[ Tue Sep 27 12:56:01 2022 ] using warm up, epoch: 5
[ Tue Sep 27 12:58:13 2022 ] using warm up, epoch: 5
[ Tue Sep 27 12:59:07 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/cset/fc_joint', 'model_saved_name': 'work_dir/ntu120/cset/fc_joint/runs', 'config': 'config/nturgbd120-cross-set/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_ntu.Feeder', 'num_worker': 48, 'train_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'train', 'debug': False, 'random_choose': False, 'random_shift': False, 'random_move': False, 'window_size': 64, 'normalization': False, 'random_rot': True, 'p_interval': [0.5, 1], 'vel': False, 'bone': False}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': False, 'bone': False, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 120, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [4], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 64, 'test_batch_size': 64, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0004, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Tue Sep 27 12:59:07 2022 ] # Parameters: 2112877
[ Tue Sep 27 12:59:07 2022 ] Training epoch: 1
[ Tue Sep 27 13:03:25 2022 ] 	Mean training loss: 3.1987. loss2: 0.0000. Mean training acc: 22.60%.
[ Tue Sep 27 13:03:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:03:25 2022 ] Eval epoch: 1
[ Tue Sep 27 13:05:05 2022 ] 	Mean test loss of 930 batches: 2.2050916623043757.
[ Tue Sep 27 13:05:06 2022 ] 	Top1: 39.66%
[ Tue Sep 27 13:05:06 2022 ] 	Top5: 75.62%
[ Tue Sep 27 13:05:06 2022 ] Training epoch: 2
[ Tue Sep 27 13:09:21 2022 ] 	Mean training loss: 1.9489. loss2: 0.0000. Mean training acc: 45.30%.
[ Tue Sep 27 13:09:21 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:09:21 2022 ] Eval epoch: 2
[ Tue Sep 27 13:11:01 2022 ] 	Mean test loss of 930 batches: 1.6736809172297036.
[ Tue Sep 27 13:11:02 2022 ] 	Top1: 52.47%
[ Tue Sep 27 13:11:02 2022 ] 	Top5: 84.94%
[ Tue Sep 27 13:11:02 2022 ] Training epoch: 3
[ Tue Sep 27 13:15:18 2022 ] 	Mean training loss: 1.5681. loss2: 0.0000. Mean training acc: 54.60%.
[ Tue Sep 27 13:15:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:15:18 2022 ] Eval epoch: 3
[ Tue Sep 27 13:16:57 2022 ] 	Mean test loss of 930 batches: 1.5920417157552575.
[ Tue Sep 27 13:16:58 2022 ] 	Top1: 54.91%
[ Tue Sep 27 13:16:58 2022 ] 	Top5: 85.06%
[ Tue Sep 27 13:16:58 2022 ] Training epoch: 4
[ Tue Sep 27 13:21:14 2022 ] 	Mean training loss: 1.3685. loss2: 0.0000. Mean training acc: 59.90%.
[ Tue Sep 27 13:21:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:21:14 2022 ] Eval epoch: 4
[ Tue Sep 27 13:22:54 2022 ] 	Mean test loss of 930 batches: 1.4877265876339327.
[ Tue Sep 27 13:22:54 2022 ] 	Top1: 57.49%
[ Tue Sep 27 13:22:55 2022 ] 	Top5: 86.51%
[ Tue Sep 27 13:22:55 2022 ] Training epoch: 5
[ Tue Sep 27 13:27:10 2022 ] 	Mean training loss: 1.2480. loss2: 0.0000. Mean training acc: 63.06%.
[ Tue Sep 27 13:27:10 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:27:10 2022 ] Eval epoch: 5
[ Tue Sep 27 13:28:50 2022 ] 	Mean test loss of 930 batches: 1.1886030729098986.
[ Tue Sep 27 13:28:51 2022 ] 	Top1: 66.12%
[ Tue Sep 27 13:28:51 2022 ] 	Top5: 90.54%
[ Tue Sep 27 13:28:51 2022 ] Training epoch: 6
[ Tue Sep 27 13:33:07 2022 ] 	Mean training loss: 1.1020. loss2: 0.0000. Mean training acc: 67.03%.
[ Tue Sep 27 13:33:07 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:33:07 2022 ] Eval epoch: 6
[ Tue Sep 27 13:34:47 2022 ] 	Mean test loss of 930 batches: 1.141483810223559.
[ Tue Sep 27 13:34:47 2022 ] 	Top1: 65.80%
[ Tue Sep 27 13:34:48 2022 ] 	Top5: 91.44%
[ Tue Sep 27 13:34:48 2022 ] Training epoch: 7
[ Tue Sep 27 13:39:03 2022 ] 	Mean training loss: 1.0201. loss2: 0.0000. Mean training acc: 69.39%.
[ Tue Sep 27 13:39:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:39:03 2022 ] Eval epoch: 7
[ Tue Sep 27 13:40:43 2022 ] 	Mean test loss of 930 batches: 1.2920265986714312.
[ Tue Sep 27 13:40:44 2022 ] 	Top1: 62.96%
[ Tue Sep 27 13:40:44 2022 ] 	Top5: 89.88%
[ Tue Sep 27 13:40:44 2022 ] Training epoch: 8
[ Tue Sep 27 13:45:00 2022 ] 	Mean training loss: 0.9593. loss2: 0.0000. Mean training acc: 70.95%.
[ Tue Sep 27 13:45:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:45:00 2022 ] Eval epoch: 8
[ Tue Sep 27 13:46:40 2022 ] 	Mean test loss of 930 batches: 1.3309093478225893.
[ Tue Sep 27 13:46:40 2022 ] 	Top1: 62.66%
[ Tue Sep 27 13:46:41 2022 ] 	Top5: 89.57%
[ Tue Sep 27 13:46:41 2022 ] Training epoch: 9
[ Tue Sep 27 13:50:57 2022 ] 	Mean training loss: 0.9186. loss2: 0.0000. Mean training acc: 72.15%.
[ Tue Sep 27 13:50:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:50:57 2022 ] Eval epoch: 9
[ Tue Sep 27 13:52:37 2022 ] 	Mean test loss of 930 batches: 1.095420392642739.
[ Tue Sep 27 13:52:37 2022 ] 	Top1: 68.61%
[ Tue Sep 27 13:52:38 2022 ] 	Top5: 91.75%
[ Tue Sep 27 13:52:38 2022 ] Training epoch: 10
[ Tue Sep 27 13:56:54 2022 ] 	Mean training loss: 0.8874. loss2: 0.0000. Mean training acc: 73.11%.
[ Tue Sep 27 13:56:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 13:56:54 2022 ] Eval epoch: 10
[ Tue Sep 27 13:58:34 2022 ] 	Mean test loss of 930 batches: 1.0699779037185895.
[ Tue Sep 27 13:58:35 2022 ] 	Top1: 68.77%
[ Tue Sep 27 13:58:35 2022 ] 	Top5: 92.40%
[ Tue Sep 27 13:58:35 2022 ] Training epoch: 11
[ Tue Sep 27 14:02:51 2022 ] 	Mean training loss: 0.8618. loss2: 0.0000. Mean training acc: 73.81%.
[ Tue Sep 27 14:02:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:02:51 2022 ] Eval epoch: 11
[ Tue Sep 27 14:04:31 2022 ] 	Mean test loss of 930 batches: 1.1574018983751215.
[ Tue Sep 27 14:04:32 2022 ] 	Top1: 67.51%
[ Tue Sep 27 14:04:32 2022 ] 	Top5: 91.37%
[ Tue Sep 27 14:04:32 2022 ] Training epoch: 12
[ Tue Sep 27 14:08:48 2022 ] 	Mean training loss: 0.8362. loss2: 0.0000. Mean training acc: 74.49%.
[ Tue Sep 27 14:08:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:08:48 2022 ] Eval epoch: 12
[ Tue Sep 27 14:10:28 2022 ] 	Mean test loss of 930 batches: 1.2477598188384886.
[ Tue Sep 27 14:10:29 2022 ] 	Top1: 64.76%
[ Tue Sep 27 14:10:29 2022 ] 	Top5: 90.30%
[ Tue Sep 27 14:10:29 2022 ] Training epoch: 13
[ Tue Sep 27 14:14:45 2022 ] 	Mean training loss: 0.8203. loss2: 0.0000. Mean training acc: 74.85%.
[ Tue Sep 27 14:14:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:14:45 2022 ] Eval epoch: 13
[ Tue Sep 27 14:16:25 2022 ] 	Mean test loss of 930 batches: 0.9414759600675234.
[ Tue Sep 27 14:16:26 2022 ] 	Top1: 72.21%
[ Tue Sep 27 14:16:26 2022 ] 	Top5: 93.61%
[ Tue Sep 27 14:16:26 2022 ] Training epoch: 14
[ Tue Sep 27 14:20:42 2022 ] 	Mean training loss: 0.8043. loss2: 0.0000. Mean training acc: 75.49%.
[ Tue Sep 27 14:20:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:20:42 2022 ] Eval epoch: 14
[ Tue Sep 27 14:22:22 2022 ] 	Mean test loss of 930 batches: 0.9528448041728748.
[ Tue Sep 27 14:22:23 2022 ] 	Top1: 72.55%
[ Tue Sep 27 14:22:23 2022 ] 	Top5: 93.59%
[ Tue Sep 27 14:22:23 2022 ] Training epoch: 15
[ Tue Sep 27 14:26:39 2022 ] 	Mean training loss: 0.7835. loss2: 0.0000. Mean training acc: 75.97%.
[ Tue Sep 27 14:26:39 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:26:39 2022 ] Eval epoch: 15
[ Tue Sep 27 14:28:19 2022 ] 	Mean test loss of 930 batches: 0.9808796811808822.
[ Tue Sep 27 14:28:19 2022 ] 	Top1: 71.06%
[ Tue Sep 27 14:28:20 2022 ] 	Top5: 93.44%
[ Tue Sep 27 14:28:20 2022 ] Training epoch: 16
[ Tue Sep 27 14:32:36 2022 ] 	Mean training loss: 0.7777. loss2: 0.0000. Mean training acc: 76.25%.
[ Tue Sep 27 14:32:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:32:36 2022 ] Eval epoch: 16
[ Tue Sep 27 14:34:16 2022 ] 	Mean test loss of 930 batches: 1.0922433807644794.
[ Tue Sep 27 14:34:17 2022 ] 	Top1: 68.68%
[ Tue Sep 27 14:34:17 2022 ] 	Top5: 92.26%
[ Tue Sep 27 14:34:17 2022 ] Training epoch: 17
[ Tue Sep 27 14:38:33 2022 ] 	Mean training loss: 0.7636. loss2: 0.0000. Mean training acc: 76.51%.
[ Tue Sep 27 14:38:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:38:33 2022 ] Eval epoch: 17
[ Tue Sep 27 14:40:13 2022 ] 	Mean test loss of 930 batches: 0.9764376031134718.
[ Tue Sep 27 14:40:13 2022 ] 	Top1: 71.36%
[ Tue Sep 27 14:40:14 2022 ] 	Top5: 93.59%
[ Tue Sep 27 14:40:14 2022 ] Training epoch: 18
[ Tue Sep 27 14:44:30 2022 ] 	Mean training loss: 0.7650. loss2: 0.0000. Mean training acc: 76.53%.
[ Tue Sep 27 14:44:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:44:30 2022 ] Eval epoch: 18
[ Tue Sep 27 14:46:10 2022 ] 	Mean test loss of 930 batches: 0.9500457725377494.
[ Tue Sep 27 14:46:11 2022 ] 	Top1: 72.47%
[ Tue Sep 27 14:46:11 2022 ] 	Top5: 93.39%
[ Tue Sep 27 14:46:11 2022 ] Training epoch: 19
[ Tue Sep 27 14:50:28 2022 ] 	Mean training loss: 0.7475. loss2: 0.0000. Mean training acc: 76.92%.
[ Tue Sep 27 14:50:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 14:50:28 2022 ] Eval epoch: 19
[ Tue Sep 27 14:52:08 2022 ] 	Mean test loss of 930 batches: 0.9894704018228797.
[ Tue Sep 27 14:52:08 2022 ] 	Top1: 71.03%
[ Tue Sep 27 14:52:09 2022 ] 	Top5: 93.07%
[ Tue Sep 27 14:52:09 2022 ] Training epoch: 20
[ Tue Sep 27 14:56:25 2022 ] 	Mean training loss: 0.7337. loss2: 0.0000. Mean training acc: 77.63%.
[ Tue Sep 27 14:56:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:56:25 2022 ] Eval epoch: 20
[ Tue Sep 27 14:58:05 2022 ] 	Mean test loss of 930 batches: 0.9764083025596475.
[ Tue Sep 27 14:58:05 2022 ] 	Top1: 71.75%
[ Tue Sep 27 14:58:06 2022 ] 	Top5: 93.96%
[ Tue Sep 27 14:58:06 2022 ] Training epoch: 21
[ Tue Sep 27 15:02:22 2022 ] 	Mean training loss: 0.7375. loss2: 0.0000. Mean training acc: 77.45%.
[ Tue Sep 27 15:02:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:02:22 2022 ] Eval epoch: 21
[ Tue Sep 27 15:04:02 2022 ] 	Mean test loss of 930 batches: 0.887739527770268.
[ Tue Sep 27 15:04:02 2022 ] 	Top1: 74.28%
[ Tue Sep 27 15:04:03 2022 ] 	Top5: 94.14%
[ Tue Sep 27 15:04:03 2022 ] Training epoch: 22
[ Tue Sep 27 15:08:19 2022 ] 	Mean training loss: 0.7316. loss2: 0.0000. Mean training acc: 77.27%.
[ Tue Sep 27 15:08:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:08:19 2022 ] Eval epoch: 22
[ Tue Sep 27 15:09:59 2022 ] 	Mean test loss of 930 batches: 0.9340543407906768.
[ Tue Sep 27 15:10:00 2022 ] 	Top1: 72.52%
[ Tue Sep 27 15:10:00 2022 ] 	Top5: 93.78%
[ Tue Sep 27 15:10:01 2022 ] Training epoch: 23
[ Tue Sep 27 15:14:16 2022 ] 	Mean training loss: 0.7253. loss2: 0.0000. Mean training acc: 77.72%.
[ Tue Sep 27 15:14:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:14:16 2022 ] Eval epoch: 23
[ Tue Sep 27 15:15:56 2022 ] 	Mean test loss of 930 batches: 0.8967365066691112.
[ Tue Sep 27 15:15:57 2022 ] 	Top1: 73.54%
[ Tue Sep 27 15:15:57 2022 ] 	Top5: 93.77%
[ Tue Sep 27 15:15:57 2022 ] Training epoch: 24
[ Tue Sep 27 15:20:13 2022 ] 	Mean training loss: 0.7160. loss2: 0.0000. Mean training acc: 78.00%.
[ Tue Sep 27 15:20:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:20:13 2022 ] Eval epoch: 24
[ Tue Sep 27 15:21:53 2022 ] 	Mean test loss of 930 batches: 0.9601853357527845.
[ Tue Sep 27 15:21:54 2022 ] 	Top1: 72.17%
[ Tue Sep 27 15:21:54 2022 ] 	Top5: 93.62%
[ Tue Sep 27 15:21:54 2022 ] Training epoch: 25
[ Tue Sep 27 15:26:10 2022 ] 	Mean training loss: 0.7072. loss2: 0.0000. Mean training acc: 78.12%.
[ Tue Sep 27 15:26:10 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:26:10 2022 ] Eval epoch: 25
[ Tue Sep 27 15:27:50 2022 ] 	Mean test loss of 930 batches: 1.0264446449215694.
[ Tue Sep 27 15:27:50 2022 ] 	Top1: 71.02%
[ Tue Sep 27 15:27:51 2022 ] 	Top5: 92.76%
[ Tue Sep 27 15:27:51 2022 ] Training epoch: 26
[ Tue Sep 27 15:32:07 2022 ] 	Mean training loss: 0.7096. loss2: 0.0000. Mean training acc: 78.12%.
[ Tue Sep 27 15:32:07 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:32:07 2022 ] Eval epoch: 26
[ Tue Sep 27 15:33:47 2022 ] 	Mean test loss of 930 batches: 1.068091477822232.
[ Tue Sep 27 15:33:47 2022 ] 	Top1: 69.57%
[ Tue Sep 27 15:33:48 2022 ] 	Top5: 91.73%
[ Tue Sep 27 15:33:48 2022 ] Training epoch: 27
[ Tue Sep 27 15:38:05 2022 ] 	Mean training loss: 0.7054. loss2: 0.0000. Mean training acc: 78.35%.
[ Tue Sep 27 15:38:05 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:38:05 2022 ] Eval epoch: 27
[ Tue Sep 27 15:39:45 2022 ] 	Mean test loss of 930 batches: 0.9724239174717216.
[ Tue Sep 27 15:39:45 2022 ] 	Top1: 71.59%
[ Tue Sep 27 15:39:46 2022 ] 	Top5: 93.24%
[ Tue Sep 27 15:39:46 2022 ] Training epoch: 28
[ Tue Sep 27 15:44:02 2022 ] 	Mean training loss: 0.7075. loss2: 0.0000. Mean training acc: 78.16%.
[ Tue Sep 27 15:44:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:44:02 2022 ] Eval epoch: 28
[ Tue Sep 27 15:45:42 2022 ] 	Mean test loss of 930 batches: 1.684771430300128.
[ Tue Sep 27 15:45:42 2022 ] 	Top1: 55.63%
[ Tue Sep 27 15:45:43 2022 ] 	Top5: 86.37%
[ Tue Sep 27 15:45:43 2022 ] Training epoch: 29
[ Tue Sep 27 15:49:59 2022 ] 	Mean training loss: 0.7007. loss2: 0.0000. Mean training acc: 78.26%.
[ Tue Sep 27 15:49:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:49:59 2022 ] Eval epoch: 29
[ Tue Sep 27 15:51:39 2022 ] 	Mean test loss of 930 batches: 0.8703708208216134.
[ Tue Sep 27 15:51:40 2022 ] 	Top1: 74.90%
[ Tue Sep 27 15:51:40 2022 ] 	Top5: 94.45%
[ Tue Sep 27 15:51:40 2022 ] Training epoch: 30
[ Tue Sep 27 15:55:57 2022 ] 	Mean training loss: 0.7002. loss2: 0.0000. Mean training acc: 78.31%.
[ Tue Sep 27 15:55:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:55:57 2022 ] Eval epoch: 30
[ Tue Sep 27 15:57:37 2022 ] 	Mean test loss of 930 batches: 0.9913483050241265.
[ Tue Sep 27 15:57:37 2022 ] 	Top1: 71.43%
[ Tue Sep 27 15:57:38 2022 ] 	Top5: 93.26%
[ Tue Sep 27 15:57:38 2022 ] Training epoch: 31
[ Tue Sep 27 16:01:54 2022 ] 	Mean training loss: 0.6966. loss2: 0.0000. Mean training acc: 78.38%.
[ Tue Sep 27 16:01:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:01:54 2022 ] Eval epoch: 31
[ Tue Sep 27 16:03:34 2022 ] 	Mean test loss of 930 batches: 0.8932905660842054.
[ Tue Sep 27 16:03:35 2022 ] 	Top1: 73.81%
[ Tue Sep 27 16:03:35 2022 ] 	Top5: 94.02%
[ Tue Sep 27 16:03:36 2022 ] Training epoch: 32
[ Tue Sep 27 16:07:51 2022 ] 	Mean training loss: 0.6952. loss2: 0.0000. Mean training acc: 78.55%.
[ Tue Sep 27 16:07:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:07:51 2022 ] Eval epoch: 32
[ Tue Sep 27 16:09:31 2022 ] 	Mean test loss of 930 batches: 0.8845477375292009.
[ Tue Sep 27 16:09:32 2022 ] 	Top1: 73.87%
[ Tue Sep 27 16:09:32 2022 ] 	Top5: 94.02%
[ Tue Sep 27 16:09:32 2022 ] Training epoch: 33
[ Tue Sep 27 16:13:48 2022 ] 	Mean training loss: 0.6891. loss2: 0.0000. Mean training acc: 78.80%.
[ Tue Sep 27 16:13:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:13:48 2022 ] Eval epoch: 33
[ Tue Sep 27 16:15:28 2022 ] 	Mean test loss of 930 batches: 0.8461076525911209.
[ Tue Sep 27 16:15:29 2022 ] 	Top1: 75.31%
[ Tue Sep 27 16:15:29 2022 ] 	Top5: 94.15%
[ Tue Sep 27 16:15:29 2022 ] Training epoch: 34
[ Tue Sep 27 16:19:45 2022 ] 	Mean training loss: 0.6909. loss2: 0.0000. Mean training acc: 78.60%.
[ Tue Sep 27 16:19:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:19:45 2022 ] Eval epoch: 34
[ Tue Sep 27 16:21:25 2022 ] 	Mean test loss of 930 batches: 0.9677743763372463.
[ Tue Sep 27 16:21:26 2022 ] 	Top1: 72.13%
[ Tue Sep 27 16:21:26 2022 ] 	Top5: 93.38%
[ Tue Sep 27 16:21:26 2022 ] Training epoch: 35
[ Tue Sep 27 16:25:42 2022 ] 	Mean training loss: 0.6895. loss2: 0.0000. Mean training acc: 78.75%.
[ Tue Sep 27 16:25:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:25:42 2022 ] Eval epoch: 35
[ Tue Sep 27 16:27:22 2022 ] 	Mean test loss of 930 batches: 0.8630113113791712.
[ Tue Sep 27 16:27:22 2022 ] 	Top1: 74.74%
[ Tue Sep 27 16:27:23 2022 ] 	Top5: 94.14%
[ Tue Sep 27 16:27:23 2022 ] Training epoch: 36
[ Tue Sep 27 16:31:38 2022 ] 	Mean training loss: 0.6812. loss2: 0.0000. Mean training acc: 78.89%.
[ Tue Sep 27 16:31:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:31:38 2022 ] Eval epoch: 36
[ Tue Sep 27 16:33:18 2022 ] 	Mean test loss of 930 batches: 0.9092730290787194.
[ Tue Sep 27 16:33:19 2022 ] 	Top1: 73.25%
[ Tue Sep 27 16:33:19 2022 ] 	Top5: 93.98%
[ Tue Sep 27 16:33:19 2022 ] Training epoch: 37
[ Tue Sep 27 16:37:35 2022 ] 	Mean training loss: 0.6834. loss2: 0.0000. Mean training acc: 79.01%.
[ Tue Sep 27 16:37:35 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:37:35 2022 ] Eval epoch: 37
[ Tue Sep 27 16:39:15 2022 ] 	Mean test loss of 930 batches: 1.0795137679705056.
[ Tue Sep 27 16:39:16 2022 ] 	Top1: 68.70%
[ Tue Sep 27 16:39:16 2022 ] 	Top5: 91.92%
[ Tue Sep 27 16:39:16 2022 ] Training epoch: 38
[ Tue Sep 27 16:43:32 2022 ] 	Mean training loss: 0.6803. loss2: 0.0000. Mean training acc: 78.94%.
[ Tue Sep 27 16:43:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:43:32 2022 ] Eval epoch: 38
[ Tue Sep 27 16:45:12 2022 ] 	Mean test loss of 930 batches: 0.887472803634341.
[ Tue Sep 27 16:45:12 2022 ] 	Top1: 73.81%
[ Tue Sep 27 16:45:13 2022 ] 	Top5: 94.07%
[ Tue Sep 27 16:45:13 2022 ] Training epoch: 39
[ Tue Sep 27 16:49:29 2022 ] 	Mean training loss: 0.6736. loss2: 0.0000. Mean training acc: 79.36%.
[ Tue Sep 27 16:49:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:49:29 2022 ] Eval epoch: 39
[ Tue Sep 27 16:51:09 2022 ] 	Mean test loss of 930 batches: 1.0288158816996442.
[ Tue Sep 27 16:51:10 2022 ] 	Top1: 71.09%
[ Tue Sep 27 16:51:10 2022 ] 	Top5: 92.61%
[ Tue Sep 27 16:51:10 2022 ] Training epoch: 40
[ Tue Sep 27 16:55:25 2022 ] 	Mean training loss: 0.6806. loss2: 0.0000. Mean training acc: 79.09%.
[ Tue Sep 27 16:55:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:55:26 2022 ] Eval epoch: 40
[ Tue Sep 27 16:57:06 2022 ] 	Mean test loss of 930 batches: 0.8108796718460257.
[ Tue Sep 27 16:57:06 2022 ] 	Top1: 76.02%
[ Tue Sep 27 16:57:07 2022 ] 	Top5: 94.92%
[ Tue Sep 27 16:57:07 2022 ] Training epoch: 41
[ Tue Sep 27 17:01:22 2022 ] 	Mean training loss: 0.6669. loss2: 0.0000. Mean training acc: 79.37%.
[ Tue Sep 27 17:01:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:01:22 2022 ] Eval epoch: 41
[ Tue Sep 27 17:03:02 2022 ] 	Mean test loss of 930 batches: 0.8384495129027675.
[ Tue Sep 27 17:03:03 2022 ] 	Top1: 75.27%
[ Tue Sep 27 17:03:03 2022 ] 	Top5: 94.67%
[ Tue Sep 27 17:03:03 2022 ] Training epoch: 42
[ Tue Sep 27 17:07:19 2022 ] 	Mean training loss: 0.6812. loss2: 0.0000. Mean training acc: 78.82%.
[ Tue Sep 27 17:07:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:07:19 2022 ] Eval epoch: 42
[ Tue Sep 27 17:08:59 2022 ] 	Mean test loss of 930 batches: 1.4792369449010458.
[ Tue Sep 27 17:09:00 2022 ] 	Top1: 62.88%
[ Tue Sep 27 17:09:00 2022 ] 	Top5: 88.10%
[ Tue Sep 27 17:09:00 2022 ] Training epoch: 43
[ Tue Sep 27 17:13:16 2022 ] 	Mean training loss: 0.6726. loss2: 0.0000. Mean training acc: 79.31%.
[ Tue Sep 27 17:13:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:13:16 2022 ] Eval epoch: 43
[ Tue Sep 27 17:14:56 2022 ] 	Mean test loss of 930 batches: 0.8373460866590982.
[ Tue Sep 27 17:14:56 2022 ] 	Top1: 75.27%
[ Tue Sep 27 17:14:57 2022 ] 	Top5: 94.58%
[ Tue Sep 27 17:14:57 2022 ] Training epoch: 44
[ Tue Sep 27 17:19:12 2022 ] 	Mean training loss: 0.6728. loss2: 0.0000. Mean training acc: 79.28%.
[ Tue Sep 27 17:19:12 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:19:12 2022 ] Eval epoch: 44
[ Tue Sep 27 17:20:53 2022 ] 	Mean test loss of 930 batches: 0.8735164933948106.
[ Tue Sep 27 17:20:53 2022 ] 	Top1: 74.90%
[ Tue Sep 27 17:20:54 2022 ] 	Top5: 94.06%
[ Tue Sep 27 17:20:54 2022 ] Training epoch: 45
[ Tue Sep 27 17:25:09 2022 ] 	Mean training loss: 0.6707. loss2: 0.0000. Mean training acc: 79.15%.
[ Tue Sep 27 17:25:09 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:25:09 2022 ] Eval epoch: 45
[ Tue Sep 27 17:26:49 2022 ] 	Mean test loss of 930 batches: 0.8125173644352984.
[ Tue Sep 27 17:26:49 2022 ] 	Top1: 76.26%
[ Tue Sep 27 17:26:50 2022 ] 	Top5: 94.60%
[ Tue Sep 27 17:26:50 2022 ] Training epoch: 46
[ Tue Sep 27 17:31:05 2022 ] 	Mean training loss: 0.6708. loss2: 0.0000. Mean training acc: 79.32%.
[ Tue Sep 27 17:31:05 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:31:05 2022 ] Eval epoch: 46
[ Tue Sep 27 17:32:45 2022 ] 	Mean test loss of 930 batches: 0.9802129010679901.
[ Tue Sep 27 17:32:45 2022 ] 	Top1: 72.03%
[ Tue Sep 27 17:32:46 2022 ] 	Top5: 93.29%
[ Tue Sep 27 17:32:46 2022 ] Training epoch: 47
[ Tue Sep 27 17:37:01 2022 ] 	Mean training loss: 0.6712. loss2: 0.0000. Mean training acc: 79.27%.
[ Tue Sep 27 17:37:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:37:01 2022 ] Eval epoch: 47
[ Tue Sep 27 17:38:41 2022 ] 	Mean test loss of 930 batches: 1.0638236614004257.
[ Tue Sep 27 17:38:42 2022 ] 	Top1: 70.55%
[ Tue Sep 27 17:38:42 2022 ] 	Top5: 92.17%
[ Tue Sep 27 17:38:42 2022 ] Training epoch: 48
[ Tue Sep 27 17:42:57 2022 ] 	Mean training loss: 0.6619. loss2: 0.0000. Mean training acc: 79.62%.
[ Tue Sep 27 17:42:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:42:57 2022 ] Eval epoch: 48
[ Tue Sep 27 17:44:37 2022 ] 	Mean test loss of 930 batches: 0.8168115094784767.
[ Tue Sep 27 17:44:38 2022 ] 	Top1: 76.26%
[ Tue Sep 27 17:44:38 2022 ] 	Top5: 94.29%
[ Tue Sep 27 17:44:39 2022 ] Training epoch: 49
[ Tue Sep 27 17:48:54 2022 ] 	Mean training loss: 0.6619. loss2: 0.0000. Mean training acc: 79.59%.
[ Tue Sep 27 17:48:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:48:54 2022 ] Eval epoch: 49
[ Tue Sep 27 17:50:34 2022 ] 	Mean test loss of 930 batches: 0.9647678066004989.
[ Tue Sep 27 17:50:35 2022 ] 	Top1: 72.09%
[ Tue Sep 27 17:50:35 2022 ] 	Top5: 94.00%
[ Tue Sep 27 17:50:35 2022 ] Training epoch: 50
[ Tue Sep 27 17:54:51 2022 ] 	Mean training loss: 0.6690. loss2: 0.0000. Mean training acc: 79.25%.
[ Tue Sep 27 17:54:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:54:51 2022 ] Eval epoch: 50
[ Tue Sep 27 17:56:31 2022 ] 	Mean test loss of 930 batches: 0.9910725622087396.
[ Tue Sep 27 17:56:31 2022 ] 	Top1: 71.49%
[ Tue Sep 27 17:56:32 2022 ] 	Top5: 93.37%
[ Tue Sep 27 17:56:32 2022 ] Training epoch: 51
[ Tue Sep 27 18:00:47 2022 ] 	Mean training loss: 0.6622. loss2: 0.0000. Mean training acc: 79.46%.
[ Tue Sep 27 18:00:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 18:00:47 2022 ] Eval epoch: 51
[ Tue Sep 27 18:02:27 2022 ] 	Mean test loss of 930 batches: 0.8306867533473559.
[ Tue Sep 27 18:02:28 2022 ] 	Top1: 75.48%
[ Tue Sep 27 18:02:28 2022 ] 	Top5: 94.87%
[ Tue Sep 27 18:02:28 2022 ] Training epoch: 52
[ Tue Sep 27 18:06:43 2022 ] 	Mean training loss: 0.6657. loss2: 0.0000. Mean training acc: 79.46%.
[ Tue Sep 27 18:06:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:06:44 2022 ] Eval epoch: 52
[ Tue Sep 27 18:08:24 2022 ] 	Mean test loss of 930 batches: 1.235007451907281.
[ Tue Sep 27 18:08:24 2022 ] 	Top1: 67.42%
[ Tue Sep 27 18:08:25 2022 ] 	Top5: 90.13%
[ Tue Sep 27 18:08:25 2022 ] Training epoch: 53
[ Tue Sep 27 18:12:40 2022 ] 	Mean training loss: 0.6604. loss2: 0.0000. Mean training acc: 79.68%.
[ Tue Sep 27 18:12:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:12:40 2022 ] Eval epoch: 53
[ Tue Sep 27 18:14:20 2022 ] 	Mean test loss of 930 batches: 0.8340182209527621.
[ Tue Sep 27 18:14:21 2022 ] 	Top1: 75.75%
[ Tue Sep 27 18:14:21 2022 ] 	Top5: 94.42%
[ Tue Sep 27 18:14:21 2022 ] Training epoch: 54
[ Tue Sep 27 18:18:36 2022 ] 	Mean training loss: 0.6593. loss2: 0.0000. Mean training acc: 79.35%.
[ Tue Sep 27 18:18:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:18:37 2022 ] Eval epoch: 54
[ Tue Sep 27 18:20:17 2022 ] 	Mean test loss of 930 batches: 0.8342682053645452.
[ Tue Sep 27 18:20:17 2022 ] 	Top1: 75.58%
[ Tue Sep 27 18:20:18 2022 ] 	Top5: 94.45%
[ Tue Sep 27 18:20:18 2022 ] Training epoch: 55
[ Tue Sep 27 18:24:33 2022 ] 	Mean training loss: 0.6561. loss2: 0.0000. Mean training acc: 79.83%.
[ Tue Sep 27 18:24:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:24:33 2022 ] Eval epoch: 55
[ Tue Sep 27 18:26:13 2022 ] 	Mean test loss of 930 batches: 1.1462989863529.
[ Tue Sep 27 18:26:14 2022 ] 	Top1: 68.72%
[ Tue Sep 27 18:26:14 2022 ] 	Top5: 90.70%
[ Tue Sep 27 18:26:14 2022 ] Training epoch: 56
[ Tue Sep 27 18:30:30 2022 ] 	Mean training loss: 0.6621. loss2: 0.0000. Mean training acc: 79.53%.
[ Tue Sep 27 18:30:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:30:30 2022 ] Eval epoch: 56
[ Tue Sep 27 18:32:10 2022 ] 	Mean test loss of 930 batches: 0.8685700618451642.
[ Tue Sep 27 18:32:10 2022 ] 	Top1: 75.03%
[ Tue Sep 27 18:32:11 2022 ] 	Top5: 94.12%
[ Tue Sep 27 18:32:11 2022 ] Training epoch: 57
[ Tue Sep 27 18:36:26 2022 ] 	Mean training loss: 0.6565. loss2: 0.0000. Mean training acc: 79.78%.
[ Tue Sep 27 18:36:26 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:36:27 2022 ] Eval epoch: 57
[ Tue Sep 27 18:38:07 2022 ] 	Mean test loss of 930 batches: 0.9497182529459718.
[ Tue Sep 27 18:38:07 2022 ] 	Top1: 72.46%
[ Tue Sep 27 18:38:08 2022 ] 	Top5: 93.19%
[ Tue Sep 27 18:38:08 2022 ] Training epoch: 58
[ Tue Sep 27 18:42:23 2022 ] 	Mean training loss: 0.6609. loss2: 0.0000. Mean training acc: 79.58%.
[ Tue Sep 27 18:42:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:42:23 2022 ] Eval epoch: 58
[ Tue Sep 27 18:44:03 2022 ] 	Mean test loss of 930 batches: 0.9228607732442118.
[ Tue Sep 27 18:44:03 2022 ] 	Top1: 73.51%
[ Tue Sep 27 18:44:04 2022 ] 	Top5: 93.48%
[ Tue Sep 27 18:44:04 2022 ] Training epoch: 59
[ Tue Sep 27 18:48:20 2022 ] 	Mean training loss: 0.6595. loss2: 0.0000. Mean training acc: 79.64%.
[ Tue Sep 27 18:48:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:48:20 2022 ] Eval epoch: 59
[ Tue Sep 27 18:50:00 2022 ] 	Mean test loss of 930 batches: 0.8554304069729262.
[ Tue Sep 27 18:50:01 2022 ] 	Top1: 75.16%
[ Tue Sep 27 18:50:01 2022 ] 	Top5: 94.32%
[ Tue Sep 27 18:50:01 2022 ] Training epoch: 60
[ Tue Sep 27 18:54:17 2022 ] 	Mean training loss: 0.6606. loss2: 0.0000. Mean training acc: 79.54%.
[ Tue Sep 27 18:54:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:54:17 2022 ] Eval epoch: 60
[ Tue Sep 27 18:55:57 2022 ] 	Mean test loss of 930 batches: 1.0937608616967356.
[ Tue Sep 27 18:55:58 2022 ] 	Top1: 70.30%
[ Tue Sep 27 18:55:58 2022 ] 	Top5: 92.33%
[ Tue Sep 27 18:55:58 2022 ] Training epoch: 61
[ Tue Sep 27 19:00:14 2022 ] 	Mean training loss: 0.6542. loss2: 0.0000. Mean training acc: 79.65%.
[ Tue Sep 27 19:00:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:00:14 2022 ] Eval epoch: 61
[ Tue Sep 27 19:01:54 2022 ] 	Mean test loss of 930 batches: 0.8830512125806141.
[ Tue Sep 27 19:01:55 2022 ] 	Top1: 74.25%
[ Tue Sep 27 19:01:55 2022 ] 	Top5: 94.09%
[ Tue Sep 27 19:01:55 2022 ] Training epoch: 62
[ Tue Sep 27 19:06:11 2022 ] 	Mean training loss: 0.6496. loss2: 0.0000. Mean training acc: 79.67%.
[ Tue Sep 27 19:06:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:06:11 2022 ] Eval epoch: 62
[ Tue Sep 27 19:07:51 2022 ] 	Mean test loss of 930 batches: 0.8650950727924224.
[ Tue Sep 27 19:07:52 2022 ] 	Top1: 74.61%
[ Tue Sep 27 19:07:53 2022 ] 	Top5: 94.48%
[ Tue Sep 27 19:07:53 2022 ] Training epoch: 63
[ Tue Sep 27 19:12:08 2022 ] 	Mean training loss: 0.6601. loss2: 0.0000. Mean training acc: 79.56%.
[ Tue Sep 27 19:12:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:12:09 2022 ] Eval epoch: 63
[ Tue Sep 27 19:13:49 2022 ] 	Mean test loss of 930 batches: 0.9455614529950644.
[ Tue Sep 27 19:13:49 2022 ] 	Top1: 72.65%
[ Tue Sep 27 19:13:50 2022 ] 	Top5: 93.01%
[ Tue Sep 27 19:13:50 2022 ] Training epoch: 64
[ Tue Sep 27 19:18:06 2022 ] 	Mean training loss: 0.6553. loss2: 0.0000. Mean training acc: 79.75%.
[ Tue Sep 27 19:18:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:18:06 2022 ] Eval epoch: 64
[ Tue Sep 27 19:19:46 2022 ] 	Mean test loss of 930 batches: 0.9700503990534813.
[ Tue Sep 27 19:19:47 2022 ] 	Top1: 73.64%
[ Tue Sep 27 19:19:47 2022 ] 	Top5: 93.92%
[ Tue Sep 27 19:19:47 2022 ] Training epoch: 65
[ Tue Sep 27 19:24:03 2022 ] 	Mean training loss: 0.6546. loss2: 0.0000. Mean training acc: 79.74%.
[ Tue Sep 27 19:24:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:24:03 2022 ] Eval epoch: 65
[ Tue Sep 27 19:25:43 2022 ] 	Mean test loss of 930 batches: 1.172552397366493.
[ Tue Sep 27 19:25:43 2022 ] 	Top1: 67.74%
[ Tue Sep 27 19:25:44 2022 ] 	Top5: 91.15%
[ Tue Sep 27 19:25:44 2022 ] Training epoch: 66
[ Tue Sep 27 19:29:59 2022 ] 	Mean training loss: 0.6614. loss2: 0.0000. Mean training acc: 79.40%.
[ Tue Sep 27 19:29:59 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:29:59 2022 ] Eval epoch: 66
[ Tue Sep 27 19:31:39 2022 ] 	Mean test loss of 930 batches: 1.0110325302808516.
[ Tue Sep 27 19:31:40 2022 ] 	Top1: 70.69%
[ Tue Sep 27 19:31:40 2022 ] 	Top5: 92.75%
[ Tue Sep 27 19:31:40 2022 ] Training epoch: 67
[ Tue Sep 27 19:35:56 2022 ] 	Mean training loss: 0.6565. loss2: 0.0000. Mean training acc: 79.64%.
[ Tue Sep 27 19:35:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:35:56 2022 ] Eval epoch: 67
[ Tue Sep 27 19:37:36 2022 ] 	Mean test loss of 930 batches: 0.889750396404215.
[ Tue Sep 27 19:37:37 2022 ] 	Top1: 74.39%
[ Tue Sep 27 19:37:37 2022 ] 	Top5: 94.25%
[ Tue Sep 27 19:37:37 2022 ] Training epoch: 68
[ Tue Sep 27 19:41:52 2022 ] 	Mean training loss: 0.6535. loss2: 0.0000. Mean training acc: 79.83%.
[ Tue Sep 27 19:41:52 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:41:52 2022 ] Eval epoch: 68
[ Tue Sep 27 19:43:32 2022 ] 	Mean test loss of 930 batches: 0.9975328243868326.
[ Tue Sep 27 19:43:33 2022 ] 	Top1: 71.44%
[ Tue Sep 27 19:43:33 2022 ] 	Top5: 93.31%
[ Tue Sep 27 19:43:33 2022 ] Training epoch: 69
[ Tue Sep 27 19:47:49 2022 ] 	Mean training loss: 0.6525. loss2: 0.0000. Mean training acc: 79.49%.
[ Tue Sep 27 19:47:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:47:49 2022 ] Eval epoch: 69
[ Tue Sep 27 19:49:29 2022 ] 	Mean test loss of 930 batches: 0.7856752328975226.
[ Tue Sep 27 19:49:29 2022 ] 	Top1: 76.88%
[ Tue Sep 27 19:49:30 2022 ] 	Top5: 95.01%
[ Tue Sep 27 19:49:30 2022 ] Training epoch: 70
[ Tue Sep 27 19:53:45 2022 ] 	Mean training loss: 0.6496. loss2: 0.0000. Mean training acc: 79.96%.
[ Tue Sep 27 19:53:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:53:45 2022 ] Eval epoch: 70
[ Tue Sep 27 19:55:25 2022 ] 	Mean test loss of 930 batches: 0.9692417960654023.
[ Tue Sep 27 19:55:26 2022 ] 	Top1: 72.22%
[ Tue Sep 27 19:55:26 2022 ] 	Top5: 93.70%
[ Tue Sep 27 19:55:26 2022 ] Training epoch: 71
[ Tue Sep 27 19:59:42 2022 ] 	Mean training loss: 0.6576. loss2: 0.0000. Mean training acc: 79.64%.
[ Tue Sep 27 19:59:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:59:42 2022 ] Eval epoch: 71
[ Tue Sep 27 20:01:22 2022 ] 	Mean test loss of 930 batches: 0.8829393261703112.
[ Tue Sep 27 20:01:22 2022 ] 	Top1: 73.55%
[ Tue Sep 27 20:01:23 2022 ] 	Top5: 94.27%
[ Tue Sep 27 20:01:23 2022 ] Training epoch: 72
[ Tue Sep 27 20:05:38 2022 ] 	Mean training loss: 0.6579. loss2: 0.0000. Mean training acc: 79.56%.
[ Tue Sep 27 20:05:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:05:38 2022 ] Eval epoch: 72
[ Tue Sep 27 20:07:18 2022 ] 	Mean test loss of 930 batches: 0.895061245688828.
[ Tue Sep 27 20:07:18 2022 ] 	Top1: 74.07%
[ Tue Sep 27 20:07:19 2022 ] 	Top5: 94.11%
[ Tue Sep 27 20:07:19 2022 ] Training epoch: 73
[ Tue Sep 27 20:11:34 2022 ] 	Mean training loss: 0.6485. loss2: 0.0000. Mean training acc: 79.84%.
[ Tue Sep 27 20:11:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:11:34 2022 ] Eval epoch: 73
[ Tue Sep 27 20:13:14 2022 ] 	Mean test loss of 930 batches: 0.8117876715397322.
[ Tue Sep 27 20:13:15 2022 ] 	Top1: 75.93%
[ Tue Sep 27 20:13:15 2022 ] 	Top5: 94.76%
[ Tue Sep 27 20:13:15 2022 ] Training epoch: 74
[ Tue Sep 27 20:17:31 2022 ] 	Mean training loss: 0.6561. loss2: 0.0000. Mean training acc: 79.61%.
[ Tue Sep 27 20:17:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:17:31 2022 ] Eval epoch: 74
[ Tue Sep 27 20:19:11 2022 ] 	Mean test loss of 930 batches: 0.8092490119158581.
[ Tue Sep 27 20:19:11 2022 ] 	Top1: 75.82%
[ Tue Sep 27 20:19:12 2022 ] 	Top5: 94.99%
[ Tue Sep 27 20:19:12 2022 ] Training epoch: 75
[ Tue Sep 27 20:23:27 2022 ] 	Mean training loss: 0.6535. loss2: 0.0000. Mean training acc: 79.63%.
[ Tue Sep 27 20:23:27 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:23:27 2022 ] Eval epoch: 75
[ Tue Sep 27 20:25:07 2022 ] 	Mean test loss of 930 batches: 0.8878002409332542.
[ Tue Sep 27 20:25:08 2022 ] 	Top1: 73.90%
[ Tue Sep 27 20:25:08 2022 ] 	Top5: 94.06%
[ Tue Sep 27 20:25:08 2022 ] Training epoch: 76
[ Tue Sep 27 20:29:23 2022 ] 	Mean training loss: 0.6529. loss2: 0.0000. Mean training acc: 79.77%.
[ Tue Sep 27 20:29:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:29:24 2022 ] Eval epoch: 76
[ Tue Sep 27 20:31:04 2022 ] 	Mean test loss of 930 batches: 0.8320179401546396.
[ Tue Sep 27 20:31:04 2022 ] 	Top1: 75.53%
[ Tue Sep 27 20:31:05 2022 ] 	Top5: 94.51%
[ Tue Sep 27 20:31:05 2022 ] Training epoch: 77
[ Tue Sep 27 20:35:20 2022 ] 	Mean training loss: 0.6484. loss2: 0.0000. Mean training acc: 79.89%.
[ Tue Sep 27 20:35:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:35:20 2022 ] Eval epoch: 77
[ Tue Sep 27 20:37:00 2022 ] 	Mean test loss of 930 batches: 1.0634897260576166.
[ Tue Sep 27 20:37:01 2022 ] 	Top1: 69.80%
[ Tue Sep 27 20:37:01 2022 ] 	Top5: 92.32%
[ Tue Sep 27 20:37:02 2022 ] Training epoch: 78
[ Tue Sep 27 20:41:17 2022 ] 	Mean training loss: 0.6529. loss2: 0.0000. Mean training acc: 79.70%.
[ Tue Sep 27 20:41:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:41:17 2022 ] Eval epoch: 78
[ Tue Sep 27 20:42:57 2022 ] 	Mean test loss of 930 batches: 1.4046918551768026.
[ Tue Sep 27 20:42:58 2022 ] 	Top1: 62.77%
[ Tue Sep 27 20:42:58 2022 ] 	Top5: 88.05%
[ Tue Sep 27 20:42:58 2022 ] Training epoch: 79
[ Tue Sep 27 20:47:14 2022 ] 	Mean training loss: 0.6511. loss2: 0.0000. Mean training acc: 79.90%.
[ Tue Sep 27 20:47:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:47:14 2022 ] Eval epoch: 79
[ Tue Sep 27 20:48:54 2022 ] 	Mean test loss of 930 batches: 1.3607957495156155.
[ Tue Sep 27 20:48:54 2022 ] 	Top1: 63.77%
[ Tue Sep 27 20:48:55 2022 ] 	Top5: 88.84%
[ Tue Sep 27 20:48:55 2022 ] Training epoch: 80
[ Tue Sep 27 20:53:10 2022 ] 	Mean training loss: 0.6569. loss2: 0.0000. Mean training acc: 79.74%.
[ Tue Sep 27 20:53:10 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:53:10 2022 ] Eval epoch: 80
[ Tue Sep 27 20:54:50 2022 ] 	Mean test loss of 930 batches: 0.945417343064021.
[ Tue Sep 27 20:54:51 2022 ] 	Top1: 72.80%
[ Tue Sep 27 20:54:51 2022 ] 	Top5: 94.19%
[ Tue Sep 27 20:54:51 2022 ] Training epoch: 81
[ Tue Sep 27 20:59:07 2022 ] 	Mean training loss: 0.6427. loss2: 0.0000. Mean training acc: 80.02%.
[ Tue Sep 27 20:59:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 20:59:07 2022 ] Eval epoch: 81
[ Tue Sep 27 21:00:47 2022 ] 	Mean test loss of 930 batches: 0.8681044427457676.
[ Tue Sep 27 21:00:47 2022 ] 	Top1: 74.65%
[ Tue Sep 27 21:00:48 2022 ] 	Top5: 94.17%
[ Tue Sep 27 21:00:48 2022 ] Training epoch: 82
[ Tue Sep 27 21:05:03 2022 ] 	Mean training loss: 0.6547. loss2: 0.0000. Mean training acc: 79.69%.
[ Tue Sep 27 21:05:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:05:03 2022 ] Eval epoch: 82
[ Tue Sep 27 21:06:44 2022 ] 	Mean test loss of 930 batches: 0.8585779825365671.
[ Tue Sep 27 21:06:44 2022 ] 	Top1: 74.64%
[ Tue Sep 27 21:06:45 2022 ] 	Top5: 94.27%
[ Tue Sep 27 21:06:45 2022 ] Training epoch: 83
[ Tue Sep 27 21:11:00 2022 ] 	Mean training loss: 0.6502. loss2: 0.0000. Mean training acc: 79.86%.
[ Tue Sep 27 21:11:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:11:00 2022 ] Eval epoch: 83
[ Tue Sep 27 21:12:40 2022 ] 	Mean test loss of 930 batches: 0.8321098850779636.
[ Tue Sep 27 21:12:41 2022 ] 	Top1: 75.69%
[ Tue Sep 27 21:12:41 2022 ] 	Top5: 94.48%
[ Tue Sep 27 21:12:41 2022 ] Training epoch: 84
[ Tue Sep 27 21:16:56 2022 ] 	Mean training loss: 0.6432. loss2: 0.0000. Mean training acc: 80.20%.
[ Tue Sep 27 21:16:56 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:16:57 2022 ] Eval epoch: 84
[ Tue Sep 27 21:18:37 2022 ] 	Mean test loss of 930 batches: 1.0055255289039304.
[ Tue Sep 27 21:18:37 2022 ] 	Top1: 71.36%
[ Tue Sep 27 21:18:38 2022 ] 	Top5: 92.13%
[ Tue Sep 27 21:18:38 2022 ] Training epoch: 85
[ Tue Sep 27 21:22:53 2022 ] 	Mean training loss: 0.6516. loss2: 0.0000. Mean training acc: 79.92%.
[ Tue Sep 27 21:22:53 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:22:53 2022 ] Eval epoch: 85
[ Tue Sep 27 21:24:33 2022 ] 	Mean test loss of 930 batches: 0.8575372668363714.
[ Tue Sep 27 21:24:34 2022 ] 	Top1: 74.85%
[ Tue Sep 27 21:24:34 2022 ] 	Top5: 94.43%
[ Tue Sep 27 21:24:34 2022 ] Training epoch: 86
[ Tue Sep 27 21:28:49 2022 ] 	Mean training loss: 0.6468. loss2: 0.0000. Mean training acc: 79.95%.
[ Tue Sep 27 21:28:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:28:49 2022 ] Eval epoch: 86
[ Tue Sep 27 21:30:29 2022 ] 	Mean test loss of 930 batches: 0.9247329324964554.
[ Tue Sep 27 21:30:30 2022 ] 	Top1: 73.49%
[ Tue Sep 27 21:30:31 2022 ] 	Top5: 93.75%
[ Tue Sep 27 21:30:31 2022 ] Training epoch: 87
[ Tue Sep 27 21:34:46 2022 ] 	Mean training loss: 0.6490. loss2: 0.0000. Mean training acc: 79.77%.
[ Tue Sep 27 21:34:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:34:46 2022 ] Eval epoch: 87
[ Tue Sep 27 21:36:26 2022 ] 	Mean test loss of 930 batches: 0.8667182112893751.
[ Tue Sep 27 21:36:27 2022 ] 	Top1: 74.34%
[ Tue Sep 27 21:36:28 2022 ] 	Top5: 94.43%
[ Tue Sep 27 21:36:28 2022 ] Training epoch: 88
[ Tue Sep 27 21:40:44 2022 ] 	Mean training loss: 0.6568. loss2: 0.0000. Mean training acc: 79.52%.
[ Tue Sep 27 21:40:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:40:44 2022 ] Eval epoch: 88
[ Tue Sep 27 21:42:24 2022 ] 	Mean test loss of 930 batches: 0.8710038872976457.
[ Tue Sep 27 21:42:24 2022 ] 	Top1: 74.37%
[ Tue Sep 27 21:42:25 2022 ] 	Top5: 93.81%
[ Tue Sep 27 21:42:25 2022 ] Training epoch: 89
[ Tue Sep 27 21:46:40 2022 ] 	Mean training loss: 0.6465. loss2: 0.0000. Mean training acc: 79.92%.
[ Tue Sep 27 21:46:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:46:40 2022 ] Eval epoch: 89
[ Tue Sep 27 21:48:20 2022 ] 	Mean test loss of 930 batches: 0.9731769408910506.
[ Tue Sep 27 21:48:20 2022 ] 	Top1: 71.85%
[ Tue Sep 27 21:48:21 2022 ] 	Top5: 93.97%
[ Tue Sep 27 21:48:21 2022 ] Training epoch: 90
[ Tue Sep 27 21:52:36 2022 ] 	Mean training loss: 0.6552. loss2: 0.0000. Mean training acc: 79.73%.
[ Tue Sep 27 21:52:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:52:36 2022 ] Eval epoch: 90
[ Tue Sep 27 21:54:16 2022 ] 	Mean test loss of 930 batches: 1.0139465296460737.
[ Tue Sep 27 21:54:17 2022 ] 	Top1: 71.01%
[ Tue Sep 27 21:54:17 2022 ] 	Top5: 92.44%
[ Tue Sep 27 21:54:17 2022 ] Training epoch: 91
[ Tue Sep 27 21:58:33 2022 ] 	Mean training loss: 0.3644. loss2: 0.0000. Mean training acc: 88.88%.
[ Tue Sep 27 21:58:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:58:33 2022 ] Eval epoch: 91
[ Tue Sep 27 22:00:13 2022 ] 	Mean test loss of 930 batches: 0.4718225840959818.
[ Tue Sep 27 22:00:14 2022 ] 	Top1: 85.72%
[ Tue Sep 27 22:00:14 2022 ] 	Top5: 97.36%
[ Tue Sep 27 22:00:14 2022 ] Training epoch: 92
[ Tue Sep 27 22:04:30 2022 ] 	Mean training loss: 0.2865. loss2: 0.0000. Mean training acc: 91.18%.
[ Tue Sep 27 22:04:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:04:30 2022 ] Eval epoch: 92
[ Tue Sep 27 22:06:10 2022 ] 	Mean test loss of 930 batches: 0.464409201964736.
[ Tue Sep 27 22:06:10 2022 ] 	Top1: 86.14%
[ Tue Sep 27 22:06:11 2022 ] 	Top5: 97.43%
[ Tue Sep 27 22:06:11 2022 ] Training epoch: 93
[ Tue Sep 27 22:10:26 2022 ] 	Mean training loss: 0.2545. loss2: 0.0000. Mean training acc: 92.29%.
[ Tue Sep 27 22:10:26 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:10:26 2022 ] Eval epoch: 93
[ Tue Sep 27 22:12:06 2022 ] 	Mean test loss of 930 batches: 0.4538094518325662.
[ Tue Sep 27 22:12:06 2022 ] 	Top1: 86.34%
[ Tue Sep 27 22:12:07 2022 ] 	Top5: 97.49%
[ Tue Sep 27 22:12:07 2022 ] Training epoch: 94
[ Tue Sep 27 22:16:22 2022 ] 	Mean training loss: 0.2376. loss2: 0.0000. Mean training acc: 92.76%.
[ Tue Sep 27 22:16:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:16:22 2022 ] Eval epoch: 94
[ Tue Sep 27 22:18:02 2022 ] 	Mean test loss of 930 batches: 0.45992591082248635.
[ Tue Sep 27 22:18:03 2022 ] 	Top1: 86.23%
[ Tue Sep 27 22:18:03 2022 ] 	Top5: 97.44%
[ Tue Sep 27 22:18:04 2022 ] Training epoch: 95
[ Tue Sep 27 22:22:19 2022 ] 	Mean training loss: 0.2193. loss2: 0.0000. Mean training acc: 93.34%.
[ Tue Sep 27 22:22:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:22:19 2022 ] Eval epoch: 95
[ Tue Sep 27 22:23:59 2022 ] 	Mean test loss of 930 batches: 0.4674891341677917.
[ Tue Sep 27 22:23:59 2022 ] 	Top1: 86.07%
[ Tue Sep 27 22:24:00 2022 ] 	Top5: 97.47%
[ Tue Sep 27 22:24:00 2022 ] Training epoch: 96
[ Tue Sep 27 22:28:15 2022 ] 	Mean training loss: 0.2067. loss2: 0.0000. Mean training acc: 93.91%.
[ Tue Sep 27 22:28:15 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:28:15 2022 ] Eval epoch: 96
[ Tue Sep 27 22:29:55 2022 ] 	Mean test loss of 930 batches: 0.4689261894072256.
[ Tue Sep 27 22:29:56 2022 ] 	Top1: 86.11%
[ Tue Sep 27 22:29:56 2022 ] 	Top5: 97.44%
[ Tue Sep 27 22:29:56 2022 ] Training epoch: 97
[ Tue Sep 27 22:34:11 2022 ] 	Mean training loss: 0.1935. loss2: 0.0000. Mean training acc: 94.30%.
[ Tue Sep 27 22:34:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:34:12 2022 ] Eval epoch: 97
[ Tue Sep 27 22:35:51 2022 ] 	Mean test loss of 930 batches: 0.47490575351221587.
[ Tue Sep 27 22:35:52 2022 ] 	Top1: 86.00%
[ Tue Sep 27 22:35:53 2022 ] 	Top5: 97.45%
[ Tue Sep 27 22:35:53 2022 ] Training epoch: 98
[ Tue Sep 27 22:40:08 2022 ] 	Mean training loss: 0.1840. loss2: 0.0000. Mean training acc: 94.62%.
[ Tue Sep 27 22:40:08 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:40:08 2022 ] Eval epoch: 98
[ Tue Sep 27 22:41:48 2022 ] 	Mean test loss of 930 batches: 0.4772783520761677.
[ Tue Sep 27 22:41:49 2022 ] 	Top1: 86.07%
[ Tue Sep 27 22:41:49 2022 ] 	Top5: 97.37%
[ Tue Sep 27 22:41:49 2022 ] Training epoch: 99
[ Tue Sep 27 22:46:04 2022 ] 	Mean training loss: 0.1765. loss2: 0.0000. Mean training acc: 94.85%.
[ Tue Sep 27 22:46:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:46:04 2022 ] Eval epoch: 99
[ Tue Sep 27 22:47:44 2022 ] 	Mean test loss of 930 batches: 0.48010754153853463.
[ Tue Sep 27 22:47:45 2022 ] 	Top1: 86.06%
[ Tue Sep 27 22:47:45 2022 ] 	Top5: 97.31%
[ Tue Sep 27 22:47:45 2022 ] Training epoch: 100
[ Tue Sep 27 22:52:00 2022 ] 	Mean training loss: 0.1660. loss2: 0.0000. Mean training acc: 95.23%.
[ Tue Sep 27 22:52:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:52:01 2022 ] Eval epoch: 100
[ Tue Sep 27 22:53:41 2022 ] 	Mean test loss of 930 batches: 0.47422635902961097.
[ Tue Sep 27 22:53:41 2022 ] 	Top1: 86.29%
[ Tue Sep 27 22:53:42 2022 ] 	Top5: 97.41%
[ Tue Sep 27 22:53:42 2022 ] Training epoch: 101
[ Tue Sep 27 22:57:57 2022 ] 	Mean training loss: 0.1258. loss2: 0.0000. Mean training acc: 96.84%.
[ Tue Sep 27 22:57:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:57:57 2022 ] Eval epoch: 101
[ Tue Sep 27 22:59:37 2022 ] 	Mean test loss of 930 batches: 0.449031134330297.
[ Tue Sep 27 22:59:38 2022 ] 	Top1: 87.12%
[ Tue Sep 27 22:59:38 2022 ] 	Top5: 97.53%
[ Tue Sep 27 22:59:38 2022 ] Training epoch: 102
[ Tue Sep 27 23:03:53 2022 ] 	Mean training loss: 0.1076. loss2: 0.0000. Mean training acc: 97.41%.
[ Tue Sep 27 23:03:53 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:03:54 2022 ] Eval epoch: 102
[ Tue Sep 27 23:05:34 2022 ] 	Mean test loss of 930 batches: 0.45024762283409797.
[ Tue Sep 27 23:05:34 2022 ] 	Top1: 87.25%
[ Tue Sep 27 23:05:35 2022 ] 	Top5: 97.54%
[ Tue Sep 27 23:05:35 2022 ] Training epoch: 103
[ Tue Sep 27 23:09:50 2022 ] 	Mean training loss: 0.1039. loss2: 0.0000. Mean training acc: 97.48%.
[ Tue Sep 27 23:09:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:09:50 2022 ] Eval epoch: 103
[ Tue Sep 27 23:11:30 2022 ] 	Mean test loss of 930 batches: 0.4533208768854859.
[ Tue Sep 27 23:11:31 2022 ] 	Top1: 87.05%
[ Tue Sep 27 23:11:31 2022 ] 	Top5: 97.55%
[ Tue Sep 27 23:11:31 2022 ] Training epoch: 104
[ Tue Sep 27 23:15:47 2022 ] 	Mean training loss: 0.1000. loss2: 0.0000. Mean training acc: 97.65%.
[ Tue Sep 27 23:15:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:15:47 2022 ] Eval epoch: 104
[ Tue Sep 27 23:17:27 2022 ] 	Mean test loss of 930 batches: 0.4554206589797652.
[ Tue Sep 27 23:17:27 2022 ] 	Top1: 87.08%
[ Tue Sep 27 23:17:28 2022 ] 	Top5: 97.48%
[ Tue Sep 27 23:17:28 2022 ] Training epoch: 105
[ Tue Sep 27 23:21:43 2022 ] 	Mean training loss: 0.0949. loss2: 0.0000. Mean training acc: 97.80%.
[ Tue Sep 27 23:21:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:21:43 2022 ] Eval epoch: 105
[ Tue Sep 27 23:23:24 2022 ] 	Mean test loss of 930 batches: 0.45326539538800714.
[ Tue Sep 27 23:23:24 2022 ] 	Top1: 87.15%
[ Tue Sep 27 23:23:25 2022 ] 	Top5: 97.57%
[ Tue Sep 27 23:23:25 2022 ] Training epoch: 106
[ Tue Sep 27 23:27:40 2022 ] 	Mean training loss: 0.0916. loss2: 0.0000. Mean training acc: 97.92%.
[ Tue Sep 27 23:27:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:27:40 2022 ] Eval epoch: 106
[ Tue Sep 27 23:29:20 2022 ] 	Mean test loss of 930 batches: 0.4584665157141224.
[ Tue Sep 27 23:29:20 2022 ] 	Top1: 87.12%
[ Tue Sep 27 23:29:21 2022 ] 	Top5: 97.51%
[ Tue Sep 27 23:29:21 2022 ] Training epoch: 107
[ Tue Sep 27 23:33:36 2022 ] 	Mean training loss: 0.0896. loss2: 0.0000. Mean training acc: 97.97%.
[ Tue Sep 27 23:33:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:33:36 2022 ] Eval epoch: 107
[ Tue Sep 27 23:35:16 2022 ] 	Mean test loss of 930 batches: 0.4591771253614977.
[ Tue Sep 27 23:35:17 2022 ] 	Top1: 87.14%
[ Tue Sep 27 23:35:17 2022 ] 	Top5: 97.51%
[ Tue Sep 27 23:35:17 2022 ] Training epoch: 108
[ Tue Sep 27 23:39:32 2022 ] 	Mean training loss: 0.0874. loss2: 0.0000. Mean training acc: 98.02%.
[ Tue Sep 27 23:39:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:39:32 2022 ] Eval epoch: 108
[ Tue Sep 27 23:41:12 2022 ] 	Mean test loss of 930 batches: 0.46069328552812977.
[ Tue Sep 27 23:41:13 2022 ] 	Top1: 87.14%
[ Tue Sep 27 23:41:13 2022 ] 	Top5: 97.48%
[ Tue Sep 27 23:41:13 2022 ] Training epoch: 109
[ Tue Sep 27 23:45:28 2022 ] 	Mean training loss: 0.0822. loss2: 0.0000. Mean training acc: 98.20%.
[ Tue Sep 27 23:45:28 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:45:28 2022 ] Eval epoch: 109
[ Tue Sep 27 23:47:08 2022 ] 	Mean test loss of 930 batches: 0.4650841749283255.
[ Tue Sep 27 23:47:09 2022 ] 	Top1: 87.07%
[ Tue Sep 27 23:47:09 2022 ] 	Top5: 97.50%
[ Tue Sep 27 23:47:09 2022 ] Training epoch: 110
[ Tue Sep 27 23:51:24 2022 ] 	Mean training loss: 0.0814. loss2: 0.0000. Mean training acc: 98.28%.
[ Tue Sep 27 23:51:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:51:25 2022 ] Eval epoch: 110
[ Tue Sep 27 23:53:04 2022 ] 	Mean test loss of 930 batches: 0.46162856495388416.
[ Tue Sep 27 23:53:05 2022 ] 	Top1: 87.17%
[ Tue Sep 27 23:53:05 2022 ] 	Top5: 97.47%
[ Tue Sep 27 23:54:47 2022 ] Best accuracy: 0.8724885249760411
[ Tue Sep 27 23:54:47 2022 ] Epoch number: 102
[ Tue Sep 27 23:54:47 2022 ] Model name: work_dir/ntu120/cset/fc_joint
[ Tue Sep 27 23:54:47 2022 ] Model total number of params: 2112877
[ Tue Sep 27 23:54:47 2022 ] Weight decay: 0.0004
[ Tue Sep 27 23:54:47 2022 ] Base LR: 0.1
[ Tue Sep 27 23:54:47 2022 ] Batch Size: 64
[ Tue Sep 27 23:54:47 2022 ] Test Batch Size: 64
[ Tue Sep 27 23:54:47 2022 ] seed: 1
