[ Thu Sep 29 14:53:08 2022 ] using warm up, epoch: 5
[ Thu Sep 29 14:53:18 2022 ] Parameters:
{'work_dir': 'work_dir/ucla/fc_bone_vel2', 'model_saved_name': 'work_dir/ucla/fc_bone_vel2/runs', 'config': 'config/ucla/fc_bone_vel.yaml', 'phase': 'train', 'save_score': False, 'joint_label': [], 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 35, 'eval_interval': 5, 'ema': False, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ucla.Feeder', 'num_worker': 48, 'train_feeder_args': {'data_path': 'bone_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': 'bone_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': [3], '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 14:53:18 2022 ] # Parameters: 2036242
[ Thu Sep 29 14:53:18 2022 ] Training epoch: 1
[ Thu Sep 29 14:54:40 2022 ] 	Mean training loss: 2.4953. loss2: 0.0000. Mean training acc: 45.46%.
[ Thu Sep 29 14:54:40 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 14:54:40 2022 ] Eval epoch: 1
[ Thu Sep 29 14:54:45 2022 ] 	Mean test loss of 8 batches: 1.203824445605278.
[ Thu Sep 29 14:54:45 2022 ] 	Top1: 60.99%
[ Thu Sep 29 14:54:45 2022 ] 	Top5: 98.28%
[ Thu Sep 29 14:54:45 2022 ] Training epoch: 2
[ Thu Sep 29 14:56:05 2022 ] 	Mean training loss: 1.3189. loss2: 0.0000. Mean training acc: 59.26%.
[ Thu Sep 29 14:56:05 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 14:56:05 2022 ] Eval epoch: 2
[ Thu Sep 29 14:56:11 2022 ] 	Mean test loss of 8 batches: 0.7941791862249374.
[ Thu Sep 29 14:56:11 2022 ] 	Top1: 72.20%
[ Thu Sep 29 14:56:11 2022 ] 	Top5: 98.71%
[ Thu Sep 29 14:56:11 2022 ] Training epoch: 3
[ Thu Sep 29 14:57:34 2022 ] 	Mean training loss: 1.0538. loss2: 0.0000. Mean training acc: 64.47%.
[ Thu Sep 29 14:57:34 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 14:57:34 2022 ] Eval epoch: 3
[ Thu Sep 29 14:57:40 2022 ] 	Mean test loss of 8 batches: 0.7118114940822124.
[ Thu Sep 29 14:57:40 2022 ] 	Top1: 73.28%
[ Thu Sep 29 14:57:40 2022 ] 	Top5: 98.49%
[ Thu Sep 29 14:57:40 2022 ] Training epoch: 4
[ Thu Sep 29 14:59:01 2022 ] 	Mean training loss: 0.9728. loss2: 0.0000. Mean training acc: 66.84%.
[ Thu Sep 29 14:59:01 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 14:59:01 2022 ] Eval epoch: 4
[ Thu Sep 29 14:59:06 2022 ] 	Mean test loss of 8 batches: 0.6602086201310158.
[ Thu Sep 29 14:59:06 2022 ] 	Top1: 78.45%
[ Thu Sep 29 14:59:06 2022 ] 	Top5: 98.49%
[ Thu Sep 29 14:59:06 2022 ] Training epoch: 5
[ Thu Sep 29 15:00:29 2022 ] 	Mean training loss: 0.9035. loss2: 0.0000. Mean training acc: 69.48%.
[ Thu Sep 29 15:00:29 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 15:00:29 2022 ] Eval epoch: 5
[ Thu Sep 29 15:00:34 2022 ] 	Mean test loss of 8 batches: 0.7613801434636116.
[ Thu Sep 29 15:00:34 2022 ] 	Top1: 73.28%
[ Thu Sep 29 15:00:34 2022 ] 	Top5: 98.06%
[ Thu Sep 29 15:00:34 2022 ] Training epoch: 6
[ Thu Sep 29 15:01:58 2022 ] 	Mean training loss: 0.7685. loss2: 0.0000. Mean training acc: 73.31%.
[ Thu Sep 29 15:01:58 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 15:01:58 2022 ] Eval epoch: 6
[ Thu Sep 29 15:02:03 2022 ] 	Mean test loss of 8 batches: 0.7840671837329865.
[ Thu Sep 29 15:02:03 2022 ] 	Top1: 73.71%
[ Thu Sep 29 15:02:03 2022 ] 	Top5: 98.28%
[ Thu Sep 29 15:02:03 2022 ] Training epoch: 7
[ Thu Sep 29 15:03:25 2022 ] 	Mean training loss: 0.6783. loss2: 0.0000. Mean training acc: 76.14%.
[ Thu Sep 29 15:03:25 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:03:25 2022 ] Eval epoch: 7
[ Thu Sep 29 15:03:29 2022 ] 	Mean test loss of 8 batches: 0.6584545485675335.
[ Thu Sep 29 15:03:29 2022 ] 	Top1: 75.00%
[ Thu Sep 29 15:03:29 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:03:29 2022 ] Training epoch: 8
[ Thu Sep 29 15:04:54 2022 ] 	Mean training loss: 0.6078. loss2: 0.0000. Mean training acc: 77.79%.
[ Thu Sep 29 15:04:54 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:04:54 2022 ] Eval epoch: 8
[ Thu Sep 29 15:04:58 2022 ] 	Mean test loss of 8 batches: 0.545157028362155.
[ Thu Sep 29 15:04:58 2022 ] 	Top1: 81.47%
[ Thu Sep 29 15:04:58 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:04:58 2022 ] Training epoch: 9
[ Thu Sep 29 15:06:19 2022 ] 	Mean training loss: 0.5546. loss2: 0.0000. Mean training acc: 79.95%.
[ Thu Sep 29 15:06:19 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:06:19 2022 ] Eval epoch: 9
[ Thu Sep 29 15:06:25 2022 ] 	Mean test loss of 8 batches: 0.569674339145422.
[ Thu Sep 29 15:06:25 2022 ] 	Top1: 82.33%
[ Thu Sep 29 15:06:25 2022 ] 	Top5: 98.49%
[ Thu Sep 29 15:06:25 2022 ] Training epoch: 10
[ Thu Sep 29 15:07:47 2022 ] 	Mean training loss: 0.4764. loss2: 0.0000. Mean training acc: 82.19%.
[ Thu Sep 29 15:07:47 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:07:47 2022 ] Eval epoch: 10
[ Thu Sep 29 15:07:52 2022 ] 	Mean test loss of 8 batches: 0.7017174884676933.
[ Thu Sep 29 15:07:52 2022 ] 	Top1: 76.94%
[ Thu Sep 29 15:07:52 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:07:52 2022 ] Training epoch: 11
[ Thu Sep 29 15:09:12 2022 ] 	Mean training loss: 0.4612. loss2: 0.0000. Mean training acc: 83.47%.
[ Thu Sep 29 15:09:12 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:09:12 2022 ] Eval epoch: 11
[ Thu Sep 29 15:09:18 2022 ] 	Mean test loss of 8 batches: 0.4756731688976288.
[ Thu Sep 29 15:09:18 2022 ] 	Top1: 84.27%
[ Thu Sep 29 15:09:18 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:09:18 2022 ] Training epoch: 12
[ Thu Sep 29 15:10:38 2022 ] 	Mean training loss: 0.4191. loss2: 0.0000. Mean training acc: 84.59%.
[ Thu Sep 29 15:10:38 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:10:38 2022 ] Eval epoch: 12
[ Thu Sep 29 15:10:44 2022 ] 	Mean test loss of 8 batches: 0.5813859216868877.
[ Thu Sep 29 15:10:44 2022 ] 	Top1: 83.19%
[ Thu Sep 29 15:10:44 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:10:44 2022 ] Training epoch: 13
[ Thu Sep 29 15:12:06 2022 ] 	Mean training loss: 0.3850. loss2: 0.0000. Mean training acc: 86.48%.
[ Thu Sep 29 15:12:06 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:12:06 2022 ] Eval epoch: 13
[ Thu Sep 29 15:12:11 2022 ] 	Mean test loss of 8 batches: 0.624306745827198.
[ Thu Sep 29 15:12:11 2022 ] 	Top1: 79.53%
[ Thu Sep 29 15:12:11 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:12:11 2022 ] Training epoch: 14
[ Thu Sep 29 15:13:36 2022 ] 	Mean training loss: 0.3608. loss2: 0.0000. Mean training acc: 86.58%.
[ Thu Sep 29 15:13:36 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:13:36 2022 ] Eval epoch: 14
[ Thu Sep 29 15:13:43 2022 ] 	Mean test loss of 8 batches: 0.5317134968936443.
[ Thu Sep 29 15:13:43 2022 ] 	Top1: 82.76%
[ Thu Sep 29 15:13:43 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:13:43 2022 ] Training epoch: 15
[ Thu Sep 29 15:15:07 2022 ] 	Mean training loss: 0.3176. loss2: 0.0000. Mean training acc: 88.50%.
[ Thu Sep 29 15:15:07 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:15:07 2022 ] Eval epoch: 15
[ Thu Sep 29 15:15:14 2022 ] 	Mean test loss of 8 batches: 0.3924786541610956.
[ Thu Sep 29 15:15:14 2022 ] 	Top1: 86.85%
[ Thu Sep 29 15:15:14 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:15:14 2022 ] Training epoch: 16
[ Thu Sep 29 15:16:22 2022 ] 	Mean training loss: 0.3265. loss2: 0.0000. Mean training acc: 88.36%.
[ Thu Sep 29 15:16:22 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:16:22 2022 ] Eval epoch: 16
[ Thu Sep 29 15:16:27 2022 ] 	Mean test loss of 8 batches: 0.5112608019262552.
[ Thu Sep 29 15:16:27 2022 ] 	Top1: 84.27%
[ Thu Sep 29 15:16:27 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:16:27 2022 ] Training epoch: 17
[ Thu Sep 29 15:17:41 2022 ] 	Mean training loss: 0.2727. loss2: 0.0000. Mean training acc: 89.66%.
[ Thu Sep 29 15:17:41 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:17:41 2022 ] Eval epoch: 17
[ Thu Sep 29 15:17:47 2022 ] 	Mean test loss of 8 batches: 0.46320508047938347.
[ Thu Sep 29 15:17:47 2022 ] 	Top1: 83.19%
[ Thu Sep 29 15:17:47 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:17:47 2022 ] Training epoch: 18
[ Thu Sep 29 15:19:08 2022 ] 	Mean training loss: 0.2597. loss2: 0.0000. Mean training acc: 90.64%.
[ Thu Sep 29 15:19:08 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:19:08 2022 ] Eval epoch: 18
[ Thu Sep 29 15:19:14 2022 ] 	Mean test loss of 8 batches: 0.41041569970548153.
[ Thu Sep 29 15:19:14 2022 ] 	Top1: 90.09%
[ Thu Sep 29 15:19:14 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:19:14 2022 ] Training epoch: 19
[ Thu Sep 29 15:20:36 2022 ] 	Mean training loss: 0.2478. loss2: 0.0000. Mean training acc: 91.21%.
[ Thu Sep 29 15:20:36 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:20:36 2022 ] Eval epoch: 19
[ Thu Sep 29 15:20:41 2022 ] 	Mean test loss of 8 batches: 0.6110108681023121.
[ Thu Sep 29 15:20:41 2022 ] 	Top1: 81.47%
[ Thu Sep 29 15:20:41 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:20:41 2022 ] Training epoch: 20
[ Thu Sep 29 15:22:02 2022 ] 	Mean training loss: 0.2663. loss2: 0.0000. Mean training acc: 90.43%.
[ Thu Sep 29 15:22:02 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:22:02 2022 ] Eval epoch: 20
[ Thu Sep 29 15:22:08 2022 ] 	Mean test loss of 8 batches: 0.3910004924982786.
[ Thu Sep 29 15:22:08 2022 ] 	Top1: 87.28%
[ Thu Sep 29 15:22:08 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:22:08 2022 ] Training epoch: 21
[ Thu Sep 29 15:23:30 2022 ] 	Mean training loss: 0.2271. loss2: 0.0000. Mean training acc: 92.06%.
[ Thu Sep 29 15:23:30 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:23:30 2022 ] Eval epoch: 21
[ Thu Sep 29 15:23:37 2022 ] 	Mean test loss of 8 batches: 0.4829829167574644.
[ Thu Sep 29 15:23:37 2022 ] 	Top1: 84.91%
[ Thu Sep 29 15:23:37 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:23:37 2022 ] Training epoch: 22
[ Thu Sep 29 15:25:00 2022 ] 	Mean training loss: 0.1973. loss2: 0.0000. Mean training acc: 93.06%.
[ Thu Sep 29 15:25:00 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:25:00 2022 ] Eval epoch: 22
[ Thu Sep 29 15:25:06 2022 ] 	Mean test loss of 8 batches: 0.552900368347764.
[ Thu Sep 29 15:25:06 2022 ] 	Top1: 83.84%
[ Thu Sep 29 15:25:06 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:25:06 2022 ] Training epoch: 23
[ Thu Sep 29 15:26:30 2022 ] 	Mean training loss: 0.1764. loss2: 0.0000. Mean training acc: 94.03%.
[ Thu Sep 29 15:26:30 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:26:30 2022 ] Eval epoch: 23
[ Thu Sep 29 15:26:36 2022 ] 	Mean test loss of 8 batches: 0.5053446516394615.
[ Thu Sep 29 15:26:36 2022 ] 	Top1: 84.27%
[ Thu Sep 29 15:26:36 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:26:36 2022 ] Training epoch: 24
[ Thu Sep 29 15:27:57 2022 ] 	Mean training loss: 0.1812. loss2: 0.0000. Mean training acc: 93.65%.
[ Thu Sep 29 15:27:57 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:27:57 2022 ] Eval epoch: 24
[ Thu Sep 29 15:28:03 2022 ] 	Mean test loss of 8 batches: 0.3759446535259485.
[ Thu Sep 29 15:28:03 2022 ] 	Top1: 87.28%
[ Thu Sep 29 15:28:03 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:28:03 2022 ] Training epoch: 25
[ Thu Sep 29 15:29:26 2022 ] 	Mean training loss: 0.1616. loss2: 0.0000. Mean training acc: 94.34%.
[ Thu Sep 29 15:29:26 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:29:26 2022 ] Eval epoch: 25
[ Thu Sep 29 15:29:33 2022 ] 	Mean test loss of 8 batches: 0.3761881086975336.
[ Thu Sep 29 15:29:33 2022 ] 	Top1: 89.22%
[ Thu Sep 29 15:29:33 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:29:33 2022 ] Training epoch: 26
[ Thu Sep 29 15:30:55 2022 ] 	Mean training loss: 0.1571. loss2: 0.0000. Mean training acc: 94.16%.
[ Thu Sep 29 15:30:55 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:30:55 2022 ] Eval epoch: 26
[ Thu Sep 29 15:31:01 2022 ] 	Mean test loss of 8 batches: 1.0615696273744106.
[ Thu Sep 29 15:31:01 2022 ] 	Top1: 76.94%
[ Thu Sep 29 15:31:01 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:31:01 2022 ] Training epoch: 27
[ Thu Sep 29 15:32:23 2022 ] 	Mean training loss: 0.1424. loss2: 0.0000. Mean training acc: 95.11%.
[ Thu Sep 29 15:32:23 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:32:23 2022 ] Eval epoch: 27
[ Thu Sep 29 15:32:29 2022 ] 	Mean test loss of 8 batches: 0.7714898250997066.
[ Thu Sep 29 15:32:29 2022 ] 	Top1: 78.02%
[ Thu Sep 29 15:32:29 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:32:29 2022 ] Training epoch: 28
[ Thu Sep 29 15:33:50 2022 ] 	Mean training loss: 0.1616. loss2: 0.0000. Mean training acc: 94.48%.
[ Thu Sep 29 15:33:50 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:33:50 2022 ] Eval epoch: 28
[ Thu Sep 29 15:33:57 2022 ] 	Mean test loss of 8 batches: 0.3433868163265288.
[ Thu Sep 29 15:33:57 2022 ] 	Top1: 89.44%
[ Thu Sep 29 15:33:57 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:33:57 2022 ] Training epoch: 29
[ Thu Sep 29 15:35:19 2022 ] 	Mean training loss: 0.1382. loss2: 0.0000. Mean training acc: 95.22%.
[ Thu Sep 29 15:35:19 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:35:19 2022 ] Eval epoch: 29
[ Thu Sep 29 15:35:25 2022 ] 	Mean test loss of 8 batches: 0.4708247883245349.
[ Thu Sep 29 15:35:25 2022 ] 	Top1: 85.34%
[ Thu Sep 29 15:35:25 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:35:25 2022 ] Training epoch: 30
[ Thu Sep 29 15:36:50 2022 ] 	Mean training loss: 0.1472. loss2: 0.0000. Mean training acc: 94.71%.
[ Thu Sep 29 15:36:50 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:36:50 2022 ] Eval epoch: 30
[ Thu Sep 29 15:36:55 2022 ] 	Mean test loss of 8 batches: 0.6312385499477386.
[ Thu Sep 29 15:36:55 2022 ] 	Top1: 81.90%
[ Thu Sep 29 15:36:55 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:36:55 2022 ] Training epoch: 31
[ Thu Sep 29 15:38:18 2022 ] 	Mean training loss: 0.1273. loss2: 0.0000. Mean training acc: 95.62%.
[ Thu Sep 29 15:38:18 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:38:18 2022 ] Eval epoch: 31
[ Thu Sep 29 15:38:24 2022 ] 	Mean test loss of 8 batches: 0.4524681493639946.
[ Thu Sep 29 15:38:24 2022 ] 	Top1: 86.64%
[ Thu Sep 29 15:38:24 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:38:24 2022 ] Training epoch: 32
[ Thu Sep 29 15:39:46 2022 ] 	Mean training loss: 0.1154. loss2: 0.0000. Mean training acc: 95.93%.
[ Thu Sep 29 15:39:46 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:39:46 2022 ] Eval epoch: 32
[ Thu Sep 29 15:39:52 2022 ] 	Mean test loss of 8 batches: 0.5363619858399034.
[ Thu Sep 29 15:39:52 2022 ] 	Top1: 85.34%
[ Thu Sep 29 15:39:52 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:39:52 2022 ] Training epoch: 33
[ Thu Sep 29 15:41:11 2022 ] 	Mean training loss: 0.1182. loss2: 0.0000. Mean training acc: 95.99%.
[ Thu Sep 29 15:41:11 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 15:41:11 2022 ] Eval epoch: 33
[ Thu Sep 29 15:41:16 2022 ] 	Mean test loss of 8 batches: 0.5938936527818441.
[ Thu Sep 29 15:41:16 2022 ] 	Top1: 84.48%
[ Thu Sep 29 15:41:16 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:41:16 2022 ] Training epoch: 34
[ Thu Sep 29 15:42:39 2022 ] 	Mean training loss: 0.1013. loss2: 0.0000. Mean training acc: 96.62%.
[ Thu Sep 29 15:42:39 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:42:39 2022 ] Eval epoch: 34
[ Thu Sep 29 15:42:43 2022 ] 	Mean test loss of 8 batches: 0.6478810682892799.
[ Thu Sep 29 15:42:43 2022 ] 	Top1: 84.70%
[ Thu Sep 29 15:42:43 2022 ] 	Top5: 98.71%
[ Thu Sep 29 15:42:43 2022 ] Training epoch: 35
[ Thu Sep 29 15:44:05 2022 ] 	Mean training loss: 0.0964. loss2: 0.0000. Mean training acc: 96.72%.
[ Thu Sep 29 15:44:05 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:44:05 2022 ] Eval epoch: 35
[ Thu Sep 29 15:44:10 2022 ] 	Mean test loss of 8 batches: 0.4624604359269142.
[ Thu Sep 29 15:44:10 2022 ] 	Top1: 87.50%
[ Thu Sep 29 15:44:10 2022 ] 	Top5: 98.71%
[ Thu Sep 29 15:44:10 2022 ] Training epoch: 36
[ Thu Sep 29 15:45:32 2022 ] 	Mean training loss: 0.0980. loss2: 0.0000. Mean training acc: 96.34%.
[ Thu Sep 29 15:45:32 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:45:32 2022 ] Eval epoch: 36
[ Thu Sep 29 15:45:37 2022 ] 	Mean test loss of 8 batches: 0.4701301995664835.
[ Thu Sep 29 15:45:37 2022 ] 	Top1: 86.42%
[ Thu Sep 29 15:45:37 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:45:37 2022 ] Training epoch: 37
[ Thu Sep 29 15:47:01 2022 ] 	Mean training loss: 0.0857. loss2: 0.0000. Mean training acc: 96.97%.
[ Thu Sep 29 15:47:01 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:47:01 2022 ] Eval epoch: 37
[ Thu Sep 29 15:47:07 2022 ] 	Mean test loss of 8 batches: 0.5182892382144928.
[ Thu Sep 29 15:47:07 2022 ] 	Top1: 85.56%
[ Thu Sep 29 15:47:07 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:47:07 2022 ] Training epoch: 38
[ Thu Sep 29 15:48:31 2022 ] 	Mean training loss: 0.0868. loss2: 0.0000. Mean training acc: 97.13%.
[ Thu Sep 29 15:48:31 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:48:31 2022 ] Eval epoch: 38
[ Thu Sep 29 15:48:36 2022 ] 	Mean test loss of 8 batches: 0.4973182752728462.
[ Thu Sep 29 15:48:36 2022 ] 	Top1: 86.21%
[ Thu Sep 29 15:48:36 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:48:36 2022 ] Training epoch: 39
[ Thu Sep 29 15:50:03 2022 ] 	Mean training loss: 0.0937. loss2: 0.0000. Mean training acc: 96.91%.
[ Thu Sep 29 15:50:03 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:50:03 2022 ] Eval epoch: 39
[ Thu Sep 29 15:50:08 2022 ] 	Mean test loss of 8 batches: 0.4671189431101084.
[ Thu Sep 29 15:50:08 2022 ] 	Top1: 84.48%
[ Thu Sep 29 15:50:08 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:50:08 2022 ] Training epoch: 40
[ Thu Sep 29 15:51:31 2022 ] 	Mean training loss: 0.0693. loss2: 0.0000. Mean training acc: 97.76%.
[ Thu Sep 29 15:51:31 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:51:31 2022 ] Eval epoch: 40
[ Thu Sep 29 15:51:37 2022 ] 	Mean test loss of 8 batches: 0.44145327515434474.
[ Thu Sep 29 15:51:37 2022 ] 	Top1: 86.64%
[ Thu Sep 29 15:51:37 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:51:37 2022 ] Training epoch: 41
[ Thu Sep 29 15:53:00 2022 ] 	Mean training loss: 0.0695. loss2: 0.0000. Mean training acc: 97.76%.
[ Thu Sep 29 15:53:00 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:53:00 2022 ] Eval epoch: 41
[ Thu Sep 29 15:53:06 2022 ] 	Mean test loss of 8 batches: 0.7598421238362789.
[ Thu Sep 29 15:53:06 2022 ] 	Top1: 81.25%
[ Thu Sep 29 15:53:06 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:53:06 2022 ] Training epoch: 42
[ Thu Sep 29 15:54:30 2022 ] 	Mean training loss: 0.0800. loss2: 0.0000. Mean training acc: 97.25%.
[ Thu Sep 29 15:54:30 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:54:31 2022 ] Eval epoch: 42
[ Thu Sep 29 15:54:36 2022 ] 	Mean test loss of 8 batches: 0.5237755421549082.
[ Thu Sep 29 15:54:36 2022 ] 	Top1: 85.56%
[ Thu Sep 29 15:54:36 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:54:36 2022 ] Training epoch: 43
[ Thu Sep 29 15:55:56 2022 ] 	Mean training loss: 0.0952. loss2: 0.0000. Mean training acc: 96.84%.
[ Thu Sep 29 15:55:56 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:55:57 2022 ] Eval epoch: 43
[ Thu Sep 29 15:56:02 2022 ] 	Mean test loss of 8 batches: 0.4135267371311784.
[ Thu Sep 29 15:56:02 2022 ] 	Top1: 88.36%
[ Thu Sep 29 15:56:02 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:56:02 2022 ] Training epoch: 44
[ Thu Sep 29 15:57:22 2022 ] 	Mean training loss: 0.0576. loss2: 0.0000. Mean training acc: 98.13%.
[ Thu Sep 29 15:57:22 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 15:57:22 2022 ] Eval epoch: 44
[ Thu Sep 29 15:57:27 2022 ] 	Mean test loss of 8 batches: 0.4381814291700721.
[ Thu Sep 29 15:57:27 2022 ] 	Top1: 86.21%
[ Thu Sep 29 15:57:27 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:57:27 2022 ] Training epoch: 45
[ Thu Sep 29 15:58:46 2022 ] 	Mean training loss: 0.0526. loss2: 0.0000. Mean training acc: 98.19%.
[ Thu Sep 29 15:58:46 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:58:46 2022 ] Eval epoch: 45
[ Thu Sep 29 15:58:52 2022 ] 	Mean test loss of 8 batches: 0.5435081021860242.
[ Thu Sep 29 15:58:52 2022 ] 	Top1: 85.34%
[ Thu Sep 29 15:58:52 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:58:52 2022 ] Training epoch: 46
[ Thu Sep 29 16:00:12 2022 ] 	Mean training loss: 0.0795. loss2: 0.0000. Mean training acc: 97.39%.
[ Thu Sep 29 16:00:12 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:00:12 2022 ] Eval epoch: 46
[ Thu Sep 29 16:00:18 2022 ] 	Mean test loss of 8 batches: 0.6762038813903928.
[ Thu Sep 29 16:00:18 2022 ] 	Top1: 82.54%
[ Thu Sep 29 16:00:18 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:00:18 2022 ] Training epoch: 47
[ Thu Sep 29 16:01:39 2022 ] 	Mean training loss: 0.0822. loss2: 0.0000. Mean training acc: 97.23%.
[ Thu Sep 29 16:01:39 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:01:39 2022 ] Eval epoch: 47
[ Thu Sep 29 16:01:45 2022 ] 	Mean test loss of 8 batches: 0.5514571815729141.
[ Thu Sep 29 16:01:45 2022 ] 	Top1: 85.13%
[ Thu Sep 29 16:01:45 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:01:45 2022 ] Training epoch: 48
[ Thu Sep 29 16:03:05 2022 ] 	Mean training loss: 0.0638. loss2: 0.0000. Mean training acc: 97.90%.
[ Thu Sep 29 16:03:05 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:03:06 2022 ] Eval epoch: 48
[ Thu Sep 29 16:03:11 2022 ] 	Mean test loss of 8 batches: 0.9430516771972179.
[ Thu Sep 29 16:03:11 2022 ] 	Top1: 79.53%
[ Thu Sep 29 16:03:11 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:03:11 2022 ] Training epoch: 49
[ Thu Sep 29 16:04:31 2022 ] 	Mean training loss: 0.0966. loss2: 0.0000. Mean training acc: 96.89%.
[ Thu Sep 29 16:04:31 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:04:31 2022 ] Eval epoch: 49
[ Thu Sep 29 16:04:37 2022 ] 	Mean test loss of 8 batches: 0.5176482675597072.
[ Thu Sep 29 16:04:37 2022 ] 	Top1: 87.28%
[ Thu Sep 29 16:04:37 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:04:37 2022 ] Training epoch: 50
[ Thu Sep 29 16:06:00 2022 ] 	Mean training loss: 0.0672. loss2: 0.0000. Mean training acc: 97.52%.
[ Thu Sep 29 16:06:00 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:06:00 2022 ] Eval epoch: 50
[ Thu Sep 29 16:06:06 2022 ] 	Mean test loss of 8 batches: 0.7605500109493732.
[ Thu Sep 29 16:06:06 2022 ] 	Top1: 83.19%
[ Thu Sep 29 16:06:06 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:06:06 2022 ] Training epoch: 51
[ Thu Sep 29 16:07:26 2022 ] 	Mean training loss: 0.0658. loss2: 0.0000. Mean training acc: 97.78%.
[ Thu Sep 29 16:07:26 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:07:27 2022 ] Eval epoch: 51
[ Thu Sep 29 16:07:32 2022 ] 	Mean test loss of 8 batches: 0.6553029930219054.
[ Thu Sep 29 16:07:32 2022 ] 	Top1: 83.84%
[ Thu Sep 29 16:07:32 2022 ] 	Top5: 98.28%
[ Thu Sep 29 16:07:32 2022 ] Training epoch: 52
[ Thu Sep 29 16:08:56 2022 ] 	Mean training loss: 0.0607. loss2: 0.0000. Mean training acc: 97.90%.
[ Thu Sep 29 16:08:56 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:08:56 2022 ] Eval epoch: 52
[ Thu Sep 29 16:09:02 2022 ] 	Mean test loss of 8 batches: 0.5665640983497724.
[ Thu Sep 29 16:09:02 2022 ] 	Top1: 84.91%
[ Thu Sep 29 16:09:02 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:09:02 2022 ] Training epoch: 53
[ Thu Sep 29 16:10:20 2022 ] 	Mean training loss: 0.0383. loss2: 0.0000. Mean training acc: 98.82%.
[ Thu Sep 29 16:10:20 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:10:20 2022 ] Eval epoch: 53
[ Thu Sep 29 16:10:25 2022 ] 	Mean test loss of 8 batches: 0.6046813428401947.
[ Thu Sep 29 16:10:25 2022 ] 	Top1: 84.70%
[ Thu Sep 29 16:10:25 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:10:25 2022 ] Training epoch: 54
[ Thu Sep 29 16:11:42 2022 ] 	Mean training loss: 0.0588. loss2: 0.0000. Mean training acc: 98.09%.
[ Thu Sep 29 16:11:42 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:11:42 2022 ] Eval epoch: 54
[ Thu Sep 29 16:11:47 2022 ] 	Mean test loss of 8 batches: 0.5453330501914024.
[ Thu Sep 29 16:11:47 2022 ] 	Top1: 86.42%
[ Thu Sep 29 16:11:47 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:11:47 2022 ] Training epoch: 55
[ Thu Sep 29 16:13:10 2022 ] 	Mean training loss: 0.0588. loss2: 0.0000. Mean training acc: 97.78%.
[ Thu Sep 29 16:13:10 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:13:10 2022 ] Eval epoch: 55
[ Thu Sep 29 16:13:15 2022 ] 	Mean test loss of 8 batches: 0.6452631761785597.
[ Thu Sep 29 16:13:15 2022 ] 	Top1: 81.03%
[ Thu Sep 29 16:13:15 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:13:15 2022 ] Training epoch: 56
[ Thu Sep 29 16:14:37 2022 ] 	Mean training loss: 0.0599. loss2: 0.0000. Mean training acc: 98.21%.
[ Thu Sep 29 16:14:37 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:14:37 2022 ] Eval epoch: 56
[ Thu Sep 29 16:14:42 2022 ] 	Mean test loss of 8 batches: 0.4318669600179419.
[ Thu Sep 29 16:14:42 2022 ] 	Top1: 87.93%
[ Thu Sep 29 16:14:42 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:14:42 2022 ] Training epoch: 57
[ Thu Sep 29 16:16:05 2022 ] 	Mean training loss: 0.0585. loss2: 0.0000. Mean training acc: 98.00%.
[ Thu Sep 29 16:16:05 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:16:05 2022 ] Eval epoch: 57
[ Thu Sep 29 16:16:10 2022 ] 	Mean test loss of 8 batches: 0.6122757121920586.
[ Thu Sep 29 16:16:10 2022 ] 	Top1: 85.13%
[ Thu Sep 29 16:16:10 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:16:10 2022 ] Training epoch: 58
[ Thu Sep 29 16:17:34 2022 ] 	Mean training loss: 0.0623. loss2: 0.0000. Mean training acc: 97.56%.
[ Thu Sep 29 16:17:34 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:17:34 2022 ] Eval epoch: 58
[ Thu Sep 29 16:17:39 2022 ] 	Mean test loss of 8 batches: 0.5250072758644819.
[ Thu Sep 29 16:17:39 2022 ] 	Top1: 85.99%
[ Thu Sep 29 16:17:39 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:17:39 2022 ] Training epoch: 59
[ Thu Sep 29 16:19:01 2022 ] 	Mean training loss: 0.0593. loss2: 0.0000. Mean training acc: 98.03%.
[ Thu Sep 29 16:19:01 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:19:01 2022 ] Eval epoch: 59
[ Thu Sep 29 16:19:07 2022 ] 	Mean test loss of 8 batches: 0.5203467267565429.
[ Thu Sep 29 16:19:07 2022 ] 	Top1: 86.42%
[ Thu Sep 29 16:19:07 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:19:07 2022 ] Training epoch: 60
[ Thu Sep 29 16:20:30 2022 ] 	Mean training loss: 0.0480. loss2: 0.0000. Mean training acc: 98.45%.
[ Thu Sep 29 16:20:30 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:20:30 2022 ] Eval epoch: 60
[ Thu Sep 29 16:20:35 2022 ] 	Mean test loss of 8 batches: 0.5276399606373161.
[ Thu Sep 29 16:20:35 2022 ] 	Top1: 84.27%
[ Thu Sep 29 16:20:35 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:20:35 2022 ] Training epoch: 61
[ Thu Sep 29 16:21:59 2022 ] 	Mean training loss: 0.0588. loss2: 0.0000. Mean training acc: 98.03%.
[ Thu Sep 29 16:21:59 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:21:59 2022 ] Eval epoch: 61
[ Thu Sep 29 16:22:06 2022 ] 	Mean test loss of 8 batches: 0.388389763655141.
[ Thu Sep 29 16:22:06 2022 ] 	Top1: 90.09%
[ Thu Sep 29 16:22:06 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:22:06 2022 ] Training epoch: 62
[ Thu Sep 29 16:23:30 2022 ] 	Mean training loss: 0.0576. loss2: 0.0000. Mean training acc: 98.25%.
[ Thu Sep 29 16:23:30 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:23:31 2022 ] Eval epoch: 62
[ Thu Sep 29 16:23:36 2022 ] 	Mean test loss of 8 batches: 0.6970553984865546.
[ Thu Sep 29 16:23:36 2022 ] 	Top1: 80.60%
[ Thu Sep 29 16:23:36 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:23:36 2022 ] Training epoch: 63
[ Thu Sep 29 16:25:00 2022 ] 	Mean training loss: 0.0453. loss2: 0.0000. Mean training acc: 98.49%.
[ Thu Sep 29 16:25:00 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:25:00 2022 ] Eval epoch: 63
[ Thu Sep 29 16:25:06 2022 ] 	Mean test loss of 8 batches: 0.6261299028992653.
[ Thu Sep 29 16:25:06 2022 ] 	Top1: 83.19%
[ Thu Sep 29 16:25:06 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:25:06 2022 ] Training epoch: 64
[ Thu Sep 29 16:26:28 2022 ] 	Mean training loss: 0.0633. loss2: 0.0000. Mean training acc: 97.96%.
[ Thu Sep 29 16:26:28 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:26:28 2022 ] Eval epoch: 64
[ Thu Sep 29 16:26:34 2022 ] 	Mean test loss of 8 batches: 0.47924809716641903.
[ Thu Sep 29 16:26:34 2022 ] 	Top1: 86.85%
[ Thu Sep 29 16:26:34 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:26:34 2022 ] Training epoch: 65
[ Thu Sep 29 16:27:54 2022 ] 	Mean training loss: 0.0632. loss2: 0.0000. Mean training acc: 97.74%.
[ Thu Sep 29 16:27:54 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:27:54 2022 ] Eval epoch: 65
[ Thu Sep 29 16:28:00 2022 ] 	Mean test loss of 8 batches: 0.29680383251979947.
[ Thu Sep 29 16:28:00 2022 ] 	Top1: 89.66%
[ Thu Sep 29 16:28:00 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:28:00 2022 ] Training epoch: 66
[ Thu Sep 29 16:29:21 2022 ] 	Mean training loss: 0.0521. loss2: 0.0000. Mean training acc: 98.37%.
[ Thu Sep 29 16:29:21 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:29:21 2022 ] Eval epoch: 66
[ Thu Sep 29 16:29:27 2022 ] 	Mean test loss of 8 batches: 0.7261925376951694.
[ Thu Sep 29 16:29:27 2022 ] 	Top1: 81.68%
[ Thu Sep 29 16:29:27 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:29:27 2022 ] Training epoch: 67
[ Thu Sep 29 16:30:50 2022 ] 	Mean training loss: 0.0403. loss2: 0.0000. Mean training acc: 98.68%.
[ Thu Sep 29 16:30:50 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:30:50 2022 ] Eval epoch: 67
[ Thu Sep 29 16:30:55 2022 ] 	Mean test loss of 8 batches: 0.4669645596295595.
[ Thu Sep 29 16:30:55 2022 ] 	Top1: 87.72%
[ Thu Sep 29 16:30:55 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:30:55 2022 ] Training epoch: 68
[ Thu Sep 29 16:32:18 2022 ] 	Mean training loss: 0.0433. loss2: 0.0000. Mean training acc: 98.57%.
[ Thu Sep 29 16:32:18 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:32:18 2022 ] Eval epoch: 68
[ Thu Sep 29 16:32:24 2022 ] 	Mean test loss of 8 batches: 0.6000057240889873.
[ Thu Sep 29 16:32:24 2022 ] 	Top1: 83.84%
[ Thu Sep 29 16:32:24 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:32:24 2022 ] Training epoch: 69
[ Thu Sep 29 16:33:47 2022 ] 	Mean training loss: 0.0495. loss2: 0.0000. Mean training acc: 98.37%.
[ Thu Sep 29 16:33:47 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:33:47 2022 ] Eval epoch: 69
[ Thu Sep 29 16:33:53 2022 ] 	Mean test loss of 8 batches: 0.5645109202014282.
[ Thu Sep 29 16:33:53 2022 ] 	Top1: 84.48%
[ Thu Sep 29 16:33:53 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:33:53 2022 ] Training epoch: 70
[ Thu Sep 29 16:35:14 2022 ] 	Mean training loss: 0.0573. loss2: 0.0000. Mean training acc: 98.19%.
[ Thu Sep 29 16:35:14 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:35:15 2022 ] Eval epoch: 70
[ Thu Sep 29 16:35:21 2022 ] 	Mean test loss of 8 batches: 0.34665671922266483.
[ Thu Sep 29 16:35:21 2022 ] 	Top1: 89.01%
[ Thu Sep 29 16:35:21 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:35:21 2022 ] Training epoch: 71
[ Thu Sep 29 16:36:47 2022 ] 	Mean training loss: 0.0494. loss2: 0.0000. Mean training acc: 98.41%.
[ Thu Sep 29 16:36:47 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:36:47 2022 ] Eval epoch: 71
[ Thu Sep 29 16:36:52 2022 ] 	Mean test loss of 8 batches: 0.6715095125837252.
[ Thu Sep 29 16:36:52 2022 ] 	Top1: 81.25%
[ Thu Sep 29 16:36:52 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:36:52 2022 ] Training epoch: 72
[ Thu Sep 29 16:38:13 2022 ] 	Mean training loss: 0.0363. loss2: 0.0000. Mean training acc: 99.02%.
[ Thu Sep 29 16:38:13 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:38:14 2022 ] Eval epoch: 72
[ Thu Sep 29 16:38:20 2022 ] 	Mean test loss of 8 batches: 0.6989070358686149.
[ Thu Sep 29 16:38:20 2022 ] 	Top1: 83.41%
[ Thu Sep 29 16:38:20 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:38:20 2022 ] Training epoch: 73
[ Thu Sep 29 16:39:42 2022 ] 	Mean training loss: 0.0561. loss2: 0.0000. Mean training acc: 98.19%.
[ Thu Sep 29 16:39:42 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:39:42 2022 ] Eval epoch: 73
[ Thu Sep 29 16:39:47 2022 ] 	Mean test loss of 8 batches: 0.7664993079379201.
[ Thu Sep 29 16:39:47 2022 ] 	Top1: 79.74%
[ Thu Sep 29 16:39:47 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:39:47 2022 ] Training epoch: 74
[ Thu Sep 29 16:41:05 2022 ] 	Mean training loss: 0.0465. loss2: 0.0000. Mean training acc: 98.47%.
[ Thu Sep 29 16:41:05 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:41:05 2022 ] Eval epoch: 74
[ Thu Sep 29 16:41:11 2022 ] 	Mean test loss of 8 batches: 0.5164574128575623.
[ Thu Sep 29 16:41:11 2022 ] 	Top1: 85.34%
[ Thu Sep 29 16:41:11 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:41:11 2022 ] Training epoch: 75
[ Thu Sep 29 16:42:26 2022 ] 	Mean training loss: 0.0414. loss2: 0.0000. Mean training acc: 98.43%.
[ Thu Sep 29 16:42:26 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:42:27 2022 ] Eval epoch: 75
[ Thu Sep 29 16:42:32 2022 ] 	Mean test loss of 8 batches: 1.0707184746861458.
[ Thu Sep 29 16:42:32 2022 ] 	Top1: 81.03%
[ Thu Sep 29 16:42:32 2022 ] 	Top5: 98.49%
[ Thu Sep 29 16:42:32 2022 ] Training epoch: 76
[ Thu Sep 29 16:43:55 2022 ] 	Mean training loss: 0.0600. loss2: 0.0000. Mean training acc: 98.05%.
[ Thu Sep 29 16:43:55 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:43:55 2022 ] Eval epoch: 76
[ Thu Sep 29 16:44:00 2022 ] 	Mean test loss of 8 batches: 0.6653430331498384.
[ Thu Sep 29 16:44:00 2022 ] 	Top1: 82.97%
[ Thu Sep 29 16:44:00 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:44:00 2022 ] Training epoch: 77
[ Thu Sep 29 16:45:26 2022 ] 	Mean training loss: 0.0552. loss2: 0.0000. Mean training acc: 98.27%.
[ Thu Sep 29 16:45:26 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:45:26 2022 ] Eval epoch: 77
[ Thu Sep 29 16:45:31 2022 ] 	Mean test loss of 8 batches: 0.4695322848856449.
[ Thu Sep 29 16:45:31 2022 ] 	Top1: 86.85%
[ Thu Sep 29 16:45:31 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:45:31 2022 ] Training epoch: 78
[ Thu Sep 29 16:46:55 2022 ] 	Mean training loss: 0.0372. loss2: 0.0000. Mean training acc: 98.82%.
[ Thu Sep 29 16:46:55 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:46:55 2022 ] Eval epoch: 78
[ Thu Sep 29 16:47:00 2022 ] 	Mean test loss of 8 batches: 1.0142613165080547.
[ Thu Sep 29 16:47:00 2022 ] 	Top1: 73.71%
[ Thu Sep 29 16:47:00 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:47:00 2022 ] Training epoch: 79
[ Thu Sep 29 16:48:21 2022 ] 	Mean training loss: 0.0293. loss2: 0.0000. Mean training acc: 99.02%.
[ Thu Sep 29 16:48:21 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:48:21 2022 ] Eval epoch: 79
[ Thu Sep 29 16:48:26 2022 ] 	Mean test loss of 8 batches: 0.4948009215295315.
[ Thu Sep 29 16:48:26 2022 ] 	Top1: 86.64%
[ Thu Sep 29 16:48:26 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:48:26 2022 ] Training epoch: 80
[ Thu Sep 29 16:49:52 2022 ] 	Mean training loss: 0.0501. loss2: 0.0000. Mean training acc: 98.41%.
[ Thu Sep 29 16:49:52 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:49:52 2022 ] Eval epoch: 80
[ Thu Sep 29 16:49:57 2022 ] 	Mean test loss of 8 batches: 0.46948133036494255.
[ Thu Sep 29 16:49:57 2022 ] 	Top1: 87.07%
[ Thu Sep 29 16:49:57 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:49:57 2022 ] Training epoch: 81
[ Thu Sep 29 16:51:21 2022 ] 	Mean training loss: 0.0444. loss2: 0.0000. Mean training acc: 98.64%.
[ Thu Sep 29 16:51:21 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:51:21 2022 ] Eval epoch: 81
[ Thu Sep 29 16:51:26 2022 ] 	Mean test loss of 8 batches: 0.8154218564741313.
[ Thu Sep 29 16:51:26 2022 ] 	Top1: 79.31%
[ Thu Sep 29 16:51:26 2022 ] 	Top5: 98.06%
[ Thu Sep 29 16:51:26 2022 ] Training epoch: 82
[ Thu Sep 29 16:52:50 2022 ] 	Mean training loss: 0.0494. loss2: 0.0000. Mean training acc: 98.25%.
[ Thu Sep 29 16:52:50 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:52:50 2022 ] Eval epoch: 82
[ Thu Sep 29 16:52:55 2022 ] 	Mean test loss of 8 batches: 0.5846571391448379.
[ Thu Sep 29 16:52:55 2022 ] 	Top1: 83.84%
[ Thu Sep 29 16:52:55 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:52:55 2022 ] Training epoch: 83
[ Thu Sep 29 16:54:22 2022 ] 	Mean training loss: 0.0536. loss2: 0.0000. Mean training acc: 98.17%.
[ Thu Sep 29 16:54:22 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:54:22 2022 ] Eval epoch: 83
[ Thu Sep 29 16:54:27 2022 ] 	Mean test loss of 8 batches: 0.4440573761239648.
[ Thu Sep 29 16:54:27 2022 ] 	Top1: 87.72%
[ Thu Sep 29 16:54:27 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:54:27 2022 ] Training epoch: 84
[ Thu Sep 29 16:55:49 2022 ] 	Mean training loss: 0.0469. loss2: 0.0000. Mean training acc: 98.33%.
[ Thu Sep 29 16:55:49 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:55:49 2022 ] Eval epoch: 84
[ Thu Sep 29 16:55:54 2022 ] 	Mean test loss of 8 batches: 0.4492997583001852.
[ Thu Sep 29 16:55:54 2022 ] 	Top1: 88.15%
[ Thu Sep 29 16:55:54 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:55:54 2022 ] Training epoch: 85
[ Thu Sep 29 16:57:15 2022 ] 	Mean training loss: 0.0594. loss2: 0.0000. Mean training acc: 98.07%.
[ Thu Sep 29 16:57:15 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:57:16 2022 ] Eval epoch: 85
[ Thu Sep 29 16:57:21 2022 ] 	Mean test loss of 8 batches: 0.4258490698412061.
[ Thu Sep 29 16:57:21 2022 ] 	Top1: 87.28%
[ Thu Sep 29 16:57:21 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:57:21 2022 ] Training epoch: 86
[ Thu Sep 29 16:58:44 2022 ] 	Mean training loss: 0.0534. loss2: 0.0000. Mean training acc: 98.23%.
[ Thu Sep 29 16:58:44 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:58:45 2022 ] Eval epoch: 86
[ Thu Sep 29 16:58:50 2022 ] 	Mean test loss of 8 batches: 0.7605023897485808.
[ Thu Sep 29 16:58:50 2022 ] 	Top1: 85.13%
[ Thu Sep 29 16:58:50 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:58:50 2022 ] Training epoch: 87
[ Thu Sep 29 17:00:12 2022 ] 	Mean training loss: 0.0344. loss2: 0.0000. Mean training acc: 98.90%.
[ Thu Sep 29 17:00:12 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:00:12 2022 ] Eval epoch: 87
[ Thu Sep 29 17:00:18 2022 ] 	Mean test loss of 8 batches: 0.6127832105848938.
[ Thu Sep 29 17:00:18 2022 ] 	Top1: 87.07%
[ Thu Sep 29 17:00:18 2022 ] 	Top5: 98.06%
[ Thu Sep 29 17:00:18 2022 ] Training epoch: 88
[ Thu Sep 29 17:01:39 2022 ] 	Mean training loss: 0.0518. loss2: 0.0000. Mean training acc: 98.21%.
[ Thu Sep 29 17:01:39 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 17:01:39 2022 ] Eval epoch: 88
[ Thu Sep 29 17:01:44 2022 ] 	Mean test loss of 8 batches: 0.7407727874815464.
[ Thu Sep 29 17:01:44 2022 ] 	Top1: 81.68%
[ Thu Sep 29 17:01:44 2022 ] 	Top5: 98.71%
[ Thu Sep 29 17:01:44 2022 ] Training epoch: 89
[ Thu Sep 29 17:03:08 2022 ] 	Mean training loss: 0.0646. loss2: 0.0000. Mean training acc: 98.01%.
[ Thu Sep 29 17:03:08 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:03:08 2022 ] Eval epoch: 89
[ Thu Sep 29 17:03:13 2022 ] 	Mean test loss of 8 batches: 0.7056696517392993.
[ Thu Sep 29 17:03:13 2022 ] 	Top1: 81.03%
[ Thu Sep 29 17:03:13 2022 ] 	Top5: 98.71%
[ Thu Sep 29 17:03:13 2022 ] Training epoch: 90
[ Thu Sep 29 17:04:36 2022 ] 	Mean training loss: 0.0491. loss2: 0.0000. Mean training acc: 98.60%.
[ Thu Sep 29 17:04:36 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:04:36 2022 ] Eval epoch: 90
[ Thu Sep 29 17:04:42 2022 ] 	Mean test loss of 8 batches: 0.5547652933746576.
[ Thu Sep 29 17:04:42 2022 ] 	Top1: 87.50%
[ Thu Sep 29 17:04:42 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:04:42 2022 ] Training epoch: 91
[ Thu Sep 29 17:06:03 2022 ] 	Mean training loss: 0.0162. loss2: 0.0000. Mean training acc: 99.53%.
[ Thu Sep 29 17:06:03 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:06:03 2022 ] Eval epoch: 91
[ Thu Sep 29 17:06:09 2022 ] 	Mean test loss of 8 batches: 0.48152780532836914.
[ Thu Sep 29 17:06:09 2022 ] 	Top1: 88.36%
[ Thu Sep 29 17:06:09 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:06:09 2022 ] Training epoch: 92
[ Thu Sep 29 17:07:27 2022 ] 	Mean training loss: 0.0097. loss2: 0.0000. Mean training acc: 99.82%.
[ Thu Sep 29 17:07:27 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:07:27 2022 ] Eval epoch: 92
[ Thu Sep 29 17:07:32 2022 ] 	Mean test loss of 8 batches: 0.5186742655932903.
[ Thu Sep 29 17:07:32 2022 ] 	Top1: 86.42%
[ Thu Sep 29 17:07:32 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:07:32 2022 ] Training epoch: 93
[ Thu Sep 29 17:08:57 2022 ] 	Mean training loss: 0.0107. loss2: 0.0000. Mean training acc: 99.76%.
[ Thu Sep 29 17:08:57 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 17:08:57 2022 ] Eval epoch: 93
[ Thu Sep 29 17:09:02 2022 ] 	Mean test loss of 8 batches: 0.48421362042427063.
[ Thu Sep 29 17:09:02 2022 ] 	Top1: 87.28%
[ Thu Sep 29 17:09:02 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:09:02 2022 ] Training epoch: 94
[ Thu Sep 29 17:10:23 2022 ] 	Mean training loss: 0.0095. loss2: 0.0000. Mean training acc: 99.74%.
[ Thu Sep 29 17:10:23 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:10:23 2022 ] Eval epoch: 94
[ Thu Sep 29 17:10:27 2022 ] 	Mean test loss of 8 batches: 0.5079543851315975.
[ Thu Sep 29 17:10:27 2022 ] 	Top1: 87.72%
[ Thu Sep 29 17:10:27 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:10:27 2022 ] Training epoch: 95
[ Thu Sep 29 17:11:49 2022 ] 	Mean training loss: 0.0095. loss2: 0.0000. Mean training acc: 99.76%.
[ Thu Sep 29 17:11:49 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:11:50 2022 ] Eval epoch: 95
[ Thu Sep 29 17:11:54 2022 ] 	Mean test loss of 8 batches: 0.4877765355631709.
[ Thu Sep 29 17:11:54 2022 ] 	Top1: 87.93%
[ Thu Sep 29 17:11:54 2022 ] 	Top5: 99.78%
[ Thu Sep 29 17:11:54 2022 ] Training epoch: 96
[ Thu Sep 29 17:13:17 2022 ] 	Mean training loss: 0.0089. loss2: 0.0000. Mean training acc: 99.84%.
[ Thu Sep 29 17:13:17 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:13:17 2022 ] Eval epoch: 96
[ Thu Sep 29 17:13:22 2022 ] 	Mean test loss of 8 batches: 0.4433328048326075.
[ Thu Sep 29 17:13:22 2022 ] 	Top1: 89.66%
[ Thu Sep 29 17:13:22 2022 ] 	Top5: 99.78%
[ Thu Sep 29 17:13:22 2022 ] Training epoch: 97
[ Thu Sep 29 17:14:42 2022 ] 	Mean training loss: 0.0075. loss2: 0.0000. Mean training acc: 99.84%.
[ Thu Sep 29 17:14:42 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:14:42 2022 ] Eval epoch: 97
[ Thu Sep 29 17:14:47 2022 ] 	Mean test loss of 8 batches: 0.4740046188235283.
[ Thu Sep 29 17:14:47 2022 ] 	Top1: 88.36%
[ Thu Sep 29 17:14:47 2022 ] 	Top5: 99.78%
[ Thu Sep 29 17:14:47 2022 ] Training epoch: 98
[ Thu Sep 29 17:16:13 2022 ] 	Mean training loss: 0.0061. loss2: 0.0000. Mean training acc: 99.90%.
[ Thu Sep 29 17:16:13 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:16:13 2022 ] Eval epoch: 98
[ Thu Sep 29 17:16:17 2022 ] 	Mean test loss of 8 batches: 0.4192928336560726.
[ Thu Sep 29 17:16:17 2022 ] 	Top1: 90.30%
[ Thu Sep 29 17:16:17 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:16:17 2022 ] Training epoch: 99
[ Thu Sep 29 17:17:41 2022 ] 	Mean training loss: 0.0060. loss2: 0.0000. Mean training acc: 99.88%.
[ Thu Sep 29 17:17:41 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:17:41 2022 ] Eval epoch: 99
[ Thu Sep 29 17:17:46 2022 ] 	Mean test loss of 8 batches: 0.4881138475611806.
[ Thu Sep 29 17:17:46 2022 ] 	Top1: 88.58%
[ Thu Sep 29 17:17:46 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:17:46 2022 ] Training epoch: 100
[ Thu Sep 29 17:19:10 2022 ] 	Mean training loss: 0.0070. loss2: 0.0000. Mean training acc: 99.82%.
[ Thu Sep 29 17:19:10 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:19:10 2022 ] Eval epoch: 100
[ Thu Sep 29 17:19:15 2022 ] 	Mean test loss of 8 batches: 0.47714649606496096.
[ Thu Sep 29 17:19:15 2022 ] 	Top1: 89.22%
[ Thu Sep 29 17:19:15 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:19:15 2022 ] Training epoch: 101
[ Thu Sep 29 17:20:39 2022 ] 	Mean training loss: 0.0054. loss2: 0.0000. Mean training acc: 99.92%.
[ Thu Sep 29 17:20:39 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:20:39 2022 ] Eval epoch: 101
[ Thu Sep 29 17:20:44 2022 ] 	Mean test loss of 8 batches: 0.46660321950912476.
[ Thu Sep 29 17:20:44 2022 ] 	Top1: 88.79%
[ Thu Sep 29 17:20:44 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:20:44 2022 ] Training epoch: 102
[ Thu Sep 29 17:22:08 2022 ] 	Mean training loss: 0.0045. loss2: 0.0000. Mean training acc: 99.94%.
[ Thu Sep 29 17:22:08 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:22:08 2022 ] Eval epoch: 102
[ Thu Sep 29 17:22:13 2022 ] 	Mean test loss of 8 batches: 0.4535637302324176.
[ Thu Sep 29 17:22:13 2022 ] 	Top1: 89.22%
[ Thu Sep 29 17:22:13 2022 ] 	Top5: 99.78%
[ Thu Sep 29 17:22:13 2022 ] Training epoch: 103
[ Thu Sep 29 17:23:39 2022 ] 	Mean training loss: 0.0048. loss2: 0.0000. Mean training acc: 99.94%.
[ Thu Sep 29 17:23:39 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 17:23:39 2022 ] Eval epoch: 103
[ Thu Sep 29 17:23:44 2022 ] 	Mean test loss of 8 batches: 0.4751105261966586.
[ Thu Sep 29 17:23:44 2022 ] 	Top1: 89.01%
[ Thu Sep 29 17:23:44 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:23:44 2022 ] Training epoch: 104
[ Thu Sep 29 17:25:05 2022 ] 	Mean training loss: 0.0057. loss2: 0.0000. Mean training acc: 99.82%.
[ Thu Sep 29 17:25:05 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:25:05 2022 ] Eval epoch: 104
[ Thu Sep 29 17:25:11 2022 ] 	Mean test loss of 8 batches: 0.46826174203306437.
[ Thu Sep 29 17:25:11 2022 ] 	Top1: 88.15%
[ Thu Sep 29 17:25:11 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:25:11 2022 ] Training epoch: 105
[ Thu Sep 29 17:26:33 2022 ] 	Mean training loss: 0.0052. loss2: 0.0000. Mean training acc: 99.94%.
[ Thu Sep 29 17:26:33 2022 ] 	Time consumption: [Data]09%, [Network]89%
[ Thu Sep 29 17:26:33 2022 ] Eval epoch: 105
[ Thu Sep 29 17:26:38 2022 ] 	Mean test loss of 8 batches: 0.4443029211834073.
[ Thu Sep 29 17:26:38 2022 ] 	Top1: 89.87%
[ Thu Sep 29 17:26:38 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:26:38 2022 ] Training epoch: 106
[ Thu Sep 29 17:28:00 2022 ] 	Mean training loss: 0.0071. loss2: 0.0000. Mean training acc: 99.82%.
[ Thu Sep 29 17:28:00 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:28:00 2022 ] Eval epoch: 106
[ Thu Sep 29 17:28:05 2022 ] 	Mean test loss of 8 batches: 0.47798832785338163.
[ Thu Sep 29 17:28:05 2022 ] 	Top1: 88.79%
[ Thu Sep 29 17:28:05 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:28:05 2022 ] Training epoch: 107
[ Thu Sep 29 17:29:26 2022 ] 	Mean training loss: 0.0047. loss2: 0.0000. Mean training acc: 99.92%.
[ Thu Sep 29 17:29:26 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:29:26 2022 ] Eval epoch: 107
[ Thu Sep 29 17:29:32 2022 ] 	Mean test loss of 8 batches: 0.44261949323117733.
[ Thu Sep 29 17:29:32 2022 ] 	Top1: 89.44%
[ Thu Sep 29 17:29:32 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:29:32 2022 ] Training epoch: 108
[ Thu Sep 29 17:30:56 2022 ] 	Mean training loss: 0.0052. loss2: 0.0000. Mean training acc: 99.90%.
[ Thu Sep 29 17:30:56 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:30:56 2022 ] Eval epoch: 108
[ Thu Sep 29 17:31:01 2022 ] 	Mean test loss of 8 batches: 0.4563433490693569.
[ Thu Sep 29 17:31:01 2022 ] 	Top1: 89.22%
[ Thu Sep 29 17:31:01 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:31:01 2022 ] Training epoch: 109
[ Thu Sep 29 17:32:15 2022 ] 	Mean training loss: 0.0068. loss2: 0.0000. Mean training acc: 99.76%.
[ Thu Sep 29 17:32:15 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 17:32:15 2022 ] Eval epoch: 109
[ Thu Sep 29 17:32:19 2022 ] 	Mean test loss of 8 batches: 0.4674549391493201.
[ Thu Sep 29 17:32:19 2022 ] 	Top1: 88.79%
[ Thu Sep 29 17:32:19 2022 ] 	Top5: 99.78%
[ Thu Sep 29 17:32:19 2022 ] Training epoch: 110
[ Thu Sep 29 17:33:25 2022 ] 	Mean training loss: 0.0095. loss2: 0.0000. Mean training acc: 99.69%.
[ Thu Sep 29 17:33:25 2022 ] 	Time consumption: [Data]10%, [Network]89%
[ Thu Sep 29 17:33:25 2022 ] Eval epoch: 110
[ Thu Sep 29 17:33:29 2022 ] 	Mean test loss of 8 batches: 0.4668332478031516.
[ Thu Sep 29 17:33:29 2022 ] 	Top1: 89.22%
[ Thu Sep 29 17:33:29 2022 ] 	Top5: 99.78%
[ Thu Sep 29 17:33:34 2022 ] Best accuracy: 0.9030172413793104
[ Thu Sep 29 17:33:34 2022 ] Epoch number: 98
[ Thu Sep 29 17:33:34 2022 ] Model name: work_dir/ucla/fc_bone_vel2
[ Thu Sep 29 17:33:34 2022 ] Model total number of params: 2036242
[ Thu Sep 29 17:33:34 2022 ] Weight decay: 0.0001
[ Thu Sep 29 17:33:34 2022 ] Base LR: 0.05
[ Thu Sep 29 17:33:34 2022 ] Batch Size: 16
[ Thu Sep 29 17:33:34 2022 ] Test Batch Size: 64
[ Thu Sep 29 17:33:34 2022 ] seed: 1
