 2022 ] Eval epoch: 8
[ Thu Sep 29 15:04:00 2022 ] 	Mean test loss of 8 batches: 0.6060412190854549.
[ Thu Sep 29 15:04:00 2022 ] 	Top1: 76.51%
[ Thu Sep 29 15:04:00 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:04:00 2022 ] Training epoch: 9
[ Thu Sep 29 15:05:25 2022 ] 	Mean training loss: 0.4811. loss2: 0.0000. Mean training acc: 82.57%.
[ Thu Sep 29 15:05:25 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:05:25 2022 ] Eval epoch: 9
[ Thu Sep 29 15:05:30 2022 ] 	Mean test loss of 8 batches: 0.6263216659426689.
[ Thu Sep 29 15:05:30 2022 ] 	Top1: 78.66%
[ Thu Sep 29 15:05:30 2022 ] 	Top5: 98.71%
[ Thu Sep 29 15:05:30 2022 ] Training epoch: 10
[ Thu Sep 29 15:06:55 2022 ] 	Mean training loss: 0.4594. loss2: 0.0000. Mean training acc: 83.08%.
[ Thu Sep 29 15:06:55 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:06:55 2022 ] Eval epoch: 10
[ Thu Sep 29 15:07:01 2022 ] 	Mean test loss of 8 batches: 0.7863612473011017.
[ Thu Sep 29 15:07:01 2022 ] 	Top1: 75.22%
[ Thu Sep 29 15:07:01 2022 ] 	Top5: 98.71%
[ Thu Sep 29 15:07:01 2022 ] Training epoch: 11
[ Thu Sep 29 15:08:26 2022 ] 	Mean training loss: 0.4072. loss2: 0.0000. Mean training acc: 84.71%.
[ Thu Sep 29 15:08:26 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:08:26 2022 ] Eval epoch: 11
[ Thu Sep 29 15:08:32 2022 ] 	Mean test loss of 8 batches: 1.0716392770409584.
[ Thu Sep 29 15:08:32 2022 ] 	Top1: 79.74%
[ Thu Sep 29 15:08:32 2022 ] 	Top5: 98.71%
[ Thu Sep 29 15:08:32 2022 ] Training epoch: 12
[ Thu Sep 29 15:09:58 2022 ] 	Mean training loss: 0.3875. loss2: 0.0000. Mean training acc: 85.40%.
[ Thu Sep 29 15:09:58 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:09:58 2022 ] Eval epoch: 12
[ Thu Sep 29 15:10:04 2022 ] 	Mean test loss of 8 batches: 0.6575436070561409.
[ Thu Sep 29 15:10:04 2022 ] 	Top1: 79.31%
[ Thu Sep 29 15:10:04 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:10:04 2022 ] Training epoch: 13
[ Thu Sep 29 15:11:28 2022 ] 	Mean training loss: 0.3608. loss2: 0.0000. Mean training acc: 87.09%.
[ Thu Sep 29 15:11:28 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:11:28 2022 ] Eval epoch: 13
[ Thu Sep 29 15:11:34 2022 ] 	Mean test loss of 8 batches: 0.5593880638480186.
[ Thu Sep 29 15:11:34 2022 ] 	Top1: 82.54%
[ Thu Sep 29 15:11:34 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:11:34 2022 ] Training epoch: 14
[ Thu Sep 29 15:12:58 2022 ] 	Mean training loss: 0.3447. loss2: 0.0000. Mean training acc: 87.40%.
[ 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: 0.5446568913757801.
[ Thu Sep 29 15:13:03 2022 ] 	Top1: 84.91%
[ Thu Sep 29 15:13:03 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:13:03 2022 ] Training epoch: 15
[ Thu Sep 29 15:14:24 2022 ] 	Mean training loss: 0.3131. loss2: 0.0000. Mean training acc: 87.95%.
[ Thu Sep 29 15:14:24 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:14:24 2022 ] Eval epoch: 15
[ Thu Sep 29 15:14:29 2022 ] 	Mean test loss of 8 batches: 0.5479421373456717.
[ Thu Sep 29 15:14:29 2022 ] 	Top1: 87.72%
[ Thu Sep 29 15:14:29 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:14:29 2022 ] Training epoch: 16
[ Thu Sep 29 15:15:51 2022 ] 	Mean training loss: 0.2947. loss2: 0.0000. Mean training acc: 89.15%.
[ Thu Sep 29 15:15:51 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:15:51 2022 ] Eval epoch: 16
[ Thu Sep 29 15:15:55 2022 ] 	Mean test loss of 8 batches: 0.48773932456970215.
[ Thu Sep 29 15:15:55 2022 ] 	Top1: 85.78%
[ Thu Sep 29 15:15:55 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:15:55 2022 ] Training epoch: 17
[ Thu Sep 29 15:17:08 2022 ] 	Mean training loss: 0.2694. loss2: 0.0000. Mean training acc: 89.96%.
[ 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 15:17:13 2022 ] 	Mean test loss of 8 batches: 0.5261172093451023.
[ Thu Sep 29 15:17:13 2022 ] 	Top1: 86.42%
[ Thu Sep 29 15:17:13 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:17:13 2022 ] Training epoch: 18
[ Thu Sep 29 15:18:36 2022 ] 	Mean training loss: 0.2931. loss2: 0.0000. Mean training acc: 88.86%.
[ Thu Sep 29 15:18:36 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:18:36 2022 ] Eval epoch: 18
[ Thu Sep 29 15:18:42 2022 ] 	Mean test loss of 8 batches: 0.4294525347650051.
[ Thu Sep 29 15:18:42 2022 ] 	Top1: 89.44%
[ Thu Sep 29 15:18:42 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:18:42 2022 ] Training epoch: 19
[ Thu Sep 29 15:20:07 2022 ] 	Mean training loss: 0.2373. loss2: 0.0000. Mean training acc: 91.59%.
[ Thu Sep 29 15:20:07 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:20:07 2022 ] Eval epoch: 19
[ Thu Sep 29 15:20:12 2022 ] 	Mean test loss of 8 batches: 0.49720732122659683.
[ Thu Sep 29 15:20:12 2022 ] 	Top1: 87.28%
[ Thu Sep 29 15:20:12 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:20:12 2022 ] Training epoch: 20
[ Thu Sep 29 15:21:35 2022 ] 	Mean training loss: 0.2512. loss2: 0.0000. Mean training acc: 91.45%.
[ Thu Sep 29 15:21:35 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:21:35 2022 ] Eval epoch: 20
[ Thu Sep 29 15:21:40 2022 ] 	Mean test loss of 8 batches: 0.4260779321193695.
[ Thu Sep 29 15:21:40 2022 ] 	Top1: 86.21%
[ Thu Sep 29 15:21:40 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:21:40 2022 ] Training epoch: 21
[ Thu Sep 29 15:23:04 2022 ] 	Mean training loss: 0.2304. loss2: 0.0000. Mean training acc: 91.59%.
[ Thu Sep 29 15:23:04 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:23:04 2022 ] Eval epoch: 21
[ Thu Sep 29 15:23:10 2022 ] 	Mean test loss of 8 batches: 0.5870826877653599.
[ Thu Sep 29 15:23:10 2022 ] 	Top1: 84.48%
[ Thu Sep 29 15:23:10 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:23:10 2022 ] Training epoch: 22
[ Thu Sep 29 15:24:36 2022 ] 	Mean training loss: 0.2057. loss2: 0.0000. Mean training acc: 92.45%.
[ Thu Sep 29 15:24:36 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:24:36 2022 ] Eval epoch: 22
[ Thu Sep 29 15:24:41 2022 ] 	Mean test loss of 8 batches: 0.5787307536229491.
[ Thu Sep 29 15:24:41 2022 ] 	Top1: 85.56%
[ Thu Sep 29 15:24:41 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:24:41 2022 ] Training epoch: 23
[ Thu Sep 29 15:26:04 2022 ] 	Mean training loss: 0.1954. loss2: 0.0000. Mean training acc: 92.87%.
[ Thu Sep 29 15:26:04 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:26:04 2022 ] Eval epoch: 23
[ Thu Sep 29 15:26:09 2022 ] 	Mean test loss of 8 batches: 0.4548443937674165.
[ Thu Sep 29 15:26:09 2022 ] 	Top1: 87.07%
[ Thu Sep 29 15:26:09 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:26:09 2022 ] Training epoch: 24
[ Thu Sep 29 15:27:33 2022 ] 	Mean training loss: 0.1891. loss2: 0.0000. Mean training acc: 93.28%.
[ Thu Sep 29 15:27:33 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:27:33 2022 ] Eval epoch: 24
[ Thu Sep 29 15:27:39 2022 ] 	Mean test loss of 8 batches: 0.37037195824086666.
[ Thu Sep 29 15:27:39 2022 ] 	Top1: 90.30%
[ Thu Sep 29 15:27:39 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:27:39 2022 ] Training epoch: 25
[ Thu Sep 29 15:29:04 2022 ] 	Mean training loss: 0.1851. loss2: 0.0000. Mean training acc: 93.57%.
[ Thu Sep 29 15:29:04 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:29:04 2022 ] Eval epoch: 25
[ Thu Sep 29 15:29:10 2022 ] 	Mean test loss of 8 batches: 0.616205858066678.
[ Thu Sep 29 15:29:10 2022 ] 	Top1: 84.05%
[ Thu Sep 29 15:29:10 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:29:10 2022 ] Training epoch: 26
[ Thu Sep 29 15:30:33 2022 ] 	Mean training loss: 0.1770. loss2: 0.0000. Mean training acc: 93.83%.
[ Thu Sep 29 15:30:33 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:30:33 2022 ] Eval epoch: 26
[ Thu Sep 29 15:30:39 2022 ] 	Mean test loss of 8 batches: 0.673456790857017.
[ Thu Sep 29 15:30:39 2022 ] 	Top1: 81.25%
[ Thu Sep 29 15:30:39 2022 ] 	Top5: 98.49%
[ Thu Sep 29 15:30:39 2022 ] Training epoch: 27
[ Thu Sep 29 15:32:05 2022 ] 	Mean training loss: 0.1570. loss2: 0.0000. Mean training acc: 94.50%.
[ Thu Sep 29 15:32:05 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:32:05 2022 ] Eval epoch: 27
[ Thu Sep 29 15:32:12 2022 ] 	Mean test loss of 8 batches: 0.4970552772283554.
[ Thu Sep 29 15:32:12 2022 ] 	Top1: 84.91%
[ Thu Sep 29 15:32:12 2022 ] 	Top5: 98.49%
[ Thu Sep 29 15:32:12 2022 ] Training epoch: 28
[ Thu Sep 29 15:33:34 2022 ] 	Mean training loss: 0.1634. loss2: 0.0000. Mean training acc: 94.50%.
[ Thu Sep 29 15:33:34 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:33:34 2022 ] Eval epoch: 28
[ Thu Sep 29 15:33:40 2022 ] 	Mean test loss of 8 batches: 0.48245408572256565.
[ Thu Sep 29 15:33:40 2022 ] 	Top1: 85.78%
[ Thu Sep 29 15:33:40 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:33:40 2022 ] Training epoch: 29
[ Thu Sep 29 15:35:03 2022 ] 	Mean training loss: 0.1397. loss2: 0.0000. Mean training acc: 95.18%.
[ Thu Sep 29 15:35:03 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:35:03 2022 ] Eval epoch: 29
[ Thu Sep 29 15:35:09 2022 ] 	Mean test loss of 8 batches: 0.5393870789557695.
[ Thu Sep 29 15:35:09 2022 ] 	Top1: 86.42%
[ Thu Sep 29 15:35:09 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:35:09 2022 ] Training epoch: 30
[ Thu Sep 29 15:36:30 2022 ] 	Mean training loss: 0.1402. loss2: 0.0000. Mean training acc: 94.81%.
[ Thu Sep 29 15:36:30 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:36:31 2022 ] Eval epoch: 30
[ Thu Sep 29 15:36:37 2022 ] 	Mean test loss of 8 batches: 0.616724269464612.
[ Thu Sep 29 15:36:37 2022 ] 	Top1: 82.11%
[ Thu Sep 29 15:36:37 2022 ] 	Top5: 98.49%
[ Thu Sep 29 15:36:37 2022 ] Training epoch: 31
[ Thu Sep 29 15:38:01 2022 ] 	Mean training loss: 0.1398. loss2: 0.0000. Mean training acc: 94.91%.
[ Thu Sep 29 15:38:01 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:38:01 2022 ] Eval epoch: 31
[ Thu Sep 29 15:38:08 2022 ] 	Mean test loss of 8 batches: 0.5097799096256495.
[ Thu Sep 29 15:38:08 2022 ] 	Top1: 84.05%
[ Thu Sep 29 15:38:08 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:38:08 2022 ] Training epoch: 32
[ Thu Sep 29 15:39:32 2022 ] 	Mean training loss: 0.1299. loss2: 0.0000. Mean training acc: 95.68%.
[ Thu Sep 29 15:39:32 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:39:32 2022 ] Eval epoch: 32
[ Thu Sep 29 15:39:37 2022 ] 	Mean test loss of 8 batches: 0.5398459117859602.
[ Thu Sep 29 15:39:37 2022 ] 	Top1: 85.13%
[ Thu Sep 29 15:39:37 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:39:37 2022 ] Training epoch: 33
[ Thu Sep 29 15:41:05 2022 ] 	Mean training loss: 0.1396. loss2: 0.0000. Mean training acc: 95.32%.
[ Thu Sep 29 15:41:05 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:41:05 2022 ] Eval epoch: 33
[ Thu Sep 29 15:41:12 2022 ] 	Mean test loss of 8 batches: 0.6027481518685818.
[ Thu Sep 29 15:41:12 2022 ] 	Top1: 84.05%
[ Thu Sep 29 15:41:12 2022 ] 	Top5: 98.49%
[ Thu Sep 29 15:41:12 2022 ] Training epoch: 34
[ Thu Sep 29 15:42:36 2022 ] 	Mean training loss: 0.1359. loss2: 0.0000. Mean training acc: 95.11%.
[ Thu Sep 29 15:42:36 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:42:36 2022 ] Eval epoch: 34
[ Thu Sep 29 15:42:42 2022 ] 	Mean test loss of 8 batches: 0.5809158813208342.
[ Thu Sep 29 15:42:42 2022 ] 	Top1: 87.28%
[ Thu Sep 29 15:42:42 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:42:42 2022 ] Training epoch: 35
[ Thu Sep 29 15:44:07 2022 ] 	Mean training loss: 0.1114. loss2: 0.0000. Mean training acc: 95.95%.
[ Thu Sep 29 15:44:07 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:44:07 2022 ] Eval epoch: 35
[ Thu Sep 29 15:44:13 2022 ] 	Mean test loss of 8 batches: 0.4934814893640578.
[ Thu Sep 29 15:44:13 2022 ] 	Top1: 88.36%
[ Thu Sep 29 15:44:13 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:44:13 2022 ] Training epoch: 36
[ Thu Sep 29 15:45:36 2022 ] 	Mean training loss: 0.1198. loss2: 0.0000. Mean training acc: 95.87%.
[ Thu Sep 29 15:45:36 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:45:36 2022 ] Eval epoch: 36
[ Thu Sep 29 15:45:42 2022 ] 	Mean test loss of 8 batches: 0.7800110038369894.
[ Thu Sep 29 15:45:42 2022 ] 	Top1: 83.84%
[ Thu Sep 29 15:45:42 2022 ] 	Top5: 97.84%
[ Thu Sep 29 15:45:42 2022 ] Training epoch: 37
[ Thu Sep 29 15:47:07 2022 ] 	Mean training loss: 0.1283. loss2: 0.0000. Mean training acc: 95.60%.
[ Thu Sep 29 15:47:07 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:47:07 2022 ] Eval epoch: 37
[ Thu Sep 29 15:47:12 2022 ] 	Mean test loss of 8 batches: 0.6266404818743467.
[ Thu Sep 29 15:47:12 2022 ] 	Top1: 82.11%
[ Thu Sep 29 15:47:12 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:47:12 2022 ] Training epoch: 38
[ Thu Sep 29 15:48:35 2022 ] 	Mean training loss: 0.1122. loss2: 0.0000. Mean training acc: 96.42%.
[ Thu Sep 29 15:48:35 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:48:35 2022 ] Eval epoch: 38
[ Thu Sep 29 15:48:40 2022 ] 	Mean test loss of 8 batches: 0.36368441488593817.
[ Thu Sep 29 15:48:40 2022 ] 	Top1: 90.95%
[ Thu Sep 29 15:48:40 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:48:40 2022 ] Training epoch: 39
[ Thu Sep 29 15:50:04 2022 ] 	Mean training loss: 0.0950. loss2: 0.0000. Mean training acc: 96.64%.
[ Thu Sep 29 15:50:04 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:50:05 2022 ] Eval epoch: 39
[ Thu Sep 29 15:50:09 2022 ] 	Mean test loss of 8 batches: 0.46847607009112835.
[ Thu Sep 29 15:50:09 2022 ] 	Top1: 84.05%
[ Thu Sep 29 15:50:09 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:50:09 2022 ] Training epoch: 40
[ Thu Sep 29 15:51:33 2022 ] 	Mean training loss: 0.1232. loss2: 0.0000. Mean training acc: 95.77%.
[ Thu Sep 29 15:51:33 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:51:33 2022 ] Eval epoch: 40
[ Thu Sep 29 15:51:39 2022 ] 	Mean test loss of 8 batches: 0.5791055746376514.
[ Thu Sep 29 15:51:39 2022 ] 	Top1: 83.62%
[ Thu Sep 29 15:51:39 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:51:39 2022 ] Training epoch: 41
[ Thu Sep 29 15:53:04 2022 ] 	Mean training loss: 0.1049. loss2: 0.0000. Mean training acc: 96.50%.
[ Thu Sep 29 15:53:04 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:53:04 2022 ] Eval epoch: 41
[ Thu Sep 29 15:53:09 2022 ] 	Mean test loss of 8 batches: 0.6882697977125645.
[ Thu Sep 29 15:53:09 2022 ] 	Top1: 83.62%
[ Thu Sep 29 15:53:09 2022 ] 	Top5: 98.71%
[ Thu Sep 29 15:53:09 2022 ] Training epoch: 42
[ Thu Sep 29 15:54:33 2022 ] 	Mean training loss: 0.0901. loss2: 0.0000. Mean training acc: 96.97%.
[ Thu Sep 29 15:54:33 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:54:33 2022 ] Eval epoch: 42
[ Thu Sep 29 15:54:39 2022 ] 	Mean test loss of 8 batches: 0.5206725373864174.
[ Thu Sep 29 15:54:39 2022 ] 	Top1: 85.13%
[ Thu Sep 29 15:54:39 2022 ] 	Top5: 98.71%
[ Thu Sep 29 15:54:39 2022 ] Training epoch: 43
[ Thu Sep 29 15:56:04 2022 ] 	Mean training loss: 0.0924. loss2: 0.0000. Mean training acc: 96.91%.
[ Thu Sep 29 15:56:04 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 15:56:05 2022 ] Eval epoch: 43
[ Thu Sep 29 15:56:11 2022 ] 	Mean test loss of 8 batches: 0.4471925050020218.
[ Thu Sep 29 15:56:11 2022 ] 	Top1: 88.36%
[ Thu Sep 29 15:56:11 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:56:11 2022 ] Training epoch: 44
[ Thu Sep 29 15:57:37 2022 ] 	Mean training loss: 0.0650. loss2: 0.0000. Mean training acc: 97.82%.
[ Thu Sep 29 15:57:37 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:57:37 2022 ] Eval epoch: 44
[ Thu Sep 29 15:57:43 2022 ] 	Mean test loss of 8 batches: 0.43119439762085676.
[ Thu Sep 29 15:57:43 2022 ] 	Top1: 90.52%
[ Thu Sep 29 15:57:43 2022 ] 	Top5: 97.84%
[ Thu Sep 29 15:57:43 2022 ] Training epoch: 45
[ Thu Sep 29 15:59:09 2022 ] 	Mean training loss: 0.1034. loss2: 0.0000. Mean training acc: 96.23%.
[ Thu Sep 29 15:59:09 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:59:10 2022 ] Eval epoch: 45
[ Thu Sep 29 15:59:16 2022 ] 	Mean test loss of 8 batches: 0.45086266100406647.
[ Thu Sep 29 15:59:16 2022 ] 	Top1: 85.34%
[ Thu Sep 29 15:59:16 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:59:16 2022 ] Training epoch: 46
[ Thu Sep 29 16:00:40 2022 ] 	Mean training loss: 0.0945. loss2: 0.0000. Mean training acc: 96.56%.
[ Thu Sep 29 16:00:40 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:00:41 2022 ] Eval epoch: 46
[ Thu Sep 29 16:00:47 2022 ] 	Mean test loss of 8 batches: 0.3846626942977309.
[ Thu Sep 29 16:00:47 2022 ] 	Top1: 90.30%
[ Thu Sep 29 16:00:47 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:00:47 2022 ] Training epoch: 47
[ Thu Sep 29 16:02:11 2022 ] 	Mean training loss: 0.0899. loss2: 0.0000. Mean training acc: 96.72%.
[ Thu Sep 29 16:02:11 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:02:11 2022 ] Eval epoch: 47
[ Thu Sep 29 16:02:17 2022 ] 	Mean test loss of 8 batches: 0.4433870203793049.
[ Thu Sep 29 16:02:17 2022 ] 	Top1: 86.42%
[ Thu Sep 29 16:02:17 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:02:17 2022 ] Training epoch: 48
[ Thu Sep 29 16:03:45 2022 ] 	Mean training loss: 0.0691. loss2: 0.0000. Mean training acc: 97.54%.
[ Thu Sep 29 16:03:45 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:03:46 2022 ] Eval epoch: 48
[ Thu Sep 29 16:03:50 2022 ] 	Mean test loss of 8 batches: 0.5470717195421457.
[ Thu Sep 29 16:03:50 2022 ] 	Top1: 86.21%
[ Thu Sep 29 16:03:50 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:03:50 2022 ] Training epoch: 49
[ Thu Sep 29 16:05:17 2022 ] 	Mean training loss: 0.0957. loss2: 0.0000. Mean training acc: 96.64%.
[ Thu Sep 29 16:05:17 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:05:17 2022 ] Eval epoch: 49
[ Thu Sep 29 16:05:22 2022 ] 	Mean test loss of 8 batches: 0.631974995136261.
[ Thu Sep 29 16:05:22 2022 ] 	Top1: 85.56%
[ Thu Sep 29 16:05:22 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:05:22 2022 ] Training epoch: 50
[ Thu Sep 29 16:06:45 2022 ] 	Mean training loss: 0.0784. loss2: 0.0000. Mean training acc: 97.29%.
[ Thu Sep 29 16:06:45 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:06:45 2022 ] Eval epoch: 50
[ Thu Sep 29 16:06:50 2022 ] 	Mean test loss of 8 batches: 0.6479081884026527.
[ Thu Sep 29 16:06:50 2022 ] 	Top1: 81.25%
[ Thu Sep 29 16:06:50 2022 ] 	Top5: 98.06%
[ Thu Sep 29 16:06:50 2022 ] Training epoch: 51
[ Thu Sep 29 16:08:15 2022 ] 	Mean training loss: 0.0731. loss2: 0.0000. Mean training acc: 97.35%.
[ Thu Sep 29 16:08:15 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:08:15 2022 ] Eval epoch: 51
[ Thu Sep 29 16:08:21 2022 ] 	Mean test loss of 8 batches: 0.5167427882552147.
[ Thu Sep 29 16:08:21 2022 ] 	Top1: 89.44%
[ Thu Sep 29 16:08:21 2022 ] 	Top5: 98.49%
[ Thu Sep 29 16:08:21 2022 ] Training epoch: 52
[ Thu Sep 29 16:09:44 2022 ] 	Mean training loss: 0.0630. loss2: 0.0000. Mean training acc: 97.80%.
[ Thu Sep 29 16:09:44 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:09:44 2022 ] Eval epoch: 52
[ Thu Sep 29 16:09:50 2022 ] 	Mean test loss of 8 batches: 0.4755175616592169.
[ Thu Sep 29 16:09:50 2022 ] 	Top1: 86.85%
[ Thu Sep 29 16:09:50 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:09:50 2022 ] Training epoch: 53
[ Thu Sep 29 16:11:16 2022 ] 	Mean training loss: 0.0591. loss2: 0.0000. Mean training acc: 97.92%.
[ Thu Sep 29 16:11:16 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:11:16 2022 ] Eval epoch: 53
[ Thu Sep 29 16:11:23 2022 ] 	Mean test loss of 8 batches: 0.48711190465837717.
[ Thu Sep 29 16:11:23 2022 ] 	Top1: 87.07%
[ Thu Sep 29 16:11:23 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:11:23 2022 ] Training epoch: 54
[ Thu Sep 29 16:12:49 2022 ] 	Mean training loss: 0.0761. loss2: 0.0000. Mean training acc: 97.44%.
[ Thu Sep 29 16:12:49 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:12:49 2022 ] Eval epoch: 54
[ Thu Sep 29 16:12:55 2022 ] 	Mean test loss of 8 batches: 0.46112686302512884.
[ Thu Sep 29 16:12:55 2022 ] 	Top1: 87.07%
[ Thu Sep 29 16:12:55 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:12:55 2022 ] Training epoch: 55
[ Thu Sep 29 16:14:18 2022 ] 	Mean training loss: 0.0762. loss2: 0.0000. Mean training acc: 97.39%.
[ Thu Sep 29 16:14:18 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:14:18 2022 ] Eval epoch: 55
[ Thu Sep 29 16:14:24 2022 ] 	Mean test loss of 8 batches: 0.4681915082037449.
[ Thu Sep 29 16:14:24 2022 ] 	Top1: 90.09%
[ Thu Sep 29 16:14:24 2022 ] 	Top5: 98.49%
[ Thu Sep 29 16:14:24 2022 ] Training epoch: 56
[ Thu Sep 29 16:15:47 2022 ] 	Mean training loss: 0.0785. loss2: 0.0000. Mean training acc: 97.50%.
[ Thu Sep 29 16:15:47 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:15:47 2022 ] Eval epoch: 56
[ Thu Sep 29 16:15:54 2022 ] 	Mean test loss of 8 batches: 0.4320446215569973.
[ Thu Sep 29 16:15:54 2022 ] 	Top1: 89.66%
[ Thu Sep 29 16:15:54 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:15:54 2022 ] Training epoch: 57
[ Thu Sep 29 16:17:17 2022 ] 	Mean training loss: 0.0662. loss2: 0.0000. Mean training acc: 97.90%.
[ Thu Sep 29 16:17:17 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:17:17 2022 ] Eval epoch: 57
[ Thu Sep 29 16:17:23 2022 ] 	Mean test loss of 8 batches: 0.4829363115131855.
[ Thu Sep 29 16:17:23 2022 ] 	Top1: 86.64%
[ Thu Sep 29 16:17:23 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:17:23 2022 ] Training epoch: 58
[ Thu Sep 29 16:18:45 2022 ] 	Mean training loss: 0.0658. loss2: 0.0000. Mean training acc: 97.76%.
[ Thu Sep 29 16:18:45 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:18:46 2022 ] Eval epoch: 58
[ Thu Sep 29 16:18:51 2022 ] 	Mean test loss of 8 batches: 0.45598484948277473.
[ Thu Sep 29 16:18:51 2022 ] 	Top1: 88.15%
[ Thu Sep 29 16:18:51 2022 ] 	Top5: 98.49%
[ Thu Sep 29 16:18:51 2022 ] Training epoch: 59
[ Thu Sep 29 16:20:15 2022 ] 	Mean training loss: 0.0741. loss2: 0.0000. Mean training acc: 97.48%.
[ Thu Sep 29 16:20:15 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:20:15 2022 ] Eval epoch: 59
[ Thu Sep 29 16:20:22 2022 ] 	Mean test loss of 8 batches: 0.4627215685322881.
[ Thu Sep 29 16:20:22 2022 ] 	Top1: 88.58%
[ Thu Sep 29 16:20:22 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:20:22 2022 ] Training epoch: 60
[ Thu Sep 29 16:21:45 2022 ] 	Mean training loss: 0.0578. loss2: 0.0000. Mean training acc: 97.82%.
[ Thu Sep 29 16:21:45 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:21:45 2022 ] Eval epoch: 60
[ Thu Sep 29 16:21:50 2022 ] 	Mean test loss of 8 batches: 0.6875129428226501.
[ Thu Sep 29 16:21:50 2022 ] 	Top1: 85.56%
[ Thu Sep 29 16:21:50 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:21:50 2022 ] Training epoch: 61
[ Thu Sep 29 16:23:16 2022 ] 	Mean training loss: 0.0575. loss2: 0.0000. Mean training acc: 98.13%.
[ Thu Sep 29 16:23:16 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:23:17 2022 ] Eval epoch: 61
[ Thu Sep 29 16:23:23 2022 ] 	Mean test loss of 8 batches: 0.4795513655990362.
[ Thu Sep 29 16:23:23 2022 ] 	Top1: 87.93%
[ Thu Sep 29 16:23:23 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:23:23 2022 ] Training epoch: 62
[ Thu Sep 29 16:24:47 2022 ] 	Mean training loss: 0.0532. loss2: 0.0000. Mean training acc: 98.27%.
[ Thu Sep 29 16:24:47 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:24:47 2022 ] Eval epoch: 62
[ Thu Sep 29 16:24:53 2022 ] 	Mean test loss of 8 batches: 0.670728862285614.
[ Thu Sep 29 16:24:53 2022 ] 	Top1: 81.47%
[ Thu Sep 29 16:24:53 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:24:53 2022 ] Training epoch: 63
[ Thu Sep 29 16:26:19 2022 ] 	Mean training loss: 0.0531. loss2: 0.0000. Mean training acc: 98.29%.
[ Thu Sep 29 16:26:19 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:26:19 2022 ] Eval epoch: 63
[ Thu Sep 29 16:26:25 2022 ] 	Mean test loss of 8 batches: 0.4954964704811573.
[ Thu Sep 29 16:26:25 2022 ] 	Top1: 88.79%
[ Thu Sep 29 16:26:25 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:26:25 2022 ] Training epoch: 64
[ Thu Sep 29 16:27:51 2022 ] 	Mean training loss: 0.0566. loss2: 0.0000. Mean training acc: 98.23%.
[ Thu Sep 29 16:27:51 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:27:51 2022 ] Eval epoch: 64
[ Thu Sep 29 16:27:57 2022 ] 	Mean test loss of 8 batches: 0.40817201882600784.
[ Thu Sep 29 16:27:57 2022 ] 	Top1: 88.58%
[ Thu Sep 29 16:27:57 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:27:57 2022 ] Training epoch: 65
[ Thu Sep 29 16:29:21 2022 ] 	Mean training loss: 0.0616. loss2: 0.0000. Mean training acc: 98.03%.
[ Thu Sep 29 16:29:21 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:29:21 2022 ] Eval epoch: 65
[ Thu Sep 29 16:29:28 2022 ] 	Mean test loss of 8 batches: 0.4296276308596134.
[ Thu Sep 29 16:29:28 2022 ] 	Top1: 87.72%
[ Thu Sep 29 16:29:28 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:29:28 2022 ] Training epoch: 66
[ Thu Sep 29 16:30:53 2022 ] 	Mean training loss: 0.0617. loss2: 0.0000. Mean training acc: 97.84%.
[ Thu Sep 29 16:30:53 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:30:53 2022 ] Eval epoch: 66
[ Thu Sep 29 16:30:59 2022 ] 	Mean test loss of 8 batches: 0.387516129296273.
[ Thu Sep 29 16:30:59 2022 ] 	Top1: 90.95%
[ Thu Sep 29 16:30:59 2022 ] 	Top5: 98.28%
[ Thu Sep 29 16:30:59 2022 ] Training epoch: 67
[ Thu Sep 29 16:32:22 2022 ] 	Mean training loss: 0.0620. loss2: 0.0000. Mean training acc: 97.94%.
[ Thu Sep 29 16:32:22 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:32:22 2022 ] Eval epoch: 67
[ Thu Sep 29 16:32:28 2022 ] 	Mean test loss of 8 batches: 0.5429294686764479.
[ Thu Sep 29 16:32:28 2022 ] 	Top1: 87.07%
[ Thu Sep 29 16:32:28 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:32:28 2022 ] Training epoch: 68
[ Thu Sep 29 16:33:53 2022 ] 	Mean training loss: 0.0678. loss2: 0.0000. Mean training acc: 97.84%.
[ Thu Sep 29 16:33:53 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:33:53 2022 ] Eval epoch: 68
[ Thu Sep 29 16:33:59 2022 ] 	Mean test loss of 8 batches: 0.40565396659076214.
[ Thu Sep 29 16:33:59 2022 ] 	Top1: 89.01%
[ Thu Sep 29 16:33:59 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:33:59 2022 ] Training epoch: 69
[ Thu Sep 29 16:35:24 2022 ] 	Mean training loss: 0.0555. loss2: 0.0000. Mean training acc: 98.01%.
[ Thu Sep 29 16:35:24 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:35:24 2022 ] Eval epoch: 69
[ Thu Sep 29 16:35:30 2022 ] 	Mean test loss of 8 batches: 0.359518863260746.
[ Thu Sep 29 16:35:30 2022 ] 	Top1: 90.52%
[ Thu Sep 29 16:35:30 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:35:30 2022 ] Training epoch: 70
[ Thu Sep 29 16:36:56 2022 ] 	Mean training loss: 0.0507. loss2: 0.0000. Mean training acc: 98.45%.
[ Thu Sep 29 16:36:56 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:36:56 2022 ] Eval epoch: 70
[ Thu Sep 29 16:37:01 2022 ] 	Mean test loss of 8 batches: 0.4631503662094474.
[ Thu Sep 29 16:37:01 2022 ] 	Top1: 87.28%
[ Thu Sep 29 16:37:01 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:37:01 2022 ] Training epoch: 71
[ Thu Sep 29 16:38:28 2022 ] 	Mean training loss: 0.0494. loss2: 0.0000. Mean training acc: 98.29%.
[ Thu Sep 29 16:38:28 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:38:28 2022 ] Eval epoch: 71
[ Thu Sep 29 16:38:34 2022 ] 	Mean test loss of 8 batches: 0.46942970901727676.
[ Thu Sep 29 16:38:34 2022 ] 	Top1: 86.85%
[ Thu Sep 29 16:38:34 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:38:34 2022 ] Training epoch: 72
[ Thu Sep 29 16:39:57 2022 ] 	Mean training loss: 0.0613. loss2: 0.0000. Mean training acc: 97.86%.
[ Thu Sep 29 16:39:57 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:39:57 2022 ] Eval epoch: 72
[ Thu Sep 29 16:40:03 2022 ] 	Mean test loss of 8 batches: 0.3626042380928993.
[ Thu Sep 29 16:40:03 2022 ] 	Top1: 91.59%
[ Thu Sep 29 16:40:03 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:40:03 2022 ] Training epoch: 73
[ Thu Sep 29 16:41:30 2022 ] 	Mean training loss: 0.0378. loss2: 0.0000. Mean training acc: 98.80%.
[ Thu Sep 29 16:41:30 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:41:30 2022 ] Eval epoch: 73
[ Thu Sep 29 16:41:37 2022 ] 	Mean test loss of 8 batches: 0.5173419322818518.
[ Thu Sep 29 16:41:37 2022 ] 	Top1: 86.85%
[ Thu Sep 29 16:41:37 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:41:37 2022 ] Training epoch: 74
[ Thu Sep 29 16:43:02 2022 ] 	Mean training loss: 0.0329. loss2: 0.0000. Mean training acc: 98.82%.
[ Thu Sep 29 16:43:02 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:43:03 2022 ] Eval epoch: 74
[ Thu Sep 29 16:43:08 2022 ] 	Mean test loss of 8 batches: 0.38538702577352524.
[ Thu Sep 29 16:43:08 2022 ] 	Top1: 89.87%
[ Thu Sep 29 16:43:08 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:43:08 2022 ] Training epoch: 75
[ Thu Sep 29 16:44:33 2022 ] 	Mean training loss: 0.0518. loss2: 0.0000. Mean training acc: 98.35%.
[ Thu Sep 29 16:44:33 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:44:33 2022 ] Eval epoch: 75
[ Thu Sep 29 16:44:40 2022 ] 	Mean test loss of 8 batches: 0.52405596524477.
[ Thu Sep 29 16:44:40 2022 ] 	Top1: 87.07%
[ Thu Sep 29 16:44:40 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:44:40 2022 ] Training epoch: 76
[ Thu Sep 29 16:46:03 2022 ] 	Mean training loss: 0.0653. loss2: 0.0000. Mean training acc: 97.82%.
[ Thu Sep 29 16:46:03 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:46:03 2022 ] Eval epoch: 76
[ Thu Sep 29 16:46:09 2022 ] 	Mean test loss of 8 batches: 0.5461133606731892.
[ Thu Sep 29 16:46:09 2022 ] 	Top1: 83.84%
[ Thu Sep 29 16:46:09 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:46:09 2022 ] Training epoch: 77
[ Thu Sep 29 16:47:36 2022 ] 	Mean training loss: 0.0500. loss2: 0.0000. Mean training acc: 98.35%.
[ Thu Sep 29 16:47:36 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:47:36 2022 ] Eval epoch: 77
[ Thu Sep 29 16:47:42 2022 ] 	Mean test loss of 8 batches: 0.28232850786298513.
[ Thu Sep 29 16:47:42 2022 ] 	Top1: 92.03%
[ Thu Sep 29 16:47:42 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:47:42 2022 ] Training epoch: 78
[ Thu Sep 29 16:49:04 2022 ] 	Mean training loss: 0.0450. loss2: 0.0000. Mean training acc: 98.60%.
[ Thu Sep 29 16:49:04 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:49:04 2022 ] Eval epoch: 78
[ Thu Sep 29 16:49:10 2022 ] 	Mean test loss of 8 batches: 0.45408859103918076.
[ Thu Sep 29 16:49:10 2022 ] 	Top1: 87.50%
[ Thu Sep 29 16:49:10 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:49:10 2022 ] Training epoch: 79
[ Thu Sep 29 16:50:35 2022 ] 	Mean training loss: 0.0455. loss2: 0.0000. Mean training acc: 98.70%.
[ Thu Sep 29 16:50:35 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:50:36 2022 ] Eval epoch: 79
[ Thu Sep 29 16:50:41 2022 ] 	Mean test loss of 8 batches: 0.48397925216704607.
[ Thu Sep 29 16:50:41 2022 ] 	Top1: 87.50%
[ Thu Sep 29 16:50:41 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:50:41 2022 ] Training epoch: 80
[ Thu Sep 29 16:52:03 2022 ] 	Mean training loss: 0.0535. loss2: 0.0000. Mean training acc: 98.37%.
[ Thu Sep 29 16:52:03 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:52:03 2022 ] Eval epoch: 80
[ Thu Sep 29 16:52:10 2022 ] 	Mean test loss of 8 batches: 0.5322037972509861.
[ Thu Sep 29 16:52:10 2022 ] 	Top1: 85.34%
[ Thu Sep 29 16:52:10 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:52:10 2022 ] Training epoch: 81
[ Thu Sep 29 16:53:32 2022 ] 	Mean training loss: 0.0505. loss2: 0.0000. Mean training acc: 98.23%.
[ Thu Sep 29 16:53:32 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 16:53:32 2022 ] Eval epoch: 81
[ Thu Sep 29 16:53:39 2022 ] 	Mean test loss of 8 batches: 0.4465991463512182.
[ Thu Sep 29 16:53:39 2022 ] 	Top1: 88.36%
[ Thu Sep 29 16:53:39 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:53:39 2022 ] Training epoch: 82
[ Thu Sep 29 16:54:59 2022 ] 	Mean training loss: 0.0472. loss2: 0.0000. Mean training acc: 98.55%.
[ Thu Sep 29 16:54:59 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:54:59 2022 ] Eval epoch: 82
[ Thu Sep 29 16:55:06 2022 ] 	Mean test loss of 8 batches: 0.4125065263360739.
[ Thu Sep 29 16:55:06 2022 ] 	Top1: 89.22%
[ Thu Sep 29 16:55:06 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:55:06 2022 ] Training epoch: 83
[ Thu Sep 29 16:56:32 2022 ] 	Mean training loss: 0.0451. loss2: 0.0000. Mean training acc: 98.33%.
[ Thu Sep 29 16:56:32 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:56:32 2022 ] Eval epoch: 83
[ Thu Sep 29 16:56:38 2022 ] 	Mean test loss of 8 batches: 0.3622196093201637.
[ Thu Sep 29 16:56:38 2022 ] 	Top1: 90.09%
[ Thu Sep 29 16:56:38 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:56:38 2022 ] Training epoch: 84
[ Thu Sep 29 16:58:02 2022 ] 	Mean training loss: 0.0484. loss2: 0.0000. Mean training acc: 98.45%.
[ Thu Sep 29 16:58:02 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:58:02 2022 ] Eval epoch: 84
[ Thu Sep 29 16:58:10 2022 ] 	Mean test loss of 8 batches: 0.3686520829796791.
[ Thu Sep 29 16:58:10 2022 ] 	Top1: 91.16%
[ Thu Sep 29 16:58:10 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:58:10 2022 ] Training epoch: 85
[ Thu Sep 29 16:59:35 2022 ] 	Mean training loss: 0.0300. loss2: 0.0000. Mean training acc: 99.08%.
[ Thu Sep 29 16:59:35 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:59:36 2022 ] Eval epoch: 85
[ Thu Sep 29 16:59:42 2022 ] 	Mean test loss of 8 batches: 0.6413437947630882.
[ Thu Sep 29 16:59:42 2022 ] 	Top1: 86.21%
[ Thu Sep 29 16:59:42 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:59:42 2022 ] Training epoch: 86
[ Thu Sep 29 17:01:05 2022 ] 	Mean training loss: 0.0908. loss2: 0.0000. Mean training acc: 97.23%.
[ Thu Sep 29 17:01:05 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:01:05 2022 ] Eval epoch: 86
[ Thu Sep 29 17:01:12 2022 ] 	Mean test loss of 8 batches: 0.8758169859647751.
[ Thu Sep 29 17:01:12 2022 ] 	Top1: 77.59%
[ Thu Sep 29 17:01:12 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:01:12 2022 ] Training epoch: 87
[ Thu Sep 29 17:02:35 2022 ] 	Mean training loss: 0.0672. loss2: 0.0000. Mean training acc: 97.60%.
[ Thu Sep 29 17:02:35 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:02:35 2022 ] Eval epoch: 87
[ Thu Sep 29 17:02:41 2022 ] 	Mean test loss of 8 batches: 0.3811836512759328.
[ Thu Sep 29 17:02:41 2022 ] 	Top1: 90.30%
[ Thu Sep 29 17:02:41 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:02:41 2022 ] Training epoch: 88
[ Thu Sep 29 17:04:04 2022 ] 	Mean training loss: 0.0381. loss2: 0.0000. Mean training acc: 98.84%.
[ Thu Sep 29 17:04:04 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 17:04:04 2022 ] Eval epoch: 88
[ Thu Sep 29 17:04:11 2022 ] 	Mean test loss of 8 batches: 0.39653791673481464.
[ Thu Sep 29 17:04:11 2022 ] 	Top1: 88.36%
[ Thu Sep 29 17:04:11 2022 ] 	Top5: 99.78%
[ Thu Sep 29 17:04:11 2022 ] Training epoch: 89
[ Thu Sep 29 17:05:34 2022 ] 	Mean training loss: 0.0515. loss2: 0.0000. Mean training acc: 98.35%.
[ Thu Sep 29 17:05:34 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:05:34 2022 ] Eval epoch: 89
[ Thu Sep 29 17:05:40 2022 ] 	Mean test loss of 8 batches: 0.5153069980442524.
[ Thu Sep 29 17:05:40 2022 ] 	Top1: 86.85%
[ Thu Sep 29 17:05:40 2022 ] 	Top5: 98.92%
[ Thu Sep 29 17:05:40 2022 ] Training epoch: 90
[ Thu Sep 29 17:07:02 2022 ] 	Mean training loss: 0.0362. loss2: 0.0000. Mean training acc: 98.78%.
[ Thu Sep 29 17:07:02 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:07:02 2022 ] Eval epoch: 90
[ Thu Sep 29 17:07:09 2022 ] 	Mean test loss of 8 batches: 0.4659764878451824.
[ Thu Sep 29 17:07:09 2022 ] 	Top1: 89.01%
[ Thu Sep 29 17:07:09 2022 ] 	Top5: 98.71%
[ Thu Sep 29 17:07:09 2022 ] Training epoch: 91
[ Thu Sep 29 17:08:34 2022 ] 	Mean training loss: 0.0188. loss2: 0.0000. Mean training acc: 99.57%.
[ Thu Sep 29 17:08:34 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 17:08:34 2022 ] Eval epoch: 91
[ Thu Sep 29 17:08:40 2022 ] 	Mean test loss of 8 batches: 0.367043761536479.
[ Thu Sep 29 17:08:40 2022 ] 	Top1: 90.73%
[ Thu Sep 29 17:08:40 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:08:40 2022 ] Training epoch: 92
[ Thu Sep 29 17:10:04 2022 ] 	Mean training loss: 0.0129. loss2: 0.0000. Mean training acc: 99.69%.
[ Thu Sep 29 17:10:04 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 17:10:04 2022 ] Eval epoch: 92
[ Thu Sep 29 17:10:11 2022 ] 	Mean test loss of 8 batches: 0.38141450844705105.
[ Thu Sep 29 17:10:11 2022 ] 	Top1: 90.30%
[ Thu Sep 29 17:10:11 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:10:11 2022 ] Training epoch: 93
[ Thu Sep 29 17:11:33 2022 ] 	Mean training loss: 0.0089. loss2: 0.0000. Mean training acc: 99.78%.
[ Thu Sep 29 17:11:33 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:11:33 2022 ] Eval epoch: 93
[ Thu Sep 29 17:11:39 2022 ] 	Mean test loss of 8 batches: 0.3632896738126874.
[ Thu Sep 29 17:11:39 2022 ] 	Top1: 90.73%
[ Thu Sep 29 17:11:39 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:11:39 2022 ] Training epoch: 94
[ Thu Sep 29 17:13:04 2022 ] 	Mean training loss: 0.0086. loss2: 0.0000. Mean training acc: 99.80%.
[ Thu Sep 29 17:13:04 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:13:04 2022 ] Eval epoch: 94
[ Thu Sep 29 17:13:11 2022 ] 	Mean test loss of 8 batches: 0.36109964922070503.
[ Thu Sep 29 17:13:11 2022 ] 	Top1: 91.16%
[ Thu Sep 29 17:13:11 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:13:11 2022 ] Training epoch: 95
[ Thu Sep 29 17:14:35 2022 ] 	Mean training loss: 0.0072. loss2: 0.0000. Mean training acc: 99.80%.
[ Thu Sep 29 17:14:35 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:14:35 2022 ] Eval epoch: 95
[ Thu Sep 29 17:14:41 2022 ] 	Mean test loss of 8 batches: 0.3446708396077156.
[ Thu Sep 29 17:14:41 2022 ] 	Top1: 90.73%
[ Thu Sep 29 17:14:41 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:14:41 2022 ] Training epoch: 96
[ Thu Sep 29 17:16:05 2022 ] 	Mean training loss: 0.0086. loss2: 0.0000. Mean training acc: 99.82%.
[ Thu Sep 29 17:16:05 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:16:05 2022 ] Eval epoch: 96
[ Thu Sep 29 17:16:11 2022 ] 	Mean test loss of 8 batches: 0.32266730442643166.
[ Thu Sep 29 17:16:11 2022 ] 	Top1: 92.03%
[ Thu Sep 29 17:16:11 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:16:11 2022 ] Training epoch: 97
[ Thu Sep 29 17:17:34 2022 ] 	Mean training loss: 0.0072. loss2: 0.0000. Mean training acc: 99.80%.
[ Thu Sep 29 17:17:34 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:17:35 2022 ] Eval epoch: 97
[ Thu Sep 29 17:17:40 2022 ] 	Mean test loss of 8 batches: 0.3490435155108571.
[ Thu Sep 29 17:17:40 2022 ] 	Top1: 91.16%
[ Thu Sep 29 17:17:40 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:17:40 2022 ] Training epoch: 98
[ Thu Sep 29 17:19:08 2022 ] 	Mean training loss: 0.0059. loss2: 0.0000. Mean training acc: 99.90%.
[ Thu Sep 29 17:19:08 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:19:08 2022 ] Eval epoch: 98
[ Thu Sep 29 17:19:13 2022 ] 	Mean test loss of 8 batches: 0.3322855429723859.
[ Thu Sep 29 17:19:13 2022 ] 	Top1: 91.59%
[ Thu Sep 29 17:19:13 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:19:13 2022 ] Training epoch: 99
[ Thu Sep 29 17:20:39 2022 ] 	Mean training loss: 0.0050. loss2: 0.0000. Mean training acc: 99.90%.
[ Thu Sep 29 17:20:39 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:20:39 2022 ] Eval epoch: 99
[ Thu Sep 29 17:20:44 2022 ] 	Mean test loss of 8 batches: 0.3386941533535719.
[ Thu Sep 29 17:20:44 2022 ] 	Top1: 91.59%
[ Thu Sep 29 17:20:44 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:20:44 2022 ] Training epoch: 100
[ Thu Sep 29 17:22:08 2022 ] 	Mean training loss: 0.0071. loss2: 0.0000. Mean training acc: 99.88%.
[ Thu Sep 29 17:22:08 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:22:09 2022 ] Eval epoch: 100
[ Thu Sep 29 17:22:13 2022 ] 	Mean test loss of 8 batches: 0.34851698763668537.
[ Thu Sep 29 17:22:13 2022 ] 	Top1: 90.95%
[ Thu Sep 29 17:22:13 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:22:13 2022 ] Training epoch: 101
[ Thu Sep 29 17:23:37 2022 ] 	Mean training loss: 0.0043. loss2: 0.0000. Mean training acc: 99.90%.
[ Thu Sep 29 17:23:37 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 17:23:37 2022 ] Eval epoch: 101
[ Thu Sep 29 17:23:43 2022 ] 	Mean test loss of 8 batches: 0.33817046135663986.
[ Thu Sep 29 17:23:43 2022 ] 	Top1: 90.95%
[ Thu Sep 29 17:23:43 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:23:43 2022 ] Training epoch: 102
[ Thu Sep 29 17:25:07 2022 ] 	Mean training loss: 0.0060. loss2: 0.0000. Mean training acc: 99.76%.
[ Thu Sep 29 17:25:07 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:25:07 2022 ] Eval epoch: 102
[ Thu Sep 29 17:25:13 2022 ] 	Mean test loss of 8 batches: 0.3338713366538286.
[ Thu Sep 29 17:25:13 2022 ] 	Top1: 91.81%
[ Thu Sep 29 17:25:13 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:25:13 2022 ] Training epoch: 103
[ Thu Sep 29 17:26:40 2022 ] 	Mean training loss: 0.0059. loss2: 0.0000. Mean training acc: 99.84%.
[ Thu Sep 29 17:26:40 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:26:40 2022 ] Eval epoch: 103
[ Thu Sep 29 17:26:46 2022 ] 	Mean test loss of 8 batches: 0.370249355211854.
[ Thu Sep 29 17:26:46 2022 ] 	Top1: 91.38%
[ Thu Sep 29 17:26:46 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:26:46 2022 ] Training epoch: 104
[ Thu Sep 29 17:28:12 2022 ] 	Mean training loss: 0.0042. loss2: 0.0000. Mean training acc: 99.94%.
[ Thu Sep 29 17:28:12 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:28:12 2022 ] Eval epoch: 104
[ Thu Sep 29 17:28:18 2022 ] 	Mean test loss of 8 batches: 0.34207025077193975.
[ Thu Sep 29 17:28:18 2022 ] 	Top1: 90.30%
[ Thu Sep 29 17:28:18 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:28:18 2022 ] Training epoch: 105
[ Thu Sep 29 17:29:41 2022 ] 	Mean training loss: 0.0053. loss2: 0.0000. Mean training acc: 99.94%.
[ Thu Sep 29 17:29:41 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 17:29:41 2022 ] Eval epoch: 105
[ Thu Sep 29 17:29:46 2022 ] 	Mean test loss of 8 batches: 0.33977338019758463.
[ Thu Sep 29 17:29:46 2022 ] 	Top1: 91.16%
[ Thu Sep 29 17:29:46 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:29:47 2022 ] Training epoch: 106
[ Thu Sep 29 17:31:09 2022 ] 	Mean training loss: 0.0061. loss2: 0.0000. Mean training acc: 99.92%.
[ Thu Sep 29 17:31:09 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:31:09 2022 ] Eval epoch: 106
[ Thu Sep 29 17:31:14 2022 ] 	Mean test loss of 8 batches: 0.3542670803144574.
[ Thu Sep 29 17:31:14 2022 ] 	Top1: 91.81%
[ Thu Sep 29 17:31:14 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:31:14 2022 ] Training epoch: 107
[ Thu Sep 29 17:32:29 2022 ] 	Mean training loss: 0.0059. loss2: 0.0000. Mean training acc: 99.88%.
[ Thu Sep 29 17:32:29 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:32:29 2022 ] Eval epoch: 107
[ Thu Sep 29 17:32:34 2022 ] 	Mean test loss of 8 batches: 0.32196792121976614.
[ Thu Sep 29 17:32:34 2022 ] 	Top1: 92.03%
[ Thu Sep 29 17:32:34 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:32:34 2022 ] Training epoch: 108
[ Thu Sep 29 17:33:42 2022 ] 	Mean training loss: 0.0055. loss2: 0.0000. Mean training acc: 99.86%.
[ Thu Sep 29 17:33:42 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:33:42 2022 ] Eval epoch: 108
[ Thu Sep 29 17:33:45 2022 ] 	Mean test loss of 8 batches: 0.3370057065039873.
[ Thu Sep 29 17:33:45 2022 ] 	Top1: 92.03%
[ Thu Sep 29 17:33:45 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:33:45 2022 ] Training epoch: 109
[ Thu Sep 29 17:34:47 2022 ] 	Mean training loss: 0.0059. loss2: 0.0000. Mean training acc: 99.84%.
[ Thu Sep 29 17:34:47 2022 ] 	Time consumption: [Data]12%, [Network]88%
[ Thu Sep 29 17:34:47 2022 ] Eval epoch: 109
[ Thu Sep 29 17:34:50 2022 ] 	Mean test loss of 8 batches: 0.3413305561989546.
[ Thu Sep 29 17:34:50 2022 ] 	Top1: 91.81%
[ Thu Sep 29 17:34:50 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:34:50 2022 ] Training epoch: 110
[ Thu Sep 29 17:35:47 2022 ] 	Mean training loss: 0.0053. loss2: 0.0000. Mean training acc: 99.90%.
[ Thu Sep 29 17:35:47 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 17:35:47 2022 ] Eval epoch: 110
[ Thu Sep 29 17:35:50 2022 ] 	Mean test loss of 8 batches: 0.3675365410745144.
[ Thu Sep 29 17:35:50 2022 ] 	Top1: 90.30%
[ Thu Sep 29 17:35:50 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:35:54 2022 ] Best accuracy: 0.9202586206896551
[ Thu Sep 29 17:35:54 2022 ] Epoch number: 77
[ Thu Sep 29 17:35:54 2022 ] Model name: work_dir/ucla/fc_bone2
[ Thu Sep 29 17:35:54 2022 ] Model total number of params: 2036242
[ Thu Sep 29 17:35:54 2022 ] Weight decay: 0.0001
[ Thu Sep 29 17:35:54 2022 ] Base LR: 0.05
[ Thu Sep 29 17:35:54 2022 ] Batch Size: 16
[ Thu Sep 29 17:35:54 2022 ] Test Batch Size: 64
[ Thu Sep 29 17:35:54 2022 ] seed: 1
