[ Wed Sep 28 02:23:55 2022 ] using warm up, epoch: 5
[ Wed Sep 28 02:24:10 2022 ] Parameters:
{'work_dir': 'work_dir/ntu60/cview/fc_bone_vel', 'model_saved_name': 'work_dir/ntu60/cview/fc_bone_vel/runs', 'config': 'config/nturgbd-cross-view/fc_bone_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/ntu60/NTU60_CV.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': True}, 'test_feeder_args': {'data_path': 'data/ntu60/NTU60_CV.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 60, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [7], '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}

[ Wed Sep 28 02:24:10 2022 ] # Parameters: 2082097
[ Wed Sep 28 02:24:10 2022 ] Training epoch: 1
[ Wed Sep 28 02:27:08 2022 ] 	Mean training loss: 2.8668. loss2: 0.0000. Mean training acc: 24.54%.
[ Wed Sep 28 02:27:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 02:27:08 2022 ] Eval epoch: 1
[ Wed Sep 28 02:27:43 2022 ] 	Mean test loss of 296 batches: 1.881268243934657.
[ Wed Sep 28 02:27:43 2022 ] 	Top1: 46.92%
[ Wed Sep 28 02:27:43 2022 ] 	Top5: 81.14%
[ Wed Sep 28 02:27:43 2022 ] Training epoch: 2
[ Wed Sep 28 02:30:38 2022 ] 	Mean training loss: 1.7409. loss2: 0.0000. Mean training acc: 48.70%.
[ Wed Sep 28 02:30:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 02:30:38 2022 ] Eval epoch: 2
[ Wed Sep 28 02:31:11 2022 ] 	Mean test loss of 296 batches: 1.3132274970412254.
[ Wed Sep 28 02:31:11 2022 ] 	Top1: 60.24%
[ Wed Sep 28 02:31:11 2022 ] 	Top5: 90.53%
[ Wed Sep 28 02:31:11 2022 ] Training epoch: 3
[ Wed Sep 28 02:34:08 2022 ] 	Mean training loss: 1.3542. loss2: 0.0000. Mean training acc: 59.14%.
[ Wed Sep 28 02:34:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 02:34:08 2022 ] Eval epoch: 3
[ Wed Sep 28 02:34:41 2022 ] 	Mean test loss of 296 batches: 1.028999920632388.
[ Wed Sep 28 02:34:41 2022 ] 	Top1: 68.05%
[ Wed Sep 28 02:34:41 2022 ] 	Top5: 94.33%
[ Wed Sep 28 02:34:41 2022 ] Training epoch: 4
[ Wed Sep 28 02:37:36 2022 ] 	Mean training loss: 1.1708. loss2: 0.0000. Mean training acc: 64.48%.
[ Wed Sep 28 02:37:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 02:37:36 2022 ] Eval epoch: 4
[ Wed Sep 28 02:38:09 2022 ] 	Mean test loss of 296 batches: 1.0051734932773821.
[ Wed Sep 28 02:38:09 2022 ] 	Top1: 68.36%
[ Wed Sep 28 02:38:09 2022 ] 	Top5: 94.14%
[ Wed Sep 28 02:38:09 2022 ] Training epoch: 5
[ Wed Sep 28 02:41:05 2022 ] 	Mean training loss: 1.0744. loss2: 0.0000. Mean training acc: 67.01%.
[ Wed Sep 28 02:41:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 02:41:05 2022 ] Eval epoch: 5
[ Wed Sep 28 02:41:38 2022 ] 	Mean test loss of 296 batches: 0.916849257172765.
[ Wed Sep 28 02:41:38 2022 ] 	Top1: 71.57%
[ Wed Sep 28 02:41:38 2022 ] 	Top5: 94.59%
[ Wed Sep 28 02:41:38 2022 ] Training epoch: 6
[ Wed Sep 28 02:44:33 2022 ] 	Mean training loss: 0.9712. loss2: 0.0000. Mean training acc: 69.80%.
[ Wed Sep 28 02:44:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 02:44:33 2022 ] Eval epoch: 6
[ Wed Sep 28 02:45:06 2022 ] 	Mean test loss of 296 batches: 0.8709653699518861.
[ Wed Sep 28 02:45:06 2022 ] 	Top1: 72.46%
[ Wed Sep 28 02:45:06 2022 ] 	Top5: 95.77%
[ Wed Sep 28 02:45:06 2022 ] Training epoch: 7
[ Wed Sep 28 02:48:02 2022 ] 	Mean training loss: 0.9084. loss2: 0.0000. Mean training acc: 71.85%.
[ Wed Sep 28 02:48:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 02:48:02 2022 ] Eval epoch: 7
[ Wed Sep 28 02:48:35 2022 ] 	Mean test loss of 296 batches: 0.8367400088825742.
[ Wed Sep 28 02:48:35 2022 ] 	Top1: 73.72%
[ Wed Sep 28 02:48:35 2022 ] 	Top5: 95.56%
[ Wed Sep 28 02:48:35 2022 ] Training epoch: 8
[ Wed Sep 28 02:51:30 2022 ] 	Mean training loss: 0.8721. loss2: 0.0000. Mean training acc: 73.10%.
[ Wed Sep 28 02:51:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 02:51:30 2022 ] Eval epoch: 8
[ Wed Sep 28 02:52:03 2022 ] 	Mean test loss of 296 batches: 1.1871352509872333.
[ Wed Sep 28 02:52:03 2022 ] 	Top1: 65.76%
[ Wed Sep 28 02:52:04 2022 ] 	Top5: 94.60%
[ Wed Sep 28 02:52:04 2022 ] Training epoch: 9
[ Wed Sep 28 02:54:59 2022 ] 	Mean training loss: 0.8344. loss2: 0.0000. Mean training acc: 74.23%.
[ Wed Sep 28 02:54:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 02:54:59 2022 ] Eval epoch: 9
[ Wed Sep 28 02:55:32 2022 ] 	Mean test loss of 296 batches: 0.7757131102922801.
[ Wed Sep 28 02:55:32 2022 ] 	Top1: 74.61%
[ Wed Sep 28 02:55:32 2022 ] 	Top5: 96.32%
[ Wed Sep 28 02:55:32 2022 ] Training epoch: 10
[ Wed Sep 28 02:58:27 2022 ] 	Mean training loss: 0.8067. loss2: 0.0000. Mean training acc: 74.93%.
[ Wed Sep 28 02:58:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 02:58:27 2022 ] Eval epoch: 10
[ Wed Sep 28 02:59:00 2022 ] 	Mean test loss of 296 batches: 0.7545300320394941.
[ Wed Sep 28 02:59:01 2022 ] 	Top1: 76.30%
[ Wed Sep 28 02:59:01 2022 ] 	Top5: 96.86%
[ Wed Sep 28 02:59:01 2022 ] Training epoch: 11
[ Wed Sep 28 03:01:57 2022 ] 	Mean training loss: 0.7889. loss2: 0.0000. Mean training acc: 75.21%.
[ Wed Sep 28 03:01:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:01:57 2022 ] Eval epoch: 11
[ Wed Sep 28 03:02:30 2022 ] 	Mean test loss of 296 batches: 0.7125209066513423.
[ Wed Sep 28 03:02:30 2022 ] 	Top1: 78.06%
[ Wed Sep 28 03:02:30 2022 ] 	Top5: 96.15%
[ Wed Sep 28 03:02:30 2022 ] Training epoch: 12
[ Wed Sep 28 03:05:25 2022 ] 	Mean training loss: 0.7705. loss2: 0.0000. Mean training acc: 76.12%.
[ Wed Sep 28 03:05:25 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:05:25 2022 ] Eval epoch: 12
[ Wed Sep 28 03:05:58 2022 ] 	Mean test loss of 296 batches: 0.7767730210278485.
[ Wed Sep 28 03:05:58 2022 ] 	Top1: 76.26%
[ Wed Sep 28 03:05:58 2022 ] 	Top5: 96.53%
[ Wed Sep 28 03:05:58 2022 ] Training epoch: 13
[ Wed Sep 28 03:08:54 2022 ] 	Mean training loss: 0.7549. loss2: 0.0000. Mean training acc: 76.47%.
[ Wed Sep 28 03:08:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:08:54 2022 ] Eval epoch: 13
[ Wed Sep 28 03:09:27 2022 ] 	Mean test loss of 296 batches: 0.5469201660236797.
[ Wed Sep 28 03:09:27 2022 ] 	Top1: 82.45%
[ Wed Sep 28 03:09:27 2022 ] 	Top5: 98.07%
[ Wed Sep 28 03:09:27 2022 ] Training epoch: 14
[ Wed Sep 28 03:12:23 2022 ] 	Mean training loss: 0.7354. loss2: 0.0000. Mean training acc: 77.01%.
[ Wed Sep 28 03:12:23 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:12:23 2022 ] Eval epoch: 14
[ Wed Sep 28 03:12:56 2022 ] 	Mean test loss of 296 batches: 0.6996558492852224.
[ Wed Sep 28 03:12:56 2022 ] 	Top1: 77.82%
[ Wed Sep 28 03:12:56 2022 ] 	Top5: 97.15%
[ Wed Sep 28 03:12:56 2022 ] Training epoch: 15
[ Wed Sep 28 03:15:51 2022 ] 	Mean training loss: 0.7206. loss2: 0.0000. Mean training acc: 77.42%.
[ Wed Sep 28 03:15:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:15:51 2022 ] Eval epoch: 15
[ Wed Sep 28 03:16:24 2022 ] 	Mean test loss of 296 batches: 0.6731682462567413.
[ Wed Sep 28 03:16:24 2022 ] 	Top1: 78.77%
[ Wed Sep 28 03:16:25 2022 ] 	Top5: 97.07%
[ Wed Sep 28 03:16:25 2022 ] Training epoch: 16
[ Wed Sep 28 03:19:20 2022 ] 	Mean training loss: 0.7142. loss2: 0.0000. Mean training acc: 77.94%.
[ Wed Sep 28 03:19:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:19:20 2022 ] Eval epoch: 16
[ Wed Sep 28 03:19:53 2022 ] 	Mean test loss of 296 batches: 0.7517951820549127.
[ Wed Sep 28 03:19:53 2022 ] 	Top1: 76.10%
[ Wed Sep 28 03:19:53 2022 ] 	Top5: 96.20%
[ Wed Sep 28 03:19:53 2022 ] Training epoch: 17
[ Wed Sep 28 03:22:49 2022 ] 	Mean training loss: 0.6987. loss2: 0.0000. Mean training acc: 78.24%.
[ Wed Sep 28 03:22:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:22:49 2022 ] Eval epoch: 17
[ Wed Sep 28 03:23:22 2022 ] 	Mean test loss of 296 batches: 0.7474842647442946.
[ Wed Sep 28 03:23:22 2022 ] 	Top1: 77.31%
[ Wed Sep 28 03:23:22 2022 ] 	Top5: 96.93%
[ Wed Sep 28 03:23:22 2022 ] Training epoch: 18
[ Wed Sep 28 03:26:17 2022 ] 	Mean training loss: 0.6908. loss2: 0.0000. Mean training acc: 78.36%.
[ Wed Sep 28 03:26:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:26:17 2022 ] Eval epoch: 18
[ Wed Sep 28 03:26:50 2022 ] 	Mean test loss of 296 batches: 0.530523328664335.
[ Wed Sep 28 03:26:50 2022 ] 	Top1: 82.72%
[ Wed Sep 28 03:26:50 2022 ] 	Top5: 97.99%
[ Wed Sep 28 03:26:50 2022 ] Training epoch: 19
[ Wed Sep 28 03:29:46 2022 ] 	Mean training loss: 0.6801. loss2: 0.0000. Mean training acc: 78.82%.
[ Wed Sep 28 03:29:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:29:46 2022 ] Eval epoch: 19
[ Wed Sep 28 03:30:19 2022 ] 	Mean test loss of 296 batches: 0.7208579975004131.
[ Wed Sep 28 03:30:19 2022 ] 	Top1: 77.31%
[ Wed Sep 28 03:30:19 2022 ] 	Top5: 96.54%
[ Wed Sep 28 03:30:19 2022 ] Training epoch: 20
[ Wed Sep 28 03:33:14 2022 ] 	Mean training loss: 0.6637. loss2: 0.0000. Mean training acc: 79.20%.
[ Wed Sep 28 03:33:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:33:14 2022 ] Eval epoch: 20
[ Wed Sep 28 03:33:47 2022 ] 	Mean test loss of 296 batches: 0.7715276134376591.
[ Wed Sep 28 03:33:48 2022 ] 	Top1: 76.29%
[ Wed Sep 28 03:33:48 2022 ] 	Top5: 96.64%
[ Wed Sep 28 03:33:48 2022 ] Training epoch: 21
[ Wed Sep 28 03:36:43 2022 ] 	Mean training loss: 0.6644. loss2: 0.0000. Mean training acc: 79.08%.
[ Wed Sep 28 03:36:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:36:43 2022 ] Eval epoch: 21
[ Wed Sep 28 03:37:16 2022 ] 	Mean test loss of 296 batches: 0.6425283612129656.
[ Wed Sep 28 03:37:16 2022 ] 	Top1: 80.08%
[ Wed Sep 28 03:37:17 2022 ] 	Top5: 97.79%
[ Wed Sep 28 03:37:17 2022 ] Training epoch: 22
[ Wed Sep 28 03:40:12 2022 ] 	Mean training loss: 0.6650. loss2: 0.0000. Mean training acc: 79.09%.
[ Wed Sep 28 03:40:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:40:12 2022 ] Eval epoch: 22
[ Wed Sep 28 03:40:45 2022 ] 	Mean test loss of 296 batches: 0.6356974484247936.
[ Wed Sep 28 03:40:45 2022 ] 	Top1: 80.12%
[ Wed Sep 28 03:40:45 2022 ] 	Top5: 97.64%
[ Wed Sep 28 03:40:45 2022 ] Training epoch: 23
[ Wed Sep 28 03:43:41 2022 ] 	Mean training loss: 0.6565. loss2: 0.0000. Mean training acc: 79.32%.
[ Wed Sep 28 03:43:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:43:41 2022 ] Eval epoch: 23
[ Wed Sep 28 03:44:14 2022 ] 	Mean test loss of 296 batches: 0.6122200726153882.
[ Wed Sep 28 03:44:14 2022 ] 	Top1: 80.54%
[ Wed Sep 28 03:44:14 2022 ] 	Top5: 97.26%
[ Wed Sep 28 03:44:14 2022 ] Training epoch: 24
[ Wed Sep 28 03:47:09 2022 ] 	Mean training loss: 0.6488. loss2: 0.0000. Mean training acc: 79.61%.
[ Wed Sep 28 03:47:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:47:09 2022 ] Eval epoch: 24
[ Wed Sep 28 03:47:43 2022 ] 	Mean test loss of 296 batches: 0.5947084887506994.
[ Wed Sep 28 03:47:43 2022 ] 	Top1: 81.21%
[ Wed Sep 28 03:47:43 2022 ] 	Top5: 97.56%
[ Wed Sep 28 03:47:43 2022 ] Training epoch: 25
[ Wed Sep 28 03:50:38 2022 ] 	Mean training loss: 0.6501. loss2: 0.0000. Mean training acc: 79.85%.
[ Wed Sep 28 03:50:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:50:38 2022 ] Eval epoch: 25
[ Wed Sep 28 03:51:11 2022 ] 	Mean test loss of 296 batches: 0.5892973787377815.
[ Wed Sep 28 03:51:11 2022 ] 	Top1: 80.93%
[ Wed Sep 28 03:51:12 2022 ] 	Top5: 97.65%
[ Wed Sep 28 03:51:12 2022 ] Training epoch: 26
[ Wed Sep 28 03:54:07 2022 ] 	Mean training loss: 0.6405. loss2: 0.0000. Mean training acc: 80.06%.
[ Wed Sep 28 03:54:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:54:07 2022 ] Eval epoch: 26
[ Wed Sep 28 03:54:40 2022 ] 	Mean test loss of 296 batches: 0.6085320120123593.
[ Wed Sep 28 03:54:40 2022 ] 	Top1: 80.74%
[ Wed Sep 28 03:54:40 2022 ] 	Top5: 97.47%
[ Wed Sep 28 03:54:40 2022 ] Training epoch: 27
[ Wed Sep 28 03:57:36 2022 ] 	Mean training loss: 0.6407. loss2: 0.0000. Mean training acc: 79.87%.
[ Wed Sep 28 03:57:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 03:57:36 2022 ] Eval epoch: 27
[ Wed Sep 28 03:58:09 2022 ] 	Mean test loss of 296 batches: 0.5852095625690512.
[ Wed Sep 28 03:58:09 2022 ] 	Top1: 81.85%
[ Wed Sep 28 03:58:09 2022 ] 	Top5: 97.29%
[ Wed Sep 28 03:58:09 2022 ] Training epoch: 28
[ Wed Sep 28 04:01:04 2022 ] 	Mean training loss: 0.6339. loss2: 0.0000. Mean training acc: 80.04%.
[ Wed Sep 28 04:01:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:01:04 2022 ] Eval epoch: 28
[ Wed Sep 28 04:01:37 2022 ] 	Mean test loss of 296 batches: 0.7738451032924492.
[ Wed Sep 28 04:01:37 2022 ] 	Top1: 77.39%
[ Wed Sep 28 04:01:37 2022 ] 	Top5: 96.56%
[ Wed Sep 28 04:01:37 2022 ] Training epoch: 29
[ Wed Sep 28 04:04:33 2022 ] 	Mean training loss: 0.6295. loss2: 0.0000. Mean training acc: 80.39%.
[ Wed Sep 28 04:04:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:04:33 2022 ] Eval epoch: 29
[ Wed Sep 28 04:05:06 2022 ] 	Mean test loss of 296 batches: 0.5506151096039528.
[ Wed Sep 28 04:05:06 2022 ] 	Top1: 82.75%
[ Wed Sep 28 04:05:06 2022 ] 	Top5: 98.01%
[ Wed Sep 28 04:05:06 2022 ] Training epoch: 30
[ Wed Sep 28 04:08:01 2022 ] 	Mean training loss: 0.6261. loss2: 0.0000. Mean training acc: 80.30%.
[ Wed Sep 28 04:08:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:08:01 2022 ] Eval epoch: 30
[ Wed Sep 28 04:08:35 2022 ] 	Mean test loss of 296 batches: 0.6372884454558024.
[ Wed Sep 28 04:08:35 2022 ] 	Top1: 79.75%
[ Wed Sep 28 04:08:35 2022 ] 	Top5: 97.64%
[ Wed Sep 28 04:08:35 2022 ] Training epoch: 31
[ Wed Sep 28 04:11:30 2022 ] 	Mean training loss: 0.6261. loss2: 0.0000. Mean training acc: 80.46%.
[ Wed Sep 28 04:11:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:11:30 2022 ] Eval epoch: 31
[ Wed Sep 28 04:12:03 2022 ] 	Mean test loss of 296 batches: 0.5759831805386253.
[ Wed Sep 28 04:12:03 2022 ] 	Top1: 82.10%
[ Wed Sep 28 04:12:03 2022 ] 	Top5: 97.52%
[ Wed Sep 28 04:12:03 2022 ] Training epoch: 32
[ Wed Sep 28 04:14:58 2022 ] 	Mean training loss: 0.6194. loss2: 0.0000. Mean training acc: 80.72%.
[ Wed Sep 28 04:14:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:14:58 2022 ] Eval epoch: 32
[ Wed Sep 28 04:15:32 2022 ] 	Mean test loss of 296 batches: 0.6465197758296052.
[ Wed Sep 28 04:15:32 2022 ] 	Top1: 80.07%
[ Wed Sep 28 04:15:32 2022 ] 	Top5: 96.26%
[ Wed Sep 28 04:15:32 2022 ] Training epoch: 33
[ Wed Sep 28 04:18:27 2022 ] 	Mean training loss: 0.6159. loss2: 0.0000. Mean training acc: 80.71%.
[ Wed Sep 28 04:18:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:18:27 2022 ] Eval epoch: 33
[ Wed Sep 28 04:19:00 2022 ] 	Mean test loss of 296 batches: 0.6825966786693882.
[ Wed Sep 28 04:19:00 2022 ] 	Top1: 77.79%
[ Wed Sep 28 04:19:01 2022 ] 	Top5: 96.43%
[ Wed Sep 28 04:19:01 2022 ] Training epoch: 34
[ Wed Sep 28 04:21:56 2022 ] 	Mean training loss: 0.6119. loss2: 0.0000. Mean training acc: 80.74%.
[ Wed Sep 28 04:21:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:21:56 2022 ] Eval epoch: 34
[ Wed Sep 28 04:22:30 2022 ] 	Mean test loss of 296 batches: 0.8144088174040253.
[ Wed Sep 28 04:22:30 2022 ] 	Top1: 74.89%
[ Wed Sep 28 04:22:30 2022 ] 	Top5: 95.94%
[ Wed Sep 28 04:22:30 2022 ] Training epoch: 35
[ Wed Sep 28 04:25:26 2022 ] 	Mean training loss: 0.6188. loss2: 0.0000. Mean training acc: 80.62%.
[ Wed Sep 28 04:25:26 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:25:26 2022 ] Eval epoch: 35
[ Wed Sep 28 04:25:59 2022 ] 	Mean test loss of 296 batches: 0.5929416032961091.
[ Wed Sep 28 04:25:59 2022 ] 	Top1: 80.74%
[ Wed Sep 28 04:25:59 2022 ] 	Top5: 97.80%
[ Wed Sep 28 04:25:59 2022 ] Training epoch: 36
[ Wed Sep 28 04:28:55 2022 ] 	Mean training loss: 0.6048. loss2: 0.0000. Mean training acc: 81.15%.
[ Wed Sep 28 04:28:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:28:55 2022 ] Eval epoch: 36
[ Wed Sep 28 04:29:28 2022 ] 	Mean test loss of 296 batches: 0.6386517983030628.
[ Wed Sep 28 04:29:29 2022 ] 	Top1: 79.60%
[ Wed Sep 28 04:29:29 2022 ] 	Top5: 97.44%
[ Wed Sep 28 04:29:29 2022 ] Training epoch: 37
[ Wed Sep 28 04:32:24 2022 ] 	Mean training loss: 0.6081. loss2: 0.0000. Mean training acc: 81.00%.
[ Wed Sep 28 04:32:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:32:24 2022 ] Eval epoch: 37
[ Wed Sep 28 04:32:57 2022 ] 	Mean test loss of 296 batches: 0.5239268427815389.
[ Wed Sep 28 04:32:58 2022 ] 	Top1: 83.18%
[ Wed Sep 28 04:32:58 2022 ] 	Top5: 97.99%
[ Wed Sep 28 04:32:58 2022 ] Training epoch: 38
[ Wed Sep 28 04:35:53 2022 ] 	Mean training loss: 0.6055. loss2: 0.0000. Mean training acc: 81.07%.
[ Wed Sep 28 04:35:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:35:53 2022 ] Eval epoch: 38
[ Wed Sep 28 04:36:26 2022 ] 	Mean test loss of 296 batches: 0.6367511892741596.
[ Wed Sep 28 04:36:26 2022 ] 	Top1: 80.32%
[ Wed Sep 28 04:36:26 2022 ] 	Top5: 97.45%
[ Wed Sep 28 04:36:26 2022 ] Training epoch: 39
[ Wed Sep 28 04:39:22 2022 ] 	Mean training loss: 0.6048. loss2: 0.0000. Mean training acc: 81.07%.
[ Wed Sep 28 04:39:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:39:22 2022 ] Eval epoch: 39
[ Wed Sep 28 04:39:55 2022 ] 	Mean test loss of 296 batches: 0.6353724796727702.
[ Wed Sep 28 04:39:55 2022 ] 	Top1: 79.90%
[ Wed Sep 28 04:39:55 2022 ] 	Top5: 97.07%
[ Wed Sep 28 04:39:55 2022 ] Training epoch: 40
[ Wed Sep 28 04:42:51 2022 ] 	Mean training loss: 0.6061. loss2: 0.0000. Mean training acc: 80.98%.
[ Wed Sep 28 04:42:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:42:51 2022 ] Eval epoch: 40
[ Wed Sep 28 04:43:24 2022 ] 	Mean test loss of 296 batches: 0.5147646493404299.
[ Wed Sep 28 04:43:24 2022 ] 	Top1: 83.50%
[ Wed Sep 28 04:43:24 2022 ] 	Top5: 97.91%
[ Wed Sep 28 04:43:24 2022 ] Training epoch: 41
[ Wed Sep 28 04:46:19 2022 ] 	Mean training loss: 0.5917. loss2: 0.0000. Mean training acc: 81.52%.
[ Wed Sep 28 04:46:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:46:19 2022 ] Eval epoch: 41
[ Wed Sep 28 04:46:53 2022 ] 	Mean test loss of 296 batches: 0.5202942952715062.
[ Wed Sep 28 04:46:53 2022 ] 	Top1: 83.35%
[ Wed Sep 28 04:46:53 2022 ] 	Top5: 97.82%
[ Wed Sep 28 04:46:53 2022 ] Training epoch: 42
[ Wed Sep 28 04:49:48 2022 ] 	Mean training loss: 0.6041. loss2: 0.0000. Mean training acc: 81.13%.
[ Wed Sep 28 04:49:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:49:48 2022 ] Eval epoch: 42
[ Wed Sep 28 04:50:21 2022 ] 	Mean test loss of 296 batches: 0.6826436470287878.
[ Wed Sep 28 04:50:22 2022 ] 	Top1: 78.80%
[ Wed Sep 28 04:50:22 2022 ] 	Top5: 96.75%
[ Wed Sep 28 04:50:22 2022 ] Training epoch: 43
[ Wed Sep 28 04:53:17 2022 ] 	Mean training loss: 0.5882. loss2: 0.0000. Mean training acc: 81.47%.
[ Wed Sep 28 04:53:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:53:17 2022 ] Eval epoch: 43
[ Wed Sep 28 04:53:51 2022 ] 	Mean test loss of 296 batches: 0.7067953725722996.
[ Wed Sep 28 04:53:51 2022 ] 	Top1: 78.63%
[ Wed Sep 28 04:53:51 2022 ] 	Top5: 96.26%
[ Wed Sep 28 04:53:51 2022 ] Training epoch: 44
[ Wed Sep 28 04:56:46 2022 ] 	Mean training loss: 0.6024. loss2: 0.0000. Mean training acc: 81.12%.
[ Wed Sep 28 04:56:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 04:56:46 2022 ] Eval epoch: 44
[ Wed Sep 28 04:57:19 2022 ] 	Mean test loss of 296 batches: 0.6438792289511578.
[ Wed Sep 28 04:57:19 2022 ] 	Top1: 79.91%
[ Wed Sep 28 04:57:20 2022 ] 	Top5: 96.93%
[ Wed Sep 28 04:57:20 2022 ] Training epoch: 45
[ Wed Sep 28 05:00:15 2022 ] 	Mean training loss: 0.6038. loss2: 0.0000. Mean training acc: 81.12%.
[ Wed Sep 28 05:00:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:00:15 2022 ] Eval epoch: 45
[ Wed Sep 28 05:00:48 2022 ] 	Mean test loss of 296 batches: 0.5886797903961426.
[ Wed Sep 28 05:00:48 2022 ] 	Top1: 81.45%
[ Wed Sep 28 05:00:48 2022 ] 	Top5: 97.58%
[ Wed Sep 28 05:00:48 2022 ] Training epoch: 46
[ Wed Sep 28 05:03:44 2022 ] 	Mean training loss: 0.5855. loss2: 0.0000. Mean training acc: 81.61%.
[ Wed Sep 28 05:03:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:03:44 2022 ] Eval epoch: 46
[ Wed Sep 28 05:04:17 2022 ] 	Mean test loss of 296 batches: 0.5911244944342084.
[ Wed Sep 28 05:04:17 2022 ] 	Top1: 81.45%
[ Wed Sep 28 05:04:17 2022 ] 	Top5: 97.21%
[ Wed Sep 28 05:04:17 2022 ] Training epoch: 47
[ Wed Sep 28 05:07:12 2022 ] 	Mean training loss: 0.5911. loss2: 0.0000. Mean training acc: 81.48%.
[ Wed Sep 28 05:07:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:07:13 2022 ] Eval epoch: 47
[ Wed Sep 28 05:07:46 2022 ] 	Mean test loss of 296 batches: 0.5656841756725633.
[ Wed Sep 28 05:07:46 2022 ] 	Top1: 82.37%
[ Wed Sep 28 05:07:46 2022 ] 	Top5: 97.78%
[ Wed Sep 28 05:07:46 2022 ] Training epoch: 48
[ Wed Sep 28 05:10:41 2022 ] 	Mean training loss: 0.5965. loss2: 0.0000. Mean training acc: 81.34%.
[ Wed Sep 28 05:10:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:10:41 2022 ] Eval epoch: 48
[ Wed Sep 28 05:11:14 2022 ] 	Mean test loss of 296 batches: 0.7682602037046407.
[ Wed Sep 28 05:11:15 2022 ] 	Top1: 76.72%
[ Wed Sep 28 05:11:15 2022 ] 	Top5: 95.83%
[ Wed Sep 28 05:11:15 2022 ] Training epoch: 49
[ Wed Sep 28 05:14:10 2022 ] 	Mean training loss: 0.5878. loss2: 0.0000. Mean training acc: 81.83%.
[ Wed Sep 28 05:14:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:14:10 2022 ] Eval epoch: 49
[ Wed Sep 28 05:14:43 2022 ] 	Mean test loss of 296 batches: 0.677517798502703.
[ Wed Sep 28 05:14:43 2022 ] 	Top1: 78.78%
[ Wed Sep 28 05:14:43 2022 ] 	Top5: 96.83%
[ Wed Sep 28 05:14:43 2022 ] Training epoch: 50
[ Wed Sep 28 05:17:39 2022 ] 	Mean training loss: 0.5919. loss2: 0.0000. Mean training acc: 81.47%.
[ Wed Sep 28 05:17:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:17:39 2022 ] Eval epoch: 50
[ Wed Sep 28 05:18:12 2022 ] 	Mean test loss of 296 batches: 0.6186654060273558.
[ Wed Sep 28 05:18:12 2022 ] 	Top1: 80.23%
[ Wed Sep 28 05:18:12 2022 ] 	Top5: 97.64%
[ Wed Sep 28 05:18:12 2022 ] Training epoch: 51
[ Wed Sep 28 05:21:08 2022 ] 	Mean training loss: 0.5831. loss2: 0.0000. Mean training acc: 81.84%.
[ Wed Sep 28 05:21:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:21:08 2022 ] Eval epoch: 51
[ Wed Sep 28 05:21:41 2022 ] 	Mean test loss of 296 batches: 1.762215944862849.
[ Wed Sep 28 05:21:41 2022 ] 	Top1: 58.53%
[ Wed Sep 28 05:21:41 2022 ] 	Top5: 87.75%
[ Wed Sep 28 05:21:41 2022 ] Training epoch: 52
[ Wed Sep 28 05:24:36 2022 ] 	Mean training loss: 0.5914. loss2: 0.0000. Mean training acc: 81.42%.
[ Wed Sep 28 05:24:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:24:36 2022 ] Eval epoch: 52
[ Wed Sep 28 05:25:10 2022 ] 	Mean test loss of 296 batches: 0.6199006203662705.
[ Wed Sep 28 05:25:10 2022 ] 	Top1: 80.27%
[ Wed Sep 28 05:25:10 2022 ] 	Top5: 97.51%
[ Wed Sep 28 05:25:10 2022 ] Training epoch: 53
[ Wed Sep 28 05:28:05 2022 ] 	Mean training loss: 0.5857. loss2: 0.0000. Mean training acc: 81.57%.
[ Wed Sep 28 05:28:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:28:05 2022 ] Eval epoch: 53
[ Wed Sep 28 05:28:38 2022 ] 	Mean test loss of 296 batches: 0.5413636859204318.
[ Wed Sep 28 05:28:38 2022 ] 	Top1: 82.56%
[ Wed Sep 28 05:28:38 2022 ] 	Top5: 98.00%
[ Wed Sep 28 05:28:38 2022 ] Training epoch: 54
[ Wed Sep 28 05:31:34 2022 ] 	Mean training loss: 0.5849. loss2: 0.0000. Mean training acc: 81.79%.
[ Wed Sep 28 05:31:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:31:34 2022 ] Eval epoch: 54
[ Wed Sep 28 05:32:07 2022 ] 	Mean test loss of 296 batches: 0.6521130396506271.
[ Wed Sep 28 05:32:07 2022 ] 	Top1: 79.24%
[ Wed Sep 28 05:32:07 2022 ] 	Top5: 97.05%
[ Wed Sep 28 05:32:08 2022 ] Training epoch: 55
[ Wed Sep 28 05:35:03 2022 ] 	Mean training loss: 0.5855. loss2: 0.0000. Mean training acc: 81.36%.
[ Wed Sep 28 05:35:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:35:03 2022 ] Eval epoch: 55
[ Wed Sep 28 05:35:36 2022 ] 	Mean test loss of 296 batches: 0.6402129051149696.
[ Wed Sep 28 05:35:36 2022 ] 	Top1: 80.02%
[ Wed Sep 28 05:35:36 2022 ] 	Top5: 97.10%
[ Wed Sep 28 05:35:36 2022 ] Training epoch: 56
[ Wed Sep 28 05:38:32 2022 ] 	Mean training loss: 0.5816. loss2: 0.0000. Mean training acc: 81.69%.
[ Wed Sep 28 05:38:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:38:32 2022 ] Eval epoch: 56
[ Wed Sep 28 05:39:05 2022 ] 	Mean test loss of 296 batches: 0.563760458214863.
[ Wed Sep 28 05:39:05 2022 ] 	Top1: 81.75%
[ Wed Sep 28 05:39:05 2022 ] 	Top5: 97.88%
[ Wed Sep 28 05:39:05 2022 ] Training epoch: 57
[ Wed Sep 28 05:42:00 2022 ] 	Mean training loss: 0.5833. loss2: 0.0000. Mean training acc: 81.88%.
[ Wed Sep 28 05:42:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:42:00 2022 ] Eval epoch: 57
[ Wed Sep 28 05:42:34 2022 ] 	Mean test loss of 296 batches: 0.5711236277444137.
[ Wed Sep 28 05:42:34 2022 ] 	Top1: 82.06%
[ Wed Sep 28 05:42:34 2022 ] 	Top5: 97.67%
[ Wed Sep 28 05:42:34 2022 ] Training epoch: 58
[ Wed Sep 28 05:45:29 2022 ] 	Mean training loss: 0.5808. loss2: 0.0000. Mean training acc: 81.61%.
[ Wed Sep 28 05:45:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:45:29 2022 ] Eval epoch: 58
[ Wed Sep 28 05:46:02 2022 ] 	Mean test loss of 296 batches: 0.6118748827359161.
[ Wed Sep 28 05:46:02 2022 ] 	Top1: 81.08%
[ Wed Sep 28 05:46:02 2022 ] 	Top5: 97.31%
[ Wed Sep 28 05:46:02 2022 ] Training epoch: 59
[ Wed Sep 28 05:48:58 2022 ] 	Mean training loss: 0.5822. loss2: 0.0000. Mean training acc: 81.78%.
[ Wed Sep 28 05:48:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:48:58 2022 ] Eval epoch: 59
[ Wed Sep 28 05:49:31 2022 ] 	Mean test loss of 296 batches: 0.5215369293315185.
[ Wed Sep 28 05:49:31 2022 ] 	Top1: 83.62%
[ Wed Sep 28 05:49:31 2022 ] 	Top5: 97.91%
[ Wed Sep 28 05:49:31 2022 ] Training epoch: 60
[ Wed Sep 28 05:52:27 2022 ] 	Mean training loss: 0.5791. loss2: 0.0000. Mean training acc: 81.71%.
[ Wed Sep 28 05:52:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:52:27 2022 ] Eval epoch: 60
[ Wed Sep 28 05:53:00 2022 ] 	Mean test loss of 296 batches: 0.6684451374049122.
[ Wed Sep 28 05:53:00 2022 ] 	Top1: 78.59%
[ Wed Sep 28 05:53:00 2022 ] 	Top5: 97.32%
[ Wed Sep 28 05:53:00 2022 ] Training epoch: 61
[ Wed Sep 28 05:55:56 2022 ] 	Mean training loss: 0.5815. loss2: 0.0000. Mean training acc: 81.70%.
[ Wed Sep 28 05:55:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:55:56 2022 ] Eval epoch: 61
[ Wed Sep 28 05:56:29 2022 ] 	Mean test loss of 296 batches: 0.5800586258740844.
[ Wed Sep 28 05:56:29 2022 ] 	Top1: 81.94%
[ Wed Sep 28 05:56:29 2022 ] 	Top5: 97.56%
[ Wed Sep 28 05:56:29 2022 ] Training epoch: 62
[ Wed Sep 28 05:59:24 2022 ] 	Mean training loss: 0.5752. loss2: 0.0000. Mean training acc: 81.86%.
[ Wed Sep 28 05:59:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 05:59:24 2022 ] Eval epoch: 62
[ Wed Sep 28 05:59:58 2022 ] 	Mean test loss of 296 batches: 0.4971533364339455.
[ Wed Sep 28 05:59:58 2022 ] 	Top1: 84.14%
[ Wed Sep 28 05:59:58 2022 ] 	Top5: 98.20%
[ Wed Sep 28 05:59:58 2022 ] Training epoch: 63
[ Wed Sep 28 06:02:54 2022 ] 	Mean training loss: 0.5751. loss2: 0.0000. Mean training acc: 81.85%.
[ Wed Sep 28 06:02:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:02:54 2022 ] Eval epoch: 63
[ Wed Sep 28 06:03:27 2022 ] 	Mean test loss of 296 batches: 0.6386346582927414.
[ Wed Sep 28 06:03:27 2022 ] 	Top1: 80.24%
[ Wed Sep 28 06:03:27 2022 ] 	Top5: 97.02%
[ Wed Sep 28 06:03:27 2022 ] Training epoch: 64
[ Wed Sep 28 06:06:22 2022 ] 	Mean training loss: 0.5739. loss2: 0.0000. Mean training acc: 81.93%.
[ Wed Sep 28 06:06:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:06:22 2022 ] Eval epoch: 64
[ Wed Sep 28 06:06:55 2022 ] 	Mean test loss of 296 batches: 0.5448399633169174.
[ Wed Sep 28 06:06:56 2022 ] 	Top1: 82.72%
[ Wed Sep 28 06:06:56 2022 ] 	Top5: 97.93%
[ Wed Sep 28 06:06:56 2022 ] Training epoch: 65
[ Wed Sep 28 06:09:51 2022 ] 	Mean training loss: 0.5814. loss2: 0.0000. Mean training acc: 81.68%.
[ Wed Sep 28 06:09:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:09:51 2022 ] Eval epoch: 65
[ Wed Sep 28 06:10:24 2022 ] 	Mean test loss of 296 batches: 0.5465620451078221.
[ Wed Sep 28 06:10:24 2022 ] 	Top1: 82.88%
[ Wed Sep 28 06:10:24 2022 ] 	Top5: 97.51%
[ Wed Sep 28 06:10:24 2022 ] Training epoch: 66
[ Wed Sep 28 06:13:20 2022 ] 	Mean training loss: 0.5689. loss2: 0.0000. Mean training acc: 82.16%.
[ Wed Sep 28 06:13:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:13:20 2022 ] Eval epoch: 66
[ Wed Sep 28 06:13:53 2022 ] 	Mean test loss of 296 batches: 0.6624477548977813.
[ Wed Sep 28 06:13:53 2022 ] 	Top1: 79.27%
[ Wed Sep 28 06:13:53 2022 ] 	Top5: 97.21%
[ Wed Sep 28 06:13:53 2022 ] Training epoch: 67
[ Wed Sep 28 06:16:49 2022 ] 	Mean training loss: 0.5743. loss2: 0.0000. Mean training acc: 82.09%.
[ Wed Sep 28 06:16:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:16:49 2022 ] Eval epoch: 67
[ Wed Sep 28 06:17:22 2022 ] 	Mean test loss of 296 batches: 0.5403052156136648.
[ Wed Sep 28 06:17:22 2022 ] 	Top1: 82.56%
[ Wed Sep 28 06:17:22 2022 ] 	Top5: 97.87%
[ Wed Sep 28 06:17:22 2022 ] Training epoch: 68
[ Wed Sep 28 06:20:18 2022 ] 	Mean training loss: 0.5803. loss2: 0.0000. Mean training acc: 81.43%.
[ Wed Sep 28 06:20:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:20:18 2022 ] Eval epoch: 68
[ Wed Sep 28 06:20:51 2022 ] 	Mean test loss of 296 batches: 0.4906617783614107.
[ Wed Sep 28 06:20:51 2022 ] 	Top1: 84.44%
[ Wed Sep 28 06:20:51 2022 ] 	Top5: 97.90%
[ Wed Sep 28 06:20:51 2022 ] Training epoch: 69
[ Wed Sep 28 06:23:47 2022 ] 	Mean training loss: 0.5701. loss2: 0.0000. Mean training acc: 81.89%.
[ Wed Sep 28 06:23:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:23:47 2022 ] Eval epoch: 69
[ Wed Sep 28 06:24:20 2022 ] 	Mean test loss of 296 batches: 0.4552341498736594.
[ Wed Sep 28 06:24:20 2022 ] 	Top1: 85.17%
[ Wed Sep 28 06:24:20 2022 ] 	Top5: 98.43%
[ Wed Sep 28 06:24:20 2022 ] Training epoch: 70
[ Wed Sep 28 06:27:16 2022 ] 	Mean training loss: 0.5672. loss2: 0.0000. Mean training acc: 82.13%.
[ Wed Sep 28 06:27:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:27:16 2022 ] Eval epoch: 70
[ Wed Sep 28 06:27:49 2022 ] 	Mean test loss of 296 batches: 0.624858573532185.
[ Wed Sep 28 06:27:49 2022 ] 	Top1: 80.76%
[ Wed Sep 28 06:27:49 2022 ] 	Top5: 97.25%
[ Wed Sep 28 06:27:49 2022 ] Training epoch: 71
[ Wed Sep 28 06:30:45 2022 ] 	Mean training loss: 0.5719. loss2: 0.0000. Mean training acc: 81.89%.
[ Wed Sep 28 06:30:45 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:30:45 2022 ] Eval epoch: 71
[ Wed Sep 28 06:31:18 2022 ] 	Mean test loss of 296 batches: 0.5345228150285579.
[ Wed Sep 28 06:31:18 2022 ] 	Top1: 82.73%
[ Wed Sep 28 06:31:18 2022 ] 	Top5: 98.03%
[ Wed Sep 28 06:31:18 2022 ] Training epoch: 72
[ Wed Sep 28 06:34:14 2022 ] 	Mean training loss: 0.5685. loss2: 0.0000. Mean training acc: 82.03%.
[ Wed Sep 28 06:34:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:34:14 2022 ] Eval epoch: 72
[ Wed Sep 28 06:34:47 2022 ] 	Mean test loss of 296 batches: 0.574166627198055.
[ Wed Sep 28 06:34:47 2022 ] 	Top1: 82.07%
[ Wed Sep 28 06:34:47 2022 ] 	Top5: 97.62%
[ Wed Sep 28 06:34:47 2022 ] Training epoch: 73
[ Wed Sep 28 06:37:43 2022 ] 	Mean training loss: 0.5676. loss2: 0.0000. Mean training acc: 82.13%.
[ Wed Sep 28 06:37:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:37:43 2022 ] Eval epoch: 73
[ Wed Sep 28 06:38:16 2022 ] 	Mean test loss of 296 batches: 0.5725244965303589.
[ Wed Sep 28 06:38:16 2022 ] 	Top1: 82.01%
[ Wed Sep 28 06:38:16 2022 ] 	Top5: 97.35%
[ Wed Sep 28 06:38:16 2022 ] Training epoch: 74
[ Wed Sep 28 06:41:12 2022 ] 	Mean training loss: 0.5667. loss2: 0.0000. Mean training acc: 82.23%.
[ Wed Sep 28 06:41:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:41:12 2022 ] Eval epoch: 74
[ Wed Sep 28 06:41:45 2022 ] 	Mean test loss of 296 batches: 0.7599137210966768.
[ Wed Sep 28 06:41:45 2022 ] 	Top1: 77.14%
[ Wed Sep 28 06:41:46 2022 ] 	Top5: 96.58%
[ Wed Sep 28 06:41:46 2022 ] Training epoch: 75
[ Wed Sep 28 06:44:41 2022 ] 	Mean training loss: 0.5619. loss2: 0.0000. Mean training acc: 82.22%.
[ Wed Sep 28 06:44:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:44:41 2022 ] Eval epoch: 75
[ Wed Sep 28 06:45:14 2022 ] 	Mean test loss of 296 batches: 0.4984559762115414.
[ Wed Sep 28 06:45:14 2022 ] 	Top1: 84.21%
[ Wed Sep 28 06:45:14 2022 ] 	Top5: 98.06%
[ Wed Sep 28 06:45:14 2022 ] Training epoch: 76
[ Wed Sep 28 06:48:10 2022 ] 	Mean training loss: 0.5735. loss2: 0.0000. Mean training acc: 81.99%.
[ Wed Sep 28 06:48:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:48:10 2022 ] Eval epoch: 76
[ Wed Sep 28 06:48:43 2022 ] 	Mean test loss of 296 batches: 0.6259612541243031.
[ Wed Sep 28 06:48:43 2022 ] 	Top1: 80.31%
[ Wed Sep 28 06:48:43 2022 ] 	Top5: 97.57%
[ Wed Sep 28 06:48:43 2022 ] Training epoch: 77
[ Wed Sep 28 06:51:38 2022 ] 	Mean training loss: 0.5692. loss2: 0.0000. Mean training acc: 82.14%.
[ Wed Sep 28 06:51:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:51:38 2022 ] Eval epoch: 77
[ Wed Sep 28 06:52:11 2022 ] 	Mean test loss of 296 batches: 0.5530072942980238.
[ Wed Sep 28 06:52:11 2022 ] 	Top1: 82.39%
[ Wed Sep 28 06:52:12 2022 ] 	Top5: 97.76%
[ Wed Sep 28 06:52:12 2022 ] Training epoch: 78
[ Wed Sep 28 06:55:07 2022 ] 	Mean training loss: 0.5651. loss2: 0.0000. Mean training acc: 82.40%.
[ Wed Sep 28 06:55:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:55:07 2022 ] Eval epoch: 78
[ Wed Sep 28 06:55:40 2022 ] 	Mean test loss of 296 batches: 0.6238595236696907.
[ Wed Sep 28 06:55:40 2022 ] 	Top1: 80.08%
[ Wed Sep 28 06:55:40 2022 ] 	Top5: 97.35%
[ Wed Sep 28 06:55:40 2022 ] Training epoch: 79
[ Wed Sep 28 06:58:36 2022 ] 	Mean training loss: 0.5665. loss2: 0.0000. Mean training acc: 82.18%.
[ Wed Sep 28 06:58:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 06:58:36 2022 ] Eval epoch: 79
[ Wed Sep 28 06:59:09 2022 ] 	Mean test loss of 296 batches: 0.45486241800559535.
[ Wed Sep 28 06:59:09 2022 ] 	Top1: 85.38%
[ Wed Sep 28 06:59:09 2022 ] 	Top5: 98.28%
[ Wed Sep 28 06:59:09 2022 ] Training epoch: 80
[ Wed Sep 28 07:02:04 2022 ] 	Mean training loss: 0.5639. loss2: 0.0000. Mean training acc: 82.41%.
[ Wed Sep 28 07:02:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:02:04 2022 ] Eval epoch: 80
[ Wed Sep 28 07:02:38 2022 ] 	Mean test loss of 296 batches: 0.6182526348007692.
[ Wed Sep 28 07:02:38 2022 ] 	Top1: 80.95%
[ Wed Sep 28 07:02:38 2022 ] 	Top5: 96.77%
[ Wed Sep 28 07:02:38 2022 ] Training epoch: 81
[ Wed Sep 28 07:05:33 2022 ] 	Mean training loss: 0.5630. loss2: 0.0000. Mean training acc: 82.46%.
[ Wed Sep 28 07:05:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:05:33 2022 ] Eval epoch: 81
[ Wed Sep 28 07:06:06 2022 ] 	Mean test loss of 296 batches: 0.6059418862836586.
[ Wed Sep 28 07:06:07 2022 ] 	Top1: 80.59%
[ Wed Sep 28 07:06:07 2022 ] 	Top5: 97.54%
[ Wed Sep 28 07:06:07 2022 ] Training epoch: 82
[ Wed Sep 28 07:09:02 2022 ] 	Mean training loss: 0.5752. loss2: 0.0000. Mean training acc: 82.18%.
[ Wed Sep 28 07:09:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:09:03 2022 ] Eval epoch: 82
[ Wed Sep 28 07:09:36 2022 ] 	Mean test loss of 296 batches: 0.6110506212288463.
[ Wed Sep 28 07:09:36 2022 ] 	Top1: 80.69%
[ Wed Sep 28 07:09:36 2022 ] 	Top5: 97.41%
[ Wed Sep 28 07:09:36 2022 ] Training epoch: 83
[ Wed Sep 28 07:12:32 2022 ] 	Mean training loss: 0.5678. loss2: 0.0000. Mean training acc: 82.20%.
[ Wed Sep 28 07:12:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:12:32 2022 ] Eval epoch: 83
[ Wed Sep 28 07:13:05 2022 ] 	Mean test loss of 296 batches: 0.5244756190458665.
[ Wed Sep 28 07:13:05 2022 ] 	Top1: 83.11%
[ Wed Sep 28 07:13:05 2022 ] 	Top5: 97.76%
[ Wed Sep 28 07:13:05 2022 ] Training epoch: 84
[ Wed Sep 28 07:16:01 2022 ] 	Mean training loss: 0.5721. loss2: 0.0000. Mean training acc: 82.07%.
[ Wed Sep 28 07:16:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:16:01 2022 ] Eval epoch: 84
[ Wed Sep 28 07:16:34 2022 ] 	Mean test loss of 296 batches: 0.5642996068943191.
[ Wed Sep 28 07:16:34 2022 ] 	Top1: 81.79%
[ Wed Sep 28 07:16:34 2022 ] 	Top5: 97.80%
[ Wed Sep 28 07:16:34 2022 ] Training epoch: 85
[ Wed Sep 28 07:19:30 2022 ] 	Mean training loss: 0.5640. loss2: 0.0000. Mean training acc: 82.44%.
[ Wed Sep 28 07:19:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:19:30 2022 ] Eval epoch: 85
[ Wed Sep 28 07:20:03 2022 ] 	Mean test loss of 296 batches: 0.607743866993366.
[ Wed Sep 28 07:20:03 2022 ] 	Top1: 81.08%
[ Wed Sep 28 07:20:03 2022 ] 	Top5: 97.34%
[ Wed Sep 28 07:20:03 2022 ] Training epoch: 86
[ Wed Sep 28 07:22:59 2022 ] 	Mean training loss: 0.5704. loss2: 0.0000. Mean training acc: 82.06%.
[ Wed Sep 28 07:22:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:22:59 2022 ] Eval epoch: 86
[ Wed Sep 28 07:23:32 2022 ] 	Mean test loss of 296 batches: 0.4988825116809961.
[ Wed Sep 28 07:23:32 2022 ] 	Top1: 84.15%
[ Wed Sep 28 07:23:32 2022 ] 	Top5: 98.17%
[ Wed Sep 28 07:23:32 2022 ] Training epoch: 87
[ Wed Sep 28 07:26:28 2022 ] 	Mean training loss: 0.5633. loss2: 0.0000. Mean training acc: 82.24%.
[ Wed Sep 28 07:26:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:26:28 2022 ] Eval epoch: 87
[ Wed Sep 28 07:27:01 2022 ] 	Mean test loss of 296 batches: 0.5355152109688198.
[ Wed Sep 28 07:27:01 2022 ] 	Top1: 82.72%
[ Wed Sep 28 07:27:01 2022 ] 	Top5: 98.14%
[ Wed Sep 28 07:27:01 2022 ] Training epoch: 88
[ Wed Sep 28 07:29:56 2022 ] 	Mean training loss: 0.5650. loss2: 0.0000. Mean training acc: 82.19%.
[ Wed Sep 28 07:29:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:29:56 2022 ] Eval epoch: 88
[ Wed Sep 28 07:30:30 2022 ] 	Mean test loss of 296 batches: 0.5163914824055659.
[ Wed Sep 28 07:30:30 2022 ] 	Top1: 83.48%
[ Wed Sep 28 07:30:30 2022 ] 	Top5: 98.10%
[ Wed Sep 28 07:30:30 2022 ] Training epoch: 89
[ Wed Sep 28 07:33:25 2022 ] 	Mean training loss: 0.5682. loss2: 0.0000. Mean training acc: 82.21%.
[ Wed Sep 28 07:33:25 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:33:26 2022 ] Eval epoch: 89
[ Wed Sep 28 07:33:59 2022 ] 	Mean test loss of 296 batches: 0.5240918533826197.
[ Wed Sep 28 07:33:59 2022 ] 	Top1: 83.08%
[ Wed Sep 28 07:33:59 2022 ] 	Top5: 97.80%
[ Wed Sep 28 07:33:59 2022 ] Training epoch: 90
[ Wed Sep 28 07:36:54 2022 ] 	Mean training loss: 0.5643. loss2: 0.0000. Mean training acc: 82.31%.
[ Wed Sep 28 07:36:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:36:54 2022 ] Eval epoch: 90
[ Wed Sep 28 07:37:27 2022 ] 	Mean test loss of 296 batches: 0.5727970102751577.
[ Wed Sep 28 07:37:28 2022 ] 	Top1: 82.08%
[ Wed Sep 28 07:37:28 2022 ] 	Top5: 97.43%
[ Wed Sep 28 07:37:28 2022 ] Training epoch: 91
[ Wed Sep 28 07:40:24 2022 ] 	Mean training loss: 0.3469. loss2: 0.0000. Mean training acc: 89.26%.
[ Wed Sep 28 07:40:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:40:24 2022 ] Eval epoch: 91
[ Wed Sep 28 07:40:57 2022 ] 	Mean test loss of 296 batches: 0.2672223379281727.
[ Wed Sep 28 07:40:57 2022 ] 	Top1: 91.25%
[ Wed Sep 28 07:40:57 2022 ] 	Top5: 99.15%
[ Wed Sep 28 07:40:57 2022 ] Training epoch: 92
[ Wed Sep 28 07:43:52 2022 ] 	Mean training loss: 0.2773. loss2: 0.0000. Mean training acc: 91.54%.
[ Wed Sep 28 07:43:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:43:53 2022 ] Eval epoch: 92
[ Wed Sep 28 07:44:26 2022 ] 	Mean test loss of 296 batches: 0.25839121204272314.
[ Wed Sep 28 07:44:26 2022 ] 	Top1: 91.62%
[ Wed Sep 28 07:44:26 2022 ] 	Top5: 99.11%
[ Wed Sep 28 07:44:26 2022 ] Training epoch: 93
[ Wed Sep 28 07:47:21 2022 ] 	Mean training loss: 0.2487. loss2: 0.0000. Mean training acc: 92.24%.
[ Wed Sep 28 07:47:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:47:22 2022 ] Eval epoch: 93
[ Wed Sep 28 07:47:55 2022 ] 	Mean test loss of 296 batches: 0.2589522535610642.
[ Wed Sep 28 07:47:55 2022 ] 	Top1: 91.58%
[ Wed Sep 28 07:47:55 2022 ] 	Top5: 99.15%
[ Wed Sep 28 07:47:55 2022 ] Training epoch: 94
[ Wed Sep 28 07:50:51 2022 ] 	Mean training loss: 0.2295. loss2: 0.0000. Mean training acc: 92.96%.
[ Wed Sep 28 07:50:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:50:51 2022 ] Eval epoch: 94
[ Wed Sep 28 07:51:24 2022 ] 	Mean test loss of 296 batches: 0.2554160957098813.
[ Wed Sep 28 07:51:24 2022 ] 	Top1: 91.78%
[ Wed Sep 28 07:51:24 2022 ] 	Top5: 99.15%
[ Wed Sep 28 07:51:24 2022 ] Training epoch: 95
[ Wed Sep 28 07:54:19 2022 ] 	Mean training loss: 0.2147. loss2: 0.0000. Mean training acc: 93.46%.
[ Wed Sep 28 07:54:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:54:20 2022 ] Eval epoch: 95
[ Wed Sep 28 07:54:53 2022 ] 	Mean test loss of 296 batches: 0.25067119350707207.
[ Wed Sep 28 07:54:53 2022 ] 	Top1: 92.07%
[ Wed Sep 28 07:54:53 2022 ] 	Top5: 99.14%
[ Wed Sep 28 07:54:53 2022 ] Training epoch: 96
[ Wed Sep 28 07:57:48 2022 ] 	Mean training loss: 0.1991. loss2: 0.0000. Mean training acc: 93.92%.
[ Wed Sep 28 07:57:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 07:57:48 2022 ] Eval epoch: 96
[ Wed Sep 28 07:58:22 2022 ] 	Mean test loss of 296 batches: 0.25756114497906657.
[ Wed Sep 28 07:58:22 2022 ] 	Top1: 91.94%
[ Wed Sep 28 07:58:22 2022 ] 	Top5: 99.15%
[ Wed Sep 28 07:58:22 2022 ] Training epoch: 97
[ Wed Sep 28 08:01:17 2022 ] 	Mean training loss: 0.1882. loss2: 0.0000. Mean training acc: 94.38%.
[ Wed Sep 28 08:01:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:01:17 2022 ] Eval epoch: 97
[ Wed Sep 28 08:01:51 2022 ] 	Mean test loss of 296 batches: 0.26602443725474784.
[ Wed Sep 28 08:01:51 2022 ] 	Top1: 91.66%
[ Wed Sep 28 08:01:51 2022 ] 	Top5: 99.14%
[ Wed Sep 28 08:01:51 2022 ] Training epoch: 98
[ Wed Sep 28 08:04:46 2022 ] 	Mean training loss: 0.1751. loss2: 0.0000. Mean training acc: 94.76%.
[ Wed Sep 28 08:04:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:04:46 2022 ] Eval epoch: 98
[ Wed Sep 28 08:05:20 2022 ] 	Mean test loss of 296 batches: 0.25659597970897685.
[ Wed Sep 28 08:05:20 2022 ] 	Top1: 91.90%
[ Wed Sep 28 08:05:20 2022 ] 	Top5: 99.22%
[ Wed Sep 28 08:05:20 2022 ] Training epoch: 99
[ Wed Sep 28 08:08:15 2022 ] 	Mean training loss: 0.1699. loss2: 0.0000. Mean training acc: 95.09%.
[ Wed Sep 28 08:08:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:08:15 2022 ] Eval epoch: 99
[ Wed Sep 28 08:08:49 2022 ] 	Mean test loss of 296 batches: 0.2629621198803589.
[ Wed Sep 28 08:08:49 2022 ] 	Top1: 91.71%
[ Wed Sep 28 08:08:49 2022 ] 	Top5: 99.17%
[ Wed Sep 28 08:08:49 2022 ] Training epoch: 100
[ Wed Sep 28 08:11:44 2022 ] 	Mean training loss: 0.1624. loss2: 0.0000. Mean training acc: 95.13%.
[ Wed Sep 28 08:11:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:11:44 2022 ] Eval epoch: 100
[ Wed Sep 28 08:12:17 2022 ] 	Mean test loss of 296 batches: 0.26953791879822275.
[ Wed Sep 28 08:12:18 2022 ] 	Top1: 91.62%
[ Wed Sep 28 08:12:18 2022 ] 	Top5: 99.04%
[ Wed Sep 28 08:12:18 2022 ] Training epoch: 101
[ Wed Sep 28 08:15:17 2022 ] 	Mean training loss: 0.1320. loss2: 0.0000. Mean training acc: 96.38%.
[ Wed Sep 28 08:15:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:15:17 2022 ] Eval epoch: 101
[ Wed Sep 28 08:15:50 2022 ] 	Mean test loss of 296 batches: 0.24937996069422444.
[ Wed Sep 28 08:15:50 2022 ] 	Top1: 92.35%
[ Wed Sep 28 08:15:50 2022 ] 	Top5: 99.18%
[ Wed Sep 28 08:15:50 2022 ] Training epoch: 102
[ Wed Sep 28 08:18:46 2022 ] 	Mean training loss: 0.1225. loss2: 0.0000. Mean training acc: 96.63%.
[ Wed Sep 28 08:18:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:18:46 2022 ] Eval epoch: 102
[ Wed Sep 28 08:19:19 2022 ] 	Mean test loss of 296 batches: 0.2504575311936237.
[ Wed Sep 28 08:19:19 2022 ] 	Top1: 92.34%
[ Wed Sep 28 08:19:19 2022 ] 	Top5: 99.17%
[ Wed Sep 28 08:19:19 2022 ] Training epoch: 103
[ Wed Sep 28 08:22:15 2022 ] 	Mean training loss: 0.1176. loss2: 0.0000. Mean training acc: 96.86%.
[ Wed Sep 28 08:22:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:22:15 2022 ] Eval epoch: 103
[ Wed Sep 28 08:22:48 2022 ] 	Mean test loss of 296 batches: 0.2460248832767074.
[ Wed Sep 28 08:22:48 2022 ] 	Top1: 92.49%
[ Wed Sep 28 08:22:49 2022 ] 	Top5: 99.18%
[ Wed Sep 28 08:22:49 2022 ] Training epoch: 104
[ Wed Sep 28 08:25:44 2022 ] 	Mean training loss: 0.1104. loss2: 0.0000. Mean training acc: 97.05%.
[ Wed Sep 28 08:25:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:25:44 2022 ] Eval epoch: 104
[ Wed Sep 28 08:26:17 2022 ] 	Mean test loss of 296 batches: 0.24959395002145823.
[ Wed Sep 28 08:26:17 2022 ] 	Top1: 92.33%
[ Wed Sep 28 08:26:17 2022 ] 	Top5: 99.19%
[ Wed Sep 28 08:26:17 2022 ] Training epoch: 105
[ Wed Sep 28 08:29:13 2022 ] 	Mean training loss: 0.1076. loss2: 0.0000. Mean training acc: 97.13%.
[ Wed Sep 28 08:29:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:29:13 2022 ] Eval epoch: 105
[ Wed Sep 28 08:29:47 2022 ] 	Mean test loss of 296 batches: 0.25331516578994895.
[ Wed Sep 28 08:29:47 2022 ] 	Top1: 92.22%
[ Wed Sep 28 08:29:47 2022 ] 	Top5: 99.21%
[ Wed Sep 28 08:29:47 2022 ] Training epoch: 106
[ Wed Sep 28 08:32:42 2022 ] 	Mean training loss: 0.1059. loss2: 0.0000. Mean training acc: 97.20%.
[ Wed Sep 28 08:32:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:32:42 2022 ] Eval epoch: 106
[ Wed Sep 28 08:33:15 2022 ] 	Mean test loss of 296 batches: 0.2526325292419642.
[ Wed Sep 28 08:33:15 2022 ] 	Top1: 92.25%
[ Wed Sep 28 08:33:15 2022 ] 	Top5: 99.17%
[ Wed Sep 28 08:33:15 2022 ] Training epoch: 107
[ Wed Sep 28 08:36:11 2022 ] 	Mean training loss: 0.1016. loss2: 0.0000. Mean training acc: 97.34%.
[ Wed Sep 28 08:36:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:36:11 2022 ] Eval epoch: 107
[ Wed Sep 28 08:36:44 2022 ] 	Mean test loss of 296 batches: 0.25940321704901353.
[ Wed Sep 28 08:36:45 2022 ] 	Top1: 92.10%
[ Wed Sep 28 08:36:45 2022 ] 	Top5: 99.17%
[ Wed Sep 28 08:36:45 2022 ] Training epoch: 108
[ Wed Sep 28 08:39:40 2022 ] 	Mean training loss: 0.0998. loss2: 0.0000. Mean training acc: 97.42%.
[ Wed Sep 28 08:39:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:39:40 2022 ] Eval epoch: 108
[ Wed Sep 28 08:40:14 2022 ] 	Mean test loss of 296 batches: 0.25490476304312815.
[ Wed Sep 28 08:40:14 2022 ] 	Top1: 92.19%
[ Wed Sep 28 08:40:14 2022 ] 	Top5: 99.17%
[ Wed Sep 28 08:40:14 2022 ] Training epoch: 109
[ Wed Sep 28 08:43:09 2022 ] 	Mean training loss: 0.0994. loss2: 0.0000. Mean training acc: 97.46%.
[ Wed Sep 28 08:43:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:43:09 2022 ] Eval epoch: 109
[ Wed Sep 28 08:43:42 2022 ] 	Mean test loss of 296 batches: 0.2532047574483865.
[ Wed Sep 28 08:43:42 2022 ] 	Top1: 92.29%
[ Wed Sep 28 08:43:43 2022 ] 	Top5: 99.13%
[ Wed Sep 28 08:43:43 2022 ] Training epoch: 110
[ Wed Sep 28 08:46:38 2022 ] 	Mean training loss: 0.0971. loss2: 0.0000. Mean training acc: 97.46%.
[ Wed Sep 28 08:46:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:46:38 2022 ] Eval epoch: 110
[ Wed Sep 28 08:47:11 2022 ] 	Mean test loss of 296 batches: 0.25990474552570564.
[ Wed Sep 28 08:47:11 2022 ] 	Top1: 92.18%
[ Wed Sep 28 08:47:11 2022 ] 	Top5: 99.09%
[ Wed Sep 28 08:47:16 2022 ] using warm up, epoch: 5
[ Wed Sep 28 08:47:32 2022 ] Parameters:
{'work_dir': 'work_dir/ntu60/cview/fc_bone_vel', 'model_saved_name': 'work_dir/ntu60/cview/fc_bone_vel/runs', 'config': 'config/nturgbd-cross-view/fc_bone_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/ntu60/NTU60_CV.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': True}, 'test_feeder_args': {'data_path': 'data/ntu60/NTU60_CV.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 60, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [7], '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}

[ Wed Sep 28 08:47:32 2022 ] # Parameters: 2082097
[ Wed Sep 28 08:47:32 2022 ] Training epoch: 1
[ Wed Sep 28 08:47:56 2022 ] Best accuracy: 0.924889076695542
[ Wed Sep 28 08:47:56 2022 ] Epoch number: 103
[ Wed Sep 28 08:47:56 2022 ] Model name: work_dir/ntu60/cview/fc_bone_vel
[ Wed Sep 28 08:47:56 2022 ] Model total number of params: 2082097
[ Wed Sep 28 08:47:56 2022 ] Weight decay: 0.0004
[ Wed Sep 28 08:47:56 2022 ] Base LR: 0.1
[ Wed Sep 28 08:47:56 2022 ] Batch Size: 64
[ Wed Sep 28 08:47:56 2022 ] Test Batch Size: 64
[ Wed Sep 28 08:47:56 2022 ] seed: 1
[ Wed Sep 28 08:50:40 2022 ] using warm up, epoch: 5
[ Wed Sep 28 08:50:40 2022 ] 	Mean training loss: 2.8286. loss2: 0.0000. Mean training acc: 25.07%.
[ Wed Sep 28 08:50:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Wed Sep 28 08:50:40 2022 ] Eval epoch: 1
[ Wed Sep 28 08:50:57 2022 ] Parameters:
{'work_dir': 'work_dir/ntu60/cview/fc_bone_vel', 'model_saved_name': 'work_dir/ntu60/cview/fc_bone_vel/runs', 'config': 'config/nturgbd-cross-view/fc_bone_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/ntu60/NTU60_CV.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': True}, 'test_feeder_args': {'data_path': 'data/ntu60/NTU60_CV.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 60, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [7], '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}

[ Wed Sep 28 08:50:57 2022 ] # Parameters: 2082097
[ Wed Sep 28 08:50:57 2022 ] Training epoch: 1
[ Wed Sep 28 08:51:29 2022 ] using warm up, epoch: 5
[ Wed Sep 28 08:51:34 2022 ] 	Mean test loss of 296 batches: 1.8541731802192893.
[ Wed Sep 28 08:51:34 2022 ] 	Top1: 47.22%
[ Wed Sep 28 08:51:34 2022 ] 	Top5: 81.83%
[ Wed Sep 28 08:51:34 2022 ] Training epoch: 2
[ Wed Sep 28 08:51:50 2022 ] Parameters:
{'work_dir': 'work_dir/ntu60/cview/fc_bone_vel', 'model_saved_name': 'work_dir/ntu60/cview/fc_bone_vel/runs', 'config': 'config/nturgbd-cross-view/fc_bone_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/ntu60/NTU60_CV.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': True}, 'test_feeder_args': {'data_path': 'data/ntu60/NTU60_CV.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 60, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [7], '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}

[ Wed Sep 28 08:51:50 2022 ] # Parameters: 2082097
[ Wed Sep 28 08:51:50 2022 ] Training epoch: 1
[ Wed Sep 28 08:54:58 2022 ] using warm up, epoch: 5
[ Wed Sep 28 08:55:22 2022 ] Parameters:
{'work_dir': 'work_dir/ntu60/cview/fc_bone_vel', 'model_saved_name': 'work_dir/ntu60/cview/fc_bone_vel/runs', 'config': 'config/nturgbd-cross-view/fc_bone_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/ntu60/NTU60_CV.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': True}, 'test_feeder_args': {'data_path': 'data/ntu60/NTU60_CV.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': True, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 60, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [7], '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}

[ Wed Sep 28 08:55:22 2022 ] # Parameters: 2082097
[ Wed Sep 28 08:55:22 2022 ] Training epoch: 1
[ Wed Sep 28 08:56:13 2022 ] using warm up, epoch: 5
[ Wed Sep 28 08:59:17 2022 ] using warm up, epoch: 5
[ Wed Sep 28 09:01:21 2022 ] using warm up, epoch: 5
[ Wed Sep 28 09:01:30 2022 ] 	Mean training loss: 2.8651. loss2: 0.0000. Mean training acc: 24.46%.
[ Wed Sep 28 09:01:30 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:01:30 2022 ] Eval epoch: 1
[ Wed Sep 28 09:02:39 2022 ] 	Mean training loss: 1.7741. loss2: 0.0000. Mean training acc: 47.82%.
[ Wed Sep 28 09:02:39 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:02:39 2022 ] Eval epoch: 2
[ Wed Sep 28 09:03:23 2022 ] 	Mean training loss: 2.8651. loss2: 0.0000. Mean training acc: 24.46%.
[ Wed Sep 28 09:03:23 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:03:23 2022 ] Eval epoch: 1
[ Wed Sep 28 09:04:00 2022 ] 	Mean test loss of 296 batches: 1.8997482798389487.
[ Wed Sep 28 09:04:00 2022 ] 	Top1: 46.74%
[ Wed Sep 28 09:04:00 2022 ] 	Top5: 80.38%
[ Wed Sep 28 09:04:00 2022 ] Training epoch: 2
[ Wed Sep 28 09:05:05 2022 ] 	Mean test loss of 296 batches: 1.2201968755673718.
[ Wed Sep 28 09:05:05 2022 ] 	Top1: 62.74%
[ Wed Sep 28 09:05:05 2022 ] 	Top5: 92.30%
[ Wed Sep 28 09:05:05 2022 ] Training epoch: 3
[ Wed Sep 28 09:05:52 2022 ] 	Mean test loss of 296 batches: 1.8997482798389487.
[ Wed Sep 28 09:05:52 2022 ] 	Top1: 46.74%
[ Wed Sep 28 09:05:52 2022 ] 	Top5: 80.38%
[ Wed Sep 28 09:05:52 2022 ] Training epoch: 2
[ Wed Sep 28 09:08:07 2022 ] 	Mean training loss: 2.8651. loss2: 0.0000. Mean training acc: 24.46%.
[ Wed Sep 28 09:08:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:08:07 2022 ] Eval epoch: 1
[ Wed Sep 28 09:10:40 2022 ] 	Mean test loss of 296 batches: 1.8997482798389487.
[ Wed Sep 28 09:10:40 2022 ] 	Top1: 46.74%
[ Wed Sep 28 09:10:40 2022 ] 	Top5: 80.38%
[ Wed Sep 28 09:10:40 2022 ] Training epoch: 2
[ Wed Sep 28 09:16:31 2022 ] 	Mean training loss: 1.7746. loss2: 0.0000. Mean training acc: 47.95%.
[ Wed Sep 28 09:16:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:16:31 2022 ] Eval epoch: 2
[ Wed Sep 28 09:17:35 2022 ] 	Mean training loss: 1.3790. loss2: 0.0000. Mean training acc: 58.44%.
[ Wed Sep 28 09:17:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:17:35 2022 ] Eval epoch: 3
[ Wed Sep 28 09:18:24 2022 ] 	Mean training loss: 1.7746. loss2: 0.0000. Mean training acc: 47.95%.
[ Wed Sep 28 09:18:24 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:18:24 2022 ] Eval epoch: 2
[ Wed Sep 28 09:18:57 2022 ] 	Mean test loss of 296 batches: 1.4933333845960128.
[ Wed Sep 28 09:18:57 2022 ] 	Top1: 56.11%
[ Wed Sep 28 09:18:58 2022 ] 	Top5: 87.62%
[ Wed Sep 28 09:18:58 2022 ] Training epoch: 3
[ Wed Sep 28 09:20:01 2022 ] 	Mean test loss of 296 batches: 1.1564783635171685.
[ Wed Sep 28 09:20:01 2022 ] 	Top1: 64.61%
[ Wed Sep 28 09:20:01 2022 ] 	Top5: 93.42%
[ Wed Sep 28 09:20:01 2022 ] Training epoch: 4
[ Wed Sep 28 09:20:49 2022 ] 	Mean test loss of 296 batches: 1.4933333845960128.
[ Wed Sep 28 09:20:49 2022 ] 	Top1: 56.11%
[ Wed Sep 28 09:20:49 2022 ] 	Top5: 87.62%
[ Wed Sep 28 09:20:49 2022 ] Training epoch: 3
[ Wed Sep 28 09:23:13 2022 ] 	Mean training loss: 1.7746. loss2: 0.0000. Mean training acc: 47.95%.
[ Wed Sep 28 09:23:13 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:23:13 2022 ] Eval epoch: 2
[ Wed Sep 28 09:25:42 2022 ] 	Mean test loss of 296 batches: 1.4933333845960128.
[ Wed Sep 28 09:25:42 2022 ] 	Top1: 56.11%
[ Wed Sep 28 09:25:42 2022 ] 	Top5: 87.62%
[ Wed Sep 28 09:25:42 2022 ] Training epoch: 3
[ Wed Sep 28 09:31:29 2022 ] 	Mean training loss: 1.3956. loss2: 0.0000. Mean training acc: 58.03%.
[ Wed Sep 28 09:31:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:31:29 2022 ] Eval epoch: 3
[ Wed Sep 28 09:32:31 2022 ] 	Mean training loss: 1.1704. loss2: 0.0000. Mean training acc: 64.19%.
[ Wed Sep 28 09:32:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:32:31 2022 ] Eval epoch: 4
[ Wed Sep 28 09:33:21 2022 ] 	Mean training loss: 1.3956. loss2: 0.0000. Mean training acc: 58.03%.
[ Wed Sep 28 09:33:21 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:33:21 2022 ] Eval epoch: 3
[ Wed Sep 28 09:33:55 2022 ] 	Mean test loss of 296 batches: 1.1392155994434614.
[ Wed Sep 28 09:33:55 2022 ] 	Top1: 65.42%
[ Wed Sep 28 09:33:56 2022 ] 	Top5: 93.19%
[ Wed Sep 28 09:33:56 2022 ] Training epoch: 4
[ Wed Sep 28 09:34:57 2022 ] 	Mean test loss of 296 batches: 1.0358738862984889.
[ Wed Sep 28 09:34:58 2022 ] 	Top1: 67.01%
[ Wed Sep 28 09:34:58 2022 ] 	Top5: 93.85%
[ Wed Sep 28 09:34:58 2022 ] Training epoch: 5
[ Wed Sep 28 09:35:47 2022 ] 	Mean test loss of 296 batches: 1.1392155994434614.
[ Wed Sep 28 09:35:47 2022 ] 	Top1: 65.42%
[ Wed Sep 28 09:35:47 2022 ] 	Top5: 93.19%
[ Wed Sep 28 09:35:47 2022 ] Training epoch: 4
[ Wed Sep 28 09:38:15 2022 ] 	Mean training loss: 1.3956. loss2: 0.0000. Mean training acc: 58.03%.
[ Wed Sep 28 09:38:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:38:15 2022 ] Eval epoch: 3
[ Wed Sep 28 09:40:43 2022 ] 	Mean test loss of 296 batches: 1.1392155994434614.
[ Wed Sep 28 09:40:43 2022 ] 	Top1: 65.42%
[ Wed Sep 28 09:40:44 2022 ] 	Top5: 93.19%
[ Wed Sep 28 09:40:44 2022 ] Training epoch: 4
[ Wed Sep 28 09:46:27 2022 ] 	Mean training loss: 1.1917. loss2: 0.0000. Mean training acc: 63.75%.
[ Wed Sep 28 09:46:27 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:46:27 2022 ] Eval epoch: 4
[ Wed Sep 28 09:47:28 2022 ] 	Mean training loss: 1.0784. loss2: 0.0000. Mean training acc: 66.79%.
[ Wed Sep 28 09:47:28 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:47:28 2022 ] Eval epoch: 5
[ Wed Sep 28 09:48:19 2022 ] 	Mean training loss: 1.1917. loss2: 0.0000. Mean training acc: 63.75%.
[ Wed Sep 28 09:48:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:48:19 2022 ] Eval epoch: 4
[ Wed Sep 28 09:48:53 2022 ] 	Mean test loss of 296 batches: 1.1168940828458682.
[ Wed Sep 28 09:48:53 2022 ] 	Top1: 66.06%
[ Wed Sep 28 09:48:53 2022 ] 	Top5: 93.03%
[ Wed Sep 28 09:48:53 2022 ] Training epoch: 5
[ Wed Sep 28 09:49:54 2022 ] 	Mean test loss of 296 batches: 0.8088706906985592.
[ Wed Sep 28 09:49:54 2022 ] 	Top1: 74.49%
[ Wed Sep 28 09:49:54 2022 ] 	Top5: 96.04%
[ Wed Sep 28 09:49:54 2022 ] Training epoch: 6
[ Wed Sep 28 09:50:44 2022 ] 	Mean test loss of 296 batches: 1.1168940828458682.
[ Wed Sep 28 09:50:44 2022 ] 	Top1: 66.06%
[ Wed Sep 28 09:50:44 2022 ] 	Top5: 93.03%
[ Wed Sep 28 09:50:44 2022 ] Training epoch: 5
[ Wed Sep 28 09:53:17 2022 ] 	Mean training loss: 1.1917. loss2: 0.0000. Mean training acc: 63.75%.
[ Wed Sep 28 09:53:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 09:53:17 2022 ] Eval epoch: 4
[ Wed Sep 28 09:55:45 2022 ] 	Mean test loss of 296 batches: 1.1168940828458682.
[ Wed Sep 28 09:55:45 2022 ] 	Top1: 66.06%
[ Wed Sep 28 09:55:46 2022 ] 	Top5: 93.03%
[ Wed Sep 28 09:55:46 2022 ] Training epoch: 5
[ Wed Sep 28 10:01:25 2022 ] 	Mean training loss: 1.0750. loss2: 0.0000. Mean training acc: 67.08%.
[ Wed Sep 28 10:01:25 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:01:25 2022 ] Eval epoch: 5
[ Wed Sep 28 10:02:24 2022 ] 	Mean training loss: 0.9743. loss2: 0.0000. Mean training acc: 69.84%.
[ Wed Sep 28 10:02:24 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:02:24 2022 ] Eval epoch: 6
[ Wed Sep 28 10:03:16 2022 ] 	Mean training loss: 1.0750. loss2: 0.0000. Mean training acc: 67.08%.
[ Wed Sep 28 10:03:16 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:03:16 2022 ] Eval epoch: 5
[ Wed Sep 28 10:03:51 2022 ] 	Mean test loss of 296 batches: 0.8605674984487327.
[ Wed Sep 28 10:03:51 2022 ] 	Top1: 72.12%
[ Wed Sep 28 10:03:51 2022 ] 	Top5: 96.04%
[ Wed Sep 28 10:03:51 2022 ] Training epoch: 6
[ Wed Sep 28 10:04:50 2022 ] 	Mean test loss of 296 batches: 1.029121051970366.
[ Wed Sep 28 10:04:50 2022 ] 	Top1: 68.51%
[ Wed Sep 28 10:04:50 2022 ] 	Top5: 93.94%
[ Wed Sep 28 10:04:50 2022 ] Training epoch: 7
[ Wed Sep 28 10:05:42 2022 ] 	Mean test loss of 296 batches: 0.8605674984487327.
[ Wed Sep 28 10:05:42 2022 ] 	Top1: 72.12%
[ Wed Sep 28 10:05:42 2022 ] 	Top5: 96.04%
[ Wed Sep 28 10:05:42 2022 ] Training epoch: 6
[ Wed Sep 28 10:08:19 2022 ] 	Mean training loss: 1.0750. loss2: 0.0000. Mean training acc: 67.08%.
[ Wed Sep 28 10:08:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:08:19 2022 ] Eval epoch: 5
[ Wed Sep 28 10:10:47 2022 ] 	Mean test loss of 296 batches: 0.8605674984487327.
[ Wed Sep 28 10:10:47 2022 ] 	Top1: 72.12%
[ Wed Sep 28 10:10:48 2022 ] 	Top5: 96.04%
[ Wed Sep 28 10:10:48 2022 ] Training epoch: 6
[ Wed Sep 28 10:16:23 2022 ] 	Mean training loss: 0.9661. loss2: 0.0000. Mean training acc: 70.10%.
[ Wed Sep 28 10:16:23 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:16:23 2022 ] Eval epoch: 6
[ Wed Sep 28 10:17:21 2022 ] 	Mean training loss: 0.8968. loss2: 0.0000. Mean training acc: 72.04%.
[ Wed Sep 28 10:17:21 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:17:21 2022 ] Eval epoch: 7
[ Wed Sep 28 10:18:13 2022 ] 	Mean training loss: 0.9661. loss2: 0.0000. Mean training acc: 70.10%.
[ Wed Sep 28 10:18:13 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:18:13 2022 ] Eval epoch: 6
[ Wed Sep 28 10:18:49 2022 ] 	Mean test loss of 296 batches: 0.7813297313814228.
[ Wed Sep 28 10:18:49 2022 ] 	Top1: 75.46%
[ Wed Sep 28 10:18:49 2022 ] 	Top5: 96.66%
[ Wed Sep 28 10:18:49 2022 ] Training epoch: 7
[ Wed Sep 28 10:19:47 2022 ] 	Mean test loss of 296 batches: 0.751100534220805.
[ Wed Sep 28 10:19:47 2022 ] 	Top1: 75.98%
[ Wed Sep 28 10:19:47 2022 ] 	Top5: 96.79%
[ Wed Sep 28 10:19:47 2022 ] Training epoch: 8
[ Wed Sep 28 10:20:39 2022 ] 	Mean test loss of 296 batches: 0.7813297313814228.
[ Wed Sep 28 10:20:39 2022 ] 	Top1: 75.46%
[ Wed Sep 28 10:20:39 2022 ] 	Top5: 96.66%
[ Wed Sep 28 10:20:39 2022 ] Training epoch: 7
[ Wed Sep 28 10:23:21 2022 ] 	Mean training loss: 0.9661. loss2: 0.0000. Mean training acc: 70.10%.
[ Wed Sep 28 10:23:21 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:23:21 2022 ] Eval epoch: 6
[ Wed Sep 28 10:25:50 2022 ] 	Mean test loss of 296 batches: 0.7813297313814228.
[ Wed Sep 28 10:25:50 2022 ] 	Top1: 75.46%
[ Wed Sep 28 10:25:50 2022 ] 	Top5: 96.66%
[ Wed Sep 28 10:25:50 2022 ] Training epoch: 7
[ Wed Sep 28 10:31:21 2022 ] 	Mean training loss: 0.9029. loss2: 0.0000. Mean training acc: 71.81%.
[ Wed Sep 28 10:31:21 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:31:21 2022 ] Eval epoch: 7
[ Wed Sep 28 10:32:17 2022 ] 	Mean training loss: 0.8542. loss2: 0.0000. Mean training acc: 73.50%.
[ Wed Sep 28 10:32:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:32:17 2022 ] Eval epoch: 8
[ Wed Sep 28 10:33:11 2022 ] 	Mean training loss: 0.9029. loss2: 0.0000. Mean training acc: 71.81%.
[ Wed Sep 28 10:33:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:33:11 2022 ] Eval epoch: 7
[ Wed Sep 28 10:33:47 2022 ] 	Mean test loss of 296 batches: 0.8051592616011968.
[ Wed Sep 28 10:33:47 2022 ] 	Top1: 73.69%
[ Wed Sep 28 10:33:47 2022 ] 	Top5: 96.37%
[ Wed Sep 28 10:33:47 2022 ] Training epoch: 8
[ Wed Sep 28 10:34:43 2022 ] 	Mean test loss of 296 batches: 0.7438878394864701.
[ Wed Sep 28 10:34:43 2022 ] 	Top1: 75.98%
[ Wed Sep 28 10:34:43 2022 ] 	Top5: 97.20%
[ Wed Sep 28 10:34:43 2022 ] Training epoch: 9
[ Wed Sep 28 10:35:36 2022 ] 	Mean test loss of 296 batches: 0.8051592616011968.
[ Wed Sep 28 10:35:36 2022 ] 	Top1: 73.69%
[ Wed Sep 28 10:35:36 2022 ] 	Top5: 96.37%
[ Wed Sep 28 10:35:36 2022 ] Training epoch: 8
[ Wed Sep 28 10:38:23 2022 ] 	Mean training loss: 0.9029. loss2: 0.0000. Mean training acc: 71.81%.
[ Wed Sep 28 10:38:23 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:38:23 2022 ] Eval epoch: 7
[ Wed Sep 28 10:40:52 2022 ] 	Mean test loss of 296 batches: 0.8051592616011968.
[ Wed Sep 28 10:40:52 2022 ] 	Top1: 73.69%
[ Wed Sep 28 10:40:52 2022 ] 	Top5: 96.37%
[ Wed Sep 28 10:40:52 2022 ] Training epoch: 8
[ Wed Sep 28 10:45:22 2022 ] 	Mean training loss: 0.8671. loss2: 0.0000. Mean training acc: 73.18%.
[ Wed Sep 28 10:45:22 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:45:22 2022 ] Eval epoch: 8
[ Wed Sep 28 10:46:02 2022 ] 	Mean training loss: 0.8235. loss2: 0.0000. Mean training acc: 74.30%.
[ Wed Sep 28 10:46:02 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:46:02 2022 ] Eval epoch: 9
[ Wed Sep 28 10:46:45 2022 ] 	Mean training loss: 0.8671. loss2: 0.0000. Mean training acc: 73.18%.
[ Wed Sep 28 10:46:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:46:45 2022 ] Eval epoch: 8
[ Wed Sep 28 10:47:11 2022 ] 	Mean test loss of 296 batches: 0.7972839126313055.
[ Wed Sep 28 10:47:11 2022 ] 	Top1: 74.27%
[ Wed Sep 28 10:47:11 2022 ] 	Top5: 96.51%
[ Wed Sep 28 10:47:11 2022 ] Training epoch: 9
[ Wed Sep 28 10:47:51 2022 ] 	Mean test loss of 296 batches: 0.8362072591443319.
[ Wed Sep 28 10:47:51 2022 ] 	Top1: 73.24%
[ Wed Sep 28 10:47:51 2022 ] 	Top5: 95.52%
[ Wed Sep 28 10:47:51 2022 ] Training epoch: 10
[ Wed Sep 28 10:48:32 2022 ] 	Mean test loss of 296 batches: 0.7972839126313055.
[ Wed Sep 28 10:48:32 2022 ] 	Top1: 74.27%
[ Wed Sep 28 10:48:32 2022 ] 	Top5: 96.51%
[ Wed Sep 28 10:48:32 2022 ] Training epoch: 9
[ Wed Sep 28 10:56:34 2022 ] 	Mean training loss: 0.8282. loss2: 0.0000. Mean training acc: 74.15%.
[ Wed Sep 28 10:56:34 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:56:34 2022 ] Eval epoch: 9
[ Wed Sep 28 10:57:14 2022 ] 	Mean training loss: 0.7919. loss2: 0.0000. Mean training acc: 75.29%.
[ Wed Sep 28 10:57:14 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:57:14 2022 ] Eval epoch: 10
[ Wed Sep 28 10:57:56 2022 ] 	Mean training loss: 0.8282. loss2: 0.0000. Mean training acc: 74.15%.
[ Wed Sep 28 10:57:56 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 10:57:56 2022 ] Eval epoch: 9
[ Wed Sep 28 10:58:23 2022 ] 	Mean test loss of 296 batches: 0.7846029766306684.
[ Wed Sep 28 10:58:23 2022 ] 	Top1: 74.97%
[ Wed Sep 28 10:58:23 2022 ] 	Top5: 96.11%
[ Wed Sep 28 10:58:23 2022 ] Training epoch: 10
[ Wed Sep 28 10:59:02 2022 ] 	Mean test loss of 296 batches: 0.7024070113091856.
[ Wed Sep 28 10:59:03 2022 ] 	Top1: 77.43%
[ Wed Sep 28 10:59:03 2022 ] 	Top5: 96.79%
[ Wed Sep 28 10:59:03 2022 ] Training epoch: 11
[ Wed Sep 28 10:59:43 2022 ] 	Mean test loss of 296 batches: 0.7846029766306684.
[ Wed Sep 28 10:59:43 2022 ] 	Top1: 74.97%
[ Wed Sep 28 10:59:43 2022 ] 	Top5: 96.11%
[ Wed Sep 28 10:59:43 2022 ] Training epoch: 10
[ Wed Sep 28 11:07:47 2022 ] 	Mean training loss: 0.7984. loss2: 0.0000. Mean training acc: 75.13%.
[ Wed Sep 28 11:07:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 11:07:47 2022 ] Eval epoch: 10
[ Wed Sep 28 11:08:25 2022 ] 	Mean training loss: 0.7756. loss2: 0.0000. Mean training acc: 75.75%.
[ Wed Sep 28 11:08:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 11:08:25 2022 ] Eval epoch: 11
[ Wed Sep 28 11:09:05 2022 ] 	Mean training loss: 0.7984. loss2: 0.0000. Mean training acc: 75.13%.
[ Wed Sep 28 11:09:05 2022 ] 	Time consumption: [Data]01%, [Network]99%
[ Wed Sep 28 11:09:05 2022 ] Eval epoch: 10
[ Wed Sep 28 11:09:35 2022 ] 	Mean test loss of 296 batches: 0.7105546718513643.
[ Wed Sep 28 11:09:35 2022 ] 	Top1: 77.42%
[ Wed Sep 28 11:09:35 2022 ] 	Top5: 96.77%
[ Wed Sep 28 11:09:35 2022 ] Training epoch: 11
[ Wed Sep 28 11:10:14 2022 ] 	Mean test loss of 296 batches: 0.8936766974023871.
[ Wed Sep 28 11:10:14 2022 ] 	Top1: 72.99%
[ Wed Sep 28 11:10:15 2022 ] 	Top5: 95.01%
[ Wed Sep 28 11:10:15 2022 ] Training epoch: 12
[ Wed Sep 28 11:10:52 2022 ] 	Mean test loss of 296 batches: 0.7105546718513643.
[ Wed Sep 28 11:10:52 2022 ] 	Top1: 77.42%
[ Wed Sep 28 11:10:52 2022 ] 	Top5: 96.77%
[ Wed Sep 28 11:10:52 2022 ] Training epoch: 11
[ Wed Sep 28 11:19:00 2022 ] 	Mean training loss: 0.7844. loss2: 0.0000. Mean training acc: 75.47%.
[ Wed Sep 28 11:19:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 11:19:00 2022 ] Eval epoch: 11
[ Wed Sep 28 11:19:38 2022 ] 	Mean training loss: 0.7563. loss2: 0.0000. Mean training acc: 76.29%.
[ Wed Sep 28 11:19:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 11:19:38 2022 ] Eval epoch: 12
[ Wed Sep 28 11:20:14 2022 ] 	Mean training loss: 0.7844. loss2: 0.0000. Mean training acc: 75.47%.
[ Wed Sep 28 11:20:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Wed Sep 28 11:20:14 2022 ] Eval epoch: 11
[ Wed Sep 28 11:20:49 2022 ] 	Mean test loss of 296 batches: 0.6330519010489052.
[ Wed Sep 28 11:20:49 2022 ] 	Top1: 80.07%
[ Wed Sep 28 11:20:49 2022 ] 	Top5: 97.13%
[ Wed Sep 28 11:20:49 2022 ] Training epoch: 12
[ Wed Sep 28 11:21:22 2022 ] 	Mean test loss of 296 batches: 0.7977025068893626.
[ Wed Sep 28 11:21:22 2022 ] 	Top1: 74.85%
[ Wed Sep 28 11:21:22 2022 ] 	Top5: 96.28%
[ Wed Sep 28 11:21:22 2022 ] Training epoch: 13
[ Wed Sep 28 11:21:39 2022 ] 	Mean test loss of 296 batches: 0.6330519010489052.
[ Wed Sep 28 11:21:39 2022 ] 	Top1: 80.07%
[ Wed Sep 28 11:21:39 2022 ] 	Top5: 97.13%
[ Wed Sep 28 11:21:39 2022 ] Training epoch: 12
