[ Tue Sep 27 12:59:55 2022 ] using warm up, epoch: 5
[ Tue Sep 27 13:00:19 2022 ] Parameters:
{'work_dir': 'work_dir/ntu120/cset/fc_bone', 'model_saved_name': 'work_dir/ntu120/cset/fc_bone/runs', 'config': 'config/nturgbd120-cross-set/fc_bone.yaml', 'phase': 'train', 'save_score': False, 'joint_label': [], 'seed': 1, 'log_interval': 100, 'save_interval': 1, 'save_epoch': 35, 'eval_interval': 5, 'ema': False, 'print_log': True, 'show_topk': [1, 5], 'feeder': 'feeders.feeder_ntu.Feeder', 'num_worker': 48, 'train_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'train', 'debug': False, 'random_choose': False, 'random_shift': False, 'random_move': False, 'window_size': 64, 'normalization': False, 'random_rot': True, 'p_interval': [0.5, 1], 'vel': False, 'bone': True}, 'test_feeder_args': {'data_path': 'data/ntu120/NTU120_CSet.npz', 'split': 'test', 'window_size': 64, 'p_interval': [0.95], 'vel': False, 'bone': True, 'debug': False}, 'model': 'model.FC-Chains_L_multi_head_new_12_layers.Model', 'model_args': {'num_class': 120, 'num_point': 25, 'num_person': 2}, 'weights': None, 'ignore_weights': [], 'base_lr': 0.1, 'step': [90, 100], 'device': [5], 'optimizer': 'SGD', 'nesterov': True, 'momentum': 0.9, 'batch_size': 64, 'test_batch_size': 64, 'start_epoch': 0, 'num_epoch': 110, 'weight_decay': 0.0004, 'lr_decay_rate': 0.1, 'warm_up_epoch': 5}

[ Tue Sep 27 13:00:19 2022 ] # Parameters: 2112877
[ Tue Sep 27 13:00:19 2022 ] Training epoch: 1
[ Tue Sep 27 13:04:36 2022 ] 	Mean training loss: 3.3817. loss2: 0.0000. Mean training acc: 18.96%.
[ Tue Sep 27 13:04:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:04:36 2022 ] Eval epoch: 1
[ Tue Sep 27 13:06:16 2022 ] 	Mean test loss of 930 batches: 2.4246349393680533.
[ Tue Sep 27 13:06:16 2022 ] 	Top1: 35.41%
[ Tue Sep 27 13:06:17 2022 ] 	Top5: 71.44%
[ Tue Sep 27 13:06:17 2022 ] Training epoch: 2
[ Tue Sep 27 13:10:30 2022 ] 	Mean training loss: 2.0266. loss2: 0.0000. Mean training acc: 43.31%.
[ Tue Sep 27 13:10:30 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:10:30 2022 ] Eval epoch: 2
[ Tue Sep 27 13:12:10 2022 ] 	Mean test loss of 930 batches: 1.650982089260573.
[ Tue Sep 27 13:12:10 2022 ] 	Top1: 53.67%
[ Tue Sep 27 13:12:11 2022 ] 	Top5: 84.84%
[ Tue Sep 27 13:12:11 2022 ] Training epoch: 3
[ Tue Sep 27 13:16:24 2022 ] 	Mean training loss: 1.5622. loss2: 0.0000. Mean training acc: 54.52%.
[ Tue Sep 27 13:16:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:16:24 2022 ] Eval epoch: 3
[ Tue Sep 27 13:18:03 2022 ] 	Mean test loss of 930 batches: 1.8157642784939017.
[ Tue Sep 27 13:18:04 2022 ] 	Top1: 50.24%
[ Tue Sep 27 13:18:04 2022 ] 	Top5: 82.72%
[ Tue Sep 27 13:18:05 2022 ] Training epoch: 4
[ Tue Sep 27 13:22:18 2022 ] 	Mean training loss: 1.3263. loss2: 0.0000. Mean training acc: 60.95%.
[ Tue Sep 27 13:22:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:22:18 2022 ] Eval epoch: 4
[ Tue Sep 27 13:23:57 2022 ] 	Mean test loss of 930 batches: 1.363657735688712.
[ Tue Sep 27 13:23:58 2022 ] 	Top1: 60.40%
[ Tue Sep 27 13:23:58 2022 ] 	Top5: 88.99%
[ Tue Sep 27 13:23:58 2022 ] Training epoch: 5
[ Tue Sep 27 13:28:12 2022 ] 	Mean training loss: 1.2062. loss2: 0.0000. Mean training acc: 64.32%.
[ Tue Sep 27 13:28:12 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:28:12 2022 ] Eval epoch: 5
[ Tue Sep 27 13:29:51 2022 ] 	Mean test loss of 930 batches: 1.278347857408626.
[ Tue Sep 27 13:29:52 2022 ] 	Top1: 63.13%
[ Tue Sep 27 13:29:52 2022 ] 	Top5: 89.39%
[ Tue Sep 27 13:29:52 2022 ] Training epoch: 6
[ Tue Sep 27 13:34:06 2022 ] 	Mean training loss: 1.0701. loss2: 0.0000. Mean training acc: 67.89%.
[ Tue Sep 27 13:34:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:34:06 2022 ] Eval epoch: 6
[ Tue Sep 27 13:35:45 2022 ] 	Mean test loss of 930 batches: 1.2260206920485344.
[ Tue Sep 27 13:35:46 2022 ] 	Top1: 62.64%
[ Tue Sep 27 13:35:46 2022 ] 	Top5: 91.12%
[ Tue Sep 27 13:35:46 2022 ] Training epoch: 7
[ Tue Sep 27 13:40:00 2022 ] 	Mean training loss: 0.9935. loss2: 0.0000. Mean training acc: 70.04%.
[ Tue Sep 27 13:40:00 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:40:00 2022 ] Eval epoch: 7
[ Tue Sep 27 13:41:40 2022 ] 	Mean test loss of 930 batches: 1.2976089638407513.
[ Tue Sep 27 13:41:40 2022 ] 	Top1: 63.06%
[ Tue Sep 27 13:41:41 2022 ] 	Top5: 90.26%
[ Tue Sep 27 13:41:41 2022 ] Training epoch: 8
[ Tue Sep 27 13:45:54 2022 ] 	Mean training loss: 0.9344. loss2: 0.0000. Mean training acc: 71.63%.
[ Tue Sep 27 13:45:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:45:54 2022 ] Eval epoch: 8
[ Tue Sep 27 13:47:34 2022 ] 	Mean test loss of 930 batches: 1.13586293484575.
[ Tue Sep 27 13:47:34 2022 ] 	Top1: 67.49%
[ Tue Sep 27 13:47:35 2022 ] 	Top5: 91.77%
[ Tue Sep 27 13:47:35 2022 ] Training epoch: 9
[ Tue Sep 27 13:51:48 2022 ] 	Mean training loss: 0.8908. loss2: 0.0000. Mean training acc: 72.93%.
[ Tue Sep 27 13:51:48 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:51:48 2022 ] Eval epoch: 9
[ Tue Sep 27 13:53:28 2022 ] 	Mean test loss of 930 batches: 1.2928085718744544.
[ Tue Sep 27 13:53:28 2022 ] 	Top1: 63.45%
[ Tue Sep 27 13:53:29 2022 ] 	Top5: 90.47%
[ Tue Sep 27 13:53:29 2022 ] Training epoch: 10
[ Tue Sep 27 13:57:43 2022 ] 	Mean training loss: 0.8606. loss2: 0.0000. Mean training acc: 73.97%.
[ Tue Sep 27 13:57:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 13:57:43 2022 ] Eval epoch: 10
[ Tue Sep 27 13:59:23 2022 ] 	Mean test loss of 930 batches: 1.2905771990937571.
[ Tue Sep 27 13:59:23 2022 ] 	Top1: 64.86%
[ Tue Sep 27 13:59:24 2022 ] 	Top5: 90.07%
[ Tue Sep 27 13:59:24 2022 ] Training epoch: 11
[ Tue Sep 27 14:03:38 2022 ] 	Mean training loss: 0.8358. loss2: 0.0000. Mean training acc: 74.54%.
[ Tue Sep 27 14:03:38 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:03:38 2022 ] Eval epoch: 11
[ Tue Sep 27 14:05:18 2022 ] 	Mean test loss of 930 batches: 1.005845026896205.
[ Tue Sep 27 14:05:18 2022 ] 	Top1: 71.07%
[ Tue Sep 27 14:05:19 2022 ] 	Top5: 93.08%
[ Tue Sep 27 14:05:19 2022 ] Training epoch: 12
[ Tue Sep 27 14:09:32 2022 ] 	Mean training loss: 0.8070. loss2: 0.0000. Mean training acc: 75.46%.
[ Tue Sep 27 14:09:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:09:32 2022 ] Eval epoch: 12
[ Tue Sep 27 14:11:12 2022 ] 	Mean test loss of 930 batches: 1.131030572678453.
[ Tue Sep 27 14:11:13 2022 ] 	Top1: 67.76%
[ Tue Sep 27 14:11:13 2022 ] 	Top5: 92.33%
[ Tue Sep 27 14:11:13 2022 ] Training epoch: 13
[ Tue Sep 27 14:15:27 2022 ] 	Mean training loss: 0.7858. loss2: 0.0000. Mean training acc: 76.25%.
[ Tue Sep 27 14:15:27 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:15:27 2022 ] Eval epoch: 13
[ Tue Sep 27 14:17:06 2022 ] 	Mean test loss of 930 batches: 1.0040403304881946.
[ Tue Sep 27 14:17:07 2022 ] 	Top1: 71.68%
[ Tue Sep 27 14:17:07 2022 ] 	Top5: 93.25%
[ Tue Sep 27 14:17:07 2022 ] Training epoch: 14
[ Tue Sep 27 14:21:21 2022 ] 	Mean training loss: 0.7632. loss2: 0.0000. Mean training acc: 76.77%.
[ Tue Sep 27 14:21:21 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:21:21 2022 ] Eval epoch: 14
[ Tue Sep 27 14:23:01 2022 ] 	Mean test loss of 930 batches: 0.9349890713089256.
[ Tue Sep 27 14:23:01 2022 ] 	Top1: 72.48%
[ Tue Sep 27 14:23:02 2022 ] 	Top5: 93.66%
[ Tue Sep 27 14:23:02 2022 ] Training epoch: 15
[ Tue Sep 27 14:27:16 2022 ] 	Mean training loss: 0.7467. loss2: 0.0000. Mean training acc: 76.98%.
[ Tue Sep 27 14:27:16 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:27:16 2022 ] Eval epoch: 15
[ Tue Sep 27 14:28:55 2022 ] 	Mean test loss of 930 batches: 0.9050796772523593.
[ Tue Sep 27 14:28:56 2022 ] 	Top1: 73.98%
[ Tue Sep 27 14:28:56 2022 ] 	Top5: 93.71%
[ Tue Sep 27 14:28:56 2022 ] Training epoch: 16
[ Tue Sep 27 14:33:11 2022 ] 	Mean training loss: 0.7406. loss2: 0.0000. Mean training acc: 77.39%.
[ Tue Sep 27 14:33:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:33:11 2022 ] Eval epoch: 16
[ Tue Sep 27 14:34:50 2022 ] 	Mean test loss of 930 batches: 0.9512973011501373.
[ Tue Sep 27 14:34:51 2022 ] 	Top1: 73.10%
[ Tue Sep 27 14:34:51 2022 ] 	Top5: 93.40%
[ Tue Sep 27 14:34:51 2022 ] Training epoch: 17
[ Tue Sep 27 14:39:05 2022 ] 	Mean training loss: 0.7295. loss2: 0.0000. Mean training acc: 77.56%.
[ Tue Sep 27 14:39:05 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:39:05 2022 ] Eval epoch: 17
[ Tue Sep 27 14:40:45 2022 ] 	Mean test loss of 930 batches: 0.9119681131455206.
[ Tue Sep 27 14:40:46 2022 ] 	Top1: 73.33%
[ Tue Sep 27 14:40:46 2022 ] 	Top5: 93.59%
[ Tue Sep 27 14:40:46 2022 ] Training epoch: 18
[ Tue Sep 27 14:44:59 2022 ] 	Mean training loss: 0.7230. loss2: 0.0000. Mean training acc: 77.91%.
[ Tue Sep 27 14:44:59 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:44:59 2022 ] Eval epoch: 18
[ Tue Sep 27 14:46:39 2022 ] 	Mean test loss of 930 batches: 0.9611324649985119.
[ Tue Sep 27 14:46:40 2022 ] 	Top1: 72.36%
[ Tue Sep 27 14:46:41 2022 ] 	Top5: 93.32%
[ Tue Sep 27 14:46:41 2022 ] Training epoch: 19
[ Tue Sep 27 14:50:54 2022 ] 	Mean training loss: 0.7108. loss2: 0.0000. Mean training acc: 78.13%.
[ Tue Sep 27 14:50:54 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 14:50:54 2022 ] Eval epoch: 19
[ Tue Sep 27 14:52:34 2022 ] 	Mean test loss of 930 batches: 0.9863463868056574.
[ Tue Sep 27 14:52:34 2022 ] 	Top1: 71.78%
[ Tue Sep 27 14:52:35 2022 ] 	Top5: 92.92%
[ Tue Sep 27 14:52:35 2022 ] Training epoch: 20
[ Tue Sep 27 14:56:49 2022 ] 	Mean training loss: 0.6990. loss2: 0.0000. Mean training acc: 78.50%.
[ Tue Sep 27 14:56:49 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 14:56:49 2022 ] Eval epoch: 20
[ Tue Sep 27 14:58:28 2022 ] 	Mean test loss of 930 batches: 0.9238600343465805.
[ Tue Sep 27 14:58:29 2022 ] 	Top1: 73.67%
[ Tue Sep 27 14:58:29 2022 ] 	Top5: 94.06%
[ Tue Sep 27 14:58:30 2022 ] Training epoch: 21
[ Tue Sep 27 15:02:43 2022 ] 	Mean training loss: 0.7010. loss2: 0.0000. Mean training acc: 78.60%.
[ Tue Sep 27 15:02:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:02:43 2022 ] Eval epoch: 21
[ Tue Sep 27 15:04:23 2022 ] 	Mean test loss of 930 batches: 0.8517830342374823.
[ Tue Sep 27 15:04:24 2022 ] 	Top1: 75.51%
[ Tue Sep 27 15:04:24 2022 ] 	Top5: 94.27%
[ Tue Sep 27 15:04:24 2022 ] Training epoch: 22
[ Tue Sep 27 15:08:37 2022 ] 	Mean training loss: 0.6965. loss2: 0.0000. Mean training acc: 78.64%.
[ Tue Sep 27 15:08:37 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:08:37 2022 ] Eval epoch: 22
[ Tue Sep 27 15:10:17 2022 ] 	Mean test loss of 930 batches: 0.8592666607550395.
[ Tue Sep 27 15:10:18 2022 ] 	Top1: 75.27%
[ Tue Sep 27 15:10:18 2022 ] 	Top5: 94.68%
[ Tue Sep 27 15:10:18 2022 ] Training epoch: 23
[ Tue Sep 27 15:14:32 2022 ] 	Mean training loss: 0.6932. loss2: 0.0000. Mean training acc: 78.86%.
[ Tue Sep 27 15:14:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:14:32 2022 ] Eval epoch: 23
[ Tue Sep 27 15:16:11 2022 ] 	Mean test loss of 930 batches: 0.7859682436591835.
[ Tue Sep 27 15:16:12 2022 ] 	Top1: 76.59%
[ Tue Sep 27 15:16:12 2022 ] 	Top5: 94.87%
[ Tue Sep 27 15:16:13 2022 ] Training epoch: 24
[ Tue Sep 27 15:20:26 2022 ] 	Mean training loss: 0.6840. loss2: 0.0000. Mean training acc: 79.09%.
[ Tue Sep 27 15:20:26 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:20:26 2022 ] Eval epoch: 24
[ Tue Sep 27 15:22:06 2022 ] 	Mean test loss of 930 batches: 0.8365418555595542.
[ Tue Sep 27 15:22:06 2022 ] 	Top1: 75.09%
[ Tue Sep 27 15:22:07 2022 ] 	Top5: 94.76%
[ Tue Sep 27 15:22:07 2022 ] Training epoch: 25
[ Tue Sep 27 15:26:20 2022 ] 	Mean training loss: 0.6771. loss2: 0.0000. Mean training acc: 79.16%.
[ Tue Sep 27 15:26:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:26:20 2022 ] Eval epoch: 25
[ Tue Sep 27 15:28:00 2022 ] 	Mean test loss of 930 batches: 0.8398558102468009.
[ Tue Sep 27 15:28:01 2022 ] 	Top1: 75.34%
[ Tue Sep 27 15:28:01 2022 ] 	Top5: 94.61%
[ Tue Sep 27 15:28:01 2022 ] Training epoch: 26
[ Tue Sep 27 15:32:14 2022 ] 	Mean training loss: 0.6737. loss2: 0.0000. Mean training acc: 79.25%.
[ Tue Sep 27 15:32:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:32:14 2022 ] Eval epoch: 26
[ Tue Sep 27 15:33:54 2022 ] 	Mean test loss of 930 batches: 1.1680637368591882.
[ Tue Sep 27 15:33:55 2022 ] 	Top1: 67.20%
[ Tue Sep 27 15:33:55 2022 ] 	Top5: 91.98%
[ Tue Sep 27 15:33:55 2022 ] Training epoch: 27
[ Tue Sep 27 15:38:09 2022 ] 	Mean training loss: 0.6738. loss2: 0.0000. Mean training acc: 79.18%.
[ Tue Sep 27 15:38:09 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:38:09 2022 ] Eval epoch: 27
[ Tue Sep 27 15:39:50 2022 ] 	Mean test loss of 930 batches: 1.1166398589329054.
[ Tue Sep 27 15:39:50 2022 ] 	Top1: 69.01%
[ Tue Sep 27 15:39:51 2022 ] 	Top5: 91.85%
[ Tue Sep 27 15:39:51 2022 ] Training epoch: 28
[ Tue Sep 27 15:44:04 2022 ] 	Mean training loss: 0.6725. loss2: 0.0000. Mean training acc: 79.28%.
[ Tue Sep 27 15:44:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 15:44:04 2022 ] Eval epoch: 28
[ Tue Sep 27 15:45:44 2022 ] 	Mean test loss of 930 batches: 0.8599274444323715.
[ Tue Sep 27 15:45:44 2022 ] 	Top1: 74.35%
[ Tue Sep 27 15:45:45 2022 ] 	Top5: 94.57%
[ Tue Sep 27 15:45:45 2022 ] Training epoch: 29
[ Tue Sep 27 15:49:59 2022 ] 	Mean training loss: 0.6682. loss2: 0.0000. Mean training acc: 79.26%.
[ Tue Sep 27 15:49:59 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:49:59 2022 ] Eval epoch: 29
[ Tue Sep 27 15:51:39 2022 ] 	Mean test loss of 930 batches: 1.0763608029452703.
[ Tue Sep 27 15:51:39 2022 ] 	Top1: 69.59%
[ Tue Sep 27 15:51:40 2022 ] 	Top5: 92.14%
[ Tue Sep 27 15:51:40 2022 ] Training epoch: 30
[ Tue Sep 27 15:55:54 2022 ] 	Mean training loss: 0.6696. loss2: 0.0000. Mean training acc: 79.28%.
[ Tue Sep 27 15:55:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 15:55:54 2022 ] Eval epoch: 30
[ Tue Sep 27 15:57:34 2022 ] 	Mean test loss of 930 batches: 0.8337253120797936.
[ Tue Sep 27 15:57:35 2022 ] 	Top1: 75.55%
[ Tue Sep 27 15:57:35 2022 ] 	Top5: 94.85%
[ Tue Sep 27 15:57:35 2022 ] Training epoch: 31
[ Tue Sep 27 16:01:49 2022 ] 	Mean training loss: 0.6712. loss2: 0.0000. Mean training acc: 79.33%.
[ Tue Sep 27 16:01:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:01:49 2022 ] Eval epoch: 31
[ Tue Sep 27 16:03:29 2022 ] 	Mean test loss of 930 batches: 0.886205826875984.
[ Tue Sep 27 16:03:29 2022 ] 	Top1: 74.26%
[ Tue Sep 27 16:03:30 2022 ] 	Top5: 94.02%
[ Tue Sep 27 16:03:30 2022 ] Training epoch: 32
[ Tue Sep 27 16:07:43 2022 ] 	Mean training loss: 0.6614. loss2: 0.0000. Mean training acc: 79.72%.
[ Tue Sep 27 16:07:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:07:43 2022 ] Eval epoch: 32
[ Tue Sep 27 16:09:23 2022 ] 	Mean test loss of 930 batches: 0.9061308916537992.
[ Tue Sep 27 16:09:24 2022 ] 	Top1: 73.80%
[ Tue Sep 27 16:09:24 2022 ] 	Top5: 94.18%
[ Tue Sep 27 16:09:24 2022 ] Training epoch: 33
[ Tue Sep 27 16:13:37 2022 ] 	Mean training loss: 0.6561. loss2: 0.0000. Mean training acc: 79.79%.
[ Tue Sep 27 16:13:37 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:13:37 2022 ] Eval epoch: 33
[ Tue Sep 27 16:15:17 2022 ] 	Mean test loss of 930 batches: 0.856108235543774.
[ Tue Sep 27 16:15:17 2022 ] 	Top1: 75.06%
[ Tue Sep 27 16:15:18 2022 ] 	Top5: 94.54%
[ Tue Sep 27 16:15:18 2022 ] Training epoch: 34
[ Tue Sep 27 16:19:32 2022 ] 	Mean training loss: 0.6619. loss2: 0.0000. Mean training acc: 79.67%.
[ Tue Sep 27 16:19:32 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:19:32 2022 ] Eval epoch: 34
[ Tue Sep 27 16:21:12 2022 ] 	Mean test loss of 930 batches: 0.847459447159562.
[ Tue Sep 27 16:21:12 2022 ] 	Top1: 75.17%
[ Tue Sep 27 16:21:13 2022 ] 	Top5: 94.38%
[ Tue Sep 27 16:21:13 2022 ] Training epoch: 35
[ Tue Sep 27 16:25:26 2022 ] 	Mean training loss: 0.6656. loss2: 0.0000. Mean training acc: 79.54%.
[ Tue Sep 27 16:25:26 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:25:26 2022 ] Eval epoch: 35
[ Tue Sep 27 16:27:06 2022 ] 	Mean test loss of 930 batches: 0.7993241642752001.
[ Tue Sep 27 16:27:07 2022 ] 	Top1: 76.70%
[ Tue Sep 27 16:27:07 2022 ] 	Top5: 95.00%
[ Tue Sep 27 16:27:07 2022 ] Training epoch: 36
[ Tue Sep 27 16:31:20 2022 ] 	Mean training loss: 0.6553. loss2: 0.0000. Mean training acc: 79.91%.
[ Tue Sep 27 16:31:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:31:21 2022 ] Eval epoch: 36
[ Tue Sep 27 16:33:00 2022 ] 	Mean test loss of 930 batches: 0.9236453557847648.
[ Tue Sep 27 16:33:01 2022 ] 	Top1: 73.29%
[ Tue Sep 27 16:33:01 2022 ] 	Top5: 93.72%
[ Tue Sep 27 16:33:01 2022 ] Training epoch: 37
[ Tue Sep 27 16:37:15 2022 ] 	Mean training loss: 0.6551. loss2: 0.0000. Mean training acc: 79.78%.
[ Tue Sep 27 16:37:15 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:37:15 2022 ] Eval epoch: 37
[ Tue Sep 27 16:38:55 2022 ] 	Mean test loss of 930 batches: 0.8629378274884275.
[ Tue Sep 27 16:38:55 2022 ] 	Top1: 75.28%
[ Tue Sep 27 16:38:56 2022 ] 	Top5: 94.32%
[ Tue Sep 27 16:38:56 2022 ] Training epoch: 38
[ Tue Sep 27 16:43:09 2022 ] 	Mean training loss: 0.6453. loss2: 0.0000. Mean training acc: 80.05%.
[ Tue Sep 27 16:43:09 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:43:09 2022 ] Eval epoch: 38
[ Tue Sep 27 16:44:49 2022 ] 	Mean test loss of 930 batches: 0.8341643764927823.
[ Tue Sep 27 16:44:50 2022 ] 	Top1: 75.30%
[ Tue Sep 27 16:44:50 2022 ] 	Top5: 94.83%
[ Tue Sep 27 16:44:50 2022 ] Training epoch: 39
[ Tue Sep 27 16:49:04 2022 ] 	Mean training loss: 0.6515. loss2: 0.0000. Mean training acc: 79.95%.
[ Tue Sep 27 16:49:04 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:49:04 2022 ] Eval epoch: 39
[ Tue Sep 27 16:50:44 2022 ] 	Mean test loss of 930 batches: 0.8056476452337799.
[ Tue Sep 27 16:50:45 2022 ] 	Top1: 76.10%
[ Tue Sep 27 16:50:45 2022 ] 	Top5: 95.01%
[ Tue Sep 27 16:50:45 2022 ] Training epoch: 40
[ Tue Sep 27 16:54:58 2022 ] 	Mean training loss: 0.6497. loss2: 0.0000. Mean training acc: 80.01%.
[ Tue Sep 27 16:54:58 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 16:54:58 2022 ] Eval epoch: 40
[ Tue Sep 27 16:56:38 2022 ] 	Mean test loss of 930 batches: 1.0175251068767681.
[ Tue Sep 27 16:56:39 2022 ] 	Top1: 71.65%
[ Tue Sep 27 16:56:39 2022 ] 	Top5: 93.13%
[ Tue Sep 27 16:56:39 2022 ] Training epoch: 41
[ Tue Sep 27 17:00:54 2022 ] 	Mean training loss: 0.6388. loss2: 0.0000. Mean training acc: 80.34%.
[ Tue Sep 27 17:00:54 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 17:00:54 2022 ] Eval epoch: 41
[ Tue Sep 27 17:02:34 2022 ] 	Mean test loss of 930 batches: 0.8299228186889361.
[ Tue Sep 27 17:02:34 2022 ] 	Top1: 75.54%
[ Tue Sep 27 17:02:35 2022 ] 	Top5: 94.33%
[ Tue Sep 27 17:02:35 2022 ] Training epoch: 42
[ Tue Sep 27 17:06:49 2022 ] 	Mean training loss: 0.6494. loss2: 0.0000. Mean training acc: 80.10%.
[ Tue Sep 27 17:06:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:06:49 2022 ] Eval epoch: 42
[ Tue Sep 27 17:08:29 2022 ] 	Mean test loss of 930 batches: 0.7826412943101698.
[ Tue Sep 27 17:08:29 2022 ] 	Top1: 76.92%
[ Tue Sep 27 17:08:30 2022 ] 	Top5: 94.99%
[ Tue Sep 27 17:08:30 2022 ] Training epoch: 43
[ Tue Sep 27 17:12:43 2022 ] 	Mean training loss: 0.6436. loss2: 0.0000. Mean training acc: 80.17%.
[ Tue Sep 27 17:12:43 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:12:43 2022 ] Eval epoch: 43
[ Tue Sep 27 17:14:23 2022 ] 	Mean test loss of 930 batches: 0.8892804786723147.
[ Tue Sep 27 17:14:23 2022 ] 	Top1: 74.47%
[ Tue Sep 27 17:14:24 2022 ] 	Top5: 94.06%
[ Tue Sep 27 17:14:24 2022 ] Training epoch: 44
[ Tue Sep 27 17:18:39 2022 ] 	Mean training loss: 0.6390. loss2: 0.0000. Mean training acc: 80.32%.
[ Tue Sep 27 17:18:39 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:18:39 2022 ] Eval epoch: 44
[ Tue Sep 27 17:20:19 2022 ] 	Mean test loss of 930 batches: 0.8423866614859591.
[ Tue Sep 27 17:20:19 2022 ] 	Top1: 75.46%
[ Tue Sep 27 17:20:20 2022 ] 	Top5: 94.67%
[ Tue Sep 27 17:20:20 2022 ] Training epoch: 45
[ Tue Sep 27 17:24:33 2022 ] 	Mean training loss: 0.6439. loss2: 0.0000. Mean training acc: 80.11%.
[ Tue Sep 27 17:24:33 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:24:33 2022 ] Eval epoch: 45
[ Tue Sep 27 17:26:13 2022 ] 	Mean test loss of 930 batches: 0.8231111336940078.
[ Tue Sep 27 17:26:14 2022 ] 	Top1: 76.23%
[ Tue Sep 27 17:26:14 2022 ] 	Top5: 94.81%
[ Tue Sep 27 17:26:14 2022 ] Training epoch: 46
[ Tue Sep 27 17:30:27 2022 ] 	Mean training loss: 0.6373. loss2: 0.0000. Mean training acc: 80.24%.
[ Tue Sep 27 17:30:27 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:30:27 2022 ] Eval epoch: 46
[ Tue Sep 27 17:32:07 2022 ] 	Mean test loss of 930 batches: 0.774221779261866.
[ Tue Sep 27 17:32:08 2022 ] 	Top1: 77.03%
[ Tue Sep 27 17:32:09 2022 ] 	Top5: 95.11%
[ Tue Sep 27 17:32:09 2022 ] Training epoch: 47
[ Tue Sep 27 17:36:22 2022 ] 	Mean training loss: 0.6372. loss2: 0.0000. Mean training acc: 80.40%.
[ Tue Sep 27 17:36:22 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:36:22 2022 ] Eval epoch: 47
[ Tue Sep 27 17:38:02 2022 ] 	Mean test loss of 930 batches: 0.900758504194598.
[ Tue Sep 27 17:38:03 2022 ] 	Top1: 73.95%
[ Tue Sep 27 17:38:03 2022 ] 	Top5: 93.95%
[ Tue Sep 27 17:38:03 2022 ] Training epoch: 48
[ Tue Sep 27 17:42:17 2022 ] 	Mean training loss: 0.6382. loss2: 0.0000. Mean training acc: 80.11%.
[ Tue Sep 27 17:42:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:42:17 2022 ] Eval epoch: 48
[ Tue Sep 27 17:43:57 2022 ] 	Mean test loss of 930 batches: 0.7574752245378751.
[ Tue Sep 27 17:43:57 2022 ] 	Top1: 77.91%
[ Tue Sep 27 17:43:58 2022 ] 	Top5: 95.32%
[ Tue Sep 27 17:43:58 2022 ] Training epoch: 49
[ Tue Sep 27 17:48:11 2022 ] 	Mean training loss: 0.6343. loss2: 0.0000. Mean training acc: 80.55%.
[ Tue Sep 27 17:48:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:48:12 2022 ] Eval epoch: 49
[ Tue Sep 27 17:49:52 2022 ] 	Mean test loss of 930 batches: 0.8923840001065244.
[ Tue Sep 27 17:49:52 2022 ] 	Top1: 74.29%
[ Tue Sep 27 17:49:53 2022 ] 	Top5: 94.07%
[ Tue Sep 27 17:49:53 2022 ] Training epoch: 50
[ Tue Sep 27 17:54:06 2022 ] 	Mean training loss: 0.6340. loss2: 0.0000. Mean training acc: 80.39%.
[ Tue Sep 27 17:54:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 17:54:06 2022 ] Eval epoch: 50
[ Tue Sep 27 17:55:46 2022 ] 	Mean test loss of 930 batches: 0.8245171521620084.
[ Tue Sep 27 17:55:46 2022 ] 	Top1: 75.92%
[ Tue Sep 27 17:55:47 2022 ] 	Top5: 94.77%
[ Tue Sep 27 17:55:47 2022 ] Training epoch: 51
[ Tue Sep 27 18:00:01 2022 ] 	Mean training loss: 0.6293. loss2: 0.0000. Mean training acc: 80.75%.
[ Tue Sep 27 18:00:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:00:01 2022 ] Eval epoch: 51
[ Tue Sep 27 18:01:41 2022 ] 	Mean test loss of 930 batches: 0.772298504492288.
[ Tue Sep 27 18:01:41 2022 ] 	Top1: 77.20%
[ Tue Sep 27 18:01:42 2022 ] 	Top5: 95.00%
[ Tue Sep 27 18:01:42 2022 ] Training epoch: 52
[ Tue Sep 27 18:05:55 2022 ] 	Mean training loss: 0.6285. loss2: 0.0000. Mean training acc: 80.64%.
[ Tue Sep 27 18:05:55 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:05:55 2022 ] Eval epoch: 52
[ Tue Sep 27 18:07:35 2022 ] 	Mean test loss of 930 batches: 0.9067247217701327.
[ Tue Sep 27 18:07:35 2022 ] 	Top1: 74.03%
[ Tue Sep 27 18:07:36 2022 ] 	Top5: 93.97%
[ Tue Sep 27 18:07:36 2022 ] Training epoch: 53
[ Tue Sep 27 18:11:49 2022 ] 	Mean training loss: 0.6302. loss2: 0.0000. Mean training acc: 80.55%.
[ Tue Sep 27 18:11:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:11:50 2022 ] Eval epoch: 53
[ Tue Sep 27 18:13:29 2022 ] 	Mean test loss of 930 batches: 1.1543921280612228.
[ Tue Sep 27 18:13:30 2022 ] 	Top1: 67.31%
[ Tue Sep 27 18:13:30 2022 ] 	Top5: 92.60%
[ Tue Sep 27 18:13:30 2022 ] Training epoch: 54
[ Tue Sep 27 18:17:44 2022 ] 	Mean training loss: 0.6257. loss2: 0.0000. Mean training acc: 80.60%.
[ Tue Sep 27 18:17:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:17:44 2022 ] Eval epoch: 54
[ Tue Sep 27 18:19:24 2022 ] 	Mean test loss of 930 batches: 0.8044440462864856.
[ Tue Sep 27 18:19:24 2022 ] 	Top1: 76.23%
[ Tue Sep 27 18:19:25 2022 ] 	Top5: 94.76%
[ Tue Sep 27 18:19:25 2022 ] Training epoch: 55
[ Tue Sep 27 18:23:38 2022 ] 	Mean training loss: 0.6250. loss2: 0.0000. Mean training acc: 80.81%.
[ Tue Sep 27 18:23:38 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 18:23:39 2022 ] Eval epoch: 55
[ Tue Sep 27 18:25:18 2022 ] 	Mean test loss of 930 batches: 0.7852346792977344.
[ Tue Sep 27 18:25:19 2022 ] 	Top1: 77.09%
[ Tue Sep 27 18:25:19 2022 ] 	Top5: 95.24%
[ Tue Sep 27 18:25:19 2022 ] Training epoch: 56
[ Tue Sep 27 18:29:34 2022 ] 	Mean training loss: 0.6277. loss2: 0.0000. Mean training acc: 80.37%.
[ Tue Sep 27 18:29:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:29:34 2022 ] Eval epoch: 56
[ Tue Sep 27 18:31:13 2022 ] 	Mean test loss of 930 batches: 0.9169277279607712.
[ Tue Sep 27 18:31:14 2022 ] 	Top1: 73.98%
[ Tue Sep 27 18:31:14 2022 ] 	Top5: 93.70%
[ Tue Sep 27 18:31:14 2022 ] Training epoch: 57
[ Tue Sep 27 18:35:28 2022 ] 	Mean training loss: 0.6240. loss2: 0.0000. Mean training acc: 80.92%.
[ Tue Sep 27 18:35:28 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:35:28 2022 ] Eval epoch: 57
[ Tue Sep 27 18:37:08 2022 ] 	Mean test loss of 930 batches: 0.7618265851210523.
[ Tue Sep 27 18:37:09 2022 ] 	Top1: 77.60%
[ Tue Sep 27 18:37:09 2022 ] 	Top5: 94.99%
[ Tue Sep 27 18:37:09 2022 ] Training epoch: 58
[ Tue Sep 27 18:41:23 2022 ] 	Mean training loss: 0.6319. loss2: 0.0000. Mean training acc: 80.56%.
[ Tue Sep 27 18:41:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:41:23 2022 ] Eval epoch: 58
[ Tue Sep 27 18:43:03 2022 ] 	Mean test loss of 930 batches: 0.853219928071704.
[ Tue Sep 27 18:43:03 2022 ] 	Top1: 75.38%
[ Tue Sep 27 18:43:04 2022 ] 	Top5: 94.07%
[ Tue Sep 27 18:43:04 2022 ] Training epoch: 59
[ Tue Sep 27 18:47:17 2022 ] 	Mean training loss: 0.6278. loss2: 0.0000. Mean training acc: 80.68%.
[ Tue Sep 27 18:47:17 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:47:17 2022 ] Eval epoch: 59
[ Tue Sep 27 18:48:57 2022 ] 	Mean test loss of 930 batches: 0.871892045550449.
[ Tue Sep 27 18:48:57 2022 ] 	Top1: 74.82%
[ Tue Sep 27 18:48:58 2022 ] 	Top5: 93.97%
[ Tue Sep 27 18:48:58 2022 ] Training epoch: 60
[ Tue Sep 27 18:53:11 2022 ] 	Mean training loss: 0.6302. loss2: 0.0000. Mean training acc: 80.67%.
[ Tue Sep 27 18:53:11 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:53:11 2022 ] Eval epoch: 60
[ Tue Sep 27 18:54:51 2022 ] 	Mean test loss of 930 batches: 0.7671450742790776.
[ Tue Sep 27 18:54:52 2022 ] 	Top1: 77.08%
[ Tue Sep 27 18:54:52 2022 ] 	Top5: 95.24%
[ Tue Sep 27 18:54:52 2022 ] Training epoch: 61
[ Tue Sep 27 18:59:06 2022 ] 	Mean training loss: 0.6252. loss2: 0.0000. Mean training acc: 80.73%.
[ Tue Sep 27 18:59:06 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 18:59:06 2022 ] Eval epoch: 61
[ Tue Sep 27 19:00:46 2022 ] 	Mean test loss of 930 batches: 0.7380477799523262.
[ Tue Sep 27 19:00:47 2022 ] 	Top1: 78.05%
[ Tue Sep 27 19:00:47 2022 ] 	Top5: 95.53%
[ Tue Sep 27 19:00:47 2022 ] Training epoch: 62
[ Tue Sep 27 19:05:01 2022 ] 	Mean training loss: 0.6236. loss2: 0.0000. Mean training acc: 80.74%.
[ Tue Sep 27 19:05:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:05:01 2022 ] Eval epoch: 62
[ Tue Sep 27 19:06:40 2022 ] 	Mean test loss of 930 batches: 0.9968157944499806.
[ Tue Sep 27 19:06:41 2022 ] 	Top1: 72.05%
[ Tue Sep 27 19:06:42 2022 ] 	Top5: 92.47%
[ Tue Sep 27 19:06:42 2022 ] Training epoch: 63
[ Tue Sep 27 19:10:55 2022 ] 	Mean training loss: 0.6304. loss2: 0.0000. Mean training acc: 80.58%.
[ Tue Sep 27 19:10:55 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:10:55 2022 ] Eval epoch: 63
[ Tue Sep 27 19:12:35 2022 ] 	Mean test loss of 930 batches: 0.8154832511018681.
[ Tue Sep 27 19:12:36 2022 ] 	Top1: 76.20%
[ Tue Sep 27 19:12:36 2022 ] 	Top5: 94.66%
[ Tue Sep 27 19:12:36 2022 ] Training epoch: 64
[ Tue Sep 27 19:16:50 2022 ] 	Mean training loss: 0.6240. loss2: 0.0000. Mean training acc: 80.80%.
[ Tue Sep 27 19:16:50 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:16:50 2022 ] Eval epoch: 64
[ Tue Sep 27 19:18:30 2022 ] 	Mean test loss of 930 batches: 0.7732018087980568.
[ Tue Sep 27 19:18:30 2022 ] 	Top1: 77.33%
[ Tue Sep 27 19:18:31 2022 ] 	Top5: 95.71%
[ Tue Sep 27 19:18:31 2022 ] Training epoch: 65
[ Tue Sep 27 19:22:44 2022 ] 	Mean training loss: 0.6228. loss2: 0.0000. Mean training acc: 80.75%.
[ Tue Sep 27 19:22:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:22:44 2022 ] Eval epoch: 65
[ Tue Sep 27 19:24:24 2022 ] 	Mean test loss of 930 batches: 1.7034559531557945.
[ Tue Sep 27 19:24:25 2022 ] 	Top1: 59.01%
[ Tue Sep 27 19:24:25 2022 ] 	Top5: 85.44%
[ Tue Sep 27 19:24:25 2022 ] Training epoch: 66
[ Tue Sep 27 19:28:39 2022 ] 	Mean training loss: 0.6253. loss2: 0.0000. Mean training acc: 80.56%.
[ Tue Sep 27 19:28:39 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:28:39 2022 ] Eval epoch: 66
[ Tue Sep 27 19:30:19 2022 ] 	Mean test loss of 930 batches: 0.8067397458578951.
[ Tue Sep 27 19:30:20 2022 ] 	Top1: 76.35%
[ Tue Sep 27 19:30:20 2022 ] 	Top5: 95.20%
[ Tue Sep 27 19:30:20 2022 ] Training epoch: 67
[ Tue Sep 27 19:34:34 2022 ] 	Mean training loss: 0.6178. loss2: 0.0000. Mean training acc: 81.10%.
[ Tue Sep 27 19:34:34 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:34:34 2022 ] Eval epoch: 67
[ Tue Sep 27 19:36:14 2022 ] 	Mean test loss of 930 batches: 0.9144864734462512.
[ Tue Sep 27 19:36:14 2022 ] 	Top1: 74.13%
[ Tue Sep 27 19:36:15 2022 ] 	Top5: 93.63%
[ Tue Sep 27 19:36:15 2022 ] Training epoch: 68
[ Tue Sep 27 19:40:28 2022 ] 	Mean training loss: 0.6278. loss2: 0.0000. Mean training acc: 80.57%.
[ Tue Sep 27 19:40:28 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:40:28 2022 ] Eval epoch: 68
[ Tue Sep 27 19:42:08 2022 ] 	Mean test loss of 930 batches: 0.7729938529672161.
[ Tue Sep 27 19:42:09 2022 ] 	Top1: 77.15%
[ Tue Sep 27 19:42:09 2022 ] 	Top5: 95.19%
[ Tue Sep 27 19:42:09 2022 ] Training epoch: 69
[ Tue Sep 27 19:46:23 2022 ] 	Mean training loss: 0.6163. loss2: 0.0000. Mean training acc: 80.83%.
[ Tue Sep 27 19:46:23 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:46:23 2022 ] Eval epoch: 69
[ Tue Sep 27 19:48:03 2022 ] 	Mean test loss of 930 batches: 0.7700678705207763.
[ Tue Sep 27 19:48:04 2022 ] 	Top1: 77.35%
[ Tue Sep 27 19:48:04 2022 ] 	Top5: 95.06%
[ Tue Sep 27 19:48:04 2022 ] Training epoch: 70
[ Tue Sep 27 19:52:18 2022 ] 	Mean training loss: 0.6251. loss2: 0.0000. Mean training acc: 80.92%.
[ Tue Sep 27 19:52:18 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 19:52:19 2022 ] Eval epoch: 70
[ Tue Sep 27 19:53:58 2022 ] 	Mean test loss of 930 batches: 0.8854914857334988.
[ Tue Sep 27 19:53:59 2022 ] 	Top1: 74.58%
[ Tue Sep 27 19:53:59 2022 ] 	Top5: 94.21%
[ Tue Sep 27 19:53:59 2022 ] Training epoch: 71
[ Tue Sep 27 19:58:13 2022 ] 	Mean training loss: 0.6300. loss2: 0.0000. Mean training acc: 80.52%.
[ Tue Sep 27 19:58:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 19:58:13 2022 ] Eval epoch: 71
[ Tue Sep 27 19:59:53 2022 ] 	Mean test loss of 930 batches: 0.9050140121771443.
[ Tue Sep 27 19:59:53 2022 ] 	Top1: 73.96%
[ Tue Sep 27 19:59:54 2022 ] 	Top5: 93.90%
[ Tue Sep 27 19:59:54 2022 ] Training epoch: 72
[ Tue Sep 27 20:04:08 2022 ] 	Mean training loss: 0.6285. loss2: 0.0000. Mean training acc: 80.59%.
[ Tue Sep 27 20:04:08 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:04:08 2022 ] Eval epoch: 72
[ Tue Sep 27 20:05:47 2022 ] 	Mean test loss of 930 batches: 0.7766245912960781.
[ Tue Sep 27 20:05:48 2022 ] 	Top1: 77.52%
[ Tue Sep 27 20:05:48 2022 ] 	Top5: 95.03%
[ Tue Sep 27 20:05:48 2022 ] Training epoch: 73
[ Tue Sep 27 20:10:02 2022 ] 	Mean training loss: 0.6164. loss2: 0.0000. Mean training acc: 81.04%.
[ Tue Sep 27 20:10:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:10:02 2022 ] Eval epoch: 73
[ Tue Sep 27 20:11:42 2022 ] 	Mean test loss of 930 batches: 0.8782475888729095.
[ Tue Sep 27 20:11:42 2022 ] 	Top1: 74.91%
[ Tue Sep 27 20:11:43 2022 ] 	Top5: 94.25%
[ Tue Sep 27 20:11:43 2022 ] Training epoch: 74
[ Tue Sep 27 20:15:57 2022 ] 	Mean training loss: 0.6205. loss2: 0.0000. Mean training acc: 80.76%.
[ Tue Sep 27 20:15:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:15:57 2022 ] Eval epoch: 74
[ Tue Sep 27 20:17:36 2022 ] 	Mean test loss of 930 batches: 0.8342997370548145.
[ Tue Sep 27 20:17:37 2022 ] 	Top1: 75.40%
[ Tue Sep 27 20:17:37 2022 ] 	Top5: 94.91%
[ Tue Sep 27 20:17:37 2022 ] Training epoch: 75
[ Tue Sep 27 20:21:51 2022 ] 	Mean training loss: 0.6275. loss2: 0.0000. Mean training acc: 80.66%.
[ Tue Sep 27 20:21:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:21:51 2022 ] Eval epoch: 75
[ Tue Sep 27 20:23:31 2022 ] 	Mean test loss of 930 batches: 0.7937023716588174.
[ Tue Sep 27 20:23:31 2022 ] 	Top1: 76.66%
[ Tue Sep 27 20:23:32 2022 ] 	Top5: 95.00%
[ Tue Sep 27 20:23:32 2022 ] Training epoch: 76
[ Tue Sep 27 20:27:46 2022 ] 	Mean training loss: 0.6187. loss2: 0.0000. Mean training acc: 80.83%.
[ Tue Sep 27 20:27:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:27:46 2022 ] Eval epoch: 76
[ Tue Sep 27 20:29:26 2022 ] 	Mean test loss of 930 batches: 0.828632561910537.
[ Tue Sep 27 20:29:26 2022 ] 	Top1: 75.99%
[ Tue Sep 27 20:29:27 2022 ] 	Top5: 94.45%
[ Tue Sep 27 20:29:27 2022 ] Training epoch: 77
[ Tue Sep 27 20:33:40 2022 ] 	Mean training loss: 0.6128. loss2: 0.0000. Mean training acc: 81.25%.
[ Tue Sep 27 20:33:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:33:41 2022 ] Eval epoch: 77
[ Tue Sep 27 20:35:20 2022 ] 	Mean test loss of 930 batches: 0.8436906849184344.
[ Tue Sep 27 20:35:21 2022 ] 	Top1: 75.48%
[ Tue Sep 27 20:35:21 2022 ] 	Top5: 94.49%
[ Tue Sep 27 20:35:21 2022 ] Training epoch: 78
[ Tue Sep 27 20:39:35 2022 ] 	Mean training loss: 0.6238. loss2: 0.0000. Mean training acc: 80.73%.
[ Tue Sep 27 20:39:35 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:39:35 2022 ] Eval epoch: 78
[ Tue Sep 27 20:41:15 2022 ] 	Mean test loss of 930 batches: 0.7961493495170788.
[ Tue Sep 27 20:41:15 2022 ] 	Top1: 76.67%
[ Tue Sep 27 20:41:16 2022 ] 	Top5: 95.24%
[ Tue Sep 27 20:41:16 2022 ] Training epoch: 79
[ Tue Sep 27 20:45:30 2022 ] 	Mean training loss: 0.6143. loss2: 0.0000. Mean training acc: 80.98%.
[ Tue Sep 27 20:45:30 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 20:45:30 2022 ] Eval epoch: 79
[ Tue Sep 27 20:47:10 2022 ] 	Mean test loss of 930 batches: 0.9081664515759356.
[ Tue Sep 27 20:47:10 2022 ] 	Top1: 74.15%
[ Tue Sep 27 20:47:11 2022 ] 	Top5: 94.18%
[ Tue Sep 27 20:47:11 2022 ] Training epoch: 80
[ Tue Sep 27 20:51:24 2022 ] 	Mean training loss: 0.6236. loss2: 0.0000. Mean training acc: 80.79%.
[ Tue Sep 27 20:51:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:51:24 2022 ] Eval epoch: 80
[ Tue Sep 27 20:53:05 2022 ] 	Mean test loss of 930 batches: 0.8330086905308949.
[ Tue Sep 27 20:53:05 2022 ] 	Top1: 75.28%
[ Tue Sep 27 20:53:06 2022 ] 	Top5: 95.09%
[ Tue Sep 27 20:53:06 2022 ] Training epoch: 81
[ Tue Sep 27 20:57:19 2022 ] 	Mean training loss: 0.6138. loss2: 0.0000. Mean training acc: 81.03%.
[ Tue Sep 27 20:57:19 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 20:57:19 2022 ] Eval epoch: 81
[ Tue Sep 27 20:58:59 2022 ] 	Mean test loss of 930 batches: 0.8915280336494087.
[ Tue Sep 27 20:59:00 2022 ] 	Top1: 73.84%
[ Tue Sep 27 20:59:00 2022 ] 	Top5: 93.95%
[ Tue Sep 27 20:59:00 2022 ] Training epoch: 82
[ Tue Sep 27 21:03:14 2022 ] 	Mean training loss: 0.6192. loss2: 0.0000. Mean training acc: 80.92%.
[ Tue Sep 27 21:03:14 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:03:14 2022 ] Eval epoch: 82
[ Tue Sep 27 21:04:54 2022 ] 	Mean test loss of 930 batches: 0.8147530019603749.
[ Tue Sep 27 21:04:54 2022 ] 	Top1: 76.46%
[ Tue Sep 27 21:04:55 2022 ] 	Top5: 94.49%
[ Tue Sep 27 21:04:55 2022 ] Training epoch: 83
[ Tue Sep 27 21:09:08 2022 ] 	Mean training loss: 0.6189. loss2: 0.0000. Mean training acc: 80.98%.
[ Tue Sep 27 21:09:08 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:09:08 2022 ] Eval epoch: 83
[ Tue Sep 27 21:10:48 2022 ] 	Mean test loss of 930 batches: 0.7649008766457599.
[ Tue Sep 27 21:10:49 2022 ] 	Top1: 77.55%
[ Tue Sep 27 21:10:49 2022 ] 	Top5: 95.21%
[ Tue Sep 27 21:10:49 2022 ] Training epoch: 84
[ Tue Sep 27 21:15:03 2022 ] 	Mean training loss: 0.6193. loss2: 0.0000. Mean training acc: 80.88%.
[ Tue Sep 27 21:15:03 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:15:03 2022 ] Eval epoch: 84
[ Tue Sep 27 21:16:43 2022 ] 	Mean test loss of 930 batches: 0.8230541022714748.
[ Tue Sep 27 21:16:43 2022 ] 	Top1: 76.25%
[ Tue Sep 27 21:16:44 2022 ] 	Top5: 94.49%
[ Tue Sep 27 21:16:44 2022 ] Training epoch: 85
[ Tue Sep 27 21:20:57 2022 ] 	Mean training loss: 0.6204. loss2: 0.0000. Mean training acc: 80.93%.
[ Tue Sep 27 21:20:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:20:57 2022 ] Eval epoch: 85
[ Tue Sep 27 21:22:37 2022 ] 	Mean test loss of 930 batches: 0.842455241981373.
[ Tue Sep 27 21:22:37 2022 ] 	Top1: 75.51%
[ Tue Sep 27 21:22:38 2022 ] 	Top5: 94.56%
[ Tue Sep 27 21:22:38 2022 ] Training epoch: 86
[ Tue Sep 27 21:26:51 2022 ] 	Mean training loss: 0.6181. loss2: 0.0000. Mean training acc: 81.02%.
[ Tue Sep 27 21:26:51 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:26:51 2022 ] Eval epoch: 86
[ Tue Sep 27 21:28:31 2022 ] 	Mean test loss of 930 batches: 0.9410481277813194.
[ Tue Sep 27 21:28:31 2022 ] 	Top1: 72.88%
[ Tue Sep 27 21:28:32 2022 ] 	Top5: 94.24%
[ Tue Sep 27 21:28:32 2022 ] Training epoch: 87
[ Tue Sep 27 21:32:45 2022 ] 	Mean training loss: 0.6143. loss2: 0.0000. Mean training acc: 80.97%.
[ Tue Sep 27 21:32:45 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:32:46 2022 ] Eval epoch: 87
[ Tue Sep 27 21:34:25 2022 ] 	Mean test loss of 930 batches: 0.8589206883663772.
[ Tue Sep 27 21:34:26 2022 ] 	Top1: 74.91%
[ Tue Sep 27 21:34:26 2022 ] 	Top5: 94.09%
[ Tue Sep 27 21:34:26 2022 ] Training epoch: 88
[ Tue Sep 27 21:38:40 2022 ] 	Mean training loss: 0.6138. loss2: 0.0000. Mean training acc: 80.99%.
[ Tue Sep 27 21:38:40 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:38:40 2022 ] Eval epoch: 88
[ Tue Sep 27 21:40:20 2022 ] 	Mean test loss of 930 batches: 0.8211070219996155.
[ Tue Sep 27 21:40:21 2022 ] 	Top1: 75.61%
[ Tue Sep 27 21:40:21 2022 ] 	Top5: 94.53%
[ Tue Sep 27 21:40:21 2022 ] Training epoch: 89
[ Tue Sep 27 21:44:35 2022 ] 	Mean training loss: 0.6152. loss2: 0.0000. Mean training acc: 81.03%.
[ Tue Sep 27 21:44:35 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 21:44:35 2022 ] Eval epoch: 89
[ Tue Sep 27 21:46:15 2022 ] 	Mean test loss of 930 batches: 0.8357437002722935.
[ Tue Sep 27 21:46:15 2022 ] 	Top1: 75.49%
[ Tue Sep 27 21:46:16 2022 ] 	Top5: 94.82%
[ Tue Sep 27 21:46:16 2022 ] Training epoch: 90
[ Tue Sep 27 21:50:29 2022 ] 	Mean training loss: 0.6220. loss2: 0.0000. Mean training acc: 80.84%.
[ Tue Sep 27 21:50:29 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:50:30 2022 ] Eval epoch: 90
[ Tue Sep 27 21:52:09 2022 ] 	Mean test loss of 930 batches: 0.9043507873050628.
[ Tue Sep 27 21:52:10 2022 ] 	Top1: 74.16%
[ Tue Sep 27 21:52:10 2022 ] 	Top5: 93.89%
[ Tue Sep 27 21:52:10 2022 ] Training epoch: 91
[ Tue Sep 27 21:56:24 2022 ] 	Mean training loss: 0.3415. loss2: 0.0000. Mean training acc: 89.52%.
[ Tue Sep 27 21:56:24 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 21:56:24 2022 ] Eval epoch: 91
[ Tue Sep 27 21:58:04 2022 ] 	Mean test loss of 930 batches: 0.4323806147822129.
[ Tue Sep 27 21:58:05 2022 ] 	Top1: 86.92%
[ Tue Sep 27 21:58:05 2022 ] 	Top5: 97.63%
[ Tue Sep 27 21:58:05 2022 ] Training epoch: 92
[ Tue Sep 27 22:02:18 2022 ] 	Mean training loss: 0.2655. loss2: 0.0000. Mean training acc: 91.96%.
[ Tue Sep 27 22:02:18 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:02:19 2022 ] Eval epoch: 92
[ Tue Sep 27 22:03:58 2022 ] 	Mean test loss of 930 batches: 0.4198623092664826.
[ Tue Sep 27 22:03:59 2022 ] 	Top1: 87.52%
[ Tue Sep 27 22:03:59 2022 ] 	Top5: 97.69%
[ Tue Sep 27 22:03:59 2022 ] Training epoch: 93
[ Tue Sep 27 22:08:13 2022 ] 	Mean training loss: 0.2344. loss2: 0.0000. Mean training acc: 93.08%.
[ Tue Sep 27 22:08:13 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:08:13 2022 ] Eval epoch: 93
[ Tue Sep 27 22:09:53 2022 ] 	Mean test loss of 930 batches: 0.4101665248833997.
[ Tue Sep 27 22:09:53 2022 ] 	Top1: 87.70%
[ Tue Sep 27 22:09:54 2022 ] 	Top5: 97.77%
[ Tue Sep 27 22:09:54 2022 ] Training epoch: 94
[ Tue Sep 27 22:14:07 2022 ] 	Mean training loss: 0.2168. loss2: 0.0000. Mean training acc: 93.54%.
[ Tue Sep 27 22:14:07 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:14:07 2022 ] Eval epoch: 94
[ Tue Sep 27 22:15:47 2022 ] 	Mean test loss of 930 batches: 0.4153073225771227.
[ Tue Sep 27 22:15:48 2022 ] 	Top1: 87.62%
[ Tue Sep 27 22:15:48 2022 ] 	Top5: 97.65%
[ Tue Sep 27 22:15:48 2022 ] Training epoch: 95
[ Tue Sep 27 22:20:02 2022 ] 	Mean training loss: 0.2009. loss2: 0.0000. Mean training acc: 94.07%.
[ Tue Sep 27 22:20:02 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:20:02 2022 ] Eval epoch: 95
[ Tue Sep 27 22:21:42 2022 ] 	Mean test loss of 930 batches: 0.4214352555412759.
[ Tue Sep 27 22:21:42 2022 ] 	Top1: 87.55%
[ Tue Sep 27 22:21:43 2022 ] 	Top5: 97.72%
[ Tue Sep 27 22:21:43 2022 ] Training epoch: 96
[ Tue Sep 27 22:25:57 2022 ] 	Mean training loss: 0.1875. loss2: 0.0000. Mean training acc: 94.66%.
[ Tue Sep 27 22:25:57 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:25:57 2022 ] Eval epoch: 96
[ Tue Sep 27 22:27:37 2022 ] 	Mean test loss of 930 batches: 0.43257496596904854.
[ Tue Sep 27 22:27:38 2022 ] 	Top1: 87.34%
[ Tue Sep 27 22:27:38 2022 ] 	Top5: 97.56%
[ Tue Sep 27 22:27:38 2022 ] Training epoch: 97
[ Tue Sep 27 22:31:52 2022 ] 	Mean training loss: 0.1773. loss2: 0.0000. Mean training acc: 94.85%.
[ Tue Sep 27 22:31:52 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:31:52 2022 ] Eval epoch: 97
[ Tue Sep 27 22:33:32 2022 ] 	Mean test loss of 930 batches: 0.4284224494891141.
[ Tue Sep 27 22:33:33 2022 ] 	Top1: 87.64%
[ Tue Sep 27 22:33:33 2022 ] 	Top5: 97.67%
[ Tue Sep 27 22:33:33 2022 ] Training epoch: 98
[ Tue Sep 27 22:37:46 2022 ] 	Mean training loss: 0.1668. loss2: 0.0000. Mean training acc: 95.22%.
[ Tue Sep 27 22:37:46 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:37:47 2022 ] Eval epoch: 98
[ Tue Sep 27 22:39:27 2022 ] 	Mean test loss of 930 batches: 0.4299173615832803.
[ Tue Sep 27 22:39:27 2022 ] 	Top1: 87.43%
[ Tue Sep 27 22:39:28 2022 ] 	Top5: 97.66%
[ Tue Sep 27 22:39:28 2022 ] Training epoch: 99
[ Tue Sep 27 22:43:41 2022 ] 	Mean training loss: 0.1627. loss2: 0.0000. Mean training acc: 95.35%.
[ Tue Sep 27 22:43:41 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:43:41 2022 ] Eval epoch: 99
[ Tue Sep 27 22:45:21 2022 ] 	Mean test loss of 930 batches: 0.43132574787784006.
[ Tue Sep 27 22:45:22 2022 ] 	Top1: 87.42%
[ Tue Sep 27 22:45:22 2022 ] 	Top5: 97.62%
[ Tue Sep 27 22:45:22 2022 ] Training epoch: 100
[ Tue Sep 27 22:49:36 2022 ] 	Mean training loss: 0.1520. loss2: 0.0000. Mean training acc: 95.78%.
[ Tue Sep 27 22:49:36 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:49:36 2022 ] Eval epoch: 100
[ Tue Sep 27 22:51:15 2022 ] 	Mean test loss of 930 batches: 0.43944558794860555.
[ Tue Sep 27 22:51:16 2022 ] 	Top1: 87.37%
[ Tue Sep 27 22:51:16 2022 ] 	Top5: 97.61%
[ Tue Sep 27 22:51:16 2022 ] Training epoch: 101
[ Tue Sep 27 22:55:31 2022 ] 	Mean training loss: 0.1157. loss2: 0.0000. Mean training acc: 97.22%.
[ Tue Sep 27 22:55:31 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 22:55:31 2022 ] Eval epoch: 101
[ Tue Sep 27 22:57:11 2022 ] 	Mean test loss of 930 batches: 0.40885019134129247.
[ Tue Sep 27 22:57:11 2022 ] 	Top1: 88.36%
[ Tue Sep 27 22:57:12 2022 ] 	Top5: 97.78%
[ Tue Sep 27 22:57:12 2022 ] Training epoch: 102
[ Tue Sep 27 23:01:25 2022 ] 	Mean training loss: 0.1011. loss2: 0.0000. Mean training acc: 97.62%.
[ Tue Sep 27 23:01:25 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:01:26 2022 ] Eval epoch: 102
[ Tue Sep 27 23:03:05 2022 ] 	Mean test loss of 930 batches: 0.40612424431789307.
[ Tue Sep 27 23:03:06 2022 ] 	Top1: 88.51%
[ Tue Sep 27 23:03:06 2022 ] 	Top5: 97.79%
[ Tue Sep 27 23:03:06 2022 ] Training epoch: 103
[ Tue Sep 27 23:07:20 2022 ] 	Mean training loss: 0.0956. loss2: 0.0000. Mean training acc: 97.89%.
[ Tue Sep 27 23:07:20 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:07:20 2022 ] Eval epoch: 103
[ Tue Sep 27 23:09:00 2022 ] 	Mean test loss of 930 batches: 0.4083466988497524.
[ Tue Sep 27 23:09:00 2022 ] 	Top1: 88.46%
[ Tue Sep 27 23:09:01 2022 ] 	Top5: 97.78%
[ Tue Sep 27 23:09:01 2022 ] Training epoch: 104
[ Tue Sep 27 23:13:15 2022 ] 	Mean training loss: 0.0931. loss2: 0.0000. Mean training acc: 97.91%.
[ Tue Sep 27 23:13:15 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:13:15 2022 ] Eval epoch: 104
[ Tue Sep 27 23:14:55 2022 ] 	Mean test loss of 930 batches: 0.4094812784384015.
[ Tue Sep 27 23:14:56 2022 ] 	Top1: 88.50%
[ Tue Sep 27 23:14:56 2022 ] 	Top5: 97.75%
[ Tue Sep 27 23:14:56 2022 ] Training epoch: 105
[ Tue Sep 27 23:19:10 2022 ] 	Mean training loss: 0.0892. loss2: 0.0000. Mean training acc: 97.98%.
[ Tue Sep 27 23:19:10 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:19:10 2022 ] Eval epoch: 105
[ Tue Sep 27 23:20:50 2022 ] 	Mean test loss of 930 batches: 0.40929308521250884.
[ Tue Sep 27 23:20:50 2022 ] 	Top1: 88.42%
[ Tue Sep 27 23:20:51 2022 ] 	Top5: 97.76%
[ Tue Sep 27 23:20:51 2022 ] Training epoch: 106
[ Tue Sep 27 23:25:06 2022 ] 	Mean training loss: 0.0850. loss2: 0.0000. Mean training acc: 98.14%.
[ Tue Sep 27 23:25:06 2022 ] 	Time consumption: [Data]02%, [Network]98%
[ Tue Sep 27 23:25:06 2022 ] Eval epoch: 106
[ Tue Sep 27 23:26:46 2022 ] 	Mean test loss of 930 batches: 0.41153882603731845.
[ Tue Sep 27 23:26:47 2022 ] 	Top1: 88.43%
[ Tue Sep 27 23:26:47 2022 ] 	Top5: 97.77%
[ Tue Sep 27 23:26:47 2022 ] Training epoch: 107
[ Tue Sep 27 23:31:01 2022 ] 	Mean training loss: 0.0843. loss2: 0.0000. Mean training acc: 98.18%.
[ Tue Sep 27 23:31:01 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:31:01 2022 ] Eval epoch: 107
[ Tue Sep 27 23:32:41 2022 ] 	Mean test loss of 930 batches: 0.4110023543919607.
[ Tue Sep 27 23:32:41 2022 ] 	Top1: 88.55%
[ Tue Sep 27 23:32:42 2022 ] 	Top5: 97.79%
[ Tue Sep 27 23:32:42 2022 ] Training epoch: 108
[ Tue Sep 27 23:36:55 2022 ] 	Mean training loss: 0.0822. loss2: 0.0000. Mean training acc: 98.26%.
[ Tue Sep 27 23:36:55 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:36:55 2022 ] Eval epoch: 108
[ Tue Sep 27 23:38:35 2022 ] 	Mean test loss of 930 batches: 0.4113041555208545.
[ Tue Sep 27 23:38:36 2022 ] 	Top1: 88.59%
[ Tue Sep 27 23:38:36 2022 ] 	Top5: 97.74%
[ Tue Sep 27 23:38:36 2022 ] Training epoch: 109
[ Tue Sep 27 23:42:49 2022 ] 	Mean training loss: 0.0782. loss2: 0.0000. Mean training acc: 98.40%.
[ Tue Sep 27 23:42:49 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:42:49 2022 ] Eval epoch: 109
[ Tue Sep 27 23:44:29 2022 ] 	Mean test loss of 930 batches: 0.4192081885672705.
[ Tue Sep 27 23:44:30 2022 ] 	Top1: 88.46%
[ Tue Sep 27 23:44:30 2022 ] 	Top5: 97.72%
[ Tue Sep 27 23:44:30 2022 ] Training epoch: 110
[ Tue Sep 27 23:48:44 2022 ] 	Mean training loss: 0.0767. loss2: 0.0000. Mean training acc: 98.44%.
[ Tue Sep 27 23:48:44 2022 ] 	Time consumption: [Data]01%, [Network]98%
[ Tue Sep 27 23:48:44 2022 ] Eval epoch: 110
[ Tue Sep 27 23:50:24 2022 ] 	Mean test loss of 930 batches: 0.41913894766200616.
[ Tue Sep 27 23:50:24 2022 ] 	Top1: 88.45%
[ Tue Sep 27 23:50:25 2022 ] 	Top5: 97.74%
[ Tue Sep 27 23:52:07 2022 ] Best accuracy: 0.885939102510214
[ Tue Sep 27 23:52:07 2022 ] Epoch number: 108
[ Tue Sep 27 23:52:07 2022 ] Model name: work_dir/ntu120/cset/fc_bone
[ Tue Sep 27 23:52:07 2022 ] Model total number of params: 2112877
[ Tue Sep 27 23:52:07 2022 ] Weight decay: 0.0004
[ Tue Sep 27 23:52:07 2022 ] Base LR: 0.1
[ Tue Sep 27 23:52:07 2022 ] Batch Size: 64
[ Tue Sep 27 23:52:07 2022 ] Test Batch Size: 64
[ Tue Sep 27 23:52:07 2022 ] seed: 1
