[ Tue Sep 27 13:00:48 2022 ] using warm up, epoch: 5
[ Tue Sep 27 13:01:13 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/cset/fc_vel', 'model_saved_name': 'work_dir/ntu120/cset/fc_vel/runs', 'config': 'config/nturgbd120-cross-set/fc_vel.yaml', 'phase': 'train', 'save_score': False, 'joint_label': [], 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 35, 'eval_interval': 5, 'ema': False, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_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': True, 'bone': False}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, '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': [6], '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 13:01:13 2022 ] # Parameters: 2112877
[ Tue Sep 27 13:01:13 2022 ] Training epoch: 1
[ Tue Sep 27 13:05:30 2022 ] 	Mean training loss: 3.3028. loss2: 0.0000. Mean training acc: 22.04%.
[ Tue Sep 27 13:05:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:05:30 2022 ] Eval epoch: 1
[ Tue Sep 27 13:07:10 2022 ] 	Mean test loss of 930 batches: 2.4446560745598167.
[ Tue Sep 27 13:07:11 2022 ] 	Top1: 37.72%
[ Tue Sep 27 13:07:12 2022 ] 	Top5: 71.37%
[ Tue Sep 27 13:07:12 2022 ] Training epoch: 2
[ Tue Sep 27 13:11:27 2022 ] 	Mean training loss: 2.1104. loss2: 0.0000. Mean training acc: 42.90%.
[ Tue Sep 27 13:11:27 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:11:27 2022 ] Eval epoch: 2
[ Tue Sep 27 13:13:07 2022 ] 	Mean test loss of 930 batches: 1.8362933205660954.
[ Tue Sep 27 13:13:07 2022 ] 	Top1: 49.03%
[ Tue Sep 27 13:13:08 2022 ] 	Top5: 82.09%
[ Tue Sep 27 13:13:08 2022 ] Training epoch: 3
[ Tue Sep 27 13:17:22 2022 ] 	Mean training loss: 1.6982. loss2: 0.0000. Mean training acc: 52.02%.
[ Tue Sep 27 13:17:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:17:22 2022 ] Eval epoch: 3
[ Tue Sep 27 13:19:03 2022 ] 	Mean test loss of 930 batches: 1.6040511262032293.
[ Tue Sep 27 13:19:03 2022 ] 	Top1: 54.79%
[ Tue Sep 27 13:19:04 2022 ] 	Top5: 85.17%
[ Tue Sep 27 13:19:04 2022 ] Training epoch: 4
[ Tue Sep 27 13:23:18 2022 ] 	Mean training loss: 1.4744. loss2: 0.0000. Mean training acc: 57.51%.
[ Tue Sep 27 13:23:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:23:18 2022 ] Eval epoch: 4
[ Tue Sep 27 13:24:58 2022 ] 	Mean test loss of 930 batches: 1.4952200697955265.
[ Tue Sep 27 13:24:59 2022 ] 	Top1: 56.43%
[ Tue Sep 27 13:24:59 2022 ] 	Top5: 86.82%
[ Tue Sep 27 13:24:59 2022 ] Training epoch: 5
[ Tue Sep 27 13:29:14 2022 ] 	Mean training loss: 1.3643. loss2: 0.0000. Mean training acc: 60.37%.
[ Tue Sep 27 13:29:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:29:14 2022 ] Eval epoch: 5
[ Tue Sep 27 13:30:54 2022 ] 	Mean test loss of 930 batches: 1.4219714914598773.
[ Tue Sep 27 13:30:55 2022 ] 	Top1: 59.43%
[ Tue Sep 27 13:30:55 2022 ] 	Top5: 87.40%
[ Tue Sep 27 13:30:55 2022 ] Training epoch: 6
[ Tue Sep 27 13:35:10 2022 ] 	Mean training loss: 1.2281. loss2: 0.0000. Mean training acc: 63.80%.
[ Tue Sep 27 13:35:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 13:35:10 2022 ] Eval epoch: 6
[ Tue Sep 27 13:36:50 2022 ] 	Mean test loss of 930 batches: 1.485771466775607.
[ Tue Sep 27 13:36:51 2022 ] 	Top1: 57.06%
[ Tue Sep 27 13:36:51 2022 ] 	Top5: 87.03%
[ Tue Sep 27 13:36:51 2022 ] Training epoch: 7
[ Tue Sep 27 13:41:06 2022 ] 	Mean training loss: 1.1558. loss2: 0.0000. Mean training acc: 65.72%.
[ Tue Sep 27 13:41:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:41:06 2022 ] Eval epoch: 7
[ Tue Sep 27 13:42:46 2022 ] 	Mean test loss of 930 batches: 1.6631565438803806.
[ Tue Sep 27 13:42:47 2022 ] 	Top1: 54.88%
[ Tue Sep 27 13:42:47 2022 ] 	Top5: 83.70%
[ Tue Sep 27 13:42:47 2022 ] Training epoch: 8
[ Tue Sep 27 13:47:02 2022 ] 	Mean training loss: 1.1148. loss2: 0.0000. Mean training acc: 66.97%.
[ Tue Sep 27 13:47:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 13:47:02 2022 ] Eval epoch: 8
[ Tue Sep 27 13:48:42 2022 ] 	Mean test loss of 930 batches: 1.2907975379818228.
[ Tue Sep 27 13:48:43 2022 ] 	Top1: 63.11%
[ Tue Sep 27 13:48:43 2022 ] 	Top5: 89.54%
[ Tue Sep 27 13:48:43 2022 ] Training epoch: 9
[ Tue Sep 27 13:52:59 2022 ] 	Mean training loss: 1.0669. loss2: 0.0000. Mean training acc: 68.33%.
[ Tue Sep 27 13:52:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 13:52:59 2022 ] Eval epoch: 9
[ Tue Sep 27 13:54:39 2022 ] 	Mean test loss of 930 batches: 1.229342976180456.
[ Tue Sep 27 13:54:40 2022 ] 	Top1: 64.82%
[ Tue Sep 27 13:54:40 2022 ] 	Top5: 89.76%
[ Tue Sep 27 13:54:40 2022 ] Training epoch: 10
[ Tue Sep 27 13:58:55 2022 ] 	Mean training loss: 1.0436. loss2: 0.0000. Mean training acc: 68.68%.
[ Tue Sep 27 13:58:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 13:58:55 2022 ] Eval epoch: 10
[ Tue Sep 27 14:00:35 2022 ] 	Mean test loss of 930 batches: 1.3952428962594718.
[ Tue Sep 27 14:00:36 2022 ] 	Top1: 60.84%
[ Tue Sep 27 14:00:37 2022 ] 	Top5: 87.99%
[ Tue Sep 27 14:00:37 2022 ] Training epoch: 11
[ Tue Sep 27 14:04:51 2022 ] 	Mean training loss: 1.0069. loss2: 0.0000. Mean training acc: 69.89%.
[ Tue Sep 27 14:04:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:04:51 2022 ] Eval epoch: 11
[ Tue Sep 27 14:06:31 2022 ] 	Mean test loss of 930 batches: 1.2518219612618928.
[ Tue Sep 27 14:06:32 2022 ] 	Top1: 64.08%
[ Tue Sep 27 14:06:33 2022 ] 	Top5: 90.07%
[ Tue Sep 27 14:06:33 2022 ] Training epoch: 12
[ Tue Sep 27 14:10:47 2022 ] 	Mean training loss: 0.9818. loss2: 0.0000. Mean training acc: 70.54%.
[ Tue Sep 27 14:10:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 14:10:47 2022 ] Eval epoch: 12
[ Tue Sep 27 14:12:28 2022 ] 	Mean test loss of 930 batches: 1.318906634212822.
[ Tue Sep 27 14:12:28 2022 ] 	Top1: 63.12%
[ Tue Sep 27 14:12:29 2022 ] 	Top5: 88.60%
[ Tue Sep 27 14:12:29 2022 ] Training epoch: 13
[ Tue Sep 27 14:16:43 2022 ] 	Mean training loss: 0.9737. loss2: 0.0000. Mean training acc: 70.84%.
[ Tue Sep 27 14:16:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:16:43 2022 ] Eval epoch: 13
[ Tue Sep 27 14:18:24 2022 ] 	Mean test loss of 930 batches: 1.1328547267824092.
[ Tue Sep 27 14:18:24 2022 ] 	Top1: 67.74%
[ Tue Sep 27 14:18:25 2022 ] 	Top5: 90.99%
[ Tue Sep 27 14:18:25 2022 ] Training epoch: 14
[ Tue Sep 27 14:22:39 2022 ] 	Mean training loss: 0.9532. loss2: 0.0000. Mean training acc: 71.30%.
[ Tue Sep 27 14:22:39 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:22:39 2022 ] Eval epoch: 14
[ Tue Sep 27 14:24:19 2022 ] 	Mean test loss of 930 batches: 1.2601929805291596.
[ Tue Sep 27 14:24:20 2022 ] 	Top1: 64.06%
[ Tue Sep 27 14:24:20 2022 ] 	Top5: 90.63%
[ Tue Sep 27 14:24:20 2022 ] Training epoch: 15
[ Tue Sep 27 14:28:35 2022 ] 	Mean training loss: 0.9330. loss2: 0.0000. Mean training acc: 71.96%.
[ Tue Sep 27 14:28:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 14:28:35 2022 ] Eval epoch: 15
[ Tue Sep 27 14:30:15 2022 ] 	Mean test loss of 930 batches: 1.1900043768587933.
[ Tue Sep 27 14:30:16 2022 ] 	Top1: 65.85%
[ Tue Sep 27 14:30:16 2022 ] 	Top5: 90.75%
[ Tue Sep 27 14:30:16 2022 ] Training epoch: 16
[ Tue Sep 27 14:34:32 2022 ] 	Mean training loss: 0.9271. loss2: 0.0000. Mean training acc: 72.19%.
[ Tue Sep 27 14:34:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 14:34:32 2022 ] Eval epoch: 16
[ Tue Sep 27 14:36:12 2022 ] 	Mean test loss of 930 batches: 1.2458510260748608.
[ Tue Sep 27 14:36:12 2022 ] 	Top1: 64.90%
[ Tue Sep 27 14:36:13 2022 ] 	Top5: 89.92%
[ Tue Sep 27 14:36:13 2022 ] Training epoch: 17
[ Tue Sep 27 14:40:27 2022 ] 	Mean training loss: 0.9083. loss2: 0.0000. Mean training acc: 72.60%.
[ Tue Sep 27 14:40:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 14:40:27 2022 ] Eval epoch: 17
[ Tue Sep 27 14:42:08 2022 ] 	Mean test loss of 930 batches: 1.2052228996189691.
[ Tue Sep 27 14:42:08 2022 ] 	Top1: 65.97%
[ Tue Sep 27 14:42:09 2022 ] 	Top5: 90.40%
[ Tue Sep 27 14:42:09 2022 ] Training epoch: 18
[ Tue Sep 27 14:46:23 2022 ] 	Mean training loss: 0.9104. loss2: 0.0000. Mean training acc: 72.75%.
[ Tue Sep 27 14:46:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:46:23 2022 ] Eval epoch: 18
[ Tue Sep 27 14:48:04 2022 ] 	Mean test loss of 930 batches: 1.0441830058251658.
[ Tue Sep 27 14:48:04 2022 ] 	Top1: 70.01%
[ Tue Sep 27 14:48:05 2022 ] 	Top5: 92.21%
[ Tue Sep 27 14:48:05 2022 ] Training epoch: 19
[ Tue Sep 27 14:52:20 2022 ] 	Mean training loss: 0.8892. loss2: 0.0000. Mean training acc: 73.23%.
[ Tue Sep 27 14:52:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:52:20 2022 ] Eval epoch: 19
[ Tue Sep 27 14:54:00 2022 ] 	Mean test loss of 930 batches: 1.2990609810877871.
[ Tue Sep 27 14:54:01 2022 ] 	Top1: 63.96%
[ Tue Sep 27 14:54:01 2022 ] 	Top5: 89.20%
[ Tue Sep 27 14:54:01 2022 ] Training epoch: 20
[ Tue Sep 27 14:58:16 2022 ] 	Mean training loss: 0.8760. loss2: 0.0000. Mean training acc: 73.53%.
[ Tue Sep 27 14:58:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:58:16 2022 ] Eval epoch: 20
[ Tue Sep 27 14:59:56 2022 ] 	Mean test loss of 930 batches: 1.066121600199771.
[ Tue Sep 27 14:59:56 2022 ] 	Top1: 69.48%
[ Tue Sep 27 14:59:57 2022 ] 	Top5: 91.85%
[ Tue Sep 27 14:59:57 2022 ] Training epoch: 21
[ Tue Sep 27 15:04:11 2022 ] 	Mean training loss: 0.8801. loss2: 0.0000. Mean training acc: 73.60%.
[ Tue Sep 27 15:04:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:04:11 2022 ] Eval epoch: 21
[ Tue Sep 27 15:05:52 2022 ] 	Mean test loss of 930 batches: 1.2385149634973978.
[ Tue Sep 27 15:05:52 2022 ] 	Top1: 66.01%
[ Tue Sep 27 15:05:53 2022 ] 	Top5: 90.06%
[ Tue Sep 27 15:05:53 2022 ] Training epoch: 22
[ Tue Sep 27 15:10:07 2022 ] 	Mean training loss: 0.8755. loss2: 0.0000. Mean training acc: 73.46%.
[ Tue Sep 27 15:10:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:10:07 2022 ] Eval epoch: 22
[ Tue Sep 27 15:11:48 2022 ] 	Mean test loss of 930 batches: 1.259953331402553.
[ Tue Sep 27 15:11:48 2022 ] 	Top1: 64.83%
[ Tue Sep 27 15:11:49 2022 ] 	Top5: 90.43%
[ Tue Sep 27 15:11:49 2022 ] Training epoch: 23
[ Tue Sep 27 15:16:05 2022 ] 	Mean training loss: 0.8649. loss2: 0.0000. Mean training acc: 73.86%.
[ Tue Sep 27 15:16:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:16:05 2022 ] Eval epoch: 23
[ Tue Sep 27 15:17:45 2022 ] 	Mean test loss of 930 batches: 1.0641559412722947.
[ Tue Sep 27 15:17:45 2022 ] 	Top1: 68.83%
[ Tue Sep 27 15:17:46 2022 ] 	Top5: 92.26%
[ Tue Sep 27 15:17:46 2022 ] Training epoch: 24
[ Tue Sep 27 15:22:01 2022 ] 	Mean training loss: 0.8584. loss2: 0.0000. Mean training acc: 74.01%.
[ Tue Sep 27 15:22:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:22:01 2022 ] Eval epoch: 24
[ Tue Sep 27 15:23:41 2022 ] 	Mean test loss of 930 batches: 1.3959748730864576.
[ Tue Sep 27 15:23:42 2022 ] 	Top1: 62.52%
[ Tue Sep 27 15:23:42 2022 ] 	Top5: 88.16%
[ Tue Sep 27 15:23:42 2022 ] Training epoch: 25
[ Tue Sep 27 15:27:57 2022 ] 	Mean training loss: 0.8548. loss2: 0.0000. Mean training acc: 74.00%.
[ Tue Sep 27 15:27:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:27:57 2022 ] Eval epoch: 25
[ Tue Sep 27 15:29:37 2022 ] 	Mean test loss of 930 batches: 1.0520285649966168.
[ Tue Sep 27 15:29:38 2022 ] 	Top1: 69.68%
[ Tue Sep 27 15:29:38 2022 ] 	Top5: 92.25%
[ Tue Sep 27 15:29:38 2022 ] Training epoch: 26
[ Tue Sep 27 15:33:53 2022 ] 	Mean training loss: 0.8484. loss2: 0.0000. Mean training acc: 74.27%.
[ Tue Sep 27 15:33:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:33:53 2022 ] Eval epoch: 26
[ Tue Sep 27 15:35:34 2022 ] 	Mean test loss of 930 batches: 1.27792766171117.
[ Tue Sep 27 15:35:35 2022 ] 	Top1: 64.27%
[ Tue Sep 27 15:35:35 2022 ] 	Top5: 89.65%
[ Tue Sep 27 15:35:35 2022 ] Training epoch: 27
[ Tue Sep 27 15:39:50 2022 ] 	Mean training loss: 0.8469. loss2: 0.0000. Mean training acc: 74.32%.
[ Tue Sep 27 15:39:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:39:50 2022 ] Eval epoch: 27
[ Tue Sep 27 15:41:30 2022 ] 	Mean test loss of 930 batches: 1.1326382973501758.
[ Tue Sep 27 15:41:30 2022 ] 	Top1: 67.43%
[ Tue Sep 27 15:41:31 2022 ] 	Top5: 91.27%
[ Tue Sep 27 15:41:31 2022 ] Training epoch: 28
[ Tue Sep 27 15:45:46 2022 ] 	Mean training loss: 0.8464. loss2: 0.0000. Mean training acc: 74.50%.
[ Tue Sep 27 15:45:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:45:46 2022 ] Eval epoch: 28
[ Tue Sep 27 15:47:26 2022 ] 	Mean test loss of 930 batches: 1.0751107266513251.
[ Tue Sep 27 15:47:27 2022 ] 	Top1: 69.23%
[ Tue Sep 27 15:47:27 2022 ] 	Top5: 92.43%
[ Tue Sep 27 15:47:27 2022 ] Training epoch: 29
[ Tue Sep 27 15:51:42 2022 ] 	Mean training loss: 0.8410. loss2: 0.0000. Mean training acc: 74.63%.
[ Tue Sep 27 15:51:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:51:42 2022 ] Eval epoch: 29
[ Tue Sep 27 15:53:23 2022 ] 	Mean test loss of 930 batches: 1.0583091922665155.
[ Tue Sep 27 15:53:23 2022 ] 	Top1: 69.49%
[ Tue Sep 27 15:53:24 2022 ] 	Top5: 92.59%
[ Tue Sep 27 15:53:24 2022 ] Training epoch: 30
[ Tue Sep 27 15:57:39 2022 ] 	Mean training loss: 0.8361. loss2: 0.0000. Mean training acc: 74.68%.
[ Tue Sep 27 15:57:39 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:57:39 2022 ] Eval epoch: 30
[ Tue Sep 27 15:59:19 2022 ] 	Mean test loss of 930 batches: 1.2947369158267974.
[ Tue Sep 27 15:59:20 2022 ] 	Top1: 64.04%
[ Tue Sep 27 15:59:21 2022 ] 	Top5: 90.09%
[ Tue Sep 27 15:59:21 2022 ] Training epoch: 31
[ Tue Sep 27 16:03:36 2022 ] 	Mean training loss: 0.8302. loss2: 0.0000. Mean training acc: 74.87%.
[ Tue Sep 27 16:03:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:03:36 2022 ] Eval epoch: 31
[ Tue Sep 27 16:05:16 2022 ] 	Mean test loss of 930 batches: 1.075584150129749.
[ Tue Sep 27 16:05:17 2022 ] 	Top1: 69.78%
[ Tue Sep 27 16:05:17 2022 ] 	Top5: 91.44%
[ Tue Sep 27 16:05:17 2022 ] Training epoch: 32
[ Tue Sep 27 16:09:32 2022 ] 	Mean training loss: 0.8322. loss2: 0.0000. Mean training acc: 74.86%.
[ Tue Sep 27 16:09:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:09:32 2022 ] Eval epoch: 32
[ Tue Sep 27 16:11:12 2022 ] 	Mean test loss of 930 batches: 1.0248634281017448.
[ Tue Sep 27 16:11:13 2022 ] 	Top1: 70.35%
[ Tue Sep 27 16:11:13 2022 ] 	Top5: 92.39%
[ Tue Sep 27 16:11:13 2022 ] Training epoch: 33
[ Tue Sep 27 16:15:28 2022 ] 	Mean training loss: 0.8181. loss2: 0.0000. Mean training acc: 75.30%.
[ Tue Sep 27 16:15:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:15:28 2022 ] Eval epoch: 33
[ Tue Sep 27 16:17:08 2022 ] 	Mean test loss of 930 batches: 1.1596981035124871.
[ Tue Sep 27 16:17:09 2022 ] 	Top1: 67.29%
[ Tue Sep 27 16:17:09 2022 ] 	Top5: 90.83%
[ Tue Sep 27 16:17:09 2022 ] Training epoch: 34
[ Tue Sep 27 16:21:24 2022 ] 	Mean training loss: 0.8280. loss2: 0.0000. Mean training acc: 74.98%.
[ Tue Sep 27 16:21:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:21:24 2022 ] Eval epoch: 34
[ Tue Sep 27 16:23:05 2022 ] 	Mean test loss of 930 batches: 1.1769853012536162.
[ Tue Sep 27 16:23:05 2022 ] 	Top1: 66.82%
[ Tue Sep 27 16:23:06 2022 ] 	Top5: 90.85%
[ Tue Sep 27 16:23:06 2022 ] Training epoch: 35
[ Tue Sep 27 16:27:21 2022 ] 	Mean training loss: 0.8262. loss2: 0.0000. Mean training acc: 75.11%.
[ Tue Sep 27 16:27:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:27:21 2022 ] Eval epoch: 35
[ Tue Sep 27 16:29:02 2022 ] 	Mean test loss of 930 batches: 1.0478992586655.
[ Tue Sep 27 16:29:02 2022 ] 	Top1: 70.37%
[ Tue Sep 27 16:29:03 2022 ] 	Top5: 92.40%
[ Tue Sep 27 16:29:03 2022 ] Training epoch: 36
[ Tue Sep 27 16:33:18 2022 ] 	Mean training loss: 0.8116. loss2: 0.0000. Mean training acc: 75.57%.
[ Tue Sep 27 16:33:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:33:18 2022 ] Eval epoch: 36
[ Tue Sep 27 16:34:59 2022 ] 	Mean test loss of 930 batches: 1.0222220502232993.
[ Tue Sep 27 16:34:59 2022 ] 	Top1: 70.04%
[ Tue Sep 27 16:35:00 2022 ] 	Top5: 92.61%
[ Tue Sep 27 16:35:00 2022 ] Training epoch: 37
[ Tue Sep 27 16:39:14 2022 ] 	Mean training loss: 0.8114. loss2: 0.0000. Mean training acc: 75.58%.
[ Tue Sep 27 16:39:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:39:14 2022 ] Eval epoch: 37
[ Tue Sep 27 16:40:55 2022 ] 	Mean test loss of 930 batches: 1.0592582929358687.
[ Tue Sep 27 16:40:55 2022 ] 	Top1: 69.90%
[ Tue Sep 27 16:40:56 2022 ] 	Top5: 91.58%
[ Tue Sep 27 16:40:56 2022 ] Training epoch: 38
[ Tue Sep 27 16:45:10 2022 ] 	Mean training loss: 0.8200. loss2: 0.0000. Mean training acc: 75.24%.
[ Tue Sep 27 16:45:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:45:11 2022 ] Eval epoch: 38
[ Tue Sep 27 16:46:51 2022 ] 	Mean test loss of 930 batches: 1.0325724480773812.
[ Tue Sep 27 16:46:52 2022 ] 	Top1: 70.71%
[ Tue Sep 27 16:46:52 2022 ] 	Top5: 92.13%
[ Tue Sep 27 16:46:52 2022 ] Training epoch: 39
[ Tue Sep 27 16:51:07 2022 ] 	Mean training loss: 0.8086. loss2: 0.0000. Mean training acc: 75.59%.
[ Tue Sep 27 16:51:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:51:07 2022 ] Eval epoch: 39
[ Tue Sep 27 16:52:47 2022 ] 	Mean test loss of 930 batches: 1.0355521731479194.
[ Tue Sep 27 16:52:48 2022 ] 	Top1: 69.77%
[ Tue Sep 27 16:52:48 2022 ] 	Top5: 92.52%
[ Tue Sep 27 16:52:48 2022 ] Training epoch: 40
[ Tue Sep 27 16:57:03 2022 ] 	Mean training loss: 0.8068. loss2: 0.0000. Mean training acc: 75.55%.
[ Tue Sep 27 16:57:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:57:03 2022 ] Eval epoch: 40
[ Tue Sep 27 16:58:44 2022 ] 	Mean test loss of 930 batches: 0.984352010103964.
[ Tue Sep 27 16:58:44 2022 ] 	Top1: 71.22%
[ Tue Sep 27 16:58:45 2022 ] 	Top5: 93.09%
[ Tue Sep 27 16:58:45 2022 ] Training epoch: 41
[ Tue Sep 27 17:03:00 2022 ] 	Mean training loss: 0.8039. loss2: 0.0000. Mean training acc: 75.66%.
[ Tue Sep 27 17:03:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 17:03:00 2022 ] Eval epoch: 41
[ Tue Sep 27 17:04:40 2022 ] 	Mean test loss of 930 batches: 0.9974825005377492.
[ Tue Sep 27 17:04:41 2022 ] 	Top1: 71.33%
[ Tue Sep 27 17:04:41 2022 ] 	Top5: 92.69%
[ Tue Sep 27 17:04:41 2022 ] Training epoch: 42
[ Tue Sep 27 17:08:56 2022 ] 	Mean training loss: 0.8050. loss2: 0.0000. Mean training acc: 75.53%.
[ Tue Sep 27 17:08:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 17:08:56 2022 ] Eval epoch: 42
[ Tue Sep 27 17:10:37 2022 ] 	Mean test loss of 930 batches: 1.0759112593627744.
[ Tue Sep 27 17:10:37 2022 ] 	Top1: 68.84%
[ Tue Sep 27 17:10:38 2022 ] 	Top5: 92.45%
[ Tue Sep 27 17:10:38 2022 ] Training epoch: 43
[ Tue Sep 27 17:14:52 2022 ] 	Mean training loss: 0.7998. loss2: 0.0000. Mean training acc: 75.72%.
[ Tue Sep 27 17:14:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 17:14:52 2022 ] Eval epoch: 43
[ Tue Sep 27 17:16:33 2022 ] 	Mean test loss of 930 batches: 1.0020613496342012.
[ Tue Sep 27 17:16:33 2022 ] 	Top1: 70.67%
[ Tue Sep 27 17:16:34 2022 ] 	Top5: 92.89%
[ Tue Sep 27 17:16:34 2022 ] Training epoch: 44
[ Tue Sep 27 17:20:49 2022 ] 	Mean training loss: 0.8006. loss2: 0.0000. Mean training acc: 76.00%.
[ Tue Sep 27 17:20:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 17:20:49 2022 ] Eval epoch: 44
[ Tue Sep 27 17:22:30 2022 ] 	Mean test loss of 930 batches: 1.032750658514679.
[ Tue Sep 27 17:22:30 2022 ] 	Top1: 69.70%
[ Tue Sep 27 17:22:31 2022 ] 	Top5: 92.84%
[ Tue Sep 27 17:22:31 2022 ] Training epoch: 45
[ Tue Sep 27 17:26:46 2022 ] 	Mean training loss: 0.8037. loss2: 0.0000. Mean training acc: 75.60%.
[ Tue Sep 27 17:26:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:26:46 2022 ] Eval epoch: 45
[ Tue Sep 27 17:28:26 2022 ] 	Mean test loss of 930 batches: 1.122485420011705.
[ Tue Sep 27 17:28:27 2022 ] 	Top1: 68.60%
[ Tue Sep 27 17:28:27 2022 ] 	Top5: 91.47%
[ Tue Sep 27 17:28:27 2022 ] Training epoch: 46
[ Tue Sep 27 17:32:42 2022 ] 	Mean training loss: 0.8009. loss2: 0.0000. Mean training acc: 75.94%.
[ Tue Sep 27 17:32:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 17:32:42 2022 ] Eval epoch: 46
[ Tue Sep 27 17:34:22 2022 ] 	Mean test loss of 930 batches: 1.099072430723457.
[ Tue Sep 27 17:34:23 2022 ] 	Top1: 67.92%
[ Tue Sep 27 17:34:23 2022 ] 	Top5: 92.13%
[ Tue Sep 27 17:34:23 2022 ] Training epoch: 47
[ Tue Sep 27 17:38:38 2022 ] 	Mean training loss: 0.8001. loss2: 0.0000. Mean training acc: 75.72%.
[ Tue Sep 27 17:38:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 17:38:38 2022 ] Eval epoch: 47
[ Tue Sep 27 17:40:19 2022 ] 	Mean test loss of 930 batches: 1.0967616818925385.
[ Tue Sep 27 17:40:19 2022 ] 	Top1: 68.85%
[ Tue Sep 27 17:40:20 2022 ] 	Top5: 92.53%
[ Tue Sep 27 17:40:20 2022 ] Training epoch: 48
[ Tue Sep 27 17:44:35 2022 ] 	Mean training loss: 0.7952. loss2: 0.0000. Mean training acc: 76.01%.
[ Tue Sep 27 17:44:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 17:44:35 2022 ] Eval epoch: 48
[ Tue Sep 27 17:46:16 2022 ] 	Mean test loss of 930 batches: 1.0037561301262148.
[ Tue Sep 27 17:46:16 2022 ] 	Top1: 71.46%
[ Tue Sep 27 17:46:17 2022 ] 	Top5: 92.21%
[ Tue Sep 27 17:46:17 2022 ] Training epoch: 49
[ Tue Sep 27 17:50:32 2022 ] 	Mean training loss: 0.7902. loss2: 0.0000. Mean training acc: 75.99%.
[ Tue Sep 27 17:50:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 17:50:32 2022 ] Eval epoch: 49
[ Tue Sep 27 17:52:12 2022 ] 	Mean test loss of 930 batches: 1.1831259056124637.
[ Tue Sep 27 17:52:13 2022 ] 	Top1: 67.09%
[ Tue Sep 27 17:52:13 2022 ] 	Top5: 90.28%
[ Tue Sep 27 17:52:13 2022 ] Training epoch: 50
[ Tue Sep 27 17:56:28 2022 ] 	Mean training loss: 0.7971. loss2: 0.0000. Mean training acc: 75.78%.
[ Tue Sep 27 17:56:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 17:56:28 2022 ] Eval epoch: 50
[ Tue Sep 27 17:58:08 2022 ] 	Mean test loss of 930 batches: 1.0603619407902483.
[ Tue Sep 27 17:58:09 2022 ] 	Top1: 69.25%
[ Tue Sep 27 17:58:09 2022 ] 	Top5: 92.23%
[ Tue Sep 27 17:58:09 2022 ] Training epoch: 51
[ Tue Sep 27 18:02:24 2022 ] 	Mean training loss: 0.7909. loss2: 0.0000. Mean training acc: 76.01%.
[ Tue Sep 27 18:02:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 18:02:24 2022 ] Eval epoch: 51
[ Tue Sep 27 18:04:04 2022 ] 	Mean test loss of 930 batches: 1.051882646353014.
[ Tue Sep 27 18:04:05 2022 ] 	Top1: 70.01%
[ Tue Sep 27 18:04:05 2022 ] 	Top5: 92.10%
[ Tue Sep 27 18:04:05 2022 ] Training epoch: 52
[ Tue Sep 27 18:08:20 2022 ] 	Mean training loss: 0.7906. loss2: 0.0000. Mean training acc: 76.11%.
[ Tue Sep 27 18:08:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 18:08:20 2022 ] Eval epoch: 52
[ Tue Sep 27 18:10:00 2022 ] 	Mean test loss of 930 batches: 1.1072646717230479.
[ Tue Sep 27 18:10:01 2022 ] 	Top1: 68.13%
[ Tue Sep 27 18:10:02 2022 ] 	Top5: 91.87%
[ Tue Sep 27 18:10:02 2022 ] Training epoch: 53
[ Tue Sep 27 18:14:16 2022 ] 	Mean training loss: 0.7871. loss2: 0.0000. Mean training acc: 76.03%.
[ Tue Sep 27 18:14:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 18:14:16 2022 ] Eval epoch: 53
[ Tue Sep 27 18:15:57 2022 ] 	Mean test loss of 930 batches: 0.9666745348483003.
[ Tue Sep 27 18:15:57 2022 ] 	Top1: 71.91%
[ Tue Sep 27 18:15:58 2022 ] 	Top5: 93.28%
[ Tue Sep 27 18:15:58 2022 ] Training epoch: 54
[ Tue Sep 27 18:20:12 2022 ] 	Mean training loss: 0.7949. loss2: 0.0000. Mean training acc: 75.79%.
[ Tue Sep 27 18:20:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 18:20:12 2022 ] Eval epoch: 54
[ Tue Sep 27 18:21:53 2022 ] 	Mean test loss of 930 batches: 1.120998340396471.
[ Tue Sep 27 18:21:53 2022 ] 	Top1: 67.74%
[ Tue Sep 27 18:21:54 2022 ] 	Top5: 91.21%
[ Tue Sep 27 18:21:54 2022 ] Training epoch: 55
[ Tue Sep 27 18:26:08 2022 ] 	Mean training loss: 0.7900. loss2: 0.0000. Mean training acc: 76.05%.
[ Tue Sep 27 18:26:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 18:26:09 2022 ] Eval epoch: 55
[ Tue Sep 27 18:27:49 2022 ] 	Mean test loss of 930 batches: 1.0775349944509485.
[ Tue Sep 27 18:27:50 2022 ] 	Top1: 69.42%
[ Tue Sep 27 18:27:50 2022 ] 	Top5: 91.79%
[ Tue Sep 27 18:27:50 2022 ] Training epoch: 56
[ Tue Sep 27 18:32:05 2022 ] 	Mean training loss: 0.7863. loss2: 0.0000. Mean training acc: 76.06%.
[ Tue Sep 27 18:32:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 18:32:05 2022 ] Eval epoch: 56
[ Tue Sep 27 18:33:46 2022 ] 	Mean test loss of 930 batches: 1.0080288692347465.
[ Tue Sep 27 18:33:46 2022 ] 	Top1: 71.06%
[ Tue Sep 27 18:33:47 2022 ] 	Top5: 93.03%
[ Tue Sep 27 18:33:47 2022 ] Training epoch: 57
[ Tue Sep 27 18:38:02 2022 ] 	Mean training loss: 0.7805. loss2: 0.0000. Mean training acc: 76.36%.
[ Tue Sep 27 18:38:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:38:02 2022 ] Eval epoch: 57
[ Tue Sep 27 18:39:42 2022 ] 	Mean test loss of 930 batches: 1.012050246134881.
[ Tue Sep 27 18:39:42 2022 ] 	Top1: 71.10%
[ Tue Sep 27 18:39:43 2022 ] 	Top5: 92.74%
[ Tue Sep 27 18:39:43 2022 ] Training epoch: 58
[ Tue Sep 27 18:43:58 2022 ] 	Mean training loss: 0.7831. loss2: 0.0000. Mean training acc: 76.22%.
[ Tue Sep 27 18:43:58 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:43:58 2022 ] Eval epoch: 58
[ Tue Sep 27 18:45:38 2022 ] 	Mean test loss of 930 batches: 0.9714338163214346.
[ Tue Sep 27 18:45:39 2022 ] 	Top1: 71.70%
[ Tue Sep 27 18:45:39 2022 ] 	Top5: 93.16%
[ Tue Sep 27 18:45:39 2022 ] Training epoch: 59
[ Tue Sep 27 18:49:55 2022 ] 	Mean training loss: 0.7860. loss2: 0.0000. Mean training acc: 76.24%.
[ Tue Sep 27 18:49:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 18:49:55 2022 ] Eval epoch: 59
[ Tue Sep 27 18:51:35 2022 ] 	Mean test loss of 930 batches: 0.9558472197542909.
[ Tue Sep 27 18:51:36 2022 ] 	Top1: 72.59%
[ Tue Sep 27 18:51:36 2022 ] 	Top5: 93.68%
[ Tue Sep 27 18:51:36 2022 ] Training epoch: 60
[ Tue Sep 27 18:55:51 2022 ] 	Mean training loss: 0.7839. loss2: 0.0000. Mean training acc: 76.18%.
[ Tue Sep 27 18:55:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:55:51 2022 ] Eval epoch: 60
[ Tue Sep 27 18:57:32 2022 ] 	Mean test loss of 930 batches: 1.0664727526326334.
[ Tue Sep 27 18:57:32 2022 ] 	Top1: 69.60%
[ Tue Sep 27 18:57:33 2022 ] 	Top5: 92.44%
[ Tue Sep 27 18:57:33 2022 ] Training epoch: 61
[ Tue Sep 27 19:01:47 2022 ] 	Mean training loss: 0.7825. loss2: 0.0000. Mean training acc: 76.35%.
[ Tue Sep 27 19:01:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:01:47 2022 ] Eval epoch: 61
[ Tue Sep 27 19:03:27 2022 ] 	Mean test loss of 930 batches: 1.077692869145383.
[ Tue Sep 27 19:03:28 2022 ] 	Top1: 68.55%
[ Tue Sep 27 19:03:29 2022 ] 	Top5: 92.52%
[ Tue Sep 27 19:03:29 2022 ] Training epoch: 62
[ Tue Sep 27 19:07:43 2022 ] 	Mean training loss: 0.7865. loss2: 0.0000. Mean training acc: 76.06%.
[ Tue Sep 27 19:07:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:07:43 2022 ] Eval epoch: 62
[ Tue Sep 27 19:09:24 2022 ] 	Mean test loss of 930 batches: 1.0823400421809124.
[ Tue Sep 27 19:09:24 2022 ] 	Top1: 68.87%
[ Tue Sep 27 19:09:25 2022 ] 	Top5: 91.61%
[ Tue Sep 27 19:09:25 2022 ] Training epoch: 63
[ Tue Sep 27 19:13:40 2022 ] 	Mean training loss: 0.7781. loss2: 0.0000. Mean training acc: 76.53%.
[ Tue Sep 27 19:13:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:13:40 2022 ] Eval epoch: 63
[ Tue Sep 27 19:15:20 2022 ] 	Mean test loss of 930 batches: 1.0465020738301738.
[ Tue Sep 27 19:15:20 2022 ] 	Top1: 70.13%
[ Tue Sep 27 19:15:21 2022 ] 	Top5: 92.29%
[ Tue Sep 27 19:15:21 2022 ] Training epoch: 64
[ Tue Sep 27 19:19:35 2022 ] 	Mean training loss: 0.7854. loss2: 0.0000. Mean training acc: 76.29%.
[ Tue Sep 27 19:19:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:19:36 2022 ] Eval epoch: 64
[ Tue Sep 27 19:21:16 2022 ] 	Mean test loss of 930 batches: 1.1052025106965855.
[ Tue Sep 27 19:21:16 2022 ] 	Top1: 67.94%
[ Tue Sep 27 19:21:17 2022 ] 	Top5: 92.11%
[ Tue Sep 27 19:21:17 2022 ] Training epoch: 65
[ Tue Sep 27 19:25:32 2022 ] 	Mean training loss: 0.7846. loss2: 0.0000. Mean training acc: 76.20%.
[ Tue Sep 27 19:25:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:25:32 2022 ] Eval epoch: 65
[ Tue Sep 27 19:27:12 2022 ] 	Mean test loss of 930 batches: 1.0654572495209274.
[ Tue Sep 27 19:27:12 2022 ] 	Top1: 69.66%
[ Tue Sep 27 19:27:13 2022 ] 	Top5: 92.13%
[ Tue Sep 27 19:27:13 2022 ] Training epoch: 66
[ Tue Sep 27 19:31:28 2022 ] 	Mean training loss: 0.7818. loss2: 0.0000. Mean training acc: 76.25%.
[ Tue Sep 27 19:31:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:31:28 2022 ] Eval epoch: 66
[ Tue Sep 27 19:33:08 2022 ] 	Mean test loss of 930 batches: 1.0081475170389298.
[ Tue Sep 27 19:33:09 2022 ] 	Top1: 71.29%
[ Tue Sep 27 19:33:09 2022 ] 	Top5: 92.86%
[ Tue Sep 27 19:33:10 2022 ] Training epoch: 67
[ Tue Sep 27 19:37:24 2022 ] 	Mean training loss: 0.7811. loss2: 0.0000. Mean training acc: 76.18%.
[ Tue Sep 27 19:37:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:37:24 2022 ] Eval epoch: 67
[ Tue Sep 27 19:39:04 2022 ] 	Mean test loss of 930 batches: 0.9731782914810283.
[ Tue Sep 27 19:39:05 2022 ] 	Top1: 71.44%
[ Tue Sep 27 19:39:05 2022 ] 	Top5: 93.46%
[ Tue Sep 27 19:39:05 2022 ] Training epoch: 68
[ Tue Sep 27 19:43:21 2022 ] 	Mean training loss: 0.7873. loss2: 0.0000. Mean training acc: 75.99%.
[ Tue Sep 27 19:43:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:43:21 2022 ] Eval epoch: 68
[ Tue Sep 27 19:45:01 2022 ] 	Mean test loss of 930 batches: 0.9793796167578749.
[ Tue Sep 27 19:45:02 2022 ] 	Top1: 71.75%
[ Tue Sep 27 19:45:02 2022 ] 	Top5: 92.84%
[ Tue Sep 27 19:45:02 2022 ] Training epoch: 69
[ Tue Sep 27 19:49:17 2022 ] 	Mean training loss: 0.7836. loss2: 0.0000. Mean training acc: 76.17%.
[ Tue Sep 27 19:49:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:49:17 2022 ] Eval epoch: 69
[ Tue Sep 27 19:50:57 2022 ] 	Mean test loss of 930 batches: 1.098571327008227.
[ Tue Sep 27 19:50:58 2022 ] 	Top1: 68.53%
[ Tue Sep 27 19:50:58 2022 ] 	Top5: 91.93%
[ Tue Sep 27 19:50:58 2022 ] Training epoch: 70
[ Tue Sep 27 19:55:13 2022 ] 	Mean training loss: 0.7883. loss2: 0.0000. Mean training acc: 76.21%.
[ Tue Sep 27 19:55:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:55:13 2022 ] Eval epoch: 70
[ Tue Sep 27 19:56:53 2022 ] 	Mean test loss of 930 batches: 1.0629225480620579.
[ Tue Sep 27 19:56:54 2022 ] 	Top1: 70.14%
[ Tue Sep 27 19:56:54 2022 ] 	Top5: 91.83%
[ Tue Sep 27 19:56:54 2022 ] Training epoch: 71
[ Tue Sep 27 20:01:09 2022 ] 	Mean training loss: 0.7841. loss2: 0.0000. Mean training acc: 76.11%.
[ Tue Sep 27 20:01:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 20:01:09 2022 ] Eval epoch: 71
[ Tue Sep 27 20:02:49 2022 ] 	Mean test loss of 930 batches: 1.0445361620956852.
[ Tue Sep 27 20:02:50 2022 ] 	Top1: 69.43%
[ Tue Sep 27 20:02:50 2022 ] 	Top5: 92.97%
[ Tue Sep 27 20:02:50 2022 ] Training epoch: 72
[ Tue Sep 27 20:07:05 2022 ] 	Mean training loss: 0.7815. loss2: 0.0000. Mean training acc: 76.43%.
[ Tue Sep 27 20:07:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 20:07:05 2022 ] Eval epoch: 72
[ Tue Sep 27 20:08:46 2022 ] 	Mean test loss of 930 batches: 1.0398233160536776.
[ Tue Sep 27 20:08:46 2022 ] 	Top1: 70.33%
[ Tue Sep 27 20:08:47 2022 ] 	Top5: 92.07%
[ Tue Sep 27 20:08:47 2022 ] Training epoch: 73
[ Tue Sep 27 20:13:01 2022 ] 	Mean training loss: 0.7793. loss2: 0.0000. Mean training acc: 76.30%.
[ Tue Sep 27 20:13:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 20:13:01 2022 ] Eval epoch: 73
[ Tue Sep 27 20:14:42 2022 ] 	Mean test loss of 930 batches: 1.0940428206036168.
[ Tue Sep 27 20:14:43 2022 ] 	Top1: 69.29%
[ Tue Sep 27 20:14:43 2022 ] 	Top5: 92.35%
[ Tue Sep 27 20:14:43 2022 ] Training epoch: 74
[ Tue Sep 27 20:18:58 2022 ] 	Mean training loss: 0.7855. loss2: 0.0000. Mean training acc: 76.17%.
[ Tue Sep 27 20:18:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 20:18:58 2022 ] Eval epoch: 74
[ Tue Sep 27 20:20:38 2022 ] 	Mean test loss of 930 batches: 0.9941329351355953.
[ Tue Sep 27 20:20:39 2022 ] 	Top1: 70.89%
[ Tue Sep 27 20:20:40 2022 ] 	Top5: 92.94%
[ Tue Sep 27 20:20:40 2022 ] Training epoch: 75
[ Tue Sep 27 20:24:54 2022 ] 	Mean training loss: 0.7828. loss2: 0.0000. Mean training acc: 76.17%.
[ Tue Sep 27 20:24:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 20:24:54 2022 ] Eval epoch: 75
[ Tue Sep 27 20:26:35 2022 ] 	Mean test loss of 930 batches: 0.924180136845317.
[ Tue Sep 27 20:26:35 2022 ] 	Top1: 73.26%
[ Tue Sep 27 20:26:36 2022 ] 	Top5: 93.63%
[ Tue Sep 27 20:26:36 2022 ] Training epoch: 76
[ Tue Sep 27 20:30:50 2022 ] 	Mean training loss: 0.7778. loss2: 0.0000. Mean training acc: 76.50%.
[ Tue Sep 27 20:30:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:30:51 2022 ] Eval epoch: 76
[ Tue Sep 27 20:32:31 2022 ] 	Mean test loss of 930 batches: 0.9230145779348189.
[ Tue Sep 27 20:32:32 2022 ] 	Top1: 72.74%
[ Tue Sep 27 20:32:32 2022 ] 	Top5: 93.83%
[ Tue Sep 27 20:32:32 2022 ] Training epoch: 77
[ Tue Sep 27 20:36:47 2022 ] 	Mean training loss: 0.7815. loss2: 0.0000. Mean training acc: 76.33%.
[ Tue Sep 27 20:36:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:36:47 2022 ] Eval epoch: 77
[ Tue Sep 27 20:38:27 2022 ] 	Mean test loss of 930 batches: 1.1053489188673675.
[ Tue Sep 27 20:38:28 2022 ] 	Top1: 68.36%
[ Tue Sep 27 20:38:28 2022 ] 	Top5: 91.55%
[ Tue Sep 27 20:38:28 2022 ] Training epoch: 78
[ Tue Sep 27 20:42:43 2022 ] 	Mean training loss: 0.7774. loss2: 0.0000. Mean training acc: 76.20%.
[ Tue Sep 27 20:42:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 20:42:43 2022 ] Eval epoch: 78
[ Tue Sep 27 20:44:23 2022 ] 	Mean test loss of 930 batches: 1.0713555210059689.
[ Tue Sep 27 20:44:24 2022 ] 	Top1: 69.71%
[ Tue Sep 27 20:44:24 2022 ] 	Top5: 91.58%
[ Tue Sep 27 20:44:24 2022 ] Training epoch: 79
[ Tue Sep 27 20:48:39 2022 ] 	Mean training loss: 0.7826. loss2: 0.0000. Mean training acc: 76.22%.
[ Tue Sep 27 20:48:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 20:48:39 2022 ] Eval epoch: 79
[ Tue Sep 27 20:50:20 2022 ] 	Mean test loss of 930 batches: 1.0499287895617946.
[ Tue Sep 27 20:50:20 2022 ] 	Top1: 70.38%
[ Tue Sep 27 20:50:21 2022 ] 	Top5: 92.38%
[ Tue Sep 27 20:50:21 2022 ] Training epoch: 80
[ Tue Sep 27 20:54:35 2022 ] 	Mean training loss: 0.7793. loss2: 0.0000. Mean training acc: 76.44%.
[ Tue Sep 27 20:54:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 20:54:36 2022 ] Eval epoch: 80
[ Tue Sep 27 20:56:16 2022 ] 	Mean test loss of 930 batches: 1.0699565092722574.
[ Tue Sep 27 20:56:17 2022 ] 	Top1: 69.68%
[ Tue Sep 27 20:56:17 2022 ] 	Top5: 92.17%
[ Tue Sep 27 20:56:17 2022 ] Training epoch: 81
[ Tue Sep 27 21:00:32 2022 ] 	Mean training loss: 0.7768. loss2: 0.0000. Mean training acc: 76.48%.
[ Tue Sep 27 21:00:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:00:33 2022 ] Eval epoch: 81
[ Tue Sep 27 21:02:13 2022 ] 	Mean test loss of 930 batches: 1.050460549756404.
[ Tue Sep 27 21:02:13 2022 ] 	Top1: 70.61%
[ Tue Sep 27 21:02:14 2022 ] 	Top5: 91.41%
[ Tue Sep 27 21:02:14 2022 ] Training epoch: 82
[ Tue Sep 27 21:06:28 2022 ] 	Mean training loss: 0.7774. loss2: 0.0000. Mean training acc: 76.25%.
[ Tue Sep 27 21:06:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:06:28 2022 ] Eval epoch: 82
[ Tue Sep 27 21:08:09 2022 ] 	Mean test loss of 930 batches: 1.1275162402340162.
[ Tue Sep 27 21:08:09 2022 ] 	Top1: 68.60%
[ Tue Sep 27 21:08:10 2022 ] 	Top5: 91.33%
[ Tue Sep 27 21:08:10 2022 ] Training epoch: 83
[ Tue Sep 27 21:12:24 2022 ] 	Mean training loss: 0.7710. loss2: 0.0000. Mean training acc: 76.59%.
[ Tue Sep 27 21:12:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:12:24 2022 ] Eval epoch: 83
[ Tue Sep 27 21:14:05 2022 ] 	Mean test loss of 930 batches: 1.0207053912903672.
[ Tue Sep 27 21:14:05 2022 ] 	Top1: 70.40%
[ Tue Sep 27 21:14:06 2022 ] 	Top5: 92.47%
[ Tue Sep 27 21:14:06 2022 ] Training epoch: 84
[ Tue Sep 27 21:18:21 2022 ] 	Mean training loss: 0.7808. loss2: 0.0000. Mean training acc: 76.15%.
[ Tue Sep 27 21:18:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:18:21 2022 ] Eval epoch: 84
[ Tue Sep 27 21:20:01 2022 ] 	Mean test loss of 930 batches: 1.0078036706133555.
[ Tue Sep 27 21:20:01 2022 ] 	Top1: 71.54%
[ Tue Sep 27 21:20:02 2022 ] 	Top5: 92.94%
[ Tue Sep 27 21:20:02 2022 ] Training epoch: 85
[ Tue Sep 27 21:24:17 2022 ] 	Mean training loss: 0.7737. loss2: 0.0000. Mean training acc: 76.67%.
[ Tue Sep 27 21:24:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:24:17 2022 ] Eval epoch: 85
[ Tue Sep 27 21:25:57 2022 ] 	Mean test loss of 930 batches: 1.0026455140242012.
[ Tue Sep 27 21:25:58 2022 ] 	Top1: 70.89%
[ Tue Sep 27 21:25:58 2022 ] 	Top5: 92.78%
[ Tue Sep 27 21:25:58 2022 ] Training epoch: 86
[ Tue Sep 27 21:30:13 2022 ] 	Mean training loss: 0.7789. loss2: 0.0000. Mean training acc: 76.39%.
[ Tue Sep 27 21:30:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:30:13 2022 ] Eval epoch: 86
[ Tue Sep 27 21:31:53 2022 ] 	Mean test loss of 930 batches: 1.0811779760865754.
[ Tue Sep 27 21:31:54 2022 ] 	Top1: 69.13%
[ Tue Sep 27 21:31:54 2022 ] 	Top5: 91.89%
[ Tue Sep 27 21:31:54 2022 ] Training epoch: 87
[ Tue Sep 27 21:36:09 2022 ] 	Mean training loss: 0.7801. loss2: 0.0000. Mean training acc: 76.33%.
[ Tue Sep 27 21:36:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:36:09 2022 ] Eval epoch: 87
[ Tue Sep 27 21:37:49 2022 ] 	Mean test loss of 930 batches: 1.0083267908583404.
[ Tue Sep 27 21:37:50 2022 ] 	Top1: 70.81%
[ Tue Sep 27 21:37:51 2022 ] 	Top5: 92.70%
[ Tue Sep 27 21:37:51 2022 ] Training epoch: 88
[ Tue Sep 27 21:42:05 2022 ] 	Mean training loss: 0.7781. loss2: 0.0000. Mean training acc: 76.47%.
[ Tue Sep 27 21:42:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:42:05 2022 ] Eval epoch: 88
[ Tue Sep 27 21:43:46 2022 ] 	Mean test loss of 930 batches: 1.0895089559337143.
[ Tue Sep 27 21:43:46 2022 ] 	Top1: 68.67%
[ Tue Sep 27 21:43:47 2022 ] 	Top5: 91.37%
[ Tue Sep 27 21:43:47 2022 ] Training epoch: 89
[ Tue Sep 27 21:48:01 2022 ] 	Mean training loss: 0.7757. loss2: 0.0000. Mean training acc: 76.38%.
[ Tue Sep 27 21:48:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:48:01 2022 ] Eval epoch: 89
[ Tue Sep 27 21:49:41 2022 ] 	Mean test loss of 930 batches: 1.0159461679477846.
[ Tue Sep 27 21:49:42 2022 ] 	Top1: 71.42%
[ Tue Sep 27 21:49:43 2022 ] 	Top5: 92.93%
[ Tue Sep 27 21:49:43 2022 ] Training epoch: 90
[ Tue Sep 27 21:53:57 2022 ] 	Mean training loss: 0.7749. loss2: 0.0000. Mean training acc: 76.66%.
[ Tue Sep 27 21:53:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:53:57 2022 ] Eval epoch: 90
[ Tue Sep 27 21:55:38 2022 ] 	Mean test loss of 930 batches: 1.0695914247984528.
[ Tue Sep 27 21:55:38 2022 ] 	Top1: 69.74%
[ Tue Sep 27 21:55:39 2022 ] 	Top5: 92.39%
[ Tue Sep 27 21:55:39 2022 ] Training epoch: 91
[ Tue Sep 27 21:59:54 2022 ] 	Mean training loss: 0.4497. loss2: 0.0000. Mean training acc: 86.45%.
[ Tue Sep 27 21:59:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:59:54 2022 ] Eval epoch: 91
[ Tue Sep 27 22:01:34 2022 ] 	Mean test loss of 930 batches: 0.5791640281997701.
[ Tue Sep 27 22:01:35 2022 ] 	Top1: 82.72%
[ Tue Sep 27 22:01:35 2022 ] 	Top5: 96.52%
[ Tue Sep 27 22:01:35 2022 ] Training epoch: 92
[ Tue Sep 27 22:05:50 2022 ] 	Mean training loss: 0.3607. loss2: 0.0000. Mean training acc: 89.11%.
[ Tue Sep 27 22:05:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:05:50 2022 ] Eval epoch: 92
[ Tue Sep 27 22:07:31 2022 ] 	Mean test loss of 930 batches: 0.5663392968075249.
[ Tue Sep 27 22:07:31 2022 ] 	Top1: 83.24%
[ Tue Sep 27 22:07:32 2022 ] 	Top5: 96.58%
[ Tue Sep 27 22:07:32 2022 ] Training epoch: 93
[ Tue Sep 27 22:11:47 2022 ] 	Mean training loss: 0.3237. loss2: 0.0000. Mean training acc: 90.29%.
[ Tue Sep 27 22:11:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:11:47 2022 ] Eval epoch: 93
[ Tue Sep 27 22:13:27 2022 ] 	Mean test loss of 930 batches: 0.5617310032729179.
[ Tue Sep 27 22:13:28 2022 ] 	Top1: 83.44%
[ Tue Sep 27 22:13:29 2022 ] 	Top5: 96.67%
[ Tue Sep 27 22:13:29 2022 ] Training epoch: 94
[ Tue Sep 27 22:17:44 2022 ] 	Mean training loss: 0.3020. loss2: 0.0000. Mean training acc: 90.89%.
[ Tue Sep 27 22:17:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:17:44 2022 ] Eval epoch: 94
[ Tue Sep 27 22:19:24 2022 ] 	Mean test loss of 930 batches: 0.5789132510462115.
[ Tue Sep 27 22:19:24 2022 ] 	Top1: 83.11%
[ Tue Sep 27 22:19:25 2022 ] 	Top5: 96.55%
[ Tue Sep 27 22:19:25 2022 ] Training epoch: 95
[ Tue Sep 27 22:23:40 2022 ] 	Mean training loss: 0.2789. loss2: 0.0000. Mean training acc: 91.69%.
[ Tue Sep 27 22:23:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:23:40 2022 ] Eval epoch: 95
[ Tue Sep 27 22:25:20 2022 ] 	Mean test loss of 930 batches: 0.5696692463250891.
[ Tue Sep 27 22:25:21 2022 ] 	Top1: 83.36%
[ Tue Sep 27 22:25:21 2022 ] 	Top5: 96.63%
[ Tue Sep 27 22:25:22 2022 ] Training epoch: 96
[ Tue Sep 27 22:29:37 2022 ] 	Mean training loss: 0.2626. loss2: 0.0000. Mean training acc: 92.30%.
[ Tue Sep 27 22:29:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:29:37 2022 ] Eval epoch: 96
[ Tue Sep 27 22:31:17 2022 ] 	Mean test loss of 930 batches: 0.6500387425784783.
[ Tue Sep 27 22:31:18 2022 ] 	Top1: 81.28%
[ Tue Sep 27 22:31:18 2022 ] 	Top5: 96.07%
[ Tue Sep 27 22:31:18 2022 ] Training epoch: 97
[ Tue Sep 27 22:35:34 2022 ] 	Mean training loss: 0.2478. loss2: 0.0000. Mean training acc: 92.82%.
[ Tue Sep 27 22:35:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:35:35 2022 ] Eval epoch: 97
[ Tue Sep 27 22:37:15 2022 ] 	Mean test loss of 930 batches: 0.5694740613862391.
[ Tue Sep 27 22:37:15 2022 ] 	Top1: 83.57%
[ Tue Sep 27 22:37:16 2022 ] 	Top5: 96.70%
[ Tue Sep 27 22:37:16 2022 ] Training epoch: 98
[ Tue Sep 27 22:41:31 2022 ] 	Mean training loss: 0.2336. loss2: 0.0000. Mean training acc: 93.11%.
[ Tue Sep 27 22:41:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:41:31 2022 ] Eval epoch: 98
[ Tue Sep 27 22:43:11 2022 ] 	Mean test loss of 930 batches: 0.5878949337068105.
[ Tue Sep 27 22:43:12 2022 ] 	Top1: 83.14%
[ Tue Sep 27 22:43:12 2022 ] 	Top5: 96.61%
[ Tue Sep 27 22:43:12 2022 ] Training epoch: 99
[ Tue Sep 27 22:47:27 2022 ] 	Mean training loss: 0.2245. loss2: 0.0000. Mean training acc: 93.48%.
[ Tue Sep 27 22:47:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:47:27 2022 ] Eval epoch: 99
[ Tue Sep 27 22:49:08 2022 ] 	Mean test loss of 930 batches: 0.6176946640575445.
[ Tue Sep 27 22:49:08 2022 ] 	Top1: 82.39%
[ Tue Sep 27 22:49:09 2022 ] 	Top5: 96.24%
[ Tue Sep 27 22:49:09 2022 ] Training epoch: 100
[ Tue Sep 27 22:53:24 2022 ] 	Mean training loss: 0.2144. loss2: 0.0000. Mean training acc: 93.83%.
[ Tue Sep 27 22:53:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:53:24 2022 ] Eval epoch: 100
[ Tue Sep 27 22:55:04 2022 ] 	Mean test loss of 930 batches: 0.6172737119138562.
[ Tue Sep 27 22:55:05 2022 ] 	Top1: 82.86%
[ Tue Sep 27 22:55:05 2022 ] 	Top5: 96.35%
[ Tue Sep 27 22:55:05 2022 ] Training epoch: 101
[ Tue Sep 27 22:59:20 2022 ] 	Mean training loss: 0.1637. loss2: 0.0000. Mean training acc: 95.89%.
[ Tue Sep 27 22:59:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 22:59:20 2022 ] Eval epoch: 101
[ Tue Sep 27 23:01:00 2022 ] 	Mean test loss of 930 batches: 0.6068044586928301.
[ Tue Sep 27 23:01:01 2022 ] 	Top1: 82.95%
[ Tue Sep 27 23:01:01 2022 ] 	Top5: 96.41%
[ Tue Sep 27 23:01:01 2022 ] Training epoch: 102
[ Tue Sep 27 23:05:16 2022 ] 	Mean training loss: 0.1445. loss2: 0.0000. Mean training acc: 96.40%.
[ Tue Sep 27 23:05:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:05:16 2022 ] Eval epoch: 102
[ Tue Sep 27 23:06:56 2022 ] 	Mean test loss of 930 batches: 0.581351484418396.
[ Tue Sep 27 23:06:57 2022 ] 	Top1: 83.73%
[ Tue Sep 27 23:06:58 2022 ] 	Top5: 96.58%
[ Tue Sep 27 23:06:58 2022 ] Training epoch: 103
[ Tue Sep 27 23:11:13 2022 ] 	Mean training loss: 0.1389. loss2: 0.0000. Mean training acc: 96.67%.
[ Tue Sep 27 23:11:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:11:13 2022 ] Eval epoch: 103
[ Tue Sep 27 23:12:53 2022 ] 	Mean test loss of 930 batches: 0.5787521322127632.
[ Tue Sep 27 23:12:54 2022 ] 	Top1: 83.77%
[ Tue Sep 27 23:12:54 2022 ] 	Top5: 96.61%
[ Tue Sep 27 23:12:54 2022 ] Training epoch: 104
[ Tue Sep 27 23:17:09 2022 ] 	Mean training loss: 0.1324. loss2: 0.0000. Mean training acc: 96.77%.
[ Tue Sep 27 23:17:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:17:10 2022 ] Eval epoch: 104
[ Tue Sep 27 23:18:50 2022 ] 	Mean test loss of 930 batches: 0.5687751426291402.
[ Tue Sep 27 23:18:50 2022 ] 	Top1: 84.18%
[ Tue Sep 27 23:18:51 2022 ] 	Top5: 96.65%
[ Tue Sep 27 23:18:51 2022 ] Training epoch: 105
[ Tue Sep 27 23:23:05 2022 ] 	Mean training loss: 0.1266. loss2: 0.0000. Mean training acc: 96.98%.
[ Tue Sep 27 23:23:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:23:06 2022 ] Eval epoch: 105
[ Tue Sep 27 23:24:46 2022 ] 	Mean test loss of 930 batches: 0.5757799278343877.
[ Tue Sep 27 23:24:47 2022 ] 	Top1: 83.91%
[ Tue Sep 27 23:24:47 2022 ] 	Top5: 96.67%
[ Tue Sep 27 23:24:47 2022 ] Training epoch: 106
[ Tue Sep 27 23:29:02 2022 ] 	Mean training loss: 0.1228. loss2: 0.0000. Mean training acc: 97.10%.
[ Tue Sep 27 23:29:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:29:02 2022 ] Eval epoch: 106
[ Tue Sep 27 23:30:42 2022 ] 	Mean test loss of 930 batches: 0.5835677344111666.
[ Tue Sep 27 23:30:43 2022 ] 	Top1: 83.85%
[ Tue Sep 27 23:30:43 2022 ] 	Top5: 96.57%
[ Tue Sep 27 23:30:43 2022 ] Training epoch: 107
[ Tue Sep 27 23:34:59 2022 ] 	Mean training loss: 0.1198. loss2: 0.0000. Mean training acc: 97.22%.
[ Tue Sep 27 23:34:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:34:59 2022 ] Eval epoch: 107
[ Tue Sep 27 23:36:40 2022 ] 	Mean test loss of 930 batches: 0.5782541527182504.
[ Tue Sep 27 23:36:40 2022 ] 	Top1: 84.17%
[ Tue Sep 27 23:36:41 2022 ] 	Top5: 96.64%
[ Tue Sep 27 23:36:41 2022 ] Training epoch: 108
[ Tue Sep 27 23:40:55 2022 ] 	Mean training loss: 0.1184. loss2: 0.0000. Mean training acc: 97.31%.
[ Tue Sep 27 23:40:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:40:55 2022 ] Eval epoch: 108
[ Tue Sep 27 23:42:36 2022 ] 	Mean test loss of 930 batches: 0.5892056121581024.
[ Tue Sep 27 23:42:36 2022 ] 	Top1: 83.77%
[ Tue Sep 27 23:42:37 2022 ] 	Top5: 96.53%
[ Tue Sep 27 23:42:37 2022 ] Training epoch: 109
[ Tue Sep 27 23:46:51 2022 ] 	Mean training loss: 0.1124. loss2: 0.0000. Mean training acc: 97.49%.
[ Tue Sep 27 23:46:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:46:51 2022 ] Eval epoch: 109
[ Tue Sep 27 23:48:32 2022 ] 	Mean test loss of 930 batches: 0.6000599937733784.
[ Tue Sep 27 23:48:32 2022 ] 	Top1: 83.40%
[ Tue Sep 27 23:48:33 2022 ] 	Top5: 96.50%
[ Tue Sep 27 23:48:33 2022 ] Training epoch: 110
[ Tue Sep 27 23:52:48 2022 ] 	Mean training loss: 0.1116. loss2: 0.0000. Mean training acc: 97.51%.
[ Tue Sep 27 23:52:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:52:48 2022 ] Eval epoch: 110
[ Tue Sep 27 23:54:29 2022 ] 	Mean test loss of 930 batches: 0.6249527532887715.
[ Tue Sep 27 23:54:30 2022 ] 	Top1: 82.78%
[ Tue Sep 27 23:54:30 2022 ] 	Top5: 96.27%
[ Tue Sep 27 23:56:13 2022 ] Best accuracy: 0.8417875817542916
[ Tue Sep 27 23:56:13 2022 ] Epoch number: 104
[ Tue Sep 27 23:56:13 2022 ] Model name: work_dir/ntu120/cset/fc_vel
[ Tue Sep 27 23:56:13 2022 ] Model total number of params: 2112877
[ Tue Sep 27 23:56:13 2022 ] Weight decay: 0.0004
[ Tue Sep 27 23:56:13 2022 ] Base LR: 0.1
[ Tue Sep 27 23:56:13 2022 ] Batch Size: 64
[ Tue Sep 27 23:56:13 2022 ] Test Batch Size: 64
[ Tue Sep 27 23:56:13 2022 ] seed: 1
