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2024-12-13 16:46:47,705 - INFO - Self Supervised Video Hashing Training: S5VH
2024-12-13 16:46:47,706 - INFO - set seed: 1
2024-12-13 16:46:47,706 - INFO - PARAMETER ......
2024-12-13 16:46:47,706 - 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': 64, '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_64.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_64bit'}
2024-12-13 16:46:47,706 - INFO - loading model ......
2024-12-13 16:46:50,264 - INFO - loading train data ......
2024-12-13 16:46:52,093 - INFO - loading eval data ......
2024-12-13 16:46:52,853 - INFO - begin training stage: [1/350]
2024-12-13 16:47:00,642 - INFO - Epoch:[1/350] Step:[50/76] reconstruction_loss: 0.33 contra_loss: 3.69 contra_loss_cluster: 4.59
2024-12-13 16:47:03,953 - INFO - Epoch:[1/350] Step:[76/76] reconstruction_loss: 0.33 contra_loss: 3.63 contra_loss_cluster: 4.58
2024-12-13 16:47:04,280 - INFO - now the learning rate is: 0.0004999901304618634
2024-12-13 16:47:04,452 - INFO - begin training stage: [2/350]
2024-12-13 16:47:10,977 - INFO - Epoch:[2/350] Step:[50/76] reconstruction_loss: 0.32 contra_loss: 3.62 contra_loss_cluster: 4.57
2024-12-13 16:47:14,252 - INFO - Epoch:[2/350] Step:[76/76] reconstruction_loss: 0.33 contra_loss: 3.59 contra_loss_cluster: 4.56
2024-12-13 16:47:14,535 - INFO - now the learning rate is: 0.0004999605226426192
2024-12-13 16:47:14,806 - INFO - begin training stage: [3/350]
2024-12-13 16:47:21,315 - INFO - Epoch:[3/350] Step:[50/76] reconstruction_loss: 0.32 contra_loss: 3.55 contra_loss_cluster: 4.55
2024-12-13 16:47:24,633 - INFO - Epoch:[3/350] Step:[76/76] reconstruction_loss: 0.30 contra_loss: 3.56 contra_loss_cluster: 4.54
2024-12-13 16:47:24,980 - INFO - now the learning rate is: 0.0004999111789277001
2024-12-13 16:47:25,260 - INFO - begin training stage: [4/350]
2024-12-13 16:47:31,979 - INFO - Epoch:[4/350] Step:[50/76] reconstruction_loss: 0.29 contra_loss: 3.54 contra_loss_cluster: 4.51
2024-12-13 16:47:35,390 - INFO - Epoch:[4/350] Step:[76/76] reconstruction_loss: 0.30 contra_loss: 3.46 contra_loss_cluster: 4.51
2024-12-13 16:47:35,695 - INFO - now the learning rate is: 0.0004998421032926137
2024-12-13 16:47:35,983 - INFO - begin training stage: [5/350]
2024-12-13 16:47:42,705 - INFO - Epoch:[5/350] Step:[50/76] reconstruction_loss: 0.28 contra_loss: 3.52 contra_loss_cluster: 4.49
2024-12-13 16:47:46,074 - INFO - Epoch:[5/350] Step:[76/76] reconstruction_loss: 0.28 contra_loss: 3.48 contra_loss_cluster: 4.49
2024-12-13 16:47:46,403 - INFO - now the learning rate is: 0.0004997533013026221
2024-12-13 16:47:46,727 - INFO - begin training stage: [6/350]
2024-12-13 16:47:53,363 - INFO - Epoch:[6/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.49 contra_loss_cluster: 4.48
2024-12-13 16:47:56,755 - INFO - Epoch:[6/350] Step:[76/76] reconstruction_loss: 0.27 contra_loss: 3.48 contra_loss_cluster: 4.47
2024-12-13 16:47:57,061 - INFO - now the learning rate is: 0.0004996447801122936
2024-12-13 16:47:57,351 - INFO - begin training stage: [7/350]
2024-12-13 16:48:04,036 - INFO - Epoch:[7/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.49 contra_loss_cluster: 4.45
2024-12-13 16:48:07,539 - INFO - Epoch:[7/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.41 contra_loss_cluster: 4.43
2024-12-13 16:48:07,859 - INFO - now the learning rate is: 0.0004995165484649266
2024-12-13 16:48:08,141 - INFO - begin training stage: [8/350]
2024-12-13 16:48:14,834 - INFO - Epoch:[8/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.48 contra_loss_cluster: 4.42
2024-12-13 16:48:18,254 - INFO - Epoch:[8/350] Step:[76/76] reconstruction_loss: 0.26 contra_loss: 3.42 contra_loss_cluster: 4.41
2024-12-13 16:48:18,682 - INFO - now the learning rate is: 0.0004993686166918443
2024-12-13 16:48:18,954 - INFO - begin training stage: [9/350]
2024-12-13 16:48:25,600 - INFO - Epoch:[9/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.46 contra_loss_cluster: 4.40
2024-12-13 16:48:29,023 - INFO - Epoch:[9/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.43 contra_loss_cluster: 4.38
2024-12-13 16:48:29,317 - INFO - now the learning rate is: 0.0004992009967115635
2024-12-13 16:48:29,603 - INFO - begin training stage: [10/350]
2024-12-13 16:48:36,339 - INFO - Epoch:[10/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.44 contra_loss_cluster: 4.37
2024-12-13 16:48:39,760 - INFO - Epoch:[10/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.43 contra_loss_cluster: 4.35
2024-12-13 16:48:40,056 - INFO - now the learning rate is: 0.0004990137020288336
2024-12-13 16:48:40,345 - INFO - begin training stage: [11/350]
2024-12-13 16:48:47,148 - INFO - Epoch:[11/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.45 contra_loss_cluster: 4.35
2024-12-13 16:48:50,646 - INFO - Epoch:[11/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.39 contra_loss_cluster: 4.33
2024-12-13 16:48:50,941 - INFO - now the learning rate is: 0.0004988067477335482
2024-12-13 16:48:51,213 - INFO - begin training stage: [12/350]
2024-12-13 16:48:58,196 - INFO - Epoch:[12/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.44 contra_loss_cluster: 4.31
2024-12-13 16:49:01,615 - INFO - Epoch:[12/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.37 contra_loss_cluster: 4.33
2024-12-13 16:49:01,921 - INFO - now the learning rate is: 0.0004985801504995306
2024-12-13 16:49:02,214 - INFO - begin training stage: [13/350]
2024-12-13 16:49:09,101 - INFO - Epoch:[13/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.44 contra_loss_cluster: 4.29
2024-12-13 16:49:12,603 - INFO - Epoch:[13/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.38 contra_loss_cluster: 4.29
2024-12-13 16:49:12,928 - INFO - now the learning rate is: 0.0004983339285831892
2024-12-13 16:49:13,206 - INFO - begin training stage: [14/350]
2024-12-13 16:49:20,018 - INFO - Epoch:[14/350] Step:[50/76] reconstruction_loss: 0.26 contra_loss: 3.45 contra_loss_cluster: 4.27
2024-12-13 16:49:23,463 - INFO - Epoch:[14/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.39 contra_loss_cluster: 4.27
2024-12-13 16:49:23,799 - INFO - now the learning rate is: 0.000498068101822047
2024-12-13 16:49:24,095 - INFO - begin training stage: [15/350]
2024-12-13 16:49:31,015 - INFO - Epoch:[15/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.42 contra_loss_cluster: 4.24
2024-12-13 16:49:34,475 - INFO - Epoch:[15/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.37 contra_loss_cluster: 4.21
2024-12-13 16:49:34,814 - INFO - now the learning rate is: 0.000497782691633144
2024-12-13 16:49:35,104 - INFO - begin training stage: [16/350]
2024-12-13 16:49:41,837 - INFO - Epoch:[16/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.45 contra_loss_cluster: 4.21
2024-12-13 16:49:45,309 - INFO - Epoch:[16/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.37 contra_loss_cluster: 4.21
2024-12-13 16:49:45,598 - INFO - now the learning rate is: 0.0004974777210113104
2024-12-13 16:49:45,893 - INFO - begin training stage: [17/350]
2024-12-13 16:49:52,728 - INFO - Epoch:[17/350] Step:[50/76] reconstruction_loss: 0.25 contra_loss: 3.44 contra_loss_cluster: 4.21
2024-12-13 16:49:56,209 - INFO - Epoch:[17/350] Step:[76/76] reconstruction_loss: 0.25 contra_loss: 3.38 contra_loss_cluster: 4.20
2024-12-13 16:49:56,505 - INFO - now the learning rate is: 0.0004971532145273155
2024-12-13 16:49:56,791 - INFO - begin training stage: [18/350]
2024-12-13 16:50:03,539 - INFO - Epoch:[18/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.43 contra_loss_cluster: 4.17
2024-12-13 16:50:06,923 - INFO - Epoch:[18/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.38 contra_loss_cluster: 4.18
2024-12-13 16:50:07,255 - INFO - now the learning rate is: 0.0004968091983258864
2024-12-13 16:50:07,547 - INFO - begin training stage: [19/350]
2024-12-13 16:50:14,238 - INFO - Epoch:[19/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.41 contra_loss_cluster: 4.12
2024-12-13 16:50:17,768 - INFO - Epoch:[19/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.38 contra_loss_cluster: 4.13
2024-12-13 16:50:18,112 - INFO - now the learning rate is: 0.000496445700123603
2024-12-13 16:50:18,413 - INFO - begin training stage: [20/350]
2024-12-13 16:50:25,246 - INFO - Epoch:[20/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.41 contra_loss_cluster: 4.11
2024-12-13 16:50:28,722 - INFO - Epoch:[20/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.36 contra_loss_cluster: 4.12
2024-12-13 16:50:29,024 - INFO - now the learning rate is: 0.0004960627492066642
2024-12-13 16:50:29,320 - INFO - eval data number: 3758
2024-12-13 16:50:30,801 - INFO - loading query data ......
2024-12-13 16:50:31,520 - INFO - retrieval costs: 2.1981582641601562
2024-12-13 16:50:31,665 - INFO - hamming distance computation costs: 0.14513206481933594
2024-12-13 16:50:31,822 - INFO - hamming ranking costs: 0.1568896770477295
2024-12-13 16:50:31,822 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 16:50:32,469 - INFO - similarity labels generation costs: 0.6475949287414551
2024-12-13 16:50:32,486 - INFO - topK: 5:, map: 0.19075333333333333
2024-12-13 16:50:32,550 - INFO - topK: 20:, map: 0.10512987635945066
2024-12-13 16:50:32,659 - INFO - topK: 40:, map: 0.06728482393685031
2024-12-13 16:50:32,826 - INFO - topK: 60:, map: 0.04946689550904588
2024-12-13 16:50:33,089 - INFO - topK: 80:, map: 0.03918737943887004
2024-12-13 16:50:33,497 - INFO - topK: 100:, map: 0.03244645651378714
2024-12-13 16:50:33,576 - INFO - begin training stage: [21/350]
2024-12-13 16:50:40,174 - INFO - Epoch:[21/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.41 contra_loss_cluster: 4.09
2024-12-13 16:50:43,636 - INFO - Epoch:[21/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.36 contra_loss_cluster: 4.10
2024-12-13 16:50:43,934 - INFO - now the learning rate is: 0.0004956603764285286
2024-12-13 16:50:44,217 - INFO - begin training stage: [22/350]
2024-12-13 16:50:51,039 - INFO - Epoch:[22/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.42 contra_loss_cluster: 4.07
2024-12-13 16:50:54,475 - INFO - Epoch:[22/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.37 contra_loss_cluster: 4.06
2024-12-13 16:50:54,764 - INFO - now the learning rate is: 0.0004952386142074288
2024-12-13 16:50:55,055 - INFO - begin training stage: [23/350]
2024-12-13 16:51:01,798 - INFO - Epoch:[23/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.42 contra_loss_cluster: 4.06
2024-12-13 16:51:05,274 - INFO - Epoch:[23/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 4.04
2024-12-13 16:51:05,586 - INFO - now the learning rate is: 0.0004947974965237591
2024-12-13 16:51:05,863 - INFO - begin training stage: [24/350]
2024-12-13 16:51:12,756 - INFO - Epoch:[24/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.43 contra_loss_cluster: 4.01
2024-12-13 16:51:16,256 - INFO - Epoch:[24/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.36 contra_loss_cluster: 4.02
2024-12-13 16:51:16,534 - INFO - now the learning rate is: 0.0004943370589173384
2024-12-13 16:51:16,824 - INFO - begin training stage: [25/350]
2024-12-13 16:51:23,516 - INFO - Epoch:[25/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.40 contra_loss_cluster: 3.97
2024-12-13 16:51:27,009 - INFO - Epoch:[25/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.36 contra_loss_cluster: 4.02
2024-12-13 16:51:27,347 - INFO - now the learning rate is: 0.0004938573384845465
2024-12-13 16:51:27,633 - INFO - begin training stage: [26/350]
2024-12-13 16:51:34,410 - INFO - Epoch:[26/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.40 contra_loss_cluster: 4.01
2024-12-13 16:51:37,897 - INFO - Epoch:[26/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.35 contra_loss_cluster: 4.00
2024-12-13 16:51:38,304 - INFO - now the learning rate is: 0.0004933583738753353
2024-12-13 16:51:38,604 - INFO - begin training stage: [27/350]
2024-12-13 16:51:45,307 - INFO - Epoch:[27/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.45 contra_loss_cluster: 3.94
2024-12-13 16:51:48,669 - INFO - Epoch:[27/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.39 contra_loss_cluster: 3.97
2024-12-13 16:51:48,979 - INFO - now the learning rate is: 0.0004928402052901147
2024-12-13 16:51:49,276 - INFO - begin training stage: [28/350]
2024-12-13 16:51:56,121 - INFO - Epoch:[28/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.40 contra_loss_cluster: 3.97
2024-12-13 16:51:59,589 - INFO - Epoch:[28/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.95
2024-12-13 16:51:59,902 - INFO - now the learning rate is: 0.0004923028744765143
2024-12-13 16:52:00,199 - INFO - begin training stage: [29/350]
2024-12-13 16:52:07,057 - INFO - Epoch:[29/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.40 contra_loss_cluster: 3.94
2024-12-13 16:52:10,431 - INFO - Epoch:[29/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.35 contra_loss_cluster: 3.92
2024-12-13 16:52:10,784 - INFO - now the learning rate is: 0.0004917464247260196
2024-12-13 16:52:11,050 - INFO - begin training stage: [30/350]
2024-12-13 16:52:18,012 - INFO - Epoch:[30/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.89
2024-12-13 16:52:21,544 - INFO - Epoch:[30/350] Step:[76/76] reconstruction_loss: 0.24 contra_loss: 3.38 contra_loss_cluster: 3.89
2024-12-13 16:52:21,871 - INFO - now the learning rate is: 0.0004911709008704838
2024-12-13 16:52:22,151 - INFO - begin training stage: [31/350]
2024-12-13 16:52:28,989 - INFO - Epoch:[31/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.40 contra_loss_cluster: 3.89
2024-12-13 16:52:32,395 - INFO - Epoch:[31/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.34 contra_loss_cluster: 3.91
2024-12-13 16:52:32,732 - INFO - now the learning rate is: 0.0004905763492785162
2024-12-13 16:52:33,023 - INFO - begin training stage: [32/350]
2024-12-13 16:52:39,730 - INFO - Epoch:[32/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.42 contra_loss_cluster: 3.90
2024-12-13 16:52:43,266 - INFO - Epoch:[32/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.36 contra_loss_cluster: 3.87
2024-12-13 16:52:43,624 - INFO - now the learning rate is: 0.0004899628178517462
2024-12-13 16:52:43,907 - INFO - begin training stage: [33/350]
2024-12-13 16:52:50,688 - INFO - Epoch:[33/350] Step:[50/76] reconstruction_loss: 0.24 contra_loss: 3.41 contra_loss_cluster: 3.82
2024-12-13 16:52:54,243 - INFO - Epoch:[33/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.36 contra_loss_cluster: 3.83
2024-12-13 16:52:54,569 - INFO - now the learning rate is: 0.0004893303560209644
2024-12-13 16:52:54,852 - INFO - begin training stage: [34/350]
2024-12-13 16:53:01,824 - INFO - Epoch:[34/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.84
2024-12-13 16:53:05,339 - INFO - Epoch:[34/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.36 contra_loss_cluster: 3.86
2024-12-13 16:53:05,651 - INFO - now the learning rate is: 0.0004886790147421392
2024-12-13 16:53:05,935 - INFO - begin training stage: [35/350]
2024-12-13 16:53:12,671 - INFO - Epoch:[35/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.42 contra_loss_cluster: 3.83
2024-12-13 16:53:16,141 - INFO - Epoch:[35/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.36 contra_loss_cluster: 3.80
2024-12-13 16:53:16,481 - INFO - now the learning rate is: 0.00048800884649231223
2024-12-13 16:53:16,740 - INFO - begin training stage: [36/350]
2024-12-13 16:53:23,491 - INFO - Epoch:[36/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.40 contra_loss_cluster: 3.80
2024-12-13 16:53:26,849 - INFO - Epoch:[36/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.35 contra_loss_cluster: 3.79
2024-12-13 16:53:27,181 - INFO - now the learning rate is: 0.00048731990526537
2024-12-13 16:53:27,471 - INFO - begin training stage: [37/350]
2024-12-13 16:53:34,103 - INFO - Epoch:[37/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.79
2024-12-13 16:53:37,566 - INFO - Epoch:[37/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.34 contra_loss_cluster: 3.75
2024-12-13 16:53:37,907 - INFO - now the learning rate is: 0.0004866122465676939
2024-12-13 16:53:38,195 - INFO - begin training stage: [38/350]
2024-12-13 16:53:44,948 - INFO - Epoch:[38/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.77
2024-12-13 16:53:48,383 - INFO - Epoch:[38/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.36 contra_loss_cluster: 3.72
2024-12-13 16:53:48,729 - INFO - now the learning rate is: 0.00048588592741368814
2024-12-13 16:53:49,007 - INFO - begin training stage: [39/350]
2024-12-13 16:53:55,941 - INFO - Epoch:[39/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.40 contra_loss_cluster: 3.72
2024-12-13 16:53:59,370 - INFO - Epoch:[39/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.36 contra_loss_cluster: 3.71
2024-12-13 16:53:59,700 - INFO - now the learning rate is: 0.0004851410063211859
2024-12-13 16:53:59,981 - INFO - begin training stage: [40/350]
2024-12-13 16:54:06,863 - INFO - Epoch:[40/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.41 contra_loss_cluster: 3.72
2024-12-13 16:54:10,306 - INFO - Epoch:[40/350] Step:[76/76] reconstruction_loss: 0.22 contra_loss: 3.33 contra_loss_cluster: 3.71
2024-12-13 16:54:10,637 - INFO - now the learning rate is: 0.0004843775433067352
2024-12-13 16:54:10,940 - INFO - eval data number: 3758
2024-12-13 16:54:12,463 - INFO - loading query data ......
2024-12-13 16:54:13,207 - INFO - retrieval costs: 2.2651495933532715
2024-12-13 16:54:13,349 - INFO - hamming distance computation costs: 0.14166259765625
2024-12-13 16:54:13,468 - INFO - hamming ranking costs: 0.1194913387298584
2024-12-13 16:54:13,468 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 16:54:14,042 - INFO - similarity labels generation costs: 0.5732247829437256
2024-12-13 16:54:14,058 - INFO - topK: 5:, map: 0.20669333333333334
2024-12-13 16:54:14,124 - INFO - topK: 20:, map: 0.12045088362746642
2024-12-13 16:54:14,240 - INFO - topK: 40:, map: 0.07655958192868426
2024-12-13 16:54:14,412 - INFO - topK: 60:, map: 0.05567256945303155
2024-12-13 16:54:14,635 - INFO - topK: 80:, map: 0.04374715079144295
2024-12-13 16:54:14,918 - INFO - topK: 100:, map: 0.03601486084549325
2024-12-13 16:54:15,029 - INFO - begin training stage: [41/350]
2024-12-13 16:54:22,104 - INFO - Epoch:[41/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.40 contra_loss_cluster: 3.72
2024-12-13 16:54:25,505 - INFO - Epoch:[41/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.36 contra_loss_cluster: 3.66
2024-12-13 16:54:25,856 - INFO - now the learning rate is: 0.00048359559988076336
2024-12-13 16:54:26,111 - INFO - begin training stage: [42/350]
2024-12-13 16:54:32,953 - INFO - Epoch:[42/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.66
2024-12-13 16:54:36,361 - INFO - Epoch:[42/350] Step:[76/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.68
2024-12-13 16:54:36,665 - INFO - now the learning rate is: 0.0004827952390426211
2024-12-13 16:54:36,939 - INFO - begin training stage: [43/350]
2024-12-13 16:54:43,716 - INFO - Epoch:[43/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.64
2024-12-13 16:54:47,176 - INFO - Epoch:[43/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.34 contra_loss_cluster: 3.64
2024-12-13 16:54:47,510 - INFO - now the learning rate is: 0.0004819765252755069
2024-12-13 16:54:47,802 - INFO - begin training stage: [44/350]
2024-12-13 16:54:54,761 - INFO - Epoch:[44/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.62
2024-12-13 16:54:58,210 - INFO - Epoch:[44/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.35 contra_loss_cluster: 3.60
2024-12-13 16:54:58,624 - INFO - now the learning rate is: 0.00048113952454127186
2024-12-13 16:54:58,919 - INFO - begin training stage: [45/350]
2024-12-13 16:55:05,687 - INFO - Epoch:[45/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.41 contra_loss_cluster: 3.63
2024-12-13 16:55:09,207 - INFO - Epoch:[45/350] Step:[76/76] reconstruction_loss: 0.22 contra_loss: 3.34 contra_loss_cluster: 3.64
2024-12-13 16:55:09,539 - INFO - now the learning rate is: 0.00048028430427510493
2024-12-13 16:55:09,831 - INFO - begin training stage: [46/350]
2024-12-13 16:55:16,671 - INFO - Epoch:[46/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.41 contra_loss_cluster: 3.59
2024-12-13 16:55:20,131 - INFO - Epoch:[46/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.35 contra_loss_cluster: 3.58
2024-12-13 16:55:20,455 - INFO - now the learning rate is: 0.0004794109333801003
2024-12-13 16:55:20,744 - INFO - begin training stage: [47/350]
2024-12-13 16:55:27,550 - INFO - Epoch:[47/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.40 contra_loss_cluster: 3.50
2024-12-13 16:55:30,974 - INFO - Epoch:[47/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.35 contra_loss_cluster: 3.62
2024-12-13 16:55:31,305 - INFO - now the learning rate is: 0.0004785194822217058
2024-12-13 16:55:31,604 - INFO - begin training stage: [48/350]
2024-12-13 16:55:38,463 - INFO - Epoch:[48/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.61
2024-12-13 16:55:41,883 - INFO - Epoch:[48/350] Step:[76/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 3.59
2024-12-13 16:55:42,329 - INFO - now the learning rate is: 0.0004776100226220537
2024-12-13 16:55:42,627 - INFO - begin training stage: [49/350]
2024-12-13 16:55:49,372 - INFO - Epoch:[49/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.49
2024-12-13 16:55:52,891 - INFO - Epoch:[49/350] Step:[76/76] reconstruction_loss: 0.22 contra_loss: 3.34 contra_loss_cluster: 3.56
2024-12-13 16:55:53,247 - INFO - now the learning rate is: 0.0004766826278541742
2024-12-13 16:55:53,500 - INFO - begin training stage: [50/350]
2024-12-13 16:56:00,389 - INFO - Epoch:[50/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.52
2024-12-13 16:56:03,966 - INFO - Epoch:[50/350] Step:[76/76] reconstruction_loss: 0.23 contra_loss: 3.34 contra_loss_cluster: 3.54
2024-12-13 16:56:04,323 - INFO - now the learning rate is: 0.0004757373726360921
2024-12-13 16:56:04,573 - INFO - begin training stage: [51/350]
2024-12-13 16:56:06,293 - INFO - Epoch:[51/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.52
2024-12-13 16:56:07,895 - INFO - Epoch:[51/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.50
2024-12-13 16:56:09,439 - INFO - Epoch:[51/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.51
2024-12-13 16:56:11,013 - INFO - Epoch:[51/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.40 contra_loss_cluster: 3.51
2024-12-13 16:56:12,541 - INFO - Epoch:[51/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.52
2024-12-13 16:56:14,062 - INFO - Epoch:[51/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.42 contra_loss_cluster: 3.52
2024-12-13 16:56:15,689 - INFO - Epoch:[51/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.41 contra_loss_cluster: 3.53
2024-12-13 16:56:16,943 - INFO - now the learning rate is: 0.0004747743331248068
2024-12-13 16:56:17,235 - INFO - begin training stage: [52/350]
2024-12-13 16:56:18,918 - INFO - Epoch:[52/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.47
2024-12-13 16:56:20,461 - INFO - Epoch:[52/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.48
2024-12-13 16:56:21,993 - INFO - Epoch:[52/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.44
2024-12-13 16:56:23,581 - INFO - Epoch:[52/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.49
2024-12-13 16:56:25,105 - INFO - Epoch:[52/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.49
2024-12-13 16:56:26,672 - INFO - Epoch:[52/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.47
2024-12-13 16:56:28,270 - INFO - Epoch:[52/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.48
2024-12-13 16:56:29,490 - INFO - now the learning rate is: 0.0004737935869101564
2024-12-13 16:56:29,743 - INFO - begin training stage: [53/350]
2024-12-13 16:56:31,426 - INFO - Epoch:[53/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.41 contra_loss_cluster: 3.46
2024-12-13 16:56:33,017 - INFO - Epoch:[53/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.41 contra_loss_cluster: 3.45
2024-12-13 16:56:34,519 - INFO - Epoch:[53/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.51
2024-12-13 16:56:35,999 - INFO - Epoch:[53/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.41 contra_loss_cluster: 3.50
2024-12-13 16:56:37,547 - INFO - Epoch:[53/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.52
2024-12-13 16:56:39,088 - INFO - Epoch:[53/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.46
2024-12-13 16:56:40,642 - INFO - Epoch:[53/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.37 contra_loss_cluster: 3.45
2024-12-13 16:56:41,889 - INFO - now the learning rate is: 0.0004727952130085668
2024-12-13 16:56:42,147 - INFO - begin training stage: [54/350]
2024-12-13 16:56:43,851 - INFO - Epoch:[54/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.41
2024-12-13 16:56:45,374 - INFO - Epoch:[54/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.46
2024-12-13 16:56:46,878 - INFO - Epoch:[54/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.41 contra_loss_cluster: 3.46
2024-12-13 16:56:48,418 - INFO - Epoch:[54/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.49
2024-12-13 16:56:49,969 - INFO - Epoch:[54/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.39
2024-12-13 16:56:51,530 - INFO - Epoch:[54/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.44
2024-12-13 16:56:53,177 - INFO - Epoch:[54/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.46
2024-12-13 16:56:54,428 - INFO - now the learning rate is: 0.0004717792918566854
2024-12-13 16:56:54,721 - INFO - begin training stage: [55/350]
2024-12-13 16:56:56,416 - INFO - Epoch:[55/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.47
2024-12-13 16:56:58,000 - INFO - Epoch:[55/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.40 contra_loss_cluster: 3.40
2024-12-13 16:56:59,501 - INFO - Epoch:[55/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.50
2024-12-13 16:57:01,102 - INFO - Epoch:[55/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.45
2024-12-13 16:57:02,679 - INFO - Epoch:[55/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.37
2024-12-13 16:57:04,218 - INFO - Epoch:[55/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.44
2024-12-13 16:57:05,773 - INFO - Epoch:[55/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.41 contra_loss_cluster: 3.43
2024-12-13 16:57:07,099 - INFO - now the learning rate is: 0.0004707459053049003
2024-12-13 16:57:07,455 - INFO - begin training stage: [56/350]
2024-12-13 16:57:09,111 - INFO - Epoch:[56/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.42
2024-12-13 16:57:10,708 - INFO - Epoch:[56/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.51
2024-12-13 16:57:12,273 - INFO - Epoch:[56/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.39
2024-12-13 16:57:13,836 - INFO - Epoch:[56/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.40
2024-12-13 16:57:15,358 - INFO - Epoch:[56/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.44
2024-12-13 16:57:16,939 - INFO - Epoch:[56/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.41
2024-12-13 16:57:18,520 - INFO - Epoch:[56/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.37
2024-12-13 16:57:19,767 - INFO - now the learning rate is: 0.000469695136610746
2024-12-13 16:57:20,041 - INFO - begin training stage: [57/350]
2024-12-13 16:57:21,789 - INFO - Epoch:[57/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.40 contra_loss_cluster: 3.36
2024-12-13 16:57:23,337 - INFO - Epoch:[57/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.36 contra_loss_cluster: 3.37
2024-12-13 16:57:24,845 - INFO - Epoch:[57/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.39
2024-12-13 16:57:26,378 - INFO - Epoch:[57/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.34
2024-12-13 16:57:27,877 - INFO - Epoch:[57/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.41
2024-12-13 16:57:29,380 - INFO - Epoch:[57/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.36
2024-12-13 16:57:30,912 - INFO - Epoch:[57/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.39
2024-12-13 16:57:32,219 - INFO - now the learning rate is: 0.0004686270704321957
2024-12-13 16:57:32,507 - INFO - begin training stage: [58/350]
2024-12-13 16:57:34,203 - INFO - Epoch:[58/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.46
2024-12-13 16:57:35,754 - INFO - Epoch:[58/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.37
2024-12-13 16:57:37,213 - INFO - Epoch:[58/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 3.35
2024-12-13 16:57:38,731 - INFO - Epoch:[58/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.30
2024-12-13 16:57:40,278 - INFO - Epoch:[58/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.36
2024-12-13 16:57:41,748 - INFO - Epoch:[58/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.41 contra_loss_cluster: 3.37
2024-12-13 16:57:43,206 - INFO - Epoch:[58/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.41 contra_loss_cluster: 3.41
2024-12-13 16:57:44,599 - INFO - now the learning rate is: 0.0004675417928208402
2024-12-13 16:57:44,904 - INFO - begin training stage: [59/350]
2024-12-13 16:57:46,581 - INFO - Epoch:[59/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.42
2024-12-13 16:57:48,129 - INFO - Epoch:[59/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.41
2024-12-13 16:57:49,643 - INFO - Epoch:[59/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.43
2024-12-13 16:57:51,161 - INFO - Epoch:[59/350] Step:[40/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.38
2024-12-13 16:57:52,715 - INFO - Epoch:[59/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.39
2024-12-13 16:57:54,229 - INFO - Epoch:[59/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.43
2024-12-13 16:57:55,784 - INFO - Epoch:[59/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.35
2024-12-13 16:57:57,079 - INFO - now the learning rate is: 0.0004664393912149552
2024-12-13 16:57:57,364 - INFO - begin training stage: [60/350]
2024-12-13 16:57:59,106 - INFO - Epoch:[60/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.39
2024-12-13 16:58:00,605 - INFO - Epoch:[60/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.36
2024-12-13 16:58:02,111 - INFO - Epoch:[60/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.31
2024-12-13 16:58:03,650 - INFO - Epoch:[60/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.33
2024-12-13 16:58:05,177 - INFO - Epoch:[60/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.39
2024-12-13 16:58:06,750 - INFO - Epoch:[60/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.26
2024-12-13 16:58:08,226 - INFO - Epoch:[60/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.36
2024-12-13 16:58:09,501 - INFO - now the learning rate is: 0.00046531995443245663
2024-12-13 16:58:09,792 - INFO - eval data number: 3758
2024-12-13 16:58:11,516 - INFO - loading query data ......
2024-12-13 16:58:13,086 - INFO - retrieval costs: 3.292232036590576
2024-12-13 16:58:13,194 - INFO - hamming distance computation costs: 0.10841059684753418
2024-12-13 16:58:13,324 - INFO - hamming ranking costs: 0.12957262992858887
2024-12-13 16:58:13,324 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 16:58:13,902 - INFO - similarity labels generation costs: 0.5777862071990967
2024-12-13 16:58:13,921 - INFO - topK: 5:, map: 0.22383
2024-12-13 16:58:13,978 - INFO - topK: 20:, map: 0.12852378430822703
2024-12-13 16:58:14,096 - INFO - topK: 40:, map: 0.08138102523963645
2024-12-13 16:58:14,267 - INFO - topK: 60:, map: 0.0595393993290258
2024-12-13 16:58:14,487 - INFO - topK: 80:, map: 0.04661892557652519
2024-12-13 16:58:14,771 - INFO - topK: 100:, map: 0.038186854405773504
2024-12-13 16:58:14,879 - INFO - begin training stage: [61/350]
2024-12-13 16:58:16,567 - INFO - Epoch:[61/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.36
2024-12-13 16:58:18,048 - INFO - Epoch:[61/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.37
2024-12-13 16:58:19,588 - INFO - Epoch:[61/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.32
2024-12-13 16:58:21,043 - INFO - Epoch:[61/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.24
2024-12-13 16:58:22,551 - INFO - Epoch:[61/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.23
2024-12-13 16:58:24,052 - INFO - Epoch:[61/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.36
2024-12-13 16:58:25,559 - INFO - Epoch:[61/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.39
2024-12-13 16:58:26,799 - INFO - now the learning rate is: 0.0004641835726637445
2024-12-13 16:58:27,055 - INFO - begin training stage: [62/350]
2024-12-13 16:58:28,683 - INFO - Epoch:[62/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.37 contra_loss_cluster: 3.30
2024-12-13 16:58:30,217 - INFO - Epoch:[62/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.25
2024-12-13 16:58:31,780 - INFO - Epoch:[62/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.41
2024-12-13 16:58:33,278 - INFO - Epoch:[62/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 3.31
2024-12-13 16:58:34,808 - INFO - Epoch:[62/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.28
2024-12-13 16:58:36,304 - INFO - Epoch:[62/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.23
2024-12-13 16:58:37,812 - INFO - Epoch:[62/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.31
2024-12-13 16:58:39,108 - INFO - now the learning rate is: 0.00046303033746443695
2024-12-13 16:58:39,411 - INFO - begin training stage: [63/350]
2024-12-13 16:58:41,145 - INFO - Epoch:[63/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.25
2024-12-13 16:58:42,688 - INFO - Epoch:[63/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.29
2024-12-13 16:58:44,243 - INFO - Epoch:[63/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.33
2024-12-13 16:58:45,744 - INFO - Epoch:[63/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.33
2024-12-13 16:58:47,264 - INFO - Epoch:[63/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 3.32
2024-12-13 16:58:48,787 - INFO - Epoch:[63/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.25
2024-12-13 16:58:50,271 - INFO - Epoch:[63/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.24
2024-12-13 16:58:51,665 - INFO - now the learning rate is: 0.0004618603417479932
2024-12-13 16:58:51,964 - INFO - begin training stage: [64/350]
2024-12-13 16:58:53,672 - INFO - Epoch:[64/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.35
2024-12-13 16:58:55,181 - INFO - Epoch:[64/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.33
2024-12-13 16:58:56,745 - INFO - Epoch:[64/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.30
2024-12-13 16:58:58,315 - INFO - Epoch:[64/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.28
2024-12-13 16:58:59,787 - INFO - Epoch:[64/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.32
2024-12-13 16:59:01,355 - INFO - Epoch:[64/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.32
2024-12-13 16:59:02,933 - INFO - Epoch:[64/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.22
2024-12-13 16:59:04,179 - INFO - now the learning rate is: 0.00046067367977822843
2024-12-13 16:59:04,431 - INFO - begin training stage: [65/350]
2024-12-13 16:59:06,032 - INFO - Epoch:[65/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.28
2024-12-13 16:59:07,555 - INFO - Epoch:[65/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.37 contra_loss_cluster: 3.25
2024-12-13 16:59:09,037 - INFO - Epoch:[65/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 3.23
2024-12-13 16:59:10,553 - INFO - Epoch:[65/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 3.24
2024-12-13 16:59:12,005 - INFO - Epoch:[65/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.19
2024-12-13 16:59:13,598 - INFO - Epoch:[65/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.25
2024-12-13 16:59:15,134 - INFO - Epoch:[65/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.28
2024-12-13 16:59:16,428 - INFO - now the learning rate is: 0.00045947044716171864
2024-12-13 16:59:16,699 - INFO - begin training stage: [66/350]
2024-12-13 16:59:18,435 - INFO - Epoch:[66/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.17
2024-12-13 16:59:20,007 - INFO - Epoch:[66/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.25
2024-12-13 16:59:21,529 - INFO - Epoch:[66/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.32
2024-12-13 16:59:23,060 - INFO - Epoch:[66/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.27
2024-12-13 16:59:24,555 - INFO - Epoch:[66/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.20
2024-12-13 16:59:26,039 - INFO - Epoch:[66/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.20
2024-12-13 16:59:27,659 - INFO - Epoch:[66/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.24
2024-12-13 16:59:29,010 - INFO - now the learning rate is: 0.0004582507408400982
2024-12-13 16:59:29,302 - INFO - begin training stage: [67/350]
2024-12-13 16:59:31,062 - INFO - Epoch:[67/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.32
2024-12-13 16:59:32,659 - INFO - Epoch:[67/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.29
2024-12-13 16:59:34,204 - INFO - Epoch:[67/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.20
2024-12-13 16:59:35,711 - INFO - Epoch:[67/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.21
2024-12-13 16:59:37,298 - INFO - Epoch:[67/350] Step:[50/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.24
2024-12-13 16:59:38,800 - INFO - Epoch:[67/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.27
2024-12-13 16:59:40,313 - INFO - Epoch:[67/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 3.20
2024-12-13 16:59:41,625 - INFO - now the learning rate is: 0.00045701465908224906
2024-12-13 16:59:41,887 - INFO - begin training stage: [68/350]
2024-12-13 16:59:43,546 - INFO - Epoch:[68/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.32
2024-12-13 16:59:45,108 - INFO - Epoch:[68/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.16
2024-12-13 16:59:46,615 - INFO - Epoch:[68/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.15
2024-12-13 16:59:48,129 - INFO - Epoch:[68/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.19
2024-12-13 16:59:49,635 - INFO - Epoch:[68/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.24
2024-12-13 16:59:51,145 - INFO - Epoch:[68/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.23
2024-12-13 16:59:52,648 - INFO - Epoch:[68/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.22
2024-12-13 16:59:53,867 - INFO - now the learning rate is: 0.0004557623014763839
2024-12-13 16:59:54,163 - INFO - begin training stage: [69/350]
2024-12-13 16:59:55,817 - INFO - Epoch:[69/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.39 contra_loss_cluster: 3.19
2024-12-13 16:59:57,378 - INFO - Epoch:[69/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.22
2024-12-13 16:59:58,933 - INFO - Epoch:[69/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.42 contra_loss_cluster: 3.20
2024-12-13 17:00:00,490 - INFO - Epoch:[69/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.13
2024-12-13 17:00:02,057 - INFO - Epoch:[69/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.15
2024-12-13 17:00:03,600 - INFO - Epoch:[69/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.23
2024-12-13 17:00:05,114 - INFO - Epoch:[69/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.28
2024-12-13 17:00:06,346 - INFO - now the learning rate is: 0.00045449376892202234
2024-12-13 17:00:06,627 - INFO - begin training stage: [70/350]
2024-12-13 17:00:08,304 - INFO - Epoch:[70/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.26
2024-12-13 17:00:09,838 - INFO - Epoch:[70/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.19
2024-12-13 17:00:11,361 - INFO - Epoch:[70/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.20
2024-12-13 17:00:12,916 - INFO - Epoch:[70/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 3.13
2024-12-13 17:00:14,421 - INFO - Epoch:[70/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.18
2024-12-13 17:00:15,996 - INFO - Epoch:[70/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.17
2024-12-13 17:00:17,571 - INFO - Epoch:[70/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.16
2024-12-13 17:00:18,822 - INFO - now the learning rate is: 0.00045320916362186176
2024-12-13 17:00:19,079 - INFO - begin training stage: [71/350]
2024-12-13 17:00:20,789 - INFO - Epoch:[71/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.18
2024-12-13 17:00:22,293 - INFO - Epoch:[71/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 3.11
2024-12-13 17:00:23,849 - INFO - Epoch:[71/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.13
2024-12-13 17:00:25,382 - INFO - Epoch:[71/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.08
2024-12-13 17:00:26,935 - INFO - Epoch:[71/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.15
2024-12-13 17:00:28,546 - INFO - Epoch:[71/350] Step:[60/76] reconstruction_loss: 0.23 contra_loss: 3.36 contra_loss_cluster: 3.13
2024-12-13 17:00:30,054 - INFO - Epoch:[71/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.18
2024-12-13 17:00:31,422 - INFO - now the learning rate is: 0.0004519085890735428
2024-12-13 17:00:31,719 - INFO - begin training stage: [72/350]
2024-12-13 17:00:33,417 - INFO - Epoch:[72/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.06
2024-12-13 17:00:34,933 - INFO - Epoch:[72/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.13
2024-12-13 17:00:36,474 - INFO - Epoch:[72/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.15
2024-12-13 17:00:38,045 - INFO - Epoch:[72/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 3.12
2024-12-13 17:00:39,641 - INFO - Epoch:[72/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.12
2024-12-13 17:00:41,223 - INFO - Epoch:[72/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.21
2024-12-13 17:00:42,775 - INFO - Epoch:[72/350] Step:[70/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.16
2024-12-13 17:00:44,030 - INFO - now the learning rate is: 0.00045059215006131145
2024-12-13 17:00:44,329 - INFO - begin training stage: [73/350]
2024-12-13 17:00:46,042 - INFO - Epoch:[73/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 3.21
2024-12-13 17:00:47,598 - INFO - Epoch:[73/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.20
2024-12-13 17:00:49,210 - INFO - Epoch:[73/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.12
2024-12-13 17:00:50,767 - INFO - Epoch:[73/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.10
2024-12-13 17:00:52,300 - INFO - Epoch:[73/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.13
2024-12-13 17:00:53,892 - INFO - Epoch:[73/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.08
2024-12-13 17:00:55,454 - INFO - Epoch:[73/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.10
2024-12-13 17:00:56,750 - INFO - now the learning rate is: 0.00044925995264757603
2024-12-13 17:00:57,072 - INFO - begin training stage: [74/350]
2024-12-13 17:00:58,813 - INFO - Epoch:[74/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.19
2024-12-13 17:01:00,365 - INFO - Epoch:[74/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.16
2024-12-13 17:01:01,924 - INFO - Epoch:[74/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.11
2024-12-13 17:01:03,436 - INFO - Epoch:[74/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 3.10
2024-12-13 17:01:04,966 - INFO - Epoch:[74/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 3.11
2024-12-13 17:01:06,541 - INFO - Epoch:[74/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.06
2024-12-13 17:01:08,148 - INFO - Epoch:[74/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.13
2024-12-13 17:01:09,399 - INFO - now the learning rate is: 0.00044791210416436254
2024-12-13 17:01:09,683 - INFO - begin training stage: [75/350]
2024-12-13 17:01:11,466 - INFO - Epoch:[75/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 3.13
2024-12-13 17:01:12,998 - INFO - Epoch:[75/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.13
2024-12-13 17:01:14,503 - INFO - Epoch:[75/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.17
2024-12-13 17:01:16,119 - INFO - Epoch:[75/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.15
2024-12-13 17:01:17,761 - INFO - Epoch:[75/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.03
2024-12-13 17:01:19,334 - INFO - Epoch:[75/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.13
2024-12-13 17:01:20,820 - INFO - Epoch:[75/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.02
2024-12-13 17:01:22,039 - INFO - now the learning rate is: 0.0004465487132046669
2024-12-13 17:01:22,339 - INFO - begin training stage: [76/350]
2024-12-13 17:01:24,124 - INFO - Epoch:[76/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.10
2024-12-13 17:01:25,660 - INFO - Epoch:[76/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 3.06
2024-12-13 17:01:27,216 - INFO - Epoch:[76/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.12
2024-12-13 17:01:28,788 - INFO - Epoch:[76/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.08
2024-12-13 17:01:30,327 - INFO - Epoch:[76/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.04
2024-12-13 17:01:31,808 - INFO - Epoch:[76/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.08
2024-12-13 17:01:33,362 - INFO - Epoch:[76/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 3.03
2024-12-13 17:01:34,624 - INFO - now the learning rate is: 0.0004451698896137061
2024-12-13 17:01:34,912 - INFO - begin training stage: [77/350]
2024-12-13 17:01:36,644 - INFO - Epoch:[77/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.12
2024-12-13 17:01:38,170 - INFO - Epoch:[77/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 2.97
2024-12-13 17:01:39,688 - INFO - Epoch:[77/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.08
2024-12-13 17:01:41,301 - INFO - Epoch:[77/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.13
2024-12-13 17:01:42,887 - INFO - Epoch:[77/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.97
2024-12-13 17:01:44,425 - INFO - Epoch:[77/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.06
2024-12-13 17:01:46,039 - INFO - Epoch:[77/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.01
2024-12-13 17:01:47,376 - INFO - now the learning rate is: 0.00044377574448006797
2024-12-13 17:01:47,657 - INFO - begin training stage: [78/350]
2024-12-13 17:01:49,437 - INFO - Epoch:[78/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.39 contra_loss_cluster: 3.04
2024-12-13 17:01:50,975 - INFO - Epoch:[78/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.10
2024-12-13 17:01:52,544 - INFO - Epoch:[78/350] Step:[30/76] reconstruction_loss: 0.23 contra_loss: 3.37 contra_loss_cluster: 2.97
2024-12-13 17:01:54,108 - INFO - Epoch:[78/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.00
2024-12-13 17:01:55,650 - INFO - Epoch:[78/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 3.02
2024-12-13 17:01:57,121 - INFO - Epoch:[78/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.08
2024-12-13 17:01:58,624 - INFO - Epoch:[78/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 3.04
2024-12-13 17:01:59,869 - INFO - now the learning rate is: 0.0004423663901267612
2024-12-13 17:02:00,128 - INFO - begin training stage: [79/350]
2024-12-13 17:02:01,826 - INFO - Epoch:[79/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.03
2024-12-13 17:02:03,369 - INFO - Epoch:[79/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 3.07
2024-12-13 17:02:04,922 - INFO - Epoch:[79/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 3.03
2024-12-13 17:02:06,465 - INFO - Epoch:[79/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 2.98
2024-12-13 17:02:08,009 - INFO - Epoch:[79/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.02
2024-12-13 17:02:09,527 - INFO - Epoch:[79/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.06
2024-12-13 17:02:11,130 - INFO - Epoch:[79/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.39 contra_loss_cluster: 3.03
2024-12-13 17:02:12,465 - INFO - now the learning rate is: 0.0004409419401021657
2024-12-13 17:02:12,752 - INFO - begin training stage: [80/350]
2024-12-13 17:02:14,457 - INFO - Epoch:[80/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.10
2024-12-13 17:02:16,050 - INFO - Epoch:[80/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.94
2024-12-13 17:02:17,598 - INFO - Epoch:[80/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.39 contra_loss_cluster: 3.06
2024-12-13 17:02:19,157 - INFO - Epoch:[80/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.05
2024-12-13 17:02:20,732 - INFO - Epoch:[80/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.96
2024-12-13 17:02:22,378 - INFO - Epoch:[80/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.97
2024-12-13 17:02:23,938 - INFO - Epoch:[80/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.01
2024-12-13 17:02:25,167 - INFO - now the learning rate is: 0.0004395025091708843
2024-12-13 17:02:25,465 - INFO - eval data number: 3758
2024-12-13 17:02:27,171 - INFO - loading query data ......
2024-12-13 17:02:28,073 - INFO - retrieval costs: 2.6050195693969727
2024-12-13 17:02:28,216 - INFO - hamming distance computation costs: 0.14322566986083984
2024-12-13 17:02:28,378 - INFO - hamming ranking costs: 0.16201996803283691
2024-12-13 17:02:28,378 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 17:02:28,962 - INFO - similarity labels generation costs: 0.5843081474304199
2024-12-13 17:02:28,979 - INFO - topK: 5:, map: 0.24523333333333336
2024-12-13 17:02:29,041 - INFO - topK: 20:, map: 0.13915122790865825
2024-12-13 17:02:29,157 - INFO - topK: 40:, map: 0.08721636766462075
2024-12-13 17:02:29,328 - INFO - topK: 60:, map: 0.06332537146315184
2024-12-13 17:02:29,552 - INFO - topK: 80:, map: 0.0496211156160397
2024-12-13 17:02:29,843 - INFO - topK: 100:, map: 0.04062364033022181
2024-12-13 17:02:29,951 - INFO - begin training stage: [81/350]
2024-12-13 17:02:31,663 - INFO - Epoch:[81/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.03
2024-12-13 17:02:33,158 - INFO - Epoch:[81/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.06
2024-12-13 17:02:34,710 - INFO - Epoch:[81/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 2.97
2024-12-13 17:02:36,237 - INFO - Epoch:[81/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.95
2024-12-13 17:02:37,793 - INFO - Epoch:[81/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.95
2024-12-13 17:02:39,353 - INFO - Epoch:[81/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.10
2024-12-13 17:02:40,866 - INFO - Epoch:[81/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 2.96
2024-12-13 17:02:42,165 - INFO - now the learning rate is: 0.00043804821330449626
2024-12-13 17:02:42,455 - INFO - begin training stage: [82/350]
2024-12-13 17:02:44,160 - INFO - Epoch:[82/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 3.05
2024-12-13 17:02:45,736 - INFO - Epoch:[82/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.02
2024-12-13 17:02:47,269 - INFO - Epoch:[82/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.02
2024-12-13 17:02:48,809 - INFO - Epoch:[82/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 3.04
2024-12-13 17:02:50,369 - INFO - Epoch:[82/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.00
2024-12-13 17:02:51,916 - INFO - Epoch:[82/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 3.03
2024-12-13 17:02:53,505 - INFO - Epoch:[82/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.97
2024-12-13 17:02:54,871 - INFO - now the learning rate is: 0.00043657916967221403
2024-12-13 17:02:55,164 - INFO - begin training stage: [83/350]
2024-12-13 17:02:56,849 - INFO - Epoch:[83/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.84
2024-12-13 17:02:58,398 - INFO - Epoch:[83/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.96
2024-12-13 17:02:59,921 - INFO - Epoch:[83/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.96
2024-12-13 17:03:01,455 - INFO - Epoch:[83/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 3.02
2024-12-13 17:03:03,021 - INFO - Epoch:[83/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.97
2024-12-13 17:03:04,528 - INFO - Epoch:[83/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.99
2024-12-13 17:03:06,079 - INFO - Epoch:[83/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.40 contra_loss_cluster: 3.04
2024-12-13 17:03:07,322 - INFO - now the learning rate is: 0.0004350954966314429
2024-12-13 17:03:07,603 - INFO - begin training stage: [84/350]
2024-12-13 17:03:09,396 - INFO - Epoch:[84/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.99
2024-12-13 17:03:10,925 - INFO - Epoch:[84/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 3.05
2024-12-13 17:03:12,441 - INFO - Epoch:[84/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.88
2024-12-13 17:03:13,976 - INFO - Epoch:[84/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 3.03
2024-12-13 17:03:15,540 - INFO - Epoch:[84/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.86
2024-12-13 17:03:17,092 - INFO - Epoch:[84/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.87
2024-12-13 17:03:18,633 - INFO - Epoch:[84/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.92
2024-12-13 17:03:19,876 - INFO - now the learning rate is: 0.0004335973137182454
2024-12-13 17:03:20,169 - INFO - begin training stage: [85/350]
2024-12-13 17:03:21,843 - INFO - Epoch:[85/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.97
2024-12-13 17:03:23,408 - INFO - Epoch:[85/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.97
2024-12-13 17:03:24,983 - INFO - Epoch:[85/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.88
2024-12-13 17:03:26,582 - INFO - Epoch:[85/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.80
2024-12-13 17:03:28,150 - INFO - Epoch:[85/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 3.00
2024-12-13 17:03:29,734 - INFO - Epoch:[85/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.94
2024-12-13 17:03:31,353 - INFO - Epoch:[85/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 2.95
2024-12-13 17:03:32,637 - INFO - now the learning rate is: 0.0004320847416377105
2024-12-13 17:03:32,923 - INFO - begin training stage: [86/350]
2024-12-13 17:03:34,580 - INFO - Epoch:[86/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.93
2024-12-13 17:03:36,142 - INFO - Epoch:[86/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.83
2024-12-13 17:03:37,724 - INFO - Epoch:[86/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.97
2024-12-13 17:03:39,247 - INFO - Epoch:[86/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.88
2024-12-13 17:03:40,816 - INFO - Epoch:[86/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.88
2024-12-13 17:03:42,409 - INFO - Epoch:[86/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.90
2024-12-13 17:03:43,938 - INFO - Epoch:[86/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.85
2024-12-13 17:03:45,223 - INFO - now the learning rate is: 0.0004305579022542287
2024-12-13 17:03:45,515 - INFO - begin training stage: [87/350]
2024-12-13 17:03:47,200 - INFO - Epoch:[87/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.90
2024-12-13 17:03:48,737 - INFO - Epoch:[87/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.34 contra_loss_cluster: 2.91
2024-12-13 17:03:50,281 - INFO - Epoch:[87/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.82
2024-12-13 17:03:51,840 - INFO - Epoch:[87/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.94
2024-12-13 17:03:53,379 - INFO - Epoch:[87/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.97
2024-12-13 17:03:54,906 - INFO - Epoch:[87/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.86
2024-12-13 17:03:56,451 - INFO - Epoch:[87/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.83
2024-12-13 17:03:57,732 - INFO - now the learning rate is: 0.00042901691858167356
2024-12-13 17:03:58,062 - INFO - begin training stage: [88/350]
2024-12-13 17:03:59,760 - INFO - Epoch:[88/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.90
2024-12-13 17:04:01,339 - INFO - Epoch:[88/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.83
2024-12-13 17:04:02,900 - INFO - Epoch:[88/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.95
2024-12-13 17:04:04,465 - INFO - Epoch:[88/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.88
2024-12-13 17:04:06,049 - INFO - Epoch:[88/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.92
2024-12-13 17:04:07,557 - INFO - Epoch:[88/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.91
2024-12-13 17:04:09,090 - INFO - Epoch:[88/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.87
2024-12-13 17:04:10,346 - INFO - now the learning rate is: 0.00042746191477349113
2024-12-13 17:04:10,626 - INFO - begin training stage: [89/350]
2024-12-13 17:04:12,415 - INFO - Epoch:[89/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.92
2024-12-13 17:04:13,980 - INFO - Epoch:[89/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.84
2024-12-13 17:04:15,501 - INFO - Epoch:[89/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.98
2024-12-13 17:04:17,068 - INFO - Epoch:[89/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.88
2024-12-13 17:04:18,590 - INFO - Epoch:[89/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.84
2024-12-13 17:04:20,089 - INFO - Epoch:[89/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.85
2024-12-13 17:04:21,607 - INFO - Epoch:[89/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.86
2024-12-13 17:04:22,826 - INFO - now the learning rate is: 0.0004258930161126967
2024-12-13 17:04:23,127 - INFO - begin training stage: [90/350]
2024-12-13 17:04:24,876 - INFO - Epoch:[90/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.86
2024-12-13 17:04:26,377 - INFO - Epoch:[90/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.87
2024-12-13 17:04:27,860 - INFO - Epoch:[90/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.89
2024-12-13 17:04:29,417 - INFO - Epoch:[90/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.96
2024-12-13 17:04:30,886 - INFO - Epoch:[90/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.91
2024-12-13 17:04:32,399 - INFO - Epoch:[90/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.39 contra_loss_cluster: 2.93
2024-12-13 17:04:33,928 - INFO - Epoch:[90/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.81
2024-12-13 17:04:35,188 - INFO - now the learning rate is: 0.0004243103490017815
2024-12-13 17:04:35,459 - INFO - begin training stage: [91/350]
2024-12-13 17:04:37,217 - INFO - Epoch:[91/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.83
2024-12-13 17:04:38,800 - INFO - Epoch:[91/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.82
2024-12-13 17:04:40,293 - INFO - Epoch:[91/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.79
2024-12-13 17:04:41,828 - INFO - Epoch:[91/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.88
2024-12-13 17:04:43,505 - INFO - Epoch:[91/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.86
2024-12-13 17:04:45,027 - INFO - Epoch:[91/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.39 contra_loss_cluster: 2.88
2024-12-13 17:04:46,544 - INFO - Epoch:[91/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.72
2024-12-13 17:04:47,777 - INFO - now the learning rate is: 0.00042271404095252835
2024-12-13 17:04:48,035 - INFO - begin training stage: [92/350]
2024-12-13 17:04:49,807 - INFO - Epoch:[92/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.84
2024-12-13 17:04:51,356 - INFO - Epoch:[92/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.85
2024-12-13 17:04:52,888 - INFO - Epoch:[92/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.89
2024-12-13 17:04:54,360 - INFO - Epoch:[92/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.79
2024-12-13 17:04:55,892 - INFO - Epoch:[92/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.86
2024-12-13 17:04:57,363 - INFO - Epoch:[92/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.75
2024-12-13 17:04:58,875 - INFO - Epoch:[92/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.85
2024-12-13 17:05:00,152 - INFO - now the learning rate is: 0.00042110422057573877
2024-12-13 17:05:00,433 - INFO - begin training stage: [93/350]
2024-12-13 17:05:02,097 - INFO - Epoch:[93/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.85
2024-12-13 17:05:03,676 - INFO - Epoch:[93/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.80
2024-12-13 17:05:05,251 - INFO - Epoch:[93/350] Step:[30/76] reconstruction_loss: 0.20 contra_loss: 3.36 contra_loss_cluster: 2.87
2024-12-13 17:05:06,819 - INFO - Epoch:[93/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.85
2024-12-13 17:05:08,388 - INFO - Epoch:[93/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.79
2024-12-13 17:05:09,944 - INFO - Epoch:[93/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.74
2024-12-13 17:05:11,538 - INFO - Epoch:[93/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.80
2024-12-13 17:05:12,800 - INFO - now the learning rate is: 0.0004194810175708707
2024-12-13 17:05:13,080 - INFO - begin training stage: [94/350]
2024-12-13 17:05:14,798 - INFO - Epoch:[94/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.86
2024-12-13 17:05:16,395 - INFO - Epoch:[94/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.89
2024-12-13 17:05:17,952 - INFO - Epoch:[94/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 2.86
2024-12-13 17:05:19,501 - INFO - Epoch:[94/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.86
2024-12-13 17:05:21,056 - INFO - Epoch:[94/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.74
2024-12-13 17:05:22,584 - INFO - Epoch:[94/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.83
2024-12-13 17:05:24,082 - INFO - Epoch:[94/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 2.69
2024-12-13 17:05:25,386 - INFO - now the learning rate is: 0.000417844562715589
2024-12-13 17:05:25,644 - INFO - begin training stage: [95/350]
2024-12-13 17:05:27,392 - INFO - Epoch:[95/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.70
2024-12-13 17:05:28,895 - INFO - Epoch:[95/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.33 contra_loss_cluster: 2.81
2024-12-13 17:05:30,419 - INFO - Epoch:[95/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.75
2024-12-13 17:05:31,953 - INFO - Epoch:[95/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.83
2024-12-13 17:05:33,509 - INFO - Epoch:[95/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.74
2024-12-13 17:05:35,064 - INFO - Epoch:[95/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.82
2024-12-13 17:05:36,630 - INFO - Epoch:[95/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 2.64
2024-12-13 17:05:37,918 - INFO - now the learning rate is: 0.00041619498785522925
2024-12-13 17:05:38,203 - INFO - begin training stage: [96/350]
2024-12-13 17:05:39,860 - INFO - Epoch:[96/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.83
2024-12-13 17:05:41,354 - INFO - Epoch:[96/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.74
2024-12-13 17:05:42,852 - INFO - Epoch:[96/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.83
2024-12-13 17:05:44,443 - INFO - Epoch:[96/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.79
2024-12-13 17:05:45,977 - INFO - Epoch:[96/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.80
2024-12-13 17:05:47,529 - INFO - Epoch:[96/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.74
2024-12-13 17:05:49,093 - INFO - Epoch:[96/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.73
2024-12-13 17:05:50,346 - INFO - now the learning rate is: 0.0004145324258921752
2024-12-13 17:05:50,606 - INFO - begin training stage: [97/350]
2024-12-13 17:05:52,368 - INFO - Epoch:[97/350] Step:[10/76] reconstruction_loss: 0.23 contra_loss: 3.38 contra_loss_cluster: 2.73
2024-12-13 17:05:53,951 - INFO - Epoch:[97/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.83
2024-12-13 17:05:55,538 - INFO - Epoch:[97/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.76
2024-12-13 17:05:57,112 - INFO - Epoch:[97/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.74
2024-12-13 17:05:58,612 - INFO - Epoch:[97/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.88
2024-12-13 17:06:00,172 - INFO - Epoch:[97/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.74
2024-12-13 17:06:01,753 - INFO - Epoch:[97/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.82
2024-12-13 17:06:02,995 - INFO - now the learning rate is: 0.0004128570107751508
2024-12-13 17:06:03,245 - INFO - begin training stage: [98/350]
2024-12-13 17:06:04,896 - INFO - Epoch:[98/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.68
2024-12-13 17:06:06,471 - INFO - Epoch:[98/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.79
2024-12-13 17:06:07,980 - INFO - Epoch:[98/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.71
2024-12-13 17:06:09,487 - INFO - Epoch:[98/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.70
2024-12-13 17:06:11,012 - INFO - Epoch:[98/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.70
2024-12-13 17:06:12,586 - INFO - Epoch:[98/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.78
2024-12-13 17:06:14,149 - INFO - Epoch:[98/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.73
2024-12-13 17:06:15,410 - INFO - now the learning rate is: 0.0004111688774884287
2024-12-13 17:06:15,687 - INFO - begin training stage: [99/350]
2024-12-13 17:06:17,403 - INFO - Epoch:[99/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.83
2024-12-13 17:06:18,969 - INFO - Epoch:[99/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.72
2024-12-13 17:06:20,564 - INFO - Epoch:[99/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.65
2024-12-13 17:06:22,135 - INFO - Epoch:[99/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.74
2024-12-13 17:06:23,737 - INFO - Epoch:[99/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.71
2024-12-13 17:06:25,281 - INFO - Epoch:[99/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.67
2024-12-13 17:06:26,861 - INFO - Epoch:[99/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.66
2024-12-13 17:06:28,182 - INFO - now the learning rate is: 0.00040946816204095456
2024-12-13 17:06:28,463 - INFO - begin training stage: [100/350]
2024-12-13 17:06:30,217 - INFO - Epoch:[100/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.76
2024-12-13 17:06:31,741 - INFO - Epoch:[100/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.70
2024-12-13 17:06:33,264 - INFO - Epoch:[100/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.67
2024-12-13 17:06:34,801 - INFO - Epoch:[100/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.65
2024-12-13 17:06:36,368 - INFO - Epoch:[100/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.72
2024-12-13 17:06:37,918 - INFO - Epoch:[100/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.66
2024-12-13 17:06:39,457 - INFO - Epoch:[100/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.70
2024-12-13 17:06:40,707 - INFO - now the learning rate is: 0.00040775500145538945
2024-12-13 17:06:40,960 - INFO - eval data number: 3758
2024-12-13 17:06:42,532 - INFO - loading query data ......
2024-12-13 17:06:43,341 - INFO - retrieval costs: 2.380303144454956
2024-12-13 17:06:43,434 - INFO - hamming distance computation costs: 0.09299325942993164
2024-12-13 17:06:43,555 - INFO - hamming ranking costs: 0.12035155296325684
2024-12-13 17:06:43,555 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 17:06:44,119 - INFO - similarity labels generation costs: 0.5640013217926025
2024-12-13 17:06:44,136 - INFO - topK: 5:, map: 0.24824000000000002
2024-12-13 17:06:44,192 - INFO - topK: 20:, map: 0.1415592522722805
2024-12-13 17:06:44,300 - INFO - topK: 40:, map: 0.09013269732695178
2024-12-13 17:06:44,464 - INFO - topK: 60:, map: 0.06500744732314893
2024-12-13 17:06:44,682 - INFO - topK: 80:, map: 0.05075284551227357
2024-12-13 17:06:44,954 - INFO - topK: 100:, map: 0.04144011617150153
2024-12-13 17:06:45,058 - INFO - begin training stage: [101/350]
2024-12-13 17:06:46,664 - INFO - Epoch:[101/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.74
2024-12-13 17:06:48,131 - INFO - Epoch:[101/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.78
2024-12-13 17:06:49,688 - INFO - Epoch:[101/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.65
2024-12-13 17:06:51,204 - INFO - Epoch:[101/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.74
2024-12-13 17:06:52,681 - INFO - Epoch:[101/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.70
2024-12-13 17:06:54,176 - INFO - Epoch:[101/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.83
2024-12-13 17:06:55,720 - INFO - Epoch:[101/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.64
2024-12-13 17:06:56,946 - INFO - now the learning rate is: 0.00040602953375706987
2024-12-13 17:06:57,204 - INFO - begin training stage: [102/350]
2024-12-13 17:06:58,905 - INFO - Epoch:[102/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.67
2024-12-13 17:07:00,408 - INFO - Epoch:[102/350] Step:[20/76] reconstruction_loss: 0.23 contra_loss: 3.36 contra_loss_cluster: 2.62
2024-12-13 17:07:01,919 - INFO - Epoch:[102/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.80
2024-12-13 17:07:03,445 - INFO - Epoch:[102/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.69
2024-12-13 17:07:04,973 - INFO - Epoch:[102/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.64
2024-12-13 17:07:06,509 - INFO - Epoch:[102/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 2.65
2024-12-13 17:07:08,082 - INFO - Epoch:[102/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.65
2024-12-13 17:07:09,314 - INFO - now the learning rate is: 0.0004042918979628878
2024-12-13 17:07:09,563 - INFO - begin training stage: [103/350]
2024-12-13 17:07:11,260 - INFO - Epoch:[103/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.71
2024-12-13 17:07:12,782 - INFO - Epoch:[103/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.74
2024-12-13 17:07:14,327 - INFO - Epoch:[103/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.59
2024-12-13 17:07:15,861 - INFO - Epoch:[103/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.63
2024-12-13 17:07:17,389 - INFO - Epoch:[103/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.60
2024-12-13 17:07:18,904 - INFO - Epoch:[103/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.75
2024-12-13 17:07:20,443 - INFO - Epoch:[103/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.66
2024-12-13 17:07:21,708 - INFO - now the learning rate is: 0.00040254223407008995
2024-12-13 17:07:21,967 - INFO - begin training stage: [104/350]
2024-12-13 17:07:23,642 - INFO - Epoch:[104/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.58
2024-12-13 17:07:25,209 - INFO - Epoch:[104/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.74
2024-12-13 17:07:26,788 - INFO - Epoch:[104/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.74
2024-12-13 17:07:28,306 - INFO - Epoch:[104/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.60
2024-12-13 17:07:29,820 - INFO - Epoch:[104/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.61
2024-12-13 17:07:31,331 - INFO - Epoch:[104/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.69
2024-12-13 17:07:32,907 - INFO - Epoch:[104/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.56
2024-12-13 17:07:34,122 - INFO - now the learning rate is: 0.0004007806830449989
2024-12-13 17:07:34,411 - INFO - begin training stage: [105/350]
2024-12-13 17:07:36,124 - INFO - Epoch:[105/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.76
2024-12-13 17:07:37,646 - INFO - Epoch:[105/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 2.58
2024-12-13 17:07:39,174 - INFO - Epoch:[105/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.62
2024-12-13 17:07:40,682 - INFO - Epoch:[105/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.56
2024-12-13 17:07:42,234 - INFO - Epoch:[105/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.74
2024-12-13 17:07:43,806 - INFO - Epoch:[105/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.59
2024-12-13 17:07:45,326 - INFO - Epoch:[105/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.62
2024-12-13 17:07:46,590 - INFO - now the learning rate is: 0.00039900738681165573
2024-12-13 17:07:46,908 - INFO - begin training stage: [106/350]
2024-12-13 17:07:48,618 - INFO - Epoch:[106/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.60
2024-12-13 17:07:50,171 - INFO - Epoch:[106/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.51
2024-12-13 17:07:51,690 - INFO - Epoch:[106/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.58
2024-12-13 17:07:53,218 - INFO - Epoch:[106/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.58
2024-12-13 17:07:54,734 - INFO - Epoch:[106/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.60
2024-12-13 17:07:56,288 - INFO - Epoch:[106/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.71
2024-12-13 17:07:57,797 - INFO - Epoch:[106/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.51
2024-12-13 17:07:59,010 - INFO - now the learning rate is: 0.00039722248824038527
2024-12-13 17:07:59,287 - INFO - begin training stage: [107/350]
2024-12-13 17:08:01,000 - INFO - Epoch:[107/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.67
2024-12-13 17:08:02,533 - INFO - Epoch:[107/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.66
2024-12-13 17:08:04,049 - INFO - Epoch:[107/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.62
2024-12-13 17:08:05,566 - INFO - Epoch:[107/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.70
2024-12-13 17:08:07,155 - INFO - Epoch:[107/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.65
2024-12-13 17:08:08,732 - INFO - Epoch:[107/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.70
2024-12-13 17:08:10,259 - INFO - Epoch:[107/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.51
2024-12-13 17:08:11,517 - INFO - now the learning rate is: 0.00039542613113628574
2024-12-13 17:08:11,817 - INFO - begin training stage: [108/350]
2024-12-13 17:08:13,523 - INFO - Epoch:[108/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.53
2024-12-13 17:08:15,080 - INFO - Epoch:[108/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 2.55
2024-12-13 17:08:16,656 - INFO - Epoch:[108/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.55
2024-12-13 17:08:18,201 - INFO - Epoch:[108/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.64
2024-12-13 17:08:19,742 - INFO - Epoch:[108/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.58
2024-12-13 17:08:21,293 - INFO - Epoch:[108/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.58
2024-12-13 17:08:22,818 - INFO - Epoch:[108/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.43
2024-12-13 17:08:24,097 - INFO - now the learning rate is: 0.00039361846022764233
2024-12-13 17:08:24,521 - INFO - begin training stage: [109/350]
2024-12-13 17:08:26,281 - INFO - Epoch:[109/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.54
2024-12-13 17:08:27,833 - INFO - Epoch:[109/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.53
2024-12-13 17:08:29,363 - INFO - Epoch:[109/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.57
2024-12-13 17:08:30,897 - INFO - Epoch:[109/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.49
2024-12-13 17:08:32,499 - INFO - Epoch:[109/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.62
2024-12-13 17:08:34,071 - INFO - Epoch:[109/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.69
2024-12-13 17:08:35,648 - INFO - Epoch:[109/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.57
2024-12-13 17:08:36,902 - INFO - now the learning rate is: 0.0003917996211542671
2024-12-13 17:08:37,191 - INFO - begin training stage: [110/350]
2024-12-13 17:08:38,900 - INFO - Epoch:[110/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.54
2024-12-13 17:08:40,449 - INFO - Epoch:[110/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.57
2024-12-13 17:08:42,011 - INFO - Epoch:[110/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.58
2024-12-13 17:08:43,574 - INFO - Epoch:[110/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.53
2024-12-13 17:08:45,128 - INFO - Epoch:[110/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.50
2024-12-13 17:08:46,643 - INFO - Epoch:[110/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.60
2024-12-13 17:08:48,191 - INFO - Epoch:[110/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.59
2024-12-13 17:08:49,441 - INFO - now the learning rate is: 0.0003899697604557649
2024-12-13 17:08:49,695 - INFO - begin training stage: [111/350]
2024-12-13 17:08:51,365 - INFO - Epoch:[111/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.59
2024-12-13 17:08:52,889 - INFO - Epoch:[111/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.46
2024-12-13 17:08:54,433 - INFO - Epoch:[111/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.65
2024-12-13 17:08:55,907 - INFO - Epoch:[111/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.48
2024-12-13 17:08:57,453 - INFO - Epoch:[111/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.58
2024-12-13 17:08:59,048 - INFO - Epoch:[111/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.59
2024-12-13 17:09:00,625 - INFO - Epoch:[111/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.61
2024-12-13 17:09:01,821 - INFO - now the learning rate is: 0.0003881290255597272
2024-12-13 17:09:02,082 - INFO - begin training stage: [112/350]
2024-12-13 17:09:03,753 - INFO - Epoch:[112/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.62
2024-12-13 17:09:05,293 - INFO - Epoch:[112/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.63
2024-12-13 17:09:06,829 - INFO - Epoch:[112/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.58
2024-12-13 17:09:08,329 - INFO - Epoch:[112/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.50
2024-12-13 17:09:09,895 - INFO - Epoch:[112/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.53
2024-12-13 17:09:11,487 - INFO - Epoch:[112/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.51
2024-12-13 17:09:13,066 - INFO - Epoch:[112/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.58
2024-12-13 17:09:14,298 - INFO - now the learning rate is: 0.000386277564769854
2024-12-13 17:09:14,575 - INFO - begin training stage: [113/350]
2024-12-13 17:09:16,298 - INFO - Epoch:[113/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.67
2024-12-13 17:09:17,862 - INFO - Epoch:[113/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.44
2024-12-13 17:09:19,425 - INFO - Epoch:[113/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.63
2024-12-13 17:09:20,930 - INFO - Epoch:[113/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.58
2024-12-13 17:09:22,504 - INFO - Epoch:[113/350] Step:[50/76] reconstruction_loss: 0.20 contra_loss: 3.35 contra_loss_cluster: 2.36
2024-12-13 17:09:24,044 - INFO - Epoch:[113/350] Step:[60/76] reconstruction_loss: 0.20 contra_loss: 3.35 contra_loss_cluster: 2.44
2024-12-13 17:09:25,568 - INFO - Epoch:[113/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.51
2024-12-13 17:09:26,848 - INFO - now the learning rate is: 0.0003844155272540056
2024-12-13 17:09:27,131 - INFO - begin training stage: [114/350]
2024-12-13 17:09:28,816 - INFO - Epoch:[114/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.63
2024-12-13 17:09:30,302 - INFO - Epoch:[114/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.38
2024-12-13 17:09:31,797 - INFO - Epoch:[114/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.64
2024-12-13 17:09:33,292 - INFO - Epoch:[114/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.54
2024-12-13 17:09:34,810 - INFO - Epoch:[114/350] Step:[50/76] reconstruction_loss: 0.20 contra_loss: 3.36 contra_loss_cluster: 2.58
2024-12-13 17:09:36,315 - INFO - Epoch:[114/350] Step:[60/76] reconstruction_loss: 0.20 contra_loss: 3.35 contra_loss_cluster: 2.47
2024-12-13 17:09:37,927 - INFO - Epoch:[114/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.50
2024-12-13 17:09:39,179 - INFO - now the learning rate is: 0.00038254306303218396
2024-12-13 17:09:39,471 - INFO - begin training stage: [115/350]
2024-12-13 17:09:41,189 - INFO - Epoch:[115/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.58
2024-12-13 17:09:42,748 - INFO - Epoch:[115/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.51
2024-12-13 17:09:44,248 - INFO - Epoch:[115/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.44
2024-12-13 17:09:45,739 - INFO - Epoch:[115/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.54
2024-12-13 17:09:47,240 - INFO - Epoch:[115/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.47
2024-12-13 17:09:48,840 - INFO - Epoch:[115/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.49
2024-12-13 17:09:50,342 - INFO - Epoch:[115/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.47
2024-12-13 17:09:51,598 - INFO - now the learning rate is: 0.00038066032296444686
2024-12-13 17:09:51,872 - INFO - begin training stage: [116/350]
2024-12-13 17:09:53,481 - INFO - Epoch:[116/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.52
2024-12-13 17:09:55,059 - INFO - Epoch:[116/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.46
2024-12-13 17:09:56,631 - INFO - Epoch:[116/350] Step:[30/76] reconstruction_loss: 0.20 contra_loss: 3.35 contra_loss_cluster: 2.66
2024-12-13 17:09:58,177 - INFO - Epoch:[116/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.53
2024-12-13 17:09:59,749 - INFO - Epoch:[116/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.50
2024-12-13 17:10:01,324 - INFO - Epoch:[116/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.56
2024-12-13 17:10:02,895 - INFO - Epoch:[116/350] Step:[70/76] reconstruction_loss: 0.20 contra_loss: 3.34 contra_loss_cluster: 2.48
2024-12-13 17:10:04,117 - INFO - now the learning rate is: 0.00037876745873875257
2024-12-13 17:10:04,407 - INFO - begin training stage: [117/350]
2024-12-13 17:10:06,096 - INFO - Epoch:[117/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.50
2024-12-13 17:10:07,656 - INFO - Epoch:[117/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.61
2024-12-13 17:10:09,198 - INFO - Epoch:[117/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.48
2024-12-13 17:10:10,752 - INFO - Epoch:[117/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.54
2024-12-13 17:10:12,345 - INFO - Epoch:[117/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.49
2024-12-13 17:10:13,936 - INFO - Epoch:[117/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.56
2024-12-13 17:10:15,492 - INFO - Epoch:[117/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.45
2024-12-13 17:10:16,738 - INFO - now the learning rate is: 0.0003768646228587392
2024-12-13 17:10:17,055 - INFO - begin training stage: [118/350]
2024-12-13 17:10:18,774 - INFO - Epoch:[118/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.52
2024-12-13 17:10:20,382 - INFO - Epoch:[118/350] Step:[20/76] reconstruction_loss: 0.20 contra_loss: 3.34 contra_loss_cluster: 2.58
2024-12-13 17:10:21,953 - INFO - Epoch:[118/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.38 contra_loss_cluster: 2.43
2024-12-13 17:10:23,450 - INFO - Epoch:[118/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.51
2024-12-13 17:10:25,036 - INFO - Epoch:[118/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.36
2024-12-13 17:10:26,607 - INFO - Epoch:[118/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.38 contra_loss_cluster: 2.48
2024-12-13 17:10:28,121 - INFO - Epoch:[118/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.55
2024-12-13 17:10:29,410 - INFO - now the learning rate is: 0.0003749519686314377
2024-12-13 17:10:29,697 - INFO - begin training stage: [119/350]
2024-12-13 17:10:31,406 - INFO - Epoch:[119/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.60
2024-12-13 17:10:32,970 - INFO - Epoch:[119/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.48
2024-12-13 17:10:34,502 - INFO - Epoch:[119/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.54
2024-12-13 17:10:36,071 - INFO - Epoch:[119/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.43
2024-12-13 17:10:37,604 - INFO - Epoch:[119/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.49
2024-12-13 17:10:39,175 - INFO - Epoch:[119/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.45
2024-12-13 17:10:40,699 - INFO - Epoch:[119/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.47
2024-12-13 17:10:41,931 - INFO - now the learning rate is: 0.00037302965015492006
2024-12-13 17:10:42,221 - INFO - begin training stage: [120/350]
2024-12-13 17:10:43,869 - INFO - Epoch:[120/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.45
2024-12-13 17:10:45,415 - INFO - Epoch:[120/350] Step:[20/76] reconstruction_loss: 0.20 contra_loss: 3.36 contra_loss_cluster: 2.45
2024-12-13 17:10:46,969 - INFO - Epoch:[120/350] Step:[30/76] reconstruction_loss: 0.22 contra_loss: 3.36 contra_loss_cluster: 2.45
2024-12-13 17:10:48,469 - INFO - Epoch:[120/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.45
2024-12-13 17:10:49,981 - INFO - Epoch:[120/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.54
2024-12-13 17:10:51,534 - INFO - Epoch:[120/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.40
2024-12-13 17:10:53,036 - INFO - Epoch:[120/350] Step:[70/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.41
2024-12-13 17:10:54,243 - INFO - now the learning rate is: 0.0003710978223058845
2024-12-13 17:10:54,520 - INFO - eval data number: 3758
2024-12-13 17:10:56,157 - INFO - loading query data ......
2024-12-13 17:10:57,146 - INFO - retrieval costs: 2.624861001968384
2024-12-13 17:10:57,359 - INFO - hamming distance computation costs: 0.21290993690490723
2024-12-13 17:10:57,470 - INFO - hamming ranking costs: 0.11118340492248535
2024-12-13 17:10:57,470 - INFO - labels shape: (1000, 200) and (3758, 200)
2024-12-13 17:10:57,994 - INFO - similarity labels generation costs: 0.5237331390380859
2024-12-13 17:10:58,010 - INFO - topK: 5:, map: 0.25340666666666667
2024-12-13 17:10:58,068 - INFO - topK: 20:, map: 0.14487929112210457
2024-12-13 17:10:58,179 - INFO - topK: 40:, map: 0.0906101641813222
2024-12-13 17:10:58,345 - INFO - topK: 60:, map: 0.06560096326372568
2024-12-13 17:10:58,568 - INFO - topK: 80:, map: 0.05120449784520166
2024-12-13 17:10:58,848 - INFO - topK: 100:, map: 0.04179401716928569
2024-12-13 17:10:58,955 - INFO - begin training stage: [121/350]
2024-12-13 17:11:00,600 - INFO - Epoch:[121/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.29
2024-12-13 17:11:02,098 - INFO - Epoch:[121/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.45
2024-12-13 17:11:03,632 - INFO - Epoch:[121/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.33
2024-12-13 17:11:05,157 - INFO - Epoch:[121/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.42
2024-12-13 17:11:06,683 - INFO - Epoch:[121/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.48
2024-12-13 17:11:08,201 - INFO - Epoch:[121/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.55
2024-12-13 17:11:09,716 - INFO - Epoch:[121/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.47
2024-12-13 17:11:11,070 - INFO - now the learning rate is: 0.00036915664072717687
2024-12-13 17:11:11,355 - INFO - begin training stage: [122/350]
2024-12-13 17:11:13,009 - INFO - Epoch:[122/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.45
2024-12-13 17:11:14,545 - INFO - Epoch:[122/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.43
2024-12-13 17:11:16,114 - INFO - Epoch:[122/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.41
2024-12-13 17:11:17,637 - INFO - Epoch:[122/350] Step:[40/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.54
2024-12-13 17:11:19,149 - INFO - Epoch:[122/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.41
2024-12-13 17:11:20,682 - INFO - Epoch:[122/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.38
2024-12-13 17:11:22,291 - INFO - Epoch:[122/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.44
2024-12-13 17:11:23,541 - INFO - now the learning rate is: 0.00036720626181525136
2024-12-13 17:11:23,820 - INFO - begin training stage: [123/350]
2024-12-13 17:11:25,464 - INFO - Epoch:[123/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.35
2024-12-13 17:11:26,997 - INFO - Epoch:[123/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.26
2024-12-13 17:11:28,543 - INFO - Epoch:[123/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.37
2024-12-13 17:11:30,108 - INFO - Epoch:[123/350] Step:[40/76] reconstruction_loss: 0.20 contra_loss: 3.35 contra_loss_cluster: 2.29
2024-12-13 17:11:31,660 - INFO - Epoch:[123/350] Step:[50/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.49
2024-12-13 17:11:33,180 - INFO - Epoch:[123/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.36
2024-12-13 17:11:34,730 - INFO - Epoch:[123/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.34
2024-12-13 17:11:35,985 - INFO - now the learning rate is: 0.0003652468427075695
2024-12-13 17:11:36,238 - INFO - begin training stage: [124/350]
2024-12-13 17:11:37,919 - INFO - Epoch:[124/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.49
2024-12-13 17:11:39,470 - INFO - Epoch:[124/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.44
2024-12-13 17:11:41,012 - INFO - Epoch:[124/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.40
2024-12-13 17:11:42,529 - INFO - Epoch:[124/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.40
2024-12-13 17:11:43,996 - INFO - Epoch:[124/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.50
2024-12-13 17:11:45,544 - INFO - Epoch:[124/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.40
2024-12-13 17:11:47,096 - INFO - Epoch:[124/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.39
2024-12-13 17:11:48,314 - INFO - now the learning rate is: 0.0003632785412699404
2024-12-13 17:11:48,591 - INFO - begin training stage: [125/350]
2024-12-13 17:11:50,247 - INFO - Epoch:[125/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.42
2024-12-13 17:11:51,822 - INFO - Epoch:[125/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.33
2024-12-13 17:11:53,361 - INFO - Epoch:[125/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.36
2024-12-13 17:11:54,928 - INFO - Epoch:[125/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.31
2024-12-13 17:11:56,435 - INFO - Epoch:[125/350] Step:[50/76] reconstruction_loss: 0.20 contra_loss: 3.35 contra_loss_cluster: 2.26
2024-12-13 17:11:57,957 - INFO - Epoch:[125/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.32
2024-12-13 17:11:59,514 - INFO - Epoch:[125/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.42
2024-12-13 17:12:00,777 - INFO - now the learning rate is: 0.0003613015160838015
2024-12-13 17:12:01,067 - INFO - begin training stage: [126/350]
2024-12-13 17:12:02,715 - INFO - Epoch:[126/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.36
2024-12-13 17:12:04,239 - INFO - Epoch:[126/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.41
2024-12-13 17:12:05,761 - INFO - Epoch:[126/350] Step:[30/76] reconstruction_loss: 0.20 contra_loss: 3.34 contra_loss_cluster: 2.41
2024-12-13 17:12:07,316 - INFO - Epoch:[126/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.27
2024-12-13 17:12:08,844 - INFO - Epoch:[126/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.42
2024-12-13 17:12:10,353 - INFO - Epoch:[126/350] Step:[60/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.30
2024-12-13 17:12:11,898 - INFO - Epoch:[126/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.20
2024-12-13 17:12:13,095 - INFO - now the learning rate is: 0.00035931592643344257
2024-12-13 17:12:13,369 - INFO - begin training stage: [127/350]
2024-12-13 17:12:14,996 - INFO - Epoch:[127/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.42
2024-12-13 17:12:16,576 - INFO - Epoch:[127/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.29
2024-12-13 17:12:18,171 - INFO - Epoch:[127/350] Step:[30/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.39
2024-12-13 17:12:19,752 - INFO - Epoch:[127/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.24
2024-12-13 17:12:21,269 - INFO - Epoch:[127/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.37 contra_loss_cluster: 2.40
2024-12-13 17:12:22,766 - INFO - Epoch:[127/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.38
2024-12-13 17:12:24,337 - INFO - Epoch:[127/350] Step:[70/76] reconstruction_loss: 0.20 contra_loss: 3.35 contra_loss_cluster: 2.47
2024-12-13 17:12:25,580 - INFO - now the learning rate is: 0.0003573219322931719
2024-12-13 17:12:25,852 - INFO - begin training stage: [128/350]
2024-12-13 17:12:27,495 - INFO - Epoch:[128/350] Step:[10/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.29
2024-12-13 17:12:29,016 - INFO - Epoch:[128/350] Step:[20/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.35
2024-12-13 17:12:30,560 - INFO - Epoch:[128/350] Step:[30/76] reconstruction_loss: 0.20 contra_loss: 3.35 contra_loss_cluster: 2.28
2024-12-13 17:12:32,116 - INFO - Epoch:[128/350] Step:[40/76] reconstruction_loss: 0.21 contra_loss: 3.36 contra_loss_cluster: 2.38
2024-12-13 17:12:33,640 - INFO - Epoch:[128/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.38
2024-12-13 17:12:35,177 - INFO - Epoch:[128/350] Step:[60/76] reconstruction_loss: 0.20 contra_loss: 3.34 contra_loss_cluster: 2.27
2024-12-13 17:12:36,743 - INFO - Epoch:[128/350] Step:[70/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.30
2024-12-13 17:12:37,952 - INFO - now the learning rate is: 0.000355319694314428
2024-12-13 17:12:38,239 - INFO - begin training stage: [129/350]
2024-12-13 17:12:39,899 - INFO - Epoch:[129/350] Step:[10/76] reconstruction_loss: 0.20 contra_loss: 3.34 contra_loss_cluster: 2.50
2024-12-13 17:12:41,412 - INFO - Epoch:[129/350] Step:[20/76] reconstruction_loss: 0.20 contra_loss: 3.35 contra_loss_cluster: 2.32
2024-12-13 17:12:42,936 - INFO - Epoch:[129/350] Step:[30/76] reconstruction_loss: 0.20 contra_loss: 3.36 contra_loss_cluster: 2.35
2024-12-13 17:12:44,517 - INFO - Epoch:[129/350] Step:[40/76] reconstruction_loss: 0.20 contra_loss: 3.35 contra_loss_cluster: 2.32
2024-12-13 17:12:46,054 - INFO - Epoch:[129/350] Step:[50/76] reconstruction_loss: 0.21 contra_loss: 3.34 contra_loss_cluster: 2.35
2024-12-13 17:12:47,580 - INFO - Epoch:[129/350] Step:[60/76] reconstruction_loss: 0.21 contra_loss: 3.35 contra_loss_cluster: 2.38
2024-12-13 17:12:49,097 - INFO - Epoch:[129/350] Step:[70/76] reconstruction_loss: 0.20 contra_loss: 3.34 contra_loss_cluster: 2.26
2024-12-13 17:12:50,328 - INFO - now the learning rate is: 0.000353309373812836
2024-12-13 17:12:50,619 - INFO - begin training stage: [130/350]
2024-12-13 17:12:52,211 - INFO - Epoch:[130/350] Step:[10/76] reconstruction_loss: 0.22 contra_loss: 3.37 contra_loss_cluster: 2.43
2024-12-13 17:12:53,771 - INFO - Epoch:[130/350] Step:[20/76] reconstruction_loss: 0.22 contra_loss: 3.35 contra_loss_cluster: 2.23
2024-12-13 17:12:55,345 - INFO - Epoch:[130/350] Step:[30/76] reconstruction_loss: 0.20 contra_loss: 3.35 contra_loss_cluster: 2.40