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ckpt/Others/InfoGCN/ntu_120_xset_LT/b/best_score.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c165f4c255132c9fe7c3d14266ebbf85ff956f55bbc0feaab89aff674a6e3a80
+size 31278306

ckpt/Others/InfoGCN/ntu_120_xset_LT/b/log.txt

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+[ Tue Aug 23 22:22:50 2022 ] using warm up, epoch: 5
+[ Tue Aug 23 22:23:21 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 120, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu120/NTU120_CSet_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': False, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_120_xset_LT/b', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 1, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 256, 'test_batch_size': 256, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Tue Aug 23 22:23:21 2022 ] # Parameters: 1572227
+[ Tue Aug 23 22:23:21 2022 ] Training epoch: 1
+[ Tue Aug 23 22:23:49 2022 ] 	Training loss: 6.1167.  Training acc: 4.99%.
+[ Tue Aug 23 22:23:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:23:49 2022 ] Eval epoch: 1
+[ Tue Aug 23 22:24:36 2022 ] 	Mean test loss of 156 batches: 6.340711.
+[ Tue Aug 23 22:24:36 2022 ] 	Top1: 0.84%
+[ Tue Aug 23 22:24:36 2022 ] 	Top5: 4.47%
+[ Tue Aug 23 22:24:37 2022 ] Training epoch: 2
+[ Tue Aug 23 22:25:01 2022 ] 	Training loss: 4.4034.  Training acc: 9.97%.
+[ Tue Aug 23 22:25:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:25:01 2022 ] Eval epoch: 2
+[ Tue Aug 23 22:25:47 2022 ] 	Mean test loss of 156 batches: 4.866331.
+[ Tue Aug 23 22:25:48 2022 ] 	Top1: 4.71%
+[ Tue Aug 23 22:25:49 2022 ] 	Top5: 16.24%
+[ Tue Aug 23 22:25:49 2022 ] Training epoch: 3
+[ Tue Aug 23 22:26:13 2022 ] 	Training loss: 3.6045.  Training acc: 18.56%.
+[ Tue Aug 23 22:26:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:26:13 2022 ] Eval epoch: 3
+[ Tue Aug 23 22:26:58 2022 ] 	Mean test loss of 156 batches: 4.537848.
+[ Tue Aug 23 22:27:00 2022 ] 	Top1: 7.71%
+[ Tue Aug 23 22:27:01 2022 ] 	Top5: 24.26%
+[ Tue Aug 23 22:27:02 2022 ] Training epoch: 4
+[ Tue Aug 23 22:27:25 2022 ] 	Training loss: 3.3347.  Training acc: 24.48%.
+[ Tue Aug 23 22:27:25 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:27:25 2022 ] Eval epoch: 4
+[ Tue Aug 23 22:28:12 2022 ] 	Mean test loss of 156 batches: 4.399102.
+[ Tue Aug 23 22:28:12 2022 ] 	Top1: 11.42%
+[ Tue Aug 23 22:28:13 2022 ] 	Top5: 29.96%
+[ Tue Aug 23 22:28:14 2022 ] Training epoch: 5
+[ Tue Aug 23 22:28:38 2022 ] 	Training loss: 3.0802.  Training acc: 30.73%.
+[ Tue Aug 23 22:28:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:28:38 2022 ] Eval epoch: 5
+[ Tue Aug 23 22:29:25 2022 ] 	Mean test loss of 156 batches: 4.147905.
+[ Tue Aug 23 22:29:26 2022 ] 	Top1: 14.92%
+[ Tue Aug 23 22:29:26 2022 ] 	Top5: 35.92%
+[ Tue Aug 23 22:29:27 2022 ] Training epoch: 6
+[ Tue Aug 23 22:29:52 2022 ] 	Training loss: 2.8593.  Training acc: 36.32%.
+[ Tue Aug 23 22:29:52 2022 ] 	Time consumption: [Data]02%, [Network]97%
+[ Tue Aug 23 22:29:52 2022 ] Eval epoch: 6
+[ Tue Aug 23 22:30:38 2022 ] 	Mean test loss of 156 batches: 4.025362.
+[ Tue Aug 23 22:30:39 2022 ] 	Top1: 13.21%
+[ Tue Aug 23 22:30:40 2022 ] 	Top5: 36.12%
+[ Tue Aug 23 22:30:40 2022 ] Training epoch: 7
+[ Tue Aug 23 22:31:04 2022 ] 	Training loss: 2.6931.  Training acc: 41.18%.
+[ Tue Aug 23 22:31:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:31:04 2022 ] Eval epoch: 7
+[ Tue Aug 23 22:31:51 2022 ] 	Mean test loss of 156 batches: 3.709878.
+[ Tue Aug 23 22:31:51 2022 ] 	Top1: 20.88%
+[ Tue Aug 23 22:31:52 2022 ] 	Top5: 44.07%
+[ Tue Aug 23 22:31:52 2022 ] Training epoch: 8
+[ Tue Aug 23 22:32:16 2022 ] 	Training loss: 2.5399.  Training acc: 45.25%.
+[ Tue Aug 23 22:32:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:32:16 2022 ] Eval epoch: 8
+[ Tue Aug 23 22:33:02 2022 ] 	Mean test loss of 156 batches: 3.651789.
+[ Tue Aug 23 22:33:03 2022 ] 	Top1: 22.73%
+[ Tue Aug 23 22:33:03 2022 ] 	Top5: 46.67%
+[ Tue Aug 23 22:33:04 2022 ] Training epoch: 9
+[ Tue Aug 23 22:33:28 2022 ] 	Training loss: 2.4441.  Training acc: 48.26%.
+[ Tue Aug 23 22:33:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:33:28 2022 ] Eval epoch: 9
+[ Tue Aug 23 22:34:16 2022 ] 	Mean test loss of 156 batches: 3.479483.
+[ Tue Aug 23 22:34:16 2022 ] 	Top1: 23.77%
+[ Tue Aug 23 22:34:17 2022 ] 	Top5: 50.67%
+[ Tue Aug 23 22:34:18 2022 ] Training epoch: 10
+[ Tue Aug 23 22:34:41 2022 ] 	Training loss: 2.3695.  Training acc: 51.14%.
+[ Tue Aug 23 22:34:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:34:41 2022 ] Eval epoch: 10
+[ Tue Aug 23 22:35:29 2022 ] 	Mean test loss of 156 batches: 3.865789.
+[ Tue Aug 23 22:35:29 2022 ] 	Top1: 19.38%
+[ Tue Aug 23 22:35:30 2022 ] 	Top5: 45.11%
+[ Tue Aug 23 22:35:30 2022 ] Training epoch: 11
+[ Tue Aug 23 22:35:54 2022 ] 	Training loss: 2.3043.  Training acc: 53.16%.
+[ Tue Aug 23 22:35:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:35:54 2022 ] Eval epoch: 11
+[ Tue Aug 23 22:36:41 2022 ] 	Mean test loss of 156 batches: 3.450035.
+[ Tue Aug 23 22:36:42 2022 ] 	Top1: 25.21%
+[ Tue Aug 23 22:36:42 2022 ] 	Top5: 50.78%
+[ Tue Aug 23 22:36:43 2022 ] Training epoch: 12
+[ Tue Aug 23 22:37:07 2022 ] 	Training loss: 2.2449.  Training acc: 54.63%.
+[ Tue Aug 23 22:37:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:37:07 2022 ] Eval epoch: 12
+[ Tue Aug 23 22:37:51 2022 ] 	Mean test loss of 156 batches: 3.345419.
+[ Tue Aug 23 22:37:51 2022 ] 	Top1: 27.70%
+[ Tue Aug 23 22:37:52 2022 ] 	Top5: 54.16%
+[ Tue Aug 23 22:37:53 2022 ] Training epoch: 13
+[ Tue Aug 23 22:38:16 2022 ] 	Training loss: 2.1735.  Training acc: 57.41%.
+[ Tue Aug 23 22:38:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:38:16 2022 ] Eval epoch: 13
+[ Tue Aug 23 22:39:03 2022 ] 	Mean test loss of 156 batches: 3.381928.
+[ Tue Aug 23 22:39:04 2022 ] 	Top1: 26.92%
+[ Tue Aug 23 22:39:04 2022 ] 	Top5: 54.80%
+[ Tue Aug 23 22:39:05 2022 ] Training epoch: 14
+[ Tue Aug 23 22:39:28 2022 ] 	Training loss: 2.1477.  Training acc: 57.34%.
+[ Tue Aug 23 22:39:28 2022 ] 	Time consumption: [Data]02%, [Network]97%
+[ Tue Aug 23 22:39:28 2022 ] Eval epoch: 14
+[ Tue Aug 23 22:40:14 2022 ] 	Mean test loss of 156 batches: 3.317773.
+[ Tue Aug 23 22:40:15 2022 ] 	Top1: 28.90%
+[ Tue Aug 23 22:40:15 2022 ] 	Top5: 55.69%
+[ Tue Aug 23 22:40:16 2022 ] Training epoch: 15
+[ Tue Aug 23 22:40:40 2022 ] 	Training loss: 2.1154.  Training acc: 58.80%.
+[ Tue Aug 23 22:40:40 2022 ] 	Time consumption: [Data]02%, [Network]97%
+[ Tue Aug 23 22:40:40 2022 ] Eval epoch: 15
+[ Tue Aug 23 22:41:25 2022 ] 	Mean test loss of 156 batches: 3.227427.
+[ Tue Aug 23 22:41:26 2022 ] 	Top1: 30.59%
+[ Tue Aug 23 22:41:27 2022 ] 	Top5: 57.98%
+[ Tue Aug 23 22:41:27 2022 ] Training epoch: 16
+[ Tue Aug 23 22:41:52 2022 ] 	Training loss: 2.0550.  Training acc: 60.94%.
+[ Tue Aug 23 22:41:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:41:52 2022 ] Eval epoch: 16
+[ Tue Aug 23 22:42:37 2022 ] 	Mean test loss of 156 batches: 3.253638.
+[ Tue Aug 23 22:42:38 2022 ] 	Top1: 29.56%
+[ Tue Aug 23 22:42:38 2022 ] 	Top5: 58.89%
+[ Tue Aug 23 22:42:39 2022 ] Training epoch: 17
+[ Tue Aug 23 22:43:04 2022 ] 	Training loss: 2.0312.  Training acc: 61.66%.
+[ Tue Aug 23 22:43:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:43:04 2022 ] Eval epoch: 17
+[ Tue Aug 23 22:43:49 2022 ] 	Mean test loss of 156 batches: 3.182717.
+[ Tue Aug 23 22:43:50 2022 ] 	Top1: 31.34%
+[ Tue Aug 23 22:43:50 2022 ] 	Top5: 59.52%
+[ Tue Aug 23 22:43:51 2022 ] Training epoch: 18
+[ Tue Aug 23 22:44:16 2022 ] 	Training loss: 1.9987.  Training acc: 62.79%.
+[ Tue Aug 23 22:44:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:44:16 2022 ] Eval epoch: 18
+[ Tue Aug 23 22:45:02 2022 ] 	Mean test loss of 156 batches: 3.172188.
+[ Tue Aug 23 22:45:03 2022 ] 	Top1: 30.46%
+[ Tue Aug 23 22:45:03 2022 ] 	Top5: 58.51%
+[ Tue Aug 23 22:45:04 2022 ] Training epoch: 19
+[ Tue Aug 23 22:45:28 2022 ] 	Training loss: 1.9719.  Training acc: 63.55%.
+[ Tue Aug 23 22:45:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:45:28 2022 ] Eval epoch: 19
+[ Tue Aug 23 22:46:15 2022 ] 	Mean test loss of 156 batches: 2.997917.
+[ Tue Aug 23 22:46:15 2022 ] 	Top1: 35.08%
+[ Tue Aug 23 22:46:16 2022 ] 	Top5: 65.08%
+[ Tue Aug 23 22:46:17 2022 ] Training epoch: 20
+[ Tue Aug 23 22:46:40 2022 ] 	Training loss: 1.9460.  Training acc: 64.35%.
+[ Tue Aug 23 22:46:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:46:40 2022 ] Eval epoch: 20
+[ Tue Aug 23 22:47:27 2022 ] 	Mean test loss of 156 batches: 3.282195.
+[ Tue Aug 23 22:47:27 2022 ] 	Top1: 29.97%
+[ Tue Aug 23 22:47:28 2022 ] 	Top5: 57.73%
+[ Tue Aug 23 22:47:28 2022 ] Training epoch: 21
+[ Tue Aug 23 22:47:52 2022 ] 	Training loss: 1.9398.  Training acc: 64.80%.
+[ Tue Aug 23 22:47:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:47:52 2022 ] Eval epoch: 21
+[ Tue Aug 23 22:48:38 2022 ] 	Mean test loss of 156 batches: 2.961420.
+[ Tue Aug 23 22:48:39 2022 ] 	Top1: 35.12%
+[ Tue Aug 23 22:48:39 2022 ] 	Top5: 65.89%
+[ Tue Aug 23 22:48:40 2022 ] Training epoch: 22
+[ Tue Aug 23 22:49:04 2022 ] 	Training loss: 1.8980.  Training acc: 66.14%.
+[ Tue Aug 23 22:49:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:49:04 2022 ] Eval epoch: 22
+[ Tue Aug 23 22:49:51 2022 ] 	Mean test loss of 156 batches: 3.132142.
+[ Tue Aug 23 22:49:51 2022 ] 	Top1: 35.26%
+[ Tue Aug 23 22:49:52 2022 ] 	Top5: 62.33%
+[ Tue Aug 23 22:49:53 2022 ] Training epoch: 23
+[ Tue Aug 23 22:50:17 2022 ] 	Training loss: 1.8745.  Training acc: 66.84%.
+[ Tue Aug 23 22:50:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:50:17 2022 ] Eval epoch: 23
+[ Tue Aug 23 22:51:03 2022 ] 	Mean test loss of 156 batches: 2.959188.
+[ Tue Aug 23 22:51:04 2022 ] 	Top1: 35.51%
+[ Tue Aug 23 22:51:04 2022 ] 	Top5: 66.96%
+[ Tue Aug 23 22:51:05 2022 ] Training epoch: 24
+[ Tue Aug 23 22:51:29 2022 ] 	Training loss: 1.8600.  Training acc: 67.08%.
+[ Tue Aug 23 22:51:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:51:29 2022 ] Eval epoch: 24
+[ Tue Aug 23 22:52:14 2022 ] 	Mean test loss of 156 batches: 2.861495.
+[ Tue Aug 23 22:52:14 2022 ] 	Top1: 38.61%
+[ Tue Aug 23 22:52:15 2022 ] 	Top5: 68.92%
+[ Tue Aug 23 22:52:16 2022 ] Training epoch: 25
+[ Tue Aug 23 22:52:40 2022 ] 	Training loss: 1.8240.  Training acc: 68.22%.
+[ Tue Aug 23 22:52:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:52:40 2022 ] Eval epoch: 25
+[ Tue Aug 23 22:53:27 2022 ] 	Mean test loss of 156 batches: 2.972973.
+[ Tue Aug 23 22:53:28 2022 ] 	Top1: 37.67%
+[ Tue Aug 23 22:53:28 2022 ] 	Top5: 64.59%
+[ Tue Aug 23 22:53:29 2022 ] Training epoch: 26
+[ Tue Aug 23 22:53:53 2022 ] 	Training loss: 1.8115.  Training acc: 68.81%.
+[ Tue Aug 23 22:53:53 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:53:53 2022 ] Eval epoch: 26
+[ Tue Aug 23 22:54:39 2022 ] 	Mean test loss of 156 batches: 2.836566.
+[ Tue Aug 23 22:54:40 2022 ] 	Top1: 39.07%
+[ Tue Aug 23 22:54:40 2022 ] 	Top5: 70.92%
+[ Tue Aug 23 22:54:41 2022 ] Training epoch: 27
+[ Tue Aug 23 22:55:05 2022 ] 	Training loss: 1.7734.  Training acc: 70.04%.
+[ Tue Aug 23 22:55:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:55:05 2022 ] Eval epoch: 27
+[ Tue Aug 23 22:55:50 2022 ] 	Mean test loss of 156 batches: 2.931688.
+[ Tue Aug 23 22:55:51 2022 ] 	Top1: 36.82%
+[ Tue Aug 23 22:55:51 2022 ] 	Top5: 66.70%
+[ Tue Aug 23 22:55:52 2022 ] Training epoch: 28
+[ Tue Aug 23 22:56:16 2022 ] 	Training loss: 1.7634.  Training acc: 70.99%.
+[ Tue Aug 23 22:56:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:56:16 2022 ] Eval epoch: 28
+[ Tue Aug 23 22:57:01 2022 ] 	Mean test loss of 156 batches: 2.899615.
+[ Tue Aug 23 22:57:02 2022 ] 	Top1: 37.52%
+[ Tue Aug 23 22:57:02 2022 ] 	Top5: 68.72%
+[ Tue Aug 23 22:57:03 2022 ] Training epoch: 29
+[ Tue Aug 23 22:57:28 2022 ] 	Training loss: 1.7465.  Training acc: 71.04%.
+[ Tue Aug 23 22:57:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:57:28 2022 ] Eval epoch: 29
+[ Tue Aug 23 22:58:13 2022 ] 	Mean test loss of 156 batches: 2.762698.
+[ Tue Aug 23 22:58:13 2022 ] 	Top1: 41.57%
+[ Tue Aug 23 22:58:14 2022 ] 	Top5: 71.01%
+[ Tue Aug 23 22:58:15 2022 ] Training epoch: 30
+[ Tue Aug 23 22:58:39 2022 ] 	Training loss: 1.7369.  Training acc: 71.64%.
+[ Tue Aug 23 22:58:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:58:39 2022 ] Eval epoch: 30
+[ Tue Aug 23 22:59:25 2022 ] 	Mean test loss of 156 batches: 2.821478.
+[ Tue Aug 23 22:59:25 2022 ] 	Top1: 40.68%
+[ Tue Aug 23 22:59:26 2022 ] 	Top5: 71.24%
+[ Tue Aug 23 22:59:26 2022 ] Training epoch: 31
+[ Tue Aug 23 22:59:50 2022 ] 	Training loss: 1.7178.  Training acc: 71.96%.
+[ Tue Aug 23 22:59:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:59:50 2022 ] Eval epoch: 31
+[ Tue Aug 23 23:00:34 2022 ] 	Mean test loss of 156 batches: 2.813312.
+[ Tue Aug 23 23:00:35 2022 ] 	Top1: 39.16%
+[ Tue Aug 23 23:00:35 2022 ] 	Top5: 71.86%
+[ Tue Aug 23 23:00:36 2022 ] Training epoch: 32
+[ Tue Aug 23 23:01:00 2022 ] 	Training loss: 1.6992.  Training acc: 72.60%.
+[ Tue Aug 23 23:01:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:01:00 2022 ] Eval epoch: 32
+[ Tue Aug 23 23:01:46 2022 ] 	Mean test loss of 156 batches: 2.725345.
+[ Tue Aug 23 23:01:47 2022 ] 	Top1: 42.05%
+[ Tue Aug 23 23:01:47 2022 ] 	Top5: 73.65%
+[ Tue Aug 23 23:01:48 2022 ] Training epoch: 33
+[ Tue Aug 23 23:02:12 2022 ] 	Training loss: 1.6824.  Training acc: 73.23%.
+[ Tue Aug 23 23:02:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:02:12 2022 ] Eval epoch: 33
+[ Tue Aug 23 23:02:59 2022 ] 	Mean test loss of 156 batches: 2.783364.
+[ Tue Aug 23 23:02:59 2022 ] 	Top1: 40.91%
+[ Tue Aug 23 23:03:00 2022 ] 	Top5: 72.90%
+[ Tue Aug 23 23:03:00 2022 ] Training epoch: 34
+[ Tue Aug 23 23:03:24 2022 ] 	Training loss: 1.6592.  Training acc: 74.08%.
+[ Tue Aug 23 23:03:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:03:24 2022 ] Eval epoch: 34
+[ Tue Aug 23 23:04:10 2022 ] 	Mean test loss of 156 batches: 2.811401.
+[ Tue Aug 23 23:04:10 2022 ] 	Top1: 40.42%
+[ Tue Aug 23 23:04:11 2022 ] 	Top5: 70.85%
+[ Tue Aug 23 23:04:11 2022 ] Training epoch: 35
+[ Tue Aug 23 23:04:34 2022 ] 	Training loss: 1.6377.  Training acc: 74.43%.
+[ Tue Aug 23 23:04:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:04:34 2022 ] Eval epoch: 35
+[ Tue Aug 23 23:05:21 2022 ] 	Mean test loss of 156 batches: 2.679937.
+[ Tue Aug 23 23:05:21 2022 ] 	Top1: 42.72%
+[ Tue Aug 23 23:05:22 2022 ] 	Top5: 76.17%
+[ Tue Aug 23 23:05:22 2022 ] Training epoch: 36
+[ Tue Aug 23 23:05:47 2022 ] 	Training loss: 1.6206.  Training acc: 75.09%.
+[ Tue Aug 23 23:05:47 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:05:47 2022 ] Eval epoch: 36
+[ Tue Aug 23 23:06:33 2022 ] 	Mean test loss of 156 batches: 2.774067.
+[ Tue Aug 23 23:06:33 2022 ] 	Top1: 41.25%
+[ Tue Aug 23 23:06:34 2022 ] 	Top5: 71.79%
+[ Tue Aug 23 23:06:34 2022 ] Training epoch: 37
+[ Tue Aug 23 23:06:59 2022 ] 	Training loss: 1.5923.  Training acc: 76.52%.
+[ Tue Aug 23 23:06:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:06:59 2022 ] Eval epoch: 37
+[ Tue Aug 23 23:07:43 2022 ] 	Mean test loss of 156 batches: 2.615318.
+[ Tue Aug 23 23:07:43 2022 ] 	Top1: 44.81%
+[ Tue Aug 23 23:07:44 2022 ] 	Top5: 77.53%
+[ Tue Aug 23 23:07:45 2022 ] Training epoch: 38
+[ Tue Aug 23 23:08:09 2022 ] 	Training loss: 1.5946.  Training acc: 76.56%.
+[ Tue Aug 23 23:08:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:08:09 2022 ] Eval epoch: 38
+[ Tue Aug 23 23:08:56 2022 ] 	Mean test loss of 156 batches: 2.694093.
+[ Tue Aug 23 23:08:57 2022 ] 	Top1: 42.93%
+[ Tue Aug 23 23:08:57 2022 ] 	Top5: 75.12%
+[ Tue Aug 23 23:08:58 2022 ] Training epoch: 39
+[ Tue Aug 23 23:09:22 2022 ] 	Training loss: 1.5864.  Training acc: 76.65%.
+[ Tue Aug 23 23:09:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:09:22 2022 ] Eval epoch: 39
+[ Tue Aug 23 23:10:06 2022 ] 	Mean test loss of 156 batches: 2.621351.
+[ Tue Aug 23 23:10:07 2022 ] 	Top1: 44.19%
+[ Tue Aug 23 23:10:07 2022 ] 	Top5: 76.07%
+[ Tue Aug 23 23:10:08 2022 ] Training epoch: 40
+[ Tue Aug 23 23:10:32 2022 ] 	Training loss: 1.5554.  Training acc: 77.92%.
+[ Tue Aug 23 23:10:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:10:32 2022 ] Eval epoch: 40
+[ Tue Aug 23 23:11:17 2022 ] 	Mean test loss of 156 batches: 2.642470.
+[ Tue Aug 23 23:11:17 2022 ] 	Top1: 44.15%
+[ Tue Aug 23 23:11:18 2022 ] 	Top5: 74.56%
+[ Tue Aug 23 23:11:18 2022 ] Training epoch: 41
+[ Tue Aug 23 23:11:44 2022 ] 	Training loss: 1.5444.  Training acc: 77.72%.
+[ Tue Aug 23 23:11:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:11:44 2022 ] Eval epoch: 41
+[ Tue Aug 23 23:12:30 2022 ] 	Mean test loss of 156 batches: 2.559725.
+[ Tue Aug 23 23:12:31 2022 ] 	Top1: 46.61%
+[ Tue Aug 23 23:12:31 2022 ] 	Top5: 77.64%
+[ Tue Aug 23 23:12:32 2022 ] Training epoch: 42
+[ Tue Aug 23 23:12:56 2022 ] 	Training loss: 1.5397.  Training acc: 78.57%.
+[ Tue Aug 23 23:12:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:12:56 2022 ] Eval epoch: 42
+[ Tue Aug 23 23:13:43 2022 ] 	Mean test loss of 156 batches: 2.561412.
+[ Tue Aug 23 23:13:43 2022 ] 	Top1: 45.91%
+[ Tue Aug 23 23:13:44 2022 ] 	Top5: 78.29%
+[ Tue Aug 23 23:13:44 2022 ] Training epoch: 43
+[ Tue Aug 23 23:14:08 2022 ] 	Training loss: 1.5332.  Training acc: 78.57%.
+[ Tue Aug 23 23:14:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:14:08 2022 ] Eval epoch: 43
+[ Tue Aug 23 23:14:55 2022 ] 	Mean test loss of 156 batches: 2.545860.
+[ Tue Aug 23 23:14:55 2022 ] 	Top1: 46.16%
+[ Tue Aug 23 23:14:56 2022 ] 	Top5: 78.91%
+[ Tue Aug 23 23:14:56 2022 ] Training epoch: 44
+[ Tue Aug 23 23:15:20 2022 ] 	Training loss: 1.5157.  Training acc: 78.87%.
+[ Tue Aug 23 23:15:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:15:20 2022 ] Eval epoch: 44
+[ Tue Aug 23 23:16:08 2022 ] 	Mean test loss of 156 batches: 2.604899.
+[ Tue Aug 23 23:16:09 2022 ] 	Top1: 45.60%
+[ Tue Aug 23 23:16:09 2022 ] 	Top5: 77.78%
+[ Tue Aug 23 23:16:10 2022 ] Training epoch: 45
+[ Tue Aug 23 23:16:33 2022 ] 	Training loss: 1.4908.  Training acc: 80.05%.
+[ Tue Aug 23 23:16:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:16:33 2022 ] Eval epoch: 45
+[ Tue Aug 23 23:17:18 2022 ] 	Mean test loss of 156 batches: 2.616924.
+[ Tue Aug 23 23:17:19 2022 ] 	Top1: 44.79%
+[ Tue Aug 23 23:17:19 2022 ] 	Top5: 77.27%
+[ Tue Aug 23 23:17:20 2022 ] Training epoch: 46
+[ Tue Aug 23 23:17:43 2022 ] 	Training loss: 1.4709.  Training acc: 80.78%.
+[ Tue Aug 23 23:17:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:17:43 2022 ] Eval epoch: 46
+[ Tue Aug 23 23:18:31 2022 ] 	Mean test loss of 156 batches: 2.631540.
+[ Tue Aug 23 23:18:32 2022 ] 	Top1: 44.82%
+[ Tue Aug 23 23:18:32 2022 ] 	Top5: 76.42%
+[ Tue Aug 23 23:18:33 2022 ] Training epoch: 47
+[ Tue Aug 23 23:18:57 2022 ] 	Training loss: 1.4583.  Training acc: 81.13%.
+[ Tue Aug 23 23:18:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:18:57 2022 ] Eval epoch: 47
+[ Tue Aug 23 23:19:46 2022 ] 	Mean test loss of 156 batches: 2.548167.
+[ Tue Aug 23 23:19:46 2022 ] 	Top1: 47.21%
+[ Tue Aug 23 23:19:47 2022 ] 	Top5: 78.57%
+[ Tue Aug 23 23:19:47 2022 ] Training epoch: 48
+[ Tue Aug 23 23:20:13 2022 ] 	Training loss: 1.4404.  Training acc: 82.06%.
+[ Tue Aug 23 23:20:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:20:13 2022 ] Eval epoch: 48
+[ Tue Aug 23 23:21:00 2022 ] 	Mean test loss of 156 batches: 2.476230.
+[ Tue Aug 23 23:21:00 2022 ] 	Top1: 48.65%
+[ Tue Aug 23 23:21:01 2022 ] 	Top5: 80.34%
+[ Tue Aug 23 23:21:02 2022 ] Training epoch: 49
+[ Tue Aug 23 23:21:26 2022 ] 	Training loss: 1.4268.  Training acc: 82.40%.
+[ Tue Aug 23 23:21:26 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:21:26 2022 ] Eval epoch: 49
+[ Tue Aug 23 23:22:10 2022 ] 	Mean test loss of 156 batches: 2.617781.
+[ Tue Aug 23 23:22:10 2022 ] 	Top1: 45.75%
+[ Tue Aug 23 23:22:11 2022 ] 	Top5: 76.87%
+[ Tue Aug 23 23:22:11 2022 ] Training epoch: 50
+[ Tue Aug 23 23:22:36 2022 ] 	Training loss: 1.4185.  Training acc: 82.30%.
+[ Tue Aug 23 23:22:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:22:36 2022 ] Eval epoch: 50
+[ Tue Aug 23 23:23:21 2022 ] 	Mean test loss of 156 batches: 2.576481.
+[ Tue Aug 23 23:23:22 2022 ] 	Top1: 47.57%
+[ Tue Aug 23 23:23:22 2022 ] 	Top5: 79.18%
+[ Tue Aug 23 23:23:23 2022 ] Training epoch: 51
+[ Tue Aug 23 23:23:47 2022 ] 	Training loss: 1.4015.  Training acc: 82.99%.
+[ Tue Aug 23 23:23:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:23:47 2022 ] Eval epoch: 51
+[ Tue Aug 23 23:24:33 2022 ] 	Mean test loss of 156 batches: 2.453753.
+[ Tue Aug 23 23:24:33 2022 ] 	Top1: 50.23%
+[ Tue Aug 23 23:24:34 2022 ] 	Top5: 80.68%
+[ Tue Aug 23 23:24:35 2022 ] Training epoch: 52
+[ Tue Aug 23 23:25:00 2022 ] 	Training loss: 1.3958.  Training acc: 83.15%.
+[ Tue Aug 23 23:25:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:25:00 2022 ] Eval epoch: 52
+[ Tue Aug 23 23:25:46 2022 ] 	Mean test loss of 156 batches: 2.467207.
+[ Tue Aug 23 23:25:47 2022 ] 	Top1: 49.49%
+[ Tue Aug 23 23:25:47 2022 ] 	Top5: 80.37%
+[ Tue Aug 23 23:25:48 2022 ] Training epoch: 53
+[ Tue Aug 23 23:26:12 2022 ] 	Training loss: 1.3781.  Training acc: 83.88%.
+[ Tue Aug 23 23:26:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:26:12 2022 ] Eval epoch: 53
+[ Tue Aug 23 23:26:57 2022 ] 	Mean test loss of 156 batches: 2.442726.
+[ Tue Aug 23 23:26:58 2022 ] 	Top1: 49.18%
+[ Tue Aug 23 23:26:58 2022 ] 	Top5: 82.37%
+[ Tue Aug 23 23:26:59 2022 ] Training epoch: 54
+[ Tue Aug 23 23:27:22 2022 ] 	Training loss: 1.3833.  Training acc: 83.50%.
+[ Tue Aug 23 23:27:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:27:22 2022 ] Eval epoch: 54
+[ Tue Aug 23 23:28:09 2022 ] 	Mean test loss of 156 batches: 2.545065.
+[ Tue Aug 23 23:28:09 2022 ] 	Top1: 47.80%
+[ Tue Aug 23 23:28:10 2022 ] 	Top5: 79.70%
+[ Tue Aug 23 23:28:10 2022 ] Training epoch: 55
+[ Tue Aug 23 23:28:35 2022 ] 	Training loss: 1.3463.  Training acc: 85.21%.
+[ Tue Aug 23 23:28:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:28:35 2022 ] Eval epoch: 55
+[ Tue Aug 23 23:29:22 2022 ] 	Mean test loss of 156 batches: 2.455156.
+[ Tue Aug 23 23:29:23 2022 ] 	Top1: 50.30%
+[ Tue Aug 23 23:29:23 2022 ] 	Top5: 81.68%
+[ Tue Aug 23 23:29:24 2022 ] Training epoch: 56
+[ Tue Aug 23 23:29:48 2022 ] 	Training loss: 1.3455.  Training acc: 85.02%.
+[ Tue Aug 23 23:29:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:29:48 2022 ] Eval epoch: 56
+[ Tue Aug 23 23:30:36 2022 ] 	Mean test loss of 156 batches: 2.354155.
+[ Tue Aug 23 23:30:37 2022 ] 	Top1: 52.47%
+[ Tue Aug 23 23:30:37 2022 ] 	Top5: 83.19%
+[ Tue Aug 23 23:30:38 2022 ] Training epoch: 57
+[ Tue Aug 23 23:31:01 2022 ] 	Training loss: 1.3194.  Training acc: 86.34%.
+[ Tue Aug 23 23:31:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:31:01 2022 ] Eval epoch: 57
+[ Tue Aug 23 23:31:48 2022 ] 	Mean test loss of 156 batches: 2.527983.
+[ Tue Aug 23 23:31:48 2022 ] 	Top1: 48.90%
+[ Tue Aug 23 23:31:49 2022 ] 	Top5: 79.62%
+[ Tue Aug 23 23:31:49 2022 ] Training epoch: 58
+[ Tue Aug 23 23:32:13 2022 ] 	Training loss: 1.3206.  Training acc: 86.21%.
+[ Tue Aug 23 23:32:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:32:13 2022 ] Eval epoch: 58
+[ Tue Aug 23 23:33:02 2022 ] 	Mean test loss of 156 batches: 2.459584.
+[ Tue Aug 23 23:33:02 2022 ] 	Top1: 50.48%
+[ Tue Aug 23 23:33:03 2022 ] 	Top5: 80.40%
+[ Tue Aug 23 23:33:03 2022 ] Training epoch: 59
+[ Tue Aug 23 23:33:27 2022 ] 	Training loss: 1.3129.  Training acc: 86.54%.
+[ Tue Aug 23 23:33:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:33:27 2022 ] Eval epoch: 59
+[ Tue Aug 23 23:34:15 2022 ] 	Mean test loss of 156 batches: 2.463080.
+[ Tue Aug 23 23:34:15 2022 ] 	Top1: 51.27%
+[ Tue Aug 23 23:34:16 2022 ] 	Top5: 81.23%
+[ Tue Aug 23 23:34:16 2022 ] Training epoch: 60
+[ Tue Aug 23 23:34:40 2022 ] 	Training loss: 1.2917.  Training acc: 87.06%.
+[ Tue Aug 23 23:34:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:34:40 2022 ] Eval epoch: 60
+[ Tue Aug 23 23:35:27 2022 ] 	Mean test loss of 156 batches: 2.654294.
+[ Tue Aug 23 23:35:27 2022 ] 	Top1: 45.28%
+[ Tue Aug 23 23:35:28 2022 ] 	Top5: 76.68%
+[ Tue Aug 23 23:35:28 2022 ] Training epoch: 61
+[ Tue Aug 23 23:35:52 2022 ] 	Training loss: 1.2720.  Training acc: 88.01%.
+[ Tue Aug 23 23:35:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:35:52 2022 ] Eval epoch: 61
+[ Tue Aug 23 23:36:38 2022 ] 	Mean test loss of 156 batches: 2.465815.
+[ Tue Aug 23 23:36:39 2022 ] 	Top1: 50.54%
+[ Tue Aug 23 23:36:39 2022 ] 	Top5: 82.70%
+[ Tue Aug 23 23:36:40 2022 ] Training epoch: 62
+[ Tue Aug 23 23:37:04 2022 ] 	Training loss: 1.2751.  Training acc: 87.90%.
+[ Tue Aug 23 23:37:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:37:04 2022 ] Eval epoch: 62
+[ Tue Aug 23 23:37:51 2022 ] 	Mean test loss of 156 batches: 2.444657.
+[ Tue Aug 23 23:37:51 2022 ] 	Top1: 50.38%
+[ Tue Aug 23 23:37:52 2022 ] 	Top5: 83.03%
+[ Tue Aug 23 23:37:52 2022 ] Training epoch: 63
+[ Tue Aug 23 23:38:16 2022 ] 	Training loss: 1.2639.  Training acc: 88.44%.
+[ Tue Aug 23 23:38:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:38:16 2022 ] Eval epoch: 63
+[ Tue Aug 23 23:39:01 2022 ] 	Mean test loss of 156 batches: 2.577697.
+[ Tue Aug 23 23:39:01 2022 ] 	Top1: 47.97%
+[ Tue Aug 23 23:39:02 2022 ] 	Top5: 78.87%
+[ Tue Aug 23 23:39:02 2022 ] Training epoch: 64
+[ Tue Aug 23 23:39:26 2022 ] 	Training loss: 1.2575.  Training acc: 88.39%.
+[ Tue Aug 23 23:39:26 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:39:26 2022 ] Eval epoch: 64
+[ Tue Aug 23 23:40:12 2022 ] 	Mean test loss of 156 batches: 2.399720.
+[ Tue Aug 23 23:40:13 2022 ] 	Top1: 52.59%
+[ Tue Aug 23 23:40:13 2022 ] 	Top5: 82.40%
+[ Tue Aug 23 23:40:14 2022 ] Training epoch: 65
+[ Tue Aug 23 23:40:38 2022 ] 	Training loss: 1.2476.  Training acc: 89.07%.
+[ Tue Aug 23 23:40:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:40:38 2022 ] Eval epoch: 65
+[ Tue Aug 23 23:41:24 2022 ] 	Mean test loss of 156 batches: 2.475548.
+[ Tue Aug 23 23:41:25 2022 ] 	Top1: 50.19%
+[ Tue Aug 23 23:41:25 2022 ] 	Top5: 81.38%
+[ Tue Aug 23 23:41:26 2022 ] Training epoch: 66
+[ Tue Aug 23 23:41:50 2022 ] 	Training loss: 1.2307.  Training acc: 89.75%.
+[ Tue Aug 23 23:41:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:41:50 2022 ] Eval epoch: 66
+[ Tue Aug 23 23:42:37 2022 ] 	Mean test loss of 156 batches: 2.446097.
+[ Tue Aug 23 23:42:38 2022 ] 	Top1: 50.51%
+[ Tue Aug 23 23:42:38 2022 ] 	Top5: 81.22%
+[ Tue Aug 23 23:42:39 2022 ] Training epoch: 67
+[ Tue Aug 23 23:43:02 2022 ] 	Training loss: 1.2280.  Training acc: 89.97%.
+[ Tue Aug 23 23:43:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:43:03 2022 ] Eval epoch: 67
+[ Tue Aug 23 23:43:52 2022 ] 	Mean test loss of 156 batches: 2.559622.
+[ Tue Aug 23 23:43:53 2022 ] 	Top1: 47.16%
+[ Tue Aug 23 23:43:53 2022 ] 	Top5: 78.77%
+[ Tue Aug 23 23:43:54 2022 ] Training epoch: 68
+[ Tue Aug 23 23:44:17 2022 ] 	Training loss: 1.2161.  Training acc: 90.21%.
+[ Tue Aug 23 23:44:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:44:17 2022 ] Eval epoch: 68
+[ Tue Aug 23 23:45:06 2022 ] 	Mean test loss of 156 batches: 2.484023.
+[ Tue Aug 23 23:45:06 2022 ] 	Top1: 49.87%
+[ Tue Aug 23 23:45:07 2022 ] 	Top5: 80.94%
+[ Tue Aug 23 23:45:07 2022 ] Training epoch: 69
+[ Tue Aug 23 23:45:31 2022 ] 	Training loss: 1.2049.  Training acc: 90.41%.
+[ Tue Aug 23 23:45:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:45:31 2022 ] Eval epoch: 69
+[ Tue Aug 23 23:46:24 2022 ] 	Mean test loss of 156 batches: 2.506619.
+[ Tue Aug 23 23:46:24 2022 ] 	Top1: 49.40%
+[ Tue Aug 23 23:46:25 2022 ] 	Top5: 80.46%
+[ Tue Aug 23 23:46:25 2022 ] Training epoch: 70
+[ Tue Aug 23 23:46:49 2022 ] 	Training loss: 1.1975.  Training acc: 90.63%.
+[ Tue Aug 23 23:46:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:46:49 2022 ] Eval epoch: 70
+[ Tue Aug 23 23:47:38 2022 ] 	Mean test loss of 156 batches: 2.577139.
+[ Tue Aug 23 23:47:39 2022 ] 	Top1: 47.29%
+[ Tue Aug 23 23:47:39 2022 ] 	Top5: 79.94%
+[ Tue Aug 23 23:47:40 2022 ] Training epoch: 71
+[ Tue Aug 23 23:48:04 2022 ] 	Training loss: 1.1944.  Training acc: 90.76%.
+[ Tue Aug 23 23:48:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:48:04 2022 ] Eval epoch: 71
+[ Tue Aug 23 23:48:51 2022 ] 	Mean test loss of 156 batches: 2.429680.
+[ Tue Aug 23 23:48:52 2022 ] 	Top1: 51.60%
+[ Tue Aug 23 23:48:52 2022 ] 	Top5: 82.52%
+[ Tue Aug 23 23:48:53 2022 ] Training epoch: 72
+[ Tue Aug 23 23:49:17 2022 ] 	Training loss: 1.1855.  Training acc: 91.32%.
+[ Tue Aug 23 23:49:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:49:17 2022 ] Eval epoch: 72
+[ Tue Aug 23 23:50:03 2022 ] 	Mean test loss of 156 batches: 2.465084.
+[ Tue Aug 23 23:50:04 2022 ] 	Top1: 51.11%
+[ Tue Aug 23 23:50:04 2022 ] 	Top5: 81.56%
+[ Tue Aug 23 23:50:05 2022 ] Training epoch: 73
+[ Tue Aug 23 23:50:29 2022 ] 	Training loss: 1.1805.  Training acc: 91.56%.
+[ Tue Aug 23 23:50:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:50:29 2022 ] Eval epoch: 73
+[ Tue Aug 23 23:51:16 2022 ] 	Mean test loss of 156 batches: 2.495356.
+[ Tue Aug 23 23:51:17 2022 ] 	Top1: 51.48%
+[ Tue Aug 23 23:51:17 2022 ] 	Top5: 81.63%
+[ Tue Aug 23 23:51:18 2022 ] Training epoch: 74
+[ Tue Aug 23 23:51:42 2022 ] 	Training loss: 1.1681.  Training acc: 91.77%.
+[ Tue Aug 23 23:51:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:51:42 2022 ] Eval epoch: 74
+[ Tue Aug 23 23:52:29 2022 ] 	Mean test loss of 156 batches: 2.435013.
+[ Tue Aug 23 23:52:30 2022 ] 	Top1: 52.41%
+[ Tue Aug 23 23:52:30 2022 ] 	Top5: 81.77%
+[ Tue Aug 23 23:52:31 2022 ] Training epoch: 75
+[ Tue Aug 23 23:52:55 2022 ] 	Training loss: 1.1711.  Training acc: 91.81%.
+[ Tue Aug 23 23:52:55 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:52:55 2022 ] Eval epoch: 75
+[ Tue Aug 23 23:53:40 2022 ] 	Mean test loss of 156 batches: 2.622570.
+[ Tue Aug 23 23:53:40 2022 ] 	Top1: 46.39%
+[ Tue Aug 23 23:53:41 2022 ] 	Top5: 78.32%
+[ Tue Aug 23 23:53:41 2022 ] Training epoch: 76
+[ Tue Aug 23 23:54:06 2022 ] 	Training loss: 1.1592.  Training acc: 91.83%.
+[ Tue Aug 23 23:54:06 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:54:06 2022 ] Eval epoch: 76
+[ Tue Aug 23 23:54:53 2022 ] 	Mean test loss of 156 batches: 2.397094.
+[ Tue Aug 23 23:54:54 2022 ] 	Top1: 53.41%
+[ Tue Aug 23 23:54:54 2022 ] 	Top5: 82.90%
+[ Tue Aug 23 23:54:55 2022 ] Training epoch: 77
+[ Tue Aug 23 23:55:19 2022 ] 	Training loss: 1.1513.  Training acc: 92.30%.
+[ Tue Aug 23 23:55:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:55:19 2022 ] Eval epoch: 77
+[ Tue Aug 23 23:56:06 2022 ] 	Mean test loss of 156 batches: 2.413280.
+[ Tue Aug 23 23:56:06 2022 ] 	Top1: 52.19%
+[ Tue Aug 23 23:56:07 2022 ] 	Top5: 82.32%
+[ Tue Aug 23 23:56:07 2022 ] Training epoch: 78
+[ Tue Aug 23 23:56:31 2022 ] 	Training loss: 1.1475.  Training acc: 92.54%.
+[ Tue Aug 23 23:56:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:56:31 2022 ] Eval epoch: 78
+[ Tue Aug 23 23:57:18 2022 ] 	Mean test loss of 156 batches: 2.490140.
+[ Tue Aug 23 23:57:19 2022 ] 	Top1: 51.74%
+[ Tue Aug 23 23:57:19 2022 ] 	Top5: 81.92%
+[ Tue Aug 23 23:57:20 2022 ] Training epoch: 79
+[ Tue Aug 23 23:57:44 2022 ] 	Training loss: 1.1451.  Training acc: 92.51%.
+[ Tue Aug 23 23:57:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:57:44 2022 ] Eval epoch: 79
+[ Tue Aug 23 23:58:31 2022 ] 	Mean test loss of 156 batches: 2.663360.
+[ Tue Aug 23 23:58:32 2022 ] 	Top1: 47.78%
+[ Tue Aug 23 23:58:32 2022 ] 	Top5: 79.17%
+[ Tue Aug 23 23:58:33 2022 ] Training epoch: 80
+[ Tue Aug 23 23:58:57 2022 ] 	Training loss: 1.1509.  Training acc: 92.24%.
+[ Tue Aug 23 23:58:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 23:58:57 2022 ] Eval epoch: 80
+[ Tue Aug 23 23:59:45 2022 ] 	Mean test loss of 156 batches: 2.552460.
+[ Tue Aug 23 23:59:46 2022 ] 	Top1: 49.34%
+[ Tue Aug 23 23:59:46 2022 ] 	Top5: 78.49%
+[ Tue Aug 23 23:59:47 2022 ] Training epoch: 81
+[ Wed Aug 24 00:00:10 2022 ] 	Training loss: 1.1307.  Training acc: 92.96%.
+[ Wed Aug 24 00:00:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:00:10 2022 ] Eval epoch: 81
+[ Wed Aug 24 00:01:05 2022 ] 	Mean test loss of 156 batches: 2.520498.
+[ Wed Aug 24 00:01:06 2022 ] 	Top1: 51.40%
+[ Wed Aug 24 00:01:06 2022 ] 	Top5: 80.06%
+[ Wed Aug 24 00:01:07 2022 ] Training epoch: 82
+[ Wed Aug 24 00:01:31 2022 ] 	Training loss: 1.1271.  Training acc: 93.31%.
+[ Wed Aug 24 00:01:31 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 00:01:31 2022 ] Eval epoch: 82
+[ Wed Aug 24 00:02:22 2022 ] 	Mean test loss of 156 batches: 2.681925.
+[ Wed Aug 24 00:02:22 2022 ] 	Top1: 46.56%
+[ Wed Aug 24 00:02:23 2022 ] 	Top5: 77.65%
+[ Wed Aug 24 00:02:23 2022 ] Training epoch: 83
+[ Wed Aug 24 00:02:48 2022 ] 	Training loss: 1.1316.  Training acc: 92.87%.
+[ Wed Aug 24 00:02:48 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 00:02:48 2022 ] Eval epoch: 83
+[ Wed Aug 24 00:03:33 2022 ] 	Mean test loss of 156 batches: 2.410519.
+[ Wed Aug 24 00:03:33 2022 ] 	Top1: 53.25%
+[ Wed Aug 24 00:03:34 2022 ] 	Top5: 82.37%
+[ Wed Aug 24 00:03:34 2022 ] Training epoch: 84
+[ Wed Aug 24 00:03:59 2022 ] 	Training loss: 1.1269.  Training acc: 93.18%.
+[ Wed Aug 24 00:03:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:03:59 2022 ] Eval epoch: 84
+[ Wed Aug 24 00:04:43 2022 ] 	Mean test loss of 156 batches: 2.489756.
+[ Wed Aug 24 00:04:44 2022 ] 	Top1: 50.92%
+[ Wed Aug 24 00:04:44 2022 ] 	Top5: 81.17%
+[ Wed Aug 24 00:04:45 2022 ] Training epoch: 85
+[ Wed Aug 24 00:05:10 2022 ] 	Training loss: 1.1168.  Training acc: 93.43%.
+[ Wed Aug 24 00:05:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:05:10 2022 ] Eval epoch: 85
+[ Wed Aug 24 00:05:57 2022 ] 	Mean test loss of 156 batches: 2.559974.
+[ Wed Aug 24 00:05:57 2022 ] 	Top1: 48.85%
+[ Wed Aug 24 00:05:58 2022 ] 	Top5: 79.68%
+[ Wed Aug 24 00:05:58 2022 ] Training epoch: 86
+[ Wed Aug 24 00:06:23 2022 ] 	Training loss: 1.1031.  Training acc: 93.96%.
+[ Wed Aug 24 00:06:23 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:06:23 2022 ] Eval epoch: 86
+[ Wed Aug 24 00:07:10 2022 ] 	Mean test loss of 156 batches: 2.578165.
+[ Wed Aug 24 00:07:10 2022 ] 	Top1: 49.11%
+[ Wed Aug 24 00:07:11 2022 ] 	Top5: 78.45%
+[ Wed Aug 24 00:07:11 2022 ] Training epoch: 87
+[ Wed Aug 24 00:07:36 2022 ] 	Training loss: 1.0956.  Training acc: 94.28%.
+[ Wed Aug 24 00:07:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:07:36 2022 ] Eval epoch: 87
+[ Wed Aug 24 00:08:21 2022 ] 	Mean test loss of 156 batches: 2.407031.
+[ Wed Aug 24 00:08:21 2022 ] 	Top1: 52.14%
+[ Wed Aug 24 00:08:22 2022 ] 	Top5: 82.39%
+[ Wed Aug 24 00:08:22 2022 ] Training epoch: 88
+[ Wed Aug 24 00:08:47 2022 ] 	Training loss: 1.1081.  Training acc: 93.58%.
+[ Wed Aug 24 00:08:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:08:47 2022 ] Eval epoch: 88
+[ Wed Aug 24 00:09:33 2022 ] 	Mean test loss of 156 batches: 2.624454.
+[ Wed Aug 24 00:09:34 2022 ] 	Top1: 47.95%
+[ Wed Aug 24 00:09:34 2022 ] 	Top5: 78.31%
+[ Wed Aug 24 00:09:35 2022 ] Training epoch: 89
+[ Wed Aug 24 00:09:59 2022 ] 	Training loss: 1.0924.  Training acc: 94.35%.
+[ Wed Aug 24 00:09:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:09:59 2022 ] Eval epoch: 89
+[ Wed Aug 24 00:10:47 2022 ] 	Mean test loss of 156 batches: 2.366986.
+[ Wed Aug 24 00:10:47 2022 ] 	Top1: 54.18%
+[ Wed Aug 24 00:10:48 2022 ] 	Top5: 82.80%
+[ Wed Aug 24 00:10:48 2022 ] Training epoch: 90
+[ Wed Aug 24 00:11:13 2022 ] 	Training loss: 1.0913.  Training acc: 94.18%.
+[ Wed Aug 24 00:11:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:11:13 2022 ] Eval epoch: 90
+[ Wed Aug 24 00:12:00 2022 ] 	Mean test loss of 156 batches: 2.381195.
+[ Wed Aug 24 00:12:01 2022 ] 	Top1: 54.35%
+[ Wed Aug 24 00:12:01 2022 ] 	Top5: 83.40%
+[ Wed Aug 24 00:12:02 2022 ] Training epoch: 91
+[ Wed Aug 24 00:12:27 2022 ] 	Training loss: 1.0064.  Training acc: 97.45%.
+[ Wed Aug 24 00:12:27 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 00:12:27 2022 ] Eval epoch: 91
+[ Wed Aug 24 00:13:15 2022 ] 	Mean test loss of 156 batches: 2.141834.
+[ Wed Aug 24 00:13:15 2022 ] 	Top1: 59.76%
+[ Wed Aug 24 00:13:16 2022 ] 	Top5: 86.56%
+[ Wed Aug 24 00:13:17 2022 ] Training epoch: 92
+[ Wed Aug 24 00:13:41 2022 ] 	Training loss: 0.9640.  Training acc: 98.74%.
+[ Wed Aug 24 00:13:41 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 00:13:41 2022 ] Eval epoch: 92
+[ Wed Aug 24 00:14:27 2022 ] 	Mean test loss of 156 batches: 2.125894.
+[ Wed Aug 24 00:14:28 2022 ] 	Top1: 60.45%
+[ Wed Aug 24 00:14:28 2022 ] 	Top5: 86.87%
+[ Wed Aug 24 00:14:29 2022 ] Training epoch: 93
+[ Wed Aug 24 00:14:53 2022 ] 	Training loss: 0.9517.  Training acc: 98.96%.
+[ Wed Aug 24 00:14:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:14:53 2022 ] Eval epoch: 93
+[ Wed Aug 24 00:15:41 2022 ] 	Mean test loss of 156 batches: 2.142005.
+[ Wed Aug 24 00:15:42 2022 ] 	Top1: 59.93%
+[ Wed Aug 24 00:15:42 2022 ] 	Top5: 86.33%
+[ Wed Aug 24 00:15:43 2022 ] Training epoch: 94
+[ Wed Aug 24 00:16:07 2022 ] 	Training loss: 0.9467.  Training acc: 99.01%.
+[ Wed Aug 24 00:16:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:16:07 2022 ] Eval epoch: 94
+[ Wed Aug 24 00:16:54 2022 ] 	Mean test loss of 156 batches: 2.126151.
+[ Wed Aug 24 00:16:54 2022 ] 	Top1: 60.25%
+[ Wed Aug 24 00:16:55 2022 ] 	Top5: 86.78%
+[ Wed Aug 24 00:16:56 2022 ] Training epoch: 95
+[ Wed Aug 24 00:17:20 2022 ] 	Training loss: 0.9386.  Training acc: 99.27%.
+[ Wed Aug 24 00:17:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:17:20 2022 ] Eval epoch: 95
+[ Wed Aug 24 00:18:08 2022 ] 	Mean test loss of 156 batches: 2.138388.
+[ Wed Aug 24 00:18:08 2022 ] 	Top1: 60.11%
+[ Wed Aug 24 00:18:09 2022 ] 	Top5: 86.49%
+[ Wed Aug 24 00:18:09 2022 ] Training epoch: 96
+[ Wed Aug 24 00:18:34 2022 ] 	Training loss: 0.9354.  Training acc: 99.26%.
+[ Wed Aug 24 00:18:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:18:34 2022 ] Eval epoch: 96
+[ Wed Aug 24 00:19:20 2022 ] 	Mean test loss of 156 batches: 2.134806.
+[ Wed Aug 24 00:19:20 2022 ] 	Top1: 59.97%
+[ Wed Aug 24 00:19:21 2022 ] 	Top5: 86.60%
+[ Wed Aug 24 00:19:21 2022 ] Training epoch: 97
+[ Wed Aug 24 00:19:46 2022 ] 	Training loss: 0.9310.  Training acc: 99.45%.
+[ Wed Aug 24 00:19:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:19:46 2022 ] Eval epoch: 97
+[ Wed Aug 24 00:20:33 2022 ] 	Mean test loss of 156 batches: 2.127420.
+[ Wed Aug 24 00:20:34 2022 ] 	Top1: 60.51%
+[ Wed Aug 24 00:20:34 2022 ] 	Top5: 86.61%
+[ Wed Aug 24 00:20:35 2022 ] Training epoch: 98
+[ Wed Aug 24 00:21:00 2022 ] 	Training loss: 0.9301.  Training acc: 99.40%.
+[ Wed Aug 24 00:21:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:21:00 2022 ] Eval epoch: 98
+[ Wed Aug 24 00:21:47 2022 ] 	Mean test loss of 156 batches: 2.120423.
+[ Wed Aug 24 00:21:47 2022 ] 	Top1: 60.65%
+[ Wed Aug 24 00:21:48 2022 ] 	Top5: 86.78%
+[ Wed Aug 24 00:21:49 2022 ] Training epoch: 99
+[ Wed Aug 24 00:22:14 2022 ] 	Training loss: 0.9275.  Training acc: 99.38%.
+[ Wed Aug 24 00:22:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:22:14 2022 ] Eval epoch: 99
+[ Wed Aug 24 00:23:00 2022 ] 	Mean test loss of 156 batches: 2.144990.
+[ Wed Aug 24 00:23:00 2022 ] 	Top1: 59.94%
+[ Wed Aug 24 00:23:01 2022 ] 	Top5: 86.30%
+[ Wed Aug 24 00:23:01 2022 ] Training epoch: 100
+[ Wed Aug 24 00:23:26 2022 ] 	Training loss: 0.9210.  Training acc: 99.53%.
+[ Wed Aug 24 00:23:26 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:23:26 2022 ] Eval epoch: 100
+[ Wed Aug 24 00:24:12 2022 ] 	Mean test loss of 156 batches: 2.122861.
+[ Wed Aug 24 00:24:13 2022 ] 	Top1: 60.58%
+[ Wed Aug 24 00:24:13 2022 ] 	Top5: 86.70%
+[ Wed Aug 24 00:24:14 2022 ] Training epoch: 101
+[ Wed Aug 24 00:24:39 2022 ] 	Training loss: 0.9205.  Training acc: 99.52%.
+[ Wed Aug 24 00:24:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:24:39 2022 ] Eval epoch: 101
+[ Wed Aug 24 00:25:26 2022 ] 	Mean test loss of 156 batches: 2.116590.
+[ Wed Aug 24 00:25:26 2022 ] 	Top1: 60.76%
+[ Wed Aug 24 00:25:27 2022 ] 	Top5: 86.77%
+[ Wed Aug 24 00:25:27 2022 ] Training epoch: 102
+[ Wed Aug 24 00:25:52 2022 ] 	Training loss: 0.9200.  Training acc: 99.43%.
+[ Wed Aug 24 00:25:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:25:52 2022 ] Eval epoch: 102
+[ Wed Aug 24 00:26:40 2022 ] 	Mean test loss of 156 batches: 2.127054.
+[ Wed Aug 24 00:26:40 2022 ] 	Top1: 60.51%
+[ Wed Aug 24 00:26:41 2022 ] 	Top5: 86.55%
+[ Wed Aug 24 00:26:41 2022 ] Training epoch: 103
+[ Wed Aug 24 00:27:05 2022 ] 	Training loss: 0.9205.  Training acc: 99.51%.
+[ Wed Aug 24 00:27:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:27:05 2022 ] Eval epoch: 103
+[ Wed Aug 24 00:27:53 2022 ] 	Mean test loss of 156 batches: 2.122714.
+[ Wed Aug 24 00:27:53 2022 ] 	Top1: 60.59%
+[ Wed Aug 24 00:27:54 2022 ] 	Top5: 86.72%
+[ Wed Aug 24 00:27:54 2022 ] Training epoch: 104
+[ Wed Aug 24 00:28:19 2022 ] 	Training loss: 0.9194.  Training acc: 99.56%.
+[ Wed Aug 24 00:28:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:28:19 2022 ] Eval epoch: 104
+[ Wed Aug 24 00:29:06 2022 ] 	Mean test loss of 156 batches: 2.123843.
+[ Wed Aug 24 00:29:06 2022 ] 	Top1: 60.59%
+[ Wed Aug 24 00:29:07 2022 ] 	Top5: 86.58%
+[ Wed Aug 24 00:29:07 2022 ] Training epoch: 105
+[ Wed Aug 24 00:29:32 2022 ] 	Training loss: 0.9201.  Training acc: 99.56%.
+[ Wed Aug 24 00:29:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:29:32 2022 ] Eval epoch: 105
+[ Wed Aug 24 00:30:22 2022 ] 	Mean test loss of 156 batches: 2.142699.
+[ Wed Aug 24 00:30:22 2022 ] 	Top1: 60.03%
+[ Wed Aug 24 00:30:23 2022 ] 	Top5: 86.33%
+[ Wed Aug 24 00:30:23 2022 ] Training epoch: 106
+[ Wed Aug 24 00:30:47 2022 ] 	Training loss: 0.9185.  Training acc: 99.61%.
+[ Wed Aug 24 00:30:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:30:47 2022 ] Eval epoch: 106
+[ Wed Aug 24 00:31:36 2022 ] 	Mean test loss of 156 batches: 2.131600.
+[ Wed Aug 24 00:31:37 2022 ] 	Top1: 60.29%
+[ Wed Aug 24 00:31:37 2022 ] 	Top5: 86.53%
+[ Wed Aug 24 00:31:38 2022 ] Training epoch: 107
+[ Wed Aug 24 00:32:02 2022 ] 	Training loss: 0.9179.  Training acc: 99.62%.
+[ Wed Aug 24 00:32:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:32:02 2022 ] Eval epoch: 107
+[ Wed Aug 24 00:32:51 2022 ] 	Mean test loss of 156 batches: 2.122764.
+[ Wed Aug 24 00:32:52 2022 ] 	Top1: 60.55%
+[ Wed Aug 24 00:32:52 2022 ] 	Top5: 86.71%
+[ Wed Aug 24 00:32:53 2022 ] Training epoch: 108
+[ Wed Aug 24 00:33:17 2022 ] 	Training loss: 0.9193.  Training acc: 99.52%.
+[ Wed Aug 24 00:33:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:33:17 2022 ] Eval epoch: 108
+[ Wed Aug 24 00:34:05 2022 ] 	Mean test loss of 156 batches: 2.133081.
+[ Wed Aug 24 00:34:06 2022 ] 	Top1: 60.32%
+[ Wed Aug 24 00:34:06 2022 ] 	Top5: 86.43%
+[ Wed Aug 24 00:34:07 2022 ] Training epoch: 109
+[ Wed Aug 24 00:34:31 2022 ] 	Training loss: 0.9167.  Training acc: 99.60%.
+[ Wed Aug 24 00:34:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:34:31 2022 ] Eval epoch: 109
+[ Wed Aug 24 00:35:19 2022 ] 	Mean test loss of 156 batches: 2.132630.
+[ Wed Aug 24 00:35:20 2022 ] 	Top1: 60.27%
+[ Wed Aug 24 00:35:20 2022 ] 	Top5: 86.47%
+[ Wed Aug 24 00:35:21 2022 ] Training epoch: 110
+[ Wed Aug 24 00:35:46 2022 ] 	Training loss: 0.9157.  Training acc: 99.70%.
+[ Wed Aug 24 00:35:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 00:35:46 2022 ] Eval epoch: 110
+[ Wed Aug 24 00:36:34 2022 ] 	Mean test loss of 156 batches: 2.115916.
+[ Wed Aug 24 00:36:35 2022 ] 	Top1: 60.78%
+[ Wed Aug 24 00:36:35 2022 ] 	Top5: 86.76%

ckpt/Others/InfoGCN/ntu_120_xset_LT/bm/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f911342fddc52ef542b67a44f54abc450545977b17ddf3d9edd5645d911c8ef3
+size 31278306

ckpt/Others/InfoGCN/ntu_120_xset_LT/bm/log.txt

@@ -0,0 +1,775 @@
+[ Tue Aug 23 22:23:52 2022 ] using warm up, epoch: 5
+[ Tue Aug 23 22:24:32 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 120, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu120/NTU120_CSet_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': True, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_120_xset_LT/bm', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 1, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 256, 'test_batch_size': 256, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Tue Aug 23 22:24:32 2022 ] # Parameters: 1572227
+[ Tue Aug 23 22:24:32 2022 ] Training epoch: 1
+[ Tue Aug 23 22:25:01 2022 ] 	Training loss: 6.9199.  Training acc: 3.69%.
+[ Tue Aug 23 22:25:01 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:25:01 2022 ] Eval epoch: 1
+[ Tue Aug 23 22:25:48 2022 ] 	Mean test loss of 156 batches: 5.612469.
+[ Tue Aug 23 22:25:49 2022 ] 	Top1: 0.95%
+[ Tue Aug 23 22:25:49 2022 ] 	Top5: 4.21%
+[ Tue Aug 23 22:25:50 2022 ] Training epoch: 2
+[ Tue Aug 23 22:26:14 2022 ] 	Training loss: 4.5402.  Training acc: 6.64%.
+[ Tue Aug 23 22:26:14 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:26:14 2022 ] Eval epoch: 2
+[ Tue Aug 23 22:27:00 2022 ] 	Mean test loss of 156 batches: 5.418138.
+[ Tue Aug 23 22:27:01 2022 ] 	Top1: 1.45%
+[ Tue Aug 23 22:27:02 2022 ] 	Top5: 7.14%
+[ Tue Aug 23 22:27:03 2022 ] Training epoch: 3
+[ Tue Aug 23 22:27:27 2022 ] 	Training loss: 4.0176.  Training acc: 9.95%.
+[ Tue Aug 23 22:27:27 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Tue Aug 23 22:27:27 2022 ] Eval epoch: 3
+[ Tue Aug 23 22:28:14 2022 ] 	Mean test loss of 156 batches: 5.060855.
+[ Tue Aug 23 22:28:14 2022 ] 	Top1: 2.18%
+[ Tue Aug 23 22:28:15 2022 ] 	Top5: 9.07%
+[ Tue Aug 23 22:28:16 2022 ] Training epoch: 4
+[ Tue Aug 23 22:28:40 2022 ] 	Training loss: 3.8786.  Training acc: 12.71%.
+[ Tue Aug 23 22:28:40 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:28:40 2022 ] Eval epoch: 4
+[ Tue Aug 23 22:29:28 2022 ] 	Mean test loss of 156 batches: 4.935032.
+[ Tue Aug 23 22:29:28 2022 ] 	Top1: 2.67%
+[ Tue Aug 23 22:29:29 2022 ] 	Top5: 11.82%
+[ Tue Aug 23 22:29:30 2022 ] Training epoch: 5
+[ Tue Aug 23 22:29:55 2022 ] 	Training loss: 3.6187.  Training acc: 18.35%.
+[ Tue Aug 23 22:29:55 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:29:55 2022 ] Eval epoch: 5
+[ Tue Aug 23 22:30:42 2022 ] 	Mean test loss of 156 batches: 5.324654.
+[ Tue Aug 23 22:30:43 2022 ] 	Top1: 2.55%
+[ Tue Aug 23 22:30:43 2022 ] 	Top5: 11.16%
+[ Tue Aug 23 22:30:44 2022 ] Training epoch: 6
+[ Tue Aug 23 22:31:10 2022 ] 	Training loss: 3.2363.  Training acc: 25.61%.
+[ Tue Aug 23 22:31:10 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:31:10 2022 ] Eval epoch: 6
+[ Tue Aug 23 22:31:56 2022 ] 	Mean test loss of 156 batches: 8.581145.
+[ Tue Aug 23 22:31:57 2022 ] 	Top1: 1.71%
+[ Tue Aug 23 22:31:57 2022 ] 	Top5: 5.21%
+[ Tue Aug 23 22:31:58 2022 ] Training epoch: 7
+[ Tue Aug 23 22:32:22 2022 ] 	Training loss: 3.0735.  Training acc: 30.38%.
+[ Tue Aug 23 22:32:22 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:32:22 2022 ] Eval epoch: 7
+[ Tue Aug 23 22:33:08 2022 ] 	Mean test loss of 156 batches: 8.109977.
+[ Tue Aug 23 22:33:09 2022 ] 	Top1: 1.66%
+[ Tue Aug 23 22:33:10 2022 ] 	Top5: 8.44%
+[ Tue Aug 23 22:33:10 2022 ] Training epoch: 8
+[ Tue Aug 23 22:33:35 2022 ] 	Training loss: 2.8873.  Training acc: 35.81%.
+[ Tue Aug 23 22:33:35 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:33:35 2022 ] Eval epoch: 8
+[ Tue Aug 23 22:34:23 2022 ] 	Mean test loss of 156 batches: 6.385068.
+[ Tue Aug 23 22:34:24 2022 ] 	Top1: 2.05%
+[ Tue Aug 23 22:34:24 2022 ] 	Top5: 9.27%
+[ Tue Aug 23 22:34:25 2022 ] Training epoch: 9
+[ Tue Aug 23 22:34:49 2022 ] 	Training loss: 2.7709.  Training acc: 38.54%.
+[ Tue Aug 23 22:34:49 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:34:49 2022 ] Eval epoch: 9
+[ Tue Aug 23 22:35:36 2022 ] 	Mean test loss of 156 batches: 5.723161.
+[ Tue Aug 23 22:35:36 2022 ] 	Top1: 3.05%
+[ Tue Aug 23 22:35:37 2022 ] 	Top5: 10.93%
+[ Tue Aug 23 22:35:38 2022 ] Training epoch: 10
+[ Tue Aug 23 22:36:02 2022 ] 	Training loss: 2.6656.  Training acc: 42.22%.
+[ Tue Aug 23 22:36:02 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:36:02 2022 ] Eval epoch: 10
+[ Tue Aug 23 22:36:50 2022 ] 	Mean test loss of 156 batches: 6.184519.
+[ Tue Aug 23 22:36:51 2022 ] 	Top1: 3.31%
+[ Tue Aug 23 22:36:51 2022 ] 	Top5: 11.35%
+[ Tue Aug 23 22:36:52 2022 ] Training epoch: 11
+[ Tue Aug 23 22:37:16 2022 ] 	Training loss: 2.5878.  Training acc: 44.22%.
+[ Tue Aug 23 22:37:16 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:37:16 2022 ] Eval epoch: 11
+[ Tue Aug 23 22:38:01 2022 ] 	Mean test loss of 156 batches: 7.140429.
+[ Tue Aug 23 22:38:02 2022 ] 	Top1: 2.24%
+[ Tue Aug 23 22:38:02 2022 ] 	Top5: 9.14%
+[ Tue Aug 23 22:38:03 2022 ] Training epoch: 12
+[ Tue Aug 23 22:38:27 2022 ] 	Training loss: 2.4847.  Training acc: 47.87%.
+[ Tue Aug 23 22:38:27 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:38:27 2022 ] Eval epoch: 12
+[ Tue Aug 23 22:39:15 2022 ] 	Mean test loss of 156 batches: 8.161475.
+[ Tue Aug 23 22:39:15 2022 ] 	Top1: 1.85%
+[ Tue Aug 23 22:39:16 2022 ] 	Top5: 10.44%
+[ Tue Aug 23 22:39:16 2022 ] Training epoch: 13
+[ Tue Aug 23 22:39:40 2022 ] 	Training loss: 2.4363.  Training acc: 49.38%.
+[ Tue Aug 23 22:39:40 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:39:40 2022 ] Eval epoch: 13
+[ Tue Aug 23 22:40:27 2022 ] 	Mean test loss of 156 batches: 7.314648.
+[ Tue Aug 23 22:40:28 2022 ] 	Top1: 3.15%
+[ Tue Aug 23 22:40:28 2022 ] 	Top5: 8.88%
+[ Tue Aug 23 22:40:29 2022 ] Training epoch: 14
+[ Tue Aug 23 22:40:53 2022 ] 	Training loss: 2.3976.  Training acc: 50.00%.
+[ Tue Aug 23 22:40:53 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:40:53 2022 ] Eval epoch: 14
+[ Tue Aug 23 22:41:40 2022 ] 	Mean test loss of 156 batches: 6.994311.
+[ Tue Aug 23 22:41:40 2022 ] 	Top1: 4.65%
+[ Tue Aug 23 22:41:41 2022 ] 	Top5: 15.51%
+[ Tue Aug 23 22:41:42 2022 ] Training epoch: 15
+[ Tue Aug 23 22:42:06 2022 ] 	Training loss: 2.3392.  Training acc: 51.93%.
+[ Tue Aug 23 22:42:06 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:42:06 2022 ] Eval epoch: 15
+[ Tue Aug 23 22:42:52 2022 ] 	Mean test loss of 156 batches: 6.867226.
+[ Tue Aug 23 22:42:53 2022 ] 	Top1: 2.73%
+[ Tue Aug 23 22:42:53 2022 ] 	Top5: 8.58%
+[ Tue Aug 23 22:42:54 2022 ] Training epoch: 16
+[ Tue Aug 23 22:43:19 2022 ] 	Training loss: 2.2894.  Training acc: 53.49%.
+[ Tue Aug 23 22:43:19 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:43:19 2022 ] Eval epoch: 16
+[ Tue Aug 23 22:44:05 2022 ] 	Mean test loss of 156 batches: 5.921347.
+[ Tue Aug 23 22:44:06 2022 ] 	Top1: 4.91%
+[ Tue Aug 23 22:44:06 2022 ] 	Top5: 17.23%
+[ Tue Aug 23 22:44:07 2022 ] Training epoch: 17
+[ Tue Aug 23 22:44:33 2022 ] 	Training loss: 2.2732.  Training acc: 54.08%.
+[ Tue Aug 23 22:44:33 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:44:33 2022 ] Eval epoch: 17
+[ Tue Aug 23 22:45:20 2022 ] 	Mean test loss of 156 batches: 5.434692.
+[ Tue Aug 23 22:45:20 2022 ] 	Top1: 6.96%
+[ Tue Aug 23 22:45:21 2022 ] 	Top5: 19.85%
+[ Tue Aug 23 22:45:22 2022 ] Training epoch: 18
+[ Tue Aug 23 22:45:47 2022 ] 	Training loss: 2.2251.  Training acc: 55.59%.
+[ Tue Aug 23 22:45:47 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:45:47 2022 ] Eval epoch: 18
+[ Tue Aug 23 22:46:33 2022 ] 	Mean test loss of 156 batches: 4.728173.
+[ Tue Aug 23 22:46:34 2022 ] 	Top1: 8.59%
+[ Tue Aug 23 22:46:34 2022 ] 	Top5: 25.07%
+[ Tue Aug 23 22:46:35 2022 ] Training epoch: 19
+[ Tue Aug 23 22:46:59 2022 ] 	Training loss: 2.1755.  Training acc: 56.81%.
+[ Tue Aug 23 22:46:59 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:46:59 2022 ] Eval epoch: 19
+[ Tue Aug 23 22:47:45 2022 ] 	Mean test loss of 156 batches: 6.112884.
+[ Tue Aug 23 22:47:46 2022 ] 	Top1: 4.68%
+[ Tue Aug 23 22:47:46 2022 ] 	Top5: 17.03%
+[ Tue Aug 23 22:47:47 2022 ] Training epoch: 20
+[ Tue Aug 23 22:48:12 2022 ] 	Training loss: 2.1417.  Training acc: 58.06%.
+[ Tue Aug 23 22:48:12 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:48:12 2022 ] Eval epoch: 20
+[ Tue Aug 23 22:48:58 2022 ] 	Mean test loss of 156 batches: 6.306672.
+[ Tue Aug 23 22:48:58 2022 ] 	Top1: 4.65%
+[ Tue Aug 23 22:48:59 2022 ] 	Top5: 13.66%
+[ Tue Aug 23 22:48:59 2022 ] Training epoch: 21
+[ Tue Aug 23 22:49:24 2022 ] 	Training loss: 2.1302.  Training acc: 58.88%.
+[ Tue Aug 23 22:49:24 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:49:24 2022 ] Eval epoch: 21
+[ Tue Aug 23 22:50:11 2022 ] 	Mean test loss of 156 batches: 6.291365.
+[ Tue Aug 23 22:50:12 2022 ] 	Top1: 5.56%
+[ Tue Aug 23 22:50:12 2022 ] 	Top5: 16.56%
+[ Tue Aug 23 22:50:13 2022 ] Training epoch: 22
+[ Tue Aug 23 22:50:37 2022 ] 	Training loss: 2.0797.  Training acc: 60.38%.
+[ Tue Aug 23 22:50:37 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:50:37 2022 ] Eval epoch: 22
+[ Tue Aug 23 22:51:23 2022 ] 	Mean test loss of 156 batches: 6.346859.
+[ Tue Aug 23 22:51:23 2022 ] 	Top1: 5.54%
+[ Tue Aug 23 22:51:24 2022 ] 	Top5: 19.11%
+[ Tue Aug 23 22:51:24 2022 ] Training epoch: 23
+[ Tue Aug 23 22:51:49 2022 ] 	Training loss: 2.0568.  Training acc: 61.18%.
+[ Tue Aug 23 22:51:49 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:51:49 2022 ] Eval epoch: 23
+[ Tue Aug 23 22:52:36 2022 ] 	Mean test loss of 156 batches: 5.147677.
+[ Tue Aug 23 22:52:37 2022 ] 	Top1: 10.95%
+[ Tue Aug 23 22:52:37 2022 ] 	Top5: 24.23%
+[ Tue Aug 23 22:52:38 2022 ] Training epoch: 24
+[ Tue Aug 23 22:53:02 2022 ] 	Training loss: 2.0144.  Training acc: 62.78%.
+[ Tue Aug 23 22:53:02 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:53:02 2022 ] Eval epoch: 24
+[ Tue Aug 23 22:53:51 2022 ] 	Mean test loss of 156 batches: 6.789233.
+[ Tue Aug 23 22:53:51 2022 ] 	Top1: 4.29%
+[ Tue Aug 23 22:53:52 2022 ] 	Top5: 14.91%
+[ Tue Aug 23 22:53:52 2022 ] Training epoch: 25
+[ Tue Aug 23 22:54:16 2022 ] 	Training loss: 1.9929.  Training acc: 63.17%.
+[ Tue Aug 23 22:54:16 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:54:16 2022 ] Eval epoch: 25
+[ Tue Aug 23 22:55:04 2022 ] 	Mean test loss of 156 batches: 6.808210.
+[ Tue Aug 23 22:55:04 2022 ] 	Top1: 5.39%
+[ Tue Aug 23 22:55:05 2022 ] 	Top5: 13.32%
+[ Tue Aug 23 22:55:05 2022 ] Training epoch: 26
+[ Tue Aug 23 22:55:30 2022 ] 	Training loss: 1.9779.  Training acc: 63.76%.
+[ Tue Aug 23 22:55:30 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:55:30 2022 ] Eval epoch: 26
+[ Tue Aug 23 22:56:15 2022 ] 	Mean test loss of 156 batches: 5.210223.
+[ Tue Aug 23 22:56:16 2022 ] 	Top1: 12.88%
+[ Tue Aug 23 22:56:16 2022 ] 	Top5: 28.60%
+[ Tue Aug 23 22:56:17 2022 ] Training epoch: 27
+[ Tue Aug 23 22:56:42 2022 ] 	Training loss: 1.9501.  Training acc: 65.08%.
+[ Tue Aug 23 22:56:42 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:56:42 2022 ] Eval epoch: 27
+[ Tue Aug 23 22:57:29 2022 ] 	Mean test loss of 156 batches: 4.763085.
+[ Tue Aug 23 22:57:29 2022 ] 	Top1: 11.11%
+[ Tue Aug 23 22:57:30 2022 ] 	Top5: 28.13%
+[ Tue Aug 23 22:57:30 2022 ] Training epoch: 28
+[ Tue Aug 23 22:57:55 2022 ] 	Training loss: 1.9231.  Training acc: 65.98%.
+[ Tue Aug 23 22:57:55 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:57:55 2022 ] Eval epoch: 28
+[ Tue Aug 23 22:58:42 2022 ] 	Mean test loss of 156 batches: 4.459027.
+[ Tue Aug 23 22:58:42 2022 ] 	Top1: 10.85%
+[ Tue Aug 23 22:58:43 2022 ] 	Top5: 31.42%
+[ Tue Aug 23 22:58:43 2022 ] Training epoch: 29
+[ Tue Aug 23 22:59:08 2022 ] 	Training loss: 1.9049.  Training acc: 66.38%.
+[ Tue Aug 23 22:59:08 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 22:59:08 2022 ] Eval epoch: 29
+[ Tue Aug 23 22:59:54 2022 ] 	Mean test loss of 156 batches: 4.893757.
+[ Tue Aug 23 22:59:54 2022 ] 	Top1: 12.23%
+[ Tue Aug 23 22:59:55 2022 ] 	Top5: 28.92%
+[ Tue Aug 23 22:59:55 2022 ] Training epoch: 30
+[ Tue Aug 23 23:00:20 2022 ] 	Training loss: 1.9013.  Training acc: 66.16%.
+[ Tue Aug 23 23:00:20 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:00:20 2022 ] Eval epoch: 30
+[ Tue Aug 23 23:01:05 2022 ] 	Mean test loss of 156 batches: 5.503452.
+[ Tue Aug 23 23:01:05 2022 ] 	Top1: 7.65%
+[ Tue Aug 23 23:01:06 2022 ] 	Top5: 19.86%
+[ Tue Aug 23 23:01:06 2022 ] Training epoch: 31
+[ Tue Aug 23 23:01:32 2022 ] 	Training loss: 1.8623.  Training acc: 67.46%.
+[ Tue Aug 23 23:01:32 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:01:32 2022 ] Eval epoch: 31
+[ Tue Aug 23 23:02:18 2022 ] 	Mean test loss of 156 batches: 4.676369.
+[ Tue Aug 23 23:02:18 2022 ] 	Top1: 14.46%
+[ Tue Aug 23 23:02:19 2022 ] 	Top5: 33.66%
+[ Tue Aug 23 23:02:20 2022 ] Training epoch: 32
+[ Tue Aug 23 23:02:44 2022 ] 	Training loss: 1.8380.  Training acc: 68.67%.
+[ Tue Aug 23 23:02:44 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:02:44 2022 ] Eval epoch: 32
+[ Tue Aug 23 23:03:30 2022 ] 	Mean test loss of 156 batches: 5.113636.
+[ Tue Aug 23 23:03:30 2022 ] 	Top1: 9.99%
+[ Tue Aug 23 23:03:31 2022 ] 	Top5: 24.31%
+[ Tue Aug 23 23:03:31 2022 ] Training epoch: 33
+[ Tue Aug 23 23:03:56 2022 ] 	Training loss: 1.8171.  Training acc: 68.63%.
+[ Tue Aug 23 23:03:56 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:03:56 2022 ] Eval epoch: 33
+[ Tue Aug 23 23:04:42 2022 ] 	Mean test loss of 156 batches: 4.736823.
+[ Tue Aug 23 23:04:42 2022 ] 	Top1: 13.43%
+[ Tue Aug 23 23:04:43 2022 ] 	Top5: 31.05%
+[ Tue Aug 23 23:04:43 2022 ] Training epoch: 34
+[ Tue Aug 23 23:05:08 2022 ] 	Training loss: 1.7945.  Training acc: 69.99%.
+[ Tue Aug 23 23:05:08 2022 ] 	Time consumption: [Data]03%, [Network]96%
+[ Tue Aug 23 23:05:08 2022 ] Eval epoch: 34
+[ Tue Aug 23 23:05:55 2022 ] 	Mean test loss of 156 batches: 5.272753.
+[ Tue Aug 23 23:05:56 2022 ] 	Top1: 9.07%
+[ Tue Aug 23 23:05:56 2022 ] 	Top5: 25.47%
+[ Tue Aug 23 23:05:57 2022 ] Training epoch: 35
+[ Tue Aug 23 23:06:22 2022 ] 	Training loss: 1.7603.  Training acc: 71.05%.
+[ Tue Aug 23 23:06:22 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:06:22 2022 ] Eval epoch: 35
+[ Tue Aug 23 23:07:07 2022 ] 	Mean test loss of 156 batches: 4.219017.
+[ Tue Aug 23 23:07:08 2022 ] 	Top1: 16.79%
+[ Tue Aug 23 23:07:08 2022 ] 	Top5: 37.06%
+[ Tue Aug 23 23:07:09 2022 ] Training epoch: 36
+[ Tue Aug 23 23:07:34 2022 ] 	Training loss: 1.7512.  Training acc: 71.01%.
+[ Tue Aug 23 23:07:34 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:07:34 2022 ] Eval epoch: 36
+[ Tue Aug 23 23:08:21 2022 ] 	Mean test loss of 156 batches: 4.429764.
+[ Tue Aug 23 23:08:21 2022 ] 	Top1: 13.85%
+[ Tue Aug 23 23:08:22 2022 ] 	Top5: 35.99%
+[ Tue Aug 23 23:08:22 2022 ] Training epoch: 37
+[ Tue Aug 23 23:08:48 2022 ] 	Training loss: 1.7277.  Training acc: 71.74%.
+[ Tue Aug 23 23:08:48 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:08:48 2022 ] Eval epoch: 37
+[ Tue Aug 23 23:09:35 2022 ] 	Mean test loss of 156 batches: 6.485808.
+[ Tue Aug 23 23:09:36 2022 ] 	Top1: 5.46%
+[ Tue Aug 23 23:09:36 2022 ] 	Top5: 16.33%
+[ Tue Aug 23 23:09:37 2022 ] Training epoch: 38
+[ Tue Aug 23 23:10:01 2022 ] 	Training loss: 1.7172.  Training acc: 72.52%.
+[ Tue Aug 23 23:10:01 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:10:01 2022 ] Eval epoch: 38
+[ Tue Aug 23 23:10:48 2022 ] 	Mean test loss of 156 batches: 3.461079.
+[ Tue Aug 23 23:10:49 2022 ] 	Top1: 27.37%
+[ Tue Aug 23 23:10:49 2022 ] 	Top5: 52.49%
+[ Tue Aug 23 23:10:50 2022 ] Training epoch: 39
+[ Tue Aug 23 23:11:14 2022 ] 	Training loss: 1.7034.  Training acc: 72.99%.
+[ Tue Aug 23 23:11:14 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:11:14 2022 ] Eval epoch: 39
+[ Tue Aug 23 23:12:04 2022 ] 	Mean test loss of 156 batches: 4.614997.
+[ Tue Aug 23 23:12:04 2022 ] 	Top1: 15.31%
+[ Tue Aug 23 23:12:05 2022 ] 	Top5: 35.48%
+[ Tue Aug 23 23:12:05 2022 ] Training epoch: 40
+[ Tue Aug 23 23:12:30 2022 ] 	Training loss: 1.6841.  Training acc: 73.44%.
+[ Tue Aug 23 23:12:30 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:12:30 2022 ] Eval epoch: 40
+[ Tue Aug 23 23:13:18 2022 ] 	Mean test loss of 156 batches: 5.594589.
+[ Tue Aug 23 23:13:18 2022 ] 	Top1: 10.03%
+[ Tue Aug 23 23:13:19 2022 ] 	Top5: 31.89%
+[ Tue Aug 23 23:13:19 2022 ] Training epoch: 41
+[ Tue Aug 23 23:13:43 2022 ] 	Training loss: 1.6564.  Training acc: 74.43%.
+[ Tue Aug 23 23:13:43 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:13:43 2022 ] Eval epoch: 41
+[ Tue Aug 23 23:14:30 2022 ] 	Mean test loss of 156 batches: 3.459883.
+[ Tue Aug 23 23:14:30 2022 ] 	Top1: 26.41%
+[ Tue Aug 23 23:14:31 2022 ] 	Top5: 53.43%
+[ Tue Aug 23 23:14:31 2022 ] Training epoch: 42
+[ Tue Aug 23 23:14:56 2022 ] 	Training loss: 1.6486.  Training acc: 74.77%.
+[ Tue Aug 23 23:14:56 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:14:56 2022 ] Eval epoch: 42
+[ Tue Aug 23 23:15:43 2022 ] 	Mean test loss of 156 batches: 6.207309.
+[ Tue Aug 23 23:15:43 2022 ] 	Top1: 9.86%
+[ Tue Aug 23 23:15:44 2022 ] 	Top5: 20.55%
+[ Tue Aug 23 23:15:44 2022 ] Training epoch: 43
+[ Tue Aug 23 23:16:10 2022 ] 	Training loss: 1.6379.  Training acc: 75.02%.
+[ Tue Aug 23 23:16:10 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:16:10 2022 ] Eval epoch: 43
+[ Tue Aug 23 23:16:55 2022 ] 	Mean test loss of 156 batches: 4.066556.
+[ Tue Aug 23 23:16:55 2022 ] 	Top1: 20.70%
+[ Tue Aug 23 23:16:56 2022 ] 	Top5: 42.07%
+[ Tue Aug 23 23:16:56 2022 ] Training epoch: 44
+[ Tue Aug 23 23:17:21 2022 ] 	Training loss: 1.6230.  Training acc: 75.54%.
+[ Tue Aug 23 23:17:21 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:17:21 2022 ] Eval epoch: 44
+[ Tue Aug 23 23:18:06 2022 ] 	Mean test loss of 156 batches: 4.481518.
+[ Tue Aug 23 23:18:07 2022 ] 	Top1: 16.93%
+[ Tue Aug 23 23:18:07 2022 ] 	Top5: 36.37%
+[ Tue Aug 23 23:18:08 2022 ] Training epoch: 45
+[ Tue Aug 23 23:18:34 2022 ] 	Training loss: 1.5830.  Training acc: 77.04%.
+[ Tue Aug 23 23:18:34 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:18:34 2022 ] Eval epoch: 45
+[ Tue Aug 23 23:19:21 2022 ] 	Mean test loss of 156 batches: 4.126564.
+[ Tue Aug 23 23:19:21 2022 ] 	Top1: 20.18%
+[ Tue Aug 23 23:19:22 2022 ] 	Top5: 43.79%
+[ Tue Aug 23 23:19:22 2022 ] Training epoch: 46
+[ Tue Aug 23 23:19:48 2022 ] 	Training loss: 1.5862.  Training acc: 76.48%.
+[ Tue Aug 23 23:19:48 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Tue Aug 23 23:19:48 2022 ] Eval epoch: 46
+[ Tue Aug 23 23:20:35 2022 ] 	Mean test loss of 156 batches: 4.895270.
+[ Tue Aug 23 23:20:35 2022 ] 	Top1: 14.94%
+[ Tue Aug 23 23:20:36 2022 ] 	Top5: 36.27%
+[ Tue Aug 23 23:20:36 2022 ] Training epoch: 47
+[ Tue Aug 23 23:21:02 2022 ] 	Training loss: 1.5623.  Training acc: 77.99%.
+[ Tue Aug 23 23:21:02 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:21:02 2022 ] Eval epoch: 47
+[ Tue Aug 23 23:21:48 2022 ] 	Mean test loss of 156 batches: 3.687891.
+[ Tue Aug 23 23:21:48 2022 ] 	Top1: 22.98%
+[ Tue Aug 23 23:21:49 2022 ] 	Top5: 48.83%
+[ Tue Aug 23 23:21:49 2022 ] Training epoch: 48
+[ Tue Aug 23 23:22:13 2022 ] 	Training loss: 1.5421.  Training acc: 78.57%.
+[ Tue Aug 23 23:22:13 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:22:13 2022 ] Eval epoch: 48
+[ Tue Aug 23 23:23:00 2022 ] 	Mean test loss of 156 batches: 3.718048.
+[ Tue Aug 23 23:23:01 2022 ] 	Top1: 21.70%
+[ Tue Aug 23 23:23:01 2022 ] 	Top5: 47.64%
+[ Tue Aug 23 23:23:02 2022 ] Training epoch: 49
+[ Tue Aug 23 23:23:27 2022 ] 	Training loss: 1.5464.  Training acc: 78.14%.
+[ Tue Aug 23 23:23:27 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Tue Aug 23 23:23:27 2022 ] Eval epoch: 49
+[ Tue Aug 23 23:24:14 2022 ] 	Mean test loss of 156 batches: 3.887544.
+[ Tue Aug 23 23:24:15 2022 ] 	Top1: 21.41%
+[ Tue Aug 23 23:24:15 2022 ] 	Top5: 46.97%
+[ Tue Aug 23 23:24:16 2022 ] Training epoch: 50
+[ Tue Aug 23 23:24:41 2022 ] 	Training loss: 1.5160.  Training acc: 79.42%.
+[ Tue Aug 23 23:24:41 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:24:41 2022 ] Eval epoch: 50
+[ Tue Aug 23 23:25:30 2022 ] 	Mean test loss of 156 batches: 4.253734.
+[ Tue Aug 23 23:25:30 2022 ] 	Top1: 19.15%
+[ Tue Aug 23 23:25:31 2022 ] 	Top5: 42.75%
+[ Tue Aug 23 23:25:31 2022 ] Training epoch: 51
+[ Tue Aug 23 23:25:56 2022 ] 	Training loss: 1.5101.  Training acc: 79.25%.
+[ Tue Aug 23 23:25:56 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:25:56 2022 ] Eval epoch: 51
+[ Tue Aug 23 23:26:41 2022 ] 	Mean test loss of 156 batches: 3.694462.
+[ Tue Aug 23 23:26:41 2022 ] 	Top1: 26.60%
+[ Tue Aug 23 23:26:42 2022 ] 	Top5: 50.93%
+[ Tue Aug 23 23:26:42 2022 ] Training epoch: 52
+[ Tue Aug 23 23:27:06 2022 ] 	Training loss: 1.4934.  Training acc: 79.96%.
+[ Tue Aug 23 23:27:06 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:27:06 2022 ] Eval epoch: 52
+[ Tue Aug 23 23:27:52 2022 ] 	Mean test loss of 156 batches: 4.302873.
+[ Tue Aug 23 23:27:53 2022 ] 	Top1: 21.65%
+[ Tue Aug 23 23:27:53 2022 ] 	Top5: 47.55%
+[ Tue Aug 23 23:27:54 2022 ] Training epoch: 53
+[ Tue Aug 23 23:28:18 2022 ] 	Training loss: 1.4709.  Training acc: 81.33%.
+[ Tue Aug 23 23:28:18 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:28:18 2022 ] Eval epoch: 53
+[ Tue Aug 23 23:29:07 2022 ] 	Mean test loss of 156 batches: 3.339003.
+[ Tue Aug 23 23:29:08 2022 ] 	Top1: 32.20%
+[ Tue Aug 23 23:29:08 2022 ] 	Top5: 57.92%
+[ Tue Aug 23 23:29:09 2022 ] Training epoch: 54
+[ Tue Aug 23 23:29:33 2022 ] 	Training loss: 1.4698.  Training acc: 80.81%.
+[ Tue Aug 23 23:29:33 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:29:33 2022 ] Eval epoch: 54
+[ Tue Aug 23 23:30:22 2022 ] 	Mean test loss of 156 batches: 3.601377.
+[ Tue Aug 23 23:30:22 2022 ] 	Top1: 26.19%
+[ Tue Aug 23 23:30:23 2022 ] 	Top5: 55.32%
+[ Tue Aug 23 23:30:23 2022 ] Training epoch: 55
+[ Tue Aug 23 23:30:48 2022 ] 	Training loss: 1.4470.  Training acc: 81.59%.
+[ Tue Aug 23 23:30:48 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:30:48 2022 ] Eval epoch: 55
+[ Tue Aug 23 23:31:34 2022 ] 	Mean test loss of 156 batches: 3.559711.
+[ Tue Aug 23 23:31:34 2022 ] 	Top1: 27.99%
+[ Tue Aug 23 23:31:35 2022 ] 	Top5: 53.05%
+[ Tue Aug 23 23:31:35 2022 ] Training epoch: 56
+[ Tue Aug 23 23:32:00 2022 ] 	Training loss: 1.4347.  Training acc: 82.22%.
+[ Tue Aug 23 23:32:00 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:32:00 2022 ] Eval epoch: 56
+[ Tue Aug 23 23:32:49 2022 ] 	Mean test loss of 156 batches: 3.330557.
+[ Tue Aug 23 23:32:49 2022 ] 	Top1: 31.84%
+[ Tue Aug 23 23:32:50 2022 ] 	Top5: 59.09%
+[ Tue Aug 23 23:32:50 2022 ] Training epoch: 57
+[ Tue Aug 23 23:33:15 2022 ] 	Training loss: 1.4297.  Training acc: 82.68%.
+[ Tue Aug 23 23:33:15 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Tue Aug 23 23:33:15 2022 ] Eval epoch: 57
+[ Tue Aug 23 23:34:03 2022 ] 	Mean test loss of 156 batches: 2.959707.
+[ Tue Aug 23 23:34:03 2022 ] 	Top1: 38.80%
+[ Tue Aug 23 23:34:04 2022 ] 	Top5: 67.39%
+[ Tue Aug 23 23:34:05 2022 ] Training epoch: 58
+[ Tue Aug 23 23:34:29 2022 ] 	Training loss: 1.4110.  Training acc: 83.18%.
+[ Tue Aug 23 23:34:29 2022 ] 	Time consumption: [Data]03%, [Network]96%
+[ Tue Aug 23 23:34:29 2022 ] Eval epoch: 58
+[ Tue Aug 23 23:35:16 2022 ] 	Mean test loss of 156 batches: 3.568154.
+[ Tue Aug 23 23:35:16 2022 ] 	Top1: 27.84%
+[ Tue Aug 23 23:35:17 2022 ] 	Top5: 53.05%
+[ Tue Aug 23 23:35:17 2022 ] Training epoch: 59
+[ Tue Aug 23 23:35:41 2022 ] 	Training loss: 1.3993.  Training acc: 83.46%.
+[ Tue Aug 23 23:35:41 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:35:41 2022 ] Eval epoch: 59
+[ Tue Aug 23 23:36:28 2022 ] 	Mean test loss of 156 batches: 3.171172.
+[ Tue Aug 23 23:36:28 2022 ] 	Top1: 34.82%
+[ Tue Aug 23 23:36:29 2022 ] 	Top5: 62.15%
+[ Tue Aug 23 23:36:29 2022 ] Training epoch: 60
+[ Tue Aug 23 23:36:54 2022 ] 	Training loss: 1.3914.  Training acc: 83.88%.
+[ Tue Aug 23 23:36:54 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:36:54 2022 ] Eval epoch: 60
+[ Tue Aug 23 23:37:40 2022 ] 	Mean test loss of 156 batches: 4.010232.
+[ Tue Aug 23 23:37:40 2022 ] 	Top1: 24.17%
+[ Tue Aug 23 23:37:41 2022 ] 	Top5: 52.17%
+[ Tue Aug 23 23:37:41 2022 ] Training epoch: 61
+[ Tue Aug 23 23:38:06 2022 ] 	Training loss: 1.3696.  Training acc: 84.64%.
+[ Tue Aug 23 23:38:06 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:38:06 2022 ] Eval epoch: 61
+[ Tue Aug 23 23:38:52 2022 ] 	Mean test loss of 156 batches: 3.206204.
+[ Tue Aug 23 23:38:53 2022 ] 	Top1: 34.17%
+[ Tue Aug 23 23:38:53 2022 ] 	Top5: 60.92%
+[ Tue Aug 23 23:38:54 2022 ] Training epoch: 62
+[ Tue Aug 23 23:39:18 2022 ] 	Training loss: 1.3713.  Training acc: 84.31%.
+[ Tue Aug 23 23:39:18 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:39:18 2022 ] Eval epoch: 62
+[ Tue Aug 23 23:40:04 2022 ] 	Mean test loss of 156 batches: 2.988364.
+[ Tue Aug 23 23:40:04 2022 ] 	Top1: 39.62%
+[ Tue Aug 23 23:40:05 2022 ] 	Top5: 67.53%
+[ Tue Aug 23 23:40:06 2022 ] Training epoch: 63
+[ Tue Aug 23 23:40:30 2022 ] 	Training loss: 1.3558.  Training acc: 85.05%.
+[ Tue Aug 23 23:40:30 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:40:30 2022 ] Eval epoch: 63
+[ Tue Aug 23 23:41:18 2022 ] 	Mean test loss of 156 batches: 3.406432.
+[ Tue Aug 23 23:41:18 2022 ] 	Top1: 31.91%
+[ Tue Aug 23 23:41:19 2022 ] 	Top5: 58.18%
+[ Tue Aug 23 23:41:19 2022 ] Training epoch: 64
+[ Tue Aug 23 23:41:44 2022 ] 	Training loss: 1.3402.  Training acc: 85.75%.
+[ Tue Aug 23 23:41:44 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:41:44 2022 ] Eval epoch: 64
+[ Tue Aug 23 23:42:32 2022 ] 	Mean test loss of 156 batches: 3.666157.
+[ Tue Aug 23 23:42:32 2022 ] 	Top1: 29.70%
+[ Tue Aug 23 23:42:33 2022 ] 	Top5: 52.05%
+[ Tue Aug 23 23:42:33 2022 ] Training epoch: 65
+[ Tue Aug 23 23:42:58 2022 ] 	Training loss: 1.3312.  Training acc: 86.06%.
+[ Tue Aug 23 23:42:58 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:42:58 2022 ] Eval epoch: 65
+[ Tue Aug 23 23:43:48 2022 ] 	Mean test loss of 156 batches: 3.187915.
+[ Tue Aug 23 23:43:49 2022 ] 	Top1: 34.76%
+[ Tue Aug 23 23:43:49 2022 ] 	Top5: 61.91%
+[ Tue Aug 23 23:43:50 2022 ] Training epoch: 66
+[ Tue Aug 23 23:44:14 2022 ] 	Training loss: 1.3288.  Training acc: 86.27%.
+[ Tue Aug 23 23:44:14 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:44:14 2022 ] Eval epoch: 66
+[ Tue Aug 23 23:45:03 2022 ] 	Mean test loss of 156 batches: 3.332087.
+[ Tue Aug 23 23:45:03 2022 ] 	Top1: 33.06%
+[ Tue Aug 23 23:45:04 2022 ] 	Top5: 59.30%
+[ Tue Aug 23 23:45:04 2022 ] Training epoch: 67
+[ Tue Aug 23 23:45:29 2022 ] 	Training loss: 1.3223.  Training acc: 86.41%.
+[ Tue Aug 23 23:45:29 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:45:29 2022 ] Eval epoch: 67
+[ Tue Aug 23 23:46:21 2022 ] 	Mean test loss of 156 batches: 3.167373.
+[ Tue Aug 23 23:46:22 2022 ] 	Top1: 34.87%
+[ Tue Aug 23 23:46:23 2022 ] 	Top5: 62.98%
+[ Tue Aug 23 23:46:23 2022 ] Training epoch: 68
+[ Tue Aug 23 23:46:47 2022 ] 	Training loss: 1.3031.  Training acc: 86.99%.
+[ Tue Aug 23 23:46:47 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:46:47 2022 ] Eval epoch: 68
+[ Tue Aug 23 23:47:37 2022 ] 	Mean test loss of 156 batches: 3.607561.
+[ Tue Aug 23 23:47:38 2022 ] 	Top1: 29.18%
+[ Tue Aug 23 23:47:38 2022 ] 	Top5: 54.26%
+[ Tue Aug 23 23:47:39 2022 ] Training epoch: 69
+[ Tue Aug 23 23:48:04 2022 ] 	Training loss: 1.3112.  Training acc: 86.52%.
+[ Tue Aug 23 23:48:04 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:48:04 2022 ] Eval epoch: 69
+[ Tue Aug 23 23:48:51 2022 ] 	Mean test loss of 156 batches: 2.931258.
+[ Tue Aug 23 23:48:51 2022 ] 	Top1: 38.88%
+[ Tue Aug 23 23:48:52 2022 ] 	Top5: 69.51%
+[ Tue Aug 23 23:48:52 2022 ] Training epoch: 70
+[ Tue Aug 23 23:49:17 2022 ] 	Training loss: 1.2869.  Training acc: 87.51%.
+[ Tue Aug 23 23:49:17 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:49:17 2022 ] Eval epoch: 70
+[ Tue Aug 23 23:50:04 2022 ] 	Mean test loss of 156 batches: 3.130233.
+[ Tue Aug 23 23:50:05 2022 ] 	Top1: 36.28%
+[ Tue Aug 23 23:50:05 2022 ] 	Top5: 63.57%
+[ Tue Aug 23 23:50:06 2022 ] Training epoch: 71
+[ Tue Aug 23 23:50:30 2022 ] 	Training loss: 1.2839.  Training acc: 87.79%.
+[ Tue Aug 23 23:50:30 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:50:30 2022 ] Eval epoch: 71
+[ Tue Aug 23 23:51:19 2022 ] 	Mean test loss of 156 batches: 2.897976.
+[ Tue Aug 23 23:51:19 2022 ] 	Top1: 41.18%
+[ Tue Aug 23 23:51:20 2022 ] 	Top5: 70.18%
+[ Tue Aug 23 23:51:21 2022 ] Training epoch: 72
+[ Tue Aug 23 23:51:45 2022 ] 	Training loss: 1.2742.  Training acc: 88.07%.
+[ Tue Aug 23 23:51:45 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:51:45 2022 ] Eval epoch: 72
+[ Tue Aug 23 23:52:33 2022 ] 	Mean test loss of 156 batches: 2.909472.
+[ Tue Aug 23 23:52:34 2022 ] 	Top1: 40.27%
+[ Tue Aug 23 23:52:34 2022 ] 	Top5: 68.47%
+[ Tue Aug 23 23:52:35 2022 ] Training epoch: 73
+[ Tue Aug 23 23:52:59 2022 ] 	Training loss: 1.2752.  Training acc: 88.08%.
+[ Tue Aug 23 23:52:59 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:52:59 2022 ] Eval epoch: 73
+[ Tue Aug 23 23:53:43 2022 ] 	Mean test loss of 156 batches: 2.796352.
+[ Tue Aug 23 23:53:44 2022 ] 	Top1: 43.41%
+[ Tue Aug 23 23:53:44 2022 ] 	Top5: 72.95%
+[ Tue Aug 23 23:53:45 2022 ] Training epoch: 74
+[ Tue Aug 23 23:54:11 2022 ] 	Training loss: 1.2525.  Training acc: 88.87%.
+[ Tue Aug 23 23:54:11 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:54:11 2022 ] Eval epoch: 74
+[ Tue Aug 23 23:54:58 2022 ] 	Mean test loss of 156 batches: 2.940852.
+[ Tue Aug 23 23:54:58 2022 ] 	Top1: 39.54%
+[ Tue Aug 23 23:54:59 2022 ] 	Top5: 67.13%
+[ Tue Aug 23 23:54:59 2022 ] Training epoch: 75
+[ Tue Aug 23 23:55:24 2022 ] 	Training loss: 1.2485.  Training acc: 88.69%.
+[ Tue Aug 23 23:55:24 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:55:24 2022 ] Eval epoch: 75
+[ Tue Aug 23 23:56:11 2022 ] 	Mean test loss of 156 batches: 3.206457.
+[ Tue Aug 23 23:56:11 2022 ] 	Top1: 34.34%
+[ Tue Aug 23 23:56:12 2022 ] 	Top5: 61.10%
+[ Tue Aug 23 23:56:12 2022 ] Training epoch: 76
+[ Tue Aug 23 23:56:37 2022 ] 	Training loss: 1.2513.  Training acc: 88.59%.
+[ Tue Aug 23 23:56:37 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:56:37 2022 ] Eval epoch: 76
+[ Tue Aug 23 23:57:23 2022 ] 	Mean test loss of 156 batches: 2.725164.
+[ Tue Aug 23 23:57:24 2022 ] 	Top1: 44.81%
+[ Tue Aug 23 23:57:24 2022 ] 	Top5: 73.01%
+[ Tue Aug 23 23:57:25 2022 ] Training epoch: 77
+[ Tue Aug 23 23:57:50 2022 ] 	Training loss: 1.2371.  Training acc: 89.50%.
+[ Tue Aug 23 23:57:50 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:57:50 2022 ] Eval epoch: 77
+[ Tue Aug 23 23:58:38 2022 ] 	Mean test loss of 156 batches: 2.822684.
+[ Tue Aug 23 23:58:39 2022 ] 	Top1: 42.62%
+[ Tue Aug 23 23:58:39 2022 ] 	Top5: 71.75%
+[ Tue Aug 23 23:58:40 2022 ] Training epoch: 78
+[ Tue Aug 23 23:59:04 2022 ] 	Training loss: 1.2322.  Training acc: 89.48%.
+[ Tue Aug 23 23:59:04 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 23:59:04 2022 ] Eval epoch: 78
+[ Tue Aug 23 23:59:53 2022 ] 	Mean test loss of 156 batches: 2.682667.
+[ Tue Aug 23 23:59:53 2022 ] 	Top1: 46.71%
+[ Tue Aug 23 23:59:54 2022 ] 	Top5: 76.59%
+[ Tue Aug 23 23:59:55 2022 ] Training epoch: 79
+[ Wed Aug 24 00:00:20 2022 ] 	Training loss: 1.2236.  Training acc: 90.07%.
+[ Wed Aug 24 00:00:20 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:00:20 2022 ] Eval epoch: 79
+[ Wed Aug 24 00:01:17 2022 ] 	Mean test loss of 156 batches: 2.704036.
+[ Wed Aug 24 00:01:18 2022 ] 	Top1: 44.45%
+[ Wed Aug 24 00:01:18 2022 ] 	Top5: 73.59%
+[ Wed Aug 24 00:01:19 2022 ] Training epoch: 80
+[ Wed Aug 24 00:01:45 2022 ] 	Training loss: 1.2292.  Training acc: 89.56%.
+[ Wed Aug 24 00:01:45 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 00:01:45 2022 ] Eval epoch: 80
+[ Wed Aug 24 00:02:37 2022 ] 	Mean test loss of 156 batches: 3.012832.
+[ Wed Aug 24 00:02:38 2022 ] 	Top1: 38.81%
+[ Wed Aug 24 00:02:38 2022 ] 	Top5: 67.41%
+[ Wed Aug 24 00:02:39 2022 ] Training epoch: 81
+[ Wed Aug 24 00:03:04 2022 ] 	Training loss: 1.2178.  Training acc: 90.64%.
+[ Wed Aug 24 00:03:04 2022 ] 	Time consumption: [Data]05%, [Network]94%
+[ Wed Aug 24 00:03:04 2022 ] Eval epoch: 81
+[ Wed Aug 24 00:03:51 2022 ] 	Mean test loss of 156 batches: 3.102777.
+[ Wed Aug 24 00:03:52 2022 ] 	Top1: 39.23%
+[ Wed Aug 24 00:03:52 2022 ] 	Top5: 65.59%
+[ Wed Aug 24 00:03:53 2022 ] Training epoch: 82
+[ Wed Aug 24 00:04:17 2022 ] 	Training loss: 1.2088.  Training acc: 90.33%.
+[ Wed Aug 24 00:04:17 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:04:17 2022 ] Eval epoch: 82
+[ Wed Aug 24 00:05:04 2022 ] 	Mean test loss of 156 batches: 2.910886.
+[ Wed Aug 24 00:05:04 2022 ] 	Top1: 41.02%
+[ Wed Aug 24 00:05:05 2022 ] 	Top5: 69.22%
+[ Wed Aug 24 00:05:05 2022 ] Training epoch: 83
+[ Wed Aug 24 00:05:30 2022 ] 	Training loss: 1.2038.  Training acc: 90.35%.
+[ Wed Aug 24 00:05:30 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 00:05:30 2022 ] Eval epoch: 83
+[ Wed Aug 24 00:06:18 2022 ] 	Mean test loss of 156 batches: 2.696190.
+[ Wed Aug 24 00:06:19 2022 ] 	Top1: 45.65%
+[ Wed Aug 24 00:06:19 2022 ] 	Top5: 74.02%
+[ Wed Aug 24 00:06:20 2022 ] Training epoch: 84
+[ Wed Aug 24 00:06:44 2022 ] 	Training loss: 1.1933.  Training acc: 90.76%.
+[ Wed Aug 24 00:06:44 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 00:06:44 2022 ] Eval epoch: 84
+[ Wed Aug 24 00:07:33 2022 ] 	Mean test loss of 156 batches: 3.613552.
+[ Wed Aug 24 00:07:34 2022 ] 	Top1: 30.77%
+[ Wed Aug 24 00:07:34 2022 ] 	Top5: 55.76%
+[ Wed Aug 24 00:07:35 2022 ] Training epoch: 85
+[ Wed Aug 24 00:07:59 2022 ] 	Training loss: 1.1914.  Training acc: 91.11%.
+[ Wed Aug 24 00:07:59 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 00:07:59 2022 ] Eval epoch: 85
+[ Wed Aug 24 00:08:48 2022 ] 	Mean test loss of 156 batches: 2.591881.
+[ Wed Aug 24 00:08:48 2022 ] 	Top1: 48.50%
+[ Wed Aug 24 00:08:49 2022 ] 	Top5: 76.37%
+[ Wed Aug 24 00:08:50 2022 ] Training epoch: 86
+[ Wed Aug 24 00:09:14 2022 ] 	Training loss: 1.1826.  Training acc: 91.25%.
+[ Wed Aug 24 00:09:14 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 00:09:14 2022 ] Eval epoch: 86
+[ Wed Aug 24 00:10:01 2022 ] 	Mean test loss of 156 batches: 2.607194.
+[ Wed Aug 24 00:10:02 2022 ] 	Top1: 46.89%
+[ Wed Aug 24 00:10:03 2022 ] 	Top5: 75.73%
+[ Wed Aug 24 00:10:03 2022 ] Training epoch: 87
+[ Wed Aug 24 00:10:29 2022 ] 	Training loss: 1.1940.  Training acc: 90.79%.
+[ Wed Aug 24 00:10:29 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 00:10:29 2022 ] Eval epoch: 87
+[ Wed Aug 24 00:11:16 2022 ] 	Mean test loss of 156 batches: 2.934213.
+[ Wed Aug 24 00:11:16 2022 ] 	Top1: 40.31%
+[ Wed Aug 24 00:11:17 2022 ] 	Top5: 68.89%
+[ Wed Aug 24 00:11:17 2022 ] Training epoch: 88
+[ Wed Aug 24 00:11:43 2022 ] 	Training loss: 1.1787.  Training acc: 91.20%.
+[ Wed Aug 24 00:11:43 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:11:43 2022 ] Eval epoch: 88
+[ Wed Aug 24 00:12:30 2022 ] 	Mean test loss of 156 batches: 2.686475.
+[ Wed Aug 24 00:12:30 2022 ] 	Top1: 45.74%
+[ Wed Aug 24 00:12:31 2022 ] 	Top5: 74.24%
+[ Wed Aug 24 00:12:32 2022 ] Training epoch: 89
+[ Wed Aug 24 00:12:57 2022 ] 	Training loss: 1.1685.  Training acc: 91.76%.
+[ Wed Aug 24 00:12:57 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:12:57 2022 ] Eval epoch: 89
+[ Wed Aug 24 00:13:44 2022 ] 	Mean test loss of 156 batches: 2.999242.
+[ Wed Aug 24 00:13:45 2022 ] 	Top1: 39.94%
+[ Wed Aug 24 00:13:45 2022 ] 	Top5: 69.43%
+[ Wed Aug 24 00:13:46 2022 ] Training epoch: 90
+[ Wed Aug 24 00:14:11 2022 ] 	Training loss: 1.1746.  Training acc: 91.53%.
+[ Wed Aug 24 00:14:11 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:14:11 2022 ] Eval epoch: 90
+[ Wed Aug 24 00:14:58 2022 ] 	Mean test loss of 156 batches: 2.688908.
+[ Wed Aug 24 00:14:59 2022 ] 	Top1: 46.19%
+[ Wed Aug 24 00:14:59 2022 ] 	Top5: 74.92%
+[ Wed Aug 24 00:15:00 2022 ] Training epoch: 91
+[ Wed Aug 24 00:15:26 2022 ] 	Training loss: 1.0720.  Training acc: 95.38%.
+[ Wed Aug 24 00:15:26 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:15:26 2022 ] Eval epoch: 91
+[ Wed Aug 24 00:16:13 2022 ] 	Mean test loss of 156 batches: 2.339175.
+[ Wed Aug 24 00:16:14 2022 ] 	Top1: 53.94%
+[ Wed Aug 24 00:16:14 2022 ] 	Top5: 82.27%
+[ Wed Aug 24 00:16:15 2022 ] Training epoch: 92
+[ Wed Aug 24 00:16:40 2022 ] 	Training loss: 1.0240.  Training acc: 97.08%.
+[ Wed Aug 24 00:16:40 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:16:40 2022 ] Eval epoch: 92
+[ Wed Aug 24 00:17:27 2022 ] 	Mean test loss of 156 batches: 2.329528.
+[ Wed Aug 24 00:17:27 2022 ] 	Top1: 54.48%
+[ Wed Aug 24 00:17:28 2022 ] 	Top5: 82.53%
+[ Wed Aug 24 00:17:29 2022 ] Training epoch: 93
+[ Wed Aug 24 00:17:54 2022 ] 	Training loss: 1.0046.  Training acc: 97.57%.
+[ Wed Aug 24 00:17:54 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:17:54 2022 ] Eval epoch: 93
+[ Wed Aug 24 00:18:43 2022 ] 	Mean test loss of 156 batches: 2.312818.
+[ Wed Aug 24 00:18:43 2022 ] 	Top1: 54.84%
+[ Wed Aug 24 00:18:44 2022 ] 	Top5: 82.88%
+[ Wed Aug 24 00:18:44 2022 ] Training epoch: 94
+[ Wed Aug 24 00:19:09 2022 ] 	Training loss: 0.9959.  Training acc: 98.02%.
+[ Wed Aug 24 00:19:09 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:19:09 2022 ] Eval epoch: 94
+[ Wed Aug 24 00:19:57 2022 ] 	Mean test loss of 156 batches: 2.294079.
+[ Wed Aug 24 00:19:57 2022 ] 	Top1: 55.43%
+[ Wed Aug 24 00:19:58 2022 ] 	Top5: 83.35%
+[ Wed Aug 24 00:19:59 2022 ] Training epoch: 95
+[ Wed Aug 24 00:20:23 2022 ] 	Training loss: 0.9932.  Training acc: 97.86%.
+[ Wed Aug 24 00:20:23 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:20:23 2022 ] Eval epoch: 95
+[ Wed Aug 24 00:21:12 2022 ] 	Mean test loss of 156 batches: 2.316127.
+[ Wed Aug 24 00:21:12 2022 ] 	Top1: 54.59%
+[ Wed Aug 24 00:21:13 2022 ] 	Top5: 82.85%
+[ Wed Aug 24 00:21:13 2022 ] Training epoch: 96
+[ Wed Aug 24 00:21:38 2022 ] 	Training loss: 0.9862.  Training acc: 98.10%.
+[ Wed Aug 24 00:21:38 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:21:38 2022 ] Eval epoch: 96
+[ Wed Aug 24 00:22:28 2022 ] 	Mean test loss of 156 batches: 2.307377.
+[ Wed Aug 24 00:22:28 2022 ] 	Top1: 55.08%
+[ Wed Aug 24 00:22:29 2022 ] 	Top5: 82.88%
+[ Wed Aug 24 00:22:29 2022 ] Training epoch: 97
+[ Wed Aug 24 00:22:54 2022 ] 	Training loss: 0.9817.  Training acc: 98.18%.
+[ Wed Aug 24 00:22:54 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:22:54 2022 ] Eval epoch: 97
+[ Wed Aug 24 00:23:42 2022 ] 	Mean test loss of 156 batches: 2.310368.
+[ Wed Aug 24 00:23:43 2022 ] 	Top1: 54.98%
+[ Wed Aug 24 00:23:43 2022 ] 	Top5: 82.97%
+[ Wed Aug 24 00:23:44 2022 ] Training epoch: 98
+[ Wed Aug 24 00:24:08 2022 ] 	Training loss: 0.9780.  Training acc: 98.31%.
+[ Wed Aug 24 00:24:08 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:24:08 2022 ] Eval epoch: 98
+[ Wed Aug 24 00:24:57 2022 ] 	Mean test loss of 156 batches: 2.293049.
+[ Wed Aug 24 00:24:58 2022 ] 	Top1: 55.66%
+[ Wed Aug 24 00:24:58 2022 ] 	Top5: 83.15%
+[ Wed Aug 24 00:24:59 2022 ] Training epoch: 99
+[ Wed Aug 24 00:25:24 2022 ] 	Training loss: 0.9786.  Training acc: 98.17%.
+[ Wed Aug 24 00:25:24 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:25:24 2022 ] Eval epoch: 99
+[ Wed Aug 24 00:26:12 2022 ] 	Mean test loss of 156 batches: 2.328193.
+[ Wed Aug 24 00:26:13 2022 ] 	Top1: 54.57%
+[ Wed Aug 24 00:26:13 2022 ] 	Top5: 82.58%
+[ Wed Aug 24 00:26:14 2022 ] Training epoch: 100
+[ Wed Aug 24 00:26:39 2022 ] 	Training loss: 0.9695.  Training acc: 98.44%.
+[ Wed Aug 24 00:26:39 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:26:39 2022 ] Eval epoch: 100
+[ Wed Aug 24 00:27:26 2022 ] 	Mean test loss of 156 batches: 2.299290.
+[ Wed Aug 24 00:27:27 2022 ] 	Top1: 55.57%
+[ Wed Aug 24 00:27:28 2022 ] 	Top5: 83.28%
+[ Wed Aug 24 00:27:28 2022 ] Training epoch: 101
+[ Wed Aug 24 00:27:53 2022 ] 	Training loss: 0.9672.  Training acc: 98.67%.
+[ Wed Aug 24 00:27:53 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:27:53 2022 ] Eval epoch: 101
+[ Wed Aug 24 00:28:41 2022 ] 	Mean test loss of 156 batches: 2.308184.
+[ Wed Aug 24 00:28:41 2022 ] 	Top1: 55.12%
+[ Wed Aug 24 00:28:42 2022 ] 	Top5: 82.96%
+[ Wed Aug 24 00:28:42 2022 ] Training epoch: 102
+[ Wed Aug 24 00:29:07 2022 ] 	Training loss: 0.9608.  Training acc: 98.77%.
+[ Wed Aug 24 00:29:07 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:29:07 2022 ] Eval epoch: 102
+[ Wed Aug 24 00:29:58 2022 ] 	Mean test loss of 156 batches: 2.314377.
+[ Wed Aug 24 00:29:58 2022 ] 	Top1: 54.98%
+[ Wed Aug 24 00:29:59 2022 ] 	Top5: 82.73%
+[ Wed Aug 24 00:29:59 2022 ] Training epoch: 103
+[ Wed Aug 24 00:30:24 2022 ] 	Training loss: 0.9634.  Training acc: 98.64%.
+[ Wed Aug 24 00:30:24 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:30:24 2022 ] Eval epoch: 103
+[ Wed Aug 24 00:31:13 2022 ] 	Mean test loss of 156 batches: 2.311439.
+[ Wed Aug 24 00:31:13 2022 ] 	Top1: 55.07%
+[ Wed Aug 24 00:31:14 2022 ] 	Top5: 82.91%
+[ Wed Aug 24 00:31:14 2022 ] Training epoch: 104
+[ Wed Aug 24 00:31:39 2022 ] 	Training loss: 0.9674.  Training acc: 98.46%.
+[ Wed Aug 24 00:31:39 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:31:39 2022 ] Eval epoch: 104
+[ Wed Aug 24 00:32:26 2022 ] 	Mean test loss of 156 batches: 2.314195.
+[ Wed Aug 24 00:32:27 2022 ] 	Top1: 55.04%
+[ Wed Aug 24 00:32:27 2022 ] 	Top5: 82.75%
+[ Wed Aug 24 00:32:28 2022 ] Training epoch: 105
+[ Wed Aug 24 00:32:54 2022 ] 	Training loss: 0.9635.  Training acc: 98.63%.
+[ Wed Aug 24 00:32:54 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:32:54 2022 ] Eval epoch: 105
+[ Wed Aug 24 00:33:41 2022 ] 	Mean test loss of 156 batches: 2.336952.
+[ Wed Aug 24 00:33:41 2022 ] 	Top1: 54.36%
+[ Wed Aug 24 00:33:42 2022 ] 	Top5: 82.32%
+[ Wed Aug 24 00:33:42 2022 ] Training epoch: 106
+[ Wed Aug 24 00:34:09 2022 ] 	Training loss: 0.9597.  Training acc: 98.86%.
+[ Wed Aug 24 00:34:09 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:34:09 2022 ] Eval epoch: 106
+[ Wed Aug 24 00:34:57 2022 ] 	Mean test loss of 156 batches: 2.325507.
+[ Wed Aug 24 00:34:57 2022 ] 	Top1: 54.70%
+[ Wed Aug 24 00:34:58 2022 ] 	Top5: 82.48%
+[ Wed Aug 24 00:34:58 2022 ] Training epoch: 107
+[ Wed Aug 24 00:35:24 2022 ] 	Training loss: 0.9604.  Training acc: 98.82%.
+[ Wed Aug 24 00:35:24 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:35:24 2022 ] Eval epoch: 107
+[ Wed Aug 24 00:36:12 2022 ] 	Mean test loss of 156 batches: 2.312307.
+[ Wed Aug 24 00:36:13 2022 ] 	Top1: 55.05%
+[ Wed Aug 24 00:36:13 2022 ] 	Top5: 82.85%
+[ Wed Aug 24 00:36:14 2022 ] Training epoch: 108
+[ Wed Aug 24 00:36:39 2022 ] 	Training loss: 0.9636.  Training acc: 98.72%.
+[ Wed Aug 24 00:36:39 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:36:39 2022 ] Eval epoch: 108
+[ Wed Aug 24 00:37:24 2022 ] 	Mean test loss of 156 batches: 2.320787.
+[ Wed Aug 24 00:37:25 2022 ] 	Top1: 54.91%
+[ Wed Aug 24 00:37:25 2022 ] 	Top5: 82.63%
+[ Wed Aug 24 00:37:26 2022 ] Training epoch: 109
+[ Wed Aug 24 00:37:50 2022 ] 	Training loss: 0.9598.  Training acc: 98.72%.
+[ Wed Aug 24 00:37:50 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:37:50 2022 ] Eval epoch: 109
+[ Wed Aug 24 00:38:34 2022 ] 	Mean test loss of 156 batches: 2.316861.
+[ Wed Aug 24 00:38:35 2022 ] 	Top1: 55.04%
+[ Wed Aug 24 00:38:35 2022 ] 	Top5: 82.78%
+[ Wed Aug 24 00:38:36 2022 ] Training epoch: 110
+[ Wed Aug 24 00:39:00 2022 ] 	Training loss: 0.9590.  Training acc: 98.90%.
+[ Wed Aug 24 00:39:00 2022 ] 	Time consumption: [Data]04%, [Network]96%
+[ Wed Aug 24 00:39:00 2022 ] Eval epoch: 110
+[ Wed Aug 24 00:39:45 2022 ] 	Mean test loss of 156 batches: 2.304647.
+[ Wed Aug 24 00:39:45 2022 ] 	Top1: 55.22%
+[ Wed Aug 24 00:39:46 2022 ] 	Top5: 82.93%

ckpt/Others/InfoGCN/ntu_120_xset_LT/j/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 31278306

ckpt/Others/InfoGCN/ntu_120_xset_LT/j/log.txt

@@ -0,0 +1,775 @@
+[ Wed Aug 24 09:07:00 2022 ] using warm up, epoch: 5
+[ Wed Aug 24 09:07:17 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 120, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu120/NTU120_CSet_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': False, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_120_xset_LT/j', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 8, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 256, 'test_batch_size': 256, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Wed Aug 24 09:07:17 2022 ] # Parameters: 1572227
+[ Wed Aug 24 09:07:17 2022 ] Training epoch: 1
+[ Wed Aug 24 09:07:44 2022 ] 	Training loss: 7.4946.  Training acc: 6.56%.
+[ Wed Aug 24 09:07:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:07:44 2022 ] Eval epoch: 1
+[ Wed Aug 24 09:08:28 2022 ] 	Mean test loss of 156 batches: 5.065257.
+[ Wed Aug 24 09:08:28 2022 ] 	Top1: 3.00%
+[ Wed Aug 24 09:08:29 2022 ] 	Top5: 11.30%
+[ Wed Aug 24 09:08:30 2022 ] Training epoch: 2
+[ Wed Aug 24 09:08:54 2022 ] 	Training loss: 3.8813.  Training acc: 17.93%.
+[ Wed Aug 24 09:08:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:08:54 2022 ] Eval epoch: 2
+[ Wed Aug 24 09:09:41 2022 ] 	Mean test loss of 156 batches: 4.521974.
+[ Wed Aug 24 09:09:42 2022 ] 	Top1: 10.58%
+[ Wed Aug 24 09:09:42 2022 ] 	Top5: 27.58%
+[ Wed Aug 24 09:09:44 2022 ] Training epoch: 3
+[ Wed Aug 24 09:10:09 2022 ] 	Training loss: 3.3732.  Training acc: 25.27%.
+[ Wed Aug 24 09:10:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:10:09 2022 ] Eval epoch: 3
+[ Wed Aug 24 09:10:57 2022 ] 	Mean test loss of 156 batches: 4.301205.
+[ Wed Aug 24 09:10:58 2022 ] 	Top1: 13.28%
+[ Wed Aug 24 09:10:59 2022 ] 	Top5: 32.53%
+[ Wed Aug 24 09:11:00 2022 ] Training epoch: 4
+[ Wed Aug 24 09:11:24 2022 ] 	Training loss: 3.1432.  Training acc: 29.38%.
+[ Wed Aug 24 09:11:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:11:24 2022 ] Eval epoch: 4
+[ Wed Aug 24 09:12:12 2022 ] 	Mean test loss of 156 batches: 4.229769.
+[ Wed Aug 24 09:12:12 2022 ] 	Top1: 13.03%
+[ Wed Aug 24 09:12:13 2022 ] 	Top5: 34.96%
+[ Wed Aug 24 09:12:13 2022 ] Training epoch: 5
+[ Wed Aug 24 09:12:38 2022 ] 	Training loss: 3.0455.  Training acc: 33.04%.
+[ Wed Aug 24 09:12:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:12:38 2022 ] Eval epoch: 5
+[ Wed Aug 24 09:13:26 2022 ] 	Mean test loss of 156 batches: 3.911488.
+[ Wed Aug 24 09:13:26 2022 ] 	Top1: 18.39%
+[ Wed Aug 24 09:13:27 2022 ] 	Top5: 40.54%
+[ Wed Aug 24 09:13:28 2022 ] Training epoch: 6
+[ Wed Aug 24 09:13:52 2022 ] 	Training loss: 2.8060.  Training acc: 38.37%.
+[ Wed Aug 24 09:13:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:13:52 2022 ] Eval epoch: 6
+[ Wed Aug 24 09:14:37 2022 ] 	Mean test loss of 156 batches: 3.913627.
+[ Wed Aug 24 09:14:38 2022 ] 	Top1: 18.50%
+[ Wed Aug 24 09:14:38 2022 ] 	Top5: 40.99%
+[ Wed Aug 24 09:14:39 2022 ] Training epoch: 7
+[ Wed Aug 24 09:15:04 2022 ] 	Training loss: 2.6371.  Training acc: 43.60%.
+[ Wed Aug 24 09:15:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:15:04 2022 ] Eval epoch: 7
+[ Wed Aug 24 09:15:50 2022 ] 	Mean test loss of 156 batches: 3.727749.
+[ Wed Aug 24 09:15:52 2022 ] 	Top1: 21.95%
+[ Wed Aug 24 09:15:54 2022 ] 	Top5: 46.35%
+[ Wed Aug 24 09:15:55 2022 ] Training epoch: 8
+[ Wed Aug 24 09:16:20 2022 ] 	Training loss: 2.5398.  Training acc: 46.11%.
+[ Wed Aug 24 09:16:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:16:20 2022 ] Eval epoch: 8
+[ Wed Aug 24 09:17:09 2022 ] 	Mean test loss of 156 batches: 3.643627.
+[ Wed Aug 24 09:17:10 2022 ] 	Top1: 22.85%
+[ Wed Aug 24 09:17:11 2022 ] 	Top5: 48.02%
+[ Wed Aug 24 09:17:12 2022 ] Training epoch: 9
+[ Wed Aug 24 09:17:36 2022 ] 	Training loss: 2.4379.  Training acc: 48.57%.
+[ Wed Aug 24 09:17:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:17:36 2022 ] Eval epoch: 9
+[ Wed Aug 24 09:18:24 2022 ] 	Mean test loss of 156 batches: 3.515478.
+[ Wed Aug 24 09:18:26 2022 ] 	Top1: 25.86%
+[ Wed Aug 24 09:18:27 2022 ] 	Top5: 51.02%
+[ Wed Aug 24 09:18:28 2022 ] Training epoch: 10
+[ Wed Aug 24 09:18:52 2022 ] 	Training loss: 2.4105.  Training acc: 49.50%.
+[ Wed Aug 24 09:18:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:18:52 2022 ] Eval epoch: 10
+[ Wed Aug 24 09:19:40 2022 ] 	Mean test loss of 156 batches: 3.518222.
+[ Wed Aug 24 09:19:41 2022 ] 	Top1: 25.69%
+[ Wed Aug 24 09:19:41 2022 ] 	Top5: 51.99%
+[ Wed Aug 24 09:19:42 2022 ] Training epoch: 11
+[ Wed Aug 24 09:20:06 2022 ] 	Training loss: 2.3628.  Training acc: 50.54%.
+[ Wed Aug 24 09:20:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:20:06 2022 ] Eval epoch: 11
+[ Wed Aug 24 09:20:54 2022 ] 	Mean test loss of 156 batches: 3.335788.
+[ Wed Aug 24 09:20:56 2022 ] 	Top1: 27.24%
+[ Wed Aug 24 09:20:57 2022 ] 	Top5: 55.09%
+[ Wed Aug 24 09:20:58 2022 ] Training epoch: 12
+[ Wed Aug 24 09:21:22 2022 ] 	Training loss: 2.2964.  Training acc: 53.00%.
+[ Wed Aug 24 09:21:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:21:22 2022 ] Eval epoch: 12
+[ Wed Aug 24 09:22:10 2022 ] 	Mean test loss of 156 batches: 3.416365.
+[ Wed Aug 24 09:22:11 2022 ] 	Top1: 28.04%
+[ Wed Aug 24 09:22:12 2022 ] 	Top5: 54.18%
+[ Wed Aug 24 09:22:14 2022 ] Training epoch: 13
+[ Wed Aug 24 09:22:38 2022 ] 	Training loss: 2.2236.  Training acc: 55.12%.
+[ Wed Aug 24 09:22:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:22:38 2022 ] Eval epoch: 13
+[ Wed Aug 24 09:23:25 2022 ] 	Mean test loss of 156 batches: 3.320890.
+[ Wed Aug 24 09:23:26 2022 ] 	Top1: 28.21%
+[ Wed Aug 24 09:23:27 2022 ] 	Top5: 57.19%
+[ Wed Aug 24 09:23:30 2022 ] Training epoch: 14
+[ Wed Aug 24 09:23:54 2022 ] 	Training loss: 2.2002.  Training acc: 55.82%.
+[ Wed Aug 24 09:23:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:23:54 2022 ] Eval epoch: 14
+[ Wed Aug 24 09:24:42 2022 ] 	Mean test loss of 156 batches: 3.379721.
+[ Wed Aug 24 09:24:43 2022 ] 	Top1: 29.14%
+[ Wed Aug 24 09:24:44 2022 ] 	Top5: 54.72%
+[ Wed Aug 24 09:24:46 2022 ] Training epoch: 15
+[ Wed Aug 24 09:25:10 2022 ] 	Training loss: 2.1593.  Training acc: 57.49%.
+[ Wed Aug 24 09:25:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:25:10 2022 ] Eval epoch: 15
+[ Wed Aug 24 09:25:57 2022 ] 	Mean test loss of 156 batches: 3.270433.
+[ Wed Aug 24 09:25:58 2022 ] 	Top1: 30.51%
+[ Wed Aug 24 09:25:59 2022 ] 	Top5: 56.40%
+[ Wed Aug 24 09:26:00 2022 ] Training epoch: 16
+[ Wed Aug 24 09:26:24 2022 ] 	Training loss: 2.1284.  Training acc: 58.46%.
+[ Wed Aug 24 09:26:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:26:24 2022 ] Eval epoch: 16
+[ Wed Aug 24 09:27:15 2022 ] 	Mean test loss of 156 batches: 3.174593.
+[ Wed Aug 24 09:27:15 2022 ] 	Top1: 30.81%
+[ Wed Aug 24 09:27:16 2022 ] 	Top5: 59.63%
+[ Wed Aug 24 09:27:17 2022 ] Training epoch: 17
+[ Wed Aug 24 09:27:43 2022 ] 	Training loss: 2.1250.  Training acc: 58.15%.
+[ Wed Aug 24 09:27:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:27:43 2022 ] Eval epoch: 17
+[ Wed Aug 24 09:28:32 2022 ] 	Mean test loss of 156 batches: 3.062915.
+[ Wed Aug 24 09:28:32 2022 ] 	Top1: 33.52%
+[ Wed Aug 24 09:28:33 2022 ] 	Top5: 61.85%
+[ Wed Aug 24 09:28:34 2022 ] Training epoch: 18
+[ Wed Aug 24 09:28:58 2022 ] 	Training loss: 2.0516.  Training acc: 60.56%.
+[ Wed Aug 24 09:28:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:28:58 2022 ] Eval epoch: 18
+[ Wed Aug 24 09:29:46 2022 ] 	Mean test loss of 156 batches: 3.011769.
+[ Wed Aug 24 09:29:47 2022 ] 	Top1: 35.14%
+[ Wed Aug 24 09:29:48 2022 ] 	Top5: 63.44%
+[ Wed Aug 24 09:29:49 2022 ] Training epoch: 19
+[ Wed Aug 24 09:30:13 2022 ] 	Training loss: 2.0253.  Training acc: 61.86%.
+[ Wed Aug 24 09:30:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:30:13 2022 ] Eval epoch: 19
+[ Wed Aug 24 09:30:57 2022 ] 	Mean test loss of 156 batches: 3.042130.
+[ Wed Aug 24 09:30:58 2022 ] 	Top1: 35.22%
+[ Wed Aug 24 09:30:59 2022 ] 	Top5: 62.98%
+[ Wed Aug 24 09:31:00 2022 ] Training epoch: 20
+[ Wed Aug 24 09:31:24 2022 ] 	Training loss: 1.9899.  Training acc: 62.49%.
+[ Wed Aug 24 09:31:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:31:24 2022 ] Eval epoch: 20
+[ Wed Aug 24 09:32:12 2022 ] 	Mean test loss of 156 batches: 3.018736.
+[ Wed Aug 24 09:32:12 2022 ] 	Top1: 35.19%
+[ Wed Aug 24 09:32:14 2022 ] 	Top5: 65.00%
+[ Wed Aug 24 09:32:14 2022 ] Training epoch: 21
+[ Wed Aug 24 09:32:38 2022 ] 	Training loss: 1.9770.  Training acc: 63.06%.
+[ Wed Aug 24 09:32:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:32:38 2022 ] Eval epoch: 21
+[ Wed Aug 24 09:33:24 2022 ] 	Mean test loss of 156 batches: 3.048153.
+[ Wed Aug 24 09:33:25 2022 ] 	Top1: 33.70%
+[ Wed Aug 24 09:33:26 2022 ] 	Top5: 64.38%
+[ Wed Aug 24 09:33:27 2022 ] Training epoch: 22
+[ Wed Aug 24 09:33:50 2022 ] 	Training loss: 1.9467.  Training acc: 64.20%.
+[ Wed Aug 24 09:33:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:33:50 2022 ] Eval epoch: 22
+[ Wed Aug 24 09:34:37 2022 ] 	Mean test loss of 156 batches: 2.947125.
+[ Wed Aug 24 09:34:38 2022 ] 	Top1: 37.94%
+[ Wed Aug 24 09:34:38 2022 ] 	Top5: 67.67%
+[ Wed Aug 24 09:34:39 2022 ] Training epoch: 23
+[ Wed Aug 24 09:35:03 2022 ] 	Training loss: 1.9213.  Training acc: 65.22%.
+[ Wed Aug 24 09:35:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:35:03 2022 ] Eval epoch: 23
+[ Wed Aug 24 09:35:49 2022 ] 	Mean test loss of 156 batches: 2.813467.
+[ Wed Aug 24 09:35:50 2022 ] 	Top1: 40.13%
+[ Wed Aug 24 09:35:51 2022 ] 	Top5: 69.50%
+[ Wed Aug 24 09:35:52 2022 ] Training epoch: 24
+[ Wed Aug 24 09:36:16 2022 ] 	Training loss: 1.9093.  Training acc: 65.62%.
+[ Wed Aug 24 09:36:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:36:16 2022 ] Eval epoch: 24
+[ Wed Aug 24 09:37:02 2022 ] 	Mean test loss of 156 batches: 2.990510.
+[ Wed Aug 24 09:37:03 2022 ] 	Top1: 37.30%
+[ Wed Aug 24 09:37:04 2022 ] 	Top5: 65.32%
+[ Wed Aug 24 09:37:05 2022 ] Training epoch: 25
+[ Wed Aug 24 09:37:30 2022 ] 	Training loss: 1.8765.  Training acc: 66.40%.
+[ Wed Aug 24 09:37:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:37:30 2022 ] Eval epoch: 25
+[ Wed Aug 24 09:38:16 2022 ] 	Mean test loss of 156 batches: 2.966689.
+[ Wed Aug 24 09:38:17 2022 ] 	Top1: 37.02%
+[ Wed Aug 24 09:38:17 2022 ] 	Top5: 66.30%
+[ Wed Aug 24 09:38:18 2022 ] Training epoch: 26
+[ Wed Aug 24 09:38:42 2022 ] 	Training loss: 1.8689.  Training acc: 66.77%.
+[ Wed Aug 24 09:38:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:38:42 2022 ] Eval epoch: 26
+[ Wed Aug 24 09:39:27 2022 ] 	Mean test loss of 156 batches: 2.936920.
+[ Wed Aug 24 09:39:29 2022 ] 	Top1: 38.36%
+[ Wed Aug 24 09:39:31 2022 ] 	Top5: 67.10%
+[ Wed Aug 24 09:39:33 2022 ] Training epoch: 27
+[ Wed Aug 24 09:39:58 2022 ] 	Training loss: 1.8423.  Training acc: 67.78%.
+[ Wed Aug 24 09:39:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:39:58 2022 ] Eval epoch: 27
+[ Wed Aug 24 09:40:44 2022 ] 	Mean test loss of 156 batches: 2.943007.
+[ Wed Aug 24 09:40:46 2022 ] 	Top1: 37.66%
+[ Wed Aug 24 09:40:47 2022 ] 	Top5: 67.71%
+[ Wed Aug 24 09:40:48 2022 ] Training epoch: 28
+[ Wed Aug 24 09:41:13 2022 ] 	Training loss: 1.8245.  Training acc: 68.54%.
+[ Wed Aug 24 09:41:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:41:13 2022 ] Eval epoch: 28
+[ Wed Aug 24 09:41:58 2022 ] 	Mean test loss of 156 batches: 2.833625.
+[ Wed Aug 24 09:41:59 2022 ] 	Top1: 40.02%
+[ Wed Aug 24 09:42:00 2022 ] 	Top5: 70.44%
+[ Wed Aug 24 09:42:00 2022 ] Training epoch: 29
+[ Wed Aug 24 09:42:24 2022 ] 	Training loss: 1.7960.  Training acc: 69.45%.
+[ Wed Aug 24 09:42:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:42:24 2022 ] Eval epoch: 29
+[ Wed Aug 24 09:43:09 2022 ] 	Mean test loss of 156 batches: 2.794649.
+[ Wed Aug 24 09:43:10 2022 ] 	Top1: 40.66%
+[ Wed Aug 24 09:43:11 2022 ] 	Top5: 70.99%
+[ Wed Aug 24 09:43:12 2022 ] Training epoch: 30
+[ Wed Aug 24 09:43:36 2022 ] 	Training loss: 1.7991.  Training acc: 68.64%.
+[ Wed Aug 24 09:43:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:43:36 2022 ] Eval epoch: 30
+[ Wed Aug 24 09:44:21 2022 ] 	Mean test loss of 156 batches: 2.757293.
+[ Wed Aug 24 09:44:22 2022 ] 	Top1: 41.88%
+[ Wed Aug 24 09:44:23 2022 ] 	Top5: 71.83%
+[ Wed Aug 24 09:44:24 2022 ] Training epoch: 31
+[ Wed Aug 24 09:44:48 2022 ] 	Training loss: 1.7675.  Training acc: 69.85%.
+[ Wed Aug 24 09:44:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:44:48 2022 ] Eval epoch: 31
+[ Wed Aug 24 09:45:32 2022 ] 	Mean test loss of 156 batches: 2.783115.
+[ Wed Aug 24 09:45:32 2022 ] 	Top1: 41.05%
+[ Wed Aug 24 09:45:33 2022 ] 	Top5: 71.91%
+[ Wed Aug 24 09:45:33 2022 ] Training epoch: 32
+[ Wed Aug 24 09:45:58 2022 ] 	Training loss: 1.7474.  Training acc: 70.67%.
+[ Wed Aug 24 09:45:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:45:58 2022 ] Eval epoch: 32
+[ Wed Aug 24 09:46:43 2022 ] 	Mean test loss of 156 batches: 2.811896.
+[ Wed Aug 24 09:46:43 2022 ] 	Top1: 39.82%
+[ Wed Aug 24 09:46:44 2022 ] 	Top5: 70.55%
+[ Wed Aug 24 09:46:45 2022 ] Training epoch: 33
+[ Wed Aug 24 09:47:08 2022 ] 	Training loss: 1.7307.  Training acc: 71.38%.
+[ Wed Aug 24 09:47:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:47:08 2022 ] Eval epoch: 33
+[ Wed Aug 24 09:47:52 2022 ] 	Mean test loss of 156 batches: 2.740633.
+[ Wed Aug 24 09:47:53 2022 ] 	Top1: 42.50%
+[ Wed Aug 24 09:47:54 2022 ] 	Top5: 73.33%
+[ Wed Aug 24 09:47:55 2022 ] Training epoch: 34
+[ Wed Aug 24 09:48:19 2022 ] 	Training loss: 1.7090.  Training acc: 71.80%.
+[ Wed Aug 24 09:48:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:48:19 2022 ] Eval epoch: 34
+[ Wed Aug 24 09:49:03 2022 ] 	Mean test loss of 156 batches: 2.688942.
+[ Wed Aug 24 09:49:04 2022 ] 	Top1: 42.51%
+[ Wed Aug 24 09:49:04 2022 ] 	Top5: 74.44%
+[ Wed Aug 24 09:49:05 2022 ] Training epoch: 35
+[ Wed Aug 24 09:49:30 2022 ] 	Training loss: 1.6793.  Training acc: 73.02%.
+[ Wed Aug 24 09:49:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:49:30 2022 ] Eval epoch: 35
+[ Wed Aug 24 09:50:16 2022 ] 	Mean test loss of 156 batches: 2.711343.
+[ Wed Aug 24 09:50:17 2022 ] 	Top1: 42.92%
+[ Wed Aug 24 09:50:17 2022 ] 	Top5: 73.52%
+[ Wed Aug 24 09:50:18 2022 ] Training epoch: 36
+[ Wed Aug 24 09:50:43 2022 ] 	Training loss: 1.6608.  Training acc: 73.98%.
+[ Wed Aug 24 09:50:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:50:43 2022 ] Eval epoch: 36
+[ Wed Aug 24 09:51:27 2022 ] 	Mean test loss of 156 batches: 2.748274.
+[ Wed Aug 24 09:51:27 2022 ] 	Top1: 42.81%
+[ Wed Aug 24 09:51:28 2022 ] 	Top5: 72.45%
+[ Wed Aug 24 09:51:28 2022 ] Training epoch: 37
+[ Wed Aug 24 09:51:52 2022 ] 	Training loss: 1.6389.  Training acc: 74.62%.
+[ Wed Aug 24 09:51:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:51:52 2022 ] Eval epoch: 37
+[ Wed Aug 24 09:52:42 2022 ] 	Mean test loss of 156 batches: 2.642169.
+[ Wed Aug 24 09:52:42 2022 ] 	Top1: 44.67%
+[ Wed Aug 24 09:52:43 2022 ] 	Top5: 77.11%
+[ Wed Aug 24 09:52:44 2022 ] Training epoch: 38
+[ Wed Aug 24 09:53:08 2022 ] 	Training loss: 1.6435.  Training acc: 74.31%.
+[ Wed Aug 24 09:53:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:53:08 2022 ] Eval epoch: 38
+[ Wed Aug 24 09:53:52 2022 ] 	Mean test loss of 156 batches: 2.601499.
+[ Wed Aug 24 09:53:53 2022 ] 	Top1: 44.88%
+[ Wed Aug 24 09:53:54 2022 ] 	Top5: 78.29%
+[ Wed Aug 24 09:53:55 2022 ] Training epoch: 39
+[ Wed Aug 24 09:54:19 2022 ] 	Training loss: 1.6166.  Training acc: 75.16%.
+[ Wed Aug 24 09:54:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:54:19 2022 ] Eval epoch: 39
+[ Wed Aug 24 09:55:04 2022 ] 	Mean test loss of 156 batches: 2.669852.
+[ Wed Aug 24 09:55:05 2022 ] 	Top1: 43.91%
+[ Wed Aug 24 09:55:06 2022 ] 	Top5: 76.90%
+[ Wed Aug 24 09:55:08 2022 ] Training epoch: 40
+[ Wed Aug 24 09:55:32 2022 ] 	Training loss: 1.6027.  Training acc: 75.47%.
+[ Wed Aug 24 09:55:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:55:32 2022 ] Eval epoch: 40
+[ Wed Aug 24 09:56:16 2022 ] 	Mean test loss of 156 batches: 2.607328.
+[ Wed Aug 24 09:56:17 2022 ] 	Top1: 46.42%
+[ Wed Aug 24 09:56:18 2022 ] 	Top5: 77.71%
+[ Wed Aug 24 09:56:20 2022 ] Training epoch: 41
+[ Wed Aug 24 09:56:44 2022 ] 	Training loss: 1.5829.  Training acc: 76.43%.
+[ Wed Aug 24 09:56:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:56:44 2022 ] Eval epoch: 41
+[ Wed Aug 24 09:57:29 2022 ] 	Mean test loss of 156 batches: 2.555539.
+[ Wed Aug 24 09:57:30 2022 ] 	Top1: 46.70%
+[ Wed Aug 24 09:57:31 2022 ] 	Top5: 78.60%
+[ Wed Aug 24 09:57:31 2022 ] Training epoch: 42
+[ Wed Aug 24 09:57:55 2022 ] 	Training loss: 1.5759.  Training acc: 76.81%.
+[ Wed Aug 24 09:57:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:57:55 2022 ] Eval epoch: 42
+[ Wed Aug 24 09:58:40 2022 ] 	Mean test loss of 156 batches: 2.632407.
+[ Wed Aug 24 09:58:41 2022 ] 	Top1: 44.63%
+[ Wed Aug 24 09:58:41 2022 ] 	Top5: 77.32%
+[ Wed Aug 24 09:58:42 2022 ] Training epoch: 43
+[ Wed Aug 24 09:59:06 2022 ] 	Training loss: 1.5674.  Training acc: 76.72%.
+[ Wed Aug 24 09:59:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:59:06 2022 ] Eval epoch: 43
+[ Wed Aug 24 09:59:51 2022 ] 	Mean test loss of 156 batches: 2.574450.
+[ Wed Aug 24 09:59:53 2022 ] 	Top1: 46.46%
+[ Wed Aug 24 09:59:53 2022 ] 	Top5: 78.20%
+[ Wed Aug 24 09:59:54 2022 ] Training epoch: 44
+[ Wed Aug 24 10:00:18 2022 ] 	Training loss: 1.5452.  Training acc: 77.59%.
+[ Wed Aug 24 10:00:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:00:18 2022 ] Eval epoch: 44
+[ Wed Aug 24 10:01:03 2022 ] 	Mean test loss of 156 batches: 2.721241.
+[ Wed Aug 24 10:01:04 2022 ] 	Top1: 43.50%
+[ Wed Aug 24 10:01:04 2022 ] 	Top5: 74.96%
+[ Wed Aug 24 10:01:05 2022 ] Training epoch: 45
+[ Wed Aug 24 10:01:29 2022 ] 	Training loss: 1.5367.  Training acc: 78.04%.
+[ Wed Aug 24 10:01:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:01:29 2022 ] Eval epoch: 45
+[ Wed Aug 24 10:02:14 2022 ] 	Mean test loss of 156 batches: 2.534418.
+[ Wed Aug 24 10:02:16 2022 ] 	Top1: 47.29%
+[ Wed Aug 24 10:02:16 2022 ] 	Top5: 79.43%
+[ Wed Aug 24 10:02:17 2022 ] Training epoch: 46
+[ Wed Aug 24 10:02:42 2022 ] 	Training loss: 1.5158.  Training acc: 78.84%.
+[ Wed Aug 24 10:02:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:02:42 2022 ] Eval epoch: 46
+[ Wed Aug 24 10:03:27 2022 ] 	Mean test loss of 156 batches: 2.710244.
+[ Wed Aug 24 10:03:30 2022 ] 	Top1: 43.91%
+[ Wed Aug 24 10:03:32 2022 ] 	Top5: 75.88%
+[ Wed Aug 24 10:03:34 2022 ] Training epoch: 47
+[ Wed Aug 24 10:03:57 2022 ] 	Training loss: 1.4992.  Training acc: 79.42%.
+[ Wed Aug 24 10:03:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:03:57 2022 ] Eval epoch: 47
+[ Wed Aug 24 10:04:45 2022 ] 	Mean test loss of 156 batches: 2.522908.
+[ Wed Aug 24 10:04:46 2022 ] 	Top1: 48.26%
+[ Wed Aug 24 10:04:46 2022 ] 	Top5: 79.41%
+[ Wed Aug 24 10:04:47 2022 ] Training epoch: 48
+[ Wed Aug 24 10:05:11 2022 ] 	Training loss: 1.4782.  Training acc: 79.91%.
+[ Wed Aug 24 10:05:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:05:11 2022 ] Eval epoch: 48
+[ Wed Aug 24 10:05:59 2022 ] 	Mean test loss of 156 batches: 2.560890.
+[ Wed Aug 24 10:05:59 2022 ] 	Top1: 46.94%
+[ Wed Aug 24 10:06:00 2022 ] 	Top5: 78.01%
+[ Wed Aug 24 10:06:01 2022 ] Training epoch: 49
+[ Wed Aug 24 10:06:25 2022 ] 	Training loss: 1.4760.  Training acc: 80.21%.
+[ Wed Aug 24 10:06:25 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:06:25 2022 ] Eval epoch: 49
+[ Wed Aug 24 10:07:14 2022 ] 	Mean test loss of 156 batches: 2.605872.
+[ Wed Aug 24 10:07:14 2022 ] 	Top1: 46.01%
+[ Wed Aug 24 10:07:15 2022 ] 	Top5: 77.15%
+[ Wed Aug 24 10:07:15 2022 ] Training epoch: 50
+[ Wed Aug 24 10:07:41 2022 ] 	Training loss: 1.4627.  Training acc: 80.60%.
+[ Wed Aug 24 10:07:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:07:41 2022 ] Eval epoch: 50
+[ Wed Aug 24 10:08:28 2022 ] 	Mean test loss of 156 batches: 2.581054.
+[ Wed Aug 24 10:08:28 2022 ] 	Top1: 46.81%
+[ Wed Aug 24 10:08:29 2022 ] 	Top5: 78.32%
+[ Wed Aug 24 10:08:29 2022 ] Training epoch: 51
+[ Wed Aug 24 10:08:53 2022 ] 	Training loss: 1.4509.  Training acc: 81.18%.
+[ Wed Aug 24 10:08:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:08:53 2022 ] Eval epoch: 51
+[ Wed Aug 24 10:09:40 2022 ] 	Mean test loss of 156 batches: 2.477646.
+[ Wed Aug 24 10:09:41 2022 ] 	Top1: 49.24%
+[ Wed Aug 24 10:09:41 2022 ] 	Top5: 80.29%
+[ Wed Aug 24 10:09:42 2022 ] Training epoch: 52
+[ Wed Aug 24 10:10:06 2022 ] 	Training loss: 1.4256.  Training acc: 82.26%.
+[ Wed Aug 24 10:10:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:10:06 2022 ] Eval epoch: 52
+[ Wed Aug 24 10:10:53 2022 ] 	Mean test loss of 156 batches: 2.679171.
+[ Wed Aug 24 10:10:54 2022 ] 	Top1: 46.01%
+[ Wed Aug 24 10:10:55 2022 ] 	Top5: 77.66%
+[ Wed Aug 24 10:10:55 2022 ] Training epoch: 53
+[ Wed Aug 24 10:11:20 2022 ] 	Training loss: 1.4134.  Training acc: 82.50%.
+[ Wed Aug 24 10:11:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:11:20 2022 ] Eval epoch: 53
+[ Wed Aug 24 10:12:10 2022 ] 	Mean test loss of 156 batches: 2.557616.
+[ Wed Aug 24 10:12:11 2022 ] 	Top1: 46.75%
+[ Wed Aug 24 10:12:11 2022 ] 	Top5: 79.38%
+[ Wed Aug 24 10:12:12 2022 ] Training epoch: 54
+[ Wed Aug 24 10:12:36 2022 ] 	Training loss: 1.4129.  Training acc: 82.51%.
+[ Wed Aug 24 10:12:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:12:36 2022 ] Eval epoch: 54
+[ Wed Aug 24 10:13:25 2022 ] 	Mean test loss of 156 batches: 2.555339.
+[ Wed Aug 24 10:13:26 2022 ] 	Top1: 47.47%
+[ Wed Aug 24 10:13:26 2022 ] 	Top5: 79.00%
+[ Wed Aug 24 10:13:27 2022 ] Training epoch: 55
+[ Wed Aug 24 10:13:51 2022 ] 	Training loss: 1.3874.  Training acc: 83.44%.
+[ Wed Aug 24 10:13:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:13:51 2022 ] Eval epoch: 55
+[ Wed Aug 24 10:14:39 2022 ] 	Mean test loss of 156 batches: 2.449064.
+[ Wed Aug 24 10:14:40 2022 ] 	Top1: 50.48%
+[ Wed Aug 24 10:14:40 2022 ] 	Top5: 80.73%
+[ Wed Aug 24 10:14:41 2022 ] Training epoch: 56
+[ Wed Aug 24 10:15:05 2022 ] 	Training loss: 1.3802.  Training acc: 83.43%.
+[ Wed Aug 24 10:15:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:15:05 2022 ] Eval epoch: 56
+[ Wed Aug 24 10:15:50 2022 ] 	Mean test loss of 156 batches: 2.490263.
+[ Wed Aug 24 10:15:51 2022 ] 	Top1: 49.48%
+[ Wed Aug 24 10:15:52 2022 ] 	Top5: 81.06%
+[ Wed Aug 24 10:15:53 2022 ] Training epoch: 57
+[ Wed Aug 24 10:16:16 2022 ] 	Training loss: 1.3743.  Training acc: 84.23%.
+[ Wed Aug 24 10:16:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:16:16 2022 ] Eval epoch: 57
+[ Wed Aug 24 10:17:01 2022 ] 	Mean test loss of 156 batches: 2.436911.
+[ Wed Aug 24 10:17:02 2022 ] 	Top1: 52.13%
+[ Wed Aug 24 10:17:02 2022 ] 	Top5: 81.78%
+[ Wed Aug 24 10:17:03 2022 ] Training epoch: 58
+[ Wed Aug 24 10:17:27 2022 ] 	Training loss: 1.3606.  Training acc: 84.66%.
+[ Wed Aug 24 10:17:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:17:27 2022 ] Eval epoch: 58
+[ Wed Aug 24 10:18:13 2022 ] 	Mean test loss of 156 batches: 2.417441.
+[ Wed Aug 24 10:18:13 2022 ] 	Top1: 51.75%
+[ Wed Aug 24 10:18:14 2022 ] 	Top5: 81.52%
+[ Wed Aug 24 10:18:14 2022 ] Training epoch: 59
+[ Wed Aug 24 10:18:38 2022 ] 	Training loss: 1.3620.  Training acc: 84.19%.
+[ Wed Aug 24 10:18:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:18:38 2022 ] Eval epoch: 59
+[ Wed Aug 24 10:19:26 2022 ] 	Mean test loss of 156 batches: 2.487752.
+[ Wed Aug 24 10:19:26 2022 ] 	Top1: 50.39%
+[ Wed Aug 24 10:19:27 2022 ] 	Top5: 80.38%
+[ Wed Aug 24 10:19:27 2022 ] Training epoch: 60
+[ Wed Aug 24 10:19:51 2022 ] 	Training loss: 1.3432.  Training acc: 85.15%.
+[ Wed Aug 24 10:19:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:19:51 2022 ] Eval epoch: 60
+[ Wed Aug 24 10:20:35 2022 ] 	Mean test loss of 156 batches: 2.473926.
+[ Wed Aug 24 10:20:36 2022 ] 	Top1: 50.18%
+[ Wed Aug 24 10:20:36 2022 ] 	Top5: 81.36%
+[ Wed Aug 24 10:20:37 2022 ] Training epoch: 61
+[ Wed Aug 24 10:21:01 2022 ] 	Training loss: 1.3122.  Training acc: 85.96%.
+[ Wed Aug 24 10:21:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:21:01 2022 ] Eval epoch: 61
+[ Wed Aug 24 10:21:48 2022 ] 	Mean test loss of 156 batches: 2.501427.
+[ Wed Aug 24 10:21:48 2022 ] 	Top1: 50.09%
+[ Wed Aug 24 10:21:49 2022 ] 	Top5: 80.78%
+[ Wed Aug 24 10:21:49 2022 ] Training epoch: 62
+[ Wed Aug 24 10:22:13 2022 ] 	Training loss: 1.3217.  Training acc: 85.75%.
+[ Wed Aug 24 10:22:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:22:13 2022 ] Eval epoch: 62
+[ Wed Aug 24 10:23:01 2022 ] 	Mean test loss of 156 batches: 2.428148.
+[ Wed Aug 24 10:23:02 2022 ] 	Top1: 51.23%
+[ Wed Aug 24 10:23:02 2022 ] 	Top5: 81.53%
+[ Wed Aug 24 10:23:03 2022 ] Training epoch: 63
+[ Wed Aug 24 10:23:27 2022 ] 	Training loss: 1.3182.  Training acc: 85.71%.
+[ Wed Aug 24 10:23:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:23:27 2022 ] Eval epoch: 63
+[ Wed Aug 24 10:24:16 2022 ] 	Mean test loss of 156 batches: 2.481689.
+[ Wed Aug 24 10:24:16 2022 ] 	Top1: 50.21%
+[ Wed Aug 24 10:24:17 2022 ] 	Top5: 80.92%
+[ Wed Aug 24 10:24:17 2022 ] Training epoch: 64
+[ Wed Aug 24 10:24:41 2022 ] 	Training loss: 1.2967.  Training acc: 87.00%.
+[ Wed Aug 24 10:24:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:24:41 2022 ] Eval epoch: 64
+[ Wed Aug 24 10:25:28 2022 ] 	Mean test loss of 156 batches: 2.383764.
+[ Wed Aug 24 10:25:29 2022 ] 	Top1: 52.56%
+[ Wed Aug 24 10:25:29 2022 ] 	Top5: 82.30%
+[ Wed Aug 24 10:25:30 2022 ] Training epoch: 65
+[ Wed Aug 24 10:25:54 2022 ] 	Training loss: 1.2834.  Training acc: 87.33%.
+[ Wed Aug 24 10:25:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:25:54 2022 ] Eval epoch: 65
+[ Wed Aug 24 10:26:41 2022 ] 	Mean test loss of 156 batches: 2.443359.
+[ Wed Aug 24 10:26:42 2022 ] 	Top1: 51.37%
+[ Wed Aug 24 10:26:42 2022 ] 	Top5: 81.77%
+[ Wed Aug 24 10:26:43 2022 ] Training epoch: 66
+[ Wed Aug 24 10:27:07 2022 ] 	Training loss: 1.2886.  Training acc: 86.88%.
+[ Wed Aug 24 10:27:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:27:07 2022 ] Eval epoch: 66
+[ Wed Aug 24 10:27:55 2022 ] 	Mean test loss of 156 batches: 2.447844.
+[ Wed Aug 24 10:27:56 2022 ] 	Top1: 51.59%
+[ Wed Aug 24 10:27:56 2022 ] 	Top5: 80.73%
+[ Wed Aug 24 10:27:57 2022 ] Training epoch: 67
+[ Wed Aug 24 10:28:20 2022 ] 	Training loss: 1.2646.  Training acc: 88.27%.
+[ Wed Aug 24 10:28:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:28:20 2022 ] Eval epoch: 67
+[ Wed Aug 24 10:29:06 2022 ] 	Mean test loss of 156 batches: 2.698914.
+[ Wed Aug 24 10:29:06 2022 ] 	Top1: 47.05%
+[ Wed Aug 24 10:29:07 2022 ] 	Top5: 77.02%
+[ Wed Aug 24 10:29:07 2022 ] Training epoch: 68
+[ Wed Aug 24 10:29:31 2022 ] 	Training loss: 1.2685.  Training acc: 87.69%.
+[ Wed Aug 24 10:29:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:29:31 2022 ] Eval epoch: 68
+[ Wed Aug 24 10:30:19 2022 ] 	Mean test loss of 156 batches: 2.376942.
+[ Wed Aug 24 10:30:20 2022 ] 	Top1: 53.19%
+[ Wed Aug 24 10:30:20 2022 ] 	Top5: 83.53%
+[ Wed Aug 24 10:30:21 2022 ] Training epoch: 69
+[ Wed Aug 24 10:30:44 2022 ] 	Training loss: 1.2476.  Training acc: 88.99%.
+[ Wed Aug 24 10:30:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:30:44 2022 ] Eval epoch: 69
+[ Wed Aug 24 10:31:33 2022 ] 	Mean test loss of 156 batches: 2.500915.
+[ Wed Aug 24 10:31:33 2022 ] 	Top1: 50.81%
+[ Wed Aug 24 10:31:34 2022 ] 	Top5: 80.89%
+[ Wed Aug 24 10:31:34 2022 ] Training epoch: 70
+[ Wed Aug 24 10:31:58 2022 ] 	Training loss: 1.2402.  Training acc: 88.81%.
+[ Wed Aug 24 10:31:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:31:58 2022 ] Eval epoch: 70
+[ Wed Aug 24 10:32:59 2022 ] 	Mean test loss of 156 batches: 2.512409.
+[ Wed Aug 24 10:33:00 2022 ] 	Top1: 50.51%
+[ Wed Aug 24 10:33:00 2022 ] 	Top5: 80.97%
+[ Wed Aug 24 10:33:01 2022 ] Training epoch: 71
+[ Wed Aug 24 10:33:25 2022 ] 	Training loss: 1.2300.  Training acc: 89.55%.
+[ Wed Aug 24 10:33:25 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:33:25 2022 ] Eval epoch: 71
+[ Wed Aug 24 10:34:09 2022 ] 	Mean test loss of 156 batches: 2.376063.
+[ Wed Aug 24 10:34:09 2022 ] 	Top1: 53.41%
+[ Wed Aug 24 10:34:10 2022 ] 	Top5: 82.82%
+[ Wed Aug 24 10:34:11 2022 ] Training epoch: 72
+[ Wed Aug 24 10:34:35 2022 ] 	Training loss: 1.2285.  Training acc: 89.38%.
+[ Wed Aug 24 10:34:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:34:35 2022 ] Eval epoch: 72
+[ Wed Aug 24 10:35:21 2022 ] 	Mean test loss of 156 batches: 2.355096.
+[ Wed Aug 24 10:35:21 2022 ] 	Top1: 54.04%
+[ Wed Aug 24 10:35:22 2022 ] 	Top5: 83.17%
+[ Wed Aug 24 10:35:22 2022 ] Training epoch: 73
+[ Wed Aug 24 10:35:46 2022 ] 	Training loss: 1.2209.  Training acc: 89.79%.
+[ Wed Aug 24 10:35:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:35:46 2022 ] Eval epoch: 73
+[ Wed Aug 24 10:36:33 2022 ] 	Mean test loss of 156 batches: 2.596001.
+[ Wed Aug 24 10:36:33 2022 ] 	Top1: 48.33%
+[ Wed Aug 24 10:36:34 2022 ] 	Top5: 79.50%
+[ Wed Aug 24 10:36:34 2022 ] Training epoch: 74
+[ Wed Aug 24 10:36:58 2022 ] 	Training loss: 1.2304.  Training acc: 89.03%.
+[ Wed Aug 24 10:36:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:36:58 2022 ] Eval epoch: 74
+[ Wed Aug 24 10:37:48 2022 ] 	Mean test loss of 156 batches: 2.334497.
+[ Wed Aug 24 10:37:49 2022 ] 	Top1: 55.41%
+[ Wed Aug 24 10:37:49 2022 ] 	Top5: 83.47%
+[ Wed Aug 24 10:37:50 2022 ] Training epoch: 75
+[ Wed Aug 24 10:38:15 2022 ] 	Training loss: 1.2186.  Training acc: 89.67%.
+[ Wed Aug 24 10:38:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:38:15 2022 ] Eval epoch: 75
+[ Wed Aug 24 10:39:10 2022 ] 	Mean test loss of 156 batches: 2.395454.
+[ Wed Aug 24 10:39:10 2022 ] 	Top1: 53.22%
+[ Wed Aug 24 10:39:11 2022 ] 	Top5: 83.22%
+[ Wed Aug 24 10:39:11 2022 ] Training epoch: 76
+[ Wed Aug 24 10:39:36 2022 ] 	Training loss: 1.2103.  Training acc: 90.06%.
+[ Wed Aug 24 10:39:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:39:36 2022 ] Eval epoch: 76
+[ Wed Aug 24 10:40:34 2022 ] 	Mean test loss of 156 batches: 2.495067.
+[ Wed Aug 24 10:40:34 2022 ] 	Top1: 49.92%
+[ Wed Aug 24 10:40:35 2022 ] 	Top5: 81.29%
+[ Wed Aug 24 10:40:35 2022 ] Training epoch: 77
+[ Wed Aug 24 10:40:59 2022 ] 	Training loss: 1.1993.  Training acc: 90.31%.
+[ Wed Aug 24 10:40:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:40:59 2022 ] Eval epoch: 77
+[ Wed Aug 24 10:41:47 2022 ] 	Mean test loss of 156 batches: 2.414224.
+[ Wed Aug 24 10:41:47 2022 ] 	Top1: 52.28%
+[ Wed Aug 24 10:41:48 2022 ] 	Top5: 82.10%
+[ Wed Aug 24 10:41:48 2022 ] Training epoch: 78
+[ Wed Aug 24 10:42:12 2022 ] 	Training loss: 1.1795.  Training acc: 91.62%.
+[ Wed Aug 24 10:42:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:42:12 2022 ] Eval epoch: 78
+[ Wed Aug 24 10:43:00 2022 ] 	Mean test loss of 156 batches: 2.538881.
+[ Wed Aug 24 10:43:01 2022 ] 	Top1: 49.78%
+[ Wed Aug 24 10:43:01 2022 ] 	Top5: 79.63%
+[ Wed Aug 24 10:43:02 2022 ] Training epoch: 79
+[ Wed Aug 24 10:43:26 2022 ] 	Training loss: 1.1976.  Training acc: 90.34%.
+[ Wed Aug 24 10:43:26 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:43:26 2022 ] Eval epoch: 79
+[ Wed Aug 24 10:44:13 2022 ] 	Mean test loss of 156 batches: 2.479685.
+[ Wed Aug 24 10:44:14 2022 ] 	Top1: 51.79%
+[ Wed Aug 24 10:44:14 2022 ] 	Top5: 81.41%
+[ Wed Aug 24 10:44:15 2022 ] Training epoch: 80
+[ Wed Aug 24 10:44:39 2022 ] 	Training loss: 1.2011.  Training acc: 90.26%.
+[ Wed Aug 24 10:44:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:44:39 2022 ] Eval epoch: 80
+[ Wed Aug 24 10:45:26 2022 ] 	Mean test loss of 156 batches: 2.583693.
+[ Wed Aug 24 10:45:27 2022 ] 	Top1: 48.73%
+[ Wed Aug 24 10:45:27 2022 ] 	Top5: 78.60%
+[ Wed Aug 24 10:45:28 2022 ] Training epoch: 81
+[ Wed Aug 24 10:45:52 2022 ] 	Training loss: 1.1745.  Training acc: 91.06%.
+[ Wed Aug 24 10:45:52 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:45:52 2022 ] Eval epoch: 81
+[ Wed Aug 24 10:46:40 2022 ] 	Mean test loss of 156 batches: 2.537371.
+[ Wed Aug 24 10:46:41 2022 ] 	Top1: 50.70%
+[ Wed Aug 24 10:46:41 2022 ] 	Top5: 79.45%
+[ Wed Aug 24 10:46:42 2022 ] Training epoch: 82
+[ Wed Aug 24 10:47:06 2022 ] 	Training loss: 1.1719.  Training acc: 91.62%.
+[ Wed Aug 24 10:47:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:47:06 2022 ] Eval epoch: 82
+[ Wed Aug 24 10:47:54 2022 ] 	Mean test loss of 156 batches: 2.552939.
+[ Wed Aug 24 10:47:55 2022 ] 	Top1: 49.57%
+[ Wed Aug 24 10:47:55 2022 ] 	Top5: 79.17%
+[ Wed Aug 24 10:47:56 2022 ] Training epoch: 83
+[ Wed Aug 24 10:48:20 2022 ] 	Training loss: 1.1630.  Training acc: 91.82%.
+[ Wed Aug 24 10:48:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:48:20 2022 ] Eval epoch: 83
+[ Wed Aug 24 10:49:08 2022 ] 	Mean test loss of 156 batches: 2.487806.
+[ Wed Aug 24 10:49:09 2022 ] 	Top1: 50.85%
+[ Wed Aug 24 10:49:09 2022 ] 	Top5: 80.96%
+[ Wed Aug 24 10:49:10 2022 ] Training epoch: 84
+[ Wed Aug 24 10:49:33 2022 ] 	Training loss: 1.1630.  Training acc: 91.86%.
+[ Wed Aug 24 10:49:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:49:33 2022 ] Eval epoch: 84
+[ Wed Aug 24 10:50:21 2022 ] 	Mean test loss of 156 batches: 2.455577.
+[ Wed Aug 24 10:50:22 2022 ] 	Top1: 53.17%
+[ Wed Aug 24 10:50:22 2022 ] 	Top5: 81.14%
+[ Wed Aug 24 10:50:23 2022 ] Training epoch: 85
+[ Wed Aug 24 10:50:47 2022 ] 	Training loss: 1.1582.  Training acc: 91.90%.
+[ Wed Aug 24 10:50:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:50:47 2022 ] Eval epoch: 85
+[ Wed Aug 24 10:51:34 2022 ] 	Mean test loss of 156 batches: 2.482957.
+[ Wed Aug 24 10:51:35 2022 ] 	Top1: 52.34%
+[ Wed Aug 24 10:51:35 2022 ] 	Top5: 81.47%
+[ Wed Aug 24 10:51:36 2022 ] Training epoch: 86
+[ Wed Aug 24 10:51:59 2022 ] 	Training loss: 1.1383.  Training acc: 92.65%.
+[ Wed Aug 24 10:51:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:51:59 2022 ] Eval epoch: 86
+[ Wed Aug 24 10:52:49 2022 ] 	Mean test loss of 156 batches: 2.360266.
+[ Wed Aug 24 10:52:49 2022 ] 	Top1: 55.37%
+[ Wed Aug 24 10:52:50 2022 ] 	Top5: 83.22%
+[ Wed Aug 24 10:52:50 2022 ] Training epoch: 87
+[ Wed Aug 24 10:53:14 2022 ] 	Training loss: 1.1453.  Training acc: 92.31%.
+[ Wed Aug 24 10:53:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:53:14 2022 ] Eval epoch: 87
+[ Wed Aug 24 10:54:01 2022 ] 	Mean test loss of 156 batches: 2.501024.
+[ Wed Aug 24 10:54:02 2022 ] 	Top1: 51.41%
+[ Wed Aug 24 10:54:02 2022 ] 	Top5: 81.63%
+[ Wed Aug 24 10:54:03 2022 ] Training epoch: 88
+[ Wed Aug 24 10:54:26 2022 ] 	Training loss: 1.1287.  Training acc: 93.39%.
+[ Wed Aug 24 10:54:26 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:54:26 2022 ] Eval epoch: 88
+[ Wed Aug 24 10:55:14 2022 ] 	Mean test loss of 156 batches: 2.483155.
+[ Wed Aug 24 10:55:15 2022 ] 	Top1: 52.21%
+[ Wed Aug 24 10:55:15 2022 ] 	Top5: 81.64%
+[ Wed Aug 24 10:55:16 2022 ] Training epoch: 89
+[ Wed Aug 24 10:55:39 2022 ] 	Training loss: 1.1179.  Training acc: 93.44%.
+[ Wed Aug 24 10:55:39 2022 ] 	Time consumption: [Data]02%, [Network]97%
+[ Wed Aug 24 10:55:39 2022 ] Eval epoch: 89
+[ Wed Aug 24 10:56:25 2022 ] 	Mean test loss of 156 batches: 2.374728.
+[ Wed Aug 24 10:56:25 2022 ] 	Top1: 55.61%
+[ Wed Aug 24 10:56:26 2022 ] 	Top5: 83.61%
+[ Wed Aug 24 10:56:27 2022 ] Training epoch: 90
+[ Wed Aug 24 10:56:51 2022 ] 	Training loss: 1.1253.  Training acc: 93.34%.
+[ Wed Aug 24 10:56:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:56:51 2022 ] Eval epoch: 90
+[ Wed Aug 24 10:57:40 2022 ] 	Mean test loss of 156 batches: 2.345534.
+[ Wed Aug 24 10:57:41 2022 ] 	Top1: 56.11%
+[ Wed Aug 24 10:57:41 2022 ] 	Top5: 83.19%
+[ Wed Aug 24 10:57:42 2022 ] Training epoch: 91
+[ Wed Aug 24 10:58:06 2022 ] 	Training loss: 1.0389.  Training acc: 96.43%.
+[ Wed Aug 24 10:58:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:58:06 2022 ] Eval epoch: 91
+[ Wed Aug 24 10:58:54 2022 ] 	Mean test loss of 156 batches: 2.260650.
+[ Wed Aug 24 10:58:55 2022 ] 	Top1: 56.87%
+[ Wed Aug 24 10:58:55 2022 ] 	Top5: 84.46%
+[ Wed Aug 24 10:58:56 2022 ] Training epoch: 92
+[ Wed Aug 24 10:59:20 2022 ] 	Training loss: 0.9969.  Training acc: 97.75%.
+[ Wed Aug 24 10:59:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:59:20 2022 ] Eval epoch: 92
+[ Wed Aug 24 11:00:11 2022 ] 	Mean test loss of 156 batches: 2.215120.
+[ Wed Aug 24 11:00:12 2022 ] 	Top1: 58.42%
+[ Wed Aug 24 11:00:12 2022 ] 	Top5: 85.40%
+[ Wed Aug 24 11:00:13 2022 ] Training epoch: 93
+[ Wed Aug 24 11:00:37 2022 ] 	Training loss: 0.9824.  Training acc: 98.22%.
+[ Wed Aug 24 11:00:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:00:37 2022 ] Eval epoch: 93
+[ Wed Aug 24 11:01:26 2022 ] 	Mean test loss of 156 batches: 2.236764.
+[ Wed Aug 24 11:01:26 2022 ] 	Top1: 57.75%
+[ Wed Aug 24 11:01:27 2022 ] 	Top5: 84.81%
+[ Wed Aug 24 11:01:27 2022 ] Training epoch: 94
+[ Wed Aug 24 11:01:51 2022 ] 	Training loss: 0.9705.  Training acc: 98.43%.
+[ Wed Aug 24 11:01:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:01:51 2022 ] Eval epoch: 94
+[ Wed Aug 24 11:02:41 2022 ] 	Mean test loss of 156 batches: 2.224403.
+[ Wed Aug 24 11:02:42 2022 ] 	Top1: 58.17%
+[ Wed Aug 24 11:02:42 2022 ] 	Top5: 85.09%
+[ Wed Aug 24 11:02:43 2022 ] Training epoch: 95
+[ Wed Aug 24 11:03:07 2022 ] 	Training loss: 0.9672.  Training acc: 98.59%.
+[ Wed Aug 24 11:03:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:03:07 2022 ] Eval epoch: 95
+[ Wed Aug 24 11:03:57 2022 ] 	Mean test loss of 156 batches: 2.230012.
+[ Wed Aug 24 11:03:58 2022 ] 	Top1: 58.05%
+[ Wed Aug 24 11:03:58 2022 ] 	Top5: 85.01%
+[ Wed Aug 24 11:03:59 2022 ] Training epoch: 96
+[ Wed Aug 24 11:04:22 2022 ] 	Training loss: 0.9618.  Training acc: 98.75%.
+[ Wed Aug 24 11:04:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:04:22 2022 ] Eval epoch: 96
+[ Wed Aug 24 11:05:11 2022 ] 	Mean test loss of 156 batches: 2.240725.
+[ Wed Aug 24 11:05:11 2022 ] 	Top1: 57.67%
+[ Wed Aug 24 11:05:12 2022 ] 	Top5: 84.75%
+[ Wed Aug 24 11:05:12 2022 ] Training epoch: 97
+[ Wed Aug 24 11:05:36 2022 ] 	Training loss: 0.9572.  Training acc: 98.82%.
+[ Wed Aug 24 11:05:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:05:36 2022 ] Eval epoch: 97
+[ Wed Aug 24 11:06:26 2022 ] 	Mean test loss of 156 batches: 2.228001.
+[ Wed Aug 24 11:06:27 2022 ] 	Top1: 58.11%
+[ Wed Aug 24 11:06:28 2022 ] 	Top5: 85.12%
+[ Wed Aug 24 11:06:28 2022 ] Training epoch: 98
+[ Wed Aug 24 11:06:52 2022 ] 	Training loss: 0.9538.  Training acc: 98.92%.
+[ Wed Aug 24 11:06:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:06:52 2022 ] Eval epoch: 98
+[ Wed Aug 24 11:07:41 2022 ] 	Mean test loss of 156 batches: 2.211757.
+[ Wed Aug 24 11:07:41 2022 ] 	Top1: 58.43%
+[ Wed Aug 24 11:07:42 2022 ] 	Top5: 85.19%
+[ Wed Aug 24 11:07:43 2022 ] Training epoch: 99
+[ Wed Aug 24 11:08:06 2022 ] 	Training loss: 0.9544.  Training acc: 98.91%.
+[ Wed Aug 24 11:08:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:08:06 2022 ] Eval epoch: 99
+[ Wed Aug 24 11:08:54 2022 ] 	Mean test loss of 156 batches: 2.231445.
+[ Wed Aug 24 11:08:54 2022 ] 	Top1: 58.12%
+[ Wed Aug 24 11:08:55 2022 ] 	Top5: 84.78%
+[ Wed Aug 24 11:08:56 2022 ] Training epoch: 100
+[ Wed Aug 24 11:09:20 2022 ] 	Training loss: 0.9465.  Training acc: 99.04%.
+[ Wed Aug 24 11:09:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:09:20 2022 ] Eval epoch: 100
+[ Wed Aug 24 11:10:07 2022 ] 	Mean test loss of 156 batches: 2.223957.
+[ Wed Aug 24 11:10:08 2022 ] 	Top1: 58.30%
+[ Wed Aug 24 11:10:08 2022 ] 	Top5: 85.06%
+[ Wed Aug 24 11:10:09 2022 ] Training epoch: 101
+[ Wed Aug 24 11:10:33 2022 ] 	Training loss: 0.9452.  Training acc: 99.12%.
+[ Wed Aug 24 11:10:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:10:33 2022 ] Eval epoch: 101
+[ Wed Aug 24 11:11:20 2022 ] 	Mean test loss of 156 batches: 2.227169.
+[ Wed Aug 24 11:11:21 2022 ] 	Top1: 58.22%
+[ Wed Aug 24 11:11:21 2022 ] 	Top5: 84.98%
+[ Wed Aug 24 11:11:22 2022 ] Training epoch: 102
+[ Wed Aug 24 11:11:46 2022 ] 	Training loss: 0.9445.  Training acc: 99.12%.
+[ Wed Aug 24 11:11:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:11:46 2022 ] Eval epoch: 102
+[ Wed Aug 24 11:12:33 2022 ] 	Mean test loss of 156 batches: 2.233505.
+[ Wed Aug 24 11:12:33 2022 ] 	Top1: 58.15%
+[ Wed Aug 24 11:12:34 2022 ] 	Top5: 84.69%
+[ Wed Aug 24 11:12:35 2022 ] Training epoch: 103
+[ Wed Aug 24 11:12:58 2022 ] 	Training loss: 0.9438.  Training acc: 99.22%.
+[ Wed Aug 24 11:12:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:12:58 2022 ] Eval epoch: 103
+[ Wed Aug 24 11:13:44 2022 ] 	Mean test loss of 156 batches: 2.229082.
+[ Wed Aug 24 11:13:45 2022 ] 	Top1: 58.23%
+[ Wed Aug 24 11:13:45 2022 ] 	Top5: 84.80%
+[ Wed Aug 24 11:13:46 2022 ] Training epoch: 104
+[ Wed Aug 24 11:14:09 2022 ] 	Training loss: 0.9435.  Training acc: 99.11%.
+[ Wed Aug 24 11:14:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:14:09 2022 ] Eval epoch: 104
+[ Wed Aug 24 11:14:56 2022 ] 	Mean test loss of 156 batches: 2.228935.
+[ Wed Aug 24 11:14:57 2022 ] 	Top1: 58.12%
+[ Wed Aug 24 11:14:57 2022 ] 	Top5: 84.76%
+[ Wed Aug 24 11:14:58 2022 ] Training epoch: 105
+[ Wed Aug 24 11:15:22 2022 ] 	Training loss: 0.9415.  Training acc: 99.23%.
+[ Wed Aug 24 11:15:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:15:22 2022 ] Eval epoch: 105
+[ Wed Aug 24 11:16:10 2022 ] 	Mean test loss of 156 batches: 2.239971.
+[ Wed Aug 24 11:16:11 2022 ] 	Top1: 57.95%
+[ Wed Aug 24 11:16:11 2022 ] 	Top5: 84.67%
+[ Wed Aug 24 11:16:12 2022 ] Training epoch: 106
+[ Wed Aug 24 11:16:36 2022 ] 	Training loss: 0.9420.  Training acc: 99.15%.
+[ Wed Aug 24 11:16:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:16:36 2022 ] Eval epoch: 106
+[ Wed Aug 24 11:17:22 2022 ] 	Mean test loss of 156 batches: 2.232926.
+[ Wed Aug 24 11:17:23 2022 ] 	Top1: 58.20%
+[ Wed Aug 24 11:17:24 2022 ] 	Top5: 84.75%
+[ Wed Aug 24 11:17:24 2022 ] Training epoch: 107
+[ Wed Aug 24 11:17:48 2022 ] 	Training loss: 0.9402.  Training acc: 99.24%.
+[ Wed Aug 24 11:17:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:17:48 2022 ] Eval epoch: 107
+[ Wed Aug 24 11:18:35 2022 ] 	Mean test loss of 156 batches: 2.230402.
+[ Wed Aug 24 11:18:35 2022 ] 	Top1: 58.09%
+[ Wed Aug 24 11:18:36 2022 ] 	Top5: 84.88%
+[ Wed Aug 24 11:18:37 2022 ] Training epoch: 108
+[ Wed Aug 24 11:19:01 2022 ] 	Training loss: 0.9447.  Training acc: 98.98%.
+[ Wed Aug 24 11:19:01 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:19:01 2022 ] Eval epoch: 108
+[ Wed Aug 24 11:19:47 2022 ] 	Mean test loss of 156 batches: 2.240446.
+[ Wed Aug 24 11:19:48 2022 ] 	Top1: 57.95%
+[ Wed Aug 24 11:19:48 2022 ] 	Top5: 84.54%
+[ Wed Aug 24 11:19:49 2022 ] Training epoch: 109
+[ Wed Aug 24 11:20:14 2022 ] 	Training loss: 0.9407.  Training acc: 99.24%.
+[ Wed Aug 24 11:20:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:20:14 2022 ] Eval epoch: 109
+[ Wed Aug 24 11:21:01 2022 ] 	Mean test loss of 156 batches: 2.236567.
+[ Wed Aug 24 11:21:02 2022 ] 	Top1: 57.95%
+[ Wed Aug 24 11:21:03 2022 ] 	Top5: 84.66%
+[ Wed Aug 24 11:21:03 2022 ] Training epoch: 110
+[ Wed Aug 24 11:21:27 2022 ] 	Training loss: 0.9419.  Training acc: 99.19%.
+[ Wed Aug 24 11:21:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 11:21:27 2022 ] Eval epoch: 110
+[ Wed Aug 24 11:22:15 2022 ] 	Mean test loss of 156 batches: 2.223313.
+[ Wed Aug 24 11:22:17 2022 ] 	Top1: 58.46%
+[ Wed Aug 24 11:22:17 2022 ] 	Top5: 84.91%

ckpt/Others/InfoGCN/ntu_120_xset_LT/jm/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:424f5a3a60a5354b01996f09895b0470cefe05d1db88b4ed22f51835c48abc31
+size 31278306

ckpt/Others/InfoGCN/ntu_120_xset_LT/jm/log.txt

@@ -0,0 +1,775 @@
+[ Wed Aug 24 09:07:51 2022 ] using warm up, epoch: 5
+[ Wed Aug 24 09:08:37 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 120, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu120/NTU120_CSet_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': True, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_120_xset_LT/jm', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 8, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 256, 'test_batch_size': 256, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Wed Aug 24 09:08:37 2022 ] # Parameters: 1572227
+[ Wed Aug 24 09:08:37 2022 ] Training epoch: 1
+[ Wed Aug 24 09:09:05 2022 ] 	Training loss: 7.0803.  Training acc: 4.02%.
+[ Wed Aug 24 09:09:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:09:05 2022 ] Eval epoch: 1
+[ Wed Aug 24 09:09:54 2022 ] 	Mean test loss of 156 batches: 5.791193.
+[ Wed Aug 24 09:09:55 2022 ] 	Top1: 0.87%
+[ Wed Aug 24 09:09:55 2022 ] 	Top5: 4.20%
+[ Wed Aug 24 09:09:56 2022 ] Training epoch: 2
+[ Wed Aug 24 09:10:20 2022 ] 	Training loss: 4.0736.  Training acc: 12.52%.
+[ Wed Aug 24 09:10:20 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:10:20 2022 ] Eval epoch: 2
+[ Wed Aug 24 09:11:09 2022 ] 	Mean test loss of 156 batches: 4.888007.
+[ Wed Aug 24 09:11:09 2022 ] 	Top1: 6.08%
+[ Wed Aug 24 09:11:10 2022 ] 	Top5: 16.48%
+[ Wed Aug 24 09:11:11 2022 ] Training epoch: 3
+[ Wed Aug 24 09:11:35 2022 ] 	Training loss: 3.6464.  Training acc: 21.22%.
+[ Wed Aug 24 09:11:35 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:11:35 2022 ] Eval epoch: 3
+[ Wed Aug 24 09:12:23 2022 ] 	Mean test loss of 156 batches: 5.417069.
+[ Wed Aug 24 09:12:24 2022 ] 	Top1: 7.52%
+[ Wed Aug 24 09:12:24 2022 ] 	Top5: 18.31%
+[ Wed Aug 24 09:12:25 2022 ] Training epoch: 4
+[ Wed Aug 24 09:12:49 2022 ] 	Training loss: 3.3359.  Training acc: 27.43%.
+[ Wed Aug 24 09:12:49 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:12:49 2022 ] Eval epoch: 4
+[ Wed Aug 24 09:13:37 2022 ] 	Mean test loss of 156 batches: 5.361952.
+[ Wed Aug 24 09:13:38 2022 ] 	Top1: 8.95%
+[ Wed Aug 24 09:13:38 2022 ] 	Top5: 19.58%
+[ Wed Aug 24 09:13:40 2022 ] Training epoch: 5
+[ Wed Aug 24 09:14:03 2022 ] 	Training loss: 3.1042.  Training acc: 32.94%.
+[ Wed Aug 24 09:14:03 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:14:03 2022 ] Eval epoch: 5
+[ Wed Aug 24 09:14:50 2022 ] 	Mean test loss of 156 batches: 4.288114.
+[ Wed Aug 24 09:14:51 2022 ] 	Top1: 13.38%
+[ Wed Aug 24 09:14:51 2022 ] 	Top5: 30.00%
+[ Wed Aug 24 09:14:52 2022 ] Training epoch: 6
+[ Wed Aug 24 09:15:16 2022 ] 	Training loss: 2.7866.  Training acc: 40.27%.
+[ Wed Aug 24 09:15:16 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:15:16 2022 ] Eval epoch: 6
+[ Wed Aug 24 09:16:05 2022 ] 	Mean test loss of 156 batches: 6.021080.
+[ Wed Aug 24 09:16:05 2022 ] 	Top1: 8.36%
+[ Wed Aug 24 09:16:06 2022 ] 	Top5: 21.70%
+[ Wed Aug 24 09:16:07 2022 ] Training epoch: 7
+[ Wed Aug 24 09:16:32 2022 ] 	Training loss: 2.6064.  Training acc: 45.07%.
+[ Wed Aug 24 09:16:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 09:16:32 2022 ] Eval epoch: 7
+[ Wed Aug 24 09:17:21 2022 ] 	Mean test loss of 156 batches: 4.505910.
+[ Wed Aug 24 09:17:22 2022 ] 	Top1: 14.55%
+[ Wed Aug 24 09:17:23 2022 ] 	Top5: 29.75%
+[ Wed Aug 24 09:17:23 2022 ] Training epoch: 8
+[ Wed Aug 24 09:17:48 2022 ] 	Training loss: 2.4834.  Training acc: 48.65%.
+[ Wed Aug 24 09:17:48 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:17:48 2022 ] Eval epoch: 8
+[ Wed Aug 24 09:18:36 2022 ] 	Mean test loss of 156 batches: 4.047772.
+[ Wed Aug 24 09:18:37 2022 ] 	Top1: 18.71%
+[ Wed Aug 24 09:18:38 2022 ] 	Top5: 40.63%
+[ Wed Aug 24 09:18:39 2022 ] Training epoch: 9
+[ Wed Aug 24 09:19:04 2022 ] 	Training loss: 2.4180.  Training acc: 50.29%.
+[ Wed Aug 24 09:19:04 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:19:04 2022 ] Eval epoch: 9
+[ Wed Aug 24 09:19:51 2022 ] 	Mean test loss of 156 batches: 4.844181.
+[ Wed Aug 24 09:19:52 2022 ] 	Top1: 14.40%
+[ Wed Aug 24 09:19:53 2022 ] 	Top5: 30.48%
+[ Wed Aug 24 09:19:53 2022 ] Training epoch: 10
+[ Wed Aug 24 09:20:18 2022 ] 	Training loss: 2.3697.  Training acc: 51.84%.
+[ Wed Aug 24 09:20:18 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:20:18 2022 ] Eval epoch: 10
+[ Wed Aug 24 09:21:06 2022 ] 	Mean test loss of 156 batches: 4.868864.
+[ Wed Aug 24 09:21:07 2022 ] 	Top1: 11.44%
+[ Wed Aug 24 09:21:07 2022 ] 	Top5: 25.83%
+[ Wed Aug 24 09:21:08 2022 ] Training epoch: 11
+[ Wed Aug 24 09:21:32 2022 ] 	Training loss: 2.3196.  Training acc: 53.72%.
+[ Wed Aug 24 09:21:32 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:21:32 2022 ] Eval epoch: 11
+[ Wed Aug 24 09:22:20 2022 ] 	Mean test loss of 156 batches: 4.411278.
+[ Wed Aug 24 09:22:21 2022 ] 	Top1: 12.71%
+[ Wed Aug 24 09:22:22 2022 ] 	Top5: 30.88%
+[ Wed Aug 24 09:22:23 2022 ] Training epoch: 12
+[ Wed Aug 24 09:22:48 2022 ] 	Training loss: 2.2768.  Training acc: 54.31%.
+[ Wed Aug 24 09:22:48 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:22:48 2022 ] Eval epoch: 12
+[ Wed Aug 24 09:23:36 2022 ] 	Mean test loss of 156 batches: 4.250301.
+[ Wed Aug 24 09:23:37 2022 ] 	Top1: 15.46%
+[ Wed Aug 24 09:23:37 2022 ] 	Top5: 35.30%
+[ Wed Aug 24 09:23:38 2022 ] Training epoch: 13
+[ Wed Aug 24 09:24:02 2022 ] 	Training loss: 2.2014.  Training acc: 56.81%.
+[ Wed Aug 24 09:24:02 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:24:02 2022 ] Eval epoch: 13
+[ Wed Aug 24 09:24:50 2022 ] 	Mean test loss of 156 batches: 4.095262.
+[ Wed Aug 24 09:24:51 2022 ] 	Top1: 16.84%
+[ Wed Aug 24 09:24:53 2022 ] 	Top5: 35.75%
+[ Wed Aug 24 09:24:54 2022 ] Training epoch: 14
+[ Wed Aug 24 09:25:19 2022 ] 	Training loss: 2.1735.  Training acc: 57.51%.
+[ Wed Aug 24 09:25:19 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:25:19 2022 ] Eval epoch: 14
+[ Wed Aug 24 09:26:06 2022 ] 	Mean test loss of 156 batches: 3.661511.
+[ Wed Aug 24 09:26:07 2022 ] 	Top1: 21.76%
+[ Wed Aug 24 09:26:07 2022 ] 	Top5: 47.41%
+[ Wed Aug 24 09:26:08 2022 ] Training epoch: 15
+[ Wed Aug 24 09:26:33 2022 ] 	Training loss: 2.1564.  Training acc: 58.86%.
+[ Wed Aug 24 09:26:33 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:26:33 2022 ] Eval epoch: 15
+[ Wed Aug 24 09:27:23 2022 ] 	Mean test loss of 156 batches: 3.818171.
+[ Wed Aug 24 09:27:24 2022 ] 	Top1: 20.95%
+[ Wed Aug 24 09:27:25 2022 ] 	Top5: 43.60%
+[ Wed Aug 24 09:27:25 2022 ] Training epoch: 16
+[ Wed Aug 24 09:27:51 2022 ] 	Training loss: 2.1159.  Training acc: 59.53%.
+[ Wed Aug 24 09:27:51 2022 ] 	Time consumption: [Data]02%, [Network]97%
+[ Wed Aug 24 09:27:51 2022 ] Eval epoch: 16
+[ Wed Aug 24 09:28:40 2022 ] 	Mean test loss of 156 batches: 3.522942.
+[ Wed Aug 24 09:28:40 2022 ] 	Top1: 24.65%
+[ Wed Aug 24 09:28:41 2022 ] 	Top5: 49.90%
+[ Wed Aug 24 09:28:42 2022 ] Training epoch: 17
+[ Wed Aug 24 09:29:06 2022 ] 	Training loss: 2.1058.  Training acc: 59.38%.
+[ Wed Aug 24 09:29:06 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:29:06 2022 ] Eval epoch: 17
+[ Wed Aug 24 09:29:54 2022 ] 	Mean test loss of 156 batches: 3.758873.
+[ Wed Aug 24 09:29:54 2022 ] 	Top1: 20.81%
+[ Wed Aug 24 09:29:55 2022 ] 	Top5: 46.52%
+[ Wed Aug 24 09:29:56 2022 ] Training epoch: 18
+[ Wed Aug 24 09:30:20 2022 ] 	Training loss: 2.0561.  Training acc: 61.68%.
+[ Wed Aug 24 09:30:20 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:30:20 2022 ] Eval epoch: 18
+[ Wed Aug 24 09:31:05 2022 ] 	Mean test loss of 156 batches: 3.732033.
+[ Wed Aug 24 09:31:06 2022 ] 	Top1: 21.11%
+[ Wed Aug 24 09:31:06 2022 ] 	Top5: 46.31%
+[ Wed Aug 24 09:31:07 2022 ] Training epoch: 19
+[ Wed Aug 24 09:31:31 2022 ] 	Training loss: 2.0069.  Training acc: 62.53%.
+[ Wed Aug 24 09:31:31 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:31:31 2022 ] Eval epoch: 19
+[ Wed Aug 24 09:32:21 2022 ] 	Mean test loss of 156 batches: 3.479140.
+[ Wed Aug 24 09:32:21 2022 ] 	Top1: 27.56%
+[ Wed Aug 24 09:32:22 2022 ] 	Top5: 51.85%
+[ Wed Aug 24 09:32:23 2022 ] Training epoch: 20
+[ Wed Aug 24 09:32:47 2022 ] 	Training loss: 1.9816.  Training acc: 63.42%.
+[ Wed Aug 24 09:32:47 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:32:47 2022 ] Eval epoch: 20
+[ Wed Aug 24 09:33:35 2022 ] 	Mean test loss of 156 batches: 3.396361.
+[ Wed Aug 24 09:33:35 2022 ] 	Top1: 27.20%
+[ Wed Aug 24 09:33:36 2022 ] 	Top5: 54.72%
+[ Wed Aug 24 09:33:36 2022 ] Training epoch: 21
+[ Wed Aug 24 09:34:01 2022 ] 	Training loss: 1.9665.  Training acc: 64.24%.
+[ Wed Aug 24 09:34:01 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:34:01 2022 ] Eval epoch: 21
+[ Wed Aug 24 09:34:49 2022 ] 	Mean test loss of 156 batches: 3.605419.
+[ Wed Aug 24 09:34:50 2022 ] 	Top1: 24.81%
+[ Wed Aug 24 09:34:51 2022 ] 	Top5: 51.48%
+[ Wed Aug 24 09:34:51 2022 ] Training epoch: 22
+[ Wed Aug 24 09:35:16 2022 ] 	Training loss: 1.9308.  Training acc: 64.85%.
+[ Wed Aug 24 09:35:16 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:35:16 2022 ] Eval epoch: 22
+[ Wed Aug 24 09:36:03 2022 ] 	Mean test loss of 156 batches: 3.568671.
+[ Wed Aug 24 09:36:03 2022 ] 	Top1: 28.54%
+[ Wed Aug 24 09:36:04 2022 ] 	Top5: 53.96%
+[ Wed Aug 24 09:36:05 2022 ] Training epoch: 23
+[ Wed Aug 24 09:36:30 2022 ] 	Training loss: 1.8991.  Training acc: 66.10%.
+[ Wed Aug 24 09:36:30 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:36:30 2022 ] Eval epoch: 23
+[ Wed Aug 24 09:37:17 2022 ] 	Mean test loss of 156 batches: 3.388057.
+[ Wed Aug 24 09:37:20 2022 ] 	Top1: 26.65%
+[ Wed Aug 24 09:37:21 2022 ] 	Top5: 56.66%
+[ Wed Aug 24 09:37:21 2022 ] Training epoch: 24
+[ Wed Aug 24 09:37:46 2022 ] 	Training loss: 1.8712.  Training acc: 67.11%.
+[ Wed Aug 24 09:37:46 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:37:46 2022 ] Eval epoch: 24
+[ Wed Aug 24 09:38:33 2022 ] 	Mean test loss of 156 batches: 3.611522.
+[ Wed Aug 24 09:38:34 2022 ] 	Top1: 24.43%
+[ Wed Aug 24 09:38:34 2022 ] 	Top5: 50.48%
+[ Wed Aug 24 09:38:35 2022 ] Training epoch: 25
+[ Wed Aug 24 09:39:00 2022 ] 	Training loss: 1.8448.  Training acc: 68.03%.
+[ Wed Aug 24 09:39:00 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:39:00 2022 ] Eval epoch: 25
+[ Wed Aug 24 09:39:46 2022 ] 	Mean test loss of 156 batches: 3.625435.
+[ Wed Aug 24 09:39:47 2022 ] 	Top1: 26.55%
+[ Wed Aug 24 09:39:48 2022 ] 	Top5: 52.76%
+[ Wed Aug 24 09:39:50 2022 ] Training epoch: 26
+[ Wed Aug 24 09:40:14 2022 ] 	Training loss: 1.8434.  Training acc: 67.98%.
+[ Wed Aug 24 09:40:14 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:40:14 2022 ] Eval epoch: 26
+[ Wed Aug 24 09:41:02 2022 ] 	Mean test loss of 156 batches: 3.609959.
+[ Wed Aug 24 09:41:02 2022 ] 	Top1: 26.65%
+[ Wed Aug 24 09:41:03 2022 ] 	Top5: 54.11%
+[ Wed Aug 24 09:41:03 2022 ] Training epoch: 27
+[ Wed Aug 24 09:41:28 2022 ] 	Training loss: 1.8099.  Training acc: 68.75%.
+[ Wed Aug 24 09:41:28 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:41:28 2022 ] Eval epoch: 27
+[ Wed Aug 24 09:42:14 2022 ] 	Mean test loss of 156 batches: 3.595876.
+[ Wed Aug 24 09:42:15 2022 ] 	Top1: 26.41%
+[ Wed Aug 24 09:42:15 2022 ] 	Top5: 52.05%
+[ Wed Aug 24 09:42:16 2022 ] Training epoch: 28
+[ Wed Aug 24 09:42:40 2022 ] 	Training loss: 1.7922.  Training acc: 70.08%.
+[ Wed Aug 24 09:42:40 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:42:40 2022 ] Eval epoch: 28
+[ Wed Aug 24 09:43:27 2022 ] 	Mean test loss of 156 batches: 3.091847.
+[ Wed Aug 24 09:43:30 2022 ] 	Top1: 33.89%
+[ Wed Aug 24 09:43:31 2022 ] 	Top5: 62.68%
+[ Wed Aug 24 09:43:32 2022 ] Training epoch: 29
+[ Wed Aug 24 09:43:57 2022 ] 	Training loss: 1.7737.  Training acc: 70.34%.
+[ Wed Aug 24 09:43:57 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:43:57 2022 ] Eval epoch: 29
+[ Wed Aug 24 09:44:42 2022 ] 	Mean test loss of 156 batches: 3.135561.
+[ Wed Aug 24 09:44:43 2022 ] 	Top1: 32.22%
+[ Wed Aug 24 09:44:43 2022 ] 	Top5: 61.22%
+[ Wed Aug 24 09:44:44 2022 ] Training epoch: 30
+[ Wed Aug 24 09:45:08 2022 ] 	Training loss: 1.7730.  Training acc: 70.71%.
+[ Wed Aug 24 09:45:08 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:45:08 2022 ] Eval epoch: 30
+[ Wed Aug 24 09:45:55 2022 ] 	Mean test loss of 156 batches: 3.092939.
+[ Wed Aug 24 09:45:59 2022 ] 	Top1: 33.81%
+[ Wed Aug 24 09:46:01 2022 ] 	Top5: 61.87%
+[ Wed Aug 24 09:46:02 2022 ] Training epoch: 31
+[ Wed Aug 24 09:46:26 2022 ] 	Training loss: 1.7278.  Training acc: 71.49%.
+[ Wed Aug 24 09:46:26 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:46:26 2022 ] Eval epoch: 31
+[ Wed Aug 24 09:47:12 2022 ] 	Mean test loss of 156 batches: 2.832111.
+[ Wed Aug 24 09:47:14 2022 ] 	Top1: 39.91%
+[ Wed Aug 24 09:47:17 2022 ] 	Top5: 68.68%
+[ Wed Aug 24 09:47:19 2022 ] Training epoch: 32
+[ Wed Aug 24 09:47:44 2022 ] 	Training loss: 1.7141.  Training acc: 72.75%.
+[ Wed Aug 24 09:47:44 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:47:44 2022 ] Eval epoch: 32
+[ Wed Aug 24 09:48:29 2022 ] 	Mean test loss of 156 batches: 3.007089.
+[ Wed Aug 24 09:48:33 2022 ] 	Top1: 34.86%
+[ Wed Aug 24 09:48:34 2022 ] 	Top5: 64.26%
+[ Wed Aug 24 09:48:36 2022 ] Training epoch: 33
+[ Wed Aug 24 09:49:00 2022 ] 	Training loss: 1.6940.  Training acc: 73.19%.
+[ Wed Aug 24 09:49:00 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:49:00 2022 ] Eval epoch: 33
+[ Wed Aug 24 09:49:48 2022 ] 	Mean test loss of 156 batches: 2.840845.
+[ Wed Aug 24 09:49:49 2022 ] 	Top1: 39.74%
+[ Wed Aug 24 09:49:49 2022 ] 	Top5: 69.25%
+[ Wed Aug 24 09:49:50 2022 ] Training epoch: 34
+[ Wed Aug 24 09:50:14 2022 ] 	Training loss: 1.6775.  Training acc: 73.89%.
+[ Wed Aug 24 09:50:14 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:50:14 2022 ] Eval epoch: 34
+[ Wed Aug 24 09:51:01 2022 ] 	Mean test loss of 156 batches: 3.029859.
+[ Wed Aug 24 09:51:02 2022 ] 	Top1: 35.63%
+[ Wed Aug 24 09:51:02 2022 ] 	Top5: 64.42%
+[ Wed Aug 24 09:51:03 2022 ] Training epoch: 35
+[ Wed Aug 24 09:51:27 2022 ] 	Training loss: 1.6558.  Training acc: 74.09%.
+[ Wed Aug 24 09:51:27 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:51:27 2022 ] Eval epoch: 35
+[ Wed Aug 24 09:52:14 2022 ] 	Mean test loss of 156 batches: 3.013574.
+[ Wed Aug 24 09:52:16 2022 ] 	Top1: 36.25%
+[ Wed Aug 24 09:52:16 2022 ] 	Top5: 63.76%
+[ Wed Aug 24 09:52:17 2022 ] Training epoch: 36
+[ Wed Aug 24 09:52:42 2022 ] 	Training loss: 1.6423.  Training acc: 74.81%.
+[ Wed Aug 24 09:52:42 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:52:42 2022 ] Eval epoch: 36
+[ Wed Aug 24 09:53:27 2022 ] 	Mean test loss of 156 batches: 2.971717.
+[ Wed Aug 24 09:53:30 2022 ] 	Top1: 37.14%
+[ Wed Aug 24 09:53:31 2022 ] 	Top5: 64.74%
+[ Wed Aug 24 09:53:32 2022 ] Training epoch: 37
+[ Wed Aug 24 09:53:56 2022 ] 	Training loss: 1.6185.  Training acc: 75.70%.
+[ Wed Aug 24 09:53:56 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:53:56 2022 ] Eval epoch: 37
+[ Wed Aug 24 09:54:42 2022 ] 	Mean test loss of 156 batches: 2.832100.
+[ Wed Aug 24 09:54:45 2022 ] 	Top1: 40.04%
+[ Wed Aug 24 09:54:46 2022 ] 	Top5: 70.02%
+[ Wed Aug 24 09:54:48 2022 ] Training epoch: 38
+[ Wed Aug 24 09:55:11 2022 ] 	Training loss: 1.6110.  Training acc: 76.07%.
+[ Wed Aug 24 09:55:11 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:55:11 2022 ] Eval epoch: 38
+[ Wed Aug 24 09:55:57 2022 ] 	Mean test loss of 156 batches: 2.803618.
+[ Wed Aug 24 09:55:58 2022 ] 	Top1: 39.35%
+[ Wed Aug 24 09:55:59 2022 ] 	Top5: 70.85%
+[ Wed Aug 24 09:56:00 2022 ] Training epoch: 39
+[ Wed Aug 24 09:56:24 2022 ] 	Training loss: 1.6022.  Training acc: 76.29%.
+[ Wed Aug 24 09:56:24 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:56:24 2022 ] Eval epoch: 39
+[ Wed Aug 24 09:57:10 2022 ] 	Mean test loss of 156 batches: 3.127586.
+[ Wed Aug 24 09:57:11 2022 ] 	Top1: 35.91%
+[ Wed Aug 24 09:57:12 2022 ] 	Top5: 63.56%
+[ Wed Aug 24 09:57:14 2022 ] Training epoch: 40
+[ Wed Aug 24 09:57:38 2022 ] 	Training loss: 1.5809.  Training acc: 77.15%.
+[ Wed Aug 24 09:57:38 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:57:38 2022 ] Eval epoch: 40
+[ Wed Aug 24 09:58:22 2022 ] 	Mean test loss of 156 batches: 2.906101.
+[ Wed Aug 24 09:58:23 2022 ] 	Top1: 38.85%
+[ Wed Aug 24 09:58:24 2022 ] 	Top5: 68.85%
+[ Wed Aug 24 09:58:24 2022 ] Training epoch: 41
+[ Wed Aug 24 09:58:49 2022 ] 	Training loss: 1.5648.  Training acc: 77.58%.
+[ Wed Aug 24 09:58:49 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 09:58:49 2022 ] Eval epoch: 41
+[ Wed Aug 24 09:59:35 2022 ] 	Mean test loss of 156 batches: 2.638238.
+[ Wed Aug 24 09:59:39 2022 ] 	Top1: 44.51%
+[ Wed Aug 24 09:59:40 2022 ] 	Top5: 74.78%
+[ Wed Aug 24 09:59:41 2022 ] Training epoch: 42
+[ Wed Aug 24 10:00:05 2022 ] 	Training loss: 1.5539.  Training acc: 78.50%.
+[ Wed Aug 24 10:00:05 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:00:05 2022 ] Eval epoch: 42
+[ Wed Aug 24 10:00:51 2022 ] 	Mean test loss of 156 batches: 2.938806.
+[ Wed Aug 24 10:00:53 2022 ] 	Top1: 39.05%
+[ Wed Aug 24 10:00:54 2022 ] 	Top5: 67.99%
+[ Wed Aug 24 10:00:55 2022 ] Training epoch: 43
+[ Wed Aug 24 10:01:19 2022 ] 	Training loss: 1.5524.  Training acc: 78.12%.
+[ Wed Aug 24 10:01:19 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:01:19 2022 ] Eval epoch: 43
+[ Wed Aug 24 10:02:06 2022 ] 	Mean test loss of 156 batches: 3.101775.
+[ Wed Aug 24 10:02:10 2022 ] 	Top1: 34.04%
+[ Wed Aug 24 10:02:12 2022 ] 	Top5: 64.25%
+[ Wed Aug 24 10:02:13 2022 ] Training epoch: 44
+[ Wed Aug 24 10:02:37 2022 ] 	Training loss: 1.5225.  Training acc: 79.38%.
+[ Wed Aug 24 10:02:37 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:02:37 2022 ] Eval epoch: 44
+[ Wed Aug 24 10:03:24 2022 ] 	Mean test loss of 156 batches: 2.727788.
+[ Wed Aug 24 10:03:30 2022 ] 	Top1: 43.86%
+[ Wed Aug 24 10:03:32 2022 ] 	Top5: 72.20%
+[ Wed Aug 24 10:03:39 2022 ] Training epoch: 45
+[ Wed Aug 24 10:04:03 2022 ] 	Training loss: 1.5127.  Training acc: 79.59%.
+[ Wed Aug 24 10:04:03 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:04:03 2022 ] Eval epoch: 45
+[ Wed Aug 24 10:04:51 2022 ] 	Mean test loss of 156 batches: 2.686949.
+[ Wed Aug 24 10:04:51 2022 ] 	Top1: 42.45%
+[ Wed Aug 24 10:04:52 2022 ] 	Top5: 73.26%
+[ Wed Aug 24 10:04:52 2022 ] Training epoch: 46
+[ Wed Aug 24 10:05:17 2022 ] 	Training loss: 1.4947.  Training acc: 79.93%.
+[ Wed Aug 24 10:05:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 10:05:17 2022 ] Eval epoch: 46
+[ Wed Aug 24 10:06:06 2022 ] 	Mean test loss of 156 batches: 2.814255.
+[ Wed Aug 24 10:06:06 2022 ] 	Top1: 41.66%
+[ Wed Aug 24 10:06:07 2022 ] 	Top5: 70.70%
+[ Wed Aug 24 10:06:07 2022 ] Training epoch: 47
+[ Wed Aug 24 10:06:32 2022 ] 	Training loss: 1.4724.  Training acc: 80.94%.
+[ Wed Aug 24 10:06:32 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:06:32 2022 ] Eval epoch: 47
+[ Wed Aug 24 10:07:21 2022 ] 	Mean test loss of 156 batches: 2.657338.
+[ Wed Aug 24 10:07:21 2022 ] 	Top1: 44.96%
+[ Wed Aug 24 10:07:22 2022 ] 	Top5: 73.01%
+[ Wed Aug 24 10:07:23 2022 ] Training epoch: 48
+[ Wed Aug 24 10:07:48 2022 ] 	Training loss: 1.4689.  Training acc: 80.87%.
+[ Wed Aug 24 10:07:48 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:07:48 2022 ] Eval epoch: 48
+[ Wed Aug 24 10:08:35 2022 ] 	Mean test loss of 156 batches: 2.903272.
+[ Wed Aug 24 10:08:36 2022 ] 	Top1: 38.73%
+[ Wed Aug 24 10:08:36 2022 ] 	Top5: 69.02%
+[ Wed Aug 24 10:08:37 2022 ] Training epoch: 49
+[ Wed Aug 24 10:09:01 2022 ] 	Training loss: 1.4659.  Training acc: 81.00%.
+[ Wed Aug 24 10:09:01 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:09:01 2022 ] Eval epoch: 49
+[ Wed Aug 24 10:09:48 2022 ] 	Mean test loss of 156 batches: 2.880463.
+[ Wed Aug 24 10:09:48 2022 ] 	Top1: 40.39%
+[ Wed Aug 24 10:09:49 2022 ] 	Top5: 68.79%
+[ Wed Aug 24 10:09:49 2022 ] Training epoch: 50
+[ Wed Aug 24 10:10:13 2022 ] 	Training loss: 1.4370.  Training acc: 82.29%.
+[ Wed Aug 24 10:10:13 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:10:13 2022 ] Eval epoch: 50
+[ Wed Aug 24 10:11:04 2022 ] 	Mean test loss of 156 batches: 2.629528.
+[ Wed Aug 24 10:11:04 2022 ] 	Top1: 45.38%
+[ Wed Aug 24 10:11:05 2022 ] 	Top5: 75.89%
+[ Wed Aug 24 10:11:06 2022 ] Training epoch: 51
+[ Wed Aug 24 10:11:30 2022 ] 	Training loss: 1.4336.  Training acc: 82.54%.
+[ Wed Aug 24 10:11:30 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:11:30 2022 ] Eval epoch: 51
+[ Wed Aug 24 10:12:19 2022 ] 	Mean test loss of 156 batches: 2.761302.
+[ Wed Aug 24 10:12:20 2022 ] 	Top1: 43.35%
+[ Wed Aug 24 10:12:20 2022 ] 	Top5: 71.54%
+[ Wed Aug 24 10:12:21 2022 ] Training epoch: 52
+[ Wed Aug 24 10:12:45 2022 ] 	Training loss: 1.4168.  Training acc: 83.11%.
+[ Wed Aug 24 10:12:45 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:12:45 2022 ] Eval epoch: 52
+[ Wed Aug 24 10:13:34 2022 ] 	Mean test loss of 156 batches: 2.890365.
+[ Wed Aug 24 10:13:34 2022 ] 	Top1: 39.52%
+[ Wed Aug 24 10:13:35 2022 ] 	Top5: 69.47%
+[ Wed Aug 24 10:13:35 2022 ] Training epoch: 53
+[ Wed Aug 24 10:13:59 2022 ] 	Training loss: 1.3998.  Training acc: 83.63%.
+[ Wed Aug 24 10:13:59 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:13:59 2022 ] Eval epoch: 53
+[ Wed Aug 24 10:14:47 2022 ] 	Mean test loss of 156 batches: 3.107248.
+[ Wed Aug 24 10:14:47 2022 ] 	Top1: 38.88%
+[ Wed Aug 24 10:14:48 2022 ] 	Top5: 66.69%
+[ Wed Aug 24 10:14:48 2022 ] Training epoch: 54
+[ Wed Aug 24 10:15:12 2022 ] 	Training loss: 1.3963.  Training acc: 83.77%.
+[ Wed Aug 24 10:15:12 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:15:12 2022 ] Eval epoch: 54
+[ Wed Aug 24 10:15:57 2022 ] 	Mean test loss of 156 batches: 2.801245.
+[ Wed Aug 24 10:15:58 2022 ] 	Top1: 43.13%
+[ Wed Aug 24 10:15:58 2022 ] 	Top5: 72.26%
+[ Wed Aug 24 10:15:59 2022 ] Training epoch: 55
+[ Wed Aug 24 10:16:23 2022 ] 	Training loss: 1.3871.  Training acc: 83.79%.
+[ Wed Aug 24 10:16:23 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:16:23 2022 ] Eval epoch: 55
+[ Wed Aug 24 10:17:09 2022 ] 	Mean test loss of 156 batches: 2.679429.
+[ Wed Aug 24 10:17:09 2022 ] 	Top1: 43.68%
+[ Wed Aug 24 10:17:10 2022 ] 	Top5: 73.89%
+[ Wed Aug 24 10:17:10 2022 ] Training epoch: 56
+[ Wed Aug 24 10:17:34 2022 ] 	Training loss: 1.3731.  Training acc: 84.42%.
+[ Wed Aug 24 10:17:34 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:17:34 2022 ] Eval epoch: 56
+[ Wed Aug 24 10:18:21 2022 ] 	Mean test loss of 156 batches: 2.565624.
+[ Wed Aug 24 10:18:22 2022 ] 	Top1: 47.02%
+[ Wed Aug 24 10:18:22 2022 ] 	Top5: 77.42%
+[ Wed Aug 24 10:18:23 2022 ] Training epoch: 57
+[ Wed Aug 24 10:18:47 2022 ] 	Training loss: 1.3524.  Training acc: 85.23%.
+[ Wed Aug 24 10:18:47 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:18:47 2022 ] Eval epoch: 57
+[ Wed Aug 24 10:19:34 2022 ] 	Mean test loss of 156 batches: 2.845177.
+[ Wed Aug 24 10:19:35 2022 ] 	Top1: 44.27%
+[ Wed Aug 24 10:19:35 2022 ] 	Top5: 71.91%
+[ Wed Aug 24 10:19:36 2022 ] Training epoch: 58
+[ Wed Aug 24 10:20:00 2022 ] 	Training loss: 1.3450.  Training acc: 85.24%.
+[ Wed Aug 24 10:20:00 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:20:00 2022 ] Eval epoch: 58
+[ Wed Aug 24 10:20:45 2022 ] 	Mean test loss of 156 batches: 2.642801.
+[ Wed Aug 24 10:20:46 2022 ] 	Top1: 46.33%
+[ Wed Aug 24 10:20:46 2022 ] 	Top5: 74.79%
+[ Wed Aug 24 10:20:47 2022 ] Training epoch: 59
+[ Wed Aug 24 10:21:11 2022 ] 	Training loss: 1.3421.  Training acc: 85.89%.
+[ Wed Aug 24 10:21:11 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:21:11 2022 ] Eval epoch: 59
+[ Wed Aug 24 10:21:58 2022 ] 	Mean test loss of 156 batches: 2.782784.
+[ Wed Aug 24 10:21:58 2022 ] 	Top1: 43.09%
+[ Wed Aug 24 10:21:59 2022 ] 	Top5: 73.38%
+[ Wed Aug 24 10:21:59 2022 ] Training epoch: 60
+[ Wed Aug 24 10:22:23 2022 ] 	Training loss: 1.3357.  Training acc: 85.81%.
+[ Wed Aug 24 10:22:23 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:22:23 2022 ] Eval epoch: 60
+[ Wed Aug 24 10:23:12 2022 ] 	Mean test loss of 156 batches: 2.635548.
+[ Wed Aug 24 10:23:12 2022 ] 	Top1: 46.07%
+[ Wed Aug 24 10:23:13 2022 ] 	Top5: 76.97%
+[ Wed Aug 24 10:23:13 2022 ] Training epoch: 61
+[ Wed Aug 24 10:23:37 2022 ] 	Training loss: 1.3132.  Training acc: 86.81%.
+[ Wed Aug 24 10:23:37 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:23:37 2022 ] Eval epoch: 61
+[ Wed Aug 24 10:24:26 2022 ] 	Mean test loss of 156 batches: 2.787921.
+[ Wed Aug 24 10:24:27 2022 ] 	Top1: 43.57%
+[ Wed Aug 24 10:24:27 2022 ] 	Top5: 72.49%
+[ Wed Aug 24 10:24:28 2022 ] Training epoch: 62
+[ Wed Aug 24 10:24:52 2022 ] 	Training loss: 1.3233.  Training acc: 86.43%.
+[ Wed Aug 24 10:24:52 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:24:52 2022 ] Eval epoch: 62
+[ Wed Aug 24 10:25:38 2022 ] 	Mean test loss of 156 batches: 2.717818.
+[ Wed Aug 24 10:25:38 2022 ] 	Top1: 44.26%
+[ Wed Aug 24 10:25:39 2022 ] 	Top5: 74.42%
+[ Wed Aug 24 10:25:39 2022 ] Training epoch: 63
+[ Wed Aug 24 10:26:03 2022 ] 	Training loss: 1.3058.  Training acc: 87.19%.
+[ Wed Aug 24 10:26:03 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:26:03 2022 ] Eval epoch: 63
+[ Wed Aug 24 10:26:51 2022 ] 	Mean test loss of 156 batches: 2.539832.
+[ Wed Aug 24 10:26:51 2022 ] 	Top1: 48.23%
+[ Wed Aug 24 10:26:52 2022 ] 	Top5: 78.30%
+[ Wed Aug 24 10:26:52 2022 ] Training epoch: 64
+[ Wed Aug 24 10:27:18 2022 ] 	Training loss: 1.2936.  Training acc: 87.77%.
+[ Wed Aug 24 10:27:18 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:27:18 2022 ] Eval epoch: 64
+[ Wed Aug 24 10:28:05 2022 ] 	Mean test loss of 156 batches: 2.616016.
+[ Wed Aug 24 10:28:06 2022 ] 	Top1: 48.13%
+[ Wed Aug 24 10:28:06 2022 ] 	Top5: 76.34%
+[ Wed Aug 24 10:28:07 2022 ] Training epoch: 65
+[ Wed Aug 24 10:28:31 2022 ] 	Training loss: 1.2951.  Training acc: 87.32%.
+[ Wed Aug 24 10:28:31 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:28:31 2022 ] Eval epoch: 65
+[ Wed Aug 24 10:29:16 2022 ] 	Mean test loss of 156 batches: 2.801212.
+[ Wed Aug 24 10:29:17 2022 ] 	Top1: 43.90%
+[ Wed Aug 24 10:29:17 2022 ] 	Top5: 73.73%
+[ Wed Aug 24 10:29:18 2022 ] Training epoch: 66
+[ Wed Aug 24 10:29:42 2022 ] 	Training loss: 1.2713.  Training acc: 88.62%.
+[ Wed Aug 24 10:29:42 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:29:42 2022 ] Eval epoch: 66
+[ Wed Aug 24 10:30:29 2022 ] 	Mean test loss of 156 batches: 2.723798.
+[ Wed Aug 24 10:30:30 2022 ] 	Top1: 45.41%
+[ Wed Aug 24 10:30:30 2022 ] 	Top5: 74.68%
+[ Wed Aug 24 10:30:31 2022 ] Training epoch: 67
+[ Wed Aug 24 10:30:55 2022 ] 	Training loss: 1.2693.  Training acc: 88.22%.
+[ Wed Aug 24 10:30:55 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:30:55 2022 ] Eval epoch: 67
+[ Wed Aug 24 10:31:43 2022 ] 	Mean test loss of 156 batches: 2.601094.
+[ Wed Aug 24 10:31:44 2022 ] 	Top1: 47.69%
+[ Wed Aug 24 10:31:44 2022 ] 	Top5: 76.01%
+[ Wed Aug 24 10:31:45 2022 ] Training epoch: 68
+[ Wed Aug 24 10:32:11 2022 ] 	Training loss: 1.2676.  Training acc: 88.09%.
+[ Wed Aug 24 10:32:11 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:32:11 2022 ] Eval epoch: 68
+[ Wed Aug 24 10:33:08 2022 ] 	Mean test loss of 156 batches: 2.666500.
+[ Wed Aug 24 10:33:09 2022 ] 	Top1: 46.23%
+[ Wed Aug 24 10:33:09 2022 ] 	Top5: 75.83%
+[ Wed Aug 24 10:33:10 2022 ] Training epoch: 69
+[ Wed Aug 24 10:33:34 2022 ] 	Training loss: 1.2641.  Training acc: 88.43%.
+[ Wed Aug 24 10:33:34 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:33:34 2022 ] Eval epoch: 69
+[ Wed Aug 24 10:34:18 2022 ] 	Mean test loss of 156 batches: 2.649204.
+[ Wed Aug 24 10:34:18 2022 ] 	Top1: 45.91%
+[ Wed Aug 24 10:34:19 2022 ] 	Top5: 76.00%
+[ Wed Aug 24 10:34:19 2022 ] Training epoch: 70
+[ Wed Aug 24 10:34:43 2022 ] 	Training loss: 1.2464.  Training acc: 89.15%.
+[ Wed Aug 24 10:34:43 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:34:43 2022 ] Eval epoch: 70
+[ Wed Aug 24 10:35:30 2022 ] 	Mean test loss of 156 batches: 2.501895.
+[ Wed Aug 24 10:35:30 2022 ] 	Top1: 49.89%
+[ Wed Aug 24 10:35:31 2022 ] 	Top5: 78.74%
+[ Wed Aug 24 10:35:31 2022 ] Training epoch: 71
+[ Wed Aug 24 10:35:55 2022 ] 	Training loss: 1.2251.  Training acc: 90.05%.
+[ Wed Aug 24 10:35:55 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:35:55 2022 ] Eval epoch: 71
+[ Wed Aug 24 10:36:41 2022 ] 	Mean test loss of 156 batches: 2.678904.
+[ Wed Aug 24 10:36:42 2022 ] 	Top1: 46.40%
+[ Wed Aug 24 10:36:42 2022 ] 	Top5: 76.17%
+[ Wed Aug 24 10:36:43 2022 ] Training epoch: 72
+[ Wed Aug 24 10:37:07 2022 ] 	Training loss: 1.2169.  Training acc: 90.21%.
+[ Wed Aug 24 10:37:07 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:37:07 2022 ] Eval epoch: 72
+[ Wed Aug 24 10:37:57 2022 ] 	Mean test loss of 156 batches: 2.769668.
+[ Wed Aug 24 10:37:57 2022 ] 	Top1: 44.83%
+[ Wed Aug 24 10:37:58 2022 ] 	Top5: 73.60%
+[ Wed Aug 24 10:37:58 2022 ] Training epoch: 73
+[ Wed Aug 24 10:38:24 2022 ] 	Training loss: 1.2388.  Training acc: 89.45%.
+[ Wed Aug 24 10:38:24 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:38:24 2022 ] Eval epoch: 73
+[ Wed Aug 24 10:39:19 2022 ] 	Mean test loss of 156 batches: 2.771456.
+[ Wed Aug 24 10:39:19 2022 ] 	Top1: 43.94%
+[ Wed Aug 24 10:39:20 2022 ] 	Top5: 71.82%
+[ Wed Aug 24 10:39:20 2022 ] Training epoch: 74
+[ Wed Aug 24 10:39:47 2022 ] 	Training loss: 1.2219.  Training acc: 90.03%.
+[ Wed Aug 24 10:39:47 2022 ] 	Time consumption: [Data]02%, [Network]97%
+[ Wed Aug 24 10:39:47 2022 ] Eval epoch: 74
+[ Wed Aug 24 10:40:41 2022 ] 	Mean test loss of 156 batches: 2.581045.
+[ Wed Aug 24 10:40:42 2022 ] 	Top1: 48.45%
+[ Wed Aug 24 10:40:42 2022 ] 	Top5: 77.84%
+[ Wed Aug 24 10:40:43 2022 ] Training epoch: 75
+[ Wed Aug 24 10:41:07 2022 ] 	Training loss: 1.2183.  Training acc: 89.94%.
+[ Wed Aug 24 10:41:07 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:41:07 2022 ] Eval epoch: 75
+[ Wed Aug 24 10:41:54 2022 ] 	Mean test loss of 156 batches: 2.615359.
+[ Wed Aug 24 10:41:55 2022 ] 	Top1: 48.45%
+[ Wed Aug 24 10:41:55 2022 ] 	Top5: 76.87%
+[ Wed Aug 24 10:41:56 2022 ] Training epoch: 76
+[ Wed Aug 24 10:42:19 2022 ] 	Training loss: 1.2151.  Training acc: 90.31%.
+[ Wed Aug 24 10:42:19 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:42:19 2022 ] Eval epoch: 76
+[ Wed Aug 24 10:43:08 2022 ] 	Mean test loss of 156 batches: 2.665255.
+[ Wed Aug 24 10:43:08 2022 ] 	Top1: 47.40%
+[ Wed Aug 24 10:43:09 2022 ] 	Top5: 77.04%
+[ Wed Aug 24 10:43:09 2022 ] Training epoch: 77
+[ Wed Aug 24 10:43:34 2022 ] 	Training loss: 1.1981.  Training acc: 90.93%.
+[ Wed Aug 24 10:43:34 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:43:34 2022 ] Eval epoch: 77
+[ Wed Aug 24 10:44:21 2022 ] 	Mean test loss of 156 batches: 2.656661.
+[ Wed Aug 24 10:44:22 2022 ] 	Top1: 47.29%
+[ Wed Aug 24 10:44:22 2022 ] 	Top5: 75.89%
+[ Wed Aug 24 10:44:23 2022 ] Training epoch: 78
+[ Wed Aug 24 10:44:47 2022 ] 	Training loss: 1.2055.  Training acc: 90.53%.
+[ Wed Aug 24 10:44:47 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:44:47 2022 ] Eval epoch: 78
+[ Wed Aug 24 10:45:34 2022 ] 	Mean test loss of 156 batches: 2.654089.
+[ Wed Aug 24 10:45:35 2022 ] 	Top1: 49.67%
+[ Wed Aug 24 10:45:35 2022 ] 	Top5: 77.51%
+[ Wed Aug 24 10:45:36 2022 ] Training epoch: 79
+[ Wed Aug 24 10:46:00 2022 ] 	Training loss: 1.1889.  Training acc: 91.01%.
+[ Wed Aug 24 10:46:00 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:46:00 2022 ] Eval epoch: 79
+[ Wed Aug 24 10:46:47 2022 ] 	Mean test loss of 156 batches: 2.667607.
+[ Wed Aug 24 10:46:48 2022 ] 	Top1: 47.60%
+[ Wed Aug 24 10:46:49 2022 ] 	Top5: 76.51%
+[ Wed Aug 24 10:46:49 2022 ] Training epoch: 80
+[ Wed Aug 24 10:47:13 2022 ] 	Training loss: 1.1841.  Training acc: 91.47%.
+[ Wed Aug 24 10:47:13 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:47:13 2022 ] Eval epoch: 80
+[ Wed Aug 24 10:48:01 2022 ] 	Mean test loss of 156 batches: 2.823436.
+[ Wed Aug 24 10:48:01 2022 ] 	Top1: 44.99%
+[ Wed Aug 24 10:48:02 2022 ] 	Top5: 72.91%
+[ Wed Aug 24 10:48:02 2022 ] Training epoch: 81
+[ Wed Aug 24 10:48:26 2022 ] 	Training loss: 1.1812.  Training acc: 91.68%.
+[ Wed Aug 24 10:48:26 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:48:26 2022 ] Eval epoch: 81
+[ Wed Aug 24 10:49:14 2022 ] 	Mean test loss of 156 batches: 2.613000.
+[ Wed Aug 24 10:49:15 2022 ] 	Top1: 47.38%
+[ Wed Aug 24 10:49:15 2022 ] 	Top5: 78.02%
+[ Wed Aug 24 10:49:16 2022 ] Training epoch: 82
+[ Wed Aug 24 10:49:39 2022 ] 	Training loss: 1.1826.  Training acc: 91.54%.
+[ Wed Aug 24 10:49:39 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:49:39 2022 ] Eval epoch: 82
+[ Wed Aug 24 10:50:28 2022 ] 	Mean test loss of 156 batches: 2.615018.
+[ Wed Aug 24 10:50:28 2022 ] 	Top1: 47.43%
+[ Wed Aug 24 10:50:29 2022 ] 	Top5: 76.91%
+[ Wed Aug 24 10:50:29 2022 ] Training epoch: 83
+[ Wed Aug 24 10:50:53 2022 ] 	Training loss: 1.1754.  Training acc: 91.47%.
+[ Wed Aug 24 10:50:53 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:50:53 2022 ] Eval epoch: 83
+[ Wed Aug 24 10:51:40 2022 ] 	Mean test loss of 156 batches: 2.616293.
+[ Wed Aug 24 10:51:41 2022 ] 	Top1: 47.02%
+[ Wed Aug 24 10:51:41 2022 ] 	Top5: 76.32%
+[ Wed Aug 24 10:51:42 2022 ] Training epoch: 84
+[ Wed Aug 24 10:52:06 2022 ] 	Training loss: 1.1688.  Training acc: 92.08%.
+[ Wed Aug 24 10:52:06 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:52:06 2022 ] Eval epoch: 84
+[ Wed Aug 24 10:52:55 2022 ] 	Mean test loss of 156 batches: 2.739680.
+[ Wed Aug 24 10:52:55 2022 ] 	Top1: 46.95%
+[ Wed Aug 24 10:52:56 2022 ] 	Top5: 74.62%
+[ Wed Aug 24 10:52:56 2022 ] Training epoch: 85
+[ Wed Aug 24 10:53:20 2022 ] 	Training loss: 1.1641.  Training acc: 92.01%.
+[ Wed Aug 24 10:53:20 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:53:20 2022 ] Eval epoch: 85
+[ Wed Aug 24 10:54:07 2022 ] 	Mean test loss of 156 batches: 2.661966.
+[ Wed Aug 24 10:54:08 2022 ] 	Top1: 49.09%
+[ Wed Aug 24 10:54:08 2022 ] 	Top5: 78.11%
+[ Wed Aug 24 10:54:09 2022 ] Training epoch: 86
+[ Wed Aug 24 10:54:32 2022 ] 	Training loss: 1.1732.  Training acc: 92.17%.
+[ Wed Aug 24 10:54:32 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:54:32 2022 ] Eval epoch: 86
+[ Wed Aug 24 10:55:20 2022 ] 	Mean test loss of 156 batches: 2.587251.
+[ Wed Aug 24 10:55:20 2022 ] 	Top1: 49.70%
+[ Wed Aug 24 10:55:21 2022 ] 	Top5: 76.93%
+[ Wed Aug 24 10:55:21 2022 ] Training epoch: 87
+[ Wed Aug 24 10:55:45 2022 ] 	Training loss: 1.1563.  Training acc: 92.06%.
+[ Wed Aug 24 10:55:45 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:55:45 2022 ] Eval epoch: 87
+[ Wed Aug 24 10:56:32 2022 ] 	Mean test loss of 156 batches: 2.733462.
+[ Wed Aug 24 10:56:32 2022 ] 	Top1: 46.69%
+[ Wed Aug 24 10:56:33 2022 ] 	Top5: 75.81%
+[ Wed Aug 24 10:56:33 2022 ] Training epoch: 88
+[ Wed Aug 24 10:56:57 2022 ] 	Training loss: 1.1605.  Training acc: 92.23%.
+[ Wed Aug 24 10:56:57 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:56:57 2022 ] Eval epoch: 88
+[ Wed Aug 24 10:57:47 2022 ] 	Mean test loss of 156 batches: 2.544678.
+[ Wed Aug 24 10:57:47 2022 ] 	Top1: 49.84%
+[ Wed Aug 24 10:57:48 2022 ] 	Top5: 77.69%
+[ Wed Aug 24 10:57:48 2022 ] Training epoch: 89
+[ Wed Aug 24 10:58:12 2022 ] 	Training loss: 1.1518.  Training acc: 92.29%.
+[ Wed Aug 24 10:58:12 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:58:12 2022 ] Eval epoch: 89
+[ Wed Aug 24 10:58:59 2022 ] 	Mean test loss of 156 batches: 2.739345.
+[ Wed Aug 24 10:59:00 2022 ] 	Top1: 45.98%
+[ Wed Aug 24 10:59:00 2022 ] 	Top5: 75.43%
+[ Wed Aug 24 10:59:01 2022 ] Training epoch: 90
+[ Wed Aug 24 10:59:25 2022 ] 	Training loss: 1.1547.  Training acc: 92.42%.
+[ Wed Aug 24 10:59:25 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 10:59:25 2022 ] Eval epoch: 90
+[ Wed Aug 24 11:00:16 2022 ] 	Mean test loss of 156 batches: 2.560624.
+[ Wed Aug 24 11:00:16 2022 ] 	Top1: 49.36%
+[ Wed Aug 24 11:00:17 2022 ] 	Top5: 78.13%
+[ Wed Aug 24 11:00:17 2022 ] Training epoch: 91
+[ Wed Aug 24 11:00:41 2022 ] 	Training loss: 1.0650.  Training acc: 95.86%.
+[ Wed Aug 24 11:00:41 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:00:41 2022 ] Eval epoch: 91
+[ Wed Aug 24 11:01:30 2022 ] 	Mean test loss of 156 batches: 2.296464.
+[ Wed Aug 24 11:01:30 2022 ] 	Top1: 55.82%
+[ Wed Aug 24 11:01:31 2022 ] 	Top5: 83.40%
+[ Wed Aug 24 11:01:31 2022 ] Training epoch: 92
+[ Wed Aug 24 11:01:55 2022 ] 	Training loss: 1.0142.  Training acc: 97.26%.
+[ Wed Aug 24 11:01:55 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:01:55 2022 ] Eval epoch: 92
+[ Wed Aug 24 11:02:46 2022 ] 	Mean test loss of 156 batches: 2.268770.
+[ Wed Aug 24 11:02:47 2022 ] 	Top1: 56.49%
+[ Wed Aug 24 11:02:47 2022 ] 	Top5: 83.85%
+[ Wed Aug 24 11:02:48 2022 ] Training epoch: 93
+[ Wed Aug 24 11:03:12 2022 ] 	Training loss: 0.9981.  Training acc: 97.87%.
+[ Wed Aug 24 11:03:12 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:03:12 2022 ] Eval epoch: 93
+[ Wed Aug 24 11:04:03 2022 ] 	Mean test loss of 156 batches: 2.265868.
+[ Wed Aug 24 11:04:04 2022 ] 	Top1: 56.81%
+[ Wed Aug 24 11:04:04 2022 ] 	Top5: 83.71%
+[ Wed Aug 24 11:04:05 2022 ] Training epoch: 94
+[ Wed Aug 24 11:04:29 2022 ] 	Training loss: 0.9863.  Training acc: 98.12%.
+[ Wed Aug 24 11:04:29 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:04:29 2022 ] Eval epoch: 94
+[ Wed Aug 24 11:05:18 2022 ] 	Mean test loss of 156 batches: 2.232147.
+[ Wed Aug 24 11:05:18 2022 ] 	Top1: 57.44%
+[ Wed Aug 24 11:05:19 2022 ] 	Top5: 84.31%
+[ Wed Aug 24 11:05:20 2022 ] Training epoch: 95
+[ Wed Aug 24 11:05:44 2022 ] 	Training loss: 0.9849.  Training acc: 97.99%.
+[ Wed Aug 24 11:05:44 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:05:44 2022 ] Eval epoch: 95
+[ Wed Aug 24 11:06:34 2022 ] 	Mean test loss of 156 batches: 2.258716.
+[ Wed Aug 24 11:06:34 2022 ] 	Top1: 56.94%
+[ Wed Aug 24 11:06:35 2022 ] 	Top5: 84.02%
+[ Wed Aug 24 11:06:35 2022 ] Training epoch: 96
+[ Wed Aug 24 11:06:59 2022 ] 	Training loss: 0.9804.  Training acc: 98.14%.
+[ Wed Aug 24 11:06:59 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:06:59 2022 ] Eval epoch: 96
+[ Wed Aug 24 11:07:48 2022 ] 	Mean test loss of 156 batches: 2.262389.
+[ Wed Aug 24 11:07:49 2022 ] 	Top1: 56.77%
+[ Wed Aug 24 11:07:49 2022 ] 	Top5: 83.83%
+[ Wed Aug 24 11:07:50 2022 ] Training epoch: 97
+[ Wed Aug 24 11:08:14 2022 ] 	Training loss: 0.9763.  Training acc: 98.32%.
+[ Wed Aug 24 11:08:14 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:08:14 2022 ] Eval epoch: 97
+[ Wed Aug 24 11:09:01 2022 ] 	Mean test loss of 156 batches: 2.262036.
+[ Wed Aug 24 11:09:02 2022 ] 	Top1: 56.70%
+[ Wed Aug 24 11:09:02 2022 ] 	Top5: 83.88%
+[ Wed Aug 24 11:09:03 2022 ] Training epoch: 98
+[ Wed Aug 24 11:09:27 2022 ] 	Training loss: 0.9761.  Training acc: 98.24%.
+[ Wed Aug 24 11:09:27 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:09:27 2022 ] Eval epoch: 98
+[ Wed Aug 24 11:10:15 2022 ] 	Mean test loss of 156 batches: 2.231607.
+[ Wed Aug 24 11:10:15 2022 ] 	Top1: 57.79%
+[ Wed Aug 24 11:10:16 2022 ] 	Top5: 84.39%
+[ Wed Aug 24 11:10:16 2022 ] Training epoch: 99
+[ Wed Aug 24 11:10:41 2022 ] 	Training loss: 0.9729.  Training acc: 98.17%.
+[ Wed Aug 24 11:10:41 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:10:41 2022 ] Eval epoch: 99
+[ Wed Aug 24 11:11:29 2022 ] 	Mean test loss of 156 batches: 2.282473.
+[ Wed Aug 24 11:11:30 2022 ] 	Top1: 56.16%
+[ Wed Aug 24 11:11:30 2022 ] 	Top5: 83.46%
+[ Wed Aug 24 11:11:31 2022 ] Training epoch: 100
+[ Wed Aug 24 11:11:55 2022 ] 	Training loss: 0.9658.  Training acc: 98.46%.
+[ Wed Aug 24 11:11:55 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:11:55 2022 ] Eval epoch: 100
+[ Wed Aug 24 11:12:42 2022 ] 	Mean test loss of 156 batches: 2.265840.
+[ Wed Aug 24 11:12:42 2022 ] 	Top1: 56.83%
+[ Wed Aug 24 11:12:43 2022 ] 	Top5: 83.80%
+[ Wed Aug 24 11:12:43 2022 ] Training epoch: 101
+[ Wed Aug 24 11:13:08 2022 ] 	Training loss: 0.9625.  Training acc: 98.55%.
+[ Wed Aug 24 11:13:08 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:13:08 2022 ] Eval epoch: 101
+[ Wed Aug 24 11:13:54 2022 ] 	Mean test loss of 156 batches: 2.262692.
+[ Wed Aug 24 11:13:54 2022 ] 	Top1: 56.75%
+[ Wed Aug 24 11:13:55 2022 ] 	Top5: 83.89%
+[ Wed Aug 24 11:13:55 2022 ] Training epoch: 102
+[ Wed Aug 24 11:14:19 2022 ] 	Training loss: 0.9613.  Training acc: 98.56%.
+[ Wed Aug 24 11:14:19 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:14:19 2022 ] Eval epoch: 102
+[ Wed Aug 24 11:15:07 2022 ] 	Mean test loss of 156 batches: 2.262566.
+[ Wed Aug 24 11:15:08 2022 ] 	Top1: 56.87%
+[ Wed Aug 24 11:15:08 2022 ] 	Top5: 83.80%
+[ Wed Aug 24 11:15:09 2022 ] Training epoch: 103
+[ Wed Aug 24 11:15:33 2022 ] 	Training loss: 0.9595.  Training acc: 98.68%.
+[ Wed Aug 24 11:15:33 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:15:33 2022 ] Eval epoch: 103
+[ Wed Aug 24 11:16:21 2022 ] 	Mean test loss of 156 batches: 2.265795.
+[ Wed Aug 24 11:16:21 2022 ] 	Top1: 56.66%
+[ Wed Aug 24 11:16:22 2022 ] 	Top5: 83.79%
+[ Wed Aug 24 11:16:22 2022 ] Training epoch: 104
+[ Wed Aug 24 11:16:46 2022 ] 	Training loss: 0.9623.  Training acc: 98.42%.
+[ Wed Aug 24 11:16:46 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:16:46 2022 ] Eval epoch: 104
+[ Wed Aug 24 11:17:34 2022 ] 	Mean test loss of 156 batches: 2.264543.
+[ Wed Aug 24 11:17:35 2022 ] 	Top1: 56.64%
+[ Wed Aug 24 11:17:35 2022 ] 	Top5: 83.86%
+[ Wed Aug 24 11:17:36 2022 ] Training epoch: 105
+[ Wed Aug 24 11:18:00 2022 ] 	Training loss: 0.9608.  Training acc: 98.72%.
+[ Wed Aug 24 11:18:00 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:18:00 2022 ] Eval epoch: 105
+[ Wed Aug 24 11:18:47 2022 ] 	Mean test loss of 156 batches: 2.278500.
+[ Wed Aug 24 11:18:48 2022 ] 	Top1: 56.27%
+[ Wed Aug 24 11:18:48 2022 ] 	Top5: 83.61%
+[ Wed Aug 24 11:18:49 2022 ] Training epoch: 106
+[ Wed Aug 24 11:19:13 2022 ] 	Training loss: 0.9578.  Training acc: 98.75%.
+[ Wed Aug 24 11:19:13 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:19:13 2022 ] Eval epoch: 106
+[ Wed Aug 24 11:20:01 2022 ] 	Mean test loss of 156 batches: 2.276535.
+[ Wed Aug 24 11:20:02 2022 ] 	Top1: 56.13%
+[ Wed Aug 24 11:20:02 2022 ] 	Top5: 83.74%
+[ Wed Aug 24 11:20:03 2022 ] Training epoch: 107
+[ Wed Aug 24 11:20:28 2022 ] 	Training loss: 0.9612.  Training acc: 98.60%.
+[ Wed Aug 24 11:20:28 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:20:28 2022 ] Eval epoch: 107
+[ Wed Aug 24 11:21:16 2022 ] 	Mean test loss of 156 batches: 2.262023.
+[ Wed Aug 24 11:21:17 2022 ] 	Top1: 56.89%
+[ Wed Aug 24 11:21:17 2022 ] 	Top5: 83.81%
+[ Wed Aug 24 11:21:18 2022 ] Training epoch: 108
+[ Wed Aug 24 11:21:42 2022 ] 	Training loss: 0.9575.  Training acc: 98.94%.
+[ Wed Aug 24 11:21:42 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:21:42 2022 ] Eval epoch: 108
+[ Wed Aug 24 11:22:32 2022 ] 	Mean test loss of 156 batches: 2.263559.
+[ Wed Aug 24 11:22:32 2022 ] 	Top1: 56.77%
+[ Wed Aug 24 11:22:33 2022 ] 	Top5: 83.81%
+[ Wed Aug 24 11:22:33 2022 ] Training epoch: 109
+[ Wed Aug 24 11:22:57 2022 ] 	Training loss: 0.9579.  Training acc: 98.81%.
+[ Wed Aug 24 11:22:57 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:22:57 2022 ] Eval epoch: 109
+[ Wed Aug 24 11:23:42 2022 ] 	Mean test loss of 156 batches: 2.266089.
+[ Wed Aug 24 11:23:42 2022 ] 	Top1: 56.79%
+[ Wed Aug 24 11:23:43 2022 ] 	Top5: 83.70%
+[ Wed Aug 24 11:23:43 2022 ] Training epoch: 110
+[ Wed Aug 24 11:24:07 2022 ] 	Training loss: 0.9593.  Training acc: 98.73%.
+[ Wed Aug 24 11:24:07 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 11:24:07 2022 ] Eval epoch: 110
+[ Wed Aug 24 11:24:52 2022 ] 	Mean test loss of 156 batches: 2.253952.
+[ Wed Aug 24 11:24:52 2022 ] 	Top1: 57.03%
+[ Wed Aug 24 11:24:53 2022 ] 	Top5: 84.05%

ckpt/Others/InfoGCN/ntu_120_xsub_LT/b/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85a08c37381871f063ebd018697e6bbc6ec443e285e0bd0ca3ed78747b5965d0
+size 26776168

ckpt/Others/InfoGCN/ntu_120_xsub_LT/b/log.txt

@@ -0,0 +1,776 @@
+[ Tue Aug 23 14:40:44 2022 ] using warm up, epoch: 5
+[ Tue Aug 23 14:42:18 2022 ] using warm up, epoch: 5
+[ Tue Aug 23 14:42:40 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 120, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu120/NTU120_CSub_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': False, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_120_xsub_LT/b', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 1, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 256, 'test_batch_size': 256, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Tue Aug 23 14:42:40 2022 ] # Parameters: 1572227
+[ Tue Aug 23 14:42:40 2022 ] Training epoch: 1
+[ Tue Aug 23 14:43:19 2022 ] 	Training loss: 5.4095.  Training acc: 7.79%.
+[ Tue Aug 23 14:43:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:43:19 2022 ] Eval epoch: 1
+[ Tue Aug 23 14:43:57 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:43:57 2022 ] 	Top1: 1.38%
+[ Tue Aug 23 14:43:58 2022 ] 	Top5: 5.14%
+[ Tue Aug 23 14:43:58 2022 ] Training epoch: 2
+[ Tue Aug 23 14:44:33 2022 ] 	Training loss: 3.6863.  Training acc: 18.61%.
+[ Tue Aug 23 14:44:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:44:33 2022 ] Eval epoch: 2
+[ Tue Aug 23 14:45:11 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:45:11 2022 ] 	Top1: 5.89%
+[ Tue Aug 23 14:45:12 2022 ] 	Top5: 15.78%
+[ Tue Aug 23 14:45:12 2022 ] Training epoch: 3
+[ Tue Aug 23 14:45:47 2022 ] 	Training loss: 3.2704.  Training acc: 27.33%.
+[ Tue Aug 23 14:45:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:45:47 2022 ] Eval epoch: 3
+[ Tue Aug 23 14:46:25 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:46:25 2022 ] 	Top1: 8.94%
+[ Tue Aug 23 14:46:25 2022 ] 	Top5: 23.31%
+[ Tue Aug 23 14:46:26 2022 ] Training epoch: 4
+[ Tue Aug 23 14:47:01 2022 ] 	Training loss: 2.8931.  Training acc: 35.96%.
+[ Tue Aug 23 14:47:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:47:01 2022 ] Eval epoch: 4
+[ Tue Aug 23 14:47:38 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:47:39 2022 ] 	Top1: 13.41%
+[ Tue Aug 23 14:47:39 2022 ] 	Top5: 30.77%
+[ Tue Aug 23 14:47:40 2022 ] Training epoch: 5
+[ Tue Aug 23 14:48:15 2022 ] 	Training loss: 2.6555.  Training acc: 42.81%.
+[ Tue Aug 23 14:48:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:48:15 2022 ] Eval epoch: 5
+[ Tue Aug 23 14:48:52 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:48:53 2022 ] 	Top1: 15.26%
+[ Tue Aug 23 14:48:53 2022 ] 	Top5: 35.34%
+[ Tue Aug 23 14:48:54 2022 ] Training epoch: 6
+[ Tue Aug 23 14:49:29 2022 ] 	Training loss: 2.4608.  Training acc: 48.43%.
+[ Tue Aug 23 14:49:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:49:29 2022 ] Eval epoch: 6
+[ Tue Aug 23 14:50:05 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:50:05 2022 ] 	Top1: 15.98%
+[ Tue Aug 23 14:50:06 2022 ] 	Top5: 33.57%
+[ Tue Aug 23 14:50:06 2022 ] Training epoch: 7
+[ Tue Aug 23 14:50:41 2022 ] 	Training loss: 2.3332.  Training acc: 52.29%.
+[ Tue Aug 23 14:50:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:50:41 2022 ] Eval epoch: 7
+[ Tue Aug 23 14:51:18 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:51:18 2022 ] 	Top1: 20.22%
+[ Tue Aug 23 14:51:18 2022 ] 	Top5: 44.52%
+[ Tue Aug 23 14:51:19 2022 ] Training epoch: 8
+[ Tue Aug 23 14:51:54 2022 ] 	Training loss: 2.2448.  Training acc: 54.58%.
+[ Tue Aug 23 14:51:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:51:54 2022 ] Eval epoch: 8
+[ Tue Aug 23 14:52:30 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:52:30 2022 ] 	Top1: 20.58%
+[ Tue Aug 23 14:52:31 2022 ] 	Top5: 42.93%
+[ Tue Aug 23 14:52:31 2022 ] Training epoch: 9
+[ Tue Aug 23 14:53:06 2022 ] 	Training loss: 2.1707.  Training acc: 57.19%.
+[ Tue Aug 23 14:53:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:53:06 2022 ] Eval epoch: 9
+[ Tue Aug 23 14:53:42 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:53:43 2022 ] 	Top1: 20.87%
+[ Tue Aug 23 14:53:43 2022 ] 	Top5: 50.15%
+[ Tue Aug 23 14:53:44 2022 ] Training epoch: 10
+[ Tue Aug 23 14:54:18 2022 ] 	Training loss: 2.0964.  Training acc: 59.73%.
+[ Tue Aug 23 14:54:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:54:18 2022 ] Eval epoch: 10
+[ Tue Aug 23 14:54:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:54:55 2022 ] 	Top1: 23.68%
+[ Tue Aug 23 14:54:56 2022 ] 	Top5: 52.92%
+[ Tue Aug 23 14:54:57 2022 ] Training epoch: 11
+[ Tue Aug 23 14:55:32 2022 ] 	Training loss: 2.0481.  Training acc: 61.07%.
+[ Tue Aug 23 14:55:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:55:32 2022 ] Eval epoch: 11
+[ Tue Aug 23 14:56:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:56:09 2022 ] 	Top1: 27.09%
+[ Tue Aug 23 14:56:09 2022 ] 	Top5: 56.35%
+[ Tue Aug 23 14:56:10 2022 ] Training epoch: 12
+[ Tue Aug 23 14:56:44 2022 ] 	Training loss: 1.9865.  Training acc: 63.24%.
+[ Tue Aug 23 14:56:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:56:44 2022 ] Eval epoch: 12
+[ Tue Aug 23 14:57:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:57:21 2022 ] 	Top1: 26.17%
+[ Tue Aug 23 14:57:21 2022 ] 	Top5: 55.01%
+[ Tue Aug 23 14:57:22 2022 ] Training epoch: 13
+[ Tue Aug 23 14:57:56 2022 ] 	Training loss: 1.9374.  Training acc: 64.78%.
+[ Tue Aug 23 14:57:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:57:56 2022 ] Eval epoch: 13
+[ Tue Aug 23 14:58:33 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:58:33 2022 ] 	Top1: 28.96%
+[ Tue Aug 23 14:58:33 2022 ] 	Top5: 57.41%
+[ Tue Aug 23 14:58:34 2022 ] Training epoch: 14
+[ Tue Aug 23 14:59:09 2022 ] 	Training loss: 1.9006.  Training acc: 66.40%.
+[ Tue Aug 23 14:59:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:59:09 2022 ] Eval epoch: 14
+[ Tue Aug 23 14:59:45 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:59:45 2022 ] 	Top1: 28.58%
+[ Tue Aug 23 14:59:46 2022 ] 	Top5: 60.50%
+[ Tue Aug 23 14:59:46 2022 ] Training epoch: 15
+[ Tue Aug 23 15:00:21 2022 ] 	Training loss: 1.8643.  Training acc: 67.29%.
+[ Tue Aug 23 15:00:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:00:21 2022 ] Eval epoch: 15
+[ Tue Aug 23 15:00:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:00:57 2022 ] 	Top1: 27.88%
+[ Tue Aug 23 15:00:57 2022 ] 	Top5: 59.92%
+[ Tue Aug 23 15:00:58 2022 ] Training epoch: 16
+[ Tue Aug 23 15:01:32 2022 ] 	Training loss: 1.8452.  Training acc: 67.46%.
+[ Tue Aug 23 15:01:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:01:32 2022 ] Eval epoch: 16
+[ Tue Aug 23 15:02:07 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:02:08 2022 ] 	Top1: 28.55%
+[ Tue Aug 23 15:02:08 2022 ] 	Top5: 61.72%
+[ Tue Aug 23 15:02:09 2022 ] Training epoch: 17
+[ Tue Aug 23 15:02:43 2022 ] 	Training loss: 1.8135.  Training acc: 68.95%.
+[ Tue Aug 23 15:02:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:02:43 2022 ] Eval epoch: 17
+[ Tue Aug 23 15:03:19 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:03:19 2022 ] 	Top1: 29.00%
+[ Tue Aug 23 15:03:20 2022 ] 	Top5: 62.21%
+[ Tue Aug 23 15:03:21 2022 ] Training epoch: 18
+[ Tue Aug 23 15:03:55 2022 ] 	Training loss: 1.7829.  Training acc: 69.47%.
+[ Tue Aug 23 15:03:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:03:55 2022 ] Eval epoch: 18
+[ Tue Aug 23 15:04:31 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:04:31 2022 ] 	Top1: 34.13%
+[ Tue Aug 23 15:04:31 2022 ] 	Top5: 69.04%
+[ Tue Aug 23 15:04:32 2022 ] Training epoch: 19
+[ Tue Aug 23 15:05:06 2022 ] 	Training loss: 1.7483.  Training acc: 71.15%.
+[ Tue Aug 23 15:05:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:05:06 2022 ] Eval epoch: 19
+[ Tue Aug 23 15:05:42 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:05:43 2022 ] 	Top1: 34.86%
+[ Tue Aug 23 15:05:43 2022 ] 	Top5: 68.67%
+[ Tue Aug 23 15:05:44 2022 ] Training epoch: 20
+[ Tue Aug 23 15:06:18 2022 ] 	Training loss: 1.7192.  Training acc: 71.68%.
+[ Tue Aug 23 15:06:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:06:18 2022 ] Eval epoch: 20
+[ Tue Aug 23 15:06:54 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:06:55 2022 ] 	Top1: 34.16%
+[ Tue Aug 23 15:06:55 2022 ] 	Top5: 68.55%
+[ Tue Aug 23 15:06:55 2022 ] Training epoch: 21
+[ Tue Aug 23 15:07:30 2022 ] 	Training loss: 1.7063.  Training acc: 72.25%.
+[ Tue Aug 23 15:07:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:07:30 2022 ] Eval epoch: 21
+[ Tue Aug 23 15:08:06 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:08:06 2022 ] 	Top1: 36.63%
+[ Tue Aug 23 15:08:07 2022 ] 	Top5: 71.82%
+[ Tue Aug 23 15:08:08 2022 ] Training epoch: 22
+[ Tue Aug 23 15:08:42 2022 ] 	Training loss: 1.6775.  Training acc: 73.27%.
+[ Tue Aug 23 15:08:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:08:42 2022 ] Eval epoch: 22
+[ Tue Aug 23 15:09:18 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:09:19 2022 ] 	Top1: 35.68%
+[ Tue Aug 23 15:09:19 2022 ] 	Top5: 69.39%
+[ Tue Aug 23 15:09:19 2022 ] Training epoch: 23
+[ Tue Aug 23 15:09:54 2022 ] 	Training loss: 1.6598.  Training acc: 74.04%.
+[ Tue Aug 23 15:09:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:09:54 2022 ] Eval epoch: 23
+[ Tue Aug 23 15:10:30 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:10:30 2022 ] 	Top1: 37.24%
+[ Tue Aug 23 15:10:31 2022 ] 	Top5: 72.03%
+[ Tue Aug 23 15:10:32 2022 ] Training epoch: 24
+[ Tue Aug 23 15:11:06 2022 ] 	Training loss: 1.6479.  Training acc: 74.23%.
+[ Tue Aug 23 15:11:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:11:06 2022 ] Eval epoch: 24
+[ Tue Aug 23 15:11:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:11:43 2022 ] 	Top1: 35.99%
+[ Tue Aug 23 15:11:44 2022 ] 	Top5: 71.02%
+[ Tue Aug 23 15:11:44 2022 ] Training epoch: 25
+[ Tue Aug 23 15:12:19 2022 ] 	Training loss: 1.6237.  Training acc: 75.05%.
+[ Tue Aug 23 15:12:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:12:19 2022 ] Eval epoch: 25
+[ Tue Aug 23 15:12:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:12:56 2022 ] 	Top1: 35.15%
+[ Tue Aug 23 15:12:56 2022 ] 	Top5: 71.80%
+[ Tue Aug 23 15:12:56 2022 ] Training epoch: 26
+[ Tue Aug 23 15:13:31 2022 ] 	Training loss: 1.6009.  Training acc: 75.46%.
+[ Tue Aug 23 15:13:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:13:31 2022 ] Eval epoch: 26
+[ Tue Aug 23 15:14:07 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:14:08 2022 ] 	Top1: 37.57%
+[ Tue Aug 23 15:14:08 2022 ] 	Top5: 75.64%
+[ Tue Aug 23 15:14:09 2022 ] Training epoch: 27
+[ Tue Aug 23 15:14:43 2022 ] 	Training loss: 1.5917.  Training acc: 75.95%.
+[ Tue Aug 23 15:14:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:14:43 2022 ] Eval epoch: 27
+[ Tue Aug 23 15:15:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:15:20 2022 ] 	Top1: 33.75%
+[ Tue Aug 23 15:15:21 2022 ] 	Top5: 72.28%
+[ Tue Aug 23 15:15:21 2022 ] Training epoch: 28
+[ Tue Aug 23 15:15:55 2022 ] 	Training loss: 1.5648.  Training acc: 77.06%.
+[ Tue Aug 23 15:15:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:15:55 2022 ] Eval epoch: 28
+[ Tue Aug 23 15:16:31 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:16:32 2022 ] 	Top1: 40.71%
+[ Tue Aug 23 15:16:32 2022 ] 	Top5: 78.49%
+[ Tue Aug 23 15:16:33 2022 ] Training epoch: 29
+[ Tue Aug 23 15:17:07 2022 ] 	Training loss: 1.5431.  Training acc: 77.60%.
+[ Tue Aug 23 15:17:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:17:07 2022 ] Eval epoch: 29
+[ Tue Aug 23 15:17:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:17:44 2022 ] 	Top1: 39.54%
+[ Tue Aug 23 15:17:44 2022 ] 	Top5: 77.03%
+[ Tue Aug 23 15:17:44 2022 ] Training epoch: 30
+[ Tue Aug 23 15:18:19 2022 ] 	Training loss: 1.5227.  Training acc: 78.11%.
+[ Tue Aug 23 15:18:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:18:19 2022 ] Eval epoch: 30
+[ Tue Aug 23 15:18:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:18:56 2022 ] 	Top1: 41.56%
+[ Tue Aug 23 15:18:56 2022 ] 	Top5: 77.95%
+[ Tue Aug 23 15:18:57 2022 ] Training epoch: 31
+[ Tue Aug 23 15:19:31 2022 ] 	Training loss: 1.5087.  Training acc: 78.56%.
+[ Tue Aug 23 15:19:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:19:31 2022 ] Eval epoch: 31
+[ Tue Aug 23 15:20:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:20:09 2022 ] 	Top1: 40.46%
+[ Tue Aug 23 15:20:09 2022 ] 	Top5: 78.40%
+[ Tue Aug 23 15:20:09 2022 ] Training epoch: 32
+[ Tue Aug 23 15:20:44 2022 ] 	Training loss: 1.4852.  Training acc: 79.75%.
+[ Tue Aug 23 15:20:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:20:44 2022 ] Eval epoch: 32
+[ Tue Aug 23 15:21:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:21:20 2022 ] 	Top1: 41.08%
+[ Tue Aug 23 15:21:20 2022 ] 	Top5: 78.87%
+[ Tue Aug 23 15:21:21 2022 ] Training epoch: 33
+[ Tue Aug 23 15:21:55 2022 ] 	Training loss: 1.4729.  Training acc: 79.95%.
+[ Tue Aug 23 15:21:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:21:55 2022 ] Eval epoch: 33
+[ Tue Aug 23 15:22:32 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:22:32 2022 ] 	Top1: 44.42%
+[ Tue Aug 23 15:22:33 2022 ] 	Top5: 81.45%
+[ Tue Aug 23 15:22:33 2022 ] Training epoch: 34
+[ Tue Aug 23 15:23:08 2022 ] 	Training loss: 1.4584.  Training acc: 80.46%.
+[ Tue Aug 23 15:23:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:23:08 2022 ] Eval epoch: 34
+[ Tue Aug 23 15:23:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:23:44 2022 ] 	Top1: 41.36%
+[ Tue Aug 23 15:23:44 2022 ] 	Top5: 76.87%
+[ Tue Aug 23 15:23:45 2022 ] Training epoch: 35
+[ Tue Aug 23 15:24:20 2022 ] 	Training loss: 1.4338.  Training acc: 81.40%.
+[ Tue Aug 23 15:24:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:24:20 2022 ] Eval epoch: 35
+[ Tue Aug 23 15:24:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:24:56 2022 ] 	Top1: 43.76%
+[ Tue Aug 23 15:24:57 2022 ] 	Top5: 81.00%
+[ Tue Aug 23 15:24:57 2022 ] Training epoch: 36
+[ Tue Aug 23 15:25:32 2022 ] 	Training loss: 1.4248.  Training acc: 81.66%.
+[ Tue Aug 23 15:25:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:25:32 2022 ] Eval epoch: 36
+[ Tue Aug 23 15:26:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:26:09 2022 ] 	Top1: 43.53%
+[ Tue Aug 23 15:26:09 2022 ] 	Top5: 80.06%
+[ Tue Aug 23 15:26:10 2022 ] Training epoch: 37
+[ Tue Aug 23 15:26:44 2022 ] 	Training loss: 1.4040.  Training acc: 82.38%.
+[ Tue Aug 23 15:26:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:26:44 2022 ] Eval epoch: 37
+[ Tue Aug 23 15:27:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:27:21 2022 ] 	Top1: 41.06%
+[ Tue Aug 23 15:27:21 2022 ] 	Top5: 80.19%
+[ Tue Aug 23 15:27:21 2022 ] Training epoch: 38
+[ Tue Aug 23 15:27:56 2022 ] 	Training loss: 1.3962.  Training acc: 82.85%.
+[ Tue Aug 23 15:27:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:27:56 2022 ] Eval epoch: 38
+[ Tue Aug 23 15:28:32 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:28:32 2022 ] 	Top1: 36.33%
+[ Tue Aug 23 15:28:33 2022 ] 	Top5: 73.64%
+[ Tue Aug 23 15:28:33 2022 ] Training epoch: 39
+[ Tue Aug 23 15:29:08 2022 ] 	Training loss: 1.3769.  Training acc: 83.37%.
+[ Tue Aug 23 15:29:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:29:08 2022 ] Eval epoch: 39
+[ Tue Aug 23 15:29:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:29:44 2022 ] 	Top1: 40.38%
+[ Tue Aug 23 15:29:45 2022 ] 	Top5: 79.43%
+[ Tue Aug 23 15:29:45 2022 ] Training epoch: 40
+[ Tue Aug 23 15:30:19 2022 ] 	Training loss: 1.3728.  Training acc: 83.57%.
+[ Tue Aug 23 15:30:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:30:19 2022 ] Eval epoch: 40
+[ Tue Aug 23 15:30:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:30:56 2022 ] 	Top1: 43.66%
+[ Tue Aug 23 15:30:56 2022 ] 	Top5: 81.09%
+[ Tue Aug 23 15:30:57 2022 ] Training epoch: 41
+[ Tue Aug 23 15:31:31 2022 ] 	Training loss: 1.3544.  Training acc: 84.09%.
+[ Tue Aug 23 15:31:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:31:31 2022 ] Eval epoch: 41
+[ Tue Aug 23 15:32:07 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:32:07 2022 ] 	Top1: 45.64%
+[ Tue Aug 23 15:32:08 2022 ] 	Top5: 83.30%
+[ Tue Aug 23 15:32:09 2022 ] Training epoch: 42
+[ Tue Aug 23 15:32:43 2022 ] 	Training loss: 1.3366.  Training acc: 84.77%.
+[ Tue Aug 23 15:32:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:32:43 2022 ] Eval epoch: 42
+[ Tue Aug 23 15:33:19 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:33:19 2022 ] 	Top1: 42.23%
+[ Tue Aug 23 15:33:20 2022 ] 	Top5: 79.58%
+[ Tue Aug 23 15:33:20 2022 ] Training epoch: 43
+[ Tue Aug 23 15:33:55 2022 ] 	Training loss: 1.3312.  Training acc: 84.88%.
+[ Tue Aug 23 15:33:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:33:55 2022 ] Eval epoch: 43
+[ Tue Aug 23 15:34:32 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:34:32 2022 ] 	Top1: 43.10%
+[ Tue Aug 23 15:34:32 2022 ] 	Top5: 78.95%
+[ Tue Aug 23 15:34:33 2022 ] Training epoch: 44
+[ Tue Aug 23 15:35:07 2022 ] 	Training loss: 1.3220.  Training acc: 85.47%.
+[ Tue Aug 23 15:35:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:35:07 2022 ] Eval epoch: 44
+[ Tue Aug 23 15:35:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:35:44 2022 ] 	Top1: 34.94%
+[ Tue Aug 23 15:35:44 2022 ] 	Top5: 73.24%
+[ Tue Aug 23 15:35:45 2022 ] Training epoch: 45
+[ Tue Aug 23 15:36:19 2022 ] 	Training loss: 1.3090.  Training acc: 85.62%.
+[ Tue Aug 23 15:36:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:36:19 2022 ] Eval epoch: 45
+[ Tue Aug 23 15:36:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:36:55 2022 ] 	Top1: 44.51%
+[ Tue Aug 23 15:36:56 2022 ] 	Top5: 79.88%
+[ Tue Aug 23 15:36:56 2022 ] Training epoch: 46
+[ Tue Aug 23 15:37:31 2022 ] 	Training loss: 1.2984.  Training acc: 85.76%.
+[ Tue Aug 23 15:37:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:37:31 2022 ] Eval epoch: 46
+[ Tue Aug 23 15:38:07 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:38:07 2022 ] 	Top1: 37.26%
+[ Tue Aug 23 15:38:08 2022 ] 	Top5: 75.67%
+[ Tue Aug 23 15:38:08 2022 ] Training epoch: 47
+[ Tue Aug 23 15:38:42 2022 ] 	Training loss: 1.2911.  Training acc: 86.32%.
+[ Tue Aug 23 15:38:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:38:42 2022 ] Eval epoch: 47
+[ Tue Aug 23 15:39:19 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:39:19 2022 ] 	Top1: 48.43%
+[ Tue Aug 23 15:39:19 2022 ] 	Top5: 84.47%
+[ Tue Aug 23 15:39:20 2022 ] Training epoch: 48
+[ Tue Aug 23 15:39:55 2022 ] 	Training loss: 1.2826.  Training acc: 86.52%.
+[ Tue Aug 23 15:39:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:39:55 2022 ] Eval epoch: 48
+[ Tue Aug 23 15:40:31 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:40:31 2022 ] 	Top1: 44.02%
+[ Tue Aug 23 15:40:32 2022 ] 	Top5: 80.07%
+[ Tue Aug 23 15:40:32 2022 ] Training epoch: 49
+[ Tue Aug 23 15:41:07 2022 ] 	Training loss: 1.2585.  Training acc: 87.55%.
+[ Tue Aug 23 15:41:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:41:07 2022 ] Eval epoch: 49
+[ Tue Aug 23 15:41:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:41:43 2022 ] 	Top1: 51.64%
+[ Tue Aug 23 15:41:44 2022 ] 	Top5: 86.65%
+[ Tue Aug 23 15:41:44 2022 ] Training epoch: 50
+[ Tue Aug 23 15:42:19 2022 ] 	Training loss: 1.2544.  Training acc: 87.40%.
+[ Tue Aug 23 15:42:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:42:19 2022 ] Eval epoch: 50
+[ Tue Aug 23 15:42:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:42:55 2022 ] 	Top1: 43.97%
+[ Tue Aug 23 15:42:55 2022 ] 	Top5: 80.74%
+[ Tue Aug 23 15:42:56 2022 ] Training epoch: 51
+[ Tue Aug 23 15:43:30 2022 ] 	Training loss: 1.2440.  Training acc: 87.73%.
+[ Tue Aug 23 15:43:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:43:30 2022 ] Eval epoch: 51
+[ Tue Aug 23 15:44:06 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:44:07 2022 ] 	Top1: 42.86%
+[ Tue Aug 23 15:44:07 2022 ] 	Top5: 79.51%
+[ Tue Aug 23 15:44:08 2022 ] Training epoch: 52
+[ Tue Aug 23 15:44:42 2022 ] 	Training loss: 1.2474.  Training acc: 87.71%.
+[ Tue Aug 23 15:44:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:44:42 2022 ] Eval epoch: 52
+[ Tue Aug 23 15:45:18 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:45:19 2022 ] 	Top1: 45.50%
+[ Tue Aug 23 15:45:19 2022 ] 	Top5: 81.59%
+[ Tue Aug 23 15:45:19 2022 ] Training epoch: 53
+[ Tue Aug 23 15:45:54 2022 ] 	Training loss: 1.2242.  Training acc: 88.48%.
+[ Tue Aug 23 15:45:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:45:54 2022 ] Eval epoch: 53
+[ Tue Aug 23 15:46:30 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:46:30 2022 ] 	Top1: 50.31%
+[ Tue Aug 23 15:46:30 2022 ] 	Top5: 85.54%
+[ Tue Aug 23 15:46:31 2022 ] Training epoch: 54
+[ Tue Aug 23 15:47:05 2022 ] 	Training loss: 1.2196.  Training acc: 88.48%.
+[ Tue Aug 23 15:47:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:47:05 2022 ] Eval epoch: 54
+[ Tue Aug 23 15:47:41 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:47:42 2022 ] 	Top1: 49.56%
+[ Tue Aug 23 15:47:42 2022 ] 	Top5: 84.23%
+[ Tue Aug 23 15:47:42 2022 ] Training epoch: 55
+[ Tue Aug 23 15:48:17 2022 ] 	Training loss: 1.2144.  Training acc: 88.93%.
+[ Tue Aug 23 15:48:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:48:17 2022 ] Eval epoch: 55
+[ Tue Aug 23 15:48:54 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:48:54 2022 ] 	Top1: 47.84%
+[ Tue Aug 23 15:48:55 2022 ] 	Top5: 81.85%
+[ Tue Aug 23 15:48:55 2022 ] Training epoch: 56
+[ Tue Aug 23 15:49:30 2022 ] 	Training loss: 1.2089.  Training acc: 89.08%.
+[ Tue Aug 23 15:49:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:49:30 2022 ] Eval epoch: 56
+[ Tue Aug 23 15:50:06 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:50:07 2022 ] 	Top1: 48.73%
+[ Tue Aug 23 15:50:07 2022 ] 	Top5: 84.54%
+[ Tue Aug 23 15:50:08 2022 ] Training epoch: 57
+[ Tue Aug 23 15:50:42 2022 ] 	Training loss: 1.1997.  Training acc: 89.33%.
+[ Tue Aug 23 15:50:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:50:42 2022 ] Eval epoch: 57
+[ Tue Aug 23 15:51:19 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:51:20 2022 ] 	Top1: 52.90%
+[ Tue Aug 23 15:51:20 2022 ] 	Top5: 85.82%
+[ Tue Aug 23 15:51:21 2022 ] Training epoch: 58
+[ Tue Aug 23 15:51:55 2022 ] 	Training loss: 1.1934.  Training acc: 89.59%.
+[ Tue Aug 23 15:51:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:51:55 2022 ] Eval epoch: 58
+[ Tue Aug 23 15:52:32 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:52:32 2022 ] 	Top1: 52.76%
+[ Tue Aug 23 15:52:33 2022 ] 	Top5: 85.56%
+[ Tue Aug 23 15:52:33 2022 ] Training epoch: 59
+[ Tue Aug 23 15:53:08 2022 ] 	Training loss: 1.1850.  Training acc: 90.01%.
+[ Tue Aug 23 15:53:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:53:08 2022 ] Eval epoch: 59
+[ Tue Aug 23 15:53:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:53:45 2022 ] 	Top1: 51.31%
+[ Tue Aug 23 15:53:45 2022 ] 	Top5: 85.48%
+[ Tue Aug 23 15:53:46 2022 ] Training epoch: 60
+[ Tue Aug 23 15:54:20 2022 ] 	Training loss: 1.1786.  Training acc: 90.03%.
+[ Tue Aug 23 15:54:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:54:20 2022 ] Eval epoch: 60
+[ Tue Aug 23 15:54:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:54:56 2022 ] 	Top1: 52.67%
+[ Tue Aug 23 15:54:57 2022 ] 	Top5: 85.22%
+[ Tue Aug 23 15:54:57 2022 ] Training epoch: 61
+[ Tue Aug 23 15:55:32 2022 ] 	Training loss: 1.1672.  Training acc: 90.47%.
+[ Tue Aug 23 15:55:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:55:32 2022 ] Eval epoch: 61
+[ Tue Aug 23 15:56:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:56:08 2022 ] 	Top1: 45.46%
+[ Tue Aug 23 15:56:09 2022 ] 	Top5: 79.90%
+[ Tue Aug 23 15:56:09 2022 ] Training epoch: 62
+[ Tue Aug 23 15:56:44 2022 ] 	Training loss: 1.1636.  Training acc: 90.57%.
+[ Tue Aug 23 15:56:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:56:44 2022 ] Eval epoch: 62
+[ Tue Aug 23 15:57:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:57:20 2022 ] 	Top1: 49.42%
+[ Tue Aug 23 15:57:21 2022 ] 	Top5: 83.58%
+[ Tue Aug 23 15:57:21 2022 ] Training epoch: 63
+[ Tue Aug 23 15:57:56 2022 ] 	Training loss: 1.1515.  Training acc: 91.08%.
+[ Tue Aug 23 15:57:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:57:56 2022 ] Eval epoch: 63
+[ Tue Aug 23 15:58:31 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:58:32 2022 ] 	Top1: 49.29%
+[ Tue Aug 23 15:58:32 2022 ] 	Top5: 84.02%
+[ Tue Aug 23 15:58:33 2022 ] Training epoch: 64
+[ Tue Aug 23 15:59:07 2022 ] 	Training loss: 1.1488.  Training acc: 91.25%.
+[ Tue Aug 23 15:59:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:59:07 2022 ] Eval epoch: 64
+[ Tue Aug 23 15:59:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:59:44 2022 ] 	Top1: 47.84%
+[ Tue Aug 23 15:59:44 2022 ] 	Top5: 82.01%
+[ Tue Aug 23 15:59:45 2022 ] Training epoch: 65
+[ Tue Aug 23 16:00:19 2022 ] 	Training loss: 1.1398.  Training acc: 91.58%.
+[ Tue Aug 23 16:00:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:00:19 2022 ] Eval epoch: 65
+[ Tue Aug 23 16:00:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:00:55 2022 ] 	Top1: 52.95%
+[ Tue Aug 23 16:00:56 2022 ] 	Top5: 85.08%
+[ Tue Aug 23 16:00:56 2022 ] Training epoch: 66
+[ Tue Aug 23 16:01:31 2022 ] 	Training loss: 1.1427.  Training acc: 91.16%.
+[ Tue Aug 23 16:01:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:01:31 2022 ] Eval epoch: 66
+[ Tue Aug 23 16:02:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:02:08 2022 ] 	Top1: 44.36%
+[ Tue Aug 23 16:02:08 2022 ] 	Top5: 78.85%
+[ Tue Aug 23 16:02:09 2022 ] Training epoch: 67
+[ Tue Aug 23 16:02:44 2022 ] 	Training loss: 1.1240.  Training acc: 91.85%.
+[ Tue Aug 23 16:02:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:02:44 2022 ] Eval epoch: 67
+[ Tue Aug 23 16:03:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:03:20 2022 ] 	Top1: 45.40%
+[ Tue Aug 23 16:03:21 2022 ] 	Top5: 80.10%
+[ Tue Aug 23 16:03:21 2022 ] Training epoch: 68
+[ Tue Aug 23 16:03:56 2022 ] 	Training loss: 1.1287.  Training acc: 91.94%.
+[ Tue Aug 23 16:03:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:03:56 2022 ] Eval epoch: 68
+[ Tue Aug 23 16:04:34 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:04:34 2022 ] 	Top1: 51.75%
+[ Tue Aug 23 16:04:35 2022 ] 	Top5: 85.61%
+[ Tue Aug 23 16:04:35 2022 ] Training epoch: 69
+[ Tue Aug 23 16:05:10 2022 ] 	Training loss: 1.1259.  Training acc: 91.73%.
+[ Tue Aug 23 16:05:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:05:10 2022 ] Eval epoch: 69
+[ Tue Aug 23 16:05:48 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:05:48 2022 ] 	Top1: 52.07%
+[ Tue Aug 23 16:05:49 2022 ] 	Top5: 84.34%
+[ Tue Aug 23 16:05:49 2022 ] Training epoch: 70
+[ Tue Aug 23 16:06:24 2022 ] 	Training loss: 1.1024.  Training acc: 92.78%.
+[ Tue Aug 23 16:06:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:06:24 2022 ] Eval epoch: 70
+[ Tue Aug 23 16:07:02 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:07:02 2022 ] 	Top1: 50.55%
+[ Tue Aug 23 16:07:03 2022 ] 	Top5: 84.05%
+[ Tue Aug 23 16:07:03 2022 ] Training epoch: 71
+[ Tue Aug 23 16:07:39 2022 ] 	Training loss: 1.0977.  Training acc: 92.79%.
+[ Tue Aug 23 16:07:39 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Tue Aug 23 16:07:39 2022 ] Eval epoch: 71
+[ Tue Aug 23 16:08:15 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:08:15 2022 ] 	Top1: 51.23%
+[ Tue Aug 23 16:08:15 2022 ] 	Top5: 83.56%
+[ Tue Aug 23 16:08:16 2022 ] Training epoch: 72
+[ Tue Aug 23 16:08:51 2022 ] 	Training loss: 1.0985.  Training acc: 92.93%.
+[ Tue Aug 23 16:08:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:08:51 2022 ] Eval epoch: 72
+[ Tue Aug 23 16:09:27 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:09:27 2022 ] 	Top1: 50.88%
+[ Tue Aug 23 16:09:28 2022 ] 	Top5: 84.19%
+[ Tue Aug 23 16:09:28 2022 ] Training epoch: 73
+[ Tue Aug 23 16:10:03 2022 ] 	Training loss: 1.0934.  Training acc: 92.98%.
+[ Tue Aug 23 16:10:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:10:03 2022 ] Eval epoch: 73
+[ Tue Aug 23 16:10:39 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:10:40 2022 ] 	Top1: 51.76%
+[ Tue Aug 23 16:10:40 2022 ] 	Top5: 84.98%
+[ Tue Aug 23 16:10:40 2022 ] Training epoch: 74
+[ Tue Aug 23 16:11:15 2022 ] 	Training loss: 1.0938.  Training acc: 92.71%.
+[ Tue Aug 23 16:11:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:11:15 2022 ] Eval epoch: 74
+[ Tue Aug 23 16:11:52 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:11:52 2022 ] 	Top1: 44.55%
+[ Tue Aug 23 16:11:52 2022 ] 	Top5: 79.75%
+[ Tue Aug 23 16:11:53 2022 ] Training epoch: 75
+[ Tue Aug 23 16:12:28 2022 ] 	Training loss: 1.0812.  Training acc: 93.38%.
+[ Tue Aug 23 16:12:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:12:28 2022 ] Eval epoch: 75
+[ Tue Aug 23 16:13:05 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:13:05 2022 ] 	Top1: 52.59%
+[ Tue Aug 23 16:13:05 2022 ] 	Top5: 84.87%
+[ Tue Aug 23 16:13:06 2022 ] Training epoch: 76
+[ Tue Aug 23 16:13:41 2022 ] 	Training loss: 1.0751.  Training acc: 93.61%.
+[ Tue Aug 23 16:13:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:13:41 2022 ] Eval epoch: 76
+[ Tue Aug 23 16:14:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:14:20 2022 ] 	Top1: 46.66%
+[ Tue Aug 23 16:14:20 2022 ] 	Top5: 78.60%
+[ Tue Aug 23 16:14:21 2022 ] Training epoch: 77
+[ Tue Aug 23 16:14:56 2022 ] 	Training loss: 1.0726.  Training acc: 93.83%.
+[ Tue Aug 23 16:14:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:14:56 2022 ] Eval epoch: 77
+[ Tue Aug 23 16:15:32 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:15:32 2022 ] 	Top1: 49.98%
+[ Tue Aug 23 16:15:33 2022 ] 	Top5: 83.30%
+[ Tue Aug 23 16:15:33 2022 ] Training epoch: 78
+[ Tue Aug 23 16:16:08 2022 ] 	Training loss: 1.0681.  Training acc: 93.85%.
+[ Tue Aug 23 16:16:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:16:08 2022 ] Eval epoch: 78
+[ Tue Aug 23 16:16:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:16:44 2022 ] 	Top1: 52.60%
+[ Tue Aug 23 16:16:45 2022 ] 	Top5: 84.51%
+[ Tue Aug 23 16:16:45 2022 ] Training epoch: 79
+[ Tue Aug 23 16:17:20 2022 ] 	Training loss: 1.0547.  Training acc: 94.66%.
+[ Tue Aug 23 16:17:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:17:20 2022 ] Eval epoch: 79
+[ Tue Aug 23 16:17:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:17:56 2022 ] 	Top1: 49.96%
+[ Tue Aug 23 16:17:57 2022 ] 	Top5: 82.22%
+[ Tue Aug 23 16:17:57 2022 ] Training epoch: 80
+[ Tue Aug 23 16:18:32 2022 ] 	Training loss: 1.0604.  Training acc: 94.22%.
+[ Tue Aug 23 16:18:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:18:32 2022 ] Eval epoch: 80
+[ Tue Aug 23 16:19:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:19:08 2022 ] 	Top1: 48.49%
+[ Tue Aug 23 16:19:08 2022 ] 	Top5: 81.72%
+[ Tue Aug 23 16:19:09 2022 ] Training epoch: 81
+[ Tue Aug 23 16:19:44 2022 ] 	Training loss: 1.0579.  Training acc: 94.20%.
+[ Tue Aug 23 16:19:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:19:44 2022 ] Eval epoch: 81
+[ Tue Aug 23 16:20:19 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:20:20 2022 ] 	Top1: 54.31%
+[ Tue Aug 23 16:20:20 2022 ] 	Top5: 85.03%
+[ Tue Aug 23 16:20:21 2022 ] Training epoch: 82
+[ Tue Aug 23 16:20:56 2022 ] 	Training loss: 1.0561.  Training acc: 94.18%.
+[ Tue Aug 23 16:20:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:20:56 2022 ] Eval epoch: 82
+[ Tue Aug 23 16:21:32 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:21:32 2022 ] 	Top1: 45.75%
+[ Tue Aug 23 16:21:33 2022 ] 	Top5: 79.51%
+[ Tue Aug 23 16:21:33 2022 ] Training epoch: 83
+[ Tue Aug 23 16:22:08 2022 ] 	Training loss: 1.0452.  Training acc: 94.58%.
+[ Tue Aug 23 16:22:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:22:08 2022 ] Eval epoch: 83
+[ Tue Aug 23 16:22:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:22:44 2022 ] 	Top1: 53.87%
+[ Tue Aug 23 16:22:45 2022 ] 	Top5: 85.06%
+[ Tue Aug 23 16:22:45 2022 ] Training epoch: 84
+[ Tue Aug 23 16:23:20 2022 ] 	Training loss: 1.0365.  Training acc: 95.00%.
+[ Tue Aug 23 16:23:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:23:20 2022 ] Eval epoch: 84
+[ Tue Aug 23 16:23:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:23:56 2022 ] 	Top1: 51.44%
+[ Tue Aug 23 16:23:57 2022 ] 	Top5: 83.10%
+[ Tue Aug 23 16:23:57 2022 ] Training epoch: 85
+[ Tue Aug 23 16:24:32 2022 ] 	Training loss: 1.0487.  Training acc: 94.34%.
+[ Tue Aug 23 16:24:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:24:32 2022 ] Eval epoch: 85
+[ Tue Aug 23 16:25:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:25:08 2022 ] 	Top1: 49.84%
+[ Tue Aug 23 16:25:09 2022 ] 	Top5: 83.89%
+[ Tue Aug 23 16:25:09 2022 ] Training epoch: 86
+[ Tue Aug 23 16:25:44 2022 ] 	Training loss: 1.0367.  Training acc: 94.89%.
+[ Tue Aug 23 16:25:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:25:44 2022 ] Eval epoch: 86
+[ Tue Aug 23 16:26:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:26:20 2022 ] 	Top1: 45.85%
+[ Tue Aug 23 16:26:20 2022 ] 	Top5: 76.33%
+[ Tue Aug 23 16:26:21 2022 ] Training epoch: 87
+[ Tue Aug 23 16:26:56 2022 ] 	Training loss: 1.0310.  Training acc: 95.04%.
+[ Tue Aug 23 16:26:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:26:56 2022 ] Eval epoch: 87
+[ Tue Aug 23 16:27:32 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:27:32 2022 ] 	Top1: 48.26%
+[ Tue Aug 23 16:27:33 2022 ] 	Top5: 82.38%
+[ Tue Aug 23 16:27:33 2022 ] Training epoch: 88
+[ Tue Aug 23 16:28:08 2022 ] 	Training loss: 1.0232.  Training acc: 95.38%.
+[ Tue Aug 23 16:28:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:28:08 2022 ] Eval epoch: 88
+[ Tue Aug 23 16:28:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:28:45 2022 ] 	Top1: 45.51%
+[ Tue Aug 23 16:28:45 2022 ] 	Top5: 79.82%
+[ Tue Aug 23 16:28:45 2022 ] Training epoch: 89
+[ Tue Aug 23 16:29:20 2022 ] 	Training loss: 1.0198.  Training acc: 95.51%.
+[ Tue Aug 23 16:29:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:29:20 2022 ] Eval epoch: 89
+[ Tue Aug 23 16:29:57 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:29:57 2022 ] 	Top1: 51.61%
+[ Tue Aug 23 16:29:57 2022 ] 	Top5: 82.66%
+[ Tue Aug 23 16:29:58 2022 ] Training epoch: 90
+[ Tue Aug 23 16:30:33 2022 ] 	Training loss: 1.0168.  Training acc: 95.65%.
+[ Tue Aug 23 16:30:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:30:33 2022 ] Eval epoch: 90
+[ Tue Aug 23 16:31:09 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:31:09 2022 ] 	Top1: 45.28%
+[ Tue Aug 23 16:31:10 2022 ] 	Top5: 78.03%
+[ Tue Aug 23 16:31:10 2022 ] Training epoch: 91
+[ Tue Aug 23 16:31:46 2022 ] 	Training loss: 0.9431.  Training acc: 98.16%.
+[ Tue Aug 23 16:31:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:31:46 2022 ] Eval epoch: 91
+[ Tue Aug 23 16:32:25 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:32:25 2022 ] 	Top1: 59.14%
+[ Tue Aug 23 16:32:25 2022 ] 	Top5: 87.99%
+[ Tue Aug 23 16:32:26 2022 ] Training epoch: 92
+[ Tue Aug 23 16:33:03 2022 ] 	Training loss: 0.9080.  Training acc: 99.18%.
+[ Tue Aug 23 16:33:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:33:03 2022 ] Eval epoch: 92
+[ Tue Aug 23 16:33:40 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:33:40 2022 ] 	Top1: 60.00%
+[ Tue Aug 23 16:33:40 2022 ] 	Top5: 88.32%
+[ Tue Aug 23 16:33:41 2022 ] Training epoch: 93
+[ Tue Aug 23 16:34:16 2022 ] 	Training loss: 0.8949.  Training acc: 99.44%.
+[ Tue Aug 23 16:34:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:34:16 2022 ] Eval epoch: 93
+[ Tue Aug 23 16:34:52 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:34:53 2022 ] 	Top1: 59.85%
+[ Tue Aug 23 16:34:53 2022 ] 	Top5: 88.19%
+[ Tue Aug 23 16:34:53 2022 ] Training epoch: 94
+[ Tue Aug 23 16:35:28 2022 ] 	Training loss: 0.8918.  Training acc: 99.44%.
+[ Tue Aug 23 16:35:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:35:28 2022 ] Eval epoch: 94
+[ Tue Aug 23 16:36:05 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:36:05 2022 ] 	Top1: 59.62%
+[ Tue Aug 23 16:36:06 2022 ] 	Top5: 87.92%
+[ Tue Aug 23 16:36:06 2022 ] Training epoch: 95
+[ Tue Aug 23 16:36:41 2022 ] 	Training loss: 0.8871.  Training acc: 99.65%.
+[ Tue Aug 23 16:36:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:36:41 2022 ] Eval epoch: 95
+[ Tue Aug 23 16:37:18 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:37:18 2022 ] 	Top1: 59.64%
+[ Tue Aug 23 16:37:18 2022 ] 	Top5: 87.98%
+[ Tue Aug 23 16:37:19 2022 ] Training epoch: 96
+[ Tue Aug 23 16:37:54 2022 ] 	Training loss: 0.8844.  Training acc: 99.62%.
+[ Tue Aug 23 16:37:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:37:54 2022 ] Eval epoch: 96
+[ Tue Aug 23 16:38:30 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:38:31 2022 ] 	Top1: 58.99%
+[ Tue Aug 23 16:38:31 2022 ] 	Top5: 87.73%
+[ Tue Aug 23 16:38:32 2022 ] Training epoch: 97
+[ Tue Aug 23 16:39:07 2022 ] 	Training loss: 0.8812.  Training acc: 99.65%.
+[ Tue Aug 23 16:39:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:39:07 2022 ] Eval epoch: 97
+[ Tue Aug 23 16:39:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:39:44 2022 ] 	Top1: 59.87%
+[ Tue Aug 23 16:39:44 2022 ] 	Top5: 88.02%
+[ Tue Aug 23 16:39:45 2022 ] Training epoch: 98
+[ Tue Aug 23 16:40:19 2022 ] 	Training loss: 0.8791.  Training acc: 99.75%.
+[ Tue Aug 23 16:40:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:40:19 2022 ] Eval epoch: 98
+[ Tue Aug 23 16:40:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:40:56 2022 ] 	Top1: 59.38%
+[ Tue Aug 23 16:40:56 2022 ] 	Top5: 87.96%
+[ Tue Aug 23 16:40:57 2022 ] Training epoch: 99
+[ Tue Aug 23 16:41:31 2022 ] 	Training loss: 0.8774.  Training acc: 99.77%.
+[ Tue Aug 23 16:41:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:41:31 2022 ] Eval epoch: 99
+[ Tue Aug 23 16:42:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:42:08 2022 ] 	Top1: 60.02%
+[ Tue Aug 23 16:42:08 2022 ] 	Top5: 87.92%
+[ Tue Aug 23 16:42:09 2022 ] Training epoch: 100
+[ Tue Aug 23 16:42:44 2022 ] 	Training loss: 0.8749.  Training acc: 99.81%.
+[ Tue Aug 23 16:42:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:42:44 2022 ] Eval epoch: 100
+[ Tue Aug 23 16:43:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:43:20 2022 ] 	Top1: 60.39%
+[ Tue Aug 23 16:43:21 2022 ] 	Top5: 88.33%
+[ Tue Aug 23 16:43:21 2022 ] Training epoch: 101
+[ Tue Aug 23 16:43:56 2022 ] 	Training loss: 0.8742.  Training acc: 99.78%.
+[ Tue Aug 23 16:43:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:43:56 2022 ] Eval epoch: 101
+[ Tue Aug 23 16:44:32 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:44:32 2022 ] 	Top1: 60.07%
+[ Tue Aug 23 16:44:33 2022 ] 	Top5: 88.04%
+[ Tue Aug 23 16:44:33 2022 ] Training epoch: 102
+[ Tue Aug 23 16:45:08 2022 ] 	Training loss: 0.8742.  Training acc: 99.79%.
+[ Tue Aug 23 16:45:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:45:08 2022 ] Eval epoch: 102
+[ Tue Aug 23 16:45:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:45:44 2022 ] 	Top1: 59.68%
+[ Tue Aug 23 16:45:45 2022 ] 	Top5: 87.97%
+[ Tue Aug 23 16:45:45 2022 ] Training epoch: 103
+[ Tue Aug 23 16:46:20 2022 ] 	Training loss: 0.8741.  Training acc: 99.76%.
+[ Tue Aug 23 16:46:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:46:20 2022 ] Eval epoch: 103
+[ Tue Aug 23 16:46:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:46:56 2022 ] 	Top1: 59.62%
+[ Tue Aug 23 16:46:56 2022 ] 	Top5: 87.77%
+[ Tue Aug 23 16:46:57 2022 ] Training epoch: 104
+[ Tue Aug 23 16:47:31 2022 ] 	Training loss: 0.8745.  Training acc: 99.72%.
+[ Tue Aug 23 16:47:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:47:31 2022 ] Eval epoch: 104
+[ Tue Aug 23 16:48:09 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:48:10 2022 ] 	Top1: 60.15%
+[ Tue Aug 23 16:48:10 2022 ] 	Top5: 88.10%
+[ Tue Aug 23 16:48:11 2022 ] Training epoch: 105
+[ Tue Aug 23 16:48:45 2022 ] 	Training loss: 0.8739.  Training acc: 99.80%.
+[ Tue Aug 23 16:48:45 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:48:45 2022 ] Eval epoch: 105
+[ Tue Aug 23 16:49:21 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:49:22 2022 ] 	Top1: 60.09%
+[ Tue Aug 23 16:49:22 2022 ] 	Top5: 87.88%
+[ Tue Aug 23 16:49:22 2022 ] Training epoch: 106
+[ Tue Aug 23 16:49:57 2022 ] 	Training loss: 0.8717.  Training acc: 99.80%.
+[ Tue Aug 23 16:49:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:49:57 2022 ] Eval epoch: 106
+[ Tue Aug 23 16:50:33 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:50:33 2022 ] 	Top1: 59.88%
+[ Tue Aug 23 16:50:34 2022 ] 	Top5: 87.93%
+[ Tue Aug 23 16:50:34 2022 ] Training epoch: 107
+[ Tue Aug 23 16:51:09 2022 ] 	Training loss: 0.8763.  Training acc: 99.71%.
+[ Tue Aug 23 16:51:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:51:09 2022 ] Eval epoch: 107
+[ Tue Aug 23 16:51:45 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:51:45 2022 ] 	Top1: 60.09%
+[ Tue Aug 23 16:51:45 2022 ] 	Top5: 87.90%
+[ Tue Aug 23 16:51:46 2022 ] Training epoch: 108
+[ Tue Aug 23 16:52:20 2022 ] 	Training loss: 0.8721.  Training acc: 99.80%.
+[ Tue Aug 23 16:52:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:52:20 2022 ] Eval epoch: 108
+[ Tue Aug 23 16:52:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:52:57 2022 ] 	Top1: 60.15%
+[ Tue Aug 23 16:52:57 2022 ] 	Top5: 88.02%
+[ Tue Aug 23 16:52:57 2022 ] Training epoch: 109
+[ Tue Aug 23 16:53:32 2022 ] 	Training loss: 0.8720.  Training acc: 99.79%.
+[ Tue Aug 23 16:53:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:53:32 2022 ] Eval epoch: 109
+[ Tue Aug 23 16:54:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:54:08 2022 ] 	Top1: 59.82%
+[ Tue Aug 23 16:54:09 2022 ] 	Top5: 87.91%
+[ Tue Aug 23 16:54:09 2022 ] Training epoch: 110
+[ Tue Aug 23 16:54:44 2022 ] 	Training loss: 0.8730.  Training acc: 99.76%.
+[ Tue Aug 23 16:54:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:54:44 2022 ] Eval epoch: 110
+[ Tue Aug 23 16:55:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:55:20 2022 ] 	Top1: 59.58%
+[ Tue Aug 23 16:55:21 2022 ] 	Top5: 87.72%

ckpt/Others/InfoGCN/ntu_120_xsub_LT/bm/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fbf849edf5a8e4d7946a9b81e69fa36519dcfdc32325f048f0ce8304f4653420
+size 26776168

ckpt/Others/InfoGCN/ntu_120_xsub_LT/bm/log.txt

@@ -0,0 +1,775 @@
+[ Tue Aug 23 14:43:45 2022 ] using warm up, epoch: 5
+[ Tue Aug 23 14:44:04 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 120, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu120/NTU120_CSub_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': True, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_120_xsub_LT/bm', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 1, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 256, 'test_batch_size': 256, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Tue Aug 23 14:44:04 2022 ] # Parameters: 1572227
+[ Tue Aug 23 14:44:04 2022 ] Training epoch: 1
+[ Tue Aug 23 14:44:42 2022 ] 	Training loss: 6.1381.  Training acc: 4.76%.
+[ Tue Aug 23 14:44:42 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 14:44:42 2022 ] Eval epoch: 1
+[ Tue Aug 23 14:45:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:45:20 2022 ] 	Top1: 0.54%
+[ Tue Aug 23 14:45:20 2022 ] 	Top5: 2.76%
+[ Tue Aug 23 14:45:21 2022 ] Training epoch: 2
+[ Tue Aug 23 14:45:55 2022 ] 	Training loss: 4.0276.  Training acc: 10.31%.
+[ Tue Aug 23 14:45:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:45:55 2022 ] Eval epoch: 2
+[ Tue Aug 23 14:46:33 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:46:33 2022 ] 	Top1: 0.88%
+[ Tue Aug 23 14:46:34 2022 ] 	Top5: 4.15%
+[ Tue Aug 23 14:46:34 2022 ] Training epoch: 3
+[ Tue Aug 23 14:47:09 2022 ] 	Training loss: 3.7409.  Training acc: 16.54%.
+[ Tue Aug 23 14:47:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:47:09 2022 ] Eval epoch: 3
+[ Tue Aug 23 14:47:47 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:47:47 2022 ] 	Top1: 2.24%
+[ Tue Aug 23 14:47:48 2022 ] 	Top5: 6.85%
+[ Tue Aug 23 14:47:48 2022 ] Training epoch: 4
+[ Tue Aug 23 14:48:24 2022 ] 	Training loss: 3.3513.  Training acc: 24.36%.
+[ Tue Aug 23 14:48:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:48:24 2022 ] Eval epoch: 4
+[ Tue Aug 23 14:49:01 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:49:01 2022 ] 	Top1: 1.19%
+[ Tue Aug 23 14:49:02 2022 ] 	Top5: 7.20%
+[ Tue Aug 23 14:49:02 2022 ] Training epoch: 5
+[ Tue Aug 23 14:49:37 2022 ] 	Training loss: 3.1014.  Training acc: 29.77%.
+[ Tue Aug 23 14:49:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:49:37 2022 ] Eval epoch: 5
+[ Tue Aug 23 14:50:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:50:13 2022 ] 	Top1: 1.39%
+[ Tue Aug 23 14:50:14 2022 ] 	Top5: 3.86%
+[ Tue Aug 23 14:50:14 2022 ] Training epoch: 6
+[ Tue Aug 23 14:50:49 2022 ] 	Training loss: 2.7833.  Training acc: 38.55%.
+[ Tue Aug 23 14:50:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:50:49 2022 ] Eval epoch: 6
+[ Tue Aug 23 14:51:25 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:51:25 2022 ] 	Top1: 1.09%
+[ Tue Aug 23 14:51:26 2022 ] 	Top5: 4.85%
+[ Tue Aug 23 14:51:26 2022 ] Training epoch: 7
+[ Tue Aug 23 14:52:01 2022 ] 	Training loss: 2.5940.  Training acc: 44.58%.
+[ Tue Aug 23 14:52:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:52:01 2022 ] Eval epoch: 7
+[ Tue Aug 23 14:52:37 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:52:37 2022 ] 	Top1: 1.32%
+[ Tue Aug 23 14:52:37 2022 ] 	Top5: 9.95%
+[ Tue Aug 23 14:52:38 2022 ] Training epoch: 8
+[ Tue Aug 23 14:53:12 2022 ] 	Training loss: 2.4789.  Training acc: 48.24%.
+[ Tue Aug 23 14:53:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:53:12 2022 ] Eval epoch: 8
+[ Tue Aug 23 14:53:48 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:53:48 2022 ] 	Top1: 2.20%
+[ Tue Aug 23 14:53:49 2022 ] 	Top5: 8.32%
+[ Tue Aug 23 14:53:49 2022 ] Training epoch: 9
+[ Tue Aug 23 14:54:24 2022 ] 	Training loss: 2.3793.  Training acc: 51.09%.
+[ Tue Aug 23 14:54:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:54:24 2022 ] Eval epoch: 9
+[ Tue Aug 23 14:55:00 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:55:00 2022 ] 	Top1: 4.40%
+[ Tue Aug 23 14:55:01 2022 ] 	Top5: 14.76%
+[ Tue Aug 23 14:55:01 2022 ] Training epoch: 10
+[ Tue Aug 23 14:55:36 2022 ] 	Training loss: 2.2875.  Training acc: 54.23%.
+[ Tue Aug 23 14:55:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:55:36 2022 ] Eval epoch: 10
+[ Tue Aug 23 14:56:12 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:56:13 2022 ] 	Top1: 4.27%
+[ Tue Aug 23 14:56:13 2022 ] 	Top5: 12.74%
+[ Tue Aug 23 14:56:14 2022 ] Training epoch: 11
+[ Tue Aug 23 14:56:48 2022 ] 	Training loss: 2.2225.  Training acc: 56.15%.
+[ Tue Aug 23 14:56:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:56:48 2022 ] Eval epoch: 11
+[ Tue Aug 23 14:57:24 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:57:24 2022 ] 	Top1: 3.66%
+[ Tue Aug 23 14:57:25 2022 ] 	Top5: 12.48%
+[ Tue Aug 23 14:57:25 2022 ] Training epoch: 12
+[ Tue Aug 23 14:58:00 2022 ] 	Training loss: 2.1718.  Training acc: 57.78%.
+[ Tue Aug 23 14:58:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:58:00 2022 ] Eval epoch: 12
+[ Tue Aug 23 14:58:36 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:58:37 2022 ] 	Top1: 3.59%
+[ Tue Aug 23 14:58:37 2022 ] 	Top5: 11.89%
+[ Tue Aug 23 14:58:38 2022 ] Training epoch: 13
+[ Tue Aug 23 14:59:12 2022 ] 	Training loss: 2.1141.  Training acc: 59.51%.
+[ Tue Aug 23 14:59:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 14:59:12 2022 ] Eval epoch: 13
+[ Tue Aug 23 14:59:48 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 14:59:49 2022 ] 	Top1: 4.21%
+[ Tue Aug 23 14:59:49 2022 ] 	Top5: 13.19%
+[ Tue Aug 23 14:59:49 2022 ] Training epoch: 14
+[ Tue Aug 23 15:00:24 2022 ] 	Training loss: 2.0734.  Training acc: 60.76%.
+[ Tue Aug 23 15:00:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:00:24 2022 ] Eval epoch: 14
+[ Tue Aug 23 15:01:00 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:01:00 2022 ] 	Top1: 5.56%
+[ Tue Aug 23 15:01:01 2022 ] 	Top5: 18.36%
+[ Tue Aug 23 15:01:01 2022 ] Training epoch: 15
+[ Tue Aug 23 15:01:36 2022 ] 	Training loss: 2.0372.  Training acc: 61.65%.
+[ Tue Aug 23 15:01:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:01:36 2022 ] Eval epoch: 15
+[ Tue Aug 23 15:02:12 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:02:12 2022 ] 	Top1: 4.88%
+[ Tue Aug 23 15:02:13 2022 ] 	Top5: 16.10%
+[ Tue Aug 23 15:02:13 2022 ] Training epoch: 16
+[ Tue Aug 23 15:02:47 2022 ] 	Training loss: 2.0035.  Training acc: 63.37%.
+[ Tue Aug 23 15:02:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:02:47 2022 ] Eval epoch: 16
+[ Tue Aug 23 15:03:23 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:03:23 2022 ] 	Top1: 6.42%
+[ Tue Aug 23 15:03:24 2022 ] 	Top5: 18.27%
+[ Tue Aug 23 15:03:25 2022 ] Training epoch: 17
+[ Tue Aug 23 15:03:59 2022 ] 	Training loss: 1.9660.  Training acc: 64.47%.
+[ Tue Aug 23 15:03:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:03:59 2022 ] Eval epoch: 17
+[ Tue Aug 23 15:04:35 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:04:35 2022 ] 	Top1: 5.45%
+[ Tue Aug 23 15:04:36 2022 ] 	Top5: 20.26%
+[ Tue Aug 23 15:04:36 2022 ] Training epoch: 18
+[ Tue Aug 23 15:05:10 2022 ] 	Training loss: 1.9457.  Training acc: 64.54%.
+[ Tue Aug 23 15:05:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:05:10 2022 ] Eval epoch: 18
+[ Tue Aug 23 15:05:46 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:05:47 2022 ] 	Top1: 4.63%
+[ Tue Aug 23 15:05:47 2022 ] 	Top5: 14.78%
+[ Tue Aug 23 15:05:48 2022 ] Training epoch: 19
+[ Tue Aug 23 15:06:22 2022 ] 	Training loss: 1.9019.  Training acc: 66.22%.
+[ Tue Aug 23 15:06:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:06:22 2022 ] Eval epoch: 19
+[ Tue Aug 23 15:06:58 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:06:59 2022 ] 	Top1: 7.62%
+[ Tue Aug 23 15:06:59 2022 ] 	Top5: 22.31%
+[ Tue Aug 23 15:07:00 2022 ] Training epoch: 20
+[ Tue Aug 23 15:07:34 2022 ] 	Training loss: 1.8780.  Training acc: 66.93%.
+[ Tue Aug 23 15:07:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:07:34 2022 ] Eval epoch: 20
+[ Tue Aug 23 15:08:11 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:08:11 2022 ] 	Top1: 7.50%
+[ Tue Aug 23 15:08:11 2022 ] 	Top5: 23.51%
+[ Tue Aug 23 15:08:12 2022 ] Training epoch: 21
+[ Tue Aug 23 15:08:46 2022 ] 	Training loss: 1.8541.  Training acc: 67.40%.
+[ Tue Aug 23 15:08:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:08:46 2022 ] Eval epoch: 21
+[ Tue Aug 23 15:09:23 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:09:23 2022 ] 	Top1: 5.87%
+[ Tue Aug 23 15:09:24 2022 ] 	Top5: 17.18%
+[ Tue Aug 23 15:09:24 2022 ] Training epoch: 22
+[ Tue Aug 23 15:09:58 2022 ] 	Training loss: 1.8128.  Training acc: 69.27%.
+[ Tue Aug 23 15:09:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:09:58 2022 ] Eval epoch: 22
+[ Tue Aug 23 15:10:35 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:10:35 2022 ] 	Top1: 6.66%
+[ Tue Aug 23 15:10:36 2022 ] 	Top5: 20.04%
+[ Tue Aug 23 15:10:36 2022 ] Training epoch: 23
+[ Tue Aug 23 15:11:11 2022 ] 	Training loss: 1.8058.  Training acc: 69.41%.
+[ Tue Aug 23 15:11:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:11:11 2022 ] Eval epoch: 23
+[ Tue Aug 23 15:11:47 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:11:47 2022 ] 	Top1: 14.43%
+[ Tue Aug 23 15:11:48 2022 ] 	Top5: 35.35%
+[ Tue Aug 23 15:11:49 2022 ] Training epoch: 24
+[ Tue Aug 23 15:12:23 2022 ] 	Training loss: 1.7785.  Training acc: 70.38%.
+[ Tue Aug 23 15:12:23 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:12:23 2022 ] Eval epoch: 24
+[ Tue Aug 23 15:12:59 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:13:00 2022 ] 	Top1: 14.91%
+[ Tue Aug 23 15:13:00 2022 ] 	Top5: 33.02%
+[ Tue Aug 23 15:13:01 2022 ] Training epoch: 25
+[ Tue Aug 23 15:13:35 2022 ] 	Training loss: 1.7662.  Training acc: 70.55%.
+[ Tue Aug 23 15:13:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:13:35 2022 ] Eval epoch: 25
+[ Tue Aug 23 15:14:12 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:14:12 2022 ] 	Top1: 11.35%
+[ Tue Aug 23 15:14:13 2022 ] 	Top5: 28.70%
+[ Tue Aug 23 15:14:13 2022 ] Training epoch: 26
+[ Tue Aug 23 15:14:48 2022 ] 	Training loss: 1.7383.  Training acc: 71.21%.
+[ Tue Aug 23 15:14:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:14:48 2022 ] Eval epoch: 26
+[ Tue Aug 23 15:15:24 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:15:24 2022 ] 	Top1: 14.45%
+[ Tue Aug 23 15:15:25 2022 ] 	Top5: 36.43%
+[ Tue Aug 23 15:15:25 2022 ] Training epoch: 27
+[ Tue Aug 23 15:16:00 2022 ] 	Training loss: 1.7177.  Training acc: 72.36%.
+[ Tue Aug 23 15:16:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:16:00 2022 ] Eval epoch: 27
+[ Tue Aug 23 15:16:36 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:16:36 2022 ] 	Top1: 10.42%
+[ Tue Aug 23 15:16:37 2022 ] 	Top5: 26.91%
+[ Tue Aug 23 15:16:37 2022 ] Training epoch: 28
+[ Tue Aug 23 15:17:12 2022 ] 	Training loss: 1.6907.  Training acc: 72.91%.
+[ Tue Aug 23 15:17:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:17:12 2022 ] Eval epoch: 28
+[ Tue Aug 23 15:17:48 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:17:48 2022 ] 	Top1: 16.73%
+[ Tue Aug 23 15:17:49 2022 ] 	Top5: 44.21%
+[ Tue Aug 23 15:17:49 2022 ] Training epoch: 29
+[ Tue Aug 23 15:18:24 2022 ] 	Training loss: 1.6755.  Training acc: 73.56%.
+[ Tue Aug 23 15:18:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:18:24 2022 ] Eval epoch: 29
+[ Tue Aug 23 15:19:00 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:19:01 2022 ] 	Top1: 19.73%
+[ Tue Aug 23 15:19:01 2022 ] 	Top5: 48.80%
+[ Tue Aug 23 15:19:02 2022 ] Training epoch: 30
+[ Tue Aug 23 15:19:37 2022 ] 	Training loss: 1.6540.  Training acc: 74.42%.
+[ Tue Aug 23 15:19:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:19:37 2022 ] Eval epoch: 30
+[ Tue Aug 23 15:20:14 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:20:14 2022 ] 	Top1: 18.70%
+[ Tue Aug 23 15:20:14 2022 ] 	Top5: 45.54%
+[ Tue Aug 23 15:20:15 2022 ] Training epoch: 31
+[ Tue Aug 23 15:20:49 2022 ] 	Training loss: 1.6435.  Training acc: 74.39%.
+[ Tue Aug 23 15:20:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:20:49 2022 ] Eval epoch: 31
+[ Tue Aug 23 15:21:26 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:21:26 2022 ] 	Top1: 13.16%
+[ Tue Aug 23 15:21:26 2022 ] 	Top5: 36.60%
+[ Tue Aug 23 15:21:27 2022 ] Training epoch: 32
+[ Tue Aug 23 15:22:01 2022 ] 	Training loss: 1.6204.  Training acc: 75.48%.
+[ Tue Aug 23 15:22:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:22:01 2022 ] Eval epoch: 32
+[ Tue Aug 23 15:22:38 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:22:39 2022 ] 	Top1: 16.96%
+[ Tue Aug 23 15:22:39 2022 ] 	Top5: 44.12%
+[ Tue Aug 23 15:22:39 2022 ] Training epoch: 33
+[ Tue Aug 23 15:23:14 2022 ] 	Training loss: 1.6078.  Training acc: 76.37%.
+[ Tue Aug 23 15:23:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:23:14 2022 ] Eval epoch: 33
+[ Tue Aug 23 15:23:50 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:23:50 2022 ] 	Top1: 12.70%
+[ Tue Aug 23 15:23:51 2022 ] 	Top5: 38.26%
+[ Tue Aug 23 15:23:51 2022 ] Training epoch: 34
+[ Tue Aug 23 15:24:26 2022 ] 	Training loss: 1.5820.  Training acc: 76.73%.
+[ Tue Aug 23 15:24:26 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:24:26 2022 ] Eval epoch: 34
+[ Tue Aug 23 15:25:03 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:25:04 2022 ] 	Top1: 21.31%
+[ Tue Aug 23 15:25:04 2022 ] 	Top5: 52.39%
+[ Tue Aug 23 15:25:05 2022 ] Training epoch: 35
+[ Tue Aug 23 15:25:39 2022 ] 	Training loss: 1.5622.  Training acc: 77.21%.
+[ Tue Aug 23 15:25:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:25:39 2022 ] Eval epoch: 35
+[ Tue Aug 23 15:26:16 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:26:17 2022 ] 	Top1: 20.38%
+[ Tue Aug 23 15:26:17 2022 ] 	Top5: 48.96%
+[ Tue Aug 23 15:26:17 2022 ] Training epoch: 36
+[ Tue Aug 23 15:26:52 2022 ] 	Training loss: 1.5592.  Training acc: 77.48%.
+[ Tue Aug 23 15:26:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:26:52 2022 ] Eval epoch: 36
+[ Tue Aug 23 15:27:28 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:27:28 2022 ] 	Top1: 24.50%
+[ Tue Aug 23 15:27:29 2022 ] 	Top5: 57.02%
+[ Tue Aug 23 15:27:30 2022 ] Training epoch: 37
+[ Tue Aug 23 15:28:04 2022 ] 	Training loss: 1.5211.  Training acc: 79.13%.
+[ Tue Aug 23 15:28:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:28:04 2022 ] Eval epoch: 37
+[ Tue Aug 23 15:28:40 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:28:41 2022 ] 	Top1: 25.67%
+[ Tue Aug 23 15:28:41 2022 ] 	Top5: 56.27%
+[ Tue Aug 23 15:28:42 2022 ] Training epoch: 38
+[ Tue Aug 23 15:29:16 2022 ] 	Training loss: 1.5167.  Training acc: 79.10%.
+[ Tue Aug 23 15:29:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:29:16 2022 ] Eval epoch: 38
+[ Tue Aug 23 15:29:53 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:29:53 2022 ] 	Top1: 33.55%
+[ Tue Aug 23 15:29:54 2022 ] 	Top5: 67.69%
+[ Tue Aug 23 15:29:54 2022 ] Training epoch: 39
+[ Tue Aug 23 15:30:29 2022 ] 	Training loss: 1.4984.  Training acc: 79.76%.
+[ Tue Aug 23 15:30:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:30:29 2022 ] Eval epoch: 39
+[ Tue Aug 23 15:31:05 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:31:06 2022 ] 	Top1: 27.77%
+[ Tue Aug 23 15:31:06 2022 ] 	Top5: 59.73%
+[ Tue Aug 23 15:31:06 2022 ] Training epoch: 40
+[ Tue Aug 23 15:31:41 2022 ] 	Training loss: 1.4933.  Training acc: 79.80%.
+[ Tue Aug 23 15:31:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:31:41 2022 ] Eval epoch: 40
+[ Tue Aug 23 15:32:17 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:32:17 2022 ] 	Top1: 21.90%
+[ Tue Aug 23 15:32:17 2022 ] 	Top5: 51.66%
+[ Tue Aug 23 15:32:18 2022 ] Training epoch: 41
+[ Tue Aug 23 15:32:52 2022 ] 	Training loss: 1.4781.  Training acc: 80.20%.
+[ Tue Aug 23 15:32:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:32:52 2022 ] Eval epoch: 41
+[ Tue Aug 23 15:33:29 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:33:30 2022 ] 	Top1: 25.72%
+[ Tue Aug 23 15:33:30 2022 ] 	Top5: 57.76%
+[ Tue Aug 23 15:33:30 2022 ] Training epoch: 42
+[ Tue Aug 23 15:34:05 2022 ] 	Training loss: 1.4598.  Training acc: 81.31%.
+[ Tue Aug 23 15:34:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:34:05 2022 ] Eval epoch: 42
+[ Tue Aug 23 15:34:41 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:34:42 2022 ] 	Top1: 29.58%
+[ Tue Aug 23 15:34:42 2022 ] 	Top5: 58.48%
+[ Tue Aug 23 15:34:42 2022 ] Training epoch: 43
+[ Tue Aug 23 15:35:17 2022 ] 	Training loss: 1.4511.  Training acc: 81.27%.
+[ Tue Aug 23 15:35:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:35:17 2022 ] Eval epoch: 43
+[ Tue Aug 23 15:35:53 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:35:54 2022 ] 	Top1: 29.58%
+[ Tue Aug 23 15:35:54 2022 ] 	Top5: 63.18%
+[ Tue Aug 23 15:35:55 2022 ] Training epoch: 44
+[ Tue Aug 23 15:36:29 2022 ] 	Training loss: 1.4405.  Training acc: 81.53%.
+[ Tue Aug 23 15:36:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:36:29 2022 ] Eval epoch: 44
+[ Tue Aug 23 15:37:05 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:37:06 2022 ] 	Top1: 31.53%
+[ Tue Aug 23 15:37:06 2022 ] 	Top5: 65.08%
+[ Tue Aug 23 15:37:06 2022 ] Training epoch: 45
+[ Tue Aug 23 15:37:41 2022 ] 	Training loss: 1.4222.  Training acc: 82.38%.
+[ Tue Aug 23 15:37:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:37:41 2022 ] Eval epoch: 45
+[ Tue Aug 23 15:38:17 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:38:17 2022 ] 	Top1: 33.51%
+[ Tue Aug 23 15:38:18 2022 ] 	Top5: 66.27%
+[ Tue Aug 23 15:38:18 2022 ] Training epoch: 46
+[ Tue Aug 23 15:38:53 2022 ] 	Training loss: 1.4205.  Training acc: 82.08%.
+[ Tue Aug 23 15:38:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:38:53 2022 ] Eval epoch: 46
+[ Tue Aug 23 15:39:29 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:39:29 2022 ] 	Top1: 31.38%
+[ Tue Aug 23 15:39:30 2022 ] 	Top5: 62.07%
+[ Tue Aug 23 15:39:30 2022 ] Training epoch: 47
+[ Tue Aug 23 15:40:05 2022 ] 	Training loss: 1.3906.  Training acc: 83.51%.
+[ Tue Aug 23 15:40:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:40:05 2022 ] Eval epoch: 47
+[ Tue Aug 23 15:40:42 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:40:42 2022 ] 	Top1: 34.40%
+[ Tue Aug 23 15:40:43 2022 ] 	Top5: 64.66%
+[ Tue Aug 23 15:40:44 2022 ] Training epoch: 48
+[ Tue Aug 23 15:41:18 2022 ] 	Training loss: 1.3896.  Training acc: 83.41%.
+[ Tue Aug 23 15:41:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:41:18 2022 ] Eval epoch: 48
+[ Tue Aug 23 15:41:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:41:55 2022 ] 	Top1: 36.79%
+[ Tue Aug 23 15:41:56 2022 ] 	Top5: 69.99%
+[ Tue Aug 23 15:41:56 2022 ] Training epoch: 49
+[ Tue Aug 23 15:42:31 2022 ] 	Training loss: 1.3796.  Training acc: 83.90%.
+[ Tue Aug 23 15:42:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:42:31 2022 ] Eval epoch: 49
+[ Tue Aug 23 15:43:07 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:43:07 2022 ] 	Top1: 28.50%
+[ Tue Aug 23 15:43:08 2022 ] 	Top5: 58.43%
+[ Tue Aug 23 15:43:08 2022 ] Training epoch: 50
+[ Tue Aug 23 15:43:43 2022 ] 	Training loss: 1.3764.  Training acc: 83.82%.
+[ Tue Aug 23 15:43:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:43:43 2022 ] Eval epoch: 50
+[ Tue Aug 23 15:44:19 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:44:20 2022 ] 	Top1: 39.75%
+[ Tue Aug 23 15:44:20 2022 ] 	Top5: 74.69%
+[ Tue Aug 23 15:44:21 2022 ] Training epoch: 51
+[ Tue Aug 23 15:44:55 2022 ] 	Training loss: 1.3645.  Training acc: 84.16%.
+[ Tue Aug 23 15:44:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:44:56 2022 ] Eval epoch: 51
+[ Tue Aug 23 15:45:32 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:45:33 2022 ] 	Top1: 32.09%
+[ Tue Aug 23 15:45:33 2022 ] 	Top5: 62.64%
+[ Tue Aug 23 15:45:33 2022 ] Training epoch: 52
+[ Tue Aug 23 15:46:08 2022 ] 	Training loss: 1.3615.  Training acc: 84.32%.
+[ Tue Aug 23 15:46:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:46:08 2022 ] Eval epoch: 52
+[ Tue Aug 23 15:46:45 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:46:45 2022 ] 	Top1: 37.07%
+[ Tue Aug 23 15:46:46 2022 ] 	Top5: 70.05%
+[ Tue Aug 23 15:46:46 2022 ] Training epoch: 53
+[ Tue Aug 23 15:47:21 2022 ] 	Training loss: 1.3449.  Training acc: 84.87%.
+[ Tue Aug 23 15:47:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:47:21 2022 ] Eval epoch: 53
+[ Tue Aug 23 15:47:57 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:47:58 2022 ] 	Top1: 36.88%
+[ Tue Aug 23 15:47:58 2022 ] 	Top5: 73.02%
+[ Tue Aug 23 15:47:58 2022 ] Training epoch: 54
+[ Tue Aug 23 15:48:33 2022 ] 	Training loss: 1.3326.  Training acc: 85.29%.
+[ Tue Aug 23 15:48:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:48:33 2022 ] Eval epoch: 54
+[ Tue Aug 23 15:49:10 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:49:10 2022 ] 	Top1: 40.78%
+[ Tue Aug 23 15:49:11 2022 ] 	Top5: 75.39%
+[ Tue Aug 23 15:49:11 2022 ] Training epoch: 55
+[ Tue Aug 23 15:49:46 2022 ] 	Training loss: 1.3264.  Training acc: 85.52%.
+[ Tue Aug 23 15:49:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:49:46 2022 ] Eval epoch: 55
+[ Tue Aug 23 15:50:22 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:50:23 2022 ] 	Top1: 33.76%
+[ Tue Aug 23 15:50:23 2022 ] 	Top5: 64.64%
+[ Tue Aug 23 15:50:23 2022 ] Training epoch: 56
+[ Tue Aug 23 15:50:58 2022 ] 	Training loss: 1.3196.  Training acc: 85.70%.
+[ Tue Aug 23 15:50:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:50:58 2022 ] Eval epoch: 56
+[ Tue Aug 23 15:51:35 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:51:35 2022 ] 	Top1: 34.29%
+[ Tue Aug 23 15:51:36 2022 ] 	Top5: 68.06%
+[ Tue Aug 23 15:51:36 2022 ] Training epoch: 57
+[ Tue Aug 23 15:52:11 2022 ] 	Training loss: 1.3111.  Training acc: 86.16%.
+[ Tue Aug 23 15:52:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:52:11 2022 ] Eval epoch: 57
+[ Tue Aug 23 15:52:47 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:52:47 2022 ] 	Top1: 39.93%
+[ Tue Aug 23 15:52:48 2022 ] 	Top5: 73.71%
+[ Tue Aug 23 15:52:48 2022 ] Training epoch: 58
+[ Tue Aug 23 15:53:23 2022 ] 	Training loss: 1.2963.  Training acc: 86.33%.
+[ Tue Aug 23 15:53:23 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:53:23 2022 ] Eval epoch: 58
+[ Tue Aug 23 15:53:59 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:53:59 2022 ] 	Top1: 35.49%
+[ Tue Aug 23 15:54:00 2022 ] 	Top5: 68.35%
+[ Tue Aug 23 15:54:00 2022 ] Training epoch: 59
+[ Tue Aug 23 15:54:35 2022 ] 	Training loss: 1.2896.  Training acc: 86.88%.
+[ Tue Aug 23 15:54:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:54:35 2022 ] Eval epoch: 59
+[ Tue Aug 23 15:55:11 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:55:11 2022 ] 	Top1: 30.08%
+[ Tue Aug 23 15:55:12 2022 ] 	Top5: 62.23%
+[ Tue Aug 23 15:55:12 2022 ] Training epoch: 60
+[ Tue Aug 23 15:55:47 2022 ] 	Training loss: 1.2816.  Training acc: 87.19%.
+[ Tue Aug 23 15:55:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:55:47 2022 ] Eval epoch: 60
+[ Tue Aug 23 15:56:23 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:56:24 2022 ] 	Top1: 42.08%
+[ Tue Aug 23 15:56:24 2022 ] 	Top5: 75.88%
+[ Tue Aug 23 15:56:25 2022 ] Training epoch: 61
+[ Tue Aug 23 15:56:59 2022 ] 	Training loss: 1.2827.  Training acc: 87.17%.
+[ Tue Aug 23 15:56:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:56:59 2022 ] Eval epoch: 61
+[ Tue Aug 23 15:57:36 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:57:36 2022 ] 	Top1: 32.11%
+[ Tue Aug 23 15:57:36 2022 ] 	Top5: 66.54%
+[ Tue Aug 23 15:57:37 2022 ] Training epoch: 62
+[ Tue Aug 23 15:58:12 2022 ] 	Training loss: 1.2750.  Training acc: 87.57%.
+[ Tue Aug 23 15:58:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:58:12 2022 ] Eval epoch: 62
+[ Tue Aug 23 15:58:48 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 15:58:48 2022 ] 	Top1: 43.29%
+[ Tue Aug 23 15:58:49 2022 ] 	Top5: 76.72%
+[ Tue Aug 23 15:58:50 2022 ] Training epoch: 63
+[ Tue Aug 23 15:59:24 2022 ] 	Training loss: 1.2713.  Training acc: 87.53%.
+[ Tue Aug 23 15:59:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 15:59:24 2022 ] Eval epoch: 63
+[ Tue Aug 23 16:00:01 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:00:01 2022 ] 	Top1: 43.38%
+[ Tue Aug 23 16:00:01 2022 ] 	Top5: 76.16%
+[ Tue Aug 23 16:00:02 2022 ] Training epoch: 64
+[ Tue Aug 23 16:00:37 2022 ] 	Training loss: 1.2500.  Training acc: 88.48%.
+[ Tue Aug 23 16:00:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:00:37 2022 ] Eval epoch: 64
+[ Tue Aug 23 16:01:14 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:01:14 2022 ] 	Top1: 42.29%
+[ Tue Aug 23 16:01:14 2022 ] 	Top5: 76.73%
+[ Tue Aug 23 16:01:15 2022 ] Training epoch: 65
+[ Tue Aug 23 16:01:50 2022 ] 	Training loss: 1.2538.  Training acc: 87.94%.
+[ Tue Aug 23 16:01:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:01:50 2022 ] Eval epoch: 65
+[ Tue Aug 23 16:02:26 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:02:27 2022 ] 	Top1: 37.38%
+[ Tue Aug 23 16:02:27 2022 ] 	Top5: 71.64%
+[ Tue Aug 23 16:02:27 2022 ] Training epoch: 66
+[ Tue Aug 23 16:03:02 2022 ] 	Training loss: 1.2504.  Training acc: 88.37%.
+[ Tue Aug 23 16:03:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:03:02 2022 ] Eval epoch: 66
+[ Tue Aug 23 16:03:39 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:03:39 2022 ] 	Top1: 39.08%
+[ Tue Aug 23 16:03:40 2022 ] 	Top5: 73.30%
+[ Tue Aug 23 16:03:40 2022 ] Training epoch: 67
+[ Tue Aug 23 16:04:15 2022 ] 	Training loss: 1.2487.  Training acc: 88.16%.
+[ Tue Aug 23 16:04:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:04:15 2022 ] Eval epoch: 67
+[ Tue Aug 23 16:04:53 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:04:54 2022 ] 	Top1: 38.98%
+[ Tue Aug 23 16:04:54 2022 ] 	Top5: 70.85%
+[ Tue Aug 23 16:04:54 2022 ] Training epoch: 68
+[ Tue Aug 23 16:05:30 2022 ] 	Training loss: 1.2345.  Training acc: 88.89%.
+[ Tue Aug 23 16:05:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:05:30 2022 ] Eval epoch: 68
+[ Tue Aug 23 16:06:06 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:06:07 2022 ] 	Top1: 45.38%
+[ Tue Aug 23 16:06:07 2022 ] 	Top5: 79.46%
+[ Tue Aug 23 16:06:08 2022 ] Training epoch: 69
+[ Tue Aug 23 16:06:42 2022 ] 	Training loss: 1.2228.  Training acc: 89.39%.
+[ Tue Aug 23 16:06:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:06:42 2022 ] Eval epoch: 69
+[ Tue Aug 23 16:07:21 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:07:21 2022 ] 	Top1: 42.10%
+[ Tue Aug 23 16:07:22 2022 ] 	Top5: 75.45%
+[ Tue Aug 23 16:07:22 2022 ] Training epoch: 70
+[ Tue Aug 23 16:07:57 2022 ] 	Training loss: 1.2189.  Training acc: 89.38%.
+[ Tue Aug 23 16:07:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:07:57 2022 ] Eval epoch: 70
+[ Tue Aug 23 16:08:33 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:08:34 2022 ] 	Top1: 38.37%
+[ Tue Aug 23 16:08:34 2022 ] 	Top5: 72.33%
+[ Tue Aug 23 16:08:35 2022 ] Training epoch: 71
+[ Tue Aug 23 16:09:09 2022 ] 	Training loss: 1.2226.  Training acc: 89.05%.
+[ Tue Aug 23 16:09:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:09:09 2022 ] Eval epoch: 71
+[ Tue Aug 23 16:09:46 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:09:46 2022 ] 	Top1: 42.27%
+[ Tue Aug 23 16:09:47 2022 ] 	Top5: 75.64%
+[ Tue Aug 23 16:09:47 2022 ] Training epoch: 72
+[ Tue Aug 23 16:10:22 2022 ] 	Training loss: 1.2101.  Training acc: 89.52%.
+[ Tue Aug 23 16:10:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:10:22 2022 ] Eval epoch: 72
+[ Tue Aug 23 16:10:58 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:10:58 2022 ] 	Top1: 38.68%
+[ Tue Aug 23 16:10:59 2022 ] 	Top5: 72.31%
+[ Tue Aug 23 16:10:59 2022 ] Training epoch: 73
+[ Tue Aug 23 16:11:34 2022 ] 	Training loss: 1.2030.  Training acc: 89.97%.
+[ Tue Aug 23 16:11:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:11:34 2022 ] Eval epoch: 73
+[ Tue Aug 23 16:12:10 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:12:10 2022 ] 	Top1: 35.61%
+[ Tue Aug 23 16:12:10 2022 ] 	Top5: 66.90%
+[ Tue Aug 23 16:12:11 2022 ] Training epoch: 74
+[ Tue Aug 23 16:12:46 2022 ] 	Training loss: 1.1941.  Training acc: 90.08%.
+[ Tue Aug 23 16:12:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:12:46 2022 ] Eval epoch: 74
+[ Tue Aug 23 16:13:23 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:13:23 2022 ] 	Top1: 34.62%
+[ Tue Aug 23 16:13:24 2022 ] 	Top5: 65.34%
+[ Tue Aug 23 16:13:24 2022 ] Training epoch: 75
+[ Tue Aug 23 16:13:59 2022 ] 	Training loss: 1.1812.  Training acc: 90.70%.
+[ Tue Aug 23 16:13:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:13:59 2022 ] Eval epoch: 75
+[ Tue Aug 23 16:14:36 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:14:36 2022 ] 	Top1: 40.31%
+[ Tue Aug 23 16:14:37 2022 ] 	Top5: 72.07%
+[ Tue Aug 23 16:14:37 2022 ] Training epoch: 76
+[ Tue Aug 23 16:15:12 2022 ] 	Training loss: 1.1911.  Training acc: 90.55%.
+[ Tue Aug 23 16:15:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:15:12 2022 ] Eval epoch: 76
+[ Tue Aug 23 16:15:48 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:15:49 2022 ] 	Top1: 42.24%
+[ Tue Aug 23 16:15:49 2022 ] 	Top5: 73.92%
+[ Tue Aug 23 16:15:50 2022 ] Training epoch: 77
+[ Tue Aug 23 16:16:24 2022 ] 	Training loss: 1.1685.  Training acc: 91.41%.
+[ Tue Aug 23 16:16:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:16:24 2022 ] Eval epoch: 77
+[ Tue Aug 23 16:17:01 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:17:01 2022 ] 	Top1: 37.66%
+[ Tue Aug 23 16:17:02 2022 ] 	Top5: 70.53%
+[ Tue Aug 23 16:17:02 2022 ] Training epoch: 78
+[ Tue Aug 23 16:17:37 2022 ] 	Training loss: 1.1892.  Training acc: 90.34%.
+[ Tue Aug 23 16:17:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:17:37 2022 ] Eval epoch: 78
+[ Tue Aug 23 16:18:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:18:13 2022 ] 	Top1: 43.85%
+[ Tue Aug 23 16:18:14 2022 ] 	Top5: 77.89%
+[ Tue Aug 23 16:18:14 2022 ] Training epoch: 79
+[ Tue Aug 23 16:18:49 2022 ] 	Training loss: 1.1726.  Training acc: 90.92%.
+[ Tue Aug 23 16:18:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:18:49 2022 ] Eval epoch: 79
+[ Tue Aug 23 16:19:25 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:19:25 2022 ] 	Top1: 41.99%
+[ Tue Aug 23 16:19:25 2022 ] 	Top5: 74.63%
+[ Tue Aug 23 16:19:26 2022 ] Training epoch: 80
+[ Tue Aug 23 16:20:00 2022 ] 	Training loss: 1.1701.  Training acc: 91.17%.
+[ Tue Aug 23 16:20:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:20:00 2022 ] Eval epoch: 80
+[ Tue Aug 23 16:20:35 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:20:36 2022 ] 	Top1: 40.06%
+[ Tue Aug 23 16:20:36 2022 ] 	Top5: 72.67%
+[ Tue Aug 23 16:20:37 2022 ] Training epoch: 81
+[ Tue Aug 23 16:21:11 2022 ] 	Training loss: 1.1660.  Training acc: 91.06%.
+[ Tue Aug 23 16:21:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:21:11 2022 ] Eval epoch: 81
+[ Tue Aug 23 16:21:47 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:21:48 2022 ] 	Top1: 44.51%
+[ Tue Aug 23 16:21:48 2022 ] 	Top5: 75.62%
+[ Tue Aug 23 16:21:49 2022 ] Training epoch: 82
+[ Tue Aug 23 16:22:23 2022 ] 	Training loss: 1.1634.  Training acc: 91.46%.
+[ Tue Aug 23 16:22:23 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:22:23 2022 ] Eval epoch: 82
+[ Tue Aug 23 16:23:00 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:23:00 2022 ] 	Top1: 46.32%
+[ Tue Aug 23 16:23:01 2022 ] 	Top5: 79.64%
+[ Tue Aug 23 16:23:01 2022 ] Training epoch: 83
+[ Tue Aug 23 16:23:36 2022 ] 	Training loss: 1.1466.  Training acc: 91.89%.
+[ Tue Aug 23 16:23:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:23:36 2022 ] Eval epoch: 83
+[ Tue Aug 23 16:24:12 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:24:12 2022 ] 	Top1: 43.01%
+[ Tue Aug 23 16:24:13 2022 ] 	Top5: 74.33%
+[ Tue Aug 23 16:24:13 2022 ] Training epoch: 84
+[ Tue Aug 23 16:24:48 2022 ] 	Training loss: 1.1538.  Training acc: 91.68%.
+[ Tue Aug 23 16:24:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:24:48 2022 ] Eval epoch: 84
+[ Tue Aug 23 16:25:24 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:25:24 2022 ] 	Top1: 42.82%
+[ Tue Aug 23 16:25:25 2022 ] 	Top5: 76.90%
+[ Tue Aug 23 16:25:25 2022 ] Training epoch: 85
+[ Tue Aug 23 16:25:59 2022 ] 	Training loss: 1.1590.  Training acc: 91.16%.
+[ Tue Aug 23 16:25:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:25:59 2022 ] Eval epoch: 85
+[ Tue Aug 23 16:26:35 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:26:36 2022 ] 	Top1: 39.98%
+[ Tue Aug 23 16:26:36 2022 ] 	Top5: 73.26%
+[ Tue Aug 23 16:26:37 2022 ] Training epoch: 86
+[ Tue Aug 23 16:27:11 2022 ] 	Training loss: 1.1422.  Training acc: 92.06%.
+[ Tue Aug 23 16:27:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:27:11 2022 ] Eval epoch: 86
+[ Tue Aug 23 16:27:48 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:27:49 2022 ] 	Top1: 46.06%
+[ Tue Aug 23 16:27:49 2022 ] 	Top5: 77.39%
+[ Tue Aug 23 16:27:49 2022 ] Training epoch: 87
+[ Tue Aug 23 16:28:24 2022 ] 	Training loss: 1.1379.  Training acc: 92.21%.
+[ Tue Aug 23 16:28:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:28:24 2022 ] Eval epoch: 87
+[ Tue Aug 23 16:29:00 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:29:01 2022 ] 	Top1: 42.38%
+[ Tue Aug 23 16:29:01 2022 ] 	Top5: 74.96%
+[ Tue Aug 23 16:29:02 2022 ] Training epoch: 88
+[ Tue Aug 23 16:29:36 2022 ] 	Training loss: 1.1303.  Training acc: 92.24%.
+[ Tue Aug 23 16:29:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:29:36 2022 ] Eval epoch: 88
+[ Tue Aug 23 16:30:12 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:30:13 2022 ] 	Top1: 45.95%
+[ Tue Aug 23 16:30:13 2022 ] 	Top5: 78.87%
+[ Tue Aug 23 16:30:13 2022 ] Training epoch: 89
+[ Tue Aug 23 16:30:48 2022 ] 	Training loss: 1.1260.  Training acc: 92.54%.
+[ Tue Aug 23 16:30:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:30:48 2022 ] Eval epoch: 89
+[ Tue Aug 23 16:31:24 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:31:24 2022 ] 	Top1: 38.68%
+[ Tue Aug 23 16:31:25 2022 ] 	Top5: 70.76%
+[ Tue Aug 23 16:31:25 2022 ] Training epoch: 90
+[ Tue Aug 23 16:32:00 2022 ] 	Training loss: 1.1188.  Training acc: 92.82%.
+[ Tue Aug 23 16:32:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:32:00 2022 ] Eval epoch: 90
+[ Tue Aug 23 16:32:40 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:32:41 2022 ] 	Top1: 38.30%
+[ Tue Aug 23 16:32:41 2022 ] 	Top5: 69.48%
+[ Tue Aug 23 16:32:42 2022 ] Training epoch: 91
+[ Tue Aug 23 16:33:18 2022 ] 	Training loss: 1.0266.  Training acc: 96.12%.
+[ Tue Aug 23 16:33:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:33:18 2022 ] Eval epoch: 91
+[ Tue Aug 23 16:33:54 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:33:54 2022 ] 	Top1: 51.16%
+[ Tue Aug 23 16:33:55 2022 ] 	Top5: 82.40%
+[ Tue Aug 23 16:33:56 2022 ] Training epoch: 92
+[ Tue Aug 23 16:34:30 2022 ] 	Training loss: 0.9832.  Training acc: 97.49%.
+[ Tue Aug 23 16:34:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:34:30 2022 ] Eval epoch: 92
+[ Tue Aug 23 16:35:06 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:35:07 2022 ] 	Top1: 51.40%
+[ Tue Aug 23 16:35:07 2022 ] 	Top5: 82.55%
+[ Tue Aug 23 16:35:08 2022 ] Training epoch: 93
+[ Tue Aug 23 16:35:42 2022 ] 	Training loss: 0.9660.  Training acc: 98.03%.
+[ Tue Aug 23 16:35:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:35:42 2022 ] Eval epoch: 93
+[ Tue Aug 23 16:36:19 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:36:19 2022 ] 	Top1: 50.94%
+[ Tue Aug 23 16:36:20 2022 ] 	Top5: 82.24%
+[ Tue Aug 23 16:36:20 2022 ] Training epoch: 94
+[ Tue Aug 23 16:36:54 2022 ] 	Training loss: 0.9585.  Training acc: 98.31%.
+[ Tue Aug 23 16:36:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:36:54 2022 ] Eval epoch: 94
+[ Tue Aug 23 16:37:31 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:37:31 2022 ] 	Top1: 50.77%
+[ Tue Aug 23 16:37:32 2022 ] 	Top5: 82.10%
+[ Tue Aug 23 16:37:32 2022 ] Training epoch: 95
+[ Tue Aug 23 16:38:07 2022 ] 	Training loss: 0.9556.  Training acc: 98.33%.
+[ Tue Aug 23 16:38:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:38:07 2022 ] Eval epoch: 95
+[ Tue Aug 23 16:38:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:38:43 2022 ] 	Top1: 51.12%
+[ Tue Aug 23 16:38:44 2022 ] 	Top5: 82.09%
+[ Tue Aug 23 16:38:44 2022 ] Training epoch: 96
+[ Tue Aug 23 16:39:19 2022 ] 	Training loss: 0.9473.  Training acc: 98.59%.
+[ Tue Aug 23 16:39:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:39:19 2022 ] Eval epoch: 96
+[ Tue Aug 23 16:39:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:39:56 2022 ] 	Top1: 51.74%
+[ Tue Aug 23 16:39:56 2022 ] 	Top5: 82.59%
+[ Tue Aug 23 16:39:57 2022 ] Training epoch: 97
+[ Tue Aug 23 16:40:31 2022 ] 	Training loss: 0.9442.  Training acc: 98.57%.
+[ Tue Aug 23 16:40:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:40:31 2022 ] Eval epoch: 97
+[ Tue Aug 23 16:41:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:41:08 2022 ] 	Top1: 52.09%
+[ Tue Aug 23 16:41:09 2022 ] 	Top5: 82.88%
+[ Tue Aug 23 16:41:09 2022 ] Training epoch: 98
+[ Tue Aug 23 16:41:44 2022 ] 	Training loss: 0.9416.  Training acc: 98.64%.
+[ Tue Aug 23 16:41:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:41:44 2022 ] Eval epoch: 98
+[ Tue Aug 23 16:42:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:42:20 2022 ] 	Top1: 51.07%
+[ Tue Aug 23 16:42:21 2022 ] 	Top5: 82.30%
+[ Tue Aug 23 16:42:21 2022 ] Training epoch: 99
+[ Tue Aug 23 16:42:56 2022 ] 	Training loss: 0.9400.  Training acc: 98.57%.
+[ Tue Aug 23 16:42:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:42:56 2022 ] Eval epoch: 99
+[ Tue Aug 23 16:43:32 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:43:32 2022 ] 	Top1: 52.13%
+[ Tue Aug 23 16:43:33 2022 ] 	Top5: 82.73%
+[ Tue Aug 23 16:43:33 2022 ] Training epoch: 100
+[ Tue Aug 23 16:44:08 2022 ] 	Training loss: 0.9337.  Training acc: 98.73%.
+[ Tue Aug 23 16:44:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:44:08 2022 ] Eval epoch: 100
+[ Tue Aug 23 16:44:45 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:44:45 2022 ] 	Top1: 51.54%
+[ Tue Aug 23 16:44:46 2022 ] 	Top5: 82.32%
+[ Tue Aug 23 16:44:46 2022 ] Training epoch: 101
+[ Tue Aug 23 16:45:20 2022 ] 	Training loss: 0.9297.  Training acc: 98.93%.
+[ Tue Aug 23 16:45:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:45:20 2022 ] Eval epoch: 101
+[ Tue Aug 23 16:45:57 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:45:57 2022 ] 	Top1: 51.84%
+[ Tue Aug 23 16:45:57 2022 ] 	Top5: 82.73%
+[ Tue Aug 23 16:45:58 2022 ] Training epoch: 102
+[ Tue Aug 23 16:46:32 2022 ] 	Training loss: 0.9296.  Training acc: 98.88%.
+[ Tue Aug 23 16:46:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:46:32 2022 ] Eval epoch: 102
+[ Tue Aug 23 16:47:09 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:47:09 2022 ] 	Top1: 51.52%
+[ Tue Aug 23 16:47:09 2022 ] 	Top5: 82.47%
+[ Tue Aug 23 16:47:10 2022 ] Training epoch: 103
+[ Tue Aug 23 16:47:45 2022 ] 	Training loss: 0.9283.  Training acc: 99.00%.
+[ Tue Aug 23 16:47:45 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:47:45 2022 ] Eval epoch: 103
+[ Tue Aug 23 16:48:21 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:48:22 2022 ] 	Top1: 51.55%
+[ Tue Aug 23 16:48:22 2022 ] 	Top5: 82.69%
+[ Tue Aug 23 16:48:23 2022 ] Training epoch: 104
+[ Tue Aug 23 16:48:57 2022 ] 	Training loss: 0.9274.  Training acc: 99.06%.
+[ Tue Aug 23 16:48:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:48:57 2022 ] Eval epoch: 104
+[ Tue Aug 23 16:49:33 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:49:34 2022 ] 	Top1: 51.66%
+[ Tue Aug 23 16:49:34 2022 ] 	Top5: 82.68%
+[ Tue Aug 23 16:49:34 2022 ] Training epoch: 105
+[ Tue Aug 23 16:50:08 2022 ] 	Training loss: 0.9269.  Training acc: 98.96%.
+[ Tue Aug 23 16:50:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:50:08 2022 ] Eval epoch: 105
+[ Tue Aug 23 16:50:45 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:50:45 2022 ] 	Top1: 51.60%
+[ Tue Aug 23 16:50:45 2022 ] 	Top5: 82.62%
+[ Tue Aug 23 16:50:46 2022 ] Training epoch: 106
+[ Tue Aug 23 16:51:20 2022 ] 	Training loss: 0.9268.  Training acc: 98.99%.
+[ Tue Aug 23 16:51:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:51:20 2022 ] Eval epoch: 106
+[ Tue Aug 23 16:51:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:51:57 2022 ] 	Top1: 51.48%
+[ Tue Aug 23 16:51:57 2022 ] 	Top5: 82.41%
+[ Tue Aug 23 16:51:57 2022 ] Training epoch: 107
+[ Tue Aug 23 16:52:31 2022 ] 	Training loss: 0.9284.  Training acc: 98.93%.
+[ Tue Aug 23 16:52:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:52:32 2022 ] Eval epoch: 107
+[ Tue Aug 23 16:53:07 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:53:08 2022 ] 	Top1: 51.63%
+[ Tue Aug 23 16:53:08 2022 ] 	Top5: 82.60%
+[ Tue Aug 23 16:53:08 2022 ] Training epoch: 108
+[ Tue Aug 23 16:53:43 2022 ] 	Training loss: 0.9271.  Training acc: 99.01%.
+[ Tue Aug 23 16:53:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:53:43 2022 ] Eval epoch: 108
+[ Tue Aug 23 16:54:19 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:54:19 2022 ] 	Top1: 51.91%
+[ Tue Aug 23 16:54:20 2022 ] 	Top5: 82.69%
+[ Tue Aug 23 16:54:20 2022 ] Training epoch: 109
+[ Tue Aug 23 16:54:54 2022 ] 	Training loss: 0.9242.  Training acc: 99.13%.
+[ Tue Aug 23 16:54:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:54:54 2022 ] Eval epoch: 109
+[ Tue Aug 23 16:55:32 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:55:32 2022 ] 	Top1: 51.41%
+[ Tue Aug 23 16:55:33 2022 ] 	Top5: 82.35%
+[ Tue Aug 23 16:55:33 2022 ] Training epoch: 110
+[ Tue Aug 23 16:56:07 2022 ] 	Training loss: 0.9275.  Training acc: 98.96%.
+[ Tue Aug 23 16:56:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 16:56:07 2022 ] Eval epoch: 110
+[ Tue Aug 23 16:56:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 16:56:44 2022 ] 	Top1: 51.48%
+[ Tue Aug 23 16:56:45 2022 ] 	Top5: 82.45%

ckpt/Others/InfoGCN/ntu_120_xsub_LT/j/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:298aae1c1699b12251c3f04d6d10747d31180583f3d6f86bc85388c112292cfe
+size 26776168

ckpt/Others/InfoGCN/ntu_120_xsub_LT/j/log.txt

@@ -0,0 +1,775 @@
+[ Tue Aug 23 19:51:49 2022 ] using warm up, epoch: 5
+[ Tue Aug 23 19:52:10 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 120, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu120/NTU120_CSub_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': False, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_120_xsub_LT/j', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 8, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 256, 'test_batch_size': 256, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Tue Aug 23 19:52:10 2022 ] # Parameters: 1572227
+[ Tue Aug 23 19:52:10 2022 ] Training epoch: 1
+[ Tue Aug 23 19:52:50 2022 ] 	Training loss: 7.0181.  Training acc: 9.30%.
+[ Tue Aug 23 19:52:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 19:52:50 2022 ] Eval epoch: 1
+[ Tue Aug 23 19:53:29 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 19:53:30 2022 ] 	Top1: 4.77%
+[ Tue Aug 23 19:53:30 2022 ] 	Top5: 13.11%
+[ Tue Aug 23 19:53:31 2022 ] Training epoch: 2
+[ Tue Aug 23 19:54:06 2022 ] 	Training loss: 3.4735.  Training acc: 23.55%.
+[ Tue Aug 23 19:54:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 19:54:06 2022 ] Eval epoch: 2
+[ Tue Aug 23 19:54:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 19:54:44 2022 ] 	Top1: 7.44%
+[ Tue Aug 23 19:54:45 2022 ] 	Top5: 19.63%
+[ Tue Aug 23 19:54:45 2022 ] Training epoch: 3
+[ Tue Aug 23 19:55:22 2022 ] 	Training loss: 3.1318.  Training acc: 30.95%.
+[ Tue Aug 23 19:55:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 19:55:22 2022 ] Eval epoch: 3
+[ Tue Aug 23 19:56:01 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 19:56:02 2022 ] 	Top1: 10.97%
+[ Tue Aug 23 19:56:02 2022 ] 	Top5: 26.34%
+[ Tue Aug 23 19:56:03 2022 ] Training epoch: 4
+[ Tue Aug 23 19:56:40 2022 ] 	Training loss: 2.9417.  Training acc: 36.36%.
+[ Tue Aug 23 19:56:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 19:56:40 2022 ] Eval epoch: 4
+[ Tue Aug 23 19:57:28 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 19:57:29 2022 ] 	Top1: 12.85%
+[ Tue Aug 23 19:57:29 2022 ] 	Top5: 29.44%
+[ Tue Aug 23 19:57:30 2022 ] Training epoch: 5
+[ Tue Aug 23 19:58:09 2022 ] 	Training loss: 2.7454.  Training acc: 40.77%.
+[ Tue Aug 23 19:58:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 19:58:09 2022 ] Eval epoch: 5
+[ Tue Aug 23 19:58:49 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 19:58:49 2022 ] 	Top1: 14.12%
+[ Tue Aug 23 19:58:50 2022 ] 	Top5: 31.41%
+[ Tue Aug 23 19:58:51 2022 ] Training epoch: 6
+[ Tue Aug 23 19:59:27 2022 ] 	Training loss: 2.5627.  Training acc: 45.93%.
+[ Tue Aug 23 19:59:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 19:59:27 2022 ] Eval epoch: 6
+[ Tue Aug 23 20:00:11 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:00:11 2022 ] 	Top1: 15.41%
+[ Tue Aug 23 20:00:12 2022 ] 	Top5: 34.10%
+[ Tue Aug 23 20:00:12 2022 ] Training epoch: 7
+[ Tue Aug 23 20:00:49 2022 ] 	Training loss: 2.4549.  Training acc: 48.48%.
+[ Tue Aug 23 20:00:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:00:49 2022 ] Eval epoch: 7
+[ Tue Aug 23 20:01:30 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:01:30 2022 ] 	Top1: 16.51%
+[ Tue Aug 23 20:01:31 2022 ] 	Top5: 39.38%
+[ Tue Aug 23 20:01:31 2022 ] Training epoch: 8
+[ Tue Aug 23 20:02:12 2022 ] 	Training loss: 2.3929.  Training acc: 50.17%.
+[ Tue Aug 23 20:02:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:02:12 2022 ] Eval epoch: 8
+[ Tue Aug 23 20:02:51 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:02:52 2022 ] 	Top1: 18.99%
+[ Tue Aug 23 20:02:52 2022 ] 	Top5: 41.82%
+[ Tue Aug 23 20:02:53 2022 ] Training epoch: 9
+[ Tue Aug 23 20:03:29 2022 ] 	Training loss: 2.3106.  Training acc: 52.75%.
+[ Tue Aug 23 20:03:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:03:29 2022 ] Eval epoch: 9
+[ Tue Aug 23 20:04:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:04:21 2022 ] 	Top1: 19.16%
+[ Tue Aug 23 20:04:21 2022 ] 	Top5: 44.71%
+[ Tue Aug 23 20:04:22 2022 ] Training epoch: 10
+[ Tue Aug 23 20:04:58 2022 ] 	Training loss: 2.2302.  Training acc: 55.44%.
+[ Tue Aug 23 20:04:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:04:58 2022 ] Eval epoch: 10
+[ Tue Aug 23 20:05:38 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:05:38 2022 ] 	Top1: 22.68%
+[ Tue Aug 23 20:05:38 2022 ] 	Top5: 48.29%
+[ Tue Aug 23 20:05:39 2022 ] Training epoch: 11
+[ Tue Aug 23 20:06:16 2022 ] 	Training loss: 2.1833.  Training acc: 57.22%.
+[ Tue Aug 23 20:06:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:06:16 2022 ] Eval epoch: 11
+[ Tue Aug 23 20:07:07 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:07:07 2022 ] 	Top1: 23.17%
+[ Tue Aug 23 20:07:07 2022 ] 	Top5: 50.98%
+[ Tue Aug 23 20:07:08 2022 ] Training epoch: 12
+[ Tue Aug 23 20:07:44 2022 ] 	Training loss: 2.1052.  Training acc: 59.65%.
+[ Tue Aug 23 20:07:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:07:44 2022 ] Eval epoch: 12
+[ Tue Aug 23 20:08:25 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:08:25 2022 ] 	Top1: 25.84%
+[ Tue Aug 23 20:08:26 2022 ] 	Top5: 49.76%
+[ Tue Aug 23 20:08:26 2022 ] Training epoch: 13
+[ Tue Aug 23 20:09:03 2022 ] 	Training loss: 2.0512.  Training acc: 61.10%.
+[ Tue Aug 23 20:09:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:09:03 2022 ] Eval epoch: 13
+[ Tue Aug 23 20:09:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:09:43 2022 ] 	Top1: 26.72%
+[ Tue Aug 23 20:09:44 2022 ] 	Top5: 53.05%
+[ Tue Aug 23 20:09:44 2022 ] Training epoch: 14
+[ Tue Aug 23 20:10:21 2022 ] 	Training loss: 2.0210.  Training acc: 61.70%.
+[ Tue Aug 23 20:10:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:10:21 2022 ] Eval epoch: 14
+[ Tue Aug 23 20:11:03 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:11:03 2022 ] 	Top1: 26.41%
+[ Tue Aug 23 20:11:04 2022 ] 	Top5: 55.25%
+[ Tue Aug 23 20:11:04 2022 ] Training epoch: 15
+[ Tue Aug 23 20:11:41 2022 ] 	Training loss: 1.9691.  Training acc: 63.76%.
+[ Tue Aug 23 20:11:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:11:41 2022 ] Eval epoch: 15
+[ Tue Aug 23 20:12:22 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:12:23 2022 ] 	Top1: 24.67%
+[ Tue Aug 23 20:12:23 2022 ] 	Top5: 55.22%
+[ Tue Aug 23 20:12:23 2022 ] Training epoch: 16
+[ Tue Aug 23 20:13:00 2022 ] 	Training loss: 1.9372.  Training acc: 65.18%.
+[ Tue Aug 23 20:13:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:13:00 2022 ] Eval epoch: 16
+[ Tue Aug 23 20:13:40 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:13:40 2022 ] 	Top1: 26.10%
+[ Tue Aug 23 20:13:41 2022 ] 	Top5: 56.05%
+[ Tue Aug 23 20:13:41 2022 ] Training epoch: 17
+[ Tue Aug 23 20:14:18 2022 ] 	Training loss: 1.9111.  Training acc: 65.66%.
+[ Tue Aug 23 20:14:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:14:18 2022 ] Eval epoch: 17
+[ Tue Aug 23 20:14:59 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:15:00 2022 ] 	Top1: 25.83%
+[ Tue Aug 23 20:15:00 2022 ] 	Top5: 54.34%
+[ Tue Aug 23 20:15:01 2022 ] Training epoch: 18
+[ Tue Aug 23 20:15:38 2022 ] 	Training loss: 1.8769.  Training acc: 66.64%.
+[ Tue Aug 23 20:15:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:15:38 2022 ] Eval epoch: 18
+[ Tue Aug 23 20:16:18 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:16:18 2022 ] 	Top1: 29.45%
+[ Tue Aug 23 20:16:19 2022 ] 	Top5: 60.98%
+[ Tue Aug 23 20:16:20 2022 ] Training epoch: 19
+[ Tue Aug 23 20:16:58 2022 ] 	Training loss: 1.8435.  Training acc: 67.82%.
+[ Tue Aug 23 20:16:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:16:58 2022 ] Eval epoch: 19
+[ Tue Aug 23 20:17:39 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:17:39 2022 ] 	Top1: 31.47%
+[ Tue Aug 23 20:17:40 2022 ] 	Top5: 63.82%
+[ Tue Aug 23 20:17:41 2022 ] Training epoch: 20
+[ Tue Aug 23 20:18:17 2022 ] 	Training loss: 1.8118.  Training acc: 68.84%.
+[ Tue Aug 23 20:18:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:18:17 2022 ] Eval epoch: 20
+[ Tue Aug 23 20:18:57 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:18:57 2022 ] 	Top1: 32.94%
+[ Tue Aug 23 20:18:58 2022 ] 	Top5: 63.52%
+[ Tue Aug 23 20:18:59 2022 ] Training epoch: 21
+[ Tue Aug 23 20:19:36 2022 ] 	Training loss: 1.7920.  Training acc: 69.66%.
+[ Tue Aug 23 20:19:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:19:36 2022 ] Eval epoch: 21
+[ Tue Aug 23 20:20:16 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:20:17 2022 ] 	Top1: 31.71%
+[ Tue Aug 23 20:20:17 2022 ] 	Top5: 64.58%
+[ Tue Aug 23 20:20:18 2022 ] Training epoch: 22
+[ Tue Aug 23 20:21:01 2022 ] 	Training loss: 1.7698.  Training acc: 70.38%.
+[ Tue Aug 23 20:21:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:21:01 2022 ] Eval epoch: 22
+[ Tue Aug 23 20:21:40 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:21:40 2022 ] 	Top1: 31.92%
+[ Tue Aug 23 20:21:41 2022 ] 	Top5: 63.39%
+[ Tue Aug 23 20:21:41 2022 ] Training epoch: 23
+[ Tue Aug 23 20:22:18 2022 ] 	Training loss: 1.7428.  Training acc: 70.98%.
+[ Tue Aug 23 20:22:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:22:18 2022 ] Eval epoch: 23
+[ Tue Aug 23 20:22:57 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:22:58 2022 ] 	Top1: 33.27%
+[ Tue Aug 23 20:22:58 2022 ] 	Top5: 66.15%
+[ Tue Aug 23 20:22:59 2022 ] Training epoch: 24
+[ Tue Aug 23 20:23:35 2022 ] 	Training loss: 1.7133.  Training acc: 72.15%.
+[ Tue Aug 23 20:23:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:23:35 2022 ] Eval epoch: 24
+[ Tue Aug 23 20:24:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:24:13 2022 ] 	Top1: 35.54%
+[ Tue Aug 23 20:24:14 2022 ] 	Top5: 68.43%
+[ Tue Aug 23 20:24:15 2022 ] Training epoch: 25
+[ Tue Aug 23 20:24:51 2022 ] 	Training loss: 1.6966.  Training acc: 72.70%.
+[ Tue Aug 23 20:24:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:24:51 2022 ] Eval epoch: 25
+[ Tue Aug 23 20:25:29 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:25:29 2022 ] 	Top1: 35.22%
+[ Tue Aug 23 20:25:30 2022 ] 	Top5: 69.18%
+[ Tue Aug 23 20:25:30 2022 ] Training epoch: 26
+[ Tue Aug 23 20:26:07 2022 ] 	Training loss: 1.6708.  Training acc: 73.42%.
+[ Tue Aug 23 20:26:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:26:07 2022 ] Eval epoch: 26
+[ Tue Aug 23 20:26:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:26:45 2022 ] 	Top1: 34.50%
+[ Tue Aug 23 20:26:45 2022 ] 	Top5: 68.75%
+[ Tue Aug 23 20:26:45 2022 ] Training epoch: 27
+[ Tue Aug 23 20:27:21 2022 ] 	Training loss: 1.6524.  Training acc: 74.30%.
+[ Tue Aug 23 20:27:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:27:21 2022 ] Eval epoch: 27
+[ Tue Aug 23 20:27:59 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:27:59 2022 ] 	Top1: 34.80%
+[ Tue Aug 23 20:28:00 2022 ] 	Top5: 67.70%
+[ Tue Aug 23 20:28:00 2022 ] Training epoch: 28
+[ Tue Aug 23 20:28:36 2022 ] 	Training loss: 1.6274.  Training acc: 75.09%.
+[ Tue Aug 23 20:28:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:28:36 2022 ] Eval epoch: 28
+[ Tue Aug 23 20:29:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:29:14 2022 ] 	Top1: 36.97%
+[ Tue Aug 23 20:29:14 2022 ] 	Top5: 71.80%
+[ Tue Aug 23 20:29:15 2022 ] Training epoch: 29
+[ Tue Aug 23 20:29:50 2022 ] 	Training loss: 1.6060.  Training acc: 76.11%.
+[ Tue Aug 23 20:29:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:29:50 2022 ] Eval epoch: 29
+[ Tue Aug 23 20:30:28 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:30:29 2022 ] 	Top1: 36.12%
+[ Tue Aug 23 20:30:29 2022 ] 	Top5: 70.97%
+[ Tue Aug 23 20:30:29 2022 ] Training epoch: 30
+[ Tue Aug 23 20:31:05 2022 ] 	Training loss: 1.5874.  Training acc: 76.75%.
+[ Tue Aug 23 20:31:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:31:05 2022 ] Eval epoch: 30
+[ Tue Aug 23 20:31:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:31:43 2022 ] 	Top1: 35.61%
+[ Tue Aug 23 20:31:44 2022 ] 	Top5: 69.94%
+[ Tue Aug 23 20:31:44 2022 ] Training epoch: 31
+[ Tue Aug 23 20:32:20 2022 ] 	Training loss: 1.5703.  Training acc: 77.10%.
+[ Tue Aug 23 20:32:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:32:20 2022 ] Eval epoch: 31
+[ Tue Aug 23 20:32:58 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:32:58 2022 ] 	Top1: 33.02%
+[ Tue Aug 23 20:32:58 2022 ] 	Top5: 63.38%
+[ Tue Aug 23 20:32:59 2022 ] Training epoch: 32
+[ Tue Aug 23 20:33:35 2022 ] 	Training loss: 1.5575.  Training acc: 77.47%.
+[ Tue Aug 23 20:33:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:33:35 2022 ] Eval epoch: 32
+[ Tue Aug 23 20:34:17 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:34:18 2022 ] 	Top1: 35.18%
+[ Tue Aug 23 20:34:18 2022 ] 	Top5: 71.77%
+[ Tue Aug 23 20:34:19 2022 ] Training epoch: 33
+[ Tue Aug 23 20:34:54 2022 ] 	Training loss: 1.5406.  Training acc: 77.91%.
+[ Tue Aug 23 20:34:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:34:54 2022 ] Eval epoch: 33
+[ Tue Aug 23 20:35:33 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:35:33 2022 ] 	Top1: 36.96%
+[ Tue Aug 23 20:35:34 2022 ] 	Top5: 72.51%
+[ Tue Aug 23 20:35:34 2022 ] Training epoch: 34
+[ Tue Aug 23 20:36:17 2022 ] 	Training loss: 1.5254.  Training acc: 78.50%.
+[ Tue Aug 23 20:36:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:36:17 2022 ] Eval epoch: 34
+[ Tue Aug 23 20:36:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:36:56 2022 ] 	Top1: 39.33%
+[ Tue Aug 23 20:36:56 2022 ] 	Top5: 73.36%
+[ Tue Aug 23 20:36:57 2022 ] Training epoch: 35
+[ Tue Aug 23 20:37:33 2022 ] 	Training loss: 1.5042.  Training acc: 79.35%.
+[ Tue Aug 23 20:37:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:37:33 2022 ] Eval epoch: 35
+[ Tue Aug 23 20:38:11 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:38:12 2022 ] 	Top1: 34.80%
+[ Tue Aug 23 20:38:12 2022 ] 	Top5: 68.03%
+[ Tue Aug 23 20:38:13 2022 ] Training epoch: 36
+[ Tue Aug 23 20:38:49 2022 ] 	Training loss: 1.4919.  Training acc: 79.75%.
+[ Tue Aug 23 20:38:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:38:49 2022 ] Eval epoch: 36
+[ Tue Aug 23 20:39:30 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:39:31 2022 ] 	Top1: 38.81%
+[ Tue Aug 23 20:39:31 2022 ] 	Top5: 73.32%
+[ Tue Aug 23 20:39:31 2022 ] Training epoch: 37
+[ Tue Aug 23 20:40:09 2022 ] 	Training loss: 1.4750.  Training acc: 80.50%.
+[ Tue Aug 23 20:40:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:40:09 2022 ] Eval epoch: 37
+[ Tue Aug 23 20:40:48 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:40:49 2022 ] 	Top1: 36.39%
+[ Tue Aug 23 20:40:49 2022 ] 	Top5: 71.23%
+[ Tue Aug 23 20:40:49 2022 ] Training epoch: 38
+[ Tue Aug 23 20:41:25 2022 ] 	Training loss: 1.4747.  Training acc: 80.29%.
+[ Tue Aug 23 20:41:25 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:41:25 2022 ] Eval epoch: 38
+[ Tue Aug 23 20:42:15 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:42:16 2022 ] 	Top1: 39.31%
+[ Tue Aug 23 20:42:16 2022 ] 	Top5: 73.59%
+[ Tue Aug 23 20:42:17 2022 ] Training epoch: 39
+[ Tue Aug 23 20:42:53 2022 ] 	Training loss: 1.4395.  Training acc: 81.60%.
+[ Tue Aug 23 20:42:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:42:53 2022 ] Eval epoch: 39
+[ Tue Aug 23 20:43:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:43:43 2022 ] 	Top1: 38.94%
+[ Tue Aug 23 20:43:44 2022 ] 	Top5: 75.09%
+[ Tue Aug 23 20:43:44 2022 ] Training epoch: 40
+[ Tue Aug 23 20:44:20 2022 ] 	Training loss: 1.4441.  Training acc: 81.39%.
+[ Tue Aug 23 20:44:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:44:20 2022 ] Eval epoch: 40
+[ Tue Aug 23 20:44:59 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:44:59 2022 ] 	Top1: 40.97%
+[ Tue Aug 23 20:45:00 2022 ] 	Top5: 77.43%
+[ Tue Aug 23 20:45:01 2022 ] Training epoch: 41
+[ Tue Aug 23 20:45:42 2022 ] 	Training loss: 1.4301.  Training acc: 81.89%.
+[ Tue Aug 23 20:45:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:45:42 2022 ] Eval epoch: 41
+[ Tue Aug 23 20:46:30 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:46:31 2022 ] 	Top1: 42.62%
+[ Tue Aug 23 20:46:31 2022 ] 	Top5: 77.16%
+[ Tue Aug 23 20:46:32 2022 ] Training epoch: 42
+[ Tue Aug 23 20:47:11 2022 ] 	Training loss: 1.4178.  Training acc: 82.10%.
+[ Tue Aug 23 20:47:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:47:11 2022 ] Eval epoch: 42
+[ Tue Aug 23 20:47:59 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:47:59 2022 ] 	Top1: 39.72%
+[ Tue Aug 23 20:47:59 2022 ] 	Top5: 74.22%
+[ Tue Aug 23 20:48:00 2022 ] Training epoch: 43
+[ Tue Aug 23 20:48:35 2022 ] 	Training loss: 1.4054.  Training acc: 82.70%.
+[ Tue Aug 23 20:48:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:48:35 2022 ] Eval epoch: 43
+[ Tue Aug 23 20:49:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:49:14 2022 ] 	Top1: 44.10%
+[ Tue Aug 23 20:49:14 2022 ] 	Top5: 80.25%
+[ Tue Aug 23 20:49:15 2022 ] Training epoch: 44
+[ Tue Aug 23 20:49:51 2022 ] 	Training loss: 1.3983.  Training acc: 82.58%.
+[ Tue Aug 23 20:49:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:49:51 2022 ] Eval epoch: 44
+[ Tue Aug 23 20:50:30 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:50:30 2022 ] 	Top1: 41.26%
+[ Tue Aug 23 20:50:31 2022 ] 	Top5: 76.85%
+[ Tue Aug 23 20:50:31 2022 ] Training epoch: 45
+[ Tue Aug 23 20:51:06 2022 ] 	Training loss: 1.3798.  Training acc: 83.39%.
+[ Tue Aug 23 20:51:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:51:06 2022 ] Eval epoch: 45
+[ Tue Aug 23 20:51:45 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:51:45 2022 ] 	Top1: 42.76%
+[ Tue Aug 23 20:51:45 2022 ] 	Top5: 76.95%
+[ Tue Aug 23 20:51:46 2022 ] Training epoch: 46
+[ Tue Aug 23 20:52:22 2022 ] 	Training loss: 1.3716.  Training acc: 83.63%.
+[ Tue Aug 23 20:52:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:52:22 2022 ] Eval epoch: 46
+[ Tue Aug 23 20:53:00 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:53:00 2022 ] 	Top1: 43.04%
+[ Tue Aug 23 20:53:01 2022 ] 	Top5: 77.86%
+[ Tue Aug 23 20:53:01 2022 ] Training epoch: 47
+[ Tue Aug 23 20:53:37 2022 ] 	Training loss: 1.3609.  Training acc: 84.21%.
+[ Tue Aug 23 20:53:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:53:37 2022 ] Eval epoch: 47
+[ Tue Aug 23 20:54:16 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:54:16 2022 ] 	Top1: 42.46%
+[ Tue Aug 23 20:54:17 2022 ] 	Top5: 79.36%
+[ Tue Aug 23 20:54:17 2022 ] Training epoch: 48
+[ Tue Aug 23 20:54:53 2022 ] 	Training loss: 1.3530.  Training acc: 84.20%.
+[ Tue Aug 23 20:54:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:54:53 2022 ] Eval epoch: 48
+[ Tue Aug 23 20:55:30 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:55:31 2022 ] 	Top1: 43.20%
+[ Tue Aug 23 20:55:31 2022 ] 	Top5: 79.01%
+[ Tue Aug 23 20:55:32 2022 ] Training epoch: 49
+[ Tue Aug 23 20:56:07 2022 ] 	Training loss: 1.3484.  Training acc: 84.60%.
+[ Tue Aug 23 20:56:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:56:07 2022 ] Eval epoch: 49
+[ Tue Aug 23 20:56:46 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:56:47 2022 ] 	Top1: 41.72%
+[ Tue Aug 23 20:56:47 2022 ] 	Top5: 78.09%
+[ Tue Aug 23 20:56:48 2022 ] Training epoch: 50
+[ Tue Aug 23 20:57:23 2022 ] 	Training loss: 1.3385.  Training acc: 84.79%.
+[ Tue Aug 23 20:57:23 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:57:23 2022 ] Eval epoch: 50
+[ Tue Aug 23 20:58:01 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:58:01 2022 ] 	Top1: 41.84%
+[ Tue Aug 23 20:58:01 2022 ] 	Top5: 78.80%
+[ Tue Aug 23 20:58:02 2022 ] Training epoch: 51
+[ Tue Aug 23 20:58:38 2022 ] 	Training loss: 1.3267.  Training acc: 85.16%.
+[ Tue Aug 23 20:58:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:58:38 2022 ] Eval epoch: 51
+[ Tue Aug 23 20:59:18 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:59:18 2022 ] 	Top1: 38.64%
+[ Tue Aug 23 20:59:18 2022 ] 	Top5: 72.48%
+[ Tue Aug 23 20:59:20 2022 ] Training epoch: 52
+[ Tue Aug 23 20:59:56 2022 ] 	Training loss: 1.3343.  Training acc: 85.23%.
+[ Tue Aug 23 20:59:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:59:56 2022 ] Eval epoch: 52
+[ Tue Aug 23 21:00:36 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:00:36 2022 ] 	Top1: 40.41%
+[ Tue Aug 23 21:00:37 2022 ] 	Top5: 76.95%
+[ Tue Aug 23 21:00:37 2022 ] Training epoch: 53
+[ Tue Aug 23 21:01:13 2022 ] 	Training loss: 1.3023.  Training acc: 86.33%.
+[ Tue Aug 23 21:01:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:01:13 2022 ] Eval epoch: 53
+[ Tue Aug 23 21:01:53 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:01:53 2022 ] 	Top1: 41.72%
+[ Tue Aug 23 21:01:54 2022 ] 	Top5: 78.25%
+[ Tue Aug 23 21:01:54 2022 ] Training epoch: 54
+[ Tue Aug 23 21:02:31 2022 ] 	Training loss: 1.2997.  Training acc: 86.30%.
+[ Tue Aug 23 21:02:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:02:31 2022 ] Eval epoch: 54
+[ Tue Aug 23 21:03:22 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:03:23 2022 ] 	Top1: 46.53%
+[ Tue Aug 23 21:03:23 2022 ] 	Top5: 81.95%
+[ Tue Aug 23 21:03:24 2022 ] Training epoch: 55
+[ Tue Aug 23 21:04:00 2022 ] 	Training loss: 1.2989.  Training acc: 86.15%.
+[ Tue Aug 23 21:04:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:04:00 2022 ] Eval epoch: 55
+[ Tue Aug 23 21:04:40 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:04:41 2022 ] 	Top1: 46.72%
+[ Tue Aug 23 21:04:41 2022 ] 	Top5: 80.83%
+[ Tue Aug 23 21:04:42 2022 ] Training epoch: 56
+[ Tue Aug 23 21:05:18 2022 ] 	Training loss: 1.2822.  Training acc: 86.88%.
+[ Tue Aug 23 21:05:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:05:18 2022 ] Eval epoch: 56
+[ Tue Aug 23 21:05:57 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:05:57 2022 ] 	Top1: 43.59%
+[ Tue Aug 23 21:05:58 2022 ] 	Top5: 79.06%
+[ Tue Aug 23 21:05:58 2022 ] Training epoch: 57
+[ Tue Aug 23 21:06:34 2022 ] 	Training loss: 1.2856.  Training acc: 86.65%.
+[ Tue Aug 23 21:06:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:06:34 2022 ] Eval epoch: 57
+[ Tue Aug 23 21:07:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:07:14 2022 ] 	Top1: 42.56%
+[ Tue Aug 23 21:07:14 2022 ] 	Top5: 78.47%
+[ Tue Aug 23 21:07:15 2022 ] Training epoch: 58
+[ Tue Aug 23 21:07:51 2022 ] 	Training loss: 1.2810.  Training acc: 86.88%.
+[ Tue Aug 23 21:07:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:07:51 2022 ] Eval epoch: 58
+[ Tue Aug 23 21:08:31 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:08:31 2022 ] 	Top1: 43.80%
+[ Tue Aug 23 21:08:32 2022 ] 	Top5: 79.53%
+[ Tue Aug 23 21:08:32 2022 ] Training epoch: 59
+[ Tue Aug 23 21:09:09 2022 ] 	Training loss: 1.2785.  Training acc: 87.07%.
+[ Tue Aug 23 21:09:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:09:09 2022 ] Eval epoch: 59
+[ Tue Aug 23 21:09:48 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:09:49 2022 ] 	Top1: 44.38%
+[ Tue Aug 23 21:09:49 2022 ] 	Top5: 79.45%
+[ Tue Aug 23 21:09:49 2022 ] Training epoch: 60
+[ Tue Aug 23 21:10:26 2022 ] 	Training loss: 1.2628.  Training acc: 87.60%.
+[ Tue Aug 23 21:10:26 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:10:26 2022 ] Eval epoch: 60
+[ Tue Aug 23 21:11:04 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:11:05 2022 ] 	Top1: 45.57%
+[ Tue Aug 23 21:11:05 2022 ] 	Top5: 80.58%
+[ Tue Aug 23 21:11:06 2022 ] Training epoch: 61
+[ Tue Aug 23 21:11:43 2022 ] 	Training loss: 1.2572.  Training acc: 87.54%.
+[ Tue Aug 23 21:11:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:11:43 2022 ] Eval epoch: 61
+[ Tue Aug 23 21:12:23 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:12:23 2022 ] 	Top1: 45.37%
+[ Tue Aug 23 21:12:24 2022 ] 	Top5: 80.83%
+[ Tue Aug 23 21:12:24 2022 ] Training epoch: 62
+[ Tue Aug 23 21:13:01 2022 ] 	Training loss: 1.2589.  Training acc: 87.70%.
+[ Tue Aug 23 21:13:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:13:01 2022 ] Eval epoch: 62
+[ Tue Aug 23 21:13:39 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:13:40 2022 ] 	Top1: 48.92%
+[ Tue Aug 23 21:13:40 2022 ] 	Top5: 81.73%
+[ Tue Aug 23 21:13:41 2022 ] Training epoch: 63
+[ Tue Aug 23 21:14:17 2022 ] 	Training loss: 1.2339.  Training acc: 88.47%.
+[ Tue Aug 23 21:14:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:14:17 2022 ] Eval epoch: 63
+[ Tue Aug 23 21:14:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:14:56 2022 ] 	Top1: 43.51%
+[ Tue Aug 23 21:14:57 2022 ] 	Top5: 78.26%
+[ Tue Aug 23 21:14:57 2022 ] Training epoch: 64
+[ Tue Aug 23 21:15:33 2022 ] 	Training loss: 1.2366.  Training acc: 88.41%.
+[ Tue Aug 23 21:15:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:15:33 2022 ] Eval epoch: 64
+[ Tue Aug 23 21:16:12 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:16:12 2022 ] 	Top1: 44.38%
+[ Tue Aug 23 21:16:12 2022 ] 	Top5: 79.29%
+[ Tue Aug 23 21:16:13 2022 ] Training epoch: 65
+[ Tue Aug 23 21:16:49 2022 ] 	Training loss: 1.2255.  Training acc: 88.71%.
+[ Tue Aug 23 21:16:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:16:49 2022 ] Eval epoch: 65
+[ Tue Aug 23 21:17:27 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:17:27 2022 ] 	Top1: 48.26%
+[ Tue Aug 23 21:17:28 2022 ] 	Top5: 82.08%
+[ Tue Aug 23 21:17:28 2022 ] Training epoch: 66
+[ Tue Aug 23 21:18:04 2022 ] 	Training loss: 1.2260.  Training acc: 88.55%.
+[ Tue Aug 23 21:18:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:18:04 2022 ] Eval epoch: 66
+[ Tue Aug 23 21:18:42 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:18:43 2022 ] 	Top1: 43.51%
+[ Tue Aug 23 21:18:43 2022 ] 	Top5: 78.76%
+[ Tue Aug 23 21:18:43 2022 ] Training epoch: 67
+[ Tue Aug 23 21:19:20 2022 ] 	Training loss: 1.2193.  Training acc: 88.67%.
+[ Tue Aug 23 21:19:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:19:20 2022 ] Eval epoch: 67
+[ Tue Aug 23 21:19:58 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:19:59 2022 ] 	Top1: 48.36%
+[ Tue Aug 23 21:19:59 2022 ] 	Top5: 81.53%
+[ Tue Aug 23 21:20:00 2022 ] Training epoch: 68
+[ Tue Aug 23 21:20:36 2022 ] 	Training loss: 1.2092.  Training acc: 89.32%.
+[ Tue Aug 23 21:20:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:20:36 2022 ] Eval epoch: 68
+[ Tue Aug 23 21:21:16 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:21:17 2022 ] 	Top1: 46.89%
+[ Tue Aug 23 21:21:17 2022 ] 	Top5: 80.89%
+[ Tue Aug 23 21:21:17 2022 ] Training epoch: 69
+[ Tue Aug 23 21:21:54 2022 ] 	Training loss: 1.2097.  Training acc: 89.32%.
+[ Tue Aug 23 21:21:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:21:54 2022 ] Eval epoch: 69
+[ Tue Aug 23 21:22:33 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:22:33 2022 ] 	Top1: 47.92%
+[ Tue Aug 23 21:22:34 2022 ] 	Top5: 82.40%
+[ Tue Aug 23 21:22:34 2022 ] Training epoch: 70
+[ Tue Aug 23 21:23:10 2022 ] 	Training loss: 1.1778.  Training acc: 90.37%.
+[ Tue Aug 23 21:23:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:23:10 2022 ] Eval epoch: 70
+[ Tue Aug 23 21:23:50 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:23:50 2022 ] 	Top1: 46.32%
+[ Tue Aug 23 21:23:50 2022 ] 	Top5: 81.53%
+[ Tue Aug 23 21:23:51 2022 ] Training epoch: 71
+[ Tue Aug 23 21:24:27 2022 ] 	Training loss: 1.1855.  Training acc: 90.09%.
+[ Tue Aug 23 21:24:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:24:27 2022 ] Eval epoch: 71
+[ Tue Aug 23 21:25:05 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:25:05 2022 ] 	Top1: 48.99%
+[ Tue Aug 23 21:25:06 2022 ] 	Top5: 82.52%
+[ Tue Aug 23 21:25:07 2022 ] Training epoch: 72
+[ Tue Aug 23 21:25:43 2022 ] 	Training loss: 1.1832.  Training acc: 90.14%.
+[ Tue Aug 23 21:25:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:25:43 2022 ] Eval epoch: 72
+[ Tue Aug 23 21:26:21 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:26:21 2022 ] 	Top1: 43.64%
+[ Tue Aug 23 21:26:22 2022 ] 	Top5: 78.92%
+[ Tue Aug 23 21:26:22 2022 ] Training epoch: 73
+[ Tue Aug 23 21:26:58 2022 ] 	Training loss: 1.1790.  Training acc: 90.21%.
+[ Tue Aug 23 21:26:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:26:58 2022 ] Eval epoch: 73
+[ Tue Aug 23 21:27:37 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:27:37 2022 ] 	Top1: 48.58%
+[ Tue Aug 23 21:27:38 2022 ] 	Top5: 81.87%
+[ Tue Aug 23 21:27:38 2022 ] Training epoch: 74
+[ Tue Aug 23 21:28:14 2022 ] 	Training loss: 1.1654.  Training acc: 90.52%.
+[ Tue Aug 23 21:28:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:28:14 2022 ] Eval epoch: 74
+[ Tue Aug 23 21:28:52 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:28:52 2022 ] 	Top1: 43.05%
+[ Tue Aug 23 21:28:53 2022 ] 	Top5: 76.75%
+[ Tue Aug 23 21:28:53 2022 ] Training epoch: 75
+[ Tue Aug 23 21:29:29 2022 ] 	Training loss: 1.1553.  Training acc: 91.17%.
+[ Tue Aug 23 21:29:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:29:29 2022 ] Eval epoch: 75
+[ Tue Aug 23 21:30:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:30:09 2022 ] 	Top1: 45.67%
+[ Tue Aug 23 21:30:09 2022 ] 	Top5: 80.10%
+[ Tue Aug 23 21:30:09 2022 ] Training epoch: 76
+[ Tue Aug 23 21:30:46 2022 ] 	Training loss: 1.1792.  Training acc: 90.19%.
+[ Tue Aug 23 21:30:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:30:46 2022 ] Eval epoch: 76
+[ Tue Aug 23 21:31:25 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:31:25 2022 ] 	Top1: 46.17%
+[ Tue Aug 23 21:31:26 2022 ] 	Top5: 79.37%
+[ Tue Aug 23 21:31:26 2022 ] Training epoch: 77
+[ Tue Aug 23 21:32:03 2022 ] 	Training loss: 1.1531.  Training acc: 91.32%.
+[ Tue Aug 23 21:32:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:32:03 2022 ] Eval epoch: 77
+[ Tue Aug 23 21:32:41 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:32:42 2022 ] 	Top1: 46.20%
+[ Tue Aug 23 21:32:42 2022 ] 	Top5: 79.90%
+[ Tue Aug 23 21:32:43 2022 ] Training epoch: 78
+[ Tue Aug 23 21:33:19 2022 ] 	Training loss: 1.1442.  Training acc: 91.52%.
+[ Tue Aug 23 21:33:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:33:19 2022 ] Eval epoch: 78
+[ Tue Aug 23 21:34:00 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:34:00 2022 ] 	Top1: 49.99%
+[ Tue Aug 23 21:34:01 2022 ] 	Top5: 83.09%
+[ Tue Aug 23 21:34:02 2022 ] Training epoch: 79
+[ Tue Aug 23 21:34:37 2022 ] 	Training loss: 1.1389.  Training acc: 91.89%.
+[ Tue Aug 23 21:34:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:34:37 2022 ] Eval epoch: 79
+[ Tue Aug 23 21:35:15 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:35:16 2022 ] 	Top1: 45.51%
+[ Tue Aug 23 21:35:16 2022 ] 	Top5: 78.18%
+[ Tue Aug 23 21:35:17 2022 ] Training epoch: 80
+[ Tue Aug 23 21:35:53 2022 ] 	Training loss: 1.1374.  Training acc: 91.68%.
+[ Tue Aug 23 21:35:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:35:53 2022 ] Eval epoch: 80
+[ Tue Aug 23 21:36:31 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:36:31 2022 ] 	Top1: 43.62%
+[ Tue Aug 23 21:36:32 2022 ] 	Top5: 79.33%
+[ Tue Aug 23 21:36:32 2022 ] Training epoch: 81
+[ Tue Aug 23 21:37:08 2022 ] 	Training loss: 1.1358.  Training acc: 92.04%.
+[ Tue Aug 23 21:37:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:37:08 2022 ] Eval epoch: 81
+[ Tue Aug 23 21:37:46 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:37:46 2022 ] 	Top1: 46.56%
+[ Tue Aug 23 21:37:47 2022 ] 	Top5: 80.11%
+[ Tue Aug 23 21:37:47 2022 ] Training epoch: 82
+[ Tue Aug 23 21:38:23 2022 ] 	Training loss: 1.1149.  Training acc: 92.86%.
+[ Tue Aug 23 21:38:23 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:38:23 2022 ] Eval epoch: 82
+[ Tue Aug 23 21:39:01 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:39:01 2022 ] 	Top1: 46.51%
+[ Tue Aug 23 21:39:02 2022 ] 	Top5: 80.22%
+[ Tue Aug 23 21:39:02 2022 ] Training epoch: 83
+[ Tue Aug 23 21:39:38 2022 ] 	Training loss: 1.1194.  Training acc: 92.33%.
+[ Tue Aug 23 21:39:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:39:38 2022 ] Eval epoch: 83
+[ Tue Aug 23 21:40:17 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:40:18 2022 ] 	Top1: 49.62%
+[ Tue Aug 23 21:40:18 2022 ] 	Top5: 83.18%
+[ Tue Aug 23 21:40:19 2022 ] Training epoch: 84
+[ Tue Aug 23 21:40:55 2022 ] 	Training loss: 1.1189.  Training acc: 92.47%.
+[ Tue Aug 23 21:40:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:40:55 2022 ] Eval epoch: 84
+[ Tue Aug 23 21:41:33 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:41:33 2022 ] 	Top1: 51.73%
+[ Tue Aug 23 21:41:34 2022 ] 	Top5: 84.05%
+[ Tue Aug 23 21:41:34 2022 ] Training epoch: 85
+[ Tue Aug 23 21:42:10 2022 ] 	Training loss: 1.1184.  Training acc: 92.43%.
+[ Tue Aug 23 21:42:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:42:10 2022 ] Eval epoch: 85
+[ Tue Aug 23 21:42:50 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:42:50 2022 ] 	Top1: 46.42%
+[ Tue Aug 23 21:42:51 2022 ] 	Top5: 79.23%
+[ Tue Aug 23 21:42:51 2022 ] Training epoch: 86
+[ Tue Aug 23 21:43:27 2022 ] 	Training loss: 1.1123.  Training acc: 92.84%.
+[ Tue Aug 23 21:43:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:43:27 2022 ] Eval epoch: 86
+[ Tue Aug 23 21:44:06 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:44:06 2022 ] 	Top1: 47.86%
+[ Tue Aug 23 21:44:07 2022 ] 	Top5: 80.85%
+[ Tue Aug 23 21:44:07 2022 ] Training epoch: 87
+[ Tue Aug 23 21:44:43 2022 ] 	Training loss: 1.1028.  Training acc: 92.98%.
+[ Tue Aug 23 21:44:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:44:43 2022 ] Eval epoch: 87
+[ Tue Aug 23 21:45:21 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:45:22 2022 ] 	Top1: 49.28%
+[ Tue Aug 23 21:45:22 2022 ] 	Top5: 81.32%
+[ Tue Aug 23 21:45:23 2022 ] Training epoch: 88
+[ Tue Aug 23 21:45:58 2022 ] 	Training loss: 1.1022.  Training acc: 93.07%.
+[ Tue Aug 23 21:45:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:45:58 2022 ] Eval epoch: 88
+[ Tue Aug 23 21:46:36 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:46:36 2022 ] 	Top1: 47.42%
+[ Tue Aug 23 21:46:37 2022 ] 	Top5: 80.51%
+[ Tue Aug 23 21:46:37 2022 ] Training epoch: 89
+[ Tue Aug 23 21:47:13 2022 ] 	Training loss: 1.1014.  Training acc: 93.07%.
+[ Tue Aug 23 21:47:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:47:13 2022 ] Eval epoch: 89
+[ Tue Aug 23 21:47:51 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:47:51 2022 ] 	Top1: 42.54%
+[ Tue Aug 23 21:47:52 2022 ] 	Top5: 76.48%
+[ Tue Aug 23 21:47:52 2022 ] Training epoch: 90
+[ Tue Aug 23 21:48:28 2022 ] 	Training loss: 1.0856.  Training acc: 93.68%.
+[ Tue Aug 23 21:48:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:48:28 2022 ] Eval epoch: 90
+[ Tue Aug 23 21:49:06 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:49:07 2022 ] 	Top1: 46.70%
+[ Tue Aug 23 21:49:07 2022 ] 	Top5: 80.57%
+[ Tue Aug 23 21:49:07 2022 ] Training epoch: 91
+[ Tue Aug 23 21:49:43 2022 ] 	Training loss: 1.0007.  Training acc: 96.74%.
+[ Tue Aug 23 21:49:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:49:43 2022 ] Eval epoch: 91
+[ Tue Aug 23 21:50:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:50:21 2022 ] 	Top1: 55.08%
+[ Tue Aug 23 21:50:21 2022 ] 	Top5: 85.84%
+[ Tue Aug 23 21:50:22 2022 ] Training epoch: 92
+[ Tue Aug 23 21:50:58 2022 ] 	Training loss: 0.9615.  Training acc: 98.11%.
+[ Tue Aug 23 21:50:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:50:58 2022 ] Eval epoch: 92
+[ Tue Aug 23 21:51:36 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:51:37 2022 ] 	Top1: 54.69%
+[ Tue Aug 23 21:51:37 2022 ] 	Top5: 85.63%
+[ Tue Aug 23 21:51:38 2022 ] Training epoch: 93
+[ Tue Aug 23 21:52:13 2022 ] 	Training loss: 0.9450.  Training acc: 98.47%.
+[ Tue Aug 23 21:52:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:52:13 2022 ] Eval epoch: 93
+[ Tue Aug 23 21:52:52 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:52:53 2022 ] 	Top1: 54.66%
+[ Tue Aug 23 21:52:53 2022 ] 	Top5: 85.01%
+[ Tue Aug 23 21:52:54 2022 ] Training epoch: 94
+[ Tue Aug 23 21:53:29 2022 ] 	Training loss: 0.9364.  Training acc: 98.80%.
+[ Tue Aug 23 21:53:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:53:29 2022 ] Eval epoch: 94
+[ Tue Aug 23 21:54:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:54:08 2022 ] 	Top1: 55.39%
+[ Tue Aug 23 21:54:09 2022 ] 	Top5: 85.54%
+[ Tue Aug 23 21:54:09 2022 ] Training epoch: 95
+[ Tue Aug 23 21:54:44 2022 ] 	Training loss: 0.9334.  Training acc: 98.89%.
+[ Tue Aug 23 21:54:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:54:44 2022 ] Eval epoch: 95
+[ Tue Aug 23 21:55:24 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:55:24 2022 ] 	Top1: 54.29%
+[ Tue Aug 23 21:55:25 2022 ] 	Top5: 85.12%
+[ Tue Aug 23 21:55:25 2022 ] Training epoch: 96
+[ Tue Aug 23 21:56:00 2022 ] 	Training loss: 0.9266.  Training acc: 99.04%.
+[ Tue Aug 23 21:56:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:56:00 2022 ] Eval epoch: 96
+[ Tue Aug 23 21:56:39 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:56:40 2022 ] 	Top1: 54.59%
+[ Tue Aug 23 21:56:40 2022 ] 	Top5: 85.14%
+[ Tue Aug 23 21:56:41 2022 ] Training epoch: 97
+[ Tue Aug 23 21:57:17 2022 ] 	Training loss: 0.9252.  Training acc: 99.08%.
+[ Tue Aug 23 21:57:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:57:17 2022 ] Eval epoch: 97
+[ Tue Aug 23 21:57:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:57:56 2022 ] 	Top1: 55.03%
+[ Tue Aug 23 21:57:57 2022 ] 	Top5: 85.39%
+[ Tue Aug 23 21:57:57 2022 ] Training epoch: 98
+[ Tue Aug 23 21:58:33 2022 ] 	Training loss: 0.9225.  Training acc: 99.10%.
+[ Tue Aug 23 21:58:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:58:33 2022 ] Eval epoch: 98
+[ Tue Aug 23 21:59:11 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:59:11 2022 ] 	Top1: 55.22%
+[ Tue Aug 23 21:59:11 2022 ] 	Top5: 85.25%
+[ Tue Aug 23 21:59:12 2022 ] Training epoch: 99
+[ Tue Aug 23 21:59:48 2022 ] 	Training loss: 0.9202.  Training acc: 99.19%.
+[ Tue Aug 23 21:59:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:59:48 2022 ] Eval epoch: 99
+[ Tue Aug 23 22:00:26 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:00:27 2022 ] 	Top1: 54.73%
+[ Tue Aug 23 22:00:27 2022 ] 	Top5: 85.41%
+[ Tue Aug 23 22:00:27 2022 ] Training epoch: 100
+[ Tue Aug 23 22:01:04 2022 ] 	Training loss: 0.9156.  Training acc: 99.26%.
+[ Tue Aug 23 22:01:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:01:04 2022 ] Eval epoch: 100
+[ Tue Aug 23 22:01:41 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:01:42 2022 ] 	Top1: 55.39%
+[ Tue Aug 23 22:01:42 2022 ] 	Top5: 85.52%
+[ Tue Aug 23 22:01:42 2022 ] Training epoch: 101
+[ Tue Aug 23 22:02:18 2022 ] 	Training loss: 0.9117.  Training acc: 99.41%.
+[ Tue Aug 23 22:02:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:02:18 2022 ] Eval epoch: 101
+[ Tue Aug 23 22:02:58 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:02:58 2022 ] 	Top1: 55.42%
+[ Tue Aug 23 22:02:59 2022 ] 	Top5: 85.52%
+[ Tue Aug 23 22:02:59 2022 ] Training epoch: 102
+[ Tue Aug 23 22:03:35 2022 ] 	Training loss: 0.9119.  Training acc: 99.39%.
+[ Tue Aug 23 22:03:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:03:35 2022 ] Eval epoch: 102
+[ Tue Aug 23 22:04:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:04:14 2022 ] 	Top1: 55.09%
+[ Tue Aug 23 22:04:14 2022 ] 	Top5: 85.28%
+[ Tue Aug 23 22:04:15 2022 ] Training epoch: 103
+[ Tue Aug 23 22:04:50 2022 ] 	Training loss: 0.9117.  Training acc: 99.38%.
+[ Tue Aug 23 22:04:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:04:50 2022 ] Eval epoch: 103
+[ Tue Aug 23 22:05:28 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:05:29 2022 ] 	Top1: 55.04%
+[ Tue Aug 23 22:05:29 2022 ] 	Top5: 85.22%
+[ Tue Aug 23 22:05:30 2022 ] Training epoch: 104
+[ Tue Aug 23 22:06:05 2022 ] 	Training loss: 0.9104.  Training acc: 99.32%.
+[ Tue Aug 23 22:06:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:06:05 2022 ] Eval epoch: 104
+[ Tue Aug 23 22:06:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:06:44 2022 ] 	Top1: 55.15%
+[ Tue Aug 23 22:06:45 2022 ] 	Top5: 85.53%
+[ Tue Aug 23 22:06:45 2022 ] Training epoch: 105
+[ Tue Aug 23 22:07:21 2022 ] 	Training loss: 0.9117.  Training acc: 99.35%.
+[ Tue Aug 23 22:07:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:07:21 2022 ] Eval epoch: 105
+[ Tue Aug 23 22:07:59 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:07:59 2022 ] 	Top1: 55.39%
+[ Tue Aug 23 22:08:00 2022 ] 	Top5: 85.50%
+[ Tue Aug 23 22:08:00 2022 ] Training epoch: 106
+[ Tue Aug 23 22:08:35 2022 ] 	Training loss: 0.9091.  Training acc: 99.50%.
+[ Tue Aug 23 22:08:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:08:35 2022 ] Eval epoch: 106
+[ Tue Aug 23 22:09:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:09:14 2022 ] 	Top1: 55.03%
+[ Tue Aug 23 22:09:14 2022 ] 	Top5: 85.31%
+[ Tue Aug 23 22:09:15 2022 ] Training epoch: 107
+[ Tue Aug 23 22:09:51 2022 ] 	Training loss: 0.9129.  Training acc: 99.30%.
+[ Tue Aug 23 22:09:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:09:51 2022 ] Eval epoch: 107
+[ Tue Aug 23 22:10:30 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:10:31 2022 ] 	Top1: 55.06%
+[ Tue Aug 23 22:10:31 2022 ] 	Top5: 85.22%
+[ Tue Aug 23 22:10:32 2022 ] Training epoch: 108
+[ Tue Aug 23 22:11:08 2022 ] 	Training loss: 0.9080.  Training acc: 99.51%.
+[ Tue Aug 23 22:11:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:11:08 2022 ] Eval epoch: 108
+[ Tue Aug 23 22:11:46 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:11:46 2022 ] 	Top1: 55.59%
+[ Tue Aug 23 22:11:47 2022 ] 	Top5: 85.44%
+[ Tue Aug 23 22:11:48 2022 ] Training epoch: 109
+[ Tue Aug 23 22:12:23 2022 ] 	Training loss: 0.9094.  Training acc: 99.43%.
+[ Tue Aug 23 22:12:23 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:12:23 2022 ] Eval epoch: 109
+[ Tue Aug 23 22:13:02 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:13:02 2022 ] 	Top1: 55.38%
+[ Tue Aug 23 22:13:02 2022 ] 	Top5: 85.39%
+[ Tue Aug 23 22:13:03 2022 ] Training epoch: 110
+[ Tue Aug 23 22:13:39 2022 ] 	Training loss: 0.9108.  Training acc: 99.41%.
+[ Tue Aug 23 22:13:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:13:39 2022 ] Eval epoch: 110
+[ Tue Aug 23 22:14:18 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:14:18 2022 ] 	Top1: 54.79%
+[ Tue Aug 23 22:14:18 2022 ] 	Top5: 85.15%

ckpt/Others/InfoGCN/ntu_120_xsub_LT/jm/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d35cbe171a0887eb4cf724d0cb8f987854aef6ad3b69d7ccbb9802f9ab95f16
+size 26776168

ckpt/Others/InfoGCN/ntu_120_xsub_LT/jm/log.txt

@@ -0,0 +1,775 @@
+[ Tue Aug 23 19:53:00 2022 ] using warm up, epoch: 5
+[ Tue Aug 23 19:53:57 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 120, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu120/NTU120_CSub_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': True, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_120_xsub_LT/jm', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 8, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 256, 'test_batch_size': 256, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Tue Aug 23 19:53:57 2022 ] # Parameters: 1572227
+[ Tue Aug 23 19:53:57 2022 ] Training epoch: 1
+[ Tue Aug 23 19:54:37 2022 ] 	Training loss: 5.7040.  Training acc: 7.99%.
+[ Tue Aug 23 19:54:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 19:54:37 2022 ] Eval epoch: 1
+[ Tue Aug 23 19:55:17 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 19:55:18 2022 ] 	Top1: 1.19%
+[ Tue Aug 23 19:55:19 2022 ] 	Top5: 4.78%
+[ Tue Aug 23 19:55:19 2022 ] Training epoch: 2
+[ Tue Aug 23 19:55:57 2022 ] 	Training loss: 3.6095.  Training acc: 22.83%.
+[ Tue Aug 23 19:55:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 19:55:57 2022 ] Eval epoch: 2
+[ Tue Aug 23 19:56:38 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 19:56:39 2022 ] 	Top1: 5.04%
+[ Tue Aug 23 19:56:39 2022 ] 	Top5: 13.95%
+[ Tue Aug 23 19:56:40 2022 ] Training epoch: 3
+[ Tue Aug 23 19:57:19 2022 ] 	Training loss: 3.2305.  Training acc: 30.29%.
+[ Tue Aug 23 19:57:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 19:57:19 2022 ] Eval epoch: 3
+[ Tue Aug 23 19:58:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 19:58:09 2022 ] 	Top1: 6.07%
+[ Tue Aug 23 19:58:09 2022 ] 	Top5: 17.61%
+[ Tue Aug 23 19:58:10 2022 ] Training epoch: 4
+[ Tue Aug 23 19:58:47 2022 ] 	Training loss: 2.8982.  Training acc: 38.01%.
+[ Tue Aug 23 19:58:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 19:58:47 2022 ] Eval epoch: 4
+[ Tue Aug 23 19:59:26 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 19:59:27 2022 ] 	Top1: 8.46%
+[ Tue Aug 23 19:59:27 2022 ] 	Top5: 19.96%
+[ Tue Aug 23 19:59:28 2022 ] Training epoch: 5
+[ Tue Aug 23 20:00:06 2022 ] 	Training loss: 2.6595.  Training acc: 43.56%.
+[ Tue Aug 23 20:00:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:00:06 2022 ] Eval epoch: 5
+[ Tue Aug 23 20:00:47 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:00:48 2022 ] 	Top1: 7.55%
+[ Tue Aug 23 20:00:48 2022 ] 	Top5: 21.60%
+[ Tue Aug 23 20:00:48 2022 ] Training epoch: 6
+[ Tue Aug 23 20:01:25 2022 ] 	Training loss: 2.4210.  Training acc: 50.18%.
+[ Tue Aug 23 20:01:25 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:01:25 2022 ] Eval epoch: 6
+[ Tue Aug 23 20:02:11 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:02:11 2022 ] 	Top1: 10.81%
+[ Tue Aug 23 20:02:12 2022 ] 	Top5: 23.63%
+[ Tue Aug 23 20:02:12 2022 ] Training epoch: 7
+[ Tue Aug 23 20:02:49 2022 ] 	Training loss: 2.2781.  Training acc: 54.94%.
+[ Tue Aug 23 20:02:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:02:49 2022 ] Eval epoch: 7
+[ Tue Aug 23 20:03:29 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:03:29 2022 ] 	Top1: 7.56%
+[ Tue Aug 23 20:03:30 2022 ] 	Top5: 18.16%
+[ Tue Aug 23 20:03:30 2022 ] Training epoch: 8
+[ Tue Aug 23 20:04:13 2022 ] 	Training loss: 2.2022.  Training acc: 56.99%.
+[ Tue Aug 23 20:04:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:04:13 2022 ] Eval epoch: 8
+[ Tue Aug 23 20:04:53 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:04:53 2022 ] 	Top1: 11.89%
+[ Tue Aug 23 20:04:54 2022 ] 	Top5: 29.34%
+[ Tue Aug 23 20:04:55 2022 ] Training epoch: 9
+[ Tue Aug 23 20:05:31 2022 ] 	Training loss: 2.1506.  Training acc: 58.60%.
+[ Tue Aug 23 20:05:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:05:31 2022 ] Eval epoch: 9
+[ Tue Aug 23 20:06:12 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:06:12 2022 ] 	Top1: 8.70%
+[ Tue Aug 23 20:06:13 2022 ] 	Top5: 25.31%
+[ Tue Aug 23 20:06:13 2022 ] Training epoch: 10
+[ Tue Aug 23 20:06:56 2022 ] 	Training loss: 2.0800.  Training acc: 60.76%.
+[ Tue Aug 23 20:06:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:06:56 2022 ] Eval epoch: 10
+[ Tue Aug 23 20:07:36 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:07:36 2022 ] 	Top1: 15.28%
+[ Tue Aug 23 20:07:37 2022 ] 	Top5: 34.51%
+[ Tue Aug 23 20:07:37 2022 ] Training epoch: 11
+[ Tue Aug 23 20:08:13 2022 ] 	Training loss: 2.0341.  Training acc: 62.27%.
+[ Tue Aug 23 20:08:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:08:13 2022 ] Eval epoch: 11
+[ Tue Aug 23 20:08:54 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:08:55 2022 ] 	Top1: 14.35%
+[ Tue Aug 23 20:08:55 2022 ] 	Top5: 36.01%
+[ Tue Aug 23 20:08:55 2022 ] Training epoch: 12
+[ Tue Aug 23 20:09:32 2022 ] 	Training loss: 1.9837.  Training acc: 63.87%.
+[ Tue Aug 23 20:09:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:09:32 2022 ] Eval epoch: 12
+[ Tue Aug 23 20:10:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:10:13 2022 ] 	Top1: 13.30%
+[ Tue Aug 23 20:10:14 2022 ] 	Top5: 33.34%
+[ Tue Aug 23 20:10:14 2022 ] Training epoch: 13
+[ Tue Aug 23 20:10:51 2022 ] 	Training loss: 1.9379.  Training acc: 64.95%.
+[ Tue Aug 23 20:10:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:10:51 2022 ] Eval epoch: 13
+[ Tue Aug 23 20:11:33 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:11:34 2022 ] 	Top1: 13.45%
+[ Tue Aug 23 20:11:34 2022 ] 	Top5: 32.92%
+[ Tue Aug 23 20:11:34 2022 ] Training epoch: 14
+[ Tue Aug 23 20:12:11 2022 ] 	Training loss: 1.9110.  Training acc: 65.88%.
+[ Tue Aug 23 20:12:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:12:11 2022 ] Eval epoch: 14
+[ Tue Aug 23 20:12:52 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:12:52 2022 ] 	Top1: 10.63%
+[ Tue Aug 23 20:12:53 2022 ] 	Top5: 28.03%
+[ Tue Aug 23 20:12:53 2022 ] Training epoch: 15
+[ Tue Aug 23 20:13:29 2022 ] 	Training loss: 1.8805.  Training acc: 67.10%.
+[ Tue Aug 23 20:13:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:13:30 2022 ] Eval epoch: 15
+[ Tue Aug 23 20:14:11 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:14:11 2022 ] 	Top1: 14.24%
+[ Tue Aug 23 20:14:12 2022 ] 	Top5: 34.11%
+[ Tue Aug 23 20:14:12 2022 ] Training epoch: 16
+[ Tue Aug 23 20:14:49 2022 ] 	Training loss: 1.8470.  Training acc: 68.18%.
+[ Tue Aug 23 20:14:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:14:49 2022 ] Eval epoch: 16
+[ Tue Aug 23 20:15:31 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:15:32 2022 ] 	Top1: 14.30%
+[ Tue Aug 23 20:15:32 2022 ] 	Top5: 34.62%
+[ Tue Aug 23 20:15:33 2022 ] Training epoch: 17
+[ Tue Aug 23 20:16:09 2022 ] 	Training loss: 1.8132.  Training acc: 69.47%.
+[ Tue Aug 23 20:16:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:16:09 2022 ] Eval epoch: 17
+[ Tue Aug 23 20:16:52 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:16:52 2022 ] 	Top1: 21.49%
+[ Tue Aug 23 20:16:52 2022 ] 	Top5: 48.50%
+[ Tue Aug 23 20:16:53 2022 ] Training epoch: 18
+[ Tue Aug 23 20:17:30 2022 ] 	Training loss: 1.7856.  Training acc: 70.08%.
+[ Tue Aug 23 20:17:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:17:30 2022 ] Eval epoch: 18
+[ Tue Aug 23 20:18:12 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:18:13 2022 ] 	Top1: 18.23%
+[ Tue Aug 23 20:18:13 2022 ] 	Top5: 42.93%
+[ Tue Aug 23 20:18:14 2022 ] Training epoch: 19
+[ Tue Aug 23 20:18:50 2022 ] 	Training loss: 1.7532.  Training acc: 71.20%.
+[ Tue Aug 23 20:18:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:18:50 2022 ] Eval epoch: 19
+[ Tue Aug 23 20:19:31 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:19:32 2022 ] 	Top1: 18.61%
+[ Tue Aug 23 20:19:32 2022 ] 	Top5: 39.65%
+[ Tue Aug 23 20:19:33 2022 ] Training epoch: 20
+[ Tue Aug 23 20:20:08 2022 ] 	Training loss: 1.7407.  Training acc: 71.60%.
+[ Tue Aug 23 20:20:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:20:08 2022 ] Eval epoch: 20
+[ Tue Aug 23 20:21:01 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:21:02 2022 ] 	Top1: 15.89%
+[ Tue Aug 23 20:21:02 2022 ] 	Top5: 38.75%
+[ Tue Aug 23 20:21:03 2022 ] Training epoch: 21
+[ Tue Aug 23 20:21:38 2022 ] 	Training loss: 1.7214.  Training acc: 72.04%.
+[ Tue Aug 23 20:21:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:21:38 2022 ] Eval epoch: 21
+[ Tue Aug 23 20:22:19 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:22:20 2022 ] 	Top1: 18.68%
+[ Tue Aug 23 20:22:20 2022 ] 	Top5: 42.18%
+[ Tue Aug 23 20:22:20 2022 ] Training epoch: 22
+[ Tue Aug 23 20:22:57 2022 ] 	Training loss: 1.6875.  Training acc: 73.37%.
+[ Tue Aug 23 20:22:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:22:57 2022 ] Eval epoch: 22
+[ Tue Aug 23 20:23:35 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:23:36 2022 ] 	Top1: 25.86%
+[ Tue Aug 23 20:23:36 2022 ] 	Top5: 56.41%
+[ Tue Aug 23 20:23:37 2022 ] Training epoch: 23
+[ Tue Aug 23 20:24:13 2022 ] 	Training loss: 1.6703.  Training acc: 73.78%.
+[ Tue Aug 23 20:24:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:24:13 2022 ] Eval epoch: 23
+[ Tue Aug 23 20:24:51 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:24:52 2022 ] 	Top1: 24.58%
+[ Tue Aug 23 20:24:52 2022 ] 	Top5: 48.95%
+[ Tue Aug 23 20:24:52 2022 ] Training epoch: 24
+[ Tue Aug 23 20:25:28 2022 ] 	Training loss: 1.6556.  Training acc: 74.24%.
+[ Tue Aug 23 20:25:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:25:28 2022 ] Eval epoch: 24
+[ Tue Aug 23 20:26:07 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:26:07 2022 ] 	Top1: 27.69%
+[ Tue Aug 23 20:26:08 2022 ] 	Top5: 58.02%
+[ Tue Aug 23 20:26:08 2022 ] Training epoch: 25
+[ Tue Aug 23 20:26:44 2022 ] 	Training loss: 1.6443.  Training acc: 75.14%.
+[ Tue Aug 23 20:26:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:26:44 2022 ] Eval epoch: 25
+[ Tue Aug 23 20:27:22 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:27:23 2022 ] 	Top1: 25.48%
+[ Tue Aug 23 20:27:23 2022 ] 	Top5: 51.21%
+[ Tue Aug 23 20:27:24 2022 ] Training epoch: 26
+[ Tue Aug 23 20:27:59 2022 ] 	Training loss: 1.6151.  Training acc: 75.95%.
+[ Tue Aug 23 20:27:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:27:59 2022 ] Eval epoch: 26
+[ Tue Aug 23 20:28:37 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:28:37 2022 ] 	Top1: 28.13%
+[ Tue Aug 23 20:28:38 2022 ] 	Top5: 58.50%
+[ Tue Aug 23 20:28:39 2022 ] Training epoch: 27
+[ Tue Aug 23 20:29:14 2022 ] 	Training loss: 1.5998.  Training acc: 76.47%.
+[ Tue Aug 23 20:29:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:29:14 2022 ] Eval epoch: 27
+[ Tue Aug 23 20:29:52 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:29:52 2022 ] 	Top1: 28.42%
+[ Tue Aug 23 20:29:53 2022 ] 	Top5: 59.66%
+[ Tue Aug 23 20:29:53 2022 ] Training epoch: 28
+[ Tue Aug 23 20:30:29 2022 ] 	Training loss: 1.5835.  Training acc: 76.88%.
+[ Tue Aug 23 20:30:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:30:29 2022 ] Eval epoch: 28
+[ Tue Aug 23 20:31:06 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:31:06 2022 ] 	Top1: 26.43%
+[ Tue Aug 23 20:31:07 2022 ] 	Top5: 55.46%
+[ Tue Aug 23 20:31:07 2022 ] Training epoch: 29
+[ Tue Aug 23 20:31:43 2022 ] 	Training loss: 1.5663.  Training acc: 77.16%.
+[ Tue Aug 23 20:31:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:31:43 2022 ] Eval epoch: 29
+[ Tue Aug 23 20:32:21 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:32:22 2022 ] 	Top1: 29.70%
+[ Tue Aug 23 20:32:22 2022 ] 	Top5: 61.68%
+[ Tue Aug 23 20:32:23 2022 ] Training epoch: 30
+[ Tue Aug 23 20:32:58 2022 ] 	Training loss: 1.5421.  Training acc: 78.58%.
+[ Tue Aug 23 20:32:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:32:58 2022 ] Eval epoch: 30
+[ Tue Aug 23 20:33:37 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:33:38 2022 ] 	Top1: 25.34%
+[ Tue Aug 23 20:33:38 2022 ] 	Top5: 51.96%
+[ Tue Aug 23 20:33:39 2022 ] Training epoch: 31
+[ Tue Aug 23 20:34:16 2022 ] 	Training loss: 1.5268.  Training acc: 79.10%.
+[ Tue Aug 23 20:34:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:34:16 2022 ] Eval epoch: 31
+[ Tue Aug 23 20:34:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:34:56 2022 ] 	Top1: 32.75%
+[ Tue Aug 23 20:34:56 2022 ] 	Top5: 64.48%
+[ Tue Aug 23 20:34:57 2022 ] Training epoch: 32
+[ Tue Aug 23 20:35:33 2022 ] 	Training loss: 1.5116.  Training acc: 79.43%.
+[ Tue Aug 23 20:35:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:35:33 2022 ] Eval epoch: 32
+[ Tue Aug 23 20:36:23 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:36:24 2022 ] 	Top1: 29.27%
+[ Tue Aug 23 20:36:24 2022 ] 	Top5: 60.00%
+[ Tue Aug 23 20:36:24 2022 ] Training epoch: 33
+[ Tue Aug 23 20:37:00 2022 ] 	Training loss: 1.5014.  Training acc: 79.71%.
+[ Tue Aug 23 20:37:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:37:00 2022 ] Eval epoch: 33
+[ Tue Aug 23 20:37:39 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:37:40 2022 ] 	Top1: 29.44%
+[ Tue Aug 23 20:37:40 2022 ] 	Top5: 58.23%
+[ Tue Aug 23 20:37:41 2022 ] Training epoch: 34
+[ Tue Aug 23 20:38:16 2022 ] 	Training loss: 1.4876.  Training acc: 80.33%.
+[ Tue Aug 23 20:38:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:38:16 2022 ] Eval epoch: 34
+[ Tue Aug 23 20:38:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:38:55 2022 ] 	Top1: 31.85%
+[ Tue Aug 23 20:38:55 2022 ] 	Top5: 61.25%
+[ Tue Aug 23 20:38:56 2022 ] Training epoch: 35
+[ Tue Aug 23 20:39:33 2022 ] 	Training loss: 1.4721.  Training acc: 80.66%.
+[ Tue Aug 23 20:39:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:39:33 2022 ] Eval epoch: 35
+[ Tue Aug 23 20:40:16 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:40:17 2022 ] 	Top1: 35.32%
+[ Tue Aug 23 20:40:17 2022 ] 	Top5: 66.63%
+[ Tue Aug 23 20:40:18 2022 ] Training epoch: 36
+[ Tue Aug 23 20:40:53 2022 ] 	Training loss: 1.4543.  Training acc: 81.33%.
+[ Tue Aug 23 20:40:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:40:53 2022 ] Eval epoch: 36
+[ Tue Aug 23 20:41:36 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:41:36 2022 ] 	Top1: 35.54%
+[ Tue Aug 23 20:41:37 2022 ] 	Top5: 67.85%
+[ Tue Aug 23 20:41:38 2022 ] Training epoch: 37
+[ Tue Aug 23 20:42:17 2022 ] 	Training loss: 1.4440.  Training acc: 81.59%.
+[ Tue Aug 23 20:42:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:42:17 2022 ] Eval epoch: 37
+[ Tue Aug 23 20:43:00 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:43:00 2022 ] 	Top1: 29.25%
+[ Tue Aug 23 20:43:00 2022 ] 	Top5: 57.01%
+[ Tue Aug 23 20:43:01 2022 ] Training epoch: 38
+[ Tue Aug 23 20:43:42 2022 ] 	Training loss: 1.4348.  Training acc: 81.93%.
+[ Tue Aug 23 20:43:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:43:42 2022 ] Eval epoch: 38
+[ Tue Aug 23 20:44:20 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:44:20 2022 ] 	Top1: 32.18%
+[ Tue Aug 23 20:44:21 2022 ] 	Top5: 62.28%
+[ Tue Aug 23 20:44:21 2022 ] Training epoch: 39
+[ Tue Aug 23 20:44:57 2022 ] 	Training loss: 1.4141.  Training acc: 83.06%.
+[ Tue Aug 23 20:44:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:44:57 2022 ] Eval epoch: 39
+[ Tue Aug 23 20:45:50 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:45:50 2022 ] 	Top1: 33.41%
+[ Tue Aug 23 20:45:50 2022 ] 	Top5: 65.66%
+[ Tue Aug 23 20:45:51 2022 ] Training epoch: 40
+[ Tue Aug 23 20:46:30 2022 ] 	Training loss: 1.4051.  Training acc: 83.27%.
+[ Tue Aug 23 20:46:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:46:30 2022 ] Eval epoch: 40
+[ Tue Aug 23 20:47:18 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:47:18 2022 ] 	Top1: 34.46%
+[ Tue Aug 23 20:47:19 2022 ] 	Top5: 65.89%
+[ Tue Aug 23 20:47:19 2022 ] Training epoch: 41
+[ Tue Aug 23 20:47:58 2022 ] 	Training loss: 1.4051.  Training acc: 83.26%.
+[ Tue Aug 23 20:47:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:47:58 2022 ] Eval epoch: 41
+[ Tue Aug 23 20:48:36 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:48:36 2022 ] 	Top1: 35.28%
+[ Tue Aug 23 20:48:37 2022 ] 	Top5: 65.66%
+[ Tue Aug 23 20:48:37 2022 ] Training epoch: 42
+[ Tue Aug 23 20:49:13 2022 ] 	Training loss: 1.3897.  Training acc: 83.71%.
+[ Tue Aug 23 20:49:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:49:13 2022 ] Eval epoch: 42
+[ Tue Aug 23 20:49:51 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:49:51 2022 ] 	Top1: 35.12%
+[ Tue Aug 23 20:49:51 2022 ] 	Top5: 66.74%
+[ Tue Aug 23 20:49:52 2022 ] Training epoch: 43
+[ Tue Aug 23 20:50:28 2022 ] 	Training loss: 1.3754.  Training acc: 84.07%.
+[ Tue Aug 23 20:50:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:50:28 2022 ] Eval epoch: 43
+[ Tue Aug 23 20:51:06 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:51:06 2022 ] 	Top1: 39.35%
+[ Tue Aug 23 20:51:07 2022 ] 	Top5: 71.35%
+[ Tue Aug 23 20:51:07 2022 ] Training epoch: 44
+[ Tue Aug 23 20:51:43 2022 ] 	Training loss: 1.3629.  Training acc: 84.21%.
+[ Tue Aug 23 20:51:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:51:43 2022 ] Eval epoch: 44
+[ Tue Aug 23 20:52:21 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:52:22 2022 ] 	Top1: 38.37%
+[ Tue Aug 23 20:52:22 2022 ] 	Top5: 73.22%
+[ Tue Aug 23 20:52:23 2022 ] Training epoch: 45
+[ Tue Aug 23 20:52:59 2022 ] 	Training loss: 1.3515.  Training acc: 84.72%.
+[ Tue Aug 23 20:52:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:52:59 2022 ] Eval epoch: 45
+[ Tue Aug 23 20:53:37 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:53:37 2022 ] 	Top1: 35.12%
+[ Tue Aug 23 20:53:38 2022 ] 	Top5: 67.87%
+[ Tue Aug 23 20:53:38 2022 ] Training epoch: 46
+[ Tue Aug 23 20:54:14 2022 ] 	Training loss: 1.3448.  Training acc: 85.23%.
+[ Tue Aug 23 20:54:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:54:14 2022 ] Eval epoch: 46
+[ Tue Aug 23 20:54:53 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:54:54 2022 ] 	Top1: 37.80%
+[ Tue Aug 23 20:54:54 2022 ] 	Top5: 70.72%
+[ Tue Aug 23 20:54:55 2022 ] Training epoch: 47
+[ Tue Aug 23 20:55:30 2022 ] 	Training loss: 1.3375.  Training acc: 85.36%.
+[ Tue Aug 23 20:55:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:55:30 2022 ] Eval epoch: 47
+[ Tue Aug 23 20:56:08 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:56:08 2022 ] 	Top1: 39.74%
+[ Tue Aug 23 20:56:08 2022 ] 	Top5: 73.20%
+[ Tue Aug 23 20:56:09 2022 ] Training epoch: 48
+[ Tue Aug 23 20:56:46 2022 ] 	Training loss: 1.3356.  Training acc: 85.48%.
+[ Tue Aug 23 20:56:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:56:46 2022 ] Eval epoch: 48
+[ Tue Aug 23 20:57:24 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:57:24 2022 ] 	Top1: 42.48%
+[ Tue Aug 23 20:57:24 2022 ] 	Top5: 74.53%
+[ Tue Aug 23 20:57:25 2022 ] Training epoch: 49
+[ Tue Aug 23 20:58:00 2022 ] 	Training loss: 1.3231.  Training acc: 85.96%.
+[ Tue Aug 23 20:58:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:58:00 2022 ] Eval epoch: 49
+[ Tue Aug 23 20:58:39 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:58:39 2022 ] 	Top1: 34.03%
+[ Tue Aug 23 20:58:39 2022 ] 	Top5: 66.16%
+[ Tue Aug 23 20:58:40 2022 ] Training epoch: 50
+[ Tue Aug 23 20:59:16 2022 ] 	Training loss: 1.3108.  Training acc: 85.96%.
+[ Tue Aug 23 20:59:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 20:59:16 2022 ] Eval epoch: 50
+[ Tue Aug 23 20:59:55 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 20:59:56 2022 ] 	Top1: 39.10%
+[ Tue Aug 23 20:59:56 2022 ] 	Top5: 73.06%
+[ Tue Aug 23 20:59:56 2022 ] Training epoch: 51
+[ Tue Aug 23 21:00:33 2022 ] 	Training loss: 1.2997.  Training acc: 86.65%.
+[ Tue Aug 23 21:00:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:00:33 2022 ] Eval epoch: 51
+[ Tue Aug 23 21:01:11 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:01:12 2022 ] 	Top1: 40.96%
+[ Tue Aug 23 21:01:12 2022 ] 	Top5: 74.34%
+[ Tue Aug 23 21:01:13 2022 ] Training epoch: 52
+[ Tue Aug 23 21:01:49 2022 ] 	Training loss: 1.2949.  Training acc: 86.84%.
+[ Tue Aug 23 21:01:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:01:49 2022 ] Eval epoch: 52
+[ Tue Aug 23 21:02:30 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:02:30 2022 ] 	Top1: 41.75%
+[ Tue Aug 23 21:02:31 2022 ] 	Top5: 76.23%
+[ Tue Aug 23 21:02:31 2022 ] Training epoch: 53
+[ Tue Aug 23 21:03:12 2022 ] 	Training loss: 1.2892.  Training acc: 86.94%.
+[ Tue Aug 23 21:03:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:03:12 2022 ] Eval epoch: 53
+[ Tue Aug 23 21:03:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:03:59 2022 ] 	Top1: 37.84%
+[ Tue Aug 23 21:03:59 2022 ] 	Top5: 72.42%
+[ Tue Aug 23 21:04:01 2022 ] Training epoch: 54
+[ Tue Aug 23 21:04:39 2022 ] 	Training loss: 1.2785.  Training acc: 87.06%.
+[ Tue Aug 23 21:04:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:04:39 2022 ] Eval epoch: 54
+[ Tue Aug 23 21:05:17 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:05:18 2022 ] 	Top1: 46.91%
+[ Tue Aug 23 21:05:18 2022 ] 	Top5: 80.82%
+[ Tue Aug 23 21:05:19 2022 ] Training epoch: 55
+[ Tue Aug 23 21:05:55 2022 ] 	Training loss: 1.2776.  Training acc: 87.15%.
+[ Tue Aug 23 21:05:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:05:55 2022 ] Eval epoch: 55
+[ Tue Aug 23 21:06:33 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:06:34 2022 ] 	Top1: 34.10%
+[ Tue Aug 23 21:06:34 2022 ] 	Top5: 64.17%
+[ Tue Aug 23 21:06:35 2022 ] Training epoch: 56
+[ Tue Aug 23 21:07:11 2022 ] 	Training loss: 1.2611.  Training acc: 87.80%.
+[ Tue Aug 23 21:07:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:07:11 2022 ] Eval epoch: 56
+[ Tue Aug 23 21:07:51 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:07:51 2022 ] 	Top1: 37.38%
+[ Tue Aug 23 21:07:52 2022 ] 	Top5: 71.95%
+[ Tue Aug 23 21:07:52 2022 ] Training epoch: 57
+[ Tue Aug 23 21:08:30 2022 ] 	Training loss: 1.2505.  Training acc: 88.14%.
+[ Tue Aug 23 21:08:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:08:30 2022 ] Eval epoch: 57
+[ Tue Aug 23 21:09:10 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:09:11 2022 ] 	Top1: 41.32%
+[ Tue Aug 23 21:09:11 2022 ] 	Top5: 73.55%
+[ Tue Aug 23 21:09:12 2022 ] Training epoch: 58
+[ Tue Aug 23 21:09:49 2022 ] 	Training loss: 1.2437.  Training acc: 88.53%.
+[ Tue Aug 23 21:09:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:09:49 2022 ] Eval epoch: 58
+[ Tue Aug 23 21:10:29 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:10:29 2022 ] 	Top1: 39.09%
+[ Tue Aug 23 21:10:30 2022 ] 	Top5: 71.76%
+[ Tue Aug 23 21:10:30 2022 ] Training epoch: 59
+[ Tue Aug 23 21:11:07 2022 ] 	Training loss: 1.2508.  Training acc: 88.20%.
+[ Tue Aug 23 21:11:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:11:07 2022 ] Eval epoch: 59
+[ Tue Aug 23 21:11:48 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:11:49 2022 ] 	Top1: 36.87%
+[ Tue Aug 23 21:11:49 2022 ] 	Top5: 69.07%
+[ Tue Aug 23 21:11:50 2022 ] Training epoch: 60
+[ Tue Aug 23 21:12:27 2022 ] 	Training loss: 1.2304.  Training acc: 89.04%.
+[ Tue Aug 23 21:12:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:12:27 2022 ] Eval epoch: 60
+[ Tue Aug 23 21:13:05 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:13:06 2022 ] 	Top1: 39.01%
+[ Tue Aug 23 21:13:06 2022 ] 	Top5: 71.97%
+[ Tue Aug 23 21:13:07 2022 ] Training epoch: 61
+[ Tue Aug 23 21:13:43 2022 ] 	Training loss: 1.2307.  Training acc: 89.02%.
+[ Tue Aug 23 21:13:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:13:43 2022 ] Eval epoch: 61
+[ Tue Aug 23 21:14:21 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:14:22 2022 ] 	Top1: 38.40%
+[ Tue Aug 23 21:14:22 2022 ] 	Top5: 71.07%
+[ Tue Aug 23 21:14:23 2022 ] Training epoch: 62
+[ Tue Aug 23 21:14:59 2022 ] 	Training loss: 1.2256.  Training acc: 89.09%.
+[ Tue Aug 23 21:14:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:14:59 2022 ] Eval epoch: 62
+[ Tue Aug 23 21:15:37 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:15:38 2022 ] 	Top1: 47.88%
+[ Tue Aug 23 21:15:38 2022 ] 	Top5: 79.03%
+[ Tue Aug 23 21:15:39 2022 ] Training epoch: 63
+[ Tue Aug 23 21:16:15 2022 ] 	Training loss: 1.2191.  Training acc: 89.52%.
+[ Tue Aug 23 21:16:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:16:15 2022 ] Eval epoch: 63
+[ Tue Aug 23 21:16:53 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:16:53 2022 ] 	Top1: 45.32%
+[ Tue Aug 23 21:16:54 2022 ] 	Top5: 79.15%
+[ Tue Aug 23 21:16:54 2022 ] Training epoch: 64
+[ Tue Aug 23 21:17:30 2022 ] 	Training loss: 1.2082.  Training acc: 89.80%.
+[ Tue Aug 23 21:17:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:17:30 2022 ] Eval epoch: 64
+[ Tue Aug 23 21:18:09 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:18:09 2022 ] 	Top1: 41.09%
+[ Tue Aug 23 21:18:10 2022 ] 	Top5: 76.01%
+[ Tue Aug 23 21:18:10 2022 ] Training epoch: 65
+[ Tue Aug 23 21:18:46 2022 ] 	Training loss: 1.2025.  Training acc: 89.90%.
+[ Tue Aug 23 21:18:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:18:46 2022 ] Eval epoch: 65
+[ Tue Aug 23 21:19:26 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:19:26 2022 ] 	Top1: 40.59%
+[ Tue Aug 23 21:19:26 2022 ] 	Top5: 73.46%
+[ Tue Aug 23 21:19:27 2022 ] Training epoch: 66
+[ Tue Aug 23 21:20:03 2022 ] 	Training loss: 1.2035.  Training acc: 90.04%.
+[ Tue Aug 23 21:20:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:20:03 2022 ] Eval epoch: 66
+[ Tue Aug 23 21:20:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:20:43 2022 ] 	Top1: 41.44%
+[ Tue Aug 23 21:20:44 2022 ] 	Top5: 72.34%
+[ Tue Aug 23 21:20:44 2022 ] Training epoch: 67
+[ Tue Aug 23 21:21:21 2022 ] 	Training loss: 1.2000.  Training acc: 90.10%.
+[ Tue Aug 23 21:21:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:21:21 2022 ] Eval epoch: 67
+[ Tue Aug 23 21:22:01 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:22:01 2022 ] 	Top1: 42.41%
+[ Tue Aug 23 21:22:02 2022 ] 	Top5: 76.49%
+[ Tue Aug 23 21:22:02 2022 ] Training epoch: 68
+[ Tue Aug 23 21:22:38 2022 ] 	Training loss: 1.1926.  Training acc: 90.38%.
+[ Tue Aug 23 21:22:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:22:38 2022 ] Eval epoch: 68
+[ Tue Aug 23 21:23:18 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:23:19 2022 ] 	Top1: 46.57%
+[ Tue Aug 23 21:23:19 2022 ] 	Top5: 78.96%
+[ Tue Aug 23 21:23:20 2022 ] Training epoch: 69
+[ Tue Aug 23 21:23:56 2022 ] 	Training loss: 1.1873.  Training acc: 90.21%.
+[ Tue Aug 23 21:23:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:23:56 2022 ] Eval epoch: 69
+[ Tue Aug 23 21:24:35 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:24:35 2022 ] 	Top1: 45.67%
+[ Tue Aug 23 21:24:36 2022 ] 	Top5: 78.52%
+[ Tue Aug 23 21:24:36 2022 ] Training epoch: 70
+[ Tue Aug 23 21:25:12 2022 ] 	Training loss: 1.1715.  Training acc: 90.91%.
+[ Tue Aug 23 21:25:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:25:12 2022 ] Eval epoch: 70
+[ Tue Aug 23 21:25:50 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:25:51 2022 ] 	Top1: 38.79%
+[ Tue Aug 23 21:25:51 2022 ] 	Top5: 69.88%
+[ Tue Aug 23 21:25:51 2022 ] Training epoch: 71
+[ Tue Aug 23 21:26:27 2022 ] 	Training loss: 1.1609.  Training acc: 91.31%.
+[ Tue Aug 23 21:26:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:26:27 2022 ] Eval epoch: 71
+[ Tue Aug 23 21:27:05 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:27:06 2022 ] 	Top1: 44.48%
+[ Tue Aug 23 21:27:06 2022 ] 	Top5: 77.15%
+[ Tue Aug 23 21:27:07 2022 ] Training epoch: 72
+[ Tue Aug 23 21:27:43 2022 ] 	Training loss: 1.1484.  Training acc: 91.84%.
+[ Tue Aug 23 21:27:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:27:43 2022 ] Eval epoch: 72
+[ Tue Aug 23 21:28:21 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:28:21 2022 ] 	Top1: 42.55%
+[ Tue Aug 23 21:28:22 2022 ] 	Top5: 75.43%
+[ Tue Aug 23 21:28:22 2022 ] Training epoch: 73
+[ Tue Aug 23 21:28:58 2022 ] 	Training loss: 1.1429.  Training acc: 92.17%.
+[ Tue Aug 23 21:28:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:28:58 2022 ] Eval epoch: 73
+[ Tue Aug 23 21:29:36 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:29:37 2022 ] 	Top1: 43.82%
+[ Tue Aug 23 21:29:37 2022 ] 	Top5: 77.36%
+[ Tue Aug 23 21:29:37 2022 ] Training epoch: 74
+[ Tue Aug 23 21:30:14 2022 ] 	Training loss: 1.1502.  Training acc: 91.80%.
+[ Tue Aug 23 21:30:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:30:14 2022 ] Eval epoch: 74
+[ Tue Aug 23 21:30:53 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:30:54 2022 ] 	Top1: 45.94%
+[ Tue Aug 23 21:30:54 2022 ] 	Top5: 78.88%
+[ Tue Aug 23 21:30:55 2022 ] Training epoch: 75
+[ Tue Aug 23 21:31:31 2022 ] 	Training loss: 1.1397.  Training acc: 92.10%.
+[ Tue Aug 23 21:31:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:31:31 2022 ] Eval epoch: 75
+[ Tue Aug 23 21:32:09 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:32:10 2022 ] 	Top1: 45.70%
+[ Tue Aug 23 21:32:10 2022 ] 	Top5: 78.94%
+[ Tue Aug 23 21:32:10 2022 ] Training epoch: 76
+[ Tue Aug 23 21:32:46 2022 ] 	Training loss: 1.1397.  Training acc: 92.20%.
+[ Tue Aug 23 21:32:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:32:46 2022 ] Eval epoch: 76
+[ Tue Aug 23 21:33:26 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:33:27 2022 ] 	Top1: 44.31%
+[ Tue Aug 23 21:33:27 2022 ] 	Top5: 75.60%
+[ Tue Aug 23 21:33:28 2022 ] Training epoch: 77
+[ Tue Aug 23 21:34:05 2022 ] 	Training loss: 1.1365.  Training acc: 92.19%.
+[ Tue Aug 23 21:34:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:34:05 2022 ] Eval epoch: 77
+[ Tue Aug 23 21:34:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:34:44 2022 ] 	Top1: 39.50%
+[ Tue Aug 23 21:34:44 2022 ] 	Top5: 72.97%
+[ Tue Aug 23 21:34:45 2022 ] Training epoch: 78
+[ Tue Aug 23 21:35:20 2022 ] 	Training loss: 1.1424.  Training acc: 92.01%.
+[ Tue Aug 23 21:35:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:35:20 2022 ] Eval epoch: 78
+[ Tue Aug 23 21:35:59 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:35:59 2022 ] 	Top1: 45.46%
+[ Tue Aug 23 21:35:59 2022 ] 	Top5: 78.89%
+[ Tue Aug 23 21:36:00 2022 ] Training epoch: 79
+[ Tue Aug 23 21:36:35 2022 ] 	Training loss: 1.1261.  Training acc: 92.65%.
+[ Tue Aug 23 21:36:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:36:35 2022 ] Eval epoch: 79
+[ Tue Aug 23 21:37:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:37:13 2022 ] 	Top1: 41.68%
+[ Tue Aug 23 21:37:14 2022 ] 	Top5: 74.00%
+[ Tue Aug 23 21:37:14 2022 ] Training epoch: 80
+[ Tue Aug 23 21:37:50 2022 ] 	Training loss: 1.1208.  Training acc: 93.01%.
+[ Tue Aug 23 21:37:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:37:50 2022 ] Eval epoch: 80
+[ Tue Aug 23 21:38:28 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:38:29 2022 ] 	Top1: 42.32%
+[ Tue Aug 23 21:38:29 2022 ] 	Top5: 73.35%
+[ Tue Aug 23 21:38:30 2022 ] Training epoch: 81
+[ Tue Aug 23 21:39:05 2022 ] 	Training loss: 1.1215.  Training acc: 92.87%.
+[ Tue Aug 23 21:39:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:39:05 2022 ] Eval epoch: 81
+[ Tue Aug 23 21:39:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:39:43 2022 ] 	Top1: 45.01%
+[ Tue Aug 23 21:39:44 2022 ] 	Top5: 77.84%
+[ Tue Aug 23 21:39:44 2022 ] Training epoch: 82
+[ Tue Aug 23 21:40:20 2022 ] 	Training loss: 1.1148.  Training acc: 92.94%.
+[ Tue Aug 23 21:40:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:40:20 2022 ] Eval epoch: 82
+[ Tue Aug 23 21:40:58 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:40:58 2022 ] 	Top1: 40.01%
+[ Tue Aug 23 21:40:59 2022 ] 	Top5: 71.50%
+[ Tue Aug 23 21:40:59 2022 ] Training epoch: 83
+[ Tue Aug 23 21:41:35 2022 ] 	Training loss: 1.1005.  Training acc: 93.35%.
+[ Tue Aug 23 21:41:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:41:35 2022 ] Eval epoch: 83
+[ Tue Aug 23 21:42:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:42:13 2022 ] 	Top1: 46.36%
+[ Tue Aug 23 21:42:13 2022 ] 	Top5: 80.41%
+[ Tue Aug 23 21:42:14 2022 ] Training epoch: 84
+[ Tue Aug 23 21:42:51 2022 ] 	Training loss: 1.1114.  Training acc: 93.14%.
+[ Tue Aug 23 21:42:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:42:51 2022 ] Eval epoch: 84
+[ Tue Aug 23 21:43:29 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:43:30 2022 ] 	Top1: 46.33%
+[ Tue Aug 23 21:43:30 2022 ] 	Top5: 77.00%
+[ Tue Aug 23 21:43:30 2022 ] Training epoch: 85
+[ Tue Aug 23 21:44:07 2022 ] 	Training loss: 1.1018.  Training acc: 93.29%.
+[ Tue Aug 23 21:44:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:44:07 2022 ] Eval epoch: 85
+[ Tue Aug 23 21:44:44 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:44:45 2022 ] 	Top1: 43.74%
+[ Tue Aug 23 21:44:45 2022 ] 	Top5: 76.92%
+[ Tue Aug 23 21:44:46 2022 ] Training epoch: 86
+[ Tue Aug 23 21:45:21 2022 ] 	Training loss: 1.0951.  Training acc: 93.78%.
+[ Tue Aug 23 21:45:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:45:21 2022 ] Eval epoch: 86
+[ Tue Aug 23 21:45:58 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:45:59 2022 ] 	Top1: 44.01%
+[ Tue Aug 23 21:45:59 2022 ] 	Top5: 75.72%
+[ Tue Aug 23 21:46:00 2022 ] Training epoch: 87
+[ Tue Aug 23 21:46:35 2022 ] 	Training loss: 1.0910.  Training acc: 93.84%.
+[ Tue Aug 23 21:46:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:46:35 2022 ] Eval epoch: 87
+[ Tue Aug 23 21:47:14 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:47:14 2022 ] 	Top1: 40.38%
+[ Tue Aug 23 21:47:15 2022 ] 	Top5: 72.08%
+[ Tue Aug 23 21:47:15 2022 ] Training epoch: 88
+[ Tue Aug 23 21:47:51 2022 ] 	Training loss: 1.0859.  Training acc: 93.76%.
+[ Tue Aug 23 21:47:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:47:51 2022 ] Eval epoch: 88
+[ Tue Aug 23 21:48:29 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:48:29 2022 ] 	Top1: 42.04%
+[ Tue Aug 23 21:48:30 2022 ] 	Top5: 75.83%
+[ Tue Aug 23 21:48:30 2022 ] Training epoch: 89
+[ Tue Aug 23 21:49:06 2022 ] 	Training loss: 1.0783.  Training acc: 94.17%.
+[ Tue Aug 23 21:49:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:49:06 2022 ] Eval epoch: 89
+[ Tue Aug 23 21:49:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:49:44 2022 ] 	Top1: 41.73%
+[ Tue Aug 23 21:49:44 2022 ] 	Top5: 73.60%
+[ Tue Aug 23 21:49:45 2022 ] Training epoch: 90
+[ Tue Aug 23 21:50:20 2022 ] 	Training loss: 1.0750.  Training acc: 94.39%.
+[ Tue Aug 23 21:50:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:50:20 2022 ] Eval epoch: 90
+[ Tue Aug 23 21:50:58 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:50:58 2022 ] 	Top1: 39.63%
+[ Tue Aug 23 21:50:59 2022 ] 	Top5: 72.53%
+[ Tue Aug 23 21:50:59 2022 ] Training epoch: 91
+[ Tue Aug 23 21:51:35 2022 ] 	Training loss: 0.9949.  Training acc: 97.09%.
+[ Tue Aug 23 21:51:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:51:35 2022 ] Eval epoch: 91
+[ Tue Aug 23 21:52:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:52:13 2022 ] 	Top1: 51.26%
+[ Tue Aug 23 21:52:14 2022 ] 	Top5: 82.89%
+[ Tue Aug 23 21:52:14 2022 ] Training epoch: 92
+[ Tue Aug 23 21:52:51 2022 ] 	Training loss: 0.9549.  Training acc: 98.33%.
+[ Tue Aug 23 21:52:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:52:51 2022 ] Eval epoch: 92
+[ Tue Aug 23 21:53:28 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:53:29 2022 ] 	Top1: 51.31%
+[ Tue Aug 23 21:53:29 2022 ] 	Top5: 82.83%
+[ Tue Aug 23 21:53:30 2022 ] Training epoch: 93
+[ Tue Aug 23 21:54:06 2022 ] 	Training loss: 0.9461.  Training acc: 98.36%.
+[ Tue Aug 23 21:54:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:54:06 2022 ] Eval epoch: 93
+[ Tue Aug 23 21:54:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:54:43 2022 ] 	Top1: 50.99%
+[ Tue Aug 23 21:54:44 2022 ] 	Top5: 82.79%
+[ Tue Aug 23 21:54:44 2022 ] Training epoch: 94
+[ Tue Aug 23 21:55:20 2022 ] 	Training loss: 0.9356.  Training acc: 98.78%.
+[ Tue Aug 23 21:55:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:55:20 2022 ] Eval epoch: 94
+[ Tue Aug 23 21:55:57 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:55:58 2022 ] 	Top1: 52.01%
+[ Tue Aug 23 21:55:58 2022 ] 	Top5: 83.31%
+[ Tue Aug 23 21:55:59 2022 ] Training epoch: 95
+[ Tue Aug 23 21:56:35 2022 ] 	Training loss: 0.9310.  Training acc: 98.77%.
+[ Tue Aug 23 21:56:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:56:35 2022 ] Eval epoch: 95
+[ Tue Aug 23 21:57:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:57:13 2022 ] 	Top1: 51.31%
+[ Tue Aug 23 21:57:14 2022 ] 	Top5: 82.74%
+[ Tue Aug 23 21:57:14 2022 ] Training epoch: 96
+[ Tue Aug 23 21:57:51 2022 ] 	Training loss: 0.9283.  Training acc: 98.70%.
+[ Tue Aug 23 21:57:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:57:51 2022 ] Eval epoch: 96
+[ Tue Aug 23 21:58:29 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:58:29 2022 ] 	Top1: 51.11%
+[ Tue Aug 23 21:58:29 2022 ] 	Top5: 82.59%
+[ Tue Aug 23 21:58:30 2022 ] Training epoch: 97
+[ Tue Aug 23 21:59:05 2022 ] 	Training loss: 0.9265.  Training acc: 98.89%.
+[ Tue Aug 23 21:59:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 21:59:05 2022 ] Eval epoch: 97
+[ Tue Aug 23 21:59:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 21:59:44 2022 ] 	Top1: 51.51%
+[ Tue Aug 23 21:59:44 2022 ] 	Top5: 82.71%
+[ Tue Aug 23 21:59:44 2022 ] Training epoch: 98
+[ Tue Aug 23 22:00:20 2022 ] 	Training loss: 0.9209.  Training acc: 99.04%.
+[ Tue Aug 23 22:00:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:00:20 2022 ] Eval epoch: 98
+[ Tue Aug 23 22:00:58 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:00:59 2022 ] 	Top1: 50.94%
+[ Tue Aug 23 22:00:59 2022 ] 	Top5: 82.44%
+[ Tue Aug 23 22:01:00 2022 ] Training epoch: 99
+[ Tue Aug 23 22:01:35 2022 ] 	Training loss: 0.9182.  Training acc: 99.17%.
+[ Tue Aug 23 22:01:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:01:35 2022 ] Eval epoch: 99
+[ Tue Aug 23 22:02:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:02:13 2022 ] 	Top1: 51.84%
+[ Tue Aug 23 22:02:13 2022 ] 	Top5: 82.93%
+[ Tue Aug 23 22:02:14 2022 ] Training epoch: 100
+[ Tue Aug 23 22:02:51 2022 ] 	Training loss: 0.9142.  Training acc: 99.23%.
+[ Tue Aug 23 22:02:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:02:51 2022 ] Eval epoch: 100
+[ Tue Aug 23 22:03:28 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:03:28 2022 ] 	Top1: 51.68%
+[ Tue Aug 23 22:03:29 2022 ] 	Top5: 82.89%
+[ Tue Aug 23 22:03:29 2022 ] Training epoch: 101
+[ Tue Aug 23 22:04:04 2022 ] 	Training loss: 0.9126.  Training acc: 99.23%.
+[ Tue Aug 23 22:04:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:04:04 2022 ] Eval epoch: 101
+[ Tue Aug 23 22:04:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:04:43 2022 ] 	Top1: 51.64%
+[ Tue Aug 23 22:04:43 2022 ] 	Top5: 82.89%
+[ Tue Aug 23 22:04:44 2022 ] Training epoch: 102
+[ Tue Aug 23 22:05:20 2022 ] 	Training loss: 0.9122.  Training acc: 99.17%.
+[ Tue Aug 23 22:05:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:05:20 2022 ] Eval epoch: 102
+[ Tue Aug 23 22:05:57 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:05:58 2022 ] 	Top1: 51.37%
+[ Tue Aug 23 22:05:58 2022 ] 	Top5: 82.78%
+[ Tue Aug 23 22:05:59 2022 ] Training epoch: 103
+[ Tue Aug 23 22:06:34 2022 ] 	Training loss: 0.9116.  Training acc: 99.32%.
+[ Tue Aug 23 22:06:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:06:34 2022 ] Eval epoch: 103
+[ Tue Aug 23 22:07:12 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:07:13 2022 ] 	Top1: 51.43%
+[ Tue Aug 23 22:07:13 2022 ] 	Top5: 82.81%
+[ Tue Aug 23 22:07:13 2022 ] Training epoch: 104
+[ Tue Aug 23 22:07:49 2022 ] 	Training loss: 0.9101.  Training acc: 99.32%.
+[ Tue Aug 23 22:07:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:07:49 2022 ] Eval epoch: 104
+[ Tue Aug 23 22:08:27 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:08:27 2022 ] 	Top1: 51.57%
+[ Tue Aug 23 22:08:28 2022 ] 	Top5: 83.10%
+[ Tue Aug 23 22:08:28 2022 ] Training epoch: 105
+[ Tue Aug 23 22:09:04 2022 ] 	Training loss: 0.9097.  Training acc: 99.30%.
+[ Tue Aug 23 22:09:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:09:04 2022 ] Eval epoch: 105
+[ Tue Aug 23 22:09:41 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:09:42 2022 ] 	Top1: 51.85%
+[ Tue Aug 23 22:09:42 2022 ] 	Top5: 83.12%
+[ Tue Aug 23 22:09:43 2022 ] Training epoch: 106
+[ Tue Aug 23 22:10:20 2022 ] 	Training loss: 0.9096.  Training acc: 99.32%.
+[ Tue Aug 23 22:10:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:10:20 2022 ] Eval epoch: 106
+[ Tue Aug 23 22:10:58 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:10:59 2022 ] 	Top1: 50.57%
+[ Tue Aug 23 22:10:59 2022 ] 	Top5: 82.05%
+[ Tue Aug 23 22:10:59 2022 ] Training epoch: 107
+[ Tue Aug 23 22:11:35 2022 ] 	Training loss: 0.9109.  Training acc: 99.32%.
+[ Tue Aug 23 22:11:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:11:35 2022 ] Eval epoch: 107
+[ Tue Aug 23 22:12:13 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:12:13 2022 ] 	Top1: 51.37%
+[ Tue Aug 23 22:12:14 2022 ] 	Top5: 82.77%
+[ Tue Aug 23 22:12:14 2022 ] Training epoch: 108
+[ Tue Aug 23 22:12:50 2022 ] 	Training loss: 0.9115.  Training acc: 99.23%.
+[ Tue Aug 23 22:12:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:12:50 2022 ] Eval epoch: 108
+[ Tue Aug 23 22:13:28 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:13:29 2022 ] 	Top1: 52.27%
+[ Tue Aug 23 22:13:29 2022 ] 	Top5: 83.32%
+[ Tue Aug 23 22:13:30 2022 ] Training epoch: 109
+[ Tue Aug 23 22:14:05 2022 ] 	Training loss: 0.9082.  Training acc: 99.41%.
+[ Tue Aug 23 22:14:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:14:05 2022 ] Eval epoch: 109
+[ Tue Aug 23 22:14:43 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:14:43 2022 ] 	Top1: 50.89%
+[ Tue Aug 23 22:14:44 2022 ] 	Top5: 82.45%
+[ Tue Aug 23 22:14:44 2022 ] Training epoch: 110
+[ Tue Aug 23 22:15:19 2022 ] 	Training loss: 0.9097.  Training acc: 99.26%.
+[ Tue Aug 23 22:15:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 22:15:19 2022 ] Eval epoch: 110
+[ Tue Aug 23 22:15:56 2022 ] 	Mean test loss of 156 batches:  nan.
+[ Tue Aug 23 22:15:57 2022 ] 	Top1: 51.36%
+[ Tue Aug 23 22:15:57 2022 ] 	Top5: 82.77%

ckpt/Others/InfoGCN/ntu_60_xsub_LT/b/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:700e414005f9a7e2b955a05c949ea460e90ee9307d398d08d4776a10e8fb7e6f
+size 4655494

ckpt/Others/InfoGCN/ntu_60_xsub_LT/b/log.txt

@@ -0,0 +1,885 @@
+[ Fri Sep  2 10:45:49 2022 ] using warm up, epoch: 5
+[ Fri Sep  2 10:45:58 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 60, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu/NTU60_CS_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': False, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_60_xsub_LT_1/b', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 1, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 64, 'test_batch_size': 64, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Fri Sep  2 10:45:58 2022 ] # Parameters: 1556807
+[ Fri Sep  2 10:45:58 2022 ] Training epoch: 1
+[ Fri Sep  2 10:46:43 2022 ] 	Training loss: 11.0741.  Training acc: 5.79%.
+[ Fri Sep  2 10:46:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 10:46:43 2022 ] Eval epoch: 1
+[ Fri Sep  2 10:48:08 2022 ] 	Mean test loss of 625 batches: 6.157937.
+[ Fri Sep  2 10:48:08 2022 ] 	Top1: 2.26%
+[ Fri Sep  2 10:48:08 2022 ] 	Top5: 9.51%
+[ Fri Sep  2 10:48:09 2022 ] 	Best acc: 2.26.
+[ Fri Sep  2 10:48:09 2022 ] Training epoch: 2
+[ Fri Sep  2 10:49:25 2022 ] 	Training loss: 3.8351.  Training acc: 10.62%.
+[ Fri Sep  2 10:49:25 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 10:49:25 2022 ] Eval epoch: 2
+[ Fri Sep  2 10:50:54 2022 ] 	Mean test loss of 625 batches: 5.232802.
+[ Fri Sep  2 10:50:54 2022 ] 	Top1: 2.87%
+[ Fri Sep  2 10:50:54 2022 ] 	Top5: 9.63%
+[ Fri Sep  2 10:50:54 2022 ] 	Best acc: 2.87.
+[ Fri Sep  2 10:50:54 2022 ] Training epoch: 3
+[ Fri Sep  2 10:52:07 2022 ] 	Training loss: 3.5385.  Training acc: 12.77%.
+[ Fri Sep  2 10:52:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 10:52:07 2022 ] Eval epoch: 3
+[ Fri Sep  2 10:53:51 2022 ] 	Mean test loss of 625 batches: 6.895156.
+[ Fri Sep  2 10:53:51 2022 ] 	Top1: 1.69%
+[ Fri Sep  2 10:53:51 2022 ] 	Top5: 10.13%
+[ Fri Sep  2 10:53:51 2022 ] 	Best acc: 2.87.
+[ Fri Sep  2 10:53:51 2022 ] Training epoch: 4
+[ Fri Sep  2 10:55:14 2022 ] 	Training loss: 3.2308.  Training acc: 18.37%.
+[ Fri Sep  2 10:55:14 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 10:55:14 2022 ] Eval epoch: 4
+[ Fri Sep  2 10:56:46 2022 ] 	Mean test loss of 625 batches: 7.560828.
+[ Fri Sep  2 10:56:46 2022 ] 	Top1: 2.44%
+[ Fri Sep  2 10:56:47 2022 ] 	Top5: 12.51%
+[ Fri Sep  2 10:56:47 2022 ] 	Best acc: 2.87.
+[ Fri Sep  2 10:56:47 2022 ] Training epoch: 5
+[ Fri Sep  2 10:57:54 2022 ] 	Training loss: 2.9955.  Training acc: 26.36%.
+[ Fri Sep  2 10:57:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 10:57:54 2022 ] Eval epoch: 5
+[ Fri Sep  2 10:59:34 2022 ] 	Mean test loss of 625 batches: 5.523661.
+[ Fri Sep  2 10:59:34 2022 ] 	Top1: 4.47%
+[ Fri Sep  2 10:59:34 2022 ] 	Top5: 16.70%
+[ Fri Sep  2 10:59:35 2022 ] 	Best acc: 4.47.
+[ Fri Sep  2 10:59:35 2022 ] Training epoch: 6
+[ Fri Sep  2 11:00:56 2022 ] 	Training loss: 2.7406.  Training acc: 34.32%.
+[ Fri Sep  2 11:00:56 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:00:56 2022 ] Eval epoch: 6
+[ Fri Sep  2 11:02:21 2022 ] 	Mean test loss of 625 batches: 4.374303.
+[ Fri Sep  2 11:02:21 2022 ] 	Top1: 6.50%
+[ Fri Sep  2 11:02:21 2022 ] 	Top5: 26.45%
+[ Fri Sep  2 11:02:22 2022 ] 	Best acc: 6.50.
+[ Fri Sep  2 11:02:22 2022 ] Training epoch: 7
+[ Fri Sep  2 11:03:34 2022 ] 	Training loss: 2.6008.  Training acc: 38.38%.
+[ Fri Sep  2 11:03:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:03:34 2022 ] Eval epoch: 7
+[ Fri Sep  2 11:05:12 2022 ] 	Mean test loss of 625 batches: 9.225239.
+[ Fri Sep  2 11:05:12 2022 ] 	Top1: 4.89%
+[ Fri Sep  2 11:05:12 2022 ] 	Top5: 23.22%
+[ Fri Sep  2 11:05:12 2022 ] 	Best acc: 6.50.
+[ Fri Sep  2 11:05:12 2022 ] Training epoch: 8
+[ Fri Sep  2 11:06:36 2022 ] 	Training loss: 2.5312.  Training acc: 40.08%.
+[ Fri Sep  2 11:06:36 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:06:36 2022 ] Eval epoch: 8
+[ Fri Sep  2 11:08:08 2022 ] 	Mean test loss of 625 batches: 5.248403.
+[ Fri Sep  2 11:08:08 2022 ] 	Top1: 4.96%
+[ Fri Sep  2 11:08:08 2022 ] 	Top5: 18.95%
+[ Fri Sep  2 11:08:08 2022 ] 	Best acc: 6.50.
+[ Fri Sep  2 11:08:08 2022 ] Training epoch: 9
+[ Fri Sep  2 11:09:22 2022 ] 	Training loss: 2.4855.  Training acc: 41.68%.
+[ Fri Sep  2 11:09:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:09:22 2022 ] Eval epoch: 9
+[ Fri Sep  2 11:10:59 2022 ] 	Mean test loss of 625 batches: 5.027113.
+[ Fri Sep  2 11:10:59 2022 ] 	Top1: 6.45%
+[ Fri Sep  2 11:10:59 2022 ] 	Top5: 23.08%
+[ Fri Sep  2 11:10:59 2022 ] 	Best acc: 6.50.
+[ Fri Sep  2 11:10:59 2022 ] Training epoch: 10
+[ Fri Sep  2 11:12:00 2022 ] 	Training loss: 2.4134.  Training acc: 44.30%.
+[ Fri Sep  2 11:12:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:12:00 2022 ] Eval epoch: 10
+[ Fri Sep  2 11:13:11 2022 ] 	Mean test loss of 625 batches: 5.030217.
+[ Fri Sep  2 11:13:11 2022 ] 	Top1: 10.01%
+[ Fri Sep  2 11:13:12 2022 ] 	Top5: 28.98%
+[ Fri Sep  2 11:13:12 2022 ] 	Best acc: 10.01.
+[ Fri Sep  2 11:13:12 2022 ] Training epoch: 11
+[ Fri Sep  2 11:14:35 2022 ] 	Training loss: 2.4849.  Training acc: 40.99%.
+[ Fri Sep  2 11:14:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:14:35 2022 ] Eval epoch: 11
+[ Fri Sep  2 11:15:54 2022 ] 	Mean test loss of 625 batches: 5.557610.
+[ Fri Sep  2 11:15:54 2022 ] 	Top1: 6.36%
+[ Fri Sep  2 11:15:54 2022 ] 	Top5: 19.40%
+[ Fri Sep  2 11:15:54 2022 ] 	Best acc: 10.01.
+[ Fri Sep  2 11:15:54 2022 ] Training epoch: 12
+[ Fri Sep  2 11:17:15 2022 ] 	Training loss: 2.4057.  Training acc: 43.69%.
+[ Fri Sep  2 11:17:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:17:15 2022 ] Eval epoch: 12
+[ Fri Sep  2 11:18:23 2022 ] 	Mean test loss of 625 batches: 19.095943.
+[ Fri Sep  2 11:18:23 2022 ] 	Top1: 4.97%
+[ Fri Sep  2 11:18:23 2022 ] 	Top5: 18.00%
+[ Fri Sep  2 11:18:23 2022 ] 	Best acc: 10.01.
+[ Fri Sep  2 11:18:23 2022 ] Training epoch: 13
+[ Fri Sep  2 11:19:59 2022 ] 	Training loss: 2.3314.  Training acc: 45.49%.
+[ Fri Sep  2 11:19:59 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:19:59 2022 ] Eval epoch: 13
+[ Fri Sep  2 11:20:41 2022 ] 	Mean test loss of 625 batches: 4.618180.
+[ Fri Sep  2 11:20:41 2022 ] 	Top1: 12.12%
+[ Fri Sep  2 11:20:41 2022 ] 	Top5: 35.05%
+[ Fri Sep  2 11:20:41 2022 ] 	Best acc: 12.12.
+[ Fri Sep  2 11:20:41 2022 ] Training epoch: 14
+[ Fri Sep  2 11:22:11 2022 ] 	Training loss: 2.2950.  Training acc: 47.12%.
+[ Fri Sep  2 11:22:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:22:11 2022 ] Eval epoch: 14
+[ Fri Sep  2 11:23:31 2022 ] 	Mean test loss of 625 batches: 4.328344.
+[ Fri Sep  2 11:23:31 2022 ] 	Top1: 9.84%
+[ Fri Sep  2 11:23:32 2022 ] 	Top5: 32.42%
+[ Fri Sep  2 11:23:32 2022 ] 	Best acc: 12.12.
+[ Fri Sep  2 11:23:32 2022 ] Training epoch: 15
+[ Fri Sep  2 11:24:54 2022 ] 	Training loss: 2.2222.  Training acc: 48.82%.
+[ Fri Sep  2 11:24:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:24:54 2022 ] Eval epoch: 15
+[ Fri Sep  2 11:26:01 2022 ] 	Mean test loss of 625 batches: 32.456037.
+[ Fri Sep  2 11:26:01 2022 ] 	Top1: 3.77%
+[ Fri Sep  2 11:26:01 2022 ] 	Top5: 22.37%
+[ Fri Sep  2 11:26:01 2022 ] 	Best acc: 12.12.
+[ Fri Sep  2 11:26:01 2022 ] Training epoch: 16
+[ Fri Sep  2 11:27:25 2022 ] 	Training loss: 2.1620.  Training acc: 51.73%.
+[ Fri Sep  2 11:27:25 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:27:25 2022 ] Eval epoch: 16
+[ Fri Sep  2 11:29:03 2022 ] 	Mean test loss of 625 batches: 7.475929.
+[ Fri Sep  2 11:29:04 2022 ] 	Top1: 5.13%
+[ Fri Sep  2 11:29:04 2022 ] 	Top5: 22.88%
+[ Fri Sep  2 11:29:04 2022 ] 	Best acc: 12.12.
+[ Fri Sep  2 11:29:04 2022 ] Training epoch: 17
+[ Fri Sep  2 11:30:11 2022 ] 	Training loss: 2.1004.  Training acc: 53.47%.
+[ Fri Sep  2 11:30:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:30:11 2022 ] Eval epoch: 17
+[ Fri Sep  2 11:31:50 2022 ] 	Mean test loss of 625 batches: 3.913506.
+[ Fri Sep  2 11:31:50 2022 ] 	Top1: 16.92%
+[ Fri Sep  2 11:31:50 2022 ] 	Top5: 53.13%
+[ Fri Sep  2 11:31:50 2022 ] 	Best acc: 16.92.
+[ Fri Sep  2 11:31:50 2022 ] Training epoch: 18
+[ Fri Sep  2 11:33:10 2022 ] 	Training loss: 2.0465.  Training acc: 56.07%.
+[ Fri Sep  2 11:33:10 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:33:10 2022 ] Eval epoch: 18
+[ Fri Sep  2 11:34:48 2022 ] 	Mean test loss of 625 batches: 4.831241.
+[ Fri Sep  2 11:34:48 2022 ] 	Top1: 8.45%
+[ Fri Sep  2 11:34:48 2022 ] 	Top5: 28.97%
+[ Fri Sep  2 11:34:49 2022 ] 	Best acc: 16.92.
+[ Fri Sep  2 11:34:49 2022 ] Training epoch: 19
+[ Fri Sep  2 11:35:57 2022 ] 	Training loss: 2.0246.  Training acc: 56.30%.
+[ Fri Sep  2 11:35:57 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:35:57 2022 ] Eval epoch: 19
+[ Fri Sep  2 11:37:41 2022 ] 	Mean test loss of 625 batches: 3.813300.
+[ Fri Sep  2 11:37:42 2022 ] 	Top1: 17.60%
+[ Fri Sep  2 11:37:42 2022 ] 	Top5: 44.31%
+[ Fri Sep  2 11:37:42 2022 ] 	Best acc: 17.60.
+[ Fri Sep  2 11:37:42 2022 ] Training epoch: 20
+[ Fri Sep  2 11:39:00 2022 ] 	Training loss: 1.9879.  Training acc: 57.81%.
+[ Fri Sep  2 11:39:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:39:00 2022 ] Eval epoch: 20
+[ Fri Sep  2 11:40:46 2022 ] 	Mean test loss of 625 batches: 6.946599.
+[ Fri Sep  2 11:40:46 2022 ] 	Top1: 5.14%
+[ Fri Sep  2 11:40:46 2022 ] 	Top5: 30.38%
+[ Fri Sep  2 11:40:46 2022 ] 	Best acc: 17.60.
+[ Fri Sep  2 11:40:46 2022 ] Training epoch: 21
+[ Fri Sep  2 11:41:59 2022 ] 	Training loss: 1.9644.  Training acc: 58.36%.
+[ Fri Sep  2 11:41:59 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:41:59 2022 ] Eval epoch: 21
+[ Fri Sep  2 11:43:49 2022 ] 	Mean test loss of 625 batches: 6.602929.
+[ Fri Sep  2 11:43:49 2022 ] 	Top1: 7.73%
+[ Fri Sep  2 11:43:49 2022 ] 	Top5: 25.27%
+[ Fri Sep  2 11:43:49 2022 ] 	Best acc: 17.60.
+[ Fri Sep  2 11:43:49 2022 ] Training epoch: 22
+[ Fri Sep  2 11:45:00 2022 ] 	Training loss: 1.9123.  Training acc: 60.53%.
+[ Fri Sep  2 11:45:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:45:00 2022 ] Eval epoch: 22
+[ Fri Sep  2 11:47:02 2022 ] 	Mean test loss of 625 batches: 3.974492.
+[ Fri Sep  2 11:47:02 2022 ] 	Top1: 16.61%
+[ Fri Sep  2 11:47:02 2022 ] 	Top5: 47.41%
+[ Fri Sep  2 11:47:02 2022 ] 	Best acc: 17.60.
+[ Fri Sep  2 11:47:02 2022 ] Training epoch: 23
+[ Fri Sep  2 11:48:13 2022 ] 	Training loss: 1.8936.  Training acc: 60.99%.
+[ Fri Sep  2 11:48:13 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:48:13 2022 ] Eval epoch: 23
+[ Fri Sep  2 11:50:13 2022 ] 	Mean test loss of 625 batches: 4.447861.
+[ Fri Sep  2 11:50:13 2022 ] 	Top1: 15.56%
+[ Fri Sep  2 11:50:13 2022 ] 	Top5: 40.24%
+[ Fri Sep  2 11:50:14 2022 ] 	Best acc: 17.60.
+[ Fri Sep  2 11:50:14 2022 ] Training epoch: 24
+[ Fri Sep  2 11:51:19 2022 ] 	Training loss: 1.8772.  Training acc: 61.28%.
+[ Fri Sep  2 11:51:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:51:19 2022 ] Eval epoch: 24
+[ Fri Sep  2 11:53:25 2022 ] 	Mean test loss of 625 batches: 8.455408.
+[ Fri Sep  2 11:53:25 2022 ] 	Top1: 8.52%
+[ Fri Sep  2 11:53:25 2022 ] 	Top5: 26.77%
+[ Fri Sep  2 11:53:25 2022 ] 	Best acc: 17.60.
+[ Fri Sep  2 11:53:25 2022 ] Training epoch: 25
+[ Fri Sep  2 11:54:33 2022 ] 	Training loss: 1.8475.  Training acc: 62.69%.
+[ Fri Sep  2 11:54:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:54:33 2022 ] Eval epoch: 25
+[ Fri Sep  2 11:56:30 2022 ] 	Mean test loss of 625 batches: 3.897207.
+[ Fri Sep  2 11:56:30 2022 ] 	Top1: 14.84%
+[ Fri Sep  2 11:56:31 2022 ] 	Top5: 45.55%
+[ Fri Sep  2 11:56:31 2022 ] 	Best acc: 17.60.
+[ Fri Sep  2 11:56:31 2022 ] Training epoch: 26
+[ Fri Sep  2 11:57:34 2022 ] 	Training loss: 1.8202.  Training acc: 63.03%.
+[ Fri Sep  2 11:57:34 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:57:34 2022 ] Eval epoch: 26
+[ Fri Sep  2 11:59:30 2022 ] 	Mean test loss of 625 batches: 7.384525.
+[ Fri Sep  2 11:59:30 2022 ] 	Top1: 6.85%
+[ Fri Sep  2 11:59:30 2022 ] 	Top5: 26.86%
+[ Fri Sep  2 11:59:30 2022 ] 	Best acc: 17.60.
+[ Fri Sep  2 11:59:30 2022 ] Training epoch: 27
+[ Fri Sep  2 12:00:40 2022 ] 	Training loss: 1.8042.  Training acc: 63.69%.
+[ Fri Sep  2 12:00:40 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:00:40 2022 ] Eval epoch: 27
+[ Fri Sep  2 12:02:33 2022 ] 	Mean test loss of 625 batches: 3.331890.
+[ Fri Sep  2 12:02:33 2022 ] 	Top1: 21.84%
+[ Fri Sep  2 12:02:33 2022 ] 	Top5: 54.83%
+[ Fri Sep  2 12:02:33 2022 ] 	Best acc: 21.84.
+[ Fri Sep  2 12:02:33 2022 ] Training epoch: 28
+[ Fri Sep  2 12:03:48 2022 ] 	Training loss: 1.7670.  Training acc: 65.10%.
+[ Fri Sep  2 12:03:48 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:03:48 2022 ] Eval epoch: 28
+[ Fri Sep  2 12:05:24 2022 ] 	Mean test loss of 625 batches: 3.732861.
+[ Fri Sep  2 12:05:24 2022 ] 	Top1: 24.26%
+[ Fri Sep  2 12:05:24 2022 ] 	Top5: 56.14%
+[ Fri Sep  2 12:05:25 2022 ] 	Best acc: 24.26.
+[ Fri Sep  2 12:05:25 2022 ] Training epoch: 29
+[ Fri Sep  2 12:06:43 2022 ] 	Training loss: 1.7594.  Training acc: 66.17%.
+[ Fri Sep  2 12:06:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:06:43 2022 ] Eval epoch: 29
+[ Fri Sep  2 12:08:15 2022 ] 	Mean test loss of 625 batches: 5.791029.
+[ Fri Sep  2 12:08:15 2022 ] 	Top1: 12.29%
+[ Fri Sep  2 12:08:15 2022 ] 	Top5: 40.23%
+[ Fri Sep  2 12:08:15 2022 ] 	Best acc: 24.26.
+[ Fri Sep  2 12:08:15 2022 ] Training epoch: 30
+[ Fri Sep  2 12:09:38 2022 ] 	Training loss: 1.7456.  Training acc: 65.70%.
+[ Fri Sep  2 12:09:38 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:09:38 2022 ] Eval epoch: 30
+[ Fri Sep  2 12:10:48 2022 ] 	Mean test loss of 625 batches: 3.113041.
+[ Fri Sep  2 12:10:48 2022 ] 	Top1: 25.58%
+[ Fri Sep  2 12:10:48 2022 ] 	Top5: 62.07%
+[ Fri Sep  2 12:10:48 2022 ] 	Best acc: 25.58.
+[ Fri Sep  2 12:10:48 2022 ] Training epoch: 31
+[ Fri Sep  2 12:12:25 2022 ] 	Training loss: 1.7212.  Training acc: 67.33%.
+[ Fri Sep  2 12:12:25 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:12:25 2022 ] Eval epoch: 31
+[ Fri Sep  2 12:13:27 2022 ] 	Mean test loss of 625 batches: 4.742793.
+[ Fri Sep  2 12:13:27 2022 ] 	Top1: 9.56%
+[ Fri Sep  2 12:13:27 2022 ] 	Top5: 28.62%
+[ Fri Sep  2 12:13:28 2022 ] 	Best acc: 25.58.
+[ Fri Sep  2 12:13:28 2022 ] Training epoch: 32
+[ Fri Sep  2 12:15:02 2022 ] 	Training loss: 1.6865.  Training acc: 68.13%.
+[ Fri Sep  2 12:15:02 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:15:02 2022 ] Eval epoch: 32
+[ Fri Sep  2 12:16:21 2022 ] 	Mean test loss of 625 batches: 3.678905.
+[ Fri Sep  2 12:16:21 2022 ] 	Top1: 18.73%
+[ Fri Sep  2 12:16:21 2022 ] 	Top5: 54.05%
+[ Fri Sep  2 12:16:21 2022 ] 	Best acc: 25.58.
+[ Fri Sep  2 12:16:21 2022 ] Training epoch: 33
+[ Fri Sep  2 12:17:51 2022 ] 	Training loss: 1.6867.  Training acc: 68.15%.
+[ Fri Sep  2 12:17:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:17:51 2022 ] Eval epoch: 33
+[ Fri Sep  2 12:19:12 2022 ] 	Mean test loss of 625 batches: 3.364793.
+[ Fri Sep  2 12:19:12 2022 ] 	Top1: 22.00%
+[ Fri Sep  2 12:19:12 2022 ] 	Top5: 58.96%
+[ Fri Sep  2 12:19:12 2022 ] 	Best acc: 25.58.
+[ Fri Sep  2 12:19:12 2022 ] Training epoch: 34
+[ Fri Sep  2 12:20:32 2022 ] 	Training loss: 1.6699.  Training acc: 68.94%.
+[ Fri Sep  2 12:20:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:20:32 2022 ] Eval epoch: 34
+[ Fri Sep  2 12:22:14 2022 ] 	Mean test loss of 625 batches: 3.316948.
+[ Fri Sep  2 12:22:14 2022 ] 	Top1: 22.10%
+[ Fri Sep  2 12:22:15 2022 ] 	Top5: 64.27%
+[ Fri Sep  2 12:22:15 2022 ] 	Best acc: 25.58.
+[ Fri Sep  2 12:22:15 2022 ] Training epoch: 35
+[ Fri Sep  2 12:23:30 2022 ] 	Training loss: 1.6613.  Training acc: 69.33%.
+[ Fri Sep  2 12:23:30 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:23:30 2022 ] Eval epoch: 35
+[ Fri Sep  2 12:25:14 2022 ] 	Mean test loss of 625 batches: 4.959414.
+[ Fri Sep  2 12:25:14 2022 ] 	Top1: 9.84%
+[ Fri Sep  2 12:25:14 2022 ] 	Top5: 35.89%
+[ Fri Sep  2 12:25:14 2022 ] 	Best acc: 25.58.
+[ Fri Sep  2 12:25:14 2022 ] Training epoch: 36
+[ Fri Sep  2 12:26:30 2022 ] 	Training loss: 1.6534.  Training acc: 69.18%.
+[ Fri Sep  2 12:26:30 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:26:30 2022 ] Eval epoch: 36
+[ Fri Sep  2 12:28:25 2022 ] 	Mean test loss of 625 batches: 4.663024.
+[ Fri Sep  2 12:28:25 2022 ] 	Top1: 8.81%
+[ Fri Sep  2 12:28:25 2022 ] 	Top5: 30.53%
+[ Fri Sep  2 12:28:25 2022 ] 	Best acc: 25.58.
+[ Fri Sep  2 12:28:25 2022 ] Training epoch: 37
+[ Fri Sep  2 12:29:41 2022 ] 	Training loss: 1.6497.  Training acc: 69.13%.
+[ Fri Sep  2 12:29:41 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:29:41 2022 ] Eval epoch: 37
+[ Fri Sep  2 12:31:33 2022 ] 	Mean test loss of 625 batches: 3.692838.
+[ Fri Sep  2 12:31:33 2022 ] 	Top1: 25.95%
+[ Fri Sep  2 12:31:33 2022 ] 	Top5: 59.90%
+[ Fri Sep  2 12:31:34 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 12:31:34 2022 ] Training epoch: 38
+[ Fri Sep  2 12:32:43 2022 ] 	Training loss: 1.6213.  Training acc: 70.82%.
+[ Fri Sep  2 12:32:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:32:43 2022 ] Eval epoch: 38
+[ Fri Sep  2 12:34:41 2022 ] 	Mean test loss of 625 batches: 5.215089.
+[ Fri Sep  2 12:34:41 2022 ] 	Top1: 10.49%
+[ Fri Sep  2 12:34:41 2022 ] 	Top5: 29.45%
+[ Fri Sep  2 12:34:41 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 12:34:41 2022 ] Training epoch: 39
+[ Fri Sep  2 12:35:57 2022 ] 	Training loss: 1.5983.  Training acc: 71.27%.
+[ Fri Sep  2 12:35:57 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:35:57 2022 ] Eval epoch: 39
+[ Fri Sep  2 12:37:57 2022 ] 	Mean test loss of 625 batches: 7.024696.
+[ Fri Sep  2 12:37:58 2022 ] 	Top1: 5.31%
+[ Fri Sep  2 12:37:58 2022 ] 	Top5: 25.17%
+[ Fri Sep  2 12:37:58 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 12:37:58 2022 ] Training epoch: 40
+[ Fri Sep  2 12:39:07 2022 ] 	Training loss: 1.5908.  Training acc: 71.68%.
+[ Fri Sep  2 12:39:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:39:07 2022 ] Eval epoch: 40
+[ Fri Sep  2 12:41:11 2022 ] 	Mean test loss of 625 batches: 4.391513.
+[ Fri Sep  2 12:41:11 2022 ] 	Top1: 13.23%
+[ Fri Sep  2 12:41:11 2022 ] 	Top5: 41.87%
+[ Fri Sep  2 12:41:11 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 12:41:11 2022 ] Training epoch: 41
+[ Fri Sep  2 12:42:19 2022 ] 	Training loss: 1.5814.  Training acc: 71.56%.
+[ Fri Sep  2 12:42:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:42:19 2022 ] Eval epoch: 41
+[ Fri Sep  2 12:44:27 2022 ] 	Mean test loss of 625 batches: 3.476575.
+[ Fri Sep  2 12:44:27 2022 ] 	Top1: 20.56%
+[ Fri Sep  2 12:44:27 2022 ] 	Top5: 51.57%
+[ Fri Sep  2 12:44:27 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 12:44:27 2022 ] Training epoch: 42
+[ Fri Sep  2 12:45:31 2022 ] 	Training loss: 1.5543.  Training acc: 72.69%.
+[ Fri Sep  2 12:45:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:45:31 2022 ] Eval epoch: 42
+[ Fri Sep  2 12:47:35 2022 ] 	Mean test loss of 625 batches: 6.049247.
+[ Fri Sep  2 12:47:35 2022 ] 	Top1: 7.12%
+[ Fri Sep  2 12:47:35 2022 ] 	Top5: 23.90%
+[ Fri Sep  2 12:47:35 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 12:47:35 2022 ] Training epoch: 43
+[ Fri Sep  2 12:48:39 2022 ] 	Training loss: 1.5662.  Training acc: 72.10%.
+[ Fri Sep  2 12:48:39 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:48:39 2022 ] Eval epoch: 43
+[ Fri Sep  2 12:50:48 2022 ] 	Mean test loss of 625 batches: 5.085649.
+[ Fri Sep  2 12:50:48 2022 ] 	Top1: 9.17%
+[ Fri Sep  2 12:50:48 2022 ] 	Top5: 29.87%
+[ Fri Sep  2 12:50:49 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 12:50:49 2022 ] Training epoch: 44
+[ Fri Sep  2 12:51:53 2022 ] 	Training loss: 1.5403.  Training acc: 72.98%.
+[ Fri Sep  2 12:51:53 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:51:53 2022 ] Eval epoch: 44
+[ Fri Sep  2 12:54:02 2022 ] 	Mean test loss of 625 batches: 9.607024.
+[ Fri Sep  2 12:54:02 2022 ] 	Top1: 3.36%
+[ Fri Sep  2 12:54:02 2022 ] 	Top5: 16.81%
+[ Fri Sep  2 12:54:02 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 12:54:02 2022 ] Training epoch: 45
+[ Fri Sep  2 12:55:10 2022 ] 	Training loss: 1.5273.  Training acc: 73.76%.
+[ Fri Sep  2 12:55:10 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:55:10 2022 ] Eval epoch: 45
+[ Fri Sep  2 12:57:07 2022 ] 	Mean test loss of 625 batches: 5.083559.
+[ Fri Sep  2 12:57:08 2022 ] 	Top1: 12.63%
+[ Fri Sep  2 12:57:08 2022 ] 	Top5: 36.45%
+[ Fri Sep  2 12:57:08 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 12:57:08 2022 ] Training epoch: 46
+[ Fri Sep  2 12:58:17 2022 ] 	Training loss: 1.5149.  Training acc: 74.17%.
+[ Fri Sep  2 12:58:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:58:17 2022 ] Eval epoch: 46
+[ Fri Sep  2 13:00:23 2022 ] 	Mean test loss of 625 batches: 5.326936.
+[ Fri Sep  2 13:00:23 2022 ] 	Top1: 9.79%
+[ Fri Sep  2 13:00:23 2022 ] 	Top5: 30.40%
+[ Fri Sep  2 13:00:23 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 13:00:23 2022 ] Training epoch: 47
+[ Fri Sep  2 13:01:38 2022 ] 	Training loss: 1.5139.  Training acc: 74.07%.
+[ Fri Sep  2 13:01:38 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:01:38 2022 ] Eval epoch: 47
+[ Fri Sep  2 13:03:35 2022 ] 	Mean test loss of 625 batches: 6.204328.
+[ Fri Sep  2 13:03:35 2022 ] 	Top1: 6.89%
+[ Fri Sep  2 13:03:35 2022 ] 	Top5: 24.52%
+[ Fri Sep  2 13:03:35 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 13:03:35 2022 ] Training epoch: 48
+[ Fri Sep  2 13:04:52 2022 ] 	Training loss: 1.5067.  Training acc: 74.66%.
+[ Fri Sep  2 13:04:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:04:52 2022 ] Eval epoch: 48
+[ Fri Sep  2 13:06:51 2022 ] 	Mean test loss of 625 batches: 5.944287.
+[ Fri Sep  2 13:06:51 2022 ] 	Top1: 9.75%
+[ Fri Sep  2 13:06:51 2022 ] 	Top5: 29.58%
+[ Fri Sep  2 13:06:51 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 13:06:51 2022 ] Training epoch: 49
+[ Fri Sep  2 13:08:07 2022 ] 	Training loss: 1.5102.  Training acc: 74.38%.
+[ Fri Sep  2 13:08:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:08:07 2022 ] Eval epoch: 49
+[ Fri Sep  2 13:10:00 2022 ] 	Mean test loss of 625 batches: 6.727549.
+[ Fri Sep  2 13:10:00 2022 ] 	Top1: 8.16%
+[ Fri Sep  2 13:10:01 2022 ] 	Top5: 26.12%
+[ Fri Sep  2 13:10:01 2022 ] 	Best acc: 25.95.
+[ Fri Sep  2 13:10:01 2022 ] Training epoch: 50
+[ Fri Sep  2 13:11:06 2022 ] 	Training loss: 1.4834.  Training acc: 75.28%.
+[ Fri Sep  2 13:11:06 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:11:06 2022 ] Eval epoch: 50
+[ Fri Sep  2 13:13:15 2022 ] 	Mean test loss of 625 batches: 2.997912.
+[ Fri Sep  2 13:13:15 2022 ] 	Top1: 30.67%
+[ Fri Sep  2 13:13:15 2022 ] 	Top5: 71.18%
+[ Fri Sep  2 13:13:15 2022 ] 	Best acc: 30.67.
+[ Fri Sep  2 13:13:15 2022 ] Training epoch: 51
+[ Fri Sep  2 13:14:28 2022 ] 	Training loss: 1.4843.  Training acc: 75.48%.
+[ Fri Sep  2 13:14:28 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:14:28 2022 ] Eval epoch: 51
+[ Fri Sep  2 13:16:32 2022 ] 	Mean test loss of 625 batches: 2.456920.
+[ Fri Sep  2 13:16:32 2022 ] 	Top1: 42.97%
+[ Fri Sep  2 13:16:32 2022 ] 	Top5: 81.06%
+[ Fri Sep  2 13:16:32 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:16:32 2022 ] Training epoch: 52
+[ Fri Sep  2 13:17:36 2022 ] 	Training loss: 1.4601.  Training acc: 76.26%.
+[ Fri Sep  2 13:17:36 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:17:36 2022 ] Eval epoch: 52
+[ Fri Sep  2 13:19:36 2022 ] 	Mean test loss of 625 batches: 3.377756.
+[ Fri Sep  2 13:19:36 2022 ] 	Top1: 27.39%
+[ Fri Sep  2 13:19:36 2022 ] 	Top5: 63.67%
+[ Fri Sep  2 13:19:36 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:19:36 2022 ] Training epoch: 53
+[ Fri Sep  2 13:20:35 2022 ] 	Training loss: 1.4592.  Training acc: 76.22%.
+[ Fri Sep  2 13:20:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:20:35 2022 ] Eval epoch: 53
+[ Fri Sep  2 13:22:33 2022 ] 	Mean test loss of 625 batches: 2.801606.
+[ Fri Sep  2 13:22:34 2022 ] 	Top1: 37.10%
+[ Fri Sep  2 13:22:34 2022 ] 	Top5: 73.51%
+[ Fri Sep  2 13:22:34 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:22:34 2022 ] Training epoch: 54
+[ Fri Sep  2 13:23:45 2022 ] 	Training loss: 1.4584.  Training acc: 76.09%.
+[ Fri Sep  2 13:23:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:23:45 2022 ] Eval epoch: 54
+[ Fri Sep  2 13:25:50 2022 ] 	Mean test loss of 625 batches: 3.786002.
+[ Fri Sep  2 13:25:50 2022 ] 	Top1: 20.79%
+[ Fri Sep  2 13:25:50 2022 ] 	Top5: 56.29%
+[ Fri Sep  2 13:25:50 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:25:50 2022 ] Training epoch: 55
+[ Fri Sep  2 13:27:03 2022 ] 	Training loss: 1.4595.  Training acc: 76.03%.
+[ Fri Sep  2 13:27:03 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:27:03 2022 ] Eval epoch: 55
+[ Fri Sep  2 13:29:06 2022 ] 	Mean test loss of 625 batches: 2.850185.
+[ Fri Sep  2 13:29:06 2022 ] 	Top1: 33.69%
+[ Fri Sep  2 13:29:06 2022 ] 	Top5: 72.92%
+[ Fri Sep  2 13:29:06 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:29:06 2022 ] Training epoch: 56
+[ Fri Sep  2 13:30:19 2022 ] 	Training loss: 1.4528.  Training acc: 76.31%.
+[ Fri Sep  2 13:30:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:30:19 2022 ] Eval epoch: 56
+[ Fri Sep  2 13:32:09 2022 ] 	Mean test loss of 625 batches: 2.851066.
+[ Fri Sep  2 13:32:09 2022 ] 	Top1: 33.65%
+[ Fri Sep  2 13:32:09 2022 ] 	Top5: 75.13%
+[ Fri Sep  2 13:32:09 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:32:09 2022 ] Training epoch: 57
+[ Fri Sep  2 13:33:29 2022 ] 	Training loss: 1.4517.  Training acc: 76.33%.
+[ Fri Sep  2 13:33:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:33:29 2022 ] Eval epoch: 57
+[ Fri Sep  2 13:35:20 2022 ] 	Mean test loss of 625 batches: 3.086343.
+[ Fri Sep  2 13:35:20 2022 ] 	Top1: 33.27%
+[ Fri Sep  2 13:35:21 2022 ] 	Top5: 69.28%
+[ Fri Sep  2 13:35:21 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:35:21 2022 ] Training epoch: 58
+[ Fri Sep  2 13:36:39 2022 ] 	Training loss: 1.4511.  Training acc: 76.28%.
+[ Fri Sep  2 13:36:39 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:36:40 2022 ] Eval epoch: 58
+[ Fri Sep  2 13:38:12 2022 ] 	Mean test loss of 625 batches: 3.025331.
+[ Fri Sep  2 13:38:12 2022 ] 	Top1: 31.76%
+[ Fri Sep  2 13:38:12 2022 ] 	Top5: 67.54%
+[ Fri Sep  2 13:38:13 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:38:13 2022 ] Training epoch: 59
+[ Fri Sep  2 13:39:32 2022 ] 	Training loss: 1.4260.  Training acc: 76.69%.
+[ Fri Sep  2 13:39:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:39:32 2022 ] Eval epoch: 59
+[ Fri Sep  2 13:41:07 2022 ] 	Mean test loss of 625 batches: 2.859594.
+[ Fri Sep  2 13:41:07 2022 ] 	Top1: 33.21%
+[ Fri Sep  2 13:41:07 2022 ] 	Top5: 71.35%
+[ Fri Sep  2 13:41:07 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:41:07 2022 ] Training epoch: 60
+[ Fri Sep  2 13:42:29 2022 ] 	Training loss: 1.4331.  Training acc: 77.50%.
+[ Fri Sep  2 13:42:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:42:29 2022 ] Eval epoch: 60
+[ Fri Sep  2 13:43:54 2022 ] 	Mean test loss of 625 batches: 2.881262.
+[ Fri Sep  2 13:43:54 2022 ] 	Top1: 34.43%
+[ Fri Sep  2 13:43:55 2022 ] 	Top5: 70.00%
+[ Fri Sep  2 13:43:55 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:43:55 2022 ] Training epoch: 61
+[ Fri Sep  2 13:45:25 2022 ] 	Training loss: 1.4363.  Training acc: 76.55%.
+[ Fri Sep  2 13:45:25 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:45:25 2022 ] Eval epoch: 61
+[ Fri Sep  2 13:46:37 2022 ] 	Mean test loss of 625 batches: 3.096893.
+[ Fri Sep  2 13:46:37 2022 ] 	Top1: 30.93%
+[ Fri Sep  2 13:46:37 2022 ] 	Top5: 72.35%
+[ Fri Sep  2 13:46:37 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:46:37 2022 ] Training epoch: 62
+[ Fri Sep  2 13:48:09 2022 ] 	Training loss: 1.4287.  Training acc: 76.96%.
+[ Fri Sep  2 13:48:09 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:48:09 2022 ] Eval epoch: 62
+[ Fri Sep  2 13:49:16 2022 ] 	Mean test loss of 625 batches: 2.976167.
+[ Fri Sep  2 13:49:16 2022 ] 	Top1: 34.21%
+[ Fri Sep  2 13:49:16 2022 ] 	Top5: 72.13%
+[ Fri Sep  2 13:49:17 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:49:17 2022 ] Training epoch: 63
+[ Fri Sep  2 13:50:56 2022 ] 	Training loss: 1.4096.  Training acc: 77.40%.
+[ Fri Sep  2 13:50:56 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:50:56 2022 ] Eval epoch: 63
+[ Fri Sep  2 13:52:06 2022 ] 	Mean test loss of 625 batches: 2.433653.
+[ Fri Sep  2 13:52:06 2022 ] 	Top1: 41.74%
+[ Fri Sep  2 13:52:06 2022 ] 	Top5: 81.18%
+[ Fri Sep  2 13:52:06 2022 ] 	Best acc: 42.97.
+[ Fri Sep  2 13:52:06 2022 ] Training epoch: 64
+[ Fri Sep  2 13:53:35 2022 ] 	Training loss: 1.4142.  Training acc: 77.18%.
+[ Fri Sep  2 13:53:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:53:35 2022 ] Eval epoch: 64
+[ Fri Sep  2 13:55:09 2022 ] 	Mean test loss of 625 batches: 2.136462.
+[ Fri Sep  2 13:55:09 2022 ] 	Top1: 51.33%
+[ Fri Sep  2 13:55:09 2022 ] 	Top5: 85.73%
+[ Fri Sep  2 13:55:10 2022 ] 	Best acc: 51.33.
+[ Fri Sep  2 13:55:10 2022 ] Training epoch: 65
+[ Fri Sep  2 13:56:35 2022 ] 	Training loss: 1.3980.  Training acc: 78.02%.
+[ Fri Sep  2 13:56:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:56:35 2022 ] Eval epoch: 65
+[ Fri Sep  2 13:58:12 2022 ] 	Mean test loss of 625 batches: 2.658482.
+[ Fri Sep  2 13:58:12 2022 ] 	Top1: 38.31%
+[ Fri Sep  2 13:58:12 2022 ] 	Top5: 78.43%
+[ Fri Sep  2 13:58:12 2022 ] 	Best acc: 51.33.
+[ Fri Sep  2 13:58:12 2022 ] Training epoch: 66
+[ Fri Sep  2 13:59:35 2022 ] 	Training loss: 1.4100.  Training acc: 77.65%.
+[ Fri Sep  2 13:59:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:59:35 2022 ] Eval epoch: 66
+[ Fri Sep  2 14:01:16 2022 ] 	Mean test loss of 625 batches: 2.423023.
+[ Fri Sep  2 14:01:16 2022 ] 	Top1: 45.93%
+[ Fri Sep  2 14:01:17 2022 ] 	Top5: 84.48%
+[ Fri Sep  2 14:01:17 2022 ] 	Best acc: 51.33.
+[ Fri Sep  2 14:01:17 2022 ] Training epoch: 67
+[ Fri Sep  2 14:02:31 2022 ] 	Training loss: 1.3836.  Training acc: 78.30%.
+[ Fri Sep  2 14:02:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:02:31 2022 ] Eval epoch: 67
+[ Fri Sep  2 14:04:22 2022 ] 	Mean test loss of 625 batches: 2.175900.
+[ Fri Sep  2 14:04:22 2022 ] 	Top1: 49.35%
+[ Fri Sep  2 14:04:22 2022 ] 	Top5: 85.95%
+[ Fri Sep  2 14:04:22 2022 ] 	Best acc: 51.33.
+[ Fri Sep  2 14:04:22 2022 ] Training epoch: 68
+[ Fri Sep  2 14:05:34 2022 ] 	Training loss: 1.4055.  Training acc: 77.10%.
+[ Fri Sep  2 14:05:34 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:05:34 2022 ] Eval epoch: 68
+[ Fri Sep  2 14:07:30 2022 ] 	Mean test loss of 625 batches: 2.186881.
+[ Fri Sep  2 14:07:31 2022 ] 	Top1: 49.98%
+[ Fri Sep  2 14:07:31 2022 ] 	Top5: 85.55%
+[ Fri Sep  2 14:07:31 2022 ] 	Best acc: 51.33.
+[ Fri Sep  2 14:07:31 2022 ] Training epoch: 69
+[ Fri Sep  2 14:08:45 2022 ] 	Training loss: 1.3891.  Training acc: 77.99%.
+[ Fri Sep  2 14:08:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:08:45 2022 ] Eval epoch: 69
+[ Fri Sep  2 14:10:10 2022 ] 	Mean test loss of 625 batches: 2.147933.
+[ Fri Sep  2 14:10:10 2022 ] 	Top1: 49.16%
+[ Fri Sep  2 14:10:11 2022 ] 	Top5: 86.97%
+[ Fri Sep  2 14:10:11 2022 ] 	Best acc: 51.33.
+[ Fri Sep  2 14:10:11 2022 ] Training epoch: 70
+[ Fri Sep  2 14:11:12 2022 ] 	Training loss: 1.3884.  Training acc: 78.76%.
+[ Fri Sep  2 14:11:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:11:12 2022 ] Eval epoch: 70
+[ Fri Sep  2 14:12:25 2022 ] 	Mean test loss of 625 batches: 2.203108.
+[ Fri Sep  2 14:12:26 2022 ] 	Top1: 52.30%
+[ Fri Sep  2 14:12:26 2022 ] 	Top5: 86.27%
+[ Fri Sep  2 14:12:26 2022 ] 	Best acc: 52.30.
+[ Fri Sep  2 14:12:26 2022 ] Training epoch: 71
+[ Fri Sep  2 14:13:11 2022 ] 	Training loss: 1.3814.  Training acc: 78.16%.
+[ Fri Sep  2 14:13:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:13:11 2022 ] Eval epoch: 71
+[ Fri Sep  2 14:13:47 2022 ] 	Mean test loss of 625 batches: 2.365915.
+[ Fri Sep  2 14:13:47 2022 ] 	Top1: 45.50%
+[ Fri Sep  2 14:13:47 2022 ] 	Top5: 84.36%
+[ Fri Sep  2 14:13:47 2022 ] 	Best acc: 52.30.
+[ Fri Sep  2 14:13:47 2022 ] Training epoch: 72
+[ Fri Sep  2 14:14:32 2022 ] 	Training loss: 1.3916.  Training acc: 78.24%.
+[ Fri Sep  2 14:14:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:14:32 2022 ] Eval epoch: 72
+[ Fri Sep  2 14:15:27 2022 ] 	Mean test loss of 625 batches: 2.241673.
+[ Fri Sep  2 14:15:27 2022 ] 	Top1: 48.69%
+[ Fri Sep  2 14:15:27 2022 ] 	Top5: 84.68%
+[ Fri Sep  2 14:15:27 2022 ] 	Best acc: 52.30.
+[ Fri Sep  2 14:15:27 2022 ] Training epoch: 73
+[ Fri Sep  2 14:16:09 2022 ] 	Training loss: 1.3877.  Training acc: 78.35%.
+[ Fri Sep  2 14:16:09 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:16:09 2022 ] Eval epoch: 73
+[ Fri Sep  2 14:16:36 2022 ] 	Mean test loss of 625 batches: 2.092774.
+[ Fri Sep  2 14:16:36 2022 ] 	Top1: 51.79%
+[ Fri Sep  2 14:16:36 2022 ] 	Top5: 88.09%
+[ Fri Sep  2 14:16:36 2022 ] 	Best acc: 52.30.
+[ Fri Sep  2 14:16:36 2022 ] Training epoch: 74
+[ Fri Sep  2 14:17:18 2022 ] 	Training loss: 1.3798.  Training acc: 78.95%.
+[ Fri Sep  2 14:17:18 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:17:18 2022 ] Eval epoch: 74
+[ Fri Sep  2 14:17:44 2022 ] 	Mean test loss of 625 batches: 2.192841.
+[ Fri Sep  2 14:17:44 2022 ] 	Top1: 51.58%
+[ Fri Sep  2 14:17:44 2022 ] 	Top5: 86.78%
+[ Fri Sep  2 14:17:44 2022 ] 	Best acc: 52.30.
+[ Fri Sep  2 14:17:44 2022 ] Training epoch: 75
+[ Fri Sep  2 14:18:26 2022 ] 	Training loss: 1.3842.  Training acc: 78.49%.
+[ Fri Sep  2 14:18:26 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:18:26 2022 ] Eval epoch: 75
+[ Fri Sep  2 14:18:52 2022 ] 	Mean test loss of 625 batches: 2.062938.
+[ Fri Sep  2 14:18:52 2022 ] 	Top1: 52.83%
+[ Fri Sep  2 14:18:53 2022 ] 	Top5: 87.76%
+[ Fri Sep  2 14:18:53 2022 ] 	Best acc: 52.83.
+[ Fri Sep  2 14:18:53 2022 ] Training epoch: 76
+[ Fri Sep  2 14:19:35 2022 ] 	Training loss: 1.3908.  Training acc: 78.18%.
+[ Fri Sep  2 14:19:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:19:35 2022 ] Eval epoch: 76
+[ Fri Sep  2 14:20:01 2022 ] 	Mean test loss of 625 batches: 2.332071.
+[ Fri Sep  2 14:20:01 2022 ] 	Top1: 50.80%
+[ Fri Sep  2 14:20:01 2022 ] 	Top5: 85.16%
+[ Fri Sep  2 14:20:01 2022 ] 	Best acc: 52.83.
+[ Fri Sep  2 14:20:01 2022 ] Training epoch: 77
+[ Fri Sep  2 14:20:43 2022 ] 	Training loss: 1.4362.  Training acc: 75.88%.
+[ Fri Sep  2 14:20:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:20:43 2022 ] Eval epoch: 77
+[ Fri Sep  2 14:21:09 2022 ] 	Mean test loss of 625 batches: 2.266415.
+[ Fri Sep  2 14:21:10 2022 ] 	Top1: 47.57%
+[ Fri Sep  2 14:21:10 2022 ] 	Top5: 84.47%
+[ Fri Sep  2 14:21:10 2022 ] 	Best acc: 52.83.
+[ Fri Sep  2 14:21:10 2022 ] Training epoch: 78
+[ Fri Sep  2 14:21:52 2022 ] 	Training loss: 1.4504.  Training acc: 75.95%.
+[ Fri Sep  2 14:21:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:21:52 2022 ] Eval epoch: 78
+[ Fri Sep  2 14:22:16 2022 ] 	Mean test loss of 625 batches: 2.375611.
+[ Fri Sep  2 14:22:16 2022 ] 	Top1: 44.84%
+[ Fri Sep  2 14:22:16 2022 ] 	Top5: 81.45%
+[ Fri Sep  2 14:22:16 2022 ] 	Best acc: 52.83.
+[ Fri Sep  2 14:22:16 2022 ] Training epoch: 79
+[ Fri Sep  2 14:22:59 2022 ] 	Training loss: 1.4380.  Training acc: 76.89%.
+[ Fri Sep  2 14:22:59 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:22:59 2022 ] Eval epoch: 79
+[ Fri Sep  2 14:23:25 2022 ] 	Mean test loss of 625 batches: 2.205972.
+[ Fri Sep  2 14:23:25 2022 ] 	Top1: 49.41%
+[ Fri Sep  2 14:23:25 2022 ] 	Top5: 86.09%
+[ Fri Sep  2 14:23:25 2022 ] 	Best acc: 52.83.
+[ Fri Sep  2 14:23:25 2022 ] Training epoch: 80
+[ Fri Sep  2 14:24:09 2022 ] 	Training loss: 1.4461.  Training acc: 76.07%.
+[ Fri Sep  2 14:24:09 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:24:09 2022 ] Eval epoch: 80
+[ Fri Sep  2 14:24:36 2022 ] 	Mean test loss of 625 batches: 2.306979.
+[ Fri Sep  2 14:24:37 2022 ] 	Top1: 47.18%
+[ Fri Sep  2 14:24:37 2022 ] 	Top5: 84.72%
+[ Fri Sep  2 14:24:37 2022 ] 	Best acc: 52.83.
+[ Fri Sep  2 14:24:37 2022 ] Training epoch: 81
+[ Fri Sep  2 14:25:19 2022 ] 	Training loss: 1.4168.  Training acc: 77.57%.
+[ Fri Sep  2 14:25:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:25:19 2022 ] Eval epoch: 81
+[ Fri Sep  2 14:25:43 2022 ] 	Mean test loss of 625 batches: 2.195450.
+[ Fri Sep  2 14:25:43 2022 ] 	Top1: 48.58%
+[ Fri Sep  2 14:25:43 2022 ] 	Top5: 84.70%
+[ Fri Sep  2 14:25:43 2022 ] 	Best acc: 52.83.
+[ Fri Sep  2 14:25:43 2022 ] Training epoch: 82
+[ Fri Sep  2 14:26:25 2022 ] 	Training loss: 1.4097.  Training acc: 77.44%.
+[ Fri Sep  2 14:26:25 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:26:25 2022 ] Eval epoch: 82
+[ Fri Sep  2 14:26:50 2022 ] 	Mean test loss of 625 batches: 2.280243.
+[ Fri Sep  2 14:26:51 2022 ] 	Top1: 46.88%
+[ Fri Sep  2 14:26:51 2022 ] 	Top5: 84.53%
+[ Fri Sep  2 14:26:51 2022 ] 	Best acc: 52.83.
+[ Fri Sep  2 14:26:51 2022 ] Training epoch: 83
+[ Fri Sep  2 14:27:32 2022 ] 	Training loss: 1.3785.  Training acc: 78.43%.
+[ Fri Sep  2 14:27:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:27:32 2022 ] Eval epoch: 83
+[ Fri Sep  2 14:27:57 2022 ] 	Mean test loss of 625 batches: 2.068133.
+[ Fri Sep  2 14:27:57 2022 ] 	Top1: 54.33%
+[ Fri Sep  2 14:27:57 2022 ] 	Top5: 88.29%
+[ Fri Sep  2 14:27:57 2022 ] 	Best acc: 54.33.
+[ Fri Sep  2 14:27:57 2022 ] Training epoch: 84
+[ Fri Sep  2 14:28:40 2022 ] 	Training loss: 1.3717.  Training acc: 78.52%.
+[ Fri Sep  2 14:28:40 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:28:40 2022 ] Eval epoch: 84
+[ Fri Sep  2 14:29:05 2022 ] 	Mean test loss of 625 batches: 2.217824.
+[ Fri Sep  2 14:29:05 2022 ] 	Top1: 50.56%
+[ Fri Sep  2 14:29:05 2022 ] 	Top5: 86.45%
+[ Fri Sep  2 14:29:05 2022 ] 	Best acc: 54.33.
+[ Fri Sep  2 14:29:05 2022 ] Training epoch: 85
+[ Fri Sep  2 14:29:47 2022 ] 	Training loss: 1.3409.  Training acc: 79.64%.
+[ Fri Sep  2 14:29:47 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:29:47 2022 ] Eval epoch: 85
+[ Fri Sep  2 14:30:14 2022 ] 	Mean test loss of 625 batches: 2.073488.
+[ Fri Sep  2 14:30:14 2022 ] 	Top1: 54.22%
+[ Fri Sep  2 14:30:14 2022 ] 	Top5: 88.48%
+[ Fri Sep  2 14:30:14 2022 ] 	Best acc: 54.33.
+[ Fri Sep  2 14:30:14 2022 ] Training epoch: 86
+[ Fri Sep  2 14:30:56 2022 ] 	Training loss: 1.3866.  Training acc: 78.28%.
+[ Fri Sep  2 14:30:56 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:30:56 2022 ] Eval epoch: 86
+[ Fri Sep  2 14:31:22 2022 ] 	Mean test loss of 625 batches: 2.188887.
+[ Fri Sep  2 14:31:22 2022 ] 	Top1: 49.65%
+[ Fri Sep  2 14:31:22 2022 ] 	Top5: 85.72%
+[ Fri Sep  2 14:31:22 2022 ] 	Best acc: 54.33.
+[ Fri Sep  2 14:31:22 2022 ] Training epoch: 87
+[ Fri Sep  2 14:32:04 2022 ] 	Training loss: 1.3410.  Training acc: 79.54%.
+[ Fri Sep  2 14:32:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:32:04 2022 ] Eval epoch: 87
+[ Fri Sep  2 14:32:30 2022 ] 	Mean test loss of 625 batches: 2.122761.
+[ Fri Sep  2 14:32:30 2022 ] 	Top1: 53.10%
+[ Fri Sep  2 14:32:30 2022 ] 	Top5: 88.45%
+[ Fri Sep  2 14:32:30 2022 ] 	Best acc: 54.33.
+[ Fri Sep  2 14:32:30 2022 ] Training epoch: 88
+[ Fri Sep  2 14:33:14 2022 ] 	Training loss: 1.3347.  Training acc: 80.36%.
+[ Fri Sep  2 14:33:14 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:33:14 2022 ] Eval epoch: 88
+[ Fri Sep  2 14:33:43 2022 ] 	Mean test loss of 625 batches: 2.177425.
+[ Fri Sep  2 14:33:43 2022 ] 	Top1: 50.94%
+[ Fri Sep  2 14:33:43 2022 ] 	Top5: 86.15%
+[ Fri Sep  2 14:33:43 2022 ] 	Best acc: 54.33.
+[ Fri Sep  2 14:33:43 2022 ] Training epoch: 89
+[ Fri Sep  2 14:34:26 2022 ] 	Training loss: 1.3242.  Training acc: 80.72%.
+[ Fri Sep  2 14:34:26 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:34:26 2022 ] Eval epoch: 89
+[ Fri Sep  2 14:34:52 2022 ] 	Mean test loss of 625 batches: 2.072139.
+[ Fri Sep  2 14:34:52 2022 ] 	Top1: 53.68%
+[ Fri Sep  2 14:34:53 2022 ] 	Top5: 88.09%
+[ Fri Sep  2 14:34:53 2022 ] 	Best acc: 54.33.
+[ Fri Sep  2 14:34:53 2022 ] Training epoch: 90
+[ Fri Sep  2 14:35:38 2022 ] 	Training loss: 1.3203.  Training acc: 80.77%.
+[ Fri Sep  2 14:35:38 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:35:38 2022 ] Eval epoch: 90
+[ Fri Sep  2 14:36:03 2022 ] 	Mean test loss of 625 batches: 2.252843.
+[ Fri Sep  2 14:36:03 2022 ] 	Top1: 48.86%
+[ Fri Sep  2 14:36:04 2022 ] 	Top5: 87.05%
+[ Fri Sep  2 14:36:04 2022 ] 	Best acc: 54.33.
+[ Fri Sep  2 14:36:04 2022 ] Training epoch: 91
+[ Fri Sep  2 14:36:46 2022 ] 	Training loss: 1.1812.  Training acc: 85.95%.
+[ Fri Sep  2 14:36:46 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:36:46 2022 ] Eval epoch: 91
+[ Fri Sep  2 14:37:12 2022 ] 	Mean test loss of 625 batches: 1.822806.
+[ Fri Sep  2 14:37:12 2022 ] 	Top1: 61.72%
+[ Fri Sep  2 14:37:12 2022 ] 	Top5: 92.07%
+[ Fri Sep  2 14:37:12 2022 ] 	Best acc: 61.72.
+[ Fri Sep  2 14:37:12 2022 ] Training epoch: 92
+[ Fri Sep  2 14:37:56 2022 ] 	Training loss: 1.1204.  Training acc: 87.64%.
+[ Fri Sep  2 14:37:56 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:37:56 2022 ] Eval epoch: 92
+[ Fri Sep  2 14:38:20 2022 ] 	Mean test loss of 625 batches: 1.796035.
+[ Fri Sep  2 14:38:20 2022 ] 	Top1: 62.39%
+[ Fri Sep  2 14:38:20 2022 ] 	Top5: 92.30%
+[ Fri Sep  2 14:38:20 2022 ] 	Best acc: 62.39.
+[ Fri Sep  2 14:38:20 2022 ] Training epoch: 93
+[ Fri Sep  2 14:39:06 2022 ] 	Training loss: 1.0949.  Training acc: 89.11%.
+[ Fri Sep  2 14:39:06 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:39:06 2022 ] Eval epoch: 93
+[ Fri Sep  2 14:39:30 2022 ] 	Mean test loss of 625 batches: 1.773344.
+[ Fri Sep  2 14:39:30 2022 ] 	Top1: 63.86%
+[ Fri Sep  2 14:39:30 2022 ] 	Top5: 92.80%
+[ Fri Sep  2 14:39:30 2022 ] 	Best acc: 63.86.
+[ Fri Sep  2 14:39:30 2022 ] Training epoch: 94
+[ Fri Sep  2 14:40:12 2022 ] 	Training loss: 1.0748.  Training acc: 89.85%.
+[ Fri Sep  2 14:40:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:40:12 2022 ] Eval epoch: 94
+[ Fri Sep  2 14:40:38 2022 ] 	Mean test loss of 625 batches: 1.752076.
+[ Fri Sep  2 14:40:38 2022 ] 	Top1: 64.43%
+[ Fri Sep  2 14:40:38 2022 ] 	Top5: 92.89%
+[ Fri Sep  2 14:40:38 2022 ] 	Best acc: 64.43.
+[ Fri Sep  2 14:40:38 2022 ] Training epoch: 95
+[ Fri Sep  2 14:41:21 2022 ] 	Training loss: 1.0653.  Training acc: 90.13%.
+[ Fri Sep  2 14:41:21 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:41:21 2022 ] Eval epoch: 95
+[ Fri Sep  2 14:41:44 2022 ] 	Mean test loss of 625 batches: 1.772827.
+[ Fri Sep  2 14:41:44 2022 ] 	Top1: 64.32%
+[ Fri Sep  2 14:41:44 2022 ] 	Top5: 92.59%
+[ Fri Sep  2 14:41:44 2022 ] 	Best acc: 64.43.
+[ Fri Sep  2 14:41:44 2022 ] Training epoch: 96
+[ Fri Sep  2 14:42:27 2022 ] 	Training loss: 1.0521.  Training acc: 90.76%.
+[ Fri Sep  2 14:42:27 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:42:27 2022 ] Eval epoch: 96
+[ Fri Sep  2 14:42:51 2022 ] 	Mean test loss of 625 batches: 1.746912.
+[ Fri Sep  2 14:42:51 2022 ] 	Top1: 65.39%
+[ Fri Sep  2 14:42:51 2022 ] 	Top5: 93.00%
+[ Fri Sep  2 14:42:51 2022 ] 	Best acc: 65.39.
+[ Fri Sep  2 14:42:51 2022 ] Training epoch: 97
+[ Fri Sep  2 14:43:33 2022 ] 	Training loss: 1.0433.  Training acc: 91.07%.
+[ Fri Sep  2 14:43:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:43:33 2022 ] Eval epoch: 97
+[ Fri Sep  2 14:43:57 2022 ] 	Mean test loss of 625 batches: 1.747856.
+[ Fri Sep  2 14:43:58 2022 ] 	Top1: 65.57%
+[ Fri Sep  2 14:43:58 2022 ] 	Top5: 93.04%
+[ Fri Sep  2 14:43:58 2022 ] 	Best acc: 65.57.
+[ Fri Sep  2 14:43:58 2022 ] Training epoch: 98
+[ Fri Sep  2 14:44:41 2022 ] 	Training loss: 1.0315.  Training acc: 91.44%.
+[ Fri Sep  2 14:44:41 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:44:41 2022 ] Eval epoch: 98
+[ Fri Sep  2 14:45:03 2022 ] 	Mean test loss of 625 batches: 1.765200.
+[ Fri Sep  2 14:45:03 2022 ] 	Top1: 64.90%
+[ Fri Sep  2 14:45:03 2022 ] 	Top5: 92.55%
+[ Fri Sep  2 14:45:03 2022 ] 	Best acc: 65.57.
+[ Fri Sep  2 14:45:03 2022 ] Training epoch: 99
+[ Fri Sep  2 14:45:45 2022 ] 	Training loss: 1.0307.  Training acc: 91.83%.
+[ Fri Sep  2 14:45:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:45:45 2022 ] Eval epoch: 99
+[ Fri Sep  2 14:46:09 2022 ] 	Mean test loss of 625 batches: 1.730415.
+[ Fri Sep  2 14:46:09 2022 ] 	Top1: 66.59%
+[ Fri Sep  2 14:46:09 2022 ] 	Top5: 93.12%
+[ Fri Sep  2 14:46:09 2022 ] 	Best acc: 66.59.
+[ Fri Sep  2 14:46:09 2022 ] Training epoch: 100
+[ Fri Sep  2 14:46:52 2022 ] 	Training loss: 1.0202.  Training acc: 92.26%.
+[ Fri Sep  2 14:46:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:46:52 2022 ] Eval epoch: 100
+[ Fri Sep  2 14:47:14 2022 ] 	Mean test loss of 625 batches: 1.744969.
+[ Fri Sep  2 14:47:14 2022 ] 	Top1: 65.91%
+[ Fri Sep  2 14:47:14 2022 ] 	Top5: 92.62%
+[ Fri Sep  2 14:47:14 2022 ] 	Best acc: 66.59.
+[ Fri Sep  2 14:47:14 2022 ] Training epoch: 101
+[ Fri Sep  2 14:47:58 2022 ] 	Training loss: 1.0048.  Training acc: 92.80%.
+[ Fri Sep  2 14:47:58 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:47:58 2022 ] Eval epoch: 101
+[ Fri Sep  2 14:48:20 2022 ] 	Mean test loss of 625 batches: 1.735942.
+[ Fri Sep  2 14:48:20 2022 ] 	Top1: 66.34%
+[ Fri Sep  2 14:48:20 2022 ] 	Top5: 92.82%
+[ Fri Sep  2 14:48:20 2022 ] 	Best acc: 66.59.
+[ Fri Sep  2 14:48:20 2022 ] Training epoch: 102
+[ Fri Sep  2 14:49:03 2022 ] 	Training loss: 0.9975.  Training acc: 93.23%.
+[ Fri Sep  2 14:49:03 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:49:03 2022 ] Eval epoch: 102
+[ Fri Sep  2 14:49:25 2022 ] 	Mean test loss of 625 batches: 1.739894.
+[ Fri Sep  2 14:49:25 2022 ] 	Top1: 65.86%
+[ Fri Sep  2 14:49:25 2022 ] 	Top5: 93.01%
+[ Fri Sep  2 14:49:25 2022 ] 	Best acc: 66.59.
+[ Fri Sep  2 14:49:25 2022 ] Training epoch: 103
+[ Fri Sep  2 14:50:07 2022 ] 	Training loss: 0.9989.  Training acc: 93.28%.
+[ Fri Sep  2 14:50:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:50:07 2022 ] Eval epoch: 103
+[ Fri Sep  2 14:50:31 2022 ] 	Mean test loss of 625 batches: 1.737391.
+[ Fri Sep  2 14:50:31 2022 ] 	Top1: 66.42%
+[ Fri Sep  2 14:50:31 2022 ] 	Top5: 92.94%
+[ Fri Sep  2 14:50:31 2022 ] 	Best acc: 66.59.
+[ Fri Sep  2 14:50:31 2022 ] Training epoch: 104
+[ Fri Sep  2 14:51:15 2022 ] 	Training loss: 0.9870.  Training acc: 93.90%.
+[ Fri Sep  2 14:51:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:51:15 2022 ] Eval epoch: 104
+[ Fri Sep  2 14:51:37 2022 ] 	Mean test loss of 625 batches: 1.739913.
+[ Fri Sep  2 14:51:37 2022 ] 	Top1: 66.30%
+[ Fri Sep  2 14:51:37 2022 ] 	Top5: 92.89%
+[ Fri Sep  2 14:51:37 2022 ] 	Best acc: 66.59.
+[ Fri Sep  2 14:51:37 2022 ] Training epoch: 105
+[ Fri Sep  2 14:52:19 2022 ] 	Training loss: 0.9936.  Training acc: 93.38%.
+[ Fri Sep  2 14:52:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:52:19 2022 ] Eval epoch: 105
+[ Fri Sep  2 14:52:41 2022 ] 	Mean test loss of 625 batches: 1.737459.
+[ Fri Sep  2 14:52:41 2022 ] 	Top1: 66.43%
+[ Fri Sep  2 14:52:41 2022 ] 	Top5: 92.94%
+[ Fri Sep  2 14:52:41 2022 ] 	Best acc: 66.59.
+[ Fri Sep  2 14:52:41 2022 ] Training epoch: 106
+[ Fri Sep  2 14:53:24 2022 ] 	Training loss: 0.9866.  Training acc: 93.61%.
+[ Fri Sep  2 14:53:24 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:53:24 2022 ] Eval epoch: 106
+[ Fri Sep  2 14:53:45 2022 ] 	Mean test loss of 625 batches: 1.752503.
+[ Fri Sep  2 14:53:45 2022 ] 	Top1: 65.72%
+[ Fri Sep  2 14:53:45 2022 ] 	Top5: 92.78%
+[ Fri Sep  2 14:53:45 2022 ] 	Best acc: 66.59.
+[ Fri Sep  2 14:53:45 2022 ] Training epoch: 107
+[ Fri Sep  2 14:54:27 2022 ] 	Training loss: 0.9888.  Training acc: 93.42%.
+[ Fri Sep  2 14:54:27 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:54:27 2022 ] Eval epoch: 107
+[ Fri Sep  2 14:54:48 2022 ] 	Mean test loss of 625 batches: 1.742059.
+[ Fri Sep  2 14:54:48 2022 ] 	Top1: 66.14%
+[ Fri Sep  2 14:54:48 2022 ] 	Top5: 92.90%
+[ Fri Sep  2 14:54:48 2022 ] 	Best acc: 66.59.
+[ Fri Sep  2 14:54:48 2022 ] Training epoch: 108
+[ Fri Sep  2 14:55:30 2022 ] 	Training loss: 0.9870.  Training acc: 93.74%.
+[ Fri Sep  2 14:55:30 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:55:30 2022 ] Eval epoch: 108
+[ Fri Sep  2 14:55:51 2022 ] 	Mean test loss of 625 batches: 1.745147.
+[ Fri Sep  2 14:55:51 2022 ] 	Top1: 65.95%
+[ Fri Sep  2 14:55:52 2022 ] 	Top5: 92.93%
+[ Fri Sep  2 14:55:52 2022 ] 	Best acc: 66.59.
+[ Fri Sep  2 14:55:52 2022 ] Training epoch: 109
+[ Fri Sep  2 14:56:35 2022 ] 	Training loss: 0.9846.  Training acc: 93.64%.
+[ Fri Sep  2 14:56:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:56:35 2022 ] Eval epoch: 109
+[ Fri Sep  2 14:56:56 2022 ] 	Mean test loss of 625 batches: 1.736236.
+[ Fri Sep  2 14:56:56 2022 ] 	Top1: 66.39%
+[ Fri Sep  2 14:56:56 2022 ] 	Top5: 92.96%
+[ Fri Sep  2 14:56:56 2022 ] 	Best acc: 66.59.
+[ Fri Sep  2 14:56:56 2022 ] Training epoch: 110
+[ Fri Sep  2 14:57:39 2022 ] 	Training loss: 0.9854.  Training acc: 93.79%.
+[ Fri Sep  2 14:57:39 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:57:39 2022 ] Eval epoch: 110
+[ Fri Sep  2 14:58:00 2022 ] 	Mean test loss of 625 batches: 1.733797.
+[ Fri Sep  2 14:58:00 2022 ] 	Top1: 66.51%
+[ Fri Sep  2 14:58:00 2022 ] 	Top5: 92.93%
+[ Fri Sep  2 14:58:00 2022 ] 	Best acc: 66.59.

ckpt/Others/InfoGCN/ntu_60_xsub_LT/bm/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00157e966dccdb879983b00e4115f94a3dc126fb789c5ff5bb22c7903f4f3a67
+size 4655494

ckpt/Others/InfoGCN/ntu_60_xsub_LT/bm/log.txt

@@ -0,0 +1,885 @@
+[ Fri Sep  2 10:46:01 2022 ] using warm up, epoch: 5
+[ Fri Sep  2 10:46:09 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 60, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu/NTU60_CS_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': True, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_60_xsub_LT_1/bm', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 1, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 64, 'test_batch_size': 64, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Fri Sep  2 10:46:09 2022 ] # Parameters: 1556807
+[ Fri Sep  2 10:46:09 2022 ] Training epoch: 1
+[ Fri Sep  2 10:47:04 2022 ] 	Training loss: 6.6453.  Training acc: 8.09%.
+[ Fri Sep  2 10:47:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 10:47:04 2022 ] Eval epoch: 1
+[ Fri Sep  2 10:48:52 2022 ] 	Mean test loss of 625 batches: 8.940376.
+[ Fri Sep  2 10:48:52 2022 ] 	Top1: 1.69%
+[ Fri Sep  2 10:48:52 2022 ] 	Top5: 8.58%
+[ Fri Sep  2 10:48:52 2022 ] 	Best acc: 1.69.
+[ Fri Sep  2 10:48:52 2022 ] Training epoch: 2
+[ Fri Sep  2 10:49:57 2022 ] 	Training loss: 3.8964.  Training acc: 11.61%.
+[ Fri Sep  2 10:49:57 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 10:49:57 2022 ] Eval epoch: 2
+[ Fri Sep  2 10:51:40 2022 ] 	Mean test loss of 625 batches: 9.420804.
+[ Fri Sep  2 10:51:40 2022 ] 	Top1: 2.07%
+[ Fri Sep  2 10:51:40 2022 ] 	Top5: 9.04%
+[ Fri Sep  2 10:51:40 2022 ] 	Best acc: 2.07.
+[ Fri Sep  2 10:51:40 2022 ] Training epoch: 3
+[ Fri Sep  2 10:53:00 2022 ] 	Training loss: 3.2972.  Training acc: 16.72%.
+[ Fri Sep  2 10:53:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 10:53:00 2022 ] Eval epoch: 3
+[ Fri Sep  2 10:54:49 2022 ] 	Mean test loss of 625 batches: 5.721884.
+[ Fri Sep  2 10:54:49 2022 ] 	Top1: 3.11%
+[ Fri Sep  2 10:54:49 2022 ] 	Top5: 11.27%
+[ Fri Sep  2 10:54:50 2022 ] 	Best acc: 3.11.
+[ Fri Sep  2 10:54:50 2022 ] Training epoch: 4
+[ Fri Sep  2 10:56:03 2022 ] 	Training loss: 3.0695.  Training acc: 22.80%.
+[ Fri Sep  2 10:56:03 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 10:56:03 2022 ] Eval epoch: 4
+[ Fri Sep  2 10:57:32 2022 ] 	Mean test loss of 625 batches: 40.314274.
+[ Fri Sep  2 10:57:32 2022 ] 	Top1: 2.79%
+[ Fri Sep  2 10:57:32 2022 ] 	Top5: 8.10%
+[ Fri Sep  2 10:57:32 2022 ] 	Best acc: 3.11.
+[ Fri Sep  2 10:57:32 2022 ] Training epoch: 5
+[ Fri Sep  2 10:58:54 2022 ] 	Training loss: 2.8725.  Training acc: 28.76%.
+[ Fri Sep  2 10:58:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 10:58:54 2022 ] Eval epoch: 5
+[ Fri Sep  2 11:00:28 2022 ] 	Mean test loss of 625 batches: 12.489111.
+[ Fri Sep  2 11:00:28 2022 ] 	Top1: 1.67%
+[ Fri Sep  2 11:00:28 2022 ] 	Top5: 13.26%
+[ Fri Sep  2 11:00:28 2022 ] 	Best acc: 3.11.
+[ Fri Sep  2 11:00:28 2022 ] Training epoch: 6
+[ Fri Sep  2 11:01:41 2022 ] 	Training loss: 2.7203.  Training acc: 33.45%.
+[ Fri Sep  2 11:01:41 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:01:41 2022 ] Eval epoch: 6
+[ Fri Sep  2 11:03:18 2022 ] 	Mean test loss of 625 batches: 6.306926.
+[ Fri Sep  2 11:03:19 2022 ] 	Top1: 4.40%
+[ Fri Sep  2 11:03:19 2022 ] 	Top5: 18.07%
+[ Fri Sep  2 11:03:19 2022 ] 	Best acc: 4.40.
+[ Fri Sep  2 11:03:19 2022 ] Training epoch: 7
+[ Fri Sep  2 11:04:42 2022 ] 	Training loss: 2.5299.  Training acc: 39.84%.
+[ Fri Sep  2 11:04:42 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:04:42 2022 ] Eval epoch: 7
+[ Fri Sep  2 11:06:20 2022 ] 	Mean test loss of 625 batches: 4.739763.
+[ Fri Sep  2 11:06:20 2022 ] 	Top1: 6.16%
+[ Fri Sep  2 11:06:20 2022 ] 	Top5: 21.94%
+[ Fri Sep  2 11:06:20 2022 ] 	Best acc: 6.16.
+[ Fri Sep  2 11:06:20 2022 ] Training epoch: 8
+[ Fri Sep  2 11:07:42 2022 ] 	Training loss: 2.4223.  Training acc: 42.85%.
+[ Fri Sep  2 11:07:42 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:07:42 2022 ] Eval epoch: 8
+[ Fri Sep  2 11:09:08 2022 ] 	Mean test loss of 625 batches: 6.300863.
+[ Fri Sep  2 11:09:08 2022 ] 	Top1: 5.28%
+[ Fri Sep  2 11:09:08 2022 ] 	Top5: 20.53%
+[ Fri Sep  2 11:09:08 2022 ] 	Best acc: 6.16.
+[ Fri Sep  2 11:09:08 2022 ] Training epoch: 9
+[ Fri Sep  2 11:10:38 2022 ] 	Training loss: 2.3382.  Training acc: 45.60%.
+[ Fri Sep  2 11:10:38 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:10:38 2022 ] Eval epoch: 9
+[ Fri Sep  2 11:11:24 2022 ] 	Mean test loss of 625 batches: 4.755837.
+[ Fri Sep  2 11:11:24 2022 ] 	Top1: 9.01%
+[ Fri Sep  2 11:11:24 2022 ] 	Top5: 23.39%
+[ Fri Sep  2 11:11:24 2022 ] 	Best acc: 9.01.
+[ Fri Sep  2 11:11:24 2022 ] Training epoch: 10
+[ Fri Sep  2 11:12:31 2022 ] 	Training loss: 2.3000.  Training acc: 46.67%.
+[ Fri Sep  2 11:12:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:12:31 2022 ] Eval epoch: 10
+[ Fri Sep  2 11:14:13 2022 ] 	Mean test loss of 625 batches: 5.729779.
+[ Fri Sep  2 11:14:13 2022 ] 	Top1: 5.45%
+[ Fri Sep  2 11:14:14 2022 ] 	Top5: 18.09%
+[ Fri Sep  2 11:14:14 2022 ] 	Best acc: 9.01.
+[ Fri Sep  2 11:14:14 2022 ] Training epoch: 11
+[ Fri Sep  2 11:15:31 2022 ] 	Training loss: 2.2526.  Training acc: 47.24%.
+[ Fri Sep  2 11:15:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:15:31 2022 ] Eval epoch: 11
+[ Fri Sep  2 11:16:55 2022 ] 	Mean test loss of 625 batches: 3.902382.
+[ Fri Sep  2 11:16:55 2022 ] 	Top1: 14.24%
+[ Fri Sep  2 11:16:55 2022 ] 	Top5: 35.80%
+[ Fri Sep  2 11:16:55 2022 ] 	Best acc: 14.24.
+[ Fri Sep  2 11:16:55 2022 ] Training epoch: 12
+[ Fri Sep  2 11:18:10 2022 ] 	Training loss: 2.1922.  Training acc: 49.91%.
+[ Fri Sep  2 11:18:10 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:18:10 2022 ] Eval epoch: 12
+[ Fri Sep  2 11:19:53 2022 ] 	Mean test loss of 625 batches: 7.161878.
+[ Fri Sep  2 11:19:53 2022 ] 	Top1: 3.75%
+[ Fri Sep  2 11:19:53 2022 ] 	Top5: 15.26%
+[ Fri Sep  2 11:19:53 2022 ] 	Best acc: 14.24.
+[ Fri Sep  2 11:19:53 2022 ] Training epoch: 13
+[ Fri Sep  2 11:21:01 2022 ] 	Training loss: 2.1498.  Training acc: 51.31%.
+[ Fri Sep  2 11:21:01 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:21:01 2022 ] Eval epoch: 13
+[ Fri Sep  2 11:22:36 2022 ] 	Mean test loss of 625 batches: 4.670298.
+[ Fri Sep  2 11:22:36 2022 ] 	Top1: 12.50%
+[ Fri Sep  2 11:22:36 2022 ] 	Top5: 31.87%
+[ Fri Sep  2 11:22:37 2022 ] 	Best acc: 14.24.
+[ Fri Sep  2 11:22:37 2022 ] Training epoch: 14
+[ Fri Sep  2 11:23:52 2022 ] 	Training loss: 2.0817.  Training acc: 53.62%.
+[ Fri Sep  2 11:23:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:23:52 2022 ] Eval epoch: 14
+[ Fri Sep  2 11:25:34 2022 ] 	Mean test loss of 625 batches: 3.314605.
+[ Fri Sep  2 11:25:34 2022 ] 	Top1: 21.05%
+[ Fri Sep  2 11:25:34 2022 ] 	Top5: 53.27%
+[ Fri Sep  2 11:25:35 2022 ] 	Best acc: 21.05.
+[ Fri Sep  2 11:25:35 2022 ] Training epoch: 15
+[ Fri Sep  2 11:26:52 2022 ] 	Training loss: 2.0683.  Training acc: 54.64%.
+[ Fri Sep  2 11:26:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:26:52 2022 ] Eval epoch: 15
+[ Fri Sep  2 11:28:26 2022 ] 	Mean test loss of 625 batches: 4.073509.
+[ Fri Sep  2 11:28:26 2022 ] 	Top1: 13.45%
+[ Fri Sep  2 11:28:26 2022 ] 	Top5: 38.77%
+[ Fri Sep  2 11:28:26 2022 ] 	Best acc: 21.05.
+[ Fri Sep  2 11:28:26 2022 ] Training epoch: 16
+[ Fri Sep  2 11:29:41 2022 ] 	Training loss: 2.0086.  Training acc: 56.61%.
+[ Fri Sep  2 11:29:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:29:41 2022 ] Eval epoch: 16
+[ Fri Sep  2 11:31:24 2022 ] 	Mean test loss of 625 batches: 3.650444.
+[ Fri Sep  2 11:31:24 2022 ] 	Top1: 22.20%
+[ Fri Sep  2 11:31:24 2022 ] 	Top5: 47.66%
+[ Fri Sep  2 11:31:25 2022 ] 	Best acc: 22.20.
+[ Fri Sep  2 11:31:25 2022 ] Training epoch: 17
+[ Fri Sep  2 11:32:46 2022 ] 	Training loss: 1.9595.  Training acc: 57.70%.
+[ Fri Sep  2 11:32:46 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:32:46 2022 ] Eval epoch: 17
+[ Fri Sep  2 11:33:53 2022 ] 	Mean test loss of 625 batches: 3.169886.
+[ Fri Sep  2 11:33:53 2022 ] 	Top1: 29.14%
+[ Fri Sep  2 11:33:53 2022 ] 	Top5: 57.17%
+[ Fri Sep  2 11:33:53 2022 ] 	Best acc: 29.14.
+[ Fri Sep  2 11:33:53 2022 ] Training epoch: 18
+[ Fri Sep  2 11:35:19 2022 ] 	Training loss: 1.9191.  Training acc: 59.64%.
+[ Fri Sep  2 11:35:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:35:19 2022 ] Eval epoch: 18
+[ Fri Sep  2 11:36:48 2022 ] 	Mean test loss of 625 batches: 3.098544.
+[ Fri Sep  2 11:36:48 2022 ] 	Top1: 27.83%
+[ Fri Sep  2 11:36:48 2022 ] 	Top5: 58.12%
+[ Fri Sep  2 11:36:48 2022 ] 	Best acc: 29.14.
+[ Fri Sep  2 11:36:48 2022 ] Training epoch: 19
+[ Fri Sep  2 11:38:13 2022 ] 	Training loss: 1.8947.  Training acc: 60.89%.
+[ Fri Sep  2 11:38:13 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:38:13 2022 ] Eval epoch: 19
+[ Fri Sep  2 11:39:21 2022 ] 	Mean test loss of 625 batches: 3.114046.
+[ Fri Sep  2 11:39:21 2022 ] 	Top1: 25.27%
+[ Fri Sep  2 11:39:21 2022 ] 	Top5: 62.65%
+[ Fri Sep  2 11:39:21 2022 ] 	Best acc: 29.14.
+[ Fri Sep  2 11:39:21 2022 ] Training epoch: 20
+[ Fri Sep  2 11:41:00 2022 ] 	Training loss: 1.8647.  Training acc: 61.45%.
+[ Fri Sep  2 11:41:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:41:00 2022 ] Eval epoch: 20
+[ Fri Sep  2 11:42:02 2022 ] 	Mean test loss of 625 batches: 3.113183.
+[ Fri Sep  2 11:42:02 2022 ] 	Top1: 25.58%
+[ Fri Sep  2 11:42:02 2022 ] 	Top5: 57.88%
+[ Fri Sep  2 11:42:03 2022 ] 	Best acc: 29.14.
+[ Fri Sep  2 11:42:03 2022 ] Training epoch: 21
+[ Fri Sep  2 11:43:40 2022 ] 	Training loss: 1.8383.  Training acc: 63.35%.
+[ Fri Sep  2 11:43:40 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:43:40 2022 ] Eval epoch: 21
+[ Fri Sep  2 11:44:46 2022 ] 	Mean test loss of 625 batches: 3.023778.
+[ Fri Sep  2 11:44:46 2022 ] 	Top1: 28.25%
+[ Fri Sep  2 11:44:46 2022 ] 	Top5: 61.47%
+[ Fri Sep  2 11:44:46 2022 ] 	Best acc: 29.14.
+[ Fri Sep  2 11:44:46 2022 ] Training epoch: 22
+[ Fri Sep  2 11:46:17 2022 ] 	Training loss: 1.7965.  Training acc: 63.78%.
+[ Fri Sep  2 11:46:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:46:17 2022 ] Eval epoch: 22
+[ Fri Sep  2 11:47:29 2022 ] 	Mean test loss of 625 batches: 3.031791.
+[ Fri Sep  2 11:47:30 2022 ] 	Top1: 28.80%
+[ Fri Sep  2 11:47:30 2022 ] 	Top5: 60.99%
+[ Fri Sep  2 11:47:30 2022 ] 	Best acc: 29.14.
+[ Fri Sep  2 11:47:30 2022 ] Training epoch: 23
+[ Fri Sep  2 11:48:55 2022 ] 	Training loss: 1.8081.  Training acc: 63.53%.
+[ Fri Sep  2 11:48:55 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:48:55 2022 ] Eval epoch: 23
+[ Fri Sep  2 11:50:41 2022 ] 	Mean test loss of 625 batches: 3.380291.
+[ Fri Sep  2 11:50:42 2022 ] 	Top1: 24.72%
+[ Fri Sep  2 11:50:42 2022 ] 	Top5: 55.80%
+[ Fri Sep  2 11:50:42 2022 ] 	Best acc: 29.14.
+[ Fri Sep  2 11:50:42 2022 ] Training epoch: 24
+[ Fri Sep  2 11:51:59 2022 ] 	Training loss: 1.7553.  Training acc: 65.74%.
+[ Fri Sep  2 11:51:59 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:51:59 2022 ] Eval epoch: 24
+[ Fri Sep  2 11:53:44 2022 ] 	Mean test loss of 625 batches: 2.490725.
+[ Fri Sep  2 11:53:44 2022 ] 	Top1: 40.99%
+[ Fri Sep  2 11:53:44 2022 ] 	Top5: 77.29%
+[ Fri Sep  2 11:53:44 2022 ] 	Best acc: 40.99.
+[ Fri Sep  2 11:53:44 2022 ] Training epoch: 25
+[ Fri Sep  2 11:54:58 2022 ] 	Training loss: 1.7314.  Training acc: 66.57%.
+[ Fri Sep  2 11:54:58 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:54:59 2022 ] Eval epoch: 25
+[ Fri Sep  2 11:56:41 2022 ] 	Mean test loss of 625 batches: 2.866392.
+[ Fri Sep  2 11:56:41 2022 ] 	Top1: 34.33%
+[ Fri Sep  2 11:56:41 2022 ] 	Top5: 64.93%
+[ Fri Sep  2 11:56:41 2022 ] 	Best acc: 40.99.
+[ Fri Sep  2 11:56:41 2022 ] Training epoch: 26
+[ Fri Sep  2 11:57:55 2022 ] 	Training loss: 1.6990.  Training acc: 67.43%.
+[ Fri Sep  2 11:57:55 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:57:55 2022 ] Eval epoch: 26
+[ Fri Sep  2 11:59:46 2022 ] 	Mean test loss of 625 batches: 2.527936.
+[ Fri Sep  2 11:59:47 2022 ] 	Top1: 41.61%
+[ Fri Sep  2 11:59:47 2022 ] 	Top5: 75.82%
+[ Fri Sep  2 11:59:47 2022 ] 	Best acc: 41.61.
+[ Fri Sep  2 11:59:47 2022 ] Training epoch: 27
+[ Fri Sep  2 12:00:59 2022 ] 	Training loss: 1.7065.  Training acc: 67.75%.
+[ Fri Sep  2 12:00:59 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:00:59 2022 ] Eval epoch: 27
+[ Fri Sep  2 12:02:45 2022 ] 	Mean test loss of 625 batches: 2.589321.
+[ Fri Sep  2 12:02:45 2022 ] 	Top1: 38.76%
+[ Fri Sep  2 12:02:45 2022 ] 	Top5: 76.13%
+[ Fri Sep  2 12:02:45 2022 ] 	Best acc: 41.61.
+[ Fri Sep  2 12:02:45 2022 ] Training epoch: 28
+[ Fri Sep  2 12:04:02 2022 ] 	Training loss: 1.6700.  Training acc: 68.92%.
+[ Fri Sep  2 12:04:02 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:04:02 2022 ] Eval epoch: 28
+[ Fri Sep  2 12:05:51 2022 ] 	Mean test loss of 625 batches: 2.565841.
+[ Fri Sep  2 12:05:51 2022 ] 	Top1: 40.43%
+[ Fri Sep  2 12:05:51 2022 ] 	Top5: 77.24%
+[ Fri Sep  2 12:05:51 2022 ] 	Best acc: 41.61.
+[ Fri Sep  2 12:05:51 2022 ] Training epoch: 29
+[ Fri Sep  2 12:07:04 2022 ] 	Training loss: 1.6500.  Training acc: 69.36%.
+[ Fri Sep  2 12:07:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:07:04 2022 ] Eval epoch: 29
+[ Fri Sep  2 12:09:00 2022 ] 	Mean test loss of 625 batches: 2.958867.
+[ Fri Sep  2 12:09:00 2022 ] 	Top1: 30.92%
+[ Fri Sep  2 12:09:00 2022 ] 	Top5: 62.87%
+[ Fri Sep  2 12:09:00 2022 ] 	Best acc: 41.61.
+[ Fri Sep  2 12:09:00 2022 ] Training epoch: 30
+[ Fri Sep  2 12:10:15 2022 ] 	Training loss: 1.6407.  Training acc: 69.66%.
+[ Fri Sep  2 12:10:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:10:15 2022 ] Eval epoch: 30
+[ Fri Sep  2 12:12:10 2022 ] 	Mean test loss of 625 batches: 2.609139.
+[ Fri Sep  2 12:12:10 2022 ] 	Top1: 37.41%
+[ Fri Sep  2 12:12:10 2022 ] 	Top5: 72.75%
+[ Fri Sep  2 12:12:11 2022 ] 	Best acc: 41.61.
+[ Fri Sep  2 12:12:11 2022 ] Training epoch: 31
+[ Fri Sep  2 12:13:27 2022 ] 	Training loss: 1.6271.  Training acc: 70.52%.
+[ Fri Sep  2 12:13:27 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:13:27 2022 ] Eval epoch: 31
+[ Fri Sep  2 12:15:16 2022 ] 	Mean test loss of 625 batches: 2.524836.
+[ Fri Sep  2 12:15:16 2022 ] 	Top1: 40.42%
+[ Fri Sep  2 12:15:16 2022 ] 	Top5: 77.30%
+[ Fri Sep  2 12:15:16 2022 ] 	Best acc: 41.61.
+[ Fri Sep  2 12:15:16 2022 ] Training epoch: 32
+[ Fri Sep  2 12:16:33 2022 ] 	Training loss: 1.5968.  Training acc: 70.99%.
+[ Fri Sep  2 12:16:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:16:33 2022 ] Eval epoch: 32
+[ Fri Sep  2 12:18:33 2022 ] 	Mean test loss of 625 batches: 2.871480.
+[ Fri Sep  2 12:18:33 2022 ] 	Top1: 32.27%
+[ Fri Sep  2 12:18:33 2022 ] 	Top5: 70.83%
+[ Fri Sep  2 12:18:33 2022 ] 	Best acc: 41.61.
+[ Fri Sep  2 12:18:33 2022 ] Training epoch: 33
+[ Fri Sep  2 12:19:43 2022 ] 	Training loss: 1.5892.  Training acc: 71.84%.
+[ Fri Sep  2 12:19:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:19:43 2022 ] Eval epoch: 33
+[ Fri Sep  2 12:21:48 2022 ] 	Mean test loss of 625 batches: 2.506441.
+[ Fri Sep  2 12:21:48 2022 ] 	Top1: 41.23%
+[ Fri Sep  2 12:21:48 2022 ] 	Top5: 79.91%
+[ Fri Sep  2 12:21:49 2022 ] 	Best acc: 41.61.
+[ Fri Sep  2 12:21:49 2022 ] Training epoch: 34
+[ Fri Sep  2 12:22:58 2022 ] 	Training loss: 1.5737.  Training acc: 72.56%.
+[ Fri Sep  2 12:22:58 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:22:58 2022 ] Eval epoch: 34
+[ Fri Sep  2 12:25:01 2022 ] 	Mean test loss of 625 batches: 2.420367.
+[ Fri Sep  2 12:25:01 2022 ] 	Top1: 40.80%
+[ Fri Sep  2 12:25:01 2022 ] 	Top5: 82.26%
+[ Fri Sep  2 12:25:02 2022 ] 	Best acc: 41.61.
+[ Fri Sep  2 12:25:02 2022 ] Training epoch: 35
+[ Fri Sep  2 12:26:14 2022 ] 	Training loss: 1.5659.  Training acc: 72.19%.
+[ Fri Sep  2 12:26:14 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:26:14 2022 ] Eval epoch: 35
+[ Fri Sep  2 12:28:17 2022 ] 	Mean test loss of 625 batches: 2.497374.
+[ Fri Sep  2 12:28:17 2022 ] 	Top1: 41.79%
+[ Fri Sep  2 12:28:17 2022 ] 	Top5: 79.92%
+[ Fri Sep  2 12:28:17 2022 ] 	Best acc: 41.79.
+[ Fri Sep  2 12:28:17 2022 ] Training epoch: 36
+[ Fri Sep  2 12:29:32 2022 ] 	Training loss: 1.5490.  Training acc: 72.76%.
+[ Fri Sep  2 12:29:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:29:32 2022 ] Eval epoch: 36
+[ Fri Sep  2 12:31:26 2022 ] 	Mean test loss of 625 batches: 2.502809.
+[ Fri Sep  2 12:31:27 2022 ] 	Top1: 41.70%
+[ Fri Sep  2 12:31:27 2022 ] 	Top5: 79.10%
+[ Fri Sep  2 12:31:27 2022 ] 	Best acc: 41.79.
+[ Fri Sep  2 12:31:27 2022 ] Training epoch: 37
+[ Fri Sep  2 12:32:40 2022 ] 	Training loss: 1.5448.  Training acc: 73.46%.
+[ Fri Sep  2 12:32:40 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:32:40 2022 ] Eval epoch: 37
+[ Fri Sep  2 12:34:36 2022 ] 	Mean test loss of 625 batches: 3.078095.
+[ Fri Sep  2 12:34:36 2022 ] 	Top1: 33.01%
+[ Fri Sep  2 12:34:36 2022 ] 	Top5: 67.33%
+[ Fri Sep  2 12:34:36 2022 ] 	Best acc: 41.79.
+[ Fri Sep  2 12:34:36 2022 ] Training epoch: 38
+[ Fri Sep  2 12:35:54 2022 ] 	Training loss: 1.5235.  Training acc: 74.15%.
+[ Fri Sep  2 12:35:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:35:54 2022 ] Eval epoch: 38
+[ Fri Sep  2 12:37:51 2022 ] 	Mean test loss of 625 batches: 2.863369.
+[ Fri Sep  2 12:37:51 2022 ] 	Top1: 35.92%
+[ Fri Sep  2 12:37:51 2022 ] 	Top5: 68.14%
+[ Fri Sep  2 12:37:51 2022 ] 	Best acc: 41.79.
+[ Fri Sep  2 12:37:52 2022 ] Training epoch: 39
+[ Fri Sep  2 12:39:05 2022 ] 	Training loss: 1.5163.  Training acc: 74.16%.
+[ Fri Sep  2 12:39:05 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:39:05 2022 ] Eval epoch: 39
+[ Fri Sep  2 12:41:02 2022 ] 	Mean test loss of 625 batches: 3.118526.
+[ Fri Sep  2 12:41:02 2022 ] 	Top1: 29.51%
+[ Fri Sep  2 12:41:02 2022 ] 	Top5: 68.31%
+[ Fri Sep  2 12:41:02 2022 ] 	Best acc: 41.79.
+[ Fri Sep  2 12:41:02 2022 ] Training epoch: 40
+[ Fri Sep  2 12:42:14 2022 ] 	Training loss: 1.4958.  Training acc: 75.29%.
+[ Fri Sep  2 12:42:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Fri Sep  2 12:42:14 2022 ] Eval epoch: 40
+[ Fri Sep  2 12:44:16 2022 ] 	Mean test loss of 625 batches: 2.303229.
+[ Fri Sep  2 12:44:16 2022 ] 	Top1: 44.91%
+[ Fri Sep  2 12:44:16 2022 ] 	Top5: 83.53%
+[ Fri Sep  2 12:44:17 2022 ] 	Best acc: 44.91.
+[ Fri Sep  2 12:44:17 2022 ] Training epoch: 41
+[ Fri Sep  2 12:45:26 2022 ] 	Training loss: 1.4867.  Training acc: 74.80%.
+[ Fri Sep  2 12:45:26 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:45:26 2022 ] Eval epoch: 41
+[ Fri Sep  2 12:47:25 2022 ] 	Mean test loss of 625 batches: 2.332344.
+[ Fri Sep  2 12:47:25 2022 ] 	Top1: 45.30%
+[ Fri Sep  2 12:47:25 2022 ] 	Top5: 83.45%
+[ Fri Sep  2 12:47:25 2022 ] 	Best acc: 45.30.
+[ Fri Sep  2 12:47:25 2022 ] Training epoch: 42
+[ Fri Sep  2 12:48:34 2022 ] 	Training loss: 1.4804.  Training acc: 75.25%.
+[ Fri Sep  2 12:48:34 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:48:34 2022 ] Eval epoch: 42
+[ Fri Sep  2 12:50:41 2022 ] 	Mean test loss of 625 batches: 2.536784.
+[ Fri Sep  2 12:50:41 2022 ] 	Top1: 40.74%
+[ Fri Sep  2 12:50:42 2022 ] 	Top5: 78.98%
+[ Fri Sep  2 12:50:42 2022 ] 	Best acc: 45.30.
+[ Fri Sep  2 12:50:42 2022 ] Training epoch: 43
+[ Fri Sep  2 12:51:49 2022 ] 	Training loss: 1.4922.  Training acc: 74.85%.
+[ Fri Sep  2 12:51:49 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:51:49 2022 ] Eval epoch: 43
+[ Fri Sep  2 12:53:58 2022 ] 	Mean test loss of 625 batches: 2.483823.
+[ Fri Sep  2 12:53:58 2022 ] 	Top1: 44.45%
+[ Fri Sep  2 12:53:58 2022 ] 	Top5: 81.08%
+[ Fri Sep  2 12:53:58 2022 ] 	Best acc: 45.30.
+[ Fri Sep  2 12:53:58 2022 ] Training epoch: 44
+[ Fri Sep  2 12:55:07 2022 ] 	Training loss: 1.4779.  Training acc: 75.29%.
+[ Fri Sep  2 12:55:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:55:07 2022 ] Eval epoch: 44
+[ Fri Sep  2 12:57:05 2022 ] 	Mean test loss of 625 batches: 2.532158.
+[ Fri Sep  2 12:57:05 2022 ] 	Top1: 42.68%
+[ Fri Sep  2 12:57:05 2022 ] 	Top5: 76.47%
+[ Fri Sep  2 12:57:05 2022 ] 	Best acc: 45.30.
+[ Fri Sep  2 12:57:05 2022 ] Training epoch: 45
+[ Fri Sep  2 12:58:15 2022 ] 	Training loss: 1.4512.  Training acc: 76.51%.
+[ Fri Sep  2 12:58:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:58:15 2022 ] Eval epoch: 45
+[ Fri Sep  2 13:00:19 2022 ] 	Mean test loss of 625 batches: 2.499466.
+[ Fri Sep  2 13:00:19 2022 ] 	Top1: 42.34%
+[ Fri Sep  2 13:00:19 2022 ] 	Top5: 79.88%
+[ Fri Sep  2 13:00:19 2022 ] 	Best acc: 45.30.
+[ Fri Sep  2 13:00:19 2022 ] Training epoch: 46
+[ Fri Sep  2 13:01:37 2022 ] 	Training loss: 1.4318.  Training acc: 76.93%.
+[ Fri Sep  2 13:01:37 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:01:37 2022 ] Eval epoch: 46
+[ Fri Sep  2 13:03:34 2022 ] 	Mean test loss of 625 batches: 2.413872.
+[ Fri Sep  2 13:03:35 2022 ] 	Top1: 43.94%
+[ Fri Sep  2 13:03:35 2022 ] 	Top5: 78.93%
+[ Fri Sep  2 13:03:35 2022 ] 	Best acc: 45.30.
+[ Fri Sep  2 13:03:35 2022 ] Training epoch: 47
+[ Fri Sep  2 13:04:52 2022 ] 	Training loss: 1.4347.  Training acc: 77.08%.
+[ Fri Sep  2 13:04:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:04:52 2022 ] Eval epoch: 47
+[ Fri Sep  2 13:06:50 2022 ] 	Mean test loss of 625 batches: 2.325974.
+[ Fri Sep  2 13:06:50 2022 ] 	Top1: 48.33%
+[ Fri Sep  2 13:06:50 2022 ] 	Top5: 85.84%
+[ Fri Sep  2 13:06:51 2022 ] 	Best acc: 48.33.
+[ Fri Sep  2 13:06:51 2022 ] Training epoch: 48
+[ Fri Sep  2 13:08:07 2022 ] 	Training loss: 1.4294.  Training acc: 77.34%.
+[ Fri Sep  2 13:08:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:08:07 2022 ] Eval epoch: 48
+[ Fri Sep  2 13:10:01 2022 ] 	Mean test loss of 625 batches: 2.589035.
+[ Fri Sep  2 13:10:01 2022 ] 	Top1: 40.94%
+[ Fri Sep  2 13:10:01 2022 ] 	Top5: 79.03%
+[ Fri Sep  2 13:10:02 2022 ] 	Best acc: 48.33.
+[ Fri Sep  2 13:10:02 2022 ] Training epoch: 49
+[ Fri Sep  2 13:11:07 2022 ] 	Training loss: 1.4284.  Training acc: 77.40%.
+[ Fri Sep  2 13:11:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:11:07 2022 ] Eval epoch: 49
+[ Fri Sep  2 13:13:15 2022 ] 	Mean test loss of 625 batches: 2.143340.
+[ Fri Sep  2 13:13:15 2022 ] 	Top1: 52.57%
+[ Fri Sep  2 13:13:15 2022 ] 	Top5: 88.20%
+[ Fri Sep  2 13:13:15 2022 ] 	Best acc: 52.57.
+[ Fri Sep  2 13:13:15 2022 ] Training epoch: 50
+[ Fri Sep  2 13:14:29 2022 ] 	Training loss: 1.4141.  Training acc: 77.83%.
+[ Fri Sep  2 13:14:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:14:29 2022 ] Eval epoch: 50
+[ Fri Sep  2 13:16:32 2022 ] 	Mean test loss of 625 batches: 2.154592.
+[ Fri Sep  2 13:16:33 2022 ] 	Top1: 51.28%
+[ Fri Sep  2 13:16:33 2022 ] 	Top5: 86.43%
+[ Fri Sep  2 13:16:33 2022 ] 	Best acc: 52.57.
+[ Fri Sep  2 13:16:33 2022 ] Training epoch: 51
+[ Fri Sep  2 13:17:38 2022 ] 	Training loss: 1.4017.  Training acc: 78.23%.
+[ Fri Sep  2 13:17:38 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:17:38 2022 ] Eval epoch: 51
+[ Fri Sep  2 13:19:39 2022 ] 	Mean test loss of 625 batches: 2.385368.
+[ Fri Sep  2 13:19:39 2022 ] 	Top1: 46.65%
+[ Fri Sep  2 13:19:39 2022 ] 	Top5: 82.77%
+[ Fri Sep  2 13:19:39 2022 ] 	Best acc: 52.57.
+[ Fri Sep  2 13:19:39 2022 ] Training epoch: 52
+[ Fri Sep  2 13:20:39 2022 ] 	Training loss: 1.3996.  Training acc: 78.21%.
+[ Fri Sep  2 13:20:39 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:20:39 2022 ] Eval epoch: 52
+[ Fri Sep  2 13:22:38 2022 ] 	Mean test loss of 625 batches: 2.487527.
+[ Fri Sep  2 13:22:38 2022 ] 	Top1: 44.90%
+[ Fri Sep  2 13:22:38 2022 ] 	Top5: 80.86%
+[ Fri Sep  2 13:22:38 2022 ] 	Best acc: 52.57.
+[ Fri Sep  2 13:22:38 2022 ] Training epoch: 53
+[ Fri Sep  2 13:23:48 2022 ] 	Training loss: 1.4031.  Training acc: 78.12%.
+[ Fri Sep  2 13:23:48 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:23:48 2022 ] Eval epoch: 53
+[ Fri Sep  2 13:25:54 2022 ] 	Mean test loss of 625 batches: 2.345844.
+[ Fri Sep  2 13:25:54 2022 ] 	Top1: 48.78%
+[ Fri Sep  2 13:25:54 2022 ] 	Top5: 81.82%
+[ Fri Sep  2 13:25:54 2022 ] 	Best acc: 52.57.
+[ Fri Sep  2 13:25:54 2022 ] Training epoch: 54
+[ Fri Sep  2 13:27:07 2022 ] 	Training loss: 1.3926.  Training acc: 78.85%.
+[ Fri Sep  2 13:27:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:27:07 2022 ] Eval epoch: 54
+[ Fri Sep  2 13:29:07 2022 ] 	Mean test loss of 625 batches: 2.273408.
+[ Fri Sep  2 13:29:07 2022 ] 	Top1: 47.83%
+[ Fri Sep  2 13:29:08 2022 ] 	Top5: 84.72%
+[ Fri Sep  2 13:29:08 2022 ] 	Best acc: 52.57.
+[ Fri Sep  2 13:29:08 2022 ] Training epoch: 55
+[ Fri Sep  2 13:30:25 2022 ] 	Training loss: 1.3956.  Training acc: 78.57%.
+[ Fri Sep  2 13:30:25 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:30:25 2022 ] Eval epoch: 55
+[ Fri Sep  2 13:32:15 2022 ] 	Mean test loss of 625 batches: 2.434898.
+[ Fri Sep  2 13:32:15 2022 ] 	Top1: 44.08%
+[ Fri Sep  2 13:32:15 2022 ] 	Top5: 82.05%
+[ Fri Sep  2 13:32:16 2022 ] 	Best acc: 52.57.
+[ Fri Sep  2 13:32:16 2022 ] Training epoch: 56
+[ Fri Sep  2 13:33:35 2022 ] 	Training loss: 1.3711.  Training acc: 79.57%.
+[ Fri Sep  2 13:33:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:33:35 2022 ] Eval epoch: 56
+[ Fri Sep  2 13:35:33 2022 ] 	Mean test loss of 625 batches: 2.194698.
+[ Fri Sep  2 13:35:33 2022 ] 	Top1: 49.67%
+[ Fri Sep  2 13:35:33 2022 ] 	Top5: 87.34%
+[ Fri Sep  2 13:35:33 2022 ] 	Best acc: 52.57.
+[ Fri Sep  2 13:35:33 2022 ] Training epoch: 57
+[ Fri Sep  2 13:36:50 2022 ] 	Training loss: 1.3573.  Training acc: 79.55%.
+[ Fri Sep  2 13:36:50 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:36:50 2022 ] Eval epoch: 57
+[ Fri Sep  2 13:38:40 2022 ] 	Mean test loss of 625 batches: 2.271739.
+[ Fri Sep  2 13:38:40 2022 ] 	Top1: 48.35%
+[ Fri Sep  2 13:38:41 2022 ] 	Top5: 85.75%
+[ Fri Sep  2 13:38:41 2022 ] 	Best acc: 52.57.
+[ Fri Sep  2 13:38:41 2022 ] Training epoch: 58
+[ Fri Sep  2 13:39:54 2022 ] 	Training loss: 1.3561.  Training acc: 79.98%.
+[ Fri Sep  2 13:39:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:39:54 2022 ] Eval epoch: 58
+[ Fri Sep  2 13:41:48 2022 ] 	Mean test loss of 625 batches: 2.293563.
+[ Fri Sep  2 13:41:49 2022 ] 	Top1: 45.98%
+[ Fri Sep  2 13:41:49 2022 ] 	Top5: 84.59%
+[ Fri Sep  2 13:41:49 2022 ] 	Best acc: 52.57.
+[ Fri Sep  2 13:41:49 2022 ] Training epoch: 59
+[ Fri Sep  2 13:43:07 2022 ] 	Training loss: 1.3570.  Training acc: 79.80%.
+[ Fri Sep  2 13:43:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:43:07 2022 ] Eval epoch: 59
+[ Fri Sep  2 13:45:01 2022 ] 	Mean test loss of 625 batches: 2.161932.
+[ Fri Sep  2 13:45:02 2022 ] 	Top1: 52.13%
+[ Fri Sep  2 13:45:02 2022 ] 	Top5: 84.87%
+[ Fri Sep  2 13:45:02 2022 ] 	Best acc: 52.57.
+[ Fri Sep  2 13:45:02 2022 ] Training epoch: 60
+[ Fri Sep  2 13:46:14 2022 ] 	Training loss: 1.3462.  Training acc: 79.74%.
+[ Fri Sep  2 13:46:14 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:46:14 2022 ] Eval epoch: 60
+[ Fri Sep  2 13:48:04 2022 ] 	Mean test loss of 625 batches: 2.157655.
+[ Fri Sep  2 13:48:04 2022 ] 	Top1: 52.91%
+[ Fri Sep  2 13:48:04 2022 ] 	Top5: 86.95%
+[ Fri Sep  2 13:48:04 2022 ] 	Best acc: 52.91.
+[ Fri Sep  2 13:48:04 2022 ] Training epoch: 61
+[ Fri Sep  2 13:49:20 2022 ] 	Training loss: 1.3477.  Training acc: 80.34%.
+[ Fri Sep  2 13:49:20 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:49:20 2022 ] Eval epoch: 61
+[ Fri Sep  2 13:51:19 2022 ] 	Mean test loss of 625 batches: 2.337881.
+[ Fri Sep  2 13:51:19 2022 ] 	Top1: 49.14%
+[ Fri Sep  2 13:51:19 2022 ] 	Top5: 84.07%
+[ Fri Sep  2 13:51:19 2022 ] 	Best acc: 52.91.
+[ Fri Sep  2 13:51:19 2022 ] Training epoch: 62
+[ Fri Sep  2 13:52:38 2022 ] 	Training loss: 1.3561.  Training acc: 79.84%.
+[ Fri Sep  2 13:52:38 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:52:38 2022 ] Eval epoch: 62
+[ Fri Sep  2 13:54:35 2022 ] 	Mean test loss of 625 batches: 2.227976.
+[ Fri Sep  2 13:54:35 2022 ] 	Top1: 51.26%
+[ Fri Sep  2 13:54:35 2022 ] 	Top5: 85.99%
+[ Fri Sep  2 13:54:35 2022 ] 	Best acc: 52.91.
+[ Fri Sep  2 13:54:35 2022 ] Training epoch: 63
+[ Fri Sep  2 13:55:51 2022 ] 	Training loss: 1.3430.  Training acc: 80.13%.
+[ Fri Sep  2 13:55:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:55:51 2022 ] Eval epoch: 63
+[ Fri Sep  2 13:57:50 2022 ] 	Mean test loss of 625 batches: 9.807427.
+[ Fri Sep  2 13:57:51 2022 ] 	Top1: 7.53%
+[ Fri Sep  2 13:57:51 2022 ] 	Top5: 19.33%
+[ Fri Sep  2 13:57:51 2022 ] 	Best acc: 52.91.
+[ Fri Sep  2 13:57:51 2022 ] Training epoch: 64
+[ Fri Sep  2 13:59:11 2022 ] 	Training loss: 1.3281.  Training acc: 80.74%.
+[ Fri Sep  2 13:59:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:59:11 2022 ] Eval epoch: 64
+[ Fri Sep  2 14:00:57 2022 ] 	Mean test loss of 625 batches: 2.078121.
+[ Fri Sep  2 14:00:57 2022 ] 	Top1: 54.21%
+[ Fri Sep  2 14:00:57 2022 ] 	Top5: 87.06%
+[ Fri Sep  2 14:00:57 2022 ] 	Best acc: 54.21.
+[ Fri Sep  2 14:00:57 2022 ] Training epoch: 65
+[ Fri Sep  2 14:02:11 2022 ] 	Training loss: 1.3189.  Training acc: 81.20%.
+[ Fri Sep  2 14:02:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:02:11 2022 ] Eval epoch: 65
+[ Fri Sep  2 14:03:58 2022 ] 	Mean test loss of 625 batches: 2.269954.
+[ Fri Sep  2 14:03:58 2022 ] 	Top1: 50.77%
+[ Fri Sep  2 14:03:58 2022 ] 	Top5: 83.37%
+[ Fri Sep  2 14:03:58 2022 ] 	Best acc: 54.21.
+[ Fri Sep  2 14:03:58 2022 ] Training epoch: 66
+[ Fri Sep  2 14:05:13 2022 ] 	Training loss: 1.3241.  Training acc: 81.62%.
+[ Fri Sep  2 14:05:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 14:05:13 2022 ] Eval epoch: 66
+[ Fri Sep  2 14:07:09 2022 ] 	Mean test loss of 625 batches: 2.318345.
+[ Fri Sep  2 14:07:09 2022 ] 	Top1: 48.18%
+[ Fri Sep  2 14:07:10 2022 ] 	Top5: 84.10%
+[ Fri Sep  2 14:07:10 2022 ] 	Best acc: 54.21.
+[ Fri Sep  2 14:07:10 2022 ] Training epoch: 67
+[ Fri Sep  2 14:08:29 2022 ] 	Training loss: 1.3031.  Training acc: 81.34%.
+[ Fri Sep  2 14:08:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:08:29 2022 ] Eval epoch: 67
+[ Fri Sep  2 14:09:48 2022 ] 	Mean test loss of 625 batches: 2.052422.
+[ Fri Sep  2 14:09:48 2022 ] 	Top1: 55.63%
+[ Fri Sep  2 14:09:48 2022 ] 	Top5: 88.99%
+[ Fri Sep  2 14:09:49 2022 ] 	Best acc: 55.63.
+[ Fri Sep  2 14:09:49 2022 ] Training epoch: 68
+[ Fri Sep  2 14:10:52 2022 ] 	Training loss: 1.3054.  Training acc: 81.69%.
+[ Fri Sep  2 14:10:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:10:52 2022 ] Eval epoch: 68
+[ Fri Sep  2 14:12:16 2022 ] 	Mean test loss of 625 batches: 2.473679.
+[ Fri Sep  2 14:12:16 2022 ] 	Top1: 43.17%
+[ Fri Sep  2 14:12:16 2022 ] 	Top5: 80.00%
+[ Fri Sep  2 14:12:16 2022 ] 	Best acc: 55.63.
+[ Fri Sep  2 14:12:16 2022 ] Training epoch: 69
+[ Fri Sep  2 14:13:04 2022 ] 	Training loss: 1.3091.  Training acc: 81.36%.
+[ Fri Sep  2 14:13:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:13:04 2022 ] Eval epoch: 69
+[ Fri Sep  2 14:13:39 2022 ] 	Mean test loss of 625 batches: 2.134378.
+[ Fri Sep  2 14:13:39 2022 ] 	Top1: 52.43%
+[ Fri Sep  2 14:13:39 2022 ] 	Top5: 87.65%
+[ Fri Sep  2 14:13:39 2022 ] 	Best acc: 55.63.
+[ Fri Sep  2 14:13:39 2022 ] Training epoch: 70
+[ Fri Sep  2 14:14:26 2022 ] 	Training loss: 1.3062.  Training acc: 81.75%.
+[ Fri Sep  2 14:14:26 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:14:26 2022 ] Eval epoch: 70
+[ Fri Sep  2 14:15:20 2022 ] 	Mean test loss of 625 batches: 2.213382.
+[ Fri Sep  2 14:15:20 2022 ] 	Top1: 51.93%
+[ Fri Sep  2 14:15:20 2022 ] 	Top5: 86.03%
+[ Fri Sep  2 14:15:20 2022 ] 	Best acc: 55.63.
+[ Fri Sep  2 14:15:20 2022 ] Training epoch: 71
+[ Fri Sep  2 14:16:05 2022 ] 	Training loss: 1.2989.  Training acc: 81.72%.
+[ Fri Sep  2 14:16:05 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:16:05 2022 ] Eval epoch: 71
+[ Fri Sep  2 14:16:32 2022 ] 	Mean test loss of 625 batches: 2.583778.
+[ Fri Sep  2 14:16:32 2022 ] 	Top1: 40.90%
+[ Fri Sep  2 14:16:32 2022 ] 	Top5: 77.11%
+[ Fri Sep  2 14:16:32 2022 ] 	Best acc: 55.63.
+[ Fri Sep  2 14:16:32 2022 ] Training epoch: 72
+[ Fri Sep  2 14:17:15 2022 ] 	Training loss: 1.2972.  Training acc: 82.13%.
+[ Fri Sep  2 14:17:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:17:15 2022 ] Eval epoch: 72
+[ Fri Sep  2 14:17:40 2022 ] 	Mean test loss of 625 batches: 2.104962.
+[ Fri Sep  2 14:17:40 2022 ] 	Top1: 55.98%
+[ Fri Sep  2 14:17:40 2022 ] 	Top5: 87.14%
+[ Fri Sep  2 14:17:41 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:17:41 2022 ] Training epoch: 73
+[ Fri Sep  2 14:18:24 2022 ] 	Training loss: 1.3085.  Training acc: 81.82%.
+[ Fri Sep  2 14:18:24 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:18:24 2022 ] Eval epoch: 73
+[ Fri Sep  2 14:18:51 2022 ] 	Mean test loss of 625 batches: 2.362204.
+[ Fri Sep  2 14:18:51 2022 ] 	Top1: 47.20%
+[ Fri Sep  2 14:18:51 2022 ] 	Top5: 82.58%
+[ Fri Sep  2 14:18:51 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:18:51 2022 ] Training epoch: 74
+[ Fri Sep  2 14:19:34 2022 ] 	Training loss: 1.2805.  Training acc: 82.53%.
+[ Fri Sep  2 14:19:34 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:19:34 2022 ] Eval epoch: 74
+[ Fri Sep  2 14:20:00 2022 ] 	Mean test loss of 625 batches: 2.295753.
+[ Fri Sep  2 14:20:00 2022 ] 	Top1: 50.11%
+[ Fri Sep  2 14:20:00 2022 ] 	Top5: 82.60%
+[ Fri Sep  2 14:20:01 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:20:01 2022 ] Training epoch: 75
+[ Fri Sep  2 14:20:44 2022 ] 	Training loss: 1.2773.  Training acc: 83.16%.
+[ Fri Sep  2 14:20:44 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:20:44 2022 ] Eval epoch: 75
+[ Fri Sep  2 14:21:10 2022 ] 	Mean test loss of 625 batches: 2.499827.
+[ Fri Sep  2 14:21:10 2022 ] 	Top1: 48.09%
+[ Fri Sep  2 14:21:10 2022 ] 	Top5: 85.44%
+[ Fri Sep  2 14:21:10 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:21:10 2022 ] Training epoch: 76
+[ Fri Sep  2 14:21:54 2022 ] 	Training loss: 1.2654.  Training acc: 83.27%.
+[ Fri Sep  2 14:21:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:21:54 2022 ] Eval epoch: 76
+[ Fri Sep  2 14:22:18 2022 ] 	Mean test loss of 625 batches: 2.113442.
+[ Fri Sep  2 14:22:18 2022 ] 	Top1: 53.59%
+[ Fri Sep  2 14:22:18 2022 ] 	Top5: 86.84%
+[ Fri Sep  2 14:22:18 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:22:18 2022 ] Training epoch: 77
+[ Fri Sep  2 14:23:01 2022 ] 	Training loss: 1.2772.  Training acc: 82.10%.
+[ Fri Sep  2 14:23:01 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:23:01 2022 ] Eval epoch: 77
+[ Fri Sep  2 14:23:29 2022 ] 	Mean test loss of 625 batches: 2.098394.
+[ Fri Sep  2 14:23:29 2022 ] 	Top1: 54.83%
+[ Fri Sep  2 14:23:29 2022 ] 	Top5: 87.97%
+[ Fri Sep  2 14:23:29 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:23:29 2022 ] Training epoch: 78
+[ Fri Sep  2 14:24:12 2022 ] 	Training loss: 1.2868.  Training acc: 82.39%.
+[ Fri Sep  2 14:24:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:24:12 2022 ] Eval epoch: 78
+[ Fri Sep  2 14:24:40 2022 ] 	Mean test loss of 625 batches: 2.189293.
+[ Fri Sep  2 14:24:41 2022 ] 	Top1: 52.90%
+[ Fri Sep  2 14:24:41 2022 ] 	Top5: 85.82%
+[ Fri Sep  2 14:24:41 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:24:41 2022 ] Training epoch: 79
+[ Fri Sep  2 14:25:24 2022 ] 	Training loss: 1.2772.  Training acc: 82.65%.
+[ Fri Sep  2 14:25:24 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:25:24 2022 ] Eval epoch: 79
+[ Fri Sep  2 14:25:48 2022 ] 	Mean test loss of 625 batches: 2.194494.
+[ Fri Sep  2 14:25:48 2022 ] 	Top1: 54.15%
+[ Fri Sep  2 14:25:48 2022 ] 	Top5: 87.49%
+[ Fri Sep  2 14:25:48 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:25:48 2022 ] Training epoch: 80
+[ Fri Sep  2 14:26:32 2022 ] 	Training loss: 1.2789.  Training acc: 82.70%.
+[ Fri Sep  2 14:26:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:26:32 2022 ] Eval epoch: 80
+[ Fri Sep  2 14:26:57 2022 ] 	Mean test loss of 625 batches: 2.420881.
+[ Fri Sep  2 14:26:58 2022 ] 	Top1: 47.11%
+[ Fri Sep  2 14:26:58 2022 ] 	Top5: 81.79%
+[ Fri Sep  2 14:26:58 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:26:58 2022 ] Training epoch: 81
+[ Fri Sep  2 14:27:41 2022 ] 	Training loss: 1.2728.  Training acc: 82.72%.
+[ Fri Sep  2 14:27:41 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:27:41 2022 ] Eval epoch: 81
+[ Fri Sep  2 14:28:06 2022 ] 	Mean test loss of 625 batches: 2.149676.
+[ Fri Sep  2 14:28:06 2022 ] 	Top1: 52.08%
+[ Fri Sep  2 14:28:06 2022 ] 	Top5: 86.33%
+[ Fri Sep  2 14:28:06 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:28:06 2022 ] Training epoch: 82
+[ Fri Sep  2 14:28:50 2022 ] 	Training loss: 1.2473.  Training acc: 84.01%.
+[ Fri Sep  2 14:28:50 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:28:50 2022 ] Eval epoch: 82
+[ Fri Sep  2 14:29:15 2022 ] 	Mean test loss of 625 batches: 2.219359.
+[ Fri Sep  2 14:29:15 2022 ] 	Top1: 51.70%
+[ Fri Sep  2 14:29:15 2022 ] 	Top5: 86.07%
+[ Fri Sep  2 14:29:15 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:29:15 2022 ] Training epoch: 83
+[ Fri Sep  2 14:29:59 2022 ] 	Training loss: 1.2585.  Training acc: 83.27%.
+[ Fri Sep  2 14:29:59 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:29:59 2022 ] Eval epoch: 83
+[ Fri Sep  2 14:30:25 2022 ] 	Mean test loss of 625 batches: 2.206323.
+[ Fri Sep  2 14:30:25 2022 ] 	Top1: 51.81%
+[ Fri Sep  2 14:30:26 2022 ] 	Top5: 84.79%
+[ Fri Sep  2 14:30:26 2022 ] 	Best acc: 55.98.
+[ Fri Sep  2 14:30:26 2022 ] Training epoch: 84
+[ Fri Sep  2 14:31:11 2022 ] 	Training loss: 1.2482.  Training acc: 83.60%.
+[ Fri Sep  2 14:31:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:31:11 2022 ] Eval epoch: 84
+[ Fri Sep  2 14:31:35 2022 ] 	Mean test loss of 625 batches: 2.014077.
+[ Fri Sep  2 14:31:35 2022 ] 	Top1: 57.74%
+[ Fri Sep  2 14:31:35 2022 ] 	Top5: 88.88%
+[ Fri Sep  2 14:31:35 2022 ] 	Best acc: 57.74.
+[ Fri Sep  2 14:31:35 2022 ] Training epoch: 85
+[ Fri Sep  2 14:32:19 2022 ] 	Training loss: 1.2454.  Training acc: 83.96%.
+[ Fri Sep  2 14:32:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:32:19 2022 ] Eval epoch: 85
+[ Fri Sep  2 14:32:46 2022 ] 	Mean test loss of 625 batches: 2.289720.
+[ Fri Sep  2 14:32:46 2022 ] 	Top1: 50.88%
+[ Fri Sep  2 14:32:46 2022 ] 	Top5: 83.98%
+[ Fri Sep  2 14:32:46 2022 ] 	Best acc: 57.74.
+[ Fri Sep  2 14:32:46 2022 ] Training epoch: 86
+[ Fri Sep  2 14:33:31 2022 ] 	Training loss: 1.2418.  Training acc: 83.85%.
+[ Fri Sep  2 14:33:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:33:31 2022 ] Eval epoch: 86
+[ Fri Sep  2 14:33:59 2022 ] 	Mean test loss of 625 batches: 2.119906.
+[ Fri Sep  2 14:33:59 2022 ] 	Top1: 53.74%
+[ Fri Sep  2 14:33:59 2022 ] 	Top5: 86.33%
+[ Fri Sep  2 14:33:59 2022 ] 	Best acc: 57.74.
+[ Fri Sep  2 14:33:59 2022 ] Training epoch: 87
+[ Fri Sep  2 14:34:43 2022 ] 	Training loss: 1.2368.  Training acc: 84.03%.
+[ Fri Sep  2 14:34:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:34:43 2022 ] Eval epoch: 87
+[ Fri Sep  2 14:35:10 2022 ] 	Mean test loss of 625 batches: 2.262019.
+[ Fri Sep  2 14:35:10 2022 ] 	Top1: 50.83%
+[ Fri Sep  2 14:35:10 2022 ] 	Top5: 85.49%
+[ Fri Sep  2 14:35:10 2022 ] 	Best acc: 57.74.
+[ Fri Sep  2 14:35:10 2022 ] Training epoch: 88
+[ Fri Sep  2 14:35:57 2022 ] 	Training loss: 1.2478.  Training acc: 83.82%.
+[ Fri Sep  2 14:35:57 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:35:57 2022 ] Eval epoch: 88
+[ Fri Sep  2 14:36:20 2022 ] 	Mean test loss of 625 batches: 2.309388.
+[ Fri Sep  2 14:36:20 2022 ] 	Top1: 48.98%
+[ Fri Sep  2 14:36:20 2022 ] 	Top5: 84.89%
+[ Fri Sep  2 14:36:20 2022 ] 	Best acc: 57.74.
+[ Fri Sep  2 14:36:20 2022 ] Training epoch: 89
+[ Fri Sep  2 14:37:05 2022 ] 	Training loss: 1.2386.  Training acc: 84.15%.
+[ Fri Sep  2 14:37:05 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:37:05 2022 ] Eval epoch: 89
+[ Fri Sep  2 14:37:30 2022 ] 	Mean test loss of 625 batches: 2.184142.
+[ Fri Sep  2 14:37:30 2022 ] 	Top1: 53.11%
+[ Fri Sep  2 14:37:30 2022 ] 	Top5: 84.48%
+[ Fri Sep  2 14:37:30 2022 ] 	Best acc: 57.74.
+[ Fri Sep  2 14:37:30 2022 ] Training epoch: 90
+[ Fri Sep  2 14:38:15 2022 ] 	Training loss: 1.2357.  Training acc: 84.13%.
+[ Fri Sep  2 14:38:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:38:15 2022 ] Eval epoch: 90
+[ Fri Sep  2 14:38:40 2022 ] 	Mean test loss of 625 batches: 2.175222.
+[ Fri Sep  2 14:38:40 2022 ] 	Top1: 52.37%
+[ Fri Sep  2 14:38:40 2022 ] 	Top5: 85.77%
+[ Fri Sep  2 14:38:40 2022 ] 	Best acc: 57.74.
+[ Fri Sep  2 14:38:40 2022 ] Training epoch: 91
+[ Fri Sep  2 14:39:26 2022 ] 	Training loss: 1.0686.  Training acc: 90.29%.
+[ Fri Sep  2 14:39:26 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:39:26 2022 ] Eval epoch: 91
+[ Fri Sep  2 14:39:50 2022 ] 	Mean test loss of 625 batches: 1.734153.
+[ Fri Sep  2 14:39:50 2022 ] 	Top1: 65.90%
+[ Fri Sep  2 14:39:50 2022 ] 	Top5: 93.43%
+[ Fri Sep  2 14:39:50 2022 ] 	Best acc: 65.90.
+[ Fri Sep  2 14:39:50 2022 ] Training epoch: 92
+[ Fri Sep  2 14:40:35 2022 ] 	Training loss: 1.0017.  Training acc: 93.13%.
+[ Fri Sep  2 14:40:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:40:35 2022 ] Eval epoch: 92
+[ Fri Sep  2 14:40:59 2022 ] 	Mean test loss of 625 batches: 1.722447.
+[ Fri Sep  2 14:40:59 2022 ] 	Top1: 66.30%
+[ Fri Sep  2 14:40:59 2022 ] 	Top5: 93.47%
+[ Fri Sep  2 14:40:59 2022 ] 	Best acc: 66.30.
+[ Fri Sep  2 14:40:59 2022 ] Training epoch: 93
+[ Fri Sep  2 14:41:44 2022 ] 	Training loss: 0.9826.  Training acc: 93.80%.
+[ Fri Sep  2 14:41:44 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:41:44 2022 ] Eval epoch: 93
+[ Fri Sep  2 14:42:07 2022 ] 	Mean test loss of 625 batches: 1.728167.
+[ Fri Sep  2 14:42:07 2022 ] 	Top1: 66.08%
+[ Fri Sep  2 14:42:08 2022 ] 	Top5: 93.43%
+[ Fri Sep  2 14:42:08 2022 ] 	Best acc: 66.30.
+[ Fri Sep  2 14:42:08 2022 ] Training epoch: 94
+[ Fri Sep  2 14:42:52 2022 ] 	Training loss: 0.9652.  Training acc: 94.09%.
+[ Fri Sep  2 14:42:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:42:52 2022 ] Eval epoch: 94
+[ Fri Sep  2 14:43:15 2022 ] 	Mean test loss of 625 batches: 1.702007.
+[ Fri Sep  2 14:43:15 2022 ] 	Top1: 67.47%
+[ Fri Sep  2 14:43:15 2022 ] 	Top5: 93.63%
+[ Fri Sep  2 14:43:15 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:43:15 2022 ] Training epoch: 95
+[ Fri Sep  2 14:44:00 2022 ] 	Training loss: 0.9517.  Training acc: 94.61%.
+[ Fri Sep  2 14:44:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:44:00 2022 ] Eval epoch: 95
+[ Fri Sep  2 14:44:23 2022 ] 	Mean test loss of 625 batches: 1.722794.
+[ Fri Sep  2 14:44:24 2022 ] 	Top1: 66.76%
+[ Fri Sep  2 14:44:24 2022 ] 	Top5: 93.55%
+[ Fri Sep  2 14:44:24 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:44:24 2022 ] Training epoch: 96
+[ Fri Sep  2 14:45:07 2022 ] 	Training loss: 0.9465.  Training acc: 94.88%.
+[ Fri Sep  2 14:45:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:45:07 2022 ] Eval epoch: 96
+[ Fri Sep  2 14:45:29 2022 ] 	Mean test loss of 625 batches: 1.716667.
+[ Fri Sep  2 14:45:30 2022 ] 	Top1: 66.76%
+[ Fri Sep  2 14:45:30 2022 ] 	Top5: 93.52%
+[ Fri Sep  2 14:45:30 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:45:30 2022 ] Training epoch: 97
+[ Fri Sep  2 14:46:15 2022 ] 	Training loss: 0.9335.  Training acc: 95.29%.
+[ Fri Sep  2 14:46:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:46:15 2022 ] Eval epoch: 97
+[ Fri Sep  2 14:46:37 2022 ] 	Mean test loss of 625 batches: 1.722567.
+[ Fri Sep  2 14:46:37 2022 ] 	Top1: 66.71%
+[ Fri Sep  2 14:46:37 2022 ] 	Top5: 93.65%
+[ Fri Sep  2 14:46:37 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:46:37 2022 ] Training epoch: 98
+[ Fri Sep  2 14:47:22 2022 ] 	Training loss: 0.9275.  Training acc: 95.46%.
+[ Fri Sep  2 14:47:22 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:47:22 2022 ] Eval epoch: 98
+[ Fri Sep  2 14:47:45 2022 ] 	Mean test loss of 625 batches: 1.716833.
+[ Fri Sep  2 14:47:45 2022 ] 	Top1: 66.96%
+[ Fri Sep  2 14:47:45 2022 ] 	Top5: 93.83%
+[ Fri Sep  2 14:47:45 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:47:45 2022 ] Training epoch: 99
+[ Fri Sep  2 14:48:28 2022 ] 	Training loss: 0.9248.  Training acc: 95.50%.
+[ Fri Sep  2 14:48:28 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:48:28 2022 ] Eval epoch: 99
+[ Fri Sep  2 14:48:51 2022 ] 	Mean test loss of 625 batches: 1.720145.
+[ Fri Sep  2 14:48:51 2022 ] 	Top1: 66.76%
+[ Fri Sep  2 14:48:51 2022 ] 	Top5: 93.92%
+[ Fri Sep  2 14:48:51 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:48:51 2022 ] Training epoch: 100
+[ Fri Sep  2 14:49:34 2022 ] 	Training loss: 0.9205.  Training acc: 95.72%.
+[ Fri Sep  2 14:49:34 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:49:34 2022 ] Eval epoch: 100
+[ Fri Sep  2 14:49:57 2022 ] 	Mean test loss of 625 batches: 1.729505.
+[ Fri Sep  2 14:49:57 2022 ] 	Top1: 66.24%
+[ Fri Sep  2 14:49:57 2022 ] 	Top5: 93.46%
+[ Fri Sep  2 14:49:57 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:49:57 2022 ] Training epoch: 101
+[ Fri Sep  2 14:50:43 2022 ] 	Training loss: 0.9082.  Training acc: 96.23%.
+[ Fri Sep  2 14:50:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:50:43 2022 ] Eval epoch: 101
+[ Fri Sep  2 14:51:06 2022 ] 	Mean test loss of 625 batches: 1.708685.
+[ Fri Sep  2 14:51:06 2022 ] 	Top1: 67.10%
+[ Fri Sep  2 14:51:06 2022 ] 	Top5: 93.71%
+[ Fri Sep  2 14:51:06 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:51:06 2022 ] Training epoch: 102
+[ Fri Sep  2 14:51:50 2022 ] 	Training loss: 0.9052.  Training acc: 96.33%.
+[ Fri Sep  2 14:51:50 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:51:50 2022 ] Eval epoch: 102
+[ Fri Sep  2 14:52:12 2022 ] 	Mean test loss of 625 batches: 1.721625.
+[ Fri Sep  2 14:52:12 2022 ] 	Top1: 66.64%
+[ Fri Sep  2 14:52:12 2022 ] 	Top5: 93.72%
+[ Fri Sep  2 14:52:12 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:52:12 2022 ] Training epoch: 103
+[ Fri Sep  2 14:52:54 2022 ] 	Training loss: 0.9061.  Training acc: 96.30%.
+[ Fri Sep  2 14:52:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:52:54 2022 ] Eval epoch: 103
+[ Fri Sep  2 14:53:17 2022 ] 	Mean test loss of 625 batches: 1.701196.
+[ Fri Sep  2 14:53:17 2022 ] 	Top1: 67.44%
+[ Fri Sep  2 14:53:17 2022 ] 	Top5: 93.81%
+[ Fri Sep  2 14:53:17 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:53:17 2022 ] Training epoch: 104
+[ Fri Sep  2 14:53:59 2022 ] 	Training loss: 0.9010.  Training acc: 96.56%.
+[ Fri Sep  2 14:53:59 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:53:59 2022 ] Eval epoch: 104
+[ Fri Sep  2 14:54:21 2022 ] 	Mean test loss of 625 batches: 1.712564.
+[ Fri Sep  2 14:54:21 2022 ] 	Top1: 67.01%
+[ Fri Sep  2 14:54:21 2022 ] 	Top5: 93.72%
+[ Fri Sep  2 14:54:21 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:54:21 2022 ] Training epoch: 105
+[ Fri Sep  2 14:55:04 2022 ] 	Training loss: 0.9002.  Training acc: 96.54%.
+[ Fri Sep  2 14:55:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:55:04 2022 ] Eval epoch: 105
+[ Fri Sep  2 14:55:26 2022 ] 	Mean test loss of 625 batches: 1.704433.
+[ Fri Sep  2 14:55:26 2022 ] 	Top1: 67.33%
+[ Fri Sep  2 14:55:26 2022 ] 	Top5: 93.84%
+[ Fri Sep  2 14:55:26 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:55:26 2022 ] Training epoch: 106
+[ Fri Sep  2 14:56:09 2022 ] 	Training loss: 0.8996.  Training acc: 96.46%.
+[ Fri Sep  2 14:56:09 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:56:09 2022 ] Eval epoch: 106
+[ Fri Sep  2 14:56:31 2022 ] 	Mean test loss of 625 batches: 1.717365.
+[ Fri Sep  2 14:56:31 2022 ] 	Top1: 66.94%
+[ Fri Sep  2 14:56:31 2022 ] 	Top5: 93.80%
+[ Fri Sep  2 14:56:32 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:56:32 2022 ] Training epoch: 107
+[ Fri Sep  2 14:57:14 2022 ] 	Training loss: 0.8958.  Training acc: 96.72%.
+[ Fri Sep  2 14:57:14 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:57:14 2022 ] Eval epoch: 107
+[ Fri Sep  2 14:57:36 2022 ] 	Mean test loss of 625 batches: 1.718515.
+[ Fri Sep  2 14:57:36 2022 ] 	Top1: 66.73%
+[ Fri Sep  2 14:57:36 2022 ] 	Top5: 93.73%
+[ Fri Sep  2 14:57:36 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:57:36 2022 ] Training epoch: 108
+[ Fri Sep  2 14:58:19 2022 ] 	Training loss: 0.8975.  Training acc: 96.76%.
+[ Fri Sep  2 14:58:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:58:19 2022 ] Eval epoch: 108
+[ Fri Sep  2 14:58:40 2022 ] 	Mean test loss of 625 batches: 1.716565.
+[ Fri Sep  2 14:58:40 2022 ] 	Top1: 66.88%
+[ Fri Sep  2 14:58:40 2022 ] 	Top5: 93.75%
+[ Fri Sep  2 14:58:40 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:58:40 2022 ] Training epoch: 109
+[ Fri Sep  2 14:59:23 2022 ] 	Training loss: 0.8959.  Training acc: 96.56%.
+[ Fri Sep  2 14:59:23 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 14:59:23 2022 ] Eval epoch: 109
+[ Fri Sep  2 14:59:44 2022 ] 	Mean test loss of 625 batches: 1.717001.
+[ Fri Sep  2 14:59:44 2022 ] 	Top1: 66.78%
+[ Fri Sep  2 14:59:44 2022 ] 	Top5: 93.72%
+[ Fri Sep  2 14:59:44 2022 ] 	Best acc: 67.47.
+[ Fri Sep  2 14:59:44 2022 ] Training epoch: 110
+[ Fri Sep  2 15:00:26 2022 ] 	Training loss: 0.8972.  Training acc: 96.58%.
+[ Fri Sep  2 15:00:26 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 15:00:26 2022 ] Eval epoch: 110
+[ Fri Sep  2 15:00:47 2022 ] 	Mean test loss of 625 batches: 1.708384.
+[ Fri Sep  2 15:00:48 2022 ] 	Top1: 67.33%
+[ Fri Sep  2 15:00:48 2022 ] 	Top5: 93.69%
+[ Fri Sep  2 15:00:48 2022 ] 	Best acc: 67.47.

ckpt/Others/InfoGCN/ntu_60_xsub_LT/j/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7d5d202e1a05ec3cb827de6c84266894f628f16ca8d5052646a7d0175245ec9
+size 4655494

ckpt/Others/InfoGCN/ntu_60_xsub_LT/j/log.txt

@@ -0,0 +1,891 @@
+[ Fri Sep  2 10:42:56 2022 ] using warm up, epoch: 5
+[ Fri Sep  2 10:43:04 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 60, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu/NTU60_CS_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': False, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_60_xsub_LT_2/j', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 8, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 128, 'test_batch_size': 128, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Fri Sep  2 10:43:04 2022 ] # Parameters: 1556807
+[ Fri Sep  2 10:43:04 2022 ] Training epoch: 1
+[ Fri Sep  2 10:43:50 2022 ] using warm up, epoch: 5
+[ Fri Sep  2 10:43:57 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 60, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu/NTU60_CS_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': False, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_60_xsub_LT_2/j', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 8, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 128, 'test_batch_size': 128, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Fri Sep  2 10:43:57 2022 ] # Parameters: 1556807
+[ Fri Sep  2 10:43:57 2022 ] Training epoch: 1
+[ Fri Sep  2 10:44:31 2022 ] 	Training loss: 8.6490.  Training acc: 8.29%.
+[ Fri Sep  2 10:44:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 10:44:31 2022 ] Eval epoch: 1
+[ Fri Sep  2 10:44:53 2022 ] 	Mean test loss of 312 batches: 4.623842.
+[ Fri Sep  2 10:44:53 2022 ] 	Top1: 6.43%
+[ Fri Sep  2 10:44:53 2022 ] 	Top5: 16.72%
+[ Fri Sep  2 10:44:53 2022 ] 	Best acc: 6.43.
+[ Fri Sep  2 10:44:53 2022 ] Training epoch: 2
+[ Fri Sep  2 10:45:26 2022 ] 	Training loss: 4.2748.  Training acc: 15.70%.
+[ Fri Sep  2 10:45:26 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 10:45:26 2022 ] Eval epoch: 2
+[ Fri Sep  2 10:45:51 2022 ] 	Mean test loss of 312 batches: 4.114943.
+[ Fri Sep  2 10:45:51 2022 ] 	Top1: 10.58%
+[ Fri Sep  2 10:45:51 2022 ] 	Top5: 28.36%
+[ Fri Sep  2 10:45:51 2022 ] 	Best acc: 10.58.
+[ Fri Sep  2 10:45:51 2022 ] Training epoch: 3
+[ Fri Sep  2 10:46:27 2022 ] 	Training loss: 2.9945.  Training acc: 28.89%.
+[ Fri Sep  2 10:46:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 10:46:27 2022 ] Eval epoch: 3
+[ Fri Sep  2 10:46:57 2022 ] 	Mean test loss of 312 batches: 3.925956.
+[ Fri Sep  2 10:46:57 2022 ] 	Top1: 14.98%
+[ Fri Sep  2 10:46:57 2022 ] 	Top5: 34.13%
+[ Fri Sep  2 10:46:57 2022 ] 	Best acc: 14.98.
+[ Fri Sep  2 10:46:57 2022 ] Training epoch: 4
+[ Fri Sep  2 10:47:54 2022 ] 	Training loss: 2.7772.  Training acc: 34.22%.
+[ Fri Sep  2 10:47:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 10:47:54 2022 ] Eval epoch: 4
+[ Fri Sep  2 10:48:59 2022 ] 	Mean test loss of 312 batches: 3.862930.
+[ Fri Sep  2 10:48:59 2022 ] 	Top1: 12.87%
+[ Fri Sep  2 10:48:59 2022 ] 	Top5: 34.19%
+[ Fri Sep  2 10:48:59 2022 ] 	Best acc: 14.98.
+[ Fri Sep  2 10:48:59 2022 ] Training epoch: 5
+[ Fri Sep  2 10:49:39 2022 ] 	Training loss: 2.5928.  Training acc: 39.37%.
+[ Fri Sep  2 10:49:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 10:49:39 2022 ] Eval epoch: 5
+[ Fri Sep  2 10:50:55 2022 ] 	Mean test loss of 312 batches: 3.643613.
+[ Fri Sep  2 10:50:55 2022 ] 	Top1: 19.63%
+[ Fri Sep  2 10:50:55 2022 ] 	Top5: 43.93%
+[ Fri Sep  2 10:50:56 2022 ] 	Best acc: 19.63.
+[ Fri Sep  2 10:50:56 2022 ] Training epoch: 6
+[ Fri Sep  2 10:51:48 2022 ] 	Training loss: 2.4611.  Training acc: 42.76%.
+[ Fri Sep  2 10:51:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 10:51:48 2022 ] Eval epoch: 6
+[ Fri Sep  2 10:52:36 2022 ] 	Mean test loss of 312 batches: 3.444852.
+[ Fri Sep  2 10:52:36 2022 ] 	Top1: 19.96%
+[ Fri Sep  2 10:52:36 2022 ] 	Top5: 46.92%
+[ Fri Sep  2 10:52:37 2022 ] 	Best acc: 19.96.
+[ Fri Sep  2 10:52:37 2022 ] Training epoch: 7
+[ Fri Sep  2 10:53:38 2022 ] 	Training loss: 2.3673.  Training acc: 45.52%.
+[ Fri Sep  2 10:53:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 10:53:38 2022 ] Eval epoch: 7
+[ Fri Sep  2 10:54:48 2022 ] 	Mean test loss of 312 batches: 3.510676.
+[ Fri Sep  2 10:54:48 2022 ] 	Top1: 18.57%
+[ Fri Sep  2 10:54:48 2022 ] 	Top5: 44.27%
+[ Fri Sep  2 10:54:48 2022 ] 	Best acc: 19.96.
+[ Fri Sep  2 10:54:48 2022 ] Training epoch: 8
+[ Fri Sep  2 10:55:34 2022 ] 	Training loss: 2.2957.  Training acc: 48.21%.
+[ Fri Sep  2 10:55:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 10:55:34 2022 ] Eval epoch: 8
+[ Fri Sep  2 10:56:50 2022 ] 	Mean test loss of 312 batches: 3.237994.
+[ Fri Sep  2 10:56:50 2022 ] 	Top1: 25.27%
+[ Fri Sep  2 10:56:50 2022 ] 	Top5: 53.25%
+[ Fri Sep  2 10:56:51 2022 ] 	Best acc: 25.27.
+[ Fri Sep  2 10:56:51 2022 ] Training epoch: 9
+[ Fri Sep  2 10:57:39 2022 ] 	Training loss: 2.2046.  Training acc: 49.97%.
+[ Fri Sep  2 10:57:39 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Fri Sep  2 10:57:39 2022 ] Eval epoch: 9
+[ Fri Sep  2 10:58:32 2022 ] 	Mean test loss of 312 batches: 3.137780.
+[ Fri Sep  2 10:58:32 2022 ] 	Top1: 26.17%
+[ Fri Sep  2 10:58:32 2022 ] 	Top5: 55.19%
+[ Fri Sep  2 10:58:32 2022 ] 	Best acc: 26.17.
+[ Fri Sep  2 10:58:32 2022 ] Training epoch: 10
+[ Fri Sep  2 10:59:34 2022 ] 	Training loss: 2.1533.  Training acc: 51.91%.
+[ Fri Sep  2 10:59:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 10:59:34 2022 ] Eval epoch: 10
+[ Fri Sep  2 11:00:36 2022 ] 	Mean test loss of 312 batches: 3.039258.
+[ Fri Sep  2 11:00:36 2022 ] 	Top1: 25.69%
+[ Fri Sep  2 11:00:36 2022 ] 	Top5: 57.31%
+[ Fri Sep  2 11:00:36 2022 ] 	Best acc: 26.17.
+[ Fri Sep  2 11:00:36 2022 ] Training epoch: 11
+[ Fri Sep  2 11:01:19 2022 ] 	Training loss: 2.0936.  Training acc: 54.16%.
+[ Fri Sep  2 11:01:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:01:19 2022 ] Eval epoch: 11
+[ Fri Sep  2 11:02:42 2022 ] 	Mean test loss of 312 batches: 3.024375.
+[ Fri Sep  2 11:02:42 2022 ] 	Top1: 27.88%
+[ Fri Sep  2 11:02:42 2022 ] 	Top5: 59.74%
+[ Fri Sep  2 11:02:42 2022 ] 	Best acc: 27.88.
+[ Fri Sep  2 11:02:42 2022 ] Training epoch: 12
+[ Fri Sep  2 11:03:29 2022 ] 	Training loss: 2.0653.  Training acc: 55.25%.
+[ Fri Sep  2 11:03:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:03:29 2022 ] Eval epoch: 12
+[ Fri Sep  2 11:04:25 2022 ] 	Mean test loss of 312 batches: 3.035582.
+[ Fri Sep  2 11:04:25 2022 ] 	Top1: 25.20%
+[ Fri Sep  2 11:04:25 2022 ] 	Top5: 59.37%
+[ Fri Sep  2 11:04:25 2022 ] 	Best acc: 27.88.
+[ Fri Sep  2 11:04:25 2022 ] Training epoch: 13
+[ Fri Sep  2 11:05:27 2022 ] 	Training loss: 1.9863.  Training acc: 57.83%.
+[ Fri Sep  2 11:05:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:05:27 2022 ] Eval epoch: 13
+[ Fri Sep  2 11:06:27 2022 ] 	Mean test loss of 312 batches: 2.843358.
+[ Fri Sep  2 11:06:27 2022 ] 	Top1: 29.67%
+[ Fri Sep  2 11:06:27 2022 ] 	Top5: 64.07%
+[ Fri Sep  2 11:06:27 2022 ] 	Best acc: 29.67.
+[ Fri Sep  2 11:06:27 2022 ] Training epoch: 14
+[ Fri Sep  2 11:07:18 2022 ] 	Training loss: 1.9204.  Training acc: 59.71%.
+[ Fri Sep  2 11:07:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:07:18 2022 ] Eval epoch: 14
+[ Fri Sep  2 11:08:38 2022 ] 	Mean test loss of 312 batches: 2.955313.
+[ Fri Sep  2 11:08:38 2022 ] 	Top1: 28.48%
+[ Fri Sep  2 11:08:39 2022 ] 	Top5: 61.80%
+[ Fri Sep  2 11:08:39 2022 ] 	Best acc: 29.67.
+[ Fri Sep  2 11:08:39 2022 ] Training epoch: 15
+[ Fri Sep  2 11:09:22 2022 ] 	Training loss: 1.9109.  Training acc: 60.39%.
+[ Fri Sep  2 11:09:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:09:22 2022 ] Eval epoch: 15
+[ Fri Sep  2 11:10:35 2022 ] 	Mean test loss of 312 batches: 2.902341.
+[ Fri Sep  2 11:10:35 2022 ] 	Top1: 29.96%
+[ Fri Sep  2 11:10:35 2022 ] 	Top5: 66.08%
+[ Fri Sep  2 11:10:36 2022 ] 	Best acc: 29.96.
+[ Fri Sep  2 11:10:36 2022 ] Training epoch: 16
+[ Fri Sep  2 11:11:23 2022 ] 	Training loss: 1.8840.  Training acc: 61.49%.
+[ Fri Sep  2 11:11:23 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Fri Sep  2 11:11:23 2022 ] Eval epoch: 16
+[ Fri Sep  2 11:11:56 2022 ] 	Mean test loss of 312 batches: 2.672335.
+[ Fri Sep  2 11:11:56 2022 ] 	Top1: 34.52%
+[ Fri Sep  2 11:11:56 2022 ] 	Top5: 72.06%
+[ Fri Sep  2 11:11:57 2022 ] 	Best acc: 34.52.
+[ Fri Sep  2 11:11:57 2022 ] Training epoch: 17
+[ Fri Sep  2 11:12:47 2022 ] 	Training loss: 1.8310.  Training acc: 62.40%.
+[ Fri Sep  2 11:12:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Fri Sep  2 11:12:47 2022 ] Eval epoch: 17
+[ Fri Sep  2 11:13:58 2022 ] 	Mean test loss of 312 batches: 2.752158.
+[ Fri Sep  2 11:13:59 2022 ] 	Top1: 32.26%
+[ Fri Sep  2 11:13:59 2022 ] 	Top5: 66.99%
+[ Fri Sep  2 11:13:59 2022 ] 	Best acc: 34.52.
+[ Fri Sep  2 11:13:59 2022 ] Training epoch: 18
+[ Fri Sep  2 11:14:48 2022 ] 	Training loss: 1.8026.  Training acc: 64.18%.
+[ Fri Sep  2 11:14:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:14:48 2022 ] Eval epoch: 18
+[ Fri Sep  2 11:15:53 2022 ] 	Mean test loss of 312 batches: 2.636963.
+[ Fri Sep  2 11:15:54 2022 ] 	Top1: 36.29%
+[ Fri Sep  2 11:15:54 2022 ] 	Top5: 71.95%
+[ Fri Sep  2 11:15:54 2022 ] 	Best acc: 36.29.
+[ Fri Sep  2 11:15:54 2022 ] Training epoch: 19
+[ Fri Sep  2 11:16:51 2022 ] 	Training loss: 1.7720.  Training acc: 64.60%.
+[ Fri Sep  2 11:16:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:16:51 2022 ] Eval epoch: 19
+[ Fri Sep  2 11:17:34 2022 ] 	Mean test loss of 312 batches: 2.574317.
+[ Fri Sep  2 11:17:34 2022 ] 	Top1: 36.80%
+[ Fri Sep  2 11:17:34 2022 ] 	Top5: 75.02%
+[ Fri Sep  2 11:17:35 2022 ] 	Best acc: 36.80.
+[ Fri Sep  2 11:17:35 2022 ] Training epoch: 20
+[ Fri Sep  2 11:18:27 2022 ] 	Training loss: 1.7606.  Training acc: 65.50%.
+[ Fri Sep  2 11:18:27 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:18:27 2022 ] Eval epoch: 20
+[ Fri Sep  2 11:19:40 2022 ] 	Mean test loss of 312 batches: 2.576430.
+[ Fri Sep  2 11:19:40 2022 ] 	Top1: 36.15%
+[ Fri Sep  2 11:19:40 2022 ] 	Top5: 73.24%
+[ Fri Sep  2 11:19:41 2022 ] 	Best acc: 36.80.
+[ Fri Sep  2 11:19:41 2022 ] Training epoch: 21
+[ Fri Sep  2 11:20:24 2022 ] 	Training loss: 1.7275.  Training acc: 66.85%.
+[ Fri Sep  2 11:20:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Fri Sep  2 11:20:24 2022 ] Eval epoch: 21
+[ Fri Sep  2 11:21:12 2022 ] 	Mean test loss of 312 batches: 2.668129.
+[ Fri Sep  2 11:21:12 2022 ] 	Top1: 34.05%
+[ Fri Sep  2 11:21:12 2022 ] 	Top5: 72.52%
+[ Fri Sep  2 11:21:12 2022 ] 	Best acc: 36.80.
+[ Fri Sep  2 11:21:12 2022 ] Training epoch: 22
+[ Fri Sep  2 11:22:11 2022 ] 	Training loss: 1.7114.  Training acc: 67.42%.
+[ Fri Sep  2 11:22:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:22:11 2022 ] Eval epoch: 22
+[ Fri Sep  2 11:23:11 2022 ] 	Mean test loss of 312 batches: 2.712132.
+[ Fri Sep  2 11:23:11 2022 ] 	Top1: 33.98%
+[ Fri Sep  2 11:23:12 2022 ] 	Top5: 70.34%
+[ Fri Sep  2 11:23:12 2022 ] 	Best acc: 36.80.
+[ Fri Sep  2 11:23:12 2022 ] Training epoch: 23
+[ Fri Sep  2 11:23:59 2022 ] 	Training loss: 1.6814.  Training acc: 67.69%.
+[ Fri Sep  2 11:23:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:23:59 2022 ] Eval epoch: 23
+[ Fri Sep  2 11:25:07 2022 ] 	Mean test loss of 312 batches: 2.460539.
+[ Fri Sep  2 11:25:07 2022 ] 	Top1: 40.16%
+[ Fri Sep  2 11:25:07 2022 ] 	Top5: 77.53%
+[ Fri Sep  2 11:25:08 2022 ] 	Best acc: 40.16.
+[ Fri Sep  2 11:25:08 2022 ] Training epoch: 24
+[ Fri Sep  2 11:25:58 2022 ] 	Training loss: 1.6538.  Training acc: 69.45%.
+[ Fri Sep  2 11:25:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:25:58 2022 ] Eval epoch: 24
+[ Fri Sep  2 11:26:50 2022 ] 	Mean test loss of 312 batches: 2.531667.
+[ Fri Sep  2 11:26:50 2022 ] 	Top1: 38.99%
+[ Fri Sep  2 11:26:50 2022 ] 	Top5: 76.41%
+[ Fri Sep  2 11:26:50 2022 ] 	Best acc: 40.16.
+[ Fri Sep  2 11:26:50 2022 ] Training epoch: 25
+[ Fri Sep  2 11:27:46 2022 ] 	Training loss: 1.6381.  Training acc: 69.38%.
+[ Fri Sep  2 11:27:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:27:46 2022 ] Eval epoch: 25
+[ Fri Sep  2 11:28:53 2022 ] 	Mean test loss of 312 batches: 2.446676.
+[ Fri Sep  2 11:28:53 2022 ] 	Top1: 42.84%
+[ Fri Sep  2 11:28:53 2022 ] 	Top5: 78.01%
+[ Fri Sep  2 11:28:54 2022 ] 	Best acc: 42.84.
+[ Fri Sep  2 11:28:54 2022 ] Training epoch: 26
+[ Fri Sep  2 11:29:40 2022 ] 	Training loss: 1.6295.  Training acc: 69.49%.
+[ Fri Sep  2 11:29:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:29:40 2022 ] Eval epoch: 26
+[ Fri Sep  2 11:30:38 2022 ] 	Mean test loss of 312 batches: 2.536996.
+[ Fri Sep  2 11:30:39 2022 ] 	Top1: 36.50%
+[ Fri Sep  2 11:30:39 2022 ] 	Top5: 77.64%
+[ Fri Sep  2 11:30:39 2022 ] 	Best acc: 42.84.
+[ Fri Sep  2 11:30:39 2022 ] Training epoch: 27
+[ Fri Sep  2 11:31:40 2022 ] 	Training loss: 1.5930.  Training acc: 71.17%.
+[ Fri Sep  2 11:31:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:31:40 2022 ] Eval epoch: 27
+[ Fri Sep  2 11:32:32 2022 ] 	Mean test loss of 312 batches: 2.423341.
+[ Fri Sep  2 11:32:32 2022 ] 	Top1: 42.32%
+[ Fri Sep  2 11:32:33 2022 ] 	Top5: 80.47%
+[ Fri Sep  2 11:32:33 2022 ] 	Best acc: 42.84.
+[ Fri Sep  2 11:32:33 2022 ] Training epoch: 28
+[ Fri Sep  2 11:33:25 2022 ] 	Training loss: 1.5850.  Training acc: 71.68%.
+[ Fri Sep  2 11:33:25 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:33:25 2022 ] Eval epoch: 28
+[ Fri Sep  2 11:34:36 2022 ] 	Mean test loss of 312 batches: 2.406404.
+[ Fri Sep  2 11:34:36 2022 ] 	Top1: 42.38%
+[ Fri Sep  2 11:34:36 2022 ] 	Top5: 79.45%
+[ Fri Sep  2 11:34:36 2022 ] 	Best acc: 42.84.
+[ Fri Sep  2 11:34:36 2022 ] Training epoch: 29
+[ Fri Sep  2 11:35:22 2022 ] 	Training loss: 1.5702.  Training acc: 72.00%.
+[ Fri Sep  2 11:35:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:35:22 2022 ] Eval epoch: 29
+[ Fri Sep  2 11:36:22 2022 ] 	Mean test loss of 312 batches: 2.442159.
+[ Fri Sep  2 11:36:22 2022 ] 	Top1: 41.75%
+[ Fri Sep  2 11:36:23 2022 ] 	Top5: 78.40%
+[ Fri Sep  2 11:36:23 2022 ] 	Best acc: 42.84.
+[ Fri Sep  2 11:36:23 2022 ] Training epoch: 30
+[ Fri Sep  2 11:37:24 2022 ] 	Training loss: 1.5445.  Training acc: 73.01%.
+[ Fri Sep  2 11:37:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:37:24 2022 ] Eval epoch: 30
+[ Fri Sep  2 11:38:11 2022 ] 	Mean test loss of 312 batches: 2.293915.
+[ Fri Sep  2 11:38:11 2022 ] 	Top1: 45.79%
+[ Fri Sep  2 11:38:11 2022 ] 	Top5: 81.56%
+[ Fri Sep  2 11:38:11 2022 ] 	Best acc: 45.79.
+[ Fri Sep  2 11:38:11 2022 ] Training epoch: 31
+[ Fri Sep  2 11:39:04 2022 ] 	Training loss: 1.5359.  Training acc: 72.82%.
+[ Fri Sep  2 11:39:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:39:04 2022 ] Eval epoch: 31
+[ Fri Sep  2 11:40:11 2022 ] 	Mean test loss of 312 batches: 2.300005.
+[ Fri Sep  2 11:40:11 2022 ] 	Top1: 46.42%
+[ Fri Sep  2 11:40:11 2022 ] 	Top5: 80.97%
+[ Fri Sep  2 11:40:11 2022 ] 	Best acc: 46.42.
+[ Fri Sep  2 11:40:11 2022 ] Training epoch: 32
+[ Fri Sep  2 11:41:04 2022 ] 	Training loss: 1.4956.  Training acc: 74.23%.
+[ Fri Sep  2 11:41:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:41:04 2022 ] Eval epoch: 32
+[ Fri Sep  2 11:41:49 2022 ] 	Mean test loss of 312 batches: 2.259913.
+[ Fri Sep  2 11:41:49 2022 ] 	Top1: 45.34%
+[ Fri Sep  2 11:41:49 2022 ] 	Top5: 82.70%
+[ Fri Sep  2 11:41:50 2022 ] 	Best acc: 46.42.
+[ Fri Sep  2 11:41:50 2022 ] Training epoch: 33
+[ Fri Sep  2 11:42:52 2022 ] 	Training loss: 1.5009.  Training acc: 74.15%.
+[ Fri Sep  2 11:42:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:42:52 2022 ] Eval epoch: 33
+[ Fri Sep  2 11:43:56 2022 ] 	Mean test loss of 312 batches: 2.218819.
+[ Fri Sep  2 11:43:56 2022 ] 	Top1: 48.58%
+[ Fri Sep  2 11:43:56 2022 ] 	Top5: 85.39%
+[ Fri Sep  2 11:43:56 2022 ] 	Best acc: 48.58.
+[ Fri Sep  2 11:43:56 2022 ] Training epoch: 34
+[ Fri Sep  2 11:44:46 2022 ] 	Training loss: 1.4853.  Training acc: 74.68%.
+[ Fri Sep  2 11:44:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:44:46 2022 ] Eval epoch: 34
+[ Fri Sep  2 11:45:34 2022 ] 	Mean test loss of 312 batches: 2.192658.
+[ Fri Sep  2 11:45:34 2022 ] 	Top1: 50.05%
+[ Fri Sep  2 11:45:34 2022 ] 	Top5: 84.16%
+[ Fri Sep  2 11:45:34 2022 ] 	Best acc: 50.05.
+[ Fri Sep  2 11:45:34 2022 ] Training epoch: 35
+[ Fri Sep  2 11:46:39 2022 ] 	Training loss: 1.4687.  Training acc: 75.56%.
+[ Fri Sep  2 11:46:39 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:46:39 2022 ] Eval epoch: 35
+[ Fri Sep  2 11:47:25 2022 ] 	Mean test loss of 312 batches: 2.412418.
+[ Fri Sep  2 11:47:25 2022 ] 	Top1: 43.45%
+[ Fri Sep  2 11:47:25 2022 ] 	Top5: 81.28%
+[ Fri Sep  2 11:47:25 2022 ] 	Best acc: 50.05.
+[ Fri Sep  2 11:47:25 2022 ] Training epoch: 36
+[ Fri Sep  2 11:48:16 2022 ] 	Training loss: 1.4633.  Training acc: 75.63%.
+[ Fri Sep  2 11:48:16 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:48:16 2022 ] Eval epoch: 36
+[ Fri Sep  2 11:49:27 2022 ] 	Mean test loss of 312 batches: 2.247796.
+[ Fri Sep  2 11:49:27 2022 ] 	Top1: 46.72%
+[ Fri Sep  2 11:49:28 2022 ] 	Top5: 84.36%
+[ Fri Sep  2 11:49:28 2022 ] 	Best acc: 50.05.
+[ Fri Sep  2 11:49:28 2022 ] Training epoch: 37
+[ Fri Sep  2 11:50:29 2022 ] 	Training loss: 1.4557.  Training acc: 75.74%.
+[ Fri Sep  2 11:50:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:50:29 2022 ] Eval epoch: 37
+[ Fri Sep  2 11:51:04 2022 ] 	Mean test loss of 312 batches: 2.269115.
+[ Fri Sep  2 11:51:04 2022 ] 	Top1: 47.60%
+[ Fri Sep  2 11:51:04 2022 ] 	Top5: 84.98%
+[ Fri Sep  2 11:51:04 2022 ] 	Best acc: 50.05.
+[ Fri Sep  2 11:51:04 2022 ] Training epoch: 38
+[ Fri Sep  2 11:52:01 2022 ] 	Training loss: 1.4479.  Training acc: 76.58%.
+[ Fri Sep  2 11:52:01 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:52:01 2022 ] Eval epoch: 38
+[ Fri Sep  2 11:53:13 2022 ] 	Mean test loss of 312 batches: 2.214339.
+[ Fri Sep  2 11:53:13 2022 ] 	Top1: 46.88%
+[ Fri Sep  2 11:53:13 2022 ] 	Top5: 85.78%
+[ Fri Sep  2 11:53:13 2022 ] 	Best acc: 50.05.
+[ Fri Sep  2 11:53:13 2022 ] Training epoch: 39
+[ Fri Sep  2 11:54:02 2022 ] 	Training loss: 1.4158.  Training acc: 77.31%.
+[ Fri Sep  2 11:54:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:54:02 2022 ] Eval epoch: 39
+[ Fri Sep  2 11:54:41 2022 ] 	Mean test loss of 312 batches: 2.126885.
+[ Fri Sep  2 11:54:41 2022 ] 	Top1: 50.62%
+[ Fri Sep  2 11:54:41 2022 ] 	Top5: 85.52%
+[ Fri Sep  2 11:54:42 2022 ] 	Best acc: 50.62.
+[ Fri Sep  2 11:54:42 2022 ] Training epoch: 40
+[ Fri Sep  2 11:55:47 2022 ] 	Training loss: 1.4003.  Training acc: 77.87%.
+[ Fri Sep  2 11:55:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 11:55:47 2022 ] Eval epoch: 40
+[ Fri Sep  2 11:56:41 2022 ] 	Mean test loss of 312 batches: 2.240037.
+[ Fri Sep  2 11:56:41 2022 ] 	Top1: 47.36%
+[ Fri Sep  2 11:56:41 2022 ] 	Top5: 84.85%
+[ Fri Sep  2 11:56:41 2022 ] 	Best acc: 50.62.
+[ Fri Sep  2 11:56:42 2022 ] Training epoch: 41
+[ Fri Sep  2 11:57:27 2022 ] 	Training loss: 1.4083.  Training acc: 77.88%.
+[ Fri Sep  2 11:57:27 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:57:27 2022 ] Eval epoch: 41
+[ Fri Sep  2 11:58:36 2022 ] 	Mean test loss of 312 batches: 2.336117.
+[ Fri Sep  2 11:58:37 2022 ] 	Top1: 44.10%
+[ Fri Sep  2 11:58:37 2022 ] 	Top5: 82.12%
+[ Fri Sep  2 11:58:37 2022 ] 	Best acc: 50.62.
+[ Fri Sep  2 11:58:37 2022 ] Training epoch: 42
+[ Fri Sep  2 11:59:36 2022 ] 	Training loss: 1.3945.  Training acc: 78.06%.
+[ Fri Sep  2 11:59:36 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 11:59:36 2022 ] Eval epoch: 42
+[ Fri Sep  2 12:00:15 2022 ] 	Mean test loss of 312 batches: 2.187987.
+[ Fri Sep  2 12:00:16 2022 ] 	Top1: 49.61%
+[ Fri Sep  2 12:00:16 2022 ] 	Top5: 87.23%
+[ Fri Sep  2 12:00:16 2022 ] 	Best acc: 50.62.
+[ Fri Sep  2 12:00:16 2022 ] Training epoch: 43
+[ Fri Sep  2 12:01:12 2022 ] 	Training loss: 1.3784.  Training acc: 78.78%.
+[ Fri Sep  2 12:01:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:01:12 2022 ] Eval epoch: 43
+[ Fri Sep  2 12:02:21 2022 ] 	Mean test loss of 312 batches: 2.134179.
+[ Fri Sep  2 12:02:21 2022 ] 	Top1: 49.91%
+[ Fri Sep  2 12:02:21 2022 ] 	Top5: 86.75%
+[ Fri Sep  2 12:02:21 2022 ] 	Best acc: 50.62.
+[ Fri Sep  2 12:02:21 2022 ] Training epoch: 44
+[ Fri Sep  2 12:03:17 2022 ] 	Training loss: 1.3660.  Training acc: 79.01%.
+[ Fri Sep  2 12:03:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:03:17 2022 ] Eval epoch: 44
+[ Fri Sep  2 12:04:02 2022 ] 	Mean test loss of 312 batches: 2.196566.
+[ Fri Sep  2 12:04:02 2022 ] 	Top1: 48.87%
+[ Fri Sep  2 12:04:02 2022 ] 	Top5: 85.89%
+[ Fri Sep  2 12:04:02 2022 ] 	Best acc: 50.62.
+[ Fri Sep  2 12:04:02 2022 ] Training epoch: 45
+[ Fri Sep  2 12:05:01 2022 ] 	Training loss: 1.3558.  Training acc: 79.26%.
+[ Fri Sep  2 12:05:01 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:05:01 2022 ] Eval epoch: 45
+[ Fri Sep  2 12:06:06 2022 ] 	Mean test loss of 312 batches: 2.230646.
+[ Fri Sep  2 12:06:06 2022 ] 	Top1: 49.32%
+[ Fri Sep  2 12:06:06 2022 ] 	Top5: 86.05%
+[ Fri Sep  2 12:06:06 2022 ] 	Best acc: 50.62.
+[ Fri Sep  2 12:06:06 2022 ] Training epoch: 46
+[ Fri Sep  2 12:06:56 2022 ] 	Training loss: 1.3340.  Training acc: 80.66%.
+[ Fri Sep  2 12:06:56 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:06:56 2022 ] Eval epoch: 46
+[ Fri Sep  2 12:08:00 2022 ] 	Mean test loss of 312 batches: 2.152257.
+[ Fri Sep  2 12:08:00 2022 ] 	Top1: 50.68%
+[ Fri Sep  2 12:08:01 2022 ] 	Top5: 88.01%
+[ Fri Sep  2 12:08:01 2022 ] 	Best acc: 50.68.
+[ Fri Sep  2 12:08:01 2022 ] Training epoch: 47
+[ Fri Sep  2 12:09:01 2022 ] 	Training loss: 1.3221.  Training acc: 80.81%.
+[ Fri Sep  2 12:09:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:09:01 2022 ] Eval epoch: 47
+[ Fri Sep  2 12:09:43 2022 ] 	Mean test loss of 312 batches: 2.204373.
+[ Fri Sep  2 12:09:43 2022 ] 	Top1: 49.09%
+[ Fri Sep  2 12:09:43 2022 ] 	Top5: 84.97%
+[ Fri Sep  2 12:09:43 2022 ] 	Best acc: 50.68.
+[ Fri Sep  2 12:09:43 2022 ] Training epoch: 48
+[ Fri Sep  2 12:10:37 2022 ] 	Training loss: 1.3174.  Training acc: 80.96%.
+[ Fri Sep  2 12:10:37 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:10:37 2022 ] Eval epoch: 48
+[ Fri Sep  2 12:11:48 2022 ] 	Mean test loss of 312 batches: 2.087125.
+[ Fri Sep  2 12:11:48 2022 ] 	Top1: 52.15%
+[ Fri Sep  2 12:11:48 2022 ] 	Top5: 88.43%
+[ Fri Sep  2 12:11:48 2022 ] 	Best acc: 52.15.
+[ Fri Sep  2 12:11:48 2022 ] Training epoch: 49
+[ Fri Sep  2 12:12:42 2022 ] 	Training loss: 1.3334.  Training acc: 80.12%.
+[ Fri Sep  2 12:12:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:12:42 2022 ] Eval epoch: 49
+[ Fri Sep  2 12:13:31 2022 ] 	Mean test loss of 312 batches: 2.182873.
+[ Fri Sep  2 12:13:31 2022 ] 	Top1: 51.07%
+[ Fri Sep  2 12:13:31 2022 ] 	Top5: 85.79%
+[ Fri Sep  2 12:13:31 2022 ] 	Best acc: 52.15.
+[ Fri Sep  2 12:13:31 2022 ] Training epoch: 50
+[ Fri Sep  2 12:14:31 2022 ] 	Training loss: 1.3098.  Training acc: 81.31%.
+[ Fri Sep  2 12:14:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:14:31 2022 ] Eval epoch: 50
+[ Fri Sep  2 12:15:36 2022 ] 	Mean test loss of 312 batches: 2.267405.
+[ Fri Sep  2 12:15:36 2022 ] 	Top1: 49.38%
+[ Fri Sep  2 12:15:36 2022 ] 	Top5: 85.26%
+[ Fri Sep  2 12:15:37 2022 ] 	Best acc: 52.15.
+[ Fri Sep  2 12:15:37 2022 ] Training epoch: 51
+[ Fri Sep  2 12:16:27 2022 ] 	Training loss: 1.3070.  Training acc: 81.51%.
+[ Fri Sep  2 12:16:27 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Fri Sep  2 12:16:27 2022 ] Eval epoch: 51
+[ Fri Sep  2 12:17:28 2022 ] 	Mean test loss of 312 batches: 2.144575.
+[ Fri Sep  2 12:17:28 2022 ] 	Top1: 52.35%
+[ Fri Sep  2 12:17:28 2022 ] 	Top5: 86.84%
+[ Fri Sep  2 12:17:28 2022 ] 	Best acc: 52.35.
+[ Fri Sep  2 12:17:28 2022 ] Training epoch: 52
+[ Fri Sep  2 12:18:32 2022 ] 	Training loss: 1.3032.  Training acc: 81.15%.
+[ Fri Sep  2 12:18:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:18:32 2022 ] Eval epoch: 52
+[ Fri Sep  2 12:19:14 2022 ] 	Mean test loss of 312 batches: 2.095611.
+[ Fri Sep  2 12:19:14 2022 ] 	Top1: 52.85%
+[ Fri Sep  2 12:19:14 2022 ] 	Top5: 88.51%
+[ Fri Sep  2 12:19:15 2022 ] 	Best acc: 52.85.
+[ Fri Sep  2 12:19:15 2022 ] Training epoch: 53
+[ Fri Sep  2 12:20:06 2022 ] 	Training loss: 1.2877.  Training acc: 82.04%.
+[ Fri Sep  2 12:20:06 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:20:06 2022 ] Eval epoch: 53
+[ Fri Sep  2 12:21:18 2022 ] 	Mean test loss of 312 batches: 2.309826.
+[ Fri Sep  2 12:21:18 2022 ] 	Top1: 48.20%
+[ Fri Sep  2 12:21:18 2022 ] 	Top5: 84.48%
+[ Fri Sep  2 12:21:18 2022 ] 	Best acc: 52.85.
+[ Fri Sep  2 12:21:18 2022 ] Training epoch: 54
+[ Fri Sep  2 12:22:15 2022 ] 	Training loss: 1.2818.  Training acc: 82.74%.
+[ Fri Sep  2 12:22:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:22:15 2022 ] Eval epoch: 54
+[ Fri Sep  2 12:22:49 2022 ] 	Mean test loss of 312 batches: 2.158589.
+[ Fri Sep  2 12:22:49 2022 ] 	Top1: 52.19%
+[ Fri Sep  2 12:22:50 2022 ] 	Top5: 86.95%
+[ Fri Sep  2 12:22:50 2022 ] 	Best acc: 52.85.
+[ Fri Sep  2 12:22:50 2022 ] Training epoch: 55
+[ Fri Sep  2 12:23:50 2022 ] 	Training loss: 1.2653.  Training acc: 82.71%.
+[ Fri Sep  2 12:23:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:23:50 2022 ] Eval epoch: 55
+[ Fri Sep  2 12:25:01 2022 ] 	Mean test loss of 312 batches: 2.024965.
+[ Fri Sep  2 12:25:01 2022 ] 	Top1: 55.58%
+[ Fri Sep  2 12:25:01 2022 ] 	Top5: 89.29%
+[ Fri Sep  2 12:25:02 2022 ] 	Best acc: 55.58.
+[ Fri Sep  2 12:25:02 2022 ] Training epoch: 56
+[ Fri Sep  2 12:25:50 2022 ] 	Training loss: 1.2596.  Training acc: 83.25%.
+[ Fri Sep  2 12:25:50 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:25:50 2022 ] Eval epoch: 56
+[ Fri Sep  2 12:26:43 2022 ] 	Mean test loss of 312 batches: 2.107059.
+[ Fri Sep  2 12:26:43 2022 ] 	Top1: 53.26%
+[ Fri Sep  2 12:26:43 2022 ] 	Top5: 87.83%
+[ Fri Sep  2 12:26:43 2022 ] 	Best acc: 55.58.
+[ Fri Sep  2 12:26:43 2022 ] Training epoch: 57
+[ Fri Sep  2 12:27:46 2022 ] 	Training loss: 1.2549.  Training acc: 83.29%.
+[ Fri Sep  2 12:27:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:27:46 2022 ] Eval epoch: 57
+[ Fri Sep  2 12:28:38 2022 ] 	Mean test loss of 312 batches: 2.020542.
+[ Fri Sep  2 12:28:38 2022 ] 	Top1: 55.86%
+[ Fri Sep  2 12:28:38 2022 ] 	Top5: 89.90%
+[ Fri Sep  2 12:28:38 2022 ] 	Best acc: 55.86.
+[ Fri Sep  2 12:28:38 2022 ] Training epoch: 58
+[ Fri Sep  2 12:29:29 2022 ] 	Training loss: 1.2347.  Training acc: 84.08%.
+[ Fri Sep  2 12:29:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:29:29 2022 ] Eval epoch: 58
+[ Fri Sep  2 12:30:39 2022 ] 	Mean test loss of 312 batches: 2.088867.
+[ Fri Sep  2 12:30:39 2022 ] 	Top1: 54.98%
+[ Fri Sep  2 12:30:39 2022 ] 	Top5: 87.63%
+[ Fri Sep  2 12:30:39 2022 ] 	Best acc: 55.86.
+[ Fri Sep  2 12:30:39 2022 ] Training epoch: 59
+[ Fri Sep  2 12:31:37 2022 ] 	Training loss: 1.2505.  Training acc: 82.99%.
+[ Fri Sep  2 12:31:37 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:31:37 2022 ] Eval epoch: 59
+[ Fri Sep  2 12:32:19 2022 ] 	Mean test loss of 312 batches: 2.129195.
+[ Fri Sep  2 12:32:19 2022 ] 	Top1: 53.22%
+[ Fri Sep  2 12:32:19 2022 ] 	Top5: 87.00%
+[ Fri Sep  2 12:32:19 2022 ] 	Best acc: 55.86.
+[ Fri Sep  2 12:32:19 2022 ] Training epoch: 60
+[ Fri Sep  2 12:33:13 2022 ] 	Training loss: 1.2409.  Training acc: 83.81%.
+[ Fri Sep  2 12:33:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:33:13 2022 ] Eval epoch: 60
+[ Fri Sep  2 12:34:22 2022 ] 	Mean test loss of 312 batches: 2.129133.
+[ Fri Sep  2 12:34:22 2022 ] 	Top1: 53.99%
+[ Fri Sep  2 12:34:22 2022 ] 	Top5: 87.28%
+[ Fri Sep  2 12:34:22 2022 ] 	Best acc: 55.86.
+[ Fri Sep  2 12:34:22 2022 ] Training epoch: 61
+[ Fri Sep  2 12:35:18 2022 ] 	Training loss: 1.2429.  Training acc: 83.66%.
+[ Fri Sep  2 12:35:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:35:18 2022 ] Eval epoch: 61
+[ Fri Sep  2 12:36:02 2022 ] 	Mean test loss of 312 batches: 2.009429.
+[ Fri Sep  2 12:36:02 2022 ] 	Top1: 55.74%
+[ Fri Sep  2 12:36:02 2022 ] 	Top5: 88.92%
+[ Fri Sep  2 12:36:02 2022 ] 	Best acc: 55.86.
+[ Fri Sep  2 12:36:02 2022 ] Training epoch: 62
+[ Fri Sep  2 12:37:01 2022 ] 	Training loss: 1.2369.  Training acc: 83.80%.
+[ Fri Sep  2 12:37:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:37:01 2022 ] Eval epoch: 62
+[ Fri Sep  2 12:38:10 2022 ] 	Mean test loss of 312 batches: 2.071076.
+[ Fri Sep  2 12:38:11 2022 ] 	Top1: 54.11%
+[ Fri Sep  2 12:38:11 2022 ] 	Top5: 88.66%
+[ Fri Sep  2 12:38:11 2022 ] 	Best acc: 55.86.
+[ Fri Sep  2 12:38:11 2022 ] Training epoch: 63
+[ Fri Sep  2 12:38:58 2022 ] 	Training loss: 1.2171.  Training acc: 84.64%.
+[ Fri Sep  2 12:38:58 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:38:58 2022 ] Eval epoch: 63
+[ Fri Sep  2 12:39:57 2022 ] 	Mean test loss of 312 batches: 1.957642.
+[ Fri Sep  2 12:39:57 2022 ] 	Top1: 58.21%
+[ Fri Sep  2 12:39:57 2022 ] 	Top5: 89.60%
+[ Fri Sep  2 12:39:58 2022 ] 	Best acc: 58.21.
+[ Fri Sep  2 12:39:58 2022 ] Training epoch: 64
+[ Fri Sep  2 12:41:01 2022 ] 	Training loss: 1.2240.  Training acc: 83.91%.
+[ Fri Sep  2 12:41:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:41:01 2022 ] Eval epoch: 64
+[ Fri Sep  2 12:41:45 2022 ] 	Mean test loss of 312 batches: 1.973690.
+[ Fri Sep  2 12:41:46 2022 ] 	Top1: 58.43%
+[ Fri Sep  2 12:41:46 2022 ] 	Top5: 88.60%
+[ Fri Sep  2 12:41:46 2022 ] 	Best acc: 58.43.
+[ Fri Sep  2 12:41:46 2022 ] Training epoch: 65
+[ Fri Sep  2 12:42:35 2022 ] 	Training loss: 1.2114.  Training acc: 84.94%.
+[ Fri Sep  2 12:42:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:42:35 2022 ] Eval epoch: 65
+[ Fri Sep  2 12:43:52 2022 ] 	Mean test loss of 312 batches: 1.949538.
+[ Fri Sep  2 12:43:52 2022 ] 	Top1: 58.58%
+[ Fri Sep  2 12:43:52 2022 ] 	Top5: 90.78%
+[ Fri Sep  2 12:43:53 2022 ] 	Best acc: 58.58.
+[ Fri Sep  2 12:43:53 2022 ] Training epoch: 66
+[ Fri Sep  2 12:44:46 2022 ] 	Training loss: 1.1977.  Training acc: 85.66%.
+[ Fri Sep  2 12:44:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:44:46 2022 ] Eval epoch: 66
+[ Fri Sep  2 12:45:21 2022 ] 	Mean test loss of 312 batches: 2.057126.
+[ Fri Sep  2 12:45:22 2022 ] 	Top1: 54.82%
+[ Fri Sep  2 12:45:22 2022 ] 	Top5: 89.40%
+[ Fri Sep  2 12:45:22 2022 ] 	Best acc: 58.58.
+[ Fri Sep  2 12:45:22 2022 ] Training epoch: 67
+[ Fri Sep  2 12:46:19 2022 ] 	Training loss: 1.1866.  Training acc: 85.59%.
+[ Fri Sep  2 12:46:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:46:19 2022 ] Eval epoch: 67
+[ Fri Sep  2 12:47:34 2022 ] 	Mean test loss of 312 batches: 2.017025.
+[ Fri Sep  2 12:47:34 2022 ] 	Top1: 56.44%
+[ Fri Sep  2 12:47:34 2022 ] 	Top5: 88.64%
+[ Fri Sep  2 12:47:34 2022 ] 	Best acc: 58.58.
+[ Fri Sep  2 12:47:34 2022 ] Training epoch: 68
+[ Fri Sep  2 12:48:19 2022 ] 	Training loss: 1.1888.  Training acc: 85.57%.
+[ Fri Sep  2 12:48:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:48:19 2022 ] Eval epoch: 68
+[ Fri Sep  2 12:49:10 2022 ] 	Mean test loss of 312 batches: 1.888906.
+[ Fri Sep  2 12:49:11 2022 ] 	Top1: 61.27%
+[ Fri Sep  2 12:49:11 2022 ] 	Top5: 90.44%
+[ Fri Sep  2 12:49:11 2022 ] 	Best acc: 61.27.
+[ Fri Sep  2 12:49:11 2022 ] Training epoch: 69
+[ Fri Sep  2 12:50:14 2022 ] 	Training loss: 1.1767.  Training acc: 86.19%.
+[ Fri Sep  2 12:50:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Fri Sep  2 12:50:14 2022 ] Eval epoch: 69
+[ Fri Sep  2 12:51:08 2022 ] 	Mean test loss of 312 batches: 2.038519.
+[ Fri Sep  2 12:51:08 2022 ] 	Top1: 56.38%
+[ Fri Sep  2 12:51:08 2022 ] 	Top5: 89.80%
+[ Fri Sep  2 12:51:08 2022 ] 	Best acc: 61.27.
+[ Fri Sep  2 12:51:08 2022 ] Training epoch: 70
+[ Fri Sep  2 12:51:51 2022 ] 	Training loss: 1.1628.  Training acc: 86.96%.
+[ Fri Sep  2 12:51:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:51:51 2022 ] Eval epoch: 70
+[ Fri Sep  2 12:53:03 2022 ] 	Mean test loss of 312 batches: 1.961004.
+[ Fri Sep  2 12:53:03 2022 ] 	Top1: 59.50%
+[ Fri Sep  2 12:53:03 2022 ] 	Top5: 90.43%
+[ Fri Sep  2 12:53:03 2022 ] 	Best acc: 61.27.
+[ Fri Sep  2 12:53:03 2022 ] Training epoch: 71
+[ Fri Sep  2 12:54:04 2022 ] 	Training loss: 1.1749.  Training acc: 86.67%.
+[ Fri Sep  2 12:54:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:54:04 2022 ] Eval epoch: 71
+[ Fri Sep  2 12:54:39 2022 ] 	Mean test loss of 312 batches: 1.963382.
+[ Fri Sep  2 12:54:39 2022 ] 	Top1: 58.09%
+[ Fri Sep  2 12:54:40 2022 ] 	Top5: 89.76%
+[ Fri Sep  2 12:54:40 2022 ] 	Best acc: 61.27.
+[ Fri Sep  2 12:54:40 2022 ] Training epoch: 72
+[ Fri Sep  2 12:55:33 2022 ] 	Training loss: 1.1648.  Training acc: 86.83%.
+[ Fri Sep  2 12:55:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:55:33 2022 ] Eval epoch: 72
+[ Fri Sep  2 12:56:47 2022 ] 	Mean test loss of 312 batches: 2.075865.
+[ Fri Sep  2 12:56:47 2022 ] 	Top1: 56.15%
+[ Fri Sep  2 12:56:47 2022 ] 	Top5: 88.34%
+[ Fri Sep  2 12:56:48 2022 ] 	Best acc: 61.27.
+[ Fri Sep  2 12:56:48 2022 ] Training epoch: 73
+[ Fri Sep  2 12:57:36 2022 ] 	Training loss: 1.1620.  Training acc: 86.86%.
+[ Fri Sep  2 12:57:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 12:57:36 2022 ] Eval epoch: 73
+[ Fri Sep  2 12:58:15 2022 ] 	Mean test loss of 312 batches: 2.029265.
+[ Fri Sep  2 12:58:16 2022 ] 	Top1: 56.51%
+[ Fri Sep  2 12:58:16 2022 ] 	Top5: 89.28%
+[ Fri Sep  2 12:58:16 2022 ] 	Best acc: 61.27.
+[ Fri Sep  2 12:58:16 2022 ] Training epoch: 74
+[ Fri Sep  2 12:59:18 2022 ] 	Training loss: 1.1443.  Training acc: 87.14%.
+[ Fri Sep  2 12:59:18 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 12:59:18 2022 ] Eval epoch: 74
+[ Fri Sep  2 13:00:25 2022 ] 	Mean test loss of 312 batches: 2.015529.
+[ Fri Sep  2 13:00:25 2022 ] 	Top1: 59.39%
+[ Fri Sep  2 13:00:25 2022 ] 	Top5: 90.10%
+[ Fri Sep  2 13:00:25 2022 ] 	Best acc: 61.27.
+[ Fri Sep  2 13:00:25 2022 ] Training epoch: 75
+[ Fri Sep  2 13:01:14 2022 ] 	Training loss: 1.1723.  Training acc: 85.72%.
+[ Fri Sep  2 13:01:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Fri Sep  2 13:01:14 2022 ] Eval epoch: 75
+[ Fri Sep  2 13:02:16 2022 ] 	Mean test loss of 312 batches: 1.916202.
+[ Fri Sep  2 13:02:16 2022 ] 	Top1: 61.08%
+[ Fri Sep  2 13:02:17 2022 ] 	Top5: 89.74%
+[ Fri Sep  2 13:02:17 2022 ] 	Best acc: 61.27.
+[ Fri Sep  2 13:02:17 2022 ] Training epoch: 76
+[ Fri Sep  2 13:03:17 2022 ] 	Training loss: 1.1294.  Training acc: 88.40%.
+[ Fri Sep  2 13:03:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:03:17 2022 ] Eval epoch: 76
+[ Fri Sep  2 13:04:10 2022 ] 	Mean test loss of 312 batches: 1.999948.
+[ Fri Sep  2 13:04:10 2022 ] 	Top1: 57.10%
+[ Fri Sep  2 13:04:10 2022 ] 	Top5: 90.53%
+[ Fri Sep  2 13:04:10 2022 ] 	Best acc: 61.27.
+[ Fri Sep  2 13:04:10 2022 ] Training epoch: 77
+[ Fri Sep  2 13:05:00 2022 ] 	Training loss: 1.1340.  Training acc: 87.62%.
+[ Fri Sep  2 13:05:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:05:00 2022 ] Eval epoch: 77
+[ Fri Sep  2 13:06:06 2022 ] 	Mean test loss of 312 batches: 1.849194.
+[ Fri Sep  2 13:06:06 2022 ] 	Top1: 62.32%
+[ Fri Sep  2 13:06:06 2022 ] 	Top5: 91.37%
+[ Fri Sep  2 13:06:07 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:06:07 2022 ] Training epoch: 78
+[ Fri Sep  2 13:07:06 2022 ] 	Training loss: 1.1280.  Training acc: 88.17%.
+[ Fri Sep  2 13:07:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:07:06 2022 ] Eval epoch: 78
+[ Fri Sep  2 13:07:53 2022 ] 	Mean test loss of 312 batches: 1.905023.
+[ Fri Sep  2 13:07:53 2022 ] 	Top1: 60.69%
+[ Fri Sep  2 13:07:53 2022 ] 	Top5: 91.05%
+[ Fri Sep  2 13:07:53 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:07:53 2022 ] Training epoch: 79
+[ Fri Sep  2 13:08:49 2022 ] 	Training loss: 1.0972.  Training acc: 88.78%.
+[ Fri Sep  2 13:08:49 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:08:49 2022 ] Eval epoch: 79
+[ Fri Sep  2 13:10:02 2022 ] 	Mean test loss of 312 batches: 1.996526.
+[ Fri Sep  2 13:10:02 2022 ] 	Top1: 59.22%
+[ Fri Sep  2 13:10:02 2022 ] 	Top5: 89.04%
+[ Fri Sep  2 13:10:02 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:10:02 2022 ] Training epoch: 80
+[ Fri Sep  2 13:10:48 2022 ] 	Training loss: 1.1257.  Training acc: 87.91%.
+[ Fri Sep  2 13:10:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:10:48 2022 ] Eval epoch: 80
+[ Fri Sep  2 13:11:42 2022 ] 	Mean test loss of 312 batches: 2.119667.
+[ Fri Sep  2 13:11:42 2022 ] 	Top1: 54.13%
+[ Fri Sep  2 13:11:42 2022 ] 	Top5: 87.53%
+[ Fri Sep  2 13:11:42 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:11:42 2022 ] Training epoch: 81
+[ Fri Sep  2 13:12:45 2022 ] 	Training loss: 1.1263.  Training acc: 88.00%.
+[ Fri Sep  2 13:12:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:12:45 2022 ] Eval epoch: 81
+[ Fri Sep  2 13:13:47 2022 ] 	Mean test loss of 312 batches: 1.908923.
+[ Fri Sep  2 13:13:47 2022 ] 	Top1: 61.51%
+[ Fri Sep  2 13:13:47 2022 ] 	Top5: 90.99%
+[ Fri Sep  2 13:13:47 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:13:47 2022 ] Training epoch: 82
+[ Fri Sep  2 13:14:33 2022 ] 	Training loss: 1.1185.  Training acc: 88.55%.
+[ Fri Sep  2 13:14:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:14:34 2022 ] Eval epoch: 82
+[ Fri Sep  2 13:15:49 2022 ] 	Mean test loss of 312 batches: 1.901592.
+[ Fri Sep  2 13:15:49 2022 ] 	Top1: 60.55%
+[ Fri Sep  2 13:15:50 2022 ] 	Top5: 90.45%
+[ Fri Sep  2 13:15:50 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:15:50 2022 ] Training epoch: 83
+[ Fri Sep  2 13:16:44 2022 ] 	Training loss: 1.0888.  Training acc: 89.50%.
+[ Fri Sep  2 13:16:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:16:44 2022 ] Eval epoch: 83
+[ Fri Sep  2 13:17:18 2022 ] 	Mean test loss of 312 batches: 1.990975.
+[ Fri Sep  2 13:17:18 2022 ] 	Top1: 58.99%
+[ Fri Sep  2 13:17:19 2022 ] 	Top5: 89.02%
+[ Fri Sep  2 13:17:19 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:17:19 2022 ] Training epoch: 84
+[ Fri Sep  2 13:18:16 2022 ] 	Training loss: 1.1022.  Training acc: 88.96%.
+[ Fri Sep  2 13:18:16 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:18:16 2022 ] Eval epoch: 84
+[ Fri Sep  2 13:19:33 2022 ] 	Mean test loss of 312 batches: 2.016578.
+[ Fri Sep  2 13:19:33 2022 ] 	Top1: 57.37%
+[ Fri Sep  2 13:19:33 2022 ] 	Top5: 89.46%
+[ Fri Sep  2 13:19:33 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:19:33 2022 ] Training epoch: 85
+[ Fri Sep  2 13:20:15 2022 ] 	Training loss: 1.0870.  Training acc: 89.56%.
+[ Fri Sep  2 13:20:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:20:15 2022 ] Eval epoch: 85
+[ Fri Sep  2 13:21:09 2022 ] 	Mean test loss of 312 batches: 1.938026.
+[ Fri Sep  2 13:21:09 2022 ] 	Top1: 59.24%
+[ Fri Sep  2 13:21:09 2022 ] 	Top5: 90.39%
+[ Fri Sep  2 13:21:09 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:21:09 2022 ] Training epoch: 86
+[ Fri Sep  2 13:22:12 2022 ] 	Training loss: 1.0851.  Training acc: 89.54%.
+[ Fri Sep  2 13:22:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:22:12 2022 ] Eval epoch: 86
+[ Fri Sep  2 13:23:02 2022 ] 	Mean test loss of 312 batches: 1.944781.
+[ Fri Sep  2 13:23:02 2022 ] 	Top1: 60.24%
+[ Fri Sep  2 13:23:02 2022 ] 	Top5: 90.38%
+[ Fri Sep  2 13:23:02 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:23:02 2022 ] Training epoch: 87
+[ Fri Sep  2 13:23:49 2022 ] 	Training loss: 1.0773.  Training acc: 89.88%.
+[ Fri Sep  2 13:23:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:23:49 2022 ] Eval epoch: 87
+[ Fri Sep  2 13:25:04 2022 ] 	Mean test loss of 312 batches: 2.066891.
+[ Fri Sep  2 13:25:04 2022 ] 	Top1: 57.36%
+[ Fri Sep  2 13:25:04 2022 ] 	Top5: 89.33%
+[ Fri Sep  2 13:25:05 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:25:05 2022 ] Training epoch: 88
+[ Fri Sep  2 13:26:01 2022 ] 	Training loss: 1.0849.  Training acc: 89.34%.
+[ Fri Sep  2 13:26:01 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:26:01 2022 ] Eval epoch: 88
+[ Fri Sep  2 13:26:40 2022 ] 	Mean test loss of 312 batches: 2.048141.
+[ Fri Sep  2 13:26:40 2022 ] 	Top1: 58.27%
+[ Fri Sep  2 13:26:40 2022 ] 	Top5: 88.73%
+[ Fri Sep  2 13:26:40 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:26:40 2022 ] Training epoch: 89
+[ Fri Sep  2 13:27:36 2022 ] 	Training loss: 1.0721.  Training acc: 90.27%.
+[ Fri Sep  2 13:27:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:27:36 2022 ] Eval epoch: 89
+[ Fri Sep  2 13:28:47 2022 ] 	Mean test loss of 312 batches: 2.074362.
+[ Fri Sep  2 13:28:47 2022 ] 	Top1: 56.70%
+[ Fri Sep  2 13:28:48 2022 ] 	Top5: 87.80%
+[ Fri Sep  2 13:28:48 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:28:48 2022 ] Training epoch: 90
+[ Fri Sep  2 13:29:39 2022 ] 	Training loss: 1.0754.  Training acc: 89.78%.
+[ Fri Sep  2 13:29:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:29:39 2022 ] Eval epoch: 90
+[ Fri Sep  2 13:30:29 2022 ] 	Mean test loss of 312 batches: 1.913046.
+[ Fri Sep  2 13:30:29 2022 ] 	Top1: 60.63%
+[ Fri Sep  2 13:30:29 2022 ] 	Top5: 90.80%
+[ Fri Sep  2 13:30:30 2022 ] 	Best acc: 62.32.
+[ Fri Sep  2 13:30:30 2022 ] Training epoch: 91
+[ Fri Sep  2 13:31:31 2022 ] 	Training loss: 0.9732.  Training acc: 94.04%.
+[ Fri Sep  2 13:31:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:31:31 2022 ] Eval epoch: 91
+[ Fri Sep  2 13:32:30 2022 ] 	Mean test loss of 312 batches: 1.697359.
+[ Fri Sep  2 13:32:30 2022 ] 	Top1: 67.30%
+[ Fri Sep  2 13:32:30 2022 ] 	Top5: 93.26%
+[ Fri Sep  2 13:32:30 2022 ] 	Best acc: 67.30.
+[ Fri Sep  2 13:32:30 2022 ] Training epoch: 92
+[ Fri Sep  2 13:33:21 2022 ] 	Training loss: 0.9147.  Training acc: 96.34%.
+[ Fri Sep  2 13:33:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:33:21 2022 ] Eval epoch: 92
+[ Fri Sep  2 13:34:18 2022 ] 	Mean test loss of 312 batches: 1.688489.
+[ Fri Sep  2 13:34:18 2022 ] 	Top1: 68.14%
+[ Fri Sep  2 13:34:18 2022 ] 	Top5: 93.36%
+[ Fri Sep  2 13:34:19 2022 ] 	Best acc: 68.14.
+[ Fri Sep  2 13:34:19 2022 ] Training epoch: 93
+[ Fri Sep  2 13:35:21 2022 ] 	Training loss: 0.9026.  Training acc: 96.76%.
+[ Fri Sep  2 13:35:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:35:21 2022 ] Eval epoch: 93
+[ Fri Sep  2 13:36:09 2022 ] 	Mean test loss of 312 batches: 1.678582.
+[ Fri Sep  2 13:36:09 2022 ] 	Top1: 68.38%
+[ Fri Sep  2 13:36:09 2022 ] 	Top5: 93.27%
+[ Fri Sep  2 13:36:09 2022 ] 	Best acc: 68.38.
+[ Fri Sep  2 13:36:09 2022 ] Training epoch: 94
+[ Fri Sep  2 13:36:58 2022 ] 	Training loss: 0.8916.  Training acc: 97.09%.
+[ Fri Sep  2 13:36:58 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Fri Sep  2 13:36:58 2022 ] Eval epoch: 94
+[ Fri Sep  2 13:38:02 2022 ] 	Mean test loss of 312 batches: 1.681770.
+[ Fri Sep  2 13:38:02 2022 ] 	Top1: 68.50%
+[ Fri Sep  2 13:38:02 2022 ] 	Top5: 93.32%
+[ Fri Sep  2 13:38:03 2022 ] 	Best acc: 68.50.
+[ Fri Sep  2 13:38:03 2022 ] Training epoch: 95
+[ Fri Sep  2 13:39:02 2022 ] 	Training loss: 0.8829.  Training acc: 97.39%.
+[ Fri Sep  2 13:39:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:39:02 2022 ] Eval epoch: 95
+[ Fri Sep  2 13:39:36 2022 ] 	Mean test loss of 312 batches: 1.687172.
+[ Fri Sep  2 13:39:36 2022 ] 	Top1: 68.45%
+[ Fri Sep  2 13:39:36 2022 ] 	Top5: 93.09%
+[ Fri Sep  2 13:39:36 2022 ] 	Best acc: 68.50.
+[ Fri Sep  2 13:39:36 2022 ] Training epoch: 96
+[ Fri Sep  2 13:40:32 2022 ] 	Training loss: 0.8766.  Training acc: 97.71%.
+[ Fri Sep  2 13:40:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:40:32 2022 ] Eval epoch: 96
+[ Fri Sep  2 13:41:42 2022 ] 	Mean test loss of 312 batches: 1.656006.
+[ Fri Sep  2 13:41:42 2022 ] 	Top1: 69.52%
+[ Fri Sep  2 13:41:42 2022 ] 	Top5: 93.57%
+[ Fri Sep  2 13:41:43 2022 ] 	Best acc: 69.52.
+[ Fri Sep  2 13:41:43 2022 ] Training epoch: 97
+[ Fri Sep  2 13:42:34 2022 ] 	Training loss: 0.8681.  Training acc: 97.71%.
+[ Fri Sep  2 13:42:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:42:34 2022 ] Eval epoch: 97
+[ Fri Sep  2 13:43:24 2022 ] 	Mean test loss of 312 batches: 1.664794.
+[ Fri Sep  2 13:43:24 2022 ] 	Top1: 69.49%
+[ Fri Sep  2 13:43:24 2022 ] 	Top5: 93.36%
+[ Fri Sep  2 13:43:25 2022 ] 	Best acc: 69.52.
+[ Fri Sep  2 13:43:25 2022 ] Training epoch: 98
+[ Fri Sep  2 13:44:27 2022 ] 	Training loss: 0.8620.  Training acc: 98.21%.
+[ Fri Sep  2 13:44:27 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:44:27 2022 ] Eval epoch: 98
+[ Fri Sep  2 13:45:19 2022 ] 	Mean test loss of 312 batches: 1.666045.
+[ Fri Sep  2 13:45:20 2022 ] 	Top1: 69.49%
+[ Fri Sep  2 13:45:20 2022 ] 	Top5: 93.30%
+[ Fri Sep  2 13:45:20 2022 ] 	Best acc: 69.52.
+[ Fri Sep  2 13:45:20 2022 ] Training epoch: 99
+[ Fri Sep  2 13:46:12 2022 ] 	Training loss: 0.8591.  Training acc: 98.27%.
+[ Fri Sep  2 13:46:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:46:12 2022 ] Eval epoch: 99
+[ Fri Sep  2 13:47:20 2022 ] 	Mean test loss of 312 batches: 1.670073.
+[ Fri Sep  2 13:47:20 2022 ] 	Top1: 69.23%
+[ Fri Sep  2 13:47:20 2022 ] 	Top5: 93.17%
+[ Fri Sep  2 13:47:20 2022 ] 	Best acc: 69.52.
+[ Fri Sep  2 13:47:20 2022 ] Training epoch: 100
+[ Fri Sep  2 13:48:16 2022 ] 	Training loss: 0.8576.  Training acc: 98.22%.
+[ Fri Sep  2 13:48:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:48:16 2022 ] Eval epoch: 100
+[ Fri Sep  2 13:49:08 2022 ] 	Mean test loss of 312 batches: 1.671514.
+[ Fri Sep  2 13:49:08 2022 ] 	Top1: 69.24%
+[ Fri Sep  2 13:49:08 2022 ] 	Top5: 93.17%
+[ Fri Sep  2 13:49:08 2022 ] 	Best acc: 69.52.
+[ Fri Sep  2 13:49:08 2022 ] Training epoch: 101
+[ Fri Sep  2 13:50:04 2022 ] 	Training loss: 0.8532.  Training acc: 98.46%.
+[ Fri Sep  2 13:50:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:50:04 2022 ] Eval epoch: 101
+[ Fri Sep  2 13:51:13 2022 ] 	Mean test loss of 312 batches: 1.669032.
+[ Fri Sep  2 13:51:13 2022 ] 	Top1: 69.36%
+[ Fri Sep  2 13:51:14 2022 ] 	Top5: 93.27%
+[ Fri Sep  2 13:51:14 2022 ] 	Best acc: 69.52.
+[ Fri Sep  2 13:51:14 2022 ] Training epoch: 102
+[ Fri Sep  2 13:52:06 2022 ] 	Training loss: 0.8498.  Training acc: 98.51%.
+[ Fri Sep  2 13:52:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:52:06 2022 ] Eval epoch: 102
+[ Fri Sep  2 13:52:55 2022 ] 	Mean test loss of 312 batches: 1.670239.
+[ Fri Sep  2 13:52:55 2022 ] 	Top1: 69.46%
+[ Fri Sep  2 13:52:55 2022 ] 	Top5: 93.23%
+[ Fri Sep  2 13:52:56 2022 ] 	Best acc: 69.52.
+[ Fri Sep  2 13:52:56 2022 ] Training epoch: 103
+[ Fri Sep  2 13:53:56 2022 ] 	Training loss: 0.8486.  Training acc: 98.69%.
+[ Fri Sep  2 13:53:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:53:56 2022 ] Eval epoch: 103
+[ Fri Sep  2 13:54:58 2022 ] 	Mean test loss of 312 batches: 1.661632.
+[ Fri Sep  2 13:54:58 2022 ] 	Top1: 69.68%
+[ Fri Sep  2 13:54:58 2022 ] 	Top5: 93.23%
+[ Fri Sep  2 13:54:58 2022 ] 	Best acc: 69.68.
+[ Fri Sep  2 13:54:58 2022 ] Training epoch: 104
+[ Fri Sep  2 13:55:49 2022 ] 	Training loss: 0.8475.  Training acc: 98.51%.
+[ Fri Sep  2 13:55:49 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:55:49 2022 ] Eval epoch: 104
+[ Fri Sep  2 13:56:59 2022 ] 	Mean test loss of 312 batches: 1.671238.
+[ Fri Sep  2 13:56:59 2022 ] 	Top1: 69.33%
+[ Fri Sep  2 13:56:59 2022 ] 	Top5: 93.16%
+[ Fri Sep  2 13:57:00 2022 ] 	Best acc: 69.68.
+[ Fri Sep  2 13:57:00 2022 ] Training epoch: 105
+[ Fri Sep  2 13:57:57 2022 ] 	Training loss: 0.8500.  Training acc: 98.46%.
+[ Fri Sep  2 13:57:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 13:57:57 2022 ] Eval epoch: 105
+[ Fri Sep  2 13:58:51 2022 ] 	Mean test loss of 312 batches: 1.667842.
+[ Fri Sep  2 13:58:51 2022 ] 	Top1: 69.58%
+[ Fri Sep  2 13:58:51 2022 ] 	Top5: 93.17%
+[ Fri Sep  2 13:58:51 2022 ] 	Best acc: 69.68.
+[ Fri Sep  2 13:58:51 2022 ] Training epoch: 106
+[ Fri Sep  2 13:59:46 2022 ] 	Training loss: 0.8459.  Training acc: 98.54%.
+[ Fri Sep  2 13:59:46 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Fri Sep  2 13:59:46 2022 ] Eval epoch: 106
+[ Fri Sep  2 14:00:55 2022 ] 	Mean test loss of 312 batches: 1.669058.
+[ Fri Sep  2 14:00:55 2022 ] 	Top1: 69.50%
+[ Fri Sep  2 14:00:56 2022 ] 	Top5: 93.25%
+[ Fri Sep  2 14:00:56 2022 ] 	Best acc: 69.68.
+[ Fri Sep  2 14:00:56 2022 ] Training epoch: 107
+[ Fri Sep  2 14:01:46 2022 ] 	Training loss: 0.8431.  Training acc: 98.72%.
+[ Fri Sep  2 14:01:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 14:01:46 2022 ] Eval epoch: 107
+[ Fri Sep  2 14:02:33 2022 ] 	Mean test loss of 312 batches: 1.670055.
+[ Fri Sep  2 14:02:33 2022 ] 	Top1: 69.64%
+[ Fri Sep  2 14:02:33 2022 ] 	Top5: 93.11%
+[ Fri Sep  2 14:02:33 2022 ] 	Best acc: 69.68.
+[ Fri Sep  2 14:02:33 2022 ] Training epoch: 108
+[ Fri Sep  2 14:03:31 2022 ] 	Training loss: 0.8465.  Training acc: 98.59%.
+[ Fri Sep  2 14:03:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 14:03:31 2022 ] Eval epoch: 108
+[ Fri Sep  2 14:04:38 2022 ] 	Mean test loss of 312 batches: 1.673809.
+[ Fri Sep  2 14:04:38 2022 ] 	Top1: 69.31%
+[ Fri Sep  2 14:04:38 2022 ] 	Top5: 93.17%
+[ Fri Sep  2 14:04:38 2022 ] 	Best acc: 69.68.
+[ Fri Sep  2 14:04:38 2022 ] Training epoch: 109
+[ Fri Sep  2 14:05:21 2022 ] 	Training loss: 0.8466.  Training acc: 98.53%.
+[ Fri Sep  2 14:05:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 14:05:21 2022 ] Eval epoch: 109
+[ Fri Sep  2 14:06:36 2022 ] 	Mean test loss of 312 batches: 1.671317.
+[ Fri Sep  2 14:06:36 2022 ] 	Top1: 69.54%
+[ Fri Sep  2 14:06:36 2022 ] 	Top5: 93.16%
+[ Fri Sep  2 14:06:37 2022 ] 	Best acc: 69.68.
+[ Fri Sep  2 14:06:37 2022 ] Training epoch: 110
+[ Fri Sep  2 14:07:36 2022 ] 	Training loss: 0.8457.  Training acc: 98.71%.
+[ Fri Sep  2 14:07:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Fri Sep  2 14:07:36 2022 ] Eval epoch: 110
+[ Fri Sep  2 14:08:24 2022 ] 	Mean test loss of 312 batches: 1.673340.
+[ Fri Sep  2 14:08:24 2022 ] 	Top1: 69.33%
+[ Fri Sep  2 14:08:24 2022 ] 	Top5: 93.15%
+[ Fri Sep  2 14:08:24 2022 ] 	Best acc: 69.68.

ckpt/Others/InfoGCN/ntu_60_xsub_LT/jm/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb9bdfbebb05c6aae164885c5af9a52a54af7f938002c5f5fd9ca68ff7b9a4b9
+size 4655494

ckpt/Others/InfoGCN/ntu_60_xsub_LT/jm/log.txt

@@ -0,0 +1,775 @@
+[ Tue Aug 23 10:53:01 2022 ] using warm up, epoch: 5
+[ Tue Aug 23 10:53:13 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 60, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu/NTU60_CS_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': True, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_60_xsub_LT/jm', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 8, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 128, 'test_batch_size': 128, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Tue Aug 23 10:53:13 2022 ] # Parameters: 1556807
+[ Tue Aug 23 10:53:13 2022 ] Training epoch: 1
+[ Tue Aug 23 10:53:47 2022 ] 	Training loss: 6.7192.  Training acc: 7.88%.
+[ Tue Aug 23 10:53:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 10:53:47 2022 ] Eval epoch: 1
+[ Tue Aug 23 10:54:06 2022 ] 	Mean test loss of 312 batches: 5.761738.
+[ Tue Aug 23 10:54:06 2022 ] 	Top1: 2.69%
+[ Tue Aug 23 10:54:06 2022 ] 	Top5: 9.61%
+[ Tue Aug 23 10:54:06 2022 ] Training epoch: 2
+[ Tue Aug 23 10:54:39 2022 ] 	Training loss: 3.8565.  Training acc: 15.15%.
+[ Tue Aug 23 10:54:39 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 10:54:39 2022 ] Eval epoch: 2
+[ Tue Aug 23 10:54:58 2022 ] 	Mean test loss of 312 batches: 7.056761.
+[ Tue Aug 23 10:54:58 2022 ] 	Top1: 4.18%
+[ Tue Aug 23 10:54:58 2022 ] 	Top5: 12.86%
+[ Tue Aug 23 10:54:58 2022 ] Training epoch: 3
+[ Tue Aug 23 10:55:31 2022 ] 	Training loss: 3.0880.  Training acc: 26.11%.
+[ Tue Aug 23 10:55:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 10:55:31 2022 ] Eval epoch: 3
+[ Tue Aug 23 10:55:50 2022 ] 	Mean test loss of 312 batches: 5.299040.
+[ Tue Aug 23 10:55:50 2022 ] 	Top1: 5.54%
+[ Tue Aug 23 10:55:50 2022 ] 	Top5: 18.43%
+[ Tue Aug 23 10:55:51 2022 ] Training epoch: 4
+[ Tue Aug 23 10:56:23 2022 ] 	Training loss: 2.9024.  Training acc: 30.29%.
+[ Tue Aug 23 10:56:23 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 10:56:23 2022 ] Eval epoch: 4
+[ Tue Aug 23 10:56:42 2022 ] 	Mean test loss of 312 batches: 7.852640.
+[ Tue Aug 23 10:56:42 2022 ] 	Top1: 6.91%
+[ Tue Aug 23 10:56:43 2022 ] 	Top5: 15.44%
+[ Tue Aug 23 10:56:43 2022 ] Training epoch: 5
+[ Tue Aug 23 10:57:15 2022 ] 	Training loss: 2.6004.  Training acc: 39.84%.
+[ Tue Aug 23 10:57:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 10:57:15 2022 ] Eval epoch: 5
+[ Tue Aug 23 10:57:35 2022 ] 	Mean test loss of 312 batches: 6.990811.
+[ Tue Aug 23 10:57:35 2022 ] 	Top1: 8.87%
+[ Tue Aug 23 10:57:35 2022 ] 	Top5: 22.63%
+[ Tue Aug 23 10:57:35 2022 ] Training epoch: 6
+[ Tue Aug 23 10:58:07 2022 ] 	Training loss: 2.4023.  Training acc: 46.02%.
+[ Tue Aug 23 10:58:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 10:58:08 2022 ] Eval epoch: 6
+[ Tue Aug 23 10:58:27 2022 ] 	Mean test loss of 312 batches:  nan.
+[ Tue Aug 23 10:58:27 2022 ] 	Top1: 13.70%
+[ Tue Aug 23 10:58:27 2022 ] 	Top5: 30.70%
+[ Tue Aug 23 10:58:27 2022 ] Training epoch: 7
+[ Tue Aug 23 10:59:00 2022 ] 	Training loss: 2.1993.  Training acc: 51.22%.
+[ Tue Aug 23 10:59:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 10:59:00 2022 ] Eval epoch: 7
+[ Tue Aug 23 10:59:18 2022 ] 	Mean test loss of 312 batches: 4.361591.
+[ Tue Aug 23 10:59:18 2022 ] 	Top1: 17.02%
+[ Tue Aug 23 10:59:19 2022 ] 	Top5: 35.57%
+[ Tue Aug 23 10:59:19 2022 ] Training epoch: 8
+[ Tue Aug 23 10:59:51 2022 ] 	Training loss: 2.0981.  Training acc: 55.12%.
+[ Tue Aug 23 10:59:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 10:59:51 2022 ] Eval epoch: 8
+[ Tue Aug 23 11:00:10 2022 ] 	Mean test loss of 312 batches: 5.931720.
+[ Tue Aug 23 11:00:10 2022 ] 	Top1: 8.77%
+[ Tue Aug 23 11:00:10 2022 ] 	Top5: 26.53%
+[ Tue Aug 23 11:00:11 2022 ] Training epoch: 9
+[ Tue Aug 23 11:00:43 2022 ] 	Training loss: 2.0366.  Training acc: 56.67%.
+[ Tue Aug 23 11:00:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:00:43 2022 ] Eval epoch: 9
+[ Tue Aug 23 11:01:02 2022 ] 	Mean test loss of 312 batches:  nan.
+[ Tue Aug 23 11:01:02 2022 ] 	Top1: 11.16%
+[ Tue Aug 23 11:01:02 2022 ] 	Top5: 28.38%
+[ Tue Aug 23 11:01:02 2022 ] Training epoch: 10
+[ Tue Aug 23 11:01:34 2022 ] 	Training loss: 1.9596.  Training acc: 59.53%.
+[ Tue Aug 23 11:01:34 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:01:34 2022 ] Eval epoch: 10
+[ Tue Aug 23 11:01:53 2022 ] 	Mean test loss of 312 batches: 4.896322.
+[ Tue Aug 23 11:01:53 2022 ] 	Top1: 16.27%
+[ Tue Aug 23 11:01:54 2022 ] 	Top5: 39.86%
+[ Tue Aug 23 11:01:54 2022 ] Training epoch: 11
+[ Tue Aug 23 11:02:26 2022 ] 	Training loss: 1.8938.  Training acc: 61.35%.
+[ Tue Aug 23 11:02:26 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:02:26 2022 ] Eval epoch: 11
+[ Tue Aug 23 11:02:46 2022 ] 	Mean test loss of 312 batches: 8.376707.
+[ Tue Aug 23 11:02:46 2022 ] 	Top1: 7.94%
+[ Tue Aug 23 11:02:46 2022 ] 	Top5: 19.72%
+[ Tue Aug 23 11:02:46 2022 ] Training epoch: 12
+[ Tue Aug 23 11:03:19 2022 ] 	Training loss: 1.8676.  Training acc: 62.12%.
+[ Tue Aug 23 11:03:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:03:19 2022 ] Eval epoch: 12
+[ Tue Aug 23 11:03:38 2022 ] 	Mean test loss of 312 batches: 4.265081.
+[ Tue Aug 23 11:03:38 2022 ] 	Top1: 15.51%
+[ Tue Aug 23 11:03:38 2022 ] 	Top5: 37.25%
+[ Tue Aug 23 11:03:39 2022 ] Training epoch: 13
+[ Tue Aug 23 11:04:12 2022 ] 	Training loss: 1.8332.  Training acc: 63.37%.
+[ Tue Aug 23 11:04:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:04:12 2022 ] Eval epoch: 13
+[ Tue Aug 23 11:04:32 2022 ] 	Mean test loss of 312 batches: 4.289872.
+[ Tue Aug 23 11:04:32 2022 ] 	Top1: 18.34%
+[ Tue Aug 23 11:04:32 2022 ] 	Top5: 38.24%
+[ Tue Aug 23 11:04:32 2022 ] Training epoch: 14
+[ Tue Aug 23 11:05:06 2022 ] 	Training loss: 1.8490.  Training acc: 63.32%.
+[ Tue Aug 23 11:05:06 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:05:06 2022 ] Eval epoch: 14
+[ Tue Aug 23 11:05:26 2022 ] 	Mean test loss of 312 batches: 3.585057.
+[ Tue Aug 23 11:05:26 2022 ] 	Top1: 22.60%
+[ Tue Aug 23 11:05:26 2022 ] 	Top5: 48.63%
+[ Tue Aug 23 11:05:26 2022 ] Training epoch: 15
+[ Tue Aug 23 11:05:58 2022 ] 	Training loss: 1.8118.  Training acc: 64.16%.
+[ Tue Aug 23 11:05:58 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:05:58 2022 ] Eval epoch: 15
+[ Tue Aug 23 11:06:19 2022 ] 	Mean test loss of 312 batches: 3.809574.
+[ Tue Aug 23 11:06:19 2022 ] 	Top1: 21.53%
+[ Tue Aug 23 11:06:19 2022 ] 	Top5: 45.28%
+[ Tue Aug 23 11:06:19 2022 ] Training epoch: 16
+[ Tue Aug 23 11:06:52 2022 ] 	Training loss: 1.7259.  Training acc: 66.52%.
+[ Tue Aug 23 11:06:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:06:52 2022 ] Eval epoch: 16
+[ Tue Aug 23 11:07:12 2022 ] 	Mean test loss of 312 batches: 4.204251.
+[ Tue Aug 23 11:07:12 2022 ] 	Top1: 20.25%
+[ Tue Aug 23 11:07:12 2022 ] 	Top5: 42.32%
+[ Tue Aug 23 11:07:12 2022 ] Training epoch: 17
+[ Tue Aug 23 11:07:44 2022 ] 	Training loss: 1.6899.  Training acc: 68.19%.
+[ Tue Aug 23 11:07:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 11:07:44 2022 ] Eval epoch: 17
+[ Tue Aug 23 11:08:03 2022 ] 	Mean test loss of 312 batches: 3.859036.
+[ Tue Aug 23 11:08:03 2022 ] 	Top1: 22.10%
+[ Tue Aug 23 11:08:03 2022 ] 	Top5: 50.88%
+[ Tue Aug 23 11:08:03 2022 ] Training epoch: 18
+[ Tue Aug 23 11:08:35 2022 ] 	Training loss: 1.6579.  Training acc: 69.60%.
+[ Tue Aug 23 11:08:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:08:35 2022 ] Eval epoch: 18
+[ Tue Aug 23 11:08:55 2022 ] 	Mean test loss of 312 batches: 4.817100.
+[ Tue Aug 23 11:08:55 2022 ] 	Top1: 14.87%
+[ Tue Aug 23 11:08:55 2022 ] 	Top5: 33.91%
+[ Tue Aug 23 11:08:55 2022 ] Training epoch: 19
+[ Tue Aug 23 11:09:27 2022 ] 	Training loss: 1.6443.  Training acc: 69.71%.
+[ Tue Aug 23 11:09:27 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:09:27 2022 ] Eval epoch: 19
+[ Tue Aug 23 11:09:46 2022 ] 	Mean test loss of 312 batches: 3.786652.
+[ Tue Aug 23 11:09:46 2022 ] 	Top1: 22.75%
+[ Tue Aug 23 11:09:46 2022 ] 	Top5: 48.01%
+[ Tue Aug 23 11:09:47 2022 ] Training epoch: 20
+[ Tue Aug 23 11:10:19 2022 ] 	Training loss: 1.6318.  Training acc: 70.52%.
+[ Tue Aug 23 11:10:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:10:19 2022 ] Eval epoch: 20
+[ Tue Aug 23 11:10:39 2022 ] 	Mean test loss of 312 batches: 3.517991.
+[ Tue Aug 23 11:10:39 2022 ] 	Top1: 28.03%
+[ Tue Aug 23 11:10:40 2022 ] 	Top5: 50.82%
+[ Tue Aug 23 11:10:40 2022 ] Training epoch: 21
+[ Tue Aug 23 11:11:12 2022 ] 	Training loss: 1.6170.  Training acc: 70.38%.
+[ Tue Aug 23 11:11:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:11:12 2022 ] Eval epoch: 21
+[ Tue Aug 23 11:11:31 2022 ] 	Mean test loss of 312 batches: 3.547937.
+[ Tue Aug 23 11:11:31 2022 ] 	Top1: 25.17%
+[ Tue Aug 23 11:11:31 2022 ] 	Top5: 52.94%
+[ Tue Aug 23 11:11:31 2022 ] Training epoch: 22
+[ Tue Aug 23 11:12:04 2022 ] 	Training loss: 1.5896.  Training acc: 71.64%.
+[ Tue Aug 23 11:12:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 11:12:04 2022 ] Eval epoch: 22
+[ Tue Aug 23 11:12:24 2022 ] 	Mean test loss of 312 batches: 3.984129.
+[ Tue Aug 23 11:12:24 2022 ] 	Top1: 23.53%
+[ Tue Aug 23 11:12:24 2022 ] 	Top5: 41.86%
+[ Tue Aug 23 11:12:24 2022 ] Training epoch: 23
+[ Tue Aug 23 11:12:56 2022 ] 	Training loss: 1.5661.  Training acc: 71.95%.
+[ Tue Aug 23 11:12:56 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:12:56 2022 ] Eval epoch: 23
+[ Tue Aug 23 11:13:15 2022 ] 	Mean test loss of 312 batches: 4.315291.
+[ Tue Aug 23 11:13:15 2022 ] 	Top1: 17.59%
+[ Tue Aug 23 11:13:16 2022 ] 	Top5: 40.80%
+[ Tue Aug 23 11:13:16 2022 ] Training epoch: 24
+[ Tue Aug 23 11:13:49 2022 ] 	Training loss: 1.5490.  Training acc: 72.96%.
+[ Tue Aug 23 11:13:49 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:13:49 2022 ] Eval epoch: 24
+[ Tue Aug 23 11:14:08 2022 ] 	Mean test loss of 312 batches: 3.274342.
+[ Tue Aug 23 11:14:08 2022 ] 	Top1: 30.81%
+[ Tue Aug 23 11:14:08 2022 ] 	Top5: 55.73%
+[ Tue Aug 23 11:14:09 2022 ] Training epoch: 25
+[ Tue Aug 23 11:14:41 2022 ] 	Training loss: 1.5157.  Training acc: 74.32%.
+[ Tue Aug 23 11:14:41 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:14:41 2022 ] Eval epoch: 25
+[ Tue Aug 23 11:15:01 2022 ] 	Mean test loss of 312 batches: 3.416335.
+[ Tue Aug 23 11:15:01 2022 ] 	Top1: 28.08%
+[ Tue Aug 23 11:15:01 2022 ] 	Top5: 54.94%
+[ Tue Aug 23 11:15:01 2022 ] Training epoch: 26
+[ Tue Aug 23 11:15:33 2022 ] 	Training loss: 1.5175.  Training acc: 73.83%.
+[ Tue Aug 23 11:15:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:15:33 2022 ] Eval epoch: 26
+[ Tue Aug 23 11:15:54 2022 ] 	Mean test loss of 312 batches: 3.204830.
+[ Tue Aug 23 11:15:54 2022 ] 	Top1: 32.45%
+[ Tue Aug 23 11:15:54 2022 ] 	Top5: 58.77%
+[ Tue Aug 23 11:15:54 2022 ] Training epoch: 27
+[ Tue Aug 23 11:16:26 2022 ] 	Training loss: 1.4790.  Training acc: 75.44%.
+[ Tue Aug 23 11:16:26 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:16:26 2022 ] Eval epoch: 27
+[ Tue Aug 23 11:16:46 2022 ] 	Mean test loss of 312 batches: 3.315498.
+[ Tue Aug 23 11:16:46 2022 ] 	Top1: 31.50%
+[ Tue Aug 23 11:16:46 2022 ] 	Top5: 55.23%
+[ Tue Aug 23 11:16:46 2022 ] Training epoch: 28
+[ Tue Aug 23 11:17:19 2022 ] 	Training loss: 1.4803.  Training acc: 75.09%.
+[ Tue Aug 23 11:17:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 11:17:19 2022 ] Eval epoch: 28
+[ Tue Aug 23 11:17:37 2022 ] 	Mean test loss of 312 batches: 2.616368.
+[ Tue Aug 23 11:17:38 2022 ] 	Top1: 42.74%
+[ Tue Aug 23 11:17:38 2022 ] 	Top5: 71.65%
+[ Tue Aug 23 11:17:38 2022 ] Training epoch: 29
+[ Tue Aug 23 11:18:10 2022 ] 	Training loss: 1.4678.  Training acc: 76.14%.
+[ Tue Aug 23 11:18:10 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:18:11 2022 ] Eval epoch: 29
+[ Tue Aug 23 11:18:30 2022 ] 	Mean test loss of 312 batches: 3.364758.
+[ Tue Aug 23 11:18:30 2022 ] 	Top1: 29.50%
+[ Tue Aug 23 11:18:30 2022 ] 	Top5: 57.06%
+[ Tue Aug 23 11:18:30 2022 ] Training epoch: 30
+[ Tue Aug 23 11:19:02 2022 ] 	Training loss: 1.4399.  Training acc: 76.59%.
+[ Tue Aug 23 11:19:02 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:19:02 2022 ] Eval epoch: 30
+[ Tue Aug 23 11:19:21 2022 ] 	Mean test loss of 312 batches: 2.938094.
+[ Tue Aug 23 11:19:21 2022 ] 	Top1: 36.60%
+[ Tue Aug 23 11:19:21 2022 ] 	Top5: 65.83%
+[ Tue Aug 23 11:19:22 2022 ] Training epoch: 31
+[ Tue Aug 23 11:19:54 2022 ] 	Training loss: 1.4425.  Training acc: 76.26%.
+[ Tue Aug 23 11:19:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:19:54 2022 ] Eval epoch: 31
+[ Tue Aug 23 11:20:14 2022 ] 	Mean test loss of 312 batches: 2.436603.
+[ Tue Aug 23 11:20:14 2022 ] 	Top1: 45.34%
+[ Tue Aug 23 11:20:14 2022 ] 	Top5: 76.37%
+[ Tue Aug 23 11:20:14 2022 ] Training epoch: 32
+[ Tue Aug 23 11:20:46 2022 ] 	Training loss: 1.4297.  Training acc: 77.47%.
+[ Tue Aug 23 11:20:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 11:20:46 2022 ] Eval epoch: 32
+[ Tue Aug 23 11:21:06 2022 ] 	Mean test loss of 312 batches: 2.493202.
+[ Tue Aug 23 11:21:06 2022 ] 	Top1: 43.56%
+[ Tue Aug 23 11:21:06 2022 ] 	Top5: 79.00%
+[ Tue Aug 23 11:21:06 2022 ] Training epoch: 33
+[ Tue Aug 23 11:21:38 2022 ] 	Training loss: 1.4215.  Training acc: 77.79%.
+[ Tue Aug 23 11:21:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 11:21:38 2022 ] Eval epoch: 33
+[ Tue Aug 23 11:21:58 2022 ] 	Mean test loss of 312 batches: 2.520835.
+[ Tue Aug 23 11:21:58 2022 ] 	Top1: 43.96%
+[ Tue Aug 23 11:21:58 2022 ] 	Top5: 74.99%
+[ Tue Aug 23 11:21:58 2022 ] Training epoch: 34
+[ Tue Aug 23 11:22:30 2022 ] 	Training loss: 1.3827.  Training acc: 79.06%.
+[ Tue Aug 23 11:22:30 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:22:30 2022 ] Eval epoch: 34
+[ Tue Aug 23 11:22:49 2022 ] 	Mean test loss of 312 batches: 2.581648.
+[ Tue Aug 23 11:22:50 2022 ] 	Top1: 43.18%
+[ Tue Aug 23 11:22:50 2022 ] 	Top5: 73.62%
+[ Tue Aug 23 11:22:50 2022 ] Training epoch: 35
+[ Tue Aug 23 11:23:23 2022 ] 	Training loss: 1.3877.  Training acc: 79.37%.
+[ Tue Aug 23 11:23:23 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:23:23 2022 ] Eval epoch: 35
+[ Tue Aug 23 11:23:43 2022 ] 	Mean test loss of 312 batches: 2.526269.
+[ Tue Aug 23 11:23:43 2022 ] 	Top1: 44.26%
+[ Tue Aug 23 11:23:43 2022 ] 	Top5: 74.01%
+[ Tue Aug 23 11:23:43 2022 ] Training epoch: 36
+[ Tue Aug 23 11:24:15 2022 ] 	Training loss: 1.3520.  Training acc: 79.76%.
+[ Tue Aug 23 11:24:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:24:15 2022 ] Eval epoch: 36
+[ Tue Aug 23 11:24:35 2022 ] 	Mean test loss of 312 batches: 2.600802.
+[ Tue Aug 23 11:24:35 2022 ] 	Top1: 44.26%
+[ Tue Aug 23 11:24:36 2022 ] 	Top5: 72.54%
+[ Tue Aug 23 11:24:36 2022 ] Training epoch: 37
+[ Tue Aug 23 11:25:07 2022 ] 	Training loss: 1.3520.  Training acc: 79.83%.
+[ Tue Aug 23 11:25:07 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 11:25:07 2022 ] Eval epoch: 37
+[ Tue Aug 23 11:25:27 2022 ] 	Mean test loss of 312 batches: 2.708260.
+[ Tue Aug 23 11:25:27 2022 ] 	Top1: 40.24%
+[ Tue Aug 23 11:25:27 2022 ] 	Top5: 71.19%
+[ Tue Aug 23 11:25:27 2022 ] Training epoch: 38
+[ Tue Aug 23 11:26:00 2022 ] 	Training loss: 1.3503.  Training acc: 80.26%.
+[ Tue Aug 23 11:26:00 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 11:26:00 2022 ] Eval epoch: 38
+[ Tue Aug 23 11:26:19 2022 ] 	Mean test loss of 312 batches: 2.386980.
+[ Tue Aug 23 11:26:19 2022 ] 	Top1: 45.22%
+[ Tue Aug 23 11:26:19 2022 ] 	Top5: 79.09%
+[ Tue Aug 23 11:26:19 2022 ] Training epoch: 39
+[ Tue Aug 23 11:26:52 2022 ] 	Training loss: 1.3355.  Training acc: 81.08%.
+[ Tue Aug 23 11:26:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:26:52 2022 ] Eval epoch: 39
+[ Tue Aug 23 11:27:11 2022 ] 	Mean test loss of 312 batches: 2.200632.
+[ Tue Aug 23 11:27:11 2022 ] 	Top1: 53.05%
+[ Tue Aug 23 11:27:11 2022 ] 	Top5: 83.04%
+[ Tue Aug 23 11:27:12 2022 ] Training epoch: 40
+[ Tue Aug 23 11:27:44 2022 ] 	Training loss: 1.3187.  Training acc: 81.05%.
+[ Tue Aug 23 11:27:44 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:27:44 2022 ] Eval epoch: 40
+[ Tue Aug 23 11:28:03 2022 ] 	Mean test loss of 312 batches: 2.394262.
+[ Tue Aug 23 11:28:03 2022 ] 	Top1: 46.12%
+[ Tue Aug 23 11:28:03 2022 ] 	Top5: 81.60%
+[ Tue Aug 23 11:28:03 2022 ] Training epoch: 41
+[ Tue Aug 23 11:28:36 2022 ] 	Training loss: 1.3169.  Training acc: 81.47%.
+[ Tue Aug 23 11:28:36 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:28:36 2022 ] Eval epoch: 41
+[ Tue Aug 23 11:28:56 2022 ] 	Mean test loss of 312 batches: 2.486976.
+[ Tue Aug 23 11:28:56 2022 ] 	Top1: 45.81%
+[ Tue Aug 23 11:28:56 2022 ] 	Top5: 78.81%
+[ Tue Aug 23 11:28:56 2022 ] Training epoch: 42
+[ Tue Aug 23 11:29:29 2022 ] 	Training loss: 1.2947.  Training acc: 82.56%.
+[ Tue Aug 23 11:29:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:29:29 2022 ] Eval epoch: 42
+[ Tue Aug 23 11:29:48 2022 ] 	Mean test loss of 312 batches: 2.481700.
+[ Tue Aug 23 11:29:48 2022 ] 	Top1: 47.68%
+[ Tue Aug 23 11:29:48 2022 ] 	Top5: 76.87%
+[ Tue Aug 23 11:29:48 2022 ] Training epoch: 43
+[ Tue Aug 23 11:30:20 2022 ] 	Training loss: 1.2938.  Training acc: 82.39%.
+[ Tue Aug 23 11:30:20 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:30:20 2022 ] Eval epoch: 43
+[ Tue Aug 23 11:30:40 2022 ] 	Mean test loss of 312 batches: 2.231480.
+[ Tue Aug 23 11:30:40 2022 ] 	Top1: 51.28%
+[ Tue Aug 23 11:30:40 2022 ] 	Top5: 83.84%
+[ Tue Aug 23 11:30:40 2022 ] Training epoch: 44
+[ Tue Aug 23 11:31:12 2022 ] 	Training loss: 1.2820.  Training acc: 82.61%.
+[ Tue Aug 23 11:31:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:31:12 2022 ] Eval epoch: 44
+[ Tue Aug 23 11:31:31 2022 ] 	Mean test loss of 312 batches: 2.256971.
+[ Tue Aug 23 11:31:31 2022 ] 	Top1: 50.72%
+[ Tue Aug 23 11:31:31 2022 ] 	Top5: 83.70%
+[ Tue Aug 23 11:31:31 2022 ] Training epoch: 45
+[ Tue Aug 23 11:32:04 2022 ] 	Training loss: 1.2698.  Training acc: 83.09%.
+[ Tue Aug 23 11:32:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 11:32:04 2022 ] Eval epoch: 45
+[ Tue Aug 23 11:32:23 2022 ] 	Mean test loss of 312 batches: 2.349862.
+[ Tue Aug 23 11:32:23 2022 ] 	Top1: 47.09%
+[ Tue Aug 23 11:32:23 2022 ] 	Top5: 82.65%
+[ Tue Aug 23 11:32:23 2022 ] Training epoch: 46
+[ Tue Aug 23 11:32:57 2022 ] 	Training loss: 1.2506.  Training acc: 83.72%.
+[ Tue Aug 23 11:32:57 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:32:57 2022 ] Eval epoch: 46
+[ Tue Aug 23 11:33:17 2022 ] 	Mean test loss of 312 batches: 2.170960.
+[ Tue Aug 23 11:33:17 2022 ] 	Top1: 52.50%
+[ Tue Aug 23 11:33:17 2022 ] 	Top5: 84.62%
+[ Tue Aug 23 11:33:17 2022 ] Training epoch: 47
+[ Tue Aug 23 11:33:50 2022 ] 	Training loss: 1.2393.  Training acc: 84.45%.
+[ Tue Aug 23 11:33:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 11:33:50 2022 ] Eval epoch: 47
+[ Tue Aug 23 11:34:09 2022 ] 	Mean test loss of 312 batches: 2.074078.
+[ Tue Aug 23 11:34:09 2022 ] 	Top1: 56.22%
+[ Tue Aug 23 11:34:09 2022 ] 	Top5: 86.58%
+[ Tue Aug 23 11:34:09 2022 ] Training epoch: 48
+[ Tue Aug 23 11:34:41 2022 ] 	Training loss: 1.2262.  Training acc: 84.73%.
+[ Tue Aug 23 11:34:41 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:34:41 2022 ] Eval epoch: 48
+[ Tue Aug 23 11:35:00 2022 ] 	Mean test loss of 312 batches: 2.111954.
+[ Tue Aug 23 11:35:01 2022 ] 	Top1: 54.35%
+[ Tue Aug 23 11:35:01 2022 ] 	Top5: 87.48%
+[ Tue Aug 23 11:35:01 2022 ] Training epoch: 49
+[ Tue Aug 23 11:35:33 2022 ] 	Training loss: 1.2423.  Training acc: 84.17%.
+[ Tue Aug 23 11:35:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:35:33 2022 ] Eval epoch: 49
+[ Tue Aug 23 11:35:52 2022 ] 	Mean test loss of 312 batches: 2.215125.
+[ Tue Aug 23 11:35:52 2022 ] 	Top1: 54.91%
+[ Tue Aug 23 11:35:52 2022 ] 	Top5: 84.88%
+[ Tue Aug 23 11:35:52 2022 ] Training epoch: 50
+[ Tue Aug 23 11:36:24 2022 ] 	Training loss: 1.2319.  Training acc: 84.35%.
+[ Tue Aug 23 11:36:24 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:36:24 2022 ] Eval epoch: 50
+[ Tue Aug 23 11:36:45 2022 ] 	Mean test loss of 312 batches: 2.159850.
+[ Tue Aug 23 11:36:45 2022 ] 	Top1: 53.22%
+[ Tue Aug 23 11:36:45 2022 ] 	Top5: 87.01%
+[ Tue Aug 23 11:36:45 2022 ] Training epoch: 51
+[ Tue Aug 23 11:37:17 2022 ] 	Training loss: 1.2401.  Training acc: 84.38%.
+[ Tue Aug 23 11:37:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:37:17 2022 ] Eval epoch: 51
+[ Tue Aug 23 11:37:36 2022 ] 	Mean test loss of 312 batches: 2.074970.
+[ Tue Aug 23 11:37:36 2022 ] 	Top1: 57.46%
+[ Tue Aug 23 11:37:36 2022 ] 	Top5: 88.17%
+[ Tue Aug 23 11:37:37 2022 ] Training epoch: 52
+[ Tue Aug 23 11:38:09 2022 ] 	Training loss: 1.2245.  Training acc: 84.50%.
+[ Tue Aug 23 11:38:09 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:38:09 2022 ] Eval epoch: 52
+[ Tue Aug 23 11:38:29 2022 ] 	Mean test loss of 312 batches: 2.039431.
+[ Tue Aug 23 11:38:29 2022 ] 	Top1: 55.90%
+[ Tue Aug 23 11:38:29 2022 ] 	Top5: 88.68%
+[ Tue Aug 23 11:38:29 2022 ] Training epoch: 53
+[ Tue Aug 23 11:39:01 2022 ] 	Training loss: 1.1917.  Training acc: 85.90%.
+[ Tue Aug 23 11:39:01 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:39:01 2022 ] Eval epoch: 53
+[ Tue Aug 23 11:39:21 2022 ] 	Mean test loss of 312 batches: 2.078002.
+[ Tue Aug 23 11:39:22 2022 ] 	Top1: 54.02%
+[ Tue Aug 23 11:39:22 2022 ] 	Top5: 88.42%
+[ Tue Aug 23 11:39:22 2022 ] Training epoch: 54
+[ Tue Aug 23 11:39:54 2022 ] 	Training loss: 1.1949.  Training acc: 86.12%.
+[ Tue Aug 23 11:39:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 11:39:54 2022 ] Eval epoch: 54
+[ Tue Aug 23 11:40:14 2022 ] 	Mean test loss of 312 batches: 2.202154.
+[ Tue Aug 23 11:40:14 2022 ] 	Top1: 53.45%
+[ Tue Aug 23 11:40:14 2022 ] 	Top5: 86.36%
+[ Tue Aug 23 11:40:14 2022 ] Training epoch: 55
+[ Tue Aug 23 11:40:47 2022 ] 	Training loss: 1.1740.  Training acc: 86.78%.
+[ Tue Aug 23 11:40:47 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:40:47 2022 ] Eval epoch: 55
+[ Tue Aug 23 11:41:07 2022 ] 	Mean test loss of 312 batches: 2.034988.
+[ Tue Aug 23 11:41:07 2022 ] 	Top1: 58.15%
+[ Tue Aug 23 11:41:07 2022 ] 	Top5: 87.40%
+[ Tue Aug 23 11:41:07 2022 ] Training epoch: 56
+[ Tue Aug 23 11:41:39 2022 ] 	Training loss: 1.1941.  Training acc: 85.86%.
+[ Tue Aug 23 11:41:39 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:41:39 2022 ] Eval epoch: 56
+[ Tue Aug 23 11:42:00 2022 ] 	Mean test loss of 312 batches: 2.023793.
+[ Tue Aug 23 11:42:00 2022 ] 	Top1: 57.96%
+[ Tue Aug 23 11:42:00 2022 ] 	Top5: 89.08%
+[ Tue Aug 23 11:42:00 2022 ] Training epoch: 57
+[ Tue Aug 23 11:42:32 2022 ] 	Training loss: 1.1733.  Training acc: 86.57%.
+[ Tue Aug 23 11:42:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:42:32 2022 ] Eval epoch: 57
+[ Tue Aug 23 11:42:52 2022 ] 	Mean test loss of 312 batches: 2.310529.
+[ Tue Aug 23 11:42:52 2022 ] 	Top1: 49.37%
+[ Tue Aug 23 11:42:53 2022 ] 	Top5: 82.53%
+[ Tue Aug 23 11:42:53 2022 ] Training epoch: 58
+[ Tue Aug 23 11:43:25 2022 ] 	Training loss: 1.1654.  Training acc: 86.78%.
+[ Tue Aug 23 11:43:25 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 11:43:25 2022 ] Eval epoch: 58
+[ Tue Aug 23 11:43:44 2022 ] 	Mean test loss of 312 batches: 2.078562.
+[ Tue Aug 23 11:43:44 2022 ] 	Top1: 54.44%
+[ Tue Aug 23 11:43:45 2022 ] 	Top5: 87.24%
+[ Tue Aug 23 11:43:45 2022 ] Training epoch: 59
+[ Tue Aug 23 11:44:17 2022 ] 	Training loss: 1.1630.  Training acc: 86.86%.
+[ Tue Aug 23 11:44:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:44:17 2022 ] Eval epoch: 59
+[ Tue Aug 23 11:44:37 2022 ] 	Mean test loss of 312 batches: 2.435021.
+[ Tue Aug 23 11:44:37 2022 ] 	Top1: 48.33%
+[ Tue Aug 23 11:44:37 2022 ] 	Top5: 82.27%
+[ Tue Aug 23 11:44:37 2022 ] Training epoch: 60
+[ Tue Aug 23 11:45:09 2022 ] 	Training loss: 1.1643.  Training acc: 86.72%.
+[ Tue Aug 23 11:45:09 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:45:09 2022 ] Eval epoch: 60
+[ Tue Aug 23 11:45:29 2022 ] 	Mean test loss of 312 batches: 2.171012.
+[ Tue Aug 23 11:45:29 2022 ] 	Top1: 52.96%
+[ Tue Aug 23 11:45:29 2022 ] 	Top5: 84.70%
+[ Tue Aug 23 11:45:29 2022 ] Training epoch: 61
+[ Tue Aug 23 11:46:01 2022 ] 	Training loss: 1.1629.  Training acc: 87.01%.
+[ Tue Aug 23 11:46:01 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:46:01 2022 ] Eval epoch: 61
+[ Tue Aug 23 11:46:21 2022 ] 	Mean test loss of 312 batches: 2.122481.
+[ Tue Aug 23 11:46:21 2022 ] 	Top1: 54.88%
+[ Tue Aug 23 11:46:21 2022 ] 	Top5: 87.31%
+[ Tue Aug 23 11:46:21 2022 ] Training epoch: 62
+[ Tue Aug 23 11:46:53 2022 ] 	Training loss: 1.1727.  Training acc: 86.63%.
+[ Tue Aug 23 11:46:53 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:46:53 2022 ] Eval epoch: 62
+[ Tue Aug 23 11:47:13 2022 ] 	Mean test loss of 312 batches: 2.041666.
+[ Tue Aug 23 11:47:13 2022 ] 	Top1: 57.66%
+[ Tue Aug 23 11:47:13 2022 ] 	Top5: 88.54%
+[ Tue Aug 23 11:47:13 2022 ] Training epoch: 63
+[ Tue Aug 23 11:47:46 2022 ] 	Training loss: 1.1350.  Training acc: 88.06%.
+[ Tue Aug 23 11:47:46 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:47:46 2022 ] Eval epoch: 63
+[ Tue Aug 23 11:48:05 2022 ] 	Mean test loss of 312 batches: 2.114586.
+[ Tue Aug 23 11:48:05 2022 ] 	Top1: 53.66%
+[ Tue Aug 23 11:48:05 2022 ] 	Top5: 87.40%
+[ Tue Aug 23 11:48:05 2022 ] Training epoch: 64
+[ Tue Aug 23 11:48:37 2022 ] 	Training loss: 1.1504.  Training acc: 87.23%.
+[ Tue Aug 23 11:48:37 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:48:37 2022 ] Eval epoch: 64
+[ Tue Aug 23 11:48:58 2022 ] 	Mean test loss of 312 batches: 1.979796.
+[ Tue Aug 23 11:48:58 2022 ] 	Top1: 58.14%
+[ Tue Aug 23 11:48:58 2022 ] 	Top5: 88.59%
+[ Tue Aug 23 11:48:58 2022 ] Training epoch: 65
+[ Tue Aug 23 11:49:30 2022 ] 	Training loss: 1.1296.  Training acc: 88.43%.
+[ Tue Aug 23 11:49:30 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:49:30 2022 ] Eval epoch: 65
+[ Tue Aug 23 11:49:50 2022 ] 	Mean test loss of 312 batches: 1.981415.
+[ Tue Aug 23 11:49:50 2022 ] 	Top1: 58.49%
+[ Tue Aug 23 11:49:50 2022 ] 	Top5: 89.77%
+[ Tue Aug 23 11:49:50 2022 ] Training epoch: 66
+[ Tue Aug 23 11:50:22 2022 ] 	Training loss: 1.1266.  Training acc: 88.23%.
+[ Tue Aug 23 11:50:22 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:50:22 2022 ] Eval epoch: 66
+[ Tue Aug 23 11:50:42 2022 ] 	Mean test loss of 312 batches: 2.054071.
+[ Tue Aug 23 11:50:42 2022 ] 	Top1: 57.06%
+[ Tue Aug 23 11:50:42 2022 ] 	Top5: 88.60%
+[ Tue Aug 23 11:50:43 2022 ] Training epoch: 67
+[ Tue Aug 23 11:51:15 2022 ] 	Training loss: 1.1156.  Training acc: 88.15%.
+[ Tue Aug 23 11:51:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:51:15 2022 ] Eval epoch: 67
+[ Tue Aug 23 11:51:34 2022 ] 	Mean test loss of 312 batches: 2.025674.
+[ Tue Aug 23 11:51:34 2022 ] 	Top1: 57.24%
+[ Tue Aug 23 11:51:35 2022 ] 	Top5: 89.02%
+[ Tue Aug 23 11:51:35 2022 ] Training epoch: 68
+[ Tue Aug 23 11:52:08 2022 ] 	Training loss: 1.1126.  Training acc: 88.58%.
+[ Tue Aug 23 11:52:08 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:52:08 2022 ] Eval epoch: 68
+[ Tue Aug 23 11:52:27 2022 ] 	Mean test loss of 312 batches: 2.027883.
+[ Tue Aug 23 11:52:27 2022 ] 	Top1: 59.40%
+[ Tue Aug 23 11:52:27 2022 ] 	Top5: 88.17%
+[ Tue Aug 23 11:52:28 2022 ] Training epoch: 69
+[ Tue Aug 23 11:53:00 2022 ] 	Training loss: 1.1154.  Training acc: 88.76%.
+[ Tue Aug 23 11:53:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:53:00 2022 ] Eval epoch: 69
+[ Tue Aug 23 11:53:20 2022 ] 	Mean test loss of 312 batches: 2.228973.
+[ Tue Aug 23 11:53:20 2022 ] 	Top1: 51.48%
+[ Tue Aug 23 11:53:21 2022 ] 	Top5: 86.09%
+[ Tue Aug 23 11:53:21 2022 ] Training epoch: 70
+[ Tue Aug 23 11:53:53 2022 ] 	Training loss: 1.1083.  Training acc: 88.99%.
+[ Tue Aug 23 11:53:53 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:53:53 2022 ] Eval epoch: 70
+[ Tue Aug 23 11:54:12 2022 ] 	Mean test loss of 312 batches: 2.021939.
+[ Tue Aug 23 11:54:12 2022 ] 	Top1: 60.20%
+[ Tue Aug 23 11:54:12 2022 ] 	Top5: 88.87%
+[ Tue Aug 23 11:54:13 2022 ] Training epoch: 71
+[ Tue Aug 23 11:54:45 2022 ] 	Training loss: 1.0843.  Training acc: 89.42%.
+[ Tue Aug 23 11:54:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:54:45 2022 ] Eval epoch: 71
+[ Tue Aug 23 11:55:05 2022 ] 	Mean test loss of 312 batches: 1.994357.
+[ Tue Aug 23 11:55:05 2022 ] 	Top1: 59.43%
+[ Tue Aug 23 11:55:05 2022 ] 	Top5: 88.65%
+[ Tue Aug 23 11:55:06 2022 ] Training epoch: 72
+[ Tue Aug 23 11:55:38 2022 ] 	Training loss: 1.1087.  Training acc: 88.79%.
+[ Tue Aug 23 11:55:38 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:55:38 2022 ] Eval epoch: 72
+[ Tue Aug 23 11:55:57 2022 ] 	Mean test loss of 312 batches: 2.090933.
+[ Tue Aug 23 11:55:57 2022 ] 	Top1: 56.76%
+[ Tue Aug 23 11:55:57 2022 ] 	Top5: 87.43%
+[ Tue Aug 23 11:55:57 2022 ] Training epoch: 73
+[ Tue Aug 23 11:56:29 2022 ] 	Training loss: 1.0934.  Training acc: 89.13%.
+[ Tue Aug 23 11:56:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Tue Aug 23 11:56:29 2022 ] Eval epoch: 73
+[ Tue Aug 23 11:56:48 2022 ] 	Mean test loss of 312 batches: 2.059991.
+[ Tue Aug 23 11:56:48 2022 ] 	Top1: 59.15%
+[ Tue Aug 23 11:56:48 2022 ] 	Top5: 89.12%
+[ Tue Aug 23 11:56:49 2022 ] Training epoch: 74
+[ Tue Aug 23 11:57:21 2022 ] 	Training loss: 1.0897.  Training acc: 89.47%.
+[ Tue Aug 23 11:57:21 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:57:21 2022 ] Eval epoch: 74
+[ Tue Aug 23 11:57:40 2022 ] 	Mean test loss of 312 batches: 2.016487.
+[ Tue Aug 23 11:57:40 2022 ] 	Top1: 57.90%
+[ Tue Aug 23 11:57:40 2022 ] 	Top5: 87.77%
+[ Tue Aug 23 11:57:40 2022 ] Training epoch: 75
+[ Tue Aug 23 11:58:12 2022 ] 	Training loss: 1.0940.  Training acc: 89.25%.
+[ Tue Aug 23 11:58:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:58:12 2022 ] Eval epoch: 75
+[ Tue Aug 23 11:58:31 2022 ] 	Mean test loss of 312 batches: 2.022049.
+[ Tue Aug 23 11:58:31 2022 ] 	Top1: 58.67%
+[ Tue Aug 23 11:58:31 2022 ] 	Top5: 88.20%
+[ Tue Aug 23 11:58:32 2022 ] Training epoch: 76
+[ Tue Aug 23 11:59:04 2022 ] 	Training loss: 1.0911.  Training acc: 89.31%.
+[ Tue Aug 23 11:59:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 11:59:04 2022 ] Eval epoch: 76
+[ Tue Aug 23 11:59:25 2022 ] 	Mean test loss of 312 batches: 2.019403.
+[ Tue Aug 23 11:59:26 2022 ] 	Top1: 59.43%
+[ Tue Aug 23 11:59:26 2022 ] 	Top5: 89.12%
+[ Tue Aug 23 11:59:26 2022 ] Training epoch: 77
+[ Tue Aug 23 11:59:58 2022 ] 	Training loss: 1.0685.  Training acc: 90.56%.
+[ Tue Aug 23 11:59:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 11:59:58 2022 ] Eval epoch: 77
+[ Tue Aug 23 12:00:18 2022 ] 	Mean test loss of 312 batches: 1.867254.
+[ Tue Aug 23 12:00:18 2022 ] 	Top1: 64.82%
+[ Tue Aug 23 12:00:18 2022 ] 	Top5: 90.61%
+[ Tue Aug 23 12:00:19 2022 ] Training epoch: 78
+[ Tue Aug 23 12:00:51 2022 ] 	Training loss: 1.0511.  Training acc: 90.96%.
+[ Tue Aug 23 12:00:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:00:51 2022 ] Eval epoch: 78
+[ Tue Aug 23 12:01:10 2022 ] 	Mean test loss of 312 batches: 1.864362.
+[ Tue Aug 23 12:01:10 2022 ] 	Top1: 64.20%
+[ Tue Aug 23 12:01:10 2022 ] 	Top5: 90.77%
+[ Tue Aug 23 12:01:10 2022 ] Training epoch: 79
+[ Tue Aug 23 12:01:43 2022 ] 	Training loss: 1.0544.  Training acc: 90.92%.
+[ Tue Aug 23 12:01:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:01:43 2022 ] Eval epoch: 79
+[ Tue Aug 23 12:02:02 2022 ] 	Mean test loss of 312 batches: 2.086765.
+[ Tue Aug 23 12:02:02 2022 ] 	Top1: 56.55%
+[ Tue Aug 23 12:02:02 2022 ] 	Top5: 87.69%
+[ Tue Aug 23 12:02:02 2022 ] Training epoch: 80
+[ Tue Aug 23 12:02:34 2022 ] 	Training loss: 1.0768.  Training acc: 89.89%.
+[ Tue Aug 23 12:02:34 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:02:34 2022 ] Eval epoch: 80
+[ Tue Aug 23 12:02:55 2022 ] 	Mean test loss of 312 batches: 2.058054.
+[ Tue Aug 23 12:02:55 2022 ] 	Top1: 55.98%
+[ Tue Aug 23 12:02:55 2022 ] 	Top5: 88.28%
+[ Tue Aug 23 12:02:55 2022 ] Training epoch: 81
+[ Tue Aug 23 12:03:27 2022 ] 	Training loss: 1.0674.  Training acc: 90.34%.
+[ Tue Aug 23 12:03:27 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:03:27 2022 ] Eval epoch: 81
+[ Tue Aug 23 12:03:48 2022 ] 	Mean test loss of 312 batches: 2.114179.
+[ Tue Aug 23 12:03:48 2022 ] 	Top1: 55.93%
+[ Tue Aug 23 12:03:48 2022 ] 	Top5: 86.74%
+[ Tue Aug 23 12:03:48 2022 ] Training epoch: 82
+[ Tue Aug 23 12:04:20 2022 ] 	Training loss: 1.0570.  Training acc: 90.65%.
+[ Tue Aug 23 12:04:20 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:04:20 2022 ] Eval epoch: 82
+[ Tue Aug 23 12:04:40 2022 ] 	Mean test loss of 312 batches: 1.994866.
+[ Tue Aug 23 12:04:40 2022 ] 	Top1: 58.80%
+[ Tue Aug 23 12:04:40 2022 ] 	Top5: 88.65%
+[ Tue Aug 23 12:04:41 2022 ] Training epoch: 83
+[ Tue Aug 23 12:05:13 2022 ] 	Training loss: 1.0613.  Training acc: 90.13%.
+[ Tue Aug 23 12:05:13 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:05:13 2022 ] Eval epoch: 83
+[ Tue Aug 23 12:05:32 2022 ] 	Mean test loss of 312 batches: 2.004235.
+[ Tue Aug 23 12:05:32 2022 ] 	Top1: 60.50%
+[ Tue Aug 23 12:05:32 2022 ] 	Top5: 88.74%
+[ Tue Aug 23 12:05:33 2022 ] Training epoch: 84
+[ Tue Aug 23 12:06:05 2022 ] 	Training loss: 1.0636.  Training acc: 90.54%.
+[ Tue Aug 23 12:06:05 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:06:05 2022 ] Eval epoch: 84
+[ Tue Aug 23 12:06:24 2022 ] 	Mean test loss of 312 batches: 2.029964.
+[ Tue Aug 23 12:06:24 2022 ] 	Top1: 59.26%
+[ Tue Aug 23 12:06:24 2022 ] 	Top5: 88.26%
+[ Tue Aug 23 12:06:25 2022 ] Training epoch: 85
+[ Tue Aug 23 12:06:57 2022 ] 	Training loss: 1.0407.  Training acc: 91.42%.
+[ Tue Aug 23 12:06:57 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:06:57 2022 ] Eval epoch: 85
+[ Tue Aug 23 12:07:17 2022 ] 	Mean test loss of 312 batches: 2.011259.
+[ Tue Aug 23 12:07:17 2022 ] 	Top1: 58.14%
+[ Tue Aug 23 12:07:17 2022 ] 	Top5: 88.11%
+[ Tue Aug 23 12:07:17 2022 ] Training epoch: 86
+[ Tue Aug 23 12:07:49 2022 ] 	Training loss: 1.0457.  Training acc: 90.86%.
+[ Tue Aug 23 12:07:49 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:07:49 2022 ] Eval epoch: 86
+[ Tue Aug 23 12:08:10 2022 ] 	Mean test loss of 312 batches: 2.142188.
+[ Tue Aug 23 12:08:10 2022 ] 	Top1: 54.90%
+[ Tue Aug 23 12:08:10 2022 ] 	Top5: 85.37%
+[ Tue Aug 23 12:08:10 2022 ] Training epoch: 87
+[ Tue Aug 23 12:08:42 2022 ] 	Training loss: 1.0408.  Training acc: 90.97%.
+[ Tue Aug 23 12:08:42 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:08:42 2022 ] Eval epoch: 87
+[ Tue Aug 23 12:09:01 2022 ] 	Mean test loss of 312 batches: 2.036040.
+[ Tue Aug 23 12:09:01 2022 ] 	Top1: 57.86%
+[ Tue Aug 23 12:09:02 2022 ] 	Top5: 88.25%
+[ Tue Aug 23 12:09:02 2022 ] Training epoch: 88
+[ Tue Aug 23 12:09:35 2022 ] 	Training loss: 1.0394.  Training acc: 91.37%.
+[ Tue Aug 23 12:09:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:09:35 2022 ] Eval epoch: 88
+[ Tue Aug 23 12:09:53 2022 ] 	Mean test loss of 312 batches: 2.099491.
+[ Tue Aug 23 12:09:53 2022 ] 	Top1: 56.42%
+[ Tue Aug 23 12:09:54 2022 ] 	Top5: 86.58%
+[ Tue Aug 23 12:09:54 2022 ] Training epoch: 89
+[ Tue Aug 23 12:10:26 2022 ] 	Training loss: 1.0574.  Training acc: 90.23%.
+[ Tue Aug 23 12:10:26 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:10:26 2022 ] Eval epoch: 89
+[ Tue Aug 23 12:10:45 2022 ] 	Mean test loss of 312 batches: 2.150999.
+[ Tue Aug 23 12:10:46 2022 ] 	Top1: 54.33%
+[ Tue Aug 23 12:10:46 2022 ] 	Top5: 83.67%
+[ Tue Aug 23 12:10:46 2022 ] Training epoch: 90
+[ Tue Aug 23 12:11:18 2022 ] 	Training loss: 1.0507.  Training acc: 90.98%.
+[ Tue Aug 23 12:11:18 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:11:18 2022 ] Eval epoch: 90
+[ Tue Aug 23 12:11:39 2022 ] 	Mean test loss of 312 batches: 1.952913.
+[ Tue Aug 23 12:11:39 2022 ] 	Top1: 59.59%
+[ Tue Aug 23 12:11:39 2022 ] 	Top5: 88.40%
+[ Tue Aug 23 12:11:39 2022 ] Training epoch: 91
+[ Tue Aug 23 12:12:11 2022 ] 	Training loss: 0.9395.  Training acc: 95.25%.
+[ Tue Aug 23 12:12:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:12:11 2022 ] Eval epoch: 91
+[ Tue Aug 23 12:12:30 2022 ] 	Mean test loss of 312 batches: 1.748001.
+[ Tue Aug 23 12:12:30 2022 ] 	Top1: 66.79%
+[ Tue Aug 23 12:12:30 2022 ] 	Top5: 92.42%
+[ Tue Aug 23 12:12:31 2022 ] Training epoch: 92
+[ Tue Aug 23 12:13:03 2022 ] 	Training loss: 0.8957.  Training acc: 96.45%.
+[ Tue Aug 23 12:13:03 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:13:03 2022 ] Eval epoch: 92
+[ Tue Aug 23 12:13:22 2022 ] 	Mean test loss of 312 batches: 1.704165.
+[ Tue Aug 23 12:13:22 2022 ] 	Top1: 68.28%
+[ Tue Aug 23 12:13:22 2022 ] 	Top5: 92.96%
+[ Tue Aug 23 12:13:22 2022 ] Training epoch: 93
+[ Tue Aug 23 12:13:54 2022 ] 	Training loss: 0.8809.  Training acc: 97.05%.
+[ Tue Aug 23 12:13:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:13:54 2022 ] Eval epoch: 93
+[ Tue Aug 23 12:14:13 2022 ] 	Mean test loss of 312 batches: 1.702563.
+[ Tue Aug 23 12:14:13 2022 ] 	Top1: 68.42%
+[ Tue Aug 23 12:14:13 2022 ] 	Top5: 92.78%
+[ Tue Aug 23 12:14:14 2022 ] Training epoch: 94
+[ Tue Aug 23 12:14:46 2022 ] 	Training loss: 0.8753.  Training acc: 97.17%.
+[ Tue Aug 23 12:14:46 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:14:46 2022 ] Eval epoch: 94
+[ Tue Aug 23 12:15:06 2022 ] 	Mean test loss of 312 batches: 1.707811.
+[ Tue Aug 23 12:15:06 2022 ] 	Top1: 68.30%
+[ Tue Aug 23 12:15:06 2022 ] 	Top5: 92.82%
+[ Tue Aug 23 12:15:06 2022 ] Training epoch: 95
+[ Tue Aug 23 12:15:38 2022 ] 	Training loss: 0.8621.  Training acc: 97.80%.
+[ Tue Aug 23 12:15:38 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:15:38 2022 ] Eval epoch: 95
+[ Tue Aug 23 12:15:59 2022 ] 	Mean test loss of 312 batches: 1.720740.
+[ Tue Aug 23 12:15:59 2022 ] 	Top1: 68.05%
+[ Tue Aug 23 12:15:59 2022 ] 	Top5: 92.45%
+[ Tue Aug 23 12:15:59 2022 ] Training epoch: 96
+[ Tue Aug 23 12:16:31 2022 ] 	Training loss: 0.8585.  Training acc: 97.67%.
+[ Tue Aug 23 12:16:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 12:16:31 2022 ] Eval epoch: 96
+[ Tue Aug 23 12:16:52 2022 ] 	Mean test loss of 312 batches: 1.721367.
+[ Tue Aug 23 12:16:53 2022 ] 	Top1: 67.82%
+[ Tue Aug 23 12:16:53 2022 ] 	Top5: 92.67%
+[ Tue Aug 23 12:16:53 2022 ] Training epoch: 97
+[ Tue Aug 23 12:17:25 2022 ] 	Training loss: 0.8492.  Training acc: 98.14%.
+[ Tue Aug 23 12:17:25 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:17:25 2022 ] Eval epoch: 97
+[ Tue Aug 23 12:17:44 2022 ] 	Mean test loss of 312 batches: 1.729243.
+[ Tue Aug 23 12:17:44 2022 ] 	Top1: 67.68%
+[ Tue Aug 23 12:17:44 2022 ] 	Top5: 92.40%
+[ Tue Aug 23 12:17:44 2022 ] Training epoch: 98
+[ Tue Aug 23 12:18:17 2022 ] 	Training loss: 0.8496.  Training acc: 98.14%.
+[ Tue Aug 23 12:18:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:18:17 2022 ] Eval epoch: 98
+[ Tue Aug 23 12:18:36 2022 ] 	Mean test loss of 312 batches: 1.726284.
+[ Tue Aug 23 12:18:36 2022 ] 	Top1: 67.71%
+[ Tue Aug 23 12:18:36 2022 ] 	Top5: 92.72%
+[ Tue Aug 23 12:18:36 2022 ] Training epoch: 99
+[ Tue Aug 23 12:19:09 2022 ] 	Training loss: 0.8448.  Training acc: 98.44%.
+[ Tue Aug 23 12:19:09 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:19:09 2022 ] Eval epoch: 99
+[ Tue Aug 23 12:19:28 2022 ] 	Mean test loss of 312 batches: 1.729783.
+[ Tue Aug 23 12:19:28 2022 ] 	Top1: 67.70%
+[ Tue Aug 23 12:19:28 2022 ] 	Top5: 92.49%
+[ Tue Aug 23 12:19:28 2022 ] Training epoch: 100
+[ Tue Aug 23 12:20:00 2022 ] 	Training loss: 0.8427.  Training acc: 98.50%.
+[ Tue Aug 23 12:20:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:20:00 2022 ] Eval epoch: 100
+[ Tue Aug 23 12:20:21 2022 ] 	Mean test loss of 312 batches: 1.721445.
+[ Tue Aug 23 12:20:21 2022 ] 	Top1: 68.30%
+[ Tue Aug 23 12:20:21 2022 ] 	Top5: 92.34%
+[ Tue Aug 23 12:20:21 2022 ] Training epoch: 101
+[ Tue Aug 23 12:20:53 2022 ] 	Training loss: 0.8380.  Training acc: 98.48%.
+[ Tue Aug 23 12:20:53 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:20:53 2022 ] Eval epoch: 101
+[ Tue Aug 23 12:21:13 2022 ] 	Mean test loss of 312 batches: 1.728492.
+[ Tue Aug 23 12:21:13 2022 ] 	Top1: 68.27%
+[ Tue Aug 23 12:21:14 2022 ] 	Top5: 92.24%
+[ Tue Aug 23 12:21:14 2022 ] Training epoch: 102
+[ Tue Aug 23 12:21:46 2022 ] 	Training loss: 0.8344.  Training acc: 98.60%.
+[ Tue Aug 23 12:21:46 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:21:46 2022 ] Eval epoch: 102
+[ Tue Aug 23 12:22:05 2022 ] 	Mean test loss of 312 batches: 1.721637.
+[ Tue Aug 23 12:22:05 2022 ] 	Top1: 68.47%
+[ Tue Aug 23 12:22:05 2022 ] 	Top5: 92.31%
+[ Tue Aug 23 12:22:05 2022 ] Training epoch: 103
+[ Tue Aug 23 12:22:38 2022 ] 	Training loss: 0.8324.  Training acc: 98.82%.
+[ Tue Aug 23 12:22:38 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:22:38 2022 ] Eval epoch: 103
+[ Tue Aug 23 12:22:57 2022 ] 	Mean test loss of 312 batches: 1.718846.
+[ Tue Aug 23 12:22:57 2022 ] 	Top1: 68.29%
+[ Tue Aug 23 12:22:57 2022 ] 	Top5: 92.50%
+[ Tue Aug 23 12:22:57 2022 ] Training epoch: 104
+[ Tue Aug 23 12:23:30 2022 ] 	Training loss: 0.8340.  Training acc: 98.54%.
+[ Tue Aug 23 12:23:30 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:23:30 2022 ] Eval epoch: 104
+[ Tue Aug 23 12:23:49 2022 ] 	Mean test loss of 312 batches: 1.720041.
+[ Tue Aug 23 12:23:49 2022 ] 	Top1: 68.35%
+[ Tue Aug 23 12:23:49 2022 ] 	Top5: 92.41%
+[ Tue Aug 23 12:23:49 2022 ] Training epoch: 105
+[ Tue Aug 23 12:24:21 2022 ] 	Training loss: 0.8370.  Training acc: 98.59%.
+[ Tue Aug 23 12:24:21 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:24:21 2022 ] Eval epoch: 105
+[ Tue Aug 23 12:24:40 2022 ] 	Mean test loss of 312 batches: 1.716360.
+[ Tue Aug 23 12:24:41 2022 ] 	Top1: 68.44%
+[ Tue Aug 23 12:24:41 2022 ] 	Top5: 92.44%
+[ Tue Aug 23 12:24:41 2022 ] Training epoch: 106
+[ Tue Aug 23 12:25:13 2022 ] 	Training loss: 0.8323.  Training acc: 98.62%.
+[ Tue Aug 23 12:25:13 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:25:13 2022 ] Eval epoch: 106
+[ Tue Aug 23 12:25:33 2022 ] 	Mean test loss of 312 batches: 1.722437.
+[ Tue Aug 23 12:25:33 2022 ] 	Top1: 68.18%
+[ Tue Aug 23 12:25:33 2022 ] 	Top5: 92.49%
+[ Tue Aug 23 12:25:34 2022 ] Training epoch: 107
+[ Tue Aug 23 12:26:06 2022 ] 	Training loss: 0.8260.  Training acc: 98.80%.
+[ Tue Aug 23 12:26:06 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:26:06 2022 ] Eval epoch: 107
+[ Tue Aug 23 12:26:26 2022 ] 	Mean test loss of 312 batches: 1.721001.
+[ Tue Aug 23 12:26:26 2022 ] 	Top1: 68.22%
+[ Tue Aug 23 12:26:26 2022 ] 	Top5: 92.47%
+[ Tue Aug 23 12:26:27 2022 ] Training epoch: 108
+[ Tue Aug 23 12:26:59 2022 ] 	Training loss: 0.8321.  Training acc: 98.67%.
+[ Tue Aug 23 12:26:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Tue Aug 23 12:26:59 2022 ] Eval epoch: 108
+[ Tue Aug 23 12:27:18 2022 ] 	Mean test loss of 312 batches: 1.727735.
+[ Tue Aug 23 12:27:18 2022 ] 	Top1: 68.01%
+[ Tue Aug 23 12:27:18 2022 ] 	Top5: 92.27%
+[ Tue Aug 23 12:27:18 2022 ] Training epoch: 109
+[ Tue Aug 23 12:27:51 2022 ] 	Training loss: 0.8327.  Training acc: 98.63%.
+[ Tue Aug 23 12:27:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:27:51 2022 ] Eval epoch: 109
+[ Tue Aug 23 12:28:10 2022 ] 	Mean test loss of 312 batches: 1.722438.
+[ Tue Aug 23 12:28:10 2022 ] 	Top1: 68.17%
+[ Tue Aug 23 12:28:11 2022 ] 	Top5: 92.44%
+[ Tue Aug 23 12:28:11 2022 ] Training epoch: 110
+[ Tue Aug 23 12:28:43 2022 ] 	Training loss: 0.8334.  Training acc: 98.49%.
+[ Tue Aug 23 12:28:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Tue Aug 23 12:28:43 2022 ] Eval epoch: 110
+[ Tue Aug 23 12:29:01 2022 ] 	Mean test loss of 312 batches: 1.726634.
+[ Tue Aug 23 12:29:02 2022 ] 	Top1: 68.15%
+[ Tue Aug 23 12:29:02 2022 ] 	Top5: 92.21%

ckpt/Others/InfoGCN/ntu_60_xview_LT/b/best_score.pkl

@@ -0,0 +1,3 @@
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+oid sha256:df9816d5ecf0a4ad672535914aa6bb3ed5004a1dd0af7415cfcc0e1368392f3b
+size 5347532

ckpt/Others/InfoGCN/ntu_60_xview_LT/b/log.txt

@@ -0,0 +1,775 @@
+[ Wed Aug 24 16:18:01 2022 ] using warm up, epoch: 5
+[ Wed Aug 24 16:18:12 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 60, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu/NTU60_CV_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': False, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_60_xview_LT/b', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 1, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 128, 'test_batch_size': 128, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Wed Aug 24 16:18:12 2022 ] # Parameters: 1556807
+[ Wed Aug 24 16:18:12 2022 ] Training epoch: 1
+[ Wed Aug 24 16:18:46 2022 ] 	Training loss: 12.7615.  Training acc: 4.05%.
+[ Wed Aug 24 16:18:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Wed Aug 24 16:18:46 2022 ] Eval epoch: 1
+[ Wed Aug 24 16:19:08 2022 ] 	Mean test loss of 312 batches: 5.402005.
+[ Wed Aug 24 16:19:09 2022 ] 	Top1: 1.97%
+[ Wed Aug 24 16:19:09 2022 ] 	Top5: 8.30%
+[ Wed Aug 24 16:19:09 2022 ] Training epoch: 2
+[ Wed Aug 24 16:19:42 2022 ] 	Training loss: 5.6354.  Training acc: 3.79%.
+[ Wed Aug 24 16:19:42 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:19:42 2022 ] Eval epoch: 2
+[ Wed Aug 24 16:20:05 2022 ] 	Mean test loss of 312 batches: 4.922069.
+[ Wed Aug 24 16:20:05 2022 ] 	Top1: 3.00%
+[ Wed Aug 24 16:20:05 2022 ] 	Top5: 9.12%
+[ Wed Aug 24 16:20:05 2022 ] Training epoch: 3
+[ Wed Aug 24 16:20:39 2022 ] 	Training loss: 3.6078.  Training acc: 10.35%.
+[ Wed Aug 24 16:20:39 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:20:39 2022 ] Eval epoch: 3
+[ Wed Aug 24 16:21:02 2022 ] 	Mean test loss of 312 batches: 4.928310.
+[ Wed Aug 24 16:21:02 2022 ] 	Top1: 2.84%
+[ Wed Aug 24 16:21:02 2022 ] 	Top5: 17.20%
+[ Wed Aug 24 16:21:02 2022 ] Training epoch: 4
+[ Wed Aug 24 16:21:36 2022 ] 	Training loss: 3.4018.  Training acc: 12.55%.
+[ Wed Aug 24 16:21:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:21:36 2022 ] Eval epoch: 4
+[ Wed Aug 24 16:21:58 2022 ] 	Mean test loss of 312 batches: 4.205203.
+[ Wed Aug 24 16:21:58 2022 ] 	Top1: 3.63%
+[ Wed Aug 24 16:21:59 2022 ] 	Top5: 18.75%
+[ Wed Aug 24 16:21:59 2022 ] Training epoch: 5
+[ Wed Aug 24 16:22:33 2022 ] 	Training loss: 3.3139.  Training acc: 14.22%.
+[ Wed Aug 24 16:22:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:22:33 2022 ] Eval epoch: 5
+[ Wed Aug 24 16:23:01 2022 ] 	Mean test loss of 312 batches: 3.930662.
+[ Wed Aug 24 16:23:01 2022 ] 	Top1: 6.10%
+[ Wed Aug 24 16:23:01 2022 ] 	Top5: 24.74%
+[ Wed Aug 24 16:23:01 2022 ] Training epoch: 6
+[ Wed Aug 24 16:23:38 2022 ] 	Training loss: 3.2403.  Training acc: 15.69%.
+[ Wed Aug 24 16:23:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Wed Aug 24 16:23:38 2022 ] Eval epoch: 6
+[ Wed Aug 24 16:24:02 2022 ] 	Mean test loss of 312 batches: 4.332175.
+[ Wed Aug 24 16:24:02 2022 ] 	Top1: 5.41%
+[ Wed Aug 24 16:24:02 2022 ] 	Top5: 21.48%
+[ Wed Aug 24 16:24:02 2022 ] Training epoch: 7
+[ Wed Aug 24 16:24:40 2022 ] 	Training loss: 3.1710.  Training acc: 18.14%.
+[ Wed Aug 24 16:24:40 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:24:40 2022 ] Eval epoch: 7
+[ Wed Aug 24 16:25:05 2022 ] 	Mean test loss of 312 batches: 4.252732.
+[ Wed Aug 24 16:25:06 2022 ] 	Top1: 6.51%
+[ Wed Aug 24 16:25:06 2022 ] 	Top5: 25.03%
+[ Wed Aug 24 16:25:06 2022 ] Training epoch: 8
+[ Wed Aug 24 16:25:45 2022 ] 	Training loss: 3.0893.  Training acc: 21.98%.
+[ Wed Aug 24 16:25:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:25:45 2022 ] Eval epoch: 8
+[ Wed Aug 24 16:26:16 2022 ] 	Mean test loss of 312 batches: 4.602578.
+[ Wed Aug 24 16:26:16 2022 ] 	Top1: 6.03%
+[ Wed Aug 24 16:26:16 2022 ] 	Top5: 22.54%
+[ Wed Aug 24 16:26:16 2022 ] Training epoch: 9
+[ Wed Aug 24 16:26:57 2022 ] 	Training loss: 2.9620.  Training acc: 26.68%.
+[ Wed Aug 24 16:26:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:26:57 2022 ] Eval epoch: 9
+[ Wed Aug 24 16:27:24 2022 ] 	Mean test loss of 312 batches: 5.299562.
+[ Wed Aug 24 16:27:24 2022 ] 	Top1: 3.32%
+[ Wed Aug 24 16:27:24 2022 ] 	Top5: 14.18%
+[ Wed Aug 24 16:27:24 2022 ] Training epoch: 10
+[ Wed Aug 24 16:28:07 2022 ] 	Training loss: 2.8679.  Training acc: 30.90%.
+[ Wed Aug 24 16:28:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:28:07 2022 ] Eval epoch: 10
+[ Wed Aug 24 16:28:36 2022 ] 	Mean test loss of 312 batches: 4.595403.
+[ Wed Aug 24 16:28:36 2022 ] 	Top1: 5.43%
+[ Wed Aug 24 16:28:36 2022 ] 	Top5: 20.86%
+[ Wed Aug 24 16:28:36 2022 ] Training epoch: 11
+[ Wed Aug 24 16:29:17 2022 ] 	Training loss: 2.7980.  Training acc: 32.70%.
+[ Wed Aug 24 16:29:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:29:17 2022 ] Eval epoch: 11
+[ Wed Aug 24 16:30:04 2022 ] 	Mean test loss of 312 batches: 4.359690.
+[ Wed Aug 24 16:30:04 2022 ] 	Top1: 6.69%
+[ Wed Aug 24 16:30:04 2022 ] 	Top5: 28.29%
+[ Wed Aug 24 16:30:04 2022 ] Training epoch: 12
+[ Wed Aug 24 16:30:50 2022 ] 	Training loss: 2.7598.  Training acc: 33.68%.
+[ Wed Aug 24 16:30:50 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:30:50 2022 ] Eval epoch: 12
+[ Wed Aug 24 16:31:27 2022 ] 	Mean test loss of 312 batches: 4.941538.
+[ Wed Aug 24 16:31:27 2022 ] 	Top1: 7.71%
+[ Wed Aug 24 16:31:27 2022 ] 	Top5: 30.88%
+[ Wed Aug 24 16:31:27 2022 ] Training epoch: 13
+[ Wed Aug 24 16:32:15 2022 ] 	Training loss: 2.6599.  Training acc: 37.05%.
+[ Wed Aug 24 16:32:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:32:15 2022 ] Eval epoch: 13
+[ Wed Aug 24 16:32:57 2022 ] 	Mean test loss of 312 batches: 4.661003.
+[ Wed Aug 24 16:32:58 2022 ] 	Top1: 9.21%
+[ Wed Aug 24 16:32:58 2022 ] 	Top5: 35.47%
+[ Wed Aug 24 16:32:58 2022 ] Training epoch: 14
+[ Wed Aug 24 16:33:52 2022 ] 	Training loss: 2.6062.  Training acc: 37.95%.
+[ Wed Aug 24 16:33:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:33:52 2022 ] Eval epoch: 14
+[ Wed Aug 24 16:34:37 2022 ] 	Mean test loss of 312 batches: 4.032882.
+[ Wed Aug 24 16:34:37 2022 ] 	Top1: 9.05%
+[ Wed Aug 24 16:34:37 2022 ] 	Top5: 29.91%
+[ Wed Aug 24 16:34:38 2022 ] Training epoch: 15
+[ Wed Aug 24 16:35:28 2022 ] 	Training loss: 2.5205.  Training acc: 40.00%.
+[ Wed Aug 24 16:35:28 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:35:28 2022 ] Eval epoch: 15
+[ Wed Aug 24 16:36:31 2022 ] 	Mean test loss of 312 batches: 3.847731.
+[ Wed Aug 24 16:36:31 2022 ] 	Top1: 11.45%
+[ Wed Aug 24 16:36:31 2022 ] 	Top5: 38.60%
+[ Wed Aug 24 16:36:31 2022 ] Training epoch: 16
+[ Wed Aug 24 16:37:15 2022 ] 	Training loss: 2.4468.  Training acc: 42.90%.
+[ Wed Aug 24 16:37:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:37:15 2022 ] Eval epoch: 16
+[ Wed Aug 24 16:37:51 2022 ] 	Mean test loss of 312 batches: 3.995375.
+[ Wed Aug 24 16:37:51 2022 ] 	Top1: 13.10%
+[ Wed Aug 24 16:37:51 2022 ] 	Top5: 36.64%
+[ Wed Aug 24 16:37:51 2022 ] Training epoch: 17
+[ Wed Aug 24 16:38:45 2022 ] 	Training loss: 2.4021.  Training acc: 43.25%.
+[ Wed Aug 24 16:38:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:38:45 2022 ] Eval epoch: 17
+[ Wed Aug 24 16:39:37 2022 ] 	Mean test loss of 312 batches: 5.080871.
+[ Wed Aug 24 16:39:37 2022 ] 	Top1: 7.59%
+[ Wed Aug 24 16:39:37 2022 ] 	Top5: 25.36%
+[ Wed Aug 24 16:39:37 2022 ] Training epoch: 18
+[ Wed Aug 24 16:40:23 2022 ] 	Training loss: 2.3324.  Training acc: 45.98%.
+[ Wed Aug 24 16:40:23 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:40:23 2022 ] Eval epoch: 18
+[ Wed Aug 24 16:41:12 2022 ] 	Mean test loss of 312 batches: 3.750855.
+[ Wed Aug 24 16:41:12 2022 ] 	Top1: 12.83%
+[ Wed Aug 24 16:41:12 2022 ] 	Top5: 41.05%
+[ Wed Aug 24 16:41:12 2022 ] Training epoch: 19
+[ Wed Aug 24 16:42:01 2022 ] 	Training loss: 2.2982.  Training acc: 46.08%.
+[ Wed Aug 24 16:42:01 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:42:01 2022 ] Eval epoch: 19
+[ Wed Aug 24 16:43:01 2022 ] 	Mean test loss of 312 batches: 5.439034.
+[ Wed Aug 24 16:43:01 2022 ] 	Top1: 4.90%
+[ Wed Aug 24 16:43:01 2022 ] 	Top5: 24.75%
+[ Wed Aug 24 16:43:01 2022 ] Training epoch: 20
+[ Wed Aug 24 16:43:44 2022 ] 	Training loss: 2.2689.  Training acc: 47.62%.
+[ Wed Aug 24 16:43:44 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:43:44 2022 ] Eval epoch: 20
+[ Wed Aug 24 16:44:59 2022 ] 	Mean test loss of 312 batches: 4.500897.
+[ Wed Aug 24 16:44:59 2022 ] 	Top1: 10.65%
+[ Wed Aug 24 16:44:59 2022 ] 	Top5: 34.59%
+[ Wed Aug 24 16:45:00 2022 ] Training epoch: 21
+[ Wed Aug 24 16:45:41 2022 ] 	Training loss: 2.2209.  Training acc: 48.98%.
+[ Wed Aug 24 16:45:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:45:41 2022 ] Eval epoch: 21
+[ Wed Aug 24 16:46:25 2022 ] 	Mean test loss of 312 batches: 4.108659.
+[ Wed Aug 24 16:46:25 2022 ] 	Top1: 13.57%
+[ Wed Aug 24 16:46:25 2022 ] 	Top5: 45.30%
+[ Wed Aug 24 16:46:25 2022 ] Training epoch: 22
+[ Wed Aug 24 16:47:09 2022 ] 	Training loss: 2.1940.  Training acc: 49.97%.
+[ Wed Aug 24 16:47:09 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:47:09 2022 ] Eval epoch: 22
+[ Wed Aug 24 16:48:10 2022 ] 	Mean test loss of 312 batches: 5.345444.
+[ Wed Aug 24 16:48:10 2022 ] 	Top1: 9.51%
+[ Wed Aug 24 16:48:10 2022 ] 	Top5: 33.34%
+[ Wed Aug 24 16:48:10 2022 ] Training epoch: 23
+[ Wed Aug 24 16:48:57 2022 ] 	Training loss: 2.1518.  Training acc: 51.99%.
+[ Wed Aug 24 16:48:57 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:48:57 2022 ] Eval epoch: 23
+[ Wed Aug 24 16:49:57 2022 ] 	Mean test loss of 312 batches: 3.787805.
+[ Wed Aug 24 16:49:57 2022 ] 	Top1: 13.51%
+[ Wed Aug 24 16:49:57 2022 ] 	Top5: 49.24%
+[ Wed Aug 24 16:49:57 2022 ] Training epoch: 24
+[ Wed Aug 24 16:50:48 2022 ] 	Training loss: 2.1261.  Training acc: 52.63%.
+[ Wed Aug 24 16:50:48 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:50:48 2022 ] Eval epoch: 24
+[ Wed Aug 24 16:51:51 2022 ] 	Mean test loss of 312 batches: 3.994893.
+[ Wed Aug 24 16:51:51 2022 ] 	Top1: 18.32%
+[ Wed Aug 24 16:51:51 2022 ] 	Top5: 51.51%
+[ Wed Aug 24 16:51:51 2022 ] Training epoch: 25
+[ Wed Aug 24 16:52:32 2022 ] 	Training loss: 2.0687.  Training acc: 54.60%.
+[ Wed Aug 24 16:52:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:52:32 2022 ] Eval epoch: 25
+[ Wed Aug 24 16:53:49 2022 ] 	Mean test loss of 312 batches: 5.528459.
+[ Wed Aug 24 16:53:49 2022 ] 	Top1: 10.20%
+[ Wed Aug 24 16:53:49 2022 ] 	Top5: 36.20%
+[ Wed Aug 24 16:53:49 2022 ] Training epoch: 26
+[ Wed Aug 24 16:54:30 2022 ] 	Training loss: 2.0394.  Training acc: 56.21%.
+[ Wed Aug 24 16:54:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:54:30 2022 ] Eval epoch: 26
+[ Wed Aug 24 16:55:27 2022 ] 	Mean test loss of 312 batches: 3.073730.
+[ Wed Aug 24 16:55:27 2022 ] 	Top1: 25.58%
+[ Wed Aug 24 16:55:27 2022 ] 	Top5: 63.69%
+[ Wed Aug 24 16:55:28 2022 ] Training epoch: 27
+[ Wed Aug 24 16:56:14 2022 ] 	Training loss: 1.9885.  Training acc: 57.80%.
+[ Wed Aug 24 16:56:14 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:56:14 2022 ] Eval epoch: 27
+[ Wed Aug 24 16:57:16 2022 ] 	Mean test loss of 312 batches: 4.302000.
+[ Wed Aug 24 16:57:16 2022 ] 	Top1: 14.85%
+[ Wed Aug 24 16:57:16 2022 ] 	Top5: 52.97%
+[ Wed Aug 24 16:57:16 2022 ] Training epoch: 28
+[ Wed Aug 24 16:58:05 2022 ] 	Training loss: 1.9535.  Training acc: 58.80%.
+[ Wed Aug 24 16:58:05 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:58:05 2022 ] Eval epoch: 28
+[ Wed Aug 24 16:59:19 2022 ] 	Mean test loss of 312 batches: 3.649116.
+[ Wed Aug 24 16:59:19 2022 ] 	Top1: 18.84%
+[ Wed Aug 24 16:59:19 2022 ] 	Top5: 58.51%
+[ Wed Aug 24 16:59:19 2022 ] Training epoch: 29
+[ Wed Aug 24 17:00:10 2022 ] 	Training loss: 1.9146.  Training acc: 60.34%.
+[ Wed Aug 24 17:00:10 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:00:10 2022 ] Eval epoch: 29
+[ Wed Aug 24 17:01:15 2022 ] 	Mean test loss of 312 batches: 3.035594.
+[ Wed Aug 24 17:01:15 2022 ] 	Top1: 29.83%
+[ Wed Aug 24 17:01:16 2022 ] 	Top5: 67.09%
+[ Wed Aug 24 17:01:16 2022 ] Training epoch: 30
+[ Wed Aug 24 17:01:56 2022 ] 	Training loss: 1.8674.  Training acc: 61.40%.
+[ Wed Aug 24 17:01:56 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:01:56 2022 ] Eval epoch: 30
+[ Wed Aug 24 17:03:12 2022 ] 	Mean test loss of 312 batches: 2.816739.
+[ Wed Aug 24 17:03:13 2022 ] 	Top1: 31.53%
+[ Wed Aug 24 17:03:13 2022 ] 	Top5: 70.93%
+[ Wed Aug 24 17:03:13 2022 ] Training epoch: 31
+[ Wed Aug 24 17:03:50 2022 ] 	Training loss: 1.8401.  Training acc: 62.33%.
+[ Wed Aug 24 17:03:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:03:50 2022 ] Eval epoch: 31
+[ Wed Aug 24 17:04:59 2022 ] 	Mean test loss of 312 batches: 2.632071.
+[ Wed Aug 24 17:04:59 2022 ] 	Top1: 35.19%
+[ Wed Aug 24 17:04:59 2022 ] 	Top5: 74.86%
+[ Wed Aug 24 17:04:59 2022 ] Training epoch: 32
+[ Wed Aug 24 17:05:45 2022 ] 	Training loss: 1.8067.  Training acc: 63.76%.
+[ Wed Aug 24 17:05:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:05:45 2022 ] Eval epoch: 32
+[ Wed Aug 24 17:06:28 2022 ] 	Mean test loss of 312 batches: 3.191303.
+[ Wed Aug 24 17:06:28 2022 ] 	Top1: 26.79%
+[ Wed Aug 24 17:06:28 2022 ] 	Top5: 64.75%
+[ Wed Aug 24 17:06:28 2022 ] Training epoch: 33
+[ Wed Aug 24 17:07:15 2022 ] 	Training loss: 1.7881.  Training acc: 64.68%.
+[ Wed Aug 24 17:07:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:07:15 2022 ] Eval epoch: 33
+[ Wed Aug 24 17:08:13 2022 ] 	Mean test loss of 312 batches: 3.078658.
+[ Wed Aug 24 17:08:13 2022 ] 	Top1: 27.69%
+[ Wed Aug 24 17:08:13 2022 ] 	Top5: 71.93%
+[ Wed Aug 24 17:08:13 2022 ] Training epoch: 34
+[ Wed Aug 24 17:09:05 2022 ] 	Training loss: 1.7557.  Training acc: 65.33%.
+[ Wed Aug 24 17:09:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:09:05 2022 ] Eval epoch: 34
+[ Wed Aug 24 17:09:56 2022 ] 	Mean test loss of 312 batches: 3.290725.
+[ Wed Aug 24 17:09:56 2022 ] 	Top1: 27.62%
+[ Wed Aug 24 17:09:56 2022 ] 	Top5: 71.02%
+[ Wed Aug 24 17:09:56 2022 ] Training epoch: 35
+[ Wed Aug 24 17:10:45 2022 ] 	Training loss: 1.7450.  Training acc: 66.00%.
+[ Wed Aug 24 17:10:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:10:45 2022 ] Eval epoch: 35
+[ Wed Aug 24 17:11:52 2022 ] 	Mean test loss of 312 batches: 2.784340.
+[ Wed Aug 24 17:11:52 2022 ] 	Top1: 34.17%
+[ Wed Aug 24 17:11:52 2022 ] 	Top5: 71.65%
+[ Wed Aug 24 17:11:52 2022 ] Training epoch: 36
+[ Wed Aug 24 17:12:34 2022 ] 	Training loss: 1.7063.  Training acc: 67.32%.
+[ Wed Aug 24 17:12:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:12:34 2022 ] Eval epoch: 36
+[ Wed Aug 24 17:13:14 2022 ] 	Mean test loss of 312 batches: 2.656838.
+[ Wed Aug 24 17:13:14 2022 ] 	Top1: 35.33%
+[ Wed Aug 24 17:13:14 2022 ] 	Top5: 73.99%
+[ Wed Aug 24 17:13:15 2022 ] Training epoch: 37
+[ Wed Aug 24 17:14:11 2022 ] 	Training loss: 1.6901.  Training acc: 68.10%.
+[ Wed Aug 24 17:14:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:14:11 2022 ] Eval epoch: 37
+[ Wed Aug 24 17:14:47 2022 ] 	Mean test loss of 312 batches: 2.345011.
+[ Wed Aug 24 17:14:47 2022 ] 	Top1: 43.39%
+[ Wed Aug 24 17:14:48 2022 ] 	Top5: 81.45%
+[ Wed Aug 24 17:14:48 2022 ] Training epoch: 38
+[ Wed Aug 24 17:15:37 2022 ] 	Training loss: 1.6834.  Training acc: 68.17%.
+[ Wed Aug 24 17:15:37 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:15:37 2022 ] Eval epoch: 38
+[ Wed Aug 24 17:16:23 2022 ] 	Mean test loss of 312 batches: 2.617957.
+[ Wed Aug 24 17:16:23 2022 ] 	Top1: 36.17%
+[ Wed Aug 24 17:16:23 2022 ] 	Top5: 75.98%
+[ Wed Aug 24 17:16:23 2022 ] Training epoch: 39
+[ Wed Aug 24 17:17:18 2022 ] 	Training loss: 1.6532.  Training acc: 69.33%.
+[ Wed Aug 24 17:17:18 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:17:18 2022 ] Eval epoch: 39
+[ Wed Aug 24 17:18:00 2022 ] 	Mean test loss of 312 batches: 2.605784.
+[ Wed Aug 24 17:18:00 2022 ] 	Top1: 38.98%
+[ Wed Aug 24 17:18:01 2022 ] 	Top5: 76.65%
+[ Wed Aug 24 17:18:01 2022 ] Training epoch: 40
+[ Wed Aug 24 17:18:50 2022 ] 	Training loss: 1.6261.  Training acc: 70.15%.
+[ Wed Aug 24 17:18:50 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:18:50 2022 ] Eval epoch: 40
+[ Wed Aug 24 17:19:37 2022 ] 	Mean test loss of 312 batches: 2.677236.
+[ Wed Aug 24 17:19:37 2022 ] 	Top1: 37.17%
+[ Wed Aug 24 17:19:37 2022 ] 	Top5: 75.92%
+[ Wed Aug 24 17:19:38 2022 ] Training epoch: 41
+[ Wed Aug 24 17:20:32 2022 ] 	Training loss: 1.6051.  Training acc: 70.97%.
+[ Wed Aug 24 17:20:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:20:32 2022 ] Eval epoch: 41
+[ Wed Aug 24 17:21:22 2022 ] 	Mean test loss of 312 batches: 2.342488.
+[ Wed Aug 24 17:21:22 2022 ] 	Top1: 44.09%
+[ Wed Aug 24 17:21:22 2022 ] 	Top5: 78.49%
+[ Wed Aug 24 17:21:23 2022 ] Training epoch: 42
+[ Wed Aug 24 17:22:06 2022 ] 	Training loss: 1.5725.  Training acc: 72.08%.
+[ Wed Aug 24 17:22:06 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:22:06 2022 ] Eval epoch: 42
+[ Wed Aug 24 17:23:10 2022 ] 	Mean test loss of 312 batches: 2.475539.
+[ Wed Aug 24 17:23:10 2022 ] 	Top1: 42.48%
+[ Wed Aug 24 17:23:11 2022 ] 	Top5: 78.20%
+[ Wed Aug 24 17:23:11 2022 ] Training epoch: 43
+[ Wed Aug 24 17:23:54 2022 ] 	Training loss: 1.5840.  Training acc: 71.58%.
+[ Wed Aug 24 17:23:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:23:54 2022 ] Eval epoch: 43
+[ Wed Aug 24 17:24:38 2022 ] 	Mean test loss of 312 batches: 2.541093.
+[ Wed Aug 24 17:24:38 2022 ] 	Top1: 41.69%
+[ Wed Aug 24 17:24:38 2022 ] 	Top5: 76.12%
+[ Wed Aug 24 17:24:38 2022 ] Training epoch: 44
+[ Wed Aug 24 17:25:31 2022 ] 	Training loss: 1.5486.  Training acc: 72.85%.
+[ Wed Aug 24 17:25:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:25:31 2022 ] Eval epoch: 44
+[ Wed Aug 24 17:26:31 2022 ] 	Mean test loss of 312 batches: 2.408077.
+[ Wed Aug 24 17:26:31 2022 ] 	Top1: 44.64%
+[ Wed Aug 24 17:26:31 2022 ] 	Top5: 79.61%
+[ Wed Aug 24 17:26:32 2022 ] Training epoch: 45
+[ Wed Aug 24 17:27:17 2022 ] 	Training loss: 1.5337.  Training acc: 73.86%.
+[ Wed Aug 24 17:27:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:27:17 2022 ] Eval epoch: 45
+[ Wed Aug 24 17:28:17 2022 ] 	Mean test loss of 312 batches: 2.319645.
+[ Wed Aug 24 17:28:17 2022 ] 	Top1: 46.00%
+[ Wed Aug 24 17:28:18 2022 ] 	Top5: 83.04%
+[ Wed Aug 24 17:28:18 2022 ] Training epoch: 46
+[ Wed Aug 24 17:29:10 2022 ] 	Training loss: 1.5192.  Training acc: 74.14%.
+[ Wed Aug 24 17:29:10 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:29:10 2022 ] Eval epoch: 46
+[ Wed Aug 24 17:30:10 2022 ] 	Mean test loss of 312 batches: 2.691303.
+[ Wed Aug 24 17:30:10 2022 ] 	Top1: 36.28%
+[ Wed Aug 24 17:30:10 2022 ] 	Top5: 73.58%
+[ Wed Aug 24 17:30:11 2022 ] Training epoch: 47
+[ Wed Aug 24 17:30:52 2022 ] 	Training loss: 1.5165.  Training acc: 74.37%.
+[ Wed Aug 24 17:30:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:30:52 2022 ] Eval epoch: 47
+[ Wed Aug 24 17:31:46 2022 ] 	Mean test loss of 312 batches: 2.334127.
+[ Wed Aug 24 17:31:46 2022 ] 	Top1: 45.19%
+[ Wed Aug 24 17:31:46 2022 ] 	Top5: 82.01%
+[ Wed Aug 24 17:31:46 2022 ] Training epoch: 48
+[ Wed Aug 24 17:32:34 2022 ] 	Training loss: 1.5008.  Training acc: 74.77%.
+[ Wed Aug 24 17:32:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:32:34 2022 ] Eval epoch: 48
+[ Wed Aug 24 17:33:09 2022 ] 	Mean test loss of 312 batches: 2.425077.
+[ Wed Aug 24 17:33:09 2022 ] 	Top1: 44.01%
+[ Wed Aug 24 17:33:09 2022 ] 	Top5: 79.55%
+[ Wed Aug 24 17:33:10 2022 ] Training epoch: 49
+[ Wed Aug 24 17:33:58 2022 ] 	Training loss: 1.4780.  Training acc: 75.77%.
+[ Wed Aug 24 17:33:58 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:33:58 2022 ] Eval epoch: 49
+[ Wed Aug 24 17:34:58 2022 ] 	Mean test loss of 312 batches: 2.370918.
+[ Wed Aug 24 17:34:58 2022 ] 	Top1: 44.90%
+[ Wed Aug 24 17:34:58 2022 ] 	Top5: 81.26%
+[ Wed Aug 24 17:34:59 2022 ] Training epoch: 50
+[ Wed Aug 24 17:35:43 2022 ] 	Training loss: 1.4654.  Training acc: 76.63%.
+[ Wed Aug 24 17:35:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:35:43 2022 ] Eval epoch: 50
+[ Wed Aug 24 17:36:41 2022 ] 	Mean test loss of 312 batches: 2.473040.
+[ Wed Aug 24 17:36:42 2022 ] 	Top1: 42.63%
+[ Wed Aug 24 17:36:42 2022 ] 	Top5: 77.41%
+[ Wed Aug 24 17:36:42 2022 ] Training epoch: 51
+[ Wed Aug 24 17:37:33 2022 ] 	Training loss: 1.4511.  Training acc: 76.42%.
+[ Wed Aug 24 17:37:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:37:33 2022 ] Eval epoch: 51
+[ Wed Aug 24 17:38:19 2022 ] 	Mean test loss of 312 batches: 2.278264.
+[ Wed Aug 24 17:38:19 2022 ] 	Top1: 48.29%
+[ Wed Aug 24 17:38:19 2022 ] 	Top5: 84.51%
+[ Wed Aug 24 17:38:19 2022 ] Training epoch: 52
+[ Wed Aug 24 17:39:10 2022 ] 	Training loss: 1.4475.  Training acc: 76.61%.
+[ Wed Aug 24 17:39:10 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:39:10 2022 ] Eval epoch: 52
+[ Wed Aug 24 17:40:00 2022 ] 	Mean test loss of 312 batches: 2.550218.
+[ Wed Aug 24 17:40:00 2022 ] 	Top1: 42.75%
+[ Wed Aug 24 17:40:00 2022 ] 	Top5: 78.90%
+[ Wed Aug 24 17:40:00 2022 ] Training epoch: 53
+[ Wed Aug 24 17:40:54 2022 ] 	Training loss: 1.4314.  Training acc: 77.42%.
+[ Wed Aug 24 17:40:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:40:54 2022 ] Eval epoch: 53
+[ Wed Aug 24 17:41:41 2022 ] 	Mean test loss of 312 batches: 2.397251.
+[ Wed Aug 24 17:41:41 2022 ] 	Top1: 46.73%
+[ Wed Aug 24 17:41:42 2022 ] 	Top5: 81.78%
+[ Wed Aug 24 17:41:42 2022 ] Training epoch: 54
+[ Wed Aug 24 17:42:29 2022 ] 	Training loss: 1.4218.  Training acc: 77.93%.
+[ Wed Aug 24 17:42:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:42:29 2022 ] Eval epoch: 54
+[ Wed Aug 24 17:43:30 2022 ] 	Mean test loss of 312 batches: 2.162877.
+[ Wed Aug 24 17:43:30 2022 ] 	Top1: 50.02%
+[ Wed Aug 24 17:43:30 2022 ] 	Top5: 85.98%
+[ Wed Aug 24 17:43:30 2022 ] Training epoch: 55
+[ Wed Aug 24 17:44:17 2022 ] 	Training loss: 1.4113.  Training acc: 78.06%.
+[ Wed Aug 24 17:44:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:44:17 2022 ] Eval epoch: 55
+[ Wed Aug 24 17:44:54 2022 ] 	Mean test loss of 312 batches: 2.341504.
+[ Wed Aug 24 17:44:54 2022 ] 	Top1: 45.53%
+[ Wed Aug 24 17:44:54 2022 ] 	Top5: 81.40%
+[ Wed Aug 24 17:44:55 2022 ] Training epoch: 56
+[ Wed Aug 24 17:45:54 2022 ] 	Training loss: 1.4083.  Training acc: 78.48%.
+[ Wed Aug 24 17:45:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:45:54 2022 ] Eval epoch: 56
+[ Wed Aug 24 17:46:49 2022 ] 	Mean test loss of 312 batches: 2.189325.
+[ Wed Aug 24 17:46:49 2022 ] 	Top1: 51.98%
+[ Wed Aug 24 17:46:49 2022 ] 	Top5: 84.93%
+[ Wed Aug 24 17:46:50 2022 ] Training epoch: 57
+[ Wed Aug 24 17:47:37 2022 ] 	Training loss: 1.3862.  Training acc: 79.14%.
+[ Wed Aug 24 17:47:37 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:47:37 2022 ] Eval epoch: 57
+[ Wed Aug 24 17:48:24 2022 ] 	Mean test loss of 312 batches: 2.536274.
+[ Wed Aug 24 17:48:24 2022 ] 	Top1: 41.87%
+[ Wed Aug 24 17:48:24 2022 ] 	Top5: 80.60%
+[ Wed Aug 24 17:48:24 2022 ] Training epoch: 58
+[ Wed Aug 24 17:49:20 2022 ] 	Training loss: 1.3734.  Training acc: 79.80%.
+[ Wed Aug 24 17:49:20 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:49:20 2022 ] Eval epoch: 58
+[ Wed Aug 24 17:50:03 2022 ] 	Mean test loss of 312 batches: 2.208107.
+[ Wed Aug 24 17:50:04 2022 ] 	Top1: 50.99%
+[ Wed Aug 24 17:50:04 2022 ] 	Top5: 84.43%
+[ Wed Aug 24 17:50:04 2022 ] Training epoch: 59
+[ Wed Aug 24 17:50:57 2022 ] 	Training loss: 1.3683.  Training acc: 79.88%.
+[ Wed Aug 24 17:50:57 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:50:57 2022 ] Eval epoch: 59
+[ Wed Aug 24 17:51:37 2022 ] 	Mean test loss of 312 batches: 2.403095.
+[ Wed Aug 24 17:51:37 2022 ] 	Top1: 46.73%
+[ Wed Aug 24 17:51:37 2022 ] 	Top5: 81.47%
+[ Wed Aug 24 17:51:37 2022 ] Training epoch: 60
+[ Wed Aug 24 17:52:25 2022 ] 	Training loss: 1.3557.  Training acc: 79.78%.
+[ Wed Aug 24 17:52:25 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:52:25 2022 ] Eval epoch: 60
+[ Wed Aug 24 17:53:10 2022 ] 	Mean test loss of 312 batches: 2.770039.
+[ Wed Aug 24 17:53:11 2022 ] 	Top1: 37.17%
+[ Wed Aug 24 17:53:11 2022 ] 	Top5: 70.93%
+[ Wed Aug 24 17:53:11 2022 ] Training epoch: 61
+[ Wed Aug 24 17:53:51 2022 ] 	Training loss: 1.3627.  Training acc: 80.07%.
+[ Wed Aug 24 17:53:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:53:51 2022 ] Eval epoch: 61
+[ Wed Aug 24 17:54:40 2022 ] 	Mean test loss of 312 batches: 2.232022.
+[ Wed Aug 24 17:54:40 2022 ] 	Top1: 50.32%
+[ Wed Aug 24 17:54:40 2022 ] 	Top5: 83.36%
+[ Wed Aug 24 17:54:40 2022 ] Training epoch: 62
+[ Wed Aug 24 17:55:23 2022 ] 	Training loss: 1.3286.  Training acc: 81.13%.
+[ Wed Aug 24 17:55:23 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:55:23 2022 ] Eval epoch: 62
+[ Wed Aug 24 17:55:59 2022 ] 	Mean test loss of 312 batches: 2.153759.
+[ Wed Aug 24 17:55:59 2022 ] 	Top1: 52.40%
+[ Wed Aug 24 17:55:59 2022 ] 	Top5: 85.76%
+[ Wed Aug 24 17:55:59 2022 ] Training epoch: 63
+[ Wed Aug 24 17:56:51 2022 ] 	Training loss: 1.3395.  Training acc: 80.35%.
+[ Wed Aug 24 17:56:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:56:51 2022 ] Eval epoch: 63
+[ Wed Aug 24 17:57:54 2022 ] 	Mean test loss of 312 batches: 2.360930.
+[ Wed Aug 24 17:57:55 2022 ] 	Top1: 46.02%
+[ Wed Aug 24 17:57:55 2022 ] 	Top5: 80.99%
+[ Wed Aug 24 17:57:55 2022 ] Training epoch: 64
+[ Wed Aug 24 17:58:39 2022 ] 	Training loss: 1.3219.  Training acc: 81.37%.
+[ Wed Aug 24 17:58:39 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:58:39 2022 ] Eval epoch: 64
+[ Wed Aug 24 17:59:47 2022 ] 	Mean test loss of 312 batches: 2.304444.
+[ Wed Aug 24 17:59:47 2022 ] 	Top1: 47.34%
+[ Wed Aug 24 17:59:47 2022 ] 	Top5: 80.73%
+[ Wed Aug 24 17:59:47 2022 ] Training epoch: 65
+[ Wed Aug 24 18:00:35 2022 ] 	Training loss: 1.3222.  Training acc: 81.24%.
+[ Wed Aug 24 18:00:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:00:35 2022 ] Eval epoch: 65
+[ Wed Aug 24 18:01:16 2022 ] 	Mean test loss of 312 batches: 2.425349.
+[ Wed Aug 24 18:01:16 2022 ] 	Top1: 47.74%
+[ Wed Aug 24 18:01:16 2022 ] 	Top5: 79.39%
+[ Wed Aug 24 18:01:16 2022 ] Training epoch: 66
+[ Wed Aug 24 18:02:00 2022 ] 	Training loss: 1.3234.  Training acc: 81.30%.
+[ Wed Aug 24 18:02:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:02:00 2022 ] Eval epoch: 66
+[ Wed Aug 24 18:02:56 2022 ] 	Mean test loss of 312 batches: 2.285543.
+[ Wed Aug 24 18:02:56 2022 ] 	Top1: 49.79%
+[ Wed Aug 24 18:02:56 2022 ] 	Top5: 83.22%
+[ Wed Aug 24 18:02:56 2022 ] Training epoch: 67
+[ Wed Aug 24 18:03:49 2022 ] 	Training loss: 1.3001.  Training acc: 82.42%.
+[ Wed Aug 24 18:03:49 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:03:49 2022 ] Eval epoch: 67
+[ Wed Aug 24 18:04:34 2022 ] 	Mean test loss of 312 batches: 2.125893.
+[ Wed Aug 24 18:04:34 2022 ] 	Top1: 53.38%
+[ Wed Aug 24 18:04:34 2022 ] 	Top5: 87.51%
+[ Wed Aug 24 18:04:34 2022 ] Training epoch: 68
+[ Wed Aug 24 18:05:22 2022 ] 	Training loss: 1.2895.  Training acc: 82.61%.
+[ Wed Aug 24 18:05:22 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:05:22 2022 ] Eval epoch: 68
+[ Wed Aug 24 18:06:37 2022 ] 	Mean test loss of 312 batches: 2.115982.
+[ Wed Aug 24 18:06:37 2022 ] 	Top1: 55.27%
+[ Wed Aug 24 18:06:37 2022 ] 	Top5: 85.11%
+[ Wed Aug 24 18:06:37 2022 ] Training epoch: 69
+[ Wed Aug 24 18:07:15 2022 ] 	Training loss: 1.2901.  Training acc: 82.56%.
+[ Wed Aug 24 18:07:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:07:15 2022 ] Eval epoch: 69
+[ Wed Aug 24 18:08:13 2022 ] 	Mean test loss of 312 batches: 2.179170.
+[ Wed Aug 24 18:08:14 2022 ] 	Top1: 51.46%
+[ Wed Aug 24 18:08:14 2022 ] 	Top5: 84.29%
+[ Wed Aug 24 18:08:14 2022 ] Training epoch: 70
+[ Wed Aug 24 18:09:08 2022 ] 	Training loss: 1.2907.  Training acc: 82.36%.
+[ Wed Aug 24 18:09:08 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:09:08 2022 ] Eval epoch: 70
+[ Wed Aug 24 18:09:48 2022 ] 	Mean test loss of 312 batches: 2.177238.
+[ Wed Aug 24 18:09:48 2022 ] 	Top1: 51.21%
+[ Wed Aug 24 18:09:48 2022 ] 	Top5: 86.17%
+[ Wed Aug 24 18:09:48 2022 ] Training epoch: 71
+[ Wed Aug 24 18:10:33 2022 ] 	Training loss: 1.2745.  Training acc: 82.97%.
+[ Wed Aug 24 18:10:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:10:33 2022 ] Eval epoch: 71
+[ Wed Aug 24 18:11:34 2022 ] 	Mean test loss of 312 batches: 2.080256.
+[ Wed Aug 24 18:11:35 2022 ] 	Top1: 56.02%
+[ Wed Aug 24 18:11:35 2022 ] 	Top5: 87.83%
+[ Wed Aug 24 18:11:35 2022 ] Training epoch: 72
+[ Wed Aug 24 18:12:25 2022 ] 	Training loss: 1.2596.  Training acc: 83.08%.
+[ Wed Aug 24 18:12:25 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:12:25 2022 ] Eval epoch: 72
+[ Wed Aug 24 18:13:10 2022 ] 	Mean test loss of 312 batches: 2.108719.
+[ Wed Aug 24 18:13:10 2022 ] 	Top1: 54.97%
+[ Wed Aug 24 18:13:10 2022 ] 	Top5: 84.78%
+[ Wed Aug 24 18:13:10 2022 ] Training epoch: 73
+[ Wed Aug 24 18:13:55 2022 ] 	Training loss: 1.2589.  Training acc: 83.61%.
+[ Wed Aug 24 18:13:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:13:55 2022 ] Eval epoch: 73
+[ Wed Aug 24 18:15:07 2022 ] 	Mean test loss of 312 batches: 2.087854.
+[ Wed Aug 24 18:15:08 2022 ] 	Top1: 53.91%
+[ Wed Aug 24 18:15:08 2022 ] 	Top5: 87.79%
+[ Wed Aug 24 18:15:08 2022 ] Training epoch: 74
+[ Wed Aug 24 18:15:53 2022 ] 	Training loss: 1.2423.  Training acc: 83.80%.
+[ Wed Aug 24 18:15:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:15:53 2022 ] Eval epoch: 74
+[ Wed Aug 24 18:16:37 2022 ] 	Mean test loss of 312 batches: 2.062426.
+[ Wed Aug 24 18:16:37 2022 ] 	Top1: 55.01%
+[ Wed Aug 24 18:16:37 2022 ] 	Top5: 88.73%
+[ Wed Aug 24 18:16:37 2022 ] Training epoch: 75
+[ Wed Aug 24 18:17:33 2022 ] 	Training loss: 1.2442.  Training acc: 84.03%.
+[ Wed Aug 24 18:17:33 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:17:33 2022 ] Eval epoch: 75
+[ Wed Aug 24 18:18:21 2022 ] 	Mean test loss of 312 batches: 2.216384.
+[ Wed Aug 24 18:18:21 2022 ] 	Top1: 52.45%
+[ Wed Aug 24 18:18:21 2022 ] 	Top5: 86.50%
+[ Wed Aug 24 18:18:21 2022 ] Training epoch: 76
+[ Wed Aug 24 18:19:02 2022 ] 	Training loss: 1.2375.  Training acc: 84.17%.
+[ Wed Aug 24 18:19:02 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:19:02 2022 ] Eval epoch: 76
+[ Wed Aug 24 18:19:50 2022 ] 	Mean test loss of 312 batches: 2.070054.
+[ Wed Aug 24 18:19:50 2022 ] 	Top1: 55.68%
+[ Wed Aug 24 18:19:51 2022 ] 	Top5: 86.62%
+[ Wed Aug 24 18:19:51 2022 ] Training epoch: 77
+[ Wed Aug 24 18:20:34 2022 ] 	Training loss: 1.2236.  Training acc: 84.64%.
+[ Wed Aug 24 18:20:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:20:34 2022 ] Eval epoch: 77
+[ Wed Aug 24 18:21:17 2022 ] 	Mean test loss of 312 batches: 2.160505.
+[ Wed Aug 24 18:21:18 2022 ] 	Top1: 53.08%
+[ Wed Aug 24 18:21:18 2022 ] 	Top5: 86.22%
+[ Wed Aug 24 18:21:18 2022 ] Training epoch: 78
+[ Wed Aug 24 18:22:04 2022 ] 	Training loss: 1.2137.  Training acc: 85.71%.
+[ Wed Aug 24 18:22:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:22:04 2022 ] Eval epoch: 78
+[ Wed Aug 24 18:22:57 2022 ] 	Mean test loss of 312 batches: 2.083432.
+[ Wed Aug 24 18:22:57 2022 ] 	Top1: 54.51%
+[ Wed Aug 24 18:22:57 2022 ] 	Top5: 87.75%
+[ Wed Aug 24 18:22:58 2022 ] Training epoch: 79
+[ Wed Aug 24 18:23:50 2022 ] 	Training loss: 1.2082.  Training acc: 85.76%.
+[ Wed Aug 24 18:23:50 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:23:50 2022 ] Eval epoch: 79
+[ Wed Aug 24 18:24:27 2022 ] 	Mean test loss of 312 batches: 1.943654.
+[ Wed Aug 24 18:24:27 2022 ] 	Top1: 58.98%
+[ Wed Aug 24 18:24:27 2022 ] 	Top5: 89.62%
+[ Wed Aug 24 18:24:28 2022 ] Training epoch: 80
+[ Wed Aug 24 18:25:15 2022 ] 	Training loss: 1.2186.  Training acc: 85.14%.
+[ Wed Aug 24 18:25:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:25:15 2022 ] Eval epoch: 80
+[ Wed Aug 24 18:26:20 2022 ] 	Mean test loss of 312 batches: 2.186441.
+[ Wed Aug 24 18:26:20 2022 ] 	Top1: 53.68%
+[ Wed Aug 24 18:26:20 2022 ] 	Top5: 87.38%
+[ Wed Aug 24 18:26:20 2022 ] Training epoch: 81
+[ Wed Aug 24 18:27:04 2022 ] 	Training loss: 1.2161.  Training acc: 85.32%.
+[ Wed Aug 24 18:27:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:27:04 2022 ] Eval epoch: 81
+[ Wed Aug 24 18:27:58 2022 ] 	Mean test loss of 312 batches: 2.514068.
+[ Wed Aug 24 18:27:58 2022 ] 	Top1: 44.43%
+[ Wed Aug 24 18:27:58 2022 ] 	Top5: 79.13%
+[ Wed Aug 24 18:27:58 2022 ] Training epoch: 82
+[ Wed Aug 24 18:28:46 2022 ] 	Training loss: 1.1955.  Training acc: 85.76%.
+[ Wed Aug 24 18:28:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:28:46 2022 ] Eval epoch: 82
+[ Wed Aug 24 18:29:22 2022 ] 	Mean test loss of 312 batches: 2.126192.
+[ Wed Aug 24 18:29:22 2022 ] 	Top1: 54.72%
+[ Wed Aug 24 18:29:22 2022 ] 	Top5: 87.53%
+[ Wed Aug 24 18:29:23 2022 ] Training epoch: 83
+[ Wed Aug 24 18:30:06 2022 ] 	Training loss: 1.1848.  Training acc: 86.63%.
+[ Wed Aug 24 18:30:06 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:30:06 2022 ] Eval epoch: 83
+[ Wed Aug 24 18:30:54 2022 ] 	Mean test loss of 312 batches: 2.269877.
+[ Wed Aug 24 18:30:54 2022 ] 	Top1: 50.53%
+[ Wed Aug 24 18:30:55 2022 ] 	Top5: 85.18%
+[ Wed Aug 24 18:30:55 2022 ] Training epoch: 84
+[ Wed Aug 24 18:31:48 2022 ] 	Training loss: 1.1799.  Training acc: 86.49%.
+[ Wed Aug 24 18:31:48 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:31:48 2022 ] Eval epoch: 84
+[ Wed Aug 24 18:32:35 2022 ] 	Mean test loss of 312 batches: 2.042291.
+[ Wed Aug 24 18:32:35 2022 ] 	Top1: 55.88%
+[ Wed Aug 24 18:32:35 2022 ] 	Top5: 88.17%
+[ Wed Aug 24 18:32:35 2022 ] Training epoch: 85
+[ Wed Aug 24 18:33:19 2022 ] 	Training loss: 1.1730.  Training acc: 86.89%.
+[ Wed Aug 24 18:33:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:33:19 2022 ] Eval epoch: 85
+[ Wed Aug 24 18:34:25 2022 ] 	Mean test loss of 312 batches: 2.226864.
+[ Wed Aug 24 18:34:26 2022 ] 	Top1: 53.29%
+[ Wed Aug 24 18:34:26 2022 ] 	Top5: 86.25%
+[ Wed Aug 24 18:34:26 2022 ] Training epoch: 86
+[ Wed Aug 24 18:35:13 2022 ] 	Training loss: 1.1653.  Training acc: 86.95%.
+[ Wed Aug 24 18:35:13 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:35:13 2022 ] Eval epoch: 86
+[ Wed Aug 24 18:35:58 2022 ] 	Mean test loss of 312 batches: 2.159517.
+[ Wed Aug 24 18:35:58 2022 ] 	Top1: 53.62%
+[ Wed Aug 24 18:35:58 2022 ] 	Top5: 87.36%
+[ Wed Aug 24 18:35:59 2022 ] Training epoch: 87
+[ Wed Aug 24 18:36:49 2022 ] 	Training loss: 1.1668.  Training acc: 87.08%.
+[ Wed Aug 24 18:36:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Wed Aug 24 18:36:49 2022 ] Eval epoch: 87
+[ Wed Aug 24 18:37:31 2022 ] 	Mean test loss of 312 batches: 2.025154.
+[ Wed Aug 24 18:37:31 2022 ] 	Top1: 58.82%
+[ Wed Aug 24 18:37:31 2022 ] 	Top5: 90.41%
+[ Wed Aug 24 18:37:31 2022 ] Training epoch: 88
+[ Wed Aug 24 18:38:13 2022 ] 	Training loss: 1.1448.  Training acc: 88.01%.
+[ Wed Aug 24 18:38:13 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:38:13 2022 ] Eval epoch: 88
+[ Wed Aug 24 18:38:57 2022 ] 	Mean test loss of 312 batches: 1.975168.
+[ Wed Aug 24 18:38:57 2022 ] 	Top1: 61.09%
+[ Wed Aug 24 18:38:57 2022 ] 	Top5: 90.87%
+[ Wed Aug 24 18:38:57 2022 ] Training epoch: 89
+[ Wed Aug 24 18:39:45 2022 ] 	Training loss: 1.1550.  Training acc: 87.51%.
+[ Wed Aug 24 18:39:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:39:45 2022 ] Eval epoch: 89
+[ Wed Aug 24 18:40:37 2022 ] 	Mean test loss of 312 batches: 2.172752.
+[ Wed Aug 24 18:40:38 2022 ] 	Top1: 53.89%
+[ Wed Aug 24 18:40:38 2022 ] 	Top5: 84.31%
+[ Wed Aug 24 18:40:38 2022 ] Training epoch: 90
+[ Wed Aug 24 18:41:24 2022 ] 	Training loss: 1.1408.  Training acc: 87.87%.
+[ Wed Aug 24 18:41:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:41:24 2022 ] Eval epoch: 90
+[ Wed Aug 24 18:42:12 2022 ] 	Mean test loss of 312 batches: 1.989899.
+[ Wed Aug 24 18:42:13 2022 ] 	Top1: 59.23%
+[ Wed Aug 24 18:42:13 2022 ] 	Top5: 91.12%
+[ Wed Aug 24 18:42:13 2022 ] Training epoch: 91
+[ Wed Aug 24 18:43:06 2022 ] 	Training loss: 1.0271.  Training acc: 93.02%.
+[ Wed Aug 24 18:43:06 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:43:06 2022 ] Eval epoch: 91
+[ Wed Aug 24 18:43:45 2022 ] 	Mean test loss of 312 batches: 1.747068.
+[ Wed Aug 24 18:43:45 2022 ] 	Top1: 66.61%
+[ Wed Aug 24 18:43:45 2022 ] 	Top5: 93.25%
+[ Wed Aug 24 18:43:46 2022 ] Training epoch: 92
+[ Wed Aug 24 18:44:35 2022 ] 	Training loss: 0.9703.  Training acc: 95.02%.
+[ Wed Aug 24 18:44:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:44:35 2022 ] Eval epoch: 92
+[ Wed Aug 24 18:45:36 2022 ] 	Mean test loss of 312 batches: 1.714644.
+[ Wed Aug 24 18:45:36 2022 ] 	Top1: 67.78%
+[ Wed Aug 24 18:45:36 2022 ] 	Top5: 93.68%
+[ Wed Aug 24 18:45:36 2022 ] Training epoch: 93
+[ Wed Aug 24 18:46:19 2022 ] 	Training loss: 0.9469.  Training acc: 96.09%.
+[ Wed Aug 24 18:46:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:46:19 2022 ] Eval epoch: 93
+[ Wed Aug 24 18:47:02 2022 ] 	Mean test loss of 312 batches: 1.714915.
+[ Wed Aug 24 18:47:02 2022 ] 	Top1: 67.97%
+[ Wed Aug 24 18:47:02 2022 ] 	Top5: 93.55%
+[ Wed Aug 24 18:47:02 2022 ] Training epoch: 94
+[ Wed Aug 24 18:47:50 2022 ] 	Training loss: 0.9395.  Training acc: 96.31%.
+[ Wed Aug 24 18:47:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:47:50 2022 ] Eval epoch: 94
+[ Wed Aug 24 18:48:24 2022 ] 	Mean test loss of 312 batches: 1.711851.
+[ Wed Aug 24 18:48:24 2022 ] 	Top1: 68.42%
+[ Wed Aug 24 18:48:24 2022 ] 	Top5: 93.62%
+[ Wed Aug 24 18:48:24 2022 ] Training epoch: 95
+[ Wed Aug 24 18:49:14 2022 ] 	Training loss: 0.9313.  Training acc: 96.64%.
+[ Wed Aug 24 18:49:14 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:49:14 2022 ] Eval epoch: 95
+[ Wed Aug 24 18:49:58 2022 ] 	Mean test loss of 312 batches: 1.745844.
+[ Wed Aug 24 18:49:58 2022 ] 	Top1: 67.03%
+[ Wed Aug 24 18:49:58 2022 ] 	Top5: 92.99%
+[ Wed Aug 24 18:49:58 2022 ] Training epoch: 96
+[ Wed Aug 24 18:50:52 2022 ] 	Training loss: 0.9219.  Training acc: 96.68%.
+[ Wed Aug 24 18:50:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:50:52 2022 ] Eval epoch: 96
+[ Wed Aug 24 18:51:33 2022 ] 	Mean test loss of 312 batches: 1.699069.
+[ Wed Aug 24 18:51:33 2022 ] 	Top1: 68.64%
+[ Wed Aug 24 18:51:34 2022 ] 	Top5: 93.64%
+[ Wed Aug 24 18:51:34 2022 ] Training epoch: 97
+[ Wed Aug 24 18:52:21 2022 ] 	Training loss: 0.9132.  Training acc: 97.13%.
+[ Wed Aug 24 18:52:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:52:21 2022 ] Eval epoch: 97
+[ Wed Aug 24 18:53:17 2022 ] 	Mean test loss of 312 batches: 1.717002.
+[ Wed Aug 24 18:53:17 2022 ] 	Top1: 67.92%
+[ Wed Aug 24 18:53:17 2022 ] 	Top5: 93.20%
+[ Wed Aug 24 18:53:17 2022 ] Training epoch: 98
+[ Wed Aug 24 18:54:09 2022 ] 	Training loss: 0.9029.  Training acc: 97.45%.
+[ Wed Aug 24 18:54:09 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:54:09 2022 ] Eval epoch: 98
+[ Wed Aug 24 18:54:42 2022 ] 	Mean test loss of 312 batches: 1.704704.
+[ Wed Aug 24 18:54:42 2022 ] 	Top1: 68.12%
+[ Wed Aug 24 18:54:42 2022 ] 	Top5: 93.67%
+[ Wed Aug 24 18:54:42 2022 ] Training epoch: 99
+[ Wed Aug 24 18:55:31 2022 ] 	Training loss: 0.9005.  Training acc: 97.53%.
+[ Wed Aug 24 18:55:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:55:31 2022 ] Eval epoch: 99
+[ Wed Aug 24 18:56:14 2022 ] 	Mean test loss of 312 batches: 1.706872.
+[ Wed Aug 24 18:56:14 2022 ] 	Top1: 68.34%
+[ Wed Aug 24 18:56:14 2022 ] 	Top5: 93.58%
+[ Wed Aug 24 18:56:14 2022 ] Training epoch: 100
+[ Wed Aug 24 18:56:56 2022 ] 	Training loss: 0.8969.  Training acc: 97.84%.
+[ Wed Aug 24 18:56:56 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:56:56 2022 ] Eval epoch: 100
+[ Wed Aug 24 18:57:33 2022 ] 	Mean test loss of 312 batches: 1.731131.
+[ Wed Aug 24 18:57:34 2022 ] 	Top1: 67.41%
+[ Wed Aug 24 18:57:34 2022 ] 	Top5: 93.11%
+[ Wed Aug 24 18:57:34 2022 ] Training epoch: 101
+[ Wed Aug 24 18:58:24 2022 ] 	Training loss: 0.8887.  Training acc: 98.12%.
+[ Wed Aug 24 18:58:24 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:58:24 2022 ] Eval epoch: 101
+[ Wed Aug 24 18:59:11 2022 ] 	Mean test loss of 312 batches: 1.713557.
+[ Wed Aug 24 18:59:11 2022 ] 	Top1: 68.21%
+[ Wed Aug 24 18:59:11 2022 ] 	Top5: 93.39%
+[ Wed Aug 24 18:59:11 2022 ] Training epoch: 102
+[ Wed Aug 24 19:00:02 2022 ] 	Training loss: 0.8871.  Training acc: 97.99%.
+[ Wed Aug 24 19:00:02 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:00:02 2022 ] Eval epoch: 102
+[ Wed Aug 24 19:00:38 2022 ] 	Mean test loss of 312 batches: 1.712457.
+[ Wed Aug 24 19:00:38 2022 ] 	Top1: 68.17%
+[ Wed Aug 24 19:00:38 2022 ] 	Top5: 93.34%
+[ Wed Aug 24 19:00:39 2022 ] Training epoch: 103
+[ Wed Aug 24 19:01:32 2022 ] 	Training loss: 0.8882.  Training acc: 97.95%.
+[ Wed Aug 24 19:01:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:01:32 2022 ] Eval epoch: 103
+[ Wed Aug 24 19:02:23 2022 ] 	Mean test loss of 312 batches: 1.711780.
+[ Wed Aug 24 19:02:23 2022 ] 	Top1: 68.40%
+[ Wed Aug 24 19:02:24 2022 ] 	Top5: 93.30%
+[ Wed Aug 24 19:02:24 2022 ] Training epoch: 104
+[ Wed Aug 24 19:03:05 2022 ] 	Training loss: 0.8804.  Training acc: 98.32%.
+[ Wed Aug 24 19:03:05 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:03:05 2022 ] Eval epoch: 104
+[ Wed Aug 24 19:03:58 2022 ] 	Mean test loss of 312 batches: 1.710487.
+[ Wed Aug 24 19:03:58 2022 ] 	Top1: 68.30%
+[ Wed Aug 24 19:03:58 2022 ] 	Top5: 93.39%
+[ Wed Aug 24 19:03:58 2022 ] Training epoch: 105
+[ Wed Aug 24 19:04:50 2022 ] 	Training loss: 0.8849.  Training acc: 98.19%.
+[ Wed Aug 24 19:04:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:04:50 2022 ] Eval epoch: 105
+[ Wed Aug 24 19:05:22 2022 ] 	Mean test loss of 312 batches: 1.716472.
+[ Wed Aug 24 19:05:22 2022 ] 	Top1: 68.17%
+[ Wed Aug 24 19:05:22 2022 ] 	Top5: 93.37%
+[ Wed Aug 24 19:05:22 2022 ] Training epoch: 106
+[ Wed Aug 24 19:06:04 2022 ] 	Training loss: 0.8859.  Training acc: 97.96%.
+[ Wed Aug 24 19:06:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:06:04 2022 ] Eval epoch: 106
+[ Wed Aug 24 19:06:46 2022 ] 	Mean test loss of 312 batches: 1.711153.
+[ Wed Aug 24 19:06:46 2022 ] 	Top1: 68.43%
+[ Wed Aug 24 19:06:47 2022 ] 	Top5: 93.39%
+[ Wed Aug 24 19:06:47 2022 ] Training epoch: 107
+[ Wed Aug 24 19:07:29 2022 ] 	Training loss: 0.8823.  Training acc: 98.18%.
+[ Wed Aug 24 19:07:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:07:29 2022 ] Eval epoch: 107
+[ Wed Aug 24 19:08:14 2022 ] 	Mean test loss of 312 batches: 1.709511.
+[ Wed Aug 24 19:08:15 2022 ] 	Top1: 68.53%
+[ Wed Aug 24 19:08:15 2022 ] 	Top5: 93.52%
+[ Wed Aug 24 19:08:15 2022 ] Training epoch: 108
+[ Wed Aug 24 19:09:03 2022 ] 	Training loss: 0.8804.  Training acc: 98.49%.
+[ Wed Aug 24 19:09:03 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:09:03 2022 ] Eval epoch: 108
+[ Wed Aug 24 19:10:01 2022 ] 	Mean test loss of 312 batches: 1.710248.
+[ Wed Aug 24 19:10:01 2022 ] 	Top1: 68.48%
+[ Wed Aug 24 19:10:01 2022 ] 	Top5: 93.47%
+[ Wed Aug 24 19:10:01 2022 ] Training epoch: 109
+[ Wed Aug 24 19:10:48 2022 ] 	Training loss: 0.8828.  Training acc: 98.30%.
+[ Wed Aug 24 19:10:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:10:48 2022 ] Eval epoch: 109
+[ Wed Aug 24 19:11:27 2022 ] 	Mean test loss of 312 batches: 1.717192.
+[ Wed Aug 24 19:11:27 2022 ] 	Top1: 68.18%
+[ Wed Aug 24 19:11:27 2022 ] 	Top5: 93.31%
+[ Wed Aug 24 19:11:27 2022 ] Training epoch: 110
+[ Wed Aug 24 19:12:19 2022 ] 	Training loss: 0.8821.  Training acc: 98.31%.
+[ Wed Aug 24 19:12:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:12:19 2022 ] Eval epoch: 110
+[ Wed Aug 24 19:13:16 2022 ] 	Mean test loss of 312 batches: 1.708935.
+[ Wed Aug 24 19:13:16 2022 ] 	Top1: 68.50%
+[ Wed Aug 24 19:13:16 2022 ] 	Top5: 93.42%

ckpt/Others/InfoGCN/ntu_60_xview_LT/bm/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:772bc1f7e52095d0d67761e48aba8782e32aa276aa8eebc039d013b74eea5550
+size 5347532

ckpt/Others/InfoGCN/ntu_60_xview_LT/bm/log.txt

@@ -0,0 +1,775 @@
+[ Wed Aug 24 16:19:15 2022 ] using warm up, epoch: 5
+[ Wed Aug 24 16:19:28 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 60, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu/NTU60_CV_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': True, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_60_xview_LT/bm', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 1, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 128, 'test_batch_size': 128, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Wed Aug 24 16:19:28 2022 ] # Parameters: 1556807
+[ Wed Aug 24 16:19:28 2022 ] Training epoch: 1
+[ Wed Aug 24 16:20:03 2022 ] 	Training loss: 6.9739.  Training acc: 6.75%.
+[ Wed Aug 24 16:20:03 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:20:03 2022 ] Eval epoch: 1
+[ Wed Aug 24 16:20:25 2022 ] 	Mean test loss of 312 batches: 5.754363.
+[ Wed Aug 24 16:20:26 2022 ] 	Top1: 2.17%
+[ Wed Aug 24 16:20:26 2022 ] 	Top5: 8.34%
+[ Wed Aug 24 16:20:26 2022 ] Training epoch: 2
+[ Wed Aug 24 16:21:00 2022 ] 	Training loss: 4.0842.  Training acc: 10.58%.
+[ Wed Aug 24 16:21:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:21:00 2022 ] Eval epoch: 2
+[ Wed Aug 24 16:21:23 2022 ] 	Mean test loss of 312 batches: 10.632765.
+[ Wed Aug 24 16:21:23 2022 ] 	Top1: 2.18%
+[ Wed Aug 24 16:21:23 2022 ] 	Top5: 9.68%
+[ Wed Aug 24 16:21:23 2022 ] Training epoch: 3
+[ Wed Aug 24 16:21:58 2022 ] 	Training loss: 3.4220.  Training acc: 14.51%.
+[ Wed Aug 24 16:21:58 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:21:58 2022 ] Eval epoch: 3
+[ Wed Aug 24 16:22:21 2022 ] 	Mean test loss of 312 batches: 14.884998.
+[ Wed Aug 24 16:22:21 2022 ] 	Top1: 2.81%
+[ Wed Aug 24 16:22:21 2022 ] 	Top5: 10.02%
+[ Wed Aug 24 16:22:22 2022 ] Training epoch: 4
+[ Wed Aug 24 16:23:01 2022 ] 	Training loss: 3.1104.  Training acc: 20.71%.
+[ Wed Aug 24 16:23:01 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:23:01 2022 ] Eval epoch: 4
+[ Wed Aug 24 16:23:26 2022 ] 	Mean test loss of 312 batches: 35.590878.
+[ Wed Aug 24 16:23:26 2022 ] 	Top1: 2.78%
+[ Wed Aug 24 16:23:26 2022 ] 	Top5: 9.73%
+[ Wed Aug 24 16:23:26 2022 ] Training epoch: 5
+[ Wed Aug 24 16:24:03 2022 ] 	Training loss: 2.9786.  Training acc: 25.06%.
+[ Wed Aug 24 16:24:03 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:24:03 2022 ] Eval epoch: 5
+[ Wed Aug 24 16:24:30 2022 ] 	Mean test loss of 312 batches: 14.345738.
+[ Wed Aug 24 16:24:30 2022 ] 	Top1: 2.78%
+[ Wed Aug 24 16:24:30 2022 ] 	Top5: 9.96%
+[ Wed Aug 24 16:24:30 2022 ] Training epoch: 6
+[ Wed Aug 24 16:25:06 2022 ] 	Training loss: 2.7495.  Training acc: 31.86%.
+[ Wed Aug 24 16:25:06 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:25:06 2022 ] Eval epoch: 6
+[ Wed Aug 24 16:25:35 2022 ] 	Mean test loss of 312 batches: 23.195223.
+[ Wed Aug 24 16:25:35 2022 ] 	Top1: 2.14%
+[ Wed Aug 24 16:25:36 2022 ] 	Top5: 11.84%
+[ Wed Aug 24 16:25:36 2022 ] Training epoch: 7
+[ Wed Aug 24 16:26:15 2022 ] 	Training loss: 2.5395.  Training acc: 39.25%.
+[ Wed Aug 24 16:26:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:26:15 2022 ] Eval epoch: 7
+[ Wed Aug 24 16:26:48 2022 ] 	Mean test loss of 312 batches: 18.392665.
+[ Wed Aug 24 16:26:48 2022 ] 	Top1: 4.98%
+[ Wed Aug 24 16:26:48 2022 ] 	Top5: 11.43%
+[ Wed Aug 24 16:26:48 2022 ] Training epoch: 8
+[ Wed Aug 24 16:27:25 2022 ] 	Training loss: 2.4204.  Training acc: 43.49%.
+[ Wed Aug 24 16:27:25 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:27:25 2022 ] Eval epoch: 8
+[ Wed Aug 24 16:27:58 2022 ] 	Mean test loss of 312 batches: 24.363210.
+[ Wed Aug 24 16:27:58 2022 ] 	Top1: 1.66%
+[ Wed Aug 24 16:27:58 2022 ] 	Top5: 12.85%
+[ Wed Aug 24 16:27:58 2022 ] Training epoch: 9
+[ Wed Aug 24 16:28:39 2022 ] 	Training loss: 2.3450.  Training acc: 45.65%.
+[ Wed Aug 24 16:28:39 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:28:39 2022 ] Eval epoch: 9
+[ Wed Aug 24 16:29:09 2022 ] 	Mean test loss of 312 batches: 12.558231.
+[ Wed Aug 24 16:29:09 2022 ] 	Top1: 2.55%
+[ Wed Aug 24 16:29:10 2022 ] 	Top5: 14.64%
+[ Wed Aug 24 16:29:10 2022 ] Training epoch: 10
+[ Wed Aug 24 16:30:04 2022 ] 	Training loss: 2.2724.  Training acc: 47.98%.
+[ Wed Aug 24 16:30:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:30:04 2022 ] Eval epoch: 10
+[ Wed Aug 24 16:30:47 2022 ] 	Mean test loss of 312 batches: 14.888441.
+[ Wed Aug 24 16:30:47 2022 ] 	Top1: 4.12%
+[ Wed Aug 24 16:30:47 2022 ] 	Top5: 11.30%
+[ Wed Aug 24 16:30:47 2022 ] Training epoch: 11
+[ Wed Aug 24 16:31:32 2022 ] 	Training loss: 2.2342.  Training acc: 49.26%.
+[ Wed Aug 24 16:31:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:31:32 2022 ] Eval epoch: 11
+[ Wed Aug 24 16:32:13 2022 ] 	Mean test loss of 312 batches: 9.409430.
+[ Wed Aug 24 16:32:13 2022 ] 	Top1: 4.61%
+[ Wed Aug 24 16:32:13 2022 ] 	Top5: 14.99%
+[ Wed Aug 24 16:32:14 2022 ] Training epoch: 12
+[ Wed Aug 24 16:33:06 2022 ] 	Training loss: 2.1793.  Training acc: 52.07%.
+[ Wed Aug 24 16:33:06 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:33:06 2022 ] Eval epoch: 12
+[ Wed Aug 24 16:34:06 2022 ] 	Mean test loss of 312 batches: 14.503555.
+[ Wed Aug 24 16:34:06 2022 ] 	Top1: 3.28%
+[ Wed Aug 24 16:34:06 2022 ] 	Top5: 14.07%
+[ Wed Aug 24 16:34:06 2022 ] Training epoch: 13
+[ Wed Aug 24 16:34:52 2022 ] 	Training loss: 2.1194.  Training acc: 53.16%.
+[ Wed Aug 24 16:34:52 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:34:52 2022 ] Eval epoch: 13
+[ Wed Aug 24 16:35:54 2022 ] 	Mean test loss of 312 batches: 9.418418.
+[ Wed Aug 24 16:35:54 2022 ] 	Top1: 4.37%
+[ Wed Aug 24 16:35:54 2022 ] 	Top5: 12.46%
+[ Wed Aug 24 16:35:54 2022 ] Training epoch: 14
+[ Wed Aug 24 16:36:49 2022 ] 	Training loss: 2.0815.  Training acc: 54.92%.
+[ Wed Aug 24 16:36:49 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:36:49 2022 ] Eval epoch: 14
+[ Wed Aug 24 16:37:26 2022 ] 	Mean test loss of 312 batches: 16.187103.
+[ Wed Aug 24 16:37:26 2022 ] 	Top1: 1.76%
+[ Wed Aug 24 16:37:26 2022 ] 	Top5: 12.49%
+[ Wed Aug 24 16:37:27 2022 ] Training epoch: 15
+[ Wed Aug 24 16:38:18 2022 ] 	Training loss: 2.0898.  Training acc: 54.80%.
+[ Wed Aug 24 16:38:18 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:38:18 2022 ] Eval epoch: 15
+[ Wed Aug 24 16:39:20 2022 ] 	Mean test loss of 312 batches: 6.202170.
+[ Wed Aug 24 16:39:20 2022 ] 	Top1: 8.68%
+[ Wed Aug 24 16:39:20 2022 ] 	Top5: 18.14%
+[ Wed Aug 24 16:39:20 2022 ] Training epoch: 16
+[ Wed Aug 24 16:40:06 2022 ] 	Training loss: 2.0009.  Training acc: 57.38%.
+[ Wed Aug 24 16:40:06 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:40:06 2022 ] Eval epoch: 16
+[ Wed Aug 24 16:40:58 2022 ] 	Mean test loss of 312 batches: 6.980733.
+[ Wed Aug 24 16:40:59 2022 ] 	Top1: 6.16%
+[ Wed Aug 24 16:40:59 2022 ] 	Top5: 20.80%
+[ Wed Aug 24 16:40:59 2022 ] Training epoch: 17
+[ Wed Aug 24 16:41:48 2022 ] 	Training loss: 1.9578.  Training acc: 59.35%.
+[ Wed Aug 24 16:41:48 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:41:48 2022 ] Eval epoch: 17
+[ Wed Aug 24 16:42:51 2022 ] 	Mean test loss of 312 batches: 10.524378.
+[ Wed Aug 24 16:42:51 2022 ] 	Top1: 3.22%
+[ Wed Aug 24 16:42:51 2022 ] 	Top5: 16.27%
+[ Wed Aug 24 16:42:51 2022 ] Training epoch: 18
+[ Wed Aug 24 16:43:35 2022 ] 	Training loss: 1.9144.  Training acc: 60.09%.
+[ Wed Aug 24 16:43:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:43:35 2022 ] Eval epoch: 18
+[ Wed Aug 24 16:44:44 2022 ] 	Mean test loss of 312 batches: 8.216859.
+[ Wed Aug 24 16:44:44 2022 ] 	Top1: 5.37%
+[ Wed Aug 24 16:44:44 2022 ] 	Top5: 16.22%
+[ Wed Aug 24 16:44:44 2022 ] Training epoch: 19
+[ Wed Aug 24 16:45:32 2022 ] 	Training loss: 1.8997.  Training acc: 60.76%.
+[ Wed Aug 24 16:45:32 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:45:32 2022 ] Eval epoch: 19
+[ Wed Aug 24 16:46:15 2022 ] 	Mean test loss of 312 batches: 6.672512.
+[ Wed Aug 24 16:46:15 2022 ] 	Top1: 7.99%
+[ Wed Aug 24 16:46:15 2022 ] 	Top5: 24.30%
+[ Wed Aug 24 16:46:15 2022 ] Training epoch: 20
+[ Wed Aug 24 16:47:01 2022 ] 	Training loss: 1.8684.  Training acc: 61.90%.
+[ Wed Aug 24 16:47:01 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:47:01 2022 ] Eval epoch: 20
+[ Wed Aug 24 16:48:01 2022 ] 	Mean test loss of 312 batches: 10.536623.
+[ Wed Aug 24 16:48:01 2022 ] 	Top1: 3.71%
+[ Wed Aug 24 16:48:01 2022 ] 	Top5: 16.02%
+[ Wed Aug 24 16:48:02 2022 ] Training epoch: 21
+[ Wed Aug 24 16:48:51 2022 ] 	Training loss: 1.8484.  Training acc: 62.81%.
+[ Wed Aug 24 16:48:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:48:51 2022 ] Eval epoch: 21
+[ Wed Aug 24 16:49:50 2022 ] 	Mean test loss of 312 batches: 7.421110.
+[ Wed Aug 24 16:49:50 2022 ] 	Top1: 6.99%
+[ Wed Aug 24 16:49:50 2022 ] 	Top5: 22.24%
+[ Wed Aug 24 16:49:50 2022 ] Training epoch: 22
+[ Wed Aug 24 16:50:43 2022 ] 	Training loss: 1.8087.  Training acc: 64.06%.
+[ Wed Aug 24 16:50:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:50:43 2022 ] Eval epoch: 22
+[ Wed Aug 24 16:51:48 2022 ] 	Mean test loss of 312 batches: 11.841684.
+[ Wed Aug 24 16:51:48 2022 ] 	Top1: 2.67%
+[ Wed Aug 24 16:51:48 2022 ] 	Top5: 15.35%
+[ Wed Aug 24 16:51:48 2022 ] Training epoch: 23
+[ Wed Aug 24 16:52:29 2022 ] 	Training loss: 1.7996.  Training acc: 64.02%.
+[ Wed Aug 24 16:52:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:52:29 2022 ] Eval epoch: 23
+[ Wed Aug 24 16:53:44 2022 ] 	Mean test loss of 312 batches: 5.001758.
+[ Wed Aug 24 16:53:44 2022 ] 	Top1: 11.76%
+[ Wed Aug 24 16:53:45 2022 ] 	Top5: 29.95%
+[ Wed Aug 24 16:53:45 2022 ] Training epoch: 24
+[ Wed Aug 24 16:54:30 2022 ] 	Training loss: 1.7943.  Training acc: 64.33%.
+[ Wed Aug 24 16:54:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:54:30 2022 ] Eval epoch: 24
+[ Wed Aug 24 16:55:27 2022 ] 	Mean test loss of 312 batches: 9.269538.
+[ Wed Aug 24 16:55:28 2022 ] 	Top1: 2.37%
+[ Wed Aug 24 16:55:28 2022 ] 	Top5: 15.27%
+[ Wed Aug 24 16:55:28 2022 ] Training epoch: 25
+[ Wed Aug 24 16:56:15 2022 ] 	Training loss: 1.7364.  Training acc: 66.48%.
+[ Wed Aug 24 16:56:15 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:56:15 2022 ] Eval epoch: 25
+[ Wed Aug 24 16:57:16 2022 ] 	Mean test loss of 312 batches: 5.584770.
+[ Wed Aug 24 16:57:16 2022 ] 	Top1: 8.42%
+[ Wed Aug 24 16:57:17 2022 ] 	Top5: 24.22%
+[ Wed Aug 24 16:57:17 2022 ] Training epoch: 26
+[ Wed Aug 24 16:58:05 2022 ] 	Training loss: 1.7319.  Training acc: 66.16%.
+[ Wed Aug 24 16:58:05 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:58:05 2022 ] Eval epoch: 26
+[ Wed Aug 24 16:59:18 2022 ] 	Mean test loss of 312 batches: 9.160045.
+[ Wed Aug 24 16:59:18 2022 ] 	Top1: 3.49%
+[ Wed Aug 24 16:59:18 2022 ] 	Top5: 17.11%
+[ Wed Aug 24 16:59:18 2022 ] Training epoch: 27
+[ Wed Aug 24 17:00:09 2022 ] 	Training loss: 1.7078.  Training acc: 67.24%.
+[ Wed Aug 24 17:00:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:00:09 2022 ] Eval epoch: 27
+[ Wed Aug 24 17:01:15 2022 ] 	Mean test loss of 312 batches: 9.236977.
+[ Wed Aug 24 17:01:15 2022 ] 	Top1: 3.62%
+[ Wed Aug 24 17:01:15 2022 ] 	Top5: 18.01%
+[ Wed Aug 24 17:01:15 2022 ] Training epoch: 28
+[ Wed Aug 24 17:01:59 2022 ] 	Training loss: 1.6809.  Training acc: 67.94%.
+[ Wed Aug 24 17:01:59 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:01:59 2022 ] Eval epoch: 28
+[ Wed Aug 24 17:03:16 2022 ] 	Mean test loss of 312 batches: 7.386941.
+[ Wed Aug 24 17:03:16 2022 ] 	Top1: 5.50%
+[ Wed Aug 24 17:03:16 2022 ] 	Top5: 26.36%
+[ Wed Aug 24 17:03:16 2022 ] Training epoch: 29
+[ Wed Aug 24 17:03:55 2022 ] 	Training loss: 1.6616.  Training acc: 68.43%.
+[ Wed Aug 24 17:03:55 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:03:55 2022 ] Eval epoch: 29
+[ Wed Aug 24 17:05:09 2022 ] 	Mean test loss of 312 batches: 5.287732.
+[ Wed Aug 24 17:05:09 2022 ] 	Top1: 8.44%
+[ Wed Aug 24 17:05:09 2022 ] 	Top5: 26.17%
+[ Wed Aug 24 17:05:09 2022 ] Training epoch: 30
+[ Wed Aug 24 17:05:53 2022 ] 	Training loss: 1.6395.  Training acc: 69.44%.
+[ Wed Aug 24 17:05:53 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:05:53 2022 ] Eval epoch: 30
+[ Wed Aug 24 17:06:44 2022 ] 	Mean test loss of 312 batches: 3.599490.
+[ Wed Aug 24 17:06:45 2022 ] 	Top1: 23.87%
+[ Wed Aug 24 17:06:45 2022 ] 	Top5: 48.75%
+[ Wed Aug 24 17:06:45 2022 ] Training epoch: 31
+[ Wed Aug 24 17:07:34 2022 ] 	Training loss: 1.6259.  Training acc: 70.12%.
+[ Wed Aug 24 17:07:34 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:07:34 2022 ] Eval epoch: 31
+[ Wed Aug 24 17:08:37 2022 ] 	Mean test loss of 312 batches: 5.313351.
+[ Wed Aug 24 17:08:37 2022 ] 	Top1: 9.70%
+[ Wed Aug 24 17:08:37 2022 ] 	Top5: 27.15%
+[ Wed Aug 24 17:08:37 2022 ] Training epoch: 32
+[ Wed Aug 24 17:09:27 2022 ] 	Training loss: 1.5948.  Training acc: 71.09%.
+[ Wed Aug 24 17:09:27 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:09:27 2022 ] Eval epoch: 32
+[ Wed Aug 24 17:10:24 2022 ] 	Mean test loss of 312 batches: 3.325375.
+[ Wed Aug 24 17:10:24 2022 ] 	Top1: 24.46%
+[ Wed Aug 24 17:10:24 2022 ] 	Top5: 49.51%
+[ Wed Aug 24 17:10:24 2022 ] Training epoch: 33
+[ Wed Aug 24 17:11:17 2022 ] 	Training loss: 1.5667.  Training acc: 72.23%.
+[ Wed Aug 24 17:11:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:11:17 2022 ] Eval epoch: 33
+[ Wed Aug 24 17:12:20 2022 ] 	Mean test loss of 312 batches: 5.124267.
+[ Wed Aug 24 17:12:20 2022 ] 	Top1: 7.29%
+[ Wed Aug 24 17:12:20 2022 ] 	Top5: 30.44%
+[ Wed Aug 24 17:12:20 2022 ] Training epoch: 34
+[ Wed Aug 24 17:13:01 2022 ] 	Training loss: 1.5678.  Training acc: 71.95%.
+[ Wed Aug 24 17:13:01 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:13:01 2022 ] Eval epoch: 34
+[ Wed Aug 24 17:14:10 2022 ] 	Mean test loss of 312 batches: 5.230147.
+[ Wed Aug 24 17:14:10 2022 ] 	Top1: 10.55%
+[ Wed Aug 24 17:14:10 2022 ] 	Top5: 30.27%
+[ Wed Aug 24 17:14:10 2022 ] Training epoch: 35
+[ Wed Aug 24 17:14:57 2022 ] 	Training loss: 1.5342.  Training acc: 73.81%.
+[ Wed Aug 24 17:14:57 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:14:57 2022 ] Eval epoch: 35
+[ Wed Aug 24 17:15:51 2022 ] 	Mean test loss of 312 batches: 3.663481.
+[ Wed Aug 24 17:15:51 2022 ] 	Top1: 22.69%
+[ Wed Aug 24 17:15:51 2022 ] 	Top5: 44.92%
+[ Wed Aug 24 17:15:51 2022 ] Training epoch: 36
+[ Wed Aug 24 17:16:45 2022 ] 	Training loss: 1.5207.  Training acc: 73.67%.
+[ Wed Aug 24 17:16:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:16:45 2022 ] Eval epoch: 36
+[ Wed Aug 24 17:17:42 2022 ] 	Mean test loss of 312 batches: 3.113320.
+[ Wed Aug 24 17:17:43 2022 ] 	Top1: 29.93%
+[ Wed Aug 24 17:17:43 2022 ] 	Top5: 57.72%
+[ Wed Aug 24 17:17:43 2022 ] Training epoch: 37
+[ Wed Aug 24 17:18:31 2022 ] 	Training loss: 1.5003.  Training acc: 74.69%.
+[ Wed Aug 24 17:18:31 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:18:31 2022 ] Eval epoch: 37
+[ Wed Aug 24 17:19:20 2022 ] 	Mean test loss of 312 batches: 3.092486.
+[ Wed Aug 24 17:19:21 2022 ] 	Top1: 26.71%
+[ Wed Aug 24 17:19:21 2022 ] 	Top5: 60.16%
+[ Wed Aug 24 17:19:21 2022 ] Training epoch: 38
+[ Wed Aug 24 17:20:12 2022 ] 	Training loss: 1.4968.  Training acc: 74.86%.
+[ Wed Aug 24 17:20:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:20:12 2022 ] Eval epoch: 38
+[ Wed Aug 24 17:21:14 2022 ] 	Mean test loss of 312 batches: 3.383700.
+[ Wed Aug 24 17:21:14 2022 ] 	Top1: 23.45%
+[ Wed Aug 24 17:21:14 2022 ] 	Top5: 52.32%
+[ Wed Aug 24 17:21:15 2022 ] Training epoch: 39
+[ Wed Aug 24 17:21:54 2022 ] 	Training loss: 1.4740.  Training acc: 75.76%.
+[ Wed Aug 24 17:21:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:21:54 2022 ] Eval epoch: 39
+[ Wed Aug 24 17:23:06 2022 ] 	Mean test loss of 312 batches: 2.607384.
+[ Wed Aug 24 17:23:06 2022 ] 	Top1: 39.84%
+[ Wed Aug 24 17:23:06 2022 ] 	Top5: 70.53%
+[ Wed Aug 24 17:23:06 2022 ] Training epoch: 40
+[ Wed Aug 24 17:23:54 2022 ] 	Training loss: 1.4527.  Training acc: 76.51%.
+[ Wed Aug 24 17:23:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:23:54 2022 ] Eval epoch: 40
+[ Wed Aug 24 17:24:39 2022 ] 	Mean test loss of 312 batches: 3.052249.
+[ Wed Aug 24 17:24:39 2022 ] 	Top1: 30.58%
+[ Wed Aug 24 17:24:39 2022 ] 	Top5: 61.03%
+[ Wed Aug 24 17:24:40 2022 ] Training epoch: 41
+[ Wed Aug 24 17:25:34 2022 ] 	Training loss: 1.4446.  Training acc: 76.60%.
+[ Wed Aug 24 17:25:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:25:34 2022 ] Eval epoch: 41
+[ Wed Aug 24 17:26:33 2022 ] 	Mean test loss of 312 batches: 2.614733.
+[ Wed Aug 24 17:26:33 2022 ] 	Top1: 43.42%
+[ Wed Aug 24 17:26:33 2022 ] 	Top5: 73.88%
+[ Wed Aug 24 17:26:33 2022 ] Training epoch: 42
+[ Wed Aug 24 17:27:20 2022 ] 	Training loss: 1.4198.  Training acc: 77.83%.
+[ Wed Aug 24 17:27:20 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:27:20 2022 ] Eval epoch: 42
+[ Wed Aug 24 17:28:25 2022 ] 	Mean test loss of 312 batches: 2.583557.
+[ Wed Aug 24 17:28:25 2022 ] 	Top1: 41.59%
+[ Wed Aug 24 17:28:25 2022 ] 	Top5: 74.30%
+[ Wed Aug 24 17:28:25 2022 ] Training epoch: 43
+[ Wed Aug 24 17:29:19 2022 ] 	Training loss: 1.4340.  Training acc: 77.24%.
+[ Wed Aug 24 17:29:19 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:29:19 2022 ] Eval epoch: 43
+[ Wed Aug 24 17:30:16 2022 ] 	Mean test loss of 312 batches: 2.757932.
+[ Wed Aug 24 17:30:16 2022 ] 	Top1: 36.38%
+[ Wed Aug 24 17:30:17 2022 ] 	Top5: 70.57%
+[ Wed Aug 24 17:30:17 2022 ] Training epoch: 44
+[ Wed Aug 24 17:31:00 2022 ] 	Training loss: 1.4086.  Training acc: 77.42%.
+[ Wed Aug 24 17:31:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:31:00 2022 ] Eval epoch: 44
+[ Wed Aug 24 17:31:56 2022 ] 	Mean test loss of 312 batches: 2.610045.
+[ Wed Aug 24 17:31:56 2022 ] 	Top1: 42.84%
+[ Wed Aug 24 17:31:57 2022 ] 	Top5: 75.39%
+[ Wed Aug 24 17:31:57 2022 ] Training epoch: 45
+[ Wed Aug 24 17:32:43 2022 ] 	Training loss: 1.3724.  Training acc: 79.43%.
+[ Wed Aug 24 17:32:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:32:43 2022 ] Eval epoch: 45
+[ Wed Aug 24 17:33:19 2022 ] 	Mean test loss of 312 batches: 2.528501.
+[ Wed Aug 24 17:33:19 2022 ] 	Top1: 42.34%
+[ Wed Aug 24 17:33:19 2022 ] 	Top5: 75.27%
+[ Wed Aug 24 17:33:19 2022 ] Training epoch: 46
+[ Wed Aug 24 17:34:12 2022 ] 	Training loss: 1.3775.  Training acc: 78.97%.
+[ Wed Aug 24 17:34:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:34:12 2022 ] Eval epoch: 46
+[ Wed Aug 24 17:35:06 2022 ] 	Mean test loss of 312 batches: 2.407109.
+[ Wed Aug 24 17:35:06 2022 ] 	Top1: 48.26%
+[ Wed Aug 24 17:35:06 2022 ] 	Top5: 79.29%
+[ Wed Aug 24 17:35:06 2022 ] Training epoch: 47
+[ Wed Aug 24 17:35:51 2022 ] 	Training loss: 1.3736.  Training acc: 79.74%.
+[ Wed Aug 24 17:35:51 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:35:51 2022 ] Eval epoch: 47
+[ Wed Aug 24 17:36:54 2022 ] 	Mean test loss of 312 batches: 2.309939.
+[ Wed Aug 24 17:36:54 2022 ] 	Top1: 48.61%
+[ Wed Aug 24 17:36:54 2022 ] 	Top5: 79.91%
+[ Wed Aug 24 17:36:55 2022 ] Training epoch: 48
+[ Wed Aug 24 17:37:47 2022 ] 	Training loss: 1.3540.  Training acc: 80.14%.
+[ Wed Aug 24 17:37:47 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:37:47 2022 ] Eval epoch: 48
+[ Wed Aug 24 17:38:30 2022 ] 	Mean test loss of 312 batches: 2.377838.
+[ Wed Aug 24 17:38:31 2022 ] 	Top1: 47.35%
+[ Wed Aug 24 17:38:31 2022 ] 	Top5: 79.22%
+[ Wed Aug 24 17:38:31 2022 ] Training epoch: 49
+[ Wed Aug 24 17:39:23 2022 ] 	Training loss: 1.3426.  Training acc: 80.72%.
+[ Wed Aug 24 17:39:23 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:39:23 2022 ] Eval epoch: 49
+[ Wed Aug 24 17:40:19 2022 ] 	Mean test loss of 312 batches: 2.277737.
+[ Wed Aug 24 17:40:19 2022 ] 	Top1: 48.74%
+[ Wed Aug 24 17:40:19 2022 ] 	Top5: 81.64%
+[ Wed Aug 24 17:40:19 2022 ] Training epoch: 50
+[ Wed Aug 24 17:41:11 2022 ] 	Training loss: 1.3169.  Training acc: 80.88%.
+[ Wed Aug 24 17:41:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:41:11 2022 ] Eval epoch: 50
+[ Wed Aug 24 17:41:56 2022 ] 	Mean test loss of 312 batches: 2.309441.
+[ Wed Aug 24 17:41:56 2022 ] 	Top1: 49.91%
+[ Wed Aug 24 17:41:56 2022 ] 	Top5: 83.48%
+[ Wed Aug 24 17:41:57 2022 ] Training epoch: 51
+[ Wed Aug 24 17:42:50 2022 ] 	Training loss: 1.3170.  Training acc: 81.11%.
+[ Wed Aug 24 17:42:50 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:42:50 2022 ] Eval epoch: 51
+[ Wed Aug 24 17:43:52 2022 ] 	Mean test loss of 312 batches: 2.360501.
+[ Wed Aug 24 17:43:52 2022 ] 	Top1: 46.71%
+[ Wed Aug 24 17:43:52 2022 ] 	Top5: 80.17%
+[ Wed Aug 24 17:43:52 2022 ] Training epoch: 52
+[ Wed Aug 24 17:44:35 2022 ] 	Training loss: 1.3233.  Training acc: 80.83%.
+[ Wed Aug 24 17:44:35 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:44:35 2022 ] Eval epoch: 52
+[ Wed Aug 24 17:45:39 2022 ] 	Mean test loss of 312 batches: 2.539696.
+[ Wed Aug 24 17:45:40 2022 ] 	Top1: 45.31%
+[ Wed Aug 24 17:45:40 2022 ] 	Top5: 77.74%
+[ Wed Aug 24 17:45:40 2022 ] Training epoch: 53
+[ Wed Aug 24 17:46:38 2022 ] 	Training loss: 1.3032.  Training acc: 81.72%.
+[ Wed Aug 24 17:46:38 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:46:38 2022 ] Eval epoch: 53
+[ Wed Aug 24 17:47:24 2022 ] 	Mean test loss of 312 batches: 2.190680.
+[ Wed Aug 24 17:47:24 2022 ] 	Top1: 54.55%
+[ Wed Aug 24 17:47:24 2022 ] 	Top5: 83.70%
+[ Wed Aug 24 17:47:24 2022 ] Training epoch: 54
+[ Wed Aug 24 17:48:12 2022 ] 	Training loss: 1.3003.  Training acc: 81.85%.
+[ Wed Aug 24 17:48:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:48:12 2022 ] Eval epoch: 54
+[ Wed Aug 24 17:49:15 2022 ] 	Mean test loss of 312 batches: 2.136780.
+[ Wed Aug 24 17:49:15 2022 ] 	Top1: 53.13%
+[ Wed Aug 24 17:49:15 2022 ] 	Top5: 86.35%
+[ Wed Aug 24 17:49:15 2022 ] Training epoch: 55
+[ Wed Aug 24 17:50:07 2022 ] 	Training loss: 1.2813.  Training acc: 82.88%.
+[ Wed Aug 24 17:50:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:50:07 2022 ] Eval epoch: 55
+[ Wed Aug 24 17:50:59 2022 ] 	Mean test loss of 312 batches: 2.300284.
+[ Wed Aug 24 17:50:59 2022 ] 	Top1: 49.54%
+[ Wed Aug 24 17:50:59 2022 ] 	Top5: 82.37%
+[ Wed Aug 24 17:50:59 2022 ] Training epoch: 56
+[ Wed Aug 24 17:51:46 2022 ] 	Training loss: 1.2667.  Training acc: 83.66%.
+[ Wed Aug 24 17:51:46 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:51:46 2022 ] Eval epoch: 56
+[ Wed Aug 24 17:52:45 2022 ] 	Mean test loss of 312 batches: 2.507625.
+[ Wed Aug 24 17:52:45 2022 ] 	Top1: 42.05%
+[ Wed Aug 24 17:52:45 2022 ] 	Top5: 75.61%
+[ Wed Aug 24 17:52:45 2022 ] Training epoch: 57
+[ Wed Aug 24 17:53:26 2022 ] 	Training loss: 1.2704.  Training acc: 82.99%.
+[ Wed Aug 24 17:53:26 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:53:26 2022 ] Eval epoch: 57
+[ Wed Aug 24 17:54:10 2022 ] 	Mean test loss of 312 batches: 2.052165.
+[ Wed Aug 24 17:54:10 2022 ] 	Top1: 57.00%
+[ Wed Aug 24 17:54:10 2022 ] 	Top5: 89.00%
+[ Wed Aug 24 17:54:11 2022 ] Training epoch: 58
+[ Wed Aug 24 17:55:00 2022 ] 	Training loss: 1.2641.  Training acc: 83.41%.
+[ Wed Aug 24 17:55:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:55:00 2022 ] Eval epoch: 58
+[ Wed Aug 24 17:55:36 2022 ] 	Mean test loss of 312 batches: 2.545081.
+[ Wed Aug 24 17:55:36 2022 ] 	Top1: 43.99%
+[ Wed Aug 24 17:55:36 2022 ] 	Top5: 76.13%
+[ Wed Aug 24 17:55:36 2022 ] Training epoch: 59
+[ Wed Aug 24 17:56:23 2022 ] 	Training loss: 1.2707.  Training acc: 83.00%.
+[ Wed Aug 24 17:56:23 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:56:23 2022 ] Eval epoch: 59
+[ Wed Aug 24 17:57:34 2022 ] 	Mean test loss of 312 batches: 2.104025.
+[ Wed Aug 24 17:57:35 2022 ] 	Top1: 53.89%
+[ Wed Aug 24 17:57:35 2022 ] 	Top5: 87.07%
+[ Wed Aug 24 17:57:35 2022 ] Training epoch: 60
+[ Wed Aug 24 17:58:20 2022 ] 	Training loss: 1.2520.  Training acc: 83.22%.
+[ Wed Aug 24 17:58:20 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:58:20 2022 ] Eval epoch: 60
+[ Wed Aug 24 17:59:24 2022 ] 	Mean test loss of 312 batches: 2.017911.
+[ Wed Aug 24 17:59:25 2022 ] 	Top1: 56.77%
+[ Wed Aug 24 17:59:25 2022 ] 	Top5: 87.85%
+[ Wed Aug 24 17:59:25 2022 ] Training epoch: 61
+[ Wed Aug 24 18:00:13 2022 ] 	Training loss: 1.2430.  Training acc: 84.45%.
+[ Wed Aug 24 18:00:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:00:13 2022 ] Eval epoch: 61
+[ Wed Aug 24 18:01:00 2022 ] 	Mean test loss of 312 batches: 2.121229.
+[ Wed Aug 24 18:01:00 2022 ] 	Top1: 55.04%
+[ Wed Aug 24 18:01:01 2022 ] 	Top5: 85.59%
+[ Wed Aug 24 18:01:01 2022 ] Training epoch: 62
+[ Wed Aug 24 18:01:43 2022 ] 	Training loss: 1.2251.  Training acc: 84.68%.
+[ Wed Aug 24 18:01:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:01:43 2022 ] Eval epoch: 62
+[ Wed Aug 24 18:02:38 2022 ] 	Mean test loss of 312 batches: 2.078856.
+[ Wed Aug 24 18:02:38 2022 ] 	Top1: 55.67%
+[ Wed Aug 24 18:02:38 2022 ] 	Top5: 88.03%
+[ Wed Aug 24 18:02:38 2022 ] Training epoch: 63
+[ Wed Aug 24 18:03:31 2022 ] 	Training loss: 1.2527.  Training acc: 83.71%.
+[ Wed Aug 24 18:03:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Wed Aug 24 18:03:31 2022 ] Eval epoch: 63
+[ Wed Aug 24 18:04:20 2022 ] 	Mean test loss of 312 batches: 1.867305.
+[ Wed Aug 24 18:04:20 2022 ] 	Top1: 62.09%
+[ Wed Aug 24 18:04:21 2022 ] 	Top5: 91.37%
+[ Wed Aug 24 18:04:21 2022 ] Training epoch: 64
+[ Wed Aug 24 18:05:07 2022 ] 	Training loss: 1.2285.  Training acc: 84.64%.
+[ Wed Aug 24 18:05:07 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:05:07 2022 ] Eval epoch: 64
+[ Wed Aug 24 18:06:17 2022 ] 	Mean test loss of 312 batches: 2.137062.
+[ Wed Aug 24 18:06:17 2022 ] 	Top1: 56.30%
+[ Wed Aug 24 18:06:18 2022 ] 	Top5: 88.14%
+[ Wed Aug 24 18:06:18 2022 ] Training epoch: 65
+[ Wed Aug 24 18:07:04 2022 ] 	Training loss: 1.2180.  Training acc: 85.22%.
+[ Wed Aug 24 18:07:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:07:04 2022 ] Eval epoch: 65
+[ Wed Aug 24 18:07:42 2022 ] 	Mean test loss of 312 batches: 2.087246.
+[ Wed Aug 24 18:07:42 2022 ] 	Top1: 55.89%
+[ Wed Aug 24 18:07:43 2022 ] 	Top5: 86.83%
+[ Wed Aug 24 18:07:43 2022 ] Training epoch: 66
+[ Wed Aug 24 18:08:43 2022 ] 	Training loss: 1.2254.  Training acc: 84.66%.
+[ Wed Aug 24 18:08:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Wed Aug 24 18:08:43 2022 ] Eval epoch: 66
+[ Wed Aug 24 18:09:27 2022 ] 	Mean test loss of 312 batches: 2.143244.
+[ Wed Aug 24 18:09:27 2022 ] 	Top1: 55.12%
+[ Wed Aug 24 18:09:28 2022 ] 	Top5: 85.59%
+[ Wed Aug 24 18:09:28 2022 ] Training epoch: 67
+[ Wed Aug 24 18:10:12 2022 ] 	Training loss: 1.1894.  Training acc: 85.91%.
+[ Wed Aug 24 18:10:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:10:12 2022 ] Eval epoch: 67
+[ Wed Aug 24 18:11:06 2022 ] 	Mean test loss of 312 batches: 1.949830.
+[ Wed Aug 24 18:11:06 2022 ] 	Top1: 58.82%
+[ Wed Aug 24 18:11:06 2022 ] 	Top5: 89.75%
+[ Wed Aug 24 18:11:07 2022 ] Training epoch: 68
+[ Wed Aug 24 18:12:01 2022 ] 	Training loss: 1.1906.  Training acc: 86.13%.
+[ Wed Aug 24 18:12:01 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:12:01 2022 ] Eval epoch: 68
+[ Wed Aug 24 18:12:45 2022 ] 	Mean test loss of 312 batches: 1.935006.
+[ Wed Aug 24 18:12:45 2022 ] 	Top1: 61.22%
+[ Wed Aug 24 18:12:45 2022 ] 	Top5: 90.51%
+[ Wed Aug 24 18:12:46 2022 ] Training epoch: 69
+[ Wed Aug 24 18:13:30 2022 ] 	Training loss: 1.1901.  Training acc: 85.67%.
+[ Wed Aug 24 18:13:30 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:13:30 2022 ] Eval epoch: 69
+[ Wed Aug 24 18:14:22 2022 ] 	Mean test loss of 312 batches: 2.088810.
+[ Wed Aug 24 18:14:23 2022 ] 	Top1: 55.47%
+[ Wed Aug 24 18:14:23 2022 ] 	Top5: 87.18%
+[ Wed Aug 24 18:14:23 2022 ] Training epoch: 70
+[ Wed Aug 24 18:15:21 2022 ] 	Training loss: 1.1988.  Training acc: 85.63%.
+[ Wed Aug 24 18:15:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:15:21 2022 ] Eval epoch: 70
+[ Wed Aug 24 18:15:55 2022 ] 	Mean test loss of 312 batches: 2.509671.
+[ Wed Aug 24 18:15:55 2022 ] 	Top1: 47.64%
+[ Wed Aug 24 18:15:55 2022 ] 	Top5: 76.07%
+[ Wed Aug 24 18:15:55 2022 ] Training epoch: 71
+[ Wed Aug 24 18:16:44 2022 ] 	Training loss: 1.1787.  Training acc: 85.68%.
+[ Wed Aug 24 18:16:44 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:16:44 2022 ] Eval epoch: 71
+[ Wed Aug 24 18:17:39 2022 ] 	Mean test loss of 312 batches: 2.042840.
+[ Wed Aug 24 18:17:40 2022 ] 	Top1: 57.35%
+[ Wed Aug 24 18:17:40 2022 ] 	Top5: 88.94%
+[ Wed Aug 24 18:17:40 2022 ] Training epoch: 72
+[ Wed Aug 24 18:18:28 2022 ] 	Training loss: 1.1686.  Training acc: 87.05%.
+[ Wed Aug 24 18:18:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:18:28 2022 ] Eval epoch: 72
+[ Wed Aug 24 18:18:57 2022 ] 	Mean test loss of 312 batches: 2.062165.
+[ Wed Aug 24 18:18:57 2022 ] 	Top1: 57.33%
+[ Wed Aug 24 18:18:58 2022 ] 	Top5: 86.38%
+[ Wed Aug 24 18:18:58 2022 ] Training epoch: 73
+[ Wed Aug 24 18:19:49 2022 ] 	Training loss: 1.1779.  Training acc: 86.24%.
+[ Wed Aug 24 18:19:49 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:19:49 2022 ] Eval epoch: 73
+[ Wed Aug 24 18:20:24 2022 ] 	Mean test loss of 312 batches: 1.950233.
+[ Wed Aug 24 18:20:24 2022 ] 	Top1: 59.49%
+[ Wed Aug 24 18:20:24 2022 ] 	Top5: 90.68%
+[ Wed Aug 24 18:20:24 2022 ] Training epoch: 74
+[ Wed Aug 24 18:21:11 2022 ] 	Training loss: 1.1608.  Training acc: 86.74%.
+[ Wed Aug 24 18:21:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:21:11 2022 ] Eval epoch: 74
+[ Wed Aug 24 18:21:51 2022 ] 	Mean test loss of 312 batches: 2.051566.
+[ Wed Aug 24 18:21:51 2022 ] 	Top1: 56.04%
+[ Wed Aug 24 18:21:51 2022 ] 	Top5: 87.44%
+[ Wed Aug 24 18:21:51 2022 ] Training epoch: 75
+[ Wed Aug 24 18:22:41 2022 ] 	Training loss: 1.1476.  Training acc: 87.69%.
+[ Wed Aug 24 18:22:41 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:22:41 2022 ] Eval epoch: 75
+[ Wed Aug 24 18:23:32 2022 ] 	Mean test loss of 312 batches: 1.959421.
+[ Wed Aug 24 18:23:32 2022 ] 	Top1: 60.57%
+[ Wed Aug 24 18:23:32 2022 ] 	Top5: 89.73%
+[ Wed Aug 24 18:23:32 2022 ] Training epoch: 76
+[ Wed Aug 24 18:24:17 2022 ] 	Training loss: 1.1508.  Training acc: 86.92%.
+[ Wed Aug 24 18:24:17 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:24:17 2022 ] Eval epoch: 76
+[ Wed Aug 24 18:24:52 2022 ] 	Mean test loss of 312 batches: 2.272113.
+[ Wed Aug 24 18:24:52 2022 ] 	Top1: 50.97%
+[ Wed Aug 24 18:24:52 2022 ] 	Top5: 85.33%
+[ Wed Aug 24 18:24:52 2022 ] Training epoch: 77
+[ Wed Aug 24 18:25:48 2022 ] 	Training loss: 1.1341.  Training acc: 87.81%.
+[ Wed Aug 24 18:25:48 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:25:48 2022 ] Eval epoch: 77
+[ Wed Aug 24 18:26:38 2022 ] 	Mean test loss of 312 batches: 2.202280.
+[ Wed Aug 24 18:26:38 2022 ] 	Top1: 50.80%
+[ Wed Aug 24 18:26:38 2022 ] 	Top5: 87.04%
+[ Wed Aug 24 18:26:38 2022 ] Training epoch: 78
+[ Wed Aug 24 18:27:24 2022 ] 	Training loss: 1.1343.  Training acc: 87.67%.
+[ Wed Aug 24 18:27:24 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:27:24 2022 ] Eval epoch: 78
+[ Wed Aug 24 18:28:18 2022 ] 	Mean test loss of 312 batches: 1.935356.
+[ Wed Aug 24 18:28:18 2022 ] 	Top1: 59.25%
+[ Wed Aug 24 18:28:18 2022 ] 	Top5: 90.18%
+[ Wed Aug 24 18:28:18 2022 ] Training epoch: 79
+[ Wed Aug 24 18:29:05 2022 ] 	Training loss: 1.1272.  Training acc: 88.26%.
+[ Wed Aug 24 18:29:05 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:29:05 2022 ] Eval epoch: 79
+[ Wed Aug 24 18:29:42 2022 ] 	Mean test loss of 312 batches: 1.949073.
+[ Wed Aug 24 18:29:43 2022 ] 	Top1: 60.85%
+[ Wed Aug 24 18:29:43 2022 ] 	Top5: 89.11%
+[ Wed Aug 24 18:29:43 2022 ] Training epoch: 80
+[ Wed Aug 24 18:30:28 2022 ] 	Training loss: 1.1401.  Training acc: 87.74%.
+[ Wed Aug 24 18:30:28 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:30:28 2022 ] Eval epoch: 80
+[ Wed Aug 24 18:31:21 2022 ] 	Mean test loss of 312 batches: 2.017151.
+[ Wed Aug 24 18:31:21 2022 ] 	Top1: 59.65%
+[ Wed Aug 24 18:31:21 2022 ] 	Top5: 88.34%
+[ Wed Aug 24 18:31:22 2022 ] Training epoch: 81
+[ Wed Aug 24 18:32:16 2022 ] 	Training loss: 1.1339.  Training acc: 87.92%.
+[ Wed Aug 24 18:32:16 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:32:16 2022 ] Eval epoch: 81
+[ Wed Aug 24 18:32:54 2022 ] 	Mean test loss of 312 batches: 2.151799.
+[ Wed Aug 24 18:32:54 2022 ] 	Top1: 54.19%
+[ Wed Aug 24 18:32:54 2022 ] 	Top5: 84.89%
+[ Wed Aug 24 18:32:54 2022 ] Training epoch: 82
+[ Wed Aug 24 18:33:42 2022 ] 	Training loss: 1.1040.  Training acc: 89.06%.
+[ Wed Aug 24 18:33:42 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:33:42 2022 ] Eval epoch: 82
+[ Wed Aug 24 18:34:45 2022 ] 	Mean test loss of 312 batches: 2.055144.
+[ Wed Aug 24 18:34:45 2022 ] 	Top1: 57.90%
+[ Wed Aug 24 18:34:45 2022 ] 	Top5: 88.41%
+[ Wed Aug 24 18:34:45 2022 ] Training epoch: 83
+[ Wed Aug 24 18:35:27 2022 ] 	Training loss: 1.1028.  Training acc: 89.09%.
+[ Wed Aug 24 18:35:27 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:35:27 2022 ] Eval epoch: 83
+[ Wed Aug 24 18:36:17 2022 ] 	Mean test loss of 312 batches: 1.983702.
+[ Wed Aug 24 18:36:17 2022 ] 	Top1: 57.98%
+[ Wed Aug 24 18:36:18 2022 ] 	Top5: 89.14%
+[ Wed Aug 24 18:36:18 2022 ] Training epoch: 84
+[ Wed Aug 24 18:37:08 2022 ] 	Training loss: 1.1133.  Training acc: 88.76%.
+[ Wed Aug 24 18:37:08 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:37:08 2022 ] Eval epoch: 84
+[ Wed Aug 24 18:37:47 2022 ] 	Mean test loss of 312 batches: 2.402068.
+[ Wed Aug 24 18:37:47 2022 ] 	Top1: 48.91%
+[ Wed Aug 24 18:37:47 2022 ] 	Top5: 79.41%
+[ Wed Aug 24 18:37:48 2022 ] Training epoch: 85
+[ Wed Aug 24 18:38:32 2022 ] 	Training loss: 1.0842.  Training acc: 89.64%.
+[ Wed Aug 24 18:38:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:38:32 2022 ] Eval epoch: 85
+[ Wed Aug 24 18:39:15 2022 ] 	Mean test loss of 312 batches: 2.206368.
+[ Wed Aug 24 18:39:15 2022 ] 	Top1: 51.55%
+[ Wed Aug 24 18:39:15 2022 ] 	Top5: 85.35%
+[ Wed Aug 24 18:39:15 2022 ] Training epoch: 86
+[ Wed Aug 24 18:40:03 2022 ] 	Training loss: 1.1192.  Training acc: 88.49%.
+[ Wed Aug 24 18:40:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:40:03 2022 ] Eval epoch: 86
+[ Wed Aug 24 18:40:57 2022 ] 	Mean test loss of 312 batches: 1.998506.
+[ Wed Aug 24 18:40:57 2022 ] 	Top1: 59.51%
+[ Wed Aug 24 18:40:57 2022 ] 	Top5: 87.88%
+[ Wed Aug 24 18:40:57 2022 ] Training epoch: 87
+[ Wed Aug 24 18:41:43 2022 ] 	Training loss: 1.0846.  Training acc: 89.77%.
+[ Wed Aug 24 18:41:43 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:41:43 2022 ] Eval epoch: 87
+[ Wed Aug 24 18:42:39 2022 ] 	Mean test loss of 312 batches: 2.021438.
+[ Wed Aug 24 18:42:39 2022 ] 	Top1: 59.97%
+[ Wed Aug 24 18:42:39 2022 ] 	Top5: 90.01%
+[ Wed Aug 24 18:42:39 2022 ] Training epoch: 88
+[ Wed Aug 24 18:43:26 2022 ] 	Training loss: 1.0828.  Training acc: 89.92%.
+[ Wed Aug 24 18:43:26 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:43:26 2022 ] Eval epoch: 88
+[ Wed Aug 24 18:44:06 2022 ] 	Mean test loss of 312 batches: 2.164808.
+[ Wed Aug 24 18:44:07 2022 ] 	Top1: 54.56%
+[ Wed Aug 24 18:44:07 2022 ] 	Top5: 85.93%
+[ Wed Aug 24 18:44:07 2022 ] Training epoch: 89
+[ Wed Aug 24 18:44:59 2022 ] 	Training loss: 1.0868.  Training acc: 89.70%.
+[ Wed Aug 24 18:44:59 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:44:59 2022 ] Eval epoch: 89
+[ Wed Aug 24 18:45:52 2022 ] 	Mean test loss of 312 batches: 1.903481.
+[ Wed Aug 24 18:45:52 2022 ] 	Top1: 61.06%
+[ Wed Aug 24 18:45:52 2022 ] 	Top5: 90.57%
+[ Wed Aug 24 18:45:53 2022 ] Training epoch: 90
+[ Wed Aug 24 18:46:36 2022 ] 	Training loss: 1.0729.  Training acc: 90.11%.
+[ Wed Aug 24 18:46:36 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:46:36 2022 ] Eval epoch: 90
+[ Wed Aug 24 18:47:27 2022 ] 	Mean test loss of 312 batches: 1.795661.
+[ Wed Aug 24 18:47:27 2022 ] 	Top1: 65.42%
+[ Wed Aug 24 18:47:28 2022 ] 	Top5: 92.03%
+[ Wed Aug 24 18:47:28 2022 ] Training epoch: 91
+[ Wed Aug 24 18:48:11 2022 ] 	Training loss: 0.9703.  Training acc: 94.25%.
+[ Wed Aug 24 18:48:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:48:11 2022 ] Eval epoch: 91
+[ Wed Aug 24 18:48:57 2022 ] 	Mean test loss of 312 batches: 1.651082.
+[ Wed Aug 24 18:48:57 2022 ] 	Top1: 69.68%
+[ Wed Aug 24 18:48:57 2022 ] 	Top5: 94.16%
+[ Wed Aug 24 18:48:57 2022 ] Training epoch: 92
+[ Wed Aug 24 18:49:44 2022 ] 	Training loss: 0.9233.  Training acc: 95.95%.
+[ Wed Aug 24 18:49:44 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:49:44 2022 ] Eval epoch: 92
+[ Wed Aug 24 18:50:36 2022 ] 	Mean test loss of 312 batches: 1.612351.
+[ Wed Aug 24 18:50:36 2022 ] 	Top1: 71.27%
+[ Wed Aug 24 18:50:37 2022 ] 	Top5: 94.50%
+[ Wed Aug 24 18:50:37 2022 ] Training epoch: 93
+[ Wed Aug 24 18:51:28 2022 ] 	Training loss: 0.9062.  Training acc: 96.62%.
+[ Wed Aug 24 18:51:28 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:51:28 2022 ] Eval epoch: 93
+[ Wed Aug 24 18:52:07 2022 ] 	Mean test loss of 312 batches: 1.611751.
+[ Wed Aug 24 18:52:07 2022 ] 	Top1: 71.51%
+[ Wed Aug 24 18:52:08 2022 ] 	Top5: 94.36%
+[ Wed Aug 24 18:52:08 2022 ] Training epoch: 94
+[ Wed Aug 24 18:53:00 2022 ] 	Training loss: 0.8980.  Training acc: 96.99%.
+[ Wed Aug 24 18:53:00 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:53:00 2022 ] Eval epoch: 94
+[ Wed Aug 24 18:54:01 2022 ] 	Mean test loss of 312 batches: 1.619480.
+[ Wed Aug 24 18:54:01 2022 ] 	Top1: 71.36%
+[ Wed Aug 24 18:54:01 2022 ] 	Top5: 94.28%
+[ Wed Aug 24 18:54:01 2022 ] Training epoch: 95
+[ Wed Aug 24 18:54:45 2022 ] 	Training loss: 0.8914.  Training acc: 97.23%.
+[ Wed Aug 24 18:54:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:54:45 2022 ] Eval epoch: 95
+[ Wed Aug 24 18:55:35 2022 ] 	Mean test loss of 312 batches: 1.635140.
+[ Wed Aug 24 18:55:35 2022 ] 	Top1: 70.63%
+[ Wed Aug 24 18:55:35 2022 ] 	Top5: 93.97%
+[ Wed Aug 24 18:55:35 2022 ] Training epoch: 96
+[ Wed Aug 24 18:56:24 2022 ] 	Training loss: 0.8840.  Training acc: 97.26%.
+[ Wed Aug 24 18:56:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:56:24 2022 ] Eval epoch: 96
+[ Wed Aug 24 18:56:57 2022 ] 	Mean test loss of 312 batches: 1.613414.
+[ Wed Aug 24 18:56:57 2022 ] 	Top1: 71.49%
+[ Wed Aug 24 18:56:57 2022 ] 	Top5: 94.15%
+[ Wed Aug 24 18:56:58 2022 ] Training epoch: 97
+[ Wed Aug 24 18:57:42 2022 ] 	Training loss: 0.8768.  Training acc: 97.64%.
+[ Wed Aug 24 18:57:42 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:57:42 2022 ] Eval epoch: 97
+[ Wed Aug 24 18:58:31 2022 ] 	Mean test loss of 312 batches: 1.621303.
+[ Wed Aug 24 18:58:32 2022 ] 	Top1: 71.09%
+[ Wed Aug 24 18:58:32 2022 ] 	Top5: 94.17%
+[ Wed Aug 24 18:58:32 2022 ] Training epoch: 98
+[ Wed Aug 24 18:59:21 2022 ] 	Training loss: 0.8702.  Training acc: 97.63%.
+[ Wed Aug 24 18:59:21 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:59:21 2022 ] Eval epoch: 98
+[ Wed Aug 24 19:00:05 2022 ] 	Mean test loss of 312 batches: 1.613923.
+[ Wed Aug 24 19:00:05 2022 ] 	Top1: 71.11%
+[ Wed Aug 24 19:00:05 2022 ] 	Top5: 94.31%
+[ Wed Aug 24 19:00:05 2022 ] Training epoch: 99
+[ Wed Aug 24 19:00:50 2022 ] 	Training loss: 0.8667.  Training acc: 97.93%.
+[ Wed Aug 24 19:00:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:00:50 2022 ] Eval epoch: 99
+[ Wed Aug 24 19:01:54 2022 ] 	Mean test loss of 312 batches: 1.652342.
+[ Wed Aug 24 19:01:54 2022 ] 	Top1: 70.14%
+[ Wed Aug 24 19:01:54 2022 ] 	Top5: 93.53%
+[ Wed Aug 24 19:01:54 2022 ] Training epoch: 100
+[ Wed Aug 24 19:02:39 2022 ] 	Training loss: 0.8668.  Training acc: 98.03%.
+[ Wed Aug 24 19:02:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:02:39 2022 ] Eval epoch: 100
+[ Wed Aug 24 19:03:17 2022 ] 	Mean test loss of 312 batches: 1.632626.
+[ Wed Aug 24 19:03:17 2022 ] 	Top1: 70.69%
+[ Wed Aug 24 19:03:17 2022 ] 	Top5: 94.11%
+[ Wed Aug 24 19:03:17 2022 ] Training epoch: 101
+[ Wed Aug 24 19:04:09 2022 ] 	Training loss: 0.8574.  Training acc: 98.28%.
+[ Wed Aug 24 19:04:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:04:09 2022 ] Eval epoch: 101
+[ Wed Aug 24 19:05:02 2022 ] 	Mean test loss of 312 batches: 1.628117.
+[ Wed Aug 24 19:05:02 2022 ] 	Top1: 70.80%
+[ Wed Aug 24 19:05:02 2022 ] 	Top5: 94.17%
+[ Wed Aug 24 19:05:02 2022 ] Training epoch: 102
+[ Wed Aug 24 19:05:42 2022 ] 	Training loss: 0.8547.  Training acc: 98.36%.
+[ Wed Aug 24 19:05:42 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:05:42 2022 ] Eval epoch: 102
+[ Wed Aug 24 19:06:24 2022 ] 	Mean test loss of 312 batches: 1.635648.
+[ Wed Aug 24 19:06:24 2022 ] 	Top1: 70.46%
+[ Wed Aug 24 19:06:24 2022 ] 	Top5: 93.95%
+[ Wed Aug 24 19:06:24 2022 ] Training epoch: 103
+[ Wed Aug 24 19:07:07 2022 ] 	Training loss: 0.8585.  Training acc: 98.03%.
+[ Wed Aug 24 19:07:07 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:07:07 2022 ] Eval epoch: 103
+[ Wed Aug 24 19:07:50 2022 ] 	Mean test loss of 312 batches: 1.624122.
+[ Wed Aug 24 19:07:50 2022 ] 	Top1: 71.00%
+[ Wed Aug 24 19:07:50 2022 ] 	Top5: 94.14%
+[ Wed Aug 24 19:07:50 2022 ] Training epoch: 104
+[ Wed Aug 24 19:08:36 2022 ] 	Training loss: 0.8535.  Training acc: 98.41%.
+[ Wed Aug 24 19:08:36 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:08:36 2022 ] Eval epoch: 104
+[ Wed Aug 24 19:09:25 2022 ] 	Mean test loss of 312 batches: 1.628783.
+[ Wed Aug 24 19:09:25 2022 ] 	Top1: 70.86%
+[ Wed Aug 24 19:09:25 2022 ] 	Top5: 94.07%
+[ Wed Aug 24 19:09:25 2022 ] Training epoch: 105
+[ Wed Aug 24 19:10:18 2022 ] 	Training loss: 0.8568.  Training acc: 98.31%.
+[ Wed Aug 24 19:10:18 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:10:18 2022 ] Eval epoch: 105
+[ Wed Aug 24 19:10:56 2022 ] 	Mean test loss of 312 batches: 1.623413.
+[ Wed Aug 24 19:10:57 2022 ] 	Top1: 71.08%
+[ Wed Aug 24 19:10:57 2022 ] 	Top5: 94.02%
+[ Wed Aug 24 19:10:57 2022 ] Training epoch: 106
+[ Wed Aug 24 19:11:45 2022 ] 	Training loss: 0.8533.  Training acc: 98.58%.
+[ Wed Aug 24 19:11:45 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:11:45 2022 ] Eval epoch: 106
+[ Wed Aug 24 19:12:47 2022 ] 	Mean test loss of 312 batches: 1.625556.
+[ Wed Aug 24 19:12:47 2022 ] 	Top1: 70.96%
+[ Wed Aug 24 19:12:47 2022 ] 	Top5: 94.08%
+[ Wed Aug 24 19:12:47 2022 ] Training epoch: 107
+[ Wed Aug 24 19:13:30 2022 ] 	Training loss: 0.8509.  Training acc: 98.41%.
+[ Wed Aug 24 19:13:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:13:30 2022 ] Eval epoch: 107
+[ Wed Aug 24 19:14:02 2022 ] 	Mean test loss of 312 batches: 1.626369.
+[ Wed Aug 24 19:14:02 2022 ] 	Top1: 71.16%
+[ Wed Aug 24 19:14:02 2022 ] 	Top5: 94.01%
+[ Wed Aug 24 19:14:02 2022 ] Training epoch: 108
+[ Wed Aug 24 19:14:43 2022 ] 	Training loss: 0.8536.  Training acc: 98.37%.
+[ Wed Aug 24 19:14:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:14:43 2022 ] Eval epoch: 108
+[ Wed Aug 24 19:15:15 2022 ] 	Mean test loss of 312 batches: 1.633285.
+[ Wed Aug 24 19:15:15 2022 ] 	Top1: 71.01%
+[ Wed Aug 24 19:15:15 2022 ] 	Top5: 94.08%
+[ Wed Aug 24 19:15:15 2022 ] Training epoch: 109
+[ Wed Aug 24 19:15:54 2022 ] 	Training loss: 0.8512.  Training acc: 98.41%.
+[ Wed Aug 24 19:15:54 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:15:54 2022 ] Eval epoch: 109
+[ Wed Aug 24 19:16:25 2022 ] 	Mean test loss of 312 batches: 1.629912.
+[ Wed Aug 24 19:16:25 2022 ] 	Top1: 70.92%
+[ Wed Aug 24 19:16:25 2022 ] 	Top5: 94.02%
+[ Wed Aug 24 19:16:25 2022 ] Training epoch: 110
+[ Wed Aug 24 19:17:04 2022 ] 	Training loss: 0.8532.  Training acc: 98.42%.
+[ Wed Aug 24 19:17:04 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:17:04 2022 ] Eval epoch: 110
+[ Wed Aug 24 19:17:30 2022 ] 	Mean test loss of 312 batches: 1.624481.
+[ Wed Aug 24 19:17:30 2022 ] 	Top1: 71.19%
+[ Wed Aug 24 19:17:30 2022 ] 	Top5: 94.17%

ckpt/Others/InfoGCN/ntu_60_xview_LT/j/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc9c93e494af2e0f01d8849473407cbcf6d7355209dcd82d612b7e407897560f
+size 5347532

ckpt/Others/InfoGCN/ntu_60_xview_LT/j/log.txt

@@ -0,0 +1,775 @@
+[ Wed Aug 24 16:20:10 2022 ] using warm up, epoch: 5
+[ Wed Aug 24 16:21:01 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 60, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu/NTU60_CV_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': False, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_60_xview_LT/j', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 8, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 128, 'test_batch_size': 128, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Wed Aug 24 16:21:01 2022 ] # Parameters: 1556807
+[ Wed Aug 24 16:21:01 2022 ] Training epoch: 1
+[ Wed Aug 24 16:21:36 2022 ] 	Training loss: 9.8707.  Training acc: 6.38%.
+[ Wed Aug 24 16:21:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:21:36 2022 ] Eval epoch: 1
+[ Wed Aug 24 16:21:58 2022 ] 	Mean test loss of 312 batches: 4.521764.
+[ Wed Aug 24 16:21:59 2022 ] 	Top1: 5.66%
+[ Wed Aug 24 16:21:59 2022 ] 	Top5: 14.78%
+[ Wed Aug 24 16:21:59 2022 ] Training epoch: 2
+[ Wed Aug 24 16:22:33 2022 ] 	Training loss: 3.6285.  Training acc: 18.88%.
+[ Wed Aug 24 16:22:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:22:33 2022 ] Eval epoch: 2
+[ Wed Aug 24 16:23:00 2022 ] 	Mean test loss of 312 batches: 3.921261.
+[ Wed Aug 24 16:23:00 2022 ] 	Top1: 9.03%
+[ Wed Aug 24 16:23:00 2022 ] 	Top5: 27.24%
+[ Wed Aug 24 16:23:01 2022 ] Training epoch: 3
+[ Wed Aug 24 16:23:37 2022 ] 	Training loss: 3.0153.  Training acc: 27.86%.
+[ Wed Aug 24 16:23:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:23:37 2022 ] Eval epoch: 3
+[ Wed Aug 24 16:24:01 2022 ] 	Mean test loss of 312 batches: 4.348569.
+[ Wed Aug 24 16:24:02 2022 ] 	Top1: 8.50%
+[ Wed Aug 24 16:24:02 2022 ] 	Top5: 28.69%
+[ Wed Aug 24 16:24:02 2022 ] Training epoch: 4
+[ Wed Aug 24 16:24:38 2022 ] 	Training loss: 2.8133.  Training acc: 33.30%.
+[ Wed Aug 24 16:24:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Wed Aug 24 16:24:38 2022 ] Eval epoch: 4
+[ Wed Aug 24 16:25:03 2022 ] 	Mean test loss of 312 batches: 3.771049.
+[ Wed Aug 24 16:25:04 2022 ] 	Top1: 14.34%
+[ Wed Aug 24 16:25:04 2022 ] 	Top5: 40.20%
+[ Wed Aug 24 16:25:04 2022 ] Training epoch: 5
+[ Wed Aug 24 16:25:42 2022 ] 	Training loss: 2.7323.  Training acc: 36.55%.
+[ Wed Aug 24 16:25:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:25:42 2022 ] Eval epoch: 5
+[ Wed Aug 24 16:26:13 2022 ] 	Mean test loss of 312 batches: 3.717071.
+[ Wed Aug 24 16:26:13 2022 ] 	Top1: 13.44%
+[ Wed Aug 24 16:26:13 2022 ] 	Top5: 35.08%
+[ Wed Aug 24 16:26:13 2022 ] Training epoch: 6
+[ Wed Aug 24 16:26:54 2022 ] 	Training loss: 2.5645.  Training acc: 38.97%.
+[ Wed Aug 24 16:26:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:26:54 2022 ] Eval epoch: 6
+[ Wed Aug 24 16:27:22 2022 ] 	Mean test loss of 312 batches: 3.529851.
+[ Wed Aug 24 16:27:22 2022 ] 	Top1: 17.53%
+[ Wed Aug 24 16:27:22 2022 ] 	Top5: 43.92%
+[ Wed Aug 24 16:27:22 2022 ] Training epoch: 7
+[ Wed Aug 24 16:28:03 2022 ] 	Training loss: 2.4627.  Training acc: 42.47%.
+[ Wed Aug 24 16:28:03 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:28:03 2022 ] Eval epoch: 7
+[ Wed Aug 24 16:28:33 2022 ] 	Mean test loss of 312 batches: 3.639208.
+[ Wed Aug 24 16:28:33 2022 ] 	Top1: 14.44%
+[ Wed Aug 24 16:28:33 2022 ] 	Top5: 40.29%
+[ Wed Aug 24 16:28:33 2022 ] Training epoch: 8
+[ Wed Aug 24 16:29:12 2022 ] 	Training loss: 2.4154.  Training acc: 43.62%.
+[ Wed Aug 24 16:29:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:29:12 2022 ] Eval epoch: 8
+[ Wed Aug 24 16:29:59 2022 ] 	Mean test loss of 312 batches: 3.253851.
+[ Wed Aug 24 16:29:59 2022 ] 	Top1: 23.30%
+[ Wed Aug 24 16:29:59 2022 ] 	Top5: 53.80%
+[ Wed Aug 24 16:29:59 2022 ] Training epoch: 9
+[ Wed Aug 24 16:30:45 2022 ] 	Training loss: 2.3171.  Training acc: 46.47%.
+[ Wed Aug 24 16:30:45 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:30:45 2022 ] Eval epoch: 9
+[ Wed Aug 24 16:31:22 2022 ] 	Mean test loss of 312 batches: 3.340114.
+[ Wed Aug 24 16:31:23 2022 ] 	Top1: 20.98%
+[ Wed Aug 24 16:31:23 2022 ] 	Top5: 48.42%
+[ Wed Aug 24 16:31:23 2022 ] Training epoch: 10
+[ Wed Aug 24 16:32:10 2022 ] 	Training loss: 2.2816.  Training acc: 48.07%.
+[ Wed Aug 24 16:32:10 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:32:10 2022 ] Eval epoch: 10
+[ Wed Aug 24 16:32:50 2022 ] 	Mean test loss of 312 batches: 3.143224.
+[ Wed Aug 24 16:32:50 2022 ] 	Top1: 23.47%
+[ Wed Aug 24 16:32:50 2022 ] 	Top5: 52.84%
+[ Wed Aug 24 16:32:50 2022 ] Training epoch: 11
+[ Wed Aug 24 16:33:44 2022 ] 	Training loss: 2.2477.  Training acc: 48.34%.
+[ Wed Aug 24 16:33:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:33:44 2022 ] Eval epoch: 11
+[ Wed Aug 24 16:34:33 2022 ] 	Mean test loss of 312 batches: 3.196066.
+[ Wed Aug 24 16:34:33 2022 ] 	Top1: 21.82%
+[ Wed Aug 24 16:34:33 2022 ] 	Top5: 56.98%
+[ Wed Aug 24 16:34:33 2022 ] Training epoch: 12
+[ Wed Aug 24 16:35:22 2022 ] 	Training loss: 2.1825.  Training acc: 50.72%.
+[ Wed Aug 24 16:35:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:35:22 2022 ] Eval epoch: 12
+[ Wed Aug 24 16:36:25 2022 ] 	Mean test loss of 312 batches: 3.054443.
+[ Wed Aug 24 16:36:25 2022 ] 	Top1: 24.39%
+[ Wed Aug 24 16:36:26 2022 ] 	Top5: 57.50%
+[ Wed Aug 24 16:36:26 2022 ] Training epoch: 13
+[ Wed Aug 24 16:37:11 2022 ] 	Training loss: 2.1430.  Training acc: 51.54%.
+[ Wed Aug 24 16:37:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:37:11 2022 ] Eval epoch: 13
+[ Wed Aug 24 16:37:48 2022 ] 	Mean test loss of 312 batches: 2.882126.
+[ Wed Aug 24 16:37:48 2022 ] 	Top1: 27.52%
+[ Wed Aug 24 16:37:48 2022 ] 	Top5: 63.24%
+[ Wed Aug 24 16:37:48 2022 ] Training epoch: 14
+[ Wed Aug 24 16:38:42 2022 ] 	Training loss: 2.1172.  Training acc: 52.69%.
+[ Wed Aug 24 16:38:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:38:42 2022 ] Eval epoch: 14
+[ Wed Aug 24 16:39:36 2022 ] 	Mean test loss of 312 batches: 2.968468.
+[ Wed Aug 24 16:39:36 2022 ] 	Top1: 25.90%
+[ Wed Aug 24 16:39:36 2022 ] 	Top5: 60.57%
+[ Wed Aug 24 16:39:36 2022 ] Training epoch: 15
+[ Wed Aug 24 16:40:20 2022 ] 	Training loss: 2.0622.  Training acc: 55.20%.
+[ Wed Aug 24 16:40:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Wed Aug 24 16:40:20 2022 ] Eval epoch: 15
+[ Wed Aug 24 16:41:09 2022 ] 	Mean test loss of 312 batches: 2.852774.
+[ Wed Aug 24 16:41:09 2022 ] 	Top1: 30.39%
+[ Wed Aug 24 16:41:09 2022 ] 	Top5: 61.77%
+[ Wed Aug 24 16:41:10 2022 ] Training epoch: 16
+[ Wed Aug 24 16:41:56 2022 ] 	Training loss: 2.0313.  Training acc: 56.21%.
+[ Wed Aug 24 16:41:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:41:56 2022 ] Eval epoch: 16
+[ Wed Aug 24 16:42:59 2022 ] 	Mean test loss of 312 batches: 2.969699.
+[ Wed Aug 24 16:43:00 2022 ] 	Top1: 24.41%
+[ Wed Aug 24 16:43:00 2022 ] 	Top5: 64.55%
+[ Wed Aug 24 16:43:00 2022 ] Training epoch: 17
+[ Wed Aug 24 16:43:42 2022 ] 	Training loss: 2.0059.  Training acc: 56.98%.
+[ Wed Aug 24 16:43:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:43:42 2022 ] Eval epoch: 17
+[ Wed Aug 24 16:44:57 2022 ] 	Mean test loss of 312 batches: 2.796148.
+[ Wed Aug 24 16:44:57 2022 ] 	Top1: 32.20%
+[ Wed Aug 24 16:44:57 2022 ] 	Top5: 63.08%
+[ Wed Aug 24 16:44:58 2022 ] Training epoch: 18
+[ Wed Aug 24 16:45:40 2022 ] 	Training loss: 1.9341.  Training acc: 59.08%.
+[ Wed Aug 24 16:45:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:45:40 2022 ] Eval epoch: 18
+[ Wed Aug 24 16:46:25 2022 ] 	Mean test loss of 312 batches: 2.642167.
+[ Wed Aug 24 16:46:25 2022 ] 	Top1: 34.77%
+[ Wed Aug 24 16:46:25 2022 ] 	Top5: 69.37%
+[ Wed Aug 24 16:46:25 2022 ] Training epoch: 19
+[ Wed Aug 24 16:47:09 2022 ] 	Training loss: 1.9061.  Training acc: 60.59%.
+[ Wed Aug 24 16:47:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:47:09 2022 ] Eval epoch: 19
+[ Wed Aug 24 16:48:10 2022 ] 	Mean test loss of 312 batches: 2.795271.
+[ Wed Aug 24 16:48:10 2022 ] 	Top1: 29.73%
+[ Wed Aug 24 16:48:10 2022 ] 	Top5: 67.95%
+[ Wed Aug 24 16:48:10 2022 ] Training epoch: 20
+[ Wed Aug 24 16:48:56 2022 ] 	Training loss: 1.8790.  Training acc: 61.13%.
+[ Wed Aug 24 16:48:56 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 16:48:56 2022 ] Eval epoch: 20
+[ Wed Aug 24 16:49:57 2022 ] 	Mean test loss of 312 batches: 2.691739.
+[ Wed Aug 24 16:49:57 2022 ] 	Top1: 33.06%
+[ Wed Aug 24 16:49:57 2022 ] 	Top5: 67.08%
+[ Wed Aug 24 16:49:57 2022 ] Training epoch: 21
+[ Wed Aug 24 16:50:49 2022 ] 	Training loss: 1.8497.  Training acc: 62.03%.
+[ Wed Aug 24 16:50:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:50:49 2022 ] Eval epoch: 21
+[ Wed Aug 24 16:51:52 2022 ] 	Mean test loss of 312 batches: 2.654047.
+[ Wed Aug 24 16:51:52 2022 ] 	Top1: 34.39%
+[ Wed Aug 24 16:51:52 2022 ] 	Top5: 71.06%
+[ Wed Aug 24 16:51:52 2022 ] Training epoch: 22
+[ Wed Aug 24 16:52:33 2022 ] 	Training loss: 1.8238.  Training acc: 63.05%.
+[ Wed Aug 24 16:52:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:52:33 2022 ] Eval epoch: 22
+[ Wed Aug 24 16:53:51 2022 ] 	Mean test loss of 312 batches: 2.665375.
+[ Wed Aug 24 16:53:52 2022 ] 	Top1: 36.44%
+[ Wed Aug 24 16:53:52 2022 ] 	Top5: 67.29%
+[ Wed Aug 24 16:53:52 2022 ] Training epoch: 23
+[ Wed Aug 24 16:54:33 2022 ] 	Training loss: 1.7969.  Training acc: 63.87%.
+[ Wed Aug 24 16:54:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:54:33 2022 ] Eval epoch: 23
+[ Wed Aug 24 16:55:30 2022 ] 	Mean test loss of 312 batches: 2.618075.
+[ Wed Aug 24 16:55:30 2022 ] 	Top1: 36.76%
+[ Wed Aug 24 16:55:30 2022 ] 	Top5: 67.25%
+[ Wed Aug 24 16:55:30 2022 ] Training epoch: 24
+[ Wed Aug 24 16:56:16 2022 ] 	Training loss: 1.8015.  Training acc: 63.63%.
+[ Wed Aug 24 16:56:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:56:16 2022 ] Eval epoch: 24
+[ Wed Aug 24 16:57:20 2022 ] 	Mean test loss of 312 batches: 2.635313.
+[ Wed Aug 24 16:57:20 2022 ] 	Top1: 35.88%
+[ Wed Aug 24 16:57:20 2022 ] 	Top5: 73.35%
+[ Wed Aug 24 16:57:20 2022 ] Training epoch: 25
+[ Wed Aug 24 16:58:05 2022 ] 	Training loss: 1.7553.  Training acc: 65.87%.
+[ Wed Aug 24 16:58:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:58:05 2022 ] Eval epoch: 25
+[ Wed Aug 24 16:59:19 2022 ] 	Mean test loss of 312 batches: 2.471403.
+[ Wed Aug 24 16:59:19 2022 ] 	Top1: 40.14%
+[ Wed Aug 24 16:59:19 2022 ] 	Top5: 74.79%
+[ Wed Aug 24 16:59:20 2022 ] Training epoch: 26
+[ Wed Aug 24 17:00:09 2022 ] 	Training loss: 1.7545.  Training acc: 65.23%.
+[ Wed Aug 24 17:00:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:00:09 2022 ] Eval epoch: 26
+[ Wed Aug 24 17:01:15 2022 ] 	Mean test loss of 312 batches: 2.471432.
+[ Wed Aug 24 17:01:15 2022 ] 	Top1: 39.45%
+[ Wed Aug 24 17:01:15 2022 ] 	Top5: 75.48%
+[ Wed Aug 24 17:01:15 2022 ] Training epoch: 27
+[ Wed Aug 24 17:01:58 2022 ] 	Training loss: 1.7182.  Training acc: 66.42%.
+[ Wed Aug 24 17:01:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:01:58 2022 ] Eval epoch: 27
+[ Wed Aug 24 17:03:15 2022 ] 	Mean test loss of 312 batches: 2.470473.
+[ Wed Aug 24 17:03:15 2022 ] 	Top1: 40.00%
+[ Wed Aug 24 17:03:15 2022 ] 	Top5: 75.45%
+[ Wed Aug 24 17:03:15 2022 ] Training epoch: 28
+[ Wed Aug 24 17:03:53 2022 ] 	Training loss: 1.7011.  Training acc: 67.15%.
+[ Wed Aug 24 17:03:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:03:53 2022 ] Eval epoch: 28
+[ Wed Aug 24 17:05:07 2022 ] 	Mean test loss of 312 batches: 2.464103.
+[ Wed Aug 24 17:05:07 2022 ] 	Top1: 41.89%
+[ Wed Aug 24 17:05:07 2022 ] 	Top5: 73.45%
+[ Wed Aug 24 17:05:07 2022 ] Training epoch: 29
+[ Wed Aug 24 17:05:50 2022 ] 	Training loss: 1.6824.  Training acc: 67.87%.
+[ Wed Aug 24 17:05:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:05:50 2022 ] Eval epoch: 29
+[ Wed Aug 24 17:06:40 2022 ] 	Mean test loss of 312 batches: 2.623831.
+[ Wed Aug 24 17:06:40 2022 ] 	Top1: 39.09%
+[ Wed Aug 24 17:06:40 2022 ] 	Top5: 69.60%
+[ Wed Aug 24 17:06:40 2022 ] Training epoch: 30
+[ Wed Aug 24 17:07:24 2022 ] 	Training loss: 1.6665.  Training acc: 68.26%.
+[ Wed Aug 24 17:07:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:07:24 2022 ] Eval epoch: 30
+[ Wed Aug 24 17:08:28 2022 ] 	Mean test loss of 312 batches: 2.421301.
+[ Wed Aug 24 17:08:28 2022 ] 	Top1: 43.96%
+[ Wed Aug 24 17:08:28 2022 ] 	Top5: 75.34%
+[ Wed Aug 24 17:08:29 2022 ] Training epoch: 31
+[ Wed Aug 24 17:09:19 2022 ] 	Training loss: 1.6450.  Training acc: 69.10%.
+[ Wed Aug 24 17:09:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:09:19 2022 ] Eval epoch: 31
+[ Wed Aug 24 17:10:16 2022 ] 	Mean test loss of 312 batches: 2.396750.
+[ Wed Aug 24 17:10:16 2022 ] 	Top1: 41.82%
+[ Wed Aug 24 17:10:16 2022 ] 	Top5: 77.48%
+[ Wed Aug 24 17:10:17 2022 ] Training epoch: 32
+[ Wed Aug 24 17:11:06 2022 ] 	Training loss: 1.6082.  Training acc: 70.09%.
+[ Wed Aug 24 17:11:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:11:06 2022 ] Eval epoch: 32
+[ Wed Aug 24 17:12:14 2022 ] 	Mean test loss of 312 batches: 2.295178.
+[ Wed Aug 24 17:12:14 2022 ] 	Top1: 44.06%
+[ Wed Aug 24 17:12:15 2022 ] 	Top5: 80.67%
+[ Wed Aug 24 17:12:15 2022 ] Training epoch: 33
+[ Wed Aug 24 17:12:53 2022 ] 	Training loss: 1.6076.  Training acc: 70.80%.
+[ Wed Aug 24 17:12:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:12:53 2022 ] Eval epoch: 33
+[ Wed Aug 24 17:14:02 2022 ] 	Mean test loss of 312 batches: 2.298713.
+[ Wed Aug 24 17:14:02 2022 ] 	Top1: 44.88%
+[ Wed Aug 24 17:14:02 2022 ] 	Top5: 79.26%
+[ Wed Aug 24 17:14:02 2022 ] Training epoch: 34
+[ Wed Aug 24 17:14:49 2022 ] 	Training loss: 1.5902.  Training acc: 71.14%.
+[ Wed Aug 24 17:14:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:14:49 2022 ] Eval epoch: 34
+[ Wed Aug 24 17:15:37 2022 ] 	Mean test loss of 312 batches: 2.245786.
+[ Wed Aug 24 17:15:37 2022 ] 	Top1: 47.26%
+[ Wed Aug 24 17:15:37 2022 ] 	Top5: 81.12%
+[ Wed Aug 24 17:15:37 2022 ] Training epoch: 35
+[ Wed Aug 24 17:16:29 2022 ] 	Training loss: 1.5595.  Training acc: 72.36%.
+[ Wed Aug 24 17:16:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:16:29 2022 ] Eval epoch: 35
+[ Wed Aug 24 17:17:27 2022 ] 	Mean test loss of 312 batches: 2.450518.
+[ Wed Aug 24 17:17:27 2022 ] 	Top1: 40.75%
+[ Wed Aug 24 17:17:27 2022 ] 	Top5: 78.12%
+[ Wed Aug 24 17:17:27 2022 ] Training epoch: 36
+[ Wed Aug 24 17:18:13 2022 ] 	Training loss: 1.5384.  Training acc: 72.80%.
+[ Wed Aug 24 17:18:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:18:13 2022 ] Eval epoch: 36
+[ Wed Aug 24 17:18:57 2022 ] 	Mean test loss of 312 batches: 2.258785.
+[ Wed Aug 24 17:18:57 2022 ] 	Top1: 46.90%
+[ Wed Aug 24 17:18:58 2022 ] 	Top5: 81.21%
+[ Wed Aug 24 17:18:58 2022 ] Training epoch: 37
+[ Wed Aug 24 17:19:47 2022 ] 	Training loss: 1.5463.  Training acc: 72.35%.
+[ Wed Aug 24 17:19:47 2022 ] 	Time consumption: [Data]01%, [Network]98%
+[ Wed Aug 24 17:19:47 2022 ] Eval epoch: 37
+[ Wed Aug 24 17:20:55 2022 ] 	Mean test loss of 312 batches: 2.208264.
+[ Wed Aug 24 17:20:55 2022 ] 	Top1: 46.99%
+[ Wed Aug 24 17:20:55 2022 ] 	Top5: 83.40%
+[ Wed Aug 24 17:20:55 2022 ] Training epoch: 38
+[ Wed Aug 24 17:21:36 2022 ] 	Training loss: 1.5236.  Training acc: 73.40%.
+[ Wed Aug 24 17:21:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:21:36 2022 ] Eval epoch: 38
+[ Wed Aug 24 17:22:31 2022 ] 	Mean test loss of 312 batches: 2.332858.
+[ Wed Aug 24 17:22:31 2022 ] 	Top1: 45.07%
+[ Wed Aug 24 17:22:31 2022 ] 	Top5: 81.05%
+[ Wed Aug 24 17:22:31 2022 ] Training epoch: 39
+[ Wed Aug 24 17:23:24 2022 ] 	Training loss: 1.5029.  Training acc: 74.01%.
+[ Wed Aug 24 17:23:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:23:24 2022 ] Eval epoch: 39
+[ Wed Aug 24 17:24:03 2022 ] 	Mean test loss of 312 batches: 2.183275.
+[ Wed Aug 24 17:24:03 2022 ] 	Top1: 50.11%
+[ Wed Aug 24 17:24:03 2022 ] 	Top5: 85.11%
+[ Wed Aug 24 17:24:03 2022 ] Training epoch: 40
+[ Wed Aug 24 17:24:56 2022 ] 	Training loss: 1.4901.  Training acc: 74.39%.
+[ Wed Aug 24 17:24:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:24:56 2022 ] Eval epoch: 40
+[ Wed Aug 24 17:26:00 2022 ] 	Mean test loss of 312 batches: 2.167264.
+[ Wed Aug 24 17:26:01 2022 ] 	Top1: 49.15%
+[ Wed Aug 24 17:26:01 2022 ] 	Top5: 83.48%
+[ Wed Aug 24 17:26:01 2022 ] Training epoch: 41
+[ Wed Aug 24 17:26:49 2022 ] 	Training loss: 1.4806.  Training acc: 74.62%.
+[ Wed Aug 24 17:26:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:26:49 2022 ] Eval epoch: 41
+[ Wed Aug 24 17:27:44 2022 ] 	Mean test loss of 312 batches: 2.149547.
+[ Wed Aug 24 17:27:44 2022 ] 	Top1: 49.90%
+[ Wed Aug 24 17:27:44 2022 ] 	Top5: 85.04%
+[ Wed Aug 24 17:27:45 2022 ] Training epoch: 42
+[ Wed Aug 24 17:28:38 2022 ] 	Training loss: 1.4481.  Training acc: 75.63%.
+[ Wed Aug 24 17:28:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:28:38 2022 ] Eval epoch: 42
+[ Wed Aug 24 17:29:35 2022 ] 	Mean test loss of 312 batches: 2.215419.
+[ Wed Aug 24 17:29:35 2022 ] 	Top1: 49.35%
+[ Wed Aug 24 17:29:35 2022 ] 	Top5: 84.08%
+[ Wed Aug 24 17:29:35 2022 ] Training epoch: 43
+[ Wed Aug 24 17:30:26 2022 ] 	Training loss: 1.4580.  Training acc: 75.61%.
+[ Wed Aug 24 17:30:26 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:30:26 2022 ] Eval epoch: 43
+[ Wed Aug 24 17:31:01 2022 ] 	Mean test loss of 312 batches: 2.152938.
+[ Wed Aug 24 17:31:01 2022 ] 	Top1: 51.58%
+[ Wed Aug 24 17:31:01 2022 ] 	Top5: 86.76%
+[ Wed Aug 24 17:31:01 2022 ] Training epoch: 44
+[ Wed Aug 24 17:31:53 2022 ] 	Training loss: 1.4371.  Training acc: 76.17%.
+[ Wed Aug 24 17:31:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:31:53 2022 ] Eval epoch: 44
+[ Wed Aug 24 17:32:34 2022 ] 	Mean test loss of 312 batches: 2.311049.
+[ Wed Aug 24 17:32:34 2022 ] 	Top1: 46.43%
+[ Wed Aug 24 17:32:34 2022 ] 	Top5: 82.13%
+[ Wed Aug 24 17:32:34 2022 ] Training epoch: 45
+[ Wed Aug 24 17:33:16 2022 ] 	Training loss: 1.4181.  Training acc: 77.25%.
+[ Wed Aug 24 17:33:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:33:16 2022 ] Eval epoch: 45
+[ Wed Aug 24 17:34:09 2022 ] 	Mean test loss of 312 batches: 2.115439.
+[ Wed Aug 24 17:34:09 2022 ] 	Top1: 50.17%
+[ Wed Aug 24 17:34:09 2022 ] 	Top5: 86.75%
+[ Wed Aug 24 17:34:10 2022 ] Training epoch: 46
+[ Wed Aug 24 17:35:02 2022 ] 	Training loss: 1.4008.  Training acc: 77.80%.
+[ Wed Aug 24 17:35:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:35:02 2022 ] Eval epoch: 46
+[ Wed Aug 24 17:35:37 2022 ] 	Mean test loss of 312 batches: 2.030434.
+[ Wed Aug 24 17:35:37 2022 ] 	Top1: 55.37%
+[ Wed Aug 24 17:35:37 2022 ] 	Top5: 87.09%
+[ Wed Aug 24 17:35:38 2022 ] Training epoch: 47
+[ Wed Aug 24 17:36:29 2022 ] 	Training loss: 1.3901.  Training acc: 78.36%.
+[ Wed Aug 24 17:36:29 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:36:29 2022 ] Eval epoch: 47
+[ Wed Aug 24 17:37:23 2022 ] 	Mean test loss of 312 batches: 2.029513.
+[ Wed Aug 24 17:37:23 2022 ] 	Top1: 53.91%
+[ Wed Aug 24 17:37:24 2022 ] 	Top5: 88.75%
+[ Wed Aug 24 17:37:24 2022 ] Training epoch: 48
+[ Wed Aug 24 17:38:12 2022 ] 	Training loss: 1.3858.  Training acc: 78.18%.
+[ Wed Aug 24 17:38:12 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:38:12 2022 ] Eval epoch: 48
+[ Wed Aug 24 17:38:56 2022 ] 	Mean test loss of 312 batches: 1.996936.
+[ Wed Aug 24 17:38:56 2022 ] 	Top1: 54.74%
+[ Wed Aug 24 17:38:56 2022 ] 	Top5: 89.27%
+[ Wed Aug 24 17:38:56 2022 ] Training epoch: 49
+[ Wed Aug 24 17:39:47 2022 ] 	Training loss: 1.3758.  Training acc: 78.24%.
+[ Wed Aug 24 17:39:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:39:47 2022 ] Eval epoch: 49
+[ Wed Aug 24 17:40:42 2022 ] 	Mean test loss of 312 batches: 2.171679.
+[ Wed Aug 24 17:40:42 2022 ] 	Top1: 50.14%
+[ Wed Aug 24 17:40:42 2022 ] 	Top5: 85.80%
+[ Wed Aug 24 17:40:43 2022 ] Training epoch: 50
+[ Wed Aug 24 17:41:34 2022 ] 	Training loss: 1.3599.  Training acc: 78.84%.
+[ Wed Aug 24 17:41:34 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 17:41:34 2022 ] Eval epoch: 50
+[ Wed Aug 24 17:42:10 2022 ] 	Mean test loss of 312 batches: 2.104789.
+[ Wed Aug 24 17:42:10 2022 ] 	Top1: 53.25%
+[ Wed Aug 24 17:42:10 2022 ] 	Top5: 87.00%
+[ Wed Aug 24 17:42:11 2022 ] Training epoch: 51
+[ Wed Aug 24 17:43:02 2022 ] 	Training loss: 1.3664.  Training acc: 79.09%.
+[ Wed Aug 24 17:43:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:43:02 2022 ] Eval epoch: 51
+[ Wed Aug 24 17:44:01 2022 ] 	Mean test loss of 312 batches: 2.145687.
+[ Wed Aug 24 17:44:01 2022 ] 	Top1: 50.97%
+[ Wed Aug 24 17:44:01 2022 ] 	Top5: 86.32%
+[ Wed Aug 24 17:44:01 2022 ] Training epoch: 52
+[ Wed Aug 24 17:44:44 2022 ] 	Training loss: 1.3532.  Training acc: 79.24%.
+[ Wed Aug 24 17:44:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:44:44 2022 ] Eval epoch: 52
+[ Wed Aug 24 17:45:50 2022 ] 	Mean test loss of 312 batches: 1.985349.
+[ Wed Aug 24 17:45:50 2022 ] 	Top1: 56.70%
+[ Wed Aug 24 17:45:51 2022 ] 	Top5: 90.10%
+[ Wed Aug 24 17:45:51 2022 ] Training epoch: 53
+[ Wed Aug 24 17:46:47 2022 ] 	Training loss: 1.3535.  Training acc: 79.33%.
+[ Wed Aug 24 17:46:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:46:47 2022 ] Eval epoch: 53
+[ Wed Aug 24 17:47:29 2022 ] 	Mean test loss of 312 batches: 2.093987.
+[ Wed Aug 24 17:47:29 2022 ] 	Top1: 54.04%
+[ Wed Aug 24 17:47:29 2022 ] 	Top5: 87.67%
+[ Wed Aug 24 17:47:30 2022 ] Training epoch: 54
+[ Wed Aug 24 17:48:18 2022 ] 	Training loss: 1.3445.  Training acc: 79.42%.
+[ Wed Aug 24 17:48:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:48:18 2022 ] Eval epoch: 54
+[ Wed Aug 24 17:49:18 2022 ] 	Mean test loss of 312 batches: 1.993914.
+[ Wed Aug 24 17:49:18 2022 ] 	Top1: 55.75%
+[ Wed Aug 24 17:49:18 2022 ] 	Top5: 87.52%
+[ Wed Aug 24 17:49:18 2022 ] Training epoch: 55
+[ Wed Aug 24 17:50:08 2022 ] 	Training loss: 1.3244.  Training acc: 80.57%.
+[ Wed Aug 24 17:50:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:50:08 2022 ] Eval epoch: 55
+[ Wed Aug 24 17:51:00 2022 ] 	Mean test loss of 312 batches: 2.184828.
+[ Wed Aug 24 17:51:00 2022 ] 	Top1: 54.26%
+[ Wed Aug 24 17:51:00 2022 ] 	Top5: 86.79%
+[ Wed Aug 24 17:51:00 2022 ] Training epoch: 56
+[ Wed Aug 24 17:51:46 2022 ] 	Training loss: 1.3279.  Training acc: 80.06%.
+[ Wed Aug 24 17:51:46 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:51:46 2022 ] Eval epoch: 56
+[ Wed Aug 24 17:52:44 2022 ] 	Mean test loss of 312 batches: 2.075197.
+[ Wed Aug 24 17:52:44 2022 ] 	Top1: 54.65%
+[ Wed Aug 24 17:52:44 2022 ] 	Top5: 87.87%
+[ Wed Aug 24 17:52:44 2022 ] Training epoch: 57
+[ Wed Aug 24 17:53:25 2022 ] 	Training loss: 1.3247.  Training acc: 80.44%.
+[ Wed Aug 24 17:53:25 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:53:25 2022 ] Eval epoch: 57
+[ Wed Aug 24 17:54:07 2022 ] 	Mean test loss of 312 batches: 1.931672.
+[ Wed Aug 24 17:54:07 2022 ] 	Top1: 57.28%
+[ Wed Aug 24 17:54:07 2022 ] 	Top5: 91.62%
+[ Wed Aug 24 17:54:08 2022 ] Training epoch: 58
+[ Wed Aug 24 17:54:57 2022 ] 	Training loss: 1.2976.  Training acc: 81.45%.
+[ Wed Aug 24 17:54:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:54:57 2022 ] Eval epoch: 58
+[ Wed Aug 24 17:55:31 2022 ] 	Mean test loss of 312 batches: 1.910939.
+[ Wed Aug 24 17:55:31 2022 ] 	Top1: 57.04%
+[ Wed Aug 24 17:55:31 2022 ] 	Top5: 90.51%
+[ Wed Aug 24 17:55:31 2022 ] Training epoch: 59
+[ Wed Aug 24 17:56:14 2022 ] 	Training loss: 1.2980.  Training acc: 81.44%.
+[ Wed Aug 24 17:56:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:56:14 2022 ] Eval epoch: 59
+[ Wed Aug 24 17:57:23 2022 ] 	Mean test loss of 312 batches: 1.993825.
+[ Wed Aug 24 17:57:23 2022 ] 	Top1: 56.67%
+[ Wed Aug 24 17:57:23 2022 ] 	Top5: 89.28%
+[ Wed Aug 24 17:57:23 2022 ] Training epoch: 60
+[ Wed Aug 24 17:58:11 2022 ] 	Training loss: 1.3060.  Training acc: 80.78%.
+[ Wed Aug 24 17:58:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:58:11 2022 ] Eval epoch: 60
+[ Wed Aug 24 17:59:02 2022 ] 	Mean test loss of 312 batches: 1.959501.
+[ Wed Aug 24 17:59:02 2022 ] 	Top1: 56.02%
+[ Wed Aug 24 17:59:02 2022 ] 	Top5: 89.75%
+[ Wed Aug 24 17:59:02 2022 ] Training epoch: 61
+[ Wed Aug 24 17:59:55 2022 ] 	Training loss: 1.2950.  Training acc: 81.72%.
+[ Wed Aug 24 17:59:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:59:55 2022 ] Eval epoch: 61
+[ Wed Aug 24 18:00:35 2022 ] 	Mean test loss of 312 batches: 1.960182.
+[ Wed Aug 24 18:00:35 2022 ] 	Top1: 58.51%
+[ Wed Aug 24 18:00:36 2022 ] 	Top5: 88.88%
+[ Wed Aug 24 18:00:36 2022 ] Training epoch: 62
+[ Wed Aug 24 18:01:20 2022 ] 	Training loss: 1.2711.  Training acc: 82.35%.
+[ Wed Aug 24 18:01:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:01:20 2022 ] Eval epoch: 62
+[ Wed Aug 24 18:01:57 2022 ] 	Mean test loss of 312 batches: 1.935468.
+[ Wed Aug 24 18:01:57 2022 ] 	Top1: 58.55%
+[ Wed Aug 24 18:01:57 2022 ] 	Top5: 90.00%
+[ Wed Aug 24 18:01:57 2022 ] Training epoch: 63
+[ Wed Aug 24 18:02:51 2022 ] 	Training loss: 1.2721.  Training acc: 82.12%.
+[ Wed Aug 24 18:02:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:02:51 2022 ] Eval epoch: 63
+[ Wed Aug 24 18:03:38 2022 ] 	Mean test loss of 312 batches: 1.933137.
+[ Wed Aug 24 18:03:38 2022 ] 	Top1: 58.46%
+[ Wed Aug 24 18:03:38 2022 ] 	Top5: 89.83%
+[ Wed Aug 24 18:03:39 2022 ] Training epoch: 64
+[ Wed Aug 24 18:04:28 2022 ] 	Training loss: 1.2503.  Training acc: 83.15%.
+[ Wed Aug 24 18:04:28 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:04:28 2022 ] Eval epoch: 64
+[ Wed Aug 24 18:05:06 2022 ] 	Mean test loss of 312 batches: 2.014748.
+[ Wed Aug 24 18:05:06 2022 ] 	Top1: 57.04%
+[ Wed Aug 24 18:05:06 2022 ] 	Top5: 88.05%
+[ Wed Aug 24 18:05:06 2022 ] Training epoch: 65
+[ Wed Aug 24 18:06:05 2022 ] 	Training loss: 1.2596.  Training acc: 82.62%.
+[ Wed Aug 24 18:06:05 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:06:05 2022 ] Eval epoch: 65
+[ Wed Aug 24 18:06:54 2022 ] 	Mean test loss of 312 batches: 1.955008.
+[ Wed Aug 24 18:06:55 2022 ] 	Top1: 58.75%
+[ Wed Aug 24 18:06:55 2022 ] 	Top5: 90.61%
+[ Wed Aug 24 18:06:55 2022 ] Training epoch: 66
+[ Wed Aug 24 18:07:39 2022 ] 	Training loss: 1.2651.  Training acc: 82.06%.
+[ Wed Aug 24 18:07:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:07:39 2022 ] Eval epoch: 66
+[ Wed Aug 24 18:08:43 2022 ] 	Mean test loss of 312 batches: 2.047982.
+[ Wed Aug 24 18:08:43 2022 ] 	Top1: 53.45%
+[ Wed Aug 24 18:08:43 2022 ] 	Top5: 88.61%
+[ Wed Aug 24 18:08:43 2022 ] Training epoch: 67
+[ Wed Aug 24 18:09:32 2022 ] 	Training loss: 1.2490.  Training acc: 83.00%.
+[ Wed Aug 24 18:09:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:09:32 2022 ] Eval epoch: 67
+[ Wed Aug 24 18:10:08 2022 ] 	Mean test loss of 312 batches: 1.953122.
+[ Wed Aug 24 18:10:08 2022 ] 	Top1: 57.08%
+[ Wed Aug 24 18:10:08 2022 ] 	Top5: 89.95%
+[ Wed Aug 24 18:10:08 2022 ] Training epoch: 68
+[ Wed Aug 24 18:10:59 2022 ] 	Training loss: 1.2445.  Training acc: 82.86%.
+[ Wed Aug 24 18:10:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:10:59 2022 ] Eval epoch: 68
+[ Wed Aug 24 18:11:53 2022 ] 	Mean test loss of 312 batches: 1.897820.
+[ Wed Aug 24 18:11:53 2022 ] 	Top1: 60.35%
+[ Wed Aug 24 18:11:53 2022 ] 	Top5: 90.99%
+[ Wed Aug 24 18:11:53 2022 ] Training epoch: 69
+[ Wed Aug 24 18:12:44 2022 ] 	Training loss: 1.2421.  Training acc: 83.39%.
+[ Wed Aug 24 18:12:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:12:44 2022 ] Eval epoch: 69
+[ Wed Aug 24 18:13:22 2022 ] 	Mean test loss of 312 batches: 1.963586.
+[ Wed Aug 24 18:13:22 2022 ] 	Top1: 57.95%
+[ Wed Aug 24 18:13:22 2022 ] 	Top5: 89.79%
+[ Wed Aug 24 18:13:22 2022 ] Training epoch: 70
+[ Wed Aug 24 18:14:11 2022 ] 	Training loss: 1.2468.  Training acc: 82.80%.
+[ Wed Aug 24 18:14:11 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:14:11 2022 ] Eval epoch: 70
+[ Wed Aug 24 18:15:20 2022 ] 	Mean test loss of 312 batches: 2.008227.
+[ Wed Aug 24 18:15:20 2022 ] 	Top1: 55.49%
+[ Wed Aug 24 18:15:20 2022 ] 	Top5: 89.55%
+[ Wed Aug 24 18:15:20 2022 ] Training epoch: 71
+[ Wed Aug 24 18:16:04 2022 ] 	Training loss: 1.2353.  Training acc: 83.38%.
+[ Wed Aug 24 18:16:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:16:04 2022 ] Eval epoch: 71
+[ Wed Aug 24 18:16:48 2022 ] 	Mean test loss of 312 batches: 1.907907.
+[ Wed Aug 24 18:16:49 2022 ] 	Top1: 58.10%
+[ Wed Aug 24 18:16:49 2022 ] 	Top5: 90.67%
+[ Wed Aug 24 18:16:49 2022 ] Training epoch: 72
+[ Wed Aug 24 18:17:42 2022 ] 	Training loss: 1.2162.  Training acc: 84.25%.
+[ Wed Aug 24 18:17:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:17:42 2022 ] Eval epoch: 72
+[ Wed Aug 24 18:18:26 2022 ] 	Mean test loss of 312 batches: 1.891921.
+[ Wed Aug 24 18:18:26 2022 ] 	Top1: 60.85%
+[ Wed Aug 24 18:18:26 2022 ] 	Top5: 90.61%
+[ Wed Aug 24 18:18:27 2022 ] Training epoch: 73
+[ Wed Aug 24 18:19:09 2022 ] 	Training loss: 1.2180.  Training acc: 84.58%.
+[ Wed Aug 24 18:19:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:19:09 2022 ] Eval epoch: 73
+[ Wed Aug 24 18:19:58 2022 ] 	Mean test loss of 312 batches: 1.941562.
+[ Wed Aug 24 18:19:58 2022 ] 	Top1: 60.24%
+[ Wed Aug 24 18:19:58 2022 ] 	Top5: 91.74%
+[ Wed Aug 24 18:19:58 2022 ] Training epoch: 74
+[ Wed Aug 24 18:20:38 2022 ] 	Training loss: 1.2211.  Training acc: 84.00%.
+[ Wed Aug 24 18:20:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:20:38 2022 ] Eval epoch: 74
+[ Wed Aug 24 18:21:25 2022 ] 	Mean test loss of 312 batches: 1.824902.
+[ Wed Aug 24 18:21:25 2022 ] 	Top1: 63.12%
+[ Wed Aug 24 18:21:25 2022 ] 	Top5: 92.12%
+[ Wed Aug 24 18:21:26 2022 ] Training epoch: 75
+[ Wed Aug 24 18:22:11 2022 ] 	Training loss: 1.2113.  Training acc: 84.36%.
+[ Wed Aug 24 18:22:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:22:11 2022 ] Eval epoch: 75
+[ Wed Aug 24 18:23:07 2022 ] 	Mean test loss of 312 batches: 1.909262.
+[ Wed Aug 24 18:23:07 2022 ] 	Top1: 61.13%
+[ Wed Aug 24 18:23:07 2022 ] 	Top5: 90.74%
+[ Wed Aug 24 18:23:07 2022 ] Training epoch: 76
+[ Wed Aug 24 18:23:56 2022 ] 	Training loss: 1.2098.  Training acc: 84.58%.
+[ Wed Aug 24 18:23:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:23:56 2022 ] Eval epoch: 76
+[ Wed Aug 24 18:24:33 2022 ] 	Mean test loss of 312 batches: 1.878416.
+[ Wed Aug 24 18:24:33 2022 ] 	Top1: 60.11%
+[ Wed Aug 24 18:24:33 2022 ] 	Top5: 91.61%
+[ Wed Aug 24 18:24:33 2022 ] Training epoch: 77
+[ Wed Aug 24 18:25:21 2022 ] 	Training loss: 1.1812.  Training acc: 85.82%.
+[ Wed Aug 24 18:25:21 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 18:25:21 2022 ] Eval epoch: 77
+[ Wed Aug 24 18:26:25 2022 ] 	Mean test loss of 312 batches: 1.969920.
+[ Wed Aug 24 18:26:25 2022 ] 	Top1: 58.03%
+[ Wed Aug 24 18:26:25 2022 ] 	Top5: 89.99%
+[ Wed Aug 24 18:26:25 2022 ] Training epoch: 78
+[ Wed Aug 24 18:27:06 2022 ] 	Training loss: 1.1853.  Training acc: 85.53%.
+[ Wed Aug 24 18:27:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:27:06 2022 ] Eval epoch: 78
+[ Wed Aug 24 18:28:04 2022 ] 	Mean test loss of 312 batches: 1.883371.
+[ Wed Aug 24 18:28:04 2022 ] 	Top1: 60.50%
+[ Wed Aug 24 18:28:04 2022 ] 	Top5: 90.13%
+[ Wed Aug 24 18:28:04 2022 ] Training epoch: 79
+[ Wed Aug 24 18:28:49 2022 ] 	Training loss: 1.1820.  Training acc: 85.66%.
+[ Wed Aug 24 18:28:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:28:49 2022 ] Eval epoch: 79
+[ Wed Aug 24 18:29:26 2022 ] 	Mean test loss of 312 batches: 1.935842.
+[ Wed Aug 24 18:29:26 2022 ] 	Top1: 60.27%
+[ Wed Aug 24 18:29:26 2022 ] 	Top5: 91.51%
+[ Wed Aug 24 18:29:26 2022 ] Training epoch: 80
+[ Wed Aug 24 18:30:08 2022 ] 	Training loss: 1.1811.  Training acc: 85.76%.
+[ Wed Aug 24 18:30:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:30:08 2022 ] Eval epoch: 80
+[ Wed Aug 24 18:30:56 2022 ] 	Mean test loss of 312 batches: 1.900947.
+[ Wed Aug 24 18:30:56 2022 ] 	Top1: 60.97%
+[ Wed Aug 24 18:30:56 2022 ] 	Top5: 89.86%
+[ Wed Aug 24 18:30:57 2022 ] Training epoch: 81
+[ Wed Aug 24 18:31:49 2022 ] 	Training loss: 1.1733.  Training acc: 85.86%.
+[ Wed Aug 24 18:31:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:31:49 2022 ] Eval epoch: 81
+[ Wed Aug 24 18:32:35 2022 ] 	Mean test loss of 312 batches: 1.979761.
+[ Wed Aug 24 18:32:35 2022 ] 	Top1: 60.37%
+[ Wed Aug 24 18:32:35 2022 ] 	Top5: 88.57%
+[ Wed Aug 24 18:32:35 2022 ] Training epoch: 82
+[ Wed Aug 24 18:33:16 2022 ] 	Training loss: 1.1563.  Training acc: 86.63%.
+[ Wed Aug 24 18:33:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:33:16 2022 ] Eval epoch: 82
+[ Wed Aug 24 18:34:22 2022 ] 	Mean test loss of 312 batches: 1.913502.
+[ Wed Aug 24 18:34:22 2022 ] 	Top1: 60.73%
+[ Wed Aug 24 18:34:22 2022 ] 	Top5: 91.70%
+[ Wed Aug 24 18:34:22 2022 ] Training epoch: 83
+[ Wed Aug 24 18:35:06 2022 ] 	Training loss: 1.1670.  Training acc: 86.59%.
+[ Wed Aug 24 18:35:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:35:06 2022 ] Eval epoch: 83
+[ Wed Aug 24 18:35:44 2022 ] 	Mean test loss of 312 batches: 1.877670.
+[ Wed Aug 24 18:35:44 2022 ] 	Top1: 61.61%
+[ Wed Aug 24 18:35:44 2022 ] 	Top5: 90.18%
+[ Wed Aug 24 18:35:44 2022 ] Training epoch: 84
+[ Wed Aug 24 18:36:35 2022 ] 	Training loss: 1.1597.  Training acc: 86.80%.
+[ Wed Aug 24 18:36:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:36:35 2022 ] Eval epoch: 84
+[ Wed Aug 24 18:37:20 2022 ] 	Mean test loss of 312 batches: 1.982641.
+[ Wed Aug 24 18:37:21 2022 ] 	Top1: 57.35%
+[ Wed Aug 24 18:37:21 2022 ] 	Top5: 89.18%
+[ Wed Aug 24 18:37:21 2022 ] Training epoch: 85
+[ Wed Aug 24 18:38:05 2022 ] 	Training loss: 1.1440.  Training acc: 87.03%.
+[ Wed Aug 24 18:38:05 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:38:05 2022 ] Eval epoch: 85
+[ Wed Aug 24 18:38:47 2022 ] 	Mean test loss of 312 batches: 1.888045.
+[ Wed Aug 24 18:38:47 2022 ] 	Top1: 61.49%
+[ Wed Aug 24 18:38:48 2022 ] 	Top5: 91.19%
+[ Wed Aug 24 18:38:48 2022 ] Training epoch: 86
+[ Wed Aug 24 18:39:34 2022 ] 	Training loss: 1.1486.  Training acc: 87.21%.
+[ Wed Aug 24 18:39:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:39:34 2022 ] Eval epoch: 86
+[ Wed Aug 24 18:40:24 2022 ] 	Mean test loss of 312 batches: 2.017632.
+[ Wed Aug 24 18:40:24 2022 ] 	Top1: 55.28%
+[ Wed Aug 24 18:40:25 2022 ] 	Top5: 89.58%
+[ Wed Aug 24 18:40:25 2022 ] Training epoch: 87
+[ Wed Aug 24 18:41:11 2022 ] 	Training loss: 1.1334.  Training acc: 87.49%.
+[ Wed Aug 24 18:41:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:41:11 2022 ] Eval epoch: 87
+[ Wed Aug 24 18:41:56 2022 ] 	Mean test loss of 312 batches: 1.959484.
+[ Wed Aug 24 18:41:56 2022 ] 	Top1: 60.84%
+[ Wed Aug 24 18:41:56 2022 ] 	Top5: 90.44%
+[ Wed Aug 24 18:41:56 2022 ] Training epoch: 88
+[ Wed Aug 24 18:42:48 2022 ] 	Training loss: 1.1336.  Training acc: 87.47%.
+[ Wed Aug 24 18:42:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:42:48 2022 ] Eval epoch: 88
+[ Wed Aug 24 18:43:27 2022 ] 	Mean test loss of 312 batches: 1.926062.
+[ Wed Aug 24 18:43:27 2022 ] 	Top1: 60.10%
+[ Wed Aug 24 18:43:27 2022 ] 	Top5: 90.01%
+[ Wed Aug 24 18:43:27 2022 ] Training epoch: 89
+[ Wed Aug 24 18:44:14 2022 ] 	Training loss: 1.1287.  Training acc: 87.87%.
+[ Wed Aug 24 18:44:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:44:14 2022 ] Eval epoch: 89
+[ Wed Aug 24 18:45:06 2022 ] 	Mean test loss of 312 batches: 2.328285.
+[ Wed Aug 24 18:45:06 2022 ] 	Top1: 48.82%
+[ Wed Aug 24 18:45:06 2022 ] 	Top5: 82.15%
+[ Wed Aug 24 18:45:06 2022 ] Training epoch: 90
+[ Wed Aug 24 18:45:56 2022 ] 	Training loss: 1.1349.  Training acc: 87.51%.
+[ Wed Aug 24 18:45:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:45:56 2022 ] Eval epoch: 90
+[ Wed Aug 24 18:46:26 2022 ] 	Mean test loss of 312 batches: 1.778057.
+[ Wed Aug 24 18:46:26 2022 ] 	Top1: 65.59%
+[ Wed Aug 24 18:46:26 2022 ] 	Top5: 92.08%
+[ Wed Aug 24 18:46:26 2022 ] Training epoch: 91
+[ Wed Aug 24 18:47:17 2022 ] 	Training loss: 1.0081.  Training acc: 93.26%.
+[ Wed Aug 24 18:47:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:47:17 2022 ] Eval epoch: 91
+[ Wed Aug 24 18:47:54 2022 ] 	Mean test loss of 312 batches: 1.623798.
+[ Wed Aug 24 18:47:54 2022 ] 	Top1: 70.59%
+[ Wed Aug 24 18:47:55 2022 ] 	Top5: 94.55%
+[ Wed Aug 24 18:47:55 2022 ] Training epoch: 92
+[ Wed Aug 24 18:48:39 2022 ] 	Training loss: 0.9620.  Training acc: 94.53%.
+[ Wed Aug 24 18:48:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:48:39 2022 ] Eval epoch: 92
+[ Wed Aug 24 18:49:21 2022 ] 	Mean test loss of 312 batches: 1.595781.
+[ Wed Aug 24 18:49:21 2022 ] 	Top1: 71.71%
+[ Wed Aug 24 18:49:22 2022 ] 	Top5: 94.94%
+[ Wed Aug 24 18:49:22 2022 ] Training epoch: 93
+[ Wed Aug 24 18:50:12 2022 ] 	Training loss: 0.9387.  Training acc: 95.53%.
+[ Wed Aug 24 18:50:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:50:12 2022 ] Eval epoch: 93
+[ Wed Aug 24 18:51:01 2022 ] 	Mean test loss of 312 batches: 1.581733.
+[ Wed Aug 24 18:51:01 2022 ] 	Top1: 72.68%
+[ Wed Aug 24 18:51:01 2022 ] 	Top5: 94.80%
+[ Wed Aug 24 18:51:02 2022 ] Training epoch: 94
+[ Wed Aug 24 18:51:48 2022 ] 	Training loss: 0.9342.  Training acc: 95.54%.
+[ Wed Aug 24 18:51:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:51:48 2022 ] Eval epoch: 94
+[ Wed Aug 24 18:52:25 2022 ] 	Mean test loss of 312 batches: 1.597388.
+[ Wed Aug 24 18:52:26 2022 ] 	Top1: 71.96%
+[ Wed Aug 24 18:52:26 2022 ] 	Top5: 94.94%
+[ Wed Aug 24 18:52:26 2022 ] Training epoch: 95
+[ Wed Aug 24 18:53:21 2022 ] 	Training loss: 0.9260.  Training acc: 96.03%.
+[ Wed Aug 24 18:53:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:53:21 2022 ] Eval epoch: 95
+[ Wed Aug 24 18:54:10 2022 ] 	Mean test loss of 312 batches: 1.611404.
+[ Wed Aug 24 18:54:10 2022 ] 	Top1: 71.87%
+[ Wed Aug 24 18:54:10 2022 ] 	Top5: 94.31%
+[ Wed Aug 24 18:54:10 2022 ] Training epoch: 96
+[ Wed Aug 24 18:54:53 2022 ] 	Training loss: 0.9176.  Training acc: 96.17%.
+[ Wed Aug 24 18:54:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:54:53 2022 ] Eval epoch: 96
+[ Wed Aug 24 18:55:45 2022 ] 	Mean test loss of 312 batches: 1.586784.
+[ Wed Aug 24 18:55:45 2022 ] 	Top1: 72.83%
+[ Wed Aug 24 18:55:45 2022 ] 	Top5: 94.56%
+[ Wed Aug 24 18:55:45 2022 ] Training epoch: 97
+[ Wed Aug 24 18:56:30 2022 ] 	Training loss: 0.9085.  Training acc: 96.62%.
+[ Wed Aug 24 18:56:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:56:30 2022 ] Eval epoch: 97
+[ Wed Aug 24 18:57:07 2022 ] 	Mean test loss of 312 batches: 1.575581.
+[ Wed Aug 24 18:57:07 2022 ] 	Top1: 73.20%
+[ Wed Aug 24 18:57:08 2022 ] 	Top5: 94.73%
+[ Wed Aug 24 18:57:08 2022 ] Training epoch: 98
+[ Wed Aug 24 18:57:54 2022 ] 	Training loss: 0.8986.  Training acc: 97.17%.
+[ Wed Aug 24 18:57:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:57:54 2022 ] Eval epoch: 98
+[ Wed Aug 24 18:58:43 2022 ] 	Mean test loss of 312 batches: 1.583669.
+[ Wed Aug 24 18:58:43 2022 ] 	Top1: 72.87%
+[ Wed Aug 24 18:58:43 2022 ] 	Top5: 94.64%
+[ Wed Aug 24 18:58:43 2022 ] Training epoch: 99
+[ Wed Aug 24 18:59:32 2022 ] 	Training loss: 0.8942.  Training acc: 97.03%.
+[ Wed Aug 24 18:59:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:59:32 2022 ] Eval epoch: 99
+[ Wed Aug 24 19:00:13 2022 ] 	Mean test loss of 312 batches: 1.596903.
+[ Wed Aug 24 19:00:13 2022 ] 	Top1: 72.43%
+[ Wed Aug 24 19:00:13 2022 ] 	Top5: 94.61%
+[ Wed Aug 24 19:00:13 2022 ] Training epoch: 100
+[ Wed Aug 24 19:00:58 2022 ] 	Training loss: 0.8922.  Training acc: 96.99%.
+[ Wed Aug 24 19:00:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:00:59 2022 ] Eval epoch: 100
+[ Wed Aug 24 19:02:03 2022 ] 	Mean test loss of 312 batches: 1.594476.
+[ Wed Aug 24 19:02:04 2022 ] 	Top1: 72.34%
+[ Wed Aug 24 19:02:04 2022 ] 	Top5: 94.73%
+[ Wed Aug 24 19:02:04 2022 ] Training epoch: 101
+[ Wed Aug 24 19:02:45 2022 ] 	Training loss: 0.8853.  Training acc: 97.55%.
+[ Wed Aug 24 19:02:45 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:02:45 2022 ] Eval epoch: 101
+[ Wed Aug 24 19:03:25 2022 ] 	Mean test loss of 312 batches: 1.581385.
+[ Wed Aug 24 19:03:25 2022 ] 	Top1: 73.00%
+[ Wed Aug 24 19:03:26 2022 ] 	Top5: 94.75%
+[ Wed Aug 24 19:03:26 2022 ] Training epoch: 102
+[ Wed Aug 24 19:04:17 2022 ] 	Training loss: 0.8808.  Training acc: 97.75%.
+[ Wed Aug 24 19:04:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:04:17 2022 ] Eval epoch: 102
+[ Wed Aug 24 19:05:05 2022 ] 	Mean test loss of 312 batches: 1.581708.
+[ Wed Aug 24 19:05:05 2022 ] 	Top1: 73.08%
+[ Wed Aug 24 19:05:05 2022 ] 	Top5: 94.79%
+[ Wed Aug 24 19:05:05 2022 ] Training epoch: 103
+[ Wed Aug 24 19:05:45 2022 ] 	Training loss: 0.8825.  Training acc: 97.57%.
+[ Wed Aug 24 19:05:45 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:05:45 2022 ] Eval epoch: 103
+[ Wed Aug 24 19:06:27 2022 ] 	Mean test loss of 312 batches: 1.578422.
+[ Wed Aug 24 19:06:28 2022 ] 	Top1: 73.18%
+[ Wed Aug 24 19:06:28 2022 ] 	Top5: 94.79%
+[ Wed Aug 24 19:06:28 2022 ] Training epoch: 104
+[ Wed Aug 24 19:07:09 2022 ] 	Training loss: 0.8753.  Training acc: 97.96%.
+[ Wed Aug 24 19:07:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:07:09 2022 ] Eval epoch: 104
+[ Wed Aug 24 19:07:53 2022 ] 	Mean test loss of 312 batches: 1.579774.
+[ Wed Aug 24 19:07:54 2022 ] 	Top1: 73.23%
+[ Wed Aug 24 19:07:54 2022 ] 	Top5: 94.78%
+[ Wed Aug 24 19:07:54 2022 ] Training epoch: 105
+[ Wed Aug 24 19:08:39 2022 ] 	Training loss: 0.8756.  Training acc: 97.76%.
+[ Wed Aug 24 19:08:39 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:08:39 2022 ] Eval epoch: 105
+[ Wed Aug 24 19:09:29 2022 ] 	Mean test loss of 312 batches: 1.576551.
+[ Wed Aug 24 19:09:29 2022 ] 	Top1: 73.40%
+[ Wed Aug 24 19:09:30 2022 ] 	Top5: 94.79%
+[ Wed Aug 24 19:09:30 2022 ] Training epoch: 106
+[ Wed Aug 24 19:10:22 2022 ] 	Training loss: 0.8821.  Training acc: 97.50%.
+[ Wed Aug 24 19:10:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:10:22 2022 ] Eval epoch: 106
+[ Wed Aug 24 19:11:01 2022 ] 	Mean test loss of 312 batches: 1.577383.
+[ Wed Aug 24 19:11:01 2022 ] 	Top1: 73.44%
+[ Wed Aug 24 19:11:01 2022 ] 	Top5: 94.76%
+[ Wed Aug 24 19:11:01 2022 ] Training epoch: 107
+[ Wed Aug 24 19:11:49 2022 ] 	Training loss: 0.8742.  Training acc: 97.77%.
+[ Wed Aug 24 19:11:49 2022 ] 	Time consumption: [Data]01%, [Network]99%
+[ Wed Aug 24 19:11:49 2022 ] Eval epoch: 107
+[ Wed Aug 24 19:12:55 2022 ] 	Mean test loss of 312 batches: 1.578141.
+[ Wed Aug 24 19:12:55 2022 ] 	Top1: 73.21%
+[ Wed Aug 24 19:12:55 2022 ] 	Top5: 94.74%
+[ Wed Aug 24 19:12:55 2022 ] Training epoch: 108
+[ Wed Aug 24 19:13:35 2022 ] 	Training loss: 0.8765.  Training acc: 97.71%.
+[ Wed Aug 24 19:13:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:13:35 2022 ] Eval epoch: 108
+[ Wed Aug 24 19:14:09 2022 ] 	Mean test loss of 312 batches: 1.579891.
+[ Wed Aug 24 19:14:09 2022 ] 	Top1: 73.27%
+[ Wed Aug 24 19:14:09 2022 ] 	Top5: 94.71%
+[ Wed Aug 24 19:14:09 2022 ] Training epoch: 109
+[ Wed Aug 24 19:14:49 2022 ] 	Training loss: 0.8749.  Training acc: 98.00%.
+[ Wed Aug 24 19:14:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:14:49 2022 ] Eval epoch: 109
+[ Wed Aug 24 19:15:20 2022 ] 	Mean test loss of 312 batches: 1.574141.
+[ Wed Aug 24 19:15:21 2022 ] 	Top1: 73.51%
+[ Wed Aug 24 19:15:21 2022 ] 	Top5: 94.87%
+[ Wed Aug 24 19:15:21 2022 ] Training epoch: 110
+[ Wed Aug 24 19:15:59 2022 ] 	Training loss: 0.8739.  Training acc: 97.68%.
+[ Wed Aug 24 19:15:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:15:59 2022 ] Eval epoch: 110
+[ Wed Aug 24 19:16:31 2022 ] 	Mean test loss of 312 batches: 1.574161.
+[ Wed Aug 24 19:16:32 2022 ] 	Top1: 73.22%
+[ Wed Aug 24 19:16:32 2022 ] 	Top5: 94.83%

ckpt/Others/InfoGCN/ntu_60_xview_LT/jm/best_score.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:36fb564cb6bf63af50126ff3fce058d9b45306a6c875025dec4ea8404c16ab9b
+size 5347532

ckpt/Others/InfoGCN/ntu_60_xview_LT/jm/log.txt

@@ -0,0 +1,775 @@
+[ Wed Aug 24 16:21:37 2022 ] using warm up, epoch: 5
+[ Wed Aug 24 16:22:30 2022 ] Parameters:
+{'debug': False, 'log_dir': '.', 'model_saved_name': '', 'noise_ratio': 0.5, 'n_desired': 40000, 'num_point': 25, 'num_person': 2, 'num_class': 60, 'dataset': '/data/lhd/long_tailed_skeleton_data/Info-GCN-data/ntu/NTU60_CV_exp_100_aligned.npz', 'datacase': 'CS', 'use_vel': True, 'phase': 'train', 'save_score': False, 'work_dir': './work_dirs/ntu_60_xview_LT/jm', 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 60, 'eval_interval': 5, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 4, 'balanced_sampling': False, 'random_rot': True, 'repeat': 1, 'weights': None, 'ignore_weights': [], 'n_heads': 3, 'k': 8, 'z_prior_gain': 3, 'graph': 'graph.ntu_rgb_d.Graph', 'base_lr': 0.1, 'step': [90, 100], 'optimizer': 'SGD', 'nesterov': True, 'batch_size': 128, 'test_batch_size': 128, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0005, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5, 'lambda_1': 0.0001, 'lambda_2': 0.1, 'half': True, 'amp_opt_level': 1}
+
+[ Wed Aug 24 16:22:30 2022 ] # Parameters: 1556807
+[ Wed Aug 24 16:22:30 2022 ] Training epoch: 1
+[ Wed Aug 24 16:23:08 2022 ] 	Training loss: 7.1835.  Training acc: 7.17%.
+[ Wed Aug 24 16:23:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:23:08 2022 ] Eval epoch: 1
+[ Wed Aug 24 16:23:34 2022 ] 	Mean test loss of 312 batches: 5.150404.
+[ Wed Aug 24 16:23:34 2022 ] 	Top1: 2.67%
+[ Wed Aug 24 16:23:34 2022 ] 	Top5: 11.39%
+[ Wed Aug 24 16:23:34 2022 ] Training epoch: 2
+[ Wed Aug 24 16:24:09 2022 ] 	Training loss: 3.9994.  Training acc: 13.33%.
+[ Wed Aug 24 16:24:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:24:09 2022 ] Eval epoch: 2
+[ Wed Aug 24 16:24:36 2022 ] 	Mean test loss of 312 batches: 5.547101.
+[ Wed Aug 24 16:24:36 2022 ] 	Top1: 6.51%
+[ Wed Aug 24 16:24:36 2022 ] 	Top5: 15.44%
+[ Wed Aug 24 16:24:36 2022 ] Training epoch: 3
+[ Wed Aug 24 16:25:12 2022 ] 	Training loss: 3.1668.  Training acc: 23.74%.
+[ Wed Aug 24 16:25:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:25:12 2022 ] Eval epoch: 3
+[ Wed Aug 24 16:25:41 2022 ] 	Mean test loss of 312 batches: 8.281991.
+[ Wed Aug 24 16:25:41 2022 ] 	Top1: 3.50%
+[ Wed Aug 24 16:25:41 2022 ] 	Top5: 16.49%
+[ Wed Aug 24 16:25:42 2022 ] Training epoch: 4
+[ Wed Aug 24 16:26:22 2022 ] 	Training loss: 2.8820.  Training acc: 29.83%.
+[ Wed Aug 24 16:26:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:26:22 2022 ] Eval epoch: 4
+[ Wed Aug 24 16:26:53 2022 ] 	Mean test loss of 312 batches: 6.712593.
+[ Wed Aug 24 16:26:53 2022 ] 	Top1: 5.18%
+[ Wed Aug 24 16:26:53 2022 ] 	Top5: 19.36%
+[ Wed Aug 24 16:26:53 2022 ] Training epoch: 5
+[ Wed Aug 24 16:27:29 2022 ] 	Training loss: 2.6668.  Training acc: 37.15%.
+[ Wed Aug 24 16:27:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:27:29 2022 ] Eval epoch: 5
+[ Wed Aug 24 16:28:02 2022 ] 	Mean test loss of 312 batches: 9.192039.
+[ Wed Aug 24 16:28:02 2022 ] 	Top1: 2.44%
+[ Wed Aug 24 16:28:02 2022 ] 	Top5: 12.20%
+[ Wed Aug 24 16:28:02 2022 ] Training epoch: 6
+[ Wed Aug 24 16:28:41 2022 ] 	Training loss: 2.4737.  Training acc: 42.84%.
+[ Wed Aug 24 16:28:41 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:28:41 2022 ] Eval epoch: 6
+[ Wed Aug 24 16:29:13 2022 ] 	Mean test loss of 312 batches: 6.807199.
+[ Wed Aug 24 16:29:14 2022 ] 	Top1: 8.47%
+[ Wed Aug 24 16:29:14 2022 ] 	Top5: 19.42%
+[ Wed Aug 24 16:29:14 2022 ] Training epoch: 7
+[ Wed Aug 24 16:30:04 2022 ] 	Training loss: 2.3076.  Training acc: 47.94%.
+[ Wed Aug 24 16:30:04 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:30:04 2022 ] Eval epoch: 7
+[ Wed Aug 24 16:30:46 2022 ] 	Mean test loss of 312 batches: 8.859052.
+[ Wed Aug 24 16:30:47 2022 ] 	Top1: 3.25%
+[ Wed Aug 24 16:30:47 2022 ] 	Top5: 17.43%
+[ Wed Aug 24 16:30:47 2022 ] Training epoch: 8
+[ Wed Aug 24 16:31:30 2022 ] 	Training loss: 2.1743.  Training acc: 52.13%.
+[ Wed Aug 24 16:31:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:31:30 2022 ] Eval epoch: 8
+[ Wed Aug 24 16:32:09 2022 ] 	Mean test loss of 312 batches: 7.420632.
+[ Wed Aug 24 16:32:10 2022 ] 	Top1: 6.94%
+[ Wed Aug 24 16:32:10 2022 ] 	Top5: 19.74%
+[ Wed Aug 24 16:32:10 2022 ] Training epoch: 9
+[ Wed Aug 24 16:32:57 2022 ] 	Training loss: 2.0884.  Training acc: 56.06%.
+[ Wed Aug 24 16:32:57 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 16:32:57 2022 ] Eval epoch: 9
+[ Wed Aug 24 16:33:53 2022 ] 	Mean test loss of 312 batches: 5.448253.
+[ Wed Aug 24 16:33:53 2022 ] 	Top1: 5.14%
+[ Wed Aug 24 16:33:54 2022 ] 	Top5: 26.88%
+[ Wed Aug 24 16:33:54 2022 ] Training epoch: 10
+[ Wed Aug 24 16:34:42 2022 ] 	Training loss: 2.0499.  Training acc: 56.53%.
+[ Wed Aug 24 16:34:42 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 16:34:42 2022 ] Eval epoch: 10
+[ Wed Aug 24 16:35:35 2022 ] 	Mean test loss of 312 batches: 4.690914.
+[ Wed Aug 24 16:35:35 2022 ] 	Top1: 10.54%
+[ Wed Aug 24 16:35:35 2022 ] 	Top5: 27.62%
+[ Wed Aug 24 16:35:35 2022 ] Training epoch: 11
+[ Wed Aug 24 16:36:31 2022 ] 	Training loss: 1.9937.  Training acc: 58.07%.
+[ Wed Aug 24 16:36:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:36:31 2022 ] Eval epoch: 11
+[ Wed Aug 24 16:37:08 2022 ] 	Mean test loss of 312 batches: 6.918192.
+[ Wed Aug 24 16:37:08 2022 ] 	Top1: 8.00%
+[ Wed Aug 24 16:37:09 2022 ] 	Top5: 25.64%
+[ Wed Aug 24 16:37:09 2022 ] Training epoch: 12
+[ Wed Aug 24 16:37:52 2022 ] 	Training loss: 1.9276.  Training acc: 60.43%.
+[ Wed Aug 24 16:37:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:37:52 2022 ] Eval epoch: 12
+[ Wed Aug 24 16:38:42 2022 ] 	Mean test loss of 312 batches: 6.395574.
+[ Wed Aug 24 16:38:42 2022 ] 	Top1: 12.00%
+[ Wed Aug 24 16:38:43 2022 ] 	Top5: 28.71%
+[ Wed Aug 24 16:38:43 2022 ] Training epoch: 13
+[ Wed Aug 24 16:39:36 2022 ] 	Training loss: 1.8862.  Training acc: 61.69%.
+[ Wed Aug 24 16:39:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:39:36 2022 ] Eval epoch: 13
+[ Wed Aug 24 16:40:11 2022 ] 	Mean test loss of 312 batches: 4.793856.
+[ Wed Aug 24 16:40:12 2022 ] 	Top1: 12.12%
+[ Wed Aug 24 16:40:12 2022 ] 	Top5: 36.62%
+[ Wed Aug 24 16:40:12 2022 ] Training epoch: 14
+[ Wed Aug 24 16:41:02 2022 ] 	Training loss: 1.8600.  Training acc: 62.91%.
+[ Wed Aug 24 16:41:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:41:02 2022 ] Eval epoch: 14
+[ Wed Aug 24 16:41:39 2022 ] 	Mean test loss of 312 batches: 5.860088.
+[ Wed Aug 24 16:41:39 2022 ] 	Top1: 6.60%
+[ Wed Aug 24 16:41:39 2022 ] 	Top5: 28.12%
+[ Wed Aug 24 16:41:40 2022 ] Training epoch: 15
+[ Wed Aug 24 16:42:32 2022 ] 	Training loss: 1.8491.  Training acc: 63.10%.
+[ Wed Aug 24 16:42:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:42:32 2022 ] Eval epoch: 15
+[ Wed Aug 24 16:43:17 2022 ] 	Mean test loss of 312 batches: 4.750947.
+[ Wed Aug 24 16:43:17 2022 ] 	Top1: 13.92%
+[ Wed Aug 24 16:43:18 2022 ] 	Top5: 37.24%
+[ Wed Aug 24 16:43:18 2022 ] Training epoch: 16
+[ Wed Aug 24 16:44:03 2022 ] 	Training loss: 1.7800.  Training acc: 64.63%.
+[ Wed Aug 24 16:44:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:44:03 2022 ] Eval epoch: 16
+[ Wed Aug 24 16:45:13 2022 ] 	Mean test loss of 312 batches: 4.047943.
+[ Wed Aug 24 16:45:13 2022 ] 	Top1: 14.55%
+[ Wed Aug 24 16:45:13 2022 ] 	Top5: 40.14%
+[ Wed Aug 24 16:45:13 2022 ] Training epoch: 17
+[ Wed Aug 24 16:45:54 2022 ] 	Training loss: 1.7633.  Training acc: 64.83%.
+[ Wed Aug 24 16:45:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:45:54 2022 ] Eval epoch: 17
+[ Wed Aug 24 16:46:37 2022 ] 	Mean test loss of 312 batches: 5.787776.
+[ Wed Aug 24 16:46:37 2022 ] 	Top1: 8.60%
+[ Wed Aug 24 16:46:37 2022 ] 	Top5: 32.00%
+[ Wed Aug 24 16:46:37 2022 ] Training epoch: 18
+[ Wed Aug 24 16:47:24 2022 ] 	Training loss: 1.7248.  Training acc: 66.98%.
+[ Wed Aug 24 16:47:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:47:24 2022 ] Eval epoch: 18
+[ Wed Aug 24 16:48:17 2022 ] 	Mean test loss of 312 batches: 5.711829.
+[ Wed Aug 24 16:48:18 2022 ] 	Top1: 9.15%
+[ Wed Aug 24 16:48:18 2022 ] 	Top5: 28.25%
+[ Wed Aug 24 16:48:18 2022 ] Training epoch: 19
+[ Wed Aug 24 16:49:06 2022 ] 	Training loss: 1.7165.  Training acc: 67.58%.
+[ Wed Aug 24 16:49:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:49:06 2022 ] Eval epoch: 19
+[ Wed Aug 24 16:50:04 2022 ] 	Mean test loss of 312 batches: 3.093888.
+[ Wed Aug 24 16:50:04 2022 ] 	Top1: 33.38%
+[ Wed Aug 24 16:50:04 2022 ] 	Top5: 59.98%
+[ Wed Aug 24 16:50:04 2022 ] Training epoch: 20
+[ Wed Aug 24 16:50:55 2022 ] 	Training loss: 1.7139.  Training acc: 67.88%.
+[ Wed Aug 24 16:50:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:50:55 2022 ] Eval epoch: 20
+[ Wed Aug 24 16:51:54 2022 ] 	Mean test loss of 312 batches: 4.089964.
+[ Wed Aug 24 16:51:55 2022 ] 	Top1: 18.41%
+[ Wed Aug 24 16:51:55 2022 ] 	Top5: 44.06%
+[ Wed Aug 24 16:51:55 2022 ] Training epoch: 21
+[ Wed Aug 24 16:52:35 2022 ] 	Training loss: 1.6714.  Training acc: 68.79%.
+[ Wed Aug 24 16:52:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:52:35 2022 ] Eval epoch: 21
+[ Wed Aug 24 16:53:53 2022 ] 	Mean test loss of 312 batches: 3.852938.
+[ Wed Aug 24 16:53:53 2022 ] 	Top1: 24.40%
+[ Wed Aug 24 16:53:53 2022 ] 	Top5: 46.67%
+[ Wed Aug 24 16:53:53 2022 ] Training epoch: 22
+[ Wed Aug 24 16:54:32 2022 ] 	Training loss: 1.6419.  Training acc: 70.12%.
+[ Wed Aug 24 16:54:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:54:32 2022 ] Eval epoch: 22
+[ Wed Aug 24 16:55:31 2022 ] 	Mean test loss of 312 batches: 3.848607.
+[ Wed Aug 24 16:55:31 2022 ] 	Top1: 24.40%
+[ Wed Aug 24 16:55:31 2022 ] 	Top5: 48.93%
+[ Wed Aug 24 16:55:31 2022 ] Training epoch: 23
+[ Wed Aug 24 16:56:17 2022 ] 	Training loss: 1.6343.  Training acc: 70.52%.
+[ Wed Aug 24 16:56:17 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:56:17 2022 ] Eval epoch: 23
+[ Wed Aug 24 16:57:20 2022 ] 	Mean test loss of 312 batches: 3.438820.
+[ Wed Aug 24 16:57:20 2022 ] 	Top1: 28.21%
+[ Wed Aug 24 16:57:20 2022 ] 	Top5: 54.47%
+[ Wed Aug 24 16:57:20 2022 ] Training epoch: 24
+[ Wed Aug 24 16:58:06 2022 ] 	Training loss: 1.6078.  Training acc: 70.75%.
+[ Wed Aug 24 16:58:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 16:58:06 2022 ] Eval epoch: 24
+[ Wed Aug 24 16:59:20 2022 ] 	Mean test loss of 312 batches: 3.107242.
+[ Wed Aug 24 16:59:20 2022 ] 	Top1: 29.70%
+[ Wed Aug 24 16:59:20 2022 ] 	Top5: 55.02%
+[ Wed Aug 24 16:59:20 2022 ] Training epoch: 25
+[ Wed Aug 24 17:00:10 2022 ] 	Training loss: 1.5767.  Training acc: 71.89%.
+[ Wed Aug 24 17:00:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:00:10 2022 ] Eval epoch: 25
+[ Wed Aug 24 17:01:16 2022 ] 	Mean test loss of 312 batches: 3.694362.
+[ Wed Aug 24 17:01:16 2022 ] 	Top1: 23.47%
+[ Wed Aug 24 17:01:16 2022 ] 	Top5: 47.33%
+[ Wed Aug 24 17:01:16 2022 ] Training epoch: 26
+[ Wed Aug 24 17:01:58 2022 ] 	Training loss: 1.5726.  Training acc: 71.90%.
+[ Wed Aug 24 17:01:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:01:58 2022 ] Eval epoch: 26
+[ Wed Aug 24 17:03:16 2022 ] 	Mean test loss of 312 batches: 3.162524.
+[ Wed Aug 24 17:03:16 2022 ] 	Top1: 28.82%
+[ Wed Aug 24 17:03:16 2022 ] 	Top5: 57.52%
+[ Wed Aug 24 17:03:16 2022 ] Training epoch: 27
+[ Wed Aug 24 17:03:53 2022 ] 	Training loss: 1.5650.  Training acc: 72.45%.
+[ Wed Aug 24 17:03:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:03:53 2022 ] Eval epoch: 27
+[ Wed Aug 24 17:05:08 2022 ] 	Mean test loss of 312 batches: 3.919853.
+[ Wed Aug 24 17:05:08 2022 ] 	Top1: 20.14%
+[ Wed Aug 24 17:05:08 2022 ] 	Top5: 45.28%
+[ Wed Aug 24 17:05:08 2022 ] Training epoch: 28
+[ Wed Aug 24 17:05:51 2022 ] 	Training loss: 1.5351.  Training acc: 73.69%.
+[ Wed Aug 24 17:05:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:05:51 2022 ] Eval epoch: 28
+[ Wed Aug 24 17:06:43 2022 ] 	Mean test loss of 312 batches: 2.772650.
+[ Wed Aug 24 17:06:44 2022 ] 	Top1: 39.13%
+[ Wed Aug 24 17:06:44 2022 ] 	Top5: 66.80%
+[ Wed Aug 24 17:06:44 2022 ] Training epoch: 29
+[ Wed Aug 24 17:07:29 2022 ] 	Training loss: 1.5238.  Training acc: 73.80%.
+[ Wed Aug 24 17:07:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:07:29 2022 ] Eval epoch: 29
+[ Wed Aug 24 17:08:32 2022 ] 	Mean test loss of 312 batches: 2.825431.
+[ Wed Aug 24 17:08:32 2022 ] 	Top1: 36.15%
+[ Wed Aug 24 17:08:32 2022 ] 	Top5: 61.92%
+[ Wed Aug 24 17:08:33 2022 ] Training epoch: 30
+[ Wed Aug 24 17:09:20 2022 ] 	Training loss: 1.4999.  Training acc: 74.27%.
+[ Wed Aug 24 17:09:20 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:09:20 2022 ] Eval epoch: 30
+[ Wed Aug 24 17:10:18 2022 ] 	Mean test loss of 312 batches: 2.930075.
+[ Wed Aug 24 17:10:18 2022 ] 	Top1: 33.82%
+[ Wed Aug 24 17:10:18 2022 ] 	Top5: 66.11%
+[ Wed Aug 24 17:10:19 2022 ] Training epoch: 31
+[ Wed Aug 24 17:11:08 2022 ] 	Training loss: 1.4896.  Training acc: 75.19%.
+[ Wed Aug 24 17:11:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:11:08 2022 ] Eval epoch: 31
+[ Wed Aug 24 17:12:16 2022 ] 	Mean test loss of 312 batches: 2.667808.
+[ Wed Aug 24 17:12:16 2022 ] 	Top1: 40.71%
+[ Wed Aug 24 17:12:17 2022 ] 	Top5: 72.37%
+[ Wed Aug 24 17:12:17 2022 ] Training epoch: 32
+[ Wed Aug 24 17:12:54 2022 ] 	Training loss: 1.4611.  Training acc: 75.99%.
+[ Wed Aug 24 17:12:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:12:54 2022 ] Eval epoch: 32
+[ Wed Aug 24 17:14:03 2022 ] 	Mean test loss of 312 batches: 2.669129.
+[ Wed Aug 24 17:14:03 2022 ] 	Top1: 42.44%
+[ Wed Aug 24 17:14:04 2022 ] 	Top5: 70.83%
+[ Wed Aug 24 17:14:04 2022 ] Training epoch: 33
+[ Wed Aug 24 17:14:49 2022 ] 	Training loss: 1.4493.  Training acc: 76.91%.
+[ Wed Aug 24 17:14:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:14:49 2022 ] Eval epoch: 33
+[ Wed Aug 24 17:15:38 2022 ] 	Mean test loss of 312 batches: 2.686030.
+[ Wed Aug 24 17:15:38 2022 ] 	Top1: 39.16%
+[ Wed Aug 24 17:15:38 2022 ] 	Top5: 70.68%
+[ Wed Aug 24 17:15:38 2022 ] Training epoch: 34
+[ Wed Aug 24 17:16:29 2022 ] 	Training loss: 1.4428.  Training acc: 77.09%.
+[ Wed Aug 24 17:16:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:16:29 2022 ] Eval epoch: 34
+[ Wed Aug 24 17:17:29 2022 ] 	Mean test loss of 312 batches: 2.666935.
+[ Wed Aug 24 17:17:30 2022 ] 	Top1: 41.50%
+[ Wed Aug 24 17:17:30 2022 ] 	Top5: 71.82%
+[ Wed Aug 24 17:17:30 2022 ] Training epoch: 35
+[ Wed Aug 24 17:18:14 2022 ] 	Training loss: 1.4242.  Training acc: 77.69%.
+[ Wed Aug 24 17:18:14 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:18:14 2022 ] Eval epoch: 35
+[ Wed Aug 24 17:18:59 2022 ] 	Mean test loss of 312 batches: 2.525765.
+[ Wed Aug 24 17:18:59 2022 ] 	Top1: 42.30%
+[ Wed Aug 24 17:18:59 2022 ] 	Top5: 76.34%
+[ Wed Aug 24 17:19:00 2022 ] Training epoch: 36
+[ Wed Aug 24 17:19:48 2022 ] 	Training loss: 1.4053.  Training acc: 78.39%.
+[ Wed Aug 24 17:19:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:19:48 2022 ] Eval epoch: 36
+[ Wed Aug 24 17:20:58 2022 ] 	Mean test loss of 312 batches: 2.906348.
+[ Wed Aug 24 17:20:58 2022 ] 	Top1: 31.63%
+[ Wed Aug 24 17:20:58 2022 ] 	Top5: 67.78%
+[ Wed Aug 24 17:20:58 2022 ] Training epoch: 37
+[ Wed Aug 24 17:21:37 2022 ] 	Training loss: 1.3957.  Training acc: 78.60%.
+[ Wed Aug 24 17:21:37 2022 ] 	Time consumption: [Data]02%, [Network]97%
+[ Wed Aug 24 17:21:37 2022 ] Eval epoch: 37
+[ Wed Aug 24 17:22:36 2022 ] 	Mean test loss of 312 batches: 2.445898.
+[ Wed Aug 24 17:22:36 2022 ] 	Top1: 46.67%
+[ Wed Aug 24 17:22:36 2022 ] 	Top5: 76.39%
+[ Wed Aug 24 17:22:36 2022 ] Training epoch: 38
+[ Wed Aug 24 17:23:27 2022 ] 	Training loss: 1.3899.  Training acc: 78.65%.
+[ Wed Aug 24 17:23:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:23:27 2022 ] Eval epoch: 38
+[ Wed Aug 24 17:24:10 2022 ] 	Mean test loss of 312 batches: 2.283904.
+[ Wed Aug 24 17:24:10 2022 ] 	Top1: 50.74%
+[ Wed Aug 24 17:24:10 2022 ] 	Top5: 79.84%
+[ Wed Aug 24 17:24:10 2022 ] Training epoch: 39
+[ Wed Aug 24 17:24:59 2022 ] 	Training loss: 1.3819.  Training acc: 78.66%.
+[ Wed Aug 24 17:24:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:24:59 2022 ] Eval epoch: 39
+[ Wed Aug 24 17:26:11 2022 ] 	Mean test loss of 312 batches: 2.481197.
+[ Wed Aug 24 17:26:11 2022 ] 	Top1: 45.56%
+[ Wed Aug 24 17:26:11 2022 ] 	Top5: 75.91%
+[ Wed Aug 24 17:26:12 2022 ] Training epoch: 40
+[ Wed Aug 24 17:26:56 2022 ] 	Training loss: 1.3714.  Training acc: 79.00%.
+[ Wed Aug 24 17:26:56 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 17:26:56 2022 ] Eval epoch: 40
+[ Wed Aug 24 17:27:57 2022 ] 	Mean test loss of 312 batches: 2.687422.
+[ Wed Aug 24 17:27:57 2022 ] 	Top1: 40.64%
+[ Wed Aug 24 17:27:57 2022 ] 	Top5: 72.83%
+[ Wed Aug 24 17:27:57 2022 ] Training epoch: 41
+[ Wed Aug 24 17:28:48 2022 ] 	Training loss: 1.3468.  Training acc: 79.91%.
+[ Wed Aug 24 17:28:48 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:28:48 2022 ] Eval epoch: 41
+[ Wed Aug 24 17:29:50 2022 ] 	Mean test loss of 312 batches: 2.333010.
+[ Wed Aug 24 17:29:50 2022 ] 	Top1: 49.17%
+[ Wed Aug 24 17:29:50 2022 ] 	Top5: 81.56%
+[ Wed Aug 24 17:29:50 2022 ] Training epoch: 42
+[ Wed Aug 24 17:30:36 2022 ] 	Training loss: 1.3555.  Training acc: 80.17%.
+[ Wed Aug 24 17:30:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:30:36 2022 ] Eval epoch: 42
+[ Wed Aug 24 17:31:22 2022 ] 	Mean test loss of 312 batches: 2.032842.
+[ Wed Aug 24 17:31:22 2022 ] 	Top1: 55.41%
+[ Wed Aug 24 17:31:22 2022 ] 	Top5: 87.09%
+[ Wed Aug 24 17:31:22 2022 ] Training epoch: 43
+[ Wed Aug 24 17:32:12 2022 ] 	Training loss: 1.3374.  Training acc: 80.60%.
+[ Wed Aug 24 17:32:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:32:12 2022 ] Eval epoch: 43
+[ Wed Aug 24 17:32:53 2022 ] 	Mean test loss of 312 batches: 2.098992.
+[ Wed Aug 24 17:32:53 2022 ] 	Top1: 52.98%
+[ Wed Aug 24 17:32:53 2022 ] 	Top5: 87.14%
+[ Wed Aug 24 17:32:54 2022 ] Training epoch: 44
+[ Wed Aug 24 17:33:36 2022 ] 	Training loss: 1.3412.  Training acc: 80.51%.
+[ Wed Aug 24 17:33:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:33:36 2022 ] Eval epoch: 44
+[ Wed Aug 24 17:34:42 2022 ] 	Mean test loss of 312 batches: 2.283614.
+[ Wed Aug 24 17:34:43 2022 ] 	Top1: 50.19%
+[ Wed Aug 24 17:34:43 2022 ] 	Top5: 83.00%
+[ Wed Aug 24 17:34:43 2022 ] Training epoch: 45
+[ Wed Aug 24 17:35:29 2022 ] 	Training loss: 1.3056.  Training acc: 82.12%.
+[ Wed Aug 24 17:35:29 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:35:29 2022 ] Eval epoch: 45
+[ Wed Aug 24 17:36:15 2022 ] 	Mean test loss of 312 batches: 2.006340.
+[ Wed Aug 24 17:36:15 2022 ] 	Top1: 57.17%
+[ Wed Aug 24 17:36:15 2022 ] 	Top5: 88.38%
+[ Wed Aug 24 17:36:16 2022 ] Training epoch: 46
+[ Wed Aug 24 17:37:10 2022 ] 	Training loss: 1.2914.  Training acc: 82.52%.
+[ Wed Aug 24 17:37:10 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:37:10 2022 ] Eval epoch: 46
+[ Wed Aug 24 17:37:56 2022 ] 	Mean test loss of 312 batches: 2.055375.
+[ Wed Aug 24 17:37:56 2022 ] 	Top1: 55.60%
+[ Wed Aug 24 17:37:56 2022 ] 	Top5: 86.96%
+[ Wed Aug 24 17:37:56 2022 ] Training epoch: 47
+[ Wed Aug 24 17:38:43 2022 ] 	Training loss: 1.3037.  Training acc: 81.76%.
+[ Wed Aug 24 17:38:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:38:43 2022 ] Eval epoch: 47
+[ Wed Aug 24 17:39:32 2022 ] 	Mean test loss of 312 batches: 2.013403.
+[ Wed Aug 24 17:39:32 2022 ] 	Top1: 57.28%
+[ Wed Aug 24 17:39:32 2022 ] 	Top5: 88.95%
+[ Wed Aug 24 17:39:32 2022 ] Training epoch: 48
+[ Wed Aug 24 17:40:23 2022 ] 	Training loss: 1.2909.  Training acc: 82.27%.
+[ Wed Aug 24 17:40:23 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:40:23 2022 ] Eval epoch: 48
+[ Wed Aug 24 17:41:15 2022 ] 	Mean test loss of 312 batches: 2.115479.
+[ Wed Aug 24 17:41:15 2022 ] 	Top1: 52.36%
+[ Wed Aug 24 17:41:15 2022 ] 	Top5: 87.71%
+[ Wed Aug 24 17:41:15 2022 ] Training epoch: 49
+[ Wed Aug 24 17:42:02 2022 ] 	Training loss: 1.2835.  Training acc: 82.53%.
+[ Wed Aug 24 17:42:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:42:02 2022 ] Eval epoch: 49
+[ Wed Aug 24 17:42:50 2022 ] 	Mean test loss of 312 batches: 1.996303.
+[ Wed Aug 24 17:42:50 2022 ] 	Top1: 56.69%
+[ Wed Aug 24 17:42:50 2022 ] 	Top5: 88.48%
+[ Wed Aug 24 17:42:50 2022 ] Training epoch: 50
+[ Wed Aug 24 17:43:42 2022 ] 	Training loss: 1.2613.  Training acc: 83.49%.
+[ Wed Aug 24 17:43:42 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:43:42 2022 ] Eval epoch: 50
+[ Wed Aug 24 17:44:23 2022 ] 	Mean test loss of 312 batches: 2.020245.
+[ Wed Aug 24 17:44:23 2022 ] 	Top1: 55.50%
+[ Wed Aug 24 17:44:23 2022 ] 	Top5: 88.71%
+[ Wed Aug 24 17:44:23 2022 ] Training epoch: 51
+[ Wed Aug 24 17:45:13 2022 ] 	Training loss: 1.2713.  Training acc: 83.04%.
+[ Wed Aug 24 17:45:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:45:13 2022 ] Eval epoch: 51
+[ Wed Aug 24 17:46:23 2022 ] 	Mean test loss of 312 batches: 2.313662.
+[ Wed Aug 24 17:46:23 2022 ] 	Top1: 52.69%
+[ Wed Aug 24 17:46:23 2022 ] 	Top5: 82.83%
+[ Wed Aug 24 17:46:23 2022 ] Training epoch: 52
+[ Wed Aug 24 17:47:11 2022 ] 	Training loss: 1.2693.  Training acc: 82.98%.
+[ Wed Aug 24 17:47:11 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:47:11 2022 ] Eval epoch: 52
+[ Wed Aug 24 17:47:55 2022 ] 	Mean test loss of 312 batches: 1.990950.
+[ Wed Aug 24 17:47:55 2022 ] 	Top1: 57.74%
+[ Wed Aug 24 17:47:55 2022 ] 	Top5: 89.43%
+[ Wed Aug 24 17:47:56 2022 ] Training epoch: 53
+[ Wed Aug 24 17:48:50 2022 ] 	Training loss: 1.2578.  Training acc: 84.12%.
+[ Wed Aug 24 17:48:50 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:48:50 2022 ] Eval epoch: 53
+[ Wed Aug 24 17:49:47 2022 ] 	Mean test loss of 312 batches: 2.230604.
+[ Wed Aug 24 17:49:47 2022 ] 	Top1: 50.80%
+[ Wed Aug 24 17:49:47 2022 ] 	Top5: 82.55%
+[ Wed Aug 24 17:49:47 2022 ] Training epoch: 54
+[ Wed Aug 24 17:50:35 2022 ] 	Training loss: 1.2441.  Training acc: 84.03%.
+[ Wed Aug 24 17:50:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:50:35 2022 ] Eval epoch: 54
+[ Wed Aug 24 17:51:22 2022 ] 	Mean test loss of 312 batches: 1.888449.
+[ Wed Aug 24 17:51:22 2022 ] 	Top1: 61.19%
+[ Wed Aug 24 17:51:22 2022 ] 	Top5: 91.58%
+[ Wed Aug 24 17:51:22 2022 ] Training epoch: 55
+[ Wed Aug 24 17:52:09 2022 ] 	Training loss: 1.2308.  Training acc: 84.70%.
+[ Wed Aug 24 17:52:09 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:52:09 2022 ] Eval epoch: 55
+[ Wed Aug 24 17:53:03 2022 ] 	Mean test loss of 312 batches: 1.980592.
+[ Wed Aug 24 17:53:03 2022 ] 	Top1: 58.41%
+[ Wed Aug 24 17:53:03 2022 ] 	Top5: 88.28%
+[ Wed Aug 24 17:53:03 2022 ] Training epoch: 56
+[ Wed Aug 24 17:53:40 2022 ] 	Training loss: 1.2345.  Training acc: 84.54%.
+[ Wed Aug 24 17:53:40 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 17:53:40 2022 ] Eval epoch: 56
+[ Wed Aug 24 17:54:30 2022 ] 	Mean test loss of 312 batches: 2.173113.
+[ Wed Aug 24 17:54:30 2022 ] 	Top1: 50.41%
+[ Wed Aug 24 17:54:30 2022 ] 	Top5: 87.06%
+[ Wed Aug 24 17:54:30 2022 ] Training epoch: 57
+[ Wed Aug 24 17:55:12 2022 ] 	Training loss: 1.2313.  Training acc: 84.26%.
+[ Wed Aug 24 17:55:12 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:55:12 2022 ] Eval epoch: 57
+[ Wed Aug 24 17:55:52 2022 ] 	Mean test loss of 312 batches: 1.862311.
+[ Wed Aug 24 17:55:52 2022 ] 	Top1: 61.50%
+[ Wed Aug 24 17:55:52 2022 ] 	Top5: 91.34%
+[ Wed Aug 24 17:55:52 2022 ] Training epoch: 58
+[ Wed Aug 24 17:56:40 2022 ] 	Training loss: 1.2160.  Training acc: 84.90%.
+[ Wed Aug 24 17:56:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:56:40 2022 ] Eval epoch: 58
+[ Wed Aug 24 17:57:50 2022 ] 	Mean test loss of 312 batches: 2.056131.
+[ Wed Aug 24 17:57:50 2022 ] 	Top1: 55.76%
+[ Wed Aug 24 17:57:50 2022 ] 	Top5: 89.35%
+[ Wed Aug 24 17:57:50 2022 ] Training epoch: 59
+[ Wed Aug 24 17:58:34 2022 ] 	Training loss: 1.2237.  Training acc: 84.67%.
+[ Wed Aug 24 17:58:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 17:58:34 2022 ] Eval epoch: 59
+[ Wed Aug 24 17:59:45 2022 ] 	Mean test loss of 312 batches: 1.927306.
+[ Wed Aug 24 17:59:45 2022 ] 	Top1: 59.26%
+[ Wed Aug 24 17:59:45 2022 ] 	Top5: 89.91%
+[ Wed Aug 24 17:59:45 2022 ] Training epoch: 60
+[ Wed Aug 24 18:00:30 2022 ] 	Training loss: 1.2269.  Training acc: 84.44%.
+[ Wed Aug 24 18:00:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:00:30 2022 ] Eval epoch: 60
+[ Wed Aug 24 18:01:14 2022 ] 	Mean test loss of 312 batches: 1.886161.
+[ Wed Aug 24 18:01:14 2022 ] 	Top1: 60.30%
+[ Wed Aug 24 18:01:14 2022 ] 	Top5: 90.72%
+[ Wed Aug 24 18:01:14 2022 ] Training epoch: 61
+[ Wed Aug 24 18:01:57 2022 ] 	Training loss: 1.2099.  Training acc: 85.60%.
+[ Wed Aug 24 18:01:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:01:57 2022 ] Eval epoch: 61
+[ Wed Aug 24 18:02:55 2022 ] 	Mean test loss of 312 batches: 2.102081.
+[ Wed Aug 24 18:02:55 2022 ] 	Top1: 55.14%
+[ Wed Aug 24 18:02:55 2022 ] 	Top5: 88.64%
+[ Wed Aug 24 18:02:55 2022 ] Training epoch: 62
+[ Wed Aug 24 18:03:47 2022 ] 	Training loss: 1.1985.  Training acc: 85.30%.
+[ Wed Aug 24 18:03:47 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:03:47 2022 ] Eval epoch: 62
+[ Wed Aug 24 18:04:33 2022 ] 	Mean test loss of 312 batches: 1.829330.
+[ Wed Aug 24 18:04:33 2022 ] 	Top1: 64.13%
+[ Wed Aug 24 18:04:33 2022 ] 	Top5: 92.11%
+[ Wed Aug 24 18:04:34 2022 ] Training epoch: 63
+[ Wed Aug 24 18:05:22 2022 ] 	Training loss: 1.1962.  Training acc: 86.31%.
+[ Wed Aug 24 18:05:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:05:22 2022 ] Eval epoch: 63
+[ Wed Aug 24 18:06:37 2022 ] 	Mean test loss of 312 batches: 1.965230.
+[ Wed Aug 24 18:06:37 2022 ] 	Top1: 59.07%
+[ Wed Aug 24 18:06:37 2022 ] 	Top5: 90.18%
+[ Wed Aug 24 18:06:37 2022 ] Training epoch: 64
+[ Wed Aug 24 18:07:15 2022 ] 	Training loss: 1.1769.  Training acc: 86.53%.
+[ Wed Aug 24 18:07:15 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 18:07:15 2022 ] Eval epoch: 64
+[ Wed Aug 24 18:08:14 2022 ] 	Mean test loss of 312 batches: 2.167867.
+[ Wed Aug 24 18:08:14 2022 ] 	Top1: 56.24%
+[ Wed Aug 24 18:08:14 2022 ] 	Top5: 85.06%
+[ Wed Aug 24 18:08:14 2022 ] Training epoch: 65
+[ Wed Aug 24 18:09:06 2022 ] 	Training loss: 1.1868.  Training acc: 85.92%.
+[ Wed Aug 24 18:09:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:09:06 2022 ] Eval epoch: 65
+[ Wed Aug 24 18:09:47 2022 ] 	Mean test loss of 312 batches: 1.932046.
+[ Wed Aug 24 18:09:47 2022 ] 	Top1: 59.33%
+[ Wed Aug 24 18:09:47 2022 ] 	Top5: 89.46%
+[ Wed Aug 24 18:09:48 2022 ] Training epoch: 66
+[ Wed Aug 24 18:10:31 2022 ] 	Training loss: 1.1793.  Training acc: 86.19%.
+[ Wed Aug 24 18:10:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:10:31 2022 ] Eval epoch: 66
+[ Wed Aug 24 18:11:34 2022 ] 	Mean test loss of 312 batches: 1.845171.
+[ Wed Aug 24 18:11:34 2022 ] 	Top1: 61.64%
+[ Wed Aug 24 18:11:34 2022 ] 	Top5: 91.35%
+[ Wed Aug 24 18:11:34 2022 ] Training epoch: 67
+[ Wed Aug 24 18:12:23 2022 ] 	Training loss: 1.1663.  Training acc: 86.97%.
+[ Wed Aug 24 18:12:23 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:12:23 2022 ] Eval epoch: 67
+[ Wed Aug 24 18:13:09 2022 ] 	Mean test loss of 312 batches: 1.965168.
+[ Wed Aug 24 18:13:09 2022 ] 	Top1: 58.41%
+[ Wed Aug 24 18:13:09 2022 ] 	Top5: 90.46%
+[ Wed Aug 24 18:13:09 2022 ] Training epoch: 68
+[ Wed Aug 24 18:13:53 2022 ] 	Training loss: 1.1582.  Training acc: 87.24%.
+[ Wed Aug 24 18:13:53 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:13:53 2022 ] Eval epoch: 68
+[ Wed Aug 24 18:15:06 2022 ] 	Mean test loss of 312 batches: 1.914780.
+[ Wed Aug 24 18:15:06 2022 ] 	Top1: 60.26%
+[ Wed Aug 24 18:15:06 2022 ] 	Top5: 91.48%
+[ Wed Aug 24 18:15:06 2022 ] Training epoch: 69
+[ Wed Aug 24 18:15:49 2022 ] 	Training loss: 1.1633.  Training acc: 86.59%.
+[ Wed Aug 24 18:15:49 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 18:15:49 2022 ] Eval epoch: 69
+[ Wed Aug 24 18:16:33 2022 ] 	Mean test loss of 312 batches: 1.774604.
+[ Wed Aug 24 18:16:33 2022 ] 	Top1: 65.60%
+[ Wed Aug 24 18:16:33 2022 ] 	Top5: 92.56%
+[ Wed Aug 24 18:16:33 2022 ] Training epoch: 70
+[ Wed Aug 24 18:17:22 2022 ] 	Training loss: 1.1512.  Training acc: 87.19%.
+[ Wed Aug 24 18:17:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:17:22 2022 ] Eval epoch: 70
+[ Wed Aug 24 18:18:15 2022 ] 	Mean test loss of 312 batches: 2.024741.
+[ Wed Aug 24 18:18:16 2022 ] 	Top1: 58.45%
+[ Wed Aug 24 18:18:16 2022 ] 	Top5: 88.24%
+[ Wed Aug 24 18:18:16 2022 ] Training epoch: 71
+[ Wed Aug 24 18:18:55 2022 ] 	Training loss: 1.1511.  Training acc: 86.94%.
+[ Wed Aug 24 18:18:55 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:18:55 2022 ] Eval epoch: 71
+[ Wed Aug 24 18:19:42 2022 ] 	Mean test loss of 312 batches: 1.971253.
+[ Wed Aug 24 18:19:42 2022 ] 	Top1: 60.73%
+[ Wed Aug 24 18:19:42 2022 ] 	Top5: 90.04%
+[ Wed Aug 24 18:19:43 2022 ] Training epoch: 72
+[ Wed Aug 24 18:20:27 2022 ] 	Training loss: 1.1442.  Training acc: 87.86%.
+[ Wed Aug 24 18:20:27 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:20:27 2022 ] Eval epoch: 72
+[ Wed Aug 24 18:21:07 2022 ] 	Mean test loss of 312 batches: 2.006594.
+[ Wed Aug 24 18:21:07 2022 ] 	Top1: 59.75%
+[ Wed Aug 24 18:21:08 2022 ] 	Top5: 88.57%
+[ Wed Aug 24 18:21:08 2022 ] Training epoch: 73
+[ Wed Aug 24 18:21:54 2022 ] 	Training loss: 1.1280.  Training acc: 88.32%.
+[ Wed Aug 24 18:21:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:21:54 2022 ] Eval epoch: 73
+[ Wed Aug 24 18:22:42 2022 ] 	Mean test loss of 312 batches: 1.986168.
+[ Wed Aug 24 18:22:42 2022 ] 	Top1: 57.66%
+[ Wed Aug 24 18:22:43 2022 ] 	Top5: 89.64%
+[ Wed Aug 24 18:22:43 2022 ] Training epoch: 74
+[ Wed Aug 24 18:23:34 2022 ] 	Training loss: 1.1312.  Training acc: 88.17%.
+[ Wed Aug 24 18:23:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:23:34 2022 ] Eval epoch: 74
+[ Wed Aug 24 18:24:12 2022 ] 	Mean test loss of 312 batches: 1.867727.
+[ Wed Aug 24 18:24:12 2022 ] 	Top1: 63.70%
+[ Wed Aug 24 18:24:12 2022 ] 	Top5: 90.55%
+[ Wed Aug 24 18:24:12 2022 ] Training epoch: 75
+[ Wed Aug 24 18:24:56 2022 ] 	Training loss: 1.1320.  Training acc: 88.38%.
+[ Wed Aug 24 18:24:56 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:24:56 2022 ] Eval epoch: 75
+[ Wed Aug 24 18:25:56 2022 ] 	Mean test loss of 312 batches: 1.926445.
+[ Wed Aug 24 18:25:56 2022 ] 	Top1: 61.21%
+[ Wed Aug 24 18:25:56 2022 ] 	Top5: 89.22%
+[ Wed Aug 24 18:25:56 2022 ] Training epoch: 76
+[ Wed Aug 24 18:26:45 2022 ] 	Training loss: 1.1230.  Training acc: 88.14%.
+[ Wed Aug 24 18:26:45 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:26:45 2022 ] Eval epoch: 76
+[ Wed Aug 24 18:27:20 2022 ] 	Mean test loss of 312 batches: 2.360271.
+[ Wed Aug 24 18:27:20 2022 ] 	Top1: 51.86%
+[ Wed Aug 24 18:27:20 2022 ] 	Top5: 86.21%
+[ Wed Aug 24 18:27:21 2022 ] Training epoch: 77
+[ Wed Aug 24 18:28:13 2022 ] 	Training loss: 1.1084.  Training acc: 88.93%.
+[ Wed Aug 24 18:28:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:28:13 2022 ] Eval epoch: 77
+[ Wed Aug 24 18:28:51 2022 ] 	Mean test loss of 312 batches: 1.951040.
+[ Wed Aug 24 18:28:51 2022 ] 	Top1: 60.94%
+[ Wed Aug 24 18:28:51 2022 ] 	Top5: 90.78%
+[ Wed Aug 24 18:28:51 2022 ] Training epoch: 78
+[ Wed Aug 24 18:29:37 2022 ] 	Training loss: 1.1047.  Training acc: 89.54%.
+[ Wed Aug 24 18:29:37 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:29:37 2022 ] Eval epoch: 78
+[ Wed Aug 24 18:30:08 2022 ] 	Mean test loss of 312 batches: 1.849331.
+[ Wed Aug 24 18:30:08 2022 ] 	Top1: 63.49%
+[ Wed Aug 24 18:30:08 2022 ] 	Top5: 90.49%
+[ Wed Aug 24 18:30:08 2022 ] Training epoch: 79
+[ Wed Aug 24 18:30:58 2022 ] 	Training loss: 1.1118.  Training acc: 88.86%.
+[ Wed Aug 24 18:30:58 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:30:58 2022 ] Eval epoch: 79
+[ Wed Aug 24 18:31:48 2022 ] 	Mean test loss of 312 batches: 1.952629.
+[ Wed Aug 24 18:31:49 2022 ] 	Top1: 61.74%
+[ Wed Aug 24 18:31:49 2022 ] 	Top5: 88.23%
+[ Wed Aug 24 18:31:49 2022 ] Training epoch: 80
+[ Wed Aug 24 18:32:40 2022 ] 	Training loss: 1.0952.  Training acc: 89.51%.
+[ Wed Aug 24 18:32:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:32:40 2022 ] Eval epoch: 80
+[ Wed Aug 24 18:33:14 2022 ] 	Mean test loss of 312 batches: 1.856788.
+[ Wed Aug 24 18:33:14 2022 ] 	Top1: 63.37%
+[ Wed Aug 24 18:33:14 2022 ] 	Top5: 91.83%
+[ Wed Aug 24 18:33:14 2022 ] Training epoch: 81
+[ Wed Aug 24 18:34:08 2022 ] 	Training loss: 1.0957.  Training acc: 89.27%.
+[ Wed Aug 24 18:34:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:34:08 2022 ] Eval epoch: 81
+[ Wed Aug 24 18:34:57 2022 ] 	Mean test loss of 312 batches: 1.904961.
+[ Wed Aug 24 18:34:57 2022 ] 	Top1: 62.21%
+[ Wed Aug 24 18:34:57 2022 ] 	Top5: 89.64%
+[ Wed Aug 24 18:34:57 2022 ] Training epoch: 82
+[ Wed Aug 24 18:35:40 2022 ] 	Training loss: 1.1028.  Training acc: 89.04%.
+[ Wed Aug 24 18:35:40 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:35:40 2022 ] Eval epoch: 82
+[ Wed Aug 24 18:36:33 2022 ] 	Mean test loss of 312 batches: 2.025565.
+[ Wed Aug 24 18:36:33 2022 ] 	Top1: 58.12%
+[ Wed Aug 24 18:36:33 2022 ] 	Top5: 88.71%
+[ Wed Aug 24 18:36:33 2022 ] Training epoch: 83
+[ Wed Aug 24 18:37:22 2022 ] 	Training loss: 1.0834.  Training acc: 89.95%.
+[ Wed Aug 24 18:37:22 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:37:22 2022 ] Eval epoch: 83
+[ Wed Aug 24 18:37:59 2022 ] 	Mean test loss of 312 batches: 1.973085.
+[ Wed Aug 24 18:37:59 2022 ] 	Top1: 58.53%
+[ Wed Aug 24 18:37:59 2022 ] 	Top5: 88.63%
+[ Wed Aug 24 18:37:59 2022 ] Training epoch: 84
+[ Wed Aug 24 18:38:44 2022 ] 	Training loss: 1.0747.  Training acc: 90.07%.
+[ Wed Aug 24 18:38:44 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:38:44 2022 ] Eval epoch: 84
+[ Wed Aug 24 18:39:26 2022 ] 	Mean test loss of 312 batches: 1.961646.
+[ Wed Aug 24 18:39:26 2022 ] 	Top1: 59.92%
+[ Wed Aug 24 18:39:26 2022 ] 	Top5: 88.38%
+[ Wed Aug 24 18:39:26 2022 ] Training epoch: 85
+[ Wed Aug 24 18:40:15 2022 ] 	Training loss: 1.0581.  Training acc: 90.43%.
+[ Wed Aug 24 18:40:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:40:15 2022 ] Eval epoch: 85
+[ Wed Aug 24 18:41:04 2022 ] 	Mean test loss of 312 batches: 1.930613.
+[ Wed Aug 24 18:41:04 2022 ] 	Top1: 61.81%
+[ Wed Aug 24 18:41:04 2022 ] 	Top5: 89.86%
+[ Wed Aug 24 18:41:04 2022 ] Training epoch: 86
+[ Wed Aug 24 18:41:51 2022 ] 	Training loss: 1.0845.  Training acc: 89.38%.
+[ Wed Aug 24 18:41:51 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:41:51 2022 ] Eval epoch: 86
+[ Wed Aug 24 18:42:45 2022 ] 	Mean test loss of 312 batches: 2.095120.
+[ Wed Aug 24 18:42:45 2022 ] 	Top1: 58.28%
+[ Wed Aug 24 18:42:45 2022 ] 	Top5: 86.51%
+[ Wed Aug 24 18:42:46 2022 ] Training epoch: 87
+[ Wed Aug 24 18:43:30 2022 ] 	Training loss: 1.0591.  Training acc: 91.02%.
+[ Wed Aug 24 18:43:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:43:30 2022 ] Eval epoch: 87
+[ Wed Aug 24 18:44:09 2022 ] 	Mean test loss of 312 batches: 1.917371.
+[ Wed Aug 24 18:44:10 2022 ] 	Top1: 61.00%
+[ Wed Aug 24 18:44:10 2022 ] 	Top5: 89.24%
+[ Wed Aug 24 18:44:10 2022 ] Training epoch: 88
+[ Wed Aug 24 18:44:59 2022 ] 	Training loss: 1.0617.  Training acc: 90.45%.
+[ Wed Aug 24 18:44:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:44:59 2022 ] Eval epoch: 88
+[ Wed Aug 24 18:45:52 2022 ] 	Mean test loss of 312 batches: 1.916521.
+[ Wed Aug 24 18:45:52 2022 ] 	Top1: 62.50%
+[ Wed Aug 24 18:45:53 2022 ] 	Top5: 88.90%
+[ Wed Aug 24 18:45:53 2022 ] Training epoch: 89
+[ Wed Aug 24 18:46:32 2022 ] 	Training loss: 1.0612.  Training acc: 90.80%.
+[ Wed Aug 24 18:46:32 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:46:32 2022 ] Eval epoch: 89
+[ Wed Aug 24 18:47:24 2022 ] 	Mean test loss of 312 batches: 1.909853.
+[ Wed Aug 24 18:47:24 2022 ] 	Top1: 61.85%
+[ Wed Aug 24 18:47:24 2022 ] 	Top5: 89.03%
+[ Wed Aug 24 18:47:24 2022 ] Training epoch: 90
+[ Wed Aug 24 18:48:06 2022 ] 	Training loss: 1.0539.  Training acc: 90.89%.
+[ Wed Aug 24 18:48:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:48:06 2022 ] Eval epoch: 90
+[ Wed Aug 24 18:48:50 2022 ] 	Mean test loss of 312 batches: 1.871600.
+[ Wed Aug 24 18:48:50 2022 ] 	Top1: 63.09%
+[ Wed Aug 24 18:48:50 2022 ] 	Top5: 90.23%
+[ Wed Aug 24 18:48:50 2022 ] Training epoch: 91
+[ Wed Aug 24 18:49:34 2022 ] 	Training loss: 0.9478.  Training acc: 95.01%.
+[ Wed Aug 24 18:49:34 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:49:34 2022 ] Eval epoch: 91
+[ Wed Aug 24 18:50:27 2022 ] 	Mean test loss of 312 batches: 1.629920.
+[ Wed Aug 24 18:50:27 2022 ] 	Top1: 70.23%
+[ Wed Aug 24 18:50:27 2022 ] 	Top5: 94.11%
+[ Wed Aug 24 18:50:27 2022 ] Training epoch: 92
+[ Wed Aug 24 18:51:16 2022 ] 	Training loss: 0.9044.  Training acc: 96.50%.
+[ Wed Aug 24 18:51:16 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:51:16 2022 ] Eval epoch: 92
+[ Wed Aug 24 18:51:55 2022 ] 	Mean test loss of 312 batches: 1.584901.
+[ Wed Aug 24 18:51:56 2022 ] 	Top1: 71.94%
+[ Wed Aug 24 18:51:56 2022 ] 	Top5: 94.76%
+[ Wed Aug 24 18:51:56 2022 ] Training epoch: 93
+[ Wed Aug 24 18:52:43 2022 ] 	Training loss: 0.8885.  Training acc: 97.17%.
+[ Wed Aug 24 18:52:43 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:52:43 2022 ] Eval epoch: 93
+[ Wed Aug 24 18:53:49 2022 ] 	Mean test loss of 312 batches: 1.606808.
+[ Wed Aug 24 18:53:49 2022 ] 	Top1: 71.45%
+[ Wed Aug 24 18:53:49 2022 ] 	Top5: 94.21%
+[ Wed Aug 24 18:53:50 2022 ] Training epoch: 94
+[ Wed Aug 24 18:54:31 2022 ] 	Training loss: 0.8821.  Training acc: 97.31%.
+[ Wed Aug 24 18:54:31 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 18:54:31 2022 ] Eval epoch: 94
+[ Wed Aug 24 18:55:12 2022 ] 	Mean test loss of 312 batches: 1.616920.
+[ Wed Aug 24 18:55:12 2022 ] 	Top1: 70.96%
+[ Wed Aug 24 18:55:13 2022 ] 	Top5: 94.06%
+[ Wed Aug 24 18:55:13 2022 ] Training epoch: 95
+[ Wed Aug 24 18:56:02 2022 ] 	Training loss: 0.8724.  Training acc: 97.84%.
+[ Wed Aug 24 18:56:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:56:02 2022 ] Eval epoch: 95
+[ Wed Aug 24 18:56:37 2022 ] 	Mean test loss of 312 batches: 1.611542.
+[ Wed Aug 24 18:56:37 2022 ] 	Top1: 71.38%
+[ Wed Aug 24 18:56:37 2022 ] 	Top5: 94.23%
+[ Wed Aug 24 18:56:37 2022 ] Training epoch: 96
+[ Wed Aug 24 18:57:19 2022 ] 	Training loss: 0.8728.  Training acc: 97.54%.
+[ Wed Aug 24 18:57:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:57:19 2022 ] Eval epoch: 96
+[ Wed Aug 24 18:58:04 2022 ] 	Mean test loss of 312 batches: 1.613182.
+[ Wed Aug 24 18:58:04 2022 ] 	Top1: 71.22%
+[ Wed Aug 24 18:58:04 2022 ] 	Top5: 94.05%
+[ Wed Aug 24 18:58:04 2022 ] Training epoch: 97
+[ Wed Aug 24 18:58:52 2022 ] 	Training loss: 0.8591.  Training acc: 98.08%.
+[ Wed Aug 24 18:58:52 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 18:58:52 2022 ] Eval epoch: 97
+[ Wed Aug 24 18:59:43 2022 ] 	Mean test loss of 312 batches: 1.588742.
+[ Wed Aug 24 18:59:43 2022 ] 	Top1: 72.17%
+[ Wed Aug 24 18:59:43 2022 ] 	Top5: 94.49%
+[ Wed Aug 24 18:59:43 2022 ] Training epoch: 98
+[ Wed Aug 24 19:00:27 2022 ] 	Training loss: 0.8525.  Training acc: 98.19%.
+[ Wed Aug 24 19:00:27 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 19:00:27 2022 ] Eval epoch: 98
+[ Wed Aug 24 19:01:19 2022 ] 	Mean test loss of 312 batches: 1.615370.
+[ Wed Aug 24 19:01:19 2022 ] 	Top1: 71.36%
+[ Wed Aug 24 19:01:19 2022 ] 	Top5: 94.15%
+[ Wed Aug 24 19:01:19 2022 ] Training epoch: 99
+[ Wed Aug 24 19:02:14 2022 ] 	Training loss: 0.8531.  Training acc: 98.28%.
+[ Wed Aug 24 19:02:14 2022 ] 	Time consumption: [Data]03%, [Network]97%
+[ Wed Aug 24 19:02:14 2022 ] Eval epoch: 99
+[ Wed Aug 24 19:02:45 2022 ] 	Mean test loss of 312 batches: 1.611268.
+[ Wed Aug 24 19:02:45 2022 ] 	Top1: 71.32%
+[ Wed Aug 24 19:02:45 2022 ] 	Top5: 94.09%
+[ Wed Aug 24 19:02:45 2022 ] Training epoch: 100
+[ Wed Aug 24 19:03:33 2022 ] 	Training loss: 0.8536.  Training acc: 98.28%.
+[ Wed Aug 24 19:03:33 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:03:33 2022 ] Eval epoch: 100
+[ Wed Aug 24 19:04:35 2022 ] 	Mean test loss of 312 batches: 1.595477.
+[ Wed Aug 24 19:04:35 2022 ] 	Top1: 72.06%
+[ Wed Aug 24 19:04:36 2022 ] 	Top5: 94.37%
+[ Wed Aug 24 19:04:36 2022 ] Training epoch: 101
+[ Wed Aug 24 19:05:19 2022 ] 	Training loss: 0.8463.  Training acc: 98.41%.
+[ Wed Aug 24 19:05:19 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:05:19 2022 ] Eval epoch: 101
+[ Wed Aug 24 19:05:50 2022 ] 	Mean test loss of 312 batches: 1.606938.
+[ Wed Aug 24 19:05:50 2022 ] 	Top1: 71.58%
+[ Wed Aug 24 19:05:50 2022 ] 	Top5: 94.13%
+[ Wed Aug 24 19:05:51 2022 ] Training epoch: 102
+[ Wed Aug 24 19:06:36 2022 ] 	Training loss: 0.8407.  Training acc: 98.74%.
+[ Wed Aug 24 19:06:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:06:36 2022 ] Eval epoch: 102
+[ Wed Aug 24 19:07:10 2022 ] 	Mean test loss of 312 batches: 1.607941.
+[ Wed Aug 24 19:07:10 2022 ] 	Top1: 71.50%
+[ Wed Aug 24 19:07:10 2022 ] 	Top5: 94.06%
+[ Wed Aug 24 19:07:10 2022 ] Training epoch: 103
+[ Wed Aug 24 19:07:57 2022 ] 	Training loss: 0.8422.  Training acc: 98.58%.
+[ Wed Aug 24 19:07:57 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:07:57 2022 ] Eval epoch: 103
+[ Wed Aug 24 19:08:33 2022 ] 	Mean test loss of 312 batches: 1.601916.
+[ Wed Aug 24 19:08:33 2022 ] 	Top1: 71.89%
+[ Wed Aug 24 19:08:33 2022 ] 	Top5: 94.13%
+[ Wed Aug 24 19:08:34 2022 ] Training epoch: 104
+[ Wed Aug 24 19:09:24 2022 ] 	Training loss: 0.8396.  Training acc: 98.55%.
+[ Wed Aug 24 19:09:24 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:09:24 2022 ] Eval epoch: 104
+[ Wed Aug 24 19:10:16 2022 ] 	Mean test loss of 312 batches: 1.600880.
+[ Wed Aug 24 19:10:16 2022 ] 	Top1: 71.86%
+[ Wed Aug 24 19:10:16 2022 ] 	Top5: 94.20%
+[ Wed Aug 24 19:10:16 2022 ] Training epoch: 105
+[ Wed Aug 24 19:11:03 2022 ] 	Training loss: 0.8405.  Training acc: 98.74%.
+[ Wed Aug 24 19:11:03 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:11:03 2022 ] Eval epoch: 105
+[ Wed Aug 24 19:11:43 2022 ] 	Mean test loss of 312 batches: 1.603799.
+[ Wed Aug 24 19:11:43 2022 ] 	Top1: 71.85%
+[ Wed Aug 24 19:11:44 2022 ] 	Top5: 94.08%
+[ Wed Aug 24 19:11:44 2022 ] Training epoch: 106
+[ Wed Aug 24 19:12:36 2022 ] 	Training loss: 0.8407.  Training acc: 98.67%.
+[ Wed Aug 24 19:12:36 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:12:36 2022 ] Eval epoch: 106
+[ Wed Aug 24 19:13:22 2022 ] 	Mean test loss of 312 batches: 1.598630.
+[ Wed Aug 24 19:13:22 2022 ] 	Top1: 72.01%
+[ Wed Aug 24 19:13:22 2022 ] 	Top5: 94.27%
+[ Wed Aug 24 19:13:22 2022 ] Training epoch: 107
+[ Wed Aug 24 19:14:02 2022 ] 	Training loss: 0.8397.  Training acc: 98.62%.
+[ Wed Aug 24 19:14:02 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:14:02 2022 ] Eval epoch: 107
+[ Wed Aug 24 19:14:33 2022 ] 	Mean test loss of 312 batches: 1.605208.
+[ Wed Aug 24 19:14:33 2022 ] 	Top1: 71.73%
+[ Wed Aug 24 19:14:33 2022 ] 	Top5: 94.11%
+[ Wed Aug 24 19:14:33 2022 ] Training epoch: 108
+[ Wed Aug 24 19:15:13 2022 ] 	Training loss: 0.8431.  Training acc: 98.46%.
+[ Wed Aug 24 19:15:13 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:15:13 2022 ] Eval epoch: 108
+[ Wed Aug 24 19:15:42 2022 ] 	Mean test loss of 312 batches: 1.612591.
+[ Wed Aug 24 19:15:43 2022 ] 	Top1: 71.52%
+[ Wed Aug 24 19:15:43 2022 ] 	Top5: 93.97%
+[ Wed Aug 24 19:15:43 2022 ] Training epoch: 109
+[ Wed Aug 24 19:16:21 2022 ] 	Training loss: 0.8408.  Training acc: 98.59%.
+[ Wed Aug 24 19:16:21 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:16:21 2022 ] Eval epoch: 109
+[ Wed Aug 24 19:16:53 2022 ] 	Mean test loss of 312 batches: 1.602634.
+[ Wed Aug 24 19:16:54 2022 ] 	Top1: 71.68%
+[ Wed Aug 24 19:16:54 2022 ] 	Top5: 94.17%
+[ Wed Aug 24 19:16:54 2022 ] Training epoch: 110
+[ Wed Aug 24 19:17:31 2022 ] 	Training loss: 0.8390.  Training acc: 98.74%.
+[ Wed Aug 24 19:17:31 2022 ] 	Time consumption: [Data]02%, [Network]98%
+[ Wed Aug 24 19:17:31 2022 ] Eval epoch: 110
+[ Wed Aug 24 19:17:56 2022 ] 	Mean test loss of 312 batches: 1.605217.
+[ Wed Aug 24 19:17:56 2022 ] 	Top1: 71.70%
+[ Wed Aug 24 19:17:56 2022 ] 	Top5: 94.01%