[ Thu Sep 29 14:49:45 2022 ] using warm up, epoch: 5
[ Thu Sep 29 14:49:53 2022 ] Parameters:
{'work_dir': 'work_dir/ucla/fc_joint2', 'model_saved_name': 'work_dir/ucla/fc_joint2/runs', 'config': 'config/ucla/fc.yaml', 'phase': 'train', 'save_score': False, 'joint_label': [], 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 35, 'eval_interval': 5, 'ema': False, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ucla.Feeder', 'num_worker': 48, 'train_feeder_args': {'data_path': 'joint', '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': 'joint', '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': [0], '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 14:49:53 2022 ] # Parameters: 2036242
[ Thu Sep 29 14:49:53 2022 ] Training epoch: 1
[ Thu Sep 29 14:50:53 2022 ] 	Mean training loss: 2.6880. loss2: 0.0000. Mean training acc: 45.74%.
[ Thu Sep 29 14:50:53 2022 ] 	Time consumption: [Data]09%, [Network]89%
[ Thu Sep 29 14:50:53 2022 ] Eval epoch: 1
[ Thu Sep 29 14:50:58 2022 ] 	Mean test loss of 8 batches: 1.120976209640503.
[ Thu Sep 29 14:50:58 2022 ] 	Top1: 58.62%
[ Thu Sep 29 14:50:58 2022 ] 	Top5: 97.84%
[ Thu Sep 29 14:50:58 2022 ] Training epoch: 2
[ Thu Sep 29 14:51:55 2022 ] 	Mean training loss: 1.2746. loss2: 0.0000. Mean training acc: 59.36%.
[ Thu Sep 29 14:51:55 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 14:51:55 2022 ] Eval epoch: 2
[ Thu Sep 29 14:51:59 2022 ] 	Mean test loss of 8 batches: 0.9645311161875725.
[ Thu Sep 29 14:51:59 2022 ] 	Top1: 64.44%
[ Thu Sep 29 14:51:59 2022 ] 	Top5: 96.98%
[ Thu Sep 29 14:51:59 2022 ] Training epoch: 3
[ Thu Sep 29 14:53:04 2022 ] 	Mean training loss: 1.1264. loss2: 0.0000. Mean training acc: 62.70%.
[ Thu Sep 29 14:53:04 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 14:53:04 2022 ] Eval epoch: 3
[ Thu Sep 29 14:53:10 2022 ] 	Mean test loss of 8 batches: 0.9130399897694588.
[ Thu Sep 29 14:53:10 2022 ] 	Top1: 67.67%
[ Thu Sep 29 14:53:10 2022 ] 	Top5: 98.49%
[ Thu Sep 29 14:53:10 2022 ] Training epoch: 4
[ Thu Sep 29 14:54:33 2022 ] 	Mean training loss: 0.9566. loss2: 0.0000. Mean training acc: 67.22%.
[ Thu Sep 29 14:54:33 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 14:54:33 2022 ] Eval epoch: 4
[ Thu Sep 29 14:54:40 2022 ] 	Mean test loss of 8 batches: 0.8915913924574852.
[ Thu Sep 29 14:54:40 2022 ] 	Top1: 64.22%
[ Thu Sep 29 14:54:40 2022 ] 	Top5: 98.28%
[ Thu Sep 29 14:54:40 2022 ] Training epoch: 5
[ Thu Sep 29 14:56:02 2022 ] 	Mean training loss: 0.9496. loss2: 0.0000. Mean training acc: 67.37%.
[ Thu Sep 29 14:56:02 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 14:56:02 2022 ] Eval epoch: 5
[ Thu Sep 29 14:56:09 2022 ] 	Mean test loss of 8 batches: 0.7099133431911469.
[ Thu Sep 29 14:56:09 2022 ] 	Top1: 75.43%
[ Thu Sep 29 14:56:09 2022 ] 	Top5: 98.92%
[ Thu Sep 29 14:56:09 2022 ] Training epoch: 6
[ Thu Sep 29 14:57:31 2022 ] 	Mean training loss: 0.8004. loss2: 0.0000. Mean training acc: 72.62%.
[ Thu Sep 29 14:57:31 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 14:57:31 2022 ] Eval epoch: 6
[ Thu Sep 29 14:57:37 2022 ] 	Mean test loss of 8 batches: 0.8231720477342606.
[ Thu Sep 29 14:57:37 2022 ] 	Top1: 68.32%
[ Thu Sep 29 14:57:37 2022 ] 	Top5: 98.92%
[ Thu Sep 29 14:57:37 2022 ] Training epoch: 7
[ Thu Sep 29 14:59:01 2022 ] 	Mean training loss: 0.6960. loss2: 0.0000. Mean training acc: 75.94%.
[ Thu Sep 29 14:59:01 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 14:59:01 2022 ] Eval epoch: 7
[ Thu Sep 29 14:59:07 2022 ] 	Mean test loss of 8 batches: 0.7772761806845665.
[ Thu Sep 29 14:59:07 2022 ] 	Top1: 69.40%
[ Thu Sep 29 14:59:07 2022 ] 	Top5: 98.71%
[ Thu Sep 29 14:59:07 2022 ] Training epoch: 8
[ Thu Sep 29 15:00:29 2022 ] 	Mean training loss: 0.6478. loss2: 0.0000. Mean training acc: 76.77%.
[ Thu Sep 29 15:00:29 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:00:29 2022 ] Eval epoch: 8
[ Thu Sep 29 15:00:34 2022 ] 	Mean test loss of 8 batches: 0.5537693873047829.
[ Thu Sep 29 15:00:34 2022 ] 	Top1: 82.11%
[ Thu Sep 29 15:00:34 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:00:34 2022 ] Training epoch: 9
[ Thu Sep 29 15:01:58 2022 ] 	Mean training loss: 0.5701. loss2: 0.0000. Mean training acc: 79.38%.
[ Thu Sep 29 15:01:58 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:01:58 2022 ] Eval epoch: 9
[ Thu Sep 29 15:02:03 2022 ] 	Mean test loss of 8 batches: 0.8250873684883118.
[ Thu Sep 29 15:02:03 2022 ] 	Top1: 70.91%
[ Thu Sep 29 15:02:03 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:02:03 2022 ] Training epoch: 10
[ Thu Sep 29 15:03:25 2022 ] 	Mean training loss: 0.5624. loss2: 0.0000. Mean training acc: 79.44%.
[ Thu Sep 29 15:03:25 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:03:25 2022 ] Eval epoch: 10
[ Thu Sep 29 15:03:32 2022 ] 	Mean test loss of 8 batches: 0.5977848283946514.
[ Thu Sep 29 15:03:32 2022 ] 	Top1: 78.66%
[ Thu Sep 29 15:03:32 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:03:32 2022 ] Training epoch: 11
[ Thu Sep 29 15:04:55 2022 ] 	Mean training loss: 0.5101. loss2: 0.0000. Mean training acc: 81.90%.
[ Thu Sep 29 15:04:55 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:04:55 2022 ] Eval epoch: 11
[ Thu Sep 29 15:05:01 2022 ] 	Mean test loss of 8 batches: 0.45954278111457825.
[ Thu Sep 29 15:05:01 2022 ] 	Top1: 85.34%
[ Thu Sep 29 15:05:01 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:05:01 2022 ] Training epoch: 12
[ Thu Sep 29 15:06:23 2022 ] 	Mean training loss: 0.4680. loss2: 0.0000. Mean training acc: 83.04%.
[ Thu Sep 29 15:06:23 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:06:23 2022 ] Eval epoch: 12
[ Thu Sep 29 15:06:29 2022 ] 	Mean test loss of 8 batches: 0.7685737758874893.
[ Thu Sep 29 15:06:29 2022 ] 	Top1: 71.98%
[ Thu Sep 29 15:06:29 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:06:29 2022 ] Training epoch: 13
[ Thu Sep 29 15:07:53 2022 ] 	Mean training loss: 0.4457. loss2: 0.0000. Mean training acc: 83.22%.
[ Thu Sep 29 15:07:53 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:07:53 2022 ] Eval epoch: 13
[ Thu Sep 29 15:07:59 2022 ] 	Mean test loss of 8 batches: 0.39110843278467655.
[ Thu Sep 29 15:07:59 2022 ] 	Top1: 86.64%
[ Thu Sep 29 15:07:59 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:07:59 2022 ] Training epoch: 14
[ Thu Sep 29 15:09:22 2022 ] 	Mean training loss: 0.4323. loss2: 0.0000. Mean training acc: 84.26%.
[ Thu Sep 29 15:09:22 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:09:22 2022 ] Eval epoch: 14
[ Thu Sep 29 15:09:28 2022 ] 	Mean test loss of 8 batches: 0.41296298056840897.
[ Thu Sep 29 15:09:28 2022 ] 	Top1: 86.64%
[ Thu Sep 29 15:09:28 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:09:28 2022 ] Training epoch: 15
[ Thu Sep 29 15:10:53 2022 ] 	Mean training loss: 0.3779. loss2: 0.0000. Mean training acc: 86.28%.
[ Thu Sep 29 15:10:53 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:10:53 2022 ] Eval epoch: 15
[ Thu Sep 29 15:11:00 2022 ] 	Mean test loss of 8 batches: 0.4113670662045479.
[ Thu Sep 29 15:11:00 2022 ] 	Top1: 86.85%
[ Thu Sep 29 15:11:00 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:11:00 2022 ] Training epoch: 16
[ Thu Sep 29 15:12:24 2022 ] 	Mean training loss: 0.3708. loss2: 0.0000. Mean training acc: 86.44%.
[ Thu Sep 29 15:12:24 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 15:12:24 2022 ] Eval epoch: 16
[ Thu Sep 29 15:12:30 2022 ] 	Mean test loss of 8 batches: 0.3860744424164295.
[ Thu Sep 29 15:12:30 2022 ] 	Top1: 87.50%
[ Thu Sep 29 15:12:30 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:12:30 2022 ] Training epoch: 17
[ Thu Sep 29 15:13:53 2022 ] 	Mean training loss: 0.3544. loss2: 0.0000. Mean training acc: 87.11%.
[ Thu Sep 29 15:13:53 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:13:53 2022 ] Eval epoch: 17
[ Thu Sep 29 15:13:59 2022 ] 	Mean test loss of 8 batches: 0.3728490974754095.
[ Thu Sep 29 15:13:59 2022 ] 	Top1: 85.99%
[ Thu Sep 29 15:13:59 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:13:59 2022 ] Training epoch: 18
[ Thu Sep 29 15:15:19 2022 ] 	Mean training loss: 0.3392. loss2: 0.0000. Mean training acc: 87.48%.
[ Thu Sep 29 15:15:19 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:15:19 2022 ] Eval epoch: 18
[ Thu Sep 29 15:15:26 2022 ] 	Mean test loss of 8 batches: 0.31310344487428665.
[ Thu Sep 29 15:15:26 2022 ] 	Top1: 90.95%
[ Thu Sep 29 15:15:26 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:15:26 2022 ] Training epoch: 19
[ Thu Sep 29 15:16:36 2022 ] 	Mean training loss: 0.3135. loss2: 0.0000. Mean training acc: 88.56%.
[ Thu Sep 29 15:16:36 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:16:36 2022 ] Eval epoch: 19
[ Thu Sep 29 15:16:41 2022 ] 	Mean test loss of 8 batches: 0.4227113388478756.
[ Thu Sep 29 15:16:41 2022 ] 	Top1: 87.93%
[ Thu Sep 29 15:16:41 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:16:41 2022 ] Training epoch: 20
[ Thu Sep 29 15:18:00 2022 ] 	Mean training loss: 0.3035. loss2: 0.0000. Mean training acc: 88.97%.
[ Thu Sep 29 15:18:00 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:18:00 2022 ] Eval epoch: 20
[ Thu Sep 29 15:18:06 2022 ] 	Mean test loss of 8 batches: 0.2752881497144699.
[ Thu Sep 29 15:18:06 2022 ] 	Top1: 90.52%
[ Thu Sep 29 15:18:06 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:18:06 2022 ] Training epoch: 21
[ Thu Sep 29 15:19:28 2022 ] 	Mean training loss: 0.2863. loss2: 0.0000. Mean training acc: 89.56%.
[ Thu Sep 29 15:19:28 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:19:28 2022 ] Eval epoch: 21
[ Thu Sep 29 15:19:35 2022 ] 	Mean test loss of 8 batches: 0.3123759049922228.
[ Thu Sep 29 15:19:35 2022 ] 	Top1: 87.93%
[ Thu Sep 29 15:19:35 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:19:35 2022 ] Training epoch: 22
[ Thu Sep 29 15:20:58 2022 ] 	Mean training loss: 0.2651. loss2: 0.0000. Mean training acc: 90.23%.
[ Thu Sep 29 15:20:58 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:20:58 2022 ] Eval epoch: 22
[ Thu Sep 29 15:21:04 2022 ] 	Mean test loss of 8 batches: 0.32467465475201607.
[ Thu Sep 29 15:21:04 2022 ] 	Top1: 89.01%
[ Thu Sep 29 15:21:04 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:21:04 2022 ] Training epoch: 23
[ Thu Sep 29 15:22:21 2022 ] 	Mean training loss: 0.2552. loss2: 0.0000. Mean training acc: 90.68%.
[ Thu Sep 29 15:22:21 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:22:21 2022 ] Eval epoch: 23
[ Thu Sep 29 15:22:27 2022 ] 	Mean test loss of 8 batches: 0.40903880074620247.
[ Thu Sep 29 15:22:27 2022 ] 	Top1: 87.50%
[ Thu Sep 29 15:22:27 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:22:27 2022 ] Training epoch: 24
[ Thu Sep 29 15:23:49 2022 ] 	Mean training loss: 0.2317. loss2: 0.0000. Mean training acc: 92.06%.
[ Thu Sep 29 15:23:49 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:23:49 2022 ] Eval epoch: 24
[ Thu Sep 29 15:23:55 2022 ] 	Mean test loss of 8 batches: 0.32053922582417727.
[ Thu Sep 29 15:23:55 2022 ] 	Top1: 92.03%
[ Thu Sep 29 15:23:55 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:23:55 2022 ] Training epoch: 25
[ Thu Sep 29 15:25:19 2022 ] 	Mean training loss: 0.2241. loss2: 0.0000. Mean training acc: 92.06%.
[ Thu Sep 29 15:25:19 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:25:19 2022 ] Eval epoch: 25
[ Thu Sep 29 15:25:26 2022 ] 	Mean test loss of 8 batches: 0.35259237699210644.
[ Thu Sep 29 15:25:26 2022 ] 	Top1: 86.85%
[ Thu Sep 29 15:25:26 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:25:26 2022 ] Training epoch: 26
[ Thu Sep 29 15:26:48 2022 ] 	Mean training loss: 0.2064. loss2: 0.0000. Mean training acc: 92.83%.
[ Thu Sep 29 15:26:48 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:26:48 2022 ] Eval epoch: 26
[ Thu Sep 29 15:26:54 2022 ] 	Mean test loss of 8 batches: 0.45539169758558273.
[ Thu Sep 29 15:26:54 2022 ] 	Top1: 86.21%
[ Thu Sep 29 15:26:54 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:26:54 2022 ] Training epoch: 27
[ Thu Sep 29 15:28:16 2022 ] 	Mean training loss: 0.2100. loss2: 0.0000. Mean training acc: 92.75%.
[ Thu Sep 29 15:28:16 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:28:16 2022 ] Eval epoch: 27
[ Thu Sep 29 15:28:22 2022 ] 	Mean test loss of 8 batches: 0.3668780215084553.
[ Thu Sep 29 15:28:22 2022 ] 	Top1: 86.42%
[ Thu Sep 29 15:28:22 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:28:22 2022 ] Training epoch: 28
[ Thu Sep 29 15:29:42 2022 ] 	Mean training loss: 0.2215. loss2: 0.0000. Mean training acc: 92.24%.
[ Thu Sep 29 15:29:42 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:29:42 2022 ] Eval epoch: 28
[ Thu Sep 29 15:29:48 2022 ] 	Mean test loss of 8 batches: 0.5019853785634041.
[ Thu Sep 29 15:29:48 2022 ] 	Top1: 86.64%
[ Thu Sep 29 15:29:48 2022 ] 	Top5: 98.71%
[ Thu Sep 29 15:29:48 2022 ] Training epoch: 29
[ Thu Sep 29 15:31:09 2022 ] 	Mean training loss: 0.1870. loss2: 0.0000. Mean training acc: 93.42%.
[ Thu Sep 29 15:31:09 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:31:09 2022 ] Eval epoch: 29
[ Thu Sep 29 15:31:15 2022 ] 	Mean test loss of 8 batches: 0.34148551523685455.
[ Thu Sep 29 15:31:15 2022 ] 	Top1: 90.73%
[ Thu Sep 29 15:31:15 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:31:15 2022 ] Training epoch: 30
[ Thu Sep 29 15:32:38 2022 ] 	Mean training loss: 0.1954. loss2: 0.0000. Mean training acc: 93.26%.
[ Thu Sep 29 15:32:38 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:32:38 2022 ] Eval epoch: 30
[ Thu Sep 29 15:32:45 2022 ] 	Mean test loss of 8 batches: 0.5227117277681828.
[ Thu Sep 29 15:32:45 2022 ] 	Top1: 84.05%
[ Thu Sep 29 15:32:45 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:32:45 2022 ] Training epoch: 31
[ Thu Sep 29 15:34:06 2022 ] 	Mean training loss: 0.1785. loss2: 0.0000. Mean training acc: 93.95%.
[ Thu Sep 29 15:34:06 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:34:06 2022 ] Eval epoch: 31
[ Thu Sep 29 15:34:12 2022 ] 	Mean test loss of 8 batches: 0.49091751500964165.
[ Thu Sep 29 15:34:12 2022 ] 	Top1: 83.62%
[ Thu Sep 29 15:34:12 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:34:12 2022 ] Training epoch: 32
[ Thu Sep 29 15:35:36 2022 ] 	Mean training loss: 0.1663. loss2: 0.0000. Mean training acc: 94.44%.
[ Thu Sep 29 15:35:36 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:35:36 2022 ] Eval epoch: 32
[ Thu Sep 29 15:35:42 2022 ] 	Mean test loss of 8 batches: 0.35996874794363976.
[ Thu Sep 29 15:35:42 2022 ] 	Top1: 89.87%
[ Thu Sep 29 15:35:42 2022 ] 	Top5: 98.92%
[ Thu Sep 29 15:35:42 2022 ] Training epoch: 33
[ Thu Sep 29 15:37:06 2022 ] 	Mean training loss: 0.1660. loss2: 0.0000. Mean training acc: 93.91%.
[ Thu Sep 29 15:37:06 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:37:06 2022 ] Eval epoch: 33
[ Thu Sep 29 15:37:12 2022 ] 	Mean test loss of 8 batches: 0.3316581081598997.
[ Thu Sep 29 15:37:12 2022 ] 	Top1: 89.87%
[ Thu Sep 29 15:37:12 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:37:12 2022 ] Training epoch: 34
[ Thu Sep 29 15:38:37 2022 ] 	Mean training loss: 0.1448. loss2: 0.0000. Mean training acc: 95.11%.
[ Thu Sep 29 15:38:37 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 15:38:37 2022 ] Eval epoch: 34
[ Thu Sep 29 15:38:43 2022 ] 	Mean test loss of 8 batches: 0.3986966609954834.
[ Thu Sep 29 15:38:43 2022 ] 	Top1: 88.79%
[ Thu Sep 29 15:38:43 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:38:43 2022 ] Training epoch: 35
[ Thu Sep 29 15:40:07 2022 ] 	Mean training loss: 0.1267. loss2: 0.0000. Mean training acc: 95.77%.
[ Thu Sep 29 15:40:07 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:40:07 2022 ] Eval epoch: 35
[ Thu Sep 29 15:40:13 2022 ] 	Mean test loss of 8 batches: 0.4225134141743183.
[ Thu Sep 29 15:40:13 2022 ] 	Top1: 90.30%
[ Thu Sep 29 15:40:13 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:40:13 2022 ] Training epoch: 36
[ Thu Sep 29 15:41:35 2022 ] 	Mean training loss: 0.1421. loss2: 0.0000. Mean training acc: 94.99%.
[ Thu Sep 29 15:41:35 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:41:35 2022 ] Eval epoch: 36
[ Thu Sep 29 15:41:41 2022 ] 	Mean test loss of 8 batches: 0.3500425089150667.
[ Thu Sep 29 15:41:41 2022 ] 	Top1: 90.30%
[ Thu Sep 29 15:41:41 2022 ] 	Top5: 99.78%
[ Thu Sep 29 15:41:41 2022 ] Training epoch: 37
[ Thu Sep 29 15:43:01 2022 ] 	Mean training loss: 0.1498. loss2: 0.0000. Mean training acc: 94.65%.
[ Thu Sep 29 15:43:01 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 15:43:01 2022 ] Eval epoch: 37
[ Thu Sep 29 15:43:07 2022 ] 	Mean test loss of 8 batches: 0.47565386816859245.
[ Thu Sep 29 15:43:07 2022 ] 	Top1: 85.56%
[ Thu Sep 29 15:43:07 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:43:07 2022 ] Training epoch: 38
[ Thu Sep 29 15:44:30 2022 ] 	Mean training loss: 0.1602. loss2: 0.0000. Mean training acc: 94.61%.
[ Thu Sep 29 15:44:30 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:44:30 2022 ] Eval epoch: 38
[ Thu Sep 29 15:44:35 2022 ] 	Mean test loss of 8 batches: 0.41382133681327105.
[ Thu Sep 29 15:44:35 2022 ] 	Top1: 88.79%
[ Thu Sep 29 15:44:35 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:44:35 2022 ] Training epoch: 39
[ Thu Sep 29 15:45:58 2022 ] 	Mean training loss: 0.1118. loss2: 0.0000. Mean training acc: 96.40%.
[ Thu Sep 29 15:45:58 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:45:58 2022 ] Eval epoch: 39
[ Thu Sep 29 15:46:04 2022 ] 	Mean test loss of 8 batches: 0.35262688994407654.
[ Thu Sep 29 15:46:04 2022 ] 	Top1: 90.95%
[ Thu Sep 29 15:46:04 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:46:04 2022 ] Training epoch: 40
[ Thu Sep 29 15:47:27 2022 ] 	Mean training loss: 0.1344. loss2: 0.0000. Mean training acc: 95.26%.
[ Thu Sep 29 15:47:27 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:47:27 2022 ] Eval epoch: 40
[ Thu Sep 29 15:47:34 2022 ] 	Mean test loss of 8 batches: 0.5042103473097086.
[ Thu Sep 29 15:47:34 2022 ] 	Top1: 85.56%
[ Thu Sep 29 15:47:34 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:47:34 2022 ] Training epoch: 41
[ Thu Sep 29 15:48:54 2022 ] 	Mean training loss: 0.1131. loss2: 0.0000. Mean training acc: 95.93%.
[ Thu Sep 29 15:48:54 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:48:55 2022 ] Eval epoch: 41
[ Thu Sep 29 15:49:01 2022 ] 	Mean test loss of 8 batches: 0.5167700573801994.
[ Thu Sep 29 15:49:01 2022 ] 	Top1: 87.50%
[ Thu Sep 29 15:49:01 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:49:01 2022 ] Training epoch: 42
[ Thu Sep 29 15:50:24 2022 ] 	Mean training loss: 0.1079. loss2: 0.0000. Mean training acc: 96.23%.
[ Thu Sep 29 15:50:24 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:50:24 2022 ] Eval epoch: 42
[ Thu Sep 29 15:50:30 2022 ] 	Mean test loss of 8 batches: 0.4591068886220455.
[ Thu Sep 29 15:50:30 2022 ] 	Top1: 85.78%
[ Thu Sep 29 15:50:30 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:50:30 2022 ] Training epoch: 43
[ Thu Sep 29 15:51:53 2022 ] 	Mean training loss: 0.1200. loss2: 0.0000. Mean training acc: 95.74%.
[ Thu Sep 29 15:51:53 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:51:53 2022 ] Eval epoch: 43
[ Thu Sep 29 15:51:59 2022 ] 	Mean test loss of 8 batches: 0.24463922437280416.
[ Thu Sep 29 15:51:59 2022 ] 	Top1: 93.32%
[ Thu Sep 29 15:51:59 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:51:59 2022 ] Training epoch: 44
[ Thu Sep 29 15:53:19 2022 ] 	Mean training loss: 0.0946. loss2: 0.0000. Mean training acc: 96.64%.
[ Thu Sep 29 15:53:19 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 15:53:19 2022 ] Eval epoch: 44
[ Thu Sep 29 15:53:25 2022 ] 	Mean test loss of 8 batches: 0.40154833626002073.
[ Thu Sep 29 15:53:25 2022 ] 	Top1: 87.28%
[ Thu Sep 29 15:53:25 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:53:25 2022 ] Training epoch: 45
[ Thu Sep 29 15:54:46 2022 ] 	Mean training loss: 0.1179. loss2: 0.0000. Mean training acc: 96.13%.
[ Thu Sep 29 15:54:46 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:54:46 2022 ] Eval epoch: 45
[ Thu Sep 29 15:54:52 2022 ] 	Mean test loss of 8 batches: 0.507770337164402.
[ Thu Sep 29 15:54:52 2022 ] 	Top1: 85.34%
[ Thu Sep 29 15:54:52 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:54:52 2022 ] Training epoch: 46
[ Thu Sep 29 15:56:16 2022 ] 	Mean training loss: 0.1190. loss2: 0.0000. Mean training acc: 95.93%.
[ Thu Sep 29 15:56:16 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 15:56:16 2022 ] Eval epoch: 46
[ Thu Sep 29 15:56:22 2022 ] 	Mean test loss of 8 batches: 0.42082691565155983.
[ Thu Sep 29 15:56:22 2022 ] 	Top1: 88.36%
[ Thu Sep 29 15:56:22 2022 ] 	Top5: 99.57%
[ Thu Sep 29 15:56:22 2022 ] Training epoch: 47
[ Thu Sep 29 15:57:46 2022 ] 	Mean training loss: 0.0852. loss2: 0.0000. Mean training acc: 97.13%.
[ Thu Sep 29 15:57:46 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 15:57:46 2022 ] Eval epoch: 47
[ Thu Sep 29 15:57:52 2022 ] 	Mean test loss of 8 batches: 0.4111821297556162.
[ Thu Sep 29 15:57:52 2022 ] 	Top1: 88.58%
[ Thu Sep 29 15:57:52 2022 ] 	Top5: 99.14%
[ Thu Sep 29 15:57:52 2022 ] Training epoch: 48
[ Thu Sep 29 15:59:17 2022 ] 	Mean training loss: 0.0876. loss2: 0.0000. Mean training acc: 97.09%.
[ Thu Sep 29 15:59:17 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 15:59:17 2022 ] Eval epoch: 48
[ Thu Sep 29 15:59:23 2022 ] 	Mean test loss of 8 batches: 0.6027776468545198.
[ Thu Sep 29 15:59:23 2022 ] 	Top1: 82.76%
[ Thu Sep 29 15:59:23 2022 ] 	Top5: 99.35%
[ Thu Sep 29 15:59:23 2022 ] Training epoch: 49
[ Thu Sep 29 16:00:46 2022 ] 	Mean training loss: 0.0958. loss2: 0.0000. Mean training acc: 96.91%.
[ Thu Sep 29 16:00:46 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:00:47 2022 ] Eval epoch: 49
[ Thu Sep 29 16:00:52 2022 ] 	Mean test loss of 8 batches: 0.3693527914583683.
[ Thu Sep 29 16:00:52 2022 ] 	Top1: 89.22%
[ Thu Sep 29 16:00:52 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:00:52 2022 ] Training epoch: 50
[ Thu Sep 29 16:02:17 2022 ] 	Mean training loss: 0.0857. loss2: 0.0000. Mean training acc: 97.15%.
[ Thu Sep 29 16:02:17 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:02:17 2022 ] Eval epoch: 50
[ Thu Sep 29 16:02:23 2022 ] 	Mean test loss of 8 batches: 0.5240088999271393.
[ Thu Sep 29 16:02:23 2022 ] 	Top1: 86.21%
[ Thu Sep 29 16:02:23 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:02:23 2022 ] Training epoch: 51
[ Thu Sep 29 16:03:46 2022 ] 	Mean training loss: 0.0732. loss2: 0.0000. Mean training acc: 97.70%.
[ Thu Sep 29 16:03:46 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:03:46 2022 ] Eval epoch: 51
[ Thu Sep 29 16:03:51 2022 ] 	Mean test loss of 8 batches: 0.6109857857227325.
[ Thu Sep 29 16:03:51 2022 ] 	Top1: 84.27%
[ Thu Sep 29 16:03:51 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:03:51 2022 ] Training epoch: 52
[ Thu Sep 29 16:05:15 2022 ] 	Mean training loss: 0.0852. loss2: 0.0000. Mean training acc: 97.31%.
[ Thu Sep 29 16:05:15 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:05:15 2022 ] Eval epoch: 52
[ Thu Sep 29 16:05:21 2022 ] 	Mean test loss of 8 batches: 0.839070986956358.
[ Thu Sep 29 16:05:21 2022 ] 	Top1: 78.88%
[ Thu Sep 29 16:05:21 2022 ] 	Top5: 98.06%
[ Thu Sep 29 16:05:21 2022 ] Training epoch: 53
[ Thu Sep 29 16:06:44 2022 ] 	Mean training loss: 0.0910. loss2: 0.0000. Mean training acc: 96.82%.
[ Thu Sep 29 16:06:44 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:06:44 2022 ] Eval epoch: 53
[ Thu Sep 29 16:06:49 2022 ] 	Mean test loss of 8 batches: 0.4424210302531719.
[ Thu Sep 29 16:06:49 2022 ] 	Top1: 87.50%
[ Thu Sep 29 16:06:49 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:06:49 2022 ] Training epoch: 54
[ Thu Sep 29 16:08:15 2022 ] 	Mean training loss: 0.0788. loss2: 0.0000. Mean training acc: 97.27%.
[ Thu Sep 29 16:08:15 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:08:15 2022 ] Eval epoch: 54
[ Thu Sep 29 16:08:21 2022 ] 	Mean test loss of 8 batches: 0.37787808664143085.
[ Thu Sep 29 16:08:21 2022 ] 	Top1: 89.66%
[ Thu Sep 29 16:08:21 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:08:21 2022 ] Training epoch: 55
[ Thu Sep 29 16:09:43 2022 ] 	Mean training loss: 0.1158. loss2: 0.0000. Mean training acc: 96.21%.
[ Thu Sep 29 16:09:43 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:09:43 2022 ] Eval epoch: 55
[ Thu Sep 29 16:09:49 2022 ] 	Mean test loss of 8 batches: 0.3230142337270081.
[ Thu Sep 29 16:09:49 2022 ] 	Top1: 91.38%
[ Thu Sep 29 16:09:49 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:09:49 2022 ] Training epoch: 56
[ Thu Sep 29 16:11:08 2022 ] 	Mean training loss: 0.0916. loss2: 0.0000. Mean training acc: 96.66%.
[ Thu Sep 29 16:11:08 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:11:09 2022 ] Eval epoch: 56
[ Thu Sep 29 16:11:14 2022 ] 	Mean test loss of 8 batches: 0.622489795088768.
[ Thu Sep 29 16:11:14 2022 ] 	Top1: 86.21%
[ Thu Sep 29 16:11:14 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:11:14 2022 ] Training epoch: 57
[ Thu Sep 29 16:12:37 2022 ] 	Mean training loss: 0.0754. loss2: 0.0000. Mean training acc: 97.50%.
[ Thu Sep 29 16:12:37 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:12:37 2022 ] Eval epoch: 57
[ Thu Sep 29 16:12:44 2022 ] 	Mean test loss of 8 batches: 0.33336160331964493.
[ Thu Sep 29 16:12:44 2022 ] 	Top1: 89.44%
[ Thu Sep 29 16:12:44 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:12:44 2022 ] Training epoch: 58
[ Thu Sep 29 16:14:07 2022 ] 	Mean training loss: 0.0685. loss2: 0.0000. Mean training acc: 97.68%.
[ Thu Sep 29 16:14:07 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 16:14:07 2022 ] Eval epoch: 58
[ Thu Sep 29 16:14:13 2022 ] 	Mean test loss of 8 batches: 0.32600561901926994.
[ Thu Sep 29 16:14:13 2022 ] 	Top1: 90.73%
[ Thu Sep 29 16:14:13 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:14:13 2022 ] Training epoch: 59
[ Thu Sep 29 16:15:35 2022 ] 	Mean training loss: 0.0807. loss2: 0.0000. Mean training acc: 97.33%.
[ Thu Sep 29 16:15:35 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:15:35 2022 ] Eval epoch: 59
[ Thu Sep 29 16:15:40 2022 ] 	Mean test loss of 8 batches: 0.5072052897885442.
[ Thu Sep 29 16:15:40 2022 ] 	Top1: 86.85%
[ Thu Sep 29 16:15:40 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:15:40 2022 ] Training epoch: 60
[ Thu Sep 29 16:17:08 2022 ] 	Mean training loss: 0.0578. loss2: 0.0000. Mean training acc: 98.37%.
[ Thu Sep 29 16:17:08 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:17:08 2022 ] Eval epoch: 60
[ Thu Sep 29 16:17:15 2022 ] 	Mean test loss of 8 batches: 0.44304131157696247.
[ Thu Sep 29 16:17:15 2022 ] 	Top1: 85.56%
[ Thu Sep 29 16:17:15 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:17:15 2022 ] Training epoch: 61
[ Thu Sep 29 16:18:37 2022 ] 	Mean training loss: 0.0608. loss2: 0.0000. Mean training acc: 98.25%.
[ Thu Sep 29 16:18:37 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:18:37 2022 ] Eval epoch: 61
[ Thu Sep 29 16:18:44 2022 ] 	Mean test loss of 8 batches: 0.3030707221478224.
[ Thu Sep 29 16:18:44 2022 ] 	Top1: 90.73%
[ Thu Sep 29 16:18:44 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:18:44 2022 ] Training epoch: 62
[ Thu Sep 29 16:20:06 2022 ] 	Mean training loss: 0.0711. loss2: 0.0000. Mean training acc: 97.66%.
[ Thu Sep 29 16:20:06 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:20:06 2022 ] Eval epoch: 62
[ Thu Sep 29 16:20:12 2022 ] 	Mean test loss of 8 batches: 0.46304716169834137.
[ Thu Sep 29 16:20:12 2022 ] 	Top1: 85.34%
[ Thu Sep 29 16:20:12 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:20:12 2022 ] Training epoch: 63
[ Thu Sep 29 16:21:35 2022 ] 	Mean training loss: 0.0834. loss2: 0.0000. Mean training acc: 97.15%.
[ Thu Sep 29 16:21:35 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:21:35 2022 ] Eval epoch: 63
[ Thu Sep 29 16:21:41 2022 ] 	Mean test loss of 8 batches: 0.6112294942140579.
[ Thu Sep 29 16:21:41 2022 ] 	Top1: 85.99%
[ Thu Sep 29 16:21:41 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:21:41 2022 ] Training epoch: 64
[ Thu Sep 29 16:23:05 2022 ] 	Mean training loss: 0.0811. loss2: 0.0000. Mean training acc: 97.25%.
[ Thu Sep 29 16:23:05 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:23:06 2022 ] Eval epoch: 64
[ Thu Sep 29 16:23:12 2022 ] 	Mean test loss of 8 batches: 0.7815000861883163.
[ Thu Sep 29 16:23:12 2022 ] 	Top1: 83.62%
[ Thu Sep 29 16:23:12 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:23:12 2022 ] Training epoch: 65
[ Thu Sep 29 16:24:36 2022 ] 	Mean training loss: 0.0709. loss2: 0.0000. Mean training acc: 97.78%.
[ Thu Sep 29 16:24:36 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:24:36 2022 ] Eval epoch: 65
[ Thu Sep 29 16:24:43 2022 ] 	Mean test loss of 8 batches: 0.40465395152568817.
[ Thu Sep 29 16:24:43 2022 ] 	Top1: 85.99%
[ Thu Sep 29 16:24:43 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:24:43 2022 ] Training epoch: 66
[ Thu Sep 29 16:26:06 2022 ] 	Mean training loss: 0.0792. loss2: 0.0000. Mean training acc: 97.43%.
[ Thu Sep 29 16:26:06 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:26:06 2022 ] Eval epoch: 66
[ Thu Sep 29 16:26:12 2022 ] 	Mean test loss of 8 batches: 0.32387105375528336.
[ Thu Sep 29 16:26:12 2022 ] 	Top1: 91.59%
[ Thu Sep 29 16:26:12 2022 ] 	Top5: 98.92%
[ Thu Sep 29 16:26:12 2022 ] Training epoch: 67
[ Thu Sep 29 16:27:32 2022 ] 	Mean training loss: 0.0602. loss2: 0.0000. Mean training acc: 98.21%.
[ Thu Sep 29 16:27:32 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:27:32 2022 ] Eval epoch: 67
[ Thu Sep 29 16:27:38 2022 ] 	Mean test loss of 8 batches: 0.5051737939938903.
[ Thu Sep 29 16:27:38 2022 ] 	Top1: 87.93%
[ Thu Sep 29 16:27:38 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:27:38 2022 ] Training epoch: 68
[ Thu Sep 29 16:28:58 2022 ] 	Mean training loss: 0.0533. loss2: 0.0000. Mean training acc: 98.17%.
[ Thu Sep 29 16:28:58 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 16:28:58 2022 ] Eval epoch: 68
[ Thu Sep 29 16:29:04 2022 ] 	Mean test loss of 8 batches: 0.3780360296368599.
[ Thu Sep 29 16:29:04 2022 ] 	Top1: 89.44%
[ Thu Sep 29 16:29:04 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:29:04 2022 ] Training epoch: 69
[ Thu Sep 29 16:30:23 2022 ] 	Mean training loss: 0.0462. loss2: 0.0000. Mean training acc: 98.37%.
[ Thu Sep 29 16:30:23 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 16:30:23 2022 ] Eval epoch: 69
[ Thu Sep 29 16:30:28 2022 ] 	Mean test loss of 8 batches: 0.44788080640137196.
[ Thu Sep 29 16:30:28 2022 ] 	Top1: 86.85%
[ Thu Sep 29 16:30:28 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:30:28 2022 ] Training epoch: 70
[ Thu Sep 29 16:31:49 2022 ] 	Mean training loss: 0.0648. loss2: 0.0000. Mean training acc: 97.98%.
[ Thu Sep 29 16:31:49 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 16:31:49 2022 ] Eval epoch: 70
[ Thu Sep 29 16:31:55 2022 ] 	Mean test loss of 8 batches: 0.2858381224796176.
[ Thu Sep 29 16:31:55 2022 ] 	Top1: 91.16%
[ Thu Sep 29 16:31:55 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:31:55 2022 ] Training epoch: 71
[ Thu Sep 29 16:33:18 2022 ] 	Mean training loss: 0.0848. loss2: 0.0000. Mean training acc: 97.15%.
[ Thu Sep 29 16:33:18 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:33:18 2022 ] Eval epoch: 71
[ Thu Sep 29 16:33:24 2022 ] 	Mean test loss of 8 batches: 0.27290764916688204.
[ Thu Sep 29 16:33:24 2022 ] 	Top1: 91.81%
[ Thu Sep 29 16:33:24 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:33:24 2022 ] Training epoch: 72
[ Thu Sep 29 16:34:46 2022 ] 	Mean training loss: 0.0679. loss2: 0.0000. Mean training acc: 97.84%.
[ Thu Sep 29 16:34:46 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:34:46 2022 ] Eval epoch: 72
[ Thu Sep 29 16:34:52 2022 ] 	Mean test loss of 8 batches: 0.4672070201486349.
[ Thu Sep 29 16:34:52 2022 ] 	Top1: 87.50%
[ Thu Sep 29 16:34:52 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:34:52 2022 ] Training epoch: 73
[ Thu Sep 29 16:36:17 2022 ] 	Mean training loss: 0.0590. loss2: 0.0000. Mean training acc: 97.82%.
[ Thu Sep 29 16:36:17 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:36:17 2022 ] Eval epoch: 73
[ Thu Sep 29 16:36:23 2022 ] 	Mean test loss of 8 batches: 0.29882783256471157.
[ Thu Sep 29 16:36:23 2022 ] 	Top1: 92.67%
[ Thu Sep 29 16:36:23 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:36:23 2022 ] Training epoch: 74
[ Thu Sep 29 16:37:43 2022 ] 	Mean training loss: 0.0445. loss2: 0.0000. Mean training acc: 98.58%.
[ Thu Sep 29 16:37:43 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:37:43 2022 ] Eval epoch: 74
[ Thu Sep 29 16:37:50 2022 ] 	Mean test loss of 8 batches: 0.28593849251046777.
[ Thu Sep 29 16:37:50 2022 ] 	Top1: 91.59%
[ Thu Sep 29 16:37:50 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:37:50 2022 ] Training epoch: 75
[ Thu Sep 29 16:39:14 2022 ] 	Mean training loss: 0.0586. loss2: 0.0000. Mean training acc: 98.13%.
[ Thu Sep 29 16:39:14 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:39:14 2022 ] Eval epoch: 75
[ Thu Sep 29 16:39:20 2022 ] 	Mean test loss of 8 batches: 0.3014945462346077.
[ Thu Sep 29 16:39:20 2022 ] 	Top1: 91.38%
[ Thu Sep 29 16:39:20 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:39:20 2022 ] Training epoch: 76
[ Thu Sep 29 16:40:43 2022 ] 	Mean training loss: 0.0541. loss2: 0.0000. Mean training acc: 98.27%.
[ Thu Sep 29 16:40:43 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:40:44 2022 ] Eval epoch: 76
[ Thu Sep 29 16:40:49 2022 ] 	Mean test loss of 8 batches: 0.5430850423872471.
[ Thu Sep 29 16:40:49 2022 ] 	Top1: 85.13%
[ Thu Sep 29 16:40:49 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:40:49 2022 ] Training epoch: 77
[ Thu Sep 29 16:42:14 2022 ] 	Mean training loss: 0.0433. loss2: 0.0000. Mean training acc: 98.58%.
[ Thu Sep 29 16:42:14 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:42:14 2022 ] Eval epoch: 77
[ Thu Sep 29 16:42:20 2022 ] 	Mean test loss of 8 batches: 0.3107617050409317.
[ Thu Sep 29 16:42:20 2022 ] 	Top1: 90.73%
[ Thu Sep 29 16:42:20 2022 ] 	Top5: 100.00%
[ Thu Sep 29 16:42:20 2022 ] Training epoch: 78
[ Thu Sep 29 16:43:44 2022 ] 	Mean training loss: 0.0656. loss2: 0.0000. Mean training acc: 97.76%.
[ Thu Sep 29 16:43:44 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:43:45 2022 ] Eval epoch: 78
[ Thu Sep 29 16:43:52 2022 ] 	Mean test loss of 8 batches: 0.26458107586950064.
[ Thu Sep 29 16:43:52 2022 ] 	Top1: 90.52%
[ Thu Sep 29 16:43:52 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:43:52 2022 ] Training epoch: 79
[ Thu Sep 29 16:45:18 2022 ] 	Mean training loss: 0.0628. loss2: 0.0000. Mean training acc: 97.64%.
[ Thu Sep 29 16:45:18 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:45:18 2022 ] Eval epoch: 79
[ Thu Sep 29 16:45:24 2022 ] 	Mean test loss of 8 batches: 0.30927171371877193.
[ Thu Sep 29 16:45:24 2022 ] 	Top1: 90.30%
[ Thu Sep 29 16:45:24 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:45:24 2022 ] Training epoch: 80
[ Thu Sep 29 16:46:45 2022 ] 	Mean training loss: 0.0823. loss2: 0.0000. Mean training acc: 97.43%.
[ Thu Sep 29 16:46:45 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:46:45 2022 ] Eval epoch: 80
[ Thu Sep 29 16:46:51 2022 ] 	Mean test loss of 8 batches: 0.36432841047644615.
[ Thu Sep 29 16:46:51 2022 ] 	Top1: 90.09%
[ Thu Sep 29 16:46:51 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:46:51 2022 ] Training epoch: 81
[ Thu Sep 29 16:48:14 2022 ] 	Mean training loss: 0.0515. loss2: 0.0000. Mean training acc: 98.35%.
[ Thu Sep 29 16:48:14 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:48:14 2022 ] Eval epoch: 81
[ Thu Sep 29 16:48:20 2022 ] 	Mean test loss of 8 batches: 0.36067238356918097.
[ Thu Sep 29 16:48:20 2022 ] 	Top1: 90.73%
[ Thu Sep 29 16:48:20 2022 ] 	Top5: 99.14%
[ Thu Sep 29 16:48:20 2022 ] Training epoch: 82
[ Thu Sep 29 16:49:42 2022 ] 	Mean training loss: 0.0498. loss2: 0.0000. Mean training acc: 98.41%.
[ Thu Sep 29 16:49:42 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:49:42 2022 ] Eval epoch: 82
[ Thu Sep 29 16:49:48 2022 ] 	Mean test loss of 8 batches: 0.36955324560403824.
[ Thu Sep 29 16:49:48 2022 ] 	Top1: 89.22%
[ Thu Sep 29 16:49:48 2022 ] 	Top5: 99.78%
[ Thu Sep 29 16:49:48 2022 ] Training epoch: 83
[ Thu Sep 29 16:51:11 2022 ] 	Mean training loss: 0.0731. loss2: 0.0000. Mean training acc: 97.64%.
[ Thu Sep 29 16:51:11 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:51:11 2022 ] Eval epoch: 83
[ Thu Sep 29 16:51:17 2022 ] 	Mean test loss of 8 batches: 0.34795103780925274.
[ Thu Sep 29 16:51:17 2022 ] 	Top1: 90.30%
[ Thu Sep 29 16:51:17 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:51:17 2022 ] Training epoch: 84
[ Thu Sep 29 16:52:43 2022 ] 	Mean training loss: 0.0474. loss2: 0.0000. Mean training acc: 98.47%.
[ Thu Sep 29 16:52:43 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:52:43 2022 ] Eval epoch: 84
[ Thu Sep 29 16:52:49 2022 ] 	Mean test loss of 8 batches: 0.3081662580370903.
[ Thu Sep 29 16:52:49 2022 ] 	Top1: 91.81%
[ Thu Sep 29 16:52:49 2022 ] 	Top5: 99.35%
[ Thu Sep 29 16:52:49 2022 ] Training epoch: 85
[ Thu Sep 29 16:54:09 2022 ] 	Mean training loss: 0.0335. loss2: 0.0000. Mean training acc: 98.88%.
[ Thu Sep 29 16:54:09 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 16:54:10 2022 ] Eval epoch: 85
[ Thu Sep 29 16:54:16 2022 ] 	Mean test loss of 8 batches: 0.7075190767645836.
[ Thu Sep 29 16:54:16 2022 ] 	Top1: 84.27%
[ Thu Sep 29 16:54:16 2022 ] 	Top5: 98.71%
[ Thu Sep 29 16:54:16 2022 ] Training epoch: 86
[ Thu Sep 29 16:55:41 2022 ] 	Mean training loss: 0.0531. loss2: 0.0000. Mean training acc: 98.49%.
[ Thu Sep 29 16:55:41 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:55:41 2022 ] Eval epoch: 86
[ Thu Sep 29 16:55:46 2022 ] 	Mean test loss of 8 batches: 0.3701628493145108.
[ Thu Sep 29 16:55:46 2022 ] 	Top1: 90.73%
[ Thu Sep 29 16:55:46 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:55:46 2022 ] Training epoch: 87
[ Thu Sep 29 16:57:09 2022 ] 	Mean training loss: 0.0582. loss2: 0.0000. Mean training acc: 98.11%.
[ Thu Sep 29 16:57:09 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 16:57:09 2022 ] Eval epoch: 87
[ Thu Sep 29 16:57:15 2022 ] 	Mean test loss of 8 batches: 0.38133154436945915.
[ Thu Sep 29 16:57:15 2022 ] 	Top1: 88.36%
[ Thu Sep 29 16:57:15 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:57:15 2022 ] Training epoch: 88
[ Thu Sep 29 16:58:34 2022 ] 	Mean training loss: 0.0555. loss2: 0.0000. Mean training acc: 98.11%.
[ Thu Sep 29 16:58:34 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 16:58:34 2022 ] Eval epoch: 88
[ Thu Sep 29 16:58:40 2022 ] 	Mean test loss of 8 batches: 0.47490148432552814.
[ Thu Sep 29 16:58:40 2022 ] 	Top1: 87.28%
[ Thu Sep 29 16:58:40 2022 ] 	Top5: 99.57%
[ Thu Sep 29 16:58:40 2022 ] Training epoch: 89
[ Thu Sep 29 17:00:03 2022 ] 	Mean training loss: 0.0581. loss2: 0.0000. Mean training acc: 97.86%.
[ Thu Sep 29 17:00:03 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:00:03 2022 ] Eval epoch: 89
[ Thu Sep 29 17:00:08 2022 ] 	Mean test loss of 8 batches: 0.3038943074643612.
[ Thu Sep 29 17:00:08 2022 ] 	Top1: 91.81%
[ Thu Sep 29 17:00:08 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:00:08 2022 ] Training epoch: 90
[ Thu Sep 29 17:01:29 2022 ] 	Mean training loss: 0.0457. loss2: 0.0000. Mean training acc: 98.53%.
[ Thu Sep 29 17:01:29 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:01:29 2022 ] Eval epoch: 90
[ Thu Sep 29 17:01:36 2022 ] 	Mean test loss of 8 batches: 0.35055125690996647.
[ Thu Sep 29 17:01:36 2022 ] 	Top1: 89.87%
[ Thu Sep 29 17:01:36 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:01:36 2022 ] Training epoch: 91
[ Thu Sep 29 17:02:57 2022 ] 	Mean training loss: 0.0193. loss2: 0.0000. Mean training acc: 99.47%.
[ Thu Sep 29 17:02:57 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:02:57 2022 ] Eval epoch: 91
[ Thu Sep 29 17:03:04 2022 ] 	Mean test loss of 8 batches: 0.24511962453834713.
[ Thu Sep 29 17:03:04 2022 ] 	Top1: 93.10%
[ Thu Sep 29 17:03:04 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:03:04 2022 ] Training epoch: 92
[ Thu Sep 29 17:04:27 2022 ] 	Mean training loss: 0.0151. loss2: 0.0000. Mean training acc: 99.55%.
[ Thu Sep 29 17:04:27 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:04:27 2022 ] Eval epoch: 92
[ Thu Sep 29 17:04:34 2022 ] 	Mean test loss of 8 batches: 0.2722695479169488.
[ Thu Sep 29 17:04:34 2022 ] 	Top1: 92.24%
[ Thu Sep 29 17:04:34 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:04:34 2022 ] Training epoch: 93
[ Thu Sep 29 17:05:59 2022 ] 	Mean training loss: 0.0117. loss2: 0.0000. Mean training acc: 99.69%.
[ Thu Sep 29 17:05:59 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:05:59 2022 ] Eval epoch: 93
[ Thu Sep 29 17:06:05 2022 ] 	Mean test loss of 8 batches: 0.26175103336572647.
[ Thu Sep 29 17:06:05 2022 ] 	Top1: 92.67%
[ Thu Sep 29 17:06:05 2022 ] 	Top5: 99.78%
[ Thu Sep 29 17:06:05 2022 ] Training epoch: 94
[ Thu Sep 29 17:07:30 2022 ] 	Mean training loss: 0.0089. loss2: 0.0000. Mean training acc: 99.86%.
[ Thu Sep 29 17:07:30 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:07:30 2022 ] Eval epoch: 94
[ Thu Sep 29 17:07:36 2022 ] 	Mean test loss of 8 batches: 0.28306759521365166.
[ Thu Sep 29 17:07:36 2022 ] 	Top1: 91.59%
[ Thu Sep 29 17:07:36 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:07:36 2022 ] Training epoch: 95
[ Thu Sep 29 17:08:57 2022 ] 	Mean training loss: 0.0100. loss2: 0.0000. Mean training acc: 99.71%.
[ Thu Sep 29 17:08:57 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:08:57 2022 ] Eval epoch: 95
[ Thu Sep 29 17:09:02 2022 ] 	Mean test loss of 8 batches: 0.25897623412311077.
[ Thu Sep 29 17:09:02 2022 ] 	Top1: 91.16%
[ Thu Sep 29 17:09:02 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:09:02 2022 ] Training epoch: 96
[ Thu Sep 29 17:10:27 2022 ] 	Mean training loss: 0.0096. loss2: 0.0000. Mean training acc: 99.72%.
[ Thu Sep 29 17:10:27 2022 ] 	Time consumption: [Data]10%, [Network]88%
[ Thu Sep 29 17:10:27 2022 ] Eval epoch: 96
[ Thu Sep 29 17:10:34 2022 ] 	Mean test loss of 8 batches: 0.24985084496438503.
[ Thu Sep 29 17:10:34 2022 ] 	Top1: 92.46%
[ Thu Sep 29 17:10:34 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:10:34 2022 ] Training epoch: 97
[ Thu Sep 29 17:11:58 2022 ] 	Mean training loss: 0.0057. loss2: 0.0000. Mean training acc: 99.94%.
[ Thu Sep 29 17:11:58 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:11:58 2022 ] Eval epoch: 97
[ Thu Sep 29 17:12:04 2022 ] 	Mean test loss of 8 batches: 0.28095067385584116.
[ Thu Sep 29 17:12:04 2022 ] 	Top1: 90.95%
[ Thu Sep 29 17:12:04 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:12:04 2022 ] Training epoch: 98
[ Thu Sep 29 17:13:26 2022 ] 	Mean training loss: 0.0088. loss2: 0.0000. Mean training acc: 99.78%.
[ Thu Sep 29 17:13:26 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:13:27 2022 ] Eval epoch: 98
[ Thu Sep 29 17:13:32 2022 ] 	Mean test loss of 8 batches: 0.2743548061698675.
[ Thu Sep 29 17:13:32 2022 ] 	Top1: 90.52%
[ Thu Sep 29 17:13:32 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:13:32 2022 ] Training epoch: 99
[ Thu Sep 29 17:14:57 2022 ] 	Mean training loss: 0.0072. loss2: 0.0000. Mean training acc: 99.78%.
[ Thu Sep 29 17:14:57 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 17:14:57 2022 ] Eval epoch: 99
[ Thu Sep 29 17:15:05 2022 ] 	Mean test loss of 8 batches: 0.2848217021673918.
[ Thu Sep 29 17:15:05 2022 ] 	Top1: 91.59%
[ Thu Sep 29 17:15:05 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:15:05 2022 ] Training epoch: 100
[ Thu Sep 29 17:16:26 2022 ] 	Mean training loss: 0.0090. loss2: 0.0000. Mean training acc: 99.74%.
[ Thu Sep 29 17:16:26 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:16:26 2022 ] Eval epoch: 100
[ Thu Sep 29 17:16:33 2022 ] 	Mean test loss of 8 batches: 0.29497116431593895.
[ Thu Sep 29 17:16:33 2022 ] 	Top1: 91.59%
[ Thu Sep 29 17:16:33 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:16:33 2022 ] Training epoch: 101
[ Thu Sep 29 17:17:50 2022 ] 	Mean training loss: 0.0061. loss2: 0.0000. Mean training acc: 99.84%.
[ Thu Sep 29 17:17:50 2022 ] 	Time consumption: [Data]13%, [Network]86%
[ Thu Sep 29 17:17:50 2022 ] Eval epoch: 101
[ Thu Sep 29 17:17:57 2022 ] 	Mean test loss of 8 batches: 0.29384634271264076.
[ Thu Sep 29 17:17:57 2022 ] 	Top1: 91.38%
[ Thu Sep 29 17:17:57 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:17:57 2022 ] Training epoch: 102
[ Thu Sep 29 17:19:17 2022 ] 	Mean training loss: 0.0051. loss2: 0.0000. Mean training acc: 99.92%.
[ Thu Sep 29 17:19:17 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:19:17 2022 ] Eval epoch: 102
[ Thu Sep 29 17:19:23 2022 ] 	Mean test loss of 8 batches: 0.2868551295250654.
[ Thu Sep 29 17:19:23 2022 ] 	Top1: 90.52%
[ Thu Sep 29 17:19:23 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:19:23 2022 ] Training epoch: 103
[ Thu Sep 29 17:20:46 2022 ] 	Mean training loss: 0.0060. loss2: 0.0000. Mean training acc: 99.88%.
[ Thu Sep 29 17:20:46 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 17:20:46 2022 ] Eval epoch: 103
[ Thu Sep 29 17:20:52 2022 ] 	Mean test loss of 8 batches: 0.288738907314837.
[ Thu Sep 29 17:20:52 2022 ] 	Top1: 90.73%
[ Thu Sep 29 17:20:52 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:20:52 2022 ] Training epoch: 104
[ Thu Sep 29 17:22:13 2022 ] 	Mean training loss: 0.0048. loss2: 0.0000. Mean training acc: 99.92%.
[ Thu Sep 29 17:22:13 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:22:13 2022 ] Eval epoch: 104
[ Thu Sep 29 17:22:18 2022 ] 	Mean test loss of 8 batches: 0.27703535556793213.
[ Thu Sep 29 17:22:18 2022 ] 	Top1: 91.59%
[ Thu Sep 29 17:22:18 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:22:18 2022 ] Training epoch: 105
[ Thu Sep 29 17:23:41 2022 ] 	Mean training loss: 0.0062. loss2: 0.0000. Mean training acc: 99.88%.
[ Thu Sep 29 17:23:41 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 17:23:41 2022 ] Eval epoch: 105
[ Thu Sep 29 17:23:47 2022 ] 	Mean test loss of 8 batches: 0.26833763252943754.
[ Thu Sep 29 17:23:47 2022 ] 	Top1: 91.81%
[ Thu Sep 29 17:23:47 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:23:47 2022 ] Training epoch: 106
[ Thu Sep 29 17:25:11 2022 ] 	Mean training loss: 0.0064. loss2: 0.0000. Mean training acc: 99.92%.
[ Thu Sep 29 17:25:11 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:25:11 2022 ] Eval epoch: 106
[ Thu Sep 29 17:25:16 2022 ] 	Mean test loss of 8 batches: 0.290303573012352.
[ Thu Sep 29 17:25:16 2022 ] 	Top1: 90.52%
[ Thu Sep 29 17:25:16 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:25:16 2022 ] Training epoch: 107
[ Thu Sep 29 17:26:35 2022 ] 	Mean training loss: 0.0053. loss2: 0.0000. Mean training acc: 99.94%.
[ Thu Sep 29 17:26:35 2022 ] 	Time consumption: [Data]12%, [Network]86%
[ Thu Sep 29 17:26:35 2022 ] Eval epoch: 107
[ Thu Sep 29 17:26:40 2022 ] 	Mean test loss of 8 batches: 0.279906258918345.
[ Thu Sep 29 17:26:40 2022 ] 	Top1: 91.81%
[ Thu Sep 29 17:26:40 2022 ] 	Top5: 99.14%
[ Thu Sep 29 17:26:40 2022 ] Training epoch: 108
[ Thu Sep 29 17:28:01 2022 ] 	Mean training loss: 0.0057. loss2: 0.0000. Mean training acc: 99.84%.
[ Thu Sep 29 17:28:01 2022 ] 	Time consumption: [Data]11%, [Network]88%
[ Thu Sep 29 17:28:01 2022 ] Eval epoch: 108
[ Thu Sep 29 17:28:07 2022 ] 	Mean test loss of 8 batches: 0.26749052107334137.
[ Thu Sep 29 17:28:07 2022 ] 	Top1: 91.59%
[ Thu Sep 29 17:28:07 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:28:07 2022 ] Training epoch: 109
[ Thu Sep 29 17:29:29 2022 ] 	Mean training loss: 0.0078. loss2: 0.0000. Mean training acc: 99.78%.
[ Thu Sep 29 17:29:29 2022 ] 	Time consumption: [Data]12%, [Network]87%
[ Thu Sep 29 17:29:29 2022 ] Eval epoch: 109
[ Thu Sep 29 17:29:36 2022 ] 	Mean test loss of 8 batches: 0.2805910799652338.
[ Thu Sep 29 17:29:36 2022 ] 	Top1: 90.73%
[ Thu Sep 29 17:29:36 2022 ] 	Top5: 99.57%
[ Thu Sep 29 17:29:36 2022 ] Training epoch: 110
[ Thu Sep 29 17:31:03 2022 ] 	Mean training loss: 0.0070. loss2: 0.0000. Mean training acc: 99.82%.
[ Thu Sep 29 17:31:03 2022 ] 	Time consumption: [Data]11%, [Network]87%
[ Thu Sep 29 17:31:03 2022 ] Eval epoch: 110
[ Thu Sep 29 17:31:09 2022 ] 	Mean test loss of 8 batches: 0.29815180134028196.
[ Thu Sep 29 17:31:09 2022 ] 	Top1: 90.73%
[ Thu Sep 29 17:31:09 2022 ] 	Top5: 99.35%
[ Thu Sep 29 17:31:14 2022 ] Best accuracy: 0.9331896551724138
[ Thu Sep 29 17:31:14 2022 ] Epoch number: 43
[ Thu Sep 29 17:31:14 2022 ] Model name: work_dir/ucla/fc_joint2
[ Thu Sep 29 17:31:14 2022 ] Model total number of params: 2036242
[ Thu Sep 29 17:31:14 2022 ] Weight decay: 0.0001
[ Thu Sep 29 17:31:14 2022 ] Base LR: 0.05
[ Thu Sep 29 17:31:14 2022 ] Batch Size: 16
[ Thu Sep 29 17:31:14 2022 ] Test Batch Size: 64
[ Thu Sep 29 17:31:14 2022 ] seed: 1
