[ Tue Sep 27 12:49:55 2022 ] using warm up, epoch: 5
[ Tue Sep 27 12:50:44 2022 ] using warm up, epoch: 5
[ Tue Sep 27 12:51:10 2022 ] using warm up, epoch: 5
[ Tue Sep 27 12:51:35 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/csub/fc_vel', 'model_saved_name': 'work_dir/ntu120/csub/fc_vel/runs', 'config': 'config/nturgbd120-cross-subject/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_CSub.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_CSub.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': [2], '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 12:51:35 2022 ] # Parameters: 2112877
[ Tue Sep 27 12:51:35 2022 ] Training epoch: 1
[ Tue Sep 27 12:56:31 2022 ] 	Mean training loss: 3.1066. loss2: 0.0000. Mean training acc: 25.82%.
[ Tue Sep 27 12:56:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 12:56:31 2022 ] Eval epoch: 1
[ Tue Sep 27 12:57:57 2022 ] 	Mean test loss of 796 batches: 2.2799356364125583.
[ Tue Sep 27 12:57:58 2022 ] 	Top1: 38.68%
[ Tue Sep 27 12:57:58 2022 ] 	Top5: 72.54%
[ Tue Sep 27 12:57:58 2022 ] Training epoch: 2
[ Tue Sep 27 13:02:53 2022 ] 	Mean training loss: 1.9712. loss2: 0.0000. Mean training acc: 46.13%.
[ Tue Sep 27 13:02:53 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 13:02:53 2022 ] Eval epoch: 2
[ Tue Sep 27 13:04:19 2022 ] 	Mean test loss of 796 batches: 1.7616060940764058.
[ Tue Sep 27 13:04:19 2022 ] 	Top1: 50.40%
[ Tue Sep 27 13:04:19 2022 ] 	Top5: 82.49%
[ Tue Sep 27 13:04:19 2022 ] Training epoch: 3
[ Tue Sep 27 13:09:15 2022 ] 	Mean training loss: 1.5918. loss2: 0.0000. Mean training acc: 54.80%.
[ Tue Sep 27 13:09:15 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:09:15 2022 ] Eval epoch: 3
[ Tue Sep 27 13:10:40 2022 ] 	Mean test loss of 796 batches: 1.7996986813131888.
[ Tue Sep 27 13:10:41 2022 ] 	Top1: 49.42%
[ Tue Sep 27 13:10:41 2022 ] 	Top5: 81.77%
[ Tue Sep 27 13:10:41 2022 ] Training epoch: 4
[ Tue Sep 27 13:15:36 2022 ] 	Mean training loss: 1.4031. loss2: 0.0000. Mean training acc: 59.71%.
[ Tue Sep 27 13:15:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:15:36 2022 ] Eval epoch: 4
[ Tue Sep 27 13:17:02 2022 ] 	Mean test loss of 796 batches: 1.5110222743683723.
[ Tue Sep 27 13:17:03 2022 ] 	Top1: 57.00%
[ Tue Sep 27 13:17:03 2022 ] 	Top5: 85.94%
[ Tue Sep 27 13:17:03 2022 ] Training epoch: 5
[ Tue Sep 27 13:21:58 2022 ] 	Mean training loss: 1.2974. loss2: 0.0000. Mean training acc: 62.65%.
[ Tue Sep 27 13:21:58 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:21:58 2022 ] Eval epoch: 5
[ Tue Sep 27 13:23:24 2022 ] 	Mean test loss of 796 batches: 1.457912129073886.
[ Tue Sep 27 13:23:24 2022 ] 	Top1: 58.20%
[ Tue Sep 27 13:23:25 2022 ] 	Top5: 87.70%
[ Tue Sep 27 13:23:25 2022 ] Training epoch: 6
[ Tue Sep 27 13:28:20 2022 ] 	Mean training loss: 1.1892. loss2: 0.0000. Mean training acc: 65.35%.
[ Tue Sep 27 13:28:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:28:20 2022 ] Eval epoch: 6
[ Tue Sep 27 13:29:46 2022 ] 	Mean test loss of 796 batches: 1.5748779146964826.
[ Tue Sep 27 13:29:46 2022 ] 	Top1: 55.34%
[ Tue Sep 27 13:29:47 2022 ] 	Top5: 86.06%
[ Tue Sep 27 13:29:47 2022 ] Training epoch: 7
[ Tue Sep 27 13:34:42 2022 ] 	Mean training loss: 1.1281. loss2: 0.0000. Mean training acc: 66.78%.
[ Tue Sep 27 13:34:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:34:42 2022 ] Eval epoch: 7
[ Tue Sep 27 13:36:08 2022 ] 	Mean test loss of 796 batches: 1.425154547445738.
[ Tue Sep 27 13:36:08 2022 ] 	Top1: 58.39%
[ Tue Sep 27 13:36:09 2022 ] 	Top5: 87.68%
[ Tue Sep 27 13:36:09 2022 ] Training epoch: 8
[ Tue Sep 27 13:41:04 2022 ] 	Mean training loss: 1.0879. loss2: 0.0000. Mean training acc: 67.86%.
[ Tue Sep 27 13:41:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:41:04 2022 ] Eval epoch: 8
[ Tue Sep 27 13:42:30 2022 ] 	Mean test loss of 796 batches: 1.3811196086544488.
[ Tue Sep 27 13:42:30 2022 ] 	Top1: 59.99%
[ Tue Sep 27 13:42:31 2022 ] 	Top5: 87.94%
[ Tue Sep 27 13:42:31 2022 ] Training epoch: 9
[ Tue Sep 27 13:47:26 2022 ] 	Mean training loss: 1.0401. loss2: 0.0000. Mean training acc: 69.46%.
[ Tue Sep 27 13:47:26 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:47:26 2022 ] Eval epoch: 9
[ Tue Sep 27 13:48:52 2022 ] 	Mean test loss of 796 batches: 1.2598521692594091.
[ Tue Sep 27 13:48:52 2022 ] 	Top1: 63.38%
[ Tue Sep 27 13:48:53 2022 ] 	Top5: 89.39%
[ Tue Sep 27 13:48:53 2022 ] Training epoch: 10
[ Tue Sep 27 13:53:48 2022 ] 	Mean training loss: 1.0187. loss2: 0.0000. Mean training acc: 70.05%.
[ Tue Sep 27 13:53:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:53:48 2022 ] Eval epoch: 10
[ Tue Sep 27 13:55:14 2022 ] 	Mean test loss of 796 batches: 1.474261492715409.
[ Tue Sep 27 13:55:14 2022 ] 	Top1: 57.85%
[ Tue Sep 27 13:55:15 2022 ] 	Top5: 86.58%
[ Tue Sep 27 13:55:15 2022 ] Training epoch: 11
[ Tue Sep 27 14:00:10 2022 ] 	Mean training loss: 0.9997. loss2: 0.0000. Mean training acc: 70.69%.
[ Tue Sep 27 14:00:10 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:00:10 2022 ] Eval epoch: 11
[ Tue Sep 27 14:01:36 2022 ] 	Mean test loss of 796 batches: 1.4000497398963525.
[ Tue Sep 27 14:01:36 2022 ] 	Top1: 60.30%
[ Tue Sep 27 14:01:37 2022 ] 	Top5: 87.53%
[ Tue Sep 27 14:01:37 2022 ] Training epoch: 12
[ Tue Sep 27 14:06:32 2022 ] 	Mean training loss: 0.9777. loss2: 0.0000. Mean training acc: 70.93%.
[ Tue Sep 27 14:06:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:06:32 2022 ] Eval epoch: 12
[ Tue Sep 27 14:07:58 2022 ] 	Mean test loss of 796 batches: 1.2426388665060302.
[ Tue Sep 27 14:07:59 2022 ] 	Top1: 65.09%
[ Tue Sep 27 14:07:59 2022 ] 	Top5: 89.04%
[ Tue Sep 27 14:07:59 2022 ] Training epoch: 13
[ Tue Sep 27 14:12:55 2022 ] 	Mean training loss: 0.9597. loss2: 0.0000. Mean training acc: 71.46%.
[ Tue Sep 27 14:12:55 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:12:55 2022 ] Eval epoch: 13
[ Tue Sep 27 14:14:20 2022 ] 	Mean test loss of 796 batches: 1.2408091511259127.
[ Tue Sep 27 14:14:21 2022 ] 	Top1: 64.41%
[ Tue Sep 27 14:14:21 2022 ] 	Top5: 89.96%
[ Tue Sep 27 14:14:21 2022 ] Training epoch: 14
[ Tue Sep 27 14:19:17 2022 ] 	Mean training loss: 0.9425. loss2: 0.0000. Mean training acc: 72.18%.
[ Tue Sep 27 14:19:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:19:17 2022 ] Eval epoch: 14
[ Tue Sep 27 14:20:42 2022 ] 	Mean test loss of 796 batches: 1.1149610151822245.
[ Tue Sep 27 14:20:43 2022 ] 	Top1: 67.63%
[ Tue Sep 27 14:20:43 2022 ] 	Top5: 91.23%
[ Tue Sep 27 14:20:43 2022 ] Training epoch: 15
[ Tue Sep 27 14:25:39 2022 ] 	Mean training loss: 0.9315. loss2: 0.0000. Mean training acc: 72.32%.
[ Tue Sep 27 14:25:39 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:25:39 2022 ] Eval epoch: 15
[ Tue Sep 27 14:27:04 2022 ] 	Mean test loss of 796 batches: 1.171585531053531.
[ Tue Sep 27 14:27:05 2022 ] 	Top1: 65.46%
[ Tue Sep 27 14:27:05 2022 ] 	Top5: 90.86%
[ Tue Sep 27 14:27:05 2022 ] Training epoch: 16
[ Tue Sep 27 14:32:01 2022 ] 	Mean training loss: 0.9173. loss2: 0.0000. Mean training acc: 72.70%.
[ Tue Sep 27 14:32:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:32:01 2022 ] Eval epoch: 16
[ Tue Sep 27 14:33:27 2022 ] 	Mean test loss of 796 batches: 1.4095487151313666.
[ Tue Sep 27 14:33:27 2022 ] 	Top1: 61.31%
[ Tue Sep 27 14:33:27 2022 ] 	Top5: 87.91%
[ Tue Sep 27 14:33:27 2022 ] Training epoch: 17
[ Tue Sep 27 14:38:23 2022 ] 	Mean training loss: 0.9077. loss2: 0.0000. Mean training acc: 73.14%.
[ Tue Sep 27 14:38:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:38:23 2022 ] Eval epoch: 17
[ Tue Sep 27 14:39:49 2022 ] 	Mean test loss of 796 batches: 1.1558606775861289.
[ Tue Sep 27 14:39:49 2022 ] 	Top1: 66.49%
[ Tue Sep 27 14:39:50 2022 ] 	Top5: 90.80%
[ Tue Sep 27 14:39:50 2022 ] Training epoch: 18
[ Tue Sep 27 14:44:45 2022 ] 	Mean training loss: 0.8994. loss2: 0.0000. Mean training acc: 73.38%.
[ Tue Sep 27 14:44:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:44:45 2022 ] Eval epoch: 18
[ Tue Sep 27 14:46:11 2022 ] 	Mean test loss of 796 batches: 1.1165786697786657.
[ Tue Sep 27 14:46:12 2022 ] 	Top1: 67.27%
[ Tue Sep 27 14:46:12 2022 ] 	Top5: 91.67%
[ Tue Sep 27 14:46:12 2022 ] Training epoch: 19
[ Tue Sep 27 14:51:08 2022 ] 	Mean training loss: 0.8872. loss2: 0.0000. Mean training acc: 73.63%.
[ Tue Sep 27 14:51:08 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:51:08 2022 ] Eval epoch: 19
[ Tue Sep 27 14:52:33 2022 ] 	Mean test loss of 796 batches: 1.158371463118486.
[ Tue Sep 27 14:52:34 2022 ] 	Top1: 66.09%
[ Tue Sep 27 14:52:34 2022 ] 	Top5: 91.18%
[ Tue Sep 27 14:52:34 2022 ] Training epoch: 20
[ Tue Sep 27 14:57:30 2022 ] 	Mean training loss: 0.8799. loss2: 0.0000. Mean training acc: 73.90%.
[ Tue Sep 27 14:57:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:57:30 2022 ] Eval epoch: 20
[ Tue Sep 27 14:58:56 2022 ] 	Mean test loss of 796 batches: 1.1884978223386122.
[ Tue Sep 27 14:58:57 2022 ] 	Top1: 65.08%
[ Tue Sep 27 14:58:57 2022 ] 	Top5: 91.24%
[ Tue Sep 27 14:58:57 2022 ] Training epoch: 21
[ Tue Sep 27 15:03:53 2022 ] 	Mean training loss: 0.8779. loss2: 0.0000. Mean training acc: 74.05%.
[ Tue Sep 27 15:03:53 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:03:53 2022 ] Eval epoch: 21
[ Tue Sep 27 15:05:18 2022 ] 	Mean test loss of 796 batches: 1.0904055744334682.
[ Tue Sep 27 15:05:19 2022 ] 	Top1: 68.34%
[ Tue Sep 27 15:05:19 2022 ] 	Top5: 91.65%
[ Tue Sep 27 15:05:19 2022 ] Training epoch: 22
[ Tue Sep 27 15:10:15 2022 ] 	Mean training loss: 0.8724. loss2: 0.0000. Mean training acc: 73.98%.
[ Tue Sep 27 15:10:15 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:10:15 2022 ] Eval epoch: 22
[ Tue Sep 27 15:11:41 2022 ] 	Mean test loss of 796 batches: 1.1607620826543277.
[ Tue Sep 27 15:11:41 2022 ] 	Top1: 66.64%
[ Tue Sep 27 15:11:42 2022 ] 	Top5: 91.74%
[ Tue Sep 27 15:11:42 2022 ] Training epoch: 23
[ Tue Sep 27 15:16:37 2022 ] 	Mean training loss: 0.8675. loss2: 0.0000. Mean training acc: 74.19%.
[ Tue Sep 27 15:16:37 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:16:37 2022 ] Eval epoch: 23
[ Tue Sep 27 15:18:03 2022 ] 	Mean test loss of 796 batches: 1.2712691413173125.
[ Tue Sep 27 15:18:03 2022 ] 	Top1: 62.85%
[ Tue Sep 27 15:18:04 2022 ] 	Top5: 89.68%
[ Tue Sep 27 15:18:04 2022 ] Training epoch: 24
[ Tue Sep 27 15:22:59 2022 ] 	Mean training loss: 0.8615. loss2: 0.0000. Mean training acc: 74.52%.
[ Tue Sep 27 15:22:59 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:22:59 2022 ] Eval epoch: 24
[ Tue Sep 27 15:24:25 2022 ] 	Mean test loss of 796 batches: 1.2744753759859795.
[ Tue Sep 27 15:24:25 2022 ] 	Top1: 64.37%
[ Tue Sep 27 15:24:26 2022 ] 	Top5: 89.72%
[ Tue Sep 27 15:24:26 2022 ] Training epoch: 25
[ Tue Sep 27 15:29:22 2022 ] 	Mean training loss: 0.8576. loss2: 0.0000. Mean training acc: 74.44%.
[ Tue Sep 27 15:29:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:29:22 2022 ] Eval epoch: 25
[ Tue Sep 27 15:30:48 2022 ] 	Mean test loss of 796 batches: 1.188643712644002.
[ Tue Sep 27 15:30:49 2022 ] 	Top1: 66.59%
[ Tue Sep 27 15:30:49 2022 ] 	Top5: 92.02%
[ Tue Sep 27 15:30:49 2022 ] Training epoch: 26
[ Tue Sep 27 15:35:45 2022 ] 	Mean training loss: 0.8524. loss2: 0.0000. Mean training acc: 74.70%.
[ Tue Sep 27 15:35:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:35:45 2022 ] Eval epoch: 26
[ Tue Sep 27 15:37:11 2022 ] 	Mean test loss of 796 batches: 1.2316069210219622.
[ Tue Sep 27 15:37:11 2022 ] 	Top1: 65.69%
[ Tue Sep 27 15:37:11 2022 ] 	Top5: 90.45%
[ Tue Sep 27 15:37:11 2022 ] Training epoch: 27
[ Tue Sep 27 15:42:07 2022 ] 	Mean training loss: 0.8492. loss2: 0.0000. Mean training acc: 74.88%.
[ Tue Sep 27 15:42:07 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:42:07 2022 ] Eval epoch: 27
[ Tue Sep 27 15:43:32 2022 ] 	Mean test loss of 796 batches: 1.4183663704512108.
[ Tue Sep 27 15:43:33 2022 ] 	Top1: 60.57%
[ Tue Sep 27 15:43:33 2022 ] 	Top5: 88.40%
[ Tue Sep 27 15:43:33 2022 ] Training epoch: 28
[ Tue Sep 27 15:48:29 2022 ] 	Mean training loss: 0.8450. loss2: 0.0000. Mean training acc: 74.80%.
[ Tue Sep 27 15:48:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:48:29 2022 ] Eval epoch: 28
[ Tue Sep 27 15:49:55 2022 ] 	Mean test loss of 796 batches: 1.175917562789953.
[ Tue Sep 27 15:49:55 2022 ] 	Top1: 66.47%
[ Tue Sep 27 15:49:56 2022 ] 	Top5: 90.84%
[ Tue Sep 27 15:49:56 2022 ] Training epoch: 29
[ Tue Sep 27 15:54:51 2022 ] 	Mean training loss: 0.8477. loss2: 0.0000. Mean training acc: 74.69%.
[ Tue Sep 27 15:54:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:54:51 2022 ] Eval epoch: 29
[ Tue Sep 27 15:56:17 2022 ] 	Mean test loss of 796 batches: 1.191780051506644.
[ Tue Sep 27 15:56:17 2022 ] 	Top1: 65.63%
[ Tue Sep 27 15:56:18 2022 ] 	Top5: 91.00%
[ Tue Sep 27 15:56:18 2022 ] Training epoch: 30
[ Tue Sep 27 16:01:13 2022 ] 	Mean training loss: 0.8396. loss2: 0.0000. Mean training acc: 74.97%.
[ Tue Sep 27 16:01:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:01:13 2022 ] Eval epoch: 30
[ Tue Sep 27 16:02:39 2022 ] 	Mean test loss of 796 batches: 1.1618456853619172.
[ Tue Sep 27 16:02:39 2022 ] 	Top1: 66.15%
[ Tue Sep 27 16:02:39 2022 ] 	Top5: 91.49%
[ Tue Sep 27 16:02:39 2022 ] Training epoch: 31
[ Tue Sep 27 16:07:37 2022 ] 	Mean training loss: 0.8383. loss2: 0.0000. Mean training acc: 75.05%.
[ Tue Sep 27 16:07:37 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:07:37 2022 ] Eval epoch: 31
[ Tue Sep 27 16:09:03 2022 ] 	Mean test loss of 796 batches: 1.3890751054014392.
[ Tue Sep 27 16:09:03 2022 ] 	Top1: 61.77%
[ Tue Sep 27 16:09:03 2022 ] 	Top5: 88.71%
[ Tue Sep 27 16:09:03 2022 ] Training epoch: 32
[ Tue Sep 27 16:13:59 2022 ] 	Mean training loss: 0.8385. loss2: 0.0000. Mean training acc: 74.86%.
[ Tue Sep 27 16:13:59 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 16:13:59 2022 ] Eval epoch: 32
[ Tue Sep 27 16:15:25 2022 ] 	Mean test loss of 796 batches: 1.2433540229896205.
[ Tue Sep 27 16:15:25 2022 ] 	Top1: 65.19%
[ Tue Sep 27 16:15:25 2022 ] 	Top5: 90.23%
[ Tue Sep 27 16:15:25 2022 ] Training epoch: 33
[ Tue Sep 27 16:20:21 2022 ] 	Mean training loss: 0.8307. loss2: 0.0000. Mean training acc: 75.27%.
[ Tue Sep 27 16:20:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:20:21 2022 ] Eval epoch: 33
[ Tue Sep 27 16:21:47 2022 ] 	Mean test loss of 796 batches: 1.3060745781839793.
[ Tue Sep 27 16:21:48 2022 ] 	Top1: 63.57%
[ Tue Sep 27 16:21:48 2022 ] 	Top5: 89.99%
[ Tue Sep 27 16:21:48 2022 ] Training epoch: 34
[ Tue Sep 27 16:26:44 2022 ] 	Mean training loss: 0.8260. loss2: 0.0000. Mean training acc: 75.28%.
[ Tue Sep 27 16:26:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:26:44 2022 ] Eval epoch: 34
[ Tue Sep 27 16:28:09 2022 ] 	Mean test loss of 796 batches: 1.0761459189743252.
[ Tue Sep 27 16:28:10 2022 ] 	Top1: 68.61%
[ Tue Sep 27 16:28:10 2022 ] 	Top5: 92.13%
[ Tue Sep 27 16:28:10 2022 ] Training epoch: 35
[ Tue Sep 27 16:33:06 2022 ] 	Mean training loss: 0.8287. loss2: 0.0000. Mean training acc: 75.38%.
[ Tue Sep 27 16:33:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:33:06 2022 ] Eval epoch: 35
[ Tue Sep 27 16:34:32 2022 ] 	Mean test loss of 796 batches: 1.1385183020228118.
[ Tue Sep 27 16:34:32 2022 ] 	Top1: 67.07%
[ Tue Sep 27 16:34:33 2022 ] 	Top5: 91.00%
[ Tue Sep 27 16:34:33 2022 ] Training epoch: 36
[ Tue Sep 27 16:39:28 2022 ] 	Mean training loss: 0.8268. loss2: 0.0000. Mean training acc: 75.54%.
[ Tue Sep 27 16:39:28 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:39:28 2022 ] Eval epoch: 36
[ Tue Sep 27 16:40:54 2022 ] 	Mean test loss of 796 batches: 0.9888628244624665.
[ Tue Sep 27 16:40:54 2022 ] 	Top1: 70.78%
[ Tue Sep 27 16:40:55 2022 ] 	Top5: 93.11%
[ Tue Sep 27 16:40:55 2022 ] Training epoch: 37
[ Tue Sep 27 16:45:51 2022 ] 	Mean training loss: 0.8224. loss2: 0.0000. Mean training acc: 75.26%.
[ Tue Sep 27 16:45:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:45:51 2022 ] Eval epoch: 37
[ Tue Sep 27 16:47:17 2022 ] 	Mean test loss of 796 batches: 1.0626065521009604.
[ Tue Sep 27 16:47:18 2022 ] 	Top1: 69.06%
[ Tue Sep 27 16:47:18 2022 ] 	Top5: 92.50%
[ Tue Sep 27 16:47:18 2022 ] Training epoch: 38
[ Tue Sep 27 16:52:13 2022 ] 	Mean training loss: 0.8205. loss2: 0.0000. Mean training acc: 75.53%.
[ Tue Sep 27 16:52:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:52:13 2022 ] Eval epoch: 38
[ Tue Sep 27 16:53:39 2022 ] 	Mean test loss of 796 batches: 1.1042549175083938.
[ Tue Sep 27 16:53:39 2022 ] 	Top1: 68.55%
[ Tue Sep 27 16:53:40 2022 ] 	Top5: 91.49%
[ Tue Sep 27 16:53:40 2022 ] Training epoch: 39
[ Tue Sep 27 16:58:35 2022 ] 	Mean training loss: 0.8204. loss2: 0.0000. Mean training acc: 75.54%.
[ Tue Sep 27 16:58:35 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:58:35 2022 ] Eval epoch: 39
[ Tue Sep 27 17:00:01 2022 ] 	Mean test loss of 796 batches: 1.2305954742671257.
[ Tue Sep 27 17:00:02 2022 ] 	Top1: 65.62%
[ Tue Sep 27 17:00:02 2022 ] 	Top5: 89.75%
[ Tue Sep 27 17:00:02 2022 ] Training epoch: 40
[ Tue Sep 27 17:04:57 2022 ] 	Mean training loss: 0.8189. loss2: 0.0000. Mean training acc: 75.62%.
[ Tue Sep 27 17:04:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:04:58 2022 ] Eval epoch: 40
[ Tue Sep 27 17:06:23 2022 ] 	Mean test loss of 796 batches: 1.1888229204107768.
[ Tue Sep 27 17:06:24 2022 ] 	Top1: 65.60%
[ Tue Sep 27 17:06:24 2022 ] 	Top5: 90.87%
[ Tue Sep 27 17:06:24 2022 ] Training epoch: 41
[ Tue Sep 27 17:11:20 2022 ] 	Mean training loss: 0.8177. loss2: 0.0000. Mean training acc: 75.38%.
[ Tue Sep 27 17:11:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:11:20 2022 ] Eval epoch: 41
[ Tue Sep 27 17:12:46 2022 ] 	Mean test loss of 796 batches: 1.063059710378024.
[ Tue Sep 27 17:12:46 2022 ] 	Top1: 68.92%
[ Tue Sep 27 17:12:47 2022 ] 	Top5: 92.01%
[ Tue Sep 27 17:12:47 2022 ] Training epoch: 42
[ Tue Sep 27 17:17:42 2022 ] 	Mean training loss: 0.8169. loss2: 0.0000. Mean training acc: 75.70%.
[ Tue Sep 27 17:17:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:17:42 2022 ] Eval epoch: 42
[ Tue Sep 27 17:19:08 2022 ] 	Mean test loss of 796 batches: 1.1460068500296554.
[ Tue Sep 27 17:19:09 2022 ] 	Top1: 67.10%
[ Tue Sep 27 17:19:09 2022 ] 	Top5: 91.01%
[ Tue Sep 27 17:19:09 2022 ] Training epoch: 43
[ Tue Sep 27 17:24:04 2022 ] 	Mean training loss: 0.8147. loss2: 0.0000. Mean training acc: 75.65%.
[ Tue Sep 27 17:24:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:24:04 2022 ] Eval epoch: 43
[ Tue Sep 27 17:25:30 2022 ] 	Mean test loss of 796 batches: 1.1474842161838732.
[ Tue Sep 27 17:25:31 2022 ] 	Top1: 67.98%
[ Tue Sep 27 17:25:31 2022 ] 	Top5: 90.44%
[ Tue Sep 27 17:25:31 2022 ] Training epoch: 44
[ Tue Sep 27 17:30:26 2022 ] 	Mean training loss: 0.8132. loss2: 0.0000. Mean training acc: 75.69%.
[ Tue Sep 27 17:30:26 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:30:26 2022 ] Eval epoch: 44
[ Tue Sep 27 17:31:52 2022 ] 	Mean test loss of 796 batches: 1.131228676243643.
[ Tue Sep 27 17:31:53 2022 ] 	Top1: 67.14%
[ Tue Sep 27 17:31:53 2022 ] 	Top5: 92.05%
[ Tue Sep 27 17:31:53 2022 ] Training epoch: 45
[ Tue Sep 27 17:36:49 2022 ] 	Mean training loss: 0.8092. loss2: 0.0000. Mean training acc: 75.93%.
[ Tue Sep 27 17:36:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:36:49 2022 ] Eval epoch: 45
[ Tue Sep 27 17:38:15 2022 ] 	Mean test loss of 796 batches: 1.1572287045980818.
[ Tue Sep 27 17:38:15 2022 ] 	Top1: 66.51%
[ Tue Sep 27 17:38:16 2022 ] 	Top5: 90.82%
[ Tue Sep 27 17:38:16 2022 ] Training epoch: 46
[ Tue Sep 27 17:43:11 2022 ] 	Mean training loss: 0.8181. loss2: 0.0000. Mean training acc: 75.46%.
[ Tue Sep 27 17:43:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:43:11 2022 ] Eval epoch: 46
[ Tue Sep 27 17:44:37 2022 ] 	Mean test loss of 796 batches: 1.2063389909851492.
[ Tue Sep 27 17:44:38 2022 ] 	Top1: 66.30%
[ Tue Sep 27 17:44:38 2022 ] 	Top5: 90.63%
[ Tue Sep 27 17:44:38 2022 ] Training epoch: 47
[ Tue Sep 27 17:49:34 2022 ] 	Mean training loss: 0.8172. loss2: 0.0000. Mean training acc: 75.59%.
[ Tue Sep 27 17:49:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:49:34 2022 ] Eval epoch: 47
[ Tue Sep 27 17:51:01 2022 ] 	Mean test loss of 796 batches: 1.2770812831931377.
[ Tue Sep 27 17:51:01 2022 ] 	Top1: 63.36%
[ Tue Sep 27 17:51:01 2022 ] 	Top5: 90.02%
[ Tue Sep 27 17:51:01 2022 ] Training epoch: 48
[ Tue Sep 27 17:55:57 2022 ] 	Mean training loss: 0.8175. loss2: 0.0000. Mean training acc: 75.55%.
[ Tue Sep 27 17:55:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:55:57 2022 ] Eval epoch: 48
[ Tue Sep 27 17:57:22 2022 ] 	Mean test loss of 796 batches: 1.1669374419816176.
[ Tue Sep 27 17:57:23 2022 ] 	Top1: 66.25%
[ Tue Sep 27 17:57:23 2022 ] 	Top5: 91.78%
[ Tue Sep 27 17:57:23 2022 ] Training epoch: 49
[ Tue Sep 27 18:02:19 2022 ] 	Mean training loss: 0.8160. loss2: 0.0000. Mean training acc: 75.67%.
[ Tue Sep 27 18:02:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:02:19 2022 ] Eval epoch: 49
[ Tue Sep 27 18:03:45 2022 ] 	Mean test loss of 796 batches: 1.0649722941856288.
[ Tue Sep 27 18:03:45 2022 ] 	Top1: 68.93%
[ Tue Sep 27 18:03:45 2022 ] 	Top5: 92.40%
[ Tue Sep 27 18:03:45 2022 ] Training epoch: 50
[ Tue Sep 27 18:08:41 2022 ] 	Mean training loss: 0.8194. loss2: 0.0000. Mean training acc: 75.32%.
[ Tue Sep 27 18:08:41 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:08:41 2022 ] Eval epoch: 50
[ Tue Sep 27 18:10:07 2022 ] 	Mean test loss of 796 batches: 1.072312851759357.
[ Tue Sep 27 18:10:07 2022 ] 	Top1: 68.54%
[ Tue Sep 27 18:10:08 2022 ] 	Top5: 92.38%
[ Tue Sep 27 18:10:08 2022 ] Training epoch: 51
[ Tue Sep 27 18:15:03 2022 ] 	Mean training loss: 0.8133. loss2: 0.0000. Mean training acc: 75.64%.
[ Tue Sep 27 18:15:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:15:03 2022 ] Eval epoch: 51
[ Tue Sep 27 18:16:29 2022 ] 	Mean test loss of 796 batches: 1.1488970996971106.
[ Tue Sep 27 18:16:29 2022 ] 	Top1: 66.74%
[ Tue Sep 27 18:16:30 2022 ] 	Top5: 91.73%
[ Tue Sep 27 18:16:30 2022 ] Training epoch: 52
[ Tue Sep 27 18:21:25 2022 ] 	Mean training loss: 0.8127. loss2: 0.0000. Mean training acc: 75.66%.
[ Tue Sep 27 18:21:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:21:25 2022 ] Eval epoch: 52
[ Tue Sep 27 18:22:51 2022 ] 	Mean test loss of 796 batches: 1.074097468999762.
[ Tue Sep 27 18:22:51 2022 ] 	Top1: 68.75%
[ Tue Sep 27 18:22:52 2022 ] 	Top5: 92.35%
[ Tue Sep 27 18:22:52 2022 ] Training epoch: 53
[ Tue Sep 27 18:27:47 2022 ] 	Mean training loss: 0.8079. loss2: 0.0000. Mean training acc: 75.83%.
[ Tue Sep 27 18:27:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:27:47 2022 ] Eval epoch: 53
[ Tue Sep 27 18:29:13 2022 ] 	Mean test loss of 796 batches: 1.047671168593306.
[ Tue Sep 27 18:29:14 2022 ] 	Top1: 69.04%
[ Tue Sep 27 18:29:14 2022 ] 	Top5: 92.19%
[ Tue Sep 27 18:29:14 2022 ] Training epoch: 54
[ Tue Sep 27 18:34:10 2022 ] 	Mean training loss: 0.8122. loss2: 0.0000. Mean training acc: 75.71%.
[ Tue Sep 27 18:34:10 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:34:10 2022 ] Eval epoch: 54
[ Tue Sep 27 18:35:36 2022 ] 	Mean test loss of 796 batches: 1.1951579546658837.
[ Tue Sep 27 18:35:36 2022 ] 	Top1: 65.88%
[ Tue Sep 27 18:35:36 2022 ] 	Top5: 90.76%
[ Tue Sep 27 18:35:36 2022 ] Training epoch: 55
[ Tue Sep 27 18:40:32 2022 ] 	Mean training loss: 0.8052. loss2: 0.0000. Mean training acc: 75.93%.
[ Tue Sep 27 18:40:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:40:32 2022 ] Eval epoch: 55
[ Tue Sep 27 18:41:58 2022 ] 	Mean test loss of 796 batches: 1.150025552054446.
[ Tue Sep 27 18:41:58 2022 ] 	Top1: 66.07%
[ Tue Sep 27 18:41:59 2022 ] 	Top5: 91.82%
[ Tue Sep 27 18:41:59 2022 ] Training epoch: 56
[ Tue Sep 27 18:46:54 2022 ] 	Mean training loss: 0.8059. loss2: 0.0000. Mean training acc: 75.85%.
[ Tue Sep 27 18:46:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:46:54 2022 ] Eval epoch: 56
[ Tue Sep 27 18:48:20 2022 ] 	Mean test loss of 796 batches: 1.0186914808711214.
[ Tue Sep 27 18:48:20 2022 ] 	Top1: 70.62%
[ Tue Sep 27 18:48:21 2022 ] 	Top5: 92.88%
[ Tue Sep 27 18:48:21 2022 ] Training epoch: 57
[ Tue Sep 27 18:53:17 2022 ] 	Mean training loss: 0.8082. loss2: 0.0000. Mean training acc: 75.87%.
[ Tue Sep 27 18:53:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:53:17 2022 ] Eval epoch: 57
[ Tue Sep 27 18:54:43 2022 ] 	Mean test loss of 796 batches: 1.048779355858139.
[ Tue Sep 27 18:54:44 2022 ] 	Top1: 69.45%
[ Tue Sep 27 18:54:44 2022 ] 	Top5: 92.46%
[ Tue Sep 27 18:54:44 2022 ] Training epoch: 58
[ Tue Sep 27 18:59:39 2022 ] 	Mean training loss: 0.8026. loss2: 0.0000. Mean training acc: 75.94%.
[ Tue Sep 27 18:59:39 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:59:39 2022 ] Eval epoch: 58
[ Tue Sep 27 19:01:05 2022 ] 	Mean test loss of 796 batches: 1.0136070536758433.
[ Tue Sep 27 19:01:05 2022 ] 	Top1: 69.85%
[ Tue Sep 27 19:01:06 2022 ] 	Top5: 93.00%
[ Tue Sep 27 19:01:06 2022 ] Training epoch: 59
[ Tue Sep 27 19:06:01 2022 ] 	Mean training loss: 0.8041. loss2: 0.0000. Mean training acc: 75.99%.
[ Tue Sep 27 19:06:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:06:01 2022 ] Eval epoch: 59
[ Tue Sep 27 19:07:27 2022 ] 	Mean test loss of 796 batches: 1.1678563181928654.
[ Tue Sep 27 19:07:27 2022 ] 	Top1: 67.30%
[ Tue Sep 27 19:07:28 2022 ] 	Top5: 91.19%
[ Tue Sep 27 19:07:28 2022 ] Training epoch: 60
[ Tue Sep 27 19:12:23 2022 ] 	Mean training loss: 0.8088. loss2: 0.0000. Mean training acc: 75.84%.
[ Tue Sep 27 19:12:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:12:23 2022 ] Eval epoch: 60
[ Tue Sep 27 19:13:49 2022 ] 	Mean test loss of 796 batches: 1.1060547653829034.
[ Tue Sep 27 19:13:50 2022 ] 	Top1: 67.68%
[ Tue Sep 27 19:13:50 2022 ] 	Top5: 92.03%
[ Tue Sep 27 19:13:50 2022 ] Training epoch: 61
[ Tue Sep 27 19:18:46 2022 ] 	Mean training loss: 0.8016. loss2: 0.0000. Mean training acc: 75.93%.
[ Tue Sep 27 19:18:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:18:46 2022 ] Eval epoch: 61
[ Tue Sep 27 19:20:12 2022 ] 	Mean test loss of 796 batches: 1.1878725985561185.
[ Tue Sep 27 19:20:13 2022 ] 	Top1: 66.56%
[ Tue Sep 27 19:20:13 2022 ] 	Top5: 91.38%
[ Tue Sep 27 19:20:13 2022 ] Training epoch: 62
[ Tue Sep 27 19:25:08 2022 ] 	Mean training loss: 0.8054. loss2: 0.0000. Mean training acc: 75.85%.
[ Tue Sep 27 19:25:08 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:25:08 2022 ] Eval epoch: 62
[ Tue Sep 27 19:26:34 2022 ] 	Mean test loss of 796 batches: 1.1519588390786444.
[ Tue Sep 27 19:26:35 2022 ] 	Top1: 66.70%
[ Tue Sep 27 19:26:35 2022 ] 	Top5: 91.66%
[ Tue Sep 27 19:26:35 2022 ] Training epoch: 63
[ Tue Sep 27 19:31:30 2022 ] 	Mean training loss: 0.8048. loss2: 0.0000. Mean training acc: 75.80%.
[ Tue Sep 27 19:31:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:31:30 2022 ] Eval epoch: 63
[ Tue Sep 27 19:32:57 2022 ] 	Mean test loss of 796 batches: 1.1567401498106855.
[ Tue Sep 27 19:32:57 2022 ] 	Top1: 67.17%
[ Tue Sep 27 19:32:57 2022 ] 	Top5: 91.38%
[ Tue Sep 27 19:32:57 2022 ] Training epoch: 64
[ Tue Sep 27 19:37:53 2022 ] 	Mean training loss: 0.8035. loss2: 0.0000. Mean training acc: 75.93%.
[ Tue Sep 27 19:37:53 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:37:53 2022 ] Eval epoch: 64
[ Tue Sep 27 19:39:19 2022 ] 	Mean test loss of 796 batches: 0.9894995944733596.
[ Tue Sep 27 19:39:19 2022 ] 	Top1: 69.98%
[ Tue Sep 27 19:39:20 2022 ] 	Top5: 93.50%
[ Tue Sep 27 19:39:20 2022 ] Training epoch: 65
[ Tue Sep 27 19:44:16 2022 ] 	Mean training loss: 0.8036. loss2: 0.0000. Mean training acc: 75.81%.
[ Tue Sep 27 19:44:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:44:16 2022 ] Eval epoch: 65
[ Tue Sep 27 19:45:42 2022 ] 	Mean test loss of 796 batches: 1.238067452594563.
[ Tue Sep 27 19:45:42 2022 ] 	Top1: 66.13%
[ Tue Sep 27 19:45:42 2022 ] 	Top5: 90.52%
[ Tue Sep 27 19:45:42 2022 ] Training epoch: 66
[ Tue Sep 27 19:50:37 2022 ] 	Mean training loss: 0.8038. loss2: 0.0000. Mean training acc: 76.05%.
[ Tue Sep 27 19:50:37 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:50:38 2022 ] Eval epoch: 66
[ Tue Sep 27 19:52:03 2022 ] 	Mean test loss of 796 batches: 1.060794174596293.
[ Tue Sep 27 19:52:04 2022 ] 	Top1: 68.88%
[ Tue Sep 27 19:52:04 2022 ] 	Top5: 92.29%
[ Tue Sep 27 19:52:04 2022 ] Training epoch: 67
[ Tue Sep 27 19:57:00 2022 ] 	Mean training loss: 0.8062. loss2: 0.0000. Mean training acc: 75.84%.
[ Tue Sep 27 19:57:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:57:00 2022 ] Eval epoch: 67
[ Tue Sep 27 19:58:26 2022 ] 	Mean test loss of 796 batches: 1.1223976186022686.
[ Tue Sep 27 19:58:26 2022 ] 	Top1: 67.26%
[ Tue Sep 27 19:58:27 2022 ] 	Top5: 92.30%
[ Tue Sep 27 19:58:27 2022 ] Training epoch: 68
[ Tue Sep 27 20:03:22 2022 ] 	Mean training loss: 0.8081. loss2: 0.0000. Mean training acc: 75.89%.
[ Tue Sep 27 20:03:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:03:22 2022 ] Eval epoch: 68
[ Tue Sep 27 20:04:48 2022 ] 	Mean test loss of 796 batches: 1.0773413221740245.
[ Tue Sep 27 20:04:48 2022 ] 	Top1: 68.79%
[ Tue Sep 27 20:04:48 2022 ] 	Top5: 92.21%
[ Tue Sep 27 20:04:48 2022 ] Training epoch: 69
[ Tue Sep 27 20:09:44 2022 ] 	Mean training loss: 0.8100. loss2: 0.0000. Mean training acc: 75.79%.
[ Tue Sep 27 20:09:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:09:44 2022 ] Eval epoch: 69
[ Tue Sep 27 20:11:10 2022 ] 	Mean test loss of 796 batches: 1.1801451856841394.
[ Tue Sep 27 20:11:10 2022 ] 	Top1: 66.06%
[ Tue Sep 27 20:11:11 2022 ] 	Top5: 90.89%
[ Tue Sep 27 20:11:11 2022 ] Training epoch: 70
[ Tue Sep 27 20:16:06 2022 ] 	Mean training loss: 0.8056. loss2: 0.0000. Mean training acc: 75.91%.
[ Tue Sep 27 20:16:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:16:06 2022 ] Eval epoch: 70
[ Tue Sep 27 20:17:32 2022 ] 	Mean test loss of 796 batches: 1.1876770620370032.
[ Tue Sep 27 20:17:33 2022 ] 	Top1: 65.99%
[ Tue Sep 27 20:17:33 2022 ] 	Top5: 91.37%
[ Tue Sep 27 20:17:33 2022 ] Training epoch: 71
[ Tue Sep 27 20:22:29 2022 ] 	Mean training loss: 0.8033. loss2: 0.0000. Mean training acc: 75.87%.
[ Tue Sep 27 20:22:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:22:29 2022 ] Eval epoch: 71
[ Tue Sep 27 20:23:55 2022 ] 	Mean test loss of 796 batches: 1.1152989069121566.
[ Tue Sep 27 20:23:55 2022 ] 	Top1: 67.61%
[ Tue Sep 27 20:23:55 2022 ] 	Top5: 91.59%
[ Tue Sep 27 20:23:55 2022 ] Training epoch: 72
[ Tue Sep 27 20:28:51 2022 ] 	Mean training loss: 0.8014. loss2: 0.0000. Mean training acc: 76.01%.
[ Tue Sep 27 20:28:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:28:51 2022 ] Eval epoch: 72
[ Tue Sep 27 20:30:17 2022 ] 	Mean test loss of 796 batches: 1.1023551643493787.
[ Tue Sep 27 20:30:17 2022 ] 	Top1: 68.76%
[ Tue Sep 27 20:30:17 2022 ] 	Top5: 91.44%
[ Tue Sep 27 20:30:17 2022 ] Training epoch: 73
[ Tue Sep 27 20:35:13 2022 ] 	Mean training loss: 0.8037. loss2: 0.0000. Mean training acc: 76.02%.
[ Tue Sep 27 20:35:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:35:13 2022 ] Eval epoch: 73
[ Tue Sep 27 20:36:39 2022 ] 	Mean test loss of 796 batches: 1.0993877897160735.
[ Tue Sep 27 20:36:39 2022 ] 	Top1: 67.28%
[ Tue Sep 27 20:36:40 2022 ] 	Top5: 92.52%
[ Tue Sep 27 20:36:40 2022 ] Training epoch: 74
[ Tue Sep 27 20:41:35 2022 ] 	Mean training loss: 0.8059. loss2: 0.0000. Mean training acc: 75.78%.
[ Tue Sep 27 20:41:35 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:41:35 2022 ] Eval epoch: 74
[ Tue Sep 27 20:43:01 2022 ] 	Mean test loss of 796 batches: 1.0420008802121907.
[ Tue Sep 27 20:43:02 2022 ] 	Top1: 69.45%
[ Tue Sep 27 20:43:02 2022 ] 	Top5: 92.32%
[ Tue Sep 27 20:43:02 2022 ] Training epoch: 75
[ Tue Sep 27 20:47:57 2022 ] 	Mean training loss: 0.8012. loss2: 0.0000. Mean training acc: 75.96%.
[ Tue Sep 27 20:47:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:47:57 2022 ] Eval epoch: 75
[ Tue Sep 27 20:49:23 2022 ] 	Mean test loss of 796 batches: 1.2136307151697987.
[ Tue Sep 27 20:49:24 2022 ] 	Top1: 64.59%
[ Tue Sep 27 20:49:24 2022 ] 	Top5: 90.27%
[ Tue Sep 27 20:49:24 2022 ] Training epoch: 76
[ Tue Sep 27 20:54:19 2022 ] 	Mean training loss: 0.8018. loss2: 0.0000. Mean training acc: 76.11%.
[ Tue Sep 27 20:54:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:54:19 2022 ] Eval epoch: 76
[ Tue Sep 27 20:55:45 2022 ] 	Mean test loss of 796 batches: 1.1069594698036136.
[ Tue Sep 27 20:55:46 2022 ] 	Top1: 68.07%
[ Tue Sep 27 20:55:46 2022 ] 	Top5: 90.98%
[ Tue Sep 27 20:55:46 2022 ] Training epoch: 77
[ Tue Sep 27 21:00:41 2022 ] 	Mean training loss: 0.8071. loss2: 0.0000. Mean training acc: 75.79%.
[ Tue Sep 27 21:00:41 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:00:41 2022 ] Eval epoch: 77
[ Tue Sep 27 21:02:07 2022 ] 	Mean test loss of 796 batches: 1.1338859333764368.
[ Tue Sep 27 21:02:08 2022 ] 	Top1: 68.14%
[ Tue Sep 27 21:02:08 2022 ] 	Top5: 91.74%
[ Tue Sep 27 21:02:08 2022 ] Training epoch: 78
[ Tue Sep 27 21:07:03 2022 ] 	Mean training loss: 0.7963. loss2: 0.0000. Mean training acc: 76.11%.
[ Tue Sep 27 21:07:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:07:03 2022 ] Eval epoch: 78
[ Tue Sep 27 21:08:29 2022 ] 	Mean test loss of 796 batches: 1.141410927938756.
[ Tue Sep 27 21:08:29 2022 ] 	Top1: 67.02%
[ Tue Sep 27 21:08:30 2022 ] 	Top5: 91.52%
[ Tue Sep 27 21:08:30 2022 ] Training epoch: 79
[ Tue Sep 27 21:13:25 2022 ] 	Mean training loss: 0.8025. loss2: 0.0000. Mean training acc: 76.05%.
[ Tue Sep 27 21:13:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:13:25 2022 ] Eval epoch: 79
[ Tue Sep 27 21:14:51 2022 ] 	Mean test loss of 796 batches: 1.0779592293366116.
[ Tue Sep 27 21:14:51 2022 ] 	Top1: 67.81%
[ Tue Sep 27 21:14:52 2022 ] 	Top5: 92.26%
[ Tue Sep 27 21:14:52 2022 ] Training epoch: 80
[ Tue Sep 27 21:19:47 2022 ] 	Mean training loss: 0.7964. loss2: 0.0000. Mean training acc: 76.29%.
[ Tue Sep 27 21:19:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:19:47 2022 ] Eval epoch: 80
[ Tue Sep 27 21:21:13 2022 ] 	Mean test loss of 796 batches: 1.1199360459144392.
[ Tue Sep 27 21:21:13 2022 ] 	Top1: 67.12%
[ Tue Sep 27 21:21:14 2022 ] 	Top5: 91.81%
[ Tue Sep 27 21:21:14 2022 ] Training epoch: 81
[ Tue Sep 27 21:26:09 2022 ] 	Mean training loss: 0.8011. loss2: 0.0000. Mean training acc: 76.15%.
[ Tue Sep 27 21:26:09 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:26:09 2022 ] Eval epoch: 81
[ Tue Sep 27 21:27:35 2022 ] 	Mean test loss of 796 batches: 1.0543782637272048.
[ Tue Sep 27 21:27:36 2022 ] 	Top1: 69.39%
[ Tue Sep 27 21:27:36 2022 ] 	Top5: 92.43%
[ Tue Sep 27 21:27:36 2022 ] Training epoch: 82
[ Tue Sep 27 21:32:31 2022 ] 	Mean training loss: 0.8013. loss2: 0.0000. Mean training acc: 76.15%.
[ Tue Sep 27 21:32:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:32:31 2022 ] Eval epoch: 82
[ Tue Sep 27 21:33:57 2022 ] 	Mean test loss of 796 batches: 1.0334797116679761.
[ Tue Sep 27 21:33:58 2022 ] 	Top1: 69.93%
[ Tue Sep 27 21:33:58 2022 ] 	Top5: 92.52%
[ Tue Sep 27 21:33:58 2022 ] Training epoch: 83
[ Tue Sep 27 21:38:54 2022 ] 	Mean training loss: 0.7985. loss2: 0.0000. Mean training acc: 76.14%.
[ Tue Sep 27 21:38:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:38:54 2022 ] Eval epoch: 83
[ Tue Sep 27 21:40:20 2022 ] 	Mean test loss of 796 batches: 1.0582035525360298.
[ Tue Sep 27 21:40:20 2022 ] 	Top1: 68.77%
[ Tue Sep 27 21:40:21 2022 ] 	Top5: 92.62%
[ Tue Sep 27 21:40:21 2022 ] Training epoch: 84
[ Tue Sep 27 21:45:17 2022 ] 	Mean training loss: 0.7984. loss2: 0.0000. Mean training acc: 76.23%.
[ Tue Sep 27 21:45:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:45:17 2022 ] Eval epoch: 84
[ Tue Sep 27 21:46:43 2022 ] 	Mean test loss of 796 batches: 1.197274069690225.
[ Tue Sep 27 21:46:43 2022 ] 	Top1: 66.03%
[ Tue Sep 27 21:46:44 2022 ] 	Top5: 89.56%
[ Tue Sep 27 21:46:44 2022 ] Training epoch: 85
[ Tue Sep 27 21:51:39 2022 ] 	Mean training loss: 0.7981. loss2: 0.0000. Mean training acc: 76.18%.
[ Tue Sep 27 21:51:39 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:51:39 2022 ] Eval epoch: 85
[ Tue Sep 27 21:53:05 2022 ] 	Mean test loss of 796 batches: 1.074352296303265.
[ Tue Sep 27 21:53:05 2022 ] 	Top1: 68.96%
[ Tue Sep 27 21:53:06 2022 ] 	Top5: 92.23%
[ Tue Sep 27 21:53:06 2022 ] Training epoch: 86
[ Tue Sep 27 21:58:01 2022 ] 	Mean training loss: 0.8016. loss2: 0.0000. Mean training acc: 76.01%.
[ Tue Sep 27 21:58:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:58:01 2022 ] Eval epoch: 86
[ Tue Sep 27 21:59:27 2022 ] 	Mean test loss of 796 batches: 1.029049150383652.
[ Tue Sep 27 21:59:28 2022 ] 	Top1: 69.93%
[ Tue Sep 27 21:59:28 2022 ] 	Top5: 92.33%
[ Tue Sep 27 21:59:28 2022 ] Training epoch: 87
[ Tue Sep 27 22:04:24 2022 ] 	Mean training loss: 0.8021. loss2: 0.0000. Mean training acc: 76.05%.
[ Tue Sep 27 22:04:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:04:24 2022 ] Eval epoch: 87
[ Tue Sep 27 22:05:50 2022 ] 	Mean test loss of 796 batches: 0.9927929749515787.
[ Tue Sep 27 22:05:50 2022 ] 	Top1: 70.78%
[ Tue Sep 27 22:05:50 2022 ] 	Top5: 92.88%
[ Tue Sep 27 22:05:50 2022 ] Training epoch: 88
[ Tue Sep 27 22:10:46 2022 ] 	Mean training loss: 0.7929. loss2: 0.0000. Mean training acc: 76.32%.
[ Tue Sep 27 22:10:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:10:46 2022 ] Eval epoch: 88
[ Tue Sep 27 22:12:12 2022 ] 	Mean test loss of 796 batches: 1.4962586058518994.
[ Tue Sep 27 22:12:12 2022 ] 	Top1: 60.79%
[ Tue Sep 27 22:12:12 2022 ] 	Top5: 87.00%
[ Tue Sep 27 22:12:12 2022 ] Training epoch: 89
[ Tue Sep 27 22:17:08 2022 ] 	Mean training loss: 0.7982. loss2: 0.0000. Mean training acc: 75.97%.
[ Tue Sep 27 22:17:08 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:17:08 2022 ] Eval epoch: 89
[ Tue Sep 27 22:18:34 2022 ] 	Mean test loss of 796 batches: 0.9746265849613365.
[ Tue Sep 27 22:18:34 2022 ] 	Top1: 70.77%
[ Tue Sep 27 22:18:34 2022 ] 	Top5: 93.19%
[ Tue Sep 27 22:18:34 2022 ] Training epoch: 90
[ Tue Sep 27 22:23:30 2022 ] 	Mean training loss: 0.7987. loss2: 0.0000. Mean training acc: 75.96%.
[ Tue Sep 27 22:23:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:23:30 2022 ] Eval epoch: 90
[ Tue Sep 27 22:24:56 2022 ] 	Mean test loss of 796 batches: 1.1173490734967455.
[ Tue Sep 27 22:24:56 2022 ] 	Top1: 68.50%
[ Tue Sep 27 22:24:57 2022 ] 	Top5: 91.97%
[ Tue Sep 27 22:24:57 2022 ] Training epoch: 91
[ Tue Sep 27 22:29:52 2022 ] 	Mean training loss: 0.4786. loss2: 0.0000. Mean training acc: 85.59%.
[ Tue Sep 27 22:29:52 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:29:52 2022 ] Eval epoch: 91
[ Tue Sep 27 22:31:18 2022 ] 	Mean test loss of 796 batches: 0.6617147501127504.
[ Tue Sep 27 22:31:19 2022 ] 	Top1: 79.72%
[ Tue Sep 27 22:31:19 2022 ] 	Top5: 96.09%
[ Tue Sep 27 22:31:19 2022 ] Training epoch: 92
[ Tue Sep 27 22:36:15 2022 ] 	Mean training loss: 0.3901. loss2: 0.0000. Mean training acc: 88.31%.
[ Tue Sep 27 22:36:15 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:36:15 2022 ] Eval epoch: 92
[ Tue Sep 27 22:37:41 2022 ] 	Mean test loss of 796 batches: 0.6197409604362507.
[ Tue Sep 27 22:37:41 2022 ] 	Top1: 81.17%
[ Tue Sep 27 22:37:42 2022 ] 	Top5: 96.38%
[ Tue Sep 27 22:37:42 2022 ] Training epoch: 93
[ Tue Sep 27 22:42:38 2022 ] 	Mean training loss: 0.3534. loss2: 0.0000. Mean training acc: 89.45%.
[ Tue Sep 27 22:42:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:42:38 2022 ] Eval epoch: 93
[ Tue Sep 27 22:44:04 2022 ] 	Mean test loss of 796 batches: 0.6159867293028226.
[ Tue Sep 27 22:44:05 2022 ] 	Top1: 81.44%
[ Tue Sep 27 22:44:05 2022 ] 	Top5: 96.57%
[ Tue Sep 27 22:44:05 2022 ] Training epoch: 94
[ Tue Sep 27 22:49:00 2022 ] 	Mean training loss: 0.3300. loss2: 0.0000. Mean training acc: 90.18%.
[ Tue Sep 27 22:49:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:49:00 2022 ] Eval epoch: 94
[ Tue Sep 27 22:50:26 2022 ] 	Mean test loss of 796 batches: 0.624844464365786.
[ Tue Sep 27 22:50:26 2022 ] 	Top1: 81.28%
[ Tue Sep 27 22:50:27 2022 ] 	Top5: 96.48%
[ Tue Sep 27 22:50:27 2022 ] Training epoch: 95
[ Tue Sep 27 22:55:23 2022 ] 	Mean training loss: 0.3082. loss2: 0.0000. Mean training acc: 90.86%.
[ Tue Sep 27 22:55:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:55:23 2022 ] Eval epoch: 95
[ Tue Sep 27 22:56:49 2022 ] 	Mean test loss of 796 batches: 0.6338596099042263.
[ Tue Sep 27 22:56:49 2022 ] 	Top1: 81.07%
[ Tue Sep 27 22:56:49 2022 ] 	Top5: 96.39%
[ Tue Sep 27 22:56:49 2022 ] Training epoch: 96
[ Tue Sep 27 23:01:45 2022 ] 	Mean training loss: 0.2921. loss2: 0.0000. Mean training acc: 91.30%.
[ Tue Sep 27 23:01:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:01:45 2022 ] Eval epoch: 96
[ Tue Sep 27 23:03:11 2022 ] 	Mean test loss of 796 batches: 0.634045751971291.
[ Tue Sep 27 23:03:11 2022 ] 	Top1: 81.40%
[ Tue Sep 27 23:03:12 2022 ] 	Top5: 96.34%
[ Tue Sep 27 23:03:12 2022 ] Training epoch: 97
[ Tue Sep 27 23:08:07 2022 ] 	Mean training loss: 0.2789. loss2: 0.0000. Mean training acc: 91.79%.
[ Tue Sep 27 23:08:07 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:08:07 2022 ] Eval epoch: 97
[ Tue Sep 27 23:09:33 2022 ] 	Mean test loss of 796 batches: 0.6526227614013993.
[ Tue Sep 27 23:09:34 2022 ] 	Top1: 80.84%
[ Tue Sep 27 23:09:34 2022 ] 	Top5: 96.24%
[ Tue Sep 27 23:09:34 2022 ] Training epoch: 98
[ Tue Sep 27 23:14:29 2022 ] 	Mean training loss: 0.2708. loss2: 0.0000. Mean training acc: 92.01%.
[ Tue Sep 27 23:14:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:14:29 2022 ] Eval epoch: 98
[ Tue Sep 27 23:15:55 2022 ] 	Mean test loss of 796 batches: 0.664252979400095.
[ Tue Sep 27 23:15:56 2022 ] 	Top1: 80.79%
[ Tue Sep 27 23:15:56 2022 ] 	Top5: 96.24%
[ Tue Sep 27 23:15:56 2022 ] Training epoch: 99
[ Tue Sep 27 23:20:52 2022 ] 	Mean training loss: 0.2603. loss2: 0.0000. Mean training acc: 92.39%.
[ Tue Sep 27 23:20:52 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:20:52 2022 ] Eval epoch: 99
[ Tue Sep 27 23:22:18 2022 ] 	Mean test loss of 796 batches: 0.6599763276888497.
[ Tue Sep 27 23:22:18 2022 ] 	Top1: 80.59%
[ Tue Sep 27 23:22:18 2022 ] 	Top5: 96.39%
[ Tue Sep 27 23:22:18 2022 ] Training epoch: 100
[ Tue Sep 27 23:27:14 2022 ] 	Mean training loss: 0.2547. loss2: 0.0000. Mean training acc: 92.39%.
[ Tue Sep 27 23:27:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:27:14 2022 ] Eval epoch: 100
[ Tue Sep 27 23:28:40 2022 ] 	Mean test loss of 796 batches: 0.6466412749328655.
[ Tue Sep 27 23:28:40 2022 ] 	Top1: 80.92%
[ Tue Sep 27 23:28:41 2022 ] 	Top5: 96.44%
[ Tue Sep 27 23:28:41 2022 ] Training epoch: 101
[ Tue Sep 27 23:33:36 2022 ] 	Mean training loss: 0.1906. loss2: 0.0000. Mean training acc: 94.90%.
[ Tue Sep 27 23:33:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:33:36 2022 ] Eval epoch: 101
[ Tue Sep 27 23:35:02 2022 ] 	Mean test loss of 796 batches: 0.6135022240508367.
[ Tue Sep 27 23:35:02 2022 ] 	Top1: 82.30%
[ Tue Sep 27 23:35:03 2022 ] 	Top5: 96.60%
[ Tue Sep 27 23:35:03 2022 ] Training epoch: 102
[ Tue Sep 27 23:39:58 2022 ] 	Mean training loss: 0.1720. loss2: 0.0000. Mean training acc: 95.50%.
[ Tue Sep 27 23:39:58 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:39:58 2022 ] Eval epoch: 102
[ Tue Sep 27 23:41:24 2022 ] 	Mean test loss of 796 batches: 0.6182570097659101.
[ Tue Sep 27 23:41:25 2022 ] 	Top1: 82.15%
[ Tue Sep 27 23:41:25 2022 ] 	Top5: 96.58%
[ Tue Sep 27 23:41:25 2022 ] Training epoch: 103
[ Tue Sep 27 23:46:21 2022 ] 	Mean training loss: 0.1587. loss2: 0.0000. Mean training acc: 95.98%.
[ Tue Sep 27 23:46:21 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:46:21 2022 ] Eval epoch: 103
[ Tue Sep 27 23:47:47 2022 ] 	Mean test loss of 796 batches: 0.6048749599175237.
[ Tue Sep 27 23:47:47 2022 ] 	Top1: 82.73%
[ Tue Sep 27 23:47:47 2022 ] 	Top5: 96.69%
[ Tue Sep 27 23:47:48 2022 ] Training epoch: 104
[ Tue Sep 27 23:52:44 2022 ] 	Mean training loss: 0.1539. loss2: 0.0000. Mean training acc: 96.13%.
[ Tue Sep 27 23:52:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:52:44 2022 ] Eval epoch: 104
[ Tue Sep 27 23:54:10 2022 ] 	Mean test loss of 796 batches: 0.6208801331869023.
[ Tue Sep 27 23:54:10 2022 ] 	Top1: 82.27%
[ Tue Sep 27 23:54:10 2022 ] 	Top5: 96.62%
[ Tue Sep 27 23:54:11 2022 ] Training epoch: 105
[ Tue Sep 27 23:59:07 2022 ] 	Mean training loss: 0.1481. loss2: 0.0000. Mean training acc: 96.24%.
[ Tue Sep 27 23:59:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:59:07 2022 ] Eval epoch: 105
[ Wed Sep 28 00:00:32 2022 ] 	Mean test loss of 796 batches: 0.6219503517454518.
[ Wed Sep 28 00:00:33 2022 ] 	Top1: 82.35%
[ Wed Sep 28 00:00:33 2022 ] 	Top5: 96.59%
[ Wed Sep 28 00:00:33 2022 ] Training epoch: 106
[ Wed Sep 28 00:05:28 2022 ] 	Mean training loss: 0.1448. loss2: 0.0000. Mean training acc: 96.34%.
[ Wed Sep 28 00:05:28 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:05:28 2022 ] Eval epoch: 106
[ Wed Sep 28 00:06:54 2022 ] 	Mean test loss of 796 batches: 0.6696514296041212.
[ Wed Sep 28 00:06:54 2022 ] 	Top1: 81.01%
[ Wed Sep 28 00:06:55 2022 ] 	Top5: 96.25%
[ Wed Sep 28 00:06:55 2022 ] Training epoch: 107
[ Wed Sep 28 00:11:49 2022 ] 	Mean training loss: 0.1415. loss2: 0.0000. Mean training acc: 96.50%.
[ Wed Sep 28 00:11:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:11:50 2022 ] Eval epoch: 107
[ Wed Sep 28 00:13:15 2022 ] 	Mean test loss of 796 batches: 0.6365747082342005.
[ Wed Sep 28 00:13:16 2022 ] 	Top1: 82.05%
[ Wed Sep 28 00:13:16 2022 ] 	Top5: 96.43%
[ Wed Sep 28 00:13:16 2022 ] Training epoch: 108
[ Wed Sep 28 00:18:11 2022 ] 	Mean training loss: 0.1367. loss2: 0.0000. Mean training acc: 96.59%.
[ Wed Sep 28 00:18:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:18:11 2022 ] Eval epoch: 108
[ Wed Sep 28 00:19:36 2022 ] 	Mean test loss of 796 batches: 0.6400392299059348.
[ Wed Sep 28 00:19:37 2022 ] 	Top1: 82.17%
[ Wed Sep 28 00:19:37 2022 ] 	Top5: 96.44%
[ Wed Sep 28 00:19:37 2022 ] Training epoch: 109
[ Wed Sep 28 00:24:32 2022 ] 	Mean training loss: 0.1346. loss2: 0.0000. Mean training acc: 96.72%.
[ Wed Sep 28 00:24:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:24:32 2022 ] Eval epoch: 109
[ Wed Sep 28 00:25:57 2022 ] 	Mean test loss of 796 batches: 0.6469995500660272.
[ Wed Sep 28 00:25:58 2022 ] 	Top1: 81.93%
[ Wed Sep 28 00:25:58 2022 ] 	Top5: 96.35%
[ Wed Sep 28 00:25:58 2022 ] Training epoch: 110
[ Wed Sep 28 00:30:50 2022 ] 	Mean training loss: 0.1310. loss2: 0.0000. Mean training acc: 96.84%.
[ Wed Sep 28 00:30:50 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:30:51 2022 ] Eval epoch: 110
[ Wed Sep 28 00:32:16 2022 ] 	Mean test loss of 796 batches: 0.6352352908012181.
[ Wed Sep 28 00:32:16 2022 ] 	Top1: 82.21%
[ Wed Sep 28 00:32:16 2022 ] 	Top5: 96.52%
[ Wed Sep 28 00:33:43 2022 ] Best accuracy: 0.8272746911761818
[ Wed Sep 28 00:33:43 2022 ] Epoch number: 103
[ Wed Sep 28 00:33:43 2022 ] Model name: work_dir/ntu120/csub/fc_vel
[ Wed Sep 28 00:33:43 2022 ] Model total number of params: 2112877
[ Wed Sep 28 00:33:43 2022 ] Weight decay: 0.0004
[ Wed Sep 28 00:33:43 2022 ] Base LR: 0.1
[ Wed Sep 28 00:33:43 2022 ] Batch Size: 64
[ Wed Sep 28 00:33:43 2022 ] Test Batch Size: 64
[ Wed Sep 28 00:33:43 2022 ] seed: 1
