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2024-12-13 16:14:19,768 - INFO - Self Supervised Video Hashing Training: S5VH
2024-12-13 16:14:19,768 - INFO - set seed: 1
2024-12-13 16:14:19,768 - INFO - PARAMETER ......
2024-12-13 16:14:19,768 - INFO - Config (path: /data2/lianniu/S5VH/configs/S5VH/act.py): {'model_name': 'S5VH', 'use_checkpoint': None, 'feature_size': 2048, 'hidden_size': 256, 'max_frames': 30, 'nbits': 16, 'S5VH_type': 'small', 'dataset': 'activitynet', 'workers': 1, 'batch_size': 128, 'mask_ratio': 0.5, 'latent_dim_pca': 512, 'initWithCSQ': True, 'rho': 5e-05, 'gamma': 1.618033988749895, 'seed': 1, 'num_epochs': 350, 'alpha': 0.2, 'temperature': 0.5, 'tau_plus': 0.05, 'train_num_sample': 9722, 'a_cluster': 0.001, 'temperature_cluster': 0.5, 'nclusters': 100, 'warm_up_epoch': 50, 'smoothing_alpha': 0.01, 'test_batch_size': 128, 'test_num_sample': 3758, 'query_num_sample': 1000, 'optimizer_name': 'AdamW', 'schedule': 'CosineAnnealingLR', 'lr': 0.0005, 'min_lr': 1e-05, 'data_root': '/data2/lianniu/dataset/act/', 'home_root': '/data2/lianniu/', 'train_feat_path': '/data2/lianniu/dataset/act/train_feats.h5', 'train_assist_path': '/data2/lianniu/dataset/act/final_train_train_assit.h5', 'latent_feat_path': '/data2/lianniu/dataset/act/final_train_latent_feats.h5', 'anchor_path': '/data2/lianniu/dataset/act/final_train_anchors.h5', 'sim_path': '/data2/lianniu/dataset/act/final_train_sim_matrix.h5', 'semantic_center_path': '/data2/lianniu/dataset/act/semantic.h5', 'hash_center_path': '/data2/lianniu/dataset/act/hash_center_16.h5', 'im2cluster_path': '/data2/lianniu/dataset/act/im2cluster.h5', 'test_feat_path': ['/data2/lianniu/dataset/act/test_feats.h5'], 'label_path': ['/data2/lianniu/dataset/act/re_label.mat'], 'query_feat_path': ['/data2/lianniu/dataset/act/query_feats.h5'], 'query_label_path': ['/data2/lianniu/dataset/act/q_label.mat'], 'save_dir': '/data2/lianniu/saved_model/activitynet/S5VH', 'file_path': '/data2/lianniu/saved_model/activitynet/S5VH_16bit'}
2024-12-13 16:14:19,768 - INFO - loading model ......
2024-12-13 16:14:22,193 - INFO - loading train data ......
2024-12-13 16:14:23,827 - INFO - loading eval data ......
2024-12-13 16:14:24,715 - INFO - begin training stage: [1/350]
2024-12-13 16:14:32,454 - INFO - Epoch:[1/350] Step:[50/76] reconstruction_loss: 0.33 contra_loss: 3.86 contra_loss_cluster: 4.60
2024-12-13 16:14:35,489 - INFO - Epoch:[1/350] Step:[76/76] reconstruction_loss: 0.33 contra_loss: 3.77 contra_loss_cluster: 4.58
2024-12-13 16:14:35,790 - INFO - now the learning rate is: 0.0004999901304618634
2024-12-13 16:14:35,941 - INFO - begin training stage: [2/350]
2024-12-13 16:14:41,843 - INFO - Epoch:[2/350] Step:[50/76] reconstruction_loss: 0.33 contra_loss: 3.74 contra_loss_cluster: 4.57
2024-12-13 16:14:44,889 - INFO - Epoch:[2/350] Step:[76/76] reconstruction_loss: 0.34 contra_loss: 3.66 contra_loss_cluster: 4.57
2024-12-13 16:14:45,181 - INFO - now the learning rate is: 0.0004999605226426192
2024-12-13 16:14:45,447 - INFO - begin training stage: [3/350]
2024-12-13 16:14:52,946 - INFO - Epoch:[3/350] Step:[50/76] reconstruction_loss: 0.33 contra_loss: 3.64 contra_loss_cluster: 4.54
2024-12-13 16:14:56,001 - INFO - Epoch:[3/350] Step:[76/76] reconstruction_loss: 0.33 contra_loss: 3.56 contra_loss_cluster: 4.53
2024-12-13 16:14:56,394 - INFO - now the learning rate is: 0.0004999111789277001
2024-12-13 16:14:56,651 - INFO - begin training stage: [4/350]
2024-12-13 16:15:02,684 - INFO - Epoch:[4/350] Step:[50/76] reconstruction_loss: 0.31 contra_loss: 3.61 contra_loss_cluster: 4.51
2024-12-13 16:15:05,748 - INFO - Epoch:[4/350] Step:[76/76] reconstruction_loss: 0.29 contra_loss: 3.58 contra_loss_cluster: 4.51
2024-12-13 16:15:06,034 - INFO - now the learning rate is: 0.0004998421032926137
2024-12-13 16:15:06,307 - INFO - begin training stage: [5/350]
2024-12-13 16:15:12,350 - INFO - Epoch:[5/350] Step:[50/76] reconstruction_loss: 0.28 contra_loss: 3.56 contra_loss_cluster: 4.48
2024-12-13 16:15:15,425 - INFO - Epoch:[5/350] Step:[76/76] reconstruction_loss: 0.29 contra_loss: 3.54 contra_loss_cluster: 4.49
2024-12-13 16:15:15,722 - INFO - now the learning rate is: 0.0004997533013026221
2024-12-13 16:15:15,995 - INFO - begin training stage: [6/350]
2024-12-13 16:15:22,104 - INFO - Epoch:[6/350] Step:[50/76] reconstruction_loss: 0.28 contra_loss: 3.61 contra_loss_cluster: 4.48
2024-12-13 16:15:25,256 - INFO - Epoch:[6/350] Step:[76/76] reconstruction_loss: 0.28 contra_loss: 3.51 contra_loss_cluster: 4.46
2024-12-13 16:15:25,652 - INFO - now the learning rate is: 0.0004996447801122936
2024-12-13 16:15:25,935 - INFO - begin training stage: [7/350]
2024-12-13 16:15:31,995 - INFO - Epoch:[7/350] Step:[50/76] reconstruction_loss: 0.28 contra_loss: 3.57 contra_loss_cluster: 4.44
2024-12-13 16:15:35,005 - INFO - Epoch:[7/350] Step:[76/76] reconstruction_loss: 0.27 contra_loss: 3.50 contra_loss_cluster: 4.42
2024-12-13 16:15:35,282 - INFO - now the learning rate is: 0.0004995165484649266
2024-12-13 16:15:35,543 - INFO - begin training stage: [8/350]
2024-12-13 16:15:41,538 - INFO - Epoch:[8/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.52 contra_loss_cluster: 4.40
2024-12-13 16:15:44,586 - INFO - Epoch:[8/350] Step:[76/76] reconstruction_loss: 0.27 contra_loss: 3.54 contra_loss_cluster: 4.41
2024-12-13 16:15:44,869 - INFO - now the learning rate is: 0.0004993686166918443
2024-12-13 16:15:45,128 - INFO - begin training stage: [9/350]
2024-12-13 16:15:51,148 - INFO - Epoch:[9/350] Step:[50/76] reconstruction_loss: 0.27 contra_loss: 3.55 contra_loss_cluster: 4.37
2024-12-13 16:15:54,186 - INFO - Epoch:[9/350] Step:[76/76] reconstruction_loss: 0.27 contra_loss: 3.51 contra_loss_cluster: 4.36
2024-12-13 16:15:54,468 - INFO - now the learning rate is: 0.0004992009967115635
2024-12-13 16:15:54,731 - INFO - begin training stage: [10/350]
2024-12-13 16:16:00,859 - INFO - Epoch:[10/350] Step:[50/76] reconstruction_loss: 0.27 contra_loss: 3.59 contra_loss_cluster: 4.36
2024-12-13 16:16:04,112 - INFO - Epoch:[10/350] Step:[76/76] reconstruction_loss: 0.27 contra_loss: 3.49 contra_loss_cluster: 4.34
2024-12-13 16:16:04,500 - INFO - now the learning rate is: 0.0004990137020288336
2024-12-13 16:16:04,773 - INFO - begin training stage: [11/350]
2024-12-13 16:16:11,007 - INFO - Epoch:[11/350] Step:[50/76] reconstruction_loss: 0.27 contra_loss: 3.56 contra_loss_cluster: 4.34
2024-12-13 16:16:14,127 - INFO - Epoch:[11/350] Step:[76/76] reconstruction_loss: 0.27 contra_loss: 3.47 contra_loss_cluster: 4.32
2024-12-13 16:16:14,461 - INFO - now the learning rate is: 0.0004988067477335482
2024-12-13 16:16:14,736 - INFO - begin training stage: [12/350]
2024-12-13 16:16:22,050 - INFO - Epoch:[12/350] Step:[50/76] reconstruction_loss: 0.27 contra_loss: 3.51 contra_loss_cluster: 4.31
2024-12-13 16:16:25,352 - INFO - Epoch:[12/350] Step:[76/76] reconstruction_loss: 0.28 contra_loss: 3.49 contra_loss_cluster: 4.30
2024-12-13 16:16:25,723 - INFO - now the learning rate is: 0.0004985801504995306
2024-12-13 16:16:26,003 - INFO - begin training stage: [13/350]
2024-12-13 16:16:32,061 - INFO - Epoch:[13/350] Step:[50/76] reconstruction_loss: 0.27 contra_loss: 3.55 contra_loss_cluster: 4.26
2024-12-13 16:16:35,087 - INFO - Epoch:[13/350] Step:[76/76] reconstruction_loss: 0.27 contra_loss: 3.49 contra_loss_cluster: 4.26
2024-12-13 16:16:35,366 - INFO - now the learning rate is: 0.0004983339285831892
2024-12-13 16:16:35,630 - INFO - begin training stage: [14/350]
2024-12-13 16:16:41,758 - INFO - Epoch:[14/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.53 contra_loss_cluster: 4.26
2024-12-13 16:16:44,839 - INFO - Epoch:[14/350] Step:[76/76] reconstruction_loss: 0.26 contra_loss: 3.49 contra_loss_cluster: 4.20
2024-12-13 16:16:45,160 - INFO - now the learning rate is: 0.000498068101822047
2024-12-13 16:16:45,431 - INFO - begin training stage: [15/350]
2024-12-13 16:16:51,523 - INFO - Epoch:[15/350] Step:[50/76] reconstruction_loss: 0.27 contra_loss: 3.55 contra_loss_cluster: 4.22
2024-12-13 16:16:54,588 - INFO - Epoch:[15/350] Step:[76/76] reconstruction_loss: 0.26 contra_loss: 3.50 contra_loss_cluster: 4.22
2024-12-13 16:16:54,907 - INFO - now the learning rate is: 0.000497782691633144
2024-12-13 16:16:55,167 - INFO - begin training stage: [16/350]
2024-12-13 16:17:01,234 - INFO - Epoch:[16/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.58 contra_loss_cluster: 4.21
2024-12-13 16:17:04,237 - INFO - Epoch:[16/350] Step:[76/76] reconstruction_loss: 0.26 contra_loss: 3.51 contra_loss_cluster: 4.19
2024-12-13 16:17:04,566 - INFO - now the learning rate is: 0.0004974777210113104
2024-12-13 16:17:04,832 - INFO - begin training stage: [17/350]
2024-12-13 16:17:10,827 - INFO - Epoch:[17/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.53 contra_loss_cluster: 4.19
2024-12-13 16:17:13,884 - INFO - Epoch:[17/350] Step:[76/76] reconstruction_loss: 0.27 contra_loss: 3.48 contra_loss_cluster: 4.16
2024-12-13 16:17:14,198 - INFO - now the learning rate is: 0.0004971532145273155
2024-12-13 16:17:14,460 - INFO - begin training stage: [18/350]
2024-12-13 16:17:20,447 - INFO - Epoch:[18/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.53 contra_loss_cluster: 4.14
2024-12-13 16:17:23,467 - INFO - Epoch:[18/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.45 contra_loss_cluster: 4.11
2024-12-13 16:17:23,741 - INFO - now the learning rate is: 0.0004968091983258864
2024-12-13 16:17:23,992 - INFO - begin training stage: [19/350]
2024-12-13 16:17:30,030 - INFO - Epoch:[19/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.53 contra_loss_cluster: 4.08
2024-12-13 16:17:33,061 - INFO - Epoch:[19/350] Step:[76/76] reconstruction_loss: 0.26 contra_loss: 3.46 contra_loss_cluster: 4.11
2024-12-13 16:17:33,386 - INFO - now the learning rate is: 0.000496445700123603
2024-12-13 16:17:33,651 - INFO - begin training stage: [20/350]
2024-12-13 16:17:39,623 - INFO - Epoch:[20/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.48 contra_loss_cluster: 4.08
2024-12-13 16:17:42,689 - INFO - Epoch:[20/350] Step:[76/76] reconstruction_loss: 0.26 contra_loss: 3.51 contra_loss_cluster: 4.09
2024-12-13 16:17:42,969 - INFO - now the learning rate is: 0.0004960627492066642
2024-12-13 16:17:43,231 - INFO - eval data number: 3758
2024-12-13 16:17:44,640 - INFO - loading query data ......
2024-12-13 16:17:45,301 - INFO - retrieval costs: 2.06817889213562
2024-12-13 16:17:45,463 - INFO - hamming distance computation costs: 0.16172456741333008
2024-12-13 16:17:45,614 - INFO - hamming ranking costs: 0.15139365196228027
2024-12-13 16:17:45,614 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 16:17:46,151 - INFO - similarity labels generation costs: 0.5366849899291992
2024-12-13 16:17:46,167 - INFO - topK: 5:, map: 0.0906
2024-12-13 16:17:46,226 - INFO - topK: 20:, map: 0.04856528935654129
2024-12-13 16:17:46,339 - INFO - topK: 40:, map: 0.03217387217256945
2024-12-13 16:17:46,504 - INFO - topK: 60:, map: 0.024278582492863302
2024-12-13 16:17:46,715 - INFO - topK: 80:, map: 0.01947682224523188
2024-12-13 16:17:46,979 - INFO - topK: 100:, map: 0.016303506879264434
2024-12-13 16:17:47,044 - INFO - begin training stage: [21/350]
2024-12-13 16:17:53,006 - INFO - Epoch:[21/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.53 contra_loss_cluster: 4.04
2024-12-13 16:17:56,024 - INFO - Epoch:[21/350] Step:[76/76] reconstruction_loss: 0.27 contra_loss: 3.50 contra_loss_cluster: 4.05
2024-12-13 16:17:56,308 - INFO - now the learning rate is: 0.0004956603764285286
2024-12-13 16:17:56,564 - INFO - begin training stage: [22/350]
2024-12-13 16:18:02,565 - INFO - Epoch:[22/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.52 contra_loss_cluster: 4.08
2024-12-13 16:18:05,572 - INFO - Epoch:[22/350] Step:[76/76] reconstruction_loss: 0.26 contra_loss: 3.46 contra_loss_cluster: 4.02
2024-12-13 16:18:05,865 - INFO - now the learning rate is: 0.0004952386142074288
2024-12-13 16:18:06,127 - INFO - begin training stage: [23/350]
2024-12-13 16:18:12,065 - INFO - Epoch:[23/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.51 contra_loss_cluster: 4.05
2024-12-13 16:18:15,065 - INFO - Epoch:[23/350] Step:[76/76] reconstruction_loss: 0.26 contra_loss: 3.46 contra_loss_cluster: 4.03
2024-12-13 16:18:15,355 - INFO - now the learning rate is: 0.0004947974965237591
2024-12-13 16:18:15,608 - INFO - begin training stage: [24/350]
2024-12-13 16:18:21,606 - INFO - Epoch:[24/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.99
2024-12-13 16:18:24,612 - INFO - Epoch:[24/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.47 contra_loss_cluster: 3.98
2024-12-13 16:18:24,905 - INFO - now the learning rate is: 0.0004943370589173384
2024-12-13 16:18:25,168 - INFO - begin training stage: [25/350]
2024-12-13 16:18:31,289 - INFO - Epoch:[25/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.90
2024-12-13 16:18:34,335 - INFO - Epoch:[25/350] Step:[76/76] reconstruction_loss: 0.26 contra_loss: 3.46 contra_loss_cluster: 3.95
2024-12-13 16:18:34,628 - INFO - now the learning rate is: 0.0004938573384845465
2024-12-13 16:18:34,886 - INFO - begin training stage: [26/350]
2024-12-13 16:18:40,985 - INFO - Epoch:[26/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.50 contra_loss_cluster: 3.96
2024-12-13 16:18:44,098 - INFO - Epoch:[26/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.47 contra_loss_cluster: 3.91
2024-12-13 16:18:44,493 - INFO - now the learning rate is: 0.0004933583738753353
2024-12-13 16:18:44,765 - INFO - begin training stage: [27/350]
2024-12-13 16:18:50,816 - INFO - Epoch:[27/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.53 contra_loss_cluster: 3.91
2024-12-13 16:18:53,839 - INFO - Epoch:[27/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.44 contra_loss_cluster: 3.92
2024-12-13 16:18:54,120 - INFO - now the learning rate is: 0.0004928402052901147
2024-12-13 16:18:54,388 - INFO - begin training stage: [28/350]
2024-12-13 16:19:00,462 - INFO - Epoch:[28/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.51 contra_loss_cluster: 3.88
2024-12-13 16:19:03,531 - INFO - Epoch:[28/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.47 contra_loss_cluster: 3.88
2024-12-13 16:19:03,924 - INFO - now the learning rate is: 0.0004923028744765143
2024-12-13 16:19:04,201 - INFO - begin training stage: [29/350]
2024-12-13 16:19:10,278 - INFO - Epoch:[29/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.54 contra_loss_cluster: 3.92
2024-12-13 16:19:13,255 - INFO - Epoch:[29/350] Step:[76/76] reconstruction_loss: 0.26 contra_loss: 3.47 contra_loss_cluster: 3.85
2024-12-13 16:19:13,550 - INFO - now the learning rate is: 0.0004917464247260196
2024-12-13 16:19:13,811 - INFO - begin training stage: [30/350]
2024-12-13 16:19:19,857 - INFO - Epoch:[30/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.87
2024-12-13 16:19:22,844 - INFO - Epoch:[30/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.47 contra_loss_cluster: 3.79
2024-12-13 16:19:23,160 - INFO - now the learning rate is: 0.0004911709008704838
2024-12-13 16:19:23,417 - INFO - begin training stage: [31/350]
2024-12-13 16:19:29,358 - INFO - Epoch:[31/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.84
2024-12-13 16:19:32,390 - INFO - Epoch:[31/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.47 contra_loss_cluster: 3.80
2024-12-13 16:19:32,676 - INFO - now the learning rate is: 0.0004905763492785162
2024-12-13 16:19:32,931 - INFO - begin training stage: [32/350]
2024-12-13 16:19:39,015 - INFO - Epoch:[32/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 3.77
2024-12-13 16:19:42,158 - INFO - Epoch:[32/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.81
2024-12-13 16:19:42,453 - INFO - now the learning rate is: 0.0004899628178517462
2024-12-13 16:19:42,708 - INFO - begin training stage: [33/350]
2024-12-13 16:19:48,697 - INFO - Epoch:[33/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.73
2024-12-13 16:19:51,773 - INFO - Epoch:[33/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.46 contra_loss_cluster: 3.76
2024-12-13 16:19:52,166 - INFO - now the learning rate is: 0.0004893303560209644
2024-12-13 16:19:52,435 - INFO - begin training stage: [34/350]
2024-12-13 16:19:58,495 - INFO - Epoch:[34/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.77
2024-12-13 16:20:01,541 - INFO - Epoch:[34/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.46 contra_loss_cluster: 3.69
2024-12-13 16:20:01,818 - INFO - now the learning rate is: 0.0004886790147421392
2024-12-13 16:20:02,080 - INFO - begin training stage: [35/350]
2024-12-13 16:20:08,129 - INFO - Epoch:[35/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.72
2024-12-13 16:20:11,256 - INFO - Epoch:[35/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.44 contra_loss_cluster: 3.70
2024-12-13 16:20:11,533 - INFO - now the learning rate is: 0.00048800884649231223
2024-12-13 16:20:11,788 - INFO - begin training stage: [36/350]
2024-12-13 16:20:17,851 - INFO - Epoch:[36/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 3.76
2024-12-13 16:20:20,896 - INFO - Epoch:[36/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.45 contra_loss_cluster: 3.73
2024-12-13 16:20:21,184 - INFO - now the learning rate is: 0.00048731990526537
2024-12-13 16:20:21,460 - INFO - begin training stage: [37/350]
2024-12-13 16:20:27,507 - INFO - Epoch:[37/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.52 contra_loss_cluster: 3.70
2024-12-13 16:20:30,558 - INFO - Epoch:[37/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.44 contra_loss_cluster: 3.64
2024-12-13 16:20:30,849 - INFO - now the learning rate is: 0.0004866122465676939
2024-12-13 16:20:31,105 - INFO - begin training stage: [38/350]
2024-12-13 16:20:37,127 - INFO - Epoch:[38/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.65
2024-12-13 16:20:40,174 - INFO - Epoch:[38/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.44 contra_loss_cluster: 3.65
2024-12-13 16:20:40,462 - INFO - now the learning rate is: 0.00048588592741368814
2024-12-13 16:20:40,724 - INFO - begin training stage: [39/350]
2024-12-13 16:20:46,810 - INFO - Epoch:[39/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.52 contra_loss_cluster: 3.68
2024-12-13 16:20:49,844 - INFO - Epoch:[39/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 3.65
2024-12-13 16:20:50,131 - INFO - now the learning rate is: 0.0004851410063211859
2024-12-13 16:20:50,384 - INFO - begin training stage: [40/350]
2024-12-13 16:20:56,528 - INFO - Epoch:[40/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.53 contra_loss_cluster: 3.62
2024-12-13 16:20:59,580 - INFO - Epoch:[40/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.45 contra_loss_cluster: 3.63
2024-12-13 16:20:59,871 - INFO - now the learning rate is: 0.0004843775433067352
2024-12-13 16:21:00,125 - INFO - eval data number: 3758
2024-12-13 16:21:01,517 - INFO - loading query data ......
2024-12-13 16:21:02,183 - INFO - retrieval costs: 2.05769419670105
2024-12-13 16:21:02,303 - INFO - hamming distance computation costs: 0.11958980560302734
2024-12-13 16:21:02,470 - INFO - hamming ranking costs: 0.16702508926391602
2024-12-13 16:21:02,470 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 16:21:03,000 - INFO - similarity labels generation costs: 0.5301625728607178
2024-12-13 16:21:03,017 - INFO - topK: 5:, map: 0.10742666666666667
2024-12-13 16:21:03,072 - INFO - topK: 20:, map: 0.05850412410538378
2024-12-13 16:21:03,179 - INFO - topK: 40:, map: 0.03751194799315863
2024-12-13 16:21:03,338 - INFO - topK: 60:, map: 0.028045351302618864
2024-12-13 16:21:03,556 - INFO - topK: 80:, map: 0.02242745684610935
2024-12-13 16:21:03,822 - INFO - topK: 100:, map: 0.018744354267499753
2024-12-13 16:21:03,920 - INFO - begin training stage: [41/350]
2024-12-13 16:21:10,006 - INFO - Epoch:[41/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.52 contra_loss_cluster: 3.63
2024-12-13 16:21:13,071 - INFO - Epoch:[41/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.44 contra_loss_cluster: 3.58
2024-12-13 16:21:13,463 - INFO - now the learning rate is: 0.00048359559988076336
2024-12-13 16:21:13,723 - INFO - begin training stage: [42/350]
2024-12-13 16:21:19,714 - INFO - Epoch:[42/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.55
2024-12-13 16:21:22,744 - INFO - Epoch:[42/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.45 contra_loss_cluster: 3.58
2024-12-13 16:21:23,023 - INFO - now the learning rate is: 0.0004827952390426211
2024-12-13 16:21:23,287 - INFO - begin training stage: [43/350]
2024-12-13 16:21:29,371 - INFO - Epoch:[43/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.51 contra_loss_cluster: 3.50
2024-12-13 16:21:32,395 - INFO - Epoch:[43/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.47 contra_loss_cluster: 3.51
2024-12-13 16:21:32,682 - INFO - now the learning rate is: 0.0004819765252755069
2024-12-13 16:21:32,943 - INFO - begin training stage: [44/350]
2024-12-13 16:21:38,958 - INFO - Epoch:[44/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.57
2024-12-13 16:21:41,984 - INFO - Epoch:[44/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.46 contra_loss_cluster: 3.54
2024-12-13 16:21:42,279 - INFO - now the learning rate is: 0.00048113952454127186
2024-12-13 16:21:42,547 - INFO - begin training stage: [45/350]
2024-12-13 16:21:48,635 - INFO - Epoch:[45/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.49
2024-12-13 16:21:51,660 - INFO - Epoch:[45/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.53
2024-12-13 16:21:51,936 - INFO - now the learning rate is: 0.00048028430427510493
2024-12-13 16:21:52,203 - INFO - begin training stage: [46/350]
2024-12-13 16:21:58,286 - INFO - Epoch:[46/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.50 contra_loss_cluster: 3.55
2024-12-13 16:22:01,392 - INFO - Epoch:[46/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.46 contra_loss_cluster: 3.50
2024-12-13 16:22:01,713 - INFO - now the learning rate is: 0.0004794109333801003
2024-12-13 16:22:01,975 - INFO - begin training stage: [47/350]
2024-12-13 16:22:08,077 - INFO - Epoch:[47/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.46
2024-12-13 16:22:11,182 - INFO - Epoch:[47/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.43 contra_loss_cluster: 3.42
2024-12-13 16:22:11,458 - INFO - now the learning rate is: 0.0004785194822217058
2024-12-13 16:22:11,713 - INFO - begin training stage: [48/350]
2024-12-13 16:22:17,754 - INFO - Epoch:[48/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.51 contra_loss_cluster: 3.50
2024-12-13 16:22:20,910 - INFO - Epoch:[48/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 3.43
2024-12-13 16:22:21,313 - INFO - now the learning rate is: 0.0004776100226220537
2024-12-13 16:22:21,590 - INFO - begin training stage: [49/350]
2024-12-13 16:22:27,628 - INFO - Epoch:[49/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 3.49
2024-12-13 16:22:30,720 - INFO - Epoch:[49/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.45 contra_loss_cluster: 3.48
2024-12-13 16:22:30,999 - INFO - now the learning rate is: 0.0004766826278541742
2024-12-13 16:22:31,283 - INFO - begin training stage: [50/350]
2024-12-13 16:22:37,275 - INFO - Epoch:[50/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.43
2024-12-13 16:22:40,294 - INFO - Epoch:[50/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 3.41
2024-12-13 16:22:40,582 - INFO - now the learning rate is: 0.0004757373726360921
2024-12-13 16:22:40,847 - INFO - begin training stage: [51/350]
2024-12-13 16:22:42,365 - INFO - Epoch:[51/350] Step:[10/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 3.38
2024-12-13 16:22:43,741 - INFO - Epoch:[51/350] Step:[20/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 3.37
2024-12-13 16:22:45,110 - INFO - Epoch:[51/350] Step:[30/76] reconstruction_loss: 0.25 contra_loss: 3.47 contra_loss_cluster: 3.36
2024-12-13 16:22:46,501 - INFO - Epoch:[51/350] Step:[40/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.37
2024-12-13 16:22:47,867 - INFO - Epoch:[51/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.40
2024-12-13 16:22:49,269 - INFO - Epoch:[51/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.51 contra_loss_cluster: 3.38
2024-12-13 16:22:50,669 - INFO - Epoch:[51/350] Step:[70/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.32
2024-12-13 16:22:51,779 - INFO - now the learning rate is: 0.0004747743331248068
2024-12-13 16:22:52,055 - INFO - begin training stage: [52/350]
2024-12-13 16:22:53,598 - INFO - Epoch:[52/350] Step:[10/76] reconstruction_loss: 0.25 contra_loss: 3.46 contra_loss_cluster: 3.43
2024-12-13 16:22:54,977 - INFO - Epoch:[52/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.32
2024-12-13 16:22:56,355 - INFO - Epoch:[52/350] Step:[30/76] reconstruction_loss: 0.25 contra_loss: 3.51 contra_loss_cluster: 3.36
2024-12-13 16:22:57,725 - INFO - Epoch:[52/350] Step:[40/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 3.29
2024-12-13 16:22:59,098 - INFO - Epoch:[52/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.52 contra_loss_cluster: 3.34
2024-12-13 16:23:00,475 - INFO - Epoch:[52/350] Step:[60/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.36
2024-12-13 16:23:01,849 - INFO - Epoch:[52/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.33
2024-12-13 16:23:02,938 - INFO - now the learning rate is: 0.0004737935869101564
2024-12-13 16:23:03,201 - INFO - begin training stage: [53/350]
2024-12-13 16:23:04,716 - INFO - Epoch:[53/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.52 contra_loss_cluster: 3.40
2024-12-13 16:23:06,086 - INFO - Epoch:[53/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.37
2024-12-13 16:23:07,446 - INFO - Epoch:[53/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.54 contra_loss_cluster: 3.45
2024-12-13 16:23:08,801 - INFO - Epoch:[53/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 3.34
2024-12-13 16:23:10,193 - INFO - Epoch:[53/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.36
2024-12-13 16:23:11,602 - INFO - Epoch:[53/350] Step:[60/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 3.32
2024-12-13 16:23:13,010 - INFO - Epoch:[53/350] Step:[70/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.29
2024-12-13 16:23:14,136 - INFO - now the learning rate is: 0.0004727952130085668
2024-12-13 16:23:14,408 - INFO - begin training stage: [54/350]
2024-12-13 16:23:15,978 - INFO - Epoch:[54/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.35
2024-12-13 16:23:17,392 - INFO - Epoch:[54/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.38
2024-12-13 16:23:18,801 - INFO - Epoch:[54/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.30
2024-12-13 16:23:20,199 - INFO - Epoch:[54/350] Step:[40/76] reconstruction_loss: 0.25 contra_loss: 3.51 contra_loss_cluster: 3.41
2024-12-13 16:23:21,573 - INFO - Epoch:[54/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.33
2024-12-13 16:23:22,936 - INFO - Epoch:[54/350] Step:[60/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 3.33
2024-12-13 16:23:24,290 - INFO - Epoch:[54/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.33
2024-12-13 16:23:25,426 - INFO - now the learning rate is: 0.0004717792918566854
2024-12-13 16:23:25,687 - INFO - begin training stage: [55/350]
2024-12-13 16:23:27,232 - INFO - Epoch:[55/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.52 contra_loss_cluster: 3.26
2024-12-13 16:23:28,595 - INFO - Epoch:[55/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.29
2024-12-13 16:23:29,971 - INFO - Epoch:[55/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.27
2024-12-13 16:23:31,328 - INFO - Epoch:[55/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.22
2024-12-13 16:23:32,694 - INFO - Epoch:[55/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.52 contra_loss_cluster: 3.31
2024-12-13 16:23:34,063 - INFO - Epoch:[55/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.25
2024-12-13 16:23:35,450 - INFO - Epoch:[55/350] Step:[70/76] reconstruction_loss: 0.25 contra_loss: 3.51 contra_loss_cluster: 3.30
2024-12-13 16:23:36,632 - INFO - now the learning rate is: 0.0004707459053049003
2024-12-13 16:23:36,895 - INFO - begin training stage: [56/350]
2024-12-13 16:23:38,438 - INFO - Epoch:[56/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.28
2024-12-13 16:23:39,795 - INFO - Epoch:[56/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.52 contra_loss_cluster: 3.34
2024-12-13 16:23:41,130 - INFO - Epoch:[56/350] Step:[30/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.29
2024-12-13 16:23:42,466 - INFO - Epoch:[56/350] Step:[40/76] reconstruction_loss: 0.25 contra_loss: 3.52 contra_loss_cluster: 3.37
2024-12-13 16:23:43,805 - INFO - Epoch:[56/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.30
2024-12-13 16:23:45,158 - INFO - Epoch:[56/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.24
2024-12-13 16:23:46,598 - INFO - Epoch:[56/350] Step:[70/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.23
2024-12-13 16:23:47,748 - INFO - now the learning rate is: 0.000469695136610746
2024-12-13 16:23:48,027 - INFO - begin training stage: [57/350]
2024-12-13 16:23:49,561 - INFO - Epoch:[57/350] Step:[10/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 3.19
2024-12-13 16:23:50,972 - INFO - Epoch:[57/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.24
2024-12-13 16:23:52,331 - INFO - Epoch:[57/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.18
2024-12-13 16:23:53,699 - INFO - Epoch:[57/350] Step:[40/76] reconstruction_loss: 0.25 contra_loss: 3.51 contra_loss_cluster: 3.37
2024-12-13 16:23:55,074 - INFO - Epoch:[57/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.29
2024-12-13 16:23:56,447 - INFO - Epoch:[57/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.21
2024-12-13 16:23:57,814 - INFO - Epoch:[57/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.30
2024-12-13 16:23:58,976 - INFO - now the learning rate is: 0.0004686270704321957
2024-12-13 16:23:59,238 - INFO - begin training stage: [58/350]
2024-12-13 16:24:00,803 - INFO - Epoch:[58/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 3.20
2024-12-13 16:24:02,174 - INFO - Epoch:[58/350] Step:[20/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.27
2024-12-13 16:24:03,553 - INFO - Epoch:[58/350] Step:[30/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 3.23
2024-12-13 16:24:04,937 - INFO - Epoch:[58/350] Step:[40/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.29
2024-12-13 16:24:06,342 - INFO - Epoch:[58/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.51 contra_loss_cluster: 3.23
2024-12-13 16:24:07,717 - INFO - Epoch:[58/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.21
2024-12-13 16:24:09,093 - INFO - Epoch:[58/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.20
2024-12-13 16:24:10,227 - INFO - now the learning rate is: 0.0004675417928208402
2024-12-13 16:24:10,508 - INFO - begin training stage: [59/350]
2024-12-13 16:24:12,039 - INFO - Epoch:[59/350] Step:[10/76] reconstruction_loss: 0.25 contra_loss: 3.51 contra_loss_cluster: 3.25
2024-12-13 16:24:13,405 - INFO - Epoch:[59/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 3.22
2024-12-13 16:24:14,775 - INFO - Epoch:[59/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.17
2024-12-13 16:24:16,167 - INFO - Epoch:[59/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.12
2024-12-13 16:24:17,530 - INFO - Epoch:[59/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.26
2024-12-13 16:24:18,897 - INFO - Epoch:[59/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.26
2024-12-13 16:24:20,253 - INFO - Epoch:[59/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.25
2024-12-13 16:24:21,378 - INFO - now the learning rate is: 0.0004664393912149552
2024-12-13 16:24:21,656 - INFO - begin training stage: [60/350]
2024-12-13 16:24:23,191 - INFO - Epoch:[60/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.18
2024-12-13 16:24:24,565 - INFO - Epoch:[60/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.16
2024-12-13 16:24:25,935 - INFO - Epoch:[60/350] Step:[30/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.19
2024-12-13 16:24:27,307 - INFO - Epoch:[60/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 3.25
2024-12-13 16:24:28,680 - INFO - Epoch:[60/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 3.20
2024-12-13 16:24:30,043 - INFO - Epoch:[60/350] Step:[60/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.19
2024-12-13 16:24:31,409 - INFO - Epoch:[60/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.22
2024-12-13 16:24:32,578 - INFO - now the learning rate is: 0.00046531995443245663
2024-12-13 16:24:32,836 - INFO - eval data number: 3758
2024-12-13 16:24:34,260 - INFO - loading query data ......
2024-12-13 16:24:34,913 - INFO - retrieval costs: 2.0764589309692383
2024-12-13 16:24:35,072 - INFO - hamming distance computation costs: 0.15904951095581055
2024-12-13 16:24:35,242 - INFO - hamming ranking costs: 0.17021465301513672
2024-12-13 16:24:35,243 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 16:24:35,794 - INFO - similarity labels generation costs: 0.5517208576202393
2024-12-13 16:24:35,815 - INFO - topK: 5:, map: 0.13041666666666668
2024-12-13 16:24:35,890 - INFO - topK: 20:, map: 0.0716246660664327
2024-12-13 16:24:36,040 - INFO - topK: 40:, map: 0.04616935142307834
2024-12-13 16:24:36,255 - INFO - topK: 60:, map: 0.034020193052079914
2024-12-13 16:24:36,540 - INFO - topK: 80:, map: 0.026953495613716797
2024-12-13 16:24:36,896 - INFO - topK: 100:, map: 0.02228186467353965
2024-12-13 16:24:37,007 - INFO - begin training stage: [61/350]
2024-12-13 16:24:38,606 - INFO - Epoch:[61/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.24
2024-12-13 16:24:40,024 - INFO - Epoch:[61/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.21
2024-12-13 16:24:41,402 - INFO - Epoch:[61/350] Step:[30/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 3.23
2024-12-13 16:24:42,763 - INFO - Epoch:[61/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.16
2024-12-13 16:24:44,163 - INFO - Epoch:[61/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.27
2024-12-13 16:24:45,524 - INFO - Epoch:[61/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 3.21
2024-12-13 16:24:46,886 - INFO - Epoch:[61/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.25
2024-12-13 16:24:47,999 - INFO - now the learning rate is: 0.0004641835726637445
2024-12-13 16:24:48,253 - INFO - begin training stage: [62/350]
2024-12-13 16:24:49,804 - INFO - Epoch:[62/350] Step:[10/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.14
2024-12-13 16:24:51,189 - INFO - Epoch:[62/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.21
2024-12-13 16:24:52,570 - INFO - Epoch:[62/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 3.17
2024-12-13 16:24:53,950 - INFO - Epoch:[62/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.18
2024-12-13 16:24:55,315 - INFO - Epoch:[62/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 3.16
2024-12-13 16:24:56,694 - INFO - Epoch:[62/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.17
2024-12-13 16:24:58,138 - INFO - Epoch:[62/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 3.22
2024-12-13 16:24:59,303 - INFO - now the learning rate is: 0.00046303033746443695
2024-12-13 16:24:59,568 - INFO - begin training stage: [63/350]
2024-12-13 16:25:01,115 - INFO - Epoch:[63/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.11
2024-12-13 16:25:02,515 - INFO - Epoch:[63/350] Step:[20/76] reconstruction_loss: 0.25 contra_loss: 3.47 contra_loss_cluster: 3.17
2024-12-13 16:25:03,903 - INFO - Epoch:[63/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.14
2024-12-13 16:25:05,271 - INFO - Epoch:[63/350] Step:[40/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.12
2024-12-13 16:25:06,672 - INFO - Epoch:[63/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 3.10
2024-12-13 16:25:08,076 - INFO - Epoch:[63/350] Step:[60/76] reconstruction_loss: 0.25 contra_loss: 3.53 contra_loss_cluster: 3.18
2024-12-13 16:25:09,455 - INFO - Epoch:[63/350] Step:[70/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.20
2024-12-13 16:25:10,584 - INFO - now the learning rate is: 0.0004618603417479932
2024-12-13 16:25:10,828 - INFO - begin training stage: [64/350]
2024-12-13 16:25:12,394 - INFO - Epoch:[64/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.13
2024-12-13 16:25:13,772 - INFO - Epoch:[64/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.13
2024-12-13 16:25:15,146 - INFO - Epoch:[64/350] Step:[30/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.18
2024-12-13 16:25:16,510 - INFO - Epoch:[64/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.14
2024-12-13 16:25:17,873 - INFO - Epoch:[64/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.14
2024-12-13 16:25:19,240 - INFO - Epoch:[64/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 3.14
2024-12-13 16:25:20,601 - INFO - Epoch:[64/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.13
2024-12-13 16:25:21,711 - INFO - now the learning rate is: 0.00046067367977822843
2024-12-13 16:25:21,966 - INFO - begin training stage: [65/350]
2024-12-13 16:25:23,548 - INFO - Epoch:[65/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.17
2024-12-13 16:25:24,932 - INFO - Epoch:[65/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.03
2024-12-13 16:25:26,313 - INFO - Epoch:[65/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 3.10
2024-12-13 16:25:27,685 - INFO - Epoch:[65/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.16
2024-12-13 16:25:29,033 - INFO - Epoch:[65/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.15
2024-12-13 16:25:30,375 - INFO - Epoch:[65/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.19
2024-12-13 16:25:31,724 - INFO - Epoch:[65/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.17
2024-12-13 16:25:32,827 - INFO - now the learning rate is: 0.00045947044716171864
2024-12-13 16:25:33,105 - INFO - begin training stage: [66/350]
2024-12-13 16:25:34,648 - INFO - Epoch:[66/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 3.14
2024-12-13 16:25:36,022 - INFO - Epoch:[66/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.10
2024-12-13 16:25:37,389 - INFO - Epoch:[66/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.10
2024-12-13 16:25:38,762 - INFO - Epoch:[66/350] Step:[40/76] reconstruction_loss: 0.25 contra_loss: 3.49 contra_loss_cluster: 3.05
2024-12-13 16:25:40,134 - INFO - Epoch:[66/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 3.13
2024-12-13 16:25:41,501 - INFO - Epoch:[66/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.00
2024-12-13 16:25:42,870 - INFO - Epoch:[66/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.08
2024-12-13 16:25:43,987 - INFO - now the learning rate is: 0.0004582507408400982
2024-12-13 16:25:44,236 - INFO - begin training stage: [67/350]
2024-12-13 16:25:45,782 - INFO - Epoch:[67/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.11
2024-12-13 16:25:47,196 - INFO - Epoch:[67/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.09
2024-12-13 16:25:48,570 - INFO - Epoch:[67/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.07
2024-12-13 16:25:49,939 - INFO - Epoch:[67/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.13
2024-12-13 16:25:51,319 - INFO - Epoch:[67/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.04
2024-12-13 16:25:52,689 - INFO - Epoch:[67/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.50 contra_loss_cluster: 3.12
2024-12-13 16:25:54,071 - INFO - Epoch:[67/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.07
2024-12-13 16:25:55,205 - INFO - now the learning rate is: 0.00045701465908224906
2024-12-13 16:25:55,463 - INFO - begin training stage: [68/350]
2024-12-13 16:25:57,013 - INFO - Epoch:[68/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 3.07
2024-12-13 16:25:58,386 - INFO - Epoch:[68/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.13
2024-12-13 16:25:59,769 - INFO - Epoch:[68/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.03
2024-12-13 16:26:01,144 - INFO - Epoch:[68/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.07
2024-12-13 16:26:02,505 - INFO - Epoch:[68/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 3.04
2024-12-13 16:26:03,893 - INFO - Epoch:[68/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.06
2024-12-13 16:26:05,260 - INFO - Epoch:[68/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.02
2024-12-13 16:26:06,365 - INFO - now the learning rate is: 0.0004557623014763839
2024-12-13 16:26:06,617 - INFO - begin training stage: [69/350]
2024-12-13 16:26:08,147 - INFO - Epoch:[69/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.07
2024-12-13 16:26:09,522 - INFO - Epoch:[69/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.93
2024-12-13 16:26:10,898 - INFO - Epoch:[69/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.06
2024-12-13 16:26:12,268 - INFO - Epoch:[69/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.04
2024-12-13 16:26:13,630 - INFO - Epoch:[69/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.00
2024-12-13 16:26:14,998 - INFO - Epoch:[69/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.02
2024-12-13 16:26:16,385 - INFO - Epoch:[69/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 3.01
2024-12-13 16:26:17,496 - INFO - now the learning rate is: 0.00045449376892202234
2024-12-13 16:26:17,780 - INFO - begin training stage: [70/350]
2024-12-13 16:26:19,335 - INFO - Epoch:[70/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.99
2024-12-13 16:26:20,700 - INFO - Epoch:[70/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 3.00
2024-12-13 16:26:22,074 - INFO - Epoch:[70/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.07
2024-12-13 16:26:23,434 - INFO - Epoch:[70/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.96
2024-12-13 16:26:24,814 - INFO - Epoch:[70/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.44 contra_loss_cluster: 3.06
2024-12-13 16:26:26,192 - INFO - Epoch:[70/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 2.97
2024-12-13 16:26:27,613 - INFO - Epoch:[70/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.07
2024-12-13 16:26:28,734 - INFO - now the learning rate is: 0.00045320916362186176
2024-12-13 16:26:28,986 - INFO - begin training stage: [71/350]
2024-12-13 16:26:30,535 - INFO - Epoch:[71/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.03
2024-12-13 16:26:31,922 - INFO - Epoch:[71/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.98
2024-12-13 16:26:33,302 - INFO - Epoch:[71/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.94
2024-12-13 16:26:34,662 - INFO - Epoch:[71/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 3.14
2024-12-13 16:26:36,042 - INFO - Epoch:[71/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.11
2024-12-13 16:26:37,395 - INFO - Epoch:[71/350] Step:[60/76] reconstruction_loss: 0.25 contra_loss: 3.50 contra_loss_cluster: 2.98
2024-12-13 16:26:38,806 - INFO - Epoch:[71/350] Step:[70/76] reconstruction_loss: 0.25 contra_loss: 3.47 contra_loss_cluster: 2.93
2024-12-13 16:26:39,949 - INFO - now the learning rate is: 0.0004519085890735428
2024-12-13 16:26:40,202 - INFO - begin training stage: [72/350]
2024-12-13 16:26:41,786 - INFO - Epoch:[72/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.96
2024-12-13 16:26:43,185 - INFO - Epoch:[72/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 3.01
2024-12-13 16:26:44,593 - INFO - Epoch:[72/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.01
2024-12-13 16:26:46,008 - INFO - Epoch:[72/350] Step:[40/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 3.08
2024-12-13 16:26:47,424 - INFO - Epoch:[72/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 2.96
2024-12-13 16:26:48,832 - INFO - Epoch:[72/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 2.99
2024-12-13 16:26:50,244 - INFO - Epoch:[72/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 3.03
2024-12-13 16:26:51,383 - INFO - now the learning rate is: 0.00045059215006131145
2024-12-13 16:26:51,664 - INFO - begin training stage: [73/350]
2024-12-13 16:26:53,264 - INFO - Epoch:[73/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 3.03
2024-12-13 16:26:54,668 - INFO - Epoch:[73/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.09
2024-12-13 16:26:56,166 - INFO - Epoch:[73/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.50 contra_loss_cluster: 2.95
2024-12-13 16:26:57,588 - INFO - Epoch:[73/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 3.01
2024-12-13 16:26:59,072 - INFO - Epoch:[73/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.95
2024-12-13 16:27:00,511 - INFO - Epoch:[73/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.86
2024-12-13 16:27:01,849 - INFO - Epoch:[73/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.95
2024-12-13 16:27:03,098 - INFO - now the learning rate is: 0.00044925995264757603
2024-12-13 16:27:03,354 - INFO - begin training stage: [74/350]
2024-12-13 16:27:05,530 - INFO - Epoch:[74/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.92
2024-12-13 16:27:06,947 - INFO - Epoch:[74/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 3.05
2024-12-13 16:27:08,363 - INFO - Epoch:[74/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.97
2024-12-13 16:27:09,768 - INFO - Epoch:[74/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 2.87
2024-12-13 16:27:11,185 - INFO - Epoch:[74/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.95
2024-12-13 16:27:12,629 - INFO - Epoch:[74/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.84
2024-12-13 16:27:14,094 - INFO - Epoch:[74/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.97
2024-12-13 16:27:15,230 - INFO - now the learning rate is: 0.00044791210416436254
2024-12-13 16:27:15,509 - INFO - begin training stage: [75/350]
2024-12-13 16:27:17,095 - INFO - Epoch:[75/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.85
2024-12-13 16:27:18,469 - INFO - Epoch:[75/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.98
2024-12-13 16:27:19,811 - INFO - Epoch:[75/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.96
2024-12-13 16:27:21,176 - INFO - Epoch:[75/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 2.94
2024-12-13 16:27:22,561 - INFO - Epoch:[75/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.92
2024-12-13 16:27:23,940 - INFO - Epoch:[75/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.92
2024-12-13 16:27:25,321 - INFO - Epoch:[75/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.93
2024-12-13 16:27:26,557 - INFO - now the learning rate is: 0.0004465487132046669
2024-12-13 16:27:26,851 - INFO - begin training stage: [76/350]
2024-12-13 16:27:28,402 - INFO - Epoch:[76/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.97
2024-12-13 16:27:29,778 - INFO - Epoch:[76/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.52 contra_loss_cluster: 3.02
2024-12-13 16:27:31,134 - INFO - Epoch:[76/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.94
2024-12-13 16:27:32,502 - INFO - Epoch:[76/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.85
2024-12-13 16:27:33,863 - INFO - Epoch:[76/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.98
2024-12-13 16:27:35,236 - INFO - Epoch:[76/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.95
2024-12-13 16:27:36,599 - INFO - Epoch:[76/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.95
2024-12-13 16:27:37,726 - INFO - now the learning rate is: 0.0004451698896137061
2024-12-13 16:27:37,976 - INFO - begin training stage: [77/350]
2024-12-13 16:27:39,525 - INFO - Epoch:[77/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.88
2024-12-13 16:27:40,990 - INFO - Epoch:[77/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.92
2024-12-13 16:27:42,375 - INFO - Epoch:[77/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.93
2024-12-13 16:27:43,715 - INFO - Epoch:[77/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.91
2024-12-13 16:27:45,052 - INFO - Epoch:[77/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.91
2024-12-13 16:27:46,470 - INFO - Epoch:[77/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.86
2024-12-13 16:27:47,963 - INFO - Epoch:[77/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.92
2024-12-13 16:27:49,257 - INFO - now the learning rate is: 0.00044377574448006797
2024-12-13 16:27:49,524 - INFO - begin training stage: [78/350]
2024-12-13 16:27:51,130 - INFO - Epoch:[78/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.95
2024-12-13 16:27:52,541 - INFO - Epoch:[78/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.90
2024-12-13 16:27:53,956 - INFO - Epoch:[78/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.85
2024-12-13 16:27:55,374 - INFO - Epoch:[78/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.93
2024-12-13 16:27:56,773 - INFO - Epoch:[78/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.89
2024-12-13 16:27:58,114 - INFO - Epoch:[78/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.92
2024-12-13 16:27:59,517 - INFO - Epoch:[78/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 2.85
2024-12-13 16:28:00,691 - INFO - now the learning rate is: 0.0004423663901267612
2024-12-13 16:28:00,940 - INFO - begin training stage: [79/350]
2024-12-13 16:28:02,498 - INFO - Epoch:[79/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.86
2024-12-13 16:28:03,881 - INFO - Epoch:[79/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.94
2024-12-13 16:28:05,239 - INFO - Epoch:[79/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.89
2024-12-13 16:28:06,596 - INFO - Epoch:[79/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.83
2024-12-13 16:28:07,936 - INFO - Epoch:[79/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.83
2024-12-13 16:28:09,292 - INFO - Epoch:[79/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.89
2024-12-13 16:28:10,666 - INFO - Epoch:[79/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.92
2024-12-13 16:28:11,768 - INFO - now the learning rate is: 0.0004409419401021657
2024-12-13 16:28:12,020 - INFO - begin training stage: [80/350]
2024-12-13 16:28:13,560 - INFO - Epoch:[80/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.84
2024-12-13 16:28:14,940 - INFO - Epoch:[80/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.93
2024-12-13 16:28:16,333 - INFO - Epoch:[80/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.82
2024-12-13 16:28:17,739 - INFO - Epoch:[80/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.84
2024-12-13 16:28:19,151 - INFO - Epoch:[80/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.86
2024-12-13 16:28:20,522 - INFO - Epoch:[80/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.82
2024-12-13 16:28:21,901 - INFO - Epoch:[80/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.82
2024-12-13 16:28:22,992 - INFO - now the learning rate is: 0.0004395025091708843
2024-12-13 16:28:23,244 - INFO - eval data number: 3758
2024-12-13 16:28:24,688 - INFO - loading query data ......
2024-12-13 16:28:25,367 - INFO - retrieval costs: 2.122098207473755
2024-12-13 16:28:25,525 - INFO - hamming distance computation costs: 0.15800070762634277
2024-12-13 16:28:25,697 - INFO - hamming ranking costs: 0.17214322090148926
2024-12-13 16:28:25,697 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 16:28:26,224 - INFO - similarity labels generation costs: 0.5271499156951904
2024-12-13 16:28:26,246 - INFO - topK: 5:, map: 0.14159333333333332
2024-12-13 16:28:26,320 - INFO - topK: 20:, map: 0.07881631989420108
2024-12-13 16:28:26,465 - INFO - topK: 40:, map: 0.04946413731455559
2024-12-13 16:28:26,680 - INFO - topK: 60:, map: 0.03602426166024403
2024-12-13 16:28:26,969 - INFO - topK: 80:, map: 0.02831477904865327
2024-12-13 16:28:27,332 - INFO - topK: 100:, map: 0.02343259635202047
2024-12-13 16:28:27,440 - INFO - begin training stage: [81/350]
2024-12-13 16:28:29,010 - INFO - Epoch:[81/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.79
2024-12-13 16:28:30,415 - INFO - Epoch:[81/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.86
2024-12-13 16:28:31,848 - INFO - Epoch:[81/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.90
2024-12-13 16:28:33,266 - INFO - Epoch:[81/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.45 contra_loss_cluster: 2.83
2024-12-13 16:28:34,681 - INFO - Epoch:[81/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.95
2024-12-13 16:28:36,097 - INFO - Epoch:[81/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.90
2024-12-13 16:28:37,494 - INFO - Epoch:[81/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.83
2024-12-13 16:28:38,616 - INFO - now the learning rate is: 0.00043804821330449626
2024-12-13 16:28:38,881 - INFO - begin training stage: [82/350]
2024-12-13 16:28:40,427 - INFO - Epoch:[82/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.85
2024-12-13 16:28:41,801 - INFO - Epoch:[82/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.75
2024-12-13 16:28:43,139 - INFO - Epoch:[82/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.85
2024-12-13 16:28:44,500 - INFO - Epoch:[82/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.50 contra_loss_cluster: 2.85
2024-12-13 16:28:45,840 - INFO - Epoch:[82/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.87
2024-12-13 16:28:47,169 - INFO - Epoch:[82/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.88
2024-12-13 16:28:48,508 - INFO - Epoch:[82/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.79
2024-12-13 16:28:49,592 - INFO - now the learning rate is: 0.00043657916967221403
2024-12-13 16:28:49,850 - INFO - begin training stage: [83/350]
2024-12-13 16:28:51,422 - INFO - Epoch:[83/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.75
2024-12-13 16:28:52,798 - INFO - Epoch:[83/350] Step:[20/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 2.81
2024-12-13 16:28:54,195 - INFO - Epoch:[83/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.84
2024-12-13 16:28:55,614 - INFO - Epoch:[83/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.51 contra_loss_cluster: 2.78
2024-12-13 16:28:57,004 - INFO - Epoch:[83/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.88
2024-12-13 16:28:58,383 - INFO - Epoch:[83/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.90
2024-12-13 16:28:59,762 - INFO - Epoch:[83/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.84
2024-12-13 16:29:00,871 - INFO - now the learning rate is: 0.0004350954966314429
2024-12-13 16:29:01,125 - INFO - begin training stage: [84/350]
2024-12-13 16:29:02,674 - INFO - Epoch:[84/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.80
2024-12-13 16:29:04,071 - INFO - Epoch:[84/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.80
2024-12-13 16:29:05,505 - INFO - Epoch:[84/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.77
2024-12-13 16:29:06,928 - INFO - Epoch:[84/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 2.73
2024-12-13 16:29:08,340 - INFO - Epoch:[84/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.81
2024-12-13 16:29:09,726 - INFO - Epoch:[84/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.75
2024-12-13 16:29:11,109 - INFO - Epoch:[84/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.82
2024-12-13 16:29:12,245 - INFO - now the learning rate is: 0.0004335973137182454
2024-12-13 16:29:12,527 - INFO - begin training stage: [85/350]
2024-12-13 16:29:14,107 - INFO - Epoch:[85/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.85
2024-12-13 16:29:15,495 - INFO - Epoch:[85/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.74
2024-12-13 16:29:16,876 - INFO - Epoch:[85/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.85
2024-12-13 16:29:18,249 - INFO - Epoch:[85/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.74
2024-12-13 16:29:19,657 - INFO - Epoch:[85/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.72
2024-12-13 16:29:21,078 - INFO - Epoch:[85/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.73
2024-12-13 16:29:22,486 - INFO - Epoch:[85/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.83
2024-12-13 16:29:23,648 - INFO - now the learning rate is: 0.0004320847416377105
2024-12-13 16:29:23,931 - INFO - begin training stage: [86/350]
2024-12-13 16:29:25,518 - INFO - Epoch:[86/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.69
2024-12-13 16:29:26,922 - INFO - Epoch:[86/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.70
2024-12-13 16:29:28,319 - INFO - Epoch:[86/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.73
2024-12-13 16:29:29,729 - INFO - Epoch:[86/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.82
2024-12-13 16:29:31,146 - INFO - Epoch:[86/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.70
2024-12-13 16:29:32,585 - INFO - Epoch:[86/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 2.76
2024-12-13 16:29:34,022 - INFO - Epoch:[86/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.74
2024-12-13 16:29:35,152 - INFO - now the learning rate is: 0.0004305579022542287
2024-12-13 16:29:35,418 - INFO - begin training stage: [87/350]
2024-12-13 16:29:37,019 - INFO - Epoch:[87/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.74
2024-12-13 16:29:38,422 - INFO - Epoch:[87/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.76
2024-12-13 16:29:39,818 - INFO - Epoch:[87/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.74
2024-12-13 16:29:41,233 - INFO - Epoch:[87/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.72
2024-12-13 16:29:42,642 - INFO - Epoch:[87/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.79
2024-12-13 16:29:44,054 - INFO - Epoch:[87/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.74
2024-12-13 16:29:45,541 - INFO - Epoch:[87/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.45 contra_loss_cluster: 2.77
2024-12-13 16:29:46,723 - INFO - now the learning rate is: 0.00042901691858167356
2024-12-13 16:29:46,994 - INFO - begin training stage: [88/350]
2024-12-13 16:29:48,626 - INFO - Epoch:[88/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.75
2024-12-13 16:29:50,066 - INFO - Epoch:[88/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.66
2024-12-13 16:29:51,509 - INFO - Epoch:[88/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.77
2024-12-13 16:29:52,949 - INFO - Epoch:[88/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.70
2024-12-13 16:29:54,385 - INFO - Epoch:[88/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.78
2024-12-13 16:29:55,825 - INFO - Epoch:[88/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.71
2024-12-13 16:29:57,261 - INFO - Epoch:[88/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.74
2024-12-13 16:29:58,428 - INFO - now the learning rate is: 0.00042746191477349113
2024-12-13 16:29:58,718 - INFO - begin training stage: [89/350]
2024-12-13 16:30:00,264 - INFO - Epoch:[89/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.71
2024-12-13 16:30:01,673 - INFO - Epoch:[89/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.66
2024-12-13 16:30:03,068 - INFO - Epoch:[89/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.67
2024-12-13 16:30:04,441 - INFO - Epoch:[89/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.69
2024-12-13 16:30:05,814 - INFO - Epoch:[89/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.74
2024-12-13 16:30:07,186 - INFO - Epoch:[89/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.71
2024-12-13 16:30:08,562 - INFO - Epoch:[89/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.78
2024-12-13 16:30:09,687 - INFO - now the learning rate is: 0.0004258930161126967
2024-12-13 16:30:09,953 - INFO - begin training stage: [90/350]
2024-12-13 16:30:11,524 - INFO - Epoch:[90/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.71
2024-12-13 16:30:12,945 - INFO - Epoch:[90/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.69
2024-12-13 16:30:14,386 - INFO - Epoch:[90/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.76
2024-12-13 16:30:15,818 - INFO - Epoch:[90/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.70
2024-12-13 16:30:17,229 - INFO - Epoch:[90/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.68
2024-12-13 16:30:18,645 - INFO - Epoch:[90/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.72
2024-12-13 16:30:20,051 - INFO - Epoch:[90/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.68
2024-12-13 16:30:21,166 - INFO - now the learning rate is: 0.0004243103490017815
2024-12-13 16:30:21,431 - INFO - begin training stage: [91/350]
2024-12-13 16:30:23,002 - INFO - Epoch:[91/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.83
2024-12-13 16:30:24,429 - INFO - Epoch:[91/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.75
2024-12-13 16:30:25,825 - INFO - Epoch:[91/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.68
2024-12-13 16:30:27,261 - INFO - Epoch:[91/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.68
2024-12-13 16:30:28,660 - INFO - Epoch:[91/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.80
2024-12-13 16:30:30,054 - INFO - Epoch:[91/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.71
2024-12-13 16:30:31,462 - INFO - Epoch:[91/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.77
2024-12-13 16:30:32,570 - INFO - now the learning rate is: 0.00042271404095252835
2024-12-13 16:30:32,824 - INFO - begin training stage: [92/350]
2024-12-13 16:30:34,390 - INFO - Epoch:[92/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.65
2024-12-13 16:30:35,834 - INFO - Epoch:[92/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.66
2024-12-13 16:30:37,317 - INFO - Epoch:[92/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.63
2024-12-13 16:30:38,754 - INFO - Epoch:[92/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.71
2024-12-13 16:30:40,208 - INFO - Epoch:[92/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.71
2024-12-13 16:30:41,650 - INFO - Epoch:[92/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.67
2024-12-13 16:30:43,045 - INFO - Epoch:[92/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.67
2024-12-13 16:30:44,170 - INFO - now the learning rate is: 0.00042110422057573877
2024-12-13 16:30:44,435 - INFO - begin training stage: [93/350]
2024-12-13 16:30:46,026 - INFO - Epoch:[93/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.69
2024-12-13 16:30:47,441 - INFO - Epoch:[93/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.71
2024-12-13 16:30:48,851 - INFO - Epoch:[93/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.68
2024-12-13 16:30:50,260 - INFO - Epoch:[93/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.60
2024-12-13 16:30:51,626 - INFO - Epoch:[93/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.76
2024-12-13 16:30:53,003 - INFO - Epoch:[93/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.58
2024-12-13 16:30:54,373 - INFO - Epoch:[93/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.72
2024-12-13 16:30:55,473 - INFO - now the learning rate is: 0.0004194810175708707
2024-12-13 16:30:55,727 - INFO - begin training stage: [94/350]
2024-12-13 16:30:57,266 - INFO - Epoch:[94/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.48 contra_loss_cluster: 2.64
2024-12-13 16:30:58,651 - INFO - Epoch:[94/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.57
2024-12-13 16:31:00,014 - INFO - Epoch:[94/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.50 contra_loss_cluster: 2.57
2024-12-13 16:31:01,387 - INFO - Epoch:[94/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.71
2024-12-13 16:31:02,797 - INFO - Epoch:[94/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 2.66
2024-12-13 16:31:04,211 - INFO - Epoch:[94/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.75
2024-12-13 16:31:05,578 - INFO - Epoch:[94/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.62
2024-12-13 16:31:06,702 - INFO - now the learning rate is: 0.000417844562715589
2024-12-13 16:31:06,967 - INFO - begin training stage: [95/350]
2024-12-13 16:31:08,508 - INFO - Epoch:[95/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.63
2024-12-13 16:31:09,887 - INFO - Epoch:[95/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.55
2024-12-13 16:31:11,253 - INFO - Epoch:[95/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.59
2024-12-13 16:31:12,655 - INFO - Epoch:[95/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.62
2024-12-13 16:31:14,057 - INFO - Epoch:[95/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.61
2024-12-13 16:31:15,434 - INFO - Epoch:[95/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.76
2024-12-13 16:31:16,802 - INFO - Epoch:[95/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.67
2024-12-13 16:31:17,925 - INFO - now the learning rate is: 0.00041619498785522925
2024-12-13 16:31:18,207 - INFO - begin training stage: [96/350]
2024-12-13 16:31:19,814 - INFO - Epoch:[96/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.68
2024-12-13 16:31:21,183 - INFO - Epoch:[96/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.68
2024-12-13 16:31:22,552 - INFO - Epoch:[96/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.48 contra_loss_cluster: 2.71
2024-12-13 16:31:23,922 - INFO - Epoch:[96/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.51 contra_loss_cluster: 2.62
2024-12-13 16:31:25,318 - INFO - Epoch:[96/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.66
2024-12-13 16:31:26,729 - INFO - Epoch:[96/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.65
2024-12-13 16:31:28,124 - INFO - Epoch:[96/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.51
2024-12-13 16:31:29,262 - INFO - now the learning rate is: 0.0004145324258921752
2024-12-13 16:31:29,544 - INFO - begin training stage: [97/350]
2024-12-13 16:31:31,093 - INFO - Epoch:[97/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.59
2024-12-13 16:31:32,489 - INFO - Epoch:[97/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.66
2024-12-13 16:31:33,909 - INFO - Epoch:[97/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.68
2024-12-13 16:31:35,339 - INFO - Epoch:[97/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.53
2024-12-13 16:31:36,710 - INFO - Epoch:[97/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.62
2024-12-13 16:31:38,124 - INFO - Epoch:[97/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.69
2024-12-13 16:31:39,513 - INFO - Epoch:[97/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.60
2024-12-13 16:31:40,621 - INFO - now the learning rate is: 0.0004128570107751508
2024-12-13 16:31:40,876 - INFO - begin training stage: [98/350]
2024-12-13 16:31:42,476 - INFO - Epoch:[98/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.50 contra_loss_cluster: 2.61
2024-12-13 16:31:43,868 - INFO - Epoch:[98/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.59
2024-12-13 16:31:45,316 - INFO - Epoch:[98/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.51 contra_loss_cluster: 2.54
2024-12-13 16:31:46,714 - INFO - Epoch:[98/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.59
2024-12-13 16:31:48,143 - INFO - Epoch:[98/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.59
2024-12-13 16:31:49,594 - INFO - Epoch:[98/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.45 contra_loss_cluster: 2.62
2024-12-13 16:31:51,012 - INFO - Epoch:[98/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.56
2024-12-13 16:31:52,140 - INFO - now the learning rate is: 0.0004111688774884287
2024-12-13 16:31:52,419 - INFO - begin training stage: [99/350]
2024-12-13 16:31:53,949 - INFO - Epoch:[99/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.68
2024-12-13 16:31:55,347 - INFO - Epoch:[99/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.58
2024-12-13 16:31:56,722 - INFO - Epoch:[99/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.54
2024-12-13 16:31:58,103 - INFO - Epoch:[99/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.54
2024-12-13 16:31:59,472 - INFO - Epoch:[99/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.49
2024-12-13 16:32:00,861 - INFO - Epoch:[99/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.49
2024-12-13 16:32:02,285 - INFO - Epoch:[99/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.57
2024-12-13 16:32:03,455 - INFO - now the learning rate is: 0.00040946816204095456
2024-12-13 16:32:03,743 - INFO - begin training stage: [100/350]
2024-12-13 16:32:05,313 - INFO - Epoch:[100/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.58
2024-12-13 16:32:06,729 - INFO - Epoch:[100/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.55
2024-12-13 16:32:08,127 - INFO - Epoch:[100/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.62
2024-12-13 16:32:09,543 - INFO - Epoch:[100/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.51
2024-12-13 16:32:10,964 - INFO - Epoch:[100/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.57
2024-12-13 16:32:12,347 - INFO - Epoch:[100/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.49
2024-12-13 16:32:13,797 - INFO - Epoch:[100/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.45 contra_loss_cluster: 2.54
2024-12-13 16:32:15,002 - INFO - now the learning rate is: 0.00040775500145538945
2024-12-13 16:32:15,277 - INFO - eval data number: 3758
2024-12-13 16:32:16,758 - INFO - loading query data ......
2024-12-13 16:32:17,451 - INFO - retrieval costs: 2.1725964546203613
2024-12-13 16:32:17,571 - INFO - hamming distance computation costs: 0.12049984931945801
2024-12-13 16:32:17,744 - INFO - hamming ranking costs: 0.17263174057006836
2024-12-13 16:32:17,744 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 16:32:18,289 - INFO - similarity labels generation costs: 0.5447442531585693
2024-12-13 16:32:18,306 - INFO - topK: 5:, map: 0.14645666666666668
2024-12-13 16:32:18,365 - INFO - topK: 20:, map: 0.08244233698190354
2024-12-13 16:32:18,479 - INFO - topK: 40:, map: 0.05128684171163657
2024-12-13 16:32:18,644 - INFO - topK: 60:, map: 0.03735177545782341
2024-12-13 16:32:18,859 - INFO - topK: 80:, map: 0.029287338786937924
2024-12-13 16:32:19,135 - INFO - topK: 100:, map: 0.024121958869482447
2024-12-13 16:32:19,243 - INFO - begin training stage: [101/350]
2024-12-13 16:32:20,832 - INFO - Epoch:[101/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.58
2024-12-13 16:32:22,196 - INFO - Epoch:[101/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.49
2024-12-13 16:32:23,562 - INFO - Epoch:[101/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.60
2024-12-13 16:32:24,940 - INFO - Epoch:[101/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.51
2024-12-13 16:32:26,348 - INFO - Epoch:[101/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.53
2024-12-13 16:32:27,750 - INFO - Epoch:[101/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.53
2024-12-13 16:32:29,185 - INFO - Epoch:[101/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.56
2024-12-13 16:32:30,300 - INFO - now the learning rate is: 0.00040602953375706987
2024-12-13 16:32:30,620 - INFO - begin training stage: [102/350]
2024-12-13 16:32:32,163 - INFO - Epoch:[102/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.67
2024-12-13 16:32:33,540 - INFO - Epoch:[102/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.51
2024-12-13 16:32:34,900 - INFO - Epoch:[102/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.51
2024-12-13 16:32:36,300 - INFO - Epoch:[102/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.53
2024-12-13 16:32:37,717 - INFO - Epoch:[102/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.45
2024-12-13 16:32:39,090 - INFO - Epoch:[102/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.53
2024-12-13 16:32:40,469 - INFO - Epoch:[102/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.49
2024-12-13 16:32:41,594 - INFO - now the learning rate is: 0.0004042918979628878
2024-12-13 16:32:41,851 - INFO - begin training stage: [103/350]
2024-12-13 16:32:43,399 - INFO - Epoch:[103/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.67
2024-12-13 16:32:44,785 - INFO - Epoch:[103/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.54
2024-12-13 16:32:46,203 - INFO - Epoch:[103/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.54
2024-12-13 16:32:47,605 - INFO - Epoch:[103/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.46
2024-12-13 16:32:48,951 - INFO - Epoch:[103/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.54
2024-12-13 16:32:50,329 - INFO - Epoch:[103/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.46 contra_loss_cluster: 2.51
2024-12-13 16:32:51,729 - INFO - Epoch:[103/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.50
2024-12-13 16:32:52,866 - INFO - now the learning rate is: 0.00040254223407008995
2024-12-13 16:32:53,124 - INFO - begin training stage: [104/350]
2024-12-13 16:32:54,658 - INFO - Epoch:[104/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.36
2024-12-13 16:32:56,055 - INFO - Epoch:[104/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.44
2024-12-13 16:32:57,455 - INFO - Epoch:[104/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.56
2024-12-13 16:32:58,938 - INFO - Epoch:[104/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.45
2024-12-13 16:33:00,364 - INFO - Epoch:[104/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.47 contra_loss_cluster: 2.45
2024-12-13 16:33:01,839 - INFO - Epoch:[104/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.47
2024-12-13 16:33:03,631 - INFO - Epoch:[104/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.51
2024-12-13 16:33:05,205 - INFO - now the learning rate is: 0.0004007806830449989
2024-12-13 16:33:05,477 - INFO - begin training stage: [105/350]
2024-12-13 16:33:07,358 - INFO - Epoch:[105/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.55
2024-12-13 16:33:08,742 - INFO - Epoch:[105/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.43
2024-12-13 16:33:10,102 - INFO - Epoch:[105/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.48
2024-12-13 16:33:11,481 - INFO - Epoch:[105/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.42
2024-12-13 16:33:12,870 - INFO - Epoch:[105/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.50
2024-12-13 16:33:14,260 - INFO - Epoch:[105/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.50 contra_loss_cluster: 2.48
2024-12-13 16:33:15,664 - INFO - Epoch:[105/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.48
2024-12-13 16:33:16,796 - INFO - now the learning rate is: 0.00039900738681165573
2024-12-13 16:33:17,052 - INFO - begin training stage: [106/350]
2024-12-13 16:33:18,630 - INFO - Epoch:[106/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.41
2024-12-13 16:33:20,010 - INFO - Epoch:[106/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.50
2024-12-13 16:33:21,402 - INFO - Epoch:[106/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.49
2024-12-13 16:33:22,789 - INFO - Epoch:[106/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.50
2024-12-13 16:33:24,159 - INFO - Epoch:[106/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.45
2024-12-13 16:33:25,531 - INFO - Epoch:[106/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.53
2024-12-13 16:33:26,906 - INFO - Epoch:[106/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.50
2024-12-13 16:33:28,015 - INFO - now the learning rate is: 0.00039722248824038527
2024-12-13 16:33:28,285 - INFO - begin training stage: [107/350]
2024-12-13 16:33:29,836 - INFO - Epoch:[107/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.39
2024-12-13 16:33:31,217 - INFO - Epoch:[107/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.51
2024-12-13 16:33:32,581 - INFO - Epoch:[107/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.46
2024-12-13 16:33:33,994 - INFO - Epoch:[107/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.48
2024-12-13 16:33:35,408 - INFO - Epoch:[107/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.47
2024-12-13 16:33:36,804 - INFO - Epoch:[107/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.49
2024-12-13 16:33:38,226 - INFO - Epoch:[107/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.46 contra_loss_cluster: 2.40
2024-12-13 16:33:39,363 - INFO - now the learning rate is: 0.00039542613113628574
2024-12-13 16:33:39,639 - INFO - begin training stage: [108/350]
2024-12-13 16:33:41,197 - INFO - Epoch:[108/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.50 contra_loss_cluster: 2.45
2024-12-13 16:33:42,612 - INFO - Epoch:[108/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.44
2024-12-13 16:33:44,060 - INFO - Epoch:[108/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.41
2024-12-13 16:33:45,454 - INFO - Epoch:[108/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.42
2024-12-13 16:33:46,860 - INFO - Epoch:[108/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.50
2024-12-13 16:33:48,277 - INFO - Epoch:[108/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.44
2024-12-13 16:33:49,677 - INFO - Epoch:[108/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.48
2024-12-13 16:33:50,792 - INFO - now the learning rate is: 0.00039361846022764233
2024-12-13 16:33:51,069 - INFO - begin training stage: [109/350]
2024-12-13 16:33:52,637 - INFO - Epoch:[109/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.49
2024-12-13 16:33:54,049 - INFO - Epoch:[109/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.34
2024-12-13 16:33:55,481 - INFO - Epoch:[109/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.51
2024-12-13 16:33:56,927 - INFO - Epoch:[109/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.46
2024-12-13 16:33:58,349 - INFO - Epoch:[109/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.35
2024-12-13 16:33:59,757 - INFO - Epoch:[109/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.50 contra_loss_cluster: 2.62
2024-12-13 16:34:01,170 - INFO - Epoch:[109/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.45
2024-12-13 16:34:02,310 - INFO - now the learning rate is: 0.0003917996211542671
2024-12-13 16:34:02,583 - INFO - begin training stage: [110/350]
2024-12-13 16:34:04,131 - INFO - Epoch:[110/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.50
2024-12-13 16:34:05,550 - INFO - Epoch:[110/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.46 contra_loss_cluster: 2.47
2024-12-13 16:34:06,963 - INFO - Epoch:[110/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.43
2024-12-13 16:34:08,334 - INFO - Epoch:[110/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.37
2024-12-13 16:34:09,678 - INFO - Epoch:[110/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.33
2024-12-13 16:34:11,019 - INFO - Epoch:[110/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.30
2024-12-13 16:34:12,411 - INFO - Epoch:[110/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.41
2024-12-13 16:34:13,533 - INFO - now the learning rate is: 0.0003899697604557649
2024-12-13 16:34:13,800 - INFO - begin training stage: [111/350]
2024-12-13 16:34:15,394 - INFO - Epoch:[111/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.52
2024-12-13 16:34:16,764 - INFO - Epoch:[111/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.28
2024-12-13 16:34:18,161 - INFO - Epoch:[111/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.37
2024-12-13 16:34:19,724 - INFO - Epoch:[111/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.51
2024-12-13 16:34:21,226 - INFO - Epoch:[111/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.40
2024-12-13 16:34:22,632 - INFO - Epoch:[111/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.39
2024-12-13 16:34:24,002 - INFO - Epoch:[111/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.50
2024-12-13 16:34:25,118 - INFO - now the learning rate is: 0.0003881290255597272
2024-12-13 16:34:25,378 - INFO - begin training stage: [112/350]
2024-12-13 16:34:26,956 - INFO - Epoch:[112/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.46
2024-12-13 16:34:28,376 - INFO - Epoch:[112/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.41
2024-12-13 16:34:29,775 - INFO - Epoch:[112/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.42
2024-12-13 16:34:31,143 - INFO - Epoch:[112/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.39
2024-12-13 16:34:32,543 - INFO - Epoch:[112/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.42
2024-12-13 16:34:34,291 - INFO - Epoch:[112/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.55
2024-12-13 16:34:36,118 - INFO - Epoch:[112/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.39
2024-12-13 16:34:37,658 - INFO - now the learning rate is: 0.000386277564769854
2024-12-13 16:34:37,928 - INFO - begin training stage: [113/350]
2024-12-13 16:34:39,471 - INFO - Epoch:[113/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.37
2024-12-13 16:34:40,848 - INFO - Epoch:[113/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.41
2024-12-13 16:34:42,241 - INFO - Epoch:[113/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.37
2024-12-13 16:34:43,607 - INFO - Epoch:[113/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.33
2024-12-13 16:34:44,978 - INFO - Epoch:[113/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.45 contra_loss_cluster: 2.33
2024-12-13 16:34:46,370 - INFO - Epoch:[113/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.40
2024-12-13 16:34:47,781 - INFO - Epoch:[113/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.50
2024-12-13 16:34:48,927 - INFO - now the learning rate is: 0.0003844155272540056
2024-12-13 16:34:49,211 - INFO - begin training stage: [114/350]
2024-12-13 16:34:50,780 - INFO - Epoch:[114/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.39
2024-12-13 16:34:52,178 - INFO - Epoch:[114/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.32
2024-12-13 16:34:53,577 - INFO - Epoch:[114/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.42
2024-12-13 16:34:54,946 - INFO - Epoch:[114/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.43
2024-12-13 16:34:56,334 - INFO - Epoch:[114/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.49 contra_loss_cluster: 2.42
2024-12-13 16:34:57,709 - INFO - Epoch:[114/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.35
2024-12-13 16:34:59,115 - INFO - Epoch:[114/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.31
2024-12-13 16:35:00,245 - INFO - now the learning rate is: 0.00038254306303218396
2024-12-13 16:35:00,531 - INFO - begin training stage: [115/350]
2024-12-13 16:35:02,099 - INFO - Epoch:[115/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.42
2024-12-13 16:35:03,514 - INFO - Epoch:[115/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.45
2024-12-13 16:35:04,943 - INFO - Epoch:[115/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.47
2024-12-13 16:35:06,357 - INFO - Epoch:[115/350] Step:[40/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.43
2024-12-13 16:35:07,759 - INFO - Epoch:[115/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.33
2024-12-13 16:35:09,140 - INFO - Epoch:[115/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.37
2024-12-13 16:35:10,512 - INFO - Epoch:[115/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.42
2024-12-13 16:35:11,617 - INFO - now the learning rate is: 0.00038066032296444686
2024-12-13 16:35:11,871 - INFO - begin training stage: [116/350]
2024-12-13 16:35:13,441 - INFO - Epoch:[116/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.30
2024-12-13 16:35:14,812 - INFO - Epoch:[116/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.35
2024-12-13 16:35:16,179 - INFO - Epoch:[116/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.33
2024-12-13 16:35:17,546 - INFO - Epoch:[116/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.44
2024-12-13 16:35:18,953 - INFO - Epoch:[116/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.38
2024-12-13 16:35:20,353 - INFO - Epoch:[116/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.48 contra_loss_cluster: 2.34
2024-12-13 16:35:21,777 - INFO - Epoch:[116/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.30
2024-12-13 16:35:22,918 - INFO - now the learning rate is: 0.00037876745873875257
2024-12-13 16:35:23,205 - INFO - begin training stage: [117/350]
2024-12-13 16:35:24,828 - INFO - Epoch:[117/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.26
2024-12-13 16:35:26,256 - INFO - Epoch:[117/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.46 contra_loss_cluster: 2.46
2024-12-13 16:35:27,687 - INFO - Epoch:[117/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.28
2024-12-13 16:35:29,076 - INFO - Epoch:[117/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.42
2024-12-13 16:35:30,475 - INFO - Epoch:[117/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.36
2024-12-13 16:35:31,822 - INFO - Epoch:[117/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.37
2024-12-13 16:35:33,210 - INFO - Epoch:[117/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.30
2024-12-13 16:35:34,305 - INFO - now the learning rate is: 0.0003768646228587392
2024-12-13 16:35:34,561 - INFO - begin training stage: [118/350]
2024-12-13 16:35:36,137 - INFO - Epoch:[118/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.43
2024-12-13 16:35:37,532 - INFO - Epoch:[118/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.44 contra_loss_cluster: 2.36
2024-12-13 16:35:38,924 - INFO - Epoch:[118/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.44 contra_loss_cluster: 2.30
2024-12-13 16:35:40,326 - INFO - Epoch:[118/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.31
2024-12-13 16:35:41,706 - INFO - Epoch:[118/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.32
2024-12-13 16:35:43,094 - INFO - Epoch:[118/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.30
2024-12-13 16:35:44,497 - INFO - Epoch:[118/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.28
2024-12-13 16:35:45,645 - INFO - now the learning rate is: 0.0003749519686314377
2024-12-13 16:35:45,919 - INFO - begin training stage: [119/350]
2024-12-13 16:35:47,532 - INFO - Epoch:[119/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.47 contra_loss_cluster: 2.27
2024-12-13 16:35:48,945 - INFO - Epoch:[119/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.25
2024-12-13 16:35:50,361 - INFO - Epoch:[119/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.30
2024-12-13 16:35:51,784 - INFO - Epoch:[119/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.35
2024-12-13 16:35:53,167 - INFO - Epoch:[119/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.31
2024-12-13 16:35:54,568 - INFO - Epoch:[119/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.36
2024-12-13 16:35:55,978 - INFO - Epoch:[119/350] Step:[70/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.45
2024-12-13 16:35:57,102 - INFO - now the learning rate is: 0.00037302965015492006
2024-12-13 16:35:57,371 - INFO - begin training stage: [120/350]
2024-12-13 16:35:58,925 - INFO - Epoch:[120/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.28
2024-12-13 16:36:00,317 - INFO - Epoch:[120/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.24
2024-12-13 16:36:01,702 - INFO - Epoch:[120/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.35
2024-12-13 16:36:03,089 - INFO - Epoch:[120/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.35
2024-12-13 16:36:04,466 - INFO - Epoch:[120/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.27
2024-12-13 16:36:05,877 - INFO - Epoch:[120/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.27
2024-12-13 16:36:07,286 - INFO - Epoch:[120/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.51 contra_loss_cluster: 2.27
2024-12-13 16:36:08,422 - INFO - now the learning rate is: 0.0003710978223058845
2024-12-13 16:36:08,697 - INFO - eval data number: 3758
2024-12-13 16:36:10,114 - INFO - loading query data ......
2024-12-13 16:36:10,835 - INFO - retrieval costs: 2.1374075412750244
2024-12-13 16:36:10,978 - INFO - hamming distance computation costs: 0.14263391494750977
2024-12-13 16:36:11,160 - INFO - hamming ranking costs: 0.1818406581878662
2024-12-13 16:36:11,160 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 16:36:11,702 - INFO - similarity labels generation costs: 0.541715145111084
2024-12-13 16:36:11,719 - INFO - topK: 5:, map: 0.16395666666666667
2024-12-13 16:36:11,775 - INFO - topK: 20:, map: 0.08849303687626443
2024-12-13 16:36:11,887 - INFO - topK: 40:, map: 0.05477476743573005
2024-12-13 16:36:12,048 - INFO - topK: 60:, map: 0.040009073053638
2024-12-13 16:36:12,265 - INFO - topK: 80:, map: 0.031517346191005206
2024-12-13 16:36:12,531 - INFO - topK: 100:, map: 0.025948951647528504
2024-12-13 16:36:12,638 - INFO - begin training stage: [121/350]
2024-12-13 16:36:14,187 - INFO - Epoch:[121/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.41
2024-12-13 16:36:15,567 - INFO - Epoch:[121/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.47 contra_loss_cluster: 2.36
2024-12-13 16:36:16,941 - INFO - Epoch:[121/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.31
2024-12-13 16:36:18,303 - INFO - Epoch:[121/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.27
2024-12-13 16:36:19,719 - INFO - Epoch:[121/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.31
2024-12-13 16:36:21,139 - INFO - Epoch:[121/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.36
2024-12-13 16:36:22,575 - INFO - Epoch:[121/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.33
2024-12-13 16:36:23,735 - INFO - now the learning rate is: 0.00036915664072717687
2024-12-13 16:36:24,005 - INFO - begin training stage: [122/350]
2024-12-13 16:36:25,589 - INFO - Epoch:[122/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.31
2024-12-13 16:36:27,001 - INFO - Epoch:[122/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.38
2024-12-13 16:36:28,406 - INFO - Epoch:[122/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.37
2024-12-13 16:36:29,759 - INFO - Epoch:[122/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.32
2024-12-13 16:36:31,122 - INFO - Epoch:[122/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.27
2024-12-13 16:36:32,477 - INFO - Epoch:[122/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.35
2024-12-13 16:36:33,827 - INFO - Epoch:[122/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.25
2024-12-13 16:36:34,919 - INFO - now the learning rate is: 0.00036720626181525136
2024-12-13 16:36:35,187 - INFO - begin training stage: [123/350]
2024-12-13 16:36:36,712 - INFO - Epoch:[123/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.26
2024-12-13 16:36:38,075 - INFO - Epoch:[123/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.14
2024-12-13 16:36:39,495 - INFO - Epoch:[123/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.36
2024-12-13 16:36:40,910 - INFO - Epoch:[123/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.33
2024-12-13 16:36:42,322 - INFO - Epoch:[123/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.28
2024-12-13 16:36:43,729 - INFO - Epoch:[123/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.29
2024-12-13 16:36:45,137 - INFO - Epoch:[123/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.27
2024-12-13 16:36:46,267 - INFO - now the learning rate is: 0.0003652468427075695
2024-12-13 16:36:46,535 - INFO - begin training stage: [124/350]
2024-12-13 16:36:48,098 - INFO - Epoch:[124/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.30
2024-12-13 16:36:49,495 - INFO - Epoch:[124/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.22
2024-12-13 16:36:50,921 - INFO - Epoch:[124/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.30
2024-12-13 16:36:52,328 - INFO - Epoch:[124/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.30
2024-12-13 16:36:53,745 - INFO - Epoch:[124/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.16
2024-12-13 16:36:55,172 - INFO - Epoch:[124/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.14
2024-12-13 16:36:56,552 - INFO - Epoch:[124/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.36
2024-12-13 16:36:57,675 - INFO - now the learning rate is: 0.0003632785412699404
2024-12-13 16:36:57,930 - INFO - begin training stage: [125/350]
2024-12-13 16:36:59,491 - INFO - Epoch:[125/350] Step:[10/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.24
2024-12-13 16:37:00,876 - INFO - Epoch:[125/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.22
2024-12-13 16:37:02,298 - INFO - Epoch:[125/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.10
2024-12-13 16:37:03,709 - INFO - Epoch:[125/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.19
2024-12-13 16:37:05,121 - INFO - Epoch:[125/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.13
2024-12-13 16:37:06,537 - INFO - Epoch:[125/350] Step:[60/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.25
2024-12-13 16:37:07,937 - INFO - Epoch:[125/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.26
2024-12-13 16:37:09,074 - INFO - now the learning rate is: 0.0003613015160838015
2024-12-13 16:37:09,355 - INFO - begin training stage: [126/350]
2024-12-13 16:37:10,938 - INFO - Epoch:[126/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.27
2024-12-13 16:37:12,391 - INFO - Epoch:[126/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.28
2024-12-13 16:37:13,810 - INFO - Epoch:[126/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.31
2024-12-13 16:37:15,223 - INFO - Epoch:[126/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.26
2024-12-13 16:37:16,662 - INFO - Epoch:[126/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.24
2024-12-13 16:37:18,082 - INFO - Epoch:[126/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.25
2024-12-13 16:37:19,470 - INFO - Epoch:[126/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.23
2024-12-13 16:37:20,605 - INFO - now the learning rate is: 0.00035931592643344257
2024-12-13 16:37:20,874 - INFO - begin training stage: [127/350]
2024-12-13 16:37:22,430 - INFO - Epoch:[127/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.45 contra_loss_cluster: 2.29
2024-12-13 16:37:23,803 - INFO - Epoch:[127/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.49 contra_loss_cluster: 2.23
2024-12-13 16:37:25,210 - INFO - Epoch:[127/350] Step:[30/76] reconstruction_loss: 0.24 contra_loss: 3.46 contra_loss_cluster: 2.19
2024-12-13 16:37:26,573 - INFO - Epoch:[127/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.13
2024-12-13 16:37:27,937 - INFO - Epoch:[127/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.47 contra_loss_cluster: 2.11
2024-12-13 16:37:29,358 - INFO - Epoch:[127/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.21
2024-12-13 16:37:30,777 - INFO - Epoch:[127/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.20
2024-12-13 16:37:31,911 - INFO - now the learning rate is: 0.0003573219322931719
2024-12-13 16:37:32,177 - INFO - begin training stage: [128/350]
2024-12-13 16:37:33,740 - INFO - Epoch:[128/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.15
2024-12-13 16:37:35,146 - INFO - Epoch:[128/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.22
2024-12-13 16:37:36,550 - INFO - Epoch:[128/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.23
2024-12-13 16:37:37,916 - INFO - Epoch:[128/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.25
2024-12-13 16:37:39,317 - INFO - Epoch:[128/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.23
2024-12-13 16:37:40,731 - INFO - Epoch:[128/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.45 contra_loss_cluster: 2.08
2024-12-13 16:37:42,125 - INFO - Epoch:[128/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.48 contra_loss_cluster: 2.29
2024-12-13 16:37:43,255 - INFO - now the learning rate is: 0.000355319694314428
2024-12-13 16:37:43,539 - INFO - begin training stage: [129/350]
2024-12-13 16:37:45,080 - INFO - Epoch:[129/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.49 contra_loss_cluster: 2.27
2024-12-13 16:37:46,468 - INFO - Epoch:[129/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.31
2024-12-13 16:37:47,808 - INFO - Epoch:[129/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.47 contra_loss_cluster: 2.21
2024-12-13 16:37:49,177 - INFO - Epoch:[129/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.14
2024-12-13 16:37:50,565 - INFO - Epoch:[129/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.49 contra_loss_cluster: 2.13
2024-12-13 16:37:51,960 - INFO - Epoch:[129/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.31
2024-12-13 16:37:53,373 - INFO - Epoch:[129/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.12
2024-12-13 16:37:54,516 - INFO - now the learning rate is: 0.000353309373812836
2024-12-13 16:37:54,799 - INFO - begin training stage: [130/350]
2024-12-13 16:37:56,406 - INFO - Epoch:[130/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.46 contra_loss_cluster: 2.20
2024-12-13 16:37:57,777 - INFO - Epoch:[130/350] Step:[20/76] reconstruction_loss: 0.24 contra_loss: 3.48 contra_loss_cluster: 2.12
2024-12-13 16:37:59,132 - INFO - Epoch:[130/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.47 contra_loss_cluster: 2.08