[ Tue Sep 27 12:48:02 2022 ] using warm up, epoch: 5
[ Tue Sep 27 12:48:26 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/csub/fc_bone', 'model_saved_name': 'work_dir/ntu120/csub/fc_bone/runs', 'config': 'config/nturgbd120-cross-subject/fc_bone.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': False, 'bone': True}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSub.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': False, 'bone': True, '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': [1], '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 12:48:26 2022 ] # Parameters: 2112877
[ Tue Sep 27 12:48:26 2022 ] Training epoch: 1
[ Tue Sep 27 12:53:22 2022 ] 	Mean training loss: 3.1792. loss2: 0.0000. Mean training acc: 23.75%.
[ Tue Sep 27 12:53:22 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 12:53:22 2022 ] Eval epoch: 1
[ Tue Sep 27 12:54:48 2022 ] 	Mean test loss of 796 batches: 2.3822747515374094.
[ Tue Sep 27 12:54:49 2022 ] 	Top1: 35.46%
[ Tue Sep 27 12:54:49 2022 ] 	Top5: 71.43%
[ Tue Sep 27 12:54:49 2022 ] Training epoch: 2
[ Tue Sep 27 12:59:43 2022 ] 	Mean training loss: 1.8660. loss2: 0.0000. Mean training acc: 47.92%.
[ Tue Sep 27 12:59:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 12:59:43 2022 ] Eval epoch: 2
[ Tue Sep 27 13:01:08 2022 ] 	Mean test loss of 796 batches: 1.5746839423874515.
[ Tue Sep 27 13:01:09 2022 ] 	Top1: 54.63%
[ Tue Sep 27 13:01:09 2022 ] 	Top5: 85.51%
[ Tue Sep 27 13:01:09 2022 ] Training epoch: 3
[ Tue Sep 27 13:06:04 2022 ] 	Mean training loss: 1.4380. loss2: 0.0000. Mean training acc: 58.31%.
[ Tue Sep 27 13:06:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 13:06:04 2022 ] Eval epoch: 3
[ Tue Sep 27 13:07:30 2022 ] 	Mean test loss of 796 batches: 1.4455855437109817.
[ Tue Sep 27 13:07:30 2022 ] 	Top1: 58.10%
[ Tue Sep 27 13:07:31 2022 ] 	Top5: 86.84%
[ Tue Sep 27 13:07:31 2022 ] Training epoch: 4
[ Tue Sep 27 13:12:26 2022 ] 	Mean training loss: 1.2426. loss2: 0.0000. Mean training acc: 63.53%.
[ Tue Sep 27 13:12:26 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:12:26 2022 ] Eval epoch: 4
[ Tue Sep 27 13:13:52 2022 ] 	Mean test loss of 796 batches: 1.5189381136966111.
[ Tue Sep 27 13:13:52 2022 ] 	Top1: 57.41%
[ Tue Sep 27 13:13:52 2022 ] 	Top5: 86.95%
[ Tue Sep 27 13:13:52 2022 ] Training epoch: 5
[ Tue Sep 27 13:18:47 2022 ] 	Mean training loss: 1.1515. loss2: 0.0000. Mean training acc: 66.08%.
[ Tue Sep 27 13:18:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:18:47 2022 ] Eval epoch: 5
[ Tue Sep 27 13:20:13 2022 ] 	Mean test loss of 796 batches: 1.21433808388722.
[ Tue Sep 27 13:20:14 2022 ] 	Top1: 62.94%
[ Tue Sep 27 13:20:14 2022 ] 	Top5: 90.98%
[ Tue Sep 27 13:20:14 2022 ] Training epoch: 6
[ Tue Sep 27 13:25:09 2022 ] 	Mean training loss: 1.0336. loss2: 0.0000. Mean training acc: 69.33%.
[ Tue Sep 27 13:25:09 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 13:25:09 2022 ] Eval epoch: 6
[ Tue Sep 27 13:26:35 2022 ] 	Mean test loss of 796 batches: 1.17042011838762.
[ Tue Sep 27 13:26:35 2022 ] 	Top1: 65.59%
[ Tue Sep 27 13:26:36 2022 ] 	Top5: 90.84%
[ Tue Sep 27 13:26:36 2022 ] Training epoch: 7
[ Tue Sep 27 13:31:31 2022 ] 	Mean training loss: 0.9605. loss2: 0.0000. Mean training acc: 71.16%.
[ Tue Sep 27 13:31:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:31:31 2022 ] Eval epoch: 7
[ Tue Sep 27 13:32:56 2022 ] 	Mean test loss of 796 batches: 1.2132868913549875.
[ Tue Sep 27 13:32:57 2022 ] 	Top1: 64.79%
[ Tue Sep 27 13:32:57 2022 ] 	Top5: 90.26%
[ Tue Sep 27 13:32:57 2022 ] Training epoch: 8
[ Tue Sep 27 13:37:54 2022 ] 	Mean training loss: 0.9080. loss2: 0.0000. Mean training acc: 72.64%.
[ Tue Sep 27 13:37:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:37:54 2022 ] Eval epoch: 8
[ Tue Sep 27 13:39:20 2022 ] 	Mean test loss of 796 batches: 1.236404789527457.
[ Tue Sep 27 13:39:21 2022 ] 	Top1: 64.58%
[ Tue Sep 27 13:39:21 2022 ] 	Top5: 91.00%
[ Tue Sep 27 13:39:21 2022 ] Training epoch: 9
[ Tue Sep 27 13:44:16 2022 ] 	Mean training loss: 0.8702. loss2: 0.0000. Mean training acc: 73.83%.
[ Tue Sep 27 13:44:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:44:16 2022 ] Eval epoch: 9
[ Tue Sep 27 13:45:42 2022 ] 	Mean test loss of 796 batches: 1.1394619151725243.
[ Tue Sep 27 13:45:43 2022 ] 	Top1: 66.81%
[ Tue Sep 27 13:45:43 2022 ] 	Top5: 91.84%
[ Tue Sep 27 13:45:43 2022 ] Training epoch: 10
[ Tue Sep 27 13:50:38 2022 ] 	Mean training loss: 0.8347. loss2: 0.0000. Mean training acc: 74.96%.
[ Tue Sep 27 13:50:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:50:38 2022 ] Eval epoch: 10
[ Tue Sep 27 13:52:04 2022 ] 	Mean test loss of 796 batches: 1.0010516624429717.
[ Tue Sep 27 13:52:04 2022 ] 	Top1: 70.80%
[ Tue Sep 27 13:52:05 2022 ] 	Top5: 93.24%
[ Tue Sep 27 13:52:05 2022 ] Training epoch: 11
[ Tue Sep 27 13:57:00 2022 ] 	Mean training loss: 0.8151. loss2: 0.0000. Mean training acc: 75.54%.
[ Tue Sep 27 13:57:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:57:00 2022 ] Eval epoch: 11
[ Tue Sep 27 13:58:26 2022 ] 	Mean test loss of 796 batches: 1.220932117396563.
[ Tue Sep 27 13:58:26 2022 ] 	Top1: 64.91%
[ Tue Sep 27 13:58:27 2022 ] 	Top5: 90.79%
[ Tue Sep 27 13:58:27 2022 ] Training epoch: 12
[ Tue Sep 27 14:03:22 2022 ] 	Mean training loss: 0.7864. loss2: 0.0000. Mean training acc: 76.38%.
[ Tue Sep 27 14:03:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:03:22 2022 ] Eval epoch: 12
[ Tue Sep 27 14:04:48 2022 ] 	Mean test loss of 796 batches: 0.9275467389417653.
[ Tue Sep 27 14:04:48 2022 ] 	Top1: 72.52%
[ Tue Sep 27 14:04:49 2022 ] 	Top5: 93.57%
[ Tue Sep 27 14:04:49 2022 ] Training epoch: 13
[ Tue Sep 27 14:09:44 2022 ] 	Mean training loss: 0.7757. loss2: 0.0000. Mean training acc: 76.67%.
[ Tue Sep 27 14:09:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:09:44 2022 ] Eval epoch: 13
[ Tue Sep 27 14:11:10 2022 ] 	Mean test loss of 796 batches: 0.9406123956918118.
[ Tue Sep 27 14:11:10 2022 ] 	Top1: 72.50%
[ Tue Sep 27 14:11:11 2022 ] 	Top5: 93.76%
[ Tue Sep 27 14:11:11 2022 ] Training epoch: 14
[ Tue Sep 27 14:16:06 2022 ] 	Mean training loss: 0.7584. loss2: 0.0000. Mean training acc: 77.05%.
[ Tue Sep 27 14:16:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:16:06 2022 ] Eval epoch: 14
[ Tue Sep 27 14:17:32 2022 ] 	Mean test loss of 796 batches: 1.119428873137014.
[ Tue Sep 27 14:17:33 2022 ] 	Top1: 68.20%
[ Tue Sep 27 14:17:33 2022 ] 	Top5: 91.60%
[ Tue Sep 27 14:17:33 2022 ] Training epoch: 15
[ Tue Sep 27 14:22:28 2022 ] 	Mean training loss: 0.7524. loss2: 0.0000. Mean training acc: 77.22%.
[ Tue Sep 27 14:22:28 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 14:22:28 2022 ] Eval epoch: 15
[ Tue Sep 27 14:23:54 2022 ] 	Mean test loss of 796 batches: 1.3055142695879816.
[ Tue Sep 27 14:23:54 2022 ] 	Top1: 65.29%
[ Tue Sep 27 14:23:55 2022 ] 	Top5: 89.47%
[ Tue Sep 27 14:23:55 2022 ] Training epoch: 16
[ Tue Sep 27 14:28:50 2022 ] 	Mean training loss: 0.7481. loss2: 0.0000. Mean training acc: 77.37%.
[ Tue Sep 27 14:28:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:28:50 2022 ] Eval epoch: 16
[ Tue Sep 27 14:30:16 2022 ] 	Mean test loss of 796 batches: 1.0530310662547548.
[ Tue Sep 27 14:30:16 2022 ] 	Top1: 69.78%
[ Tue Sep 27 14:30:16 2022 ] 	Top5: 92.54%
[ Tue Sep 27 14:30:16 2022 ] Training epoch: 17
[ Tue Sep 27 14:35:12 2022 ] 	Mean training loss: 0.7322. loss2: 0.0000. Mean training acc: 77.86%.
[ Tue Sep 27 14:35:12 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:35:12 2022 ] Eval epoch: 17
[ Tue Sep 27 14:36:38 2022 ] 	Mean test loss of 796 batches: 1.0954735707772436.
[ Tue Sep 27 14:36:39 2022 ] 	Top1: 69.70%
[ Tue Sep 27 14:36:39 2022 ] 	Top5: 92.40%
[ Tue Sep 27 14:36:39 2022 ] Training epoch: 18
[ Tue Sep 27 14:41:35 2022 ] 	Mean training loss: 0.7285. loss2: 0.0000. Mean training acc: 77.95%.
[ Tue Sep 27 14:41:35 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:41:35 2022 ] Eval epoch: 18
[ Tue Sep 27 14:43:01 2022 ] 	Mean test loss of 796 batches: 1.0263066274586634.
[ Tue Sep 27 14:43:01 2022 ] 	Top1: 70.49%
[ Tue Sep 27 14:43:02 2022 ] 	Top5: 92.63%
[ Tue Sep 27 14:43:02 2022 ] Training epoch: 19
[ Tue Sep 27 14:47:57 2022 ] 	Mean training loss: 0.7199. loss2: 0.0000. Mean training acc: 78.32%.
[ Tue Sep 27 14:47:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:47:57 2022 ] Eval epoch: 19
[ Tue Sep 27 14:49:23 2022 ] 	Mean test loss of 796 batches: 0.9623236234238999.
[ Tue Sep 27 14:49:23 2022 ] 	Top1: 71.87%
[ Tue Sep 27 14:49:24 2022 ] 	Top5: 93.47%
[ Tue Sep 27 14:49:24 2022 ] Training epoch: 20
[ Tue Sep 27 14:54:18 2022 ] 	Mean training loss: 0.7141. loss2: 0.0000. Mean training acc: 78.55%.
[ Tue Sep 27 14:54:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:54:18 2022 ] Eval epoch: 20
[ Tue Sep 27 14:55:44 2022 ] 	Mean test loss of 796 batches: 0.8778934386095509.
[ Tue Sep 27 14:55:44 2022 ] 	Top1: 74.05%
[ Tue Sep 27 14:55:45 2022 ] 	Top5: 94.07%
[ Tue Sep 27 14:55:45 2022 ] Training epoch: 21
[ Tue Sep 27 15:00:39 2022 ] 	Mean training loss: 0.7154. loss2: 0.0000. Mean training acc: 78.36%.
[ Tue Sep 27 15:00:39 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:00:39 2022 ] Eval epoch: 21
[ Tue Sep 27 15:02:05 2022 ] 	Mean test loss of 796 batches: 0.9545001958183308.
[ Tue Sep 27 15:02:06 2022 ] 	Top1: 71.34%
[ Tue Sep 27 15:02:06 2022 ] 	Top5: 94.05%
[ Tue Sep 27 15:02:06 2022 ] Training epoch: 22
[ Tue Sep 27 15:07:01 2022 ] 	Mean training loss: 0.7042. loss2: 0.0000. Mean training acc: 78.65%.
[ Tue Sep 27 15:07:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:07:01 2022 ] Eval epoch: 22
[ Tue Sep 27 15:08:27 2022 ] 	Mean test loss of 796 batches: 0.9495762104365095.
[ Tue Sep 27 15:08:27 2022 ] 	Top1: 72.72%
[ Tue Sep 27 15:08:28 2022 ] 	Top5: 93.75%
[ Tue Sep 27 15:08:28 2022 ] Training epoch: 23
[ Tue Sep 27 15:13:23 2022 ] 	Mean training loss: 0.7055. loss2: 0.0000. Mean training acc: 78.64%.
[ Tue Sep 27 15:13:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:13:23 2022 ] Eval epoch: 23
[ Tue Sep 27 15:14:48 2022 ] 	Mean test loss of 796 batches: 0.928706747540577.
[ Tue Sep 27 15:14:49 2022 ] 	Top1: 72.92%
[ Tue Sep 27 15:14:49 2022 ] 	Top5: 93.89%
[ Tue Sep 27 15:14:49 2022 ] Training epoch: 24
[ Tue Sep 27 15:19:44 2022 ] 	Mean training loss: 0.7041. loss2: 0.0000. Mean training acc: 78.62%.
[ Tue Sep 27 15:19:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:19:44 2022 ] Eval epoch: 24
[ Tue Sep 27 15:21:10 2022 ] 	Mean test loss of 796 batches: 1.0308029061585815.
[ Tue Sep 27 15:21:10 2022 ] 	Top1: 70.63%
[ Tue Sep 27 15:21:11 2022 ] 	Top5: 92.33%
[ Tue Sep 27 15:21:11 2022 ] Training epoch: 25
[ Tue Sep 27 15:26:07 2022 ] 	Mean training loss: 0.6978. loss2: 0.0000. Mean training acc: 78.88%.
[ Tue Sep 27 15:26:07 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:26:07 2022 ] Eval epoch: 25
[ Tue Sep 27 15:27:32 2022 ] 	Mean test loss of 796 batches: 1.0789482523148983.
[ Tue Sep 27 15:27:33 2022 ] 	Top1: 69.87%
[ Tue Sep 27 15:27:33 2022 ] 	Top5: 91.35%
[ Tue Sep 27 15:27:33 2022 ] Training epoch: 26
[ Tue Sep 27 15:32:29 2022 ] 	Mean training loss: 0.6910. loss2: 0.0000. Mean training acc: 78.97%.
[ Tue Sep 27 15:32:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:32:29 2022 ] Eval epoch: 26
[ Tue Sep 27 15:33:54 2022 ] 	Mean test loss of 796 batches: 1.000168835472821.
[ Tue Sep 27 15:33:55 2022 ] 	Top1: 71.00%
[ Tue Sep 27 15:33:55 2022 ] 	Top5: 93.60%
[ Tue Sep 27 15:33:55 2022 ] Training epoch: 27
[ Tue Sep 27 15:38:51 2022 ] 	Mean training loss: 0.6944. loss2: 0.0000. Mean training acc: 79.14%.
[ Tue Sep 27 15:38:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:38:51 2022 ] Eval epoch: 27
[ Tue Sep 27 15:40:17 2022 ] 	Mean test loss of 796 batches: 1.043407236604984.
[ Tue Sep 27 15:40:18 2022 ] 	Top1: 70.55%
[ Tue Sep 27 15:40:19 2022 ] 	Top5: 92.58%
[ Tue Sep 27 15:40:19 2022 ] Training epoch: 28
[ Tue Sep 27 15:45:13 2022 ] 	Mean training loss: 0.6836. loss2: 0.0000. Mean training acc: 79.28%.
[ Tue Sep 27 15:45:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:45:13 2022 ] Eval epoch: 28
[ Tue Sep 27 15:46:39 2022 ] 	Mean test loss of 796 batches: 0.8838807021328552.
[ Tue Sep 27 15:46:40 2022 ] 	Top1: 73.68%
[ Tue Sep 27 15:46:40 2022 ] 	Top5: 94.17%
[ Tue Sep 27 15:46:40 2022 ] Training epoch: 29
[ Tue Sep 27 15:51:35 2022 ] 	Mean training loss: 0.6852. loss2: 0.0000. Mean training acc: 79.27%.
[ Tue Sep 27 15:51:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 15:51:35 2022 ] Eval epoch: 29
[ Tue Sep 27 15:53:01 2022 ] 	Mean test loss of 796 batches: 1.0147884223404242.
[ Tue Sep 27 15:53:01 2022 ] 	Top1: 70.33%
[ Tue Sep 27 15:53:02 2022 ] 	Top5: 92.85%
[ Tue Sep 27 15:53:02 2022 ] Training epoch: 30
[ Tue Sep 27 15:57:57 2022 ] 	Mean training loss: 0.6804. loss2: 0.0000. Mean training acc: 79.20%.
[ Tue Sep 27 15:57:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:57:57 2022 ] Eval epoch: 30
[ Tue Sep 27 15:59:23 2022 ] 	Mean test loss of 796 batches: 1.0638907785017286.
[ Tue Sep 27 15:59:23 2022 ] 	Top1: 70.42%
[ Tue Sep 27 15:59:24 2022 ] 	Top5: 92.97%
[ Tue Sep 27 15:59:24 2022 ] Training epoch: 31
[ Tue Sep 27 16:04:19 2022 ] 	Mean training loss: 0.6763. loss2: 0.0000. Mean training acc: 79.35%.
[ Tue Sep 27 16:04:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:04:19 2022 ] Eval epoch: 31
[ Tue Sep 27 16:05:45 2022 ] 	Mean test loss of 796 batches: 0.9992482680172178.
[ Tue Sep 27 16:05:45 2022 ] 	Top1: 71.05%
[ Tue Sep 27 16:05:45 2022 ] 	Top5: 92.81%
[ Tue Sep 27 16:05:46 2022 ] Training epoch: 32
[ Tue Sep 27 16:10:40 2022 ] 	Mean training loss: 0.6784. loss2: 0.0000. Mean training acc: 79.47%.
[ Tue Sep 27 16:10:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:10:40 2022 ] Eval epoch: 32
[ Tue Sep 27 16:12:06 2022 ] 	Mean test loss of 796 batches: 0.909895043913743.
[ Tue Sep 27 16:12:07 2022 ] 	Top1: 73.41%
[ Tue Sep 27 16:12:07 2022 ] 	Top5: 93.79%
[ Tue Sep 27 16:12:07 2022 ] Training epoch: 33
[ Tue Sep 27 16:17:02 2022 ] 	Mean training loss: 0.6764. loss2: 0.0000. Mean training acc: 79.41%.
[ Tue Sep 27 16:17:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:17:02 2022 ] Eval epoch: 33
[ Tue Sep 27 16:18:28 2022 ] 	Mean test loss of 796 batches: 0.904165612355848.
[ Tue Sep 27 16:18:28 2022 ] 	Top1: 73.22%
[ Tue Sep 27 16:18:28 2022 ] 	Top5: 94.55%
[ Tue Sep 27 16:18:29 2022 ] Training epoch: 34
[ Tue Sep 27 16:23:24 2022 ] 	Mean training loss: 0.6732. loss2: 0.0000. Mean training acc: 79.44%.
[ Tue Sep 27 16:23:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:23:24 2022 ] Eval epoch: 34
[ Tue Sep 27 16:24:50 2022 ] 	Mean test loss of 796 batches: 0.9356336089309736.
[ Tue Sep 27 16:24:50 2022 ] 	Top1: 73.22%
[ Tue Sep 27 16:24:50 2022 ] 	Top5: 93.76%
[ Tue Sep 27 16:24:50 2022 ] Training epoch: 35
[ Tue Sep 27 16:29:46 2022 ] 	Mean training loss: 0.6732. loss2: 0.0000. Mean training acc: 79.70%.
[ Tue Sep 27 16:29:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:29:46 2022 ] Eval epoch: 35
[ Tue Sep 27 16:31:11 2022 ] 	Mean test loss of 796 batches: 1.2243585583927044.
[ Tue Sep 27 16:31:12 2022 ] 	Top1: 66.59%
[ Tue Sep 27 16:31:12 2022 ] 	Top5: 90.87%
[ Tue Sep 27 16:31:12 2022 ] Training epoch: 36
[ Tue Sep 27 16:36:07 2022 ] 	Mean training loss: 0.6732. loss2: 0.0000. Mean training acc: 79.62%.
[ Tue Sep 27 16:36:07 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:36:07 2022 ] Eval epoch: 36
[ Tue Sep 27 16:37:33 2022 ] 	Mean test loss of 796 batches: 0.8723293965186306.
[ Tue Sep 27 16:37:33 2022 ] 	Top1: 74.28%
[ Tue Sep 27 16:37:34 2022 ] 	Top5: 94.34%
[ Tue Sep 27 16:37:34 2022 ] Training epoch: 37
[ Tue Sep 27 16:42:30 2022 ] 	Mean training loss: 0.6720. loss2: 0.0000. Mean training acc: 79.51%.
[ Tue Sep 27 16:42:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 16:42:30 2022 ] Eval epoch: 37
[ Tue Sep 27 16:43:56 2022 ] 	Mean test loss of 796 batches: 0.8940649795060481.
[ Tue Sep 27 16:43:56 2022 ] 	Top1: 74.01%
[ Tue Sep 27 16:43:57 2022 ] 	Top5: 94.52%
[ Tue Sep 27 16:43:57 2022 ] Training epoch: 38
[ Tue Sep 27 16:48:52 2022 ] 	Mean training loss: 0.6705. loss2: 0.0000. Mean training acc: 79.61%.
[ Tue Sep 27 16:48:52 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:48:52 2022 ] Eval epoch: 38
[ Tue Sep 27 16:50:18 2022 ] 	Mean test loss of 796 batches: 1.4353579396578535.
[ Tue Sep 27 16:50:19 2022 ] 	Top1: 63.20%
[ Tue Sep 27 16:50:19 2022 ] 	Top5: 88.16%
[ Tue Sep 27 16:50:19 2022 ] Training epoch: 39
[ Tue Sep 27 16:55:14 2022 ] 	Mean training loss: 0.6690. loss2: 0.0000. Mean training acc: 79.76%.
[ Tue Sep 27 16:55:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:55:14 2022 ] Eval epoch: 39
[ Tue Sep 27 16:56:40 2022 ] 	Mean test loss of 796 batches: 1.0171577861186247.
[ Tue Sep 27 16:56:40 2022 ] 	Top1: 71.44%
[ Tue Sep 27 16:56:41 2022 ] 	Top5: 92.66%
[ Tue Sep 27 16:56:41 2022 ] Training epoch: 40
[ Tue Sep 27 17:01:36 2022 ] 	Mean training loss: 0.6664. loss2: 0.0000. Mean training acc: 79.65%.
[ Tue Sep 27 17:01:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:01:36 2022 ] Eval epoch: 40
[ Tue Sep 27 17:03:02 2022 ] 	Mean test loss of 796 batches: 0.8652361967231161.
[ Tue Sep 27 17:03:03 2022 ] 	Top1: 74.50%
[ Tue Sep 27 17:03:03 2022 ] 	Top5: 94.47%
[ Tue Sep 27 17:03:03 2022 ] Training epoch: 41
[ Tue Sep 27 17:07:59 2022 ] 	Mean training loss: 0.6711. loss2: 0.0000. Mean training acc: 79.51%.
[ Tue Sep 27 17:07:59 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:07:59 2022 ] Eval epoch: 41
[ Tue Sep 27 17:09:25 2022 ] 	Mean test loss of 796 batches: 0.9468181006348313.
[ Tue Sep 27 17:09:25 2022 ] 	Top1: 72.56%
[ Tue Sep 27 17:09:26 2022 ] 	Top5: 93.79%
[ Tue Sep 27 17:09:26 2022 ] Training epoch: 42
[ Tue Sep 27 17:14:20 2022 ] 	Mean training loss: 0.6703. loss2: 0.0000. Mean training acc: 79.68%.
[ Tue Sep 27 17:14:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:14:20 2022 ] Eval epoch: 42
[ Tue Sep 27 17:15:46 2022 ] 	Mean test loss of 796 batches: 0.862674235455205.
[ Tue Sep 27 17:15:47 2022 ] 	Top1: 74.19%
[ Tue Sep 27 17:15:47 2022 ] 	Top5: 94.40%
[ Tue Sep 27 17:15:47 2022 ] Training epoch: 43
[ Tue Sep 27 17:20:42 2022 ] 	Mean training loss: 0.6617. loss2: 0.0000. Mean training acc: 79.75%.
[ Tue Sep 27 17:20:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:20:42 2022 ] Eval epoch: 43
[ Tue Sep 27 17:22:09 2022 ] 	Mean test loss of 796 batches: 1.0917475623401565.
[ Tue Sep 27 17:22:09 2022 ] 	Top1: 69.52%
[ Tue Sep 27 17:22:09 2022 ] 	Top5: 92.88%
[ Tue Sep 27 17:22:09 2022 ] Training epoch: 44
[ Tue Sep 27 17:27:04 2022 ] 	Mean training loss: 0.6606. loss2: 0.0000. Mean training acc: 79.94%.
[ Tue Sep 27 17:27:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:27:05 2022 ] Eval epoch: 44
[ Tue Sep 27 17:28:30 2022 ] 	Mean test loss of 796 batches: 0.8743406650072066.
[ Tue Sep 27 17:28:31 2022 ] 	Top1: 74.77%
[ Tue Sep 27 17:28:31 2022 ] 	Top5: 94.12%
[ Tue Sep 27 17:28:31 2022 ] Training epoch: 45
[ Tue Sep 27 17:33:27 2022 ] 	Mean training loss: 0.6514. loss2: 0.0000. Mean training acc: 80.28%.
[ Tue Sep 27 17:33:27 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:33:27 2022 ] Eval epoch: 45
[ Tue Sep 27 17:34:52 2022 ] 	Mean test loss of 796 batches: 0.9479405216535731.
[ Tue Sep 27 17:34:53 2022 ] 	Top1: 72.92%
[ Tue Sep 27 17:34:53 2022 ] 	Top5: 93.13%
[ Tue Sep 27 17:34:53 2022 ] Training epoch: 46
[ Tue Sep 27 17:39:48 2022 ] 	Mean training loss: 0.6665. loss2: 0.0000. Mean training acc: 79.83%.
[ Tue Sep 27 17:39:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:39:48 2022 ] Eval epoch: 46
[ Tue Sep 27 17:41:14 2022 ] 	Mean test loss of 796 batches: 0.9424318090904897.
[ Tue Sep 27 17:41:15 2022 ] 	Top1: 73.21%
[ Tue Sep 27 17:41:15 2022 ] 	Top5: 93.61%
[ Tue Sep 27 17:41:15 2022 ] Training epoch: 47
[ Tue Sep 27 17:46:10 2022 ] 	Mean training loss: 0.6605. loss2: 0.0000. Mean training acc: 80.11%.
[ Tue Sep 27 17:46:10 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:46:10 2022 ] Eval epoch: 47
[ Tue Sep 27 17:47:36 2022 ] 	Mean test loss of 796 batches: 0.8397023758322151.
[ Tue Sep 27 17:47:36 2022 ] 	Top1: 75.32%
[ Tue Sep 27 17:47:37 2022 ] 	Top5: 94.17%
[ Tue Sep 27 17:47:37 2022 ] Training epoch: 48
[ Tue Sep 27 17:52:32 2022 ] 	Mean training loss: 0.6558. loss2: 0.0000. Mean training acc: 80.03%.
[ Tue Sep 27 17:52:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:52:32 2022 ] Eval epoch: 48
[ Tue Sep 27 17:53:58 2022 ] 	Mean test loss of 796 batches: 0.9592043035593464.
[ Tue Sep 27 17:53:58 2022 ] 	Top1: 72.66%
[ Tue Sep 27 17:53:59 2022 ] 	Top5: 93.29%
[ Tue Sep 27 17:53:59 2022 ] Training epoch: 49
[ Tue Sep 27 17:58:54 2022 ] 	Mean training loss: 0.6610. loss2: 0.0000. Mean training acc: 79.90%.
[ Tue Sep 27 17:58:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:58:54 2022 ] Eval epoch: 49
[ Tue Sep 27 18:00:20 2022 ] 	Mean test loss of 796 batches: 0.9229264519172697.
[ Tue Sep 27 18:00:21 2022 ] 	Top1: 73.51%
[ Tue Sep 27 18:00:21 2022 ] 	Top5: 93.67%
[ Tue Sep 27 18:00:21 2022 ] Training epoch: 50
[ Tue Sep 27 18:05:16 2022 ] 	Mean training loss: 0.6588. loss2: 0.0000. Mean training acc: 79.87%.
[ Tue Sep 27 18:05:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:05:16 2022 ] Eval epoch: 50
[ Tue Sep 27 18:06:42 2022 ] 	Mean test loss of 796 batches: 0.9087650628957018.
[ Tue Sep 27 18:06:43 2022 ] 	Top1: 73.95%
[ Tue Sep 27 18:06:43 2022 ] 	Top5: 93.47%
[ Tue Sep 27 18:06:43 2022 ] Training epoch: 51
[ Tue Sep 27 18:11:38 2022 ] 	Mean training loss: 0.6588. loss2: 0.0000. Mean training acc: 79.96%.
[ Tue Sep 27 18:11:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:11:38 2022 ] Eval epoch: 51
[ Tue Sep 27 18:13:04 2022 ] 	Mean test loss of 796 batches: 0.8958273920881089.
[ Tue Sep 27 18:13:05 2022 ] 	Top1: 74.09%
[ Tue Sep 27 18:13:05 2022 ] 	Top5: 93.98%
[ Tue Sep 27 18:13:05 2022 ] Training epoch: 52
[ Tue Sep 27 18:18:00 2022 ] 	Mean training loss: 0.6521. loss2: 0.0000. Mean training acc: 80.18%.
[ Tue Sep 27 18:18:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:18:00 2022 ] Eval epoch: 52
[ Tue Sep 27 18:19:26 2022 ] 	Mean test loss of 796 batches: 0.8093207948958155.
[ Tue Sep 27 18:19:27 2022 ] 	Top1: 75.83%
[ Tue Sep 27 18:19:27 2022 ] 	Top5: 94.99%
[ Tue Sep 27 18:19:27 2022 ] Training epoch: 53
[ Tue Sep 27 18:24:22 2022 ] 	Mean training loss: 0.6580. loss2: 0.0000. Mean training acc: 79.94%.
[ Tue Sep 27 18:24:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:24:22 2022 ] Eval epoch: 53
[ Tue Sep 27 18:25:48 2022 ] 	Mean test loss of 796 batches: 0.9142513082704352.
[ Tue Sep 27 18:25:48 2022 ] 	Top1: 73.22%
[ Tue Sep 27 18:25:48 2022 ] 	Top5: 93.83%
[ Tue Sep 27 18:25:48 2022 ] Training epoch: 54
[ Tue Sep 27 18:30:43 2022 ] 	Mean training loss: 0.6546. loss2: 0.0000. Mean training acc: 80.12%.
[ Tue Sep 27 18:30:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:30:43 2022 ] Eval epoch: 54
[ Tue Sep 27 18:32:09 2022 ] 	Mean test loss of 796 batches: 0.9125151435034958.
[ Tue Sep 27 18:32:10 2022 ] 	Top1: 74.08%
[ Tue Sep 27 18:32:10 2022 ] 	Top5: 94.16%
[ Tue Sep 27 18:32:10 2022 ] Training epoch: 55
[ Tue Sep 27 18:37:06 2022 ] 	Mean training loss: 0.6536. loss2: 0.0000. Mean training acc: 80.07%.
[ Tue Sep 27 18:37:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:37:06 2022 ] Eval epoch: 55
[ Tue Sep 27 18:38:32 2022 ] 	Mean test loss of 796 batches: 0.8619295783228611.
[ Tue Sep 27 18:38:32 2022 ] 	Top1: 74.74%
[ Tue Sep 27 18:38:33 2022 ] 	Top5: 94.03%
[ Tue Sep 27 18:38:33 2022 ] Training epoch: 56
[ Tue Sep 27 18:43:28 2022 ] 	Mean training loss: 0.6515. loss2: 0.0000. Mean training acc: 80.08%.
[ Tue Sep 27 18:43:28 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:43:28 2022 ] Eval epoch: 56
[ Tue Sep 27 18:44:54 2022 ] 	Mean test loss of 796 batches: 1.1242324530366976.
[ Tue Sep 27 18:44:54 2022 ] 	Top1: 68.83%
[ Tue Sep 27 18:44:55 2022 ] 	Top5: 92.22%
[ Tue Sep 27 18:44:55 2022 ] Training epoch: 57
[ Tue Sep 27 18:49:50 2022 ] 	Mean training loss: 0.6520. loss2: 0.0000. Mean training acc: 80.16%.
[ Tue Sep 27 18:49:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:49:50 2022 ] Eval epoch: 57
[ Tue Sep 27 18:51:16 2022 ] 	Mean test loss of 796 batches: 0.9391981440984724.
[ Tue Sep 27 18:51:16 2022 ] 	Top1: 72.43%
[ Tue Sep 27 18:51:17 2022 ] 	Top5: 94.30%
[ Tue Sep 27 18:51:17 2022 ] Training epoch: 58
[ Tue Sep 27 18:56:12 2022 ] 	Mean training loss: 0.6485. loss2: 0.0000. Mean training acc: 80.34%.
[ Tue Sep 27 18:56:12 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:56:12 2022 ] Eval epoch: 58
[ Tue Sep 27 18:57:37 2022 ] 	Mean test loss of 796 batches: 0.8726819699358701.
[ Tue Sep 27 18:57:38 2022 ] 	Top1: 74.22%
[ Tue Sep 27 18:57:38 2022 ] 	Top5: 94.51%
[ Tue Sep 27 18:57:38 2022 ] Training epoch: 59
[ Tue Sep 27 19:02:33 2022 ] 	Mean training loss: 0.6535. loss2: 0.0000. Mean training acc: 80.18%.
[ Tue Sep 27 19:02:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:02:33 2022 ] Eval epoch: 59
[ Tue Sep 27 19:03:59 2022 ] 	Mean test loss of 796 batches: 0.9660817512765003.
[ Tue Sep 27 19:03:59 2022 ] 	Top1: 71.99%
[ Tue Sep 27 19:04:00 2022 ] 	Top5: 93.88%
[ Tue Sep 27 19:04:00 2022 ] Training epoch: 60
[ Tue Sep 27 19:08:54 2022 ] 	Mean training loss: 0.6467. loss2: 0.0000. Mean training acc: 80.49%.
[ Tue Sep 27 19:08:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:08:55 2022 ] Eval epoch: 60
[ Tue Sep 27 19:10:20 2022 ] 	Mean test loss of 796 batches: 0.9043071141569459.
[ Tue Sep 27 19:10:21 2022 ] 	Top1: 73.52%
[ Tue Sep 27 19:10:21 2022 ] 	Top5: 94.50%
[ Tue Sep 27 19:10:21 2022 ] Training epoch: 61
[ Tue Sep 27 19:15:16 2022 ] 	Mean training loss: 0.6479. loss2: 0.0000. Mean training acc: 80.27%.
[ Tue Sep 27 19:15:16 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 19:15:16 2022 ] Eval epoch: 61
[ Tue Sep 27 19:16:42 2022 ] 	Mean test loss of 796 batches: 0.8996669538506311.
[ Tue Sep 27 19:16:43 2022 ] 	Top1: 73.58%
[ Tue Sep 27 19:16:43 2022 ] 	Top5: 94.18%
[ Tue Sep 27 19:16:43 2022 ] Training epoch: 62
[ Tue Sep 27 19:21:38 2022 ] 	Mean training loss: 0.6491. loss2: 0.0000. Mean training acc: 80.30%.
[ Tue Sep 27 19:21:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:21:39 2022 ] Eval epoch: 62
[ Tue Sep 27 19:23:04 2022 ] 	Mean test loss of 796 batches: 0.8161773673778203.
[ Tue Sep 27 19:23:05 2022 ] 	Top1: 76.31%
[ Tue Sep 27 19:23:05 2022 ] 	Top5: 94.52%
[ Tue Sep 27 19:23:05 2022 ] Training epoch: 63
[ Tue Sep 27 19:28:00 2022 ] 	Mean training loss: 0.6476. loss2: 0.0000. Mean training acc: 80.40%.
[ Tue Sep 27 19:28:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:28:00 2022 ] Eval epoch: 63
[ Tue Sep 27 19:29:26 2022 ] 	Mean test loss of 796 batches: 0.8287919328814775.
[ Tue Sep 27 19:29:26 2022 ] 	Top1: 75.59%
[ Tue Sep 27 19:29:27 2022 ] 	Top5: 94.79%
[ Tue Sep 27 19:29:27 2022 ] Training epoch: 64
[ Tue Sep 27 19:34:22 2022 ] 	Mean training loss: 0.6438. loss2: 0.0000. Mean training acc: 80.33%.
[ Tue Sep 27 19:34:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:34:22 2022 ] Eval epoch: 64
[ Tue Sep 27 19:35:48 2022 ] 	Mean test loss of 796 batches: 1.4226951796056038.
[ Tue Sep 27 19:35:48 2022 ] 	Top1: 61.63%
[ Tue Sep 27 19:35:49 2022 ] 	Top5: 86.95%
[ Tue Sep 27 19:35:49 2022 ] Training epoch: 65
[ Tue Sep 27 19:40:43 2022 ] 	Mean training loss: 0.6455. loss2: 0.0000. Mean training acc: 80.40%.
[ Tue Sep 27 19:40:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:40:44 2022 ] Eval epoch: 65
[ Tue Sep 27 19:42:09 2022 ] 	Mean test loss of 796 batches: 0.9059150206233988.
[ Tue Sep 27 19:42:10 2022 ] 	Top1: 74.01%
[ Tue Sep 27 19:42:10 2022 ] 	Top5: 94.10%
[ Tue Sep 27 19:42:10 2022 ] Training epoch: 66
[ Tue Sep 27 19:47:05 2022 ] 	Mean training loss: 0.6488. loss2: 0.0000. Mean training acc: 80.27%.
[ Tue Sep 27 19:47:05 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:47:05 2022 ] Eval epoch: 66
[ Tue Sep 27 19:48:31 2022 ] 	Mean test loss of 796 batches: 0.8190640554992697.
[ Tue Sep 27 19:48:32 2022 ] 	Top1: 76.21%
[ Tue Sep 27 19:48:32 2022 ] 	Top5: 94.95%
[ Tue Sep 27 19:48:32 2022 ] Training epoch: 67
[ Tue Sep 27 19:53:28 2022 ] 	Mean training loss: 0.6491. loss2: 0.0000. Mean training acc: 80.32%.
[ Tue Sep 27 19:53:28 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:53:28 2022 ] Eval epoch: 67
[ Tue Sep 27 19:54:54 2022 ] 	Mean test loss of 796 batches: 0.8137043246522022.
[ Tue Sep 27 19:54:54 2022 ] 	Top1: 75.54%
[ Tue Sep 27 19:54:54 2022 ] 	Top5: 94.95%
[ Tue Sep 27 19:54:54 2022 ] Training epoch: 68
[ Tue Sep 27 19:59:50 2022 ] 	Mean training loss: 0.6460. loss2: 0.0000. Mean training acc: 80.38%.
[ Tue Sep 27 19:59:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:59:50 2022 ] Eval epoch: 68
[ Tue Sep 27 20:01:16 2022 ] 	Mean test loss of 796 batches: 0.8851189483050725.
[ Tue Sep 27 20:01:16 2022 ] 	Top1: 73.64%
[ Tue Sep 27 20:01:17 2022 ] 	Top5: 94.15%
[ Tue Sep 27 20:01:17 2022 ] Training epoch: 69
[ Tue Sep 27 20:06:11 2022 ] 	Mean training loss: 0.6530. loss2: 0.0000. Mean training acc: 80.03%.
[ Tue Sep 27 20:06:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:06:12 2022 ] Eval epoch: 69
[ Tue Sep 27 20:07:37 2022 ] 	Mean test loss of 796 batches: 1.136937044036748.
[ Tue Sep 27 20:07:38 2022 ] 	Top1: 68.32%
[ Tue Sep 27 20:07:38 2022 ] 	Top5: 91.27%
[ Tue Sep 27 20:07:38 2022 ] Training epoch: 70
[ Tue Sep 27 20:12:33 2022 ] 	Mean training loss: 0.6495. loss2: 0.0000. Mean training acc: 80.14%.
[ Tue Sep 27 20:12:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:12:33 2022 ] Eval epoch: 70
[ Tue Sep 27 20:13:59 2022 ] 	Mean test loss of 796 batches: 0.9067994951453041.
[ Tue Sep 27 20:13:59 2022 ] 	Top1: 73.80%
[ Tue Sep 27 20:14:00 2022 ] 	Top5: 93.57%
[ Tue Sep 27 20:14:00 2022 ] Training epoch: 71
[ Tue Sep 27 20:18:54 2022 ] 	Mean training loss: 0.6422. loss2: 0.0000. Mean training acc: 80.47%.
[ Tue Sep 27 20:18:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:18:54 2022 ] Eval epoch: 71
[ Tue Sep 27 20:20:20 2022 ] 	Mean test loss of 796 batches: 1.0410678753039646.
[ Tue Sep 27 20:20:21 2022 ] 	Top1: 70.54%
[ Tue Sep 27 20:20:21 2022 ] 	Top5: 91.87%
[ Tue Sep 27 20:20:21 2022 ] Training epoch: 72
[ Tue Sep 27 20:25:16 2022 ] 	Mean training loss: 0.6434. loss2: 0.0000. Mean training acc: 80.39%.
[ Tue Sep 27 20:25:16 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Tue Sep 27 20:25:16 2022 ] Eval epoch: 72
[ Tue Sep 27 20:26:41 2022 ] 	Mean test loss of 796 batches: 0.8931741305257208.
[ Tue Sep 27 20:26:42 2022 ] 	Top1: 74.19%
[ Tue Sep 27 20:26:42 2022 ] 	Top5: 94.60%
[ Tue Sep 27 20:26:42 2022 ] Training epoch: 73
[ Tue Sep 27 20:31:37 2022 ] 	Mean training loss: 0.6459. loss2: 0.0000. Mean training acc: 80.42%.
[ Tue Sep 27 20:31:37 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:31:37 2022 ] Eval epoch: 73
[ Tue Sep 27 20:33:03 2022 ] 	Mean test loss of 796 batches: 0.894012608158229.
[ Tue Sep 27 20:33:03 2022 ] 	Top1: 73.63%
[ Tue Sep 27 20:33:04 2022 ] 	Top5: 94.00%
[ Tue Sep 27 20:33:04 2022 ] Training epoch: 74
[ Tue Sep 27 20:37:59 2022 ] 	Mean training loss: 0.6432. loss2: 0.0000. Mean training acc: 80.55%.
[ Tue Sep 27 20:37:59 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:37:59 2022 ] Eval epoch: 74
[ Tue Sep 27 20:39:25 2022 ] 	Mean test loss of 796 batches: 0.797099065877984.
[ Tue Sep 27 20:39:25 2022 ] 	Top1: 76.25%
[ Tue Sep 27 20:39:26 2022 ] 	Top5: 95.07%
[ Tue Sep 27 20:39:26 2022 ] Training epoch: 75
[ Tue Sep 27 20:44:20 2022 ] 	Mean training loss: 0.6419. loss2: 0.0000. Mean training acc: 80.40%.
[ Tue Sep 27 20:44:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:44:21 2022 ] Eval epoch: 75
[ Tue Sep 27 20:45:46 2022 ] 	Mean test loss of 796 batches: 0.9076352662327302.
[ Tue Sep 27 20:45:47 2022 ] 	Top1: 74.00%
[ Tue Sep 27 20:45:47 2022 ] 	Top5: 93.70%
[ Tue Sep 27 20:45:47 2022 ] Training epoch: 76
[ Tue Sep 27 20:50:42 2022 ] 	Mean training loss: 0.6466. loss2: 0.0000. Mean training acc: 80.28%.
[ Tue Sep 27 20:50:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:50:42 2022 ] Eval epoch: 76
[ Tue Sep 27 20:52:08 2022 ] 	Mean test loss of 796 batches: 0.8824665598084579.
[ Tue Sep 27 20:52:08 2022 ] 	Top1: 74.31%
[ Tue Sep 27 20:52:09 2022 ] 	Top5: 94.31%
[ Tue Sep 27 20:52:09 2022 ] Training epoch: 77
[ Tue Sep 27 20:57:04 2022 ] 	Mean training loss: 0.6462. loss2: 0.0000. Mean training acc: 80.38%.
[ Tue Sep 27 20:57:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:57:04 2022 ] Eval epoch: 77
[ Tue Sep 27 20:58:30 2022 ] 	Mean test loss of 796 batches: 0.870124805924581.
[ Tue Sep 27 20:58:30 2022 ] 	Top1: 74.33%
[ Tue Sep 27 20:58:31 2022 ] 	Top5: 94.50%
[ Tue Sep 27 20:58:31 2022 ] Training epoch: 78
[ Tue Sep 27 21:03:25 2022 ] 	Mean training loss: 0.6465. loss2: 0.0000. Mean training acc: 80.37%.
[ Tue Sep 27 21:03:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:03:25 2022 ] Eval epoch: 78
[ Tue Sep 27 21:04:51 2022 ] 	Mean test loss of 796 batches: 0.8246959842479409.
[ Tue Sep 27 21:04:51 2022 ] 	Top1: 75.90%
[ Tue Sep 27 21:04:52 2022 ] 	Top5: 94.57%
[ Tue Sep 27 21:04:52 2022 ] Training epoch: 79
[ Tue Sep 27 21:09:47 2022 ] 	Mean training loss: 0.6438. loss2: 0.0000. Mean training acc: 80.44%.
[ Tue Sep 27 21:09:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:09:47 2022 ] Eval epoch: 79
[ Tue Sep 27 21:11:13 2022 ] 	Mean test loss of 796 batches: 0.9253012634926105.
[ Tue Sep 27 21:11:13 2022 ] 	Top1: 73.00%
[ Tue Sep 27 21:11:14 2022 ] 	Top5: 93.76%
[ Tue Sep 27 21:11:14 2022 ] Training epoch: 80
[ Tue Sep 27 21:16:08 2022 ] 	Mean training loss: 0.6448. loss2: 0.0000. Mean training acc: 80.47%.
[ Tue Sep 27 21:16:08 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:16:08 2022 ] Eval epoch: 80
[ Tue Sep 27 21:17:34 2022 ] 	Mean test loss of 796 batches: 1.0352492555975914.
[ Tue Sep 27 21:17:35 2022 ] 	Top1: 70.90%
[ Tue Sep 27 21:17:35 2022 ] 	Top5: 92.89%
[ Tue Sep 27 21:17:35 2022 ] Training epoch: 81
[ Tue Sep 27 21:22:30 2022 ] 	Mean training loss: 0.6430. loss2: 0.0000. Mean training acc: 80.52%.
[ Tue Sep 27 21:22:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:22:30 2022 ] Eval epoch: 81
[ Tue Sep 27 21:23:56 2022 ] 	Mean test loss of 796 batches: 1.0373426044556364.
[ Tue Sep 27 21:23:56 2022 ] 	Top1: 70.55%
[ Tue Sep 27 21:23:57 2022 ] 	Top5: 93.19%
[ Tue Sep 27 21:23:57 2022 ] Training epoch: 82
[ Tue Sep 27 21:28:51 2022 ] 	Mean training loss: 0.6449. loss2: 0.0000. Mean training acc: 80.52%.
[ Tue Sep 27 21:28:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:28:51 2022 ] Eval epoch: 82
[ Tue Sep 27 21:30:17 2022 ] 	Mean test loss of 796 batches: 0.9164862948184337.
[ Tue Sep 27 21:30:17 2022 ] 	Top1: 74.17%
[ Tue Sep 27 21:30:18 2022 ] 	Top5: 94.04%
[ Tue Sep 27 21:30:18 2022 ] Training epoch: 83
[ Tue Sep 27 21:35:13 2022 ] 	Mean training loss: 0.6404. loss2: 0.0000. Mean training acc: 80.53%.
[ Tue Sep 27 21:35:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:35:13 2022 ] Eval epoch: 83
[ Tue Sep 27 21:36:39 2022 ] 	Mean test loss of 796 batches: 0.8928735678893837.
[ Tue Sep 27 21:36:40 2022 ] 	Top1: 73.99%
[ Tue Sep 27 21:36:40 2022 ] 	Top5: 93.87%
[ Tue Sep 27 21:36:40 2022 ] Training epoch: 84
[ Tue Sep 27 21:41:36 2022 ] 	Mean training loss: 0.6405. loss2: 0.0000. Mean training acc: 80.57%.
[ Tue Sep 27 21:41:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:41:36 2022 ] Eval epoch: 84
[ Tue Sep 27 21:43:02 2022 ] 	Mean test loss of 796 batches: 0.9248739057150318.
[ Tue Sep 27 21:43:03 2022 ] 	Top1: 73.24%
[ Tue Sep 27 21:43:03 2022 ] 	Top5: 94.28%
[ Tue Sep 27 21:43:03 2022 ] Training epoch: 85
[ Tue Sep 27 21:47:58 2022 ] 	Mean training loss: 0.6413. loss2: 0.0000. Mean training acc: 80.50%.
[ Tue Sep 27 21:47:58 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:47:58 2022 ] Eval epoch: 85
[ Tue Sep 27 21:49:24 2022 ] 	Mean test loss of 796 batches: 1.1585556641969847.
[ Tue Sep 27 21:49:24 2022 ] 	Top1: 68.79%
[ Tue Sep 27 21:49:25 2022 ] 	Top5: 90.62%
[ Tue Sep 27 21:49:25 2022 ] Training epoch: 86
[ Tue Sep 27 21:54:19 2022 ] 	Mean training loss: 0.6469. loss2: 0.0000. Mean training acc: 80.30%.
[ Tue Sep 27 21:54:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:54:19 2022 ] Eval epoch: 86
[ Tue Sep 27 21:55:46 2022 ] 	Mean test loss of 796 batches: 0.8178602709205606.
[ Tue Sep 27 21:55:46 2022 ] 	Top1: 75.59%
[ Tue Sep 27 21:55:47 2022 ] 	Top5: 94.99%
[ Tue Sep 27 21:55:47 2022 ] Training epoch: 87
[ Tue Sep 27 22:00:42 2022 ] 	Mean training loss: 0.6446. loss2: 0.0000. Mean training acc: 80.37%.
[ Tue Sep 27 22:00:42 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:00:42 2022 ] Eval epoch: 87
[ Tue Sep 27 22:02:07 2022 ] 	Mean test loss of 796 batches: 0.8787675544095399.
[ Tue Sep 27 22:02:08 2022 ] 	Top1: 74.40%
[ Tue Sep 27 22:02:08 2022 ] 	Top5: 93.90%
[ Tue Sep 27 22:02:08 2022 ] Training epoch: 88
[ Tue Sep 27 22:07:03 2022 ] 	Mean training loss: 0.6461. loss2: 0.0000. Mean training acc: 80.40%.
[ Tue Sep 27 22:07:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:07:03 2022 ] Eval epoch: 88
[ Tue Sep 27 22:08:29 2022 ] 	Mean test loss of 796 batches: 0.8521143877551184.
[ Tue Sep 27 22:08:29 2022 ] 	Top1: 75.27%
[ Tue Sep 27 22:08:29 2022 ] 	Top5: 94.18%
[ Tue Sep 27 22:08:30 2022 ] Training epoch: 89
[ Tue Sep 27 22:13:24 2022 ] 	Mean training loss: 0.6429. loss2: 0.0000. Mean training acc: 80.53%.
[ Tue Sep 27 22:13:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:13:24 2022 ] Eval epoch: 89
[ Tue Sep 27 22:14:51 2022 ] 	Mean test loss of 796 batches: 0.8383551667907729.
[ Tue Sep 27 22:14:51 2022 ] 	Top1: 74.90%
[ Tue Sep 27 22:14:51 2022 ] 	Top5: 94.63%
[ Tue Sep 27 22:14:51 2022 ] Training epoch: 90
[ Tue Sep 27 22:19:46 2022 ] 	Mean training loss: 0.6476. loss2: 0.0000. Mean training acc: 80.45%.
[ Tue Sep 27 22:19:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:19:46 2022 ] Eval epoch: 90
[ Tue Sep 27 22:21:12 2022 ] 	Mean test loss of 796 batches: 0.9633635458859366.
[ Tue Sep 27 22:21:13 2022 ] 	Top1: 72.12%
[ Tue Sep 27 22:21:13 2022 ] 	Top5: 93.79%
[ Tue Sep 27 22:21:13 2022 ] Training epoch: 91
[ Tue Sep 27 22:26:08 2022 ] 	Mean training loss: 0.3629. loss2: 0.0000. Mean training acc: 89.03%.
[ Tue Sep 27 22:26:08 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:26:08 2022 ] Eval epoch: 91
[ Tue Sep 27 22:27:34 2022 ] 	Mean test loss of 796 batches: 0.4717685703150741.
[ Tue Sep 27 22:27:34 2022 ] 	Top1: 85.61%
[ Tue Sep 27 22:27:35 2022 ] 	Top5: 97.58%
[ Tue Sep 27 22:27:35 2022 ] Training epoch: 92
[ Tue Sep 27 22:32:30 2022 ] 	Mean training loss: 0.2863. loss2: 0.0000. Mean training acc: 91.43%.
[ Tue Sep 27 22:32:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:32:30 2022 ] Eval epoch: 92
[ Tue Sep 27 22:33:56 2022 ] 	Mean test loss of 796 batches: 0.47068637237888783.
[ Tue Sep 27 22:33:56 2022 ] 	Top1: 85.66%
[ Tue Sep 27 22:33:57 2022 ] 	Top5: 97.59%
[ Tue Sep 27 22:33:57 2022 ] Training epoch: 93
[ Tue Sep 27 22:38:52 2022 ] 	Mean training loss: 0.2532. loss2: 0.0000. Mean training acc: 92.52%.
[ Tue Sep 27 22:38:52 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:38:52 2022 ] Eval epoch: 93
[ Tue Sep 27 22:40:18 2022 ] 	Mean test loss of 796 batches: 0.47283237234188535.
[ Tue Sep 27 22:40:19 2022 ] 	Top1: 85.64%
[ Tue Sep 27 22:40:19 2022 ] 	Top5: 97.60%
[ Tue Sep 27 22:40:19 2022 ] Training epoch: 94
[ Tue Sep 27 22:45:13 2022 ] 	Mean training loss: 0.2355. loss2: 0.0000. Mean training acc: 93.00%.
[ Tue Sep 27 22:45:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:45:13 2022 ] Eval epoch: 94
[ Tue Sep 27 22:46:39 2022 ] 	Mean test loss of 796 batches: 0.46736102956510966.
[ Tue Sep 27 22:46:40 2022 ] 	Top1: 85.90%
[ Tue Sep 27 22:46:40 2022 ] 	Top5: 97.69%
[ Tue Sep 27 22:46:40 2022 ] Training epoch: 95
[ Tue Sep 27 22:51:35 2022 ] 	Mean training loss: 0.2205. loss2: 0.0000. Mean training acc: 93.46%.
[ Tue Sep 27 22:51:35 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:51:35 2022 ] Eval epoch: 95
[ Tue Sep 27 22:53:01 2022 ] 	Mean test loss of 796 batches: 0.47491797199706787.
[ Tue Sep 27 22:53:02 2022 ] 	Top1: 85.83%
[ Tue Sep 27 22:53:02 2022 ] 	Top5: 97.53%
[ Tue Sep 27 22:53:02 2022 ] Training epoch: 96
[ Tue Sep 27 22:57:57 2022 ] 	Mean training loss: 0.2077. loss2: 0.0000. Mean training acc: 93.99%.
[ Tue Sep 27 22:57:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:57:57 2022 ] Eval epoch: 96
[ Tue Sep 27 22:59:23 2022 ] 	Mean test loss of 796 batches: 0.48541688473530153.
[ Tue Sep 27 22:59:24 2022 ] 	Top1: 85.70%
[ Tue Sep 27 22:59:24 2022 ] 	Top5: 97.54%
[ Tue Sep 27 22:59:24 2022 ] Training epoch: 97
[ Tue Sep 27 23:04:19 2022 ] 	Mean training loss: 0.1957. loss2: 0.0000. Mean training acc: 94.31%.
[ Tue Sep 27 23:04:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:04:19 2022 ] Eval epoch: 97
[ Tue Sep 27 23:05:45 2022 ] 	Mean test loss of 796 batches: 0.4918834017496088.
[ Tue Sep 27 23:05:45 2022 ] 	Top1: 85.58%
[ Tue Sep 27 23:05:46 2022 ] 	Top5: 97.38%
[ Tue Sep 27 23:05:46 2022 ] Training epoch: 98
[ Tue Sep 27 23:10:40 2022 ] 	Mean training loss: 0.1869. loss2: 0.0000. Mean training acc: 94.60%.
[ Tue Sep 27 23:10:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:10:40 2022 ] Eval epoch: 98
[ Tue Sep 27 23:12:06 2022 ] 	Mean test loss of 796 batches: 0.5284923904074647.
[ Tue Sep 27 23:12:07 2022 ] 	Top1: 84.70%
[ Tue Sep 27 23:12:07 2022 ] 	Top5: 97.19%
[ Tue Sep 27 23:12:07 2022 ] Training epoch: 99
[ Tue Sep 27 23:17:02 2022 ] 	Mean training loss: 0.1817. loss2: 0.0000. Mean training acc: 94.77%.
[ Tue Sep 27 23:17:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:17:02 2022 ] Eval epoch: 99
[ Tue Sep 27 23:18:28 2022 ] 	Mean test loss of 796 batches: 0.49842675177651885.
[ Tue Sep 27 23:18:29 2022 ] 	Top1: 85.41%
[ Tue Sep 27 23:18:29 2022 ] 	Top5: 97.55%
[ Tue Sep 27 23:18:29 2022 ] Training epoch: 100
[ Tue Sep 27 23:23:23 2022 ] 	Mean training loss: 0.1779. loss2: 0.0000. Mean training acc: 94.96%.
[ Tue Sep 27 23:23:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:23:23 2022 ] Eval epoch: 100
[ Tue Sep 27 23:24:49 2022 ] 	Mean test loss of 796 batches: 0.5131778668556082.
[ Tue Sep 27 23:24:50 2022 ] 	Top1: 85.17%
[ Tue Sep 27 23:24:50 2022 ] 	Top5: 97.34%
[ Tue Sep 27 23:24:50 2022 ] Training epoch: 101
[ Tue Sep 27 23:29:45 2022 ] 	Mean training loss: 0.1286. loss2: 0.0000. Mean training acc: 96.70%.
[ Tue Sep 27 23:29:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:29:45 2022 ] Eval epoch: 101
[ Tue Sep 27 23:31:11 2022 ] 	Mean test loss of 796 batches: 0.47317225059690937.
[ Tue Sep 27 23:31:11 2022 ] 	Top1: 86.51%
[ Tue Sep 27 23:31:12 2022 ] 	Top5: 97.58%
[ Tue Sep 27 23:31:12 2022 ] Training epoch: 102
[ Tue Sep 27 23:36:07 2022 ] 	Mean training loss: 0.1124. loss2: 0.0000. Mean training acc: 97.24%.
[ Tue Sep 27 23:36:07 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:36:07 2022 ] Eval epoch: 102
[ Tue Sep 27 23:37:33 2022 ] 	Mean test loss of 796 batches: 0.47209013801011906.
[ Tue Sep 27 23:37:33 2022 ] 	Top1: 86.57%
[ Tue Sep 27 23:37:34 2022 ] 	Top5: 97.59%
[ Tue Sep 27 23:37:34 2022 ] Training epoch: 103
[ Tue Sep 27 23:42:29 2022 ] 	Mean training loss: 0.1060. loss2: 0.0000. Mean training acc: 97.50%.
[ Tue Sep 27 23:42:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:42:29 2022 ] Eval epoch: 103
[ Tue Sep 27 23:43:55 2022 ] 	Mean test loss of 796 batches: 0.46913034720673935.
[ Tue Sep 27 23:43:55 2022 ] 	Top1: 86.61%
[ Tue Sep 27 23:43:56 2022 ] 	Top5: 97.61%
[ Tue Sep 27 23:43:56 2022 ] Training epoch: 104
[ Tue Sep 27 23:48:50 2022 ] 	Mean training loss: 0.1002. loss2: 0.0000. Mean training acc: 97.64%.
[ Tue Sep 27 23:48:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:48:50 2022 ] Eval epoch: 104
[ Tue Sep 27 23:50:17 2022 ] 	Mean test loss of 796 batches: 0.47916053930980773.
[ Tue Sep 27 23:50:17 2022 ] 	Top1: 86.51%
[ Tue Sep 27 23:50:17 2022 ] 	Top5: 97.55%
[ Tue Sep 27 23:50:18 2022 ] Training epoch: 105
[ Tue Sep 27 23:55:12 2022 ] 	Mean training loss: 0.0987. loss2: 0.0000. Mean training acc: 97.64%.
[ Tue Sep 27 23:55:12 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:55:12 2022 ] Eval epoch: 105
[ Tue Sep 27 23:56:38 2022 ] 	Mean test loss of 796 batches: 0.48082192057753026.
[ Tue Sep 27 23:56:39 2022 ] 	Top1: 86.56%
[ Tue Sep 27 23:56:39 2022 ] 	Top5: 97.56%
[ Tue Sep 27 23:56:39 2022 ] Training epoch: 106
[ Wed Sep 28 00:01:33 2022 ] 	Mean training loss: 0.0917. loss2: 0.0000. Mean training acc: 97.97%.
[ Wed Sep 28 00:01:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:01:33 2022 ] Eval epoch: 106
[ Wed Sep 28 00:02:59 2022 ] 	Mean test loss of 796 batches: 0.48480847746545647.
[ Wed Sep 28 00:03:00 2022 ] 	Top1: 86.52%
[ Wed Sep 28 00:03:00 2022 ] 	Top5: 97.54%
[ Wed Sep 28 00:03:00 2022 ] Training epoch: 107
[ Wed Sep 28 00:07:54 2022 ] 	Mean training loss: 0.0905. loss2: 0.0000. Mean training acc: 97.98%.
[ Wed Sep 28 00:07:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:07:54 2022 ] Eval epoch: 107
[ Wed Sep 28 00:09:20 2022 ] 	Mean test loss of 796 batches: 0.4821913420695381.
[ Wed Sep 28 00:09:20 2022 ] 	Top1: 86.51%
[ Wed Sep 28 00:09:21 2022 ] 	Top5: 97.57%
[ Wed Sep 28 00:09:21 2022 ] Training epoch: 108
[ Wed Sep 28 00:14:14 2022 ] 	Mean training loss: 0.0878. loss2: 0.0000. Mean training acc: 98.00%.
[ Wed Sep 28 00:14:14 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:14:14 2022 ] Eval epoch: 108
[ Wed Sep 28 00:15:40 2022 ] 	Mean test loss of 796 batches: 0.4864221454349969.
[ Wed Sep 28 00:15:40 2022 ] 	Top1: 86.43%
[ Wed Sep 28 00:15:41 2022 ] 	Top5: 97.57%
[ Wed Sep 28 00:15:41 2022 ] Training epoch: 109
[ Wed Sep 28 00:20:31 2022 ] 	Mean training loss: 0.0870. loss2: 0.0000. Mean training acc: 97.98%.
[ Wed Sep 28 00:20:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 00:20:31 2022 ] Eval epoch: 109
[ Wed Sep 28 00:21:56 2022 ] 	Mean test loss of 796 batches: 0.49255476816646265.
[ Wed Sep 28 00:21:56 2022 ] 	Top1: 86.30%
[ Wed Sep 28 00:21:57 2022 ] 	Top5: 97.47%
[ Wed Sep 28 00:21:57 2022 ] Training epoch: 110
[ Wed Sep 28 00:26:46 2022 ] 	Mean training loss: 0.0845. loss2: 0.0000. Mean training acc: 98.17%.
[ Wed Sep 28 00:26:46 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 00:26:46 2022 ] Eval epoch: 110
[ Wed Sep 28 00:28:11 2022 ] 	Mean test loss of 796 batches: 0.4883748356056348.
[ Wed Sep 28 00:28:12 2022 ] 	Top1: 86.44%
[ Wed Sep 28 00:28:12 2022 ] 	Top5: 97.49%
[ Wed Sep 28 00:29:39 2022 ] Best accuracy: 0.8660617844026788
[ Wed Sep 28 00:29:39 2022 ] Epoch number: 103
[ Wed Sep 28 00:29:39 2022 ] Model name: work_dir/ntu120/csub/fc_bone
[ Wed Sep 28 00:29:39 2022 ] Model total number of params: 2112877
[ Wed Sep 28 00:29:39 2022 ] Weight decay: 0.0004
[ Wed Sep 28 00:29:39 2022 ] Base LR: 0.1
[ Wed Sep 28 00:29:39 2022 ] Batch Size: 64
[ Wed Sep 28 00:29:39 2022 ] Test Batch Size: 64
[ Wed Sep 28 00:29:39 2022 ] seed: 1
